Precision Medicine in Autoimmune Thyroid Diseases: Decoding Biomarkers, Targeted Therapies and Digital Innovation
- Marcio José Concepción-Zavaleta(corresponding author),
- Jean Pierre Villanueva-De La Cruz,
- Jenyfer Fuentes Mendoza,
- Luis Concepción-Urteaga,
- Cristian D. Armas,
- Arturo Basurto-Ayala
- ,
- Universidad Nacional de Trujillo,
- Universidad Científica del Sur,
- Eastern Virginia Medical School,
- Universidad San Ignacio de Loyola,
- Universidad Nacional Mayor de San Marcos
Publication Information
Output type
Original language
EnglishPages from-to (Number of pages)
Pages 1161-1193 (33 pages)Journal (Volume, Issue Number)
Immunological Investigations (Volume 55, Issue 6)Publication milestones
- Accepted/In press - 2026
- Published - 2026
Publication status
ISSN
0882-0139Publication IDs
- Scopus: 105037496059
- PubMed: 42047347
Abstract
Introduction: Autoimmune thyroid diseases (AITDs), including Graves’ disease and Hashimoto’s thyroiditis, arise from genetic, epigenetic, and environmental disruption of immune tolerance. These conditions represent the extremes of thyroid autoimmunity and contribute substantially to global endocrine morbidity. Areas covered: Recent advances in precision medicine have identified novel biomarkers, such as circulating microRNAs (miR-22, miR-375) and exosomal proteins (VAMP8, hsa_circRNA_000102), which enhance early detection and disease monitoring. Immunogenetic profiling highlights polymorphisms in HLA-DR, CTLA4, and PTPN22 as susceptibility loci. Emerging therapies, including rituximab (anti-CD20), teprotumumab (anti-IGF-1 R), and SYD5115 (TSH-R antagonist), target specific immune pathways. Artificial intelligence improves diagnostic accuracy through radiomics and wearable biosensors, while epigenetic studies and microbiota research further refine pathophysiological understanding. Expert opinion: Despite these advances, major challenges remain in predicting phenotypic conversion and personalizing long-term therapy. Integration of multi-omics with digital health tools is expected to transform patient stratification and management. Within the next decade, precision medicine will likely redefine treatment algorithms, enabling individualized, dynamic care in AITDs.
