Evaluation of potential metabolomic-based biomarkers of protein, carbohydrate and fat intakes using a controlled feeding study.
Purpose: Objective biomarkers of dietary exposure are needed to establish reliable diet-disease associations. Unfortunately, robust biomarkers of macronutrient intakes are scarce. We aimed to assess the utility of serum, 24-h urine and spot urine high-dimensional metabolites for the development of b...
| Published in: | European Journal of Nutrition Vol. 60; no. 8; pp. 4207 - 4219 |
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| Main Authors: | , , , , , , , , , , , , , , |
| Format: | research tables/charts Journal Article |
| Published: |
Springer Nature
Dec2021
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=153436527&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 153436527 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14366207 CR0 jtl: European Journal of Nutrition issn: 14366207 maglogo: N pubinfo: dt: Dec2021 vid: 60 iid: 8 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 153436527 150282629 153436527 153436527 10.1007/s00394-021-02577-1 153436527 ppf: 4207 ppct: 12 formats: fmt: @attributes: type: P tig: atl: Evaluation of potential metabolomic-based biomarkers of protein, carbohydrate and fat intakes using a controlled feeding study. aug: au: Zheng, Cheng Gowda, G. A. Nagana Raftery, Daniel Neuhouser, Marian L. Tinker, Lesley F. Prentice, Ross L. Beresford, Shirley A. A. Zhang, Yiwen Bettcher, Lisa Pepin, Robert Djukovic, Danijel Gu, Haiwei Barding Jr., Gregory A. Song, Xiaoling Lampe, Johanna W. affil: Department of Biostatistics, University of Nebraska Medical Center, Omaha, NE, USA sug: subj: Metabolomics Biological Markers Analysis Dietary Proteins Analysis Dietary Carbohydrates Analysis Dietary Fats Analysis Food Intake Evaluation Human Postmenopause Women Macronutrients Analysis Energy Intake Urinalysis Chromatography, Liquid Metabolites Magnetic Resonance Spectroscopy Methods Gas Chromatography-Mass Spectrometry Methods Correlation Coefficient Energy Density Evaluation Nutrition ab: Purpose: Objective biomarkers of dietary exposure are needed to establish reliable diet-disease associations. Unfortunately, robust biomarkers of macronutrient intakes are scarce. We aimed to assess the utility of serum, 24-h urine and spot urine high-dimensional metabolites for the development of biomarkers of daily intake of total energy, protein, carbohydrate and fat, and the percent of energy from these macronutrients (%E). Methods: A 2-week controlled feeding study mimicking the participants' habitual diets was conducted among 153 postmenopausal women from the Women's Health Initiative (WHI). Fasting serum metabolomic profiles were analyzed using a targeted liquid chromatography–tandem mass spectrometry (LC–MS/MS) assay for aqueous metabolites and a direct-injection-based quantitative lipidomics platform. Urinary metabolites were analyzed using 1H nuclear magnetic resonance (NMR) spectroscopy at 800 MHz and by untargeted gas chromatography–mass spectrometry (GC–MS). Variable selection was performed to build prediction models for each dietary variable. Results: The highest cross-validated multiple correlation coefficients (CV-R2) for protein intake (%E) and carbohydrate intake (%E) using metabolites only were 36.3 and 37.1%, respectively. With the addition of established dietary biomarkers (doubly labeled water for energy and urinary nitrogen for protein), the CV-R2 reached 55.5% for energy (kcal/d), 52.0 and 45.0% for protein (g/d, %E), 55.9 and 37.0% for carbohydrate (g/d, %E). Conclusion: Selected panels of serum and urine metabolites, without the inclusion of doubly labeled water and urinary nitrogen biomarkers, give a reliable and robust prediction of daily intake of energy from protein and carbohydrate. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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