Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA.
Institute for Aging Research, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA.
Aging Cell. 2020 Sep;19(9):e13193. doi: 10.1111/acel.13193. Epub 2020 Aug 6.
Frailty is a state of decreased physiological reserve and increased vulnerability to adverse outcomes in aging, and is characterized by dysregulation across various biological pathways. Frailty may manifest biologically as alteration in protein expression, possibly regulated at genetic, transcriptional and epigenetic levels. In this study, we examined the proteomic profile associated with frailty defined by an established cumulative frailty index (FI). Using the SomaScan assay, 4265 proteins were measured in plasma, of which 55 were positively associated and 88 were negatively associated with the FI. The proteins most strongly associated with frailty were fatty acid-binding proteins, including fatty acid-binding protein (FABP) (p = 1.96 × 10 ) and FABPA (p = 8.10 × 10 ), leptin (p = 1.43 × 10 ), and ANTR2 (p = 7.95 × 10 ). Pathway analysis with the top 143 frailty-associated proteins revealed enrichment for proteins in pathways related to lipid metabolism, musculoskeletal development and function, cell-to-cell signaling and interaction, cellular assembly, and organization. Frailty prediction model constructed with elastic net regression utilizing 110 proteins demonstrated a correlation between predicted frailty and observed frailty (r = 0.57, p < 2.2 × 10 ). Predicted frailty was also more strongly correlated with chronological age (r = 0.54, p < 2.2 × 10 ) than observed frailty (r = 0.37, p = 1.2 × 10 ). This study identified novel proteins and pathways related to frailty that may offer improved frailty phenotyping and prediction.
虚弱是一种生理储备减少和对衰老不良后果易感性增加的状态,其特征是各种生物途径的失调。虚弱可能在生物学上表现为蛋白质表达的改变,可能受遗传、转录和表观遗传水平的调节。在这项研究中,我们检查了与通过既定累积虚弱指数 (FI) 定义的虚弱相关的蛋白质组学特征。使用 SomaScan 测定法,测量了血浆中的 4265 种蛋白质,其中 55 种与 FI 呈正相关,88 种与 FI 呈负相关。与虚弱最密切相关的蛋白质是脂肪酸结合蛋白,包括脂肪酸结合蛋白 (FABP) (p = 1.96 × 10 ) 和 FABPA (p = 8.10 × 10 )、瘦素 (p = 1.43 × 10 ) 和 ANTR2 (p = 7.95 × 10 )。使用前 143 种与虚弱相关的蛋白质进行途径分析,发现与脂质代谢、肌肉骨骼发育和功能、细胞间信号和相互作用、细胞组装和组织相关的蛋白质途径丰富。利用弹性网络回归构建的包含 110 种蛋白质的虚弱预测模型显示,预测的虚弱与观察到的虚弱之间存在相关性(r = 0.57,p < 2.2 × 10 )。与观察到的虚弱相比,预测的虚弱与实际年龄(r = 0.54,p < 2.2 × 10 )的相关性更强(r = 0.37,p = 1.2 × 10 )。这项研究确定了与虚弱相关的新蛋白质和途径,它们可能提供更好的虚弱表型和预测。