Mapping Antimicrobial Resistance in <i>Escherichia coli</i> and <i>Klebsiella pneumoniae</i> from Complicated Urinary Tract Infections in Oman: Phenotypic and Genotypic Insights

<b>Background:</b> Mapping the local etiology and susceptibility of common pathogens causing complicated urinary tract infection (cUTI) is important for promoting evidence-based antimicrobial prescribing. Evaluating the prevalence of extended-spectrum beta-lactamase (ESBL), AmpC beta-lac...

Full description

Bibliographic Details
Published in:Diagnostics
Main Authors: Nawal AL Shizawi, Zaaima AL Jabri, Fatima Khan, Hiba Sami, Turkiya AL Siyabi, Zakariya AL Muharrmi, Srinivasa Rao Sirasanagandla, Meher Rizvi
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Subjects:
Online Access:https://www.mdpi.com/2075-4418/15/9/1062
_version_ 1849411471592652800
author Nawal AL Shizawi
Zaaima AL Jabri
Fatima Khan
Hiba Sami
Turkiya AL Siyabi
Zakariya AL Muharrmi
Srinivasa Rao Sirasanagandla
Meher Rizvi
author_facet Nawal AL Shizawi
Zaaima AL Jabri
Fatima Khan
Hiba Sami
Turkiya AL Siyabi
Zakariya AL Muharrmi
Srinivasa Rao Sirasanagandla
Meher Rizvi
author_sort Nawal AL Shizawi
collection DOAJ
container_title Diagnostics
description <b>Background:</b> Mapping the local etiology and susceptibility of common pathogens causing complicated urinary tract infection (cUTI) is important for promoting evidence-based antimicrobial prescribing. Evaluating the prevalence of extended-spectrum beta-lactamase (ESBL), AmpC beta-lactamase (AmpC), and carbapenemase-producing <i>Enterobacterales</i> (CPEs) is equally important as it informs treatment guidelines and empiric management. Whole genome sequencing (WGS) enhances antimicrobial resistance (AMR) surveillance by complementing phenotypic antimicrobial susceptibility testing, offering deeper insights into resistance mechanisms, transmissions, and evolutions. Integrating it into routine AMR monitoring can significantly improve global efforts to combat antimicrobial resistance. <b>Methods:</b> Antimicrobial susceptibility profiles of isolates from cUTI were collected from patients presenting with Sultan Qaboos University Hospital, Muscat and Suhar Hospital, Suhar, Oman. Automated systems as well as manual methods were used for detection of ESBL, AmpC, and CPE. ESBLs, AmpC β-lactamases, and CPEs were further detected by manual methods: double-disk synergy test for ESBL; disk approximation assay and D69C AmpC detection set for AmpC, and mCIM and <i>KPC/IMP/NDM/VIM/OXA-48</i> Combo test kit for CPE. WGS was carried out in 11 FOX-resistant <i>E. coli</i> and (22 carbapenem-resistant <i>K. pneumoniae</i>) isolates with varying susceptibilities to identify circulating clades, AMR genes, and plasmids. Bioinformatic analysis was performed using online tools. <b>Results:</b> The susceptibility patterns of <i>E. coli</i> from cUTI were as follows: nitrofurantoin (96%), fosfomycin (100%), fluoroquinolones (44%), aminoglycosides (93%), piperacillin-tazobactam (95%), and carbapenems (98%). In comparison, susceptibility rates of <i>K. pneumoniae</i> were far lower: nitrofurantoin (38%), fosfomycin (89%), aminoglycosides (82%), piperacillin-tazobactam (72%), and carbapenems (83%). <i>K. pneumoniae,</i> however, was more susceptible to fluoroquinolones at 47% in comparison to <i>E. coli.</i> The prevalence of ESBL among <i>E. coli</i> and <i>K. pneumoniae</i> was 37.2% and CRE was 6.2% while the estimated prevalence of AmpC was 5.4%. It was observed that <i>E. coli</i> was the predominant ESBL and AmpC producer, while <i>K. pneumoniae</i> was the major carbapenem-resistant <i>Enterobacterales</i> (CREs) producer. No predominant multi-locus sequence typing (MLST) lineage was observed in AmpC-producing <i>E. coli</i> with nine <i>E. coli</i> MLST lineages being identified from eleven isolates: <i>ST-10</i>, <i>ST-69</i>, <i>ST-77</i>, <i>ST-131</i>, <i>ST-156</i>, <i>ST-167</i>, <i>ST-361</i>, <i>ST-1125,</i> and <i>ST-2520</i>. On the other hand, a less diverse MLST spectrum (<i>ST-2096</i>, <i>ST-231</i>, <i>ST-147</i>, <i>ST-1770,</i> and <i>ST-111</i>) was observed in the CRE <i>K. pneumoniae</i>. Among the five MLST lineages, <i>ST-2096</i> (twelve isolates) and <i>ST-147</i> (seven isolates) predominated. WGS revealed that <i>DHA-1</i> was the predominant plasmid-mediated <i>AmpC</i> gene in <i>E. coli</i>, while <i>OXA-232</i> and <i>NDM-5</i> were the most common carbapenemase genes in <i>K. pneumoniae</i>. All <i>E. coli DHA-1</i>-positive isolates co-harbored the quinolone resistance gene <i>qnrB4</i> and the sulfonamide resistance gene <i>sul1</i> while no aminoglycoside resistance genes were detected. The majority of CPE CRE <i>K. pneumoniae</i> carried other β-lactamase genes, such as <i>blaCTX-M-15</i>, <i>blaSHV</i>, and <i>blaTEM</i>; all co-harbored the quinolone resistance gene <i>OqxAB;</i> and 77% carried the aminoglycoside resistance gene <i>armA</i>. <b>Conclusions:</b> Our results suggest that fosfomycin is an excellent empiric choice for treating complicated cystitis caused by both <i>E. coli</i> and <i>K. pneumoniae,</i> while nitrofurantoin is an appropriate choice for <i>E. coli</i> cystitis but not for <i>K. pneumoniae</i>. Aminoglycosides and piperacillin-tazobactam are excellent intravenous alternatives that spare carbapenems. <i>DHA-1</i> was the predominant AmpC in <i>E. coli,</i> while <i>OXA-232</i> and <i>NDM-5</i> were the predominant carbapenemases in <i>K. pneumoniae</i>. In AmpC-producing <i>E. coli,</i> no MLST predominated, suggesting a significant flux in <i>E. coli</i> with lack of stable clades in this region. In contrast, <i>ST-2096</i> and <i>ST-147</i> predominated in CRE <i>Klebsiella pneumoniae,</i> suggesting a stable circulation of these in Oman. WGS profiling provides a deeper understanding of the genetic basis of resistance and enhances surveillance and offers comprehensive insights into pathogen evolution and transmission patterns.
format Article
id doaj-art-e5ba431e6d294fabbd91ea66cb397960
institution Directory of Open Access Journals
issn 2075-4418
language English
publishDate 2025-04-01
publisher MDPI AG
record_format Article
spelling doaj-art-e5ba431e6d294fabbd91ea66cb3979602025-08-20T03:49:22ZengMDPI AGDiagnostics2075-44182025-04-01159106210.3390/diagnostics15091062Mapping Antimicrobial Resistance in <i>Escherichia coli</i> and <i>Klebsiella pneumoniae</i> from Complicated Urinary Tract Infections in Oman: Phenotypic and Genotypic InsightsNawal AL Shizawi0Zaaima AL Jabri1Fatima Khan2Hiba Sami3Turkiya AL Siyabi4Zakariya AL Muharrmi5Srinivasa Rao Sirasanagandla6Meher Rizvi7Department of Microbiology, Suhar Hospital, Ministry of Health, Sohar 100, OmanDepartment of Microbiology and Immunology, College of Medicine and Health Sciences, Sultan Qaboos University and Sultan Qaboos University Hospital, Muscat 123, OmanDepartment of Microbiology, Jawaharlal Nehru Medical College, Aligarh Muslim University, Aligarh 202001, IndiaDepartment of Microbiology, Jawaharlal Nehru Medical College, Aligarh Muslim University, Aligarh 202001, IndiaDepartment of Microbiology and Immunology, College of Medicine and Health Sciences, Sultan Qaboos University and Sultan Qaboos University Hospital, Muscat 123, OmanDepartment of Microbiology and Immunology, College of Medicine and Health Sciences, Sultan Qaboos University and Sultan Qaboos University Hospital, Muscat 123, OmanDepartment of Human and Clinical Anatomy, College of Medicine and Health Sciences, Sultan Qaboos University, Muscat 123, OmanDepartment of Microbiology and Immunology, College of Medicine and Health Sciences, Sultan Qaboos University and Sultan Qaboos University Hospital, Muscat 123, Oman<b>Background:</b> Mapping the local etiology and susceptibility of common pathogens causing complicated urinary tract infection (cUTI) is important for promoting evidence-based antimicrobial prescribing. Evaluating the prevalence of extended-spectrum beta-lactamase (ESBL), AmpC beta-lactamase (AmpC), and carbapenemase-producing <i>Enterobacterales</i> (CPEs) is equally important as it informs treatment guidelines and empiric management. Whole genome sequencing (WGS) enhances antimicrobial resistance (AMR) surveillance by complementing phenotypic antimicrobial susceptibility testing, offering deeper insights into resistance mechanisms, transmissions, and evolutions. Integrating it into routine AMR monitoring can significantly improve global efforts to combat antimicrobial resistance. <b>Methods:</b> Antimicrobial susceptibility profiles of isolates from cUTI were collected from patients presenting with Sultan Qaboos University Hospital, Muscat and Suhar Hospital, Suhar, Oman. Automated systems as well as manual methods were used for detection of ESBL, AmpC, and CPE. ESBLs, AmpC β-lactamases, and CPEs were further detected by manual methods: double-disk synergy test for ESBL; disk approximation assay and D69C AmpC detection set for AmpC, and mCIM and <i>KPC/IMP/NDM/VIM/OXA-48</i> Combo test kit for CPE. WGS was carried out in 11 FOX-resistant <i>E. coli</i> and (22 carbapenem-resistant <i>K. pneumoniae</i>) isolates with varying susceptibilities to identify circulating clades, AMR genes, and plasmids. Bioinformatic analysis was performed using online tools. <b>Results:</b> The susceptibility patterns of <i>E. coli</i> from cUTI were as follows: nitrofurantoin (96%), fosfomycin (100%), fluoroquinolones (44%), aminoglycosides (93%), piperacillin-tazobactam (95%), and carbapenems (98%). In comparison, susceptibility rates of <i>K. pneumoniae</i> were far lower: nitrofurantoin (38%), fosfomycin (89%), aminoglycosides (82%), piperacillin-tazobactam (72%), and carbapenems (83%). <i>K. pneumoniae,</i> however, was more susceptible to fluoroquinolones at 47% in comparison to <i>E. coli.</i> The prevalence of ESBL among <i>E. coli</i> and <i>K. pneumoniae</i> was 37.2% and CRE was 6.2% while the estimated prevalence of AmpC was 5.4%. It was observed that <i>E. coli</i> was the predominant ESBL and AmpC producer, while <i>K. pneumoniae</i> was the major carbapenem-resistant <i>Enterobacterales</i> (CREs) producer. No predominant multi-locus sequence typing (MLST) lineage was observed in AmpC-producing <i>E. coli</i> with nine <i>E. coli</i> MLST lineages being identified from eleven isolates: <i>ST-10</i>, <i>ST-69</i>, <i>ST-77</i>, <i>ST-131</i>, <i>ST-156</i>, <i>ST-167</i>, <i>ST-361</i>, <i>ST-1125,</i> and <i>ST-2520</i>. On the other hand, a less diverse MLST spectrum (<i>ST-2096</i>, <i>ST-231</i>, <i>ST-147</i>, <i>ST-1770,</i> and <i>ST-111</i>) was observed in the CRE <i>K. pneumoniae</i>. Among the five MLST lineages, <i>ST-2096</i> (twelve isolates) and <i>ST-147</i> (seven isolates) predominated. WGS revealed that <i>DHA-1</i> was the predominant plasmid-mediated <i>AmpC</i> gene in <i>E. coli</i>, while <i>OXA-232</i> and <i>NDM-5</i> were the most common carbapenemase genes in <i>K. pneumoniae</i>. All <i>E. coli DHA-1</i>-positive isolates co-harbored the quinolone resistance gene <i>qnrB4</i> and the sulfonamide resistance gene <i>sul1</i> while no aminoglycoside resistance genes were detected. The majority of CPE CRE <i>K. pneumoniae</i> carried other β-lactamase genes, such as <i>blaCTX-M-15</i>, <i>blaSHV</i>, and <i>blaTEM</i>; all co-harbored the quinolone resistance gene <i>OqxAB;</i> and 77% carried the aminoglycoside resistance gene <i>armA</i>. <b>Conclusions:</b> Our results suggest that fosfomycin is an excellent empiric choice for treating complicated cystitis caused by both <i>E. coli</i> and <i>K. pneumoniae,</i> while nitrofurantoin is an appropriate choice for <i>E. coli</i> cystitis but not for <i>K. pneumoniae</i>. Aminoglycosides and piperacillin-tazobactam are excellent intravenous alternatives that spare carbapenems. <i>DHA-1</i> was the predominant AmpC in <i>E. coli,</i> while <i>OXA-232</i> and <i>NDM-5</i> were the predominant carbapenemases in <i>K. pneumoniae</i>. In AmpC-producing <i>E. coli,</i> no MLST predominated, suggesting a significant flux in <i>E. coli</i> with lack of stable clades in this region. In contrast, <i>ST-2096</i> and <i>ST-147</i> predominated in CRE <i>Klebsiella pneumoniae,</i> suggesting a stable circulation of these in Oman. WGS profiling provides a deeper understanding of the genetic basis of resistance and enhances surveillance and offers comprehensive insights into pathogen evolution and transmission patterns.https://www.mdpi.com/2075-4418/15/9/1062<i>E. coli</i><i>K. pneumoniae</i>complicated UTIwhole genome sequencingAMRfosfomycin
spellingShingle Nawal AL Shizawi
Zaaima AL Jabri
Fatima Khan
Hiba Sami
Turkiya AL Siyabi
Zakariya AL Muharrmi
Srinivasa Rao Sirasanagandla
Meher Rizvi
Mapping Antimicrobial Resistance in <i>Escherichia coli</i> and <i>Klebsiella pneumoniae</i> from Complicated Urinary Tract Infections in Oman: Phenotypic and Genotypic Insights
<i>E. coli</i>
<i>K. pneumoniae</i>
complicated UTI
whole genome sequencing
AMR
fosfomycin
title Mapping Antimicrobial Resistance in <i>Escherichia coli</i> and <i>Klebsiella pneumoniae</i> from Complicated Urinary Tract Infections in Oman: Phenotypic and Genotypic Insights
title_full Mapping Antimicrobial Resistance in <i>Escherichia coli</i> and <i>Klebsiella pneumoniae</i> from Complicated Urinary Tract Infections in Oman: Phenotypic and Genotypic Insights
title_fullStr Mapping Antimicrobial Resistance in <i>Escherichia coli</i> and <i>Klebsiella pneumoniae</i> from Complicated Urinary Tract Infections in Oman: Phenotypic and Genotypic Insights
title_full_unstemmed Mapping Antimicrobial Resistance in <i>Escherichia coli</i> and <i>Klebsiella pneumoniae</i> from Complicated Urinary Tract Infections in Oman: Phenotypic and Genotypic Insights
title_short Mapping Antimicrobial Resistance in <i>Escherichia coli</i> and <i>Klebsiella pneumoniae</i> from Complicated Urinary Tract Infections in Oman: Phenotypic and Genotypic Insights
title_sort mapping antimicrobial resistance in i escherichia coli i and i klebsiella pneumoniae i from complicated urinary tract infections in oman phenotypic and genotypic insights
topic <i>E. coli</i>
<i>K. pneumoniae</i>
complicated UTI
whole genome sequencing
AMR
fosfomycin
url https://www.mdpi.com/2075-4418/15/9/1062
work_keys_str_mv AT nawalalshizawi mappingantimicrobialresistanceiniescherichiacoliiandiklebsiellapneumoniaeifromcomplicatedurinarytractinfectionsinomanphenotypicandgenotypicinsights
AT zaaimaaljabri mappingantimicrobialresistanceiniescherichiacoliiandiklebsiellapneumoniaeifromcomplicatedurinarytractinfectionsinomanphenotypicandgenotypicinsights
AT fatimakhan mappingantimicrobialresistanceiniescherichiacoliiandiklebsiellapneumoniaeifromcomplicatedurinarytractinfectionsinomanphenotypicandgenotypicinsights
AT hibasami mappingantimicrobialresistanceiniescherichiacoliiandiklebsiellapneumoniaeifromcomplicatedurinarytractinfectionsinomanphenotypicandgenotypicinsights
AT turkiyaalsiyabi mappingantimicrobialresistanceiniescherichiacoliiandiklebsiellapneumoniaeifromcomplicatedurinarytractinfectionsinomanphenotypicandgenotypicinsights
AT zakariyaalmuharrmi mappingantimicrobialresistanceiniescherichiacoliiandiklebsiellapneumoniaeifromcomplicatedurinarytractinfectionsinomanphenotypicandgenotypicinsights
AT srinivasaraosirasanagandla mappingantimicrobialresistanceiniescherichiacoliiandiklebsiellapneumoniaeifromcomplicatedurinarytractinfectionsinomanphenotypicandgenotypicinsights
AT meherrizvi mappingantimicrobialresistanceiniescherichiacoliiandiklebsiellapneumoniaeifromcomplicatedurinarytractinfectionsinomanphenotypicandgenotypicinsights