Evidence map›Paper›PMID 23118466›Full record

ArticleMolecular & cellular proteomics : MCP2013

Proteomic analysis of protease resistant proteins in the diabetic rat kidney.

Sneha B Bansode, Ashok D Chougale, Rakesh S Joshi, Ashok P Giri, Subhash L Bodhankar, Abhay M Harsulkar, Mahesh J Kulkarni

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.7field-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

18 citing papers in PubMed, 35 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

7 authors at 2 institutions in 1 country.

Sneha B BansodeProteomics Facility, Division of Biochemical Sciences, CSIR-National Chemical Laboratory, Pune-411008, India.
Ashok D Chougale
Rakesh S Joshi
Ashok P Giri
Subhash L Bodhankar
Abhay M Harsulkar
Mahesh J Kulkarni
National Chemical Laboratory · INBharati Vidyapeeth Deemed University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glycation induced protein aggregation has been implicated in the development of diabetic complications and neurodegenerative diseases. These aggregates are known to be resistant to proteolytic digestion. Here we report the identification of protease resistant proteins from the streptozotocin induced diabetic rat kidney, which included enzymes in glucose metabolism and stress response proteins. These protease resistant proteins were characterized to be advanced glycation end products modified and ubiquitinated by immunological and mass spectrometry analysis. Further, diabetic rat kidney exhibited significantly impaired proteasomal activity. The functional analysis of identified physiologically important enzymes showed that their activity was reduced in diabetic condition. Loss of functional activity of these proteins was compensated by enhanced gene expression. Aggregation prone regions were predicted by in silico analysis and compared with advanced glycation end products modification sites. These findings suggested that the accumulation of protein aggregates is an inevitable consequence of impaired proteasomal activity and protease resistance due to advanced glycation end products modification.

Indexed as

AnimalsDiabetes Mellitus, ExperimentalGlucoseGlycation End Products, AdvancedKidneyMalePeptide HydrolasesProteasome Endopeptidase ComplexProteomeProteomicsRatsRats, WistarStreptozocinStress, PhysiologicalGlucoseGlycation End Products, AdvancedPeptide HydrolasesProteasome Endopeptidase ComplexProteomeStreptozocin

Identifiers

PMID23118466
PMCPMC3536903
OpenAlexW2101923545

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.