3 citations
,
January 2025 in “BMC Medical Informatics and Decision Making” This study suggests that novel diagnostic, preventive, and treatment approaches for autoimmune diseases like alopecia areata may be developed by identifying hub genes, and highlights the usefulness of machine learning and bioinformatics in finding new disease biomarkers.
September 2024 in “Archives of Medical Science” Alopecia areata is linked to immune system differences, with specific biomarkers like CXCL9 and CXCL10 being key for diagnosis and potential treatment targets.
This study observed that, among alopecia areata patients in Fujian, China, lower IgG4 levels and higher IFN-γ levels were statistically significant, suggesting their potential role as biomarkers for the condition and highlighting avenues for future therapeutic developments.
2 citations
,
November 2024 in “Clinical Cosmetic and Investigational Dermatology” This Mendelian randomization study suggests a causal link between higher BMI and increased risk of psoriasis, atopic dermatitis, and hidradenitis suppurativa, potentially due to elevated biomarkers such as triglycerides and C-reactive protein.
July 2024 in “Journal of Investigative Dermatology” Sex and race affect immune responses and treatment outcomes in Hidradenitis suppurativa.