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  1. Qutob M, Alshehri S, Shakeel F, Alam P, Rafatullah M
    Environ Sci Pollut Res Int, 2024 Apr;31(18):26452-26479.
    PMID: 38546921 DOI: 10.1007/s11356-024-33040-3
    The advanced oxidation process (AOP) is an efficient method to treat recalcitrance pollutants such as pharmaceutical compounds. The essential physicochemical factors in AOP experiments significantly influence the efficiency, speed, cost, and safety of byproducts of the treatment process. In this review, we collected recent articles that investigated the elimination of pharmaceutical compounds by various AOP systems in a water medium, and then we provide an overview of AOP systems, the formation mechanisms of active radicals or reactive oxygen species (ROS), and their detection methods. Then, we discussed the role of the main physicochemical parameters (pH, chemical interference, temperature, catalyst, pollutant concentration, and oxidant concentration) in a critical way. We gained insight into the most frequent scenarios for the proper and improper physicochemical parameters for the degradation of pharmaceutical compounds. Also, we mentioned the main factors that restrict the application of AOP systems in a commercial way. We demonstrated that a proper adjustment of AOP experimental parameters resulted in promoting the treatment performance, decreasing the treatment cost and the treatment operation time, increasing the safeness of the system products, and improving the reaction stoichiometric efficiency. The outcomes of this review will be beneficial for future AOP applicants to improve the pharmaceutical compound treatment by providing a deeper understanding of the role of the parameters. In addition, the proper application of physicochemical parameters in AOP systems acts to track the sustainable development goals (SDGs).
  2. Kumari V B C, Ramu R, Shirahatti PS, Alam P, Wong LS
    Front Microbiol, 2024;15:1497023.
    PMID: 39764448 DOI: 10.3389/fmicb.2024.1497023
    INTRODUCTION: Lactic acid bacteria are prized for their probiotic benefits and gut health improvements. This study assessed five LAB isolates from Neera, with RAMULAB51 (Levilactobacillus brevis, GenBank ON171686.1) standing out for its high hydrophobicity, auto-aggregation, antimicrobial activity, and enzyme inhibition. It evaluated RAMULAB51's potential in probiotics and diabetes management, focusing on its effects on digestive enzyme inhibition, glucose uptake, and adipocyte function.

    METHODS: Isolates were characterized by Gram staining, catalase reaction, growth at 37°C, and tolerance to phenol, pH, and gastrointestinal conditions. Molecular identification using 16S rRNA sequencing. Evaluations included hydrophobicity, auto-aggregation, HT-29 cell line adhesion, antimicrobial activity, and antibiotic susceptibility. Enzyme inhibition was measured for α-glucosidase and α-amylase using cell-free supernatant, cell extract, and intact cells. Adipogenesis was assessed through Oil-Red O staining, gene expression analysis (PPAR-γ, C/EBPα, Adiponectin, Glut-4, FAS), and glucose uptake assays on 3T3-L1 cells.

    RESULTS: All isolates showed good tolerance to pH (≤9.15 CFU/ml), phenol (≤9.90 CFU/ml), hydrophobicity (≤78.14%), and auto-aggregation (≤92.23%). RAMULAB51 demonstrated the highest tolerance, hydrophobicity, and auto-aggregation. It strongly co-aggregated with Micrococcus luteus and Bacillus subtilis, showing significant antimicrobial activity with a 24 mm inhibition zone against Micrococcus luteus. All isolates were sensitive to Ampicillin, Azithromycin, Streptomycin, and Tetracycline, but resistant to Methicillin and Vancomycin. RAMULAB51 demonstrated the highest enzyme inhibition: α-glucosidase (68.45% CFS, 60.18% CE, 42.15% IC) and α-amylase (80.74% CFS, 61.23% CE, 35.12% IC). By inhibiting these digestive enzymes, RAMULAB51 reduces the conversion of carbohydrates into glucose, thereby decreasing blood glucose levels. This reduction in circulating glucose subsequently influences adipocyte function, as evidenced by the enhanced glucose uptake (1000 µg/mL) and upregulation of PPAR-γ, C/EBPα, Adiponectin, and Glut-4, alongside the downregulation of FAS.

    CONCLUSION: The study highlights RAMULAB51's potential for improving glucose and lipid metabolism. Further, in vivo research is needed to explore its full therapeutic benefits. These findings confirm RAMULAB51's significant probiotic potential and its promise for diabetes management, warranting further clinical investigation.

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