Simone Belluco , Maria Fredriksson-Ahomaa , Eduarda Gomes-Neves , Ian Jenson , Arja-Helena Kautto , Riikka Laukkanen-Ninios , Ivar Vågsholm , Silvia Bonardi
{"title":"管理牛肉中产志贺毒素大肠杆菌(STEC)风险:缺乏数据如何损害风险分析","authors":"Simone Belluco , Maria Fredriksson-Ahomaa , Eduarda Gomes-Neves , Ian Jenson , Arja-Helena Kautto , Riikka Laukkanen-Ninios , Ivar Vågsholm , Silvia Bonardi","doi":"10.1016/j.ijfoodmicro.2025.111438","DOIUrl":null,"url":null,"abstract":"<div><div>Shiga toxin-producing <em>Escherichia coli</em> (STEC) are a heterogeneous group of pathogenic bacteria characterized by harbouring <em>stx</em> genes. STEC are commonly found in the gut of ruminants and the intermittent bacterial shedding through faeces can cause the contamination of meat and dairy products. The high variability in pathogenicity within this group and paucity of effective control measures make assessment and management of STEC along food supply chains difficult. To date, risk assessment of STEC, particularly hazard identification and characterization, is limited by variability, uncertainty and data gaps.</div><div>In the EU, STEC infections are mainly associated with ‘bovine meat and products thereof’, ‘milk and dairy products’, ‘tap water including well water’ and ‘vegetables, fruit and products thereof’. Whereas the lack of data impairs full quantitative risk assessment, semi-quantitative tools can be useful in ranking the effect of mitigation strategies. In this work, Risk Ranger tool was assessed for its potential usefulness for risk managers considering the beef food chain, with beef hamburger as the target product.</div><div>Due to the lack of correlation between serotypes and disease risk, we suggest that the hazard should be redefined. A STEC classification should be based on virulence determinants and the associated disease burden, in terms of disability adjusted life years (DALY). Indeed, adopting a new STEC classification based on <em>stx</em>-and <em>eae</em>- genes subtypes would allow more precise hazard characterization addressing some of the existing data gaps. While waiting for data following this new approach and enabling full quantitative risk assessments, semi-quantitative approaches can help to identify efficient mitigation strategies.</div></div>","PeriodicalId":14095,"journal":{"name":"International journal of food microbiology","volume":"443 ","pages":"Article 111438"},"PeriodicalIF":5.2000,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Managing Shiga toxin-producing Escherichia coli (STEC) risk in beef: how lack of data impairs risk analysis\",\"authors\":\"Simone Belluco , Maria Fredriksson-Ahomaa , Eduarda Gomes-Neves , Ian Jenson , Arja-Helena Kautto , Riikka Laukkanen-Ninios , Ivar Vågsholm , Silvia Bonardi\",\"doi\":\"10.1016/j.ijfoodmicro.2025.111438\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Shiga toxin-producing <em>Escherichia coli</em> (STEC) are a heterogeneous group of pathogenic bacteria characterized by harbouring <em>stx</em> genes. STEC are commonly found in the gut of ruminants and the intermittent bacterial shedding through faeces can cause the contamination of meat and dairy products. The high variability in pathogenicity within this group and paucity of effective control measures make assessment and management of STEC along food supply chains difficult. To date, risk assessment of STEC, particularly hazard identification and characterization, is limited by variability, uncertainty and data gaps.</div><div>In the EU, STEC infections are mainly associated with ‘bovine meat and products thereof’, ‘milk and dairy products’, ‘tap water including well water’ and ‘vegetables, fruit and products thereof’. Whereas the lack of data impairs full quantitative risk assessment, semi-quantitative tools can be useful in ranking the effect of mitigation strategies. In this work, Risk Ranger tool was assessed for its potential usefulness for risk managers considering the beef food chain, with beef hamburger as the target product.</div><div>Due to the lack of correlation between serotypes and disease risk, we suggest that the hazard should be redefined. A STEC classification should be based on virulence determinants and the associated disease burden, in terms of disability adjusted life years (DALY). Indeed, adopting a new STEC classification based on <em>stx</em>-and <em>eae</em>- genes subtypes would allow more precise hazard characterization addressing some of the existing data gaps. While waiting for data following this new approach and enabling full quantitative risk assessments, semi-quantitative approaches can help to identify efficient mitigation strategies.</div></div>\",\"PeriodicalId\":14095,\"journal\":{\"name\":\"International journal of food microbiology\",\"volume\":\"443 \",\"pages\":\"Article 111438\"},\"PeriodicalIF\":5.2000,\"publicationDate\":\"2025-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of food microbiology\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0168160525003836\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"FOOD SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of food microbiology","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0168160525003836","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
Managing Shiga toxin-producing Escherichia coli (STEC) risk in beef: how lack of data impairs risk analysis
Shiga toxin-producing Escherichia coli (STEC) are a heterogeneous group of pathogenic bacteria characterized by harbouring stx genes. STEC are commonly found in the gut of ruminants and the intermittent bacterial shedding through faeces can cause the contamination of meat and dairy products. The high variability in pathogenicity within this group and paucity of effective control measures make assessment and management of STEC along food supply chains difficult. To date, risk assessment of STEC, particularly hazard identification and characterization, is limited by variability, uncertainty and data gaps.
In the EU, STEC infections are mainly associated with ‘bovine meat and products thereof’, ‘milk and dairy products’, ‘tap water including well water’ and ‘vegetables, fruit and products thereof’. Whereas the lack of data impairs full quantitative risk assessment, semi-quantitative tools can be useful in ranking the effect of mitigation strategies. In this work, Risk Ranger tool was assessed for its potential usefulness for risk managers considering the beef food chain, with beef hamburger as the target product.
Due to the lack of correlation between serotypes and disease risk, we suggest that the hazard should be redefined. A STEC classification should be based on virulence determinants and the associated disease burden, in terms of disability adjusted life years (DALY). Indeed, adopting a new STEC classification based on stx-and eae- genes subtypes would allow more precise hazard characterization addressing some of the existing data gaps. While waiting for data following this new approach and enabling full quantitative risk assessments, semi-quantitative approaches can help to identify efficient mitigation strategies.
期刊介绍:
The International Journal of Food Microbiology publishes papers dealing with all aspects of food microbiology. Articles must present information that is novel, has high impact and interest, and is of high scientific quality. They should provide scientific or technological advancement in the specific field of interest of the journal and enhance its strong international reputation. Preliminary or confirmatory results as well as contributions not strictly related to food microbiology will not be considered for publication.