Evidence map›Paper›PMID 35740067›Full record

ArticleAntioxidants (Basel, Switzerland)2022

Identification and Quantification of Urinary Microbial Phenolic Metabolites by HPLC-ESI-LTQ-Orbitrap-HRMS and Their Relationship with Dietary Polyphenols in Adolescents.

Emily P Laveriano-Santos, María Marhuenda-Muñoz, Anna Vallverdú-Queralt, Miriam Martínez-Huélamo, Anna Tresserra-Rimbau, Elefterios Miliarakis, Camila Arancibia-Riveros, Olga Jáuregui, Ana María Ruiz-León, Sara Castro-Baquero and 9 more

Open access · goldAbstract read
In one paragraph

Article in Antioxidants (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 20 citations in OpenAlex.

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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

19 authors at 4 institutions in 2 countries.

Emily P Laveriano-SantosDepartment of Nutrition, Food Science and Gastronomy, XIA, Faculty of Pharmacy and Food Sciences, Institute of Nutrition and Food Safety (INSA-UB), University of Barcelona, 08028 Barcelona, Spain.ORCID 0000-0002-4852-6074
María Marhuenda-MuñozDepartment of Nutrition, Food Science and Gastronomy, XIA, Faculty of Pharmacy and Food Sciences, Institute of Nutrition and Food Safety (INSA-UB), University of Barcelona, 08028 Barcelona, Spain.ORCID 0000-0003-0580-4262
Anna Vallverdú-QueraltDepartment of Nutrition, Food Science and Gastronomy, XIA, Faculty of Pharmacy and Food Sciences, Institute of Nutrition and Food Safety (INSA-UB), University of Barcelona, 08028 Barcelona, Spain.ORCID 0000-0001-6287-799X
Miriam Martínez-HuélamoDepartment of Nutrition, Food Science and Gastronomy, XIA, Faculty of Pharmacy and Food Sciences, Institute of Nutrition and Food Safety (INSA-UB), University of Barcelona, 08028 Barcelona, Spain.
Anna Tresserra-RimbauDepartment of Nutrition, Food Science and Gastronomy, XIA, Faculty of Pharmacy and Food Sciences, Institute of Nutrition and Food Safety (INSA-UB), University of Barcelona, 08028 Barcelona, Spain.ORCID 0000-0002-7022-9041
Elefterios MiliarakisDepartment of Nutrition, Food Science and Gastronomy, XIA, Faculty of Pharmacy and Food Sciences, Institute of Nutrition and Food Safety (INSA-UB), University of Barcelona, 08028 Barcelona, Spain.
Camila Arancibia-RiverosDepartment of Nutrition, Food Science and Gastronomy, XIA, Faculty of Pharmacy and Food Sciences, Institute of Nutrition and Food Safety (INSA-UB), University of Barcelona, 08028 Barcelona, Spain.
Olga JáureguiScientific and Technological Center of University of Barcelona (CCiTUB), 08028 Barcelona, Spain.ORCID 0000-0002-5834-3829
Ana María Ruiz-LeónCIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.ORCID 0000-0001-8180-5991
Sara Castro-BaqueroCIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.ORCID 0000-0002-6876-5443
Ramón EstruchCIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.ORCID 0000-0003-1260-4445
Patricia BodegaFoundation for Science, Health and Education (SHE), 08008 Barcelona, Spain.ORCID 0000-0003-4927-2093
Mercedes de MiguelFoundation for Science, Health and Education (SHE), 08008 Barcelona, Spain.
Amaya de Cos-GandoyFoundation for Science, Health and Education (SHE), 08008 Barcelona, Spain.
Jesús Martínez-GómezCentro Nacional de Investigaciones Cardiovasculares Carlos III (F.S.P.), 28029 Madrid, Spain.ORCID 0000-0002-7770-073X
Gloria Santos-BeneitFoundation for Science, Health and Education (SHE), 08008 Barcelona, Spain.
Juan M Fernández-AlviraCentro Nacional de Investigaciones Cardiovasculares Carlos III (F.S.P.), 28029 Madrid, Spain.
Rodrigo Fernández-JiménezCentro Nacional de Investigaciones Cardiovasculares Carlos III (F.S.P.), 28029 Madrid, Spain.
Rosa M Lamuela-RaventósDepartment of Nutrition, Food Science and Gastronomy, XIA, Faculty of Pharmacy and Food Sciences, Institute of Nutrition and Food Safety (INSA-UB), University of Barcelona, 08028 Barcelona, Spain.ORCID 0000-0002-1287-4560
Instituto de Salud Carlos III · ESSpanish National Centre for Cardiovascular Research · ESUniversitat de Barcelona · ESCardiovascular Institute of the South · US

Funding

Caixa Foundation LCF/PR/CE16/10700001Centro Nacional de Investigaciones Cardiovasculares CEX2020-001041-SCICYT AGL2016-75329-R and PID2020-114022RB-I00]Fondo de Investigación Sanitaria- Instituto de Salud Carlos III (ISCIII) and co-funded by the Eu-ropean Regional Development Fund/European Social Fund "A way to make Europe"/"Investing in your future" PI19/01704Fundació la Marató de TV3 369/C/2016Government of Catalonia 2017 SGR 196Government of Catalonia FI-SDUR (EMC/3345/2020)Instituto de Salud Carlos III CIBEROBN CB12/03/30020"la Caixa" Foundation fellowship LCF/PR/MS19/12220001Ministerio de Ciencia e Innovación AGL2016-75329-RMinistry of Science, Innovation, and Universities FPU17/00513Ministry of Science, Innovation, and Universities FPU17/00785Ministry of Science, Innovation, and Universities for the Ramon y Cajal RYC-2016-19355
6 · The paper itself

Abstract

This study aimed to develop and validate a liquid chromatography/electrospray ionization-linear ion trap quadrupole-Orbitrap-high-resolution mass spectrometry (HPLC/ESI-LTQ-Orbitrap-HRMS) method to identify and quantify urinary microbial phenolic metabolites (MPM), as well as to explore the relationship between MPM and dietary (poly)phenols in Spanish adolescents. A total of 601 spot urine samples of adolescents aged 12.02 ± 0.41 years were analyzed. The quantitative method was validated for linearity, limit of detection, limit of quantification, recovery, intra- and inter-day accuracy and precision, as well as postpreparative stability according to the criteria established by the Association of Official Agricultural Chemists International. A total of 17 aglycones and 37 phase II MPM were identified and quantified in 601 spot urine samples. Phenolic acids were the most abundant urinary MPM, whereas stilbenes, hydroxytyrosol, and enterodiol were the least abundant. Urinary hydroxycoumarin acids (urolithins) were positively correlated with flavonoid and total (poly)phenol intake. An HPLC-ESI-LTQ-Orbitrap-HRMS method was developed and fully validated to quantify MPM. The new method was performed accurately and is suitable for MPM quantification in large epidemiological studies. Urinary lignans and urolithins are proposed as potential biomarkers of grain and nut intake in an adolescent population.

Indexed as

biomarkerdietary antioxidantsmicrobiotaphytochemicalpolyphenol

Identifiers

PMID35740067
PMCPMC9220091
OpenAlexW4282929178

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.