Title

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

Authors

Shaheen Hayat¹, Khalid Raza*^,2, Mohd Murshad Ahmad¹, Rafat Ali³, Naaila Tamkeen³, Akhtar Veg¹, Najma Khan¹, Faria Saleem¹ & Romana Ishrat*^,1

Affiliation

¹Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India; ²Department of Computer Science, Jamia Millia Islamia, New Delhi, India; ³Department of Biosciences, Jamia Millia Islamia, New Delhi, India; *Corresponding authors

Email

Shaheen Hayat - E-mail: shaheen2008755@st.jmi.ac.in
Khalid Raza - E-mail: kraza@jmi.ac.in
Mohd Murshad Ahmad - E-mail: mohdmurshad.ahmed@einsteinmed.edu
Rafat Ali - E-mail: rafat144798@st.jmi.ac.in
Naaila Tamkeen - E-mail: naaila179739@st.jmi.ac.in
Akhtar Veg - E-mail: akhtar2206374@st.jmi.ac.in
Najma Khan - E-mail: najma2300912@st.jmi.ac.in
Faria Saleem - E-mail: faria2101901@st.jmi.ac.in
Romana Ishrat - E-mail: rishrat@jmi.ac.in

Article Type

Research Article

Date

Received August 1, 2025; Revised August 31, 2025; Accepted August 31, 2025, Published August 31, 2025

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.

Keywords

Ebola virus disease; connecting diagnostic biomarker; differentially expressed gens; overlapping disease; network biology.

Citation

Hayat et al. Bioinformation 21(8): 2878-2890 (2025)

Edited by

P Kangueane

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.