scholarly journals Breathing new life into old antibiotics: overcoming antibacterial resistance by antibiotic-loaded nanogel carriers with cationic surface functionality

Nanoscale ◽  
2019 ◽  
Vol 11 (21) ◽  
pp. 10472-10485 ◽  
Author(s):  
Paul J. Weldrick ◽  
Sammi Iveson ◽  
Matthew J. Hardman ◽  
Vesselin N. Paunov

We demonstrate that nanogel carriers for tetracycline and lincomycin coated with a biocompatible cationic polyelectrolyte can overcome the antibiotic resistance against a range of wound isolated pathogens.

2018 ◽  
Vol 57 (2) ◽  
Author(s):  
Qun Yan ◽  
Yu Mi Wi ◽  
Matthew J. Thoendel ◽  
Yash S. Raval ◽  
Kerryl E. Greenwood-Quaintance ◽  
...  

ABSTRACT We previously demonstrated that shotgun metagenomic sequencing can detect bacteria in sonicate fluid, providing a diagnosis of prosthetic joint infection (PJI). A limitation of the approach that we used is that data analysis was time-consuming and specialized bioinformatics expertise was required, both of which are barriers to routine clinical use. Fortunately, automated commercial analytic platforms that can interpret shotgun metagenomic data are emerging. In this study, we evaluated the CosmosID bioinformatics platform using shotgun metagenomic sequencing data derived from 408 sonicate fluid samples from our prior study with the goal of evaluating the platform vis-à-vis bacterial detection and antibiotic resistance gene detection for predicting staphylococcal antibacterial susceptibility. Samples were divided into a derivation set and a validation set, each consisting of 204 samples; results from the derivation set were used to establish cutoffs, which were then tested in the validation set for identifying pathogens and predicting staphylococcal antibacterial resistance. Metagenomic analysis detected bacteria in 94.8% (109/115) of sonicate fluid culture-positive PJIs and 37.8% (37/98) of sonicate fluid culture-negative PJIs. Metagenomic analysis showed sensitivities ranging from 65.7 to 85.0% for predicting staphylococcal antibacterial resistance. In conclusion, the CosmosID platform has the potential to provide fast, reliable bacterial detection and identification from metagenomic shotgun sequencing data derived from sonicate fluid for the diagnosis of PJI. Strategies for metagenomic detection of antibiotic resistance genes for predicting staphylococcal antibacterial resistance need further development.


PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0232382
Author(s):  
Aftab Qamar ◽  
Tariq Ismail ◽  
Saeed Akhtar

Present study aimed at investigating the magnitude of the prevalence and antibiotic resistance among four Salmonella spp. i.e., S. typhi, S. paratyphi A, S. paratyphi B and S. typhimurium. Raw milk and environment samples were collected from the five districts of southern part of the province of Punjab in Pakistan i.e., Multan, Bahawalpur, Lodhran, Dera Ghazi Khan and Muzaffargarh. Extent of antibiotic resistance was also determined and classified as resistant, intermediate and susceptible. District–wise prevalence data on Salmonella spp. in milk and environmental samples indicated higher S. typhi, S. paratyphi B and S. typhimurium count in Bahawalpur, D.G. Khan and Muzaffargarh districts, respectively. Amongst 13 tested antibiotics, chloramphenicol and ofloxacin were found to be the most susceptible against Salmonella spp. Increased emergence of antibacterial resistance was noted with respect to the type of antibiotics among Salmonella spp. isolates. The study suggests serious interventions to be practiced by the farmers and raw milk vendors in animal husbandry and milk marketing, respectively to curb the burden of Salmonella spp. prevalence in milk. Further, active engagement of animal health division and enforcement agencies to ensure sagacious use of antibiotics at farm level may also help in containment of antimicrobial resistance in Salmonella spp.


2020 ◽  
Author(s):  
Tariq Ismail ◽  
Aftab Qamar ◽  

Present study aimed at investigating the magnitude of the prevalence and antibiotic resistance among four Salmonella spp. i.e. S. typhi , S. paratyphi A, S. paratyphi B and S. typhimurium, present in raw milk and environment samples from five districts of southern part of the Province of Punjab in Pakistan i.e. Multan , Bahawalpur, Lodhran, Dera Ghazi Khan and Muzaffargarh. A total of 3000 raw milk and environment samples were collected from these sites and analyzed for detection and confirmation of Salmonella spp. Extent of antibiotic resistance was also determined and classified as resistant, intermediate and susceptible. S. typhimurium was found to be more prevalent in Multan region as compared to other districts. Increased emergence of antibacterial resistance among Salmonella spp. from raw milk samples was noted. Amongst 13 tested antibiotics, chloramphenicol and ofloxacin were found to be the most susceptible against Salmonella spp. Present study suggested serious interventions by relevant government agencies to ensure best practices in animal husbandry at farm level and sagacious use of antibiotics for the containment of antimicrobial resistance in Salmonella spp.


2017 ◽  
Vol 5 (38) ◽  
pp. 7885-7897 ◽  
Author(s):  
Mohammed J. Al-Awady ◽  
Adelaide Fauchet ◽  
Gillian M. Greenway ◽  
Vesselin N. Paunov

We demonstrate a strong enhancement in the antimicrobial and antifungal action of berberine encapsulated in nanogel carriers whose surface is functionalised with a cationic polyelectrolyte. The effect comes from the electrostatic adhesion of the cationic nanocarriers on the cell wall.


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