Evidence map›Paper›PMID 32012793›Full record

ArticleNutrients2020

Carrot Genotypes Contrasted by Root Color and Grown under Different Conditions Displayed Differential Pharmacological Profiles in Vascular and Metabolic Cells.

Raffaella Soleti, Patricia Mallegol, Grégory Hilairet, Mehdi Frifra, Florent Perrin, Cécile Dubois-Laurent, Sébastien Huet, Pascale Pignon, Laetitia Basset, Emmanuel Geoffriau and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

11 authors at 2 institutions in 1 country.

Raffaella SoletiSOPAM, U1063, INSERM, UNIV Angers, SFR ICAT, 49100 Angers, France.
Patricia MallegolSOPAM, U1063, INSERM, UNIV Angers, SFR ICAT, 49100 Angers, France.
Grégory HilairetSOPAM, U1063, INSERM, UNIV Angers, SFR ICAT, 49100 Angers, France.
Mehdi FrifraSOPAM, U1063, INSERM, UNIV Angers, SFR ICAT, 49100 Angers, France.
Florent PerrinIRHS, Agrocampus Ouest, Inrae, Université d'Angers, SFR Quasav, 49045 Angers, France.
Cécile Dubois-LaurentIRHS, Agrocampus Ouest, Inrae, Université d'Angers, SFR Quasav, 49045 Angers, France.
Sébastien HuetIRHS, Agrocampus Ouest, Inrae, Université d'Angers, SFR Quasav, 49045 Angers, France.
Pascale PignonCRCINA, INSERM, Université de Nantes, Université d'Angers, 49100 Angers, France .
Laetitia BassetCRCINA, INSERM, Université de Nantes, Université d'Angers, 49100 Angers, France .
Emmanuel GeoffriauIRHS, Agrocampus Ouest, Inrae, Université d'Angers, SFR Quasav, 49045 Angers, France.
Ramaroson AndriantsitohainaSOPAM, U1063, INSERM, UNIV Angers, SFR ICAT, 49100 Angers, France.
Inserm · FRInstitut Agro Rennes-Angers · FR

Funding

Région Pays de la Loire INUMAMET
6 · The paper itself

Abstract

Carrots' genotype and growing conditions influence their potential properties to fight against cardiovascular and metabolic diseases. The present study evaluated the influence of carrot genotypes contrasted by root color (Bolero, Presto, Karotan, Deep Purple, Kintoki and Blanche des Vosges) growing under standard, water-restricted, biotic stress (

Indexed as

GenotypePigmentationAnimalsCell ProliferationCells, CulturedDaucus carotaHumansMicePlant ExtractsPlant RootsPlant Extractsapoptosiscarrot extractsinflammationlipid accumulationmetabolic cellsoxidative stressproliferationvascular cells

Identifiers

PMID32012793
PMCPMC7071275
OpenAlexW3002635609

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.