Government Institute of Medical Sciences

A river confluence is an important ecosystem to investigate the microbial community and functional profile. Even after the enormous applications of trace elements and antibiotics, their release into the environment causes pollution and selective pressure that facilitate the proliferation and dissemination of resistance genes against antibiotics, metals and biocides among bacterial communities. Metagenomic exploration plays a pivotal role in deciphering riverine ecosystems and offers valuable insights for the mitigation of pollution and the dissemination of resistance genes. Monitoring microbial diversity could aid in identifying various prokaryotes, pathogens, and pollutants, including dyes and their associated resistance genes. Therefore, we aimed to elucidate the occurrence of resistance genes and virulence factors in the microbial community of Saryu River water using high-throughput metagenomics coupled with bioinformatic analyses. The highly dominant antibiotic resistance gene (ARG) types identified were rifampin, tetracycline, macrolide, polymyxin and rifampicin multidrug/efflux. ARGs such as rpoB2, Txr, adeF, tetB(P), and acrB were found to be abundant in Saryu River water. Among the detected MRG subtypes, namely, ruvB and arsB, the most abundant are in water. Further, the biocides against which the resistance was identified were ethidium bromide, triclosan, sodium dodecyl sulfate, etc. Among the virulence factors, tufa, htpB (adherence), Gmd (immune-modulation), cheD (motility), and clpV1 (effector-delivery-system) were found to be highly prevalent. Taxonomic classification revealed that Cyanobateriota, followed by Pseudomonadota (Proteobacteria) and Bacteroidota were the dominant phyla in the river water. Microcystis was the most dominant genus, followed by Desulfomicrobium and Dechloromonas. The present study shows that antibiotics and metals are the major sources of resistance genes development and dissemination in the environment.. Further, this is a preliminary study based on a single composite sample, representing a "snapshot" at a specific time and location. The present study highlights the persistence of ARGs, MRGs, biocides, and virulence factors in Saryu River water and provides valuable baseline data for risk assessment.

Demand for greener and safer chemistries has driven the innovation of bioinspired and enzyme-mimicking catalysts for selective and efficient oxidation and hydrogenation under mild conditions. Natural catalysts, including peroxidases, oxidases, hydrogenases, oxygenases and dehydrogenases, boast remarkable activity, specificity, stability, selectivity, low energy requirements and atom economy. Disadvantages of enzymes, such as poor thermal stability, a narrow operational range, low recovery yield and the expense of purification, are motivating the discovery and design of enzyme substitutes. Several artificial platforms have appeared recently: nanozymes, artificial metalloenzymes, biomimetic metal Complexes, MOFs, atomic catalysts, bioinorganic hybrid systems, among others. These systems aim to replicate key structural and mechanistic features of enzymes while providing greater operational stability, recyclability, and scalability. Recent work has demonstrated the benefit of enzyme mimics in increasing eco-sustainability in reactions such as alcohol oxidation, selective alkane oxidation, waste degradation, catalytic photooxygen activation and biomass waste conversion. Similarly, biomimetic hydrogenation catalysts have shown outstanding activity in asymmetrically hydrogenating chemicals, reducing CO2 into chemicals, hydrogenation by hydrogen transfer and creating hydrogen through water. Through control of active sites, second coordination sites, defects and electrons/protons in the system, significant gains have been seen in reaction selectivity and frequency of turning over substrate into product. Nanozymes, biohybrid catalysis and artificial catalysts guided by deep learning are further broadening the applications of biomimetic catalysis in oxidation and hydrogenation. The article review aims to provide a summary of the most current progress with bioinspired and enzyme-mimicking catalysts, focusing on catalytic mechanisms, how to design such catalysts, how green chemistry benefits from their development and where further application is likely in the coming years.

While India is among the top consumers of tobacco globally, research is mostly limited to younger age groups. The present study aims to estimate the distribution of gender disparities in tobacco consumption across states and union territories. Further, our objective was to estimate socioeconomic inequalities of tobacco consumption as per wealth index across gender, and to determine the contribution of different demographic, socioeconomic, health related and behavioural factors to the gender disparities in tobacco consumption. We did a secondary analysis of the data from 66,606 participants aged ≥ 45 years who participated in the first wave of the Longitudinal Aging Study in India (LASI) between 2017 and 18. Weighted distribution of gender disparities in tobacco consumption was documented as per Indian states and union territories with spatial distribution by Indian map, categorised into low, medium and large. Socioeconomic disparities were documented using a concentration curve as per gender. Multivariate decomposition analysis was conducted to estimate the contribution of different demographic, socioeconomic, health-related and behavioural factors separately. P-value less than 0.05 was considered as statistically significant. About 36.78