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大规模流行病学研究中的全血基因表达谱:它们能说明什么?

Whole-Blood Gene Expression Profiles in Large-Scale Epidemiological Studies: What Do They Tell?

作者信息

Olsen Karina Standahl, Skeie Guri, Lund Eiliv

机构信息

Department of Community Medicine, UiT Arctic University of Tromsø, 9037 Tromsø, Norway.

出版信息

Curr Nutr Rep. 2015;4(4):377-386. doi: 10.1007/s13668-015-0143-5. Epub 2015 Oct 8.

Abstract

In nutrigenomics, gene expression profiling is used to investigate transcriptional mechanisms associated with nutrients and diet. Blood samples collected in the framework of dietary interventions and epidemiological studies allow the use of humans as the model system, as opposed to using cell lines or animal models. Here, we review recent publications in the field of gene expression profiling, based on a systematic literature search focusing on studies from the last 5 years and including studies that investigated either single nutrients, foods, food groups, or dietary patterns. Findings highlight the role of inflammatory processes as key mediators of the association between diet and disease and point to the relevance of using blood as the target tissue in nutrigenomics. However, recurring challenges include study design issues, practical and statistical challenges, and biological interpretation of the results. Many of the published studies have small sample size, and given the nature of gene expression data, their conclusions have limited impact. These challenges should be addressed by future nutrigenomics studies in order to increase their relevance and validity.

摘要

在营养基因组学中,基因表达谱分析用于研究与营养素和饮食相关的转录机制。在饮食干预和流行病学研究框架下采集的血液样本使得能够将人类用作模型系统,这与使用细胞系或动物模型不同。在此,我们基于系统的文献检索对基因表达谱分析领域的近期出版物进行综述,检索重点为过去5年的研究,并纳入了那些研究单一营养素、食物、食物类别或饮食模式的研究。研究结果突出了炎症过程作为饮食与疾病关联的关键介质的作用,并指出在营养基因组学中使用血液作为靶组织的相关性。然而,反复出现的挑战包括研究设计问题、实践和统计挑战以及结果的生物学解释。许多已发表的研究样本量较小,鉴于基因表达数据的性质,其结论的影响力有限。未来的营养基因组学研究应解决这些挑战,以提高其相关性和有效性。

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