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      Shiga toxin-producing Escherichia coli O26:H11 associated with a cluster of haemolytic uraemic syndrome cases in South Africa, 2017

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          Abstract

          Introduction

          Shiga toxin-producing Escherichia coli (STEC) are foodborne pathogens that may cause diarrhoeal outbreaks and occasionally are associated with haemolytic-uraemic syndrome (HUS). We report on STEC O26:H11 associated with a cluster of four HUS cases in South Africa in 2017.

          Methodology

          All case-patients were female and aged 5 years and under. Standard microbiological tests were performed for culture and identification of STEC from specimens (human stool and food samples). Further analysis of genomic DNA extracted from bacterial cultures and specimens included PCR for specific virulence genes, whole-genome sequencing and shotgun metagenomic sequencing.

          Results

          For 2/4 cases, stool specimens revealed STEC O26:H11 containing eae, stx2a and stx2b virulence genes. All food samples were found to be negative for STEC. No epidemiological links could be established between the HUS cases. Dried meat products were the leading food item suspected to be the vehicle of transmission for these cases, as 3/4 case-patients reported they had eaten this. However, testing of dried meat products could not confirm this.

          Conclusion

          Since STEC infection does not always lead to severe symptoms, it is possible that many more cases were associated with this cluster and largely went unrecognized.

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          Most cited references48

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          Recent advances in understanding enteric pathogenic Escherichia coli.

          Although Escherichia coli can be an innocuous resident of the gastrointestinal tract, it also has the pathogenic capacity to cause significant diarrheal and extraintestinal diseases. Pathogenic variants of E. coli (pathovars or pathotypes) cause much morbidity and mortality worldwide. Consequently, pathogenic E. coli is widely studied in humans, animals, food, and the environment. While there are many common features that these pathotypes employ to colonize the intestinal mucosa and cause disease, the course, onset, and complications vary significantly. Outbreaks are common in developed and developing countries, and they sometimes have fatal consequences. Many of these pathotypes are a major public health concern as they have low infectious doses and are transmitted through ubiquitous mediums, including food and water. The seriousness of pathogenic E. coli is exemplified by dedicated national and international surveillance programs that monitor and track outbreaks; unfortunately, this surveillance is often lacking in developing countries. While not all pathotypes carry the same public health profile, they all carry an enormous potential to cause disease and continue to present challenges to human health. This comprehensive review highlights recent advances in our understanding of the intestinal pathotypes of E. coli.
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            Outbreak of Shiga toxin-producing Escherichia coli (STEC) O104:H4 infection in Germany causes a paradigm shift with regard to human pathogenicity of STEC strains.

            An outbreak that comprised 3,842 cases of human infections with enteroaggregative hemorrhagic Escherichia coli (EAHEC) O104:H4 occurred in Germany in May 2011. The high proportion of adults affected in this outbreak and the unusually high number of patients that developed hemolytic uremic syndrome makes this outbreak the most dramatic since enterohemorrhagic E. coli (EHEC) strains were first identified as agents of human disease. The characteristics of the outbreak strain, the way it spread among humans, and the clinical signs resulting from EAHEC infections have changed the way Shiga toxin-producing E. coli strains are regarded as human pathogens in general. EAHEC O104:H4 is an emerging E. coli pathotype that is endemic in Central Africa and has spread to Europe and Asia. EAHEC strains have evolved from enteroaggregative E. coli by uptake of a Shiga toxin 2a (Stx2a)-encoding bacteriophage. Except for Stx2a, no other EHEC-specific virulence markers including the locus of enterocyte effacement are present in EAHEC strains. EAHEC O104:H4 colonizes humans through aggregative adherence fimbrial pili encoded by the enteroaggregative E. coli plasmid. The aggregative adherence fimbrial colonization mechanism substitutes for the locus of enterocyte effacement functions for bacterial adherence and delivery of Stx2a into the human intestine, resulting clinically in hemolytic uremic syndrome. Humans are the only known natural reservoir known for EAHEC. In contrast, Shiga toxin-producing E. coli and EHEC are associated with animals as natural hosts. Contaminated sprouted fenugreek seeds were suspected as the primary vehicle of transmission of the EAHEC O104:H4 outbreak strain in Germany. During the outbreak, secondary transmission (human to human and human to food) was important. Epidemiological investigations revealed fenugreek seeds as the source of entry of EAHEC O104:H4 into the food chain; however, microbiological analysis of seeds for this pathogen produced negative results. The survival of EAHEC in seeds and the frequency of human carriers of EAHEC should be investigated for a better understanding of EAHEC transmission routes.
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              A cloud-compatible bioinformatics pipeline for ultrarapid pathogen identification from next-generation sequencing of clinical samples

              Unbiased next-generation sequencing (NGS) approaches enable comprehensive pathogen detection in the clinical microbiology laboratory and have numerous applications for public health surveillance, outbreak investigation, and the diagnosis of infectious diseases. However, practical deployment of the technology is hindered by the bioinformatics challenge of analyzing results accurately and in a clinically relevant timeframe. Here we describe SURPI (“sequence-based ultrarapid pathogen identification”), a computational pipeline for pathogen identification from complex metagenomic NGS data generated from clinical samples, and demonstrate use of the pipeline in the analysis of 237 clinical samples comprising more than 1.1 billion sequences. Deployable on both cloud-based and standalone servers, SURPI leverages two state-of-the-art aligners for accelerated analyses, SNAP and RAPSearch, which are as accurate as existing bioinformatics tools but orders of magnitude faster in performance. In fast mode, SURPI detects viruses and bacteria by scanning data sets of 7–500 million reads in 11 min to 5 h, while in comprehensive mode, all known microorganisms are identified, followed by de novo assembly and protein homology searches for divergent viruses in 50 min to 16 h. SURPI has also directly contributed to real-time microbial diagnosis in acutely ill patients, underscoring its potential key role in the development of unbiased NGS-based clinical assays in infectious diseases that demand rapid turnaround times.
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                Author and article information

                Journal
                Access Microbiol
                Access Microbiol
                acmi
                acmi
                Access Microbiology
                Microbiology Society
                2516-8290
                2019
                12 September 2019
                12 September 2019
                : 1
                : 9
                : e000061
                Affiliations
                [ 1] Centre for Enteric Diseases, National Institute for Communicable Diseases (NICD), National Health Laboratory Service (NHLS) , Johannesburg, South Africa
                [ 2] departmentFaculty of Health Sciences , University of the Witwatersrand , Johannesburg, South Africa
                [ 3] departmentDivision of Medical Microbiology, Faculty of Health Sciences , University of Cape Town , Cape Town, South Africa
                [ 4] departmentSchool of Biomedical Sciences , University of Western Australia , Perth, Australia
                [ 5] departmentRed Cross Children’s Hospital , University of Cape Town , Cape Town, South Africa
                [ 6] Communicable Disease Control, Department of Health , Cape Town, South Africa
                [ 7] Division of Public Health Surveillance and Response, NICD, NHLS , Johannesburg, South Africa
                [ 8] Sequencing Core Facility, NICD, NHLS , Johannesburg, South Africa
                [ 9] South African Field Epidemiology Training Programme, NICD, NHLS , Johannesburg, South Africa
                Author notes
                *Correspondence: Anthony M. Smith, anthonys@ 123456nicd.ac.za
                Author information
                https://orcid.org/0000-0002-3637-7155
                https://orcid.org/0000-0003-3409-4327
                https://orcid.org/0000-0002-1366-4805
                https://orcid.org/0000-0003-2876-4785
                https://orcid.org/0000-0001-8958-9795
                https://orcid.org/0000-0003-4672-5915
                https://orcid.org/0000-0001-7081-6273
                Article
                000061
                10.1099/acmi.0.000061
                7472548
                29c0514a-2ab4-4ae4-81b7-38f7c6bc3457
                © 2019 The Authors

                This is an open-access article distributed under the terms of the Creative Commons Attribution License.

                History
                : 15 April 2019
                : 22 August 2019
                Funding
                Funded by: XX
                Award ID: This work received no specific grant from any funding agency
                Award Recipient : Not Applicable
                Categories
                Research Article
                Custom metadata
                0

                shiga toxin-producing escherichia coli,e. coli,stec,ehec,shiga toxin,o26,o26:h11,haemolytic uraemic syndrome,hus,outbreak,cluster,biltong,droëwors,dried meat,dry meat,whole-genome sequencing,wgs,genome,south africa,africa

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