High frequency of ofloxacin resistance patterns of Mycobacterium leprae from India: An indication to revisit second line anti-leprosy treatment regimen.

OBJECTIVES: Drug resistance in leprosy is an emerging concern, leading to treatment failures, recurrences, and potential spread of resistant Mycobacterium leprae in the community. In this study, we aimed to assess drug resistance prevalence and patterns amongst leprosy patients at a tertiary care referral hospital in India. METHODS: Mutations in drug resistance determining regions for dapsone, rifampicin, and ofloxacin of the M. leprae genome in DNA extracted from skin biopsies of 136 leprosy patients (treatment-naive = 67, with persistent skin lesions = 35, with recurrence = 34) were analysed by polymerase chain reaction followed by Sanger sequencing. Wild-type strain (Thai-53) was used as a reference strain. RESULTS: Resistance mutations were identified in a total of 23 patients, constituting 16.9% of the cohort. Within this subset of 23 cases, resistance to ofloxacin was observed in 17 individuals (12.5%), while resistance to both dapsone and rifampicin was detected in three patients each (2.2% for both). The occurrence of ofloxacin resistance showed minimal disparity between recurrent and treatment-naive cases, at 17.6% and 16.4%, respectively. Dapsone resistance emerged in two treatment-naive cases and one case with persistent skin lesions. Notably, none of the treatment-naive cases or those with recurrence/relapse exhibited rifampicin resistance. Subsequently, no statistically significant correlation was identified between other clinical variables and the presence of antimicrobial resistance. CONCLUSIONS: The occurrence of resistance to the current multidrug therapy regimen (specifically dapsone and rifampicin) and to ofloxacin, a secondary antileprosy medication in M. leprae, represents a concerning scenario. This calls for an expansion towards bactericidal drug options and the establishment of robust surveillance for drug resistance in countries burdened with high leprosy rates. Moreover, the introduction of stringent antimicrobial stewardship initiatives is imperative. As a single centre study, it represents a limited, cross-sectional view of the real situation in the field.

Recent Applications of Machine Learning in Molecular Property and Chemical Reaction Outcome Predictions.

Burgeoning developments in machine learning (ML) and its rapidly growing adaptations in chemistry are noteworthy. Motivated by the successful deployments of ML in the realm of molecular property prediction (MPP) and chemical reaction prediction (CRP), herein we highlight some of its most recent applications in predictive chemistry. We present a nonmathematical and concise overview of the progression of ML implementations, ranging from an ensemble-based random forest model to advanced graph neural network algorithms. Similarly, the prospects of various feature engineering and feature learning approaches that work in conjunction with ML models are described. Highly accurate predictions reported in MPP tasks (e.g., lipophilicity, solubility, distribution coefficient), using methods such as D-MPNN, MolCLR, SMILES-BERT, and MolBERT, offer promising avenues in molecular design and drug discovery. Whereas MPP pertains to a given molecule, ML applications in chemical reactions present a different level of challenge, primarily arising from the simultaneous involvement of multiple molecules and their diverse roles in a reaction setting. The reported RMSEs in MPP tasks range from 0.287 to 2.20, while those for yield predictions are well over 4.9 in the lower end, reaching thresholds of >10.0 in several examples. Our Review concludes with a set of persisting challenges in dealing with reaction data sets and an overall optimistic outlook on benefits of ML-driven workflows for various MPP as well as CRP tasks.

Differences among Indian and European pemphigus patients based on demographics, clinical parameters and propensity for relapse: results of a prospective bicontinental cohort study.

Limited studies have explored pemphigus variations among different ethnic groups residing in their respective geographical locations. This bicontinental study aimed to compare clinical and immunological parameters in Indian and European pemphigus patients in complete remission, off therapy, or on minimal therapy. 105 patients (India, n= 75; Bulgaria, n=15; Greece, n=15) with pemphigus vulgaris (PV) or pemphigus foliaceous (PF) in complete remission on minimal therapy (n=64) or complete remission off therapy (n=41) were recruited. Demographic, clinical, and immunological parameters were compared. Indian patients were significantly younger, the maximal disease severity during the preceding active disease phase was significantly lower, and treatment duration until complete remission was significantly shorter, compared to European patients. European patients had significantly higher anti-Dsg3 serum levels and higher IgG positivity rate based on direct immunofluorescence microscopy at baseline. Furthermore, European patients revealed higher CD19, CD19+ CD27+ cell counts, compared with patients from India. Of note, none of the European patients (n=30) relapsed within the study period, in contrast to 29/75 (38.6%) Indian patients. Treatment strategies differed significantly between the two cohorts, with more frequent utilization of rituximab to achieve remission in the Indian cohort, while prednisolone was more widely used for maintaining remission in the European cohort. The observed heterogeneity of pemphigus among patients of different ethnicities in terms of demographics, clinical parameters, and propensity for relapse may be due to genetic background or different treatment strategies.

Optical Coherence Tomography in Glaucoma.

The optic disk and the RNFL are the principal sites of apparent glaucomatous damage which precedes glaucomatous visual field alterations. RNFL defects are known to precede detection of visual field defects by approximately 6 years. Accurate early detection and monitoring of ONH and RNFL defects has become the prime focus of effective management of glaucoma. Optical coherence tomography employs low-coherence interferometry to obtain cross-sectional images of the ocular tissues. This review attempts to critically analyse the applications of both, anterior and posterior segment OCT in glaucoma management.