Pooling isolates to address the diversity in antimicrobial susceptibility of Pseudomonas aeruginosa in cystic fibrosis

MICROBIOLOGY SPECTRUM(2023)

引用 0|浏览0
暂无评分
摘要
The intrasample diversity in antibiotic resistance of Pseudomonas aeruginosa in people with cystic fibrosis (pwCF) may contribute to the low predictive value of antibiotic susceptibility testing (AST). Since often only few isolates per AST are included, a possible solution to decrease the diversity is pooling isolates, yet a comprehensive study on this approach is lacking. This study aims to characterize the intrasample diversity in antibiotic resistance of P. aeruginosa and to assess if pooling isolates could lower diversity. In 15 pwCF, 30 P. aeruginosa isolates were collected per patient sputum sample, and the minimal inhibitory concentration (MIC) was determined for three antibiotics commonly used to treat cystic fibrosis patients to evaluate intrasample diversity. Next, the minimal number of isolates necessary to be pooled for a consistent MIC was determined. Finally, we assessed if the MIC result of pooled versus single isolates could influence clinical interpretation. Intrasample MIC diversity was observed in most samples, with the highest frequencies for aztreonam and ceftazidime. Pooling isolates decreased diversity, and for each sputum sample, a consistent MIC was obtained after pooling two to nine isolates. The minimal number of pooled isolates for consistent MIC positively correlated with MIC diversity in single isolate testing. MIC diversity and categorical disagreement were correlated, and the level of categorical disagreement decreased in most samples when pooling nine isolates. Also, pooling isolates did not decrease the frequency of resistance detection in most samples. In conclusion, intrasample MIC diversity clearly impacts AST outcome for P. aeruginosa in pwCF, and pooling isolates is a promising approach to lower diversity.
更多
查看译文
关键词
antibiotic susceptibility testing,Pseudomonas aeruginosa,diversity,minimal inhibitory concentration,pooling isolates,cystic fibrosis
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要