Resistance Profiles Of Clinical Isolates Research Articles

Characterization of genotypes and antimicrobial resistance profiles of clinical isolates of Shigella from patients in the southern region of Iran

BackgroundShigella spp., which are facultative anaerobic bacilli within the Enterobacteriaceae family, present a significant public health burden due to their role as prominent contributors to diarrheal diseases worldwide. A molecular analysis can facilitate the identification and assessment of outbreaks involving this bacterium. So, we aimed to investigate the antibiotic susceptibility pattern and clonal relatedness of clinical Shigella spp. isolates obtained from patients with diarrhea in Hormozgan province, South of Iran.MethodsFrom 2019 to 2021, a cross-sectional investigation was conducted on 448 stool samples obtained from patients who were experiencing diarrhea, in the southern region of Iran. Shigella spp. isolates were identified based on biochemical and serological tests. All Shigella species were verified using species-specific polymerase chain reaction (PCR), followed by susceptibility testing to antimicrobial agents. Subsequently, genotyping of all Shigella species was conducted using ERIC-PCR.ResultsOut of a total of 448 stool samples, the presence of Shigella was detected in 62 cases, accounting for a prevalence rate of 13.84%. Among the identified isolates, the majority were attributed to S. flexneri, representing 53.23% of the cases. This was followed by S. sonnei at 24.19% and S. boydii at 22.58%. Notably, no instances of S. dysenteriae were found. The highest prevalence of Shigella isolates was observed in infants and children under the age of five. A significant proportion of the identified isolates demonstrated resistance to various antibiotics. Specifically, high resistance rates were noted for ampicillin (90.78%), piperacillin–tazobactam (87.1%), cefixime (83.87%), trimethoprim–sulfamethoxazole (83.87%), cefotaxime (82.26%), and ceftriaxone (80.65%). In addition, a substantial number (87.1%) of the isolates exhibited a multidrug-resistant (MDR) phenotype. Using the ERIC-PCR method, a total of 11 clusters and 6 distinct single types were identified among all the Shigella isolates.ConclusionA notable occurrence of antibiotic-resistant Shigella species has been noted, with multi-drug resistant (MDR) strains presenting an increasing challenge for treating shigellosis worldwide, and this includes Iran. Techniques such as ERIC-PCR are useful for assessing the genetic variation and connections between Shigella strains, which indirectly contributes to understanding antimicrobial resistance patterns. Further research is needed to explore the specific correlation between resistance genes and ERIC genotyping patterns in Shigella strains.

Antimicrobial susceptibility to polymyxin B and other comparators against Gram-negative bacteria isolated from bloodstream infections in China: Results from CARVIS-NET program.

ObjectiveTo investigate the bacterial distribution and antimicrobial resistance profile of clinical isolates from Gram-negative bacteria bloodstream infections (GNBSI) in China.MethodsThe clinical bacterial strains isolated from blood culture were collected during April 2019 to December 2021 in 21 member hospitals of China Bloodstream Gram-negative Pathogens Antimicrobial Resistance and Virulence Surveillance Network (CARVIS-NET). Antibiotic susceptibility test was conducted by broth microdilution method recommended by Clinical and Laboratory Standards Institute (CLSI, United States). WHONET 2021 and SPSS 22.0 were used to analyze data.ResultsDuring the study period, 1939 Gram-negative bacteria were collected from 21 hospitals, among which 1,724 (88.9%) were Enterobacteriaceae, 207 (10.7%) were non-fermenting Gram-negative bacteria and 8 (0.4%) were others. The top five bacterial species were Escherichia coli (46.2%), Klebsiella pneumoniae (31.6%), Pseudomonas aeruginosa (4.9%), Acinetobacter baumannii (4.2%) and Enterobacter cloacae (3.0%). For K. pneumoniae, antibiotic resistance was mainly prevalent in hospital-associated bloodstream infections, while for A. baumannii, antibiotic resistance was mainly prevalent in community-associated bloodstream infections. It is worth mentioning that 94.1% of the 1939 Gram-negative isolates were susceptible to polymyxin B. The sensitivity of the strains involved in our investigation to polymyxin B is highly correlated with their sensitivity to colistin.ConclusionThe surveillance results in CARVIS-NET-2021 showed that the main pathogens of GNBSI in China were Enterobacteriaceae, while E. coli was the most common pathogen. The resistance rates of K. pneumonia, P. aeruginosa, A. baumannii, and E. cloacae to multiple antibiotics kept on a high level. In many cases, polymyxin B and colistin has become the last-resort agents to combat bloodstream infections caused by multidrug-resistant (MDR) Gram-negative bacteria.

Genotyping and Drug Resistance Profile of Clinical Isolates of Candida albicans from Vulvovaginal Candidiasis in the Eastern China

A total of 244 Candida albicans isolates recovered from vulvovaginal candidiasis (VVC) patients in Suzhou, Eastern China, were investigated. According to CLSI documents M27-A4 and M59-3ed/M60-2ed, the MIC geometric means of nine antifungals in increasing order were micafungin (0.048 mg/L), anidulafungin (0.132 mg/L), caspofungin (0.19 mg/L), itraconazole (0.23 mg/L), posaconazole (0.25 mg/L), voriconazole (0.28 mg/L), 5-flucytosine (0.44 mg/L), amphotericin B (0.49 mg/L) and fluconazole (2.01 mg/L) respectively. Of note, 6.5% (16/244) C. albicans isolates showed resistance mainly to anidulafungin (mono-echinocandin resistance), while voriconazole had the lowest susceptibility rate of 34.8% (85/244), followed by fluconazole 59.4% (145/244), respectively. All isolates were genotyped by allelic combination of 3 microsatellite markers (CEF3, CAIII and LOC4). A total of 129 different allelic genotypes were identified, in which seven different clades were recognized with a discriminatory power of 0.96. Genotypes A-D were present in 35% of the isolates. In conclusion, decrease in antifungal drug susceptibility to C. albicans isolates from VVC is alarming. Our findings revealed the genetic diversity of C. albicans isolates among VVC patients and provided insights into the molecular epidemiology of Candida infections in China.

Prevalence and Resistance Profile of Clinical Isolates of Acinetobacter Species from Karachi, Pakistan

Acinetobacter baumannii causes a variety of infections including pneumonia, urinary tract infection, bacteremia, peritonitis etc. This organism is developing resistance to a number of antibiotics due to various intrinsic and acquired antibiotic resistance genes. The aim of the present study was to determine the prevalence of antibiotic-resistant Acinetobacter species from Karachi, Pakistan. A total of 111 strains of Acinetobacter baumannii and 8 strains of non-baumannii Acinetobacter were isolated from various hospitals of Karachi from September 2013 to December 2014. Identification of the isolates was based on the standard biochemical tests and detection of OXA-51 and OXA-23. Antibiotic resistance profile of the isolates was determined by Kirby-Bauer disc diffusion method and Minimum Inhibitory Concentration (MIC) was also determined by broth macro-dilution method. Among 111 Acinetobacter baumannii isolates, 8 were pan-drug resistant (PDR) and 103 isolates were multidrug resistant (MDR) while all non-baumannii Acinetobacter were MDR. The effective antibiotics against A. baumannii were colistin, gentamicin, trimethoprim/sulfamethoxazole and ciprofloxacin with MIC50 value 1, 256, 256, 256µg/ml, respectively. These findings strongly suggest the proper detection and reporting of PDR/MDR Acinetobacter from clinical samples and also the judicious use of broad-spectrum antibiotics is necessary to prevent the further spread of resistant strains of Acinetobacter.

New Bugs and New Drugs: Updates in Clinical Microbiology.

The landscape of clinical microbiology laboratories is changing. As new technologies are introduced, we are better able to detect and identify pathogens and to recognize and characterize emerging antimicrobial resistance mechanisms. In this review, a selected cross-section of current hot topics in clinical microbiology is discussed. These topics include (a) diagnostics for urinary tract and sexually transmitted infections; (b) phenotypic and genotypic methods of detecting carbapenem resistance and discussion of newly approved anti-infective agents for these multi-drug resistant organisms; and (c) the significance, epidemiology, and identification of the emerging pathogens Mycobacterium chimaera and Candida auris. Communication between clinical microbiologists and their clinical colleagues is imperative to convey the significance of emerging pathogens and resistance determinants, as well as the performance characteristics of new diagnostic methods. Additionally, as antimicrobial resistance is surging, it is important to comprehensively evaluate the resistance profiles of clinical isolates to facilitate antimicrobial stewardship and inform infection prevention measures. Although antimicrobial resistance is a global public health crisis, it is encouraging that new anti-infective agents are in the pipeline and being approved for use in patients.

Molecular Epidemiology of Carbapenem-Resistant Acinetobacter baumannii in a Tertiary Care Hospital in Egypt: Clonal Spread of blaOXA-23

Of great concern is the increased frequency of carbapenem-resistant Acinetobacter baumannii (CRAB) causing healthcare-associated infections. Different classes of β-lactamases are involved in this resistance through hydrolyzing carbapenems. Multilocus sequence typing (MLST) has been applied successfully for characterizing different varieties of bacterial pathogens epidemiologically. In the present study, we aimed to type and characterize the resistance profile of clinical isolates of CRAB causing healthcare-associated infections in patients admitted to Kasr Al-Aini hospital, using MLST, and compare with sequence types (STs) from other countries. A total of 50 isolates were collected from clinical samples (predominantly wound and blood), then identified by blaOXA-51-like gene PCR, and subjected to Oxford MLST scheme. The ST was designated according to PubMLST database, and e-BURST algorithm was used to assign clonal complexes. Four sets of multiplex PCR were performed to detect common carbapenem resistance genes. ST391 was the predominant ST detected in 17 cases, 70.5% of which harbored blaOXA-23 alone, both blaOXA-23 and blaKPC in 11.8%. Newly recognized 13 STs were submitted to the PubMLST database. Carbapenem resistance due to blaOXA-23 carbapenemase was detected in 36/50 (72%), followed by blaOXA-23 concomitant with blaKPC in 7/50 (14%), while blaNDM with blaOXA-58 in 3/50 (6%) and blaNDM alone in 1 case (2%). To conclude, this study demonstrates the propagation of highly resistant clone of STs 391 and 1151, carrying blaOXA-23 genes, with the first report of blaKPC in blaOXA carrying CRAB and the presence of new STs by performing the MLST technique in an Egyptian laboratory facility.

Rapid antibiotic-resistance predictions from genome sequence data for Staphylococcus aureus and Mycobacterium tuberculosis.

The rise of antibiotic-resistant bacteria has led to an urgent need for rapid detection of drug resistance in clinical samples, and improvements in global surveillance. Here we show how de Bruijn graph representation of bacterial diversity can be used to identify species and resistance profiles of clinical isolates. We implement this method for Staphylococcus aureus and Mycobacterium tuberculosis in a software package (‘Mykrobe predictor') that takes raw sequence data as input, and generates a clinician-friendly report within 3 minutes on a laptop. For S. aureus, the error rates of our method are comparable to gold-standard phenotypic methods, with sensitivity/specificity of 99.1%/99.6% across 12 antibiotics (using an independent validation set, n=470). For M. tuberculosis, our method predicts resistance with sensitivity/specificity of 82.6%/98.5% (independent validation set, n=1,609); sensitivity is lower here, probably because of limited understanding of the underlying genetic mechanisms. We give evidence that minor alleles improve detection of extremely drug-resistant strains, and demonstrate feasibility of the use of emerging single-molecule nanopore sequencing techniques for these purposes.

High burden of antimicrobial resistance in Asia

Antimicrobial resistance is associated with high mortality rates and high medical costs. Marked variations in the resistance profiles of bacterial and fungal pathogens as well as the quality of public hygiene have had a considerable impact on the effectiveness of antimicrobial agents in Asian countries. In Asia, one of the epicentres of antimicrobial drug resistance, there is an alarming number of antibiotic-resistant species, including penicillin- and erythromycin-resistant Streptococcus pneumoniae, ampicillin-resistant Haemophilus influenzae, multidrug-resistant (MDR) Acinetobacter baumannii, extended-spectrum β-lactamase (ESBL)-producing Klebsiella pneumoniae (particularly mediated by CTX-M-9, CTX-M-14 and CTX-M-15), New Delhi metallo-β-lactamase 1 (NDM-1)-producing Enterobacteriaceae, MDR Salmonella enterica serotypes Choleraesuis and Typhi, carbapenem-resistant A. baumannii (OXA-58 and OXA-23 carbapenemases) and azole-resistant Candida glabrata. A few clones of MDR A. baumannii and hospital-acquired meticillin-resistant Staphylococcus aureus (MRSA) have been widely disseminated in hospital settings in Asia, and K. pneumoniae carbapenemase (KPC)-producing K. pneumoniae strains have been widely distributed in China. In addition, the emergence of extensively drug-resistant Mycobacterium tuberculosis (XDR-TB) has illustrated the need for regular monitoring of resistance profiles of clinical isolates as well as the deliberative use of fluoroquinolones. Continuous surveillance of resistance data from clinical isolates as well as implementation of strict infection control policies in healthcare settings are required to mitigate the progression of antimicrobial resistance.

Antimicrobial Drug Resistance in Taiwan

Antimicrobial resistance is a major global health threat associated with high mortality rates and high medical costs. Geographic variations in resistance profiles of bacterial and fungal pathogens have had a considerable impact on antimicrobial prescription. In Taiwan, there is an alarmingly high prevalence of penicillin-resistant Streptococcus pneumoniae, multidrug-resistant and extensively drug-resistant (XDR) Pseudomonas aeruginosa and Acinetobacter baumannii, extended-spectrum β-lactamase-producing Klebsiella pneumoniae, penicillin- and fluoroquinolone-resistant Neisseria gonorrhoeae, and azole-resistant Candida species. In addition, the emergence of XDR Mycobacterium tuberculosis has illustrated the need for regular monitoring of the resistance profiles of clinical isolates. A few clones of XDR A. baumannii and methicillin-resistant Staphylococcus aureus of unique sequence type (ST 59) have disseminated in Taiwanese hospital settings. Besides, the existence of a transposon-harboring carbapenemase gene has been verified in XDR P aeruginosa strains throughout Taiwan. An end to the worsening trends in the emergence of antimicrobial resistance will require continuous survey of resistance data from clinical isolates and effective implementation of strict infection control policies in healthcare settings and animal husbandry.