Belongie Kirstine J, Ferrannini Ele, Johnson Kjell, Andrade-Gordon Patricia, Hansen Michael K, Petrie John R
Cardiovascular and Metabolic Disease Research, Janssen Research & Development, Spring House, Pennsylvania, United States of America.
CNR Institute of Clinical Physiology, Pisa, Italy.
PLoS One. 2017 Aug 28;12(8):e0182932. doi: 10.1371/journal.pone.0182932. eCollection 2017.
A decline in β-cell function is a prerequisite for the development of type 2 diabetes, yet the level of β-cell function in individuals at risk of the condition is rarely measured. This is due, in part, to the fact that current methods for assessing β-cell function are inaccurate, prone to error, labor-intensive, or affected by glucose-lowering therapy. The aim of the current study was to identify novel circulating biomarkers to monitor β-cell function and to identify individuals at high risk of developing β-cell dysfunction. In a nested case-control study from the Relationship between Insulin Sensitivity and Cardiovascular disease (RISC) cohort (n = 1157), proteomics and miRNA profiling were performed on fasting plasma samples from 43 individuals who progressed to impaired glucose tolerance (IGT) and 43 controls who maintained normal glucose tolerance (NGT) over three years. Groups were matched at baseline for age, gender, body mass index (BMI), insulin sensitivity (euglycemic clamp) and β-cell glucose sensitivity (mathematical modeling). Proteomic profiling was performed using the SomaLogic platform (Colorado, USA); miRNA expression was performed using a modified RT-PCR protocol (Regulus Therapeutics, California, USA). Results showed differentially expressed proteins and miRNAs including some with known links to type 2 diabetes, such as adiponectin, but also novel biomarkers and pathways. In cross sectional analysis at year 3, the top differentially expressed biomarkers in people with IGT/ reduced β-cell glucose sensitivity were adiponectin, alpha1-antitrypsin (known to regulate adiponectin levels), endocan, miR-181a, miR-342, and miR-323. At baseline, adiponectin, cathepsin D and NCAM.L1 (proteins expressed by pancreatic β-cells) were significantly lower in those that progressed to IGT. Many of the novel prognostic biomarker candidates were within the epithelial-mesenchymal transition (EMT) pathway: for example, Noggin, DLL4 and miR-181a. Further validation studies are required in additional clinical cohorts and in patients with type 2 diabetes, but these results identify novel pathways and biomarkers that may have utility in monitoring β-cell function and/ or predicting future decline, allowing more targeted efforts to prevent and intercept type 2 diabetes.
β细胞功能下降是2型糖尿病发生的前提条件,然而,很少对有患2型糖尿病风险个体的β细胞功能水平进行检测。部分原因在于,当前评估β细胞功能的方法不准确、易出错、劳动强度大,或受降糖治疗的影响。本研究的目的是识别新型循环生物标志物,以监测β细胞功能,并识别有发生β细胞功能障碍高风险的个体。在一项来自胰岛素敏感性与心血管疾病关系(RISC)队列(n = 1157)的巢式病例对照研究中,对43例在三年中进展为糖耐量受损(IGT)的个体和43例维持正常糖耐量(NGT)的对照个体的空腹血浆样本进行了蛋白质组学和miRNA分析。两组在基线时按年龄、性别、体重指数(BMI)、胰岛素敏感性(正常血糖钳夹)和β细胞葡萄糖敏感性(数学模型)进行匹配。使用SomaLogic平台(美国科罗拉多州)进行蛋白质组分析;使用改良的RT-PCR方案(美国加利福尼亚州Regulus Therapeutics公司)进行miRNA表达分析。结果显示了差异表达的蛋白质和miRNA,包括一些与2型糖尿病有已知联系的物质,如脂联素,还有新型生物标志物和信号通路。在第3年的横断面分析中,IGT/β细胞葡萄糖敏感性降低人群中差异表达最显著的生物标志物是脂联素、α1-抗胰蛋白酶(已知可调节脂联素水平)、内皮糖蛋白、miR-181a、miR-342和miR-323。在基线时,进展为IGT的个体中脂联素、组织蛋白酶D和NCAM.L1(胰腺β细胞表达的蛋白质)显著较低。许多新型预后生物标志物候选物都在内皮-间质转化(EMT)信号通路中:例如,骨形态发生蛋白拮抗剂、Delta样蛋白4和miR-181a。需要在更多临床队列和2型糖尿病患者中进行进一步的验证研究,但这些结果识别出了可能在监测β细胞功能和/或预测未来功能下降方面有用的新型信号通路和生物标志物,从而使预防和干预2型糖尿病的工作更具针对性。