Identification of BTK as an immune-related biomarker for Hashimoto's thyroiditis by integrated bioinformatic analysis.

ABSTRACT:

Background

Hashimoto's thyroiditis (HT) is one of the most common autoimmune disorders characterized by diffuse enlargement of the thyroid gland, lymphocyte infiltration, and thyroid-specific autoantibodies. Cellular and humoral immune disorders have been implicated in the development of HT. However, little is known regarding the role of immune-related molecules in HT. This study was aimed to identify key immune-related biomarkers in HT by using bioinformatic analysis.

Method

Integration of the sequencing data from HT and normal control (NC) in the GSA and GTEx databases yielded a dataset named NGS. The GSE138198 dataset from the GEO database was downloaded as a validation set. WGCNA analysis was performed to identify key modules associated with HT. Lasso regression analysis

SUBMITTER: Liu Y 

PROVIDER: S-EPMC11869739 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature