Zhang Jiachao and others: Diagnosis of Graves' disease based on markers of intestinal flora

①Graves' disease (GD) is an autoimmune disease with inconvenience and difficulty in clinical diagnosis; ②Recruit 162 subjects (healthy control, GD mild and severe), and analyze the intestinal bacteria by shotgun metagenomic sequencing Group characteristics; ③Intestinal flora of GD patients is imbalanced, pathogenic bacteria and harmful metabolite-producing conditional pathogenic bacteria increase, flora diversity, beneficial symbiotic bacteria and organic acid production decrease, and SNP of some bacterial species changes; ④Use random forest method Establish a classification model containing 32 flora markers (covering bacteria, MAG, genes and SNP), which can accurately distinguish 3 groups of subjects, and distinguish GD from other diseases (including Parkinson's disease) in multi-cohort verification . Editor-in-chief recommendation mildbreeze Graves' disease (GD), also known as "toxic diffuse goiter," is a multi-system syndrome of autoimmune diseases that usually causes hyperthyroidism . The current clinical diagnosis of GD is relatively time-consuming and may be confused with Parkinson's disease. Therefore, it is necessary to develop convenient and accurate diagnostic methods . The Zhang Jiachao team, Kaining Chen team and Rob Knight team of Hainan University published an article in the ISME Journal to analyze the characteristics of the intestinal flora of GD patients, identify disease-specific GD flora markers, and construct a disease diagnosis model. Has clinical application potential . ISME Journal [IF:9. 18] Compositional and genetic alterations in Graves' disease gut microbiome reveal specific diagnostic biomarkerscomposition and the intestinal microbial genetic Graves group revealed changes in specific diagnostic biomarker 10. 1038 / s41396-021-01016-7 06-02, Article This article was the 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. First Authors: Qiyun Zhu,Qiangchuan Hou,Shi Huang,Qianying Ou,Dongxue Huo Correspondence Authors: Kaining Chen,Rob Knight,Jiachao Zhang All Authors: Qiyun Zhu,Qiangchuan Hou,Shi Huang,Qianying Ou,Dongxue Huo,Yoshiki Vázquez-Baeza ,Chaoping Cen,Victor Cantu,Mehrbod Estaki,Haibo Chang,Pedro Belda-Ferre,Ho Cheol Kim,Kaining Chen,Rob Knight,Jiachao Zhang   Disclaimer: This article only represents the author's personal views and has nothing to do with China Probiotics. com . The originality and the text and content stated in the article have not been verified by this site. This site does not make any guarantee or commitment to the authenticity, completeness, and timeliness of this article, all or part of the content, and the text. Please readers for reference only, and please Verify the relevant content yourself .   Copyright Notice 1. Some of the articles reproduced on this site are not original, and the copyright and liability belong to the original author . 2. All reprinted articles, links and pictures on this website are for the purpose of conveying more information, and clearly indicate the source and author. Media or individuals who do not want to be reprinted can contact us for infringement information that can provide sufficient evidence , Bio149 will be deleted within 12 hours after confirmation . 3. Users are welcome to post original articles to 86371366@qq. com, and publish them to the homepage after review. The copyright and liability belong to the sender .

①Graves' disease (GD) is an autoimmune disease with inconvenience and difficulty in clinical diagnosis;

　　②Recruit 162 subjects (healthy control, GD mild and severe), and analyze the intestinal bacteria by shotgun metagenomic sequencing Group characteristics;

　　③Intestinal flora of GD patients is imbalanced, pathogenic bacteria and harmful metabolite-producing conditional pathogenic bacteria increase, flora diversity, beneficial symbiotic bacteria and organic acid production decrease, and SNP of some bacterial species changes;

　　④Use random forest method Establish a classification model containing 32 flora markers (covering bacteria, MAG, genes and SNP), which can accurately distinguish 3 groups of subjects, and distinguish GD from other diseases (including Parkinson's disease) in multi-cohort verification
.

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①Graves' disease (GD) is an autoimmune disease with inconvenience and difficulty in clinical diagnosis;

　　②Recruit 162 subjects (healthy control, GD mild and severe), and analyze the intestinal bacteria by shotgun metagenomic sequencing Group characteristics;

　　③Intestinal flora of GD patients is imbalanced, pathogenic bacteria and harmful metabolite-producing conditional pathogenic bacteria increase, flora diversity, beneficial symbiotic bacteria and organic acid production decrease, and SNP of some bacterial species changes;

　　④Use random forest method Establish a classification model containing 32 flora markers (covering bacteria, MAG, genes and SNP), which can accurately distinguish 3 groups of subjects, and distinguish GD from other diseases (including Parkinson's disease) in multi-cohort verification
.

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①Graves' disease (GD) is an autoimmune disease with inconvenience and difficulty in clinical diagnosis; ②Recruit 162 subjects (healthy control, GD mild and severe), and analyze the intestinal bacteria by shotgun metagenomic sequencing Group characteristics; ③Intestinal flora of GD patients is imbalanced, pathogenic bacteria and harmful metabolite-producing conditional pathogenic bacteria increase, flora diversity, beneficial symbiotic bacteria and organic acid production decrease, and SNP of some bacterial species changes; ④Use random forest method Establish a classification model containing 32 flora markers (covering bacteria, MAG, genes and SNP), which can accurately distinguish 3 groups of subjects, and distinguish GD from other diseases (including Parkinson's disease) in multi-cohort verification
.

Editor-in-chief recommendation
mildbreeze
Graves' disease (GD), also known as "toxic diffuse goiter," is a multi-system syndrome of autoimmune diseases that usually causes hyperthyroidism
.
The current clinical diagnosis of GD is relatively time-consuming and may be confused with Parkinson's disease.
Therefore, it is necessary to develop convenient and accurate diagnostic methods
.
The Zhang Jiachao team, Kaining Chen team and Rob Knight team of Hainan University published an article in the ISME Journal to analyze the characteristics of the intestinal flora of GD patients, identify disease-specific GD flora markers, and construct a disease diagnosis model.
Has clinical application potential
.
ISME Journal ISME Journal ISME Journal[IF:9.
18]Compositional and genetic alterations in Graves’ disease gut microbiome reveal specific diagnostic biomarkers



10.
1038/s41396-021-01016-7

06-02, Article

Abstract:Compositional and genetic alterations in Graves’ disease gut microbiome reveal specific diagnostic biomarkersCompositional and genetic alterations in Graves’ disease gut microbiome reveal specific diagnostic biomarkersGraves' 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.


First Authors:

Qiyun Zhu,Qiangchuan Hou,Shi Huang,Qianying Ou,Dongxue Huo

Correspondence Authors:

Kaining Chen,Rob Knight,Jiachao Zhang

All Authors:

Qiyun Zhu,Qiangchuan Hou,Shi Huang,Qianying Ou,Dongxue Huo,Yoshiki Vázquez-Baeza ,Chaoping Cen,Victor Cantu,Mehrbod Estaki,Haibo Chang,Pedro Belda-Ferre,Ho Cheol Kim,Kaining Chen,Rob Knight,Jiachao Zhang

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