Genome analyses of colistin-resistant high-risk bla NDM-5 producing Klebsiella pneumoniae ST147 and Pseudomonas aeruginosa ST235 and ST357 in clinical settings

被引:2
|
作者
Talat, Absar [1 ]
Khan, Fatima [2 ]
Khan, Asad U. [1 ]
机构
[1] Aligarh Muslim Univ, Interdisciplinary Biotechnol Unit, Med Microbiol & Mol Biol Lab, Aligarh 202002, India
[2] Aligarh Muslim Univ, JNMC & Hosp, Microbiol Dept, Aligarh 202002, India
来源
BMC MICROBIOLOGY | 2024年 / 24卷 / 01期
关键词
Colistin; Antimicrobial resistance; Klebsiella pneumoniae; Pseudomonas aeruginosa; blaNDM; Antibiotic resistance; SEQUENCE-ANALYSIS; ESCHERICHIA-COLI; BETA-LACTAMASE; DISSEMINATION; OUTBREAK; GENES; PREVALENCE; MUTATIONS; EXPANSION; BACTERIA;
D O I
10.1186/s12866-024-03306-4
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Background Colistin is a last-resort antibiotic used in extreme cases of multi-drug resistant (MDR) Gram-negative bacterial infections. Colistin resistance has increased in recent years and often goes undetected due to the inefficiency of predominantly used standard antibiotic susceptibility tests (AST). To address this challenge, we aimed to detect the prevalence of colistin resistance strains through both Vitek (R) 2 and broth micro-dilution. We investigated 1748 blood, tracheal aspirate, and pleural fluid samples from the Intensive Care Unit (ICU), Neonatal Intensive Care Unit (NICU), and Tuberculosis and Respiratory Disease centre (TBRD) in an India hospital. Whole-genome sequencing (WGS) of extremely drug-resitant (XDR) and pan-drug resistant (PDR) strains revealed the resistance mechanisms through the Resistance Gene Identifier (RGI.v6.0.0) and Snippy.v4.6.0. Abricate.v1.0.1, PlasmidFinder.v2.1, MobileElementFinder.v1.0.3 etc. detected virulence factors, and mobile genetic elements associated to uncover the pathogenecity and the role of horizontal gene transfer (HGT). Results This study reveals compelling insights into colistin resistance among global high-risk clinical isolates: Klebsiella pneumoniae ST147 (16/20), Pseudomonas aeruginosa ST235 (3/20), and ST357 (1/20). Vitek (R) 2 found 6 colistin-resistant strains (minimum inhibitory concentrations, MIC = 4 mu g/mL), while broth microdilution identified 48 (MIC = 32-128 mu g/mL), adhering to CLSI guidelines. Despite the absence of mobile colistin resistance (mcr) genes, mechanisms underlying colistin resistance included mgrB deletion, phosphoethanolamine transferases arnT, eptB, ompA, and mutations in pmrB (T246A, R256G) and eptA (V50L, A135P, I138V, C27F) in K. pneumoniae. P. aeruginosa harbored phosphoethanolamine transferases basS/pmrb, basR, arnA, cprR, cprS, alongside pmrB (G362S), and parS (H398R) mutations. Both strains carried diverse clinically relevant antimicrobial resistance genes (ARGs), including plasmid-mediated bla(NDM-5) (K. pneumoniae ST147) and chromosomally mediated bla(NDM-1) (P. aeruginosa ST357). Conclusion The global surge in MDR, XDR and PDR bacteria necessitates last-resort antibiotics such as colistin. However, escalating resistance, particularly to colistin, presents a critical challenge. Inefficient colistin resistance detection methods, including Vitek2, alongside limited surveillance resources, accentuate the need for improved strategies. Whole-genome sequencing revealed alarming colistin resistance among K. pneumoniae and P. aeruginosa in an Indian hospital. The identification of XDR and PDR strains underscores urgency for enhanced surveillance and infection control. SNP analysis elucidated resistance mechanisms, highlighting the complexity of combatting resistance.
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