Endocrine polyautoimmunity: Mechanistic insights and the future of AI-driven diagnostics
Shabnam Heydarzadeh, Raziyeh Abooshahab, Maryam Zarkesh, Mehdi Hedayati
TL;DR
This paper explores how autoimmune thyroid diseases are linked to other autoimmune disorders and how AI can improve their diagnosis and treatment.
Contribution
The paper provides mechanistic insights into endocrine polyautoimmunity and highlights the potential of AI in diagnostics.
Findings
Autoimmune thyroid diseases are central to polyautoimmunity and share immunological and genetic patterns with other autoimmune disorders.
Epitope spreading, cytokine imbalance, and shared autoantibodies contribute to the development of multiple autoimmune conditions.
AI has the potential to enhance early detection and personalize treatment for autoimmune diseases.
Abstract
The most prevalent form of polyautoimmunity is autoimmune thyroid diseases (AITD), which frequently coexist with other autoimmune disorders and often act as a central conductor in the symphony of autoimmunity. Due to overlapping clinical manifestations, diagnosing polyautoimmunity presents significant clinical challenges. Patients with AITD exhibit increased susceptibility to additional autoimmune disorders, in which the exact etiology and underlying mechanisms of these associations remain incompletely understood. In this review, we aim to discuss how mechanistic insights contribute to our understanding of the associations between endocrine autoimmune diseases to recognize shared immunological, genetical, and pathological patterns for these diseases. Recent findings, including epitope spreading, cytokine imbalance, shared thyroidal and non-thyroidal autoantibodies, and common genetic…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsThyroid Disorders and Treatments · Diabetes and associated disorders · Systemic Lupus Erythematosus Research