Evidence map›Paper›PMID 35076893›Full record

ArticleBrain imaging and behavior2022

Assessing the joint effects of brain aging and gut microbiota on the risks of psychiatric disorders.

Huijie Zhang, Li Liu, Shiqiang Cheng, Yumeng Jia, Yan Wen, Xuena Yang, Peilin Meng, Chun'e Li, Chuyu Pan, Yujing Chen and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Brain imaging and behavior, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 28% of its field
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, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. The Impact ofCurrent neuropharmacology · 2025
    Pooled it
  3. Trial
  4. Review
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  6. Review
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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

13 authors at 1 institution in 1 country.

Huijie Zhang *Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, Xi'an, People's Republic of China.
Li Liu *Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, Xi'an, People's Republic of China.
Shiqiang ChengKey Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, Xi'an, People's Republic of China.
Yumeng JiaKey Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, Xi'an, People's Republic of China.
Yan WenKey Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, Xi'an, People's Republic of China.
Xuena YangKey Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, Xi'an, People's Republic of China.
Peilin MengKey Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, Xi'an, People's Republic of China.
Chun'e LiKey Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, Xi'an, People's Republic of China.
Chuyu PanKey Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, Xi'an, People's Republic of China.
Yujing ChenKey Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, Xi'an, People's Republic of China.
Zhen ZhangKey Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, Xi'an, People's Republic of China.
Jingxi ZhangKey Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, Xi'an, People's Republic of China.
Feng ZhangKey Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, 710061, Xi'an, People's Republic of China. fzhxjtu@mail.xjtu.edu.cn.ORCID http://orcid.org/0000-0003-1339-5956
National Health and Family Planning Commission · CN

Funding

Fundamental Research Funds for the Central Universities xzy022019006Key projects of international cooperation among governments in scientific and technological innovation 2016YFE0119100Medical Research Council MC_PC_17228Medical Research Council MC_QA137853National Natural Science Foundation of China 81673112National Natural Science Foundation of China 81703177Natural Science Foundation of Shaanxi Province 2017JZ024
6 · The paper itself

Abstract

We aim to explore the potential interaction effects of brain aging and gut microbiota on the risks of sleep, anxiety and depression disorders. The genome-wide association study (GWAS) datasets of brain aging (N = 21,407) and gut microbiota (N = 3,890) were obtained from published studies. Individual level genotype and phenotype data of psychiatric traits (including sleep, anxiety and depression) were all from the UK Biobank (N = 107,947-374,505). We first calculated the polygenic risk scores (PRS) of 62 brain aging modes and 114 gut microbiota taxa as the instrumental variables, and then constructed linear and logistic regression analyses to systematically explore the potential interaction effects of brain aging and gut microbiota on psychiatric disorders. We observed the interaction effects of brain aging and gut microbiota on sleep, anxiety and depression disorders, such as Putamen/caudate T2* vs. Rhodospirillales (β = -0.012, P = 8.4 × 10

Indexed as

Gastrointestinal MicrobiomeMental DisordersAgingBrainGenome-Wide Association StudyHumansMagnetic Resonance ImagingBrain agingGut microbiotaPolygenic risk scoresPsychiatric disorders

Identifiers

PMID35076893
OpenAlexW4210510257

What OpenQuestion 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 OpenQuestion graph.