Zhong Wen, Edfors Fredrik, Gummesson Anders, Bergström Göran, Fagerberg Linn, Uhlén Mathias
Science for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden.
Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden.
Nat Commun. 2021 May 3;12(1):2493. doi: 10.1038/s41467-021-22767-z.
The need for precision medicine approaches to monitor health and disease makes it important to develop sensitive and accurate assays for proteome profiles in blood. Here, we describe an approach for plasma profiling based on proximity extension assay combined with next generation sequencing. First, we analyze the variability of plasma profiles between and within healthy individuals in a longitudinal wellness study, including the influence of genetic variations on plasma levels. Second, we follow patients newly diagnosed with type 2 diabetes before and during therapeutic intervention using plasma proteome profiling. The studies show that healthy individuals have a unique and stable proteome profile and indicate that a panel of proteins could potentially be used for early diagnosis of diabetes, including stratification of patients with regards to response to metformin treatment. Although validation in larger cohorts is needed, the analysis demonstrates the usefulness of comprehensive plasma profiling for precision medicine efforts.
精准医学方法对于监测健康和疾病至关重要,因此开发用于血液蛋白质组图谱的灵敏且准确的检测方法具有重要意义。在此,我们描述了一种基于邻近延伸分析结合下一代测序的血浆分析方法。首先,我们在一项纵向健康研究中分析了健康个体之间以及个体内部血浆图谱的变异性,包括基因变异对血浆水平的影响。其次,我们使用血浆蛋白质组分析对新诊断的2型糖尿病患者在治疗干预之前和期间进行跟踪。研究表明,健康个体具有独特且稳定的蛋白质组图谱,并表明一组蛋白质可能可用于糖尿病的早期诊断,包括对二甲双胍治疗反应的患者分层。尽管需要在更大的队列中进行验证,但该分析证明了全面血浆分析对于精准医学研究的有用性。