Department of Public Health, Weill Cornell Medical College, New York, NY 10065, USA.
Transl Res. 2012 Jun;159(6):430-53. doi: 10.1016/j.trsl.2011.12.009. Epub 2012 Jan 15.
In recent years, the biomedical community has witnessed a rapid scientific and technologic evolution after the development and refinement of high-throughput methodologies. Concurrently and consequentially, the scientific perspective has changed from the reductionist approach of meticulously analyzing the fine details of a single component of biology to the "holistic" approach of broadmindedly examining the globally interacting elements of biological systems. The emergence of this new way of thinking has brought about a scientific revolution in which genomics, proteomics, metabolomics, and other "omics" have become the predominant tools by which large amounts of data are amassed, analyzed, and applied to complex questions of biology that were previously unsolvable. This enormous transformation of basic science research and the ensuing plethora of promising data, especially in the realm of human health and disease, have unfortunately not been followed by a parallel increase in the clinical application of this information. On the contrary, the number of new potential drugs in development has been decreasing steadily, suggesting the existence of roadblocks that prevent the translation of promising research into medically relevant therapeutic or diagnostic application. In this article, we will review, in a noninclusive fashion, several recent scientific advancements in the field of translational research, with a specific focus on how they relate to infectious disease. We will also present a current picture of the limitations and challenges that exist for translational research, as well as ways that have been proposed by the National Institutes of Health to improve the state of this field.
近年来,随着高通量方法的发展和完善,生物医学领域见证了快速的科学和技术发展。与此同时,科学视角也发生了变化,从细致分析单个生物学成分的还原论方法转变为广泛研究生物系统全局相互作用元素的“整体论”方法。这种新思维方式的出现带来了一场科学革命,其中基因组学、蛋白质组学、代谢组学和其他“组学”已成为主要工具,用于收集、分析和应用大量数据,解决以前无法解决的生物学复杂问题。基础科学研究的巨大转变以及随之而来的大量有前途的数据,尤其是在人类健康和疾病领域,不幸的是,并没有伴随着这些信息在临床应用方面的平行增加。相反,正在开发的新潜在药物的数量一直在稳步下降,这表明存在阻碍将有前途的研究转化为医学相关治疗或诊断应用的障碍。在本文中,我们将以非排他性的方式回顾转化研究领域的几项最新科学进展,特别关注它们与传染病的关系。我们还将介绍当前转化研究存在的局限性和挑战的现状,以及美国国立卫生研究院提出的改善该领域状况的方法。