Identification and Reproducibility of Plasma Metabolomic Biomarkers of Habitual Food Intake in a US Diet Validation Study

Previous metabolomic studies have identified putative blood biomarkers of dietary intake. These biomarkers need to be replicated in other populations and tested for reproducibility over time for the potential use in future epidemiological studies. We conducted a metabolomics analysis among 671 racia...

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Main Authors: Ying Wang, Rebecca A. Hodge, Victoria L. Stevens, Terryl J. Hartman, Marjorie L. McCullough
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Metabolites
Subjects:
Online Access:https://www.mdpi.com/2218-1989/10/10/382
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author Ying Wang
Rebecca A. Hodge
Victoria L. Stevens
Terryl J. Hartman
Marjorie L. McCullough
author_facet Ying Wang
Rebecca A. Hodge
Victoria L. Stevens
Terryl J. Hartman
Marjorie L. McCullough
author_sort Ying Wang
collection DOAJ
description Previous metabolomic studies have identified putative blood biomarkers of dietary intake. These biomarkers need to be replicated in other populations and tested for reproducibility over time for the potential use in future epidemiological studies. We conducted a metabolomics analysis among 671 racially/ethnically diverse men and women included in a diet validation study to examine the correlation between >100 food groups/items (101 by a food frequency questionnaire (FFQ), 105 by 24-h diet recalls (24HRs)) with 1141 metabolites measured in fasting plasma sample replicates, six months apart. Diet–metabolite associations were examined by Pearson’s partial correlation analysis. Biomarker reproducibility was assessed using intraclass correlation coefficients (ICCs). A total of 677 diet–metabolite associations were identified after Bonferroni adjustment for multiple comparisons and restricting absolute correlation coefficients to greater than 0.2 (601 associations using the FFQ and 395 using 24HRs). The median ICCs of the 238 putative biomarkers was 0.56 (interquartile range 0.46–0.68). In this study, with repeated FFQs, 24HRs and plasma metabolic profiles, we identified several potentially novel food biomarkers and replicated others found in our previous study. Our findings contribute to the growing literature on food-based biomarkers and provide important information on biomarker reproducibility which could facilitate their utilization in future nutritional epidemiological studies.
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spelling doaj.art-bd6230abcf08474aaca4367328befaa02023-11-20T15:14:20ZengMDPI AGMetabolites2218-19892020-09-01101038210.3390/metabo10100382Identification and Reproducibility of Plasma Metabolomic Biomarkers of Habitual Food Intake in a US Diet Validation StudyYing Wang0Rebecca A. Hodge1Victoria L. Stevens2Terryl J. Hartman3Marjorie L. McCullough4Department of Population Science, American Cancer Society, Atlanta, GA 30303, USADepartment of Population Science, American Cancer Society, Atlanta, GA 30303, USADepartment of Population Science, American Cancer Society, Atlanta, GA 30303, USADepartment of Epidemiology, Rollins School of Public Health, Winship Cancer Institute, Emory University, Atlanta, GA 30322, USADepartment of Population Science, American Cancer Society, Atlanta, GA 30303, USAPrevious metabolomic studies have identified putative blood biomarkers of dietary intake. These biomarkers need to be replicated in other populations and tested for reproducibility over time for the potential use in future epidemiological studies. We conducted a metabolomics analysis among 671 racially/ethnically diverse men and women included in a diet validation study to examine the correlation between >100 food groups/items (101 by a food frequency questionnaire (FFQ), 105 by 24-h diet recalls (24HRs)) with 1141 metabolites measured in fasting plasma sample replicates, six months apart. Diet–metabolite associations were examined by Pearson’s partial correlation analysis. Biomarker reproducibility was assessed using intraclass correlation coefficients (ICCs). A total of 677 diet–metabolite associations were identified after Bonferroni adjustment for multiple comparisons and restricting absolute correlation coefficients to greater than 0.2 (601 associations using the FFQ and 395 using 24HRs). The median ICCs of the 238 putative biomarkers was 0.56 (interquartile range 0.46–0.68). In this study, with repeated FFQs, 24HRs and plasma metabolic profiles, we identified several potentially novel food biomarkers and replicated others found in our previous study. Our findings contribute to the growing literature on food-based biomarkers and provide important information on biomarker reproducibility which could facilitate their utilization in future nutritional epidemiological studies.https://www.mdpi.com/2218-1989/10/10/382untargeted metabolomicsfood biomarkerFFQ24-h diet recallsplasma
spellingShingle Ying Wang
Rebecca A. Hodge
Victoria L. Stevens
Terryl J. Hartman
Marjorie L. McCullough
Identification and Reproducibility of Plasma Metabolomic Biomarkers of Habitual Food Intake in a US Diet Validation Study
Metabolites
untargeted metabolomics
food biomarker
FFQ
24-h diet recalls
plasma
title Identification and Reproducibility of Plasma Metabolomic Biomarkers of Habitual Food Intake in a US Diet Validation Study
title_full Identification and Reproducibility of Plasma Metabolomic Biomarkers of Habitual Food Intake in a US Diet Validation Study
title_fullStr Identification and Reproducibility of Plasma Metabolomic Biomarkers of Habitual Food Intake in a US Diet Validation Study
title_full_unstemmed Identification and Reproducibility of Plasma Metabolomic Biomarkers of Habitual Food Intake in a US Diet Validation Study
title_short Identification and Reproducibility of Plasma Metabolomic Biomarkers of Habitual Food Intake in a US Diet Validation Study
title_sort identification and reproducibility of plasma metabolomic biomarkers of habitual food intake in a us diet validation study
topic untargeted metabolomics
food biomarker
FFQ
24-h diet recalls
plasma
url https://www.mdpi.com/2218-1989/10/10/382
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