Investigating the role of sleep in brain resilience during aging using a scalable and short-lived vertebrate model

使用可扩展且寿命较短的脊椎动物模型研究睡眠在衰老过程中大脑恢复能力中的作用

基本信息

批准号：
10740068
负责人：
Ravi Nath
金额：
$ 12.83万
依托单位：
STANFORD UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2023
资助国家：
美国
起止时间：
2023-08-15 至 2025-07-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10740068
关键词：
Acceleration Adolescence Advisory Committees Affect African Age Aging Alzheimer&apos s Disease Alzheimer&apos s disease model Alzheimer&apos s disease risk Amyloid Amyloid beta-Protein Animals Award Behavior Behavioral Biological Models Biology of Aging Brain Brain Diseases CRISPR/Cas technology Caffeine Cessation of life Clustered Regularly Interspaced Short Palindromic Repeats Cognitive Consumption Data Analyses Dependence Deterioration Disease Drug Modulation Exhibits Generations Genes Genetic Gliosis Goals Health Histologic Histology Human Impaired cognition Inflammation Institution Killifishes Knock-in Knock-out Knowledge Laboratories Learning Life Longevity Mediating Melatonin Memory Mentors Methods Modafinil Modeling Molecular Profiling Monitor Morbidity - disease rate Nerve Degeneration Neurofibrillary Tangles Neuroglia Neurons Oxidative Stress Pharmaceutical Preparations Pharmacotherapy Phenotype Proteins Regulation Rejuvenation Research Risk Role Sleep Sleep Deprivation Sleep disturbances Stains Structure System Testing Time Training Universities Vascular Dementia Vertebrates Wakefulness Waste Products Western Blotting Work age related aged aging brain brain health career development circadian cognitive performance cognitive testing cost experimental study frailty genetic manipulation human data human old age (65+)improved improvement on sleep longitudinal dataset middle age neurotoxicity novel overexpression programs protein aggregation repaired resilience single nucleus RNA-sequencing skills sleep behavior sleep quality tool trait transcriptome sequencing transcriptomics β-amyloid burden

项目摘要

Project Summary Sleep is a critical behavioral state that fulfills essential needs for health, including clearing waste products (e.g., amyloid beta [Aβ]) from the brain. As humans age, sleep quality strikingly deteriorates, and this decline correlates with increased risk for neurodegeneration, vascular dementia, and Alzheimer’s disease. While the occurrence of sleep disruption during aging is well documented, the causative impact of sleep on brain resilience with age and disease remains unexplored. I hypothesize that sleep is a key modulator of animal health that can be manipulated to improve brain resilience in the context of aging and disease. To investigate the impact of sleep on brain resilience late in life, I will (Aim 1) characterize if age-associated sleep deterioration (e.g., circadian timing and amount of sleep) impacts cognitive health, (Aim 2) perturb sleep and test the impact on cognitive resilience late in life, and (Aim 3) determine if sleep improves brain resilience in the context of human Aβ1-42 overexpression. The age dependence of sleep deterioration and neurodegeneration is difficult to study at scale due to the time-consuming challenge of aging vertebrates. To overcome this challenge and tackle this question, I will use the African killifish, a model with an extremely short lifespan of only 4-7 months. The killifish exhibits key hallmarks of human aging (e.g., neurodegeneration, frailty) and has conserved brain structures and genes known to regulate sleep. Critically, killifish brains exhibit increases in neurofibrillary degeneration, oxidative stress, gliosis, and inflammation, as well as decreases in repair, as they age. The killifish also possesses practical advantages such as low husbandry costs, a short generation time (<1 month), and genetic tractability. These traits make the killifish a suitable model system to investigate how sleep may impact brain resilience with age. In preliminary efforts, I built a longitudinal tracking system to generate an unprecedented view into how sleep changes across the lifespan, and I found that killifish exhibit an age-associated sleep decline that parallels human sleep decline. I also genetically perturbed sleep and identified novel lifespan-extending genes. I used my new CRISPR knockin method to develop the first killifish model for Alzheimer’s disease. Using these tools and discoveries, I will determine how sleep impacts brain resilience with age and disease. I am pursuing this project at Stanford University with training from my mentor Dr. Anne Brunet, co-mentor Dr. Karl Deisseroth, and an exceptional scientific advisory team whose expertise spans brain aging, Alzheimer’s disease, neurodegeneration, and sleep. Through continued training with the K99/R00 award, I will learn new methods (killifish genetics, intact whole-mount brain staining, and advanced transcriptomic/behavioral data analysis) and concepts (the biology of aging, Alzheimer’s disease, protein aggregation, neurodegeneration). This work, my career development, and my technical training will provide me with the skills and knowledge required to be a successful leader of a laboratory at a top academic institution.

项目概要睡眠是一种重要的行为状态，可以满足健康的基本需求，包括清除废物（例如，随着人类年龄的增长，大脑中的β淀粉样蛋白[Aβ]）的睡眠质量显着恶化，而且这种下降。与神经退行性变、血管性痴呆和阿尔茨海默病的风险增加相关。衰老过程中睡眠中断的发生是有据可查的，睡眠对大脑的影响我敢说睡眠是动物的关键调节剂，但对年龄和疾病的恢复能力尚未被探索。可以通过控制健康来提高衰老和疾病背景下的大脑恢复能力。睡眠对晚年大脑恢复能力的影响，我将（目标 1）描述与年龄相关的睡眠恶化（例如昼夜节律和睡眠量）影响认知健康，（目标 2）扰乱睡眠和测试对晚年认知弹性的影响，并（目标 3）确定睡眠是否可以改善晚年的大脑弹性人类 Aβ1-42 过度表达的背景。睡眠恶化和神经退行性变的年龄依赖性。由于衰老脊椎动物面临着耗时的挑战，因此很难进行大规模研究来克服这一问题。为了挑战和解决这个问题，我将使用非洲鳉鱼，这是一种寿命极短的模型只有 4-7 个月大的鳉鱼就表现出人类衰老的关键特征（例如神经退行性变、虚弱），并且重要的是，鳉鱼的大脑表现出调节睡眠的保守大脑结构和基因。神经原纤维变性、氧化应激、神经胶质增生和炎症，以及修复能力下降，因为它们鳉鱼还具有饲养成本低、世代时间短等实际优点。（<1 个月）和遗传易驯化性使鳉鱼成为研究如何进行的合适模型系统。睡眠可能会随着年龄的增长而影响大脑的恢复能力。在初步努力中，我建立了一个纵向跟踪系统。对睡眠在整个生命周期中如何变化产生了前所未有的认识，我发现鳉鱼表现出与年龄相关的睡眠下降与人类睡眠下降相似我也从基因上扰乱了睡眠我发现了新的延长寿命的基因，我用我的新 CRISPR 敲入方法培育了第一条鳉鱼。使用这些工具和发现，我将确定睡眠如何影响大脑。我正在斯坦福大学接受导师的培训，从事这个项目。 Anne Brunet 博士、联合导师 Karl Deisseroth 博士以及一支拥有专业知识的杰出科学顾问团队通过持续训练，涵盖大脑衰老、阿尔茨海默病、神经退行性疾病和睡眠。 K99/R00奖，我将学习新方法（鳉鱼遗传学、完整的全脑染色和先进的转录组/行为数据分析）和概念（衰老生物学、阿尔茨海默病、蛋白质这项工作、我的职业发展和我的技术培训将为我提供帮助。具备成为顶级学术机构实验室成功领导者所需的技能和知识。