MicroRNA signatures of VO2peak in older adult participants of the Study of Muscle, Mobility and Aging.

Genesio M Karere, Fang-Chi Hsu, Russell T Hepple, Paul M Coen, Steve Cummings, Anne Newman, Nancy W Glynn, Lauren Sparks, Nancy E Lane, Jianzhao Xu, Nathan Wagner, Ge Li, Jeanne Chan, Laura A Cox, Stephen Kritchevsky
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Abstract

Background: Peak oxygen consumption during exercise (VO2peak), is a direct measure of cardiorespiratory fitness (CF), a key indicator of physical function and overall health. However, the molecular changes that underpin VO2peak variation are not clear. Our objective is to understand the miRNA signatures that relate to VO2peak variation, which could provide insights to novel mechanisms that contribute to low VO2peak.

Methods: We used small RNA sequencing to analyze baseline, cross-sectional serum samples from 72 participants (70-91 yrs old). We analyzed samples from individuals with low or high VO2peak (N = 18/group) as well as samples from 36 randomly selected participants spanning the entire spectrum of VO2peak. We used LIMMA analysis package for regression analysis and to identify differentially expressed miRNAs.

Results: We identified 1,055 miRNAs expressed in all serum samples. Expression of 65 miRNAs differed between participants with low and high VO2peak (p < 0.05). After p-value adjustment, expression of 5 miRNAs (miR-1301-3p, -431-5p, -501-5p, -519a-3p, and -18a-3p) remained significantly different (FDR = 0.05). The Area Under the Curve for the five miRNAs ranged from 0.77 to 0.84. The optimal sensitivity and specificity ranged from 70 to 80% and 80 to 90%, respectively. After adjustment for age and sex covariates, 46 miRNAs significantly correlated with VO2peak (p < 0.05) and miR-519a-3p remained significant based on adjusted p-values.

Conclusions: We identified a miRNA signature of VO2peak in older individuals that might provide insights to novel mechanisms that drive low VO2peak. Future studies will validate the findings in a larger, longitudinal study cohort.

肌肉、运动与衰老研究中老年人vo2峰值的MicroRNA特征。
背景:运动过程中最大耗氧量(VO2peak)是衡量心肺适能(CF)的直接指标,是身体功能和整体健康状况的关键指标。然而,支持vo2峰变化的分子变化尚不清楚。我们的目标是了解与vo2峰值变化相关的miRNA特征,这可以为降低vo2峰值的新机制提供见解。方法:我们使用小RNA测序对72名参与者(70-91岁)的基线、横断面血清样本进行分析。我们分析了来自低或高VO2peak个体的样本(N = 18/组)以及随机选择的36名参与者的样本,这些样本跨越了整个VO2peak谱。我们使用LIMMA分析软件包进行回归分析并鉴定差异表达的mirna。结果:我们在所有血清样本中鉴定出1,055个mirna表达。65种miRNA的表达在低vo2峰和高vo2峰的参与者之间存在差异(p)。结论:我们在老年人中发现了vo2峰的miRNA特征,这可能为驱动低vo2峰的新机制提供见解。未来的研究将在更大的纵向研究队列中验证这些发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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