Trial reportThe Journal of nutrition2020
Identification of Milk and Cheese Intake Biomarkers in Healthy Adults Reveals High Interindividual Variability of Lewis System-Related Oligosaccharides.
Trial report in The Journal of nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02705560 (Randomized, Controlled, Cross-Over Study to Assess Dietary Biomarkers and Metabolic Effects After a Single Dose of Milk and Cheese in Healthy Subjects), which is not on this map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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.
Randomized, Controlled, Cross-Over Study to Assess Dietary Biomarkers and Metabolic Effects After a Single Dose of Milk and Cheese in Healthy Subjects
Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.
- Urinary metabolites as biomarkers of dietary intake: a systematic review.Frontiers in nutrition · 2025Pooled it
- Exploring exhaled breath biomarkers for lactose intolerance diagnosis: the Lactobreath pilot study protocol.BMJ open · 2025Article
- Association between cheese and fish consumption and the occurrence of depression based on European population: mediating role of metabolites.Frontiers in nutrition · 2024Article
- Metabolomics-based biomarkers of fermented dairy and red meat intake: a randomized controlled trial in healthy adults.Frontiers in chemistry · 2024Article
- 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
- Association between Intake of Fermented Dairy Product and Diet Quality, Health Beliefs in a Representative Sample of Polish Population.Nutrients · 2022Article
- Fermented foods and cardiometabolic health: Definitions, current evidence, and future perspectives.Frontiers in nutrition · 2022Review
- Postprandial Responses on Serum Metabolome to Milk and Yogurt Intake in Young and Older Men.Frontiers in nutrition · 2022Article
- Evaluating the Robustness of Biomarkers of Dairy Food Intake in a Free-Living Population Using Single- and Multi-Marker Approaches.Metabolites · 2021Article
- Article
- Development of Personalized Nutrition: Applications in Lactose Intolerance Diagnosis and Management.Nutrients · 2021Review
- A systematic review to identify biomarkers of intake for fermented food products.Genes & nutrition · 2021Review
- Charged metabolite biomarkers of food intake assessed via plasma metabolomics in a population-based observational study in Japan.PloS one · 2021Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe use of biomarkers of food intake (BFIs) in blood and urine has shown great promise for assessing dietary intake and complementing traditional dietary assessment tools whose use is prone to misreporting.
objectiveUntargeted LC-MS metabolomics was applied to identify candidate BFIs for assessing the intake of milk and cheese and to explore the metabolic response to the ingestion of these foods.
methodsA randomized controlled crossover study was conducted in healthy adults [5 women, 6 men; age: 23.6 ± 5.0 y; BMI (kg/m2): 22.1 ± 1.7]. After a single isocaloric intake of milk (600 mL), cheese (100 g), or soy-based drink (600 mL), serum and urine samples were collected postprandially up to 6 h and after fasting after 24 h. Untargeted metabolomics was conducted using LC-MS. Discriminant metabolites were selected in serum by multivariate statistical analysis, and their mass distribution and postprandial kinetics were compared.
resultsSerum metabolites discriminant for cheese intake had a significantly lower mass distribution than metabolites characterizing milk intake (P = 4.1 × 10-4). Candidate BFIs for milk or cheese included saccharides, a hydroxy acid, amino acids, amino acid derivatives, and dipeptides. Two serum oligosaccharides, blood group H disaccharide (BGH) and Lewis A trisaccharide (LeA), specifically reflected milk intake but with high interindividual variability. The 2 oligosaccharides showed related but opposing trends: subjects showing an increase in either oligosaccharide did not show any increase in the other oligosaccharide. This result was confirmed in urine.
conclusionsNew candidate BFIs for milk or cheese could be identified in healthy adults, most of which were related to protein metabolism. The increase in serum of LeA and BGH after cow-milk intake in adults calls for further investigations considering the beneficial health effects on newborns of such oligosaccharides in maternal milk. The trial is registered at clinicaltrials.gov as NCT02705560.
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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.