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Investigating Vα7.2+/CD161- T Cell and MAIT Cell Profiles Using Flow Cytometry in Healthy Subjects and Subjects with Atopic Dermatitis.


ABSTRACT: This study investigates the roles of mucosal-associated invariant T (MAIT) cells and Vα7.2+/CD161- T cells in skin diseases, focusing on atopic dermatitis. MAIT cells, crucial for bridging innate and adaptive immunity, were analyzed alongside Vα7.2+/CD161- T cells in peripheral blood samples from 14 atopic dermatitis patients and 10 healthy controls. Flow cytometry and machine learning algorithms were employed for a comprehensive analysis. The results indicate a significant decrease in MAIT cells and CD69 subsets in atopic dermatitis, coupled with elevated CD38 and polyfunctional MAIT cells producing TNFα and Granzyme B (TNFα+/GzB+). Vα7.2+/CD161- T cells in atopic dermatitis exhibited a decrease in CD8 and IFNγ-producing subsets but an increase in CD38 activated and IL-22-producing subsets. These results highlight the distinctive features of MAIT cells and Vα7.2+/CD161- T cells and their different roles in the pathogenesis of atopic dermatitis and provide insights into their potential roles in immune-mediated skin diseases.

SUBMITTER: Singh P 

PROVIDER: S-EPMC10970526 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature

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Investigating Vα7.2<sup>+</sup>/CD161<sup>-</sup> T Cell and MAIT Cell Profiles Using Flow Cytometry in Healthy Subjects and Subjects with Atopic Dermatitis.

Singh Parvind P   Gaspar Krisztian K   Szegedi Andrea A   Sajtos Laszlo L   Barath Sandor S   Hevessy Zsuzsanna Z  

International journal of molecular sciences 20240320 6


This study investigates the roles of mucosal-associated invariant T (MAIT) cells and Vα7.2<sup>+</sup>/CD161<sup>-</sup> T cells in skin diseases, focusing on atopic dermatitis. MAIT cells, crucial for bridging innate and adaptive immunity, were analyzed alongside Vα7.2<sup>+</sup>/CD161<sup>-</sup> T cells in peripheral blood samples from 14 atopic dermatitis patients and 10 healthy controls. Flow cytometry and machine learning algorithms were employed for a comprehensive analysis. The results  ...[more]

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