Application of novel biomarkers to measure health impacts of anthropogenic change in the Amazon

应用新型生物标志物测量亚马逊地区人为变化对健康的影响

基本信息

批准号：
10689692
负责人：
Beth Feingold
金额：
$ 14.74万
依托单位：
STATE UNIVERSITY OF NEW YORK AT ALBANY
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-09-18 至 2024-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10689692
关键词：
Accounting Address Adopted Adoption Adult Alaska Native Animals Area Assessment tool Biological Markers Biomarker of Dietary Intake Blood Pressure Brazil Canes Carbon Cardiometabolic Disease Cause of Death Characteristics Chickens Child Cholesterol Communities Complex Country Data Deforestation Development Diet Diet Surveys Dietary Assessment Dietary Practices Dietary intake Discipline Disease Ecosystem Environmental Health Epidemic Epidemiology Farm Fishes Fogarty International Center Food Food Patterns Glycosylated hemoglobin A Goals Hair Health Height High Density Lipoproteins Household Income Individual Korea Life Style Low-Density Lipoproteins Manihot Measures Mentors Mercury Mining Mission Modeling Nitrogen Nutritional Outcome Pattern Peru Peruvian Policy Developments Population Populations at Risk Positioning Attribute Potato Prevention strategy Program Development Proteins Proxy Public Health Research Research Personnel Resources Risk Risk Factors Rural Sampling Scientist Shoulder Strategic Planning Testing Training Triglycerides Urbanization Vector-transmitted infectious disease Visit Vulnerable Populations Waist-Hip Ratio Weight Work anthropogenesis beef cardiometabolic risk cardiovascular disorder epidemiology cohort comparison group data cleaning dietary disorder prevention disorder risk epidemiology study global health improved infrastructure development interest low and middle-income countries next generation novel novel marker nutrition nutritional epidemiology participant enrollment population health prevent stable isotope sugar western diet

项目摘要

Project Summary / Abstract Cardiometabolic diseases are largely preventable but have remained the leading cause death worldwide for over 15 years. Low and Middle Income Countries (LMIC) shoulder an increasing majority of this burden. Though often overlooked, rural, remote LMIC regions, such as the Amazon rainforest, are of particular interest as they are undergoing massive anthropogenic changes (i.e. resource extraction, infrastructure development and rapid ur- banization) and as a result, have increasing availability of, and access to, the Western Diet. Addressing diet- related health risks associated with the demographic and nutritional transitions in these LMIC regions is crucial, but has been limited by the lack of quantitative biomarkers to measure dietary intake. Two promising non- invasive biomarkers for this application are carbon and nitrogen stable isotope ratios (CIR and NIR). The CIR is elevated in key components (corn, sugar cane) of the Western, but not the traditional Amazonian (cassava, potatoes) diet. In contrast, the NIR is elevated in fish, a key traditional protein, but is not in animal-based foods characteristic of Westernization (e.g. farmed chicken, beef). Thus, CIR and NIR, which are potentially more sensitive and less biased than diet surveys, can provide objective enculturation proxies. While CIR and NIR have demonstrated associations with cardiometabolic risks in upper income countries, the associations in LMIC have yet to be investigated. The central hypothesis of this study is that CIR and NIR reflect the changing epidemio- logical profiles associated with urbanization and infrastructure development in a nutritionally transitioning popu- lations. The objective of this proposal is to evaluate changes in adult dietary patterns and cardiometabolic dis- ease risk profiles (hbA1C, HDL-C, LDL-C, height, weight, waist-hip ratio, blood pressure, and triglycerides) as- sociated with the construction of the Interoceanic Highway (IOH) through Peru's Southern Amazon by measuring these biomarkers of the nutrition transition and complementary dietary survey data. This study leverages two related studies that draw from the same population (combined cohort n=1958) with well-suited highway-adjacent and riverine comparison groups in varying stages of nutrition transition. Aim 1 tests the association between highway exposure and household level western diet adoption using stored samples from 2014. Aim 2 and Aim 3 follow the cohort forward in 2021 to test whether CIR and NIR are associated with cardiometabolic risks factors in the Amazon (Aim 2) and whether large-scale anthropogenic change modifies the diet-disease relationship (Aim 3) using stratified random effects models to account for household and community clustering. The expected contribution of this research is improved understanding of the specific changes in the dietary drivers of cardi- ometabolic disease risks associated with infrastructure development in remote LMIC regions by using novel unbiased dietary assessment tools. This work substantially adds to the limited body of evidence on novel bi- omarkers of the nutrition and transition. It and could apply to other areas undergoing infrastructure development and contribute to effective disease prevention strategies.

项目摘要 /摘要心脏代谢性疾病在很大程度上是可以预防的，但在全球范围内仍然是主要原因。 15年。低收入国家（LMIC）承担着越来越多的负担。虽然经常被忽视的农村，偏远的LMIC地区（例如亚马逊雨林）特别感兴趣经历大规模的人为变化（即资源提取，基础设施发展和快速的ur- 禁止），因此，西方饮食的可用性增加并获得。解决饮食 - 与这些LMIC地区的人口和营养转变相关的相关健康风险至关重要，但由于缺乏定量生物标志物来测量饮食摄入量而受到限制。两个有希望的非 - 该应用的侵入性生物标志物是碳和氮稳定的同位素比（CIR和NIR）。 CIR是在西方的关键组成部分（玉米，甘蔗）中升高，而不是传统的亚马逊人（木薯，土豆）饮食。相比之下，NIR在FISH中升高，这是一种关键的传统蛋白质，但不在动物基础食品中西方化的特征（例如养殖鸡肉，牛肉）。因此，CIR和NIR可能更多敏感和偏见比饮食调查更少，可以提供客观的培养代理。而CIR和NIR有在高收入国家中证明了与心脏代谢风险的关联，LMIC的关联尚待调查。这项研究的核心假设是CIR和NIR反映了流行病的变化在营养过渡的过程中，与城市化和基础设施发展相关的逻辑概况 - 恋爱。该提案的目的是评估成人饮食模式的变化和心脏代谢疾病的变化轻松风险特征（HBA1C，HDL-C，LDL-C，身高，体重，腰围比，血压和甘油三酸酯）通过测量秘鲁的南部亚马逊，通过跨越高速公路（IOH）建造社交这些营养过渡和互补饮食调查数据的生物标志物。这项研究利用了两个从同一人群中汲取的相关研究（联合队列n = 1958）与合适的高速公路贴和河流比较组处于不同营养过渡阶段。 AIM 1测试高速公路暴露和家庭水平的西方饮食采用2014年起存储的样品。AIG2和AIM 3遵循2021年的队列前进，以测试CIR和NIR是否与心脏代谢风险因素有关在亚马逊（AIM 2）中（目标3）使用分层随机效应模型来说明家庭和社区聚类。预期这项研究的贡献是对心脏饮食驱动因素的特定变化的理解得到了改善通过使用新颖公正的饮食评估工具。这项工作大大增加了有关新型双期证据的有限证据营养和过渡的omarker。它并且可以应用于正在进行基础设施开发的其他领域并为有效的疾病预防策略做出贡献。