Pilot study of the association between microbiome and the development of adverse posttraumatic neuropsychiatric sequelae after traumatic stress exposure

Author:

Zeamer Abigail L,Salive Marie-Claire,An Xinming,House Stacey L,Beaudoin Francesca L,Stevens Jennifer S,Zeng Donglin,Neylan Thomas C,Clifford Gari D,Linnstaedt Sarah D,Rauch Scott L,Storrow Alan B,Lewandowski Christopher,Musey Paul I,Hendry Phyllis L,Sheikh Sophia,Jones Christopher W,Punches Brittany E,Swor Robert A,Hudak Lauren A,Pascual Jose L,Seamon Mark J,Harris Erica,Pearson Claire,Peak David A,Merchant Roland C,Domeier Robert M,Rathlev Niels K,O’Neil Brian J,Sergot Paulina,Sanchez Leon D,Bruce Steven E,Kessler Ronald C,Koenen Karestan C,McLean Samuel A,Bucci VanniORCID,Haran John PORCID

Abstract

AbstractBackgroundPatients exposed to trauma often experience high rates of adverse post-traumatic neuropsychiatric sequelae (APNS). The biologic mechanisms promoting APNS are currently unknown, but the microbiota-gut-brain axis offers an avenue to understanding mechanisms as well as possibilities for intervention. Microbiome composition at the time of trauma exposure has been poorly examined regarding neuropsychiatric outcomes. We aimed to determine whether baseline the gut microbiomes of trauma-exposed emergency department patients who later develop APNS have dysfunctional gut microbiome profiles and discover potential associated mechanisms.MethodsWe performed metagenomic analysis on stool samples (n=51) from a subset of adults enrolled in the Advancing Understanding of RecOvery afteR traumA (AURORA) study. Twelve-week post-trauma outcomes for post-traumatic stress disorder (PTSD) (PTSD checklist for DSM-5), normalized depression scores (PROMIS Depression Short Form 8b) and somatic symptom counts were collected. Generalized linear models were created for each outcome using microbial abundances and relevant demographics. Mixed-effect random forest machine learning models were used to identify associations between APNS outcomes and microbial features and metabolic pathways.ResultsMicrobial species, includingFlavonifactor plauttiandRuminococcus gnavus,which are associated with inflammation and poor health outcomes, were found to be important in predicting worse APNS outcomes. Notably, worse APNS outcomes were highly predicted by decreased L-arginine related pathway genes and increased citrulline and ornithine pathways.ConclusionsPro-inflammatory microbes that are enriched in individuals who develop APNS. More notably, we identified a biological mechanism through which the gut microbiome reduces global arginine bioavailability, which also has been demonstrated in patients with PTSD.

Publisher

Cold Spring Harbor Laboratory

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3