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缺血性脑卒中后单核细胞、中性粒细胞和全血转录组动态变化。

Monocyte, neutrophil, and whole blood transcriptome dynamics following ischemic stroke.

机构信息

Department of Neurology and M.I.N.D, Institute, M.I.N.D. Institute Bioscience Labs, School of Medicine, University of California at Davis, 2805 50th St, Room 2434, Sacramento, CA, 95817, USA.

Division of Neurology, Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta, 87 Avenue & 114 Street, Edmonton, AB, T6G 2J7, Canada.

出版信息

BMC Med. 2023 Feb 20;21(1):65. doi: 10.1186/s12916-023-02766-1.

Abstract

BACKGROUND

After ischemic stroke (IS), peripheral leukocytes infiltrate the damaged region and modulate the response to injury. Peripheral blood cells display distinctive gene expression signatures post-IS and these transcriptional programs reflect changes in immune responses to IS. Dissecting the temporal dynamics of gene expression after IS improves our understanding of immune and clotting responses at the molecular and cellular level that are involved in acute brain injury and may assist with time-targeted, cell-specific therapy.

METHODS

The transcriptomic profiles from peripheral monocytes, neutrophils, and whole blood from 38 ischemic stroke patients and 18 controls were analyzed with RNA-seq as a function of time and etiology after stroke. Differential expression analyses were performed at 0-24 h, 24-48 h, and >48 h following stroke.

RESULTS

Unique patterns of temporal gene expression and pathways were distinguished for monocytes, neutrophils, and whole blood with enrichment of interleukin signaling pathways for different time points and stroke etiologies. Compared to control subjects, gene expression was generally upregulated in neutrophils and generally downregulated in monocytes over all times for cardioembolic, large vessel, and small vessel strokes. Self-organizing maps identified gene clusters with similar trajectories of gene expression over time for different stroke causes and sample types. Weighted Gene Co-expression Network Analyses identified modules of co-expressed genes that significantly varied with time after stroke and included hub genes of immunoglobulin genes in whole blood.

CONCLUSIONS

Altogether, the identified genes and pathways are critical for understanding how the immune and clotting systems change over time after stroke. This study identifies potential time- and cell-specific biomarkers and treatment targets.

摘要

背景

缺血性中风(IS)后,外周白细胞浸润损伤区域,并调节对损伤的反应。外周血细胞在 IS 后表现出独特的基因表达特征,这些转录程序反映了对 IS 的免疫反应变化。剖析 IS 后基因表达的时间动态可以提高我们对分子和细胞水平上参与急性脑损伤的免疫和凝血反应的理解,并可能有助于针对时间的、细胞特异性的治疗。

方法

对 38 名缺血性中风患者和 18 名对照者的外周单核细胞、中性粒细胞和全血的转录组谱进行了 RNA-seq 分析,作为中风后时间和病因的函数。在中风后 0-24 h、24-48 h 和 >48 h 进行差异表达分析。

结果

单核细胞、中性粒细胞和全血的时间基因表达和途径具有独特的模式,不同时间点和中风病因富集了白细胞介素信号通路。与对照组相比,心源性栓塞、大血管和小血管中风的中性粒细胞在所有时间点的基因表达普遍上调,而单核细胞的基因表达普遍下调。自组织映射确定了不同中风原因和样本类型的基因表达具有相似时间轨迹的基因簇。加权基因共表达网络分析确定了与中风后时间显著变化相关的共表达基因模块,包括全血中免疫球蛋白基因的枢纽基因。

结论

总之,鉴定出的基因和途径对于理解中风后免疫和凝血系统随时间的变化至关重要。本研究确定了潜在的时间和细胞特异性生物标志物和治疗靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84ba/9942321/6f5819ce5f2c/12916_2023_2766_Fig1_HTML.jpg

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