Evidence map›Paper›PMID 25205225›Full record

ArticleMolecular & cellular proteomics : MCP2014

Label-free quantitative urinary proteomics identifies the arginase pathway as a new player in congenital obstructive nephropathy.

Chrystelle Lacroix, Cécile Caubet, Anne Gonzalez-de-Peredo, Benjamin Breuil, David Bouyssié, Alexandre Stella, Luc Garrigues, Caroline Le Gall, Anthony Raevel, Angelique Massoubre and 8 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
6.1field-weighted citation impact, top 4% 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

8 citing papers in PubMed, 26 citations in OpenAlex.

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  7. Urinary biomarkers for renal tract malformations.Expert review of proteomics · 2016
    Review
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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

18 authors at 6 institutions in 1 country.

Chrystelle LacroixFrom the ‡Centre National de la Recherche Scientifique, Institut de Pharmacologie et de Biologie Structurale, F-31077 Toulouse, France; §Université Paul Sabatier, Toulouse, France;
Cécile Caubet§Université Paul Sabatier, Toulouse, France; ¶Institut National de la Santé et de la Recherche Médicale (INSERM), U1048, Institut of Cardiovascular and Metabolic Disease, Toulouse, France;
Anne Gonzalez-de-PeredoFrom the ‡Centre National de la Recherche Scientifique, Institut de Pharmacologie et de Biologie Structurale, F-31077 Toulouse, France; §Université Paul Sabatier, Toulouse, France;
Benjamin Breuil§Université Paul Sabatier, Toulouse, France; ¶Institut National de la Santé et de la Recherche Médicale (INSERM), U1048, Institut of Cardiovascular and Metabolic Disease, Toulouse, France;
David BouyssiéFrom the ‡Centre National de la Recherche Scientifique, Institut de Pharmacologie et de Biologie Structurale, F-31077 Toulouse, France; §Université Paul Sabatier, Toulouse, France;
Alexandre StellaFrom the ‡Centre National de la Recherche Scientifique, Institut de Pharmacologie et de Biologie Structurale, F-31077 Toulouse, France; §Université Paul Sabatier, Toulouse, France;
Luc GarriguesFrom the ‡Centre National de la Recherche Scientifique, Institut de Pharmacologie et de Biologie Structurale, F-31077 Toulouse, France; §Université Paul Sabatier, Toulouse, France;
Caroline Le Gall‖Methodomics, Toulouse, France; **Institut de Mathématiques de Toulouse, UMR 5219, INSA de Toulouse, Université de Toulouse, 135 Avenue de Rangueil, F-31077 Toulouse, France;
Anthony Raevel§Université Paul Sabatier, Toulouse, France; ¶Institut National de la Santé et de la Recherche Médicale (INSERM), U1048, Institut of Cardiovascular and Metabolic Disease, Toulouse, France;
Angelique Massoubre§Université Paul Sabatier, Toulouse, France; ¶Institut National de la Santé et de la Recherche Médicale (INSERM), U1048, Institut of Cardiovascular and Metabolic Disease, Toulouse, France;
Julie Klein§Université Paul Sabatier, Toulouse, France; ¶Institut National de la Santé et de la Recherche Médicale (INSERM), U1048, Institut of Cardiovascular and Metabolic Disease, Toulouse, France;
Stéphane Decramer§Université Paul Sabatier, Toulouse, France; ¶Institut National de la Santé et de la Recherche Médicale (INSERM), U1048, Institut of Cardiovascular and Metabolic Disease, Toulouse, France; ‡‡Nephrology and Internal Medicine Department, University Children's Hospital, Toulouse, France;
Frédérique Sabourdy§§Laboratoire de Biochimie Métabolique, IFB, CHU Purpan, and INSERM UMR 1037, CRCT CHU Rangueil, Toulouse, France.
Flavio Bandin§Université Paul Sabatier, Toulouse, France; ¶Institut National de la Santé et de la Recherche Médicale (INSERM), U1048, Institut of Cardiovascular and Metabolic Disease, Toulouse, France; ‡‡Nephrology and Internal Medicine Department, University Children's Hospital, Toulouse, France;
Odile Burlet-SchiltzFrom the ‡Centre National de la Recherche Scientifique, Institut de Pharmacologie et de Biologie Structurale, F-31077 Toulouse, France; §Université Paul Sabatier, Toulouse, France;
Bernard MonsarratFrom the ‡Centre National de la Recherche Scientifique, Institut de Pharmacologie et de Biologie Structurale, F-31077 Toulouse, France; §Université Paul Sabatier, Toulouse, France;
Joost-Peter Schanstra§Université Paul Sabatier, Toulouse, France; ¶Institut National de la Santé et de la Recherche Médicale (INSERM), U1048, Institut of Cardiovascular and Metabolic Disease, Toulouse, France; joost-peter.schanstra@inserm.fr.
Jean-Loup Bascands§Université Paul Sabatier, Toulouse, France; ¶Institut National de la Santé et de la Recherche Médicale (INSERM), U1048, Institut of Cardiovascular and Metabolic Disease, Toulouse, France; joost-peter.schanstra@inserm.fr.
Inserm · FRInstitut de Pharmacologie et de Biologie Structurale · FRUniversité Toulouse III - Paul Sabatier · FRInstitut des Maladies Métaboliques et Cardiovasculaires · FRToulouse Mathematics Institute · FRUniversité Fédérale de Toulouse Midi-Pyrénées · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obstructive nephropathy is a frequently encountered situation in newborns. In previous studies, the urinary peptidome has been analyzed for the identification of clinically useful biomarkers of obstructive nephropathy. However, the urinary proteome has not been explored yet and should allow additional insight into the pathophysiology of the disease. We have analyzed the urinary proteome of newborns (n = 5/group) with obstructive nephropathy using label free quantitative nanoLC-MS/MS allowing the identification and quantification of 970 urinary proteins. We next focused on proteins exclusively regulated in severe obstructive nephropathy and identified Arginase 1 as a potential candidate molecule involved in the development of obstructive nephropathy, located at the crossroad of pro- and antifibrotic pathways. The reduced urinary abundance of Arginase 1 in obstructive nephropathy was verified in independent clinical samples using both Western blot and MRM analysis. These data were confirmed in situ in kidneys obtained from a mouse obstructive nephropathy model. In addition, we also observed increased expression of Arginase 2 and increased total arginase activity in obstructed mouse kidneys. mRNA expression analysis of the related arginase pathways indicated that the pro-fibrotic arginase-related pathway is activated during obstructive nephropathy. Taken together we have identified a new actor in the development of obstructive nephropathy in newborns using quantitative urinary proteomics and shown its involvement in an in vivo model of disease. The present study demonstrates the relevance of such a quantitative urinary proteomics approach with clinical samples for a better understanding of the pathophysiology and for the discovery of potential therapeutic targets.

Indexed as

AnimalsArginaseDisease Models, AnimalGene Expression RegulationHumansHydronephrosisInfantInfant, NewbornKidneyMaleMice, Inbred C57BLProteomeProteomicsRenal InsufficiencySignal TransductionARG1 protein, humanARG2 protein, humanArginaseProteome

Identifiers

PMID25205225
PMCPMC4256494
OpenAlexW2127263274

What OpenQuestion holds

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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.