Multi-omics data integration reveals novel genes related to autoimmune hypothyroidism in the brain: A molecular basis for the brain-thyroid axis.

Background: The mechanisms underlying the complex relationship between autoimmune hypothyroidism and neurological disorders remain unclear. We conducted a comprehensive analysis of associations between alternative splicing, transcriptomics, and proteomics data and autoimmune hypothyroidism.

Methods: Splicing-wide association studies (SWAS), proteome-wide association studies (PWAS), and transcriptome-wide association studies (TWAS) were used to identify genes and proteins that regulate autoimmune hypothyroidism within the brain axis. We performed TWAS on GTEx V8 thyroid tissue data to identify autoimmune hypothyroidism-associated thyroid axis genes. A FUSION analysis of overlapping genes in the brain and thyroid axes and brain splicing weights was conducted to determine the influence of alternative splicing in the brain on thyroid tissue gene expression.

Results: SWAS identified 223 alternative splicing events, TWAS identified 270 genes, and PWAS revealed five genes (FDPS, PPIL3, PEX6, MMAB, and ALDH2) encoding proteins associated with autoimmune hypothyroidism. Neuroimaging analyses revealed distinct brain-imaging phenotypes associated with these five genes. TWAS of thyroid tissue identified four genes (FDPS, PPIL3, MMAB, and ALDH2) associated with the brain axis related to thyroid tissue. A FUSION analysis indicated that alternative splicing changes in ALDH2 in brain tissue influenced its expression in thyroid tissue.

Conclusion: Integrating brain splicing, proteomic, and transcriptomic data supports the association between specific genes and proteins in the brain and autoimmune hypothyroidism. Additionally, ALDH2 alternative splicing in brain tissue influences its thyroid tissue expression. These findings provide new insights into the molecular basis of autoimmune hypothyroidism, facilitating future pathogenesis research.