一种评估和调整多共线性协变量对代谢组学关联模式影响的方法——应用于全面脂蛋白谱与胰岛素抵抗稳态模型评估之间关联的研究。
An approach to assess and adjust for the influence of multicollinear covariates on metabolomics association patterns-applied to a study of the associations between a comprehensive lipoprotein profile and the homeostatic model assessment of insulin resistance.
机构信息
Department of Chemistry, University of Bergen, Bergen, Norway.
Førde Health Trust, Førde, Norway.
出版信息
Metabolomics. 2022 Sep 2;18(9):72. doi: 10.1007/s11306-022-01931-6.
INTRODUCTION
Comprehensive lipoprotein profiling using proton nuclear magnetic resonance (NMR) spectroscopy of serum represents an alternative to the homeostatic model assessment of insulin resistance (HOMA-IR). Both adiposity and physical (in)activity associate to insulin resistance, but quantification of the influence of these two lifestyle related factors on the association pattern of HOMA-IR to lipoproteins suffers from lack of appropriate methods to handle multicollinear covariates.
OBJECTIVES
We aimed at (i) developing an approach for assessment and adjustment of the influence of multicollinear and even linear dependent covariates on regression models, and (ii) to use this approach to examine the influence of adiposity and physical activity on the association pattern between HOMA-IR and the lipoprotein profile.
METHODS
For 841 children, lipoprotein profiles were obtained from serum proton NMR and physical activity (PA) intensity profiles from accelerometry. Adiposity was measured as body mass index, the ratio of waist circumference to height, and skinfold thickness. Target projections were used to assess and isolate the influence of adiposity and PA on the association pattern of HOMA-IR to the lipoproteins.
RESULTS
Adiposity explained just over 50% of the association pattern of HOMA-IR to the lipoproteins with strongest influence on high-density lipoprotein features. The influence of PA was mainly attributed to a strong inverse association between adiposity and moderate and high-intensity physical activity.
CONCLUSION
The presented covariate projection approach to obtain net association patterns, made it possible to quantify and interpret the influence of adiposity and physical (in)activity on the association pattern of HOMA-IR to the lipoprotein features.
简介
使用血清质子磁共振（NMR）光谱进行综合脂蛋白谱分析是胰岛素抵抗（HOMA-IR）稳态模型评估的替代方法。肥胖和身体（运动）活动都与胰岛素抵抗有关，但量化这两个与生活方式相关的因素对 HOMA-IR 与脂蛋白关联模式的影响，由于缺乏适当的方法来处理多线性协变量，因此受到限制。
目的
我们旨在（i）开发一种评估和调整多线性甚至线性相关协变量对回归模型影响的方法，以及（ii）使用这种方法来检查肥胖和身体活动对 HOMA-IR 与脂蛋白谱之间关联模式的影响。
方法
对于 841 名儿童，从血清质子 NMR 获得脂蛋白谱，从加速度计获得身体活动（PA）强度谱。肥胖程度用体重指数、腰围与身高的比值和皮褶厚度来衡量。目标投影用于评估和分离肥胖和 PA 对 HOMA-IR 与脂蛋白关联模式的影响。
结果
肥胖仅能解释 HOMA-IR 与脂蛋白关联模式的 50%以上，对高密度脂蛋白特征的影响最大。PA 的影响主要归因于肥胖与中高强度体力活动之间的强烈反比关系。
结论
提出的协变量投影方法来获得净关联模式，使我们能够量化和解释肥胖和身体（运动）活动对 HOMA-IR 与脂蛋白特征关联模式的影响。
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