Exceptional Longevity and Biobehavioral Aging in Rhesus Macaques

恒河猴的异常长寿与生物行为衰老 随着人类寿命的增加，一个关键的挑战是同时提高健康寿命， 我们在良好的健康。研究长寿个体的独特特征（ExLong） 是实现这一目标的一种战略方法，但预测谁活得最长可能是一个挑战。的PI 最近发现，在人类健康的高度翻译的非人类灵长类动物（NHP）模型中， 恒河猴，一些家庭表现出异常长寿，类似于人类。这一发现代表了 这是一个独特的机会来确定更长寿，更健康的生活的驱动因素，因为它将使我们能够预先选择 有长寿倾向的人进行研究。我们将着重于确定生物行为健康因素 （认知参与，积极应对压力，健康促进决策）在健康老龄化中发挥作用， ExLong个人，因为他们可以随着年龄的增长而改善福祉，并推动更健康的结果。到 为了实现这些目标，我们建议创建一个新的工具来调查ExLong个体的生物行为老化 在美国最大的老龄NHP资源之一--加州国家灵长类动物中进行了研究 NIA研究中心资助的老龄化群体。该资源包括100只老年（20岁或以上）恒河猴 猴子，每年约有50只新猴子“老化”。我们将开发一种创新的高通量快速 评估使用尖端技术来捕捉生物行为老化的个体差异： 认知衰退与认知灵活性，抑郁与恢复力，逃避与探索，以及社交 动机与退缩然后我们将建立一个中年和老年恒河猴的生物行为衰老图 猴子使用这些工具，我们将验证家族性ExLong模型，并询问独特的 ExLong个体的生物行为特征。这种创新的老龄化模式预计将产生新的 目标是增加健康寿命和寿命。

Exceptional Longevity and Biobehavioral Aging in Rhesus Macaques As human lifespan increases, a critical challenge is to simultaneously improve healthspan, the length of time we spend in good health. Studying the unique characteristics of individuals with exceptional longevity (ExLong) is a strategic method to achieve that objective, but it can be challenging to predict who will live longest. The PI has recently discovered that in a highly translational non-human primate (NHP) model of human health, the rhesus macaque, some families exhibit exceptional longevity, analogous to humans. This discovery represents a unique opportunity to identify drivers of a longer, healthier life, because it will allow us to pre-select individuals predisposed to longevity for study. We will focus on identifying the biobehavioral health factors (cognitive engagement, active stress coping, health promoting decisions) that play a role in healthy aging in ExLong individuals, because they can improve well-being as we age, as well as drive healthier outcomes. To accomplish these goals, we propose to create a new tool to survey biobehavioral aging in ExLong individuals and controls in one of the largest resources of aging NHPs in the U.S. - the California National Primate Research Center NIA funded aging colony. This resource includes 100 geriatric (20 years or older) rhesus monkeys, with ~50 new monkeys “aging-in” annually. We will develop an innovative and high-throughput rapid assessment that uses cutting edge technology to capture individual differences in biobehavioral aging: cognitive decline vs. cognitive flexibility, depression vs. resilience, avolition vs. exploration, and social motivation vs. withdrawal. We will then create a biobehavioral aging map in middle aged and geriatric rhesus monkeys. Using these tools, we will validate the familial ExLong model and interrogate the unique biobehavioral characteristics of ExLong individuals. This innovative aging model is anticipated to generate new targets to increase healthspan and longevity.