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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 3

Characterization of HS-associated CD4+ T cells with cytotoxic effector features and differentiation trajectory.

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Characterization of HS-associated CD4+ T cells with cytotoxic effector f...
(A) The subclustering of CD4+ T cells identified 6 cell subclusters. (B) Dot plot illustrating the scaled expression of representative marker genes across the 6 CD4+ T cell subclusters. (C) UMAP plot (left) and violin plot (right) showing the expression of cytotoxic effector feature scores across each CD4+ T cell subtype. (D) UMAP plot (left) and violin plot (right) showing the expression of naivety feature scores in each CD4+ T cell subtype. (E) Bar plot displaying the relative contribution of the 6 CD4+ T cell subclusters in different sample groups. P values were obtained using the 1-way Kruskal-Wallis test with post hoc Dunn’s test. (F) Frequencies of HS-associated CD4+ T cells, as determined by flow cytometry. P values were obtained using the 1-way Kruskal-Wallis test with post hoc Dunn’s test. (G) Slingshot plot depicting the differentiation trajectory among each CD4+ T cell subset. (H) Ranking of significantly differentially expressed genes between HS-enriched and HC-enriched CD4+ T cells. (I) GSEA plot illustrating pathways enriched in HS-associated CD4+ T cell clusters compared with HC-associated clusters. NES, normalized enrichment score.

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