通过营养和代谢控制模式生物中的氨基酸信号来调节衰老机制

IF 8.7 1区 生物学 Q1 GENETICS & HEREDITY Annual review of genetics Pub Date : 2024-06-10 DOI:10.1146/annurev-genet-111523-102042
Fumiaki Obata, Masayuki Miura
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引用次数: 0

摘要

生命活动由复杂的新陈代谢网络支持,而新陈代谢网络的动力来自营养物质。对模型生物进行的营养和遗传研究发现,饮食限制和胰岛素信号通路的某些突变会导致寿命延长。随后,从酵母到哺乳动物等多种生物都对衰老的详细机制以及各种营养信号通路及其关系进行了研究。这篇综述总结了营养和代谢信号在衰老和寿命中的作用,重点是氨基酸--生物体的组成部分。我们讨论了特定氨基酸的感应、传导和代谢如何影响寿命,并考虑了生命阶段、性别和遗传背景对营养控制衰老的影响。我们的目标是加深我们对营养物质如何影响衰老的理解,从而为衰老和寿命的生物学研究做出贡献。
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Regulatory Mechanisms of Aging Through the Nutritional and Metabolic Control of Amino Acid Signaling in Model Organisms.

Life activities are supported by the intricate metabolic network that is fueled by nutrients. Nutritional and genetic studies in model organisms have determined that dietary restriction and certain mutations in the insulin signaling pathway lead to lifespan extension. Subsequently, the detailed mechanisms of aging as well as various nutrient signaling pathways and their relationships have been investigated in a wide range of organisms, from yeast to mammals. This review summarizes the roles of nutritional and metabolic signaling in aging and lifespan with a focus on amino acids, the building blocks of organisms. We discuss how lifespan is affected by the sensing, transduction, and metabolism of specific amino acids and consider the influences of life stage, sex, and genetic background on the nutritional control of aging. Our goal is to enhance our understanding of how nutrients affect aging and thus contribute to the biology of aging and lifespan.

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来源期刊
Annual review of genetics
Annual review of genetics 生物-遗传学
CiteScore
18.30
自引率
0.90%
发文量
17
期刊介绍: The Annual Review of Genetics, published since 1967, comprehensively covers significant advancements in genetics. It encompasses various areas such as biochemical, behavioral, cell, and developmental genetics, evolutionary and population genetics, chromosome structure and transmission, gene function and expression, mutation and repair, genomics, immunogenetics, and other topics related to the genetics of viruses, bacteria, fungi, plants, animals, and humans.
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