1
|
Khan S, Punnoose K, Bishara NZA, Ali R, Khan S, Ahmad S, Marouf HAA, Mirza S, Ishrat R, Haque S. Identification of potential inhibitor molecule against MabA protein of Mycobacterium leprae by integrated in silico approach. J Biomol Struct Dyn 2023; 41:11231-11246. [PMID: 36661253 DOI: 10.1080/07391102.2022.2160818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 12/15/2022] [Indexed: 01/21/2023]
Abstract
Leprosy is one of the chronic diseases with which humanity has struggled globally for millennia. The potent anti-leprosy medications rifampicin, clofazimine and dapsone, among others, are used to treat leprosy. Nevertheless, even in regions of the world where these drugs have been successfully implemented, resistance continues to be observed. Due to the problems with the current treatments, this disease should be fought at every level of society with new drugs. The purpose of this research was to identify natural candidates with the ability to inhibit MabA (gene-fabG1) with fewer negative effects. The work was accomplished through molecular docking, followed by a dynamic investigation of protein-ligand, which play a significant role in the design of pharmaceuticals. After modelling the protein structure with MODELLER 9.21v, AutoDock Vina was used to perform molecular docking with 13 3 D anti-leprosy medicines and a zinc library to determine the optimal protein-ligand interaction. In addition, the docking result was filtered based on binding energy, ADMET characteristics, PASS analysis and the most crucial binding residues. The ZINC08101051 chemical compound was prioritized for further study. Using an all-atom 100 ns MD simulation, the binding pattern and conformational changes in protein upon ligand binding were studied. Recommendation for subsequent validation based on deviation, fluctuation, gyration and hydrogen bond analysis, followed by main component and free energy landscape.Communicated by Ramaswamy H. Sarma.
Collapse
Affiliation(s)
- Saif Khan
- Department of Basic Dental and Medical Sciences, College of Dentistry, Ha'il University, Ha'il, Saudi Arabia
| | - Kurian Punnoose
- Department of Oral and Maxillofacial surgery, College of Dentistry, Ha'il University, Ha'il, Saudi Arabia
| | - Nashwa Zaki Ali Bishara
- Department of Preventive Dental Sciences, College of Dentistry, Ha'il University, Ha'il, Saudi Arabia
| | - Rafat Ali
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia (Central University), New Delhi, India
- Department of Biosciences, Jamia Millia Islamia, New Delhi, India
| | - Shahira Khan
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia (Central University), New Delhi, India
| | - Saheem Ahmad
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, University of Hail, Saudi Arabia
| | - Hussein Abdel-Aziz Marouf
- Department of Oral and Maxillofacial surgery, College of Dentistry, Ha'il University, Ha'il, Saudi Arabia
| | - Shadab Mirza
- Department of Health Services Administration, College of Dentistry, Ha'il University, Ha'il, Saudi Arabia
| | - Romana Ishrat
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia (Central University), New Delhi, India
| | - Shafiul Haque
- Research and Scientific Studies Unit, College of Nursing & Allied Health Sciences, Jazan University, Jazan, Saudi Arabia
| |
Collapse
|
2
|
Shankar S. Cutting edge medical research. Med J Armed Forces India 2022; 78:S1-S6. [PMID: 36147437 PMCID: PMC9485854 DOI: 10.1016/j.mjafi.2022.08.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022] Open
Affiliation(s)
- Subramanian Shankar
- Consultant (Medicine & Clinical Immunology), Air Cmde AFMS (P&T), O/o DGAFMS, New Delhi, India
| |
Collapse
|
3
|
Lenz SM, Ray NA, Lema T, Collins JH, Thapa R, Girma S, Balagon M, Bobosha K, Hagge DA, Williams DL, Scollard DM, Lahiri R, Adams LB. Utility of a Mycobacterium leprae molecular viability assay for clinical leprosy: An analysis of cases from the Philippines, Ethiopia, and Nepal. FRONTIERS IN TROPICAL DISEASES 2022. [DOI: 10.3389/fitd.2022.967351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Mycobacterium leprae is a slow-growing species of mycobacteria that cannot be cultured in axenic media. This presents a number of challenges for monitoring treatment efficacy and advancing new drugs and regimens for treating leprosy. We previously developed a molecular viability assay (MVA) which measures expression of hsp18 and esxA transcripts to determine viability of M. leprae directly from infected tissue. The objective of the current study was to determine the utility of the MVA for practical use on clinical specimens. Leprosy cases from the Philippines (N = 199), Ethiopia (N = 40), and Nepal (N = 200) were diagnosed by clinical examination, slit-skin smears (SSS) from index sites, and/or histopathology. Biopsy specimens for MVA were collected from an active lesion and stored in 70% ethanol. DNA and RNA were extracted from the tissue, and M. leprae were enumerated on the DNA fraction via RLEP qPCR. Based on this count, DNased RNA was normalized to the equivalent of 3x103M. leprae per reverse transcription reaction, and hsp18 and esxA transcripts were amplified by PCR on the resulting cDNA. There was a strong correlation between RLEP enumeration on the specific biopsy specimen for MVA and the average SSS bacterial index (BI) in all three cohorts (p < 0.001). The MVA could be performed on most biopsies with an average SSS BI ≥ 2 and showed a decrease in M. leprae viability with increasing duration of leprosy multidrug therapy (R2 = 0.81, p < 0.001). The MVA also detected viable M. leprae in relapse patients where it showed significant correlation with the mouse footpad assay (p = 0.018). The MVA is a M. leprae-specific, sensitive, and relatively quick test. Clinically, the MVA would likely be most useful to monitor treatment, confirm suspected relapse cases, and determine efficacy of new leprosy drugs in clinical trials.
Collapse
|
4
|
Collins J, Lenz S, Ray N, Balagon M, Hagge D, Lahiri R, Adams L. A Sensitive and Quantitative Assay to Enumerate and Measure Mycobacterium leprae Viability in Clinical and Experimental Specimens. Curr Protoc 2022; 2:e359. [PMID: 35113486 PMCID: PMC8936146 DOI: 10.1002/cpz1.359] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Mycobacterium leprae, the etiologic agent of leprosy, cannot be cultured on artificial media. This characteristic, coupled with its long generation time, presents a number of unique challenges to studying this pathogen. One of the difficulties facing both researchers and clinicians is the absence of a rapid test to measure the viability of M. leprae in clinical or experimental specimens. The lack of such a tool limits the understanding of M. leprae immunopathogenesis and makes determining the efficacy of drug treatments difficult. With this in mind, we developed a robust two-step molecular viability assay (MVA) that first enumerates the M. leprae in the tissue; then, this data is used to normalize bacterial RNA quantities for the second step, in which the expression of M. leprae esxA and hsp18 are measured. This assay is specific and sensitive enough to be used on most clinical samples. This protocol describes the steps required to extract DNA and RNA from M. leprae-infected tissue, enumerate M. leprae, and measure M. leprae viability based on the normalized expression of two M. leprae-specific genes (hsp18 and esxA). This protocol also outlines an optimal laboratory design and workflow for performing this assay. © 2022 The Leprosy Mission Nepal. Current Protocols published by Wiley Periodicals LLC. This article has been contributed to by US Government employees and their work is in the public domain in the USA. Basic Protocol 1: DNA and RNA P purification from M. leprae-infected tissue Basic Protocol 2: Enumeration of M. leprae by RLEP qPCR on the DNA fraction Basic Protocol 3: Calculation of M. leprae per tissue and normalization of RNA Basic Protocol 4: Reverse-transcription of normalized RNA to generate cDNA Basic Protocol 5: Determination of M. leprae viability using HSP18 and ESXA qPCR on the cDNA Support Protocol 1: M. leprae qPCR primer/probe stock preparation Support Protocol 2: Preparation of plasmid stocks and standard curves.
Collapse
Affiliation(s)
- J.H. Collins
- United States Department of Health and Human Services, Health Resources and Services Administration, Health Systems Bureau, National Hansen’s Disease Programs, Baton Rouge, Louisiana, USA
| | - S.M. Lenz
- United States Department of Health and Human Services, Health Resources and Services Administration, Health Systems Bureau, National Hansen’s Disease Programs, Baton Rouge, Louisiana, USA
| | - N.A. Ray
- United States Department of Health and Human Services, Health Resources and Services Administration, Health Systems Bureau, National Hansen’s Disease Programs, Baton Rouge, Louisiana, USA
| | - M.F. Balagon
- Leonard Wood Memorial, Center for TB and Leprosy Research, Cebu, Philippines
| | - D.A. Hagge
- Mycobacterial Research Laboratories, Anandaban Hospital, Kathmandu, Nepal
| | - R. Lahiri
- United States Department of Health and Human Services, Health Resources and Services Administration, Health Systems Bureau, National Hansen’s Disease Programs, Baton Rouge, Louisiana, USA
| | - L.B. Adams
- United States Department of Health and Human Services, Health Resources and Services Administration, Health Systems Bureau, National Hansen’s Disease Programs, Baton Rouge, Louisiana, USA,Corresponding author: Linda B. Adams,
| |
Collapse
|