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，允许两个ctsa资助机构（华盛顿大学临床和转化科学研究所和杜克大学转化医学研究所）的研究人员访问两个动物和生物材料资源非人灵长类动物繁殖菌落（P40 RR019963: Chlorocebus aethiops; P40 RR021380: Macaca fascularis）的材料，这两个菌落都位于维克森林大学灵长类动物中心。具体来说，这笔拨款将侧重于对居住在非人类灵长类动物体内的微生物进行测序和分析，确定饮食如何影响微生物群，描述微生物群中与饮食相关的差异与常见疾病（心血管疾病、肥胖和2型糖尿病）风险因素的关系程度，并开始与人类微生物群进行比较。这些努力直接支持了两项P40基金的具体目标，除了为生物医学研究生产猴子外，还直接用于研究慢性和退行性疾病的猴子模型，这些疾病构成了美国成年人健康负担的很大一部分。

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).