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Sci Transl Med:精准医疗得益于动物模型

摘要 : 2016年8月10日,国际顶尖学术期刊《Science》旗下《 Science Translational Medicine》杂志上在线发表了美国加州大学Kent Lloyd研究员的一篇研究论文,Kent Lloyd和同事在本期《社论》文章中披露,在实行美国国立卫生研究院的精准医疗计划(PMI)1年之后,这一大型项目仍然得益于纳入人类疾病动物模型的实验研究。

 2016年8月10日,国际顶尖学术期刊《Science》旗下《 Science Translational Medicine》杂志上在线发表了美国加州大学Kent Lloyd研究员的一篇研究论文,Kent Lloyd和同事在本期《社论》文章中披露,在实行美国国立卫生研究院的精准医疗计划(PMI)1年之后,这一大型项目仍然得益于纳入人类疾病动物模型的实验研究。PMI希望促使个体化用药新时代的来临,在这个时代中,一个人自身的基因特征连同个人接触的环境和行为都能被用来更有效地进行靶向治疗。Lloyd和同事写道,到目前为止,从动物模型中累积的海量基因和分子数据,连同用于策划、整合和绘制这些数据的程序,都证明会对从事PMI的研究人员有用。他们提出,动物模型为深入了解接触环境所带来的影响,或基因变异株的广泛影响与人类疾病的关系提供了一个极佳的机会。


Animal-based studies will be essential for precision medicine


At an inspiring White House ceremony on 25 February 2016, President Obama celebrated the 1-year anniversary of the launch of the Precision Medicine Initiative (PMI), which promises to usher in a transformation of medical practice. A collaborative effort between government, academia, and industry, directed and led by the National Institutes of Health (NIH), the PMI envisages invoking an individual’s molecular profile and other phenotypic descriptors combined with environmental exposures and life-style behaviors to guide therapies more targeted and cost-effective than current “one-size-fits-all” strategies. The extent to which massive amounts of genomic and other data can expose statistically relevant and clinically actionable results will be tested in a planned >1 million–person cohort. Although we very much support this audacious plan, it is important to note that no matter how large a cohort, statistical power will never be sufficient to address by data analysis alone every observation that emerges or to drive to mechanism each human finding. In this context, the PMI will benefit greatly from integrative informatics and innovative animal-based research and validation studies that leverage existing networks of biological knowledge to create a new taxonomy of disease and to accelerate the successful incorporation of precision medicine into mainstream clinical practice.

来源: Science Translational Medicine 浏览次数:0


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