Evidence map›Paper›PMID 27855634›Full record

ArticleBMC genomics2016

Identification of novel targets of diabetic nephropathy and PEDF peptide treatment using RNA-seq.

Ana Rubin, Anna C Salzberg, Yuka Imamura, Anzor Grivitishvilli, Joyce Tombran-Tink

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.5field-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

21 citing papers in PubMed, 32 citations in OpenAlex.

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  7. Glucose Variability: How Does It Work?International journal of molecular sciences · 2021
    Review
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  10. Novel insights into the disease transcriptome of human diabetic glomeruli and tubulointerstitium.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2020
    Article
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  12. 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

5 authors at 1 institution in 1 country.

Ana RubinDepartment of Neural and Behavioral Sciences, Penn State College of Medicine, Hershey, USA.
Anna C SalzbergFunctional Genome Sciences, Penn State College of Medicine, Hershey, USA.
Yuka ImamuraFunctional Genome Sciences, Penn State College of Medicine, Hershey, USA.
Anzor GrivitishvilliDepartment of Neural and Behavioral Sciences, Penn State College of Medicine, Hershey, USA.
Joyce Tombran-TinkDepartment of Neural and Behavioral Sciences, Penn State College of Medicine, Hershey, USA. jxt57@psu.edu.
Penn State Milton S. Hershey Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetic nephropathy (DN) is a major complication of type1 and type 2 diabetes. Understanding how diabetes regulate transcriptome dynamics in DN is important for understanding the biology of the disease and for guiding development of new treatments.

resultsWe analyzed the kidney transcriptome of a DN mouse model, D2.B6-Ins2

conclusionsUnique biomarkers and canonical pathways identified in this study may hold the key to understanding mechanisms of DN pathobiology with value for clinical translation. Our data suggest that mitochondrial dysfunction, genotoxicity and oxidative stress are principal events in DN and that P78-PEDF holds promise for its management.

Indexed as

TranscriptomeAnimalsCluster AnalysisDiabetes Mellitus, ExperimentalDiabetic NephropathiesDisease Models, AnimalDrug DiscoveryEye ProteinsGene Expression ProfilingGene Expression RegulationMaleMiceMice, TransgenicMicroRNAsNerve Growth FactorsPeptidesEye ProteinsMicroRNAsNerve Growth FactorsPeptidesPigment Epithelium-Derived FactorSerpinsCanonical pathwaysDiabetic nephropathyEpt1Global transcriptome changesKdm4bMamdc4miRNANhej1PEDF P78 peptideRNAseq

Identifiers

PMID27855634
PMCPMC5114726
OpenAlexW2549565264

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.