精细研究可预测糖尿病发病,并显示治疗的效果。概述:本病例研究是迄今为止最为广泛的个人生物组学系统特征谱,也是第一次在疾病的进程中对分子的变化进行密切监测。研究结果表明,遗传学可与动态分子及生理学数据相结合,从而比常规方法提前识别出疾病的起始,并密切地追踪治疗的效果。这可能导致个体化治疗的发展,并改善患者的健康情况。研究人员对斯坦福大学遗传学家迈克尔·斯奈德的DNA及RNA转录本(DNA的拷贝)进行了测序,并以此生成了他的蛋白质、代谢及抗体水平谱。研究人员对这一特征谱的变化情况进 Fine research predicts the onset of diabetes and shows the effect of treatment. Overview: This case study is by far the most widely characterized system of personal biomes and is the first to closely monitor molecular changes during disease progression. The findings show that genetics can be combined with dynamic molecular and physiologic data to identify the onset of disease earlier than conventional methods and to closely follow treatment outcomes. This can lead to the development of personalized therapies and improve the patient’s health. Researchers sequenced the DNA and RNA transcripts (DNA copies) of Stanford geneticist Michael Snyder and generated his protein, metabolite and antibody level profiles. Researchers on the evolution of this characteristic spectrum into