Systemic inflammatory response syndrome (SIRS) carries high ICU morbidity, sepsis lacks standardized therapies, and stage-variable natural killer (NK) cell function in SIRS remains poorly defined due to insufficient single-cell evidence. Herein, we analyzed public LPS-induced SIRS peripheral blood single-cell RNA sequencing (scRNA-seq) data (GSE212092) via multiple bioinformatic algorithms to dissect NK heterogeneity, followed by in vitro functional verification using NK-92 cells with IGF1 stimulation or IGF1R knockdown. We identified distinct cell types and 6 distinct NK subpopulations (C0-C5). Pro-inflammatory C0 and proliferative C2 IGF1R⁺ expanded in early SIRS, whereas stemness-high C3-C5 accumulated during late immunosuppression. MHC-I and CCL5-CCR1 dominated NK-related intercellular crosstalk, and unique transcription regulatory modules existed across NK subpopulations. Functional assays verified IGF1/IGF1R signaling dose-dependently promotes NK inflammatory cytokine release, cytotoxic gene expression, cell viability and target cell killing. These findings delineate dynamic NK subpopulation remodeling during SIRS and validate IGF1/IGF1R as a potential key pathway governing NK effector function, providing a transcriptomic basis for identifying candidate biomarkers and potential therapeutic targets in SIRS.
Hong-Ling Jia, Hang Zhao, Yan Li et al.· Clinical and Experimental Me...· 0 citations
This study identified UBE2C+ proliferative tumor cells as a functionally relevant malignant subpopulation in SCLC and links this state to immune-stromal communication networks within the tumor microenvironment and provides a systems-level framework for investigating the cancer-immunity regulome in SCLC.
Hong-Ling Jia, Yongxuan An, Bing Chen et al.· Frontiers in Immunology· 0 citations
By critically appraising its substrate diversity and functional versatility, it is proposed that FBXO11 be regarded not merely as a straightforward therapeutic target, but rather as a prognostic biomarker and a context‐specific vulnerability that necessitates precision medicine strategies for effective clinical intervention.
Yuqi Zhang, Changyi Fan, Shiheng Chen et al.· Cancer Science· 0 citations
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