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使用全身代谢模型进行的计算机模拟饮食干预揭示了代谢综合征的性别特异性和差异性饮食风险概况。

In silico dietary interventions using whole-body metabolic models reveal sex-specific and differential dietary risk profiles for metabolic syndrome.

作者信息

Alessi Drew S, McCreery Chloe V, Zomorrodi Ali R

机构信息

Graduate Medical Sciences, Boston University, Boston, MA, United States.

Department of Pediatrics, Mucosal Immunology and Biology Research Center, Massachusetts General Hospital, Boston, MA, United States.

出版信息

Front Physiol. 2025 May 21;16:1586750. doi: 10.3389/fphys.2025.1586750. eCollection 2025.

DOI:10.3389/fphys.2025.1586750
PMID:40470351
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12133891/
Abstract

Metabolic Syndrome (MetS) is a cluster of metabolic disorders that substantially increases the risk of chronic metabolic diseases. Diet plays a crucial role in MetS progression, yet a mechanistic understanding of its impact on MetS risk remains elusive. To address this gap, we conducted a rigorous in silico diet intervention study by leveraging organ-resolved sex-specific whole-body models of metabolism. These models were utilized to computationally evaluate the effect of 12 diverse dietary regimens on key MetS biomarkers-glucose, triacylglycerol, LDL-C, HDL-C-and fatty acid beta-oxidation in representative male and female subjects. Our analyses elucidated molecular mechanisms underlying the link between conventionally unhealthy diets and elevated MetS risk. Specifically, a typical Unhealthy diet indicated elevated triacylglycerol storage in the adipocytes and increased LDL-C to HDL-C ratios across both genders. Conversely, healthier dietary patterns like the Mediterranean, Balanced, and plant-based diets promoted favorable profiles for these biomarkers. Beyond substantiating these known dietary impacts, our analysis also revealed non-intuitive responses to diet. Notably, Vegan and Vegetarian diets induced elevated fatty acid oxidation compared to high-fat regimens like the Ketogenic diet, suggesting their potential in mitigating MetS risk. In addition to these overall trends, pronounced gender differences in metabolic responses to diets were observed, highlighting the need for gender-tailored dietary recommendations. Organ-specific dietary responses and their contributions to MetS biomarkers were also delineated, pinpointing the liver and lungs as major regulators of blood glucose homeostasis. This study contributes to a deeper understanding of the intricate interactions between diet and MetS risk.

摘要

代谢综合征(MetS)是一组代谢紊乱症候群,会大幅增加患慢性代谢性疾病的风险。饮食在代谢综合征的发展过程中起着关键作用,然而,对于其对代谢综合征风险影响的机制性理解仍然难以捉摸。为了填补这一空白,我们利用器官解析的性别特异性全身代谢模型,进行了一项严谨的计算机模拟饮食干预研究。这些模型被用于通过计算评估12种不同饮食方案对代表性男性和女性受试者的关键代谢综合征生物标志物——葡萄糖、三酰甘油、低密度脂蛋白胆固醇、高密度脂蛋白胆固醇——以及脂肪酸β氧化的影响。我们的分析阐明了传统不健康饮食与代谢综合征风险升高之间联系的分子机制。具体而言,典型的不健康饮食表明,无论男女,脂肪细胞中的三酰甘油储存量都会增加,低密度脂蛋白胆固醇与高密度脂蛋白胆固醇的比率也会升高。相反,地中海饮食、均衡饮食和植物性饮食等更健康的饮食模式则促进了这些生物标志物的良好表现。除了证实这些已知的饮食影响外,我们的分析还揭示了对饮食的非直观反应。值得注意的是,与生酮饮食等高脂肪饮食方案相比,纯素饮食和素食饮食会导致脂肪酸氧化增加,这表明它们在降低代谢综合征风险方面具有潜力。除了这些总体趋势外,还观察到饮食代谢反应存在明显的性别差异,这突出了针对性别制定饮食建议的必要性。我们还描绘了器官特异性饮食反应及其对代谢综合征生物标志物的贡献,确定肝脏和肺是血糖稳态的主要调节器官。这项研究有助于更深入地理解饮食与代谢综合征风险之间的复杂相互作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a038/12133891/b70fdd0b0f56/fphys-16-1586750-g006.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a038/12133891/2388b1a00d45/fphys-16-1586750-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a038/12133891/d3aafd7ba1d4/fphys-16-1586750-g003.jpg
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