Department of Epidemiology and Prevention, IRCCS Neuromed, Via dell'Elettronica, 86077 Pozzilli, Italy.
Population Health Research Center, National Institute of Public Health, Cuernavaca 62100, Mexico.
Nutrients. 2023 Mar 21;15(6):1503. doi: 10.3390/nu15061503.
Chronological age (CA) may not accurately reflect the health status of an individual. Rather, biological age (BA) or hypothetical underlying "functional" age has been proposed as a relevant indicator of healthy aging. Observational studies have found that decelerated biological aging or Δage (BA-CA) is associated with a lower risk of disease and mortality. In general, CA is associated with low-grade inflammation, a condition linked to the risk of the incidence of disease and overall cause-specific mortality, and is modulated by diet. To address the hypothesis that diet-related inflammation is associated with Δage, a cross-sectional analysis of data from a sub-cohort from the Moli-sani Study (2005-2010, Italy) was performed. The inflammatory potential of the diet was measured using the Energy-adjusted Dietary Inflammatory Index (E-DII) and a novel literature-based dietary inflammation score (DIS). A deep neural network approach based on circulating biomarkers was used to compute BA, and the resulting Δage was fit as the dependent variable. In 4510 participants (men 52.0%), the mean of CA (SD) was 55.6 y (±11.6), BA 54.8 y (±8.6), and Δage -0.77 (±7.7). In a multivariable-adjusted analysis, an increase in E-DII and DIS scores led to an increase in Δage (β = 0.22; 95%CI 0.05, 0.38; β = 0.27; 95%CI 0.10, 0.44, respectively). We found interaction for DIS by sex and for E-DII by BMI. In conclusion, a pro-inflammatory diet is associated with accelerated biological aging, which likely leads to an increased long-term risk of inflammation-related diseases and mortality.
实际年龄(CA)可能无法准确反映个体的健康状况。相反,生物年龄(BA)或假设的潜在“功能”年龄已被提出作为健康衰老的相关指标。观察性研究发现,生物年龄的减缓或Δage(BA-CA)与疾病和死亡率风险降低相关。一般而言,CA 与低度炎症相关,这种炎症状态与疾病发生和全因特定死亡率的风险相关,并且受到饮食的调节。为了验证饮食相关炎症与Δage 相关的假设,对 Moli-sani 研究(2005-2010 年,意大利)子队列的数据进行了横断面分析。使用能量调整饮食炎症指数(E-DII)和新的基于文献的饮食炎症评分(DIS)来衡量饮食的炎症潜力。基于循环生物标志物的深度神经网络方法用于计算 BA,所得的Δage 作为因变量进行拟合。在 4510 名参与者(男性 52.0%)中,CA(SD)的平均值为 55.6 岁(±11.6),BA 为 54.8 岁(±8.6),Δage 为-0.77(±7.7)。在多变量调整分析中,E-DII 和 DIS 评分的增加导致 Δage 增加(β=0.22;95%CI 0.05,0.38;β=0.27;95%CI 0.10,0.44)。我们发现 DIS 与性别之间存在交互作用,E-DII 与 BMI 之间存在交互作用。总之,促炎饮食与生物年龄的加速老化相关,这可能导致与炎症相关的疾病和死亡率的长期风险增加。