ReviewMolecular psychiatry2026
Mapping the reciprocal interactions between antidepressants and the gut microbiome: novel targets for the personalisation and optimization of drug response.
Review in Molecular psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Intermittent fasting protects against stress-induced depression and demyelination via the gut microbiota-brain axis.Translational psychiatry · 2026Article
- The characteristics of gut microbiota composition in patients with depression and relationship with clinical symptoms.Frontiers in psychiatry · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
Abstract
Although accumulating evidence suggests a role of the gut microbiome in the response to antidepressant medications, its mechanistic basis is largely unknown. We performed a comprehensive analysis and presented an up-to-date atlas of the relationship between antidepressants and gut microbiome. The main findings were: 1. Treatment with antidepressants increases the abundance of anti-inflammatory species (e.g., Bifidobacterium) and decreases that of pro-inflammatory species (e.g., Escherichia_coli); 2. The nature of microbiome at baseline and of its changes following the start of treatment can be used to predict the efficacy of individual antidepressants. 3. Two sets of bacterial taxa (termed "Microhancers" and "Microlencers") are candidate pre-treatment targets for optimizing the therapeutic response. Two mechanisms that appear to underlie the modulation of the antidepressant treatment response are biotransformation and bioaccumulation, and these appear to be mediated by specific bacterial strains. These findings could support the personalisation of treatment by informing the selection of the best antidepressant for each individual. In addition, they suggest that the therapeutic response to antidepressants may be optimised by manipulating the gut microbiome prior to treatment.
Indexed as
Identifiers
41258378What Socratic holds
Registered trials
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 Socratic graph.