Molecular epidemiology of Pseudomonas aeruginosa isolated from infected ICU patients: a French multicenter 2012–2013 study

Slekovec, C.; Robert, Jérôme; Mee-Marquet, Nathalie van der; Berthelot, Philippe; Rogues, Anne-Marie; Derouin, Véronique; Cholley, Pascal; Thouverez, Michelle; Hocquet, Didier; Bertrand, Xavier

doi:10.1007/s10096-019-03519-w

Cited by 19 publications

(11 citation statements)

References 21 publications

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“…For epidemiological surveillance of P. aeruginosa in drinking water, molecular typing methods have the advantage of discriminatory ability and stability (Mena and Gerba, 2009). In recent studies, multilocus sequence typing (MLST), pulsed field gel electrophoresis (PFGE), enterobacterial repetitive intergenic consensus-polymerase chain reaction, and random-amplified polymorphic DNA have been conducted for tracing sources of P. aeruginosa (Wu et al, 2016;Bel Hadj Ahmed et al, 2019;Slekovec et al, 2019). Among these molecular typing methods, MLST and PFGE have the highest reproducibility and discriminatory ability for typing of P. aeruginosa isolates (De Cesare et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Prevalence, Virulence, Antimicrobial Resistance, and Molecular Characterization of Pseudomonas aeruginosa Isolates From Drinking Water in China

Lei

Zhang

et al. 2020

Front. Microbiol.

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Pseudomonas aeruginosa is an important opportunistic pathogen and remains a major threat to the microbial safety of drinking water. There is a lack of comprehensive data on P. aeruginosa contamination in drinking water in China. Therefore, this study aimed to determine the prevalence, genetic diversity, virulence genes, and antimicrobial resistance of P. aeruginosa isolated from mineral water and spring water in China. From January 2013 to January 2014, 314 drinking water samples were collected from 23 cities in China. Of the collected samples, 77 (24.5%) were contaminated with P. aeruginosa, and these comprised 34 raw water (30.4%), 39 activated carbon-filtered water (30.6%), and four final water product (3.9%). A total of 132 P. aeruginosa isolates were obtained, and all of them showed the presence of virulence genes, with the detection rates of ExoU, ExoS, phzM, toxA, and lasB genes being 7.6, 86.3, 95.5, 89.4, and 100%, respectively. All isolates were sensitive to the 14 antibiotics (ciprofloxacin, levofloxacin, ofloxacin, norfloxacin, gentamicin, tobramycin, amikacin, polymyxin B, imipenem, meropenem, aztreonam, ceftazidime, cefepime, and piperacillin/tazobactam) tested. The 132 isolates were categorized into 42 sequence types according to multilocus sequence typing, and ST235 accounted for 8.3% (11) of the total isolates. Thus, this study provides comprehensive data on the prevalence and characteristics of P. aeruginosa in drinking water in China and can aid in developing preventive measures against contamination during the drinking water treatment process.

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Section: Introductionmentioning

confidence: 99%

Prevalence, Virulence, Antimicrobial Resistance, and Molecular Characterization of Pseudomonas aeruginosa Isolates From Drinking Water in China

Lei

Zhang

et al. 2020

Front. Microbiol.

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“…We postulate that there is likely an unknown persistent environme nta l reservoir sustaining the continued dissemination and transmission of the clone within the hospital environment. Comparative genomic studies performed for ST308 outbreaks have demonstrated high relatedness between clinical and environmental strains, particularly those from the hospitals' waste-water systems and washing basins [13,[51][52][53]. Continued surveillance of ST308 P. aeruginosa is critical, as previous studies have demonstrated the difficulties in eradicating P. aeruginosa in the hospital environment in spite of stringe nt infection control and cleaning measures, leading to sustained outbreaks [52,54].…”

Section: Discussionmentioning

confidence: 99%

Genomic characterization of carbapenem-non-susceptible Pseudomonas aeruginosa in Singapore

Teo

Tang

Lim

et al. 2021

Emerging Microbes & Infections

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Genomic Characterisation of Carbapenem Non-susceptible Pseudomonas aeruginosa in SingaporePseudomonas aeruginosa is a clinically important pathogen implicated in many hospitalacquired infections. Its propensity to acquire broad-spectrum resistance has earned the organism its status as a severe public health threat requiring urgent control measures.While whole genome sequencing-based genomic surveillance provides a mean to track antimicrobial resistance, its use in molecular epidemiological surveys of Pseudomonas aeruginosa remains limited, especially in the Southeast Asian region. We sequenced the whole genomes of 222 carbapenem non-susceptible P. aeruginosa (CNPA) isolates collected in 2006-2020 at the largest public acute care hospital in Singapore . Antimicrobial susceptibilities were determined using broth microdilution. Clonal relatedness, multi-locus sequence types and antimicrobial resistance determina nts (acquired and chromosomal) were determined. In this study, CNPA exhibited broadspectrum resistance (87.8% multi-drug resistance), retaining susceptibility only to polymyxin B (95.0%) and amikacin (55.0%). Carbapenemases were detected in 51.4% of the isolates, where IMP and NDM metallo-β-lactamases were the most frequent.Carbapenem resistance was also likely associated with OprD alterations or efflux mechanisms (ArmZ/NalD mutations), which occurred in strains with or without carbapenemases. The population of CNPA in the hospital was diverse; the 222 isolates grouped into 68 sequence types (ST), which includes various high-risk clones. We detected an emerging clone, the NDM-1-producing ST308, in addition to the global highrisk ST235 clone which was the predominant clone in our population. Our results thus provide a "snapshot" of the circulating lineages of CNPA locally and the prevailing 4 genetic mechanisms contributing to carbapenem resistance. This database also serves as the baseline for future prospective surveillance studies.

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“…Indeed, despite a non-clonal epidemic population structure, numerous studies have demonstrated the global dissemination and frequent involvement of multi-antibiotic resistant clones of Pa , called epidemic high risk (EHR) clones, in the occurrence of epidemics especially within hospitals [ 13 , 19 ]. The classification of Pa isolates, as EHR or non-EHR, is based on two essential characteristics: The grouping of EHR isolates within a limited number of genotypes such as ST253, ST308, ST395, ST235, ST175, ST111, and ST244 [ 20 ]. The over-representation of EHR isolates among the MDR profiles.…”

Section: Introductionmentioning

confidence: 99%

“…The grouping of EHR isolates within a limited number of genotypes such as ST253, ST308, ST395, ST235, ST175, ST111, and ST244 [ 20 ].…”

Section: Introductionmentioning

confidence: 99%

“…However, it is interesting to keep in mind that some EHRs, such as ST308 or ST395 isolates, for example, can respond to both wild-type and MDR profiles [ 20 ]. This suggests that an essential characteristic of EHR clones, beyond their major capacity to resist antibiotics, would be the ability to acquire antimicrobial resistance determinants in case of high pressure or virulence traits facilitating their survival, establishment, and ultimately their dissemination in the hospital environment.…”

Section: Introductionmentioning

confidence: 99%

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From Copper Tolerance to Resistance in Pseudomonas aeruginosa towards Patho-Adaptation and Hospital Success

Virieux-Petit

Hammer-Dedet

Aujoulat

et al. 2022

Genes

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The hospital environment constitutes a reservoir of opportunistic pathogens responsible for healthcare-associated infections (HCAI) such as Pseudomonas aeruginosa (Pa). Pa persistence within technological niches, the increasing emergence of epidemic high-risk clones in HCAI, the epidemiological link between plumbing strains and clinical strains, make it a major nosocomial pathogen. Therefore, understanding the mechanisms of Pa adaptation to hospital water systems would be useful in preventing HCAI. This review deciphers how copper resistance contributes to Pa adaptation and persistence in a hospital environment, especially within copper water systems, and ultimately to its success as a causative agent of HCAI. Numerous factors are involved in copper homeostasis in Pa, among which active efflux conferring copper tolerance, and copper-binding proteins regulating the copper compartmentalization between periplasm and cytoplasm. The functional harmony of copper homeostasis is regulated by several transcriptional regulators. The genomic island GI-7 appeared as especially responsible for the copper resistance in Pa. Mechanisms of copper and antibiotic cross-resistance and co-resistance are also identified, with potential co-regulation processes between them. Finally, copper resistance of Pa confers selective advantages in colonizing and persisting in hospital environments but also appears as an asset at the host/pathogen interface that helps in HCAI occurrence.

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Molecular epidemiology of Pseudomonas aeruginosa isolated from infected ICU patients: a French multicenter 2012–2013 study

Cited by 19 publications

References 21 publications

Prevalence, Virulence, Antimicrobial Resistance, and Molecular Characterization of Pseudomonas aeruginosa Isolates From Drinking Water in China

Prevalence, Virulence, Antimicrobial Resistance, and Molecular Characterization of Pseudomonas aeruginosa Isolates From Drinking Water in China

Genomic characterization of carbapenem-non-susceptible Pseudomonas aeruginosa in Singapore

From Copper Tolerance to Resistance in Pseudomonas aeruginosa towards Patho-Adaptation and Hospital Success

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