Subtractive genomics study of Xanthomonas oryzae pv. Oryzae reveals repurposable drug candidate for the treatment of bacterial leaf blight in rice.

BACKGROUND: Xanthomonas oryzae pv. oryzae is a plant pathogen responsible for causing one of the most severe bacterial diseases in rice, known as bacterial leaf blight that poses a major threat to global rice production. Even though several experimental compounds and chemical agents have been tested against X. oryzae pv. oryzae, still no approved drug is available. In this study, a subtractive genomic approach was used to identify potential therapeutic targets and repurposible drug candidates that could control of bacterial leaf blight in rice plants. RESULTS: The entire proteome of the pathogen underwent an extensive filtering process which involved removal of the paralogous proteins, rice homologs, non-essential proteins. Out of the 4382 proteins present in Xoo proteome, five hub proteins such as dnaA, dnaN, recJ, ruvA, and recR were identified for the druggability analysis. This analysis led to the identification of dnaN-encoded Beta sliding clamp protein as a potential therapeutic target and one experimental drug named [(5R)-5-(2,3-dibromo-5-ethoxy-4hydroxybenzyl)-4-oxo-2-thioxo-1,3-thiazolidin-3-yl]acetic acid that can be repurposed against it. Molecular docking and 100 ns long molecular dynamics simulation suggested that the drug can form stable complexes with the target protein over time. CONCLUSION: Findings from our study indicated that the proposed drug showed potential effectiveness against bacterial leaf blight in rice caused by X. oryzae pv. oryzae. It is essential to keep in consideration that the procedure for developing novel drugs can be challenging and complicated. Even the most promising results from in silico studies should be validated through further in vitro and in vivo investigation before approval.

Knowledge, attitudes, and practices regarding antibiotic use in Bangladesh: Findings from a cross-sectional study.

BACKGROUND: Escalating antibiotic resistance presents a notable worldwide dilemma, pointing a large involvement of general population. The objective of this study was to assess knowledge, attitudes, and practices regarding the utilization of antibiotics among Bangladeshi residents. METHODS: A cross-sectional study, conducted from January 01 to April 25, 2022, included 1,947 Bangladeshi adults with a history of antibiotic use, via online surveys and face-to-face interviews using a pretested semi-structured questionnaire. Descriptive statistics, Chi-square tests, and multivariate linear regression models were employed. RESULTS: Mean scores for knowledge, attitudes, and practices were 6.59±1.20, 8.34±1.19, and 12.74±2.59, with correct rates of 73.22%, 92.67%, and 57.91%. Positive predictors for knowledge included being unmarried (ß = 0.10, p = 0.001), higher education (College: ß = 0.09, p = 0.025; Bachelor: ß = 0.22, p<0.001; Master or above: ß = 0.14, p<0.001), various professions (student: ß = 0.57, p<0.001; housewife: ß = 0.33, p<0.001; employee: ß = 0.53, p<0.001; businessman: ß = 0.31, p<0.001; unemployed: ß = 0.15, p<0.001), and residing in semi-urban (ß = 0.32, p<0.001) or urban areas (ß = 0.15, p<0.001). Positive predictors for attitudes included being married (ß = 0.18, p<0.001), specific professions (student: ß = 1.06, p<0.001; housewife: ß = 0.33, p<0.001; employee: ß = 0.86, p<0.001; businessman: ß = 0.37, p<0.001; unemployed: ß = 0.47, p<0.001), higher SES (Lower-middle: ß = 0.22, p<0.001; Middle: ß = 0.26, p<0.001), and residing in semi-urban areas (ß = 0.18, p<0.001); negative predictors included higher education (College: ß = -0.12, p = 0.001; Master or above: ß = -0.09, p = 0.008) and being rich (ß = -0.13, p<0.001). Positive predictors for practices included being married (ß = 0.18, p<0.001), specific professions (student: ß = 0.32, p<0.001; employee: ß = 0.43, p<0.001; businessman: ß = 10, p = 0.034; unemployed: ß = 0.11, p = 0.009), and higher SES (Lower-middle: ß = 0.14, p = 0.009; Middle: ß = 0.38, p<0.001; Higher-middle: ß = 0.15, p = 0.008); negative predictors included higher education (College: ß = -0.21, p<0.001), being rich (ß = -0.12, p<0.001), residing in semi-urban (ß = -0.14, p<0.001) or urban areas (ß = -0.16, p<0.001). CONCLUSIONS: Participants exhibited adequate knowledge and positive attitudes but lagged behind in proper practice of antibiotic use. Proper initiatives should be tailored to enhance prudent antibiotic use and mitigate the risk of antimicrobial resistance.

Identification of repurposable drug targets in Mycoplasma pneumoniae using subtractive genomics, molecular docking and dynamics simulation.

Mycoplasma pneumoniae is a significant causative agent of community-acquired pneumonia, causing acute inflammation in the upper and lower respiratory tract as well as extrapulmonary syndromes. In particular, the elderly and infants are at greater risk of developing severe, life-threatening pneumonia caused by M. pneumoniae. Yet, the global increase in antimicrobial resistance against antibiotics for the treatment of M. pneumoniae infection highlights the urgent need to explore novel drug targets. To this end, bioinformatics approaches, such as subtractive genomics, can be employed to identify specific metabolic pathways and essential proteins unique to the pathogen that could be potential targets for new drugs. In this study, we implemented a subtractive genomics approach to identify 61 metabolic pathways and 42 essential proteins that are unique to M. pneumoniae. A subsequent screening in the DrugBank database revealed three druggable proteins with similarity to FDA-approved small-molecule drugs, and finally, the compound CHEBI:97093 was identified as a promising novel putative drug target. These findings can provide crucial insights for the development of highly effective drugs that selectively inhibit the pathogen-specific metabolic pathways, leading to better management and treatment of M. pneumoniae infections.