Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA.
Center for Genomic Medicine, Simches Research Building-CPZN 5.250, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA, 02114, USA.
Diabetologia. 2017 Sep;60(9):1648-1655. doi: 10.1007/s00125-017-4335-y. Epub 2017 Aug 3.
Despite its widespread use as the first-line agent for the treatment of type 2 diabetes, it has become clear that metformin does not work optimally for everyone. Elucidating who are the likely metformin responders and non-responders is hampered by our limited knowledge of its precise molecular mechanism of action. One approach to achieve the related goals of stratifying patients into response subgroups and identifying the molecular targets of metformin involves the deployment of agnostic genome-wide approaches in cohorts of appropriate size to attain sufficient statistical power. While candidate gene studies have shed some light on the role of genetic variation in influencing metformin response, genome-wide association studies are beginning to provide additional insight that is unconstrained by prior knowledge. To fully realise their potential, much larger samples need to be assembled via international collaboration, preferably involving the academic community, government and the pharmaceutical industry.
尽管二甲双胍被广泛用作治疗 2 型糖尿病的一线药物,但很明显,它并非对每个人都能发挥最佳效果。由于我们对其确切的分子作用机制了解有限,因此阐明谁是可能的二甲双胍应答者和非应答者受到阻碍。实现将患者分层为应答亚组和确定二甲双胍的分子靶标的相关目标的一种方法涉及在适当大小的队列中部署无偏基因组范围的方法以获得足够的统计能力。虽然候选基因研究揭示了遗传变异在影响二甲双胍反应中的作用,但全基因组关联研究开始提供不受先验知识限制的额外见解。为了充分发挥它们的潜力,需要通过国际合作,最好是涉及学术界、政府和制药行业,来组建更大的样本。