Evidence map›Paper›PMID 38975363›Full record

ArticleGeneral psychiatry2024

Dissecting the association between gut microbiota, body mass index and specific depressive symptoms: a mediation Mendelian randomisation study.

Tong Yu, Chengfeng Chen, Yuqing Yang, Mingqia Wang, Yantianyu Yang, Wanting Feng, Shiqi Yuan, Xiancang Ma, Jie Li, Bin Zhang

Abstract read
In one paragraph

Article in General psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

10 authors.

Tong YuDepartment of Clinical Psychology, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.ORCID 0000-0002-6960-3569
Chengfeng ChenSchool of Mental Health, Guangzhou Medical University, Guangzhou, Guangdong, China.
Yuqing YangDepartment of Clinical Psychology, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Mingqia WangPeking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, China.
Yantianyu YangSchool of Mental Health, Guangzhou Medical University, Guangzhou, Guangdong, China.
Wanting FengSchool of Mental Health, Guangzhou Medical University, Guangzhou, Guangdong, China.
Shiqi YuanSchool of Mental Health, Guangzhou Medical University, Guangzhou, Guangdong, China.
Xiancang MaDepartment of Psychiatry, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Jie LiInstitute of Mental Health, Tianjin Anding Hospital, Tianjin Medical University, Tianjin, China.
Bin ZhangInstitute of Mental Health, Tianjin Anding Hospital, Tianjin Medical University, Tianjin, China.ORCID 0000-0002-9280-8247

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Observational studies highlight the association between gut microbiota (GM) composition and depression; however, evidence for the causal relationship between GM and specific depressive symptoms remains lacking. Aims: We aimed to evaluate the causal relationship between GM and specific depressive symptoms as well as the mediating role of body mass index (BMI). Methods: We performed a two-sample Mendelian randomisation (MR) analysis using genetic variants associated with GM and specific depressive symptoms from genome-wide association studies. The mediating role of BMI was subsequently explored using mediation analysis via two-step MR. Results: MR evidence suggested the Conclusions: These findings suggest a potential therapeutic effect of Actinobacteria and

Indexed as

DepressionGenome-Wide Association StudyMendelian Randomization Analysis

Identifiers

PMID38975363
PMCPMC11227829

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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.