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模型生物衰老的影响

• 批准号: 10781021
• 负责人: Lauren Johanna Nicole Brent
• 金额: $ 68.51万
• 依托单位: NEW YORK UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-30 至 2028-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10781021
• 关键词: Acceleration; Adverse event; Affect; Age; Age of Onset; Aging; Animal Model; Animal Testing; Animals; Autopsy; Behavior; Behavioral; Biological; Biological Aging; Biological Markers; Biology; Blood; Body fat; Brain; Buffers; Cardiovascular Diseases; Cells; Cessation of life; Chronology; Data; Development; Disasters; Disease; Economics; Emigrations; Ethics; Exhibits; Experimental Models; Exposure to; Face; Female; Floods; Florida; Frequencies; Gene Expression Regulation; Health; Heart; Human; Hurricane; Immune; Incidence; Individual; Inflammation; Intervention; Investigation; Island; Link; Longevity; Longitudinal Studies; Macaca; Macaca mulatta; Measures; Mitochondria; Modeling; Molecular; Monkeys; Movement; Muscle; Natural Disasters; Natural experiment; Outcome; Persons; Physiological; Population; Process; Puerto Rico; Resources; Risk; Risk Factors; Risk Marker; Sampling; Skin; Social status; Social support; Stroke; Structure; Survivors; Testing; Texas; Tissue Sample; Tissues; Variant; Woman; age effect; age related; aging population; body system; experience; frailty; healthspan; immune activation; insight; joint mobilization; male; man; member; molecular marker; muscle form; nonhuman primate; response; sex; social; social integration; social relationships; stressor; telomere; trait; welfare

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.

飓风和社会缓冲对自由放养动物的生物衰老的影响 模型 自然灾害对人类健康和福利有严重破坏。这样的灾难有 潜力加速衰老过程，这是大多数疾病的主要危险因素。 确定自然灾害的年龄加速后果并减轻其影响是 因此至关重要。但是，自然灾害并不影响所有个人 - 个人健康成果的最丰富差异。有证据表明社会支持是 对广告的后果（包括自然灾害）的后果进行关键缓冲。但正是 社会支持如何在皮肤下降低健康和寿命的灾难下降 仍然难以捉摸。理解差距部分是道德和后勤挑战的结果 人类在灾难区的研究，包括基线数据的可用性，我们的能力 量化多个领域的衰老（例如，血液中的分子标记，物理标记 脆弱）。人类也是非常长的寿命，阻碍了对加速衰老的纵向研究 个人，他们倾向于远离环境灾难，有偏见的主题 向某些受影响人群的成员池。这些困难可以通过 研究较短的寿命非人类素数，它们与他们的大部分生物学和行为与 人类，暴露于自然灾害。 该建议的目的是利用1年R56产生的试点数据（R56-- AG071023）在我们长期研究Cayo Santiago猕猴种群的衰老研究中 波多黎各岛（Island），2017年受到玛丽亚飓风的影响，并于2022年受到菲奥娜的影响。 我们的目标是使用这种自然实验模型来量化自然灾害的影响 多个衰老领域（分子，物理，物理）的生物年龄，并测试是否社交 支持缓冲这些效果。 我们将量化自然灾害对生物年龄和衰老速度的影响（AIM 1） 三种方式：（a）使用个人，尤其是近距离验尸组织的数据，我们将测试是否 经历了飓风的动物按年代的年龄表现出年龄较大的生物年龄 那些没有的人； （b）使用同一活人中的纵向数据，我们将测试他们的 飓风加速了他们老化的空间； （c）在飓风中进行比较 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 经历两次灾难的人会以年代的年龄为生。 年龄，并且比只有一个人的人的衰老速度更快。 然后，我们将量化社会支持缓冲反对自然影响的程度 生物年龄灾难（AIM 2），使用跨老化域的数据。我们预测个人 有了更大的社会支持，将暴露于较低的生物年龄，并且衰老的空间较慢 对飓风的反应，并将因多次累积的年龄效应而缓冲 灾难。 我们的研究将为有关自然的基本问题提供前所未有的见解 灾难会影响衰老过程，以及如何通过社会缓冲衰老 资源，最相关的健康，疾病和衰老的动物模型 - 恒河猴 猕猴。