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Systematic Review of Gut Microbiota and Major Depression

Dados Bibliográficos

ID15520488
AutoresStephanie Cheung (0000-0002-2092-7001, Columbia University), Stephanie G Cheung, Ariel Goldenthal (Columbia University), Ariel R Goldenthal, Anne‐Catrin Uhlemann (0000-0002-9798-4768, Columbia University), Anne-Catrin Uhlemann, J John Mann (0000-0002-0265-6586, New York Psychoanalytic Society and Institute), Jeffrey M Miller (0000-0002-2206-9311, New York State Psychiatric Institute), M Elizabeth Sublette (0000-0001-7378-4262, Columbia University, autor correspondente)
Ano2019
Volume10
Páginas34-34
Data de publicação2019-02-11
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoFrontiers in Psychiatry (JOURNAL)
Identificadores do periódicoISSN: 1664-0640 • E-ISSN: 1664-0640
EditoraFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2019.00034
PMID30804820
OpenAlexW2912729292
IdiomaEN
Citações recebidas20
Referências citadas146

Background: Recently discovered relationships between the gastrointestinal microbiome and the brain have implications for psychiatric disorders, including major depressive disorder (MDD). Bacterial transplantation from MDD patients to rodents produces depression-like behaviors. In humans, case-control studies have examined the gut microbiome in healthy and affected individuals. We systematically reviewed existing studies comparing gut microbial composition in MDD and healthy volunteers. Methods: A PubMed literature search combined the terms "depression," "depressive disorder," "stool," "fecal," "gut," and "microbiome" to identify human case-control studies that investigated relationships between MDD and microbiota quantified from stool. We evaluated the resulting studies, focusing on bacterial taxa that were different between MDD and healthy controls. Results: Six eligible studies were found in which 50 taxa exhibited differences ( p Bacteroidetes, Firmicutes, Actinobacteria, Fusobacteria , and Protobacteria -were represented; however, divergent results occurred across studies for all phyla. The largest number of differentiating taxa were within phylum Firmicutes , in which nine families and 12 genera differentiated the diagnostic groups. The majority of these families and genera were found to be statistically different between the two groups in two identified studies. Family Lachnospiraceae differentiated the diagnostic groups in four studies (with an even split in directionality). Across all five phyla, nine genera were higher in MDD ( Anaerostipes, Blautia, Clostridium, Klebsiella, Lachnospiraceae incertae sedis, Parabacteroides, Parasutterella, Phascolarctobacterium , and Streptococcus ), six were lower ( Bifidobacterium, Dialister, Escherichia/Shigella, Faecalibacterium , and Ruminococcus ), and six were divergent ( Alistipes, Bacteroides, Megamonas, Oscillibacter, Prevotella , and Roseburia ). We highlight mechanisms and products of bacterial metabolism as they may relate to the etiology of depression. Conclusions: No consensus has emerged from existing human studies of depression and gut microbiome concerning which bacterial taxa are most relevant to depression. This may in part be due to differences in study design. Given that bacterial functions are conserved across taxonomic groups, we propose that studying microbial functioning may be more productive than a purely taxonomic approach to understanding the gut microbiome in depression

Bacteroides · Bacteroidetes · Bioinformatics · Biology · Firmicutes · Fusobacteria · Gut flora · Lachnospiraceae · Major depressive disorder · Microbiome · Prevotella · Ruminococcus · Diet and metabolism studies · Gastrointestinal motility and disorders · Gut microbiota and health · Genetics · Immunology

  • The Bidirectional Relationship of Depression and Inflammation

    Open Access•Eléonore Beurel, Marisa Toups et al.•Neuron•2020

  • Factors associated with oral frailty in older adults

    Open Access•Yanru Chen, Ling Zhang et al.•Frontiers in Public Health•2025

  • Gut Microbiota in Psychiatric Disorders

    Open Access•Long Long Chen, Afrouz Abbaspour et al.•Psychosomatic Medicine•2021

  • Fecal Short-Chain Fatty Acid Ratios as Related to Gastrointestinal and Depressive Symptoms in Young Adults

    Open Access•Bettina Müller, Annica J Rasmusson et al.•Psychosomatic Medicine•2021

  • Utilizing metagenomic profiling and machine learning model to identify bacterial biomarkers for major depressive disorder

    Open Access•Xuan Wang, Di Cao et al.•Frontiers in Psychiatry•2025

  • Gut Microbiome Composition Associated With Major Depressive Disorder and Sleep Quality

    Open Access•Qi Zhang, Yajun Yun et al.•Frontiers in Psychiatry•2021

  • Altered Composition of the Oral Microbiota in Depression Among Cigarette Smokers

    Open Access•Mohammad Tahseen Al Bataineh, Axel Künstner et al.•Frontiers in Psychiatry•2022

  • Altered gut microbiota profile in patients with perimenopausal panic disorder

    Open Access•Shen Lin, Lin Shen et al.•Frontiers in Psychiatry•2023

  • Meta-Analysis of the Gut Microbiome

    Open Access•KC Asmini, Anushka KC et al.•International Journal of…•2025

  • Long-Term Impact of Childhood Adversity on the Gut Microbiome of Nursing Students

    Open Access•Negin Kazemian, Tony Zhou et al.•International Journal of…•2024

  • Gut Microbiome Diversity and Abundance Correlate with Gray Matter Volume (GMV) in Older Adults with Depression

    Open Access•Sungeun Melanie Lee, Michaela M Milillo et al.•International Journal of…•2022

  • Parental Pre and Postnatal Depression

    Open Access•Loredana Lucarelli, Laura Vismara et al.•Children•2023

  • Breathomics profiling of metabolic pathways affected by major depression

    Open Access•Laila Gbaoui, Melanie Fachet et al.•Frontiers in Psychiatry•2022

  • A taxon-centered review of bacterial shifts in psychiatric disorders

    Open Access•Răzvan-Ioan Papacocea, AM Ciobanu et al.•Frontiers in Psychiatry•2026

  • Gut Microbiome

    Open Access•Zaiquan Dong, Xiaoling Shen et al.•Frontiers in Psychiatry•2021

  • A risk estimation method for depression based on the dysbiosis of intestinal microbiota in Japanese patients

    Open Access•Kana Miyashita, Kana Okuma et al.•Frontiers in Psychiatry•2024

  • Fecal Microbiota Transplantation (FMT) as an Adjunctive Therapy for Depression—Case Report

    Open Access•Jessica P K Doll, Jorge F Vázquez-Castellanos et al.•Frontiers in Psychiatry•2022

  • Altered Fecal Microbiota Signatures in Patients With Anxiety and Depression in the Gastrointestinal Cancer Screening

    Open Access•Juan Zhu, Minjuan Li et al.•Frontiers in Psychiatry•2021

  • Associations between healthy Japanese dietary patterns and depression in Japanese women

    Open Access•Kanae Konishi•Public Health Nutrition•2021

  • Xiaoyaosan against depression through suppressing LPS mediated TLR4/NLRP3 signaling pathway in “microbiota-gut-brain” axis

    Open Access•Xiaojie Liu, Huimin Liu et al.•Journal of Ethnopharmacology•2024

  • Update of the Healthy Eating Index

    Open Access•Patricia M Guenther, Kellie O Casavale et al.•Journal of the Academy of…•2013

  • Linking Long-Term Dietary Patterns with Gut Microbial Enterotypes

    Open Access•Gary D Wu, Jun Chen et al.•Science•2011

  • A Rating Scale for Depression

    M Hamilton•Journal of Neurology Neurosurgery…•1960

  • Brain Structure and Response to Emotional Stimuli as Related to Gut Microbial Profiles in Healthy Women

    Kirsten Tillisch, Emeran A Mayer et al.•Psychosomatic Medicine•2017

  • Serum Folate, Vitamin B-12, and Homocysteine and Their Association With Depressive Symptoms Among U.S. Adults

    May A Beydoun, Monal R Shroff et al.•Psychosomatic Medicine•2010

  • Is low folate a risk factor for depression? A meta-analysis and exploration of heterogeneity

    Simon Gilbody, Tracy Lightfoot et al.•Journal of Epidemiology and…•2007

Obras citantes distintas20
Citações por ano3,33
Intervalo de citações2020 - 2026 (7)
Velocidade de citaçãocurrent
Altamente citadoNão
Tipos de citaçãoNeutras: 20
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