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Rodríguez-Temporal D, García-Cañada JE, Candela A, Oteo-Iglesias J, Serrano-Lobo J, Pérez-Vázquez M, Rodríguez-Sánchez B, Cercenado E. Characterization of an outbreak caused by Elizabethkingia miricola using Fourier-transform infrared (FTIR) spectroscopy. Eur J Clin Microbiol Infect Dis 2024; 43:797-803. [PMID: 38356016 DOI: 10.1007/s10096-024-04764-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 01/14/2024] [Indexed: 02/16/2024]
Abstract
Fourier-transform infrared (FTIR) spectroscopy has the potential to be used for bacterial typing and outbreak characterization. We evaluated FTIR for the characterization of an outbreak caused by Elizabethkingia miricola. During the 2020-2021 period, 26 isolates (23 clinical and 3 environmental) were collected and analyzed by FTIR (IR Biotyper) and core-genome MLST (cgMLST), in addition to antimicrobial susceptibility testing. FTIR spectroscopy and cgMLST showed that 22 of the isolates were related to the outbreak, including the environmental samples, with only one discordance between both methods. Then, FTIR is useful for E. miricola typing and can be easily implemented in the laboratory.
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Affiliation(s)
- David Rodríguez-Temporal
- Clinical Microbiology and Infectious Diseases Department, Hospital General Universitario Gregorio Marañón, Doctor Esquerdo, 46, 28007, Madrid, Spain.
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.
| | - Javier Enrique García-Cañada
- Laboratorio de Referencia e Investigación en Resistencia a Antibióticos, Centro Nacional de Microbiología, ISCIII, Majadahonda, Spain
- CIBER de Enfermedades Infecciosas (CIBERINFEC), Madrid, Spain
| | - Ana Candela
- Clinical Microbiology and Infectious Diseases Department, Hospital General Universitario Gregorio Marañón, Doctor Esquerdo, 46, 28007, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | - Jesús Oteo-Iglesias
- Laboratorio de Referencia e Investigación en Resistencia a Antibióticos, Centro Nacional de Microbiología, ISCIII, Majadahonda, Spain
- CIBER de Enfermedades Infecciosas (CIBERINFEC), Madrid, Spain
| | - Julia Serrano-Lobo
- Clinical Microbiology and Infectious Diseases Department, Hospital General Universitario Gregorio Marañón, Doctor Esquerdo, 46, 28007, Madrid, Spain
| | - María Pérez-Vázquez
- Laboratorio de Referencia e Investigación en Resistencia a Antibióticos, Centro Nacional de Microbiología, ISCIII, Majadahonda, Spain
- CIBER de Enfermedades Infecciosas (CIBERINFEC), Madrid, Spain
| | - Belén Rodríguez-Sánchez
- Clinical Microbiology and Infectious Diseases Department, Hospital General Universitario Gregorio Marañón, Doctor Esquerdo, 46, 28007, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | - Emilia Cercenado
- Clinical Microbiology and Infectious Diseases Department, Hospital General Universitario Gregorio Marañón, Doctor Esquerdo, 46, 28007, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
- CIBER de Enfermedades Respiratorias (CIBERES), Madrid, Spain
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Ortega-Sanz I, Barbero-Aparicio JA, Canepa-Oneto A, Rovira J, Melero B. CamPype: an open-source workflow for automated bacterial whole-genome sequencing analysis focused on Campylobacter. BMC Bioinformatics 2023; 24:291. [PMID: 37474912 PMCID: PMC10357626 DOI: 10.1186/s12859-023-05414-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 07/14/2023] [Indexed: 07/22/2023] Open
Abstract
BACKGROUND The rapid expansion of Whole-Genome Sequencing has revolutionized the fields of clinical and food microbiology. However, its implementation as a routine laboratory technique remains challenging due to the growth of data at a faster rate than can be effectively analyzed and critical gaps in bioinformatics knowledge. RESULTS To address both issues, CamPype was developed as a new bioinformatics workflow for the genomics analysis of sequencing data of bacteria, especially Campylobacter, which is the main cause of gastroenteritis worldwide making a negative impact on the economy of the public health systems. CamPype allows fully customization of stages to run and tools to use, including read quality control filtering, read contamination, reads extension and assembly, bacterial typing, genome annotation, searching for antibiotic resistance genes, virulence genes and plasmids, pangenome construction and identification of nucleotide variants. All results are processed and resumed in an interactive HTML report for best data visualization and interpretation. CONCLUSIONS The minimal user intervention of CamPype makes of this workflow an attractive resource for microbiology laboratories with no expertise in bioinformatics as a first line method for bacterial typing and epidemiological analyses, that would help to reduce the costs of disease outbreaks, or for comparative genomic analyses. CamPype is publicly available at https://github.com/JoseBarbero/CamPype .
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Affiliation(s)
- Irene Ortega-Sanz
- Department of Biotechnology and Food Science, University of Burgos, 09006, Burgos, Spain
| | | | | | - Jordi Rovira
- Department of Biotechnology and Food Science, University of Burgos, 09006, Burgos, Spain
| | - Beatriz Melero
- Department of Biotechnology and Food Science, University of Burgos, 09006, Burgos, Spain.
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Alcolea-Medina A, Snell LB, Alder C, Charalampous T, Williams TGS, Tan MKI, Al-Yaakoubi N, Humayun G, Newsholme W, Goldenberg S, Nebbia G, Neil SJD, Batra R, Edgeworth JD. The ongoing Streptococcus pyogenes (Group A Streptococcus) outbreak in London, United Kingdom, in December 2022: a molecular epidemiology study. Clin Microbiol Infect 2023; 29:887-890. [PMID: 36925107 PMCID: PMC10769882 DOI: 10.1016/j.cmi.2023.03.001] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 02/27/2023] [Accepted: 03/05/2023] [Indexed: 03/17/2023]
Abstract
OBJECTIVES Epidemiological and whole-genome sequencing analysis of an ongoing outbreak of Streptococcus pyogenes (Group A Streptococcus) in London (United Kingdom). METHODS Prospective identification of Group A Streptococcus cases from a diagnostic laboratory serving central and south London between 27 November and 10 December 2022. Case notes were reviewed and isolates were retrieved. Case numbers were compared with the previous 5 years. Whole-genome sequencing was performed with long-read, nanopore technology for emm typing and identification of superantigen genes. Associations of pathogen-related factors with an invasive disease were assessed by single-variable and multi-variable logistic regression. RESULTS Case numbers began increasing in October 2022 from a baseline of 2.0 cases per day, and in December 2022, the average daily case numbers reached 10.8 cases per day, four-fold the number usually seen in winter. A total of 113 cases were identified during the prospective study period. Three quarters (86/113, 76%) were paediatric cases, including 2 deaths. Of 113 cases, 11 (10%) were invasive. In total, 56 isolates were successfully sequenced, including 10 of 11 (91%) invasive isolates. The emm12 (33/56, 59%) and emm1 (9/56, 16%) types were predominant, with 7 of 9 (78%) emm1 isolates being from the M1uk clone. The majority of invasive isolates had superantigen genes spea (7/10, 70%) and spej (8/10, 80%), whereas, in non-invasive isolates, these superantigen genes were found less frequently (spea: 5/46, 11% and spej: 7/46, 15%). By multivariable analysis of pathogen-related factors, spea (OR 8.9, CI 1.4-57, p 0.020) and spej (OR 12, CI 1.8-78, p 0.011) were associated with invasive disease. CONCLUSIONS emm12 and emm1 types predominate in the ongoing outbreak, which mainly affects children. In this outbreak, the spea and spej superantigen genes are associated with the severity of presentation.
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Affiliation(s)
- Adela Alcolea-Medina
- Department of Infectious Diseases, King's College London, London, UK; Infection Sciences, Synnovis, London, UK
| | - Luke B Snell
- Department of Infectious Diseases, King's College London, London, UK; Centre for Clinical Diagnostics & Infectious Disease Research, Guy's & St. Thomas' NHS Foundation Trust, London, UK.
| | - Christopher Alder
- Centre for Clinical Diagnostics & Infectious Disease Research, Guy's & St. Thomas' NHS Foundation Trust, London, UK
| | | | - Tom G S Williams
- Centre for Clinical Diagnostics & Infectious Disease Research, Guy's & St. Thomas' NHS Foundation Trust, London, UK
| | - Mark K I Tan
- Centre for Clinical Diagnostics & Infectious Disease Research, Guy's & St. Thomas' NHS Foundation Trust, London, UK
| | - Noor Al-Yaakoubi
- Centre for Clinical Diagnostics & Infectious Disease Research, Guy's & St. Thomas' NHS Foundation Trust, London, UK
| | - Gul Humayun
- Centre for Clinical Diagnostics & Infectious Disease Research, Guy's & St. Thomas' NHS Foundation Trust, London, UK
| | - William Newsholme
- Department of Infection, Guy's & St. Thomas' NHS Foundation Trust, London, UK
| | - Simon Goldenberg
- Centre for Clinical Diagnostics & Infectious Disease Research, Guy's & St. Thomas' NHS Foundation Trust, London, UK; Department of Infection, Guy's & St. Thomas' NHS Foundation Trust, London, UK
| | - Gaia Nebbia
- Centre for Clinical Diagnostics & Infectious Disease Research, Guy's & St. Thomas' NHS Foundation Trust, London, UK
| | - Stuart J D Neil
- Department of Infectious Diseases, King's College London, London, UK
| | - Rahul Batra
- Centre for Clinical Diagnostics & Infectious Disease Research, Guy's & St. Thomas' NHS Foundation Trust, London, UK
| | - Jonathan D Edgeworth
- Department of Infectious Diseases, King's College London, London, UK; Centre for Clinical Diagnostics & Infectious Disease Research, Guy's & St. Thomas' NHS Foundation Trust, London, UK
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Teng ASJ, Habermehl PE, van Houdt R, de Jong MD, van Mansfeld R, Matamoros SPF, Spijkerman IJB, van Meer MPA, Visser CE. Comparison of fast Fourier transform infrared spectroscopy biotyping with whole genome sequencing-based genotyping in common nosocomial pathogens. Anal Bioanal Chem 2022. [PMID: 35962141 DOI: 10.1007/s00216-022-04270-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 07/28/2022] [Accepted: 08/08/2022] [Indexed: 11/28/2022]
Abstract
Early detection of bacterial transmission and outbreaks in hospitals is important because nosocomial infections can result in health complications and longer hospitalization. Current practice to detect outbreaks uses genotyping methods amplified fragment length polymorphism (AFLP) and whole genome sequencing (WGS), which are not suitable methods for real-time transmission screening of both susceptible and resistant bacteria. The aim was to assess the typing technique Fourier transform infrared (FTIR) spectroscopy as real-time screening method to discriminate large amounts of susceptible and resistant bacteria at strain level when there is no evident outbreak in comparison with the WGS reference. Isolates of past hospital outbreak strains of Acinetobacter baumannii/calcoaceticus complex (n = 25), Escherichia coli (n = 31), Enterococcus faecium (n = 22), Staphylococcus aureus (n = 37) and Pseudomonas aeruginosa (n = 30) were used for validation of FTIR. Subsequently, Enterococcus faecalis (n = 106) and Enterococcus faecium (n = 104) isolates from weekly routine screening samples when no potential outbreak was present were analysed. FTIR showed reproducibility and congruence of cluster composition with WGS for A. baumannii/calcoaceticus complex and E. faecium outbreak isolates. The FTIR results of E. faecalis and E. faecium isolates from routine samples showed reproducibility, but the congruence of cluster composition with WGS was low. For A. baumannii/calcoaceticus complex and E. faecium outbreak isolates, FTIR appears to be a discriminatory typing tool. However, our study shows the discriminatory power is too low to screen real-time for transmission of E. faecium and E. faecalis at patient wards based on isolates acquired in routine surveillance cultures when there is no clear suspicion of an ongoing outbreak.
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Xie J, Yang F, Shi H, Yan J, Shen H, Yu S, Gan N, Feng B, Wang L. Protein FT-IR amide bands are beneficial to bacterial typing. Int J Biol Macromol 2022; 207:358-364. [PMID: 35245578 DOI: 10.1016/j.ijbiomac.2022.02.161] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 02/24/2022] [Accepted: 02/25/2022] [Indexed: 12/28/2022]
Abstract
Bacterial FT-IR signals are extremely specific and highly reproducible, making FT-IR an efficient tool for bacterial typing at the subspecies level. The polysaccharide and nucleic acid FT-IR regions (1200-900 cm-1) are recommended as a precise and reproducible pattern for bacterial typing. However, proteins are the major macromolecules present in bacteria, and the FT-IR spectral region of proteins (1800-1300 cm-1) is conceivably an important factor in bacterial typing. In this study, we investigated the influence of water on bacterial protein amide bands by comparing spectra obtained with and without FT-IR system dehydration. Eight Escherichia coli, ten Klebsiella pneumoniae, and eleven Staphylococcus aureus strains were typed by FT-IR under different conditions in a blinded experimental setup. Hierarchical clustering analysis (HCA) showed that, when protein signals were included (1800-900 cm-1), the typing accuracies for select E. coli, K. pn and S. aureus strains without system dehydration were 50%, 30% and 18.2%, respectively. However, the accuracies greatly improved to 100%, 90% and 90.9% when the FT-IR system was dehydrated. These results indicate that the FT-IR signals of protein amide bands are beneficial for bacterial typing.
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Affiliation(s)
- Jinghang Xie
- Zhejiang Provincial Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis, Institute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Fan Yang
- Kweichow Moutai Group, Renhuai, Guizhou 564501, China
| | - Haimei Shi
- Zhejiang Provincial Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis, Institute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Jintao Yan
- Zhejiang Provincial Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis, Institute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Hao Shen
- Zhejiang Provincial Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis, Institute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Shaoning Yu
- Zhejiang Provincial Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis, Institute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Ning Gan
- Zhejiang Provincial Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis, Institute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Bin Feng
- Zhejiang Provincial Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis, Institute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo, Zhejiang 315211, China.
| | - Li Wang
- Kweichow Moutai Group, Renhuai, Guizhou 564501, China.
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Perini M, Batisti Biffignandi G, Di Carlo D, Pasala AR, Piazza A, Panelli S, Zuccotti GV, Comandatore F. MeltingPlot, a user-friendly online tool for epidemiological investigation using High Resolution Melting data. BMC Bioinformatics 2021; 22:76. [PMID: 33602119 PMCID: PMC7891011 DOI: 10.1186/s12859-021-04020-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 02/11/2021] [Indexed: 11/18/2022] Open
Abstract
Background The rapid identification of pathogen clones is pivotal for effective epidemiological control strategies in hospital settings. High Resolution Melting (HRM) is a molecular biology technique suitable for fast and inexpensive pathogen typing protocols. Unfortunately, the mathematical/informatics skills required to analyse HRM data for pathogen typing likely limit the application of this promising technique in hospital settings. Results MeltingPlot is the first tool specifically designed for epidemiological investigations using HRM data, easing the application of HRM typing to large real-time surveillance and rapid outbreak reconstructions. MeltingPlot implements a graph-based algorithm designed to discriminate pathogen clones on the basis of HRM data, producing portable typing results. The tool also merges typing information with isolates and patients metadata to create graphical and tabular outputs useful in epidemiological investigations and it runs in a few seconds even with hundreds of isolates. Availability: https://skynet.unimi.it/index.php/tools/meltingplot/. Conclusions The analysis and result interpretation of HRM typing protocols can be not trivial and this likely limited its application in hospital settings. MeltingPlot is a web tool designed to help the user to reconstruct epidemiological events by combining HRM-based clustering methods and the isolate/patient metadata. The tool can be used for the implementation of HRM based real time large scale surveillance programs in hospital settings.
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Affiliation(s)
- Matteo Perini
- Department of Biomedical and Clinical Sciences "L. Sacco", Pediatric Clinical Research Center "Romeo and Enrica Invernizzi", Università Di Milano, 20157, Milan, Italy
| | - Gherard Batisti Biffignandi
- Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, 27100, Italia
| | - Domenico Di Carlo
- Department of Biomedical and Clinical Sciences "L. Sacco", Pediatric Clinical Research Center "Romeo and Enrica Invernizzi", Università Di Milano, 20157, Milan, Italy
| | - Ajay Ratan Pasala
- Department of Biomedical and Clinical Sciences "L. Sacco", Pediatric Clinical Research Center "Romeo and Enrica Invernizzi", Università Di Milano, 20157, Milan, Italy
| | - Aurora Piazza
- Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, 27100, Italia
| | - Simona Panelli
- Department of Biomedical and Clinical Sciences "L. Sacco", Pediatric Clinical Research Center "Romeo and Enrica Invernizzi", Università Di Milano, 20157, Milan, Italy
| | - Gian Vincenzo Zuccotti
- Department of Biomedical and Clinical Sciences "L. Sacco", Pediatric Clinical Research Center "Romeo and Enrica Invernizzi", Università Di Milano, 20157, Milan, Italy.,Department of Pediatrics, Children's Hospital Vittore Buzzi, Università Di Milano, Milan, Italy
| | - Francesco Comandatore
- Department of Biomedical and Clinical Sciences "L. Sacco", Pediatric Clinical Research Center "Romeo and Enrica Invernizzi", Università Di Milano, 20157, Milan, Italy.
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Abstract
Plasmids identification and classification is an essential parameter in current bacterial typing. The most widely used PCR-based methods are the PCR-based replicon typing (PBRT) and the degenerate primer MOB typing (DPMT). PBRT targets the replicons on the plasmids and DPMT targets the relaxase genes. A finer resolution of phylogenetic relatedness can be obtained by plasmid multiLocus sequence typing available for the major plasmid types occurring in Enterobacteriaceae.
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Eklund M, Aaltonen K, Sironen T, Raunio-Saarnisto M, Grönthal T, Nordgren H, Pitkälä A, Vapalahti O, Rantala M. Comparison of Streptococcus halichoeri isolates from canine and fur animal infections: biochemical patterns, molecular characteristics and genetic relatedness. Acta Vet Scand 2020; 62:26. [PMID: 32493395 PMCID: PMC7271505 DOI: 10.1186/s13028-020-00525-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Accepted: 05/28/2020] [Indexed: 11/10/2022] Open
Abstract
Background Streptococcus halichoeri infections have been reported in grey seals, a European badger, a Stellar sea lion and humans, but its presence in companion and fur animals is unknown. Since 2010, S. halichoeri-like bacteria (SHL) have been isolated from fur animals and dogs in Finland. Our aim was to retrospectively investigate laboratory records for SHL from canine and fur animal infections, characterize the isolates and compare their genetic relatedness in relation to three reference strains: CCUG 48324T, originating from a grey seal, and strains 67100 and 61265, originally isolated from humans. Results A total of 138 and 36 SHLs from canine and fur animal infections, respectively, were identified in the laboratory records. SHL was commonly associated with skin infections, but rarely as the only species. A set of 49 canine and 23 fur animal SHLs were further characterized. MALDI-TOF confirmed them as being S. halichoeri. The growth characteristics were consistent with the original findings, but isolates were catalase positive. In total, 17 distinct API 20 Strep patterns were recorded among all 75 isolates tested, of which pattern 5563100 was the most common (n = 30). Antimicrobial resistance to erythromycin and clindamycin was common in canine isolates, but rare in fur animal isolates. Three clusters were observed by PFGE, and 16S rRNA sequencing revealed 98.1–100% similarities with the human strains and 98.1–99.5% with the seal strain. A phylogenetic tree of concatenated 16S rRNA and rpoB revealed closely related isolates with two clades. Fifteen canine isolates were identical to the human strains based on concatenated 16S rRNA and rpoB sequencing. Conclusions Streptococcus halichoeri appears to be quite a common bacterial species in the skin of dogs and fur animals. The clinical significance of S. halichoeri is uncertain, as it was rarely isolated as a monoculture. No apparent temporal or spatial clustering was detected, but isolates from different sources were genetically very similar. Because many canine isolates were genetically similar to the human reference strains, transmission between dogs and humans may be possible. WGS sequencing of strains from different sources is needed to further investigate the epidemiology and virulence of S. halichoeri.
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Carattoli A, Hasman H. PlasmidFinder and In Silico pMLST: Identification and Typing of Plasmid Replicons in Whole-Genome Sequencing (WGS). Methods Mol Biol 2020; 2075:285-94. [PMID: 31584170 DOI: 10.1007/978-1-4939-9877-7_20] [Citation(s) in RCA: 218] [Impact Index Per Article: 54.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
PlasmidFinder and in silico plasmid multiLocus sequence typing (pMLST) are two easy-to-use web tools for detection and characterization of plasmid sequences in whole-genome sequencing (WGS) data from Enterobacteriaceae. These tools have been adopted worldwide and facilitate plasmid detection and typing based on draft genomes of multi-drug-resistant Enterobacteriaceae. The PlasmidFinder database currently includes 133 unique plasmid replicon sequences. It was built starting with 126 sequences devised on fully sequenced plasmids available at the NCBI nucleotide database in 2014 and has been continuously updated to include novel replicons detected in more recently sequenced plasmids associated with the family Enterobacteriaceae. PlasmidFinder is usable for replicon sequence analysis of raw as well as assembled sequencing data. For pMLST analysis, a weekly updated database was generated from www.pubmlst.org and integrated into a web tool called in silico pMLST.
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Jiang F, Kong Z, Cheng C, Kang H, Gu B, Ma P. Overestimated discriminatory power of MALDI-TOF mass spectrometry for typing of carbapenem-resistant Klebsiella pneumoniae clones. Epidemiol Infect 2019; 147:e324. [PMID: 31845635 DOI: 10.1017/S0950268819002097] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Homology surveillance of carbapenem-resistant Klebsiella pneumoniae (CRKP) is critical to monitor and prevent outbreaks of nosocomial infections. In the present study, a matrix-assisted laser desorption/ionisation-time of flight (MALDI-TOF MS)-based method was evaluated as a rapid tool for typing CRKP in comparison with pulsed-field gel electrophoresis (PFGE) and multi locus sequence typing (MLST). Drug-resistant phenotypes and genotypes of 44 CRKP isolates were detected by microdilution broth method and polymerase chain reaction, and typed by PFGE, MLST and MALDI-TOF MS. Simpson's Index of Diversity was used to evaluate taxonomic diversity, Adjusted Rand Index (ARI) for congruence between the typing methods and Wallace coefficients (W) for the ability of either method to predict each other. Forty-four CRKP isolates of 15 sequence types (STs) produced either NDM-1 (n = 16), NDM-5 (n = 9) or KPC-2 (n = 19) carbapenemases. PFGE differentiated these isolates into 16 distinct types, and two deoxyribonucleic acid profiles were assigned to ST337 and ST11, respectively. MALDI-TOF MS failed to clearly delineate between clusters on dendrograms based on principal components analysis and main spectrum profile. The chosen parameters resulted in a maximum ARI of 0.310 (95% CI 0.088-0.531) between MALDI-TOF MS typing and the PFGE reference, indicating a low ability of the former to correctly identify related isolates. Likewise, the maximum W coefficient of 0.367 (95% CI 0.203-0.532) showed that MALDI-TOF MS had a lower predictive power than PFGE. We conclude that MALDI-TOF MS lacks the discriminatory power necessary for clone assignment of CRKP isolates and consequently cannot be considered as a rapid and creditable method for this purpose.
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Wendel AF, Malecki M, Otchwemah R, Tellez-Castillo CJ, Sakka SG, Mattner F. One-year molecular surveillance of carbapenem-susceptible A. baumannii on a German intensive care unit: diversity or clonality. Antimicrob Resist Infect Control 2018; 7:145. [PMID: 30505434 PMCID: PMC6260569 DOI: 10.1186/s13756-018-0436-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Accepted: 11/08/2018] [Indexed: 12/19/2022] Open
Abstract
Background A. baumannii is a common nosocomial pathogen known for its high transmission potential. A high rate of carbapenem-susceptible Acinetobacter calcoaceticus-Acinetobacter baumannii (ACB)-complex in clinical specimens led to the implementation of a pathogen-based surveillance on a 32-bed surgical intensive care unit (SICU) in a German tertiary care centre. Methods Between April 2017 and March 2018, ACB-complex isolates with an epidemiological link to the SICU were further assessed. Identification to the species level was carried out using a multiplex PCR targeting the gyrB gene, followed by RAPD, PFGE (ApaI) and whole genome sequencing (WGS, core genome MLST, SeqSphere+ software, Ridom). Additional infection prevention and control (IPC) measures were introduced as follows: epidemiological investigations, hand hygiene training, additional terminal cleaning and disinfection incl. UV-light, screening for carbapenem-susceptible A. baumannii and environmental sampling. Hospital-acquired infections were classified according to the CDC definitions. Results Fourty four patients were colonized/infected with one or two (different) carbapenem-susceptible ACB-complex isolates. Fourty three out of 48 isolates were classified as hospital-acquired (detection on or after 3rd day of admission). Nearly all isolates were identified as A. baumannii, only four as A. pittii. Twelve patients developed A. baumannii infections. Genotyping revealed two pulsotype clusters, which were confirmed to be cgMLST clonal cluster type 1770 (n = 8 patients) and type 1769 (n = 12 patients) by WGS. All other isolates were distinct from each other. Nearly all transmission events of the two clonal clusters were confirmed by conventional epidemiology. Transmissions stopped after a period of several months. Environmental sampling revealed a relevant dissemination of A. baumannii, but only a few isolates corresponded to clinical strains. Introduction of the additional screening revealed a significantly earlier detection of carbapenem-susceptible A. baumannii during hospitalization. Conclusions A molecular and infection surveillance of ACB-complex based on identification to the species level, classic epidemiology and genotyping revealed simultaneously occurring independent transmission events and clusters of hospital-acquired A. baumannii. This underlines the importance of such an extensive surveillance methodology in IPC programmes also for carbapenem-susceptible A. baumannii.
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Affiliation(s)
- Andreas F Wendel
- 1Institute of Hygiene, University Hospital I of Witten/Herdecke, Cologne Merheim Medical Centre, Cologne, Germany
| | - Monika Malecki
- 1Institute of Hygiene, University Hospital I of Witten/Herdecke, Cologne Merheim Medical Centre, Cologne, Germany
| | - Robin Otchwemah
- 1Institute of Hygiene, University Hospital I of Witten/Herdecke, Cologne Merheim Medical Centre, Cologne, Germany
| | | | - Samir G Sakka
- 3Department of Anesthesiology and Operative Intensive Care Medicine, University of Witten/Herdecke, Cologne Merheim Medical Centre, Cologne, Germany
| | - Frauke Mattner
- 1Institute of Hygiene, University Hospital I of Witten/Herdecke, Cologne Merheim Medical Centre, Cologne, Germany
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Nutman A, Marchaim D. How to: molecular investigation of a hospital outbreak. Clin Microbiol Infect 2019; 25:688-95. [PMID: 30287413 DOI: 10.1016/j.cmi.2018.09.017] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2017] [Revised: 09/19/2018] [Accepted: 09/23/2018] [Indexed: 12/11/2022]
Abstract
BACKGROUND Studying hospital outbreaks by using molecular tools, i.e. synthesizing the molecular epidemiology data to its appropriate clinical-epidemiologic context, is crucial in order to identify infection source, infer transmission dynamics, appropriately allocate prevention resources and implement control measures. Whole-genome sequencing (WGS) of pathogens has become the reference standard, as it is becoming more accessible and affordable. Consequently, sequencing of the full pathogen genome via WGS and major progress in fit-for-purpose genomic data analysis tools and interpretation is revolutionizing the field of outbreak investigations in hospitals. Metagenomics is an additional evolving field that might become commonly used in the future for outbreak investigations. Nevertheless, practitioners are frequently limited in terms of WGS or metagenomics, especially for local outbreak analyses, as a result of costs or logistical considerations, reduced or lack of locally available resources and/or expertise. As a result, traditional approaches, including pulsed-field gel electrophoresis, repetitive-element palindromic PCR and multilocus sequence typing, along with other typing methods, are still widely used. AIMS To provide practitioners with evidenced-based action plans for usage of the various typing techniques in order to investigate the molecular epidemiology of nosocomial outbreaks, of clinically significant pathogens in acute-care hospitals. SOURCES PubMed search with relevant keywords along with personal collection of relevant publications. CONTENT Representative case scenarios and critical review of the relevant scientific literature. IMPLICATIONS The review provides practical action plans to manage molecular epidemiologic investigations of outbreaks caused by clinically significant nosocomial pathogens, while prioritizing the use and timely integration of the various methodologies.
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Arenas Rodrigues VA, de Avila ED, Nakano V, Avila-Campos MJ. Qualitative, quantitative and genotypic evaluation of Aggregatibacter actinomycetemcomitans and Fusobacterium nucleatum isolated from individuals with different periodontal clinical conditions. Anaerobe 2018; 52:50-58. [PMID: 29857043 DOI: 10.1016/j.anaerobe.2018.05.015] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2017] [Revised: 04/26/2018] [Accepted: 05/28/2018] [Indexed: 02/06/2023]
Abstract
Aggregatibacter actinomycetemcomitans and Fusobacterium nucleatum are strongly associated with periodontitis, and their evaluations are relevant to understand their role in the etiology and progression of periodontal diseases. In this study, the qualitative and quantitative detection of A. actinomycetemcomitans and F. nucleatum, as well as their genetic diversity, were evaluated in individuals with gingivitis, chronic periodontitis and periodontally healthy. In addition, the biotyping, serotyping, and prevalence of the ltx and cdt genes in A. actinomycetemcomitans were also determined. Subgingival biofilms obtained from gingivitis (70), periodontitis (75) and healthy (95) individuals were analyzed by cultures and PCR. Bacterial typing and presence of ltx and cdt genes in A. actinomycetemcomitans were also verified. DNA from A. actinomycetemcomitans and F. nucleatum was detected respectively, in 65.7% and 57.1% of gingivitis, 80% and 68% of periodontitis, and 57.8% and 37.8% of healthy. A. actinomycetemcomitans from gingivitis were biotypes I, II, IV, V, and X, and serotypes a, c, and e. In periodontitis, biotypes II, VI, and X, and serotypes a, b, and c were found. In healthy subjects, biotypes II and X, and serotypes b and c were found. The LTX and ltxA were observed in strains from gingivitis and periodontitis pockets. Subsequently, our data also showed no direct relationship between ltxA gene expression and leukotoxin gene 530-bp presence. On the other hand, cdt gene predominated during the inflammatory disease process. Our results strongly support a role of A. actinomycetemcomitans and F. nucleatum in advanced stage of periodontal disease.
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Affiliation(s)
- Viviane Aparecida Arenas Rodrigues
- Anaerobe Laboratory, Department of Microbiology, Institute of Biomedical Sciences, University of Sao Paulo - USP, Av. Prof. Lineu Prestes, 1374, Sao Paulo, SP, Brazil
| | - Erica Dorigatti de Avila
- Postdoctoral Research Fellow, Department of Dental Materials and Prosthodontics, School of Dentistry of Araraquara, Sao Paulo State University - UNESP, Rua Humaita, 1680, Araraquara, SP, Brazil; Department of Biomaterials, Radboud University Medical Center, Philips van Leydenlaan 25, Nijmegen, the Netherlands
| | - Viviane Nakano
- Anaerobe Laboratory, Department of Microbiology, Institute of Biomedical Sciences, University of Sao Paulo - USP, Av. Prof. Lineu Prestes, 1374, Sao Paulo, SP, Brazil
| | - Mario Julio Avila-Campos
- Anaerobe Laboratory, Department of Microbiology, Institute of Biomedical Sciences, University of Sao Paulo - USP, Av. Prof. Lineu Prestes, 1374, Sao Paulo, SP, Brazil.
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14
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Hofmann W. [Chameleon spondylodiscitis : Challenge for geriatricians]. Nervenarzt 2018; 89:705-718. [PMID: 29808417 DOI: 10.1007/s00115-018-0546-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
Abstract
The incidence of spondylodiscitis is increasing and attributable to an aging population with multimorbidities. Spondylodiscitis represents a life-threatening disease. Typical clinical manifestations often involve nonspecific symptoms with back pain; however, due to the frequent absence of fever the disease is often overlooked. Pathogen detection and spinal imaging with magnetic resonance imaging (MRI) are essential for the diagnosis. Identification of the causative pathogen is particularly important for initiating targeted antibiotic treatment. Debridement and stabilization are the mainstays of surgical management, even though foreign material must be implanted into the focus of inflammation.
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Affiliation(s)
- Werner Hofmann
- Geriatrisches Zentrum Neumünster & Bad Bramstedt, Friesenstr. 11, 24534, Neumünster, Deutschland.
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15
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MIKHAIL AFW, JENKINS C, DALLMAN TJ, INNS T, DOUGLAS A, MARTÍN AIC, FOX A, CLEARY P, ELSON R, HAWKER J. An outbreak of Shiga toxin-producing Escherichia coli O157:H7 associated with contaminated salad leaves: epidemiological, genomic and food trace back investigations. Epidemiol Infect 2018; 146:187-196. [PMID: 29248018 PMCID: PMC9134740 DOI: 10.1017/s0950268817002874] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2017] [Revised: 11/18/2017] [Accepted: 11/21/2017] [Indexed: 11/06/2022] Open
Abstract
In August 2015, Public Health England detected an outbreak of Shiga toxin-producing Escherichia coli (STEC) serotype O157:H7 caused by contaminated salad leaves in a mixed leaf prepacked salad product from a national retailer. The implicated leaves were cultivated at five different farms and the zoonotic source of the outbreak strain was not determined. In March 2016, additional isolates from new cases were identified that shared a recent common ancestor with the outbreak strain. A case-case study involving the cases identified in 2016 revealed that ovine exposures were associated with illness (n = 16; AOR 8·24; 95% CI 1·55-39·74). By mapping the recent movement of sheep and lambs across the United Kingdom, epidemiological links were established between the cases reporting ovine exposures. Given the close phylogenetic relationship between the outbreak strain and the isolates from cases with ovine exposures, it is plausible that ovine faeces may have contaminated the salad leaves via untreated irrigation water or run-off from fields nearby. Timely and targeted veterinary and environmental sampling should be considered during foodborne outbreaks of STEC, particularly where ready to eat vegetables and salads are implicated.
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Affiliation(s)
| | - C. JENKINS
- National Infection Service, Public Health England, London, UK
| | - T. J. DALLMAN
- National Infection Service, Public Health England, London, UK
| | - T. INNS
- Field Epidemiology Services, Public Health England, London, UK
- NIHR Health Protection Research Unit in Gastrointestinal Infections, London, UK
| | - A. DOUGLAS
- National Infection Service, Public Health England, London, UK
| | - A. I. C. MARTÍN
- European Program for Intervention Epidemiology Training (EPIET), European Centre for Disease Prevention and Control, (ECDC), Stockholm, Sweden
| | - A. FOX
- National Infection Service, Public Health England, London, UK
| | - P. CLEARY
- Field Epidemiology Services, Public Health England, London, UK
- NIHR Health Protection Research Unit in Gastrointestinal Infections, London, UK
| | - R. ELSON
- National Infection Service, Public Health England, London, UK
| | - J. HAWKER
- Field Epidemiology Services, Public Health England, London, UK
- NIHR Health Protection Research Unit in Gastrointestinal Infections, London, UK
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16
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Rossen JWA, Friedrich AW, Moran-Gilad J. Practical issues in implementing whole-genome-sequencing in routine diagnostic microbiology. Clin Microbiol Infect 2017; 24:355-360. [PMID: 29117578 DOI: 10.1016/j.cmi.2017.11.001] [Citation(s) in RCA: 153] [Impact Index Per Article: 21.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2017] [Revised: 10/30/2017] [Accepted: 11/01/2017] [Indexed: 12/15/2022]
Abstract
BACKGROUND Next generation sequencing (NGS) is increasingly being used in clinical microbiology. Like every new technology adopted in microbiology, the integration of NGS into clinical and routine workflows must be carefully managed. AIM To review the practical aspects of implementing bacterial whole genome sequencing (WGS) in routine diagnostic laboratories. SOURCES Review of the literature and expert opinion. CONTENT In this review, we discuss when and how to integrate whole genome sequencing (WGS) in the routine workflow of the clinical laboratory. In addition, as the microbiology laboratories have to adhere to various national and international regulations and criteria for their accreditation, we deliberate on quality control issues for using WGS in microbiology, including the importance of proficiency testing. Furthermore, the current and future place of this technology in the diagnostic hierarchy of microbiology is described as well as the necessity of maintaining backwards compatibility with already established methods. Finally, we speculate on the question of whether WGS can entirely replace routine microbiology in the future and the tension between the fact that most sequencers are designed to process multiple samples in parallel whereas for optimal diagnosis a one-by-one processing of the samples is preferred. Special reference is made to the cost and turnaround time of WGS in diagnostic laboratories. IMPLICATIONS Further development is required to improve the workflow for WGS, in particular to shorten the turnaround time, reduce costs, and streamline downstream data analyses. Only when these processes reach maturity will reliance on WGS for routine patient management and infection control management become feasible, enabling the transformation of clinical microbiology into a genome-based and personalized diagnostic field.
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Affiliation(s)
- J W A Rossen
- University of Groningen, University Medical Center Groningen, Department of Medical Microbiology, Groningen, The Netherlands; European Society for Clinical Microbiology and Infectious Diseases (ESCMID) Study Group for Genomic and Molecular Diagnostics (ESGMD), Basel, Switzerland.
| | - A W Friedrich
- University of Groningen, University Medical Center Groningen, Department of Medical Microbiology, Groningen, The Netherlands
| | - J Moran-Gilad
- European Society for Clinical Microbiology and Infectious Diseases (ESCMID) Study Group for Genomic and Molecular Diagnostics (ESGMD), Basel, Switzerland; Department of Health Systems Management, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel; Public Health Services, Ministry of Health, Jerusalem, Israel
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17
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Hofmann W. [Chameleon spondylodiscitis : Challenge for geriatricians]. Z Gerontol Geriatr 2017; 50:623-636. [PMID: 29018936 DOI: 10.1007/s00391-017-1324-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2017] [Revised: 09/15/2017] [Accepted: 09/18/2017] [Indexed: 11/29/2022]
Abstract
The incidence of spondylodiscitis is increasing and attributable to an aging population with multimorbidities. Spondylodiscitis represents a life-threatening disease. Typical clinical manifestations often involve nonspecific symptoms with back pain; however, due to the frequent absence of fever the disease is often overlooked. Pathogen detection and spinal imaging with magnetic resonance imaging (MRI) are essential for the diagnosis. Identification of the causative pathogen is particularly important for initiating targeted antibiotic treatment. Debridement and stabilization are the mainstays of surgical management, even though foreign material must be implanted into the focus of inflammation.
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Affiliation(s)
- Werner Hofmann
- Geriatrisches Zentrum Neumünster & Bad Bramstedt, Friesenstr. 11, 24534, Neumünster, Deutschland.
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18
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McCARTHY KL, Kidd TJ, Paterson DL. Pseudomonas aeruginosa blood stream infection isolates from patients with recurrent blood stream infection: Is it the same genotype? Epidemiol Infect 2017; 145:3040-6. [PMID: 28826423 DOI: 10.1017/S0950268817001832] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
The type identity of strains of Pseudomonas aeruginosa from primary and recurrent blood stream infection (BSI) has not been widely studied. Twenty-eight patients were identified retrospectively from 2008 to 2013 from five different laboratories; available epidemiological, clinical and microbiological data were obtained for each patient. Isolates were genotyped by iPLEX MassARRAY MALDI-TOF MS and rep-PCR. This showed that recurrent P. aeruginosa BSI was more commonly due to the same genotypically related strain as that from the primary episode. Relapse due to a genotypically related strain occurred earlier in time than a relapsing infection from an unrelated strain (median time: 26 vs. 91 days, respectively). Line related infections were the most common source of suspected BSI and almost half of all BSI episodes were associated with neutropenia, possibly indicating translocation of the organism from the patient's gut in this setting. Development of meropenem resistance occurred in two relapse isolates, which may suggest that prior antibiotic therapy for the primary BSI was a driver for the subsequent development of resistance in the recurrent isolate.
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Abstract
This study aimed to determine prevalence of Ralstonia spp. in cystic fibrosis patients, look for any evidence of cross infection and to describe clinical outcomes for patients infected by Ralstonia spp. Prevalence of Ralstonia spp. was calculated annually from 2008 to 2016. Pulsed-field gel electrophoresis was performed on ⩾1 sample from patients with an isolation of Ralstonia spp. between 2008 and 2016. A prospective, longitudinal observational study of adult patients was performed with 12 months follow-up from recruitment. Prevalence of Ralstonia spp. rose from 0·6% in 2008 to 2·4% in 2016. In total 12 out of 14 (86%) patients with ⩾1 isolation of Ralstonia spp. developed chronic infection. A pair and a group of three unrelated patients with epidemiological connections shared strains of Ralstonia mannitolilytica. Lung function of Ralstonia spp. infected patients was moderately to severely impaired. Prevalence of Ralstonia spp. is low but increasing. The risk of a patient developing chronic Ralstonia spp. infection following first acquisition is high and cross-infection may be possible. Whether Ralstonia spp. infection causes increased pulmonary exacerbation frequency and lung function decline needs to be evaluated in larger prospective studies.
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Abstract
The protocol describes a computational method to develop a Single Locus Sequence Typing (SLST) scheme for typing bacterial species. The resulting scheme can be used to type bacterial isolates as well as bacterial species directly from complex communities using next-generation sequencing technologies.
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Affiliation(s)
- Christian F P Scholz
- Department of Biomedicine, Aarhus University, Wilhelms Meyers Allé 4, 8000, Aarhus, Denmark.
| | - Anders Jensen
- Department of Biomedicine, Aarhus University, Wilhelms Meyers Allé 4, 8000, Aarhus, Denmark
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21
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BUTCHER H, ELSON R, CHATTAWAY MA, FEATHERSTONE CA, WILLIS C, JORGENSEN F, DALLMAN TJ, JENKINS C, McLAUCHLIN J, BECK CR, HARRISON S. Whole genome sequencing improved case ascertainment in an outbreak of Shiga toxin-producing Escherichia coli O157 associated with raw drinking milk. Epidemiol Infect 2016; 144:2812-23. [PMID: 27338677 PMCID: PMC9150458 DOI: 10.1017/s0950268816000509] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2015] [Revised: 01/29/2016] [Accepted: 02/21/2016] [Indexed: 11/06/2022] Open
Abstract
Five cases of STEC O157 phage type (PT) 21/28 reported consumption of raw cows' drinking milk (RDM) produced at a dairy farm in the South West of England. STEC O157 PT21/28 was isolated from faecal specimens from milking cows on the implicated farm. Whole genome sequencing (WGS) showed that human and cattle isolates were the same strain. Further analysis of WGS data confirmed that sequences of isolates from an additional four cases (who did not report consumption of RDM when first questioned) fell within the same five single nucleotide polymorphism cluster as the initial five cases epidemiologically linked to the consumption of RDM. These four additional cases identified by WGS were investigated further and were, ultimately, associated with the implicated farm. The RDM outbreak strain encoded stx2a, which is associated with increased pathogenicity and severity of symptoms. Further epidemiological analysis showed that 70% of isolates within a wider cluster containing the outbreak strain were from cases residing in, or linked to, the same geographical region of England. During this RDM outbreak, use of WGS improved case ascertainment and provided insights into the evolution of a highly pathogenic clade of STEC O157 PT21/28 stx2a associated with the South West of England.
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Affiliation(s)
- H. BUTCHER
- Devon, Cornwall and Somerset Public Health England Centre, Exeter, Devon, UK
| | - R. ELSON
- Gastrointestinal and Emerging Zoonotic Infections Department, Public Health England, UK
| | - M. A. CHATTAWAY
- Gastrointestinal Bacteria Reference Unit, Public Health England, London, UK
| | - C. A. FEATHERSTONE
- Animal and Plant Health Agency, Veterinary Investigation Centre, Thirsk, Yorkshire, UK
| | - C. WILLIS
- Food Water and Environmental Microbiology Laboratory Services, Public Health England, UK
| | - F. JORGENSEN
- Food Water and Environmental Microbiology Laboratory Services, Public Health England, UK
| | - T. J. DALLMAN
- Gastrointestinal Bacteria Reference Unit, Public Health England, London, UK
| | - C. JENKINS
- Gastrointestinal Bacteria Reference Unit, Public Health England, London, UK
| | - J. McLAUCHLIN
- Food Water and Environmental Microbiology Laboratory Services, Public Health England, UK
- University of Liverpool, Institute of Infection and Global Health, Liverpool, UK
| | - C. R. BECK
- Field Epidemiology Service, Public Health England, UK
| | - S. HARRISON
- Devon, Cornwall and Somerset Public Health England Centre, Exeter, Devon, UK
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Thunberg U, Söderquist B, Hugosson S. Bacterial findings in optimised sampling and characterisation of S. aureus in chronic rhinosinusitis. Eur Arch Otorhinolaryngol 2017; 274:311-9. [PMID: 27538736 DOI: 10.1007/s00405-016-4239-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2016] [Accepted: 08/01/2016] [Indexed: 10/27/2022]
Abstract
The bacterial spectrum in chronic rhinosinusitis (CRS) is clinically relevant. This study aimed to compare two sampling techniques and to characterise Staphylococcus aureus isolated from CRS patients. Bacterial specimens were collected from the nares and maxillary sinus in 42 CRS patients and from the nares in 57 healthy controls. Maxillary sinus sampling was performed in two ways in each patient: with a cotton-tipped aluminium swab through the enlarged sinus ostium, and with a protected brush. S. aureus was characterised by DNA-sequencing of the repeat region of the S. aureus protein A gene, spa typing. The protected brush technique was superior to the cotton-tipped aluminium swab in reducing contamination rate. However, the two sampling methods were consistent in terms of clinically relevant bacterial findings, and the easy-to-handle cotton-tipped swab can still be recommended when culturing the maxillary sinus. Patients showed a significantly higher presence of S. aureus in the nares compared with healthy controls, and healthy controls showed a significantly higher presence of coagulase-negative staphylococci in the nares compared with patients. The spa types were identical for the nares and maxillary sinus in all patients except one. The sampling techniques showed equivalent results, indicating a low risk of unnecessary antibiotic treatment when using the easy-to-handle cotton-tipped aluminium swab. The high rate of identical spa types of S. aureus isolated from the nares and maxillary sinus of CRS patients might indicate colonisation of the maxillary sinus from the nares.
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Karger A. Current developments to use linear MALDI-TOF spectra for the identification and typing of bacteria and the characterization of other cells/organisms related to infectious diseases. Proteomics Clin Appl 2016; 10:982-993. [PMID: 27400768 DOI: 10.1002/prca.201600038] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2016] [Revised: 05/30/2016] [Accepted: 07/07/2016] [Indexed: 12/21/2022]
Abstract
Within the past few years identification of bacteria by MALDI-TOF MS has become a standard technique in bacteriological laboratories for good reasons. MALDI-TOF MS identification is rapid, robust, automatable, and the per-sample costs are low. Yet, the spectra are very informative and the reliable identification of bacterial species is usually possible. Recently, new MS-based approaches for the identification of bacteria are emerging that are based on the detailed analysis of the bacterial proteome by high-resolution MS. These "proteotyping" approaches are highly discriminative and outperform MALDI-TOF MS-based identification in terms of specificity, but require a laborious proteomic workflow and far more expertise and sophisticated instrumentation than identification on basis of MALDI-TOF MS spectra, which can be obtained with relative simple and uncostly linear MALDI-TOF mass spectrometers. Thus MALDI-TOF MS identification of bacteria remains an attractive option for routine diagnostics. Additionally, MALDI-TOF MS identification protocols have been extended and improved in many respects making linear MALDI-TOF MS a versatile tool that can be useful beyond the identification of a bacterial species, e.g. for the characterization of leucocytes and arthropod vectors of infectious diseases. This review focuses on such improvements and extensions of the typical MALDI-TOF MS workflow in the field of infectious diseases.
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Affiliation(s)
- Axel Karger
- Institute of Molecular Virology and Cell Biology, Friedrich-Loeffler-Institut, , Federal Research Institute for Animal Health Südufer, Greifswald-Insel Riems, Germany.
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Li BS, Xiao Y, Wang DC, Tan HL, Ke BX, He DM, Ke CW, Zhang YH. Genetic relatedness of selected clinical Vibrio cholerae O139 isolates from the southern coastal area of China over a 20-year period. Epidemiol Infect 2016; 144:2679-87. [PMID: 27305977 DOI: 10.1017/S0950268816001059] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Vibrio cholerae O139 emerged as a causative agent of epidemic cholera in 1992 in India and Bangladesh, and was subsequently reported in China in 1993. The genetic relatedness and molecular characteristics of V. cholerae O139 in Guangdong Province, located in the southern coastal area of China, remains undetermined. In this study, we investigated 136 clinical V. cholerae O139 isolates from 1993 to 2013 in Guangdong. By conventional PCR, 123 (90·4%) isolates were positive for ctxB, ace and zot. Sequencing of the positive amplicons indicated 113 (91·7%) isolates possessed the El Tor allele of ctxB (genotype 3); seven carried the classical ctxB type (genotype 1) and three harboured a novel ctxB type (genotype 5). With respect to tcpA, 123 (90·4%) isolates were positive for the El Tor allele. In addition, pulsed-field gel electrophoresis (with NotI digestion) differentiated the isolates into clusters A and B. Cluster A contained seven of the non-toxigenic isolates from 1998 to 2000; another six non-toxigenic isolates (from 1998 and 2007) and all of the toxigenic isolates formed cluster B. Our results suggest that over a 20-year period, the predominant O139 clinical isolates have maintained a relatively tight clonal structure, although some genetic variance and shift has occurred. Our data highlight the persistence of toxigenic V. cholerae O139 in clinical settings in the southern coastal area of China.
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Shan XY, Zhou HJ, Zhang J, Zhu BQ, Xu L, Xu Z, Hu GC, Bai AY, Shi YW, Jiang BF, Shao ZJ. Multilocus variable-number tandem-repeat analysis of Neisseria meningitidis serogroup C in China. Epidemiol Infect 2015; 143:3001-10. [PMID: 25778999 DOI: 10.1017/S0950268815000473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
This study characterized Neisseria meningitidis serogroup C strains in China in order to establish their genetic relatedness and describe the use of multilocus variable-number tandem-repeat (VNTR) analysis (MLVA) to provide useful epidemiological information. A total of 215 N. meningitidis serogroup C strains, obtained from 2003 to 2012 in China, were characterized by MLVA with different published schemes as well as multilocus sequence typing. (i) Based on the MLVA scheme with a combination of five highly variable loci, 203 genotypes were identified; this level of discrimination supports its use for resolving closely related isolates. (ii) Based on a combination of ten low variable loci, clear phylogenetic relationships were established within sequence type complexes. In addition, there was evidence of microevolution of VNTR loci over the decade as strain lineages spread from Anhui to other provinces, the more distant the provinces from Anhui, the higher the genetic variation.
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