伴侣介导的自噬作为衰老和长寿的调节剂。

IF 3.3 Q2 GERIATRICS & GERONTOLOGY
Frontiers in aging Pub Date : 2024-12-02 eCollection Date: 2024-01-01 DOI:10.3389/fragi.2024.1509400
S Joseph Endicott
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引用次数: 0

摘要

伴侣介导的自噬(CMA)是单独选择的蛋白质的溶酶体降解,独立于囊泡融合。CMA是脊椎动物细胞中蛋白质静止网络的核心部分。然而,CMA也是合成代谢的负调节因子,它会降解糖酵解、新生脂肪生成和细胞质核糖体翻译所需的酶。近年来,CMA作为一种可能的啮齿动物衰老调节剂引起了人们的关注。已经提出了两种机制模型来解释CMA与小鼠衰老之间的关系。这两种模型都有实验数据支持,它们并不相互排斥。模型1,即“长寿模型”,表明通过INS/IGF1信号轴减少信号的延长寿命的干预措施也会增加CMA,从而降低(从而减少丰度)几种负调节脊椎动物寿命的蛋白质,如MYC, NLRP3, ACLY和ACSS2。因此,在早期和中年,CMA的增强被认为可以减缓衰老过程。模型2,“衰老模型”指出,随着年龄的增长,溶酶体膜动力学的变化导致与年龄相关的CMA基本成分LAMP2A的损失,这反过来又减少了CMA,导致与年龄相关的蛋白质平衡崩溃,并导致蛋白质的过度积累,从而导致与年龄相关的疾病,如阿尔茨海默病、帕金森病、癌症、动脉粥样硬化和不育性炎症。这篇综述的目的是全面描述支持这两个解释模型的数据,并讨论每个模型的优势和局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Chaperone-mediated autophagy as a modulator of aging and longevity.

Chaperone-mediated autophagy (CMA) is the lysosomal degradation of individually selected proteins, independent of vesicle fusion. CMA is a central part of the proteostasis network in vertebrate cells. However, CMA is also a negative regulator of anabolism, and it degrades enzymes required for glycolysis, de novo lipogenesis, and translation at the cytoplasmic ribosome. Recently, CMA has gained attention as a possible modulator of rodent aging. Two mechanistic models have been proposed to explain the relationship between CMA and aging in mice. Both of these models are backed by experimental data, and they are not mutually exclusionary. Model 1, the "Longevity Model," states that lifespan-extending interventions that decrease signaling through the INS/IGF1 signaling axis also increase CMA, which degrades (and thereby reduces the abundance of) several proteins that negatively regulate vertebrate lifespan, such as MYC, NLRP3, ACLY, and ACSS2. Therefore, enhanced CMA, in early and midlife, is hypothesized to slow the aging process. Model 2, the "Aging Model," states that changes in lysosomal membrane dynamics with age lead to age-related losses in the essential CMA component LAMP2A, which in turn reduces CMA, contributes to age-related proteostasis collapse, and leads to overaccumulation of proteins that contribute to age-related diseases, such as Alzheimer's disease, Parkinson's disease, cancer, atherosclerosis, and sterile inflammation. The objective of this review paper is to comprehensively describe the data in support of both of these explanatory models, and to discuss the strengths and limitations of each.

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