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膳食纤维对代谢健康和肥胖的影响。

Effects of dietary fibre on metabolic health and obesity.

作者信息

Deehan Edward C, Mocanu Valentin, Madsen Karen L

机构信息

Department of Food Science and Technology, University of Nebraska, Lincoln, NE, USA.

Nebraska Food for Health Center, Lincoln, NE, USA.

出版信息

Nat Rev Gastroenterol Hepatol. 2024 May;21(5):301-318. doi: 10.1038/s41575-023-00891-z. Epub 2024 Feb 7.

Abstract

Obesity and metabolic syndrome represent a growing epidemic worldwide. Body weight is regulated through complex interactions between hormonal, neural and metabolic pathways and is influenced by numerous environmental factors. Imbalances between energy intake and expenditure can occur due to several factors, including alterations in eating behaviours, abnormal satiation and satiety, and low energy expenditure. The gut microbiota profoundly affects all aspects of energy homeostasis through diverse mechanisms involving effects on mucosal and systemic immune, hormonal and neural systems. The benefits of dietary fibre on metabolism and obesity have been demonstrated through mechanistic studies and clinical trials, but many questions remain as to how different fibres are best utilized in managing obesity. In this Review, we discuss the physiochemical properties of different fibres, current findings on how fibre and the gut microbiota interact to regulate body weight homeostasis, and knowledge gaps related to using dietary fibres as a complementary strategy. Precision medicine approaches that utilize baseline microbiota and clinical characteristics to predict individual responses to fibre supplementation represent a new paradigm with great potential to enhance weight management efficacy, but many challenges remain before these approaches can be fully implemented.

摘要

肥胖和代谢综合征在全球范围内呈日益流行之势。体重通过激素、神经和代谢途径之间的复杂相互作用来调节,并受众多环境因素影响。能量摄入与消耗之间的失衡可能由多种因素导致,包括饮食行为改变、饱腹感异常以及低能量消耗。肠道微生物群通过涉及对黏膜和全身免疫、激素及神经系统影响的多种机制,深刻影响能量稳态的各个方面。通过机制研究和临床试验已证实膳食纤维对代谢和肥胖有益,但在如何最佳利用不同纤维来管理肥胖方面仍存在许多问题。在本综述中,我们讨论了不同纤维的理化特性、纤维与肠道微生物群相互作用以调节体重稳态的当前研究结果,以及将膳食纤维用作补充策略相关的知识空白。利用基线微生物群和临床特征来预测个体对纤维补充剂反应的精准医学方法代表了一种具有巨大潜力的新范式,有望提高体重管理效果,但在这些方法能够全面实施之前仍存在许多挑战。

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