Evidence map›Paper›PMID 19997558›Full record

ArticlePloS one2009

Expression-based network biology identifies alteration in key regulatory pathways of type 2 diabetes and associated risk/complications.

Urmi Sengupta, Sanchaita Ukil, Nevenka Dimitrova, Shipra Agrawal

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

33 citing papers in PubMed, 76 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. International journal of molecular and cellular medicine · 2023
    Article
  5. SUMOylation targeting mitophagy in cardiovascular diseases.Journal of molecular medicine (Berlin, Germany) · 2022
    Review
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  15. TGF-β/SMAD Pathway and Its Regulation in Hepatic Fibrosis.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2016
    Review
  16. 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

4 authors at 2 institutions in 2 countries.

Urmi SenguptaInstitute of Bioinformatics and Applied Biotechnology, Bangalore, Karnataka, India.
Sanchaita Ukil
Nevenka Dimitrova
Shipra Agrawal
Institute of Bioinformatics and Applied Biotechnology · INPhilips (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes mellitus (T2D) is a multifactorial and genetically heterogeneous disease which leads to impaired glucose homeostasis and insulin resistance. The advanced form of disease causes acute cardiovascular, renal, neurological and microvascular complications. Thus there is a constant need to discover new and efficient treatment against the disease by seeking to uncover various novel alternate signalling mechanisms that can lead to diabetes and its associated complications. The present study allows detection of molecular targets by unravelling their role in altered biological pathways during diabetes and its associated risk factors and complications. We have used an integrated functional networks concept by merging co-expression network and interaction network to detect the transcriptionally altered pathways and regulations involved in the disease. Our analysis reports four novel significant networks which could lead to the development of diabetes and other associated dysfunctions. (a) The first network illustrates the up regulation of TGFBRII facilitating oxidative stress and causing the expression of early transcription genes via MAPK pathway leading to cardiovascular and kidney related complications. (b) The second network demonstrates novel interactions between GAPDH and inflammatory and proliferation candidate genes i.e., SUMO4 and EGFR indicating a new link between obesity and diabetes. (c) The third network portrays unique interactions PTPN1 with EGFR and CAV1 which could lead to an impaired vascular function in diabetic nephropathy condition. (d) Lastly, from our fourth network we have inferred that the interaction of beta-catenin with CDH5 and TGFBR1 through Smad molecules could contribute to endothelial dysfunction. A probability of emergence of kidney complication might be suggested in T2D condition. An experimental investigation on this aspect may further provide more decisive observation in drug target identification and better understanding of the pathophysiology of T2D and its complications.

Indexed as

Genetic Predisposition to DiseaseAnimalsDiabetes Mellitus, Type 2Diabetic AngiopathiesDiabetic NephropathiesErbB ReceptorsFatty AcidsGene Regulatory NetworksGlyceraldehyde-3-Phosphate Dehydrogenase (Phosphorylating)HumansInsulinMiceMitochondriaOxidative StressProtein BindingProtein Serine-Threonine KinasesErbB ReceptorsFatty AcidsGlyceraldehyde-3-Phosphate Dehydrogenase (Phosphorylating)InsulinProtein Serine-Threonine KinasesProto-Oncogene Proteins c-fosReactive Oxygen SpeciesReceptors, Transforming Growth Factor betaReceptor, Transforming Growth Factor-beta Type IISmall Ubiquitin-Related Modifier ProteinsSUMO4 protein, human

Identifiers

PMID19997558
PMCPMC2785475
OpenAlexW2056116819

What OpenQuestion holds

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LicenceCC BY
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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.