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Dataset Information

Biomarkers for Components of Dietary Protein and Carbohydrate with Application to Chronic Disease Risk in Postmenopausal Women.


ABSTRACT:

Background

We recently developed protein and carbohydrate intake biomarkers using metabolomics profiles in serum and urine, and used them to correct self-reported dietary data for measurement error. Biomarker-calibrated carbohydrate density was inversely associated with chronic disease risk, whereas protein density associations were mixed.

Objectives

To elucidate and extend this earlier work through biomarker development for protein and carbohydrate components, including animal protein and fiber.

Methods

Prospective disease association analyses were undertaken in Women's Health Initiative (WHI) cohorts of postmenopausal US women, aged 50-79 y when enrolled at 40 US clinical centers. Biomarkers were developed using an embedded human feeding study (n = 153). Calibration

SUBMITTER: Prentice RL 

PROVIDER: S-EPMC8970980 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature