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基于 Smurfness 的两阶段衰老模型有助于解析衰老的转录特征。

Smurfness-based two-phase model of ageing helps deconvolve the ageing transcriptional signature.

机构信息

Université Paris Cité, INSERM UMR U1284, Paris, France.

Institut de Biologie Paris Seine, Sorbonne Université, Paris, France.

出版信息

Aging Cell. 2023 Nov;22(11):e13946. doi: 10.1111/acel.13946. Epub 2023 Oct 12.

Abstract

Ageing is characterised at the molecular level by six transcriptional 'hallmarks of ageing', that are commonly described as progressively affected as time passes. By contrast, the 'Smurf' assay separates high-and-constant-mortality risk individuals from healthy, zero-mortality risk individuals, based on increased intestinal permeability. Performing whole body total RNA sequencing, we found that Smurfness distinguishes transcriptional changes associated with chronological age from those associated with biological age. We show that transcriptional heterogeneity increases with chronological age in non-Smurf individuals preceding the other five hallmarks of ageing that are specifically associated with the Smurf state. Using this approach, we also devise targeted pro-longevity genetic interventions delaying entry in the Smurf state. We anticipate that increased attention to the evolutionary conserved Smurf phenotype will bring about significant advances in our understanding of the mechanisms of ageing.

摘要

衰老是在分子水平上的六个转录“衰老的标志”的特点,通常被描述为随着时间的推移而逐渐受到影响。相比之下,“Smurf”检测基于增加的肠道通透性,将高死亡率和低死亡率的个体与健康、零死亡率的个体区分开来。通过进行全身总 RNA 测序,我们发现 Smurfness 区分了与生理年龄相关的转录变化和与时间年龄相关的转录变化。我们表明,在与 Smurf 状态相关的其他五个衰老标志之前,非 Smurf 个体的转录异质性随着时间年龄的增加而增加。使用这种方法,我们还设计了针对延长寿命的遗传干预措施,以延迟进入 Smurf 状态。我们预计,对进化保守的 Smurf 表型的更多关注将极大地促进我们对衰老机制的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68c2/10652310/a2e1ebb588f1/ACEL-22-e13946-g002.jpg

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