Department of Neurology, Hospital del Mar; Neurovascular Research Group, IMIM (Institut Hospital del Mar d'Investigacions Mèdiques); Universitat Autònoma de Barcelona/DCEXS-Universitat Pompeu Fabra, Barcelona, Spain.
Stroke Pharmacogenomics and Genetics, Fundació Docència i Recerca, MutuaTerrassa, Hospital Mútua de Terrassa, Terrassa, Spain.
Sci Rep. 2018 Mar 7;8(1):4148. doi: 10.1038/s41598-018-22579-0.
Age and stroke severity are the main mortality predictors after ischemic stroke. However, chronological age and biological age are not exactly concordant. Age-related changes in DNA methylation in multiple CpG sites across the genome can be used to estimate biological age, which is influenced by lifestyle, environmental factors, and genetic variation. We analyzed the impact of biological age on 3-month mortality in ischemic stroke. We assessed 594 patients with acute ischemic stroke in a cohort from Hospital del Mar (Barcelona) and validated the results in an independent cohort. Demographic and clinical data, including chronological age, vascular risk factors, initial stroke severity (NIHSS score), recanalization treatment, and previous modified Rankin scale were registered. Biological age was estimated with an algorithm based on DNA methylation in 71 CpGs. Biological age was predictive of 3-month mortality (p = 0.041; OR = 1.05, 95% CI 1.00-1.10), independently of NIHSS score, chronological age, TOAST, vascular risk factors, and blood cell composition. Stratified by TOAST classification, biological age was associated with mortality only in large-artery atherosclerosis etiology (p = 0.004; OR = 1.14, 95% CI 1.04-1.25). As estimated by DNA methylation, biological age is an independent predictor of 3-month mortality in ischemic stroke regardless of chronological age, NIHSS, previous modified Rankin scale, and vascular risk factors.
年龄和中风严重程度是缺血性中风后死亡的主要预测因素。然而,实际年龄和生物年龄并不完全一致。在全基因组多个 CpG 位点的 DNA 甲基化变化可以用来估计生物年龄,它受到生活方式、环境因素和遗传变异的影响。我们分析了生物年龄对缺血性中风 3 个月死亡率的影响。我们评估了巴塞罗那玛尔医院(Hospital del Mar)队列中的 594 名急性缺血性中风患者,并在独立队列中验证了结果。记录了人口统计学和临床数据,包括实际年龄、血管危险因素、初始中风严重程度(NIHSS 评分)、再通治疗和之前的改良 Rankin 量表。使用基于 71 个 CpG 的 DNA 甲基化的算法来估计生物年龄。生物年龄与 3 个月死亡率相关(p=0.041;OR=1.05,95%CI 1.00-1.10),与 NIHSS 评分、实际年龄、TOAST、血管危险因素和血细胞组成无关。按 TOAST 分类分层,生物年龄仅与大动脉粥样硬化病因有关(p=0.004;OR=1.14,95%CI 1.04-1.25)。通过 DNA 甲基化估计,生物年龄是缺血性中风 3 个月死亡率的独立预测因素,与实际年龄、NIHSS、之前的改良 Rankin 量表和血管危险因素无关。