Objectives: To assess the anticandidal efficacy of nine medicinal plants to drug resistant isolates from diabetic patients with chronic periodontitis. A comparison was done with chlorhexidine gluconate.
Methods: Isolates from the periodontal pockets of 121 diabetics with severe periodontitis was obtained. Sensitivity to four antifungal antibiotics was assessed by disc diffusion method. Anticandidal activity of cold ethanol and hot aqueous extracts of nine plants were evaluated by well diffusion method. Minimum inhibitory concentration (MIC) was determined by microtube broth dilution method.
Results: was found to be the predominant species. None of the isolates extended resistance to amphotericin B. Aqueous and ethanol extracts of extended notable anticandidal efficacy, and the ethanol extracts were more active. Chlorhexidine extended better efficacy than the plant extracts.
Conclusions: is the prevalent yeast among diabetics with periodontitis. Presence of multidrug resistant for is a challenge. and can be explored for the development of safer anticandidal agents.
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http://dx.doi.org/10.4103/jpbs.jpbs_1143_24 | DOI Listing |
Anal Chem
March 2025
College of Chemistry, Jilin Province Research Center for Engineering and Technology of Spectral Analytical Instruments, Jilin University, Qianjin Street 2699, Changchun 130012, China.
The lack of precise, real-time analytical tools for monitoring tumor microenvironment changes during treatment hinders advancements in integrated diagnostic and therapeutic platforms. Traditional caspase-3 monitoring strategies are limited by their inability to address drug resistance and newly discovered apoptotic pathways, leading to reduced accuracy and practicality. To overcome these limitations, we developed a fluorescence-based "Trojan horse" nanosystem, PFpR@CM, featuring high-sensitivity Caspase-1 detection, tumor-targeted delivery, and photothermal therapy.
View Article and Find Full Text PDFBackground: Ceftazidime-avibactam and colistin are antibiotics of new and regaining importance used for the treatment of infections caused by multidrug-resistant organisms. The broth microdilution (BMD) test recommended for detecting colistin sensitivity is labor-intensive and difficult to perform under routine conditions. There is a need for alternative methods that produce fast and reliable results in routine laboratory studies.
View Article and Find Full Text PDFBackground: The emergence of OXA-type beta-lactamases has become a significant threat to public healthcare systems and may lead to prolonged hospital stays and increased mortality rates among affected patients. This study aimed to determine the prevalence of oxacillinase resistance (OXA) genes in multidrug-resistant (MDR) Gram-negative bacteria.
Methods: One hundred and six clinical isolates were collected from a stock of Gram-negative isolates and were identified and tested for antibiotic susceptibility and presence of OXA genes using polymerase chain reaction (PCR).
Background: The purpose of the study was to understand the distribution and drug resistance characteristics of Enterococcus so as to provide a reliable basis for clinical use of antibiotics and hospital infection control.
Methods: In total, 3,455 strains of Enterococcus, isolated from January 2010 through December 2021, were col-lected. Bruker MALDI biotyper, MICROSCAN walkaway 40 analysis system, and Vitek-2 compact automatic drug sensitivity identification analyzer were used to identify the strains and to test drug sensitivity, and then the results were analyzed.
Front Pharmacol
February 2025
Department of Experimental Research, Sun Yat-sen University Cancer Center, Guangzhou, China.
Introduction: Multi-drug resistance (MDR) is one of the leading reasons that cause the failures of cancer treatment. Novel agents that may reverse MDR and neutralize drug-resistant cancer cells are highly desirable for clinical practice. The targeting of cellular redox homeostasis and/or mitochondria-mediated energy metabolism are promising strategies for the suppression of drug-resistant cancer cells.
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