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T helper (Th) cell profiles and cytokines/chemokines in characterization, treatment, and monitoring of autoimmune diseases

趋化因子 免疫学 流式细胞术 嗜酸性粒细胞趋化因子 促炎细胞因子 T细胞 T辅助细胞 医学 生物 炎症 免疫系统
作者
Mohamad Ammar Ayass,Trivendra Tripathi,Kevin Zhu,Ramya Ramankutty Nair,Kristen Melendez,Jin Zhang,Seyed Ali Fatemi,Tutku Okyay,Natalya Griko,Melesse Balcha Ghelan,Victor Pashkov,Lina Abi-Mosleh
出处
期刊:Methods [Elsevier]
卷期号:220: 115-125 被引量:1
标识
DOI:10.1016/j.ymeth.2023.11.003
摘要

Autoimmune diseases (AD) consist of a spectrum of disease entities whose etiologies are very complex and still not well understood. Every individual has the potential for developing AD under appropriate conditions because the body contains lymphocytes that are potentially reactive with self-antigens. The aims of this study are to (1) explore the flow cytometry method to identify the frequency of various circulating CD4+ T helper (Th) cell-subsets, including Th1, Th2, Th9, Th17, Th17.1, and Th22; (2) In parallel, to examine multiplex ELISA method for pathogenic inflammatory cytokines/chemokines, and (3) To assess the correlation of expression of T cell-subsets with serum cytokines/chemokines and understand its clinical importance with available AD treatments. We analyzed Th17, Th17.1, Th22, Th2, Th1, and Th9 Th cell populations and compared the concentrations of 67 cytokines/chemokines in healthy as well as AD-diagnosed patients. We observed that patients with autoimmune markers had significantly elevated percentages of naïve (Th17, Th22, and Th9) as well as memory (Th17 and Th22) Th cell-subsets, along with increased concentrations of cytokines/chemokines (Eotaxin, TNFβ, and FABP4). The percentage of Th cell-subsets correlated positively or negatively with the production of cytokines/chemokines of patients diagnosed with AD. Our study demonstrates that the naïve and memory Th cell-subsets with positive correlations to cytokines/chemokines show new diagnostic markers to predict the patients' outcome, while the negative correlation of cytokines/chemokines shows the response to autoimmune therapies. Our findings of Th cell-subsets by flow cytometry and cytokines/chemokines by multiplex ELISA suggest that CCR6+ Th cell-subsets (Th17, Th17.1, Th22, and Th9) contribute to our understanding of the pathogenesis of AD and identify the new onset of AD from the autoimmune spectrum. Our findings highlight the importance of CCR6+ as a possible marker in the characterization, treatment, and monitoring of AD.
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