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Related Experiment Video

Updated: Jul 12, 2025

Author Spotlight: In Vivo Assessment of Thyroid Hormone Disruption Using the THAI Mouse Model
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Exploring blood metabolites and thyroid disorders: a bidirectional mendelian randomization study.

Xuan Zhang1,2,3,4,5, Jiating Zhou1,2,3,4, Zilan Xie1,2,3,4

  • 1Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, Hunan, China.

Frontiers in Endocrinology
|October 25, 2023
PubMed
Summary

Mendelian Randomization reveals causal links between specific blood metabolites and thyroid disorders like toxic nodular goiter (TC), Graves' disease (GD), and Hashimoto's thyroiditis (HT). These findings offer potential biomarkers for thyroid disease screening and prevention.

Keywords:
Mendelian randomizationautoimmune thyroid diseasebidirectionalmetabolitesthyroid cancer

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Area of Science:

  • Metabolomics
  • Genetics
  • Endocrinology

Background:

  • Observational studies suggest associations between human blood metabolites and thyroid disorders.
  • Establishing causal relationships is crucial for understanding disease mechanisms.
  • Mendelian Randomization (MR) is a robust method for inferring causality from observational data.

Purpose of the Study:

  • To investigate the causal relationships between 452 blood metabolites and three thyroid disorders: toxic nodular goiter (TC), Graves' disease (GD), and Hashimoto's thyroiditis (HT).

Main Methods:

  • A two-sample bidirectional Mendelian Randomization (MR) analysis was performed.
  • Inverse Variance Weighted (IVW) method was used for causal estimation.
  • Sensitivity analyses included MR-Egger, Weighted Median, and MR-PRESSO; heterogeneity and pleiotropy were assessed.

Main Results:

  • Forty-six metabolites showed suggestive associations with thyroid disease risk.
  • Specific metabolites like Aspartate and C-glycosyltryptophan were linked to TC; Kynurenine and 4-androsten-3beta,17beta-diol disulfate 2 to GD; Alpha-ketoglutarate and X-14189-leucylalanine to HT.
  • Twenty-three metabolites were found to influence both TC and GD; multiple metabolic pathways were implicated in thyroid disease.

Conclusions:

  • The identified metabolites and pathways may serve as potential biomarkers for clinical screening and prevention of thyroid disorders.
  • Findings provide new avenues for mechanistic exploration and identification of drug targets.
  • Causal inference strengthens the link between specific metabolites and thyroid dysfunction.