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This research investigated the antibacterial activities of AgFe2O4 and Fe3O4 ferrite nanoparticles compared to AgFe2O4/SiO2/Passiflora Caerulea and Fe3O4/SiO2/Passiflora Caerulea nanocomposites. To synthesize ferrite nanocomposites, Passiflora Caerulea plant extract was doped onto ferrite nanoparticles with the assistance of silica (SiO2). The degree of crystallinity, phase composition, microstructure, and the compositions of the samples were determined using X-ray diffraction (XRD), Fourier transform infrared (FT-IR) spectroscopy, field emission scanning electron microscopy (FESEM), and energy dispersive X-ray analysis (EDXA), respectively. Furthermore, the broth microdilution method was employed against Gram-positive and Gram-negative bacteria to assess the antimicrobial activity. The method was also applied to Gram-positive and Gram-negative bacteria to examine the antimicrobial activity. The results of the Minimum Inhibitory Concentration (MIC) and Minimum Bactericidal Concentration (MBC) of silver and iron nanocomposites indicated that these nanocomposites exhibited superior antibacterial activity compared to silver and iron ferrite nanoparticles. Thus, silver and iron ferrite nanocomposites could serve as a novel antibacterial agent against infectious bacteria.

Diabetes with a broad spectrum of complications has become a global epidemic metabolic disorder. Till now, several pharmaceutical and non-pharmaceutical therapeutic approaches were applied for its treatment. Cell-based therapies have become promising methods for diabetes treatment. Better understanding of diabetes pathogenesis and identification of its specific biomarkers along with evaluation of different treatments efficacy, can be possible by clarification of specific metabolic modifications during the diabetes progression. Subsequently, metabolomics technology can support this goal as an effective tool. The present review tried to show how metabolomics quantifications can be useful for diabetic monitoring before and after cell therapy. Cell therapy is an alternative approach to achieve diabetes treatments goals including insulin resistance amelioration, insulin independence reparation, and control of glycemia. OMICs approaches provide a comprehensive insight into the molecular mechanisms of cells features and functional mechanism of their genomics, transcriptomics, proteomics, and metabolomics profile which can be useful for their therapeutic application. As a modern technology for the detection and analysis of metabolites in biological samples, metabolomica can identify many of the metabolic and molecular pathways associated with diabetes and its following complications.