ArticleMetabolites2018
GC-MS Based Metabolomics and NMR Spectroscopy Investigation of Food Intake Biomarkers for Milk and Cheese in Serum of Healthy Humans.
Article in Metabolites, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
29 citing papers in PubMed, 51 citations in OpenAlex.
- Age-Dependent Serum Volatilomics of Milk and Yogurt Intake: A Randomized Crossover Study in Healthy Young and Older Men.Journal of proteome research · 2023Trial
- Serum and Urine Metabolites in Healthy Men after Consumption of Acidified Milk and Yogurt.Nutrients · 2022Trial
- Molecular effects of the consumption of margarine and butter varying in trans fat composition: a parallel human intervention study.Lipids in health and disease · 2022Trial
- Identification of Milk and Cheese Intake Biomarkers in Healthy Adults Reveals High Interindividual Variability of Lewis System-Related Oligosaccharides.The Journal of nutrition · 2020Trial
- Trimethylamine-Nutrients · 2020Trial
- The Gini coefficient as a surrogate for the regulability or homeostasis of metabolite concentrations: focus on ergothioneine.Metabolomics : Official journal of the Metabolomic Society · 2026Article
- Integrating Metabolomics and Machine Learning for Advanced Chemical Detection.Sensors (Basel, Switzerland) · 2026Review
- Characterization of Mutton Volatile Compounds in Youzhou Dark Goats and Local White Goats Using Flavoromics, Metabolomics, and Transcriptomics.Foods (Basel, Switzerland) · 2025Article
- Recommendations for sample selection, collection and preparation for NMR-based metabolomics studies of blood.Metabolomics : Official journal of the Metabolomic Society · 2025Review
- Mendelian randomization study to assess causality between diet and phenotype of aging.Asia Pacific journal of clinical nutrition · 2024Article
- Influence of Lactose Supplementation on Regulation ofNutrients · 2023Article
- Identifying Plasma and Urinary Biomarkers of Fermented Food Intake and Their Associations with Cardiometabolic Health in a Dutch Observational Cohort.Journal of agricultural and food chemistry · 2023Observational
- Identification of Single and Combined Serum Metabolites Associated with Food Intake.Metabolites · 2022Article
- Innovative Application of Metabolomics on Bioactive Ingredients of Foods.Foods (Basel, Switzerland) · 2022Review
- Postprandial Responses on Serum Metabolome to Milk and Yogurt Intake in Young and Older Men.Frontiers in nutrition · 2022Article
- Cardiometabolic health benefits of dairy-milk polar lipids.Nutrition reviews · 2021Review
- Nutritional Metabolomics and the Classification of Dietary Biomarker Candidates: A Critical Review.Advances in nutrition (Bethesda, Md.) · 2021Review
- Muscle and Serum Metabolomics for Different Chicken Breeds under Commercial Conditions by GC-MS.Foods (Basel, Switzerland) · 2021Article
- Evaluating the Robustness of Biomarkers of Dairy Food Intake in a Free-Living Population Using Single- and Multi-Marker Approaches.Metabolites · 2021Article
- Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The identification and validation of food intake biomarkers (FIBs) in human biofluids is a key objective for the evaluation of dietary intake. We report here the analysis of the GC-MS and 1H-NMR metabolomes of serum samples from a randomized cross-over study in 11 healthy volunteers having consumed isocaloric amounts of milk, cheese, and a soy drink as non-dairy alternative. Serum was collected at baseline, postprandially up to 6 h, and 24 h after consumption. A multivariate analysis of the untargeted serum metabolomes, combined with a targeted analysis of candidate FIBs previously reported in urine samples from the same study, identified galactitol, galactonate, and galactono-1,5-lactone (milk), 3-phenyllactic acid (cheese), and pinitol (soy drink) as candidate FIBs for these products. Serum metabolites not previously identified in the urine samples, e.g., 3-hydroxyisobutyrate after cheese intake, were detected. Finally, an analysis of the postprandial behavior of candidate FIBs, in particular the dairy fatty acids pentadecanoic acid and heptadecanoic acid, revealed specific kinetic patterns of relevance to their detection in future validation studies. Taken together, promising candidate FIBs for dairy intake appear to be lactose and metabolites thereof, for lactose-containing products, and microbial metabolites derived from amino acids, for fermented dairy products such as cheese.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.