Literature DB >> 25029310

Frequency of Corynebacterium pseudotuberculosis infection in horses across the United States during a 10-year period.

Isabelle Kilcoyne1, Sharon J Spier, Craig N Carter, Jacqueline L Smith, Amy K Swinford, Noah D Cohen.   

Abstract

OBJECTIVE: To quantify the number of horses with Corynebacterium pseudotuberculosis infection identified in the United States from January 2003 through December 2012.
DESIGN: Cross-sectional study. SAMPLE: State veterinary diagnostic laboratory records of 2,237 C pseudotuberculosis culture-positive samples from horses. PROCEDURES: 44 state veterinary diagnostic laboratories throughout the United States were invited by mail to participate in the study. Data requested included the number of C pseudotuberculosis culture-positive samples from horses identified per year, geographic location from which the C pseudotuberculosis culture-positive sample was submitted, month and year of sample submission, breed and age of horses, and category of clinical manifestation (ie, internal infection, external infection, or ulcerative lymphangitis).
RESULTS: Of the 44 invited laboratories, 15 agreed to participate and provided data on affected horses from 23 states. The proportion of C pseudotuberculosis culture-positive samples submitted during 2011 through 2012 (1,213/2,237 [54%]) was significantly greater than that for the period from 2003 through 2010 (1,024/2,237 [46%]). Corynebacterium pseudotuberculosis was recovered from horses in states where the disease has not been previously recognized as endemic. Affected horses were identified year-round. The greatest proportion of C pseudotuberculosis culture-positive samples was identified during November, December, and January (789/2,237 [35%]). No significant association between the clinical form of disease and age or breed of horse was observed. CONCLUSIONS AND CLINICAL RELEVANCE: The occurrence of C pseudotuberculosis infection in horses increased during the 10-year period, and affected horses were identified throughout the United States. Further studies to determine changes in annual incidence and to identify potential changing climatic conditions or vector populations associated with disease transmission are warranted to help control the occurrence and spread of C pseudotuberculosis infection in horses.

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Year:  2014        PMID: 25029310     DOI: 10.2460/javma.245.3.309

Source DB:  PubMed          Journal:  J Am Vet Med Assoc        ISSN: 0003-1488            Impact factor:   1.936


  8 in total

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Authors:  Louise E Corbeil; Jennifer F Morrissey; Renaud Léguillette
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2.  A proposal to leverage high-quality veterinary diagnostic laboratory large data streams for animal health, public health, and One Health.

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Authors:  M Barba; A J Stewart; T Passler; A A Wooldridge; E van Santen; M F Chamorro; R C Cattley; T Hathcock; J A Hogsette; X P Hu
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4.  Bayesian Geostatistical Analysis and Ecoclimatic Determinants of Corynebacterium pseudotuberculosis Infection among Horses.

Authors:  Courtney Boysen; Elizabeth G Davis; Laurie A Beard; Brian V Lubbers; Ram K Raghavan
Journal:  PLoS One       Date:  2015-10-16       Impact factor: 3.240

5.  Genomic analysis of four strains of Corynebacterium pseudotuberculosis bv. Equi isolated from horses showing distinct signs of infection.

Authors:  Rafael A Baraúna; Rommel T J Ramos; Adonney A O Veras; Pablo H C G de Sá; Luís C Guimarães; Diego A das Graças; Adriana R Carneiro; Judy M Edman; Sharon J Spier; Vasco Azevedo; Artur Silva
Journal:  Stand Genomic Sci       Date:  2017-01-31

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Authors:  Wanderson M Silva; Rodrigo D De Oliveira Carvalho; Fernanda A Dorella; Edson L Folador; Gustavo H M F Souza; Adriano M C Pimenta; Henrique C P Figueiredo; Yves Le Loir; Artur Silva; Vasco Azevedo
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7.  Assessing the Genotypic Differences between Strains of Corynebacterium pseudotuberculosis biovar equi through Comparative Genomics.

Authors:  Rafael A Baraúna; Rommel T J Ramos; Adonney A O Veras; Kenny C Pinheiro; Leandro J Benevides; Marcus V C Viana; Luís C Guimarães; Judy M Edman; Sharon J Spier; Vasco Azevedo; Artur Silva
Journal:  PLoS One       Date:  2017-01-26       Impact factor: 3.240

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Authors:  Doglas Parise; Mariana T D Parise; Marcus V C Viana; Adrian V Muñoz-Bucio; Yazmin A Cortés-Pérez; Beatriz Arellano-Reynoso; Efrén Díaz-Aparicio; Fernanda A Dorella; Felipe L Pereira; Alex F Carvalho; Henrique C P Figueiredo; Preetam Ghosh; Debmalya Barh; Anne C P Gomide; Vasco A C Azevedo
Journal:  Stand Genomic Sci       Date:  2018-10-10
  8 in total

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