Evidence map›Paper›PMID 25573746›Full record

ArticleMolecular & cellular proteomics : MCP2015

Tissue specific dysregulated protein subnetworks in type 2 diabetic bladder urothelium and detrusor muscle.

Sara E Tomechko, Guiming Liu, Mingfang Tao, Daniela Schlatzer, C Thomas Powell, Sanjay Gupta, Mark R Chance, Firouz Daneshgari

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

14 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
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  10. IR-61 Improves Voiding FunctionFrontiers in pharmacology · 2021
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  14. Path of translational discovery of urological complications of obesity and diabetes.American journal of physiology. Renal physiology · 2017
    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

8 authors at 2 institutions in 1 country.

Sara E TomechkoFrom the ‡Center for Proteomics and Bioinformatics.
Guiming Liu§Urology Institute, University Hospitals Case Medical Center and Department of Urology, Case Western Reserve University School of Medicine, Cleveland, Ohio, 44106 guiming.liu@case.edu.
Mingfang Tao§Urology Institute, University Hospitals Case Medical Center and Department of Urology, Case Western Reserve University School of Medicine, Cleveland, Ohio, 44106.
Daniela SchlatzerFrom the ‡Center for Proteomics and Bioinformatics.
C Thomas Powell§Urology Institute, University Hospitals Case Medical Center and Department of Urology, Case Western Reserve University School of Medicine, Cleveland, Ohio, 44106.
Sanjay Gupta§Urology Institute, University Hospitals Case Medical Center and Department of Urology, Case Western Reserve University School of Medicine, Cleveland, Ohio, 44106.
Mark R ChanceFrom the ‡Center for Proteomics and Bioinformatics.
Firouz Daneshgari§Urology Institute, University Hospitals Case Medical Center and Department of Urology, Case Western Reserve University School of Medicine, Cleveland, Ohio, 44106.
University Hospitals Case Medical Center · USCase Western Reserve University · US

Funding

Mechanism of Type I and II Caused Diabetic Bladder DysfunctionR01DK083733 · NIDDK · CASE WESTERN RESERVE UNIVERSITY · PI DANESHGARI, FIROUZ · 2012 to 2015
$1.4M
Urological Complications of Obesity and DiabetesP20DK090871 · NIDDK · CASE WESTERN RESERVE UNIVERSITY · PI DANESHGARI, FIROUZ · 2010 to 2011
$556k
NIDDK NIH HHS P20 DK09087NIDDK NIH HHS P20 DK090871NIDDK NIH HHS R01 DK083733
6 · The paper itself

Abstract

Diabetes mellitus is well known to cause bladder dysfunction; however, the molecular mechanisms governing this process and the effects on individual tissue elements within the bladder are poorly understood, particularly in type 2 diabetes. A shotgun proteomics approach was applied to identify proteins differentially expressed between type 2 diabetic (TallyHo) and control (SWR/J) mice in the bladder smooth muscle and urothelium, separately. We were able to identify 1760 nonredundant proteins from the detrusor smooth muscle and 3169 nonredundant proteins from urothelium. Pathway and network analysis of significantly dysregulated proteins was conducted to investigate the molecular processes associated with diabetes. This pinpointed ERK1/2 signaling as a key regulatory node in the diabetes-induced pathophysiology for both tissue types. The detrusor muscle samples showed diabetes-induced increased tissue remodeling-type events such as Actin Cytoskeleton Signaling and Signaling by Rho Family GTPases. The diabetic urothelium samples exhibited oxidative stress responses, as seen in the suppression of protein expression for key players in the NRF2-Mediated Oxidative Stress Response pathway. These results suggest that diabetes induced elevated inflammatory responses, oxidative stress, and tissue remodeling are involved in the development of tissue specific diabetic bladder dysfunctions. Validation of signaling dysregulation as a function of diabetes was performed using Western blotting. These data illustrated changes in ERK1/2 phosphorylation as a function of diabetes, with significant decreases in diabetes-associated phosphorylation in urothelium, but the opposite effect in detrusor muscle. These data highlight the importance of understanding tissue specific effects of disease process in understanding pathophysiology in complex disease and pave the way for future studies to better understand important molecular targets in reversing bladder dysfunction.

Indexed as

AnimalsDiabetes Mellitus, ExperimentalGene Expression RegulationGene Regulatory NetworksMaleMiceMuscle, SmoothOrgan SpecificityProteomeProteomicsSignal TransductionUrinary BladderUrotheliumProteome

Identifiers

PMID25573746
PMCPMC4349983
OpenAlexW2101563809

What OpenQuestion holds

Textmetadata
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.