Molecular characterization and diversity of shiga toxin-producing E. coli (STEC) isolates obtained in the Netherlands

2016 ◽  
Author(s):  
Mithila Ferdous
Keyword(s):  
The Netherlands ◽  
Molecular Characterization ◽  
Shiga Toxin ◽  
E Coli

scholarly journals Emergence of Escherichia coli encoding Shiga toxin 2f in human Shiga toxin-producing E. coli (STEC) infections in the Netherlands, January 2008 to December 2011

2014 ◽  
Vol 19 (17) ◽  
Author(s):  
I Friesema ◽  
K van der Zwaluw ◽  
T Schuurman ◽  
M Kooistra-Smid ◽  
E Franz ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
The Netherlands ◽  
Shiga Toxin ◽  
Distinct Group ◽  
Shiga Toxins ◽  
E Coli ◽  
Mild Disease ◽  
Shiga Toxin 2 ◽  
Almost All ◽  
Human Infections

The Shiga toxins of Shiga toxin-producing Escherichia coli (STEC) can be divided into Shiga toxin 1 (Stx1) and Shiga toxin 2 (Stx2) with several sub-variants. Variant Stx2f is one of the latest described, but has been rarely associated with symptomatic human infections. In the enhanced STEC surveillance in the Netherlands, 198 STEC O157 cases and 351 STEC non-O157 cases, including 87 stx2f STEC isolates, were reported between 2008 and 2011. Most stx2f strains belonged to the serogroups O63:H6 (n=47, 54%), O113:H6 (n=12, 14%) and O125:H6 (n=12, 14%). Of the 87 stx2f isolates, 84 (97%) harboured the E. coli attaching and effacing (eae) gene, but not the enterohaemorrhagic E. coli haemolysin (hly) gene. Stx2f STEC infections show milder symptoms and a less severe clinical course than STEC O157 infections. Almost all infections with stx2f (n=83, 95%) occurred between June and December, compared to 170/198 (86%) of STEC O157 and 173/264 (66%) of other STEC non-O157. Stx2f STEC infections in the Netherlands are more common than anticipated, and form a distinct group within STEC with regard to virulence genes and the relatively mild disease.

Molecular characterization and phylogeny of Shiga toxin-producing E. coli (STEC) from imported beef meat in Malaysia

2016 ◽  
Vol 23 (17) ◽  
pp. 17553-17562 ◽  
Author(s):  
Nawal Nouridaim Abuelhassan ◽  
Sahilah Abdul Mutalib ◽  
Fufa Ido Gimba ◽  
Wan Mohtar Yusoff
Keyword(s):  
Molecular Characterization ◽  
Shiga Toxin ◽  
E Coli ◽  
Beef Meat

scholarly journals Molecular Characterization of Escherichia coli O157:H7 and non-O157 Shiga Toxin Producing E. coli from Retail Meat and Humans

2017 ◽  
Vol 45 (3) ◽  
pp. 250-261 ◽  
Author(s):  
Heba Ahmed ◽  
Ewan MacLeod ◽  
Rasha El Bayomi ◽  
Rasha Mohsen ◽  
Arwa Nassar
Keyword(s):  
Escherichia Coli ◽  
Molecular Characterization ◽  
Shiga Toxin ◽  
Escherichia Coli O157 ◽  
E Coli ◽  
Retail Meat

scholarly journals Utilizing the Food–Pathogen Metabolome to Putatively Identify Biomarkers for the Detection of Shiga Toxin-Producing E. coli (STEC) from Spinach

Metabolites ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 67
Author(s):  
Snehal R. Jadhav ◽  
Rohan M. Shah ◽  
Avinash V. Karpe ◽  
Robert S. Barlow ◽  
Kate E. McMillan ◽  
...  
Keyword(s):  
Shiga Toxin ◽  
Metabolic Profiling ◽  
Biomarker Discovery ◽  
Risk Groups ◽  
Proof Of Concept ◽  
Rapid Methods ◽  
E Coli ◽  
Leafy Greens ◽  
Food Pathogen ◽  
Genomic Similarity

Shiga toxigenic E. coli (STEC) are an important cause of foodborne disease globally with many outbreaks linked to the consumption of contaminated foods such as leafy greens. Existing methods for STEC detection and isolation are time-consuming. Rapid methods may assist in preventing contaminated products from reaching consumers. This proof-of-concept study aimed to determine if a metabolomics approach could be used to detect STEC contamination in spinach. Using untargeted metabolic profiling, the bacterial pellets and supernatants arising from bacterial and inoculated spinach enrichments were investigated for the presence of unique metabolites that enabled categorization of three E. coli risk groups. A total of 109 and 471 metabolite features were identified in bacterial and inoculated spinach enrichments, respectively. Supervised OPLS-DA analysis demonstrated clear discrimination between bacterial enrichments containing different risk groups. Further analysis of the spinach enrichments determined that pathogen risk groups 1 and 2 could be easily discriminated from the other groups, though some clustering of risk groups 1 and 2 was observed, likely representing their genomic similarity. Biomarker discovery identified metabolites that were significantly associated with risk groups and may be appropriate targets for potential biosensor development. This study has confirmed that metabolomics can be used to identify the presence of pathogenic E. coli likely to be implicated in human disease.

scholarly journals Molecular Characterization of Antimicrobial Resistance and Virulence Genes of Bacterial Pathogens from Bovine and Caprine Mastitis in Northern Lebanon

2021 ◽  
Vol 9 (6) ◽  
pp. 1148
Author(s):  
Zahie Abboud ◽  
Lucia Galuppo ◽  
Marco Tolone ◽  
Maria Vitale ◽  
Roberto Puleio ◽  
...  
Keyword(s):  
Antimicrobial Resistance ◽  
Molecular Characterization ◽  
Antimicrobial Susceptibility ◽  
Meca Gene ◽  
Toxin Gene ◽  
Pcr Screening ◽  
E Coli ◽  
Presenting Symptoms ◽  
Flight Mass Spectrometry ◽  
Streptococcus Uberis

Mastitis is an infectious disease encountered in dairy animals worldwide that is currently a growing concern in Lebanon. This study aimed at investigating the etiology of the main mastitis-causing pathogens in Northern Lebanon, determining their antimicrobial susceptibility profiles, and identifying their antimicrobial resistance (AMR) genes. A total of 101 quarter milk samples were collected from 77 cows and 11 goats presenting symptoms of mastitis on 45 dairy farms. Bacterial identification was carried out through matrix-assisted laser desorption/ionization-time of flight mass spectrometry. Antimicrobial susceptibility was tested by disc diffusion and broth microdilution methods. Molecular characterization included polymerase chain reaction (PCR) screening for genes encoding extended-spectrum beta-lactamases (ESBLs) and plasmid-mediated AmpC among Enterobacterales isolates, and virulence factors among Staphylococcus isolates. Escherichia coli isolates were subjected to phylogenetic typing by a quadruplex PCR method. The most frequently identified species were Streptococcus uberis (19.2%), Streptococcus agalactiae (15.1%), E. coli (12.3%), and Staphylococcus aureus (10.96%). Gram-positive bacteria were resistant to macrolides and tetracycline, whereas gram-negative bacteria displayed resistance to ampicillin and tetracycline. Two ESBL genes, blaTEM (83.3%) and blaOXA (16.7%), and one AmpC beta-lactamase gene, blaCMY-II (16.7%), were detected among six E. coli isolates, which mainly belonged to phylogenetic group B1. Among Staphylococcus spp., the mecA gene was present in three isolates. Furthermore, four isolates contained at least one toxin gene, and all S. aureus isolates carried the ica operon. These findings revealed the alarming risk of AMR in the Lebanese dairy chain and the importance of monitoring antimicrobial usage.

W1780 Ciprofloxacin in Rabbits Infected with a Shiga-Toxin (Stx)-Producing E. coli (Stec) Srain Leads to Worse Clinical Outcome and Increased Toxin Release

2008 ◽  
Vol 134 (4) ◽  
pp. A-714
Author(s):  
Antonio Serna ◽  
Chengru Zhu ◽  
Amelia J. Nugent ◽  
Erin K. Okeefe ◽  
Edgar Boedeker
Keyword(s):  
Clinical Outcome ◽  
Shiga Toxin ◽  
E Coli

scholarly journals Hemoconcentration and predictors in Shiga toxin-producing E. coli-hemolytic uremic syndrome (STEC-HUS)

2021 ◽  
Author(s):  
Sebastian Loos ◽  
Jun Oh ◽  
Laura van de Loo ◽  
Markus J. Kemper ◽  
Martin Blohm ◽  
...  
Keyword(s):  
Risk Factor ◽  
Serum Creatinine ◽  
Hemolytic Uremic Syndrome ◽  
Shiga Toxin ◽  
Neurological Symptoms ◽  
Fluid Loss ◽  
Good Prediction ◽  
E Coli ◽  
Complicated Course ◽  
Uremic Syndrome

Abstract Background Hemoconcentration has been identified as a risk factor for a complicated course in Shiga toxin-producing E. coli-hemolytic uremic syndrome (STEC-HUS). This single-center study assesses hemoconcentration and predictors at presentation in STEC-HUS treated from 2009–2017. Methods Data of 107 pediatric patients with STEC-HUS were analyzed retrospectively. Patients with mild HUS (mHUS, definition: max. serum creatinine < 1.5 mg/dL and no major neurological symptoms) were compared to patients with severe HUS (sHUS, definition: max. serum creatinine ≥ 1.5 mg/dL ± major neurological symptoms). Additionally, predictors of complicated HUS (dialysis ± major neurological symptoms) were analyzed. Results Sixteen of one hundred seven (15%) patients had mHUS. Admission of patients with sHUS occurred median 2 days earlier after the onset of symptoms than in patients with mHUS. On admission, patients with subsequent sHUS had significantly higher median hemoglobin (9.5 g/dL (3.6–15.7) vs. 8.5 g/dL (4.2–11.5), p = 0.016) than patients with mHUS. The product of hemoglobin (g/dL) and LDH (U/L) (cutoff value 13,302, sensitivity 78.0%, specificity of 87.5%) was a predictor of severe vs. mild HUS. Creatinine (AUC 0.86, 95% CI 0.79–0.93) and the previously published score hemoglobin (g/dL) + 2 × creatinine (mg/dL) showed a good prediction for development of complicated HUS (AUC 0.87, 95% CI 0.80–0.93). Conclusions At presentation, patients with subsequent severe STEC-HUS had a higher degree of hemoconcentration. This underlines that fluid loss or reduced fluid intake/administration may be a risk factor for severe HUS. The good predictive value of the score hemoglobin (g/dL) + 2 × creatinine (mg/dL) for complicated HUS could be validated in our cohort. Graphical abstract

scholarly journals Molecular characterization of Irish E. coli O157:H7 isolates of human, bovine, ovine and porcine origin

2009 ◽  
Vol 107 (4) ◽  
pp. 1340-1349 ◽  
Author(s):  
M. Lenahan ◽  
S.B. O’Brien ◽  
C. Byrne ◽  
M. Ryan ◽  
C.-A. Kennedy ◽  
...  
Keyword(s):  
Molecular Characterization ◽  
E Coli ◽  
Porcine Origin
Sign in / Sign up

Export Citation Format

Share Document