Stable characteristics of intrapopulation heterogeneity in virus-specific Th1 cells during chronic viral challenge infection

Virus-specific CD4<sup>+</sup> T cells typically undergo T helper (Th) 1 differentiation and contribute to a type 1 immune response in infection with lymphocytic choriomeningitis virus (LCMV). Using this model pathogen, we performed an in-depth analysis of the quantitative expression stability of the Th1 key transcription factor T-bet. Previously, it was shown that virus-specific Th1 cells arising in acute infections expressed T-bet at distinct intensities and maintained their T-bet expression differences after viral clearance as memory cells for weeks in the steady state. However, it was unclear whether differential T-bet expression was associated with heterogeneity inside the Th1 population and if the quantitative T-bet memory, particularly of those cells expressing T-bet at low levels, could withhold the strong and continuous stimulation present during chronic infection. Using T-bet-ZsGreen reporter mice, virus-specific Th1 cells were characterized phenotypically at protein, RNA, and DNA/chromatin accessibility levels. The Th1 cells arising during acute LCMV Armstrong infection showed a continuous spectrum of T-bet expression, ranging from cells with very high T-bet to cells with low T-bet. Even though the cells with low T-bet expression clearly possessed Th1 characteristics, they additionally showed certain T follicular helper (Tfh)-like features at protein and RNA level. When virus-specific Th1 cells were sorted according to T-bet-ZsGreen reporter expression intensity, adoptively transferred, and rechallenged by infecting the host animals with the chronic LCMV Clone 13 strain, they maintained quantitative differences in T-bet reporter and IFN-γ expression levels. The progeny of the former T-bet<sup>low</sup> cells still included a subpopulation with a mild Tfh-associated phenotype. Independent of their past and present T-bet expression level, all virus-reactive CD4<sup>+</sup> T cells acquired phenotypic signs of exhaustion as characterized by upregulation of PD-1, LAG3, and TOX and vast absence of effector cytokine co-expression in the chronic infection environment. Collectively, our findings highlight the heterogeneity of T-bet<sup>+</sup> antiviral CD4<sup>+</sup> T cells and the stability of quantitative differences in individual virus-specific CD4<sup>+</sup> T cells during chronic viral infection.

Institutions

Publication Details

Journal
Frontiers in Immunology
Published
2025-12-19
DOI
https://doi.org/10.3389/fimmu.2025.1716422
Primary Topic
Viral Infections and Outbreaks Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Stable characteristics of intrapopulation heterogeneity in virus-specific Th1 cells during chronic viral challenge infection

Frontiers in Immunology
Viral Infections and Outbreaks Research
article

Stable characteristics of intrapopulation heterogeneity in virus-specific Th1 cells during chronic viral challenge infection

article en

Abstract

Virus-specific CD4<sup>+</sup> T cells typically undergo T helper (Th) 1 differentiation and contribute to a type 1 immune response in infection with lymphocytic choriomeningitis virus (LCMV). Using this model pathogen, we performed an in-depth analysis of the quantitative expression stability of the Th1 key transcription factor T-bet. Previously, it was shown that virus-specific Th1 cells arising in acute infections expressed T-bet at distinct intensities and maintained their T-bet expression differences after viral clearance as memory cells for weeks in the steady state. However, it was unclear whether differential T-bet expression was associated with heterogeneity inside the Th1 population and if the quantitative T-bet memory, particularly of those cells expressing T-bet at low levels, could withhold the strong and continuous stimulation present during chronic infection. Using T-bet-ZsGreen reporter mice, virus-specific Th1 cells were characterized phenotypically at protein, RNA, and DNA/chromatin accessibility levels. The Th1 cells arising during acute LCMV Armstrong infection showed a continuous spectrum of T-bet expression, ranging from cells with very high T-bet to cells with low T-bet. Even though the cells with low T-bet expression clearly possessed Th1 characteristics, they additionally showed certain T follicular helper (Tfh)-like features at protein and RNA level. When virus-specific Th1 cells were sorted according to T-bet-ZsGreen reporter expression intensity, adoptively transferred, and rechallenged by infecting the host animals with the chronic LCMV Clone 13 strain, they maintained quantitative differences in T-bet reporter and IFN-γ expression levels. The progeny of the former T-bet<sup>low</sup> cells still included a subpopulation with a mild Tfh-associated phenotype. Independent of their past and present T-bet expression level, all virus-reactive CD4<sup>+</sup> T cells acquired phenotypic signs of exhaustion as characterized by upregulation of PD-1, LAG3, and TOX and vast absence of effector cytokine co-expression in the chronic infection environment. Collectively, our findings highlight the heterogeneity of T-bet<sup>+</sup> antiviral CD4<sup>+</sup> T cells and the stability of quantitative differences in individual virus-specific CD4<sup>+</sup> T cells during chronic viral infection.

Frontiers in ImmunologyVol. 16
Leibniz Association (DE), Humboldt-Universität zu Berlin (DE), German Center for Pediatric and Adolescent Rheumatology (DE), German Rheumatism Research Centre (DE), National Institute of Allergy and Infectious Diseases (US)
International Max Planck Research School for Environmental, Cellular and Molecular Microbiology, Deutsche Forschungsgemeinschaft, Volkswagen Foundation, Dr. Rolf M. Schwiete Stiftung, National Institutes of Health, European Regional Development Fund, National Institute of Allergy and Infectious Diseases, NHLBI Division of Intramural Research
Openalex Percentile: Top 32%
Viral Infections and Outbreaks Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.