Exercise affects the gene expression profiles of human white blood cells
Exercise affects the gene expression profiles of human white blood cells
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DOI：
10.1152/japplphysiol.00066.2006
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发表时间：
2007-01-01
影响因子：
3.3
通讯作者：
Mooren, Frank C.
中科院分区：
文献类型：
--
作者：
Buettner, Petra;Mosig, Sandy;Mooren, Frank C.
白色血细胞（WBC）表达数万种基因，其表达水平受遗传和外部因素的影响。本研究的目的是调查急性运动对白细胞基因表达谱（GEPs）的影响，并确定合适的基因，可作为监测运动和训练负荷的替代标记。5名男性受试者在80%的最大O-2摄取量（V. O-2 max）和60%的V. O-2 max下进行了完全相同的时间类似于2周后的中度跑步机试验（MT）。通过红细胞裂解法分离WBC。GEP使用Affyssin基因芯片技术测量。在缩放、标准化和过滤后，进行基因表达强度的分组比较，并通过真实的时间PCR验证几种测量。我们发现ET后有450个基因上调，150个基因下调（类似于1.5倍的变化; Benjamini-Hochberg校正的ANOVA，P类似于0.05），这些基因与基因本体列表中的“应激反应”和“炎症反应”密切相关。MT后平均表达水平的分析表明，上调和下调的程度是工作量依赖性的。应激（热休克）蛋白HSPA 1A和HSPH 1以及基质金属蛋白酶MMP- 9的基因表现出最显著的增加，而YES 1癌基因（YES 1）和CD 160（BY 55）的减少最强烈。尽管使用了不同的方法学途径，但我们的结果与另一项研究的表达数据的一致性（Connolly PH，Caiozzo VJ，Zaldivar F，Nemet D，Larson J，Hung SP，Heck JD，Hatfield GW，库珀DM.第97章：我的天1461 - 1469，2004）表明，表情指纹是监测运动和训练负荷的有用工具，从而有助于避免与训练相关的健康风险。
White blood cells ( WBCs) express tens of thousands of genes, whose expression levels are modified by genetic and external factors. The purpose of the present study was to investigate the effects of acute exercise on gene expression profiles ( GEPs) of WBCs and to identify suitable genes that may serve as surrogate markers for monitoring exercise and training load. Five male participants performed an exhaustive treadmill test ( ET) at 80% of their maximal O-2 uptake ( V. O-2max) and a moderate treadmill test ( MT) at 60% V. O-2max for exactly the same time similar to 2 wk later. WBCs were isolated by the erythrocyte lysis method. GEPs were measured using the Affymetrix GeneChip technology. After scaling, normalization, and filtering, groupwise comparisons of gene expression intensities were performed, and several measurements were validated by real- time PCR. We found 450 genes upregulated and 150 downregulated ( similar to 1.5- fold change; ANOVA with Benjamini- Hochberg correction, P similar to 0.05) after ET that were closely associated with the gene ontology lists " response to stress" and " inflammatory response". Analysis of mean expression levels after MT showed that the extent of up- and downregulation was workload dependent. The genes for the stress ( heat shock) proteins HSPA1A and HSPH1 and for the matrix metalloproteinase MMP- 9 showed the most prominent increases, whereas the YES1 oncogene ( YES1) and CD160 ( BY55) were most strongly reduced. Despite different methodological approaches used, the consistency of our results with the expression data of another study ( Connolly PH, Caiozzo VJ, Zaldivar F, Nemet D, Larson J, Hung SP, Heck JD, Hatfield GW, Cooper DM. J Appl Physiol 97: 1461 - 1469, 2004) suggests that expression fingerprints are useful tools for monitoring exercise and training loads and thereby help to avoid training- associated health risks.