Molecular Alteration Analysis of Human Gut Microbial Composition in Graves' disease Patients

Study information

Needs review

study design

case-control

Citation

PMID PubMed identifier for scientific articles.

30263008

DOI Digital object identifier for electronic documents.

10.7150/ijbs.24151

URI Uniform resource identifier for web resources.

Authors

Ishaq HM, Mohammad IS, Shahzad M, Ma C, Raza MA, Wu X, Guo H, Shi P, Xu J

Journal

International journal of biological sciences

Year

2018

The gut microbial association with host co-existence is critical for body homeostasis and pathogenicity. Graves' disease (GD) is an autoimmune disease manifested with hyperthyroidism and ophthalmopathy. However, we hypothesized that gut bacteria could affect an important role in GD pathogenicity. The current study aim was to characterize and investigate the intestinal bacterial composition of GD qualitatively and quantitatively. 27 GD and 11 healthy controls were enrolled for fecal sample collection. The PCR-DGGE of 16S rRNA gene by targeting V3 region and Real-time PCR for Lactobacillus, Bifidobacterium, Bacteroides vulgatus and Clostridium leptum, were performed. High-throughput sequencing of 16S rRNA gene with the V3+V4 site was perormed on Hiseq2500 platform on randomly 20 selected samples. The relative analysis of richness indices and diversity illustrated lesser diversification of intestinal bacteria in GD patients in contrast to controls. The data statistics shows the alteration in phyla of GD as compared to control. At the family taxonomic level, the relative abundance of Prevotellaceae and Pasteurellaceae were significantly higher in patients, while Enterobacteriaceae, Veillonellaceae, and Rikenellaceae were significantly lower in the diseased group as compared to control. At the genus level, a significant raised in genera count of the diseased group were Prevotella_9 and Haemophilus, while significantly decreased in the genera of the GD group were Alistipes and Faecalibacterium. The modulation in intestinal bacterial composition was checked at species level particularly H. parainfluenza abundance was raised in GD. The outcomes of the current study are aligned with the proposed hypothesis of gut microbial dysbiosis in GD. Statistically, alpha indices and differential abundance analyses of each intestinal bacterial community were significantly changed in GD. Therefore, the current study may provide a new insight into the GD pathogenesis and, in turn, explore its contribution in possible treatments.

Experiment 1

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Curated date: 2021/01/10

Curator: WikiWorks

Revision editor(s): Rimsha, WikiWorks

Subjects

Location of subjects: China

Host species Species from which microbiome was sampled (if applicable): 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

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

Group 0 name Corresponds to the control (unexposed) group for case-control studies: healthy controls
Group 1 name Corresponds to the case (exposed) group for case-control studies: graves disease
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group: graves' disease patients
Group 0 sample size Number of subjects in the control (unexposed) group: 11
Group 1 sample size Number of subjects in the case (exposed) group: 27
Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any): 2 months

Lab analysis

Sequencing type: 16S

16S variable region One or more hypervariable region(s) of the bacterial 16S gene: V3-V4

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

Statistical Analysis

Statistical test: T-Test

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)?: No

Matched on Factors on which subjects have been matched on in a case-control study: age

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness: unchanged
Chao1 Abundance-based estimator of species richness: decreased
Simpson Estimator of species richness and species evenness: more weight on species evenness: unchanged
Richness Number of species: decreased