Exploring adipogenic and myogenic circulatory biomarkers of recurrent pressure injury risk for persons with spinal cord injury.
Exploring adipogenic and myogenic circulatory biomarkers of recurrent pressure injury risk for persons with spinal cord injury.
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DOI：
10.33393/jcb.2020.2121
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发表时间：
2020-09
影响因子：
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通讯作者：
Sun J
中科院分区：
文献类型：
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作者：
Bogie KM;Schwartz K;Li Y;Wang S;Dai W;Sun J
旨在研究循环脂肪生成和肌源性生物标志物、臀肌肌内脂肪组织 (IMAT) 和脊髓损伤 (SCI) 后压力损伤 (PrI) 病史之间的联系。这是一项针对 30 名 SCI 患者的观察性重复测量研究。 2-3 年内定期采集全血。测定循环脂肪生成和肌生成基因表达。 IMAT 定义为高于/低于 15% (IMATd) 或百分比 (IMAT%)。 PrI 历史定义为复发性 PrI (RPrI) 或 PrI 数 (nPrI)。模型开发使用 R 包（版本 3.5.1）。单变量分析筛选下游多变量的区分基因，以及二元（RPrI/IMATd）和更精细尺度（nPrI/IMAT%）的平均和纵向数据的组合模型。对于脂肪生成，Krüppel 样因子 4 与抵抗素和细胞周期蛋白 D1 一起是最重要的 RPrI 预测因子，而 Sirtuin 2 是最重要的 IMAT 预测因子。对于肌生成，最重要的 RPrI 预测因子是 Dysferlin 2B，丙酮酸脱氢酶激酶 4 与肌营养不良蛋白一起是最重要的 IMAT 预测因子。对于 SCI 患者，循环脂肪生成和肌生成生物标志物与 PrI 病史和 IMAT 具有统计显着关系。感兴趣的生物标志物可以协同或相加地发挥作用。变量重要性排名可以揭示预测变量之间的非线性相关性。感兴趣的生物标志物可能会协同或相加地发挥作用，因此可能需要包括多个基因才能进行更精细区分的预测。
To investigate linkages between circulatory adipogenic and myogenic biomarkers, gluteal intramuscular adipose tissue (IMAT), and pressure injury (PrI) history following spinal cord injury (SCI). This is an observational repeated-measures study of 30 individuals with SCI. Whole blood was collected regularly over 2-3 years. Circulatory adipogenic and myogenic gene expression was determined. IMAT was defined as above/below 15% (IMATd) or percentage (IMAT%). PrI history was defined as recurrent PrI (RPrI) or PrI number (nPrI). Model development used R packages (version 3.5.1). Univariate analysis screened for discriminating genes for downstream multivariate and combined models of averaged and longitudinal data for binary (RPrI/IMATd) and finer scales (nPrI/IMAT%). For adipogenesis, Krüppel-like factor 4 was the top RPrI predictor together with resistin and cyclin D1, and sirtuin 2 was the top IMAT predictor. For myogenesis, the top RPrI predictor was dysferlin 2B, and pyruvate dehydrogenase kinase-4 was the top IMAT predictor together with dystrophin. Circulatory adipogenic and myogenic biomarkers have statistically significant relationships with PrI history and IMAT for persons with SCI. Biomarkers of interest may act synergistically or additively. Variable importance rankings can reveal nonlinear correlations among the predictors. Biomarkers of interest may act synergistically or additively, thus multiple genes may need to be included for prediction with finer distinction.