Evidence map›Paper›PMID 36122838›Full record

ReviewProgress in neuro-psychopharmacology & biological psychiatry2023

Differential co-expression networks of the gut microbiota are associated with depression and anxiety treatment resistance among psychiatric inpatients.

Dominique S Thompson, Chenlian Fu, Tanmay Gandhi, J Christopher Fowler, B Christopher Frueh, Benjamin L Weinstein, Joseph Petrosino, Julia K Hadden, Marianne Carlson, Cristian Coarfa and 1 more

Open access · greenAbstract readReview
In one paragraph

Review in Progress in neuro-psychopharmacology & biological psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Moving toward precision and personalized treatment strategies in psychiatry.The international journal of neuropsychopharmacology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Dominique S ThompsonDepartment of Molecular Virology and Microbiology, Alkek Center for Metagenomics and Microbiome Research, Baylor College of Medicine, Houston, TX, USA.
Chenlian FuDepartment of Biology, Harvey Mudd College, Claremont, CA, USA; Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA.
Tanmay GandhiDepartment of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA; Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX, USA.
J Christopher FowlerHouston Methodist Behavioral Health, Houston, TX, USA; Houston Methodist Academic Institute, Houston, TX, USA.
B Christopher FruehHouston Methodist Academic Institute, Houston, TX, USA; Department of Psychology, University of Hawaii, Hilo, HI, USA.
Benjamin L WeinsteinHouston Methodist Behavioral Health, Houston, TX, USA.
Joseph PetrosinoDepartment of Molecular Virology and Microbiology, Alkek Center for Metagenomics and Microbiome Research, Baylor College of Medicine, Houston, TX, USA.
Julia K HaddenHouston Methodist Behavioral Health, Houston, TX, USA.
Marianne CarlsonHouston Methodist Behavioral Health, Houston, TX, USA.
Cristian CoarfaDepartment of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA; Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX, USA. Electronic address: coarfa@bcm.edu.
Alok MadanHouston Methodist Behavioral Health, Houston, TX, USA; Houston Methodist Academic Institute, Houston, TX, USA. Electronic address: amadan@houstonmethodist.org.
Houston Methodist · USBaylor College of Medicine · US

Funding

Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Michael M Ittmann · 2007 to 2026
$73.9M
Project 5: Pyolytic conversion of PAHs in contaminated sediments into char to eliminate toxicity and enhance soil fertilityP42ES027725 · NIEHS · BAYLOR COLLEGE OF MEDICINE · PI BHAGAVATULA MOORTHY · 2020 to 2026
$17.8M
Translational Research Support CoreP30ES030285 · NIEHS · BAYLOR COLLEGE OF MEDICINE · PI Casey W Wright · 2019 to 2026
$14.7M
Initiative for Maximizing Student Development (IMSD) ProgramR25GM056929 · NIGMS · BAYLOR COLLEGE OF MEDICINE · PI PEREIRA, FRED A · 1998 to 2023
$12.4M
YEARS 19 - 23: BCM POST-BACCALAUREATE RESEARCH EDUCATION PROGRAMR25GM069234 · NIGMS · BAYLOR COLLEGE OF MEDICINE · PI PEREIRA, FRED A · 2003 to 2024
$7.5M
Project 2: Disparities-Aware Classifiers for Maternal and Infant HealthP50MD015496 · NIMHD · BAYLOR COLLEGE OF MEDICINE · PI SYMANSKI, ELAINE · 2020 to 2024
$7.2M
A Microbial Genome Reference Platform for MetagenomicsU54HG004973 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI GIBBS, RICHARD A, HIGHLANDER, SARAH KATHERINE · 2009 to 2010
$1.8M
NCI NIH HHS P30 CA125123NHGRI NIH HHS U54 HG004973NIEHS NIH HHS P30 ES030285NIEHS NIH HHS P42 ES027725NIGMS NIH HHS R25 GM056929NIGMS NIH HHS R25 GM069234NIMHD NIH HHS P50 MD015496
6 · The paper itself

Abstract

backgroundComorbid anxiety and depression are common and are associated with greater disease burden than either alone. Our recent efforts have identified an association between gut microbiota dysfunction and severity of anxiety and depression. In this follow-up, we applied Differential Co-Expression Analysis (DiffCoEx) to identify potential gut microbiota biomarker(s) candidates of treatment resistance among psychiatric inpatients.

methodsIn a sample of convenience, 100 psychiatric inpatients provided clinical data at admission and discharge; fecal samples were collected early during the hospitalization. Whole genome shotgun sequencing methods were used to process samples. DiffCoEx was used to identify clusters of microbial features significantly different based on treatment resistance status. Once overlapping features were identified, a knowledge-mining tool was used to review the literature using a list of microbial species/pathways and a select number of medical subject headlines (MeSH) terms relevant for depression, anxiety, and brain-gut-axis dysregulation. Network analysis used overlapping features to identify microbial interactions that could impact treatment resistance.

resultsDiffCoEx analyzed 10,403 bacterial features: 43/44 microbial features associated with depression treatment resistance overlapped with 43/114 microbial features associated with anxiety treatment resistance. Network analysis resulted in 8 biological interactions between 16 bacterial species. Clostridium perfringens evidenced the highest connection strength (0.95). Erysipelotrichaceae bacterium 6_1_45 has been most widely examined, is associated with inflammation and dysbiosis, but has not been associated with depression or anxiety.

conclusionDiffCoEx potentially identified gut bacteria biomarker candidates of depression and anxiety treatment-resistance. Future efforts in psychiatric microbiology should examine the mechanistic relationship of identified pro-inflammatory species, potentially contributing to a biomarker-based algorithm for treatment resistance.

Indexed as

Gastrointestinal MicrobiomeAnxietyBiomarkersDepressionHumansInpatientsBiomarkersAnxietyBiomarkersBrain-gut AxisDepressionGastrointestinal microbiomeMetagenomics

Identifiers

PMID36122838
PMCPMC10278556
OpenAlexW4297251193

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.