Oller Moreno Sergio, Cominetti Ornella, Núñez Galindo Antonio, Irincheeva Irina, Corthésy John, Astrup Arne, Saris Wim H M, Hager Jörg, Kussmann Martin, Dayon Loïc
Systems Nutrition, Metabonomics and Proteomics, Nestlé Institute of Health Sciences, Lausanne, Switzerland.
Signal and Information Processing for Sensing Systems, Institute for Bioengineering of Catalonia, Barcelona, Spain.
Proteomics Clin Appl. 2018 Jan;12(1). doi: 10.1002/prca.201600150. Epub 2017 May 15.
The nutritional intervention program "DiOGenes" focuses on how obesity can be prevented and treated from a dietary perspective. We generated differential plasma proteome profiles in the DiOGenes cohort to identify proteins associated with weight loss and maintenance and explore their relation to body mass index, fat mass, insulin resistance, and sensitivity.
Relative protein quantification was obtained at baseline and after combined weight loss/maintenance phases using isobaric tagging and MS/MS. A Welch t-test determined proteins differentially present after intervention. Protein relationships with clinical variables were explored using univariate linear models, considering collection center, gender and age as confounding factors.
Four hundred and seventy three subjects were measured at baseline and end of the intervention; 39 proteins were longitudinally differential. Proteins with largest changes were sex hormone-binding globulin, adiponectin, C-reactive protein, calprotectin, serum amyloid A, and proteoglycan 4 (PRG4), whose association with obesity and weight loss is known. We identified new putative biomarkers for weight loss/maintenance. Correlation between PRG4 and proline-rich acidic protein 1 variation and Matsuda insulin sensitivity increment was showed.
MS-based proteomic analysis of a large cohort of non-diabetic overweight and obese individuals concomitantly identified known and novel proteins associated with weight loss and maintenance.
营养干预项目“DiOGenes”关注如何从饮食角度预防和治疗肥胖症。我们在DiOGenes队列中生成了差异血浆蛋白质组图谱,以识别与体重减轻和维持相关的蛋白质,并探讨它们与体重指数、脂肪量、胰岛素抵抗和敏感性之间的关系。
在基线以及体重减轻/维持联合阶段后,使用等压标记和串联质谱法进行相对蛋白质定量分析。采用韦尔奇t检验确定干预后差异存在的蛋白质。使用单变量线性模型探索蛋白质与临床变量之间的关系,将收集中心、性别和年龄视为混杂因素。
在基线和干预结束时对473名受试者进行了测量;39种蛋白质存在纵向差异。变化最大的蛋白质是性激素结合球蛋白、脂联素、C反应蛋白、钙卫蛋白、血清淀粉样蛋白A和蛋白聚糖4(PRG4),它们与肥胖和体重减轻的关联已为人所知。我们确定了用于体重减轻/维持的新的假定生物标志物。显示了PRG4与富含脯氨酸的酸性蛋白1变异和松田胰岛素敏感性增加之间的相关性。
对一大群非糖尿病超重和肥胖个体进行基于质谱的蛋白质组学分析,同时鉴定出了与体重减轻和维持相关的已知和新蛋白质。