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Combined single-cell transcriptome and immune repertoire analysis reveals hepatic and renal immune injury by heat stroke
Min Zhang, Bin Wang, Ding Sun, Xizhao Chen, Yena Zhou, Jin Yao, Liwen Du, Zehao Zhang, Hao Li, Zeyu Qu, Lu Chen, Qing Luo, Jie Zhang, Xinye Jin, Xiaowei Cheng, Jingxue Niu, Qinrui Xing, Xuezeng Tan, Tao Wang, Jie Liu, Lei Li, Qing Song, Xiangmei Chen, Yizhi Chen
Min Zhang, Bin Wang, Ding Sun, Xizhao Chen, Yena Zhou, Jin Yao, Liwen Du, Zehao Zhang, Hao Li, Zeyu Qu, Lu Chen, Qing Luo, Jie Zhang, Xinye Jin, Xiaowei Cheng, Jingxue Niu, Qinrui Xing, Xuezeng Tan, Tao Wang, Jie Liu, Lei Li, Qing Song, Xiangmei Chen, Yizhi Chen
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Research Article Inflammation Nephrology

Combined single-cell transcriptome and immune repertoire analysis reveals hepatic and renal immune injury by heat stroke

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Abstract

Heat stroke (HS) is the most severe heat-related emergency, and its pathophysiology remains largely unknown, especially for exertional HS (EHS), which affects younger populations, athletes, and manual workers. Herein, we performed single-cell-transcriptomics, T cell receptor sequencing, and flow cytometry of PBMCs from 9 healthy control participants, 9 patients with heat exhaustion, and 9 patients with EHS to explore complex immunological responses associated with HS pathobiology. We showcased that granzyme-positive T cells and CD56dim NK cells with high cytotoxicity features and IL-1B+NLRP3+ monocytes with high inflammation and pyroptosis scores were enriched in HS, while the CD161+ T cells with innate immune-like, low cytotoxicity, and clonal expansion features were reduced in HS. Importantly, elevated granzyme-positive T and NK cells might interact with monocytes to induce pyroptosis of hepatic and renal cells and target organ injuries, and blocking the NLRP3 inflammasome pathway prior to the induction could alleviate organ injury in HS. This study offers deeper insights into the pathogenesis of HS, supporting the development of optimal treatment strategies.

Authors

Min Zhang, Bin Wang, Ding Sun, Xizhao Chen, Yena Zhou, Jin Yao, Liwen Du, Zehao Zhang, Hao Li, Zeyu Qu, Lu Chen, Qing Luo, Jie Zhang, Xinye Jin, Xiaowei Cheng, Jingxue Niu, Qinrui Xing, Xuezeng Tan, Tao Wang, Jie Liu, Lei Li, Qing Song, Xiangmei Chen, Yizhi Chen

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Figure 2

Characterization of HS-associated CD8+ T cells with high cytotoxic effector features and clonal expansion programs.

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Characterization of HS-associated CD8+ T cells with high cytotoxic effec...
(A) The subclustering of CD8+ T cells identified 6 cell subclusters. (B) Dot plot illustrating the scaled expression of representative marker genes across the 6 CD8+ T cell subclusters. (C) Pie diagrams displaying the proportion of sample group contributions per annotated CD8+ T cell subclusters. (D) Relative contribution of the 6 CD8+ cell subclusters in different sample groups. P values were obtained using the 1-way Kruskal-Wallis test with post hoc Dunn’s test. (E) Frequencies of HS-associated CD8+ T cells as determined by flow cytometry. P values were obtained using the 1-way Kruskal-Wallis test with post hoc Dunn’s test. (F) Dot plot showing the expression of cytotoxic effector features in CD8+ T cell subtypes derived from the HC, HE, and HS groups. (G) Bar plot showing the percentage distribution of TCR clonality types among CD8+ T cell subsets. (H) Heatmap illustrating the overlap of TCR clonality types among CD8+ T cell subsets. (I) Schematic showing the differentiation trajectory among each CD8+ T cell subset. (J) Heatmap displaying dynamic changes in gene expression along the pseudotime of CD8+ T cell differentiation trajectory.

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