Medical Research Centre Oulu, Unit of Internal Medicine, Oulu University Hospital, University of Oulu, Oulu, Finland.
Scand J Clin Lab Invest. 2021 Jul;81(4):324-331. doi: 10.1080/00365513.2021.1904518. Epub 2021 Apr 1.
Several diseases have a deleterious fibrosis component. Biomarkers indicating potential clinical utility that reliably reflect the degree of fibrosis have been introduced, one of them being soluble suppression of tumorigenicity 2 (sST2). The aim of our study was to explore the association of cardiometabolic risk factors, different diseases and total mortality with biomarker sST2 and see, how fibrosis is portrayed in these conditions. In addition, we were interested to see if sST2 levels could predict fibrosis in the long-term (21 years). The Oulu Project Elucidating Risk of Atherosclerosis (OPERA) survey collected data on the same individuals in years 1991-1993 (baseline, = 1045), 2013-2014 (follow-up, = 600) and mortality data until year 2019. Smoking at baseline retained a significant association with sST2 levels reflecting fibrosis development 20 years later. In the multivariate model male gender, diabetes, quick-index, levels of alanine aminotransferase (ALAT), high-density lipoprotein (HDL) cholesterol and high-sensitivity C-reactive protein (hsCRP) were associated with elevated sST2 levels at the examination 2013-2014. sST2 levels were higher among subjects suffering from cardiovascular disease ( = .031), cancer ( = .021), mild cognitive decline ( = .046) and diabetes ( < .001). Total mortality was assessed by using the Cox proportional hazard survival model analysis. sST2 (log-transformed) was an independent predictor of total mortality (HR 9.4; 95% CI 2.8-31.4, <.001) when age, gender, diabetes, smoking, quick-index, levels of ALAT, HDL-cholesterol and hsCRP were added as covariates. In addition, elevated levels indicated worse prognosis and predicted mortality.
几种疾病都具有有害的纤维化成分。已经引入了一些能够可靠反映纤维化程度的具有潜在临床应用价值的生物标志物,其中之一是可溶性肿瘤抑制因子 2(sST2)。我们的研究目的是探讨代谢危险因素、不同疾病与生物标志物 sST2 之间的关联,以及纤维化在这些情况下的表现方式。此外,我们还想了解 sST2 水平是否可以预测长期(21 年)的纤维化情况。奥卢阐明动脉粥样硬化风险项目(OPERA)调查在 1991-1993 年(基线,n=1045)、2013-2014 年(随访,n=600)以及 2019 年之前收集了相同个体的数据。基线时的吸烟情况与反映 20 年后纤维化发展的 sST2 水平仍存在显著关联。在多变量模型中,男性、糖尿病、快速指数、丙氨酸氨基转移酶(ALAT)水平、高密度脂蛋白(HDL)胆固醇和高敏 C 反应蛋白(hsCRP)与 2013-2014 年检查时 sST2 水平升高相关。患有心血管疾病(n=0.031)、癌症(n=0.021)、轻度认知障碍(n=0.046)和糖尿病(n<0.001)的受试者的 sST2 水平更高。采用 Cox 比例风险生存模型分析评估总死亡率。当将年龄、性别、糖尿病、吸烟、快速指数、ALAT 水平、HDL 胆固醇和 hsCRP 作为协变量添加后,sST2(对数转换)是总死亡率的独立预测因子(HR 9.4;95%CI 2.8-31.4,<0.001)。此外,升高的 sST2 水平表明预后更差,并预测了死亡率。