Evidence map›Paper›PMID 28746409›Full record

ArticlePloS one2017

High resolution molecular and histological analysis of renal disease progression in ZSF1 fa/faCP rats, a model of type 2 diabetic nephropathy.

Ken Dower, Shanrong Zhao, Franklin J Schlerman, Leigh Savary, Gabriela Campanholle, Bryce G Johnson, Li Xi, Vuong Nguyen, Yutian Zhan, Matthew P Lech and 9 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 23 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

19 authors at 2 institutions in 2 countries.

Ken DowerInflammation and Immunology, Pfizer Worldwide Research and Development, Cambridge, Massachusetts, United States of America.ORCID http://orcid.org/0000-0001-8596-4519
Shanrong ZhaoClinical Bioinformatics, Early Clinical Development, Pfizer Worldwide Research and Development, Cambridge, Massachusetts, United States of America.
Franklin J SchlermanInflammation and Immunology, Pfizer Worldwide Research and Development, Cambridge, Massachusetts, United States of America.
Leigh SavaryDrug Safety, Pfizer Worldwide Research and Development, Andover, Massachusetts, United States of America.
Gabriela CampanholleInflammation and Immunology, Pfizer Worldwide Research and Development, Cambridge, Massachusetts, United States of America.
Bryce G JohnsonInflammation and Immunology, Pfizer Worldwide Research and Development, Cambridge, Massachusetts, United States of America.
Li XiClinical Bioinformatics, Early Clinical Development, Pfizer Worldwide Research and Development, Cambridge, Massachusetts, United States of America.
Vuong NguyenDrug Safety, Pfizer Worldwide Research and Development, Andover, Massachusetts, United States of America.
Yutian ZhanDrug Safety, Pfizer Worldwide Research and Development, Andover, Massachusetts, United States of America.
Matthew P LechInflammation and Immunology, Pfizer Worldwide Research and Development, Cambridge, Massachusetts, United States of America.
Ju WangInflammation and Immunology, Pfizer Worldwide Research and Development, Cambridge, Massachusetts, United States of America.
Qing NieDrug Safety, Pfizer Worldwide Research and Development, Andover, Massachusetts, United States of America.
Morten A KarsdalNordic Bioscience A/S, Herlev, Denmark.
Federica GenoveseNordic Bioscience A/S, Herlev, Denmark.
Germaine BoucherDrug Safety, Pfizer Worldwide Research and Development, Groton, Connecticut, United States of America.
Thomas P BrownDrug Safety, Pfizer Worldwide Research and Development, Groton, Connecticut, United States of America.
Baohong ZhangClinical Bioinformatics, Early Clinical Development, Pfizer Worldwide Research and Development, Cambridge, Massachusetts, United States of America.
Bruce L HomerDrug Safety, Pfizer Worldwide Research and Development, Andover, Massachusetts, United States of America.
Robert V MartinezInflammation and Immunology, Pfizer Worldwide Research and Development, Cambridge, Massachusetts, United States of America.
Pfizer (United States) · USNordic Bioscience (Denmark) · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ZSF1 rats exhibit spontaneous nephropathy secondary to obesity, hypertension, and diabetes, and have gained interest as a model system with potentially high translational value to progressive human disease. To thoroughly characterize this model, and to better understand how closely it recapitulates human disease, we performed a high resolution longitudinal analysis of renal disease progression in ZSF1 rats spanning from early disease to end stage renal disease. Analyses included metabolic endpoints, renal histology and ultrastructure, evaluation of a urinary biomarker of fibrosis, and transcriptome analysis of glomerular-enriched tissue over the course of disease. Our findings support the translational value of the ZSF1 rat model, and are provided here to assist researchers in the determination of the model's suitability for testing a particular mechanism of interest, the design of therapeutic intervention studies, and the identification of new targets and biomarkers for type 2 diabetic nephropathy.

Indexed as

AnimalsCluster AnalysisCollagenDiabetes Mellitus, Type 2Diabetic NephropathiesDisease Models, AnimalDisease ProgressionGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansImmunohistochemistryKidneyKidney Failure, ChronicKidney GlomerulusMaleMicroscopy, Electron, TransmissionCollagen

Identifiers

PMID28746409
PMCPMC5529026
OpenAlexW2739025552

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.