↓ Skip to main content

Malignant Catarrhal Fever in Brazilian cattle presenting with neurological syndrome

Overview of attention for article published in Brazilian Journal of Microbiology, January 2017
Altmetric Badge

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
31 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Malignant Catarrhal Fever in Brazilian cattle presenting with neurological syndrome
Published in
Brazilian Journal of Microbiology, January 2017
DOI 10.1016/j.bjm.2016.10.021
Pubmed ID
Authors

Maira de S.N. Martins, Alessandra M.M.G. de Castro, Michele dos S. Lima, Vivian da S.C. Pinto, Thaís G. da Silva, Claudia Del Fava, Claudio Regis Depes, Liria H. Okuda, Edviges M. Pituco

Abstract

Malignant Catarrhal Fever (MCF) was investigated in the central nervous system of cattle with neurological syndrome. Two-hundred-ninety samples were analyzed by histology, and molecular methods to detect ovine herpesvirus type 2 (OvHV-2) were optimized and validated. The qualitative polymerase chain reaction (qualitative PCR) analytical sensitivity was 10(1)DNA copies/μL and found 4.8% (14/290) positive for OvHV-2. The quantitative polymerase chain reaction (qPCR) analytical sensitivity was 10(0)DNA copy/μL and 5.9% (17/290) positivity, with 47.1% (8/17) of the positive samples presenting histological evidence of non-purulent meningo-encephalitis. The qualitative PCR products (422bp of the ORF75 region) were sequenced and submitted to phylogenetic analysis. Identity matrices showed 100% similarity in OvHV-2 samples obtained in this study and those recovered from GenBank, corroborating other studies.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 5 16%
Student > Master 5 16%
Researcher 4 13%
Lecturer 3 10%
Student > Bachelor 3 10%
Other 6 19%
Unknown 5 16%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 11 35%
Agricultural and Biological Sciences 5 16%
Medicine and Dentistry 4 13%
Economics, Econometrics and Finance 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 0 0%
Unknown 9 29%