Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia.
Winship Cancer Institute, Emory University, Atlanta, Georgia.
Cancer Prev Res (Phila). 2018 Jan;11(1):52-58. doi: 10.1158/1940-6207.CAPR-17-0183. Epub 2017 Oct 26.
evidence implicates oxidative stress in many adverse health conditions, including colorectal neoplasia. In human studies, however, oxidative stress is measured by imperfect biomarkers, which are inconsistently associated with health outcomes. Structural equation modeling (SEM) offers one possible solution by modeling a latent (unobserved) construct from multiple biomarkers. Our goal was to investigate the association of a latent oxidative stress variable with colorectal adenoma. Using SEM, we analyzed pooled data from two cross-sectional studies of colorectal adenoma ( = 526) that measured five plasma biomarkers of oxidative stress and inflammation that comprised the latent oxidative stress variable: F-isoprostanes (FIP), fluorescent oxidation products (FOP), mitochondrial DNA (MtDNA) copy number, γ-tocopherol (Gtoc), and C-reactive protein (CRP). Higher levels of oxidative stress were associated with colorectal adenoma [OR = 3.23 per SD increase in oxidative stress; 95% confidence interval (CI), 1.28-8.18]. The latent variable estimate was considerably stronger than the associations of adenoma with the individual biomarkers, which were modest and mostly nonsignificant. Risk factors were associated with adenoma via the oxidative stress pathway, particularly overweight and obesity with an OR = 1.50; 95% CI, 1.10-2.81; and OR = 2.95; 95% CI, 1.28-12.45, respectively. Oxidative stress may be positively associated with colorectal adenoma, and important risk factors may act through this mechanism, but the cross-sectional design of the current study precludes observing the directionality of associations. The presence of an adenoma could affect levels of the circulating biomarkers; thus, we should be cautious of strong conclusions until the findings are replicated in a follow-up study. .
氧化应激与许多不良健康状况有关,包括结直肠肿瘤。然而,在人类研究中,氧化应激是通过不完善的生物标志物来衡量的,这些生物标志物与健康结果的相关性不一致。结构方程模型(SEM)通过从多个生物标志物中构建一个潜在(未观察到的)构念提供了一种可能的解决方案。我们的目标是研究潜在的氧化应激变量与结直肠腺瘤之间的关联。我们使用 SEM 分析了来自两项结直肠腺瘤横断面研究的合并数据(= 526),这些研究测量了构成潜在氧化应激变量的五种血浆氧化应激和炎症生物标志物:F-异前列腺素(FIP)、荧光氧化产物(FOP)、线粒体 DNA(MtDNA)拷贝数、γ-生育酚(Gtoc)和 C-反应蛋白(CRP)。更高水平的氧化应激与结直肠腺瘤相关[氧化应激每标准差增加的比值比(OR)为 3.23;95%置信区间(CI),1.28-8.18]。潜在变量估计值明显强于腺瘤与单个生物标志物的关联,这些关联较小且大多不显著。危险因素通过氧化应激途径与腺瘤相关,尤其是超重和肥胖的 OR = 1.50;95%CI,1.10-2.81;和 OR = 2.95;95%CI,1.28-12.45。氧化应激可能与结直肠腺瘤呈正相关,重要的危险因素可能通过这种机制起作用,但目前研究的横断面设计限制了观察关联的方向性。循环生物标志物水平可能受到腺瘤存在的影响;因此,在后续研究中得到证实之前,我们应该谨慎得出强烈的结论。