Evidence map›Paper›PMID 38732385›Full record

ArticlePlants (Basel, Switzerland)2024

NMR Metabolite Profiling for the Characterization of Vessalico Garlic Ecotype and Bioactivity against

Valeria Iobbi, Valentina Parisi, Anna Paola Lanteri, Norbert Maggi, Mauro Giacomini, Giuliana Drava, Giovanni Minuto, Andrea Minuto, Nunziatina De Tommasi, Angela Bisio

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2024. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Wild-EdiblePlants (Basel, Switzerland) · 2024
    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

10 authors.

Valeria IobbiDepartment of Pharmacy, University of Genova, Viale Cembrano 4, 16148 Genova, Italy.ORCID 0000-0003-4883-4840
Valentina ParisiDepartment of Pharmacy, University of Salerno, via Giovanni Paolo II 132, 84084 Salerno, Italy.
Anna Paola LanteriCERSAA Centro di Sperimentazione e Assistenza Agricola, Regione Rollo 98, 17031 Albenga, Italy.
Norbert MaggiDepartment of Informatics, Bioengineering, Robotics and System Science, University of Genova, via Opera Pia 13, 16145 Genova, Italy.ORCID 0000-0003-1493-4675
Mauro GiacominiDepartment of Informatics, Bioengineering, Robotics and System Science, University of Genova, via Opera Pia 13, 16145 Genova, Italy.ORCID 0000-0001-5646-2034
Giuliana DravaDepartment of Pharmacy, University of Genova, Viale Cembrano 4, 16148 Genova, Italy.ORCID 0000-0002-8488-9905
Giovanni MinutoCERSAA Centro di Sperimentazione e Assistenza Agricola, Regione Rollo 98, 17031 Albenga, Italy.
Andrea MinutoCERSAA Centro di Sperimentazione e Assistenza Agricola, Regione Rollo 98, 17031 Albenga, Italy.
Nunziatina De TommasiDepartment of Pharmacy, University of Salerno, via Giovanni Paolo II 132, 84084 Salerno, Italy.ORCID 0000-0003-1707-4156
Angela BisioDepartment of Pharmacy, University of Genova, Viale Cembrano 4, 16148 Genova, Italy.ORCID 0000-0002-7559-7732

Funding

EU INTERREG V ALCOTRA (2014 - 2020) PITER Project "ALPIMED INNOV" 4073
6 · The paper itself

Abstract

The Italian garlic ecotype "Vessalico" possesses distinct characteristics compared to its French parent cultivars Messidor and Messidrôme, used for sowing, as well as other ecotypes in neighboring regions. However, due to the lack of a standardized seed supply method and cultivation protocol among farmers in the Vessalico area, a need to identify garlic products that align with the Vessalico ecotype arises. In this study, an NMR-based approach followed by multivariate analysis to analyze the chemical composition of Vessalico garlic sourced from 17 different farms, along with its two French parent cultivars, was employed. Self-organizing maps allowed to identify a homogeneous subset of representative samples of the Vessalico ecotype. Through the OPLS-DA model, the most discriminant metabolites based on values of VIP (Variable Influence on Projections) were selected. Among them,

Indexed as

garlicmultivariate data analysisNMR metabolomicsself-organizing mapsVessalico garlicXanthomonas campestris pv. campestris

Identifiers

PMID38732385
PMCPMC11085173

What OpenQuestion holds

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Registered trials

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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.