Rv2140c is targeted by follicular helper T cells in M.tuberculosis exposed γ Interferon Release Assay negative populations in Uganda and South Africa 2299672

Abstract Introduction Mycobacterium tuberculosis (Mtb) remains a leading cause of death worldwide. IFNγ Release Assay (IGRA) is widely used to diagnose Mtb infection by measuring the IFNγ response to Mtb antigens. However, healthy IGRA- individuals with high Mtb exposure (“resisters”) have shown evidence of infection and make Mtb-specific responses that differ from IGRA+ individuals. Human CD4 T cells are critical in controlling Mtb. IFNγ-expressing Th1 cells are largely believed to be the major protective subset. Resisters’ negative response to IGRA suggests alternative protective mechanisms of CD4 T cells. This study aims to profile the antigen-specific CD4+ T cell responses in Mtb-exposed IGRA- individuals. Methods We performed TCR sequencing on Ugandan resisters and IGRA+ individuals. TCR repertoires were analyzed with GLIPH3 algorithm we recently developed to identify resister-specific TCRs. Mtb antigenic ligands were discovered by a new T cell epitope discovery platform. Antigen-specific CD4+ T cells were then isolated using peptide-MHC multimers covering the discovered antigenic peptide, and characterized by single-cell multi-omics and Flow Cytometry. Results We identified 24 TCR specificity groups uniquely enriched in resisters. Two ligand peptides were decoded from Mtb antigens Rv2140c and ESAT6. In a parallel South African cohort, in IGRA- individuals, we detected T cell responses to ESAT6, the antigen used in IGRA test, and a robust response to Rv2140c. Notably, Rv2140c-specific CD4 T cells were predominantly follicular helper cells (Tfh), which correlated with protection from Mtb in mice, whereas IGRA+ individuals showed primarily Th1 responses. Conclusion We identified a novel Mtb antigen associated with protection, highlighting its potential as vaccine candidate. ESAT6-specific responses in IGRA- individuals confirmed underlying Mtb infection, indicating the limitations of IGRA tests. The predominance of Tfh cells reveals new protective human T cell mechanism against Mtb beyond the classic Th1 response. Funding Source Bill & Melinda Gates Foundation Topic Categories Microbial, Parasitic, and Fungal Immunology (MPF)

Authors

Institutions

Publication Details

Journal
The Journal of Immunology
Published
2026-07-28
DOI
https://doi.org/10.1093/jimmun/vkag141.1194
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Rv2140c is targeted by follicular helper T cells in M.tuberculosis exposed γ Interferon Release Assay negative populations in Uganda and South Africa 2299672

Jingyi Xie, Harriet Mayanja‐Kizza, Gerlinde Obermoser, Rongyu Zhang et al.
The Journal of Immunology
Tuberculosis Research and Epidemiology
article

Rv2140c is targeted by follicular helper T cells in M.tuberculosis exposed γ Interferon Release Assay negative populations in Uganda and South Africa 2299672

Jingyi Xie, Harriet Mayanja‐Kizza, Gerlinde Obermoser, Rongyu Zhang, Abel Kakuru, Azam Mohsin, Mark Davis, Kenneth Musinguzi, Chetan Seshadri, Huang Huang, Holden Maecker, Thomas Scriba, Prasanna Jagannathan, Florian Bach, Ryan Furuichi Fong, Vamsee Mallajosyula, Meng Sun, Deborah Cross, W Henry Boom, James Heath, Fei Gao, Chunlin Wang
article en

Abstract

Abstract Introduction Mycobacterium tuberculosis (Mtb) remains a leading cause of death worldwide. IFNγ Release Assay (IGRA) is widely used to diagnose Mtb infection by measuring the IFNγ response to Mtb antigens. However, healthy IGRA- individuals with high Mtb exposure (“resisters”) have shown evidence of infection and make Mtb-specific responses that differ from IGRA+ individuals. Human CD4 T cells are critical in controlling Mtb. IFNγ-expressing Th1 cells are largely believed to be the major protective subset. Resisters’ negative response to IGRA suggests alternative protective mechanisms of CD4 T cells. This study aims to profile the antigen-specific CD4+ T cell responses in Mtb-exposed IGRA- individuals. Methods We performed TCR sequencing on Ugandan resisters and IGRA+ individuals. TCR repertoires were analyzed with GLIPH3 algorithm we recently developed to identify resister-specific TCRs. Mtb antigenic ligands were discovered by a new T cell epitope discovery platform. Antigen-specific CD4+ T cells were then isolated using peptide-MHC multimers covering the discovered antigenic peptide, and characterized by single-cell multi-omics and Flow Cytometry. Results We identified 24 TCR specificity groups uniquely enriched in resisters. Two ligand peptides were decoded from Mtb antigens Rv2140c and ESAT6. In a parallel South African cohort, in IGRA- individuals, we detected T cell responses to ESAT6, the antigen used in IGRA test, and a robust response to Rv2140c. Notably, Rv2140c-specific CD4 T cells were predominantly follicular helper cells (Tfh), which correlated with protection from Mtb in mice, whereas IGRA+ individuals showed primarily Th1 responses. Conclusion We identified a novel Mtb antigen associated with protection, highlighting its potential as vaccine candidate. ESAT6-specific responses in IGRA- individuals confirmed underlying Mtb infection, indicating the limitations of IGRA tests. The predominance of Tfh cells reveals new protective human T cell mechanism against Mtb beyond the classic Th1 response. Funding Source Bill & Melinda Gates Foundation Topic Categories Microbial, Parasitic, and Fungal Immunology (MPF)

The Journal of ImmunologyVol. 215(Supplement_1)
University of Washington (US), TuBerculosis Vaccine Initiative (NL), Institute for Systems Biology (US), South African Tuberculosis Vaccine Initiative (ZA), Infectious Diseases Research Collaboration (UG), Case Western Reserve University (US), Makerere University (UG), Stanford University (US)
Good health and well-being
Openalex Percentile: Top 9%
Tuberculosis Research and Epidemiology
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.