Evidence map›Paper›PMID 31100942›Full record

ReviewNutrients2019

Biomarkers of Nutrition and Health: New Tools for New Approaches.

Catalina Picó, Francisca Serra, Ana María Rodríguez, Jaap Keijer, Andreu Palou

Abstract readReview
In one paragraph

Review in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 126 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
126citing papers in PubMed, 6 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

126 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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  4. Polygenic Risk and Nutrient Intake Interactions on Obesity Outcomes: A Systematic Review and Meta-Analysis of Observational Studies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
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66 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Catalina PicóLaboratory of Molecular Biology, Nutrition and Biotechnology (Group of Nutrigenomics and Obesity), CIBER de Fisiopatología de la Obesidad y Nutrición (CIBERobn) and Instituto de Investigación Sanitaria Illes Balears (IdISBa), University of the Balearic Islands, ES-07122 Palma de Mallorca, Spain. cati.pico@uib.es.
Francisca SerraLaboratory of Molecular Biology, Nutrition and Biotechnology (Group of Nutrigenomics and Obesity), CIBER de Fisiopatología de la Obesidad y Nutrición (CIBERobn) and Instituto de Investigación Sanitaria Illes Balears (IdISBa), University of the Balearic Islands, ES-07122 Palma de Mallorca, Spain. francisca.serra@uib.es.
Ana María RodríguezLaboratory of Molecular Biology, Nutrition and Biotechnology (Group of Nutrigenomics and Obesity), CIBER de Fisiopatología de la Obesidad y Nutrición (CIBERobn) and Instituto de Investigación Sanitaria Illes Balears (IdISBa), University of the Balearic Islands, ES-07122 Palma de Mallorca, Spain. amrodriguez@uib.es.
Jaap KeijerHuman and Animal Physiology, Wageningen University, PO Box 338, 6700 AH Wageningen, The Netherlands. jaap.keijer@wur.nl.
Andreu PalouLaboratory of Molecular Biology, Nutrition and Biotechnology (Group of Nutrigenomics and Obesity), CIBER de Fisiopatología de la Obesidad y Nutrición (CIBERobn) and Instituto de Investigación Sanitaria Illes Balears (IdISBa), University of the Balearic Islands, ES-07122 Palma de Mallorca, Spain. andreu.palou@uib.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A main challenge in nutritional studies is the valid and reliable assessment of food intake, as well as its effects on the body. Generally, food intake measurement is based on self-reported dietary intake questionnaires, which have inherent limitations. They can be overcome by the use of biomarkers, capable of objectively assessing food consumption without the bias of self-reported dietary assessment. Another major goal is to determine the biological effects of foods and their impact on health. Systems analysis of dynamic responses may help to identify biomarkers indicative of intake and effects on the body at the same time, possibly in relation to individuals' health/disease states. Such biomarkers could be used to quantify intake and validate intake questionnaires, analyse physiological or pathological responses to certain food components or diets, identify persons with specific dietary deficiency, provide information on inter-individual variations or help to formulate personalized dietary recommendations to achieve optimal health for particular phenotypes, currently referred as "precision nutrition." In this regard, holistic approaches using global analysis methods (omics approaches), capable of gathering high amounts of data, appear to be very useful to identify new biomarkers and to enhance our understanding of the role of food in health and disease.

Indexed as

Nutritional StatusNutrition AssessmentBiomarkersBlood GlucoseHumansInsulinBiomarkersBlood GlucoseInsulinfood intake assessmentintegrative biomarkersomics technologiesprecision nutrition

Identifiers

PMID31100942
PMCPMC6567133

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.