School of Pharmaceutical Sciences of Ribeirao Preto- University of Sao Paulo, Ribeirao Preto, Brazil.
Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.
J Glob Antimicrob Resist. 2023 Jun;33:109-113. doi: 10.1016/j.jgar.2023.03.004. Epub 2023 Mar 21.
This study aimed to identify antimicrobial resistance genotypes in 63 Campylobacter coli strains isolated from humans (12), animals (21), the environment (20), and food (10) in Brazil using whole genome sequencing (WGS) tools, comparing them with results obtained by antimicrobial susceptibility testing (AST) against some important antimicrobials in clinical use.
Phenotypic resistance profiles were determined by minimal inhibitory concentrations and the disk diffusion technique. The prediction of the resistance genes was performed using ABRicate v.0.8 and the Resistance Gene Identifier software of the CARD.
The percentage of C. coli strains phenotypically resistant to antimicrobials were: ampicillin, 44.4%; doxycycline, 20.6%; tetracycline, 20.6%; ciprofloxacin, 12.7%; nalidixic acid, 12.7%; streptomycin, 6.3%; erythromycin, 4.8%; and gentamicin, 1.6%. The genes bla / blatet(O), cmeB, aadE-Cc, aph (3 ') - IIIa, sat4 and aad9 were detected in 54%, 22.2%, 9.5%,6.3%, 1.6%, 1.6%, and 1.6% strains, respectively. Mutations T86I in the QRDR region of gyrA were detected in 8 (12.7%) strains. The agreement between AST and WGS was 100%, 92.9%, 82.4%, and 80% for quinolones, tetracycline, β-lactam, and aminoglycoside classes, respectively.
The rates of C. coli strains resistant to β- lactams and quinolones may represent a public health concern. The partial agreement between AST and WGS shows that improvement in antibiotic resistance databases may be required to minimize this discrepancy observed in some antimicrobial classes and to become an acceptable tool to both clinical microbiologists and regulatory agencies.
本研究旨在使用全基因组测序（WGS）工具，对从巴西的人类（12 例）、动物（21 例）、环境（20 例）和食品（10 例）中分离的 63 株大肠弯曲菌的抗菌药物耐药基因型进行鉴定，并将其与某些临床常用抗菌药物的药敏试验（AST）结果进行比较。
采用微量肉汤稀释法和纸片扩散法测定表型耐药谱。使用 ABRicate v.0.8 和 CARD 中的 Resistance Gene Identifier 软件预测耐药基因。
C. coli 菌株对以下抗菌药物的表型耐药率分别为：氨苄西林，44.4%；强力霉素，20.6%；四环素，20.6%；环丙沙星，12.7%；萘啶酸，12.7%；链霉素，6.3%；红霉素，4.8%；和庆大霉素，1.6%。在 54%、22.2%、9.5%、6.3%、1.6%、1.6%和 1.6%的菌株中分别检测到 bla/blatet(O)、cmeB、aadE-Cc、aph(3')-IIIa、sat4 和 aad9 基因。在 8 株（12.7%）菌株中检测到 gyrA 基因 QRDR 区的 T86I 突变。AST 与 WGS 的一致性分别为 100%、92.9%、82.4%和 80%，适用于喹诺酮类、四环素类、β-内酰胺类和氨基糖苷类药物。
C. coli 菌株对β-内酰胺类和喹诺酮类药物的耐药率可能引起公共卫生关注。AST 与 WGS 之间的部分一致性表明，可能需要改进抗生素耐药数据库，以尽量减少某些抗菌药物类别中观察到的这种差异，并成为临床微生物学家和监管机构都可以接受的工具。
