A Glb1-2A-mCherry reporter monitors systemic aging and predicts lifespan in middle-aged mice.
A Glb1-2A-mCherry reporter monitors systemic aging and predicts lifespan in middle-aged mice.
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Glb1-2A-mCherry 报告基因监测中年小鼠的全身衰老并预测寿命
DOI:
10.1038/s41467-022-34801-9
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发表时间:
2022-11-17
影响因子:
16.6
通讯作者:
Liu, Baohua
中科院分区:
文献类型:
--
作者:
Sun, Jie;Wang, Ming;Zhong, Yaqi;Ma, Xuan;Sun, Shimin;Xu, Chenzhong;Peng, Linyuan;Li, Guo;Zhang, Liting;Liu, Zuojun;Ai, Ding;Liu, Baohua
The progressive decline of physiological function and the increased risk of age-related diseases challenge healthy aging. Multiple anti-aging manipulations, such as senolytics, have proven beneficial for health; however, the biomarkers that label in vivo senescence at systemic levels are lacking, thus hindering anti-aging applications. In this study, we generate a Glb1+/m‒Glb1-2A-mCherry (GAC) reporter allele at the Glb1 gene locus, which encodes lysosomal β-galactosidase—an enzyme elevated in tissues of old mice. A linear correlation between GAC signal and chronological age is established in a cohort of middle-aged (9 to 13 months) Glb1+/m mice. The high GAC signal is closely associated with cardiac hypertrophy and a shortened lifespan. Moreover, the GAC signal is exponentially increased in pathological senescence induced by bleomycin in the lung. Senolytic dasatinib and quercetin (D + Q) reduce GAC signal in bleomycin treated mice. Thus, the Glb1-2A-mCherry reporter mice monitors systemic aging and function decline, predicts lifespan, and may facilitate the understanding of aging mechanisms and help in the development of anti-aging interventions. Monitoring the aging process in vivo is challenging. Here the authors generate a Glb1+/m‒Glb1-2A-mCherry (GAC) reporter mouse model, where the GAC signal is consistently correlated with established biomarkers of cellular senescence, cardiac hypertrophy and shortened lifespan, which may prove helpful for studies developing anti-aging interventions.
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影响因子:
64.5
作者:
López-Otín C;Blasco MA;Partridge L;Serrano M;Kroemer G
通讯作者:
Kroemer G
影响因子:
64.5
作者:
Burd CE;Sorrentino JA;Clark KS;Darr DB;Krishnamurthy J;Deal AM;Bardeesy N;Castrillon DH;Beach DH;Sharpless NE
通讯作者:
Sharpless NE
影响因子:
64.8
作者:
Baker DJ;Childs BG;Durik M;Wijers ME;Sieben CJ;Zhong J;Saltness RA;Jeganathan KB;Verzosa GC;Pezeshki A;Khazaie K;Miller JD;van Deursen JM
通讯作者:
van Deursen JM
影响因子:
20.1
作者:
North BJ;Sinclair DA
通讯作者:
Sinclair DA
影响因子:
3.7
作者:
HAYFLICK, L;MOORHEAD, PS
通讯作者:
MOORHEAD, PS