Building on previously published work using machine learning, led by Dr. Francis J. Doyle III, dean of Harvard University's School of Engineering and Applied Sciences and computational lead of the PTSD Systems Biology Consortium, findings were expanded and validated with two additional veteran cohorts and an active-duty cohort.
‘PTSD biotypes can refine the development of screening tools and may explain the varying efficacy of PTSD treatments. ’
PTSD diagnosis has long been complicated by a reliance on self-reporting of patient symptoms, particularly the underreporting of signs of distress due to perceived stigma. "These findings help overcome that gap, using data that link objective molecular and physiological measures with PTSD biotypes as a screening tool for early indicators of distress and to avert full, chronic PTSD," explained Dr. Charles Marmar, chair of New York University Langone Health's Department of Psychiatry and clinical lead of the PTSD Systems Biology Consortium.
Additionally, one PTSD medication is currently FDA-approved for use in military personnel and is thought to be approximately 50% effective; clinical trials for other medications are further limited in efficacy.
"These data set the stage for physicians to link treatments to specific biotypes, providing a blueprint for targeted therapeutics and better patient outcomes," said Dr. Kerry Ressler, consortium member and chief scientific officer of McLean Hospital.
Researchers with the PTSD Systems Biology Consortium, a network of government and academic laboratories, plan to continue their research to further identify and validate PTSD biotypes to develop better screening tools, including a test to biotype military personnel with probable PTSD symptoms in field settings away from clinicians. Additionally, future studies are planned to incorporate biotyping into clinical trials for PTSD therapeutics currently in development.
Source: Eurekalert