Nitric oxide (NO) is a highly reactive gas molecule, exhibiting antimicrobial properties. Because of its reactive nature, it is challenging to store and deliver NO efficiently as a therapeutic agent. The objective of this study was to develop NO-releasing polymeric fibers (NO-fibers), as an effective delivery platform for NO. NO-fibers were fabricated with biopolymer solutions of polyvinyl pyrrolidone (PVP) and ethylcellulose (EC), and derivatives of -diazeniumdiolate (NONOate) as NO donor molecules, using an electrospinning system. We evaluated in vitro NO release kinetics, along with antimicrobial effects and cytotoxicity in microorganisms and human cell culture models. We also studied the long-term stability of NONOates in NO-fibers over 12 months. We demonstrated that the NO-fibers could release NO over 24 h, and showed inhibition of the growth of Pseudomonas aeruginosa (P. aeruginosa) and methicillin-resistant Staphylococcus aureus (MRSA), without causing cytotoxicity in human cells. NO-fibers were able to store NONOates for over 12 months at room temperature. This study presents the development of NO-fibers, and the feasibility of NO-fibers to efficiently store and deliver NO, which can be further developed as a bandage.
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http://dx.doi.org/10.3390/pharmaceutics13091445 | DOI Listing |
Expert Rev Pharmacoecon Outcomes Res
January 2025
Merck & Co. Inc, Rahway, NJ, USA.
Background: We evaluated UK nurses' preferences for pediatric hexavalent vaccine attributes.
Research Design And Methods: In a discrete-choice experiment study, 150 nurses chose between 2 hypothetical pediatric hexavalent vaccines with varying attribute levels (device type, plastic in packaging, time on the market, and time the vaccine can stay safely at room temperature) in a series of choice questions. Using random-parameters logit-model estimates, conditional relative attribute importance (CRAI) and odds ratios (ORs) were calculated.
Sci Rep
January 2025
Faculty of Resilience, Rabdan Academy, Abu Dhabi, United Arab Emirates.
The healthcare sector is experiencing a digital transformation propelled by the Internet of Medical Things (IOMT), real-time patient monitoring, robotic surgery, Electronic Health Records (EHR), medical imaging, and wearable technologies. This proliferation of digital tools generates vast quantities of healthcare data. Efficient and timely analysis of this data is critical for enhancing patient outcomes and optimizing care delivery.
View Article and Find Full Text PDFJ Colloid Interface Sci
January 2025
School of Chemistry and Chemical Engineering/State Key Laboratory Incubation Base for Green Processing of Chemical Engineering, Shihezi University, Shihezi 832003 Xinjiang, China. Electronic address:
The development of sustainable and clean energy has become a top priority, driven by global carbon peaking and carbon neutrality targets. Organics are widely used in aqueous zinc ion batteries (AZIBs) due to their environmental friendliness, high structural designability, and safety. However, organic materials often face some challenges, including high solubility, low specific capacity, and unclear mechanism, which hinder its further applications.
View Article and Find Full Text PDFSci Rep
January 2025
Institute for X-ray Physics, Georg-August University Göttingen, Friedrich-Hund-Platz 1, 37077, Göttingen, Germany.
Imaging the entire cardiomyocyte network in entire small animal hearts at single cell resolution is a formidable challenge. Optical microscopy provides sufficient contrast and resolution in 2d, however fails to deliver non-destructive 3d reconstructions with isotropic resolution. It requires several invasive preparation steps, which introduce structural artefacts, namely dehydration, physical slicing and staining, or for the case of light sheet microscopy also clearing of the tissue.
View Article and Find Full Text PDFNeural Netw
January 2025
Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai 201804, China; National (Province-Ministry Joint) Collaborative Innovation Center for Financial Network Security, Tongji University, Shanghai 201804, China.
Active learning on graphs (ALG) has emerged as a compelling research field due to its capacity to address the challenge of label scarcity. Existing ALG methods incorporate diversity into their query strategies to maximize the gains from node sampling, improving robustness and reducing redundancy in graph learning. However, they often overlook the complex entanglement of latent factors inherent in graph-structured data.
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