Assessing a Panel of Biomarkers in Plasma Reflecting Dietary Intakes: Data From a Large Randomized Controlled Trial

Specific metabolites detected in human biofluid after the ingestion of food have been proposed as objective markers of dietary intake, yet their evaluation across diverse dietary settings remains limited. This study sought to build a panel of biomarkers of food intake (BFI) representing major food groups and compared their plasma concentrations with self-reported dietary intakes during a randomized three-arm trial. Interventions were of delivered groceries either high in fiber or unsaturated fats, or no groceries for 12 weeks. Plasma samples from 245 adults (mean age: 63.4 ± 9.5 years) were analyzed pre- and post-dietary intervention. Gas chromatography-mass spectrometry detected 104 known food-related metabolites. Pre-intervention, modest Spearman's rank correlation coefficients were observed for red meat (1-methylhistidine ρ = 0.13; urea ρ = 0.19), fish (anserine ρ = 0.24; 3-carboxy-4-methyl-5-propyl-2-furanpropanoic acid and docosahexaenoic acid ρ = 0.13), fruit (ascorbic acid, hippuric acid, 4-coumaric acid, linoleic acid ρ = 0.14-0.17), and legumes (pipecolic acid ρ = 0.16-0.19) using 4-day food dairy data. Post-intervention, additional modest correlations were observed between biomarkers and self-reported dietary intakes. We identified over 40 plasma metabolites associated with specific foods or food groups, supporting their use in a multimarker panel for objective dietary assessment. No biomarkers were identified for vegetables, dairy, and chocolate, highlighting key gaps for future research to understand and validate BFI for their broader application.

Authors

Institutions

Publication Details

Journal
Molecular Nutrition & Food Research
Published
2025-11-28
DOI
https://doi.org/10.1002/mnfr.70334
Primary Topic
Nutritional Studies and Diet
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing a Panel of Biomarkers in Plasma Reflecting Dietary Intakes: Data From a Large Randomized Controlled Trial

Alastair B. Ross, Andrew Reynolds, Jim Mann, Aysu Shahin et al.
Molecular Nutrition & Food Research
Nutritional Studies and Diet
article

Assessing a Panel of Biomarkers in Plasma Reflecting Dietary Intakes: Data From a Large Randomized Controlled Trial

Alastair B. Ross, Andrew Reynolds, Jim Mann, Aysu Shahin, Robin Turner
article en

Abstract

Specific metabolites detected in human biofluid after the ingestion of food have been proposed as objective markers of dietary intake, yet their evaluation across diverse dietary settings remains limited. This study sought to build a panel of biomarkers of food intake (BFI) representing major food groups and compared their plasma concentrations with self-reported dietary intakes during a randomized three-arm trial. Interventions were of delivered groceries either high in fiber or unsaturated fats, or no groceries for 12 weeks. Plasma samples from 245 adults (mean age: 63.4 ± 9.5 years) were analyzed pre- and post-dietary intervention. Gas chromatography-mass spectrometry detected 104 known food-related metabolites. Pre-intervention, modest Spearman's rank correlation coefficients were observed for red meat (1-methylhistidine ρ = 0.13; urea ρ = 0.19), fish (anserine ρ = 0.24; 3-carboxy-4-methyl-5-propyl-2-furanpropanoic acid and docosahexaenoic acid ρ = 0.13), fruit (ascorbic acid, hippuric acid, 4-coumaric acid, linoleic acid ρ = 0.14-0.17), and legumes (pipecolic acid ρ = 0.16-0.19) using 4-day food dairy data. Post-intervention, additional modest correlations were observed between biomarkers and self-reported dietary intakes. We identified over 40 plasma metabolites associated with specific foods or food groups, supporting their use in a multimarker panel for objective dietary assessment. No biomarkers were identified for vegetables, dairy, and chocolate, highlighting key gaps for future research to understand and validate BFI for their broader application.

Molecular Nutrition & Food ResearchVol. 70(1)
AgResearch (NZ), Riddet Institute (NZ), Massey University (NZ), University of Otago (NZ)
Openalex Percentile: Top 52%
Nutritional Studies and Diet
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Assessing a Panel of Biomarkers in Plasma Reflecting Dietary Intakes: Data From a Large Randomized Controlled Trial — Alastair B. Ross, Andrew Reynolds, et al. · Molecular Nutrition & Food Research (2025) | TGRS Research Map | TGRS