Genotypes, carbapenemase carriage, integron diversity and oprD alterations among carbapenem-resistant Pseudomonas aeruginosa from Russia

Direct prediction of carbapenem resistance in Pseudomonas aeruginosa by whole genome sequencing and metagenomic sequencing

Carbapenem resistance is a major concern in the management of antibiotic-resistant Pseudomonas aeruginosa infections. The direct prediction of carbapenem-resistant phenotype from genotype in P. aeruginosa isolates and clinical samples would promote timely antibiotic therapy. The complex carbapenem resistance mechanism and the high prevalence of variant-driven carbapenem resistance in P. aeruginosa make it challenging to predict the carbapenem-resistant phenotype through the genotype. In this study, using whole genome sequencing (WGS) data of 1,622 P. aeruginosa isolates followed by machine learning, we screened 16 and 31 key gene features associated with imipenem (IPM) and meropenem (MEM) resistance in P. aeruginosa, including oprD(HIGH), and constructed the resistance prediction models. The areas under the curves of the IPM and MEM resistance prediction models were 0.906 and 0.925, respectively. For the direct prediction of carbapenem resistance in P. aeruginosa from clinical samples by the key gene features selected and prediction models constructed, 72 P. aeruginosa-positive sputum samples were collected and sequenced by metagenomic sequencing (MGS) based on next-generation sequencing (NGS) or Oxford Nanopore Technology (ONT). The prediction applicability of MGS based on NGS outperformed that of MGS based on ONT. In 72 P. aeruginosa-positive sputum samples, 65.0% (26/40) of IPM-insensitive and 63.2% (24/38) of MEM-insensitive P. aeruginosa were directly predicted by NGS-based MGS with positive predictive values of 0.897 and 0.889, respectively. By the direct detection of the key gene features associated with carbapenem resistance of P. aeruginosa, the carbapenem resistance of P. aeruginosa could be directly predicted from cultured isolates by WGS or from clinical samples by NGS-based MGS, which could assist the timely treatment and surveillance of carbapenem-resistant P. aeruginosa.

Prioritization of Critical Factors for Surveillance of the Dissemination of Antibiotic Resistance in Pseudomonas aeruginosa: A Systematic Review

Pseudomonas aeruginosa is the primary opportunistic human pathogen responsible for a range of acute and chronic infections; it poses a significant threat to immunocompromised patients and is the leading cause of morbidity and mortality for nosocomial infections. Its high resistance to a diverse array of antimicrobial agents presents an urgent health concern. Among the mechanisms contributing to resistance in P. aeruginosa, the horizontal acquisition of antibiotic resistance genes (ARGs) via mobile genetic elements (MGEs) has gained recognition as a substantial concern in clinical settings, thus indicating that a comprehensive understanding of ARG dissemination within the species is strongly required for surveillance. Here, two approaches, including a systematic literature analysis and a genome database survey, were employed to gain insights into ARG dissemination. The genome database enabled scrutinizing of all the available sequence information and various attributes of P. aeruginosa isolates, thus providing an extensive understanding of ARG dissemination within the species. By integrating both approaches, with a primary focus on the genome database survey, mobile ARGs that were linked or correlated with MGEs, important sequence types (STs) carrying diverse ARGs, and MGEs responsible for ARG dissemination were identified as critical factors requiring strict surveillance. Although human isolates play a primary role in dissemination, the importance of animal and environmental isolates has also been suggested. In this study, 25 critical mobile ARGs, 45 critical STs, and associated MGEs involved in ARG dissemination within the species, are suggested as critical factors. Surveillance and management of these prioritized factors across the One Health sectors are essential to mitigate the emergence of multidrug-resistant (MDR) and extensively resistant (XDR) P. aeruginosa in clinical settings.

Molecular characterization of class 1 integrons in carbapenem-resistant Enterobacterales isolates

OBJECTIVE

Carbapenem-resistant Enterobacterales (CRE) infections result in higher treatment costs and mortality rates. Integrons play important roles in emergence and spread of antibiotic resistant genes. To get a better understand on the effects of integron on CRE resistance, distribution of common carbapenemase genes and class 1 integron in clinical CRE isolates were investigated.

METHOD

Carbapenemase genes, including bla_KPC, bla_VIM, bla_IMP, bla_NDM, bla_GES, bla_VEB and bla_OXA-23, were screened in 161 CRE isolates and subtypes of these genes were confirmed through sequence analysis. Class 1 integron was screened and common promoter and gene cassette arrays were determined by sequencing. The resistant rates to clinical commonly used antibiotics between integron positive and integron negative CRE isolates were compared.

RESULTS

Of 161 CRE isolates, the most prevalent carbapenemase gene was bla_KPC-2, which was detected in 139 isolates, including 99 Klebsiella pneumoniae. Class 1 integron was detected in 78 isolates. Twenty different gene cassettes, including two carbapenemase genes bla_VEB-1 and bla_IMP-4, and nine different gene cassette arrays, including bla_VEB-1-aadB-arr-2-cmlA5-bla_OXA-10-aadA1, aadB-catB8-bla_OXA-10-aadA1-dfrA1-aacA4 and bla_IMP-4-qacG-aacA4-catB3, were detected. Five types of common promoters were identified. Relative weak promoter PcH1 was the dominant type. Resistant rates of CRE isolates containing class 1 integrons to ceftazidime, amikacin, trimethoprim/sulfamethoxazole and gentamicin were higher than those without class 1 integrons (P < 0.05).

CONCLUSION

Class 1 integrons play important roles in the emergence and spread of CRE resistance. To the best of our knowledge, this is the first report of aadB-catB8-bla_OXA-10-aadA1-dfrA1-aacA4 and bla_IMP-4-qacG-aacA4-catB3 in the same Providencia rettgeri isolate and bla_VEB-1-aadB-arr-2-cmlA5-bla_OXA-10-aadA1 in P. rettgeri.

PorinPredict: In Silico Identification of OprD Loss from WGS Data for Improved Genotype-Phenotype Predictions of P. aeruginosa Carbapenem Resistance

The increasing integration of genomics into routine clinical diagnostics requires reliable computational tools to identify determinants of antimicrobial resistance (AMR) from whole-genome sequencing data. Here, we developed PorinPredict, a bioinformatic tool that predicts defects of the Pseudomonas aeruginosa outer membrane porin OprD, which are strongly associated with reduced carbapenem susceptibility. PorinPredict relies on a database of intact OprD variants and reports inactivating mutations in the coding or promoter region. PorinPredict was validated against 987 carbapenemase-negative P. aeruginosa genomes, of which OprD loss was predicted for 454 out of 522 (87.0%) meropenem-nonsusceptible and 46 out of 465 (9.9%) meropenem-susceptible isolates. OprD loss was also found to be common among carbapenemase-producing isolates, resulting in even further increased MICs. Chromosomal mutations in quinolone resistance-determining regions and OprD loss commonly co-occurred, likely reflecting the restricted use of carbapenems for multidrug-resistant infections as recommended in antimicrobial stewardship programs. In combination with available AMR gene detection tools, PorinPredict provides a robust and standardized approach to link P. aeruginosa phenotypes to genotypes. IMPORTANCE Pseudomonas aeruginosa is a major cause of multidrug-resistant nosocomial infections. The emergence and spread of clones exhibiting resistance to carbapenems, a class of critical last-line antibiotics, is therefore closely monitored. Carbapenem resistance is frequently mediated by chromosomal mutations that lead to a defective outer membrane porin OprD. Here, we determined the genetic diversity of OprD variants across the P. aeruginosa population and developed PorinPredict, a bioinformatic tool that enables the prediction of OprD loss from whole-genome sequencing data. We show a high correlation between predicted OprD loss and meropenem nonsusceptibility irrespective of the presence of carbapenemases, which are a second widespread determinant of carbapenem resistance. Isolates with resistance determinants to other antibiotics were disproportionally affected by OprD loss, possibly due to an increased exposure to carbapenems. Integration of PorinPredict into genomic surveillance platforms will facilitate a better understanding of the clinical impact of OprD modifications and transmission dynamics of resistant clones.

Dissemination of Metallo-β-Lactamase-Producing Pseudomonas aeruginosa in Serbian Hospital Settings: Expansion of ST235 and ST654 Clones

This nationwide study aimed to investigate the molecular characteristics of metallo-β-lactamase (MBL)-producing Pseudomonas aeruginosa in Serbia, underlying resistance mechanisms, the genetic context of detected MBL genes, and the clonal relationship between isolates harboring genes-encoding MBL. Overall, 320/5334 isolates collected from 2018 to 2021 were identified as P. aeruginosa. Carbapenem-resistant P. aeruginosa (CRPA) were screened for the presence of bla_VIM, bla_IMP, and bla_NDM, genes whereas MBL-positive isolates were tested for the presence of the bla_CTX-M-2, bla_PER, bla_TEM, bla_SHV, bla_VEB, and bla_GES. Multilocus sequence typing and phylogenomic analysis were performed for P. aeruginosa-producing MBL. The majority of the P. aeruginosa isolates were recovered from the lower respiratory tract (n = 120; 37.5%) and wound specimens (n = 108; 33.75%). CRPA isolates accounted for 43.1% (n = 138) of the tested isolates, 31 out of them being bla_NDM-1-positive (22.5%). The colistin resistance rate was 0.3%. MLST analysis revealed the occurrence of ST235 (n = 25) and ST654 (n = 6), mostly confined to Serbia. The distribution of beta-lactamase-encoding genes in these isolates suggested clonal dissemination and possible recombination: ST235/bla_NDM-1, ST235/bla_NDM-1/bla_PER-1, ST654/bla_NDM-1, ST654/bla_NDM-1/bla_PER-1, and ST654/bla_NDM-1/bla_GES-5. High-risk clones ST235 and ST654 identified for the first time in Serbia, are important vectors of acquired MBL and ESBL and their associated multidrug resistance phenotypes represent a cause for considerable concern.

Drug resistance analysis of three types of avian-origin carbapenem-resistant Enterobacteriaceae in Shandong Province, China

Animal-derived Enterobacteriaceae bacteria such as Escherichia coli (E. coli), Proteus mirabilis (P. mirabilis), and Klebsiella pneumoniae (K. pneumoniae) are important food-borne zoonotic bacilli that exist widely in the broiler-breeding industry. Although carbapenem antibiotics are considered to be the last line of defense against multidrug-resistant bacteria, carbapenem-resistant Enterobacteriaceae (CRE) break through them. In our study, we therefore, examined the prevalence of CRE and characteristics of antimicrobial resistance in 6 conventional broiler-fattening farms in Shandong Province, China. Our study revealed isolation rates of 3.57% (6/168) for carbapenem-resistant E. coli, 10% (5/50) for carbapenem-resistant P. mirabilis, and 3.03% (1/33) for carbapenem-resistant K. pneumoniae. All 12 CRE bacterial strains showed varying degrees of resistance to 27 antibiotics in 8 classes and were multidrug-resistant. The rate of the strains containing bla_NDM genes, at 91.67% (11/12), was especially high. Among other results, the carrying rate of integrons in CRE bacteria was 91.67% (11/12), and 2 strains carried both class I and class II integrons, which accelerated the lateral transmission of resistant bacteria. Our first-ever finding of the 3 CRE bacteria E. coli, P. mirabilis, and K. pneumoniae on the same broiler farm suggests that poultry-derived CRE strains may pose a risk to humans. Moreover, our findings from surveillance can inform current understandings of the prevalence and characteristics of multidrug-resistant CRE in Shandong Province and, in turn, help to curb threats to food safety and public health and better prevent and control infectious zoonotic diseases.

Presence of quorum sensing system, virulence genes, biofilm formation and relationship among them and class 1 integron in carbapenem-resistant clinical Pseudomonas aeruginosa isolates

Carbapenems are the most effective agents for treating clinical P. aeruginosa (PsA) infections. During an infection, a quorum-sensing (QS) system and its regulating virulence genes have a great role. The aim of the study was to detect the presence of a las and rhl QS system and related virulence genes, biofilm formation and a class 1 (Cls1) integron. A total of 52 carbapenem-resistant PsA (CRPsA) isolates obtained from Kastamonu, Turkey was analyzed. For the isolation and identification of CRPsA isolates, a conventional culture method, an automated VITEK-2 compact system, and oprL gene-based molecular technique were applied. The two QS system genes were detected in 51 (98.1%), and co-existed of four two QS system genes (lasI/R and rhIl/R genes) were determined in 41 (78.8%) of the isolates. algD, lasB, toxA and aprA genes were detected in between 46.1 and 88.5%, and co-existence of four two QS system genes with four virulence genes were detected in 40.4% of the isolates. Biofilm formation using microtiter plate assay and slime production using Congo Red Agar and Cls1 integron were determined in 84.6%, 67.3% and 51.9% of the isolates, respectively. According to statistical analyses results, there was a significant positive correlation (p < .10) between the las and the rhl systems and a strongly and positive correlation (p < .01 or p < .05) between the rhl system-three virulence genes and slime production-and among some virulence genes. In conclusion, the CRPsA isolates tested in the study are highly virulent and QS systems have a significant role in pathogenesis.

Molecular and genomic epidemiology of VIM/IMP-like metallo-β-lactamase-producing Pseudomonas aeruginosa genotypes in Poland

OBJECTIVES

To identify key factors of the expansion of metallo-β-lactamase (MBL)-producing Pseudomonas aeruginosa (MPPA) in Poland, focusing on the role of clonal epidemic(s).

METHODS

MPPA isolates were typed by PFGE, followed by MLST. blaVIM/IMP MBL genes were amplified and sequenced within class 1 integrons. Their location was assessed by S1 nuclease-hybridization assays. Short-read WGS was performed, and genomes were subjected to SNP-based phylogenetic and resistome analyses.

RESULTS

Of 1314 MPPA isolates collected in 2005-15 from 212 hospitals, 454 representatives were selected. The isolates belonged to 120 pulsotypes and 52 STs, of which ST235 (∼31%), ST111 (∼17%), ST273 (∼16%) and ST654 (∼9%) prevailed, followed by ST244, ST17, ST395, ST175 and ST1567. The isolates produced seven VIM variants (97.5%) and four IMPs encoded by 46 integrons, most of which were observed only or mainly in Poland. Around 60% of the isolates resulted from (inter)regional clonal outbreaks of 10 individual ST235, ST111, ST273 and ST654 genotypes. The phylogenetic analysis of 163 genomes revealed heterogeneity of ST235 and ST111 populations, arising from transnational circulation and on-site differentiation of several clades/branches. Contrarily, ST273 and ST654 formed relatively homogeneous and apparently Poland-specific lineages, and a unique ST273 genotype with integron In249 was the most expansive organism.

CONCLUSIONS

Together with a previous report on self-transmissible In461-carrying IncP-2-type plasmids, this study revealed the molecular/genomic background of the rapid MPPA increase in Poland in 2001-15, evidencing multi-clonal spread as its leading factor. Numerous novel/specific MPPA characteristics were identified.

Activity of imipenem/relebactam against Pseudomonas aeruginosa producing ESBLs and carbapenemases

BACKGROUND

ESBL- and carbapenemase-producing Pseudomonas aeruginosa are prevalent in, for example, the Middle East, Eastern Europe and Latin America, though rarer elsewhere. Because P. aeruginosa readily mutate to become carbapenem resistant via loss of OprD, isolates producing ESBLs are often as broadly resistant as those producing carbapenemases. We hypothesized that: (i) relebactam might overcome class A carbapenemases directly in P. aeruginosa; and (ii) relebactam's inhibition of AmpC, which gives a generalized potentiation of imipenem against the species, might restore imipenem susceptibility in OprD-deficient ESBL producers.

METHODS

MICs were determined using CLSI agar dilution for P. aeruginosa isolates producing ESBLs, principally VEB types, and for those producing GES-5, KPC and other carbapenemases.

RESULTS

Relebactam potentiated imipenem by around 4-8-fold for most P. aeruginosa isolates producing VEB and other ESBLs; however, MICs were typically only reduced to 4-16 mg/L, thus mostly remaining above EUCAST's susceptible range and only partly overlapping CLSI's intermediate range. Strong (approx. 64-fold) potentiation was seen for isolates producing KPC carbapenemases, but only 2-fold synergy for those with GES-5. Predictably, potentiation was not seen for isolates with class B or D carbapenemase activity.

CONCLUSIONS

Relebactam did potentiate imipenem against ESBL-producing P. aeruginosa, which are mostly imipenem resistant via OprD loss, but this potentiation was generally insufficient to reduce imipenem MICs to the clinical range. Imipenem resistance owing to KPC carbapenemases was reversed by relebactam in P. aeruginosa, just as for Enterobacterales.

Susceptibility of clinical Enterobacterales and Pseudomonas aeruginosa isolates to ceftazidimeavibactam in Russia: multicenter local laboratory databased surveillance

Objective. To assess the in vitro activity of ceftazidime-avibactam against clinical Enterobacterales and Pseudomonas aeruginosa isolates in various regions of Russia based on results of local susceptibility testing by disk diffusion method. Materials and Methods. Overall, 160 laboratories located in 61 Russian cities participated in this surveillance during 2018-2020. All consecutive clinical isolates of Enterobacterales and Pseudomonas aeruginosa in each participating laboratory were included in the study. Ceftazidime-avibactam susceptibility testing was done by disc-diffusion method in accordance with current EUCAST recommendations. Susceptibility data for carbapenems and III-IV generation cephalosporins, as well as results of carbapenemases detection, were also reported, if available. All the data were recorded in electronic case report form developed on the OpenClinica online platform (www.openclinica.com). Data analysis and reporting were done using AMRcloud online platform (https://amrcloud.net/). Results. In total, we received information on antimicrobial susceptibility of 22,121 isolates, including 17,456 (78.9%) Enterobacterales and 4,665 (21.1%) P. aeruginosa. Less than 9% of Enterobacterales isolates were resistant to ceftazidime-avibactam. At the same time rates of resistance to ceftazidime, cefotaxime, cefepime, ertapenem, imipenem, and meropenem were 54.1%, 58.9%, 59.4%, 41.4%, 23.9%, and 21.3%. Among Enterobacterales the highest level of resistance to ceftazidime-avibactam was detected in K. pneumoniae (16.5%), lowest – in E. coli (2.1%). Some increase of resistance to ceftazidimeavibactam was noted during the study – from 7.8% in 2018-2019 to 9.6% in 2020 (p = 0.0001). Rate of resistance to ceftazidime-avibactam in P. aeruginosa was 33.1%. At the same time rates of resistance to ceftazidime, cefepime, imipenem, and meropenem were 51.1%, 54.5%, 50%, and 47.3%. During the study there was statistically significant decrease in resistance to ceftazidime-avibactam in P. aeruginosa (p = 0.0001). Resistance rates for all beta-lactams for both Enterobacterales and P. aeruginosa were higher in nosocomial isolates than in community-acquired isolates. Conclusions. Ceftazidime-avibactam demonstrated significantly higher in vitro activity against Enterobacterales and P. aeruginosa Russian clinical isolates comparing with commonly used carbapenems and extended spectrum cephalosporins. Access for all study data available at the AMRcloud online platform (https://amrcloud.net/ru/project/cazavi-1-2/).