Evidence map›Paper›PMID 32967625›Full record

ReviewGenes & nutrition2020

Food intake biomarkers for berries and grapes.

M Ulaszewska, M Garcia-Aloy, N Vázquez-Manjarrez, M T Soria-Florido, R Llorach, F Mattivi, C Manach

Abstract readReview
In one paragraph

Review in Genes & nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Biomarkers of Berry Intake: Systematic Review Update.Journal of agricultural and food chemistry · 2023
    Pooled it
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  4. Circadian Modulation of the Antioxidant Effect of Grape Consumption: A Randomized Controlled Trial.International journal of environmental research and public health · 2023
    Trial
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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

7 authors.

M UlaszewskaFondazione Edmund Mach, Research and Innovation Centre Food Quality and Nutrition, Via Mach 1, 38010, San Michele all'Adige, Italy.ORCID http://orcid.org/0000-0002-0929-2359
M Garcia-AloyBiomarkers and Nutrimetabolomic Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Food Technology Reference Net (XaRTA), Nutrition and Food Safety Research Institute (INSA-UB), Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain. mar.garcia.aloy@gmail.com.
N Vázquez-ManjarrezUniversité Clermont Auvergne, INRAE, UNH, F-63000, Clermont-Ferrand, France.
M T Soria-FloridoBiomarkers and Nutrimetabolomic Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Food Technology Reference Net (XaRTA), Nutrition and Food Safety Research Institute (INSA-UB), Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain.
R LlorachBiomarkers and Nutrimetabolomic Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Food Technology Reference Net (XaRTA), Nutrition and Food Safety Research Institute (INSA-UB), Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain.
F MattiviFondazione Edmund Mach, Research and Innovation Centre Food Quality and Nutrition, Via Mach 1, 38010, San Michele all'Adige, Italy.
C ManachUniversité Clermont Auvergne, INRAE, UNH, F-63000, Clermont-Ferrand, France.

Funding

Joint Programming Initiative A healthy diet for a healthy life FoodBall, French Agence Nationale de la Recherche (#ANR-14-HDHL-0002-02 and ANR-19-HDH2-0002) - PhD StudentJoint Programming Initiative A healthy diet for a healthy life FoodBall French Agence Nationale de la Recherche (#ANR-14-HDHL-0002-02 and ANR-19-HDH2-0002) - Principal InvestigatorJoint Programming Initiative A healthy diet for a healthy life FoodBall, Ministry of Education, University and Research, MIUR (decreto n.2075 of 18/09/2015) - Post DocJoint Programming Initiative A healthy diet for a healthy life FOODBALL Ministry of Education, University and Research, MIUR (decreto n.2075 of 18/09/2015) - Principal InvestigatorJoint Programming Initiative A healthy diet for a healthy life FoodPhyt - ANR-19-HDH2-0002-01 - Principal InvestigatorMINECO (PCIN-2014-133-MINECO Spain)MINECO PCIN-2014-133-MINECO Spain
6 · The paper itself

Abstract

Grapes and berries are two types of widely consumed fruits characterized by a high content in different phytochemicals. However, their accurate dietary assessment is particularly arduous, because of the already wide recognized bias associated with self-reporting methods, combined with the large range of species and cultivars and the fact that these fruits are popularly consumed not only in fresh and frozen forms but also as processed and derived products, including dried and canned fruits, beverages, jams, and jellies. Reporting precise type and/or quantity of grape and berries in FFQ or diaries can obviously be affected by errors. Recently, biomarkers of food intake (BFIs) rose as a promising tool to provide accurate information indicating consumption of certain food items. Protocols for performing systematic reviews in this field, as well as for assessing the validity of candidate BFIs have been developed within the Food Biomarker Alliance (FoodBAll) Project. This paper aims to evaluate the putative BIFs for blueberries, strawberries, raspberries, blackberries, cranberries, blackcurrant, and grapes. Candidate BFIs for grapes were resveratrol metabolites and tartaric acid. The metabolites considered as putative BFI for berries consumption were mostly anthocyanins derivatives together with several metabolites of ellagitannins and some aroma compounds. However, identification of BFIs for single berry types encountered more difficulties. In the absence of highly specific metabolites reported to date, we suggested some multi-metabolite panels that may be further investigated as putative biomarkers for some berry fruits.

Indexed as

BiomarkersBlackberryBlackcurrantBlueberryCranberryGrapeIntakeRaisinRaspberryStrawberry

Identifiers

PMID32967625
PMCPMC7509942

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.