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.

项目总结