Translational geroscience: From invertebrate models to companion animal and human interventions

Mitchell B. Lee, Matt Kaeberlein
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引用次数: 22

Abstract

Translational geroscience is an interdisciplinary field descended from basic gerontology that seeks to identify, validate, and clinically apply interventions to maximize healthy, disease-free lifespan. In this review, we describe a research pipeline for the identification and validation of lifespan extending interventions. Beginning in invertebrate model systems, interventions are discovered and then characterized using other invertebrate model systems (evolutionary translation), models of genetic diversity, and disease models. Vertebrate model systems, particularly mice, can then be utilized to validate interventions in mammalian systems. Collaborative, multi-site efforts, like the Interventions Testing Program (ITP), provide a key resource to assess intervention robustness in genetically diverse mice. Mouse disease models provide a tool to understand the broader utility of longevity interventions. Beyond mouse models, we advocate for studies in companion pets. The Dog Aging Project is an exciting example of translating research in dogs, both to develop a model system and to extend their healthy lifespan as a goal in itself. Finally, we discuss proposed and ongoing intervention studies in humans, unmet needs for validating interventions in humans, and speculate on how differences in survival among human populations may influence intervention efficacy.

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转化老年科学:从无脊椎动物模型到伴侣动物和人类干预
转化老年科学是一个跨学科领域,起源于基础老年学,旨在识别、验证和临床应用干预措施,以最大限度地提高健康、无疾病的寿命。在这篇综述中,我们描述了一个研究管道来识别和验证延长寿命的干预措施。从无脊椎动物模型系统开始,干预措施被发现,然后使用其他无脊椎动物模型系统(进化翻译)、遗传多样性模型和疾病模型来表征。脊椎动物模型系统,特别是小鼠,可以用来验证哺乳动物系统的干预措施。像干预测试计划(ITP)这样的多站点合作努力,为评估基因多样性小鼠的干预稳健性提供了关键资源。小鼠疾病模型为理解长寿干预的更广泛效用提供了工具。除了小鼠模型,我们提倡在伴侣宠物身上进行研究。狗衰老项目是一个令人兴奋的例子,它将狗的研究转化为开发一个模型系统,并将延长它们的健康寿命作为本身的目标。最后,我们讨论了拟议的和正在进行的人类干预研究,验证人类干预措施的未满足需求,并推测人类种群之间的生存差异如何影响干预效果。
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来源期刊
Translational Medicine of Aging
Translational Medicine of Aging Medicine-Geriatrics and Gerontology
CiteScore
5.30
自引率
0.00%
发文量
2
审稿时长
103 days
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