Intestinal microbiota changes in Graves' disease: a prospective clinical study

Study information

Needs review

study design

cross-sectional observational, not case-control

Citation

PMID PubMed identifier for scientific articles.

32820337

DOI Digital object identifier for electronic documents.

https://doi.org/10.1042/BSR20191242

URI Uniform resource identifier for web resources.

Authors

Yan HX, An WC, Chen F, An B, Pan Y, Jin J, Xia XP, Cui ZJ, Jiang L, Zhou SJ, Jin HX, Ou XH, Huang W, Hong TP, Lyu ZH

Journal

Bioscience reports

Year

2020

Keywords:

Case-control, Grave's disease (GD), Hyperthyroidism, Intestinal microbiota, Prospective, Thyroid-stimulating antibodies (TSAb)

Graves' disease (GD) occurs due to an autoimmune dysfunction of thyroid gland cells, leading to manifestations consistent with hyperthyroidism. Various studies have confirmed the link between autoimmune conditions and changes in the composition of intestinal microbial organisms. However, few studies have assessed the relationship between the GD and the changes in intestinal microbiota. Therefore, the present study aimed to investigate changes in intestinal flora that may occur in the setting of GD. Thirty-nine patients with GD and 17 healthy controls were enrolled for fecal sample collection. 16S rRNA sequencing was used to analyze the diversity and composition of the intestinal microbiota. High-throughput sequencing of 16S rRNA genes of intestinal flora was performed on Illumina Hiseq2500 platform. Comparing to healthy individuals, the number of Bacilli, Lactobacillales, Prevotella, Megamonas and Veillonella strains were increased, whereas the number of Ruminococcus, Rikenellaceae and Alistipes strains were decreased among patients with GD. Furthermore, patients with GD showed a decrease in intestinal microbial diversity. Therefore, it indicates that the diversity of microbial strains is significantly reduced in GD patients, and patients with GD will undergo significant changes in intestinal microbiota, by comparing the intestinal flora of GD and healthy controls. These conclusions are expected to provide a preliminary reference for further researches on the interaction mechanism between intestinal flora and GD.

Experiment 1

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Curated date: 2025/07/24

Curator: Aleru Divine

Revision editor(s): Aleru Divine

Subjects

Location of subjects: China

Host species Species from which microbiome was sampled. Contact us to have more species added.: Homo sapiens

Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology: Feces Cow dung,Cow pat,Droppings,Dung,Excrement,Excreta,Faeces,Fecal material,Fecal matter,Fewmet,Frass,Guano,Matières fécales@fr,Merde@fr,Ordure,Partie de la merde@fr,Piece of shit,Porción de mierda@es,Portion of dung,Portion of excrement,Portion of faeces,Portion of fecal material,Portion of fecal matter,Portion of feces,Portion of guano,Portion of scat,Portionem cacas,Scat,Spoor,Spraint,Stool,Teil der fäkalien@de,Feces,feces

Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology: Graves disease Basedow disease,Basedow's disease,exophthalmic goiter,Flajani-Basedow-Graves disease,grave's disease,Graves disease,Graves' disease,Graves' hyperthyroidism,parry disease,toxic diffuse goiter,graves disease

Group 0 name Corresponds to the control (unexposed) group for case-control studies: Healthy Controls (HCs)

Group 1 name Corresponds to the case (exposed) group for case-control studies: Graves’ disease (GD)

Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group: Patients diagnosed with Graves’ disease (GD)

Group 0 sample size Number of subjects in the control (unexposed) group: 17

Group 1 sample size Number of subjects in the case (exposed) group: 39

Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any): Three months

Lab analysis

Sequencing type: 16S

16S variable region One or more hypervariable region(s) of the bacterial 16S gene: Not specified

Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance: Illumina

Statistical Analysis

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).: relative abundances

Statistical test: LEfSe

Significance threshold p-value or FDR threshold used for differential abundance testing (if any): 0.05

MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?: Yes

LDA Score above Threshold for the linear discriminant analysis (LDA) score for studies using the popular LEfSe tool: 2

Matched on Factors on which subjects have been matched on in a case-control study: age, body mass index, sex

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness: decreased

Chao1 Abundance-based estimator of species richness: unchanged

Simpson Estimator of species richness and species evenness: more weight on species evenness: unchanged

Richness Number of species: unchanged

Signature 1

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Mark reviewed

Your review change was submitted

Needs review

Curated date: 2025/07/24

Curator: Aleru Divine

Revision editor(s): Aleru Divine

Source: Table 2

Description: LEfSe results of significant features

Abundance in Group 1: increased abundance in Graves’ disease (GD)

NCBI	Quality Control	Links
Bacilli
Prevotella
Megamonas
Veillonella
Lactobacillales

Revision editor(s): Aleru Divine