TY - JOUR
T1 - Managing Shiga toxin-producing Escherichia coli (STEC) risk in beef: how lack of data impairs risk analysis
AU - Belluco, Simone
AU - Fredriksson-Ahomaa, Maria
AU - Gomes-Neves, Eduarda
AU - Jenson, Ian
AU - Kautto, Arja-Helena
AU - Laukkanen-Ninios, Riikka
AU - Vagsholm, Ivar
AU - Bonardi, Silvia
N1 - Publisher Copyright:
© 2025 Elsevier B.V.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - Beef
KW - Food safety
KW - Risk Ranger
KW - Risk assessment
KW - STEC
KW - Beef
KW - Food safety
KW - Risk Ranger
KW - Risk assessment
KW - STEC
UR - https://res.slu.se/id/publ/143948
U2 - 10.1016/j.ijfoodmicro.2025.111438
DO - 10.1016/j.ijfoodmicro.2025.111438
M3 - Journal article
C2 - 40945055
AN - SCOPUS:105015527824
SN - 0168-1605
VL - 443
JO - International Journal of Food Microbiology
JF - International Journal of Food Microbiology
M1 - 111438
ER -