Literature DB >> 21346047

Multivariate analyses revealed distinctive features differentiating human and cattle isolates of Shiga toxin-producing Escherichia coli O157 in Japan.

Ken-ichi Lee1, Nigel P French, Yukiko Hara-Kudo, Sunao Iyoda, Hideki Kobayashi, Yoshiko Sugita-Konishi, Hirokazu Tsubone, Susumu Kumagai.   

Abstract

Genotypes of Shiga toxin-producing Escherichia coli (STEC) O157 isolated from humans and cattle were analyzed by uni- and multivariable logistic regression, and population structure methods, to gain insight into transmission and the nature of human infection. Eleven genotyping assays, including PCR typing of five virulence factors (stx(1), stx(2), stx(2c), eae, and ehxA) and a lineage-specific polymorphism assay using six markers (LSPA6), were considered in the analyses. The prevalence of the stx(1), stx(2), and stx(2c) virulence factors was significantly different between human and cattle isolates. However, multivariable regression revealed that the presence of only the stx(2) gene was significantly associated with human isolates after controlling for confounding effects. LSPA6 typing demonstrated an apparent difference in the distribution of LSPA6 lineages between human and cattle isolates and a strong association between stx genotypes and LSPA6 genotypes. Population genetics tools identified three genetically distinct clusters of STEC O157. Each cluster was characterized by stx genotypes and LSPA6 genotypes. The human isolates typically comprised LSPA6 lineage I with stx(1) stx(2) strains and LSPA6 lineage I/II with stx(2c) or stx(2) stx(2c) strains [corrected]. In contrast, the cattle isolates comprised LSPA6 lineage II strains withstx(2c) or stx(1) stx(2c) strains [corrected] in addition to the clusters identified for the human isolates. Our analyses provide new evidence that the stx(2) gene is the most distinctive feature in human isolates compared to cattle isolates in Japan, and only a subset of the genetically diverse population isolated from cattle is involved in human illnesses. Our results may contribute to international comparisons and risk assessments of STEC O157.

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Year:  2011        PMID: 21346047      PMCID: PMC3122830          DOI: 10.1128/JCM.02640-10

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  33 in total

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4.  CLUMPP: a cluster matching and permutation program for dealing with label switching and multimodality in analysis of population structure.

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8.  Differentiation in virulence patterns of Escherichia coli possessing eae genes.

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  12 in total

1.  Variation in stress resistance patterns among stx genotypes and genetic lineages of shiga toxin-producing Escherichia coli O157.

Authors:  Ken-Ichi Lee; Nigel P French; Geoff Jones; Yukiko Hara-Kudo; Sunao Iyoda; Hideki Kobayashi; Yoshiko Sugita-Konishi; Hirokazu Tsubone; Susumu Kumagai
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Journal:  Eur J Clin Microbiol Infect Dis       Date:  2011-05-15       Impact factor: 3.267

4.  Genetic features differentiating bovine, food, and human isolates of shiga toxin-producing Escherichia coli O157 in The Netherlands.

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5.  Identification of shiga toxin and intimin coding genes in Escherichia coli isolates from pigeons (Columba livia) in relation to phylotypes and antibiotic resistance patterns.

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7.  Molecular and antimicrobial susceptibility analyses distinguish clinical from bovine Escherichia coli O157 strains.

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8.  Virulence gene profiles and population genetic analysis for exploration of pathogenic serogroups of Shiga toxin-producing Escherichia coli.

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Journal:  J Clin Microbiol       Date:  2013-09-25       Impact factor: 5.948

9.  Nationwide investigation of Shiga toxin-producing Escherichia coli among cattle in Japan revealed the risk factors and potentially virulent subgroups.

Authors:  K Lee; M Kusumoto; T Iwata; S Iyoda; M Akiba
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10.  Carriage of stx2a differentiates clinical and bovine-biased strains of Escherichia coli O157.

Authors:  Smriti Shringi; Carrie Schmidt; Kaya Katherine; Kelly A Brayton; Dale D Hancock; Thomas E Besser
Journal:  PLoS One       Date:  2012-12-11       Impact factor: 3.240

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