Evidence map›Paper›PMID 29196624›Full record

ArticleScientific reports2017

RNA-seq of serial kidney biopsies obtained during progression of chronic kidney disease from dogs with X-linked hereditary nephropathy.

Candice P Chu, Jessica A Hokamp, Rachel E Cianciolo, Alan R Dabney, Candice Brinkmeyer-Langford, George E Lees, Mary B Nabity

Erratum issuedOpen access · goldAbstract readComparative Study
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

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  12. Infectious Disease Risk in Dialysis Patients: A Transdisciplinary Approach.Canadian journal of kidney health and disease · 2019
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Candice P ChuDepartment of Veterinary Pathobiology, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX, USA.ORCID http://orcid.org/0000-0001-8543-7233
Jessica A HokampDepartment of Veterinary Pathobiology, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX, USA.
Rachel E CiancioloDepartment of Veterinary Biosciences, College of Veterinary Medicine, The Ohio State University, Columbus, OH, USA.
Alan R DabneyDepartment of Statistics, College of Science, Texas A&M University, College Station, TX, USA.
Candice Brinkmeyer-LangfordDepartment of Veterinary Integrative Biomedical Sciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX, USA.ORCID http://orcid.org/0000-0001-6423-8585
George E LeesDepartment of Small Animal Clinical Sciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX, USA.
Mary B NabityDepartment of Veterinary Pathobiology, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX, USA. mnabity@cvm.tamu.edu.
Texas A&M University · USThe Ohio State University · US

Funding

Gene Transfer Therapy for Alport SyndromeR01DK064273 · NIDDK · TEXAS A&M UNIVERSITY SYSTEM · PI LEES, GEORGE E · 2003 to 2007
$2.8M
GLOMERULAR PERMSELECTIVITY IN ALPORT SYNDROMER01DK057676 · NIDDK · UNIVERSITY OF MINNESOTA TWIN CITIES · PI KASHTAN, CLIFFORD E · 2000 to 2004
$1.5M
NIDDK NIH HHS R01 DK057676NIDDK NIH HHS R01 DK064273
6 · The paper itself

Abstract

Dogs with X-linked hereditary nephropathy (XLHN) have a glomerular basement membrane defect that leads to progressive juvenile-onset renal failure. Their disease is analogous to Alport syndrome in humans, and they also serve as a good model of progressive chronic kidney disease (CKD). However, the gene expression profile that affects progression in this disease has only been partially characterized. To help fill this gap, we used RNA sequencing to identify differentially expressed genes (DEGs), over-represented pathways, and upstream regulators that contribute to kidney disease progression. Total RNA from kidney biopsies was isolated at 3 clinical time points from 3 males with rapidly-progressing CKD, 3 males with slowly-progressing CKD, and 2 age-matched controls. We identified 70 DEGs by comparing rapid and slow groups at specific time points. Based on time course analysis, 1,947 DEGs were identified over the 3 time points revealing upregulation of inflammatory pathways: integrin signaling, T cell activation, and chemokine and cytokine signaling pathways. T cell infiltration was verified by immunohistochemistry. TGF-β1 was identified as the primary upstream regulator. These results provide new insights into the underlying molecular mechanisms of disease progression in XLHN, and the identified DEGs can be potential biomarkers and therapeutic targets translatable to all CKDs.

Indexed as

Gene Regulatory NetworksAnimalsBiopsyCase-Control StudiesDisease ProgressionDog DiseasesDogsGene Expression ProfilingGene Expression RegulationGenetic Diseases, X-LinkedMaleMolecular Sequence AnnotationNephritis, HereditaryRenal Insufficiency, ChronicSequence Analysis, RNATime Factors

Identifiers

PMID29196624
PMCPMC5711945
OpenAlexW2770552767

What OpenQuestion holds

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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.