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Vol. 11, Issue 4 (2022)

Evaluation of acid fast staining and fluorescence staining methods for detection of Mycobacterium tuberculosis complex members from tissue samples collected from bovines from slaughterhouses

Author(s):
Kumar E, Krishnaiah N, Shashi Kumar M, Kalyani P, Gopala Reddy A, Chatalod LR and Dr. Sonali M
Abstract:
Tuberculosis in bovines, mainly caused by Mycobacterium bovis, an important member of Mycobacterium tuberculosis complex, which are having implications for public health and huge economic impact on farming community. In the present study, 94 post mortem samples were collected from 71 bovines, which includes 23 tuberculosis suspected lung tissues and 71 prescapular/ mediastinal/ bronchial/ mesenteric lymph node samples from three slaughterhouses in vicinity of Hyderabad, Telanagana, India the prevalence of tuberculosis in bovines. The prevalence of tuberculosis in slaughtered animals was 73.24% (52/71) by acid fast staining, 85.92% (61/71) by auramine staining and 18.31% (13/71) by PCR. The relative diagnostic sensitivity and specificity of acid fast staining were 100% and 32.76% and for auramine staining were 100% and 17.24% respectively against PCR technique. Among all methods employed, the ZN staining method was found to be more sensitive than auramine O staining and PCR assay. However, only MTBC PCR assay only we could find the presence of MTBC members as microscopic methods could not differentiate the MTBC members from other species of Mycobacteria, which were not amplified due to absence of specific primers in PCR assay. In conclusion, PCR is more reliable diagnostic tool for diagnosis of bovine tuberculosis.
Pages: 883-887  |  327 Views  154 Downloads


The Pharma Innovation Journal
How to cite this article:
Kumar E, Krishnaiah N, Shashi Kumar M, Kalyani P, Gopala Reddy A, Chatalod LR, Dr. Sonali M. Evaluation of acid fast staining and fluorescence staining methods for detection of Mycobacterium tuberculosis complex members from tissue samples collected from bovines from slaughterhouses. Pharma Innovation 2022;11(4):883-887.

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