Literature DB >> 24089453

Novel secreted antigens of Mycobacterium paratuberculosis as serodiagnostic biomarkers for Johne's disease in cattle.

Antonio Facciuolo1, David F Kelton, Lucy M Mutharia.   

Abstract

Johne's disease is a chronic gastroenteritis of cattle caused by Mycobacterium avium subsp. paratuberculosis that afflicts 40% of dairy herds worldwide. M. avium subsp. paratuberculosis-infected cattle can remain asymptomatic for years while transmitting the pathogen via fecal contamination and milk. Current serodiagnosis with enzyme-linked immunosorbent assays (ELISAs) fails to detect asymptomatic M. avium subsp. paratuberculosis-infected cattle due to the use of poorly defined antigens and knowledge gaps in our understanding of M. avium subsp. paratuberculosis components eliciting pathogen-specific immune responses. We set out to (i) define a subset of proteins that contain putative antigenic targets and (ii) screen these antigen pools for immunogens relevant in detecting infection. To accomplish our first objective, we captured and resolved M. avium subsp. paratuberculosis-secreted proteins using a 2-step fractionation method and reverse-phase liquid chromatography to identify 162 unique proteins, of which 66 had not been previously observed in M. avium subsp. paratuberculosis culture filtrates. Subsequent screening of M. avium subsp. paratuberculosis-secreted proteins showed four antigens, of which one or more reacted on immunoblotting with individual serum samples from 35 M. avium subsp. paratuberculosis-infected cows. Moreover, these novel antigens reacted with sera from 6 low M. avium subsp. paratuberculosis shedders and 3 fecal-culture-positive cows labeled as ELISA seronegative. The specificity of these antigens was demonstrated using negative-control sera from uninfected calves (n = 5) and uninfected cows (n = 5), which did not react to any of these antigens in immunoblotting. As three of the four antigens are novel, their characterization and incorporation into an ELISA-based format will aid in detecting asymptomatic cattle in early or subclinical stages of disease.

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Year:  2013        PMID: 24089453      PMCID: PMC3889510          DOI: 10.1128/CVI.00380-13

Source DB:  PubMed          Journal:  Clin Vaccine Immunol        ISSN: 1556-679X


  37 in total

1.  Longitudinal study of ELISA seroreactivity to Mycobacterium avium subsp. paratuberculosis in infected cattle and culture-negative herd mates.

Authors:  Raymond W Sweeney; Robert H Whitlock; Susan McAdams; Terry Fyock
Journal:  J Vet Diagn Invest       Date:  2006-01       Impact factor: 1.279

2.  Enhancement of diaminobenzidine colorimetric signal in immunoblotting.

Authors:  L A Pukac; J E Carter; K S Morrison; M J Karnovsky
Journal:  Biotechniques       Date:  1997-09       Impact factor: 1.993

3.  Differential proteome analysis of Mycobacterium avium subsp. paratuberculosis grown in vitro and isolated from cases of clinical Johne's disease.

Authors:  Mathias Weigoldt; Jochen Meens; Klaus Doll; Isabel Fritsch; Petra Möbius; Ralph Goethe; Gerald F Gerlach
Journal:  Microbiology       Date:  2010-11-04       Impact factor: 2.777

4.  Proteome and differential expression analysis of membrane and cytosolic proteins from Mycobacterium avium subsp. paratuberculosis strains K-10 and 187.

Authors:  Thomas J Radosevich; Timothy A Reinhardt; John D Lippolis; John P Bannantine; Judith R Stabel
Journal:  J Bacteriol       Date:  2006-12-01       Impact factor: 3.490

5.  Comparative genomic hybridizations reveal genetic regions within the Mycobacterium avium complex that are divergent from Mycobacterium avium subsp. paratuberculosis isolates.

Authors:  Michael L Paustian; Vivek Kapur; John P Bannantine
Journal:  J Bacteriol       Date:  2005-04       Impact factor: 3.490

6.  Serodiagnostic potential of culture filtrate antigens of Mycobacterium tuberculosis.

Authors:  K M Samanich; M A Keen; V D Vissa; J D Harder; J S Spencer; J T Belisle; S Zolla-Pazner; S Laal
Journal:  Clin Diagn Lab Immunol       Date:  2000-07

7.  Identification of secreted proteins of Mycobacterium tuberculosis by a bioinformatic approach.

Authors:  M Gomez; S Johnson; M L Gennaro
Journal:  Infect Immun       Date:  2000-04       Impact factor: 3.441

8.  Metabolic adaptation of Mycobacterium avium subsp. paratuberculosis to the gut environment.

Authors:  Mathias Weigoldt; Jochen Meens; Franz-Christoph Bange; Andreas Pich; Gerald F Gerlach; Ralph Goethe
Journal:  Microbiology (Reading)       Date:  2012-12-06       Impact factor: 2.777

9.  Estimate of the direct production losses in Canadian dairy herds with subclinical Mycobacterium avium subspecies paratuberculosis infection.

Authors:  Ashwani Tiwari; John A VanLeeuwen; Ian R Dohoo; Greg P Keefe; Alfons Weersink
Journal:  Can Vet J       Date:  2008-06       Impact factor: 1.008

10.  Antigen discovery: a postgenomic approach to paratuberculosis diagnosis.

Authors:  Baptiste Leroy; Virginie Roupie; Isabelle Noël-Georis; Valérie Rosseels; Karl Walravens; Marc Govaerts; Kris Huygen; Ruddy Wattiez
Journal:  Proteomics       Date:  2007-04       Impact factor: 3.984

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  15 in total

1.  Recombinant 20.8-kDa protein of Mycobacterium avium subsp. paratuberculosis-based sero-diagnosis of paratuberculosis.

Authors:  P P Goswami; Gokul Chand; N S Prasad; R Deb; S H Basagoudanavar
Journal:  3 Biotech       Date:  2017-06-16       Impact factor: 2.406

Review 2.  Biomarkers for Detecting Resilience against Mycobacterial Disease in Animals.

Authors:  Kathryn Wright; Karren Plain; Auriol Purdie; Bernadette M Saunders; Kumudika de Silva
Journal:  Infect Immun       Date:  2019-12-17       Impact factor: 3.441

3.  Identification of Novel Seroreactive Antigens in Johne's Disease Cattle by Using the Mycobacterium tuberculosis Protein Array.

Authors:  John P Bannantine; Joseph J Campo; Lingling Li; Arlo Randall; Jozelyn Pablo; Craig A Praul; Juan Antonio Raygoza Garay; Judith R Stabel; Vivek Kapur
Journal:  Clin Vaccine Immunol       Date:  2017-07-05

Review 4.  Mycobacterial glycoproteins: a novel subset of vaccine candidates.

Authors:  Antonio Facciuolo; Lucy M Mutharia
Journal:  Front Cell Infect Microbiol       Date:  2014-09-17       Impact factor: 5.293

5.  Inferring biomarkers for Mycobacterium avium subsp. paratuberculosis infection and disease progression in cattle using experimental data.

Authors:  Gesham Magombedze; Tinevimbo Shiri; Shigetoshi Eda; Judy R Stabel
Journal:  Sci Rep       Date:  2017-03-20       Impact factor: 4.379

6.  MAP1981c, a Putative Nucleic Acid-Binding Protein, Produced by Mycobacterium avium subsp. paratuberculosis, Induces Maturation of Dendritic Cells and Th1-Polarization.

Authors:  Woo Sik Kim; Min-Kyoung Shin; Sung Jae Shin
Journal:  Front Cell Infect Microbiol       Date:  2018-06-21       Impact factor: 5.293

7.  Composition and Potency Characterization of Mycobacterium avium subsp. paratuberculosis Purified Protein Derivatives.

Authors:  Randal T Capsel; Charles O Thoen; Timothy A Reinhardt; John D Lippolis; Renee Olsen; Judith R Stabel; John P Bannantine
Journal:  PLoS One       Date:  2016-05-02       Impact factor: 3.240

8.  Marked Differences in Mucosal Immune Responses Induced in Ileal versus Jejunal Peyer's Patches to Mycobacterium avium subsp. paratuberculosis Secreted Proteins following Targeted Enteric Infection in Young Calves.

Authors:  Antonio Facciuolo; Patricia Gonzalez-Cano; Scott Napper; Philip J Griebel; Lucy M Mutharia
Journal:  PLoS One       Date:  2016-07-07       Impact factor: 3.240

9.  Early detection of Mycobacterium avium subsp. paratuberculosis infection in cattle with multiplex-bead based immunoassays.

Authors:  Lingling Li; Bettina Wagner; Heather Freer; Megan Schilling; John P Bannantine; Joseph J Campo; Robab Katani; Yrjo T Grohn; Jessica Radzio-Basu; Vivek Kapur
Journal:  PLoS One       Date:  2017-12-19       Impact factor: 3.240

10.  Resilience to infection by Mycobacterium avium subspecies paratuberculosis following direct intestinal inoculation in calves.

Authors:  Kevin J Stinson; Monica M Baquero; Brandon L Plattner
Journal:  Vet Res       Date:  2018-07-13       Impact factor: 3.683

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