Division of Cancer Epidemiology, German Cancer Research Center, DKFZ, Heidelberg 69120, Germany.
Institute for Global Food Security, Queen's University Belfast, Belfast, Northern Ireland.
Age Ageing. 2022 Feb 2;51(2). doi: 10.1093/ageing/afab271.
lifestyle behaviours and chronic co-morbidities are leading risk factors for premature mortality and collectively predict wide variability in individual life expectancy (LE). We investigated whether a pre-selected panel of five serum markers of biological ageing could improve predicting the long-term mortality risk and LE in middle-aged and older women and men.
we conducted a case-cohort study (n = 5,789 among which there were 2,571 deaths) within the European Prospective Investigation into Cancer-Heidelberg cohort, a population cohort of middle-aged and older individuals, followed over a median duration of 18 years. Gompertz models were used to compute multi-adjusted associations of growth differentiation factor-15, N-terminal pro-brain natriuretic peptide, glycated haemoglobin A1c, C-reactive protein and cystatin-C with mortality risk. Areas under estimated Gompertz survival curves were used to estimate the LE of individuals using a model with lifestyle-related risk factors only (smoking history, body mass index, waist circumference, alcohol, physical inactivity, diabetes and hypertension), or with lifestyle factors plus the ageing-related markers.
a model including only lifestyle-related factors predicted a LE difference of 16.8 [95% confidence interval: 15.9; 19.1] years in men and 9.87 [9.20; 13.1] years in women aged ≥60 years by comparing individuals in the highest versus the lowest quintiles of estimated mortality risk. Including the ageing-related biomarkers in the model increased these differences up to 22.7 [22.3; 26.9] years in men and 14.00 [12.9; 18.2] years in women.
serum markers of ageing are potentially strong predictors for long-term mortality risk in a general population sample of older and middle-aged individuals and may help to identify individuals at higher risk of premature death, who could benefit from interventions to prevent further ageing-related health declines.
生活方式行为和慢性合并症是导致过早死亡的主要危险因素,它们共同预测了个体预期寿命(LE)的广泛差异。我们研究了一组预先选择的五种生物老化血清标志物是否可以改善对中年和老年人的长期死亡率风险和 LE 的预测。
我们在欧洲癌症前瞻性调查-海德堡队列(European Prospective Investigation into Cancer-Heidelberg cohort)中进行了病例-队列研究(其中有 5789 人,有 2571 人死亡),这是一个中年和老年人的人群队列,随访中位数为 18 年。我们使用戈梅茨模型计算生长分化因子 15、N 端脑钠肽前体、糖化血红蛋白 A1c、C 反应蛋白和胱抑素 C 与死亡率风险的多调整关联。使用仅包括与生活方式相关的危险因素(吸烟史、体重指数、腰围、酒精、缺乏身体活动、糖尿病和高血压)或包括与生活方式相关的危险因素和与衰老相关的标志物的模型,使用估计的戈梅茨生存曲线下面积来估计个体的 LE。
仅包括与生活方式相关的因素的模型预测,在比较处于最高与最低五分位数估计死亡率风险的个体时,年龄≥60 岁的男性 LE 差异为 16.8 岁(95%置信区间:15.9;19.1),女性为 9.87 岁(9.20;13.1)。在模型中包括与衰老相关的生物标志物,男性的差异增加到 22.7 岁(22.3;26.9),女性的差异增加到 14.00 岁(12.9;18.2)。
衰老的血清标志物是一般人群中年和老年人长期死亡率风险的潜在有力预测指标,它们可能有助于识别过早死亡风险较高的个体,这些个体可能受益于干预措施,以防止进一步的衰老相关健康下降。