Evidence map›Paper›PMID 27000565›Full record

ArticleBMC bioinformatics2016

Common molecular mechanism of the hepatic lesion and the cardiac parasympathetic regulation in chronic hepatitis C infection: a critical role for the muscarinic receptor type 3.

Sanja Glišić, David P Cavanaugh, Krishnan K Chittur, Milan Sencanski, Vladimir Perovic, Tijana Bojić

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 7 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

6 authors at 3 institutions in 2 countries.

Sanja GlišićInstitute of Nuclear Sciences Vinča, University of Belgrade, Center for Multidisciplinary Research, PO Box 522, Belgrade, Serbia.
David P CavanaughBenchmark Electronics, Bradford Dr., Huntsville, AL, 35805, USA.
Krishnan K ChitturChemical and Materials Engineering, University of Alabama Huntsville, Huntsville, AL, 35899, USA.
Milan SencanskiInstitute of Nuclear Sciences Vinča, University of Belgrade, Center for Multidisciplinary Research, PO Box 522, Belgrade, Serbia.
Vladimir PerovicInstitute of Nuclear Sciences Vinča, University of Belgrade, Center for Multidisciplinary Research, PO Box 522, Belgrade, Serbia.
Tijana BojićInstitute of Nuclear Sciences Vinča, University of Belgrade, Laboratory of Radiobiology and Molecular Genetics, PO Box 522, 11000, Belgrade, Serbia. tijanabojic@vinca.rs.
University of Belgrade · RSBenchmark Research (United States) · USUniversity of Alabama in Huntsville · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe pathophysiological overlapping between Sjorgen's Syndrome (SS) and HCV, presence of anti- muscarinic receptor type 3 (M3R) antibodies in SS, the role that M3R plays in the regulation of the heart rate, has led to the assumption that cardiovagal dysfunction in HCV patients is caused by anti-M3R antibodies elicited by HCV proteins or by their direct interaction with M3R.

resultsTo identify HCV protein which possibly is crossreactive with M3R or which binds to this receptor, we performed the Informational Spectrum Method (ISM) analysis of the HCV proteome. This analysis revealed that NS5A protein represents the most probable interactor of M3R or that this viral protein could elicit antibodies which modulate function of this receptor. Further detailed structure/function analysis of NS5A and M3R performed by the ISM method extended with other Digital Signal processing (DSP) approaches revealed domains of these proteins which participate in their crossreactivity or in their direct interaction, representing promising diagnostic and therapeutic targets.

conclusionsApplication of the ISM with other compatible bioinformatics methods offers new perspectives for identifying diagnostic and therapeutic targets for complicated forms of HCV and other viral infections. We show how the electron-ion interaction potential (EIIP) amino-acid scale used in the ISM combined with a robust, high performance hydrophobicity scale can provide new insights for understanding protein structure/function and protein-protein interactions.

Indexed as

AlgorithmsAmino AcidsAutoantibodiesBinding SitesHepacivirusHepatitis C, ChronicHumansHydrophobic and Hydrophilic InteractionsMaleMolecular Docking SimulationProtein BindingProtein Structure, TertiaryReceptor, Muscarinic M3RNA-Dependent RNA PolymeraseViral Nonstructural ProteinsAmino AcidsAutoantibodiesNS-5 protein, hepatitis C virusReceptor, Muscarinic M3RNA-Dependent RNA PolymeraseViral Nonstructural ProteinsAutonomic nervous systemCross-reactivityEIIPHepatitis CHydrophobicityInformational Spectrum MethodMuscarinic receptor type 3

Identifiers

PMID27000565
PMCPMC4802633
OpenAlexW2308926670

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.