Literature DB >> 22023832

Pathogenesis of paratuberculosis.

Raymond W Sweeney1.   

Abstract

Paratuberculosis in ruminants is characterized by oral ingestion of Mycobacterium avium subsp. paratuberculosis (MAP), followed by a long incubation period during which time MAP is able to survive within the host’s macrophages. Initially the infection is held in check by the host’s cell-mediated immune response, but gradually the host loses control of the infection. The infection incites a granulomatous inflammatory response in intestinal tissue and mesenteric lymph nodes, resulting in protein-losing enteropathy, malabsorption, diarrhea, weight loss, and edema.

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Year:  2011        PMID: 22023832     DOI: 10.1016/j.cvfa.2011.07.001

Source DB:  PubMed          Journal:  Vet Clin North Am Food Anim Pract        ISSN: 0749-0720            Impact factor:   3.357


  51 in total

1.  Mycobacteriophage cell binding proteins for the capture of mycobacteria.

Authors:  Denis Arutyunov; Upasana Singh; Amr El-Hawiet; Henrique Dos Santos Seckler; Sanaz Nikjah; Maju Joe; Yu Bai; Todd L Lowary; John S Klassen; Stephane Evoy; Christine M Szymanski
Journal:  Bacteriophage       Date:  2014-12-16

2.  Seroprevalence and risk factors of Mycobacterium avium subspecies paratuberculosis infection in domestic sika deer in China.

Authors:  Qing-Feng Meng; Ying Li; Fan Yang; Gui-Zhi Yao; Ai-Dong Qian; Wei-Li Wang; Wei Cong
Journal:  Trop Anim Health Prod       Date:  2015-04-24       Impact factor: 1.559

3.  Persistence of Mycobacterium avium subsp. paratuberculosis in soil, crops, and ensiled feed following manure spreading on infected dairy farms.

Authors:  Marie-Eve Fecteau; Ernest Hovingh; Robert H Whitlock; Raymond W Sweeney
Journal:  Can Vet J       Date:  2013-11       Impact factor: 1.008

Review 4.  Mycobacterium avium subspecies paratuberculosis: an insidious problem for the ruminant industry.

Authors:  Mohamed Salem; Carsten Heydel; Amr El-Sayed; Samia A Ahmed; Michael Zschöck; George Baljer
Journal:  Trop Anim Health Prod       Date:  2012-09-30       Impact factor: 1.559

5.  Effect of soil slope on the appearance of Mycobacterium avium subsp. paratuberculosis in water running off grassland soil after application of contaminated slurry.

Authors:  M Salgado; M Alfaro; F Salazar; E Troncoso; R M Mitchell; L Ramirez; A Naguil; P Zamorano; M T Collins
Journal:  Appl Environ Microbiol       Date:  2013-03-29       Impact factor: 4.792

6.  Identification of additional loci associated with antibody response to Mycobacterium avium ssp. Paratuberculosis in cattle by GSEA-SNP analysis.

Authors:  Marcello Del Corvo; Mario Luini; Alessandra Stella; Giulio Pagnacco; Paolo Ajmone-Marsan; John L Williams; Giulietta Minozzi
Journal:  Mamm Genome       Date:  2017-09-01       Impact factor: 2.957

7.  Structure determination of lipopeptides from Mycobacterium avium subspecies paratuberculosis and identification of antigenic lipopeptide probes.

Authors:  Katsuhiko Mitachi; Lekh Nath Sharma Gautam; Jeffrey H Rice; Keiko Eda; Ashutosh Wadhwa; Eiichi Momotani; Joseph P Hlopak; Shigetoshi Eda; Michio Kurosu
Journal:  Anal Biochem       Date:  2016-04-22       Impact factor: 3.365

8.  Longitudinal evaluation of diagnostics in experimentally infected young calves during subclinical and clinical paratuberculosis.

Authors:  Rienske A R Mortier; Herman W Barkema; Karin Orsel; Gregory P Muench; Janet M Bystrom; Oscar Illanes; Jeroen De Buck
Journal:  Can Vet J       Date:  2015-12       Impact factor: 1.008

9.  Early Detection of Mycobacterium avium subsp. paratuberculosis Infected Cattle: Use of Experimental Johnins and Innovative Interferon-Gamma Test Interpretative Criteria.

Authors:  Sara Corneli; Antonella Di Paolo; Nicoletta Vitale; Martina Torricelli; Linda Petrucci; Carla Sebastiani; Marcella Ciullo; Ludovica Curcio; Massimo Biagetti; Paola Papa; Silva Costarelli; Monica Cagiola; Alessandro Dondo; Piera Mazzone
Journal:  Front Vet Sci       Date:  2021-05-14

10.  Identification of Long Non-coding RNA Isolated From Naturally Infected Macrophages and Associated With Bovine Johne's Disease in Canadian Holstein Using a Combination of Neural Networks and Logistic Regression.

Authors:  Andrew Marete; Olivier Ariel; Eveline Ibeagha-Awemu; Nathalie Bissonnette
Journal:  Front Vet Sci       Date:  2021-04-22
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