Dual Activation‐Induced Marker Combinations Efficiently Identify and Discern Antigen‐Specific and Bystander‐Activated Human CD4 + T Cells
Year: 2024
Type: article
Abstract: ABSTRACT Identifying activated T lymphocytes and differentiating antigen‐specific from bystander T cells is crucial for understanding adaptive immune responses. This study investigates the efficacy of activation‐induced markers (AIMs) in distinguishing these cell populations. We measured the expression of commonly used AIMs (CD25, CD38, CD40L, CD69, CD137, HLA‐DR, ICOS, and OX40) in an in vitro T‐cell activation system and evaluated their sensitivity, specificity, and positive predictive value. We demonstrated that individual AIMs, while specific in detecting activated CD4 + T cells, poorly discriminate between antigen‐specific and bystander activation, as assessed by a discriminative capacity (DC) score we developed. Our analysis revealed that dual AIM combinations significantly enhanced the ability to distinguish antigen‐specific from bystander‐activated T cells, achieving DC scores above 90%. These combinations also improved positive predictive value and specificity with a modest reduction in sensitivity. The CD25 hi /ICOS hi combination emerged as the most efficient, with an average sensitivity of 84.35%, specificity of 99.7%, and DC score of 90.12%. Validation through T‐cell cloning and antigen re‐stimulation confirmed the robustness of our predictions. This study provides a practical framework for researchers to optimize strategies for identifying and isolating antigen‐specific human CD4 + T lymphocytes and studying their phenotype, function, and T‐cell receptor repertoire.
Source: European Journal of Immunology
Institutions: Istituto Nazionale Genetica Molecolare, Institute for Research in Biomedicine, Università della Svizzera italiana, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Centre for Multidisciplinary Research in Health Science, ETH Zurich, Institute of Microbiology
Language: English
Topic: T-cell and B-cell Immunology
Subfield: Immunology
Field: Immunology and Microbiology
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $4,330
Funder: Ministero della Salute
Awards: G2694300493, G4506881431
OpenAlex ID: W4405338430
