Evidence map›Paper›PMID 26310627›Full record

ArticleScientific reports2015

A Rich-Club Organization in Brain Ischemia Protein Interaction Network.

Ali Alawieh, Zahraa Sabra, Mohammed Sabra, Stephen Tomlinson, Fadi A Zaraket

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 13 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

5 authors at 2 institutions in 2 countries.

Ali AlawiehDepartment of Neurosciences, Medical University of South Carolina, Charleston, SC 29425.
Zahraa SabraDepartment of Neurosciences, Medical University of South Carolina, Charleston, SC 29425.
Mohammed SabraDepartment of Electrical and Computer Engineering, American University of Beirut, Beirut, Lebanon.
Stephen TomlinsonDepartment of Microbiology and Immunology, Medical University of South Carolina, Charleston, SC 29425.
Fadi A ZaraketDepartment of Electrical and Computer Engineering, American University of Beirut, Beirut, Lebanon.
Medical University of South Carolina · USAmerican University of Beirut · LB

Funding

Novel Therapies to Improve Functional Recovery After StrokeI01RX001141 · VA · RALPH H JOHNSON VA MEDICAL CENTER · PI TOMLINSON, STEPHEN · 2014 to 2022
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RRD VA I01 RX001141
6 · The paper itself

Abstract

Ischemic stroke involves multiple pathophysiological mechanisms with complex interactions. Efforts to decipher those mechanisms and understand the evolution of cerebral injury is key for developing successful interventions. In an innovative approach, we use literature mining, natural language processing and systems biology tools to construct, annotate and curate a brain ischemia interactome. The curated interactome includes proteins that are deregulated after cerebral ischemia in human and experimental stroke. Network analysis of the interactome revealed a rich-club organization indicating the presence of a densely interconnected hub structure of prominent contributors to disease pathogenesis. Functional annotation of the interactome uncovered prominent pathways and highlighted the critical role of the complement and coagulation cascade in the initiation and amplification of injury starting by activation of the rich-club. We performed an in-silico screen for putative interventions that have pleiotropic effects on rich-club components and we identified estrogen as a prominent candidate. Our findings show that complex network analysis of disease related interactomes may lead to a better understanding of pathogenic mechanisms and provide cost-effective and mechanism-based discovery of candidate therapeutics.

Indexed as

Protein Interaction MapsAlgorithmsBrain IschemiaCluster AnalysisData CurationEstrogensHumansMolecular Sequence AnnotationSignal TransductionStrokeEstrogens

Identifiers

PMID26310627
PMCPMC4550934
OpenAlexW2304709525

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.