Sequencing the Microbiome in Two Primate Species Under Two Dietary Conditions

描述(由申请人提供)：本申请寻求资金，以允许来自两个由CTSA资助的机构(华盛顿大学临床和翻译科学研究所和杜克转译医学研究所)的研究人员访问来自两个动物和生物材料资源非人类灵长类繁殖群体的材料(P40 RR019963：大叶藻；P40 RR021380：短尾猴)，这两个群体都位于维克森林大学灵长类中心。具体地说，这笔赠款将专注于对非人类灵长类动物中的微生物进行测序和分析，确定饮食如何影响微生物群，描述与饮食相关的微生物种群差异与常见疾病(心血管疾病、肥胖症和2型糖尿病)风险因素的关系程度，并启动与人类微生物群的比较。这些努力直接支持了P40基金的具体目标，除了培养用于生物医学研究的猴子外，还用于开发猴子模型，用于研究慢性和退行性疾病，这些疾病构成了美国成年人健康负担的很大一部分。 与公众健康相关(由申请人提供)：拟议的研究将展示饮食对猴子物种内微生物类型和数量的影响，确定两个猴子物种之间预期的微生物差异程度，并确定不同饮食条件下微生物指数与慢性病风险生物标志物之间的关系。由此产生的数据将有助于确定微生物组与慢性病风险的生物医学相关性，并确定可能影响人类微生物组项目(美国国立卫生研究院路线图倡议)计划研究的因素(如饮食)。

DESCRIPTION (provided by applicant): This application seeks funds to allow investigators from two CTSA-funded institutions (The Washington University Institute of Clinical and Translational Sciences and the Duke Translatlonal Medicine Institute to access materials from two Animal and Biological Materials Resources nonhuman primate breeding colonies (P40 RR019963: Chlorocebus aethiops; P40 RR021380: Macaca fascicularis), both of which are located at the Wake Forest University Primate Center. Specifically, this grant will focus on sequencing and analyzing microbes that reside in nonhuman primates, determine how diet affects the microbiome, describe the extent to which diet-related differences in microbial populations are related to risk factors for common diseases (cardiovascular disease, obesity, and type 2 diabetes), and initiate comparisons with human microbiomes. These efforts are in direct support of the specific aims of both P40 grants, which, in addition to producing monkeys for biomedical research, are directed toward development of monkey models for the investigation of the chronic and degenerative diseases that comprise a large part of the health burden of adult Americans. PUBLIC HEALTH RELEVANCE (provided by applicant): The proposed study will demonstrate the impact of diet on microbial type and number within monkey species, determine the extent of microbial variation that can be expected between two monkey species, and identify relationships between microbial indices and biomarkers for chronic disease risk under different dietary conditions. The resulting data will help determine the biomedical relevance of the microbiome in relation to chronic disease risk and identify factors (such as diet) that may influence planned studies in the Human Microbiome Project (an NIH Roadmap initiative).