Impacts of hurricanes and social buffering on biological aging in a free-ranging animal model

飓风和社会缓冲对自由放养动物生物衰老的影响 型号 自然灾害对人类的健康和福祉造成了严重的破坏。这样的灾难有 有可能加速衰老进程，这是大多数疾病的主要风险因素。 查明自然灾害加速老龄化的后果并减轻其影响 因此很关键。然而，自然灾害并不是平等地影响所有人--有 个体健康结果的丰富差异。证据表明，社会支持是一种 应对包括自然灾害在内的逆境后果的关键缓冲。但准确地说 如何通过社会支持来缓解因灾难而导致的健康和寿命下降 仍然难以捉摸。理解上的差距部分是道德和后勤挑战的结果 对灾区人类的研究，包括基线数据的可用性，以及我们的能力 要量化不止几个领域的衰老(例如，血液中的分子标记、物理上的 脆弱)。人类也非常长寿，阻碍了对体内加速衰老的纵向研究 个人，他们倾向于移民，远离环境灾难，使主体产生偏见 向受影响人口的某些成员提供资金池。这些困难可以通过以下方式克服 研究寿命较短的非人类灵长类，它们的生物学和行为与 人类，暴露在自然灾害中。 该提案的目标是利用由1年期R56(R56- AG071023)在我们对圣地亚哥卡约恒河猴种群老龄化的长期研究中 波多黎各岛屿，2017年和2022年分别受到飓风玛丽亚和菲奥娜的严重影响。 我们的目标是使用这个自然实验模型来量化自然灾害的影响 生物年龄在多个老化领域(分子、生理、身体)，并测试是否社会 Support缓冲了这些效果。 我们将量化自然灾害对生物年龄和老龄化速度的影响(目标1)。 三种方法：(A)使用数据，特别是死后组织，在个人之间，我们将测试 经历过飓风的动物表现出比实际年龄更大的生物学年龄 (B)使用相同在世个体的纵向数据，我们将测试他们的 飓风加快了他们老化的速度；(C)飓风之间的比较 玛丽亚和菲奥娜，我们将量化自然灾害的累积年龄影响，预测 经历过两次灾难的人在生物学上看起来更老了 与那些只活过一次的人相比，他们的衰老速度更快。 然后我们将量化社会支持在多大程度上缓冲自然的影响 生物年龄灾难(目标2)，使用老龄化领域的数据。我们预测，个人 有更多的社会支持将表现出较低的生物年龄，以及较慢的老龄化速度 对飓风的反应，并将缓冲年龄效应累积多次 灾难。 我们的研究将为关于如何自然的基本问题提供前所未有的见解 灾害影响老龄化进程，以及社会如何缓冲加速老龄化 资源，在与人类最相关的健康、疾病和衰老的动物模型中-恒河猴 猕猴。

Impacts of hurricanes and social buffering on biological aging in a free-ranging animal model Natural disasters are deeply damaging to human health and welfare. Such disasters have the potential to accelerate the aging process, which is the primary risk factor for most diseases. Identifying age-accelerating consequences of natural disasters and mitigating their impacts is therefore critical. However, natural disasters do not affect all individuals equally - there is abundant variation in individual health outcomes. Evidence suggests that social support is a critical buffer against the consequences of adversity, including natural disasters. But precisely how social support gets under the skin to mitigate disaster-linked declines in health and lifespan remains elusive. Gaps in understanding are partly the result of ethical and logistical challenges to the study of humans in disaster zones, including the availability of baseline data, and our ability to quantify aging across more than a few domains (e.g., molecular markers in blood, physical frailty). Humans are also very long-lived, impeding longitudinal study of accelerated aging within individuals, and they tend to emigrate away from environmental catastrophes, biasing subject pools toward certain members of affected populations. These difficulties can be overcome by studying shorter-lived nonhuman primates, which share much of their biology and behavior with humans, exposed to natural disasters. The objective of this proposal is to leverage pilot data generated by a 1-year R56 (R56- AG071023) in our long-term study of aging in the rhesus macaque population of Cayo Santiago island, Puerto Rico, which was heavily impacted by Hurricanes Maria in 2017 and Fiona in 2022. Our objective is to use this natural experimental model to quantify how natural disasters affect biological age in multiple aging domains (molecular, physiological, physical), and to test if social support buffers these effects. We will quantify the effects of natural disasters on biological age and the pace of aging (Aim 1) in three ways: (a) Using data, particularly post-mortem tissues, across individuals, we will test if animals that experienced a hurricane exhibit older biological ages for their chronological age than those who did not; (b) Using longitudinal data in the same living individuals we will test if their pace at which they are aging is accelerated by a hurricane; (c) Comparing across Hurricanes Maria and Fiona, we will quantify the cumulative age effects of natural disasters, predicting individuals that lived through two disasters will appear biologically older for their chronological age, and have a faster pace of aging, than individuals that only lived through one. We will then quantify the extent to which social support buffers against the effects of natural disasters on biological age (Aim 2), using data across aging domains. We predict that individuals with greater social support will exhibit lower biological ages, and a slower pace of aging, in response to a hurricane, and will be buffered from age effects accumulating over multiple disasters. Our study will provide unprecedented insights into fundamental questions about how natural disasters affect the aging process, and how accelerated aging can be buffered by social resources, in the most human-relevant animal model of health, disease, and aging – the rhesus macaque.