Evidence map›Paper›PMID 32541919›Full record

ArticleInternational journal of obesity (2005)2020

Quantifying the human diet in the crosstalk between nutrition and health by multi-targeted metabolomics of food and microbiota-derived metabolites.

Raúl González-Domínguez, Olga Jáuregui, Pedro Mena, Kati Hanhineva, Francisco José Tinahones, Donato Angelino, Cristina Andrés-Lacueva

Open access · greenAbstract readValidation Study
PubMed Publisher
In one paragraph

Article in International journal of obesity (2005), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.6field-weighted citation impact, top 9% of its field
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

25 citing papers in PubMed, 52 citations in OpenAlex.

  1. Trial
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  5. Wine, Polyphenols, and the Matrix Effect: Is Alcohol Always the Same?International journal of molecular sciences · 2024
    Review
  6. Article
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  9. Review
  10. Exploring Human Metabolome after Wine Intake-A Review.Molecules (Basel, Switzerland) · 2023
    Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Metabolomics application for the design of an optimal diet.Journal of preventive medicine and hygiene · 2022
    Review
  16. Metabolomics: A Powerful Tool to Understand the Schizophrenia Biology.Advances in experimental medicine and biology · 2022
    Article
  17. Article
  18. Review
  19. Article
  20. Review
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

7 authors at 3 institutions in 3 countries.

Raúl González-DomínguezBiomarkers and Nutrimetabolomics Laboratory; Department of Nutrition, Food Sciences and Gastronomy; Food Technology Reference Net (XaRTA); Nutrition and Food Safety Research Institute (INSA); Faculty of Pharmacy and Food Sciences, University of Barcelona, 08028, Barcelona, Spain.ORCID http://orcid.org/0000-0002-7640-8833
Olga JáureguiCIBER Fragilidad y Envejecimiento Saludable (CIBERfes), Instituto de Salud Carlos III, Barcelona, Spain.
Pedro MenaHuman Nutrition Unit, Department of Food and Drugs, University of Parma, Medical School Building C, Via Volturno, 39, 43125, Parma, Italy.
Kati HanhinevaInstitute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland.
Francisco José TinahonesDepartment of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, Institute of Biomedical Research in Malaga (IBIMA), Malaga, Spain.
Donato AngelinoHuman Nutrition Unit, Department of Food and Drugs, University of Parma, Medical School Building C, Via Volturno, 39, 43125, Parma, Italy.ORCID http://orcid.org/0000-0002-5436-7428
Cristina Andrés-LacuevaBiomarkers and Nutrimetabolomics Laboratory; Department of Nutrition, Food Sciences and Gastronomy; Food Technology Reference Net (XaRTA); Nutrition and Food Safety Research Institute (INSA); Faculty of Pharmacy and Food Sciences, University of Barcelona, 08028, Barcelona, Spain. candres@ub.edu.
Instituto de Salud Carlos III · ESUniversity of Parma · ITUniversity of Eastern Finland · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolomics is a powerful tool for investigating the association between nutrition and health status. Although urine is commonly employed for studying the metabolism and transformation of food components, the use of blood samples could be preferable to gain new insights into the bioavailability of diet-derived compounds and their involvement in health. However, the chemical complexity of blood samples hinders the analysis of this biological fluid considerably, which makes the development of novel and comprehensive analytical methods mandatory.

methodsIn this work, we optimized a multi-targeted metabolomics platform for the quantitative and simultaneous analysis of 450 food-derived metabolites by ultra-high performance liquid chromatography coupled to tandem mass spectrometry. To handle the chemical complexity of blood samples, three complementary extraction methods were assayed and compared in terms of recovery, sensitivity, precision and matrix effects with the aim of maximizing metabolomics coverage: protein precipitation, reversed solid-phase extraction, and hybrid protein precipitation with solid-phase extraction-mediated phospholipid removal.

resultsAfter careful optimization of the extraction conditions, protein precipitation enabled the most efficient and high-throughput extraction of the food metabolome in plasma, although solid-phase extraction-based protocols provided complementary performance for the analysis of specific polyphenol classes. The developed method yielded accurate recovery rates with negligible matrix effects, and good linearity, as well as high sensitivity and precision for most of the analyzed metabolites.

conclusionsThe multi-targeted metabolomics platform optimized in this work enables the simultaneous detection and quantitation of 450 dietary metabolites in short-run times using small volumes of biological sample, which facilitates its application to epidemiological studies.

Indexed as

DietMetabolomeMicrobiotaAdultChromatography, High Pressure LiquidFemaleHumansMaleMetabolomicsPhospholipidsPolyphenolsTandem Mass SpectrometryPhospholipidsPolyphenols

Identifiers

PMID32541919
OpenAlexW3035279074

What OpenQuestion holds

Textmetadata
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.