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Related Concept Videos

Autoimmune Disorders01:29

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Autoimmune diseases are a group of disorders in which the body's immune system mistakenly attacks its own cells, tissues, and organs. This results from an overactive immune response against substances and tissues normally present in the body. Let's delve into the concept and mechanism of autoimmune diseases from an immune system point of view, explore different causes and examples of such diseases, and discuss potential solutions.
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Related Experiment Video

Updated: Jul 3, 2025

Generation of a Mouse Spontaneous Autoimmune Thyroiditis Model
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Causal relationship between gut microbiota and autoimmune thyroiditis: A mendelian study.

Yujun Xiong1, Xingyun Zhu2, Qingfeng Luo1

  • 1Department of Gastroenterology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, PR China, 100370, Beijing, China.

Heliyon
|February 15, 2024
PubMed
Summary

This study investigated the causal link between gut bacteria and autoimmune thyroiditis (AIT). Certain gut microbes were found to have a genetic influence on AIT development, suggesting potential microbiome-based interventions.

Keywords:
Autoimmune thyroiditisGut microbiotaMendelian randomization

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Area of Science:

  • Immunology
  • Microbiology
  • Genetics

Background:

  • Autoimmune thyroiditis (AIT), also known as Hashimoto's thyroiditis, is a common autoimmune condition with unclear pathogenesis.
  • Previous research suggests a link between gut microbiota and AIT, but causality remains uncertain.
  • Investigating the gut microbiome's role is crucial for understanding AIT development.

Purpose of the Study:

  • To explore the potential causal association between gut microbiota and AIT.
  • To utilize Mendelian randomization (MR) for assessing genetic links between gut bacteria and AIT.
  • To identify specific gut taxa that may influence AIT risk.

Main Methods:

  • Employed a two-sample Mendelian randomization (MR) approach.
  • Utilized comprehensive gut microbiota data from the MiBioGen study (211 taxa).
  • Integrated genetic associations from large-scale genome-wide association studies (GWAS) including UK Biobank and FinnGen.

Main Results:

  • Identified six gut microbial species significantly associated with AIT via the IVW method.
  • Observed negative associations between AIT and specific taxa: family Alcaligenaceae, family Pasteurellaceae, family Peptococcaceae, genus Lachnospira, genus Victivallis, and order Pasteurellales.
  • Confirmed no significant pleiotropy or heterogeneity, supporting the reliability of the findings.

Conclusions:

  • Established a genetically predicted causal relationship between specific gut microbiota and AIT.
  • Provided novel insights into gut microbiota-mediated mechanisms in AIT pathogenesis.
  • Highlighted the potential for microbiome-targeted strategies in future AIT interventions.