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1.
J Orthop Surg (Hong Kong) ; 26(3): 2309499018806671, 2018.
Article in English | MEDLINE | ID: mdl-30343651

ABSTRACT

PURPOSE: Allograft infection remains the greatest challenge in orthopaedic reconstructive surgery especially methicillin-resistant Staphylococcus aureus (MRSA). This risk can be minimized with the use of antibiotic laden allograft (ALA) via iontophoresis. Ceftaroline fosamil (CF) is an advanced-generation cephalosporin, an alternative treatment for MRSA infections. Its antibacterial activity and safety profile are better than vancomycin. CF iontophoresed bone has not been used before. This study was conducted to establish the feasibility of creating a CF ALA and establish the prime conditions for its expenditure. METHOD: We created an iontophoresis cell; 3% CF was inserted within medullary segment of goat bone and sealed from external saline solution. The cell operated at the following voltages 30, 60 and 90 V and at the following durations 5, 10, 15, 20, 25 and 30 min. Information regarding optimal conditions for its application was then obtained. After which, correlation between voltages and time with CF concentration in the bone was analysed. A bioavailability test was also conducted to observe the optimal rate of CF elution from the graft. RESULT: The optimal condition for the impregnation process is 3% CF at 90 V for 10 min. Bone graft impregnated with CF at optimal conditions can elute above minimum inhibitory concentration of the CF against MRSA for 21 days. CONCLUSION: CF iontophoresis was found feasible for allograft impregnation. The technique is simple, inexpensive and reproducible clinically. Iontophoresis offers a novel solution to reduce the rate of perioperative infection in reconstructive surgery involving use of bone graft.


Subject(s)
Bone Transplantation/adverse effects , Cephalosporins/therapeutic use , Prosthesis-Related Infections/prevention & control , Staphylococcal Infections/prevention & control , Tibia/transplantation , Allografts , Animals , Anti-Bacterial Agents/therapeutic use , Disease Models, Animal , Goats , Humans , Iontophoresis , Methicillin-Resistant Staphylococcus aureus/isolation & purification , Prosthesis-Related Infections/epidemiology , Sheep , Staphylococcal Infections/epidemiology , Tibia/drug effects , Ceftaroline
2.
J Mol Diagn ; 9(5): 624-30, 2007 Nov.
Article in English | MEDLINE | ID: mdl-17975028

ABSTRACT

The use of pathogen genome sequence data for the control and management of infections remains an ongoing challenge. We describe a broadly applicable, web-enabled approach that can be used to develop bacteria-specific polymerase chain reaction (PCR) assays. Salmonella enterica Paratyphi A has emerged as a major cause of enteric fever in Asia. Culture-based diagnosis is slow and frequently negative in patients with suspected typhoid and paratyphoid fever, potentially compromising patient management and public health. We used the MobilomeFINDER web-server to perform in silico subtractive hybridization, thus identifying 43 protein-coding sequences (CDSs) that were present in two Paratyphi A strains but not in other sequenced Salmonella genomes. After exclusion of 29 CDSs found to be variably present in Paratyphi A strains by microarray hybridization and grouping of remaining CDSs by genomic location, four dispersed targets (stkF, spa2473, spa2539, hsdM) were used to develop a highly discriminatory multiplex PCR assay. All 52 Paratyphi A strains within the diverse panel investigated produced one of two pathognomonic four-band signatures. Given rapid and ongoing expansion of DNA and comparative genomics databases, our universally accessible web-server-supported do-it-yourself approach offers the potential to contribute significantly to the rapid development of species-, serovar-, or pathotype-specific PCR assays targeting pre-existing and emerging bacterial pathogens.


Subject(s)
Genomics/methods , Polymerase Chain Reaction/methods , Salmonella paratyphi A/genetics , Salmonella paratyphi A/isolation & purification , Base Sequence , Genes, Bacterial , Molecular Sequence Data , Polymorphism, Genetic
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