# Distinct landscapes of T-cell immunity and TCR repertoire between sepsis and pre-septic high-risk states

**Authors:** Yina Ma, Shixiong Shen, Wenjie Zheng, Mingyang Liu, Xiaobao Yang, Yuedan Wang, Xin Zhang

PMC · DOI: 10.3389/fimmu.2026.1754842 · Frontiers in Immunology · 2026-03-03

## TL;DR

This study compares T-cell immunity and TCR diversity in sepsis patients and those at high risk of urosepsis, revealing distinct immune profiles that could inform early intervention strategies.

## Contribution

The study provides the first in-depth characterization of T-cell subsets and TCR repertoires in high-risk urosepsis and sepsis patients using single-cell transcriptomics.

## Key findings

- Septic patients show signs of T cell exhaustion, while high-risk individuals exhibit enhanced adaptive immunity.
- A distinct CD4+ T cell subset (C10_Tn_IFN) and key proteins (IFIT3, RSAD2) involved in interferon signaling were identified.
- Sepsis patients have reduced TCR diversity and altered CDR3 and VJ gene usage in CD4+ and CD8+ T cells.

## Abstract

Sepsis remains a leading cause of in-hospital mortality worldwide. In recognition of its substantial morbidity and mortality even with optimal treatment, the World Health Organization has declared sepsis a global health priority. The immunoregulatory mechanisms in sepsis are highly complex, and the immune status during the disease course is closely associated with both short- and long-term patient outcomes, making early recognition and intervention critical for survival. While single-cell RNA sequencing (scRNA-seq) has been widely applied to decipher innate immune responses in sepsis patients, in-depth characterization of T lymphocyte subsets remains relatively limited. Urosepsis is a common complication of urinary tract stones. Although clinical studies have identified several risk factors for urosepsis, the immunological alterations in high-risk individuals are poorly understood. Here, we employed single-cell transcriptomics to investigate T-cell immunological changes in high-risk urosepsis patients and septic patients, complemented by single-cell T cell receptor (TCR) sequencing (scTCR-seq) to profile the peripheral TCR repertoire in these two pathological states. Our analysis revealed that, compared to non-high-risk controls, septic patients exhibited features of T cell exhaustion across multiple subsets, whereas high-risk individuals showed signs of enhanced T cell-mediated adaptive immunity. Notably, we identified a distinct CD4+ T cell subset (C10_Tn_IFN) and, through protein-protein interaction analysis, uncovered key protein targets (IFIT3, RSAD2) potentially regulating its interferon signaling pathway. Furthermore, we observed significantly reduced TCR diversity accompanied by altered CDR3 sequence characteristics and VJ gene usage frequencies in several CD4+ and CD8+ T cell subsets from sepsis patients. These findings provide important insights into the relationship between T cell functionality and the severity of infectious inflammation.

## Linked entities

- **Genes:** IFIT3 (interferon induced protein with tetratricopeptide repeats 3) [NCBI Gene 3437], RSAD2 (radical S-adenosyl methionine domain containing 2) [NCBI Gene 91543]

## Full-text entities

- **Genes:** IFIT3 (interferon induced protein with tetratricopeptide repeats 3) [NCBI Gene 3437] {aka CIG-49, GARG-49, IFI60, IFIT4, IRG2, ISG60}, TRBV20OR9-2 (T cell receptor beta variable 20/OR9-2 (non-functional)) [NCBI Gene 6962] {aka CDR3, TCRBV20S2, TCRBV2O, TCRBV2S2O}, RSAD2 (radical S-adenosyl methionine domain containing 2) [NCBI Gene 91543] {aka SAND, cig33, cig5, vig1}, CD8A (CD8 subunit alpha) [NCBI Gene 925] {aka CD8, CD8alpha, IMD116, Leu2, p32}, CD4 (CD4 molecule) [NCBI Gene 920] {aka CD4mut, IMD79, Leu-3, OKT4D, T4}
- **Diseases:** infectious inflammation (MESH:D007249), Sepsis (MESH:D018805), septic (MESH:D001170), urinary tract stones (MESH:D014545)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12992028/full.md

## References

84 references — full list in the complete paper: https://tomesphere.com/paper/PMC12992028/full.md

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Source: https://tomesphere.com/paper/PMC12992028