Food Pairing Pattern Independently Associated with Cardiometabolic Traits Beyond Dietary Indices Across Eastern and Western Populations

Cardiometabolic health is closely linked to diet. Both specific food choices and dietary indices are commonly used to guide cardiometabolic protection strategies. However, the balance between foods may also significantly impact cardiometabolic health. Here, we explore the balance and imbalance in long-term dietary food intake to quantify food pairing patterns, providing insights beyond conventional dietary indices and single-food intake frequencies. Using data from our Guangdong Gut Microbiome Project (GGMP; n = 6994) and the National Health and Nutrition Examination Survey (NHANES; n = 7350) cohorts, we observed that long-term food pairing patterns are independent of single food intake frequency and dietary indices. We identified 1759 and 306 cardiometabolic-related long-term food pairing patterns from two cohorts (false discovery rate (FDR) < 0.05), respectively. Notably, around 80% of these pairing foods not individually associated with cardiometabolic traits, and food pairing pattern associations with cardiometabolic traits at hyper food group level were consistent across Eastern and Western populations. Besides, mediation analysis revealed that 72.7% of long-term food pairing patterns affected cardiometabolic traits through 31 microbial genera, with Clostridiumsensustricto1 playing a predominant role. Moreover, multi-step mediation analysis found that microbes mediated the impact of long-term food pairing patterns on cardiometabolic traits primarily through their metabolic pathways, such as pyruvate fermentation to propanoate and ergothioneine biosynthesis pathways. Our data suggest that balance between dietary foods is broadly associated with cardiometabolic traits by modulating gut microbial functionalities, in contrast to the lower occurrence when considering individual foods in isolation. These results offer a novel perspective for designing personalized dietary strategies beyond present dietary indices to enhance cardiometabolic health.

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Publication Details

Journal
Engineering
Published
2025-03-01
DOI
https://doi.org/10.1016/j.eng.2025.02.015
Citations
4
Primary Topic
Nutritional Studies and Diet
Type
article
Field-Weighted Citation Impact
7.51

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Food Pairing Pattern Independently Associated with Cardiometabolic Traits Beyond Dietary Indices Across Eastern and Western Populations

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Engineering
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article

Food Pairing Pattern Independently Associated with Cardiometabolic Traits Beyond Dietary Indices Across Eastern and Western Populations

Qiufeng Deng, Yuwen Jiao, Lu Liu, Shixian Hu, Huayiyang Zou, Yan Zhou, An Li, Jing Shi, Mingxia Gu, Jingxiang Fu, Xiuchao Wang, Yuhao Sun, Yanhui Sheng, Lianmin Chen, Liming Tang, Beining Ma, Ju‐Sheng Zheng, Fengzhe Xu, Wei Wu, Wenzheng Sun, Yan He, Xiangqing Kong, Tingting Wu, Yifeng Wang, Quanbin Dong, Hongwei Zhou
article en
4 citations

Abstract

Cardiometabolic health is closely linked to diet. Both specific food choices and dietary indices are commonly used to guide cardiometabolic protection strategies. However, the balance between foods may also significantly impact cardiometabolic health. Here, we explore the balance and imbalance in long-term dietary food intake to quantify food pairing patterns, providing insights beyond conventional dietary indices and single-food intake frequencies. Using data from our Guangdong Gut Microbiome Project (GGMP; n = 6994) and the National Health and Nutrition Examination Survey (NHANES; n = 7350) cohorts, we observed that long-term food pairing patterns are independent of single food intake frequency and dietary indices. We identified 1759 and 306 cardiometabolic-related long-term food pairing patterns from two cohorts (false discovery rate (FDR) < 0.05), respectively. Notably, around 80% of these pairing foods not individually associated with cardiometabolic traits, and food pairing pattern associations with cardiometabolic traits at hyper food group level were consistent across Eastern and Western populations. Besides, mediation analysis revealed that 72.7% of long-term food pairing patterns affected cardiometabolic traits through 31 microbial genera, with Clostridiumsensustricto1 playing a predominant role. Moreover, multi-step mediation analysis found that microbes mediated the impact of long-term food pairing patterns on cardiometabolic traits primarily through their metabolic pathways, such as pyruvate fermentation to propanoate and ergothioneine biosynthesis pathways. Our data suggest that balance between dietary foods is broadly associated with cardiometabolic traits by modulating gut microbial functionalities, in contrast to the lower occurrence when considering individual foods in isolation. These results offer a novel perspective for designing personalized dietary strategies beyond present dietary indices to enhance cardiometabolic health.

Engineering
Sun Yat-sen University (CN), Westlake University (CN), Zhujiang Hospital (CN), The First Affiliated Hospital, Sun Yat-sen University (CN), Changzhou No.2 People's Hospital (CN), Jiangsu Province Hospital (CN), Southern Medical University (CN), Nanjing Medical University (CN)
National Natural Science Foundation of China
Zero hunger
Openalex Percentile: Top 3%
Nutritional Studies and Diet
7.51
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