Evidence map›Paper›PMID 30467300›Full record

ArticleMolecules (Basel, Switzerland)2018

Proteome Investigation of Rat Lungs subjected to Ex Vivo Perfusion (EVLP).

Valentina Roffia, Antonella De Palma, Caterina Lonati, Dario Di Silvestre, Rossana Rossi, Marco Mantero, Stefano Gatti, Daniele Dondossola, Franco Valenza, Pierluigi Mauri and 1 more

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  14. Special Issue: Mass Spectrometric Proteomics.Molecules (Basel, Switzerland) · 2019
    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.

Valentina RoffiaCenter for Preclinical Research, Fondazione IRCCS Ca' Granda-Ospedale Maggiore Policlinico, 20122 Milan, Italy. valentina.roffia@itb.cnr.it.ORCID 0000-0002-0996-7467
Antonella De PalmaProteomics and Metabolomics Unit, Institute for Biomedical Technologies (ITB-CNR), 20090 Segrate (MI), Italy. antonella.depalma@itb.cnr.it.ORCID 0000-0001-5937-8604
Caterina LonatiDepartment of Anesthesia and Critical Care, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy. caterina.lonati@gmail.com.ORCID 0000-0001-7855-7851
Dario Di SilvestreProteomics and Metabolomics Unit, Institute for Biomedical Technologies (ITB-CNR), 20090 Segrate (MI), Italy. dario.disilvestre@itb.cnr.it.ORCID 0000-0002-7143-6229
Rossana RossiProteomics and Metabolomics Unit, Institute for Biomedical Technologies (ITB-CNR), 20090 Segrate (MI), Italy. rossana.rossi@itb.cnr.it.ORCID 0000-0002-0313-7083
Marco ManteroDepartment of Pathophysiology and Transplantation, Università degli Studi di Milano, and Internal Medicine Department, Respiratory Unit and Adult Cystic Fibrosis Center, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, 20122 Milano, Italy. marco.mantero@unimi.it.
Stefano GattiCenter for Preclinical Research, Fondazione IRCCS Ca' Granda-Ospedale Maggiore Policlinico, 20122 Milan, Italy. stefano.gatti@policlinico.mi.it.
Daniele DondossolaSurgery and Liver Transplant Center, Fondazione IRCCS Ca' Granda-Ospedale Maggiore Policlinico, 20122 Milan, Italy. dondossola.daniele@gmail.com.
Franco ValenzaDepartment of Pathophysiology and Transplantation, University of Milan, 20122 Milan, Italy. franco.valenza@unimi.it.
Pierluigi MauriProteomics and Metabolomics Unit, Institute for Biomedical Technologies (ITB-CNR), 20090 Segrate (MI), Italy. pierluigi.mauri@itb.cnr.it.ORCID 0000-0003-4364-0393
Francesco BlasiDepartment of Pathophysiology and Transplantation, Università degli Studi di Milano, and Internal Medicine Department, Respiratory Unit and Adult Cystic Fibrosis Center, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, 20122 Milano, Italy. francesco.blasi@unimi.it.ORCID 0000-0002-2285-9970

Funding

Consiglio Nazionale delle Ricerche Interomics FLAGSHIPs ProjectRegione Lombardia AMANDA project
6 · The paper itself

Abstract

Ex vivo lung perfusion (EVLP) is an emerging procedure that allows organ preservation, assessment and reconditioning, increasing the number of marginal donor lungs for transplantation. However, physiological and airflow measurements are unable to unveil the molecular mechanisms responsible of EVLP beneficial effects on lung graft and monitor the proper course of the treatment. Thus, it is urgent to find specific biomarkers that possess these requirements but also accurate and reliable techniques that identify them. The purpose of this study is to give an overview on the potentiality of shotgun proteomic platforms in characterizing the status and the evolution of metabolic pathways during EVLP in order to find new potential EVLP-related biomarkers. A nanoLC-MS/MS system was applied to the proteome analysis of lung tissues from an optimized rat model in three experimental groups: native, pre- and post-EVLP. Technical and biological repeatability were evaluated and, together with clustering analysis, underlined the good quality of data produced. In-house software and bioinformatics tools allowed the label-free extraction of differentially expressed proteins among the three examined conditions and the network visualization of the pathways mainly involved. These promising findings encourage further proteomic investigations of the molecular mechanisms behind EVLP procedure.

Indexed as

Metabolic Networks and PathwaysAnimalsBiomarkersChromatography, LiquidLungModels, AnimalNanotechnologyOrgan PreservationPerfusionProtein Interaction MapsProteomicsRatsTandem Mass SpectrometryBiomarkersEx Vivo Lung Perfusion (EVLP)nanoLC-MS/MSproteomicstransplantation

Identifiers

PMID30467300
PMCPMC6321151

What OpenQuestion holds

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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.