Cited by 139Gut microbiota and healthParkinson's Disease Mechanisms and TreatmentsOral microbiology and periodontitis research

Gut Metagenomics-Derived Genes as Potential Biomarkers of Parkinson’s Disease

Open access
Qian, Yiwei, Yang, Xiaodong, Xu, Shaoqing, Huang, Pei, Li, Binyin, Du, Juanjuan, He, Yixi, Su, Binghua +5 more·2020·Brain

Abstract

Identification of the gut microbiome compositions associated with disease has become a research focus worldwide. Emerging evidence has revealed the presence of gut microbiota dysbiosis in Parkinson's disease. In this study, we aimed to identify the gut microbiome associated with Parkinson's disease and subsequently to screen and to validate potential diagnostic biomarkers of Parkinson's disease. This case-control study investigated gut microbial genes in faeces from 40 volunteer Chinese patients with Parkinson's disease and their healthy spouses using shotgun metagenomic sequencing. Furthermore, the identified specific gut microbial gene markers were validated with real-time PCR in an independent Chinese cohort of 78 Parkinson's disease patients, 75 control subjects, 40 patients with multiple system atrophy and 25 patients with Alzheimer's disease. We developed the first gut microbial gene catalogue associated with Parkinson's disease. Twenty-five gene markers were identified that distinguished Parkinson's disease patients from healthy control subjects, achieving an area under the receiver operating characteristic curve (AUC) of 0.896 (95% confidence interval: 83.1-96.1%). A highly accurate Parkinson's disease index, which was not influenced by disease severity or Parkinson's disease medications, was created. Testing these gene markers using quantitative PCR distinguished Parkinson's disease patients from healthy controls not only in the 40 couples (AUC = 0.922, 95% confidence interval: 86.4-98.0%), but also in an independent group of 78 patients with Parkinson's disease and 75 healthy control subjects (AUC = 0.905, 95% confidence interval: 86.0-95.1%). This classifier also performed a differential diagnosis power in discriminating these 78 patients with Parkinson's disease from a cohort of 40 patients with multiple system atrophy and 25 patients with Alzheimer's disease based on the panel of 25 biomarkers. Based on our results, the identified Parkinson's disease index based on the gene set from the gut microbiome may be a potential diagnostic biomarker of Parkinson's disease.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/brain/awaa201

Cites

75 of 75 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • GM-based biomarkers have recently been considered as promising early and prodromal diagnostic tools in various neurological diseases, such as multiple sclerosis, Alzheimer's disease and Parkinson's disease itself.

    “GM-based biomarkers have recently been considered as promising early and prodromal diagnostic tools in various neurological diseases, such as multiple sclerosis, AD and PD itself [30,156,157]”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 2

  1. Gilman S, Wenning GK, Low PA, Brooks DJ, Mathias CJ, Trojanowski JQ, et al. Second consensus statement on the diagnosis of MSA. Neurology 2008; 71: 670-6.
  2. Tan AH, Chong CW, Song SL, Teh CSJ, Yap I, Loke MF, et al. Altered gut microbiome and metabolome in patients with MSA. Mov Disord 2018; 33: 174-6.

Cited by

Sorted by citations

Authors
Qian, Y., Yang, X., Xu, S., Huang, P., Li, B., Du, J., He, Y., Su, B., Xu, L.-M., Wang, L., Huang, R., Chen, S., & Xiao, Q.
Affiliations
  • Shanghai Jiao Tong University (CN)
  • Department of Biostatistics, Institute of Medical Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, P.R. China
  • Department of Bioinformatics, Shanghai Biotechnology Corporation, Shanghai, 200025, P.R. China
Corresponding author
  • Chen, Shengdi
  • Xiao, Qin
Venue
Brain
Published
2020-08-01
Volume
143
Issue
8
Pages
2474-2489
ISSN
  • 0006-8950 (ISSN-L)
  • 1460-2156
OpenAlex
W3081307311
Cited by
139
References
75
Citations by year
2026: 22 · 2025: 25 · 2024: 23 · 2023: 26 · 2022: 33 · 2021: 10
FWCI
5.60
Type
journal article
Language
en
Open access
Locations
  • Brain (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Key R&D Program of China (2016YFC1306000)
  • National Natural Science Foundation of China (81071023, 81430022, 81771374)
  • Shanghai Municipal Science and Technology Major Project (2018SHZDZX05)
  • Shanghai Sailing Program (18YF1414000)
  • Doctoral Innovation Fund
  • Shanghai Jiao Tong University School of Medicine (BXJ201714)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Health Sciences › Medicine › Neurology › Parkinson's Disease Mechanisms and Treatments
  • Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
Keywords
Parkinson's disease, gut microbiota, diagnostic biomarkers, metagenomics, multiple system atrophy, Alzheimer's disease, differential diagnosis, fecal microbiota, dysbiosis
MeSH terms
Gastrointestinal Microbiome, Aged, Feces, Female, Genetic Markers, Humans, Male, Middle Aged, Parkinson Disease, Case-Control Studies, Metagenomics

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review