1
|
Reynolds C, Checkley S, Chui L, Otto S, Neumann NF. Evaluating the risks associated with Shiga-toxin-producing Escherichia coli (STEC) in private well waters in Canada. Can J Microbiol 2020; 66:337-350. [PMID: 32069070 DOI: 10.1139/cjm-2019-0329] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Shiga-toxin-producing Escherichia coli (STEC) represent a major concern for waterborne disease outbreaks associated with consumption of contaminated groundwater. Over 4 million people rely on private groundwater systems as their primary drinking water source in Canada; many of these systems do not meet current standards for water quality. This manuscript provides a scoping overview of studies examining STEC prevalence and occurrence in groundwater, and it includes a synopsis of the environmental variables affecting survival, transport, persistence, and overall occurrence of these important pathogenic microbes in private groundwater wells used for drinking purposes.
Collapse
Affiliation(s)
- Colin Reynolds
- Environmental Health Sciences, School of Public Health, University of Alberta, Edmonton, AB T6G 2G7, Canada
| | - Sylvia Checkley
- Department of Ecosystem Public Health, Faculty of Veterinary Medicine, University of Calgary
| | - Linda Chui
- Department of Laboratory Medicine and Pathology, University of Alberta
| | - Simon Otto
- Environmental Health Sciences, School of Public Health, University of Alberta, Edmonton, AB T6G 2G7, Canada
| | - Norman F Neumann
- Environmental Health Sciences, School of Public Health, University of Alberta, Edmonton, AB T6G 2G7, Canada
| |
Collapse
|
2
|
Tesson V, Federighi M, Cummins E, de Oliveira Mota J, Guillou S, Boué G. A Systematic Review of Beef Meat Quantitative Microbial Risk Assessment Models. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E688. [PMID: 31973083 PMCID: PMC7037662 DOI: 10.3390/ijerph17030688] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Revised: 01/13/2020] [Accepted: 01/15/2020] [Indexed: 11/16/2022]
Abstract
Each year in Europe, meat is associated with 2.3 million foodborne illnesses, with a high contribution from beef meat. Many of these illnesses are attributed to pathogenic bacterial contamination and inadequate operations leading to growth and/or insufficient inactivation occurring along the whole farm-to-fork chain. To ensure consumer health, decision-making processes in food safety rely on Quantitative Microbiological Risk Assessment (QMRA) with many applications in recent decades. The present study aims to conduct a critical analysis of beef QMRAs and to identify future challenges. A systematic approach, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, was used to collate beef QMRA models, identify steps of the farm-to-fork chain considered, and analyze inputs and outputs included as well as modelling methods. A total of 2343 articles were collected and 67 were selected. These studies focused mainly on western countries and considered Escherichia coli (EHEC) and Salmonella spp. pathogens. Future challenges were identified and included the need of whole-chain assessments, centralization of data collection processes, and improvement of model interoperability through harmonization. The present analysis can serve as a source of data and information to inform QMRA framework for beef meat and will help the scientific community and food safety authorities to identify specific monitoring and research needs.
Collapse
Affiliation(s)
| | | | - Enda Cummins
- Biosystems Engineering, School of Agriculture, Food Science and Veterinary Medicine, Agriculture and Food Science Centre, University College Dublin, Belfield, Dublin 4, Ireland
| | | | | | | |
Collapse
|
3
|
Chapman B, Pintar K, Smith BA. Multi-Exposure Pathway Model to Compare Escherichia coli O157 Risks and Interventions. RISK ANALYSIS : AN OFFICIAL PUBLICATION OF THE SOCIETY FOR RISK ANALYSIS 2018; 38:392-409. [PMID: 28471504 DOI: 10.1111/risa.12826] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2016] [Revised: 03/09/2017] [Accepted: 03/14/2017] [Indexed: 06/07/2023]
Abstract
The relative contributions of exposure pathways associated with cattle-manure-borne Escherichia coli O157:H7 on public health have yet to be fully characterized. A stochastic, quantitative microbial risk assessment (QMRA) model was developed to describe a hypothetical cattle farm in order to compare the relative importance of five routes of exposure, including aquatic recreation downstream of the farm, consumption of contaminated ground beef processed with limited interventions, consumption of leafy greens, direct animal contact, and the recreational use of a cattle pasture. To accommodate diverse environmental and hydrological pathways, existing QMRAs were integrated with novel and simplistic climate and field-level submodels. The model indicated that direct animal contact presents the greatest risk of illness per exposure event during the high pathogen shedding period. However, when accounting for the frequency of exposure, using a high-risk exposure-receptor profile, consumption of ground beef was associated with the greatest risk of illness. Additionally, the model was used to evaluate the efficacy of hypothetical interventions affecting one or more exposure routes; concurrent evaluation of multiple routes allowed for the assessment of the combined effect of preharvest interventions across exposure pathways-which may have been previously underestimated-as well as the assessment of the effect of additional downstream interventions. This analysis represents a step towards a full evaluation of the risks associated with multiple exposure pathways; future incorporation of variability associated with environmental parameters and human behaviors would allow for a comprehensive assessment of the relative contribution of exposure pathways at the population level.
Collapse
Affiliation(s)
- B Chapman
- Public Health Agency of Canada, Guelph, ON, Canada
- University of Guelph, Guelph, ON, Canada
| | - K Pintar
- Public Health Agency of Canada, Guelph, ON, Canada
| | - B A Smith
- Public Health Agency of Canada, Guelph, ON, Canada
| |
Collapse
|
4
|
Giacometti F, Bonilauri P, Piva S, Scavia G, Amatiste S, Bianchi DM, Losio MN, Bilei S, Cascone G, Comin D, Daminelli P, Decastelli L, Merialdi G, Mioni R, Peli A, Petruzzelli A, Tonucci F, Liuzzo G, Serraino A. Paediatric HUS Cases Related to the Consumption of Raw Milk Sold by Vending Machines in Italy: Quantitative Risk Assessment Based on Escherichia coli O157 Official Controls over 7 years. Zoonoses Public Health 2016; 64:505-516. [PMID: 27991739 DOI: 10.1111/zph.12331] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2016] [Indexed: 12/12/2022]
Abstract
A quantitative risk assessment (RA) was developed to estimate haemolytic-uremic syndrome (HUS) cases in paediatric population associated with the consumption of raw milk sold in vending machines in Italy. The historical national evolution of raw milk consumption phenomenon since 2008, when consumer interest started to grow, and after 7 years of marketing adjustment, is outlined. Exposure assessment was based on the official Shiga toxin-producing Escherichia coli O157:H7 (STEC) microbiological records of raw milk samples from vending machines monitored by the regional Veterinary Authorities from 2008 to 2014, microbial growth during storage, consumption frequency of raw milk, serving size, consumption preference and age of consumers. The differential risk considered milk handled under regulation conditions (4°C throughout all phases) and the worst time-temperature field handling conditions detected. In case of boiling milk before consumption, we assumed that the risk of HUS is fixed at zero. The model estimates clearly show that the public health significance of HUS cases due to raw milk STEC contamination depends on the current variability surrounding the risk profile of the food and the consumer behaviour has more impact than milk storage scenario. The estimated HUS cases predicted by our model are roughly in line with the effective STEC O157-associated HUS cases notified in Italy only when the proportion of consumers not boiling milk before consumption is assumed to be 1%. Raw milk consumption remains a source of E. coli O157:H7 for humans, but its overall relevance is likely to have subsided and significant caution should be exerted for temporal, geographical and consumers behaviour analysis. Health education programmes and regulatory actions are required to educate people, primarily children, on other STEC sources.
Collapse
Affiliation(s)
- F Giacometti
- Department of Veterinary Medical Sciences, University of Bologna, Bologna, Italy
| | - P Bonilauri
- Experimental Institute for Zooprophylaxis in Lombardy and Emilia Romagna, Reggo Emilia, Italy
| | - S Piva
- Department of Veterinary Medical Sciences, University of Bologna, Bologna, Italy
| | - G Scavia
- Istituto Superiore di Sanità, Rome, Italy
| | - S Amatiste
- Experimental Institute for Zooprophylaxis in Lazio and Tuscany, Rome, Italy
| | - D M Bianchi
- Experimental Institute for Zooprophylaxis in Piedmont, Liguria and Valle D'Aosta, Torino, Italy
| | - M N Losio
- Experimental Institute for Zooprophylaxis in Lombardy and Emilia Romagna, Brescia, Italy
| | - S Bilei
- Experimental Institute for Zooprophylaxis in Lazio and Tuscany, Rome, Italy
| | - G Cascone
- Experimental Institute for Zooprophylaxis in Sicily, Palermo, Italy
| | - D Comin
- Experimental Institute for Zooprophylaxis in Venezie, San Donà di Piave, Italy
| | - P Daminelli
- Experimental Institute for Zooprophylaxis in Lombardy and Emilia Romagna, Brescia, Italy
| | - L Decastelli
- Experimental Institute for Zooprophylaxis in Piedmont, Liguria and Valle D'Aosta, Torino, Italy
| | - G Merialdi
- Experimental Institute for Zooprophylaxis in Lombardy and Emilia Romagna, Bologna, Italy
| | - R Mioni
- Experimental Institute for Zooprophylaxis in Venezie, San Donà di Piave, Italy
| | - A Peli
- Department of Veterinary Medical Sciences, University of Bologna, Bologna, Italy
| | - A Petruzzelli
- Experimental Institute for Zooprophylaxis in Umbria and Marche, Pesaro, Italy
| | - F Tonucci
- Experimental Institute for Zooprophylaxis in Umbria and Marche, Pesaro, Italy
| | - G Liuzzo
- Modena Health Trust, Carpi District, Modena, Italy
| | - A Serraino
- Department of Veterinary Medical Sciences, University of Bologna, Bologna, Italy
| |
Collapse
|
5
|
Crossland WL, Callaway TR, Tedeschi LO. Shiga Toxin-Producing E. coli and Ruminant Diets. Food Saf (Tokyo) 2015. [DOI: 10.1016/b978-0-12-800245-2.00010-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
|
6
|
Perrin F, Tenenhaus-Aziza F, Michel V, Miszczycha S, Bel N, Sanaa M. Quantitative risk assessment of haemolytic and uremic syndrome linked to O157:H7 and non-O157:H7 Shiga-toxin producing Escherichia coli strains in raw milk soft cheeses. RISK ANALYSIS : AN OFFICIAL PUBLICATION OF THE SOCIETY FOR RISK ANALYSIS 2015; 35:109-128. [PMID: 25156259 DOI: 10.1111/risa.12267] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
Shiga-toxin producing Escherichia coli (STEC) strains may cause human infections ranging from simple diarrhea to Haemolytic Uremic Syndrome (HUS). The five main pathogenic serotypes of STEC (MPS-STEC) identified thus far in Europe are O157:H7, O26:H11, O103:H2, O111:H8, and O145:H28. Because STEC strains can survive or grow during cheese making, particularly in soft cheeses, a stochastic quantitative microbial risk assessment model was developed to assess the risk of HUS associated with the five MPS-STEC in raw milk soft cheeses. A baseline scenario represents a theoretical worst-case scenario where no intervention was considered throughout the farm-to-fork continuum. The risk level assessed with this baseline scenario is the risk-based level. The impact of seven preharvest scenarios (vaccines, probiotic, milk farm sorting) on the risk-based level was expressed in terms of risk reduction. Impact of the preharvest intervention ranges from 76% to 98% of risk reduction with highest values predicted with scenarios combining a decrease of the number of cow shedding STEC and of the STEC concentration in feces. The impact of postharvest interventions on the risk-based level was also tested by applying five microbiological criteria (MC) at the end of ripening. The five MCs differ in terms of sample size, the number of samples that may yield a value larger than the microbiological limit, and the analysis methods. The risk reduction predicted varies from 25% to 96% by applying MCs without preharvest interventions and from 1% to 96% with combination of pre- and postharvest interventions.
Collapse
Affiliation(s)
- Frédérique Perrin
- French Agency for Food, Environmental and Occupational Health and Safety (ANSES), Maison-Alfort, France; ACTALIA, La Roche-sur-Foron, France; Doctoral School ABIES (Agriculture Food Biology Environment Health), Paris, France
| | | | | | | | | | | |
Collapse
|
7
|
Wisener LV, Sargeant JM, O'Connor AM, Faires MC, Glass-Kaastra SK. The Use of Direct-Fed Microbials to Reduce Shedding ofEscherichia coliO157 in Beef Cattle: A Systematic Review and Meta-analysis. Zoonoses Public Health 2014; 62:75-89. [DOI: 10.1111/zph.12112] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2013] [Indexed: 01/05/2023]
Affiliation(s)
- L. V. Wisener
- Population Medicine; University of Guelph; Guelph ON Canada
| | - J. M. Sargeant
- Population Medicine; University of Guelph; Guelph ON Canada
- Centre for Public Health and Zoonoses; University of Guelph; Guelph ON Canada
| | - A. M. O'Connor
- Department of Veterinary Diagnostic and Production Animal Medicine; College of Veterinary Medicine; Iowa State University; Ames IA USA
| | - M. C. Faires
- Centre for Public Health and Zoonoses; University of Guelph; Guelph ON Canada
| | - S. K. Glass-Kaastra
- Centre for Public Health and Zoonoses; University of Guelph; Guelph ON Canada
| |
Collapse
|
8
|
Guillier L, Danan C, Bergis H, Delignette-Muller ML, Granier S, Rudelle S, Beaufort A, Brisabois A. Use of quantitative microbial risk assessment when investigating foodborne illness outbreaks: The example of a monophasic Salmonella Typhimurium 4,5,12:i:− outbreak implicating beef burgers. Int J Food Microbiol 2013; 166:471-8. [DOI: 10.1016/j.ijfoodmicro.2013.08.006] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2013] [Revised: 07/26/2013] [Accepted: 08/07/2013] [Indexed: 10/26/2022]
|
9
|
Alhelfi NA, Adam H, Jones DL, Williams AP. Absence of E coli O157:H7 in sheep and cattle faeces in North Wales. Vet Rec 2013; 173:143. [PMID: 23934296 DOI: 10.1136/vr.101660] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Affiliation(s)
- N A Alhelfi
- Department of Food Science, Agriculture College, University of Basra, Basra, Iraq
| | | | | | | |
Collapse
|
10
|
Loś JM, Loś M, Węgrzyn A, Węgrzyn G. Altruism of Shiga toxin-producing Escherichia coli: recent hypothesis versus experimental results. Front Cell Infect Microbiol 2013; 2:166. [PMID: 23316482 PMCID: PMC3539655 DOI: 10.3389/fcimb.2012.00166] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2012] [Accepted: 12/11/2012] [Indexed: 12/24/2022] Open
Abstract
Shiga toxin-producing Escherichia coli (STEC) may cause bloody diarrhea and hemorrhagic colitis (HC), with subsequent systemic disease. Since genes coding for Shiga toxins (stx genes) are located on lambdoid prophages, their effective production occurs only after prophage induction. Such induction and subsequent lytic development of Shiga toxin-converting bacteriophages results not only in production of toxic proteins, but also in the lysis (and thus, the death) of the host cell. Therefore, one may ask the question: what is the benefit for bacteria to produce the toxin if they die due to phage production and subsequent cell lysis? Recently, a hypothesis was proposed (simultaneously but independently by two research groups) that STEC may benefit from Shiga toxin production as a result of toxin-dependent killing of eukaryotic cells such as unicellular predators or human leukocytes. This hypothesis could make sense only if we assume that prophage induction (and production of the toxin) occurs only in a small fraction of bacterial cells, thus, a few members of the population are sacrificed for the benefit of the rest, providing an example of “bacterial altruism.” However, various reports indicating that the frequency of spontaneous induction of Shiga toxin-converting prophages is higher than that of other lambdoid prophages might seem to contradict the for-mentioned model. On the other hand, analysis of recently published results, discussed here, indicated that the efficiency of prophage excision under conditions that may likely occur in the natural habitat of STEC is sufficiently low to ensure survival of a large fraction of the bacterial host. A molecular mechanism by which partial prophage induction may occur is proposed. We conclude that the published data supports the proposed model of bacterial “altruism” where prophage induction occurs at a low enough frequency to render toxin production a positive selective force on the general STEC population.
Collapse
Affiliation(s)
- Joanna M Loś
- Laboratory of Molecular Genetics, Department of Molecular Biology, University of Gdańsk Gdańsk, Poland
| | | | | | | |
Collapse
|
11
|
Strachan NJC, Hunter CJ, Jones CDR, Wilson RS, Ethelberg S, Cross P, Williams AP, MacRitchie L, Rotariu O, Chadwick D. The relationship between lay and technical views of Escherichia coli O157 risk. Philos Trans R Soc Lond B Biol Sci 2011; 366:1999-2009. [PMID: 21624920 DOI: 10.1098/rstb.2010.0393] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Here, we bring together and contrast lay (accessible primarily through social science methodologies) and technical (via risk assessment and epidemiological techniques) views of the risk associated with the Escherichia coli O157 pathogen using two case study areas in the Grampian region of Scotland, and North Wales. Epidemiological risk factors of contact with farm animals, visiting farms or farm fields and having a private water supply were associated with postcode districts of higher than average disease incidence in the human population. However, this was not the case for the epidemiological risk factor of consumption of beef burgers, which was independent of disease incidence in the postcode district of residence. The proportion of the population expressing a high knowledge of E. coli O157 was greatest in high-incidence disease districts compared with low-incidence areas (17% cf. 7%). This supports the hypothesis that in high-disease-incidence areas, residents are regularly exposed to information about the disease through local cases, the media, local social networks, etc. or perhaps that individuals are more likely to be motivated to find out about it. However, no statistically significant difference was found between high- and low-incidence postcode districts in terms of the proportion of the population expressing a high likelihood of personal risk of infection (10% cf. 14%), giving a counterintuitive difference between the technical (epidemiological and quantitative microbiological risk assessment (QMRA)) and the lay assessment of E. coli O157 risk. This suggests that lay evaluations of E. coli O157 risk reflect intuitive and experience-based estimates of the risk rather than probabilistic estimates. A generally strong correspondence was found in terms of the rank order given to potential infection pathways, with environment and foodborne infection routes dominating when comparing public understanding with technical modelling results. Two general conclusions follow from the work. First, that integrative research incorporating both lay and technical views of risk is required in order that informed decisions can be made to handle or treat the risk by the groups concerned (e.g. the public, policy makers/risk managers, etc.). Second, when communicating risk, for example, through education programmes, it is important that this process is two-way with risk managers (e.g. including Food Standards Agency officials and communications team, public health infection control and environmental health officers) both sharing information with the public and stakeholder groups, as well as incorporating public knowledge, values and context (e.g. geographical location) into risk-management decisions.
Collapse
Affiliation(s)
- N J C Strachan
- Department of Physics, SUPA, Institute of Biological and Environmental Sciences, School of Biological Sciences, Cruickshank Building, Saint Machar Drive, Aberdeen AB24 3UU, UK.
| | | | | | | | | | | | | | | | | | | |
Collapse
|