Evidence map›Paper›PMID 33447134›Full record

ArticleThe Malaysian journal of medical sciences : MJMS2020

Differentially Expressed Genes and Their Clinical Significance in Ischaemic Stroke: An In-Silico Study.

Sandeep Appunni, Muni Rubens, Venkataraghavan Ramamoorthy, Hina Sharma, Anjani Kumar Singh, Vishnu Swarup, Himanshu Narayan Singh

Open access · diamondAbstract read
In one paragraph

Article in The Malaysian journal of medical sciences : MJMS, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

7 authors at 6 institutions in 3 countries.

Sandeep AppunniGovernment Medical College, Kozhikode, Kerala, India.
Muni RubensMiami Cancer Institute, Florida, USA.
Venkataraghavan RamamoorthyUniversity of Central Missouri, USA.
Hina SharmaNational Network of Depression Centers India Foundation, New Delhi, India.
Anjani Kumar SinghAtma Ram Sanatan Dharma College, University of Delhi, New Delhi, India.
Vishnu SwarupAll India Institute of Medical Sciences, New Delhi, India.
Himanshu Narayan SinghAix Marseille University, Marseille, France.
Aix-Marseille Université · FRAll India Institute of Medical Sciences · INGovernment Medical College · INMiami Heart Research Institute · USUniversity of Central Missouri · USUniversity of Delhi · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIschaemic stroke (IS), a multifactorial neurological disorder, is mediated by interplay between genes and the environment and, thus, blood-based IS biomarkers are of significant clinical value. Therefore, this study aimed to find global differentially expressed genes (DEGs) in-silico, to identify key enriched genes via gene set enrichment analysis (GSEA) and to determine the clinical significance of these genes in IS.

methodsMicroarray expression dataset GSE22255 was retrieved from the Gene Expression Omnibus (GEO) database. It includes messenger ribonucleic acid (mRNA) expression data for the peripheral blood mononuclear cells of 20 controls and 20 IS patients. The bioconductor-package 'affy' was used to calculate expression and a pairwise

resultsGSEA analysis revealed 21 genes to be significantly plausible gene markers, enriched in multiple pathways among all the DEGs (

conclusionThe identified genes are either associated with the pathophysiology of IS or they affect post-IS neuronal regeneration, thereby influencing clinical outcome. These genes should, therefore, be evaluated for their utility as suitable markers for predicting IS in clinical scenarios.

Indexed as

differential mRNA expressiongene ontologygene set enrichment analysisGPM6Bischaemic strokeJunD

Identifiers

PMID33447134
PMCPMC7785266
OpenAlexW3115728678

What OpenQuestion holds

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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.