Neurology

New surveillance data from the Vaccine Adverse Event Reporting System (VAERS) back previous findings of increased risk for Guillain-Barré syndrome (GBS) after receiving the Janssen COVID-19 vaccine (Ad26.COV2.S).

Over 14 months, GBS reporting rates within 21 and 42 days of administration of Janssen’s replication-incompetent adenoviral vector vaccine were approximately 9 to 12 times higher than after administration of the Pfizer-BioNTech (BNT162b2) or the Moderna (mRNA-1273) mRNA COVID vaccines.

Additionally, observed GBS cases after the Janssen shot were 2 to 3 times greater than expected, based on background rates within 21 and 42 days of vaccination.

Conversely, and confirming prior data, there was no increased risk for GBS with the Pfizer or Moderna vaccines and no significant difference between observed and expected numbers of GBS cases after either mRNA COVID-19 vaccine.

The findings were published online  in JAMA Network Open.
 

More precise risk estimates

Winston Abara, MD, with the U.S. Centers for Disease Control and Prevention, and colleagues analyzed GBS reports submitted to the VAERS between December 2020 and January 2022. 

Among 487.6 million COVID-19 vaccine doses administered, 3.7% were Janssen’s Ad26.COV2.S vaccine, 54.7% were Pfizer’s BNT162b2 vaccine, and 41.6% were Moderna’s mRNA-1273 vaccine.

There were 295 verified reports of GBS identified after COVID-19 vaccination. Of these, 209 occurred within 21 days of vaccination and 253 within 42 days.

Within 21 days of vaccination, GBS reporting rates per 1 million doses were 3.29 for the Janssen vaccine versus 0.29 and 0.35 for the Pfizer and Moderna vaccines, respectively. Within 42 days of vaccination, reporting rates per 1 million doses were 4.07, 0.34, and 0.44, respectively.

Also within 21 days of vaccination, GBS reporting rates were significantly higher with the Janssen vaccine than the Pfizer vaccine (reporting rate ratio, 11.40) and the Moderna vaccine (RRR, 9.26). Similar findings were observed within 42 days after vaccination.

The observed-to-expected ratios were 3.79 for 21-day and 2.34 for 42-day intervals after receipt of the Janssen vaccine, and less than 1 (not significant) after the Pfizer or Moderna vaccine within both post-vaccination periods.

“Unlike prior studies, our analysis included all U.S. reports of verified GBS cases that met the Brighton Collaboration GBS case definition criteria (Brighton Levels 1, 2, and 3) submitted over a 14-month surveillance period to the to the Vaccine Adverse Event Reporting System,” Dr. Abara said in an interview. “Because we used all U.S. reports, the sample of verified GBS cases in this analysis is larger than other studies. Therefore, it may provide a more precise estimate of the GBS risk within 21 and 42 days after mRNA and Ad26.COV2.S vaccination,” he said.
 

‘Remarkably low’ use

Nicola Klein, MD, PhD, Kaiser Permanente Vaccine Study Center, Oakland, Calif., noted that this is a “nice confirmatory analysis that supports and further expands what’s been observed before.”

Last year, as reported by this news organization, Dr. Klein and colleagues reported data from the Vaccine Safety Datalink confirming a small but statistically significant increased risk for GBS in the 3 weeks after receipt of the Janssen COVID-19 vaccine but not the Pfizer or Moderna vaccines.

Unlike VAERS, the Vaccine Safety Datalink is not a reporting system. It’s an active surveillance of medical records in the Kaiser Permanente system. The VAERS is a passive system, so it requires individuals to report GBS cases to the VAERS team, Dr. Klein explained.

So although the two studies are slightly different, overall, the VAERS data is “consistent with what we found,” she said.

Also weighing in, C. Buddy Creech, MD, MPH, director of the Vanderbilt Vaccine Research Program and professor of pediatrics at the Vanderbilt University School of Medicine, Nashville, Tenn., said it is “important to realize that GBS had been observed after adenovirus-vectored vaccines earlier in the pandemic, both for the AstraZeneca vaccine and the Janssen vaccine.”

The Advisory Committee on Immunization Practices (ACIP) preferentially recommends that people age 18 years and older receive an mRNA COVID-19 vaccine rather than the Janssen adenoviral vector vaccine when both types of COVID-19 vaccine are available.

“Thus, the use of the Janssen vaccine is remarkably low in the U.S. right now,” Dr. Creech said.

“Nevertheless, we have a firm commitment, both scientifically and ethically, to track potential side effects after vaccination and to make sure that the vaccines in use for COVID, and other important infectious diseases, are safe and effective,” he added.

The study had no commercial funding. Dr. Abara and Dr. Creech have reported no relevant financial relationships. Dr. Klein reported having received grants from Pfizer research support for a COVID vaccine clinical trial, as well as grants from Merck, GlaxoSmithKline, Sanofi Pasteur, and Protein Science (now Sanofi Pasteur).

A version of this article first appeared on Medscape.com.

New surveillance data from the Vaccine Adverse Event Reporting System (VAERS) back previous findings of increased risk for Guillain-Barré syndrome (GBS) after receiving the Janssen COVID-19 vaccine (Ad26.COV2.S).

Over 14 months, GBS reporting rates within 21 and 42 days of administration of Janssen’s replication-incompetent adenoviral vector vaccine were approximately 9 to 12 times higher than after administration of the Pfizer-BioNTech (BNT162b2) or the Moderna (mRNA-1273) mRNA COVID vaccines.

Additionally, observed GBS cases after the Janssen shot were 2 to 3 times greater than expected, based on background rates within 21 and 42 days of vaccination.

Conversely, and confirming prior data, there was no increased risk for GBS with the Pfizer or Moderna vaccines and no significant difference between observed and expected numbers of GBS cases after either mRNA COVID-19 vaccine.

The findings were published online  in JAMA Network Open.
 

More precise risk estimates

Winston Abara, MD, with the U.S. Centers for Disease Control and Prevention, and colleagues analyzed GBS reports submitted to the VAERS between December 2020 and January 2022. 

Among 487.6 million COVID-19 vaccine doses administered, 3.7% were Janssen’s Ad26.COV2.S vaccine, 54.7% were Pfizer’s BNT162b2 vaccine, and 41.6% were Moderna’s mRNA-1273 vaccine.

There were 295 verified reports of GBS identified after COVID-19 vaccination. Of these, 209 occurred within 21 days of vaccination and 253 within 42 days.

Within 21 days of vaccination, GBS reporting rates per 1 million doses were 3.29 for the Janssen vaccine versus 0.29 and 0.35 for the Pfizer and Moderna vaccines, respectively. Within 42 days of vaccination, reporting rates per 1 million doses were 4.07, 0.34, and 0.44, respectively.

Also within 21 days of vaccination, GBS reporting rates were significantly higher with the Janssen vaccine than the Pfizer vaccine (reporting rate ratio, 11.40) and the Moderna vaccine (RRR, 9.26). Similar findings were observed within 42 days after vaccination.

The observed-to-expected ratios were 3.79 for 21-day and 2.34 for 42-day intervals after receipt of the Janssen vaccine, and less than 1 (not significant) after the Pfizer or Moderna vaccine within both post-vaccination periods.

“Unlike prior studies, our analysis included all U.S. reports of verified GBS cases that met the Brighton Collaboration GBS case definition criteria (Brighton Levels 1, 2, and 3) submitted over a 14-month surveillance period to the to the Vaccine Adverse Event Reporting System,” Dr. Abara said in an interview. “Because we used all U.S. reports, the sample of verified GBS cases in this analysis is larger than other studies. Therefore, it may provide a more precise estimate of the GBS risk within 21 and 42 days after mRNA and Ad26.COV2.S vaccination,” he said.
 

‘Remarkably low’ use

Nicola Klein, MD, PhD, Kaiser Permanente Vaccine Study Center, Oakland, Calif., noted that this is a “nice confirmatory analysis that supports and further expands what’s been observed before.”

Last year, as reported by this news organization, Dr. Klein and colleagues reported data from the Vaccine Safety Datalink confirming a small but statistically significant increased risk for GBS in the 3 weeks after receipt of the Janssen COVID-19 vaccine but not the Pfizer or Moderna vaccines.

Unlike VAERS, the Vaccine Safety Datalink is not a reporting system. It’s an active surveillance of medical records in the Kaiser Permanente system. The VAERS is a passive system, so it requires individuals to report GBS cases to the VAERS team, Dr. Klein explained.

So although the two studies are slightly different, overall, the VAERS data is “consistent with what we found,” she said.

Also weighing in, C. Buddy Creech, MD, MPH, director of the Vanderbilt Vaccine Research Program and professor of pediatrics at the Vanderbilt University School of Medicine, Nashville, Tenn., said it is “important to realize that GBS had been observed after adenovirus-vectored vaccines earlier in the pandemic, both for the AstraZeneca vaccine and the Janssen vaccine.”

The Advisory Committee on Immunization Practices (ACIP) preferentially recommends that people age 18 years and older receive an mRNA COVID-19 vaccine rather than the Janssen adenoviral vector vaccine when both types of COVID-19 vaccine are available.

“Thus, the use of the Janssen vaccine is remarkably low in the U.S. right now,” Dr. Creech said.

“Nevertheless, we have a firm commitment, both scientifically and ethically, to track potential side effects after vaccination and to make sure that the vaccines in use for COVID, and other important infectious diseases, are safe and effective,” he added.

The study had no commercial funding. Dr. Abara and Dr. Creech have reported no relevant financial relationships. Dr. Klein reported having received grants from Pfizer research support for a COVID vaccine clinical trial, as well as grants from Merck, GlaxoSmithKline, Sanofi Pasteur, and Protein Science (now Sanofi Pasteur).

A version of this article first appeared on Medscape.com.

New surveillance data from the Vaccine Adverse Event Reporting System (VAERS) back previous findings of increased risk for Guillain-Barré syndrome (GBS) after receiving the Janssen COVID-19 vaccine (Ad26.COV2.S).

Over 14 months, GBS reporting rates within 21 and 42 days of administration of Janssen’s replication-incompetent adenoviral vector vaccine were approximately 9 to 12 times higher than after administration of the Pfizer-BioNTech (BNT162b2) or the Moderna (mRNA-1273) mRNA COVID vaccines.

Additionally, observed GBS cases after the Janssen shot were 2 to 3 times greater than expected, based on background rates within 21 and 42 days of vaccination.

Conversely, and confirming prior data, there was no increased risk for GBS with the Pfizer or Moderna vaccines and no significant difference between observed and expected numbers of GBS cases after either mRNA COVID-19 vaccine.

The findings were published online  in JAMA Network Open.
 

More precise risk estimates

Winston Abara, MD, with the U.S. Centers for Disease Control and Prevention, and colleagues analyzed GBS reports submitted to the VAERS between December 2020 and January 2022. 

Among 487.6 million COVID-19 vaccine doses administered, 3.7% were Janssen’s Ad26.COV2.S vaccine, 54.7% were Pfizer’s BNT162b2 vaccine, and 41.6% were Moderna’s mRNA-1273 vaccine.

There were 295 verified reports of GBS identified after COVID-19 vaccination. Of these, 209 occurred within 21 days of vaccination and 253 within 42 days.

Within 21 days of vaccination, GBS reporting rates per 1 million doses were 3.29 for the Janssen vaccine versus 0.29 and 0.35 for the Pfizer and Moderna vaccines, respectively. Within 42 days of vaccination, reporting rates per 1 million doses were 4.07, 0.34, and 0.44, respectively.

Also within 21 days of vaccination, GBS reporting rates were significantly higher with the Janssen vaccine than the Pfizer vaccine (reporting rate ratio, 11.40) and the Moderna vaccine (RRR, 9.26). Similar findings were observed within 42 days after vaccination.

The observed-to-expected ratios were 3.79 for 21-day and 2.34 for 42-day intervals after receipt of the Janssen vaccine, and less than 1 (not significant) after the Pfizer or Moderna vaccine within both post-vaccination periods.

“Unlike prior studies, our analysis included all U.S. reports of verified GBS cases that met the Brighton Collaboration GBS case definition criteria (Brighton Levels 1, 2, and 3) submitted over a 14-month surveillance period to the to the Vaccine Adverse Event Reporting System,” Dr. Abara said in an interview. “Because we used all U.S. reports, the sample of verified GBS cases in this analysis is larger than other studies. Therefore, it may provide a more precise estimate of the GBS risk within 21 and 42 days after mRNA and Ad26.COV2.S vaccination,” he said.
 

‘Remarkably low’ use

Nicola Klein, MD, PhD, Kaiser Permanente Vaccine Study Center, Oakland, Calif., noted that this is a “nice confirmatory analysis that supports and further expands what’s been observed before.”

Last year, as reported by this news organization, Dr. Klein and colleagues reported data from the Vaccine Safety Datalink confirming a small but statistically significant increased risk for GBS in the 3 weeks after receipt of the Janssen COVID-19 vaccine but not the Pfizer or Moderna vaccines.

Unlike VAERS, the Vaccine Safety Datalink is not a reporting system. It’s an active surveillance of medical records in the Kaiser Permanente system. The VAERS is a passive system, so it requires individuals to report GBS cases to the VAERS team, Dr. Klein explained.

So although the two studies are slightly different, overall, the VAERS data is “consistent with what we found,” she said.

Also weighing in, C. Buddy Creech, MD, MPH, director of the Vanderbilt Vaccine Research Program and professor of pediatrics at the Vanderbilt University School of Medicine, Nashville, Tenn., said it is “important to realize that GBS had been observed after adenovirus-vectored vaccines earlier in the pandemic, both for the AstraZeneca vaccine and the Janssen vaccine.”

The Advisory Committee on Immunization Practices (ACIP) preferentially recommends that people age 18 years and older receive an mRNA COVID-19 vaccine rather than the Janssen adenoviral vector vaccine when both types of COVID-19 vaccine are available.

“Thus, the use of the Janssen vaccine is remarkably low in the U.S. right now,” Dr. Creech said.

“Nevertheless, we have a firm commitment, both scientifically and ethically, to track potential side effects after vaccination and to make sure that the vaccines in use for COVID, and other important infectious diseases, are safe and effective,” he added.

The study had no commercial funding. Dr. Abara and Dr. Creech have reported no relevant financial relationships. Dr. Klein reported having received grants from Pfizer research support for a COVID vaccine clinical trial, as well as grants from Merck, GlaxoSmithKline, Sanofi Pasteur, and Protein Science (now Sanofi Pasteur).

A version of this article first appeared on Medscape.com.

Elevated depressive symptoms were associated with an additional brain age of nearly 3 years, based on data from more than 600 individuals.

Previous research suggests a possible link between depression and increased risk of dementia in older adults, but the association between depression and brain health in early adulthood and midlife has not been well studied, wrote Christina S. Dintica, PhD, of the University of California, San Francisco, and colleagues.

In a study published in the Journal of Affective Disorders, the researchers identified 649 individuals aged 23-36 at baseline who were part of the Coronary Artery Risk Development in Young Adults (CARDIA) study. All participants underwent brain MRI and cognitive testing. Depressive symptoms were assessed six times over a 25-year period using the Center for Epidemiological Studies Depression scale (CES–D), and the scores were analyzed as time-weighted averages (TWA). Elevated depressive symptoms were defined as CES-D scores of 16 or higher. Brain age was assessed via high-dimensional neuroimaging. Approximately half of the participants were female, and half were Black.

Overall, each 5-point increment in TWA depression symptoms over 25 years was associated with a 1-year increase in brain age, and individuals with elevated TWA depression averaged a 3-year increase in brain age compared with those with lower levels of depression after controlling for factors including chronological age, sex, education, race, MRI scanning site, and intracranial volume, they said. The association was attenuated in a model controlling for antidepressant use, and further attenuated after adjusting for smoking, alcohol consumption, income, body mass index, diabetes, and physical exercise.

The researchers also investigated the impact of the age period of elevated depressive symptoms on brain age. Compared with low depressive symptoms, elevated TWA CES-D at ages 30-39 years, 40-49 years, and 50-59 years was associated with increased brain ages of 2.43, 3.19, and 1.82.

In addition, elevated depressive symptoms were associated with a threefold increase in the odds of poor cognitive function at midlife (odds ratio, 3.30), although these odds were reduced after adjusting for use of antidepressants (OR, 1.47).

The mechanisms of action for the link between depression and accelerated brain aging remains uncertain, the researchers wrote in their discussion. “Studies over the last 20 years have demonstrated that increased inflammation and hyperactivity of the hypothalamic-pituitary-adrenal (HPA) axis are two of the most consistent biological findings in major depression, which have been linked to premature aging,” they noted. “Alternative explanations for the link between depression and adverse brain health could be underlying factors that explain both outcomes rather independently, such as low socioeconomic status, childhood maltreatment, or shared genetic effects,” they added.

Adjustment for antidepressant use had little effect overall on the association between depressive symptom severity and brain age, they said.

The current study findings were limited by the single assessment of brain age, which prevented evaluation of the temporality of the association between brain aging and depression, the researchers noted.

However, the results were strengthened by the large and diverse cohort, long-term follow-up, and use of high-dimensional neuroimaging, they said. Longitudinal studies are needed to explore mechanisms of action and the potential benefits of antidepressants, they added.

In the meantime, monitoring and treating depressive symptoms in young adults may help promote brain health in midlife and older age, they concluded.

The CARDIA study was supported by the National Heart, Lung, and Blood Institute, the National Institute on Aging, and the Alzheimer’s Association. The researchers had no financial conflicts to disclose.

Elevated depressive symptoms were associated with an additional brain age of nearly 3 years, based on data from more than 600 individuals.

Previous research suggests a possible link between depression and increased risk of dementia in older adults, but the association between depression and brain health in early adulthood and midlife has not been well studied, wrote Christina S. Dintica, PhD, of the University of California, San Francisco, and colleagues.

In a study published in the Journal of Affective Disorders, the researchers identified 649 individuals aged 23-36 at baseline who were part of the Coronary Artery Risk Development in Young Adults (CARDIA) study. All participants underwent brain MRI and cognitive testing. Depressive symptoms were assessed six times over a 25-year period using the Center for Epidemiological Studies Depression scale (CES–D), and the scores were analyzed as time-weighted averages (TWA). Elevated depressive symptoms were defined as CES-D scores of 16 or higher. Brain age was assessed via high-dimensional neuroimaging. Approximately half of the participants were female, and half were Black.

Overall, each 5-point increment in TWA depression symptoms over 25 years was associated with a 1-year increase in brain age, and individuals with elevated TWA depression averaged a 3-year increase in brain age compared with those with lower levels of depression after controlling for factors including chronological age, sex, education, race, MRI scanning site, and intracranial volume, they said. The association was attenuated in a model controlling for antidepressant use, and further attenuated after adjusting for smoking, alcohol consumption, income, body mass index, diabetes, and physical exercise.

The researchers also investigated the impact of the age period of elevated depressive symptoms on brain age. Compared with low depressive symptoms, elevated TWA CES-D at ages 30-39 years, 40-49 years, and 50-59 years was associated with increased brain ages of 2.43, 3.19, and 1.82.

In addition, elevated depressive symptoms were associated with a threefold increase in the odds of poor cognitive function at midlife (odds ratio, 3.30), although these odds were reduced after adjusting for use of antidepressants (OR, 1.47).

The mechanisms of action for the link between depression and accelerated brain aging remains uncertain, the researchers wrote in their discussion. “Studies over the last 20 years have demonstrated that increased inflammation and hyperactivity of the hypothalamic-pituitary-adrenal (HPA) axis are two of the most consistent biological findings in major depression, which have been linked to premature aging,” they noted. “Alternative explanations for the link between depression and adverse brain health could be underlying factors that explain both outcomes rather independently, such as low socioeconomic status, childhood maltreatment, or shared genetic effects,” they added.

Adjustment for antidepressant use had little effect overall on the association between depressive symptom severity and brain age, they said.

The current study findings were limited by the single assessment of brain age, which prevented evaluation of the temporality of the association between brain aging and depression, the researchers noted.

However, the results were strengthened by the large and diverse cohort, long-term follow-up, and use of high-dimensional neuroimaging, they said. Longitudinal studies are needed to explore mechanisms of action and the potential benefits of antidepressants, they added.

In the meantime, monitoring and treating depressive symptoms in young adults may help promote brain health in midlife and older age, they concluded.

The CARDIA study was supported by the National Heart, Lung, and Blood Institute, the National Institute on Aging, and the Alzheimer’s Association. The researchers had no financial conflicts to disclose.

Elevated depressive symptoms were associated with an additional brain age of nearly 3 years, based on data from more than 600 individuals.

Previous research suggests a possible link between depression and increased risk of dementia in older adults, but the association between depression and brain health in early adulthood and midlife has not been well studied, wrote Christina S. Dintica, PhD, of the University of California, San Francisco, and colleagues.

In a study published in the Journal of Affective Disorders, the researchers identified 649 individuals aged 23-36 at baseline who were part of the Coronary Artery Risk Development in Young Adults (CARDIA) study. All participants underwent brain MRI and cognitive testing. Depressive symptoms were assessed six times over a 25-year period using the Center for Epidemiological Studies Depression scale (CES–D), and the scores were analyzed as time-weighted averages (TWA). Elevated depressive symptoms were defined as CES-D scores of 16 or higher. Brain age was assessed via high-dimensional neuroimaging. Approximately half of the participants were female, and half were Black.

Overall, each 5-point increment in TWA depression symptoms over 25 years was associated with a 1-year increase in brain age, and individuals with elevated TWA depression averaged a 3-year increase in brain age compared with those with lower levels of depression after controlling for factors including chronological age, sex, education, race, MRI scanning site, and intracranial volume, they said. The association was attenuated in a model controlling for antidepressant use, and further attenuated after adjusting for smoking, alcohol consumption, income, body mass index, diabetes, and physical exercise.

The researchers also investigated the impact of the age period of elevated depressive symptoms on brain age. Compared with low depressive symptoms, elevated TWA CES-D at ages 30-39 years, 40-49 years, and 50-59 years was associated with increased brain ages of 2.43, 3.19, and 1.82.

In addition, elevated depressive symptoms were associated with a threefold increase in the odds of poor cognitive function at midlife (odds ratio, 3.30), although these odds were reduced after adjusting for use of antidepressants (OR, 1.47).

The mechanisms of action for the link between depression and accelerated brain aging remains uncertain, the researchers wrote in their discussion. “Studies over the last 20 years have demonstrated that increased inflammation and hyperactivity of the hypothalamic-pituitary-adrenal (HPA) axis are two of the most consistent biological findings in major depression, which have been linked to premature aging,” they noted. “Alternative explanations for the link between depression and adverse brain health could be underlying factors that explain both outcomes rather independently, such as low socioeconomic status, childhood maltreatment, or shared genetic effects,” they added.

Adjustment for antidepressant use had little effect overall on the association between depressive symptom severity and brain age, they said.

The current study findings were limited by the single assessment of brain age, which prevented evaluation of the temporality of the association between brain aging and depression, the researchers noted.

However, the results were strengthened by the large and diverse cohort, long-term follow-up, and use of high-dimensional neuroimaging, they said. Longitudinal studies are needed to explore mechanisms of action and the potential benefits of antidepressants, they added.

In the meantime, monitoring and treating depressive symptoms in young adults may help promote brain health in midlife and older age, they concluded.

The CARDIA study was supported by the National Heart, Lung, and Blood Institute, the National Institute on Aging, and the Alzheimer’s Association. The researchers had no financial conflicts to disclose.

Childhood stress can change the brain negatively, according to a new study that says Black children are affected more because they experience more poverty and adversity.

“The researchers analyzed MRI scans to identify small differences in the volume of certain brain structures, and said these could accumulate as children age and play a role in the later development of mental health problems,” STAT News reported. “The finding, part of an emerging research field looking at how racism and other social factors may affect the physical architecture of the brain, may help explain longstanding racial disparities in the prevalence of psychiatric disorders such as PTSD.”

The study was published in The American Journal of Psychiatry.

Brain development is affected by “disparities faced by certain groups of people,” even among children as young as 9 years old, said Nathaniel Harnett, an assistant professor of psychiatry at Harvard Medical School, Boston, and the study’s senior author. “If we’re going to treat the world as colorblind, we’re not going to create mental health solutions that are effective for all people.”

The study used evidence from the Adolescent Brain Cognitive Development Study, which the National Institutes of Health established in 2015 to study the brains and experiences of thousands of American children through early adulthood.

Brain scans revealed that Black children had less gray matter in 11 of 14 brain areas that were examined. Disparities in 8 of the 14 brain areas were affected by childhood adversity, particularly poverty.

A version of this article first appeared on WebMD.com.

Childhood stress can change the brain negatively, according to a new study that says Black children are affected more because they experience more poverty and adversity.

“The researchers analyzed MRI scans to identify small differences in the volume of certain brain structures, and said these could accumulate as children age and play a role in the later development of mental health problems,” STAT News reported. “The finding, part of an emerging research field looking at how racism and other social factors may affect the physical architecture of the brain, may help explain longstanding racial disparities in the prevalence of psychiatric disorders such as PTSD.”

The study was published in The American Journal of Psychiatry.

Brain development is affected by “disparities faced by certain groups of people,” even among children as young as 9 years old, said Nathaniel Harnett, an assistant professor of psychiatry at Harvard Medical School, Boston, and the study’s senior author. “If we’re going to treat the world as colorblind, we’re not going to create mental health solutions that are effective for all people.”

The study used evidence from the Adolescent Brain Cognitive Development Study, which the National Institutes of Health established in 2015 to study the brains and experiences of thousands of American children through early adulthood.

Brain scans revealed that Black children had less gray matter in 11 of 14 brain areas that were examined. Disparities in 8 of the 14 brain areas were affected by childhood adversity, particularly poverty.

A version of this article first appeared on WebMD.com.

Childhood stress can change the brain negatively, according to a new study that says Black children are affected more because they experience more poverty and adversity.

“The researchers analyzed MRI scans to identify small differences in the volume of certain brain structures, and said these could accumulate as children age and play a role in the later development of mental health problems,” STAT News reported. “The finding, part of an emerging research field looking at how racism and other social factors may affect the physical architecture of the brain, may help explain longstanding racial disparities in the prevalence of psychiatric disorders such as PTSD.”

The study was published in The American Journal of Psychiatry.

Brain development is affected by “disparities faced by certain groups of people,” even among children as young as 9 years old, said Nathaniel Harnett, an assistant professor of psychiatry at Harvard Medical School, Boston, and the study’s senior author. “If we’re going to treat the world as colorblind, we’re not going to create mental health solutions that are effective for all people.”

The study used evidence from the Adolescent Brain Cognitive Development Study, which the National Institutes of Health established in 2015 to study the brains and experiences of thousands of American children through early adulthood.

Brain scans revealed that Black children had less gray matter in 11 of 14 brain areas that were examined. Disparities in 8 of the 14 brain areas were affected by childhood adversity, particularly poverty.

A version of this article first appeared on WebMD.com.

A mandatory cognitive screening policy targeting older drivers appeared to lower car crashes involving people over 70, according to results from a large population-based study using data from Japan.

But the same study, published in the Journal of the American Geriatrics Society, also reported a concurrent increase in pedestrian and cycling injuries, possibly because more older former drivers were getting around by alternative means. That finding echoed a 2012 study from Denmark, which also looked at the effects of an age-based cognitive screening policy for older drivers, and saw more fatal road injuries among older people who were not driving.

While some governments, including those of Denmark, Taiwan, and Japan, have implemented age-based cognitive screening for older drivers, there has been little evidence to date that such policies improve road safety. Guidelines issued in 2010 by the American Academy of Neurology discourage age-based screening, advising instead that people diagnosed with cognitive disorders be carefully evaluated for driving fitness and recommending one widely used scale, the Clinical Dementia Rating, as useful in identifying potentially unsafe drivers.
 

Japan’s national screening policy: Did it work?

The new study, led by Haruhiko Inada, MD, PhD, an epidemiologist at Johns Hopkins University in Baltimore, used national crash data from Japan, where since 2017 all drivers 75 and older not only must take cognitive tests measuring temporal orientation and memory at license renewal, but are also referred for medical evaluation if they fail them. People receiving a subsequent dementia diagnosis can have their licenses suspended or revoked.

Dr. Inada and his colleagues looked at national data from nearly 603,000 police-reported vehicle collisions and nearly 197,000 pedestrian or cyclist road injuries between March 2012 and December 2019, all involving people aged 70 and older. To assess the screening policy’s impact, the researchers calculated estimated monthly collision or injury incidence rates per 100,000 person-years. This way, they could “control for secular trends that were unaffected by the policy, such as the decreasing incidence of motor vehicle collisions year by year,” the researchers explained.

After the screening was implemented, cumulative estimated collisions among drivers 75 or older decreased by 3,670 (95% confidence interval, 5,125-2,104), while reported pedestrian or cyclist injuries increased by an estimated 959 (95% CI, 24-1,834). Dr. Inada and colleagues found that crashes declined among men but not women, noting also that more older men than women are licensed to drive in Japan. Pedestrian and cyclist injuries were highest among men aged 80-84, and women aged 80 and older.

“Cognitively screening older drivers at license renewal and promoting voluntary surrender of licenses may prevent motor vehicle collisions,” Dr. Inada and his colleagues concluded. “However, they are associated with an increase in road injuries for older pedestrians and cyclists. Future studies should examine the effectiveness of mitigation measures, such as alternative, safe transportation, and accommodations for pedestrians and cyclists.”
 

No definitive answers

Two investigators who have studied cognitive screening related to road safety were contacted for commentary on the study findings.

Anu Siren, PhD, professor of gerontology at Tampere (Finland) University, who in 2012 reported higher injuries after implementation of older-driver cognitive screening in Denmark, commented that the new study, while benefiting from a much larger data set than earlier studies, still “fails to show that decrease in collisions is because ‘unfit’ drivers were removed from the road. But it does confirm previous findings about how strict screening policies make people shift from cars to unprotected modes of transportation,” which are riskier.

In studies measuring driving safety, the usual definition of risk is incidents per exposure, Dr. Siren noted. In Dr. Inada and colleagues’ study, “the incident measure, or numerator, is the number of collisions. The exposure measure or denominator is population. Because the study uses population and not driver licenses (or distance traveled) as an exposure measure, the observed decrease in collisions does not say much about how the collision risk develops after the implementation of screening.”

Older driver screening “is likely to cause some older persons to cease from driving and probably continue to travel as unprotected road users,” Dr. Siren continued. “Similar to what we found [in 2012], the injury rates for pedestrians and cyclists went up after the introduction of screening, which suggests that screening indirectly causes increasing number of injuries among older unprotected road users.”

Matthew Rizzo, MD, professor and chair of the department of neurological sciences at the University of Nebraska Medical Center and codirector of the Nebraska Neuroscience Alliance in Omaha, Neb., and the lead author of the 2010 AAN guidelines on cognitive impairment and driving risk, cautioned against ageism in designing policies meant to protect motorists.

“We find some erratic/weak effects of age here and there, but the big effects we consistently find are from cognitive and visual decline – which is somewhat correlated with age, but with huge variance,” Dr. Rizzo said. “It is hard to say what an optimal age threshold for risk would be, and if 75 is it.”

U.S. crash data from the last decade points to drivers 80 and older as significantly more accident-prone than those in their 70s, or even late 70s, Dr. Rizzo noted. Moreover, “willingness to get on the road, number of miles driven, type of road (urban, rural, highway, commercial, residential), type of vehicle driven, traffic, and environment (day, night, weather), et cetera, are all factors to consider in driving risk and restriction,” he said.

Dr. Rizzo added that the 2010 AAN guidelines might need to be revisited in light of newer vehicle safety systems and automation.

Dr. Inada and colleagues’ study was funded by Japanese government grants, and Dr. Inada and his coauthors reported no financial conflicts of interest. Dr. Siren and Dr. Rizzo reported no financial conflicts of interest.
 

A mandatory cognitive screening policy targeting older drivers appeared to lower car crashes involving people over 70, according to results from a large population-based study using data from Japan.

But the same study, published in the Journal of the American Geriatrics Society, also reported a concurrent increase in pedestrian and cycling injuries, possibly because more older former drivers were getting around by alternative means. That finding echoed a 2012 study from Denmark, which also looked at the effects of an age-based cognitive screening policy for older drivers, and saw more fatal road injuries among older people who were not driving.

While some governments, including those of Denmark, Taiwan, and Japan, have implemented age-based cognitive screening for older drivers, there has been little evidence to date that such policies improve road safety. Guidelines issued in 2010 by the American Academy of Neurology discourage age-based screening, advising instead that people diagnosed with cognitive disorders be carefully evaluated for driving fitness and recommending one widely used scale, the Clinical Dementia Rating, as useful in identifying potentially unsafe drivers.
 

Japan’s national screening policy: Did it work?

The new study, led by Haruhiko Inada, MD, PhD, an epidemiologist at Johns Hopkins University in Baltimore, used national crash data from Japan, where since 2017 all drivers 75 and older not only must take cognitive tests measuring temporal orientation and memory at license renewal, but are also referred for medical evaluation if they fail them. People receiving a subsequent dementia diagnosis can have their licenses suspended or revoked.

Dr. Inada and his colleagues looked at national data from nearly 603,000 police-reported vehicle collisions and nearly 197,000 pedestrian or cyclist road injuries between March 2012 and December 2019, all involving people aged 70 and older. To assess the screening policy’s impact, the researchers calculated estimated monthly collision or injury incidence rates per 100,000 person-years. This way, they could “control for secular trends that were unaffected by the policy, such as the decreasing incidence of motor vehicle collisions year by year,” the researchers explained.

After the screening was implemented, cumulative estimated collisions among drivers 75 or older decreased by 3,670 (95% confidence interval, 5,125-2,104), while reported pedestrian or cyclist injuries increased by an estimated 959 (95% CI, 24-1,834). Dr. Inada and colleagues found that crashes declined among men but not women, noting also that more older men than women are licensed to drive in Japan. Pedestrian and cyclist injuries were highest among men aged 80-84, and women aged 80 and older.

“Cognitively screening older drivers at license renewal and promoting voluntary surrender of licenses may prevent motor vehicle collisions,” Dr. Inada and his colleagues concluded. “However, they are associated with an increase in road injuries for older pedestrians and cyclists. Future studies should examine the effectiveness of mitigation measures, such as alternative, safe transportation, and accommodations for pedestrians and cyclists.”
 

No definitive answers

Two investigators who have studied cognitive screening related to road safety were contacted for commentary on the study findings.

Anu Siren, PhD, professor of gerontology at Tampere (Finland) University, who in 2012 reported higher injuries after implementation of older-driver cognitive screening in Denmark, commented that the new study, while benefiting from a much larger data set than earlier studies, still “fails to show that decrease in collisions is because ‘unfit’ drivers were removed from the road. But it does confirm previous findings about how strict screening policies make people shift from cars to unprotected modes of transportation,” which are riskier.

In studies measuring driving safety, the usual definition of risk is incidents per exposure, Dr. Siren noted. In Dr. Inada and colleagues’ study, “the incident measure, or numerator, is the number of collisions. The exposure measure or denominator is population. Because the study uses population and not driver licenses (or distance traveled) as an exposure measure, the observed decrease in collisions does not say much about how the collision risk develops after the implementation of screening.”

Older driver screening “is likely to cause some older persons to cease from driving and probably continue to travel as unprotected road users,” Dr. Siren continued. “Similar to what we found [in 2012], the injury rates for pedestrians and cyclists went up after the introduction of screening, which suggests that screening indirectly causes increasing number of injuries among older unprotected road users.”

Matthew Rizzo, MD, professor and chair of the department of neurological sciences at the University of Nebraska Medical Center and codirector of the Nebraska Neuroscience Alliance in Omaha, Neb., and the lead author of the 2010 AAN guidelines on cognitive impairment and driving risk, cautioned against ageism in designing policies meant to protect motorists.

“We find some erratic/weak effects of age here and there, but the big effects we consistently find are from cognitive and visual decline – which is somewhat correlated with age, but with huge variance,” Dr. Rizzo said. “It is hard to say what an optimal age threshold for risk would be, and if 75 is it.”

U.S. crash data from the last decade points to drivers 80 and older as significantly more accident-prone than those in their 70s, or even late 70s, Dr. Rizzo noted. Moreover, “willingness to get on the road, number of miles driven, type of road (urban, rural, highway, commercial, residential), type of vehicle driven, traffic, and environment (day, night, weather), et cetera, are all factors to consider in driving risk and restriction,” he said.

Dr. Rizzo added that the 2010 AAN guidelines might need to be revisited in light of newer vehicle safety systems and automation.

Dr. Inada and colleagues’ study was funded by Japanese government grants, and Dr. Inada and his coauthors reported no financial conflicts of interest. Dr. Siren and Dr. Rizzo reported no financial conflicts of interest.
 

A mandatory cognitive screening policy targeting older drivers appeared to lower car crashes involving people over 70, according to results from a large population-based study using data from Japan.

But the same study, published in the Journal of the American Geriatrics Society, also reported a concurrent increase in pedestrian and cycling injuries, possibly because more older former drivers were getting around by alternative means. That finding echoed a 2012 study from Denmark, which also looked at the effects of an age-based cognitive screening policy for older drivers, and saw more fatal road injuries among older people who were not driving.

While some governments, including those of Denmark, Taiwan, and Japan, have implemented age-based cognitive screening for older drivers, there has been little evidence to date that such policies improve road safety. Guidelines issued in 2010 by the American Academy of Neurology discourage age-based screening, advising instead that people diagnosed with cognitive disorders be carefully evaluated for driving fitness and recommending one widely used scale, the Clinical Dementia Rating, as useful in identifying potentially unsafe drivers.
 

Japan’s national screening policy: Did it work?

The new study, led by Haruhiko Inada, MD, PhD, an epidemiologist at Johns Hopkins University in Baltimore, used national crash data from Japan, where since 2017 all drivers 75 and older not only must take cognitive tests measuring temporal orientation and memory at license renewal, but are also referred for medical evaluation if they fail them. People receiving a subsequent dementia diagnosis can have their licenses suspended or revoked.

Dr. Inada and his colleagues looked at national data from nearly 603,000 police-reported vehicle collisions and nearly 197,000 pedestrian or cyclist road injuries between March 2012 and December 2019, all involving people aged 70 and older. To assess the screening policy’s impact, the researchers calculated estimated monthly collision or injury incidence rates per 100,000 person-years. This way, they could “control for secular trends that were unaffected by the policy, such as the decreasing incidence of motor vehicle collisions year by year,” the researchers explained.

After the screening was implemented, cumulative estimated collisions among drivers 75 or older decreased by 3,670 (95% confidence interval, 5,125-2,104), while reported pedestrian or cyclist injuries increased by an estimated 959 (95% CI, 24-1,834). Dr. Inada and colleagues found that crashes declined among men but not women, noting also that more older men than women are licensed to drive in Japan. Pedestrian and cyclist injuries were highest among men aged 80-84, and women aged 80 and older.

“Cognitively screening older drivers at license renewal and promoting voluntary surrender of licenses may prevent motor vehicle collisions,” Dr. Inada and his colleagues concluded. “However, they are associated with an increase in road injuries for older pedestrians and cyclists. Future studies should examine the effectiveness of mitigation measures, such as alternative, safe transportation, and accommodations for pedestrians and cyclists.”
 

No definitive answers

Two investigators who have studied cognitive screening related to road safety were contacted for commentary on the study findings.

Anu Siren, PhD, professor of gerontology at Tampere (Finland) University, who in 2012 reported higher injuries after implementation of older-driver cognitive screening in Denmark, commented that the new study, while benefiting from a much larger data set than earlier studies, still “fails to show that decrease in collisions is because ‘unfit’ drivers were removed from the road. But it does confirm previous findings about how strict screening policies make people shift from cars to unprotected modes of transportation,” which are riskier.

In studies measuring driving safety, the usual definition of risk is incidents per exposure, Dr. Siren noted. In Dr. Inada and colleagues’ study, “the incident measure, or numerator, is the number of collisions. The exposure measure or denominator is population. Because the study uses population and not driver licenses (or distance traveled) as an exposure measure, the observed decrease in collisions does not say much about how the collision risk develops after the implementation of screening.”

Older driver screening “is likely to cause some older persons to cease from driving and probably continue to travel as unprotected road users,” Dr. Siren continued. “Similar to what we found [in 2012], the injury rates for pedestrians and cyclists went up after the introduction of screening, which suggests that screening indirectly causes increasing number of injuries among older unprotected road users.”

Matthew Rizzo, MD, professor and chair of the department of neurological sciences at the University of Nebraska Medical Center and codirector of the Nebraska Neuroscience Alliance in Omaha, Neb., and the lead author of the 2010 AAN guidelines on cognitive impairment and driving risk, cautioned against ageism in designing policies meant to protect motorists.

“We find some erratic/weak effects of age here and there, but the big effects we consistently find are from cognitive and visual decline – which is somewhat correlated with age, but with huge variance,” Dr. Rizzo said. “It is hard to say what an optimal age threshold for risk would be, and if 75 is it.”

U.S. crash data from the last decade points to drivers 80 and older as significantly more accident-prone than those in their 70s, or even late 70s, Dr. Rizzo noted. Moreover, “willingness to get on the road, number of miles driven, type of road (urban, rural, highway, commercial, residential), type of vehicle driven, traffic, and environment (day, night, weather), et cetera, are all factors to consider in driving risk and restriction,” he said.

Dr. Rizzo added that the 2010 AAN guidelines might need to be revisited in light of newer vehicle safety systems and automation.

Dr. Inada and colleagues’ study was funded by Japanese government grants, and Dr. Inada and his coauthors reported no financial conflicts of interest. Dr. Siren and Dr. Rizzo reported no financial conflicts of interest.
 

People with autism are more likely to face diabetes, high cholesterol, and heart disease than those without the neurologic condition, according to a study published in JAMA Pediatrics. Researchers also found that children with autism are especially likely to develop diabetes compared with their peers, and are at greater risk of hypertension, too.

While the link between autism and risk for obesity and gastrointestinal ailments is well-established, the new findings suggest that clinicians who care for these patients – particularly children – should focus on cardiometabolic health more broadly.

“Clinicians who are treating kids with autism need to pay more attention to this,” said Chanaka N. Kahathuduwa, MD, PhD, MPhil, of the department of neurology at Texas Tech University Health Sciences Center, in Lubbock, and a coauthor of the new study.

A pediatrician may prescribe an atypical antipsychotic medication such as risperidone to regulate the behavior of an autistic child, Dr. Kahathuduwa said, which may increase their cholesterol levels. Although this or similar drugs may be necessary in some cases, Dr. Kahathuduwa advised that clinicians explore other treatment options first.
 

Mining data from previously published studies

For the new analysis, Dr. Kahathuduwa and his colleagues pooled the results of 34 previously published studies, which included medical records of more than 276,000 people with autism and close to 8 million people without the condition.

Study participants were an average age of 31 years, and 47% were female. Some studies reported age ranges that enabled the researchers to differentiate between children and adults.

People with autism were 64% more likely to develop type 1 diabetes, 146% more likely to experience type 2 diabetes, and 46% more likely to have heart disease, overall, the study found. Children with autism were almost twice as likely as their peers to develop diabetes (184%) and high blood pressure (154%).

The study found associations, not causation, and does not include detailed data about medication prescribing patterns. While it would be ideal to understand why autism is linked to cardiometabolic risk, to address the link most effectively, Dr. Kahathuduwa said the causes likely are multifactorial. Medication history and genetics each play a role in a way that is hard to untangle. Even so, Dr. Kahathuduwa said he hoped the findings prompt clinicians to reevaluate how they treat their patients with autism.

“This may be an eye opener,” he said.

An editorial accompanying the study noted that people with autism may die up to 30 years earlier than people without autism, in part because of the physical health problems surfaced in the new research. They also are more likely than others to attempt suicide.

Elizabeth M. Weir, PhD, of the Autism Research Centre at the University of Cambridge (England) and author of the editorial, argued that current health delivery models often fail autistic people by not taking their needs into account.

Dr. Weir told this news organization that making adjustments such as dimming the lights for a light-sensitive patient or allowing people with autism to bring an advocate to appointments could build rapport.

“I diagnose autism pretty much every day and I know families get so overwhelmed with all the recommendations that we give,” said Sonia Monteiro, MD, a developmental and behavioral pediatrician at Texas Children’s Hospital in Houston. Still, Dr. Monteiro said clinicians should help parents of children with autism address the potential long-term cardiovascular risks – but to do so by layering in the information rather than merely adding more bullet points to an already long presentation.

“We know this information now, but finding a way to share that with families without overwhelming them even more, I think is challenging,” Dr. Monteiro said. “But it’s not something we can ignore.”

Dr. Kahathuduwa, Dr. Weir, and Dr. Monteiro report no relevant financial relationships.

A version of this article first appeared on Medscape.com.

People with autism are more likely to face diabetes, high cholesterol, and heart disease than those without the neurologic condition, according to a study published in JAMA Pediatrics. Researchers also found that children with autism are especially likely to develop diabetes compared with their peers, and are at greater risk of hypertension, too.

While the link between autism and risk for obesity and gastrointestinal ailments is well-established, the new findings suggest that clinicians who care for these patients – particularly children – should focus on cardiometabolic health more broadly.

“Clinicians who are treating kids with autism need to pay more attention to this,” said Chanaka N. Kahathuduwa, MD, PhD, MPhil, of the department of neurology at Texas Tech University Health Sciences Center, in Lubbock, and a coauthor of the new study.

A pediatrician may prescribe an atypical antipsychotic medication such as risperidone to regulate the behavior of an autistic child, Dr. Kahathuduwa said, which may increase their cholesterol levels. Although this or similar drugs may be necessary in some cases, Dr. Kahathuduwa advised that clinicians explore other treatment options first.
 

Mining data from previously published studies

For the new analysis, Dr. Kahathuduwa and his colleagues pooled the results of 34 previously published studies, which included medical records of more than 276,000 people with autism and close to 8 million people without the condition.

Study participants were an average age of 31 years, and 47% were female. Some studies reported age ranges that enabled the researchers to differentiate between children and adults.

People with autism were 64% more likely to develop type 1 diabetes, 146% more likely to experience type 2 diabetes, and 46% more likely to have heart disease, overall, the study found. Children with autism were almost twice as likely as their peers to develop diabetes (184%) and high blood pressure (154%).

The study found associations, not causation, and does not include detailed data about medication prescribing patterns. While it would be ideal to understand why autism is linked to cardiometabolic risk, to address the link most effectively, Dr. Kahathuduwa said the causes likely are multifactorial. Medication history and genetics each play a role in a way that is hard to untangle. Even so, Dr. Kahathuduwa said he hoped the findings prompt clinicians to reevaluate how they treat their patients with autism.

“This may be an eye opener,” he said.

An editorial accompanying the study noted that people with autism may die up to 30 years earlier than people without autism, in part because of the physical health problems surfaced in the new research. They also are more likely than others to attempt suicide.

Elizabeth M. Weir, PhD, of the Autism Research Centre at the University of Cambridge (England) and author of the editorial, argued that current health delivery models often fail autistic people by not taking their needs into account.

Dr. Weir told this news organization that making adjustments such as dimming the lights for a light-sensitive patient or allowing people with autism to bring an advocate to appointments could build rapport.

“I diagnose autism pretty much every day and I know families get so overwhelmed with all the recommendations that we give,” said Sonia Monteiro, MD, a developmental and behavioral pediatrician at Texas Children’s Hospital in Houston. Still, Dr. Monteiro said clinicians should help parents of children with autism address the potential long-term cardiovascular risks – but to do so by layering in the information rather than merely adding more bullet points to an already long presentation.

“We know this information now, but finding a way to share that with families without overwhelming them even more, I think is challenging,” Dr. Monteiro said. “But it’s not something we can ignore.”

Dr. Kahathuduwa, Dr. Weir, and Dr. Monteiro report no relevant financial relationships.

A version of this article first appeared on Medscape.com.

People with autism are more likely to face diabetes, high cholesterol, and heart disease than those without the neurologic condition, according to a study published in JAMA Pediatrics. Researchers also found that children with autism are especially likely to develop diabetes compared with their peers, and are at greater risk of hypertension, too.

While the link between autism and risk for obesity and gastrointestinal ailments is well-established, the new findings suggest that clinicians who care for these patients – particularly children – should focus on cardiometabolic health more broadly.

“Clinicians who are treating kids with autism need to pay more attention to this,” said Chanaka N. Kahathuduwa, MD, PhD, MPhil, of the department of neurology at Texas Tech University Health Sciences Center, in Lubbock, and a coauthor of the new study.

A pediatrician may prescribe an atypical antipsychotic medication such as risperidone to regulate the behavior of an autistic child, Dr. Kahathuduwa said, which may increase their cholesterol levels. Although this or similar drugs may be necessary in some cases, Dr. Kahathuduwa advised that clinicians explore other treatment options first.
 

Mining data from previously published studies

For the new analysis, Dr. Kahathuduwa and his colleagues pooled the results of 34 previously published studies, which included medical records of more than 276,000 people with autism and close to 8 million people without the condition.

Study participants were an average age of 31 years, and 47% were female. Some studies reported age ranges that enabled the researchers to differentiate between children and adults.

People with autism were 64% more likely to develop type 1 diabetes, 146% more likely to experience type 2 diabetes, and 46% more likely to have heart disease, overall, the study found. Children with autism were almost twice as likely as their peers to develop diabetes (184%) and high blood pressure (154%).

The study found associations, not causation, and does not include detailed data about medication prescribing patterns. While it would be ideal to understand why autism is linked to cardiometabolic risk, to address the link most effectively, Dr. Kahathuduwa said the causes likely are multifactorial. Medication history and genetics each play a role in a way that is hard to untangle. Even so, Dr. Kahathuduwa said he hoped the findings prompt clinicians to reevaluate how they treat their patients with autism.

“This may be an eye opener,” he said.

An editorial accompanying the study noted that people with autism may die up to 30 years earlier than people without autism, in part because of the physical health problems surfaced in the new research. They also are more likely than others to attempt suicide.

Elizabeth M. Weir, PhD, of the Autism Research Centre at the University of Cambridge (England) and author of the editorial, argued that current health delivery models often fail autistic people by not taking their needs into account.

Dr. Weir told this news organization that making adjustments such as dimming the lights for a light-sensitive patient or allowing people with autism to bring an advocate to appointments could build rapport.

“I diagnose autism pretty much every day and I know families get so overwhelmed with all the recommendations that we give,” said Sonia Monteiro, MD, a developmental and behavioral pediatrician at Texas Children’s Hospital in Houston. Still, Dr. Monteiro said clinicians should help parents of children with autism address the potential long-term cardiovascular risks – but to do so by layering in the information rather than merely adding more bullet points to an already long presentation.

“We know this information now, but finding a way to share that with families without overwhelming them even more, I think is challenging,” Dr. Monteiro said. “But it’s not something we can ignore.”

Dr. Kahathuduwa, Dr. Weir, and Dr. Monteiro report no relevant financial relationships.

A version of this article first appeared on Medscape.com.

Brain atrophy patterns are similar in individuals with obesity and those with Alzheimer’s disease (AD), a new study shows.

Comparisons of MRI scans for more than 1,000 participants indicate correlations between the two conditions, especially in areas of gray matter thinning, suggesting that managing excess weight might slow cognitive decline and lower the risk for AD, according to the researchers.

However, brain maps of obesity did not correlate with maps of amyloid or tau protein accumulation.

“The fact that obesity-related brain atrophy did not correlate with the distribution of amyloid and tau proteins in AD was not what we expected,” study author Filip Morys, PhD, a postdoctoral researcher at McGill University, Montreal, said in an interview. “But it might just show that the specific mechanisms underpinning obesity- and Alzheimer’s disease–related neurodegeneration are different. This remains to be confirmed.”

The study was published in the Journal of Alzheimer’s Disease.
 

Cortical Thinning

The current study was prompted by the team’s earlier study, which showed that obesity-related neurodegeneration patterns were visually similar to those of AD, said Dr. Morys. “It was known previously that obesity is a risk factor for AD, but we wanted to directly compare brain atrophy patterns in both, which is what we did in this new study.”

The researchers analyzed data from a pooled sample of more than 1,300 participants. From the ADNI database, the researchers selected participants with AD and age- and sex-matched cognitively healthy controls. From the UK Biobank, the researchers drew a sample of lean, overweight, and obese participants without neurologic disease.

To determine how the weight status of patients with AD affects the correspondence between AD and obesity maps, they categorized participants with AD and healthy controls from the ADNI database into lean, overweight, and obese subgroups.

Then, to investigate mechanisms that might drive the similarities between obesity-related brain atrophy and AD-related amyloid-beta accumulation, they looked for overlapping areas in PET brain maps between patients with these outcomes.

The investigations showed that obesity maps were highly correlated with AD maps, but not with amyloid-beta or tau protein maps. The researchers also found significant correlations between obesity and the lean individuals with AD.

Brain regions with the highest similarities between obesity and AD were located mainly in the left temporal and bilateral prefrontal cortices.

“Our research confirms that obesity-related gray matter atrophy resembles that of AD,” the authors concluded. “Excess weight management could lead to improved health outcomes, slow down cognitive decline in aging, and lower the risk for AD.”

Upcoming research “will focus on investigating how weight loss can affect the risk for AD, other dementias, and cognitive decline in general,” said Dr. Morys. “At this point, our study suggests that obesity prevention, weight loss, but also decreasing other metabolic risk factors related to obesity, such as type-2 diabetes or hypertension, might reduce the risk for AD and have beneficial effects on cognition.”
 

Lifestyle habits

Commenting on the findings, Claire Sexton, DPhil, vice president of scientific programs and outreach at the Alzheimer’s Association, cautioned that a single cross-sectional study isn’t conclusive. “Previous studies have illustrated that the relationship between obesity and dementia is complex. Growing evidence indicates that people can reduce their risk of cognitive decline by adopting key lifestyle habits, like regular exercise, a heart-healthy diet and staying socially and cognitively engaged.”

The Alzheimer’s Association is leading a 2-year clinical trial, U.S. Pointer, to study how targeting these risk factors in combination may reduce risk for cognitive decline in older adults.

The work was supported by a Foundation Scheme award from the Canadian Institutes of Health Research. Dr. Morys received a postdoctoral fellowship from Fonds de Recherche du Quebec – Santé. Data collection and sharing were funded by the Alzheimer’s Disease Neuroimaging Initiative, the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering, and multiple pharmaceutical companies and other private sector organizations. Dr. Morys and Dr. Sexton reported no relevant financial relationships.

A version of this article first appeared on Medscape.com.

Brain atrophy patterns are similar in individuals with obesity and those with Alzheimer’s disease (AD), a new study shows.

Comparisons of MRI scans for more than 1,000 participants indicate correlations between the two conditions, especially in areas of gray matter thinning, suggesting that managing excess weight might slow cognitive decline and lower the risk for AD, according to the researchers.

However, brain maps of obesity did not correlate with maps of amyloid or tau protein accumulation.

“The fact that obesity-related brain atrophy did not correlate with the distribution of amyloid and tau proteins in AD was not what we expected,” study author Filip Morys, PhD, a postdoctoral researcher at McGill University, Montreal, said in an interview. “But it might just show that the specific mechanisms underpinning obesity- and Alzheimer’s disease–related neurodegeneration are different. This remains to be confirmed.”

The study was published in the Journal of Alzheimer’s Disease.
 

Cortical Thinning

The current study was prompted by the team’s earlier study, which showed that obesity-related neurodegeneration patterns were visually similar to those of AD, said Dr. Morys. “It was known previously that obesity is a risk factor for AD, but we wanted to directly compare brain atrophy patterns in both, which is what we did in this new study.”

The researchers analyzed data from a pooled sample of more than 1,300 participants. From the ADNI database, the researchers selected participants with AD and age- and sex-matched cognitively healthy controls. From the UK Biobank, the researchers drew a sample of lean, overweight, and obese participants without neurologic disease.

To determine how the weight status of patients with AD affects the correspondence between AD and obesity maps, they categorized participants with AD and healthy controls from the ADNI database into lean, overweight, and obese subgroups.

Then, to investigate mechanisms that might drive the similarities between obesity-related brain atrophy and AD-related amyloid-beta accumulation, they looked for overlapping areas in PET brain maps between patients with these outcomes.

The investigations showed that obesity maps were highly correlated with AD maps, but not with amyloid-beta or tau protein maps. The researchers also found significant correlations between obesity and the lean individuals with AD.

Brain regions with the highest similarities between obesity and AD were located mainly in the left temporal and bilateral prefrontal cortices.

“Our research confirms that obesity-related gray matter atrophy resembles that of AD,” the authors concluded. “Excess weight management could lead to improved health outcomes, slow down cognitive decline in aging, and lower the risk for AD.”

Upcoming research “will focus on investigating how weight loss can affect the risk for AD, other dementias, and cognitive decline in general,” said Dr. Morys. “At this point, our study suggests that obesity prevention, weight loss, but also decreasing other metabolic risk factors related to obesity, such as type-2 diabetes or hypertension, might reduce the risk for AD and have beneficial effects on cognition.”
 

Lifestyle habits

Commenting on the findings, Claire Sexton, DPhil, vice president of scientific programs and outreach at the Alzheimer’s Association, cautioned that a single cross-sectional study isn’t conclusive. “Previous studies have illustrated that the relationship between obesity and dementia is complex. Growing evidence indicates that people can reduce their risk of cognitive decline by adopting key lifestyle habits, like regular exercise, a heart-healthy diet and staying socially and cognitively engaged.”

The Alzheimer’s Association is leading a 2-year clinical trial, U.S. Pointer, to study how targeting these risk factors in combination may reduce risk for cognitive decline in older adults.

The work was supported by a Foundation Scheme award from the Canadian Institutes of Health Research. Dr. Morys received a postdoctoral fellowship from Fonds de Recherche du Quebec – Santé. Data collection and sharing were funded by the Alzheimer’s Disease Neuroimaging Initiative, the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering, and multiple pharmaceutical companies and other private sector organizations. Dr. Morys and Dr. Sexton reported no relevant financial relationships.

A version of this article first appeared on Medscape.com.

Brain atrophy patterns are similar in individuals with obesity and those with Alzheimer’s disease (AD), a new study shows.

Comparisons of MRI scans for more than 1,000 participants indicate correlations between the two conditions, especially in areas of gray matter thinning, suggesting that managing excess weight might slow cognitive decline and lower the risk for AD, according to the researchers.

However, brain maps of obesity did not correlate with maps of amyloid or tau protein accumulation.

“The fact that obesity-related brain atrophy did not correlate with the distribution of amyloid and tau proteins in AD was not what we expected,” study author Filip Morys, PhD, a postdoctoral researcher at McGill University, Montreal, said in an interview. “But it might just show that the specific mechanisms underpinning obesity- and Alzheimer’s disease–related neurodegeneration are different. This remains to be confirmed.”

The study was published in the Journal of Alzheimer’s Disease.
 

Cortical Thinning

The current study was prompted by the team’s earlier study, which showed that obesity-related neurodegeneration patterns were visually similar to those of AD, said Dr. Morys. “It was known previously that obesity is a risk factor for AD, but we wanted to directly compare brain atrophy patterns in both, which is what we did in this new study.”

The researchers analyzed data from a pooled sample of more than 1,300 participants. From the ADNI database, the researchers selected participants with AD and age- and sex-matched cognitively healthy controls. From the UK Biobank, the researchers drew a sample of lean, overweight, and obese participants without neurologic disease.

To determine how the weight status of patients with AD affects the correspondence between AD and obesity maps, they categorized participants with AD and healthy controls from the ADNI database into lean, overweight, and obese subgroups.

Then, to investigate mechanisms that might drive the similarities between obesity-related brain atrophy and AD-related amyloid-beta accumulation, they looked for overlapping areas in PET brain maps between patients with these outcomes.

The investigations showed that obesity maps were highly correlated with AD maps, but not with amyloid-beta or tau protein maps. The researchers also found significant correlations between obesity and the lean individuals with AD.

Brain regions with the highest similarities between obesity and AD were located mainly in the left temporal and bilateral prefrontal cortices.

“Our research confirms that obesity-related gray matter atrophy resembles that of AD,” the authors concluded. “Excess weight management could lead to improved health outcomes, slow down cognitive decline in aging, and lower the risk for AD.”

Upcoming research “will focus on investigating how weight loss can affect the risk for AD, other dementias, and cognitive decline in general,” said Dr. Morys. “At this point, our study suggests that obesity prevention, weight loss, but also decreasing other metabolic risk factors related to obesity, such as type-2 diabetes or hypertension, might reduce the risk for AD and have beneficial effects on cognition.”
 

Lifestyle habits

Commenting on the findings, Claire Sexton, DPhil, vice president of scientific programs and outreach at the Alzheimer’s Association, cautioned that a single cross-sectional study isn’t conclusive. “Previous studies have illustrated that the relationship between obesity and dementia is complex. Growing evidence indicates that people can reduce their risk of cognitive decline by adopting key lifestyle habits, like regular exercise, a heart-healthy diet and staying socially and cognitively engaged.”

The Alzheimer’s Association is leading a 2-year clinical trial, U.S. Pointer, to study how targeting these risk factors in combination may reduce risk for cognitive decline in older adults.

The work was supported by a Foundation Scheme award from the Canadian Institutes of Health Research. Dr. Morys received a postdoctoral fellowship from Fonds de Recherche du Quebec – Santé. Data collection and sharing were funded by the Alzheimer’s Disease Neuroimaging Initiative, the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering, and multiple pharmaceutical companies and other private sector organizations. Dr. Morys and Dr. Sexton reported no relevant financial relationships.

A version of this article first appeared on Medscape.com.

A network of neural connections is linked to six psychiatric disorders: schizophrenia, bipolar disorder (BD), depression, addiction, obsessive-compulsive disorder (OCD), and anxiety, new research shows.

Investigators used coordinate and lesion network mapping to assess whether there was a shared brain network common to multiple psychiatric disorders. In a meta-analysis of almost 200 studies encompassing more than 15,000 individuals, they found that atrophy coordinates across these six psychiatric conditions all mapped to a common brain network.

Moreover, lesion damage to this network in patients with penetrating head trauma correlated with the number of psychiatric illnesses that the patients were diagnosed with post trauma.

The findings have “bigger-picture potential implications,” lead author Joseph Taylor, MD, PhD, medical director of transcranial magnetic stimulation at Brigham and Women’s Hospital’s Center for Brain Circuit Therapeutics, Boston, told this news organization.

“In psychiatry, we talk about symptoms and define our disorders based on symptom checklists, which are fairly reliable but don’t have neurobiological underpinnings,” said Dr. Taylor, who is also an associate psychiatrist in Brigham’s department of psychiatry.

By contrast, “in neurology, we ask: ‘Where is the lesion?’ Studying brain networks could potentially help us diagnose and treat people with psychiatric illness more effectively, just as we treat neurological disorders,” he added.

The findings were published online in Nature Human Behavior.
 

Beyond symptom checklists

Dr. Taylor noted that, in the field of psychiatry, “we often study disorders in isolation,” such as generalized anxiety disorder and major depressive disorder.

“But what see clinically is that half of patients meet the criteria for more than one psychiatric disorder,” he said. “It can be difficult to diagnose and treat these patients, and there are worse treatment outcomes.”

There is also a “discrepancy” between how these disorders are studied (one at a time) and how patients are treated in clinic, Dr. Taylor noted. And there is increasing evidence that psychiatric disorders may share a common neurobiology.

This “highlights the possibility of potentially developing transdiagnostic treatments based on common neurobiology, not just symptom checklists,” Dr. Taylor said.

Prior work “has attempted to map abnormalities to common brain regions rather than to a common brain network,” the investigators wrote. Moreover, “prior studies have rarely tested specificity by comparing psychiatric disorders to other brain disorders.”

In the current study, the researchers used “morphometric brain lesion datasets coupled with a wiring diagram of the human brain to derive a convergent brain network for psychiatric illness.”

They analyzed four large published datasets. Dataset 1 was sourced from an activation likelihood estimation meta-analysis (ALE) of whole-brain voxel-based studies that compared patients with psychiatric disorders such as schizophrenia, BD, depression, addiction, OCD, and anxiety to healthy controls (n = 193 studies; 15,892 individuals in total).

Dataset 2 was drawn from published neuroimaging studies involving patients with Alzheimer’s disease (AD) and other neurodegenerative conditions (n = 72 studies). They reported coordinates regarding which patients with these disorders had more atrophy compared with control persons.

Dataset 3 was sourced from the Vietnam Head Injury study, which followed veterans with and those without penetrating head injuries (n = 194 veterans with injuries). Dataset 4 was sourced from published neurosurgical ablation coordinates for depression.
 

Shared neurobiology

Upon analyzing dataset 1, the researchers found decreased gray matter in the bilateral anterior insula, dorsal anterior cingulate cortex, dorsomedial prefrontal cortex, thalamus, amygdala, hippocampus, and parietal operculum – findings that are “consistent with prior work.”

However, fewer than 35% of the studies contributed to any single cluster; and no cluster was specific to psychiatric versus neurodegenerative coordinates (drawn from dataset 2).

On the other hand, coordinate network mapping yielded “more statistically robust” (P < .001) results, which were found in 85% of the studies. “Psychiatric atrophy coordinates were functionally connected to the same network of brain regions,” the researchers reported.

This network was defined by two types of connectivity, positive and negative.

“The topography of this transdiagnostic network was independent of the statistical threshold and specific to psychiatric (vs. neurodegenerative) disorders, with the strongest peak occurring in the posterior parietal cortex (Brodmann Area 7) near the intraparietal sulcus,” the investigators wrote.

When lesions from dataset 3 were overlaid onto the ALE map and the transdiagnostic network in order to evaluate whether damage to either map correlated with number of post-lesion psychiatric diagnosis, results showed no evidence of a correlation between psychiatric comorbidity and damage on the ALE map (Pearson r, 0.02; P = .766).

However, when the same approach was applied to the transdiagnostic network, a statistically significant correlation was found between psychiatric comorbidity and lesion damage (Pearson r, –0.21; P = .01). A multiple regression model showed that the transdiagnostic, but not the ALE, network “independently predicted the number of post-lesion psychiatric diagnoses” (P = .003 vs. P = .1), the investigators reported.

All four neurosurgical ablative targets for psychiatric disorders found on analysis of dataset 4 “intersected” and aligned with the transdiagnostic network.

“The study does not immediately impact clinical practice, but it would be helpful for practicing clinicians to know that psychiatric disorders commonly co-occur and might share common neurobiology and a convergent brain network,” Dr. Taylor said.

“Future work based on our findings could potentially influence clinical trials and clinical practice, especially in the area of brain stimulation,” he added.
 

‘Exciting new targets’

In a comment, Desmond Oathes, PhD, associate director, Center for Neuromodulation and Stress, University of Pennsylvania, Philadelphia, said the “next step in the science is to combine individual brain imaging, aka, ‘individualized connectomes,’ with these promising group maps to determine something meaningful at the individual patient level.”

Dr. Oathes, who is also a faculty clinician at the Center for the Treatment and Study of Anxiety and was not involved with the study, noted that an open question is whether the brain volume abnormalities/atrophy “can be changed with treatment and in what direction.”

A “strong take-home message from this paper is that brain volume measures from single coordinates are noisy as measures of psychiatric abnormality, whereas network effects seem to be especially sensitive for capturing these effects,” Dr. Oathes said.

The “abnormal networks across these disorders do not fit easily into well-known networks from healthy participants. However, they map well onto other databases relevant to psychiatric disorders and offer exciting new potential targets for prospective treatment studies,” he added.

The investigators received no specific funding for this work. Dr. Taylor reported no relevant financial relationships. Dr. Oathes reported no relevant financial relationships.

A version of this article first appeared on Medscape.com.

A network of neural connections is linked to six psychiatric disorders: schizophrenia, bipolar disorder (BD), depression, addiction, obsessive-compulsive disorder (OCD), and anxiety, new research shows.

Investigators used coordinate and lesion network mapping to assess whether there was a shared brain network common to multiple psychiatric disorders. In a meta-analysis of almost 200 studies encompassing more than 15,000 individuals, they found that atrophy coordinates across these six psychiatric conditions all mapped to a common brain network.

Moreover, lesion damage to this network in patients with penetrating head trauma correlated with the number of psychiatric illnesses that the patients were diagnosed with post trauma.

The findings have “bigger-picture potential implications,” lead author Joseph Taylor, MD, PhD, medical director of transcranial magnetic stimulation at Brigham and Women’s Hospital’s Center for Brain Circuit Therapeutics, Boston, told this news organization.

“In psychiatry, we talk about symptoms and define our disorders based on symptom checklists, which are fairly reliable but don’t have neurobiological underpinnings,” said Dr. Taylor, who is also an associate psychiatrist in Brigham’s department of psychiatry.

By contrast, “in neurology, we ask: ‘Where is the lesion?’ Studying brain networks could potentially help us diagnose and treat people with psychiatric illness more effectively, just as we treat neurological disorders,” he added.

The findings were published online in Nature Human Behavior.
 

Beyond symptom checklists

Dr. Taylor noted that, in the field of psychiatry, “we often study disorders in isolation,” such as generalized anxiety disorder and major depressive disorder.

“But what see clinically is that half of patients meet the criteria for more than one psychiatric disorder,” he said. “It can be difficult to diagnose and treat these patients, and there are worse treatment outcomes.”

There is also a “discrepancy” between how these disorders are studied (one at a time) and how patients are treated in clinic, Dr. Taylor noted. And there is increasing evidence that psychiatric disorders may share a common neurobiology.

This “highlights the possibility of potentially developing transdiagnostic treatments based on common neurobiology, not just symptom checklists,” Dr. Taylor said.

Prior work “has attempted to map abnormalities to common brain regions rather than to a common brain network,” the investigators wrote. Moreover, “prior studies have rarely tested specificity by comparing psychiatric disorders to other brain disorders.”

In the current study, the researchers used “morphometric brain lesion datasets coupled with a wiring diagram of the human brain to derive a convergent brain network for psychiatric illness.”

They analyzed four large published datasets. Dataset 1 was sourced from an activation likelihood estimation meta-analysis (ALE) of whole-brain voxel-based studies that compared patients with psychiatric disorders such as schizophrenia, BD, depression, addiction, OCD, and anxiety to healthy controls (n = 193 studies; 15,892 individuals in total).

Dataset 2 was drawn from published neuroimaging studies involving patients with Alzheimer’s disease (AD) and other neurodegenerative conditions (n = 72 studies). They reported coordinates regarding which patients with these disorders had more atrophy compared with control persons.

Dataset 3 was sourced from the Vietnam Head Injury study, which followed veterans with and those without penetrating head injuries (n = 194 veterans with injuries). Dataset 4 was sourced from published neurosurgical ablation coordinates for depression.
 

Shared neurobiology

Upon analyzing dataset 1, the researchers found decreased gray matter in the bilateral anterior insula, dorsal anterior cingulate cortex, dorsomedial prefrontal cortex, thalamus, amygdala, hippocampus, and parietal operculum – findings that are “consistent with prior work.”

However, fewer than 35% of the studies contributed to any single cluster; and no cluster was specific to psychiatric versus neurodegenerative coordinates (drawn from dataset 2).

On the other hand, coordinate network mapping yielded “more statistically robust” (P < .001) results, which were found in 85% of the studies. “Psychiatric atrophy coordinates were functionally connected to the same network of brain regions,” the researchers reported.

This network was defined by two types of connectivity, positive and negative.

“The topography of this transdiagnostic network was independent of the statistical threshold and specific to psychiatric (vs. neurodegenerative) disorders, with the strongest peak occurring in the posterior parietal cortex (Brodmann Area 7) near the intraparietal sulcus,” the investigators wrote.

When lesions from dataset 3 were overlaid onto the ALE map and the transdiagnostic network in order to evaluate whether damage to either map correlated with number of post-lesion psychiatric diagnosis, results showed no evidence of a correlation between psychiatric comorbidity and damage on the ALE map (Pearson r, 0.02; P = .766).

However, when the same approach was applied to the transdiagnostic network, a statistically significant correlation was found between psychiatric comorbidity and lesion damage (Pearson r, –0.21; P = .01). A multiple regression model showed that the transdiagnostic, but not the ALE, network “independently predicted the number of post-lesion psychiatric diagnoses” (P = .003 vs. P = .1), the investigators reported.

All four neurosurgical ablative targets for psychiatric disorders found on analysis of dataset 4 “intersected” and aligned with the transdiagnostic network.

“The study does not immediately impact clinical practice, but it would be helpful for practicing clinicians to know that psychiatric disorders commonly co-occur and might share common neurobiology and a convergent brain network,” Dr. Taylor said.

“Future work based on our findings could potentially influence clinical trials and clinical practice, especially in the area of brain stimulation,” he added.
 

‘Exciting new targets’

In a comment, Desmond Oathes, PhD, associate director, Center for Neuromodulation and Stress, University of Pennsylvania, Philadelphia, said the “next step in the science is to combine individual brain imaging, aka, ‘individualized connectomes,’ with these promising group maps to determine something meaningful at the individual patient level.”

Dr. Oathes, who is also a faculty clinician at the Center for the Treatment and Study of Anxiety and was not involved with the study, noted that an open question is whether the brain volume abnormalities/atrophy “can be changed with treatment and in what direction.”

A “strong take-home message from this paper is that brain volume measures from single coordinates are noisy as measures of psychiatric abnormality, whereas network effects seem to be especially sensitive for capturing these effects,” Dr. Oathes said.

The “abnormal networks across these disorders do not fit easily into well-known networks from healthy participants. However, they map well onto other databases relevant to psychiatric disorders and offer exciting new potential targets for prospective treatment studies,” he added.

The investigators received no specific funding for this work. Dr. Taylor reported no relevant financial relationships. Dr. Oathes reported no relevant financial relationships.

A version of this article first appeared on Medscape.com.

A network of neural connections is linked to six psychiatric disorders: schizophrenia, bipolar disorder (BD), depression, addiction, obsessive-compulsive disorder (OCD), and anxiety, new research shows.

Investigators used coordinate and lesion network mapping to assess whether there was a shared brain network common to multiple psychiatric disorders. In a meta-analysis of almost 200 studies encompassing more than 15,000 individuals, they found that atrophy coordinates across these six psychiatric conditions all mapped to a common brain network.

Moreover, lesion damage to this network in patients with penetrating head trauma correlated with the number of psychiatric illnesses that the patients were diagnosed with post trauma.

The findings have “bigger-picture potential implications,” lead author Joseph Taylor, MD, PhD, medical director of transcranial magnetic stimulation at Brigham and Women’s Hospital’s Center for Brain Circuit Therapeutics, Boston, told this news organization.

“In psychiatry, we talk about symptoms and define our disorders based on symptom checklists, which are fairly reliable but don’t have neurobiological underpinnings,” said Dr. Taylor, who is also an associate psychiatrist in Brigham’s department of psychiatry.

By contrast, “in neurology, we ask: ‘Where is the lesion?’ Studying brain networks could potentially help us diagnose and treat people with psychiatric illness more effectively, just as we treat neurological disorders,” he added.

The findings were published online in Nature Human Behavior.
 

Beyond symptom checklists

Dr. Taylor noted that, in the field of psychiatry, “we often study disorders in isolation,” such as generalized anxiety disorder and major depressive disorder.

“But what see clinically is that half of patients meet the criteria for more than one psychiatric disorder,” he said. “It can be difficult to diagnose and treat these patients, and there are worse treatment outcomes.”

There is also a “discrepancy” between how these disorders are studied (one at a time) and how patients are treated in clinic, Dr. Taylor noted. And there is increasing evidence that psychiatric disorders may share a common neurobiology.

This “highlights the possibility of potentially developing transdiagnostic treatments based on common neurobiology, not just symptom checklists,” Dr. Taylor said.

Prior work “has attempted to map abnormalities to common brain regions rather than to a common brain network,” the investigators wrote. Moreover, “prior studies have rarely tested specificity by comparing psychiatric disorders to other brain disorders.”

In the current study, the researchers used “morphometric brain lesion datasets coupled with a wiring diagram of the human brain to derive a convergent brain network for psychiatric illness.”

They analyzed four large published datasets. Dataset 1 was sourced from an activation likelihood estimation meta-analysis (ALE) of whole-brain voxel-based studies that compared patients with psychiatric disorders such as schizophrenia, BD, depression, addiction, OCD, and anxiety to healthy controls (n = 193 studies; 15,892 individuals in total).

Dataset 2 was drawn from published neuroimaging studies involving patients with Alzheimer’s disease (AD) and other neurodegenerative conditions (n = 72 studies). They reported coordinates regarding which patients with these disorders had more atrophy compared with control persons.

Dataset 3 was sourced from the Vietnam Head Injury study, which followed veterans with and those without penetrating head injuries (n = 194 veterans with injuries). Dataset 4 was sourced from published neurosurgical ablation coordinates for depression.
 

Shared neurobiology

Upon analyzing dataset 1, the researchers found decreased gray matter in the bilateral anterior insula, dorsal anterior cingulate cortex, dorsomedial prefrontal cortex, thalamus, amygdala, hippocampus, and parietal operculum – findings that are “consistent with prior work.”

However, fewer than 35% of the studies contributed to any single cluster; and no cluster was specific to psychiatric versus neurodegenerative coordinates (drawn from dataset 2).

On the other hand, coordinate network mapping yielded “more statistically robust” (P < .001) results, which were found in 85% of the studies. “Psychiatric atrophy coordinates were functionally connected to the same network of brain regions,” the researchers reported.

This network was defined by two types of connectivity, positive and negative.

“The topography of this transdiagnostic network was independent of the statistical threshold and specific to psychiatric (vs. neurodegenerative) disorders, with the strongest peak occurring in the posterior parietal cortex (Brodmann Area 7) near the intraparietal sulcus,” the investigators wrote.

When lesions from dataset 3 were overlaid onto the ALE map and the transdiagnostic network in order to evaluate whether damage to either map correlated with number of post-lesion psychiatric diagnosis, results showed no evidence of a correlation between psychiatric comorbidity and damage on the ALE map (Pearson r, 0.02; P = .766).

However, when the same approach was applied to the transdiagnostic network, a statistically significant correlation was found between psychiatric comorbidity and lesion damage (Pearson r, –0.21; P = .01). A multiple regression model showed that the transdiagnostic, but not the ALE, network “independently predicted the number of post-lesion psychiatric diagnoses” (P = .003 vs. P = .1), the investigators reported.

All four neurosurgical ablative targets for psychiatric disorders found on analysis of dataset 4 “intersected” and aligned with the transdiagnostic network.

“The study does not immediately impact clinical practice, but it would be helpful for practicing clinicians to know that psychiatric disorders commonly co-occur and might share common neurobiology and a convergent brain network,” Dr. Taylor said.

“Future work based on our findings could potentially influence clinical trials and clinical practice, especially in the area of brain stimulation,” he added.
 

‘Exciting new targets’

In a comment, Desmond Oathes, PhD, associate director, Center for Neuromodulation and Stress, University of Pennsylvania, Philadelphia, said the “next step in the science is to combine individual brain imaging, aka, ‘individualized connectomes,’ with these promising group maps to determine something meaningful at the individual patient level.”

Dr. Oathes, who is also a faculty clinician at the Center for the Treatment and Study of Anxiety and was not involved with the study, noted that an open question is whether the brain volume abnormalities/atrophy “can be changed with treatment and in what direction.”

A “strong take-home message from this paper is that brain volume measures from single coordinates are noisy as measures of psychiatric abnormality, whereas network effects seem to be especially sensitive for capturing these effects,” Dr. Oathes said.

The “abnormal networks across these disorders do not fit easily into well-known networks from healthy participants. However, they map well onto other databases relevant to psychiatric disorders and offer exciting new potential targets for prospective treatment studies,” he added.

The investigators received no specific funding for this work. Dr. Taylor reported no relevant financial relationships. Dr. Oathes reported no relevant financial relationships.

A version of this article first appeared on Medscape.com.

A new “smart patch” composed of microneedles that can detect proinflammatory markers via simulated skin interstitial fluid (ISF) may help diagnose neurodegenerative disorders such as Alzheimer’s disease and Parkinson’s disease very early on.

Originally developed to deliver medications and vaccines via the skin in a minimally invasive manner, the microneedle arrays were fitted with molecular sensors that, when placed on the skin, detect neuroinflammatory biomarkers such as interleukin-6 in as little as 6 minutes.

The literature suggests that these biomarkers of neurodegenerative disease are present years before patients become symptomatic, said study investigator Sanjiv Sharma, PhD.

“Neurodegenerative disorders such as Parkinson’s disease and Alzheimer’s disease are [characterized by] progressive loss in nerve cell and brain cells, which leads to memory problems and a loss of mental ability. That is why early diagnosis is key to preventing the loss of brain tissue in dementia, which can go undetected for years,” added Dr. Sharma, who is a lecturer in medical engineering at Swansea (Wales) University.

Dr. Sharma developed the patch with scientists at the Polytechnic of Porto (Portugal) School of Engineering in Portugal. In 2022, they designed, and are currently testing, a microneedle patch that will deliver the COVID vaccine.

The investigators describe their research on the patch’s ability to detect IL-6 in an article published in ACS Omega.
 

At-home diagnosis?

“The skin is the largest organ in the body – it contains more skin interstitial fluid than the total blood volume,” Dr. Sharma noted. “This fluid is an ultrafiltrate of blood and holds biomarkers that complement other biofluids, such as sweat, saliva, and urine. It can be sampled in a minimally invasive manner and used either for point-of-care testing or real-time using microneedle devices.”

Dr. Sharma and associates tested the microneedle patch in artificial ISF that contained the inflammatory cytokine IL-6. They found that the patch accurately detected IL-6 concentrations as low as 1 pg/mL in the fabricated ISF solution.

“In general, the transdermal sensor presented here showed simplicity in designing, short measuring time, high accuracy, and low detection limit. This approach seems a successful tool for the screening of inflammatory biomarkers in point of care testing wherein the skin acts as a window to the body,” the investigators reported.

Dr. Sharma noted that early detection of neurodegenerative diseases is crucial, as once symptoms appear, the disease may have already progressed significantly, and meaningful intervention is challenging.

The device has yet to be tested in humans, which is the next step, said Dr. Sharma.

“We will have to test the hypothesis through extensive preclinical and clinical studies to determine if bloodless, transdermal (skin) diagnostics can offer a cost-effective device that could allow testing in simpler settings such as a clinician’s practice or even home settings,” he noted.
 

Early days

Commenting on the research, David K. Simon, MD, PhD, professor of neurology at Harvard Medical School, Boston, said it is “a promising step regarding validation of a potentially beneficial method for rapidly and accurately measuring IL-6.”

However, he added, “many additional steps are needed to validate the method in actual human skin and to determine whether or not measuring these biomarkers in skin will be useful in studies of neurodegenerative diseases.”

He noted that one study limitation is that inflammatory cytokines such as IL-6 are highly nonspecific, and levels are elevated in various diseases associated with inflammation.

“It is highly unlikely that measuring IL-6 will be useful as a diagnostic tool. However, it does have potential as a biomarker for measuring the impact of treatments aimed at reducing inflammation. As the authors point out, it’s more likely that clinicians will require a panel of biomarkers rather than only measuring IL-6,” he said.

The study was funded by Fundação para a Ciência e Tecnologia. The investigators disclosed no relevant financial relationships.

A version of this article first appeared on Medscape.com.

A new “smart patch” composed of microneedles that can detect proinflammatory markers via simulated skin interstitial fluid (ISF) may help diagnose neurodegenerative disorders such as Alzheimer’s disease and Parkinson’s disease very early on.

Originally developed to deliver medications and vaccines via the skin in a minimally invasive manner, the microneedle arrays were fitted with molecular sensors that, when placed on the skin, detect neuroinflammatory biomarkers such as interleukin-6 in as little as 6 minutes.

The literature suggests that these biomarkers of neurodegenerative disease are present years before patients become symptomatic, said study investigator Sanjiv Sharma, PhD.

“Neurodegenerative disorders such as Parkinson’s disease and Alzheimer’s disease are [characterized by] progressive loss in nerve cell and brain cells, which leads to memory problems and a loss of mental ability. That is why early diagnosis is key to preventing the loss of brain tissue in dementia, which can go undetected for years,” added Dr. Sharma, who is a lecturer in medical engineering at Swansea (Wales) University.

Dr. Sharma developed the patch with scientists at the Polytechnic of Porto (Portugal) School of Engineering in Portugal. In 2022, they designed, and are currently testing, a microneedle patch that will deliver the COVID vaccine.

The investigators describe their research on the patch’s ability to detect IL-6 in an article published in ACS Omega.
 

At-home diagnosis?

“The skin is the largest organ in the body – it contains more skin interstitial fluid than the total blood volume,” Dr. Sharma noted. “This fluid is an ultrafiltrate of blood and holds biomarkers that complement other biofluids, such as sweat, saliva, and urine. It can be sampled in a minimally invasive manner and used either for point-of-care testing or real-time using microneedle devices.”

Dr. Sharma and associates tested the microneedle patch in artificial ISF that contained the inflammatory cytokine IL-6. They found that the patch accurately detected IL-6 concentrations as low as 1 pg/mL in the fabricated ISF solution.

“In general, the transdermal sensor presented here showed simplicity in designing, short measuring time, high accuracy, and low detection limit. This approach seems a successful tool for the screening of inflammatory biomarkers in point of care testing wherein the skin acts as a window to the body,” the investigators reported.

Dr. Sharma noted that early detection of neurodegenerative diseases is crucial, as once symptoms appear, the disease may have already progressed significantly, and meaningful intervention is challenging.

The device has yet to be tested in humans, which is the next step, said Dr. Sharma.

“We will have to test the hypothesis through extensive preclinical and clinical studies to determine if bloodless, transdermal (skin) diagnostics can offer a cost-effective device that could allow testing in simpler settings such as a clinician’s practice or even home settings,” he noted.
 

Early days

Commenting on the research, David K. Simon, MD, PhD, professor of neurology at Harvard Medical School, Boston, said it is “a promising step regarding validation of a potentially beneficial method for rapidly and accurately measuring IL-6.”

However, he added, “many additional steps are needed to validate the method in actual human skin and to determine whether or not measuring these biomarkers in skin will be useful in studies of neurodegenerative diseases.”

He noted that one study limitation is that inflammatory cytokines such as IL-6 are highly nonspecific, and levels are elevated in various diseases associated with inflammation.

“It is highly unlikely that measuring IL-6 will be useful as a diagnostic tool. However, it does have potential as a biomarker for measuring the impact of treatments aimed at reducing inflammation. As the authors point out, it’s more likely that clinicians will require a panel of biomarkers rather than only measuring IL-6,” he said.

The study was funded by Fundação para a Ciência e Tecnologia. The investigators disclosed no relevant financial relationships.

A version of this article first appeared on Medscape.com.

A new “smart patch” composed of microneedles that can detect proinflammatory markers via simulated skin interstitial fluid (ISF) may help diagnose neurodegenerative disorders such as Alzheimer’s disease and Parkinson’s disease very early on.

Originally developed to deliver medications and vaccines via the skin in a minimally invasive manner, the microneedle arrays were fitted with molecular sensors that, when placed on the skin, detect neuroinflammatory biomarkers such as interleukin-6 in as little as 6 minutes.

The literature suggests that these biomarkers of neurodegenerative disease are present years before patients become symptomatic, said study investigator Sanjiv Sharma, PhD.

“Neurodegenerative disorders such as Parkinson’s disease and Alzheimer’s disease are [characterized by] progressive loss in nerve cell and brain cells, which leads to memory problems and a loss of mental ability. That is why early diagnosis is key to preventing the loss of brain tissue in dementia, which can go undetected for years,” added Dr. Sharma, who is a lecturer in medical engineering at Swansea (Wales) University.

Dr. Sharma developed the patch with scientists at the Polytechnic of Porto (Portugal) School of Engineering in Portugal. In 2022, they designed, and are currently testing, a microneedle patch that will deliver the COVID vaccine.

The investigators describe their research on the patch’s ability to detect IL-6 in an article published in ACS Omega.
 

At-home diagnosis?

“The skin is the largest organ in the body – it contains more skin interstitial fluid than the total blood volume,” Dr. Sharma noted. “This fluid is an ultrafiltrate of blood and holds biomarkers that complement other biofluids, such as sweat, saliva, and urine. It can be sampled in a minimally invasive manner and used either for point-of-care testing or real-time using microneedle devices.”

Dr. Sharma and associates tested the microneedle patch in artificial ISF that contained the inflammatory cytokine IL-6. They found that the patch accurately detected IL-6 concentrations as low as 1 pg/mL in the fabricated ISF solution.

“In general, the transdermal sensor presented here showed simplicity in designing, short measuring time, high accuracy, and low detection limit. This approach seems a successful tool for the screening of inflammatory biomarkers in point of care testing wherein the skin acts as a window to the body,” the investigators reported.

Dr. Sharma noted that early detection of neurodegenerative diseases is crucial, as once symptoms appear, the disease may have already progressed significantly, and meaningful intervention is challenging.

The device has yet to be tested in humans, which is the next step, said Dr. Sharma.

“We will have to test the hypothesis through extensive preclinical and clinical studies to determine if bloodless, transdermal (skin) diagnostics can offer a cost-effective device that could allow testing in simpler settings such as a clinician’s practice or even home settings,” he noted.
 

Early days

Commenting on the research, David K. Simon, MD, PhD, professor of neurology at Harvard Medical School, Boston, said it is “a promising step regarding validation of a potentially beneficial method for rapidly and accurately measuring IL-6.”

However, he added, “many additional steps are needed to validate the method in actual human skin and to determine whether or not measuring these biomarkers in skin will be useful in studies of neurodegenerative diseases.”

He noted that one study limitation is that inflammatory cytokines such as IL-6 are highly nonspecific, and levels are elevated in various diseases associated with inflammation.

“It is highly unlikely that measuring IL-6 will be useful as a diagnostic tool. However, it does have potential as a biomarker for measuring the impact of treatments aimed at reducing inflammation. As the authors point out, it’s more likely that clinicians will require a panel of biomarkers rather than only measuring IL-6,” he said.

The study was funded by Fundação para a Ciência e Tecnologia. The investigators disclosed no relevant financial relationships.

A version of this article first appeared on Medscape.com.

Too little sleep or poor sleep quality during the teen years can significantly increase the risk for multiple sclerosis (MS) during adulthood, new research suggests.

In a large case-control study, individuals who slept less than 7 hours a night on average during adolescence were 40% more likely to develop MS later on. The risk was even higher for those who rated their sleep quality as bad.

On the other hand, MS was significantly less common among individuals who slept longer as teens – indicating a possible protective benefit.

While sleep duration has been associated with mortality or disease risk for other conditions, sleep quality usually has little to no effect on risk, lead investigator Torbjörn Åkerstedt, PhD, sleep researcher and professor of psychology, department of neuroscience, Karolinska Institutet, Stockholm, told this news organization.

“I hadn’t really expected that, but those results were quite strong, even stronger than sleep duration,” Dr. Åkerstedt said.

“We don’t really know why this is happening in young age, but the most suitable explanation is that the brain in still developing quite a bit, and you’re interfering with it,” he added.

The findings were published online in the Journal of Neurology, Neurosurgery and Psychiatry.
 

Strong association

Other studies have tied sleep deprivation to increased risk for serious illness, but the link between sleep and MS risk isn’t as well studied.

Previous research by Dr. Åkerstedt showed that the risk for MS was higher among individuals who took part in shift work before the age of 20. However, the impact of sleep duration or quality among teens was unknown.

The current Swedish population-based case-control study included 2,075 patients with MS and 3,164 without the disorder. All participants were asked to recall how many hours on average they slept per night between the ages of 15 and 19 years and to rate their sleep quality during that time.

Results showed that individuals who slept fewer than 7 hours a night during their teen years were 40% more likely to have MS as adults (odds ratio [OR], 1.4; 95% confidence interval [CI], 1.1-1.7).

Poor sleep quality increased MS risk even more (OR, 1.5; 95% CI, 1.3-1.9).

The association remained strong even after adjustment for additional sleep on weekends and breaks and excluding shift workers.
 

Long sleep ‘apparently good’

The researchers also conducted several sensitivity studies to rule out confounders that might bias the association, such as excluding participants who reported currently experiencing less sleep or poor sleep.

“You would expect that people who are suffering from sleep problems today would be the people who reported sleep problems during their youth,” but that didn’t happen, Dr. Åkerstedt noted.

The investigators also entered data on sleep duration and sleep quality at the same time, thinking the data would cancel each other out. However, the association remained the same.

“Quite often you see that sleep duration would eliminate the effect of sleep complaints in the prediction of disease, but here both remain significant when they are entered at the same time,” Dr. Åkerstedt said. “You get the feeling that this might mean they act together to produce results,” he added.

“One other thing that surprised me is that long sleep was apparently good,” said Dr. Åkerstedt.

The investigators have conducted several studies on sleep duration and mortality. In recent research, they found that both short sleep and long sleep predicted mortality – “and often, long sleep is a stronger predictor than short sleep,” he said.
 

Underestimated problem?

Commenting on the findings, Kathleen Zackowski, PhD, associate vice president of research for the National Multiple Sclerosis Society in Baltimore, noted that participants were asked to rate their own sleep quality during adolescence, a subjective report that may mean sleep quality has an even larger association with MS risk.

“That they found a result with sleep quality says to me that there probably is a bigger problem, because I don’t know if people over- or underestimate their sleep quality,” said Dr. Zackowski, who was not involved with the research.

“If we could get to that sleep quality question a little more objectively, I bet that we’d find there’s a lot more to the story,” she said.

That’s a story the researchers would like to explore, Dr. Åkerstedt reported. Designing a prospective study that more closely tracks sleeping habits during adolescence and follows individuals through adulthood could provide valuable information about how sleep quality and duration affect immune system development and MS risk, he said.

Dr. Zackowski said clinicians know that MS is not caused just by a genetic abnormality and that other environmental lifestyle factors seem to play a part.

“If we find out that sleep is one of those lifestyle factors, this is very changeable,” she added.

The study was funded by the Swedish Research Council, the Swedish Research Council for Health, Working Life and Welfare, the Swedish Brain Foundation, AFA Insurance, the European Aviation Safety Authority, the Tercentenary Fund of the Bank of Sweden, the Margaretha af Ugglas Foundation, the Swedish Foundation for MS Research, and NEURO Sweden. Dr. Åkerstadt has been supported by Tercentenary Fund of Bank of Sweden, AFA Insurance, and the European Aviation Safety Authority. Dr. Zackowski reports no relevant financial relationships.

A version of this article first appeared on Medscape.com.

Too little sleep or poor sleep quality during the teen years can significantly increase the risk for multiple sclerosis (MS) during adulthood, new research suggests.

In a large case-control study, individuals who slept less than 7 hours a night on average during adolescence were 40% more likely to develop MS later on. The risk was even higher for those who rated their sleep quality as bad.

On the other hand, MS was significantly less common among individuals who slept longer as teens – indicating a possible protective benefit.

While sleep duration has been associated with mortality or disease risk for other conditions, sleep quality usually has little to no effect on risk, lead investigator Torbjörn Åkerstedt, PhD, sleep researcher and professor of psychology, department of neuroscience, Karolinska Institutet, Stockholm, told this news organization.

“I hadn’t really expected that, but those results were quite strong, even stronger than sleep duration,” Dr. Åkerstedt said.

“We don’t really know why this is happening in young age, but the most suitable explanation is that the brain in still developing quite a bit, and you’re interfering with it,” he added.

The findings were published online in the Journal of Neurology, Neurosurgery and Psychiatry.
 

Strong association

Other studies have tied sleep deprivation to increased risk for serious illness, but the link between sleep and MS risk isn’t as well studied.

Previous research by Dr. Åkerstedt showed that the risk for MS was higher among individuals who took part in shift work before the age of 20. However, the impact of sleep duration or quality among teens was unknown.

The current Swedish population-based case-control study included 2,075 patients with MS and 3,164 without the disorder. All participants were asked to recall how many hours on average they slept per night between the ages of 15 and 19 years and to rate their sleep quality during that time.

Results showed that individuals who slept fewer than 7 hours a night during their teen years were 40% more likely to have MS as adults (odds ratio [OR], 1.4; 95% confidence interval [CI], 1.1-1.7).

Poor sleep quality increased MS risk even more (OR, 1.5; 95% CI, 1.3-1.9).

The association remained strong even after adjustment for additional sleep on weekends and breaks and excluding shift workers.
 

Long sleep ‘apparently good’

The researchers also conducted several sensitivity studies to rule out confounders that might bias the association, such as excluding participants who reported currently experiencing less sleep or poor sleep.

“You would expect that people who are suffering from sleep problems today would be the people who reported sleep problems during their youth,” but that didn’t happen, Dr. Åkerstedt noted.

The investigators also entered data on sleep duration and sleep quality at the same time, thinking the data would cancel each other out. However, the association remained the same.

“Quite often you see that sleep duration would eliminate the effect of sleep complaints in the prediction of disease, but here both remain significant when they are entered at the same time,” Dr. Åkerstedt said. “You get the feeling that this might mean they act together to produce results,” he added.

“One other thing that surprised me is that long sleep was apparently good,” said Dr. Åkerstedt.

The investigators have conducted several studies on sleep duration and mortality. In recent research, they found that both short sleep and long sleep predicted mortality – “and often, long sleep is a stronger predictor than short sleep,” he said.
 

Underestimated problem?

Commenting on the findings, Kathleen Zackowski, PhD, associate vice president of research for the National Multiple Sclerosis Society in Baltimore, noted that participants were asked to rate their own sleep quality during adolescence, a subjective report that may mean sleep quality has an even larger association with MS risk.

“That they found a result with sleep quality says to me that there probably is a bigger problem, because I don’t know if people over- or underestimate their sleep quality,” said Dr. Zackowski, who was not involved with the research.

“If we could get to that sleep quality question a little more objectively, I bet that we’d find there’s a lot more to the story,” she said.

That’s a story the researchers would like to explore, Dr. Åkerstedt reported. Designing a prospective study that more closely tracks sleeping habits during adolescence and follows individuals through adulthood could provide valuable information about how sleep quality and duration affect immune system development and MS risk, he said.

Dr. Zackowski said clinicians know that MS is not caused just by a genetic abnormality and that other environmental lifestyle factors seem to play a part.

“If we find out that sleep is one of those lifestyle factors, this is very changeable,” she added.

The study was funded by the Swedish Research Council, the Swedish Research Council for Health, Working Life and Welfare, the Swedish Brain Foundation, AFA Insurance, the European Aviation Safety Authority, the Tercentenary Fund of the Bank of Sweden, the Margaretha af Ugglas Foundation, the Swedish Foundation for MS Research, and NEURO Sweden. Dr. Åkerstadt has been supported by Tercentenary Fund of Bank of Sweden, AFA Insurance, and the European Aviation Safety Authority. Dr. Zackowski reports no relevant financial relationships.

A version of this article first appeared on Medscape.com.

Too little sleep or poor sleep quality during the teen years can significantly increase the risk for multiple sclerosis (MS) during adulthood, new research suggests.

In a large case-control study, individuals who slept less than 7 hours a night on average during adolescence were 40% more likely to develop MS later on. The risk was even higher for those who rated their sleep quality as bad.

On the other hand, MS was significantly less common among individuals who slept longer as teens – indicating a possible protective benefit.

While sleep duration has been associated with mortality or disease risk for other conditions, sleep quality usually has little to no effect on risk, lead investigator Torbjörn Åkerstedt, PhD, sleep researcher and professor of psychology, department of neuroscience, Karolinska Institutet, Stockholm, told this news organization.

“I hadn’t really expected that, but those results were quite strong, even stronger than sleep duration,” Dr. Åkerstedt said.

“We don’t really know why this is happening in young age, but the most suitable explanation is that the brain in still developing quite a bit, and you’re interfering with it,” he added.

The findings were published online in the Journal of Neurology, Neurosurgery and Psychiatry.
 

Strong association

Other studies have tied sleep deprivation to increased risk for serious illness, but the link between sleep and MS risk isn’t as well studied.

Previous research by Dr. Åkerstedt showed that the risk for MS was higher among individuals who took part in shift work before the age of 20. However, the impact of sleep duration or quality among teens was unknown.

The current Swedish population-based case-control study included 2,075 patients with MS and 3,164 without the disorder. All participants were asked to recall how many hours on average they slept per night between the ages of 15 and 19 years and to rate their sleep quality during that time.

Results showed that individuals who slept fewer than 7 hours a night during their teen years were 40% more likely to have MS as adults (odds ratio [OR], 1.4; 95% confidence interval [CI], 1.1-1.7).

Poor sleep quality increased MS risk even more (OR, 1.5; 95% CI, 1.3-1.9).

The association remained strong even after adjustment for additional sleep on weekends and breaks and excluding shift workers.
 

Long sleep ‘apparently good’

The researchers also conducted several sensitivity studies to rule out confounders that might bias the association, such as excluding participants who reported currently experiencing less sleep or poor sleep.

“You would expect that people who are suffering from sleep problems today would be the people who reported sleep problems during their youth,” but that didn’t happen, Dr. Åkerstedt noted.

The investigators also entered data on sleep duration and sleep quality at the same time, thinking the data would cancel each other out. However, the association remained the same.

“Quite often you see that sleep duration would eliminate the effect of sleep complaints in the prediction of disease, but here both remain significant when they are entered at the same time,” Dr. Åkerstedt said. “You get the feeling that this might mean they act together to produce results,” he added.

“One other thing that surprised me is that long sleep was apparently good,” said Dr. Åkerstedt.

The investigators have conducted several studies on sleep duration and mortality. In recent research, they found that both short sleep and long sleep predicted mortality – “and often, long sleep is a stronger predictor than short sleep,” he said.
 

Underestimated problem?

Commenting on the findings, Kathleen Zackowski, PhD, associate vice president of research for the National Multiple Sclerosis Society in Baltimore, noted that participants were asked to rate their own sleep quality during adolescence, a subjective report that may mean sleep quality has an even larger association with MS risk.

“That they found a result with sleep quality says to me that there probably is a bigger problem, because I don’t know if people over- or underestimate their sleep quality,” said Dr. Zackowski, who was not involved with the research.

“If we could get to that sleep quality question a little more objectively, I bet that we’d find there’s a lot more to the story,” she said.

That’s a story the researchers would like to explore, Dr. Åkerstedt reported. Designing a prospective study that more closely tracks sleeping habits during adolescence and follows individuals through adulthood could provide valuable information about how sleep quality and duration affect immune system development and MS risk, he said.

Dr. Zackowski said clinicians know that MS is not caused just by a genetic abnormality and that other environmental lifestyle factors seem to play a part.

“If we find out that sleep is one of those lifestyle factors, this is very changeable,” she added.

The study was funded by the Swedish Research Council, the Swedish Research Council for Health, Working Life and Welfare, the Swedish Brain Foundation, AFA Insurance, the European Aviation Safety Authority, the Tercentenary Fund of the Bank of Sweden, the Margaretha af Ugglas Foundation, the Swedish Foundation for MS Research, and NEURO Sweden. Dr. Åkerstadt has been supported by Tercentenary Fund of Bank of Sweden, AFA Insurance, and the European Aviation Safety Authority. Dr. Zackowski reports no relevant financial relationships.

A version of this article first appeared on Medscape.com.

The U.S. Surgeon General says 13 years old is too young to begin using social media.

Most social media platforms including TikTok, Snapchat, Instagram, and Facebook allow users to create accounts if they say they are at least 13 years old.

“I, personally, based on the data I’ve seen, believe that 13 is too early. ... It’s a time where it’s really important for us to be thoughtful about what’s going into how they think about their own self-worth and their relationships, and the skewed and often distorted environment of social media often does a disservice to many of those children,” U.S. Surgeon General Vivek Murthy, MD, told CNN.

Research has shown that teens are susceptible to cyberbullying and serious mental health impacts from social media usage and online activity during an era when the influence of the Internet has become everywhere for young people.

According to the Pew Research Center, 95% of teens age 13 and up have a smartphone, and 97% of teens say they use the Internet daily. Among 13- and 14-year-olds, 61% say they use TikTok and 51% say they use Snapchat. Older teens ages 15-17 use those social media platforms at higher rates, with 71% saying they use TikTok and 65% using Snapchat.

“If parents can band together and say you know, as a group, we’re not going to allow our kids to use social media until 16 or 17 or 18 or whatever age they choose, that’s a much more effective strategy in making sure your kids don’t get exposed to harm early,” Dr. Murthy said.

A version of this article originally appeared on WebMD.com.

The U.S. Surgeon General says 13 years old is too young to begin using social media.

Most social media platforms including TikTok, Snapchat, Instagram, and Facebook allow users to create accounts if they say they are at least 13 years old.

“I, personally, based on the data I’ve seen, believe that 13 is too early. ... It’s a time where it’s really important for us to be thoughtful about what’s going into how they think about their own self-worth and their relationships, and the skewed and often distorted environment of social media often does a disservice to many of those children,” U.S. Surgeon General Vivek Murthy, MD, told CNN.

Research has shown that teens are susceptible to cyberbullying and serious mental health impacts from social media usage and online activity during an era when the influence of the Internet has become everywhere for young people.

According to the Pew Research Center, 95% of teens age 13 and up have a smartphone, and 97% of teens say they use the Internet daily. Among 13- and 14-year-olds, 61% say they use TikTok and 51% say they use Snapchat. Older teens ages 15-17 use those social media platforms at higher rates, with 71% saying they use TikTok and 65% using Snapchat.

“If parents can band together and say you know, as a group, we’re not going to allow our kids to use social media until 16 or 17 or 18 or whatever age they choose, that’s a much more effective strategy in making sure your kids don’t get exposed to harm early,” Dr. Murthy said.

A version of this article originally appeared on WebMD.com.

The U.S. Surgeon General says 13 years old is too young to begin using social media.

Most social media platforms including TikTok, Snapchat, Instagram, and Facebook allow users to create accounts if they say they are at least 13 years old.

“I, personally, based on the data I’ve seen, believe that 13 is too early. ... It’s a time where it’s really important for us to be thoughtful about what’s going into how they think about their own self-worth and their relationships, and the skewed and often distorted environment of social media often does a disservice to many of those children,” U.S. Surgeon General Vivek Murthy, MD, told CNN.

Research has shown that teens are susceptible to cyberbullying and serious mental health impacts from social media usage and online activity during an era when the influence of the Internet has become everywhere for young people.

According to the Pew Research Center, 95% of teens age 13 and up have a smartphone, and 97% of teens say they use the Internet daily. Among 13- and 14-year-olds, 61% say they use TikTok and 51% say they use Snapchat. Older teens ages 15-17 use those social media platforms at higher rates, with 71% saying they use TikTok and 65% using Snapchat.

“If parents can band together and say you know, as a group, we’re not going to allow our kids to use social media until 16 or 17 or 18 or whatever age they choose, that’s a much more effective strategy in making sure your kids don’t get exposed to harm early,” Dr. Murthy said.

A version of this article originally appeared on WebMD.com.