Application of predictive biomarkers of sugars and animal protein intake for investigation of dietary measurement error and its effect on diet-disease associations

应用糖和动物蛋白摄入量的预测生物标志物研究饮食测量误差及其对饮食与疾病关联的影响

• 批准号: 10522649
• 负责人: Natasha Tasevska
• 金额: $ 53.9万
• 依托单位: ARIZONA STATE UNIVERSITY-TEMPE CAMPUS
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-16 至 2026-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10522649
• 关键词: Animals; Biological Availability; Biological Markers; Biomarker of Dietary Intake; Calibration; Carbon Isotopes; Cardiovascular Diseases; Characteristics; Chronic Disease; Data; Dental; Dental caries; Diet; Dietary Assessment; Dietary Sugars; Dietary intake; Disease; Energy Intake; Equation; Ethnic group; Evaluation; Food; Frequencies; Fructose; Future; Health; Hispanic Community Health Study/Study of Latinos; Intake; Intervention; Investigation; Malignant Neoplasms; Measurement; Measures; Methods; Nitrogen; Non-Insulin-Dependent Diabetes Mellitus; Nutritional; Nutritional Study; Obesity; Outcome; Participant; Patient Self-Report; Plant Proteins; Play; Population; Population Heterogeneity; Population Study; Prospective cohort; Prospective cohort study; Proteins; Protocols documentation; Questionnaires; Race; Recommendation; Records; Recovery; Resources; Risk; Role; Sampling; Serum; Source; Strategic Planning; Structure; Sucrose; Testing; Total Sugar; United States National Institutes of Health; Ursidae Family; Validation; aged; base; biomarker performance; burden of illness; cardiovascular disorder risk; cohort; diabetes risk; dietary; disorder risk; epidemiology study; ethnic diversity; evidence based guidelines; feeding; health disparity; improved; instrument; mortality; novel; novel marker; novel strategies; nutrition; nutritional epidemiology; parent project; population based; predictive marker; protein biomarkers; protein intake; sugar; urinary; validation studies

Project Summary Developing new approaches for obtaining accurate estimates of dietary intake is crucial for revealing true associations between dietary intakes and disease risk, with the ultimate aim of establishing evidence-based guidelines. While the evidence on dietary sugars and increased risks of dental caries and obesity have been stronger, the association between sugars and increased risk of cardiovascular disease (CVD), type 2 diabetes (T2D), and cancer remains inconclusive. The findings on total and animal protein (AP) intake in relation to T2D risk and CVD or all-cause mortality have also been inconsistent. Dietary biomarkers alleviate the problem of measurement errors (ME) associated with self-reporting dietary instruments commonly used in nutritional epidemiology, and have been used to validate and calibrate self-reported diet or to adjust for ME in self- reports, and reveal important associations. In the parent project of this renewal application, (SugarsBio study, U01-CA197902), we confirmed 24-h urinary sucrose and fructose (24uSF) as a predictive biomarker of total sugars (TS) intake, and demonstrated the transportability of the biomarker equation for estimating biomarker- based TS intake and its use across different populations. Furthermore, we have identified serum carbon isotope ratio (CIR) as a candidate predictive biomarker of the AP to total protein intake ratio (APR), a novel biomarker of protein quality, and developed a biomarker equation that can be used to generate biomarker- based APR in studies with available biological samples. The aim of this proposal is to investigate the utility and application of 24uSF and serum CIR biomarkers in diverse populations in two prospective cohorts. For this purpose, we will leverage data from two large dietary validation studies with comprehensive validation protocols (IDATA and SOLNAS) nested within cohorts, the NIH-AARP Diet and Health (AARP) Study and the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). First, we will study the ME in self-reported TS, and APR, AP and plant protein (PP) intake, using 24uSF and serum CIR biomarkers. Second, we will develop regression calibration equations for self-reported intake, based on biomarkers, in IDATA and SOLNAS that we will apply in their respective cohorts. Third, we will investigate uncalibrated and calibrated (i.e., ME- corrected) self-reported intakes of TS, AP, PP and APR in relation to CVD mortality in the AARP, and T2D risk in the HCHS/SOL cohort. Our study will be the first study that applies the newly developed US population- based sugars and protein intake biomarkers and their calibration equations to race/ethnically diverse US population-based studies and evaluates ME-corrected dietary intakes in relation to chronic diseases. By informing the best practices for applying these biomarkers in future diet validation studies and studies of diet-disease associations, this proposal will significantly contribute to improving dietary assessments and enhancing scientific rigor of nutritional epidemiologic studies.

项目摘要 开发新的方法来获得准确的饮食摄入量估计对于揭示真实 饮食摄入量与疾病风险之间的关联，最终目的是建立循证 指南。虽然关于饮食糖的证据以及龋齿和肥胖的风险增加 更强，糖之间的关联与心血管疾病（CVD）的风险增加，2型糖尿病 （T2D）和癌症仍然尚无定论。与T2D有关的总体和动物蛋白（AP）摄入的发现 风险和CVD或全因死亡率也是不一致的。饮食生物标志物减轻了 与营养中常用的自我报告的饮食仪器相关的测量错误（ME） 流行病学，已被用来验证和校准自我报告的饮食或在自我中适应我 报告，并揭示重要的关联。在此更新应用的父项目中（Sugarsbio研究， U01-CA197902），我们证实了24小时的尿蔗糖和果糖（24USF）作为总的预测生物标志物 糖（TS）摄入量，并证明了生物标志物方程用于估计生物标志物的可运输能力 基于TS的摄入及其在不同人群中的使用。此外，我们已经确定了血清碳 同位素比（CIR）作为AP的候选预测生物标志物与总蛋白质摄入率（APR），这是一种新型 蛋白质质量的生物标志物，并开发了一种生物标志物方程，可用于生成生物标志物 基于可用生物样品的研究基于APR。该提议的目的是调查公用事业 以及在两个前瞻性队列中不同种群中24USF和血清CIR生物标志物的应用。 为此，我们将利用两项大型饮食验证研究的数据，并具有全面的验证 嵌套在队列中的方案（IDATA和SOLNA），NIH-AARP饮食与健康（AARP）研究以及 西班牙裔社区健康研究/拉丁裔研究（HCHS/SOL）。首先，我们将在自我报告中研究我 TS和APR，AP，AP和植物蛋白（PP）摄入量，使用24USF和血清CIR生物标志物。第二，我们会的 在IDATA和SOLNAS中开发基于生物标志物的自我报告摄入量的回归校准方程 我们将适用于他们各自的队列。第三，我们将研究未校准和校准（即 纠正了与AARP中CVD死亡率有关的TS，AP，PP和APR的自我报告的摄入量和T2D风险 在HCHS/SOL队列中。我们的研究将是第一个应用新开发的美国人口的研究 - 基于糖和蛋白质摄入生物标志物及其对种族/种族不同的校准方程 基于人群的研究并评估了与慢性疾病有关的ME校正饮食摄入量。经过 告知将这些生物标志物应用于未来饮食验证研究和研究的最佳实践 饮食疾病协会，该提案将大大有助于改善饮食评估和 增强营养流行病学研究的科学严谨性。