Evidence map›Paper›PMID 41258378›Full record

ReviewMolecular psychiatry2026

Mapping the reciprocal interactions between antidepressants and the gut microbiome: novel targets for the personalisation and optimization of drug response.

Lanxiang Liu, Haiyang Wang, Amedeo Minichino, Rui Xiao, Yamei Du, Lian Wang, Dian He, Siyi Guo, Xiaolong Mo, Yajie Xiang and 6 more

Abstract readReview
PubMed Publisher
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

16 authors.

Lanxiang Liu *Department of Psychiatry, Key Laboratory of Major Brain Disease and Aging Research (Ministry of Education), The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Haiyang Wang *Department of Neurology, NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Amedeo MinichinoDepartment of Psychiatry, University of Oxford, Oxford, OX3 7JX, UK.ORCID http://orcid.org/0000-0002-6309-6324
Rui XiaoDepartment of Neurology, NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Yamei DuDepartment of Neurology, NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Lian WangDepartment of Neurology, NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Dian HeDepartment of Neurology, NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Siyi GuoDepartment of Neurology, NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Xiaolong MoDepartment of Neurology, NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Yajie XiangDepartment of Neurology, NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Jing WuDepartment of Neurology, NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Philip McGuireDepartment of Psychiatry, University of Oxford, Oxford, OX3 7JX, UK.ORCID http://orcid.org/0000-0003-4381-0532
Weihua YuePeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China. dryue@bjmu.edu.cn.ORCID http://orcid.org/0000-0002-1201-8465
Lin LuPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China. linlu@bjmu.edu.cn.ORCID http://orcid.org/0000-0003-0742-9072
Andrea CiprianiDepartment of Psychiatry, University of Oxford, Oxford, OX3 7JX, UK. andrea.cipriani@psych.ox.ac.uk.ORCID http://orcid.org/0000-0001-5179-8321
Peng XieDepartment of Neurology, NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China. xiepeng@cqmu.edu.cn.ORCID http://orcid.org/0000-0002-0081-6048

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82201683National Natural Science Foundation of China (National Science Foundation of China) 82288101National Natural Science Foundation of China (National Science Foundation of China) 82401814
6 · The paper itself

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

Antidepressive AgentsGastrointestinal MicrobiomeDepressionHumansPrecision MedicineAntidepressive Agents

Identifiers

What Socratic holds

Textmetadata
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 Socratic graph.