ScRNA-Seq reveals T cell immunity in COVID-19 patients and implications for immunotherapy

Abstract

SARS-CoV-2, the virus causing COVID-19, poses significant health threats due to its high transmissibility and potential for severe respiratory complications. T cells, central to adaptive immunity, also interact with innate immunity, playing a pivotal role in coordinating defenses and eliminating infected cells. Single-cell RNA sequencing (scRNA-seq) has provided more subtle heterogeneity, rare subpopulations, or new subpopulations that are at the district differentiation stage or with specific function. Thus, elucidating how T cell heterogeneity impacts COVID-19 disease severity remains a critical question requiring comprehensive analysis. This review revealed the heterogeneity of the host T cells, including conventional T cells (CD8+, CD4+ T cells) and unconventional T cells, including natural killer T (NKT) cells, mucosal-associated invariant T (MAIT) and gamma-delta T (γδT) cells in COVID-19 patients with different clinical manifestations. Severe COVID-19 had marked lymphopenia, excessive activation, elevated exhaustion and reduced functional diversity of T cells. Pathogenic contributions arise from dysregulated cytotoxic T cells, Treg cells and unconventional T cells collectively driving systemic hyperinflammation and tissue injury. Current therapeutic strategies targeting T cells-such as enhancing virus-specific T cell responses, reverting T-cell exhaustion and alleviating inflammation-exhibit inconsistent efficacy, underscoring the need for combinatorial approaches. This review highlights how scRNA-seq deciphers T cell heterogeneity and dysfunction in COVID-19. By targeting T cell exhaustion, inflammation, and subset-specific deficits, these insights pave the way for therapies and vaccines.