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白细胞计数的变化驱动全血中转录性中风生物标志物的差异表达。

Shifts in Leukocyte Counts Drive the Differential Expression of Transcriptional Stroke Biomarkers in Whole Blood.

机构信息

School of Nursing, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH, 44106-4904, USA.

Department of Biology, Eberly College of Arts and Sciences, West Virginia University, Morgantown, WV, USA.

出版信息

Transl Stroke Res. 2019 Feb;10(1):26-35. doi: 10.1007/s12975-018-0623-1. Epub 2018 Mar 17.

Abstract

Our group recently identified a panel of ten genes whose RNA expression levels in whole blood have utility for detection of stroke. The purpose of this study was to determine the mechanisms by which these genes become differentially expressed during stroke pathology. First, we assessed the transcriptional distribution of the ten genes across the peripheral immune system by measuring their expression levels on isolated neutrophils, monocytes, B-lymphocytes, CD-4+ T-lymphocytes, CD-8+ T-lymphocytes, and NK-cells generated from the blood of healthy donors (n = 3). Then, we examined the relationship between the whole-blood expression levels of the ten genes and white blood cell counts in a cohort of acute ischemic stroke patients (n = 36) and acute stroke mimics (n = 15) recruited at emergency department admission. All ten genes displayed strong patterns of lineage-specific expression in our analysis of isolated leukocytes, and their whole-blood expression levels were correlated with white blood cell differential across the total patient population, suggesting that many of them are likely differentially expressed in whole blood during stroke as an artifact of stroke-induced shifts in leukocyte counts. Specifically, factor analysis inferred that over 50% of the collective variance in their whole-blood expression levels across the patient population was driven by underlying variance in white blood cell counts alone. However, the cumulative expression levels of the ten genes displayed a superior ability to discriminate between stroke patients and stroke mimics relative to white blood cell differential, suggesting that additional less prominent factors influence their expression levels which add to their diagnostic utility. These findings not only provide insight regarding this particular panel of ten genes, but also into the results of prior stroke transcriptomics studies performed in whole blood.

摘要

我们的研究小组最近确定了一组十个基因,其在全血中的 RNA 表达水平可用于检测中风。本研究的目的是确定这些基因在中风病理过程中差异表达的机制。首先,我们通过测量来自健康供体血液的分离中性粒细胞、单核细胞、B 淋巴细胞、CD4+T 淋巴细胞、CD8+T 淋巴细胞和 NK 细胞中这十个基因的表达水平,评估了这十个基因在周围免疫系统中的转录分布(n=3)。然后,我们检查了十个基因在全血中的表达水平与急性缺血性中风患者(n=36)和在急诊科入院时招募的急性中风模拟患者(n=15)的白细胞计数之间的关系。在我们对分离白细胞的分析中,这十个基因都表现出强烈的谱系特异性表达模式,它们在全血中的表达水平与整个患者群体中的白细胞差异相关,这表明其中许多基因在中风期间很可能由于白细胞计数的变化而在全血中差异表达。具体来说,因子分析推断,在整个患者群体中,这十个基因在全血中的表达水平的总体方差中,超过 50%是由白细胞计数的潜在方差驱动的。然而,这十个基因的累积表达水平在区分中风患者和中风模拟患者方面相对于白细胞差异具有更好的区分能力,这表明其他不太明显的因素影响了它们的表达水平,从而增加了它们的诊断效用。这些发现不仅为这十个特定基因提供了深入了解,也为全血中进行的先前中风转录组学研究的结果提供了深入了解。

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