Results 171 to 180 of about 251,367 (400)
Label: mEVs and osteogenesis Description: This study reports a comparative analysis of mEVs isolated from raw milk EVs. Functional relevance of each type of mEVs is evaluated on cell proliferation and osteogenic differentiation of murine fibroblasts model.
Anna Maria Grimaldi +6 more
wiley +1 more source
Soil microbiomes in degraded grasslands: Assembly, function, and application
The key research priorities for microbial response studies and ecological restoration practices for degraded grasslands. Abstract Grassland ecosystems are pivotal to sustaining multiple ecosystem functions and services like climate regulation, carbon sequestration, and grass production.
Xi‐Lin Yuan +6 more
wiley +1 more source
Potential of Mobile Phones to Serve as a Reservoir in Spread of Nosocomial Pathogens [PDF]
Objective: The use of cellular telephones by medical personnel and the associated nosocomial transmission of pathogens have not been thoroughly examined.
Bhat, SS, Hegde, SK, Salian, S
core
OXA-23 Is a Prevalent Mechanism Contributing to Sulbactam Resistance in Diverse Acinetobacter baumannii Clinical Strains [PDF]
Yunxing Yang +11 more
openalex +1 more source
Abstract Objective To test the feasibility and effectiveness of implementing the HemoClear microfiltration cell‐salvage system for cesarean sections in South Africa. Methods We conducted a prospective experimental single‐arm feasibility study collecting and processing blood from 20 adult women undergoing cesarean section in Pelonomi Tertiary Hospital ...
Nndwammbi C. Ramatsea +5 more
wiley +1 more source
A Tractable Drosophila Cell System Enables Rapid Identification of Acinetobacter baumannii Host Factors [PDF]
Qing‐Ming Qin +5 more
openalex +1 more source
This study conducted a retrospective analysis of microbiological culture results and antimicrobial resistance patterns in patients with sternal osteomyelitis at a tertiary medical center. The primary pathogens causing sternal osteomyelitis were gram‐positive bacteria. Infections with multidrug‐resistant organisms were also relatively common among these
Yumin Yang +5 more
wiley +1 more source
Artificial intelligence (AI) technology is revolutionizing antimicrobial drug development. In response to increasingly severe antimicrobial resistance challenges, AI can efficiently predict pathogen evolutionary trends, identify potential drug targets, and accelerate compound design and optimization, thereby significantly shortening the development ...
Kexin Li +6 more
wiley +1 more source

