Evidence map›Paper›PMID 34384375›Full record

ArticleBMC microbiology2021

Disturbed microbial ecology in Alzheimer's disease: evidence from the gut microbiota and fecal metabolome.

Jianxiong Xi, Ding Ding, Huiwei Zhu, Ruru Wang, Feng Su, Wanqing Wu, Zhenxu Xiao, Xiaoniu Liang, Qianhua Zhao, Zhen Hong and 2 more

Abstract read
In one paragraph

Article in BMC microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 5 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

57 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Article
  7. Review
  8. Revealing the effects ofFrontiers in microbiology · 2026
    Article
  9. Article
  10. Review
  11. Article
  12. Exploring the role of infectious pathogens in Alzheimer's disease neuroinflammation.Frontiers in cellular and infection microbiology · 2026
    Review
  13. Review
  14. Article
  15. Nutrients · 2025
    Article
  16. Article
  17. 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

12 authors.

Jianxiong XiDepartment of Preventive Medicine and Health Education, School of Public Health, Fudan University, Shanghai, 200032, China.
Ding DingInstitute of Neurology, Huashan Hospital, Fudan University, Shanghai, 200040, China. dingding@huashan.org.cn.
Huiwei ZhuDepartment of Preventive Medicine and Health Education, School of Public Health, Fudan University, Shanghai, 200032, China.
Ruru WangDepartment of Preventive Medicine and Health Education, School of Public Health, Fudan University, Shanghai, 200032, China.
Feng SuDepartment of Preventive Medicine and Health Education, School of Public Health, Fudan University, Shanghai, 200032, China.
Wanqing WuInstitute of Neurology, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Zhenxu XiaoInstitute of Neurology, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Xiaoniu LiangInstitute of Neurology, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Qianhua ZhaoInstitute of Neurology, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Zhen HongInstitute of Neurology, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Hua FuDepartment of Preventive Medicine and Health Education, School of Public Health, Fudan University, Shanghai, 200032, China.
Qianyi XiaoDepartment of Preventive Medicine and Health Education, School of Public Health, Fudan University, Shanghai, 200032, China. xiaoqianyi@fudan.edu.cn.ORCID 0000-0002-3349-302X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGut microbiota (GMB) alteration has been reported to influence the Alzheimer's disease (AD) pathogenesis through immune, endocrine, and metabolic pathways. This study aims to investigate metabolic output of the dysbiosis of GMB in AD pathogenesis. In this study, the fecal microbiota and metabolome from 21 AD participants and 44 cognitively normal control participants were measured. Untargeted GMB taxa was analyzed through 16S ribosomal RNA gene profiling based on next-generation sequencing and fecal metabolites were quantified by using ultrahigh performance liquid chromatography-mass spectrometry (UPLC-MS).

resultsOur analysis revealed that AD was characterized by 15 altered gut bacterial genera, of which 46.7% (7/15 general) was significantly associated with a series of metabolite markers. The predicted metabolic profile of altered gut microbial composition included steroid hormone biosynthesis, N-Acyl amino acid metabolism and piperidine metabolism. Moreover, a combination of 2 gut bacterial genera (Faecalibacterium and Pseudomonas) and 4 metabolites (N-Docosahexaenoyl GABA, 19-Oxoandrost-4-ene-3,17-dione, Trigofoenoside F and 22-Angeloylbarringtogenol C) was able to discriminate AD from NC with AUC of 0.955 in these 65 subjects.

conclusionsThese findings demonstrate that gut microbial alterations and related metabolic output changes may be associated with pathogenesis of AD, and suggest that fecal markers might be used as a non-invasive examination to assist screening and diagnosis of AD.

Indexed as

MetabolomeAgedAged, 80 and overAlzheimer DiseaseBacteriaChromatography, LiquidDysbiosisFecesFemaleGastrointestinal MicrobiomeHumansMaleMetabolic Networks and PathwaysMetabolomicsRNA, Ribosomal, 16STandem Mass SpectrometryRNA, Ribosomal, 16SAlzheimer’s diseaseFecal markersFecal metabolomeGut microbiotaInflammatory cytokines

Identifiers

PMID34384375
PMCPMC8361629

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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.