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Genotypic and phenotypic quantitative microbial risk assessment model of human salmonellosis related to the consumption of chicken meat in the central region of Mexico.
Godínez-Oviedo, Angélica; Sampedro, Fernando; Bowman, John P; Garcés-Vega, Francisco J; Hernández-Iturriaga, Montserrat.
Afiliación
  • Godínez-Oviedo A; Departamento de Investigación y Posgrado de Alimentos, Facultad de Química, Universidad Autónoma de Querétaro, Centro Universitario Cerro de las Campanas S/N, Col. Las Campanas, C. P. 76010 Querétaro, Qro. Querétaro, Mexico.
  • Sampedro F; Environmental Health Sciences Division, School of Public Health, University of Minnesota, 420 Delaware St SE Minneapolis, 55455 Minneapolis, MN, USA.
  • Bowman JP; Food Safety and Innovation Centre, Tasmanian Institute of Agriculture, University of Tasmania, Hobart, Australia.
  • Garcés-Vega FJ; Independent consultant, Cali, Colombia.
  • Hernández-Iturriaga M; Departamento de Investigación y Posgrado de Alimentos, Facultad de Química, Universidad Autónoma de Querétaro, Centro Universitario Cerro de las Campanas S/N, Col. Las Campanas, C. P. 76010 Querétaro, Qro. Querétaro, Mexico. Electronic address: montshi@uaq.mx.
Food Res Int ; 162(Pt A): 111901, 2022 12.
Article en En | MEDLINE | ID: mdl-36461177
Chicken meat is often associated withSalmonella entericacontamination worldwide. This study proposes a risk assessment model for human salmonellosis linked to the domestic consumption of chicken meat in the central region of Mexico, incorporating genotypic and phenotypic data. SixS. entericagroups were used, considering the presence of specific virulence genes and multidrug resistance (MDR). Sixteen exposure scenarios were established considering retail point (RP1 = fresh market/butcher shop; RP2 = mini-super/supermarket), transportation, home storage, cooking, and cross-contamination. The model predicted a mean annual salmonellosis cases of 66,754 due to chicken consumption (CI95% 10775-231606). The mean probability of illness (Pill) among the exposure scenarios ranged from 2.5 × 10-9 to 3.7 × 10-6, 7.7 × 10-8 to 1.1 × 10-4, and 6.7 × 10-4 to 7.8 × 10-2 for low, moderate, and high virulence groups. Exposure scenarios with the highest Pill were not responsible for most cases due to their low frequency of occurrence. The high virulence/ MDR group was responsible for most cases (66.5 %), despite the low S. enterica prevalence (RP1 0.5 % and RP2 5.0 %). The years lost due to disability (YLD) value for MDR was 2.6 × higher than for non-MDR. Spearman rank showed that the inputs with higher influence on the variability of salmonellosis depended on the type of exposure scenario. For example, the cooking temperature and time had the most significant influence in the scenarios where S. enterica can survive after cooking. Including the microbial genotypic and phenotypic characteristics in risk assessment modeling highlights the importance of focusing on high-virulent and MDR strains, which are not the most frequent but represent the highest public health risk.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Intoxicación Alimentaria por Salmonella / Infecciones por Salmonella Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Animals / Humans País/Región como asunto: Mexico Idioma: En Revista: Food Res Int Año: 2022 Tipo del documento: Article País de afiliación: México Pais de publicación: Canadá
Texto completo
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XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Intoxicación Alimentaria por Salmonella / Infecciones por Salmonella Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Animals / Humans País/Región como asunto: Mexico Idioma: En Revista: Food Res Int Año: 2022 Tipo del documento: Article País de afiliación: México Pais de publicación: Canadá