Inference and analysis of cell-cell communication of post-sepsis skeletal muscle based on single-cell RNA-seq

被引:0
|
作者
Tao, Yanyan [1 ]
Song, Lijie [1 ]
Xiao, Heng [1 ]
Liu, Cheng [2 ]
机构
[1] Bengbu Med Coll, Dept Emergency Med, Affiliated Hosp 1, Bengbu 233004, Anhui, Peoples R China
[2] Bengbu Med Coll, Inst Emergency & Crit Care Med, ICU, Affiliated Hosp 1, Bengbu 233004, Anhui, Peoples R China
来源
HUMAN GENE | 2023年 / 38卷
关键词
sepsis; Skeletal muscle; Single-cell transcriptomics sequencing; Cell-cell communication; Dendritic cells; INTERCELLULAR-ADHESION MOLECULE-2; HYPERMETABOLISM; MECHANISMS; CEACAM1; TISSUE;
D O I
10.1016/j.humgen.2023.201236
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Sepsis is a severe inflammatory response syndrome caused by infection, which remains a leading cause of morbidity and mortality in the intensive care unit(ICU) patients. Muscle dysfunction is a crucial feature of sepsis. In this study, we employed single-cell transcriptomics sequencing (scRNA-seq) to analyze cell-cell communications in skeletal muscle, aiming to gain a better understanding of the mechanisms involved in sepsis. The results revealed a significant reduction in both the number and strength of cellular communications in sepsis, along with alterations in several pathways, particularly in dendritic cells (DCs). Notably, three pathways-Tnf-Tnfrsf1a, ltgb2-lcam2, and Cd209a-Ceacam1-were significantly changed in sepsis. Our study offers a novel perspective on the mechanisms of muscle dysregulation and clinical treatment for sepsis.
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页数:7
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