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Pyrazinamide (PZA) is an important component of first-line anti-tuberculosis (anti-TB) drugs. The anti-TB agent is activated into an active form, pyrazinoic acid (POA), by Mycobacterium tuberculosis (MTB) pncA gene encoding pyrazinamidase (PZase). The major cause of PZA-resistance has been associated with mutations in the pncA gene. We have detected several novel mutations including V131F, Q141P, R154T, A170P, and V180F (GeneBank Accession No. MH461111) in the pncA gene of PZA-resistant isolates during PZA drug susceptibility testing followed by pncA gene sequencing. Here, we investigated molecular mechanism of PZA-resistance by comparing the results of experimental and molecular dynamics. The mutants (MTs) and wild type (WT) PZase structures in apo and complex with PZA were subjected to molecular dynamic simulations (MD) at the 40 ns. Multiple factors, including root mean square deviations (RMSD), binding pocket, total energy, dynamic cross correlation, and root mean square fluctuations (RMSF) of MTs and WT were compared. The MTs attained a high deviation and fluctuation compared to WT. Binding pocket volumes of the MTs, were found, lower than the WT, and the docking scores were high than WT while shape complementarity scores were lower than that of the WT. Residual motion in MTs are seemed to be dominant in anti-correlated motion. Mutations at locations, V131F, Q141P, R154T, A170P, and V180F, might be involved in the structural changes, possibly affecting the catalytic property of PZase to convert PZA into POA. Our study provides useful information that will enhance the understanding for better management of TB. AbbreviationsDSTdrug susceptibility testingΔelecelectrostatic energyLJLowenstein-Jensen mediumMGITmycobacterium growth indicator tubesMTsmutantsMDmolecular dynamic simulationsMTB Mycobacterium tuberculosis NALC-NaOH N -acetyl-l-cysteine-sodium hydroxideNIHNational Institutes of HealthNPTamount of substance (N), pressure (P) temperature (T)NVTmoles (N), volume (V) temperature (T)PZasepyrazinamidaseΔpspolar solvation energyPTRLProvincial Tuberculosis Reference LaboratoryRMSDroot mean square deviationsRMSFroot mean square fluctuationsΔSASAsolvent accessible surface area energyTBtuberculosisGTotaltotal binding free energyΔvdWVan der Waals energyWTwild typeCommunicated by Ramaswamy H. Sarma.

Pyrazinamide (PZA) is an essential first line antitubercular drug, which plays a crucial role in tuberculosis treatment. The PZA, which is considered as a pro-drug needs an enzyme of mycobacterial pyrazinamidase (PZase) for its conversion into an active form pyrazinoic acid. Further, this active form of PZA inhibits the ribosomal proteins S1, which facilitates the transfer-mRNA complex formation throughout the translation. The spontaneous mutations in RpsA have been found to be associated with PZA drug resistance. However, the drug resistance mechanism is still unclear. Furthermore, there is no such information available about the structural dynamics of RpsA protein because of mutations that confer Pyrazinoic acid resistance. Moreover, a total of 18 clinical PZA-resistant isolates were investigated and found to be pncA WT , which allowed exploration of the resistance mechanism of RpsA in the mutated state. Samples were repeated for the drug susceptibility testing followed by RpsA gene sequencing. A total of 11 clinical isolates harbored a total of 15 mutations. Almost half of the total strains (7/15) were observed to be in the conserved region of RpsA and known as Mycobacterium tuberculosis C-terminal domain. In the current study, (2/7) mutation T370P (mutant 1) and W403G (mutant 2) were explored to ensure the RpsA resistance mechanism through essential dynamics simulation. The essential dynamics study results revealed that the distal loop mutations drastically altered the conformation of RpsA both in the absence (-) and presence (+) of pyrazinoic acid drug for two reasons: (1) dramatic alteration or reduction in the binding pattern of pyrazinoic acid with active site residues observed and (2) a clear image of the opening and closing switching mechanism was seen upon the distal site mutation on nearby 3 10 -helixes beside the pyrazinoic acid binding site. This switch was found to consistently remain closed only in wild type systems, while it was open in the mutant systems. We called such distance impact an "allosteric effect." The overall mechanistic investigations will provide useful information behind drug resistance for better understanding to manage tuberculosis.

Background: Pyrazinamide (PZA) is an important component of first-line drugs because of its distinctive capability to kill subpopulations of persistent Mycobacterium tuberculosis (MTB). The prodrug (PZA) is converted to its active form, pyrazinoic acid (POA) by MTB pncA-encoded pyrazinamidase (PZase). Mutation in pncA is the most common and primary cause of PZA resistance. The aim of the present study was to explore the molecular characterization of PZA resistance in a Pashtun-dominated region of Khyber Pakhtunkhwa, Pakistan., Methods: We performed drug susceptibility testing (DST) on 753 culture-positive isolates collected from the Provincial Tuberculosis Control Program Khyber Pakhtunkhwa using the BACTEC MGIT 960 PZA method. In addition, the pncA gene was sequenced in PZA-resistant isolates, and PZA susceptibility testing results were used to determine the sensitivity and specificity of pncA gene mutations., Results: A total of 69 isolates were PZA resistant (14.8%). Mutations were investigated in 69 resistant, 26 susceptible and one H37Rv isolates by sequencing. Thirty-six different mutations were identified in PZA-resistant isolates, with fifteen mutations, including 194_203delCCTCGTCGTG and 317_318delTC, that have not been reported in TBDRM and GMTV Databases and previous studies. Mutations Lys96Thr and Ser179Gly were found in the maximum number of isolates (n = 4 each). We did not detect mutations in sensitive isolates, except for the synonymous mutation 195C > T (Ser65Ser). The sensitivity and specificity of the pncA sequencing method were 79.31% (95% CI, 69.29 to 87.25%) and 86.67% (95% CI, 69.28 to 96.24%)., Conclusion: Mutations in the pncA gene in circulating isolates of geographically distinct regions, especially in high-burden countries, should be investigated for better control and management of drug-resistant TB. Molecular methods for the investigation of PZA resistance are better than DST.

In an effort to discover the mechanism of resistance offered by Mycobacterium tuberculosis (Mtb) toward the pyrazinamide (PZA) drug, an extensive molecular dynamics strategy was employed. PZA is a first-line prodrug that effectively cuts therapy time by 33% (from 9 to 6 months). Pyrazinamidase enzyme (PZase), encoded by the pncA gene, is responsible for the activation of prodrug PZA into pyrazinoic acid (POA). POA is toxic and potently inhibits the growth of latent Mtb even at low pH values. PZA resistance is caused by three genes pncA, rpsA, and panD. Among them, the pncA gene contributes 72-99% to the resistance. Hence, the present study focused on the novel mutations N11K, P69T, and D126N in the pncA gene. In the present study, the possible mechanism of these three mutations was studied through molecular dynamics simulation and docking techniques. Our in-depth analysis and results are in strong agreement with our experimental observation. The binding pocket analysis showed that mutations decrease the volume of the active site and hinder the correct orientation of PZA drug in the active site. Moreover, the Patchdock score was found to be low as compared to WT showing the disturbance of shape complementarity between PZase and PZA drug. These mutations were found to disturb the position of the Fe 2+ ion. Among the mutations, D126N allosterically disturbed the position of the Fe 2+ ion. MMGBSA analyses showed that these mutations decrease the binding affinity toward the PZA drug. In conclusion, mutations N11K, P69T, and D126N result in weak binding affinity with PZA and also cause significant structural deformations that lead to PZA resistance. This study provides useful information that mutations in other than active parts may also cause protein folding and ligand displacement effects, altering the biological functions.

Aims: Pyrazinamide (PZA) is an important component of first-line tuberculosis (TB) treatment because of its distinctive capability to kill subpopulations of persister Mycobacterium tuberculosis (MTB). The significance of PZA can be understood by its inclusion in the most recent World Health Organization-recommended multidrug-resistant (MDR) TB regimen. Very little information is available about the prevalence of PZA-resistant TB from geographically distinct regions of high burden countries, including Khyber Pakhtunkhwa (KPK), Pakistan, because drug susceptibility testing (DST) of PZA is not regularly performed due to the complexity. In this study, we aimed to find the prevalence of PZA resistance in geographically distinct, Pashtun-dominant KPK Province of Pakistan and its correlation with other first- and second-line drug resistance., Materials and Methods: In this study, DST of PZA was performed through an automated BACTEC MGIT 960 system (BD Diagnostic Systems). The resistant samples were further subjected to DST of isoniazid (INH), rifampicin (RIF), ethambutol (EMB), streptomycin (SM), moxicillin (MOX), amikacin (AMK), ofloxacin (OFX), kanamycin (KM), and capreomycin (CAP)., Results: Out of 1,075 MTB-positive isolates, 83 (7.7%) were found to be resistant to PZA. Among the PZA-resistant isolates, 76 (90-91.6%) and 67 (80-80.7%) were found to be resistant to INH and RIF, respectively, whereas 63 (76%) were resistant to both first-line drugs, INH and RIF (MDR-TB). The resistance level of EMB, OFX, and SM was also significantly high in PZA resistance, 35 (42%), 40 (48%), and 41 (49-50%) respectively., Conclusion: PZA resistance is significantly associated with other first- and second-line drug resistance. A significant number of PZA-resistant isolates are MDR cases. Therefore, DST of PZA should regularly be performed along with other drugs for better management of treatment of MDR and extensively drug resistant (XDR), to avoid side effects in patients.

Background: The global burden of tuberculosis (TB) and antibiotic resistance is attracting the attention of researchers to develop some novel and rapid diagnostic tools. Although, the conventional methods like culture are considered as the gold standard, they are time consuming in diagnostic procedure, during which there are more chances in the transmission of disease. Further, the Xpert MTB/RIF assay offers a fast diagnostic facility within 2 h, but due to low sensitivity in some sample types may lead to more serious state of the disease. The role of computer technologies is now increasing in the diagnostic procedures. Here, in the current study we have applied the artificial neural network (ANN) that predicted the TB disease based on the TB suspect data. Methods: We developed an approach for prediction of TB, based on an ANN. The data was collected from the TB suspects, guardians or care takers along with samples, referred by TB units and health centers. All the samples were processed and cultured. Data was trained on 12,636 records of TB patients, collected during the years 2016 and 2017 from the provincial TB reference laboratory, Khyber Pakhtunkhwa, Pakistan. The training and test set of the suspect data were kept as 70 and 30%, respectively, followed by validation and normalization. The ANN takes the TB suspect's information such as gender, age, HIV-status, previous TB history, sample type, and signs and symptoms for TB prediction. Results: Based on TB patient data, ANN accurately predicted the Mycobacterium tuberculosis (MTB) positive or negative with an overall accuracy of >94%. Further, the accuracy of the test and validation were found to be >93%. This increased accuracy of ANN in the detection of TB suspected patients might be useful for early management of disease to adopt some control measures in further transmission and reduce the drug resistance burden. Conclusion: ANNs algorithms may play an effective role in the early diagnosis of TB disease that might be applied as a supportive tool. Modern computer technologies should be trained in diagnostics for rapid disease management. Delays in TB diagnosis and initiation treatment may allow the emergence of new cases by transmission, causing high drug resistance in countries with a high TB burden. [ABSTRACT FROM AUTHOR]