Emerging insights in senescence: pathways from preclinical models to therapeutic innovations.

IF 4.1 Q2 GERIATRICS & GERONTOLOGY npj aging Pub Date : 2024-11-22 DOI:10.1038/s41514-024-00181-1
Luke Mansfield, Valentina Ramponi, Kavya Gupta, Thomas Stevenson, Abraham Binoy Mathew, Agian Jeffilano Barinda, Florencia Herbstein, Samir Morsli
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Abstract

Senescence is a crucial hallmark of ageing and a significant contributor to the pathology of age-related disorders. As committee members of the young International Cell Senescence Association (yICSA), we aim to synthesise recent advancements in the identification, characterisation, and therapeutic targeting of senescence for clinical translation. We explore novel molecular techniques that have enhanced our understanding of senescent cell heterogeneity and their roles in tissue regeneration and pathology. Additionally, we delve into in vivo models of senescence, both non-mammalian and mammalian, to highlight tools available for advancing the contextual understanding of in vivo senescence. Furthermore, we discuss innovative diagnostic tools and senotherapeutic approaches, emphasising their potential for clinical application. Future directions of senescence research are explored, underscoring the need for precise, context-specific senescence classification and the integration of advanced technologies such as machine learning, long-read sequencing, and multifunctional senoprobes and senolytics. The dual role of senescence in promoting tissue homoeostasis and contributing to chronic diseases highlights the complexity of targeting these cells for improved clinical outcomes.

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衰老的新见解:从临床前模型到治疗创新的途径。
衰老是衰老的一个重要标志,也是老年相关疾病病理学的一个重要因素。作为年轻的国际细胞衰老协会(yICSA)的委员会成员,我们的目标是综合衰老的识别、特征描述和治疗靶向方面的最新进展,以实现临床转化。我们探讨了新的分子技术,这些技术提高了我们对衰老细胞异质性及其在组织再生和病理学中作用的认识。此外,我们还深入研究了非哺乳动物和哺乳动物的体内衰老模型,重点介绍了可用于推进体内衰老背景理解的工具。此外,我们还讨论了创新诊断工具和衰老治疗方法,强调了它们的临床应用潜力。我们还探讨了衰老研究的未来方向,强调需要进行精确的、针对具体环境的衰老分类,并整合机器学习、长线程测序、多功能衰老探针和衰老溶解剂等先进技术。衰老在促进组织稳态和导致慢性疾病方面的双重作用凸显了靶向这些细胞以改善临床效果的复杂性。
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Decoding senescence of aging single cells at the nexus of biomaterials, microfluidics, and spatial omics. Association between gut microbiota and locomotive syndrome risk in healthy Japanese adults: a cross-sectional study. Predicting poor performance on cognitive tests among older adults using wearable device data and machine learning: a feasibility study. Aging modulates the impact of cognitive interference subtypes on dynamic connectivity across a distributed motor network. Emerging insights in senescence: pathways from preclinical models to therapeutic innovations.
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