Timmons James A, Sundberg Carl Johan
Center for Genomics and Bioinformatics, Karolinska Institutet, Stockholm, Sweden.
IUBMB Life. 2006 Jan;58(1):15-24. doi: 10.1080/15216540500507390.
Regular aerobic exercise reduces risk of cardiovascular disease far more effectively than any pharmaceutical agent. The precise mechanisms contributing to these health benefits are unknown. Currently, much of our knowledge regarding the molecular regulators of skeletal muscle phenotype remodeling in response to muscle activity is derived from rodent models. Over the past five years large scale gene analysis has emerged as a promising research strategy for studying complex processes in human tissue. This review will principally discuss the application of large scale gene expression profiling to study the molecular responses to longitudinal aerobic exercise training studies in humans. The focus is largely on the Affymetrix technology platform, as this can be most easily compared, in a quantitative manner, across laboratories. Indeed, there are compelling reasons to adopt a common standard to obtain maximum synergy across complex, expensive and invasive human studies. Direct comparisons between array data sets can be made, and these should be considered novel 'experiments', often providing great insight into disease mechanisms. Weaknesses in existing human studies are identified and future objectives are discussed.
定期有氧运动比任何药物更有效地降低心血管疾病风险。促成这些健康益处的确切机制尚不清楚。目前，我们关于骨骼肌表型重塑对肌肉活动反应的分子调节因子的许多知识都来自啮齿动物模型。在过去五年中，大规模基因分析已成为研究人体组织复杂过程的一种有前景的研究策略。本综述将主要讨论大规模基因表达谱在研究人类纵向有氧运动训练研究的分子反应中的应用。重点主要放在Affymetrix技术平台上，因为以定量方式在不同实验室之间比较该平台最为容易。事实上，采用共同标准以在复杂、昂贵且有创的人体研究中获得最大协同效应有令人信服的理由。可以对阵列数据集进行直接比较，这些应被视为新颖的“实验”，通常能深入了解疾病机制。文中指出了现有人体研究的不足之处并讨论了未来目标。
