Evidence map›Paper›PMID 41393400›Full record

ArticleBioinformation2025

MALAT1 and HIST1H2BC as connecting diagnostic biomarkers in Ebola and its overlapping disease: An integrative approach.

Shaheen Hayat, Khalid Raza, Mohd Murshad Ahmad, Rafat Ali, Naaila Tamkeen, Akhtar Veg, Najma Khan, Faria Saleem, Romana Ishrat

Abstract read
In one paragraph

Article in Bioinformation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Shaheen HayatCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India.
Khalid RazaDepartment of Computer Science, Jamia Millia Islamia, New Delhi, India.
Mohd Murshad AhmadCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India.
Rafat AliDepartment of Biosciences, Jamia Millia Islamia, New Delhi, India.
Naaila TamkeenDepartment of Biosciences, Jamia Millia Islamia, New Delhi, India.
Akhtar VegCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India.
Najma KhanCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India.
Faria SaleemCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India.
Romana IshratCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnostic biomarker for Ebola Virus Disease (EVD) and its overlapping diseases, which include COVID-19, monkey pox, AIDS and uveitis, is of interest. The gene-disease association network was built by using human microarray datasets from the GEO database. The comparison based on Jaccard's similarity index showed 27 intersected differentially expressed genes (DEGs), with AIDS having the highest genomic association with EVD. Gene-disease interaction analysis revealed Metastasis-associated lung adenocarcinoma transcript-1 (MALAT1) and histone cluster 1, H2bc (HIST1H2BC) as the most relevant diagnostic biomarkers. Thus, the dg IDB database provided potential for drug repurposing, targeted therapy and broad-spectrum antiviral applications.

Indexed as

connecting diagnostic biomarkerdifferentially expressed gensEbola virus diseasenetwork biologyoverlapping disease

Identifiers

PMID41393400
PMCPMC12697522

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.