Jichu yixue yu linchuang (Sep 2023)

Analysis of differentially expressed proteins in Hashimoto thyroiditis patients with obesity by serum-based proteomics

  • MA Guoying, Jiazireya·ZAIYINATI, LI Suli, GUO Yanying

DOI
https://doi.org/10.16352/j.issn.1001-6325.2023.09.1375
Journal volume & issue
Vol. 43, no. 9
pp. 1375 – 1382

Abstract

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Objective To explore the effects of obesity and normal weight on serum proteomic differences in Hashimoto thyroiditis(HT) patients, and to observe the existing differential proteins and related pathways. Methods The serum samples from 10 obese and 10 normal weight patients with Hashimoto thyroiditis patients and from 10 controls were collected. The proteins in the serum were extracted and degraded by trypsin, analyzed by liquidchromatography-mass spectrometry, compared with the control group, identified the expression changes of differential proteins in the two groups, and analyzed by bioinformatics. Results There were 180 serum differential proteins were detected between Hashimoto thyroiditis group and control group; The differential proteins were involved in relaxin signal pathway,adrenergic signaling in cardiomyocytes and cardiac muscle contraction; There were 232 differential proteins in Hashimoto thyroiditis complicated with obesity group as compared with the control group. The differential proteins related to pathways were inflammatory mediators to regulate TRP channel, C-type lectin receptor signaling pathway and Apelin signaling pathway; The results showed that there were 212 differential proteins in serum between the Hashimoto thyroiditis patients with or without obesity group, and the pathway of differential protein enrichment was estrogen signaling pathway. Conclusions Both Hashimoto thyroiditis patients with or without obesity has a changed protein expression in serum but the change may increase the risk of developing thyroid cancer only in patients combined with obesity. The results provide a theoretical basis for further research of the disease and is of great significance for clinical diagnosis and treatment.

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