调节骨骼肌新陈代谢的氨基酸:作用机制、体育训练剂量建议和不良影响。

IF 3.9 2区 医学 Q2 NUTRITION & DIETETICS Nutrition & Metabolism Pub Date : 2024-07-02 DOI:10.1186/s12986-024-00820-0
Guangqi Li, Zhaojun Li, Junyi Liu
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引用次数: 0

摘要

保持骨骼肌质量对于提高肌肉力量和功能非常重要。因此,最大限度地增加瘦体重(LBM)是精英运动员和健身爱好者的首要目标。氨基酸作为膳食补充剂在运动员和体力活动者中的使用非常普遍。广泛的文献分析表明,支链氨基酸(BCAA)、肌酸、谷氨酰胺和 β-丙氨酸可能有益于调节骨骼肌新陈代谢、增强 LBM 和减轻运动引起的肌肉损伤。这篇综述详细介绍了这些氨基酸的作用机制,并深入分析了它们作为营养补充剂的功效。然后概述了推荐剂量和潜在的副作用,以帮助运动员做出明智的选择并保障他们的健康。最后,探讨了现有文献的局限性,强调了未来研究的机遇。
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Amino acids regulating skeletal muscle metabolism: mechanisms of action, physical training dosage recommendations and adverse effects.

Maintaining skeletal muscle mass is important for improving muscle strength and function. Hence, maximizing lean body mass (LBM) is the primary goal for both elite athletes and fitness enthusiasts. The use of amino acids as dietary supplements is widespread among athletes and physically active individuals. Extensive literature analysis reveals that branched-chain amino acids (BCAA), creatine, glutamine and β-alanine may be beneficial in regulating skeletal muscle metabolism, enhancing LBM and mitigating exercise-induced muscle damage. This review details the mechanisms of these amino acids, offering insights into their efficacy as supplements. Recommended dosage and potential side effects are then outlined to aid athletes in making informed choices and safeguard their health. Lastly, limitations within the current literature are addressed, highlighting opportunities for future research.

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来源期刊
Nutrition & Metabolism
Nutrition & Metabolism 医学-营养学
CiteScore
8.40
自引率
0.00%
发文量
78
审稿时长
4-8 weeks
期刊介绍: Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects. The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases. Key areas we wish to encourage submissions from include: -how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes; -the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components; -how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved; -how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.
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