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实时监测衰老报告小鼠模型的研究进展

孙洁^1,2, 王宇宁³, 罗珊珊⁴, 刘宝华^1,2,*

¹深圳大学基础医学院，深圳 518060；²深圳市系统衰老与主动健康重点实验室，深圳 518060；³临床试验中心，国家癌症中心/国家肿瘤临床医学研究中心/中国医学科学院北京协和医学院肿瘤医院，北京 100021；⁴汕头大学医学院罗湖临床学院，深圳 518005

摘要

衰老是老年慢性疾病的独立危险因素，理解衰老机制是实现这些疾病早期预防与有效干预的关键之一。系统衰老是动态演进的过程，其机制研究面临挑战。随着对细胞衰老与系统衰老相关生物标志物研究的进展以及小动物活体光学成像的发展，国内外同行构建了越来越多的实时监测衰老报告小鼠模型，助力衰老机制与干预策略研究。本文基于几种经典的、广泛应用的衰老生物标志物(p16^Ink4a、p21^Waf1/Cip1、p53和Glb1)，归纳了近些年来与其相关的实时监测衰老报告小鼠模型，综合分析了它们在系统衰老研究中的应用价值

关键词： 衰老; 实时监测报告小鼠; p16INK4a; p21Waf1/Cip1; p53; Glb1

Advances in live-imaging aging reporter mice

SUN Jie^1,2, WANG Yu-Ning³, LUO Shan-Shan⁴, LIU Bao-Hua^1,2,*

¹School of Basic Medical Science, Shenzhen University, Shenzhen 518060, China；²Shenzhen Key Laboratory for Systemic Aging and Intervention (SKL-SAI), Shenzhen 518060, China；³Clinical Trial Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China；⁴Luohu Clinical Institute of Shantou University Medical College, Shenzhen 518005, China

Abstract

Aging is an independent risk factor for chronic diseases in the elderly, and understanding aging mechanisms is one of the keys to achieve early prevention and effective intervention for the diseases. Aging process is dynamic and systemic, making it difficult for mechanistic study. With recent advances in aging biomarkers and development of live-imaging technologies, more and more reporter mouse models have been generated, which can live monitor the aging process, and help investigate aging mechanisms at systemic level and develop intervention strategies. This review summarizes recent advances in live-imaging aging reporter mouse models based on widely used aging biomarkers (p16^Ink4a, p21^Waf1/Cip1, p53 and Glb1), and discusses their applications in aging research.

Key words: Aging; live-imaging reporter mice; p16INK4a; p21Waf1/Cip1; p53; Glb1

收稿日期：　　录用日期：

通讯作者：刘宝华　　E-mail: ppliew@szu.edu.cn

DOI: 10.13294/j.aps.2023.0079

引用本文：

孙洁, 王宇宁, 罗珊珊, 刘宝华. 实时监测衰老报告小鼠模型的研究进展[J]. 生理学报 2023; 75 (6): 836-846.

SUN Jie, WANG Yu-Ning, LUO Shan-Shan, LIU Bao-Hua. Advances in live-imaging aging reporter mice. Acta Physiol Sin 2023; 75 (6): 836-846 (in Chinese with English abstract).