Objectives: To evaluate the activity of fosfomycin against a group of MRSA strains, including isolates with reduced susceptibility or resistance to vancomycin, daptomycin, linezolid and ceftaroline and to determine the effect of combining various combinations of antimicrobial agents used in the therapy of serious Gram-positive infections.
Methods: Broth microdilution testing was used to determine the MICs of fosfomycin, vancomycin, daptomycin, linezolid, ceftaroline and cefazolin. Isolates were selected for further evaluations to determine in vitro synergy between fosfomycin and select antimicrobial agents using chequerboard broth microdilution testing. Fosfomycin was tested in combination with vancomycin, linezolid, daptomycin, ceftaroline and cefazolin.
Results: Fosfomycin maintained activity against 100% of strains of vancomycin-resistant Staphylococcus aureus (VRSA) and linezolid-resistant S. aureus (LRSA), 86% of VISA and 95% of daptomycin-resistant S. aureus (DRSA) strains. The combination of fosfomycin with ceftaroline consistently demonstrated synergy among all 18 isolates against the strains tested. The next most potent combination regimen was linezolid with fosfomycin, which demonstrated synergy in 16 of the 18 strains. Daptomycin demonstrated synergy in only 7 of the 18 strains tested when combined with fosfomycin. Cefazolin demonstrated synergy in 6 of 6 strains and vancomycin demonstrated no interaction in 6 of 6 strains tested.
Conclusions: Fosfomycin demonstrated excellent activity against MRSA as well as isolates with resistance or reduced activity to other anti-MRSA drugs including vancomycin, daptomycin and linezolid. When combined with linezolid or daptomycin, fosfomycin demonstrated synergy for all or most strains tested. Thus, these combinations may have potential clinical utility when treating patients with serious infections caused by MRSA.
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http://dx.doi.org/10.1093/jac/dkac380 | DOI Listing |
Tomography
January 2025
Department of Radiology, University of Padova, 35127 Padova, Italy.
This commentary examines Topological Data Analysis (TDA) in radiology imaging, highlighting its revolutionary potential in medical image interpretation. TDA, which is grounded in mathematical topology, provides novel insights into complex, high-dimensional radiological data through persistent homology and topological features. We explore TDA's applications across medical imaging domains, including tumor characterization, cardiovascular imaging, and COVID-19 detection, where it demonstrates 15-20% improvements over traditional methods.
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Cofoe Medical Technology Co., Ltd., No. 816 Zhenghua Road, Changsha 410021, China.
Electrochemical glucose sensor holds significant promise for the monitoring of blood glucose levels in diabetic patients. In this study, we proposed a novel electrochemical glucose sensor based on 1,10-Phenanthroline-5,6-dione (PD)/Ru(III) as a dual redox mediator. The synergistic effect of PD and Ru(III) was utilized to efficiently facilitate the electron transfer between the enzyme-active center and the electrode.
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January 2025
Chula Intelligent and Complex Systems Lab, Department of Physics, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand.
Quantum reservoir computing (QRC) has emerged as a promising paradigm for harnessing near-term quantum devices to tackle temporal machine learning tasks. Yet, identifying the mechanisms that underlie enhanced performance remains challenging, particularly in many-body open systems where nonlinear interactions and dissipation intertwine in complex ways. Here, we investigate a minimal model of a driven-dissipative quantum reservoir described by two coupled Kerr-nonlinear oscillators, an experimentally realizable platform that features controllable coupling, intrinsic nonlinearity, and tunable photon loss.
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Toxicology and Mycotoxin Research Unit, United States National Poultry Research Center, Agricultural Research Service, United States Department of Agriculture, Athens, GA, United States.
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January 2025
Department of Sports Rehabilitation, Cheongju University, Republic of Korea. Electronic address:
This study investigated muscle synergies during squats, focusing on the individual variability in motor control strategies. Sixteen healthy young adults performed 20 squats at a consistent speed. Muscle synergies were extracted using non-negative matrix factorization, followed by k-means clustering and discriminant analysis to categorize similar muscle synergies.
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