Yu Xiao, Zheng Beiwen, Xiao Feng, Jin Ye, Guo Lihua, Xu Hao, Luo Qixia, Xiao Yonghong
State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, People's Republic of China.
Neurosurgery Department, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, People's Republic of China.
Infect Drug Resist. 2020 Jun 30;13:2017-2026. doi: 10.2147/IDR.S254141. eCollection 2020.
Bacteria undergo adaptive mutation in the host. However, the specific effect of antimicrobial use on bacterial evolution and genome mutations related to bacterial survival within a patient is unclear.
Three strains were sequentially isolated from cerebrospinal fluid of a clinical inpatient. Antimicrobial susceptibility, growth rate, biofilm formation and whole blood survival of these strains were measured. Relative fitness was calculated. The virulence was examined in the model. Whole-genome sequencing and in silico analysis were performed to explore the genetic mechanisms of the changes in antimicrobial resistance phenotype. Hypothetical proteins are cloned, expressed and characterized by detection the susceptibility to gentamycin.
The first isolate was susceptible to rifampin (MIC=0.25 μg/mL), resistant to gentamicin (MIC=16 μg/mL), while the later two isolates were resistant to rifampin (MIC >64 μg/mL), susceptible to gentamicin (MIC=4 μg/mL). For the latter two strains, compared to the first, frameshift mutation in a hypothetical protein encoding gene and base substitutions (in genes s and ) were discovered. The mutation of gene caused rifampicin resistance. Mutations in and gene are associated with changes in other biological traits. Amino acid sequence-based structure and function identification of the hypothetical protein indicated that a mutation in the encoding gene might be associated with altered aminoglycoside susceptibility. Growth curve showed that the later two isolates grew faster than the first isolate with a positive fitness advantage of 13.5%, and 14.8%, accordingly. Biofilm form ability and whole blood survival of the derivative mutants were also enhanced. No significant differences of virulence in the model were observed.
We report here for the first time that short-term clinical antibiotic use was associated with resistance mutations, collateral sensitivity, and positive in vivo fitness advantages to during infection.
细菌在宿主体内会发生适应性突变。然而,抗菌药物的使用对细菌进化以及与患者体内细菌存活相关的基因组突变的具体影响尚不清楚。
从一名临床住院患者的脑脊液中依次分离出三株菌株。测定了这些菌株的抗菌药物敏感性、生长速率、生物膜形成能力和在全血中的存活能力。计算了相对适合度。在模型中检测了毒力。进行全基因组测序和计算机分析以探索抗菌药物耐药表型变化的遗传机制。对假定蛋白进行克隆、表达,并通过检测对庆大霉素的敏感性进行表征。
第一株分离菌对利福平敏感(MIC = 0.25μg/mL),对庆大霉素耐药(MIC = 16μg/mL),而后两株分离菌对利福平耐药(MIC > 64μg/mL),对庆大霉素敏感(MIC = 4μg/mL)。对于后两株菌株,与第一株相比,发现一个假定蛋白编码基因发生移码突变以及碱基替换(在基因s和 中)。基因 的突变导致利福平耐药。基因 和 中的突变与其他生物学性状的变化有关。基于氨基酸序列的假定蛋白结构和功能鉴定表明,编码基因中的突变可能与氨基糖苷类药物敏感性改变有关。生长曲线显示,后两株分离菌的生长速度比第一株分离菌快,相对适合度优势分别为13.5%和14.8%。衍生突变体的生物膜形成能力和在全血中的存活能力也增强。在模型中未观察到毒力有显著差异。
我们首次在此报告,短期临床使用抗生素与感染期间对 的耐药突变、协同敏感性和体内正适合度优势有关。