Evidence map›Paper›PMID 32913274›Full record

ArticleScientific reports2020

Connectivity mapping of glomerular proteins identifies dimethylaminoparthenolide as a new inhibitor of diabetic kidney disease.

Julie Klein, Cécile Caubet, Mylène Camus, Manousos Makridakis, Colette Denis, Marion Gilet, Guylène Feuillet, Simon Rascalou, Eric Neau, Luc Garrigues and 8 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 22 citations in OpenAlex.

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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 8 institutions in 4 countries.

Julie KleinInstitut National de la Santé et de la Recherche Médicale (INSERM), U1048, Institut of Cardiovascular and Metabolic Disease, Toulouse, France.
Cécile CaubetInstitut National de la Santé et de la Recherche Médicale (INSERM), U1048, Institut of Cardiovascular and Metabolic Disease, Toulouse, France.
Mylène CamusInstitut de Pharmacologie et Biologie Structurale (IPBS), UPS, CNRS, Université de Toulouse, Toulouse, France.
Manousos MakridakisBiotechnology Laboratory, Centre of Basic Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece.
Colette DenisInstitut National de la Santé et de la Recherche Médicale (INSERM), U1048, Institut of Cardiovascular and Metabolic Disease, Toulouse, France.
Marion GiletInstitut National de la Santé et de la Recherche Médicale (INSERM), U1048, Institut of Cardiovascular and Metabolic Disease, Toulouse, France.
Guylène FeuilletInstitut National de la Santé et de la Recherche Médicale (INSERM), U1048, Institut of Cardiovascular and Metabolic Disease, Toulouse, France.
Simon RascalouInstitut National de la Santé et de la Recherche Médicale (INSERM), U1048, Institut of Cardiovascular and Metabolic Disease, Toulouse, France.
Eric NeauInstitut National de la Santé et de la Recherche Médicale (INSERM), U1048, Institut of Cardiovascular and Metabolic Disease, Toulouse, France.
Luc GarriguesInstitut de Pharmacologie et Biologie Structurale (IPBS), UPS, CNRS, Université de Toulouse, Toulouse, France.
Olivier Thillaye du BoullayLaboratoire Hétérochimie Fondamentale et Appliquée, CNRS/Université Paul Sabatier, Toulouse, France.
Harald MischakMosaiques Diagnostics GmbH, Hannover, Germany.
Bernard MonsarratInstitut de Pharmacologie et Biologie Structurale (IPBS), UPS, CNRS, Université de Toulouse, Toulouse, France.
Odile Burlet-SchiltzInstitut de Pharmacologie et Biologie Structurale (IPBS), UPS, CNRS, Université de Toulouse, Toulouse, France.
Antonia VlahouBiotechnology Laboratory, Centre of Basic Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece.
Jean Sébastien Saulnier-BlacheInstitut National de la Santé et de la Recherche Médicale (INSERM), U1048, Institut of Cardiovascular and Metabolic Disease, Toulouse, France. jean-sebastien.saulnier-blache@inserm.fr.
Jean-Loup BascandsInstitut National de la Santé et de la Recherche Médicale (INSERM), U1188 - Université de La Réunion, Saint-Denis, France. jean-loup.bascands@inserm.fr.
Joost P SchanstraInstitut National de la Santé et de la Recherche Médicale (INSERM), U1048, Institut of Cardiovascular and Metabolic Disease, Toulouse, France. joost-peter.schanstra@inserm.fr.
Institut des Maladies Métaboliques et Cardiovasculaires · FRUniversité Toulouse III - Paul Sabatier · FRInserm · FRBiomedical Research Foundation of the Academy of Athens · GRCentre National de la Recherche Scientifique · FRLaboratoire Hétérochimie Fondamentale et Appliquée · FRMosaiques Diagnostics and Therapeutics (Germany) · DEUniversité Fédérale de Toulouse Midi-Pyrénées · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While blocking the renin angiotensin aldosterone system (RAAS) has been the main therapeutic strategy to control diabetic kidney disease (DKD) for many years, 25-30% of diabetic patients still develop the disease. In the present work we adopted a systems biology strategy to analyze glomerular protein signatures to identify drugs with potential therapeutic properties in DKD acting through a RAAS-independent mechanism. Glomeruli were isolated from wild type and type 1 diabetic (Ins2Akita) mice treated or not with the angiotensin-converting enzyme inhibitor (ACEi) ramipril. Ramipril efficiently reduced the urinary albumin/creatine ratio (ACR) of Ins2Akita mice without modifying DKD-associated renal-injuries. Large scale quantitative proteomics was used to identify the DKD-associated glomerular proteins (DKD-GPs) that were ramipril-insensitive (RI-DKD-GPs). The raw data are publicly available via ProteomeXchange with identifier PXD018728. We then applied an in silico drug repurposing approach using a pattern-matching algorithm (Connectivity Mapping) to compare the RI-DKD-GPs's signature with a collection of thousands of transcriptional signatures of bioactive compounds. The sesquiterpene lactone parthenolide was identified as one of the top compounds predicted to reverse the RI-DKD-GPs's signature. Oral treatment of 2 months old Ins2Akita mice with dimethylaminoparthenolide (DMAPT, a water-soluble analogue of parthenolide) for two months at 10 mg/kg/d by gavage significantly reduced urinary ACR. However, in contrast to ramipril, DMAPT also significantly reduced glomerulosclerosis and tubulointerstitial fibrosis. Using a system biology approach, we identified DMAPT, as a compound with a potential add-on value to standard-of-care ACEi-treatment in DKD.

Indexed as

Angiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsAnimalsConnectomeDiabetes Mellitus, Type 1Diabetic NephropathiesGene Expression RegulationGlomerular Filtration RateKidney GlomerulusMaleMiceMice, Inbred C57BLRenin-Angiotensin SystemSesquiterpenesAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsLC-1 compoundSesquiterpenes

Identifiers

PMID32913274
PMCPMC7484761
OpenAlexW3084189485

What Socratic 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 Socratic graph.