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Zeamer AL, Salive MC, An X, Beaudoin FL, House SL, Stevens JS, Zeng D, Neylan TC, Clifford GD, Linnstaedt SD, Rauch SL, Storrow AB, Lewandowski C, Musey PI, Hendry PL, Sheikh S, Jones CW, Punches BE, Swor RA, Hudak LA, Pascual JL, Seamon MJ, Harris E, Pearson C, Peak DA, Merchant RC, Domeier RM, Rathlev NK, O'Neil BJ, Sergot P, Sanchez LD, Bruce SE, Kessler RC, Koenen KC, McLean SA, Bucci V, Haran JP. Association between microbiome and the development of adverse posttraumatic neuropsychiatric sequelae after traumatic stress exposure. Transl Psychiatry 2023; 13:354. [PMID: 37980332 PMCID: PMC10657470 DOI: 10.1038/s41398-023-02643-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 10/20/2023] [Accepted: 10/30/2023] [Indexed: 11/20/2023] Open
Abstract
Patients exposed to trauma often experience high rates of adverse post-traumatic neuropsychiatric sequelae (APNS). The biological 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 after trauma exposure has been poorly examined regarding neuropsychiatric outcomes. We aimed to determine whether the gut microbiomes of trauma-exposed emergency department patients who develop APNS have dysfunctional gut microbiome profiles and discover potential associated mechanisms. We performed metagenomic analysis on stool samples (n = 51) from a subset of adults enrolled in the Advancing Understanding of RecOvery afteR traumA (AURORA) study. Two-, eight- and 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 encoded metabolic pathways from stool metagenomics. Microbial species, including Flavonifractor plautii, Ruminococcus gnavus and, Bifidobacterium species, which are prevalent commensal gut microbes, were found to be important in predicting worse APNS outcomes from microbial abundance data. Notably, through APNS outcome modeling using microbial metabolic pathways, worse APNS outcomes were highly predicted by decreased L-arginine related pathway genes and increased citrulline and ornithine pathways. Common commensal microbial species are enriched in individuals who develop APNS. More notably, we identified a biological mechanism through which the gut microbiome reduces global arginine bioavailability, a metabolic change that has also been demonstrated in the plasma of patients with PTSD.
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Affiliation(s)
- Abigail L Zeamer
- Department of Microbiology and Physiologic Systems, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Marie-Claire Salive
- Department of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Xinming An
- Institute for Trauma Recovery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Francesca L Beaudoin
- Department of Epidemiology, Brown University, Providence, RI, USA
- Department of Emergency Medicine, Brown University, Providence, RI, USA
| | - Stacey L House
- Department of Emergency Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Jennifer S Stevens
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Donglin Zeng
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Thomas C Neylan
- Departments of Psychiatry and Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Gari D Clifford
- Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, GA, USA
- Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA
| | - Sarah D Linnstaedt
- Institute for Trauma Recovery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- The Many Brains Project, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Scott L Rauch
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, McLean Hospital, Belmont, MA, USA
| | - Alan B Storrow
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Paul I Musey
- Department of Emergency Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Phyllis L Hendry
- Department of Emergency Medicine, University of Florida College of Medicine-Jacksonville, Jacksonville, FL, USA
| | - Sophia Sheikh
- Department of Emergency Medicine, University of Florida College of Medicine-Jacksonville, Jacksonville, FL, USA
| | - Christopher W Jones
- Department of Emergency Medicine, Cooper Medical School of Rowan University, Camden, NJ, USA
| | - Brittany E Punches
- Department of Emergency Medicine, Ohio State University College of Medicine, Columbus, OH, USA
- Ohio State University College of Nursing, Columbus, OH, USA
| | - Robert A Swor
- Department of Emergency Medicine, Oakland University William Beaumont School of Medicine, Rochester, MI, USA
| | - Lauren A Hudak
- Department of Emergency Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Jose L Pascual
- Department of Surgery, University of Pennsylvania, Philadelphia, PA, USA
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Mark J Seamon
- Department of Surgery, University of Pennsylvania, Philadelphia, PA, USA
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Erica Harris
- Department of Emergency Medicine, Einstein Medical Center, Philadelphia, PA, USA
| | - Claire Pearson
- Department of Emergency Medicine, Wayne State University, Ascension St. John Hospital, Detroit, MI, USA
| | - David A Peak
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Roland C Merchant
- Department of Emergency Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Robert M Domeier
- Department of Emergency Medicine, Trinity Health-Ann Arbor, Ypsilanti, MI, USA
| | - Niels K Rathlev
- Department of Emergency Medicine, University of Massachusetts Medical School-Baystate, Springfield, MA, USA
| | - Brian J O'Neil
- Department of Emergency Medicine, Wayne State University, Detroit Receiving Hospital, Detroit, MI, USA
| | - Paulina Sergot
- Department of Emergency Medicine, McGovern Medical School at UTHealth, Houston, TX, USA
| | - Leon D Sanchez
- Department of Emergency Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Emergency Medicine, Harvard Medical School, Boston, MA, USA
| | - Steven E Bruce
- Department of Psychological Sciences, University of Missouri - St. Louis, St. Louis, MO, USA
| | - Ronald C Kessler
- Department of Health Care Policy, Harvard Medical School, Boston, MA, USA
| | | | - Samuel A McLean
- Department of Emergency Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Vanni Bucci
- Department of Microbiology and Physiologic Systems, University of Massachusetts Chan Medical School, Worcester, MA, USA.
- Program in Microbiome Dynamics, University of Massachusetts Chan Medical School, Worcester, MA, USA.
| | - John P Haran
- Department of Microbiology and Physiologic Systems, University of Massachusetts Chan Medical School, Worcester, MA, USA.
- Department of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.
- Program in Microbiome Dynamics, University of Massachusetts Chan Medical School, Worcester, MA, USA.
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Bradley ES, Zeamer AL, Bucci V, Cincotta L, Salive MC, Dutta P, Mutaawe S, Anya O, Tocci C, Moormann A, Ward DV, McCormick BA, Haran JP. Oropharyngeal microbiome profiled at admission is predictive of the need for respiratory support among COVID-19 patients. Front Microbiol 2022; 13:1009440. [PMID: 36246273 PMCID: PMC9561819 DOI: 10.3389/fmicb.2022.1009440] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 09/12/2022] [Indexed: 11/17/2022] Open
Abstract
The oropharyngeal microbiome, the collective genomes of the community of microorganisms that colonizes the upper respiratory tract, is thought to influence the clinical course of infection by respiratory viruses, including Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), the causative agent of Coronavirus Infectious Disease 2019 (COVID-19). In this study, we examined the oropharyngeal microbiome of suspected COVID-19 patients presenting to the Emergency Department and an inpatient COVID-19 unit with symptoms of acute COVID-19. Of 115 initially enrolled patients, 50 had positive molecular testing for COVID-19+ and had symptom duration of 14 days or less. These patients were analyzed further as progression of disease could most likely be attributed to acute COVID-19 and less likely a secondary process. Of these, 38 (76%) went on to require some form of supplemental oxygen support. To identify functional patterns associated with respiratory illness requiring respiratory support, we applied an interpretable random forest classification machine learning pipeline to shotgun metagenomic sequencing data and select clinical covariates. When combined with clinical factors, both species and metabolic pathways abundance-based models were found to be highly predictive of the need for respiratory support (F1-score 0.857 for microbes and 0.821 for functional pathways). To determine biologically meaningful and highly predictive signals in the microbiome, we applied the Stable and Interpretable RUle Set to the output of the models. This analysis revealed that low abundance of two commensal organisms, Prevotella salivae or Veillonella infantium (< 4.2 and 1.7% respectively), and a low abundance of a pathway associated with LPS biosynthesis (< 0.1%) were highly predictive of developing the need for acute respiratory support (82 and 91.4% respectively). These findings suggest that the composition of the oropharyngeal microbiome in COVID-19 patients may play a role in determining who will suffer from severe disease manifestations.
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Affiliation(s)
- Evan S. Bradley
- Department of Emergency Medicine, UMass Memorial Medical Center, Worcester, MA, United States
- Program in Microbiome Dynamics, University of Massachusetts Medical School, Worcester, MA, United States
- *Correspondence: Evan S. Bradley,
| | - Abigail L. Zeamer
- Program in Microbiome Dynamics, University of Massachusetts Medical School, Worcester, MA, United States
- Department of Microbiology and Physiologic Systems, University of Massachusetts Medical School, Worcester, MA, United States
| | - Vanni Bucci
- Program in Microbiome Dynamics, University of Massachusetts Medical School, Worcester, MA, United States
- Department of Microbiology and Physiologic Systems, University of Massachusetts Medical School, Worcester, MA, United States
| | - Lindsey Cincotta
- Department of Emergency Medicine, UMass Memorial Medical Center, Worcester, MA, United States
| | - Marie-Claire Salive
- Department of Emergency Medicine, UMass Memorial Medical Center, Worcester, MA, United States
| | - Protiva Dutta
- Department of Emergency Medicine, UMass Memorial Medical Center, Worcester, MA, United States
| | - Shafik Mutaawe
- Department of Emergency Medicine, UMass Memorial Medical Center, Worcester, MA, United States
| | - Otuwe Anya
- Department of Emergency Medicine, UMass Memorial Medical Center, Worcester, MA, United States
| | - Christopher Tocci
- Department of Biology and Biotechnology, Worcester Polytechnique Institute, Worcester, MA, United States
| | - Ann Moormann
- Department of Medicine, University of Massachusetts Medical School, Worcester, MA, United States
| | - Doyle V. Ward
- Program in Microbiome Dynamics, University of Massachusetts Medical School, Worcester, MA, United States
- Department of Microbiology and Physiologic Systems, University of Massachusetts Medical School, Worcester, MA, United States
| | - Beth A. McCormick
- Program in Microbiome Dynamics, University of Massachusetts Medical School, Worcester, MA, United States
- Department of Microbiology and Physiologic Systems, University of Massachusetts Medical School, Worcester, MA, United States
| | - John P. Haran
- Department of Emergency Medicine, UMass Memorial Medical Center, Worcester, MA, United States
- Program in Microbiome Dynamics, University of Massachusetts Medical School, Worcester, MA, United States
- Department of Microbiology and Physiologic Systems, University of Massachusetts Medical School, Worcester, MA, United States
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