ReviewGenes & nutrition2017
A scheme for a flexible classification of dietary and health biomarkers.
Review in Genes & nutrition, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
51 citing papers in PubMed.
- 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
- Two apples a day modulate human:microbiome co-metabolic processing of polyphenols, tyrosine and tryptophan.European journal of nutrition · 2020Trial
- Nutrimetabolomics reveals food-specific compounds in urine of adults consuming a DASH-style diet.Scientific reports · 2020Trial
- Urinary carnosine links diet quality with one-carbon and lipid metabolism: insights from an interpretive framework for imidazole metabolites.European journal of nutrition · 2026Article
- Integration of modern technologies to advance dietary assessment.Nature food · 2026Review
- Plant-based dietary biomarkers: from discovery to validation using mass spectrometry-based metabolomics.Frontiers in nutrition · 2026Review
- Identification and Replication of Urine Metabolites Associated With Short-Term and Habitual Intake of Sweet and Fatty Snacks in European Children and Adolescents.The Journal of nutrition · 2024Article
- The future backbone of nutritional science: integrating public health priorities with system-oriented precision nutrition.The British journal of nutrition · 2024Review
- Dietary biomarkers-an update on their validity and applicability in epidemiological studies.Nutrition reviews · 2024Review
- Towards nutrition with precision: unlocking biomarkers as dietary assessment tools.Nature metabolism · 2024Review
- Intake Biomarkers for Nutrition and Health: Review and Discussion of Methodology Issues.Metabolites · 2024Review
- Towards objective measurements of habitual dietary intake patterns: comparing NMR metabolomics and food frequency questionnaire data in a population-based cohort.Nutrition journal · 2024Article
- Identification of biological signatures of cruciferous vegetable consumption utilizing machine learning-based global untargeted stable isotope traced metabolomics.Frontiers in nutrition · 2024Article
- Standardised and Objective Dietary Intake Assessment Tool (SODIAT): Protocol of a dual-site dietary intervention study to integrate dietary assessment methods.F1000Research · 2024Article
- Urinary Metabolite Profiling to Non-Invasively Monitor the Omega-3 Index: An Exploratory Secondary Analysis of a Randomized Clinical Trial in Young Adults.Metabolites · 2023Article
- Metabolomic based approach to identify biomarkers of broccoli intake.Food & function · 2023Article
- Nutritional Metabolomics in Diet-Breast Cancer Relations: Current Research, Challenges, and Future Directions-A Review.Biomedicines · 2023Review
- Enhancing Capacity for Food and Nutrient Intake Assessment in Population Sciences Research.Annual review of public health · 2023Review
- Identifying Future Study Designs for Mental Health and Social Wellbeing Associated with Diets of a Cohort Living in Eco-Regions: Findings from the INSUM Expert Workshop.International journal of environmental research and public health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
Biomarkers are an efficient means to examine intakes or exposures and their biological effects and to assess system susceptibility. Aided by novel profiling technologies, the biomarker research field is undergoing rapid development and new putative biomarkers are continuously emerging in the scientific literature. However, the existing concepts for classification of biomarkers in the dietary and health area may be ambiguous, leading to uncertainty about their application. In order to better understand the potential of biomarkers and to communicate their use and application, it is imperative to have a solid scheme for biomarker classification that will provide a well-defined ontology for the field. In this manuscript, we provide an improved scheme for biomarker classification based on their intended use rather than the technology or outcomes (six subclasses are suggested: food compound intake biomarkers (FCIBs), food or food component intake biomarkers (FIBs), dietary pattern biomarkers (DPBs), food compound status biomarkers (FCSBs), effect biomarkers, physiological or health state biomarkers). The application of this scheme is described in detail for the dietary and health area and is compared with previous biomarker classification for this field of research.
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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.