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Khan M, Khan S, Lohani M, Ahmed MM, Sharma D, Ishrat R, Ahmad S, Sherwani S, Haque S, Bhagwath SS. Assessment of key regulatory genes and identification of possible drug targets for Leprosy (Hansen's disease) using network-based approach. Biotechnol Genet Eng Rev 2023:1-20. [PMID: 36696368 DOI: 10.1080/02648725.2023.2168509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 01/10/2023] [Indexed: 01/26/2023]
Abstract
Leprosy is a major health concern and continues to be a source of fear and stigma among people worldwide. Despite remarkable achievements in the treatment, understanding of pathogenesis and transmission, epidemiology of leprosy still remains inadequate. The prolonged incubation period, slow rates of occurrence in those exposed and deceptive clinical presentation pose challenges to develop reliable strategies to stop transmission. Hence, there is a need for improved diagnostics and therapies to prevent mortality caused by leprosy. The objectives of this study are to identify significant genes from protein-protein interactions (PPIs) network of leprosy and to choose the most effective therapeutic targets. Fifty genes related with leprosy were discovered by literature mining. These genes were used to construct a primary network. Leading Eigen Vector method was used to break down the primary network into various sub-networks or communities. It was found that the primary network was divided into many sub-networks at the 6 levels. Seed genes were traced at each level till key regulatory genes were identified. Three seed genes, namely, GNAI3, NOTCH1, and HIF1A, were able to make their way till the final motif stage. These genes along with their interacting partners were considered key regulators of the leprosy network. This study provides leprosy-associated key genes which can lead to improved diagnosis and therapies for leprosy patients.
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Affiliation(s)
- Mahvish Khan
- Department of Biology, College of Science, University of Ha'il, Ha'il, Saudi Arabia
| | - Saif Khan
- Department of Basic Dental and Medical Sciences, College of Dentistry, Ha'il University, Ha'il, Saudi Arabia
| | - Mohtashim Lohani
- Department of Emergency Medical Services, College of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia
| | - Mohd Murshad Ahmed
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India
| | - Diksha Sharma
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India
| | - Romana Ishrat
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India
| | - Saheem Ahmad
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, University of Ha'il, Ha'il, Saudi Arabia
| | - Subuhi Sherwani
- Department of Biology, College of Science, University of Ha'il, Ha'il, Saudi Arabia
| | - Shafiul Haque
- Research and Scientific Studies Unit, College of Nursing & Allied Health Sciences, Jazan University, Jazan, Saudi Arabia
- Gilbert and Rose-Marie Chagoury School of Medicine, Lebanese American University, Beirut, Lebanon
- Centre of Medical and Bio-Allied Health Sciences Research, Ajman University, Ajman, United Arab Emirates
| | - Sundeep S Bhagwath
- Department of Basic Dental and Medical Sciences, College of Dentistry, Ha'il University, Ha'il, Saudi Arabia
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Molecular analysis of CTLA4 gene in patients with Behçet's disease from an Iranian Northwest Azeri population. GENE REPORTS 2020. [DOI: 10.1016/j.genrep.2020.100612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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