Evidence map›Paper›PMID 30838027›Full record

ReviewFrontiers in genetics2019

Current Understanding of Gut Microbiota in Mood Disorders: An Update of Human Studies.

Ting-Ting Huang, Jian-Bo Lai, Yan-Li Du, Yi Xu, Lie-Min Ruan, Shao-Hua Hu

Abstract readReview
In one paragraph

Review in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 131 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
131citing papers in PubMed, 7 pooled it
–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

131 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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  13. Gut microbial biomarkers for major depressive disorder: a cross-sectional study.Frontiers in cellular and infection microbiology · 2026
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71 more citing papers are in PubMed but not listed here.

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

6 authors.

Ting-Ting HuangDepartment of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jian-Bo LaiDepartment of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yan-Li DuDepartment of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yi XuDepartment of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Lie-Min RuanDepartment of Mental Health, Ningbo First Hospital, Ningbo, China.
Shao-Hua HuDepartment of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gut microbiota plays an important role in the bidirectional communication between the gut and the central nervous system. Mounting evidence suggests that gut microbiota can influence the brain function via neuroimmune and neuroendocrine pathways as well as the nervous system. Advances in gene sequencing techniques further facilitate investigating the underlying relationship between gut microbiota and psychiatric disorders. In recent years, researchers have preliminarily explored the gut microbiota in patients with mood disorders. The current review aims to summarize the published human studies of gut microbiota in mood disorders. The findings showed that microbial diversity and taxonomic compositions were significantly changed compared with healthy individuals. Most of these findings revealed that short-chain fatty acids-producing bacterial genera were decreased, while pro-inflammatory genera and those involved in lipid metabolism were increased in patients with depressive episodes. Interestingly, the abundance of

Indexed as

brain-gut-microbiota axisgene sequencing techniquesgut microbiotahuman studymood disorder

Identifiers

PMID30838027
PMCPMC6389720

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Registered trials

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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.