Effects of Prenatal and Early Life Exposures on the Microbiome in American Indian Children.

项目摘要/摘要 美国印第安人(AI)儿童患慢性病的比率很高，包括哮喘、肥胖症和 2型糖尿病。肠道微生物组是所有这些的潜在共同贡献者，但还没有研究。 目前存在检测人工智能儿童肠道微生物群与慢性疾病可能联系的研究 发展。这项建议包括几项分析，以评估种族和产前的贡献。 暴露和儿童早期环境对肠道微生物群定植的影响 链接到慢性病风险因素。微生物组将在出生后不久使用STORAGE进行评估 胎粪样本，并在三岁时再次出现。纵向样本将有助于描绘长期 早期生活环境和种族背景对产前暴露的影响。除了它的 除了与暴露的关系外，这项建议还将探索肠道微生物群与风险之间的联系 慢性病的影响因素，提供有关高危人群可能的干预策略的信息。 这对人工智能儿童尤其重要，因为患慢性病的风险增加了， 目前的预防努力并未降低风险。因此，迫切需要发展 更好地理解暴露与可用于疾病的生物标志物之间的关系的模型 预测性和干预性发展。

Project Summary/Abstract American Indian (AI) children have high rates of chronic disease development including asthma, obesity and type 2 diabetes. The intestinal microbiome is a potential common contributor to all of these, yet no research currently exists examining the intestinal microbiome in AI children as a possible link to chronic disease development. This proposal includes several analyses to assess the contribution of race as well as prenatal exposures and early childhood environment to the colonization of the intestinal microbiome as well as possible links to chronic disease risk factors. The microbiome will be assessed both shortly after birth using stored meconium samples and again at three years of age. Longitudinal samples will help to delineate long term effects of prenatal exposures from effects of the early life environment and racial background. In addition to its relationship to exposures, this proposal will also explore links between the intestinal microbiome and risk factors for chronic disease, providing information about possible intervention strategies in at-risk populations. This is especially important for AI children as the risk for development of chronic disease is elevated and current prevention efforts have not achieved a reduction in risk. Thus, there is an urgent need to develop models to better understand how exposures relate to biological markers that can be used for disease prediction and intervention development.