Evidence map›Paper›PMID 34079079›Full record

ArticleThe ISME journal2021

Compositional and genetic alterations in Graves' disease gut microbiome reveal specific diagnostic biomarkers.

Qiyun Zhu, Qiangchuan Hou, Shi Huang, Qianying Ou, Dongxue Huo, Yoshiki Vázquez-Baeza, Chaoping Cen, Victor Cantu, Mehrbod Estaki, Haibo Chang and 5 more

Erratum issuedAbstract read
In one paragraph

Article in The ISME journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 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

41 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  13. Virulence · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Qiyun Zhu *Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.
Qiangchuan Hou *School of Food Science and Engineering, Hainan University, Haikou, China.
Shi Huang *Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.
Qianying Ou *School of Food Science and Engineering, Hainan University, Haikou, China.
Dongxue Huo *School of Food Science and Engineering, Hainan University, Haikou, China.
Yoshiki Vázquez-BaezaDepartment of Pediatrics, University of California San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0001-6014-2009
Chaoping CenDepartment of Endocrinology, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China.
Victor CantuDepartment of Bioengineering, University of California San Diego, La Jolla, CA, USA.
Mehrbod EstakiDepartment of Pediatrics, University of California San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0003-4556-8444
Haibo ChangSchool of Food Science and Engineering, Hainan University, Haikou, China.
Pedro Belda-FerreDepartment of Pediatrics, University of California San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0001-6532-1161
Ho-Cheol KimScalable Knowledge Intelligence, IBM Research-Almaden, San Jose, CA, USA.
Kaining ChenSchool of Food Science and Engineering, Hainan University, Haikou, China. kainch@sina.com.ORCID http://orcid.org/0000-0003-4878-0918
Rob KnightDepartment of Pediatrics, University of California San Diego, La Jolla, CA, USA. robknight@ucsd.edu.ORCID http://orcid.org/0000-0002-0975-9019
Jiachao ZhangDepartment of Pediatrics, University of California San Diego, La Jolla, CA, USA. zhjch321123@163.com.ORCID http://orcid.org/0000-0001-8099-6749

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Graves' Disease is the most common organ-specific autoimmune disease and has been linked in small pilot studies to taxonomic markers within the gut microbiome. Important limitations of this work include small sample sizes and low-resolution taxonomic markers. Accordingly, we studied 162 gut microbiomes of mild and severe Graves' disease (GD) patients and healthy controls. Taxonomic and functional analyses based on metagenome-assembled genomes (MAGs) and MAG-annotated genes, together with predicted metabolic functions and metabolite profiles, revealed a well-defined network of MAGs, genes and clinical indexes separating healthy from GD subjects. A supervised classification model identified a combination of biomarkers including microbial species, MAGs, genes and SNPs, with predictive power superior to models from any single biomarker type (AUC = 0.98). Global, cross-disease multi-cohort analysis of gut microbiomes revealed high specificity of these GD biomarkers, notably discriminating against Parkinson's Disease, and suggesting that non-invasive stool-based diagnostics will be useful for these diseases.

Indexed as

Gastrointestinal MicrobiomeGraves DiseaseBiomarkersFecesHumansMetagenomeBiomarkers

Identifiers

PMID34079079
PMCPMC8528855

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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.