膳食多样性(而非膳食质量)与代谢综合征的减少和良好的肠道微生物群并行不悖:膳食多样性评分。

IF 6.8 4区 医学 Q1 NUTRITION & DIETETICS Journal of the American Nutrition Association Pub Date : 2024-11-18 DOI:10.1080/27697061.2024.2423775
Mats L Wiese, Fabian Frost, Martin Bahls, Sabrina von Rheinbaben, Malte Rühlemann, Corinna Bang, Andre Franke, Matthias Nauck, Robin Bülow, Uwe Völker, Henry Völzke, Till Ittermann, Markus M Lerch, Ali A Aghdassi
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引用次数: 0

摘要

目的饮食在代谢综合征(MetS)的发病过程中起着至关重要的作用。膳食建议主要关注食物摄入的质量,而膳食多样性对预防肥胖和代谢性疾病的相关性和机制尚不清楚。在此,我们研究了膳食多样性和质量与 MetS 和肠道微生物群组成的关系:方法:我们使用了波美拉尼亚健康研究(Study of Health in Pomerania)的两个独立人群队列(n = 6753)的汇总数据。根据经过验证的食物频率问卷,计算出了新的膳食多样性评分(DDS)和既定的膳食质量评分(DQS)。二者均与人体测量数据和 MetS 的临床成分以及肠道微生物组成(16S rRNA 基因测序)相关:结果:DDS 与更健康的代谢表型和更低的 MetS 风险均有关联(横断面比 [OR],0.90;95% CI,0.82-0.93;P = 0.029)。相比之下,无论是横断面还是纵断面,DQS 与 MetS 之间几乎没有任何有利的关联。与DQS相比,DDS对肠道微生物群β多样性变化的解释多出42.6%,并且与更有利的微生物组成有关(例如,更少的埃希氏菌/志贺氏菌[q = 0.00576]和更多的反刍球菌科[q = 0.01263]):结论:由新型 DDS 确定的膳食多样性可降低 MetS 风险,而膳食质量在这方面的重要性较低。膳食多样性越高,微生物群多样性越高,肠道微生物群越健康。未来的膳食建议应强调膳食多样性,而不是营养成分的绝对摄入量。
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Dietary Diversity, Rather Than Quality, Parallels a Reduction in Metabolic Syndrome and a Favorable Gut Microbiome: The Dietary Diversity Score.

Objective: Diet plays a crucial role in the development of metabolic syndrome (MetS). While dietary recommendations primarily focus on quality of food intake, the relevance and mechanisms of dietary diversity for the prevention of obesity and metabolic diseases are unclear. Here, we investigate the respective associations of dietary diversity and quality with MetS and gut microbiota composition.

Methods: Pooled data from 2 independent population-based cohorts of the Study of Health in Pomerania (n = 6753) were used. Based on a validated food frequency questionnaire a novel dietary diversity score (DDS) and an established dietary quality score (DQS) were calculated. Both were correlated with anthropometric data and clinical components of MetS as well as with intestinal microbial composition (16S rRNA gene sequencing).

Results: DDS was associated with a healthier metabolic phenotype and lower MetS risk in both cross-sectional (odds ratio [OR], 0.90; 95% CI, 0.82-0.93; p < 0.001) and longitudinal analyses of 5-year follow-up data (OR, 0.89; 95% CI, 0.79-0.99; p = 0.029). In contrast, there were hardly any favorable associations between DQS and MetS, neither cross-sectionally nor longitudinally. DDS explained 42.6% more beta diversity variation in gut microbiota than DQS and was linked to a more favorable microbial composition (e.g., less Escherichia/Shigella [q = 0.00576] and greater Ruminococcaceae [q = 0.01263] abundance).

Conclusions: Dietary diversity, as determined by the novel DDS, reduces MetS risk, whereas dietary quality was less important in that regard. Greater dietary diversity was paralleled by greater microbiota diversity and a healthier gut microbiome. Future dietary recommendations should emphasize dietary diversity rather than absolute consumption of nutritional components.

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