Associations of various healthy dietary patterns with biological age acceleration and the mediating role of gut microbiota: results from the China Multi-Ethnic Cohort study.

IF 3 3区 医学 Q2 NUTRITION & DIETETICS
Hongmei Zhang, Haojiang Zuo, Yi Xiang, Jiajie Cai, Ning Zhang, Fen Yang, Shourui Huang, Yuan Zhang, Hongxiang Chen, Sicheng Li, Tingting Yang, Fei Mi, Liling Chen, Mingming Han, Jingzhong Li, Xiong Xiao, Xing Zhao
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引用次数: 0

Abstract

To investigate the associations between dietary patterns and biological aging, identify the most recommended dietary pattern for coping with biological aging and explore the potential mediating role of gut microbiota in less-developed ethnic minority regions (LEMRs). This prospective cohort study included 8288 participants aged 30-79 years from the China Multi-Ethnic Cohort study (CMEC). Anthropometric measurements and clinical biomarkers were utilized to construct biological age based on Klemera and Doubal's method (KDM-BA) and KDM-BA acceleration (KDM-AA). Dietary information was obtained through the baseline food frequency questionnaire (FFQ). Six dietary patterns were constructed: plant-based diet index (PDI), healthful plant-based diet index (hPDI), unhealthful plant-based diet index (uPDI), healthy diet score (HDS), Dietary Approaches to Stop Hypertension (DASH), and alternative Mediterranean diets (aMED). Follow-up adjusted for baseline analysis were employed to assess the associations between dietary patterns and KDM-AA. Additionally, quantile G-computation was utilized to evaluate the significant beneficial and harmful food groups. In the subsample of 764 participants with gut microbiota data obtained through 16S rRNA gene sequencing, we used causal mediation model to explore the mediating role of gut microbiota in the associations between dietary patterns and KDM-AA. The results showed that all dietary patterns were associated with KDM-AA. Transitioning from non-compliance to compliance, DASH exhibited the strongest negative association with KDM-AA [β = -0.91, 95%CI (-1.19, -0.63)]. The component analyses revealed that tea and soybean products were the significant beneficial food groups, while salt, preserved vegetables, red and processed meats were identified as the major harmful food groups. In mediation analysis, the decreased abundance of Synergistetes phylum and Pyramidobacter genus possibly mediated the negative associations between plant-based diets and KDM-AA (5.61%-9.19%). Overall, healthy dietary patterns, especially DASH, are negatively associated with biological aging in LEMRs. The Synergistetes and Pyramidobacter may mediate the associations between plant-based diets and biological aging. Developing appropriate strategies may promote healthy aging in LEMRs.

各种健康饮食模式与生物年龄加速的关系及肠道微生物群的中介作用:中国多民族队列研究的结果。
研究膳食模式与生物衰老之间的关联,确定应对生物衰老的最推荐膳食模式,并探讨肠道微生物群在欠发达少数民族地区的潜在中介作用。这项前瞻性队列研究纳入了中国多民族队列研究(CMEC)中年龄在30-79岁之间的8288名参与者。研究利用人体测量和临床生物标志物,根据 Klemera 和 Doubal 方法(KDM-BA)和 KDM-BA 加速法(KDM-AA)构建生物年龄。饮食信息通过基线食物频率问卷(FFQ)获得。构建了六种膳食模式:植物性膳食指数(PDI)、健康植物性膳食指数(hPDI)、不健康植物性膳食指数(uPDI)、健康膳食评分(HDS)、膳食法抗高血压(DASH)和地中海替代膳食(aMED)。为评估膳食模式与 KDM-AA 之间的关联,采用了对基线分析进行调整的随访方法。此外,还利用量化 G 计算来评估重要的有益和有害食物组。在通过 16S rRNA 基因测序获得肠道微生物群数据的 764 位参与者子样本中,我们使用因果中介模型探讨了肠道微生物群在膳食模式与 KDM-AA 关联中的中介作用。结果显示,所有膳食模式都与 KDM-AA 相关。从非达标到达标,DASH与KDM-AA的负相关最强[β = -0.91,95%CI (-1.19, -0.63)]。成分分析表明,茶叶和大豆制品是主要的有益食物组,而盐、腌制蔬菜、红肉和加工肉类则是主要的有害食物组。在中介分析中,协同菌门和金字塔菌属数量的减少可能是植物性膳食与 KDM-AA 负相关的中介(5.61%-9.19%)。总体而言,健康饮食模式,尤其是 DASH,与 LEMRs 的生物衰老呈负相关。协同菌和金字塔菌可能是植物性膳食与生物衰老之间关系的中介。制定适当的策略可促进 LEMRs 的健康老龄化。
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
British Journal of Nutrition
British Journal of Nutrition 医学-营养学
CiteScore
6.60
自引率
5.60%
发文量
740
审稿时长
3 months
期刊介绍: British Journal of Nutrition is a leading international peer-reviewed journal covering research on human and clinical nutrition, animal nutrition and basic science as applied to nutrition. The Journal recognises the multidisciplinary nature of nutritional science and includes material from all of the specialities involved in nutrition research, including molecular and cell biology and nutritional genomics.
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