Evidence map›Paper›PMID 34940585›Full record

ArticleMetabolites2021

Grape Lipidomics: An Extensive Profiling thorough UHPLC-MS/MS Method.

Domenico Masuero, Domen Škrab, Giulia Chitarrini, Mar Garcia-Aloy, Pietro Franceschi, Paolo Sivilotti, Graziano Guella, Urska Vrhovsek

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Advances in pharmacological and pharmaceutical sciences · 2024
    Article
  5. Semi-Targeted Profiling of the Lipidome Changes Induced byInternational journal of molecular sciences · 2023
    Article
  6. 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

8 authors at 3 institutions in 1 country.

Domenico MasueroResearch and Innovation Centre, Department of Food Quality and Nutrition, Fondazione Edmund Mach, 38098 San Michele all'Adige, Italy.ORCID 0000-0003-0696-3206
Domen ŠkrabResearch and Innovation Centre, Department of Food Quality and Nutrition, Fondazione Edmund Mach, 38098 San Michele all'Adige, Italy.ORCID 0000-0003-0626-0420
Giulia ChitarriniResearch and Innovation Centre, Department of Food Quality and Nutrition, Fondazione Edmund Mach, 38098 San Michele all'Adige, Italy.ORCID 0000-0003-2731-8134
Mar Garcia-AloyResearch and Innovation Centre, Department of Food Quality and Nutrition, Fondazione Edmund Mach, 38098 San Michele all'Adige, Italy.ORCID 0000-0002-1330-6610
Pietro FranceschiUnit of Computational Biology, Research and Innovation Centre, Fondazione Edmund Mach, 38098 San Michele all'Adige, Italy.ORCID 0000-0001-5711-4429
Paolo SivilottiDepartment of Agricultural, Food, Environmental and Animal Sciences, University of Udine, 33100 Udine, Italy.ORCID 0000-0003-1405-6358
Graziano GuellaBioorganic Chemistry Laboratory, Department of Physics, University of Trento, 38123 Trento, Italy.ORCID 0000-0002-1799-0819
Urska VrhovsekResearch and Innovation Centre, Department of Food Quality and Nutrition, Fondazione Edmund Mach, 38098 San Michele all'Adige, Italy.
Fondazione Edmund Mach · ITUniversity of Trento · ITUniversity of Udine · IT

Funding

Provincia Autonoma di Trento C49H18000000001
6 · The paper itself

Abstract

Lipids play many essential roles in living organisms, which accounts for the great diversity of these amphiphilic molecules within the individual lipid classes, while their composition depends on intrinsic and extrinsic factors. Recent developments in mass spectrometric methods have significantly contributed to the widespread application of the liquid chromatography-mass spectrometry (LC-MS) approach to the analysis of plant lipids. However, only a few investigators have studied the extensive composition of grape lipids. The present work describes the development of an ultrahigh performance liquid chromatography tandem mass spectrometry (UHPLC-MS/MS) method that includes 8098 MRM; the method has been validated using a reference sample of grapes at maturity with a successful analysis and semi-quantification of 412 compounds. The aforementioned method was subsequently applied also to the analysis of the lipid profile variation during the Ribolla Gialla cv. grape maturation process. The partial least squares (PLS) regression model fitted to our experimental data showed that a higher proportion of certain glycerophospholipids (i.e., glycerophosphoethanolamines, PE and glycerophosphoglycerols, PG) and of some hydrolysates from those groups (i.e., lyso-glycerophosphocholines, LPC and lyso-glycerophosphoethanolamines, LPE) can be positively associated with the increasing °Brix rate, while a negative association was found for ceramides (CER) and galactolipids digalactosyldiacylglycerols (DGDG). The validated method has proven to be robust and informative for profiling grape lipids, with the possibility of application to other studies and matrices.

Indexed as

grapelipidomelipidomicsliquid chromatographymass spectrometry

Identifiers

PMID34940585
PMCPMC8706896
OpenAlexW4200353004

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.