老化
DNA修复
生物
基因
遗传学
早熟
DNA损伤
细胞生物学
DNA
作者
Ivar van Galen,María B. Birkisdóttir,Rutger A. Ozinga,Renata M. C. Brandt,Sander Barnhoorn,Sandra Imholz,Conny T. van Oostrom,Ricfrid W G N van der Marel,Kimberly Smit,Yvonne Rijksen,Erwin Reiling,Harry van Steeg,Jan H.J. Hoeijmakers,Martijn E.T. Dollé,Wilbert P. Vermeij
标识
DOI:10.1038/s44324-025-00064-3
摘要
Dietary composition can significantly influence health and lifespan, however, robust knowledge on which food components, at what concentration exert which long-term health effects is still incomplete. Here, we explored the effects of dietary protein intake on Ercc1 Δ/- DNA-repair-deficient mice, which are an excellent model for accelerated ageing and are hyperresponsive to the anti-ageing effect of dietary restriction. Restricting dietary protein by 50% extended lifespan in male mice, but not in females. Restricting protein levels beyond 80% improved various neurological health parameters, while a further reduction to 95% affected appetite and became distinctly detrimental. Conversely, a near doubling of protein intake and isocaloric compensatory lowering with carbohydrates significantly shortened lifespan in both sexes. Gene expression analysis of liver from mice on a high-protein, low-carbohydrate diet to those on high-carbohydrate, low-protein revealed increased expression of oxidative phosphorylation, enrichment of processes associated with tissue injury, inflammation, and gene-length-dependent transcriptional decline (GLTD), recently shown to reflect DNA damage accumulation causing transcription stress, and cellular ageing. Finally, GLTD was also identified by reanalysis of publicly available data of wild-type mice, rats and humans on high-protein diets, suggesting that increased dietary protein enhances GLTD and accelerates systemic ageing. Together, our findings have implications for nutritional guidelines for progeroid DNA-repair-deficient human syndromes, warrant the use of excessive protein intake for sustaining health, and suggests GLTD as a sensitive read-out of overall health and predictor of biological ageing.
科研通智能强力驱动
Strongly Powered by AbleSci AI