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衰老科学新方向:整合生物衰老的社会和行为驱动因素。

New Directions in Geroscience: Integrating Social and Behavioral Drivers of Biological Aging.

机构信息

From the Division of Behavioral and Social Research (Nielsen), National Institute on Aging, National Institutes of Health. Bethesda, Maryland; Department of Psychology (Marsland), University of Pittsburgh, Pittsburgh, Pennsylvania; and Department of Psychiatry and Behavioral Sciences (Hamlat, Epel), University of California, San Francisco, San Francisco, California.

出版信息

Psychosom Med. 2024 Jun 1;86(5):360-365. doi: 10.1097/PSY.0000000000001320. Epub 2024 May 9.

Abstract

The "geroscience hypothesis" posits that slowing the physiological processes of aging would lead to delayed disease onset and longer healthspan and lifespan. This shift from a focus on solely treating existing disease to slowing the aging process is a shift toward prevention, including a focus on risk factors found in the social environment. Although geroscience traditionally has focused on the molecular and cellular drivers of biological aging, more fundamental causes of aging may be found in the social exposome-the complex array of human social environmental exposures that shape health and disease. The social exposome may interact with physiological processes to accelerate aging biology. In this commentary, we review the potential of these insights to shape the emerging field of translational geroscience. The articles in this special issue highlight how social stress and social determinants of health are associated with biomarkers of aging such as inflammation, epigenetic clocks, and telomeres, and spotlight promising interventions to mitigate stress-related inflammation. For geroscience to incorporate the social exposome into its translational agenda, studies are needed that elucidate and quantify the effects of social exposures on aging and that consider social exposures as intervention targets. The life course perspective allows us to measure both exposures and aging biology over time including sensitive periods of development and major social transitions. In addition, given rapid changes in the measurement of aging biology, which include machine learning techniques, multisystem phenotypes of aging are being developed to better reflect whole body aging, replacing reliance on single system biomarkers. In this expanded and more integrated field of translational geroscience, strategies targeting factors in the social exposome hold promise for achieving aging health equity and extending healthy longevity.

摘要

“衰老科学假说”认为,减缓衰老的生理过程将导致疾病发病时间推迟、健康寿命和寿命延长。这种从单纯关注治疗现有疾病到减缓衰老过程的转变是一种向预防的转变,包括关注社会环境中发现的危险因素。尽管衰老科学传统上一直关注生物衰老的分子和细胞驱动因素,但衰老的更根本原因可能存在于社会暴露组中,即塑造健康和疾病的人类社会环境暴露的复杂数组。社会暴露组可能与生理过程相互作用,加速衰老生物学。在这篇评论中,我们回顾了这些见解塑造新兴转化衰老科学领域的潜力。本期特刊中的文章强调了社会压力和健康的社会决定因素如何与衰老生物标志物(如炎症、表观遗传时钟和端粒)相关联,并强调了有希望的减轻与压力相关的炎症的干预措施。为了使衰老科学将社会暴露组纳入其转化议程,需要进行研究,阐明和量化社会暴露对衰老的影响,并将社会暴露视为干预目标。生命历程视角使我们能够随着时间的推移测量暴露和衰老生物学,包括发育和重大社会转型的敏感时期。此外,鉴于衰老生物学的测量正在迅速变化,包括机器学习技术,正在开发多系统衰老表型以更好地反映全身衰老,取代对单一系统生物标志物的依赖。在这个扩展和更综合的转化衰老科学领域中,针对社会暴露组因素的策略有望实现衰老健康公平和延长健康长寿。

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