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Record W4416331863 · doi:10.1177/07067437251394363

The Canadian Network for Mood and Anxiety Treatments Task Force Recommendations for the Use of Probiotics, Prebiotics, Synbiotics, and Fecal Microbiota Transplants in Adults With Major Depressive Disorder: Recommandations du Groupe de travail du Réseau canadien pour le traitement des troubles de l’humeur et de l’anxiété (Canadian Network for Mood and Anxiety Treatments, CANMAT) concernant l’utilisation des probiotiques, des prébiotiques, des symbiotiques et de la transplantation de microbiote fécal chez les adultes atteints de trouble dépressif majeur

2025· article· en· W4416331863 on OpenAlexaffvenueabout
Anees Bahji, Elisa Brietzke, Noah C.A. Cooke, Fiona Clement, Benício N. Frey, Mark Hofmeister, Sidney H. Kennedy, Raymond W. Lam, Roumen Milev, Dina Moinul, Sagar V. Parikh, Scott B. Patten, Arun Ravindran, Joshua D. Rosenblat, Zainab Samaan, Ayal Schaffer, April Saleem, Serge Beaulieu, Valérie Tourjman, Michael Van Ameringen, Simone N. Vigod, Lakshmi N. Yatham, Valerie H. Taylor

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsUniversité de MontréalKingston General HospitalWomen's College HospitalMcMaster UniversityQueen's UniversityUniversity of British ColumbiaUniversity of TorontoMcGill UniversityUniversity of Calgary
Fundersnot available
KeywordsPsychological interventionMoodAnxietyRandomized controlled trialMajor depressive disorderAdverse effectSynbioticsClinical trialMEDLINE

Abstract

fetched live from OpenAlex

BackgroundApproximately one-third of adults with major depressive disorder (MDD) experience limited response or intolerable side effects with existing pharmacotherapies. As such, innovative treatments targeting novel biological pathways are under investigation. One promising area of research is the gut microbiome and its influence on mood through the microbiota-gut-brain axis. Clinical studies have begun evaluating microbiome-targeted interventions such as probiotics, prebiotics, synbiotics, and fecal microbiota transplantation (FMT) as potential treatments for MDD. The Canadian Network for Mood and Anxiety Treatments (CANMAT) convened a task force to evaluate the evidence for microbiome-targeted interventions in adults with MDD and to provide updated clinical recommendations.MethodsA systematic review of randomized controlled trials (RCTs) and meta-analyses was conducted, assessing interventions such as probiotics, prebiotics, synbiotics, and FMT in adults with MDD. The CANMAT methodology was used to determine levels of evidence and treatment line recommendations, which were presented in a question-and-answer format.ResultsTwenty-three RCTs and eight meta-analyses were included. Probiotics have been the most extensively studied and have demonstrated modest improvements in depressive symptoms, particularly when used in an adjunctive manner. However, recent high-quality trials yielded mixed results. Evidence for prebiotics and FMT was limited and inconclusive, while synbiotics were assessed in only one small RCT. Most interventions were well tolerated, with few serious adverse events.ConclusionsProbiotics may be cautiously considered as third-line adjunctive treatments for MDD, though findings remain inconsistent. There is currently insufficient evidence to recommend prebiotics, synbiotics, or FMT in clinical practice. Further large-scale, well-controlled trials are needed to clarify efficacy, safety, and optimal patient subgroups.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.053
metaresearch head score (Gemma)0.107
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.969
Threshold uncertainty score0.739

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0530.107
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0080.016
Bibliometrics0.0090.010
Science and technology studies0.0050.002
Scholarly communication0.0040.002
Open science0.0080.003
Research integrity0.0060.008
Insufficient payload (model declined to judge)0.0060.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.255
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes3
Has abstractyes

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