Evidence map›Paper›PMID 24971338›Full record

ArticleBioMed research international2014

Conversion to sirolimus ameliorates cyclosporine-induced nephropathy in the rat: focus on serum, urine, gene, and protein renal expression biomarkers.

José Sereno, Sara Nunes, Paulo Rodrigues-Santos, Helena Vala, Petronila Rocha-Pereira, João Fernandes, Alice Santos-Silva, Frederico Teixeira, Flávio Reis

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Podocyte Lysosome Dysfunction in Chronic Glomerular Diseases.International journal of molecular sciences · 2020
    Review
  4. Review
  5. Review
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

9 authors at 4 institutions in 1 country.

José SerenoLaboratory of Pharmacology & Experimental Therapeutics, IBILI, Faculty of Medicine, University of Coimbra, Sub-Unit 1 (Pólo III), 3000-548 Coimbra, Portugal ; Institute for Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, 3000-548 Coimbra, Portugal.
Sara NunesLaboratory of Pharmacology & Experimental Therapeutics, IBILI, Faculty of Medicine, University of Coimbra, Sub-Unit 1 (Pólo III), 3000-548 Coimbra, Portugal.
Paulo Rodrigues-SantosInstitute of Immunology, Faculty of Medicine, University of Coimbra, 3004-504 Coimbra, Portugal ; Immunology and Oncology Laboratory, Center for Neurosciences and Cell Biology, 3004-504 Coimbra, Portugal.
Helena ValaESAV, Polytechnic Institute of Viseu, 3504-510 Viseu, Portugal ; Educational, Technologies and Health Study Center, Polytechnic Institute of Viseu, 3504-510 Viseu, Portugal.ORCID 0000-0001-6829-4867
Petronila Rocha-PereiraResearch Centre for Health Sciences, Beira Interior University, 6201-506 Covilhã, Portugal.
João FernandesLaboratory of Pharmacology & Experimental Therapeutics, IBILI, Faculty of Medicine, University of Coimbra, Sub-Unit 1 (Pólo III), 3000-548 Coimbra, Portugal ; Biochemistry Department, Pharmacy Faculty, Porto University, 4050-313 Porto, Portugal.
Alice Santos-SilvaBiochemistry Department, Pharmacy Faculty, Porto University, 4050-313 Porto, Portugal ; Institute for Molecular and Cellular Biology, Porto University, 4150-180 Porto, Portugal.ORCID 0000-0002-2565-3169
Frederico TeixeiraLaboratory of Pharmacology & Experimental Therapeutics, IBILI, Faculty of Medicine, University of Coimbra, Sub-Unit 1 (Pólo III), 3000-548 Coimbra, Portugal.
Flávio ReisLaboratory of Pharmacology & Experimental Therapeutics, IBILI, Faculty of Medicine, University of Coimbra, Sub-Unit 1 (Pólo III), 3000-548 Coimbra, Portugal.
University of Coimbra · PTUniversidade do Porto · PTPolytechnic Institute of Viseu · PTUniversity of Beira Interior · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protocols of conversion from cyclosporin A (CsA) to sirolimus (SRL) have been widely used in immunotherapy after transplantation to prevent CsA-induced nephropathy, but the molecular mechanisms underlying these protocols remain nuclear. This study aimed to identify the molecular pathways and putative biomarkers of CsA-to-SRL conversion in a rat model. Four animal groups (n = 6) were tested during 9 weeks: control, CsA, SRL, and conversion (CsA for 3 weeks followed by SRL for 6 weeks). Classical and emergent serum, urinary, and kidney tissue (gene and protein expression) markers were assessed. Renal lesions were analyzed in hematoxylin and eosin, periodic acid-Schiff, and Masson's trichrome stains. SRL-treated rats presented proteinuria and NGAL (serum and urinary) as the best markers of renal impairment. Short CsA treatment presented slight or even absent kidney lesions and TGF-β, NF- κβ, mTOR, PCNA, TP53, KIM-1, and CTGF as relevant gene and protein changes. Prolonged CsA exposure aggravated renal damage, without clear changes on the traditional markers, but with changes in serums TGF- β and IL-7, TBARs clearance, and kidney TGF-β and mTOR. Conversion to SRL prevented CsA-induced renal damage evolution (absent/mild grade lesions), while NGAL (serum versus urine) seems to be a feasible biomarker of CsA replacement to SRL.

Indexed as

AnimalsBiomarkersCell ProliferationCollagenCyclosporineGene Expression RegulationImmunohistochemistryInflammationKidneyKidney DiseasesMaleNeovascularization, PhysiologicProteinsRats, WistarRNA, MessengerSirolimusBiomarkersCollagenCyclosporineProteinsRNA, MessengerSirolimus

Identifiers

PMID24971338
PMCPMC4055143
OpenAlexW2076556375

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.