Associations between dietary carotenoid and biological age acceleration: insights from NHANES 2009-2018.

IF 4.4 4区 医学 Q1 GERIATRICS & GERONTOLOGY
Xinyun Chen, Chunying He, Wenhui Yu, Liang Ma, Shenju Gou, Ping Fu
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引用次数: 0

Abstract

Carotenoids are naturally occurring pigments found in plants and certain microorganisms. Some carotenoids act as precursors to vitamin A, which is essential for various health aspects, including vision, immune function, and skin health. Carotenoids, including α-carotene, β-carotene, β-cryptoxanthin, lycopene, lutein and zeaxanthin, are known to reduce the risk of age-related diseases and promote healthy aging. This study examines the relationship between dietary carotenoid levels and biological age. This study utilized data from the National Health and Nutrition Examination Survey (NHANES) from 2009 to 2018, and 19,280 participants were included. The Phenotypic Age (PhenoAge) was used to measure biological age, and the Klemera-Doubal Method (KDM) was employed in sensitivity analyses. Biological age acceleration was determined by calculating the residuals of PhenoAge or KDM after regressing them against chronological age. Weighted multivariate linear and logistic regressions were conducted to examine the relationship between carotenoids and biological age acceleration. Additionally, restricted cubic spline regression, subgroup analysis, interaction analysis, and sensitivity analyses were employed for further examination. Both linear regression and logistic regression analyses indicated that participants with higher carotenoid intake exhibited lower rates of phenotypic age acceleration, with α-carotene, β-carotene, β-cryptoxanthin, lutein and zeaxanthin, and lycopene all demonstrating protective effects. Restricted cubic spline regression indicates non-linear associations between carotenoid levels and phenotypic age acceleration. Subgroup analyses revealed that younger participants, females, and individuals with hypertension or diabetes benefited more from higher carotenoid intake. Sensitivity analyses further confirmed the robustness of inverse relationship. The WQS analysis identifies β-carotene and β-cryptoxanthin as the most influential compounds. Higher dietary intake of carotenoids is associated with reduced biological age acceleration, underscoring their protective role against aging. Further longitudinal studies are needed to establish causal relationships and explore the underlying mechanisms of carotenoid benefits on aging.

膳食类胡萝卜素与生物年龄加速度之间的关系:2009-2018 年 NHANES 调查的启示。
类胡萝卜素是天然存在于植物和某些微生物中的色素。一些类胡萝卜素是维生素A的前体,维生素A对视力、免疫功能和皮肤健康等各个方面都是必不可少的。类胡萝卜素,包括α-胡萝卜素、β-胡萝卜素、β-隐黄质、番茄红素、叶黄素和玉米黄质,已知可以降低与年龄有关的疾病的风险,促进健康衰老。本研究探讨了膳食类胡萝卜素水平与生物年龄之间的关系。这项研究利用了2009年至2018年国家健康与营养检查调查(NHANES)的数据,其中包括19280名参与者。生物学年龄测定采用表型年龄(Phenotypic Age, PhenoAge),敏感性分析采用klemera - double法(KDM)。生物年龄加速是通过对实际年龄进行回归后计算表型年龄或KDM的残差来确定的。采用加权多元线性和逻辑回归来检验类胡萝卜素与生物年龄加速之间的关系。此外,采用限制性三次样条回归、亚组分析、相互作用分析和敏感性分析进行进一步检查。线性回归和逻辑回归分析均表明,类胡萝卜素摄入量较高的参与者表现出较低的表型年龄加速率,α-胡萝卜素、β-胡萝卜素、β-隐黄质、叶黄素和玉米黄质以及番茄红素均表现出保护作用。限制三次样条回归表明类胡萝卜素水平与表型年龄加速之间存在非线性关联。亚组分析显示,年轻的参与者、女性和高血压或糖尿病患者从摄入更多的类胡萝卜素中获益更多。敏感性分析进一步证实了反比关系的稳健性。WQS分析发现β-胡萝卜素和β-隐黄质是影响最大的化合物。较高的饮食摄入类胡萝卜素与减少生物年龄加速有关,强调了它们对衰老的保护作用。需要进一步的纵向研究来建立因果关系并探索类胡萝卜素延缓衰老的潜在机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biogerontology
Biogerontology 医学-老年医学
CiteScore
8.00
自引率
4.40%
发文量
54
审稿时长
>12 weeks
期刊介绍: The journal Biogerontology offers a platform for research which aims primarily at achieving healthy old age accompanied by improved longevity. The focus is on efforts to understand, prevent, cure or minimize age-related impairments. Biogerontology provides a peer-reviewed forum for publishing original research data, new ideas and discussions on modulating the aging process by physical, chemical and biological means, including transgenic and knockout organisms; cell culture systems to develop new approaches and health care products for maintaining or recovering the lost biochemical functions; immunology, autoimmunity and infection in aging; vertebrates, invertebrates, micro-organisms and plants for experimental studies on genetic determinants of aging and longevity; biodemography and theoretical models linking aging and survival kinetics.
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