Recently, rapid acquisition of bacterial resistance and consequent slow healing of infected wounds threaten human life and health. In this study, chitosan-based hydrogels and nanocomplexes ZnPc(COOH):PMB composed of photosensitizer ZnPc(COOH) and antibiotic polymyxin B (PMB) were integrated into a thermosensitive antibacterial platform ZnPc(COOH):PMB@gel. Interestingly, fluorescence and reactive oxygen species (ROS) of ZnPc(COOH):PMB@gel can be triggered by E. coli bacteria at 37 °C, but not by S. aureus bacteria, which gave the potential to simultaneously detect and treat Gram-negative bacteria. The survival rate for a certain amount of E. coli bacteria treated with ZnPc(COOH):PMB (ZnPc(COOH) 2 μM) was decreased by approximately fivefold than that with either ZnPc(COOH) or PMB alone, indicating combined antibacterial efficacy. ZnPc(COOH):PMB@gel facilitated the complete healing of wounds infected with E. coli bacteria in about seven days, while over 10 % wounds treated with ZnPc(COOH) or PMB remained unhealed on the 9th day. ZnPc(COOH):PMB resulted in a threefold increase of ZnPc(COOH) fluorescence in E. coli bacteria suggesting enhanced uptake of ZnPc(COOH) for the intervention of PMB on membrane permeability. The construction principle of the thermosensitive antibacterial platform and the combined antimicrobial strategy can be applied to other photosensitizers and antibiotics for detection and treatment of wound infections.
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http://dx.doi.org/10.1016/j.ijbiomac.2023.125072 | DOI Listing |
Vet Res Commun
January 2025
Departamento de Microbiología e Inmunología, Facultad de Ciencias Exactas, Físico-Químicas y Naturales, Universidad Nacional de Río Cuarto, Ruta N 36 Km 601, Río Cuarto City, 5800, Córdoba, Argentina.
Post-weaning diarrhea (PWD) is a major concern for pig producers, as stress and early weaning increase susceptibility to enteropathogens like enterotoxigenic Escherichia coli (ETEC) and Salmonella enterica subsp. enterica serovar Typhimurium (S. Typhimurium).
View Article and Find Full Text PDFLett Appl Microbiol
January 2025
Department of Veterinary Microbiology, West Bengal University of Animal and Fishery Sciences, 37, K.B. Sarani, Belgachia, Kolkata, West Bengal, India.
The study was conducted to detect the occurrence and phenotypic resistance pattern of ESBL-producing Enterobacteriaceae in livestock using docking based analysis to reveal the classes of antibiotics against which ESBL-producers are active. Rectal swabs from healthy cattle (n=100), goats (n=88), pigs (n=66) were collected from backyard farms in Andaman and Nicober island (India). In total, 304 isolates comprising E.
View Article and Find Full Text PDFBMC Vet Res
January 2025
Faculty of Veterinary Sciences, University of Buenos Aires, Buenos Aires, Argentina.
Background: Lower urinary tract disease is a common clinical condition in dogs, usually presenting with dysuria, pollakiuria and haematuria. Diabetes mellitus is a predisposing factor for urinary tract infection in both humans and dogs and does not necessarily present with clinical signs. In this case report, we describe for the first time a case of cystitis glandularis in a dog with diabetes mellitus, associated with Escherichia coli urinary tract infection.
View Article and Find Full Text PDFBMC Microbiol
January 2025
Chair of Microbiology, Jagiellonian University Medical College in Krakow, 18 Czysta Street, Cracow, 31-121, Poland.
Background: Aerobic vaginitis (AV) is a state of abnormal vaginal microbiota, which is associated with increased numbers of aerobic, enteric bacteria and inflammation of the vaginal epithelium. Anti-microbial treatment combined with anti-inflammatory therapy could be useful in the treatment of this condition. It is known that calcitriol, the active form of vitamin D, plays an important role in modulating the immune response in several inflammatory diseases.
View Article and Find Full Text PDFNat Microbiol
January 2025
School of Environmental and Chemical Engineering, Shanghai University, Shanghai, China.
Artificial intelligence (AI) is a promising approach to identify new antimicrobial compounds in diverse microbial species. Here we developed an AI-based, explainable deep learning model, EvoGradient, that predicts the potency of antimicrobial peptides (AMPs) and virtually modifies peptide sequences to produce more potent AMPs, akin to in silico directed evolution. We applied this model to peptides encoded in low-abundance human oral bacteria, resulting in the virtual evolution of 32 peptides into potent AMPs.
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