Literature DB >> 24841487

Gene expression profiling and putative biomarkers of calves 3 months after infection with Mycobacterium avium subspecies paratuberculosis.

Joel David1, Herman W Barkema2, Rienske Mortier3, Subrata Ghosh4, Le Luo Guan5, Jeroen De Buck6.   

Abstract

Mycobacterium avium subsp. paratuberculosis (MAP) causes Johne's disease (JD), a chronic granulomatous intestinal inflammation of ruminants. Current diagnostic tools lack sensitivity to detect JD early in infection; therefore, alternatives are desired. The objective was to identify potential biomarkers in whole blood of high- and low-dose (LD) MAP-challenged Holstein-Friesian calves 3 months after inoculation. Infected calves were designated MAP-positive using the IFN-γ release assay. Differential expression of transcripts in whole blood was compared between non-infected controls and HD, as well as LD calves, using the Affymetrix(®) GeneChip(®) Bovine Genome Array. Microarray data were analyzed using RMA and PLIER algorithms; 296 transcripts were differentially expressed (17 had ≥ 1.5 fold change). The HD and LD calves had differential gene expression profiles for up to 80% of differentially expressed genes. Pathway analyses using Ingenuity Pathway Analysis (IPA(®)) indicated inhibition of several defence mechanisms, including apoptosis, leukocyte and lymphocyte trafficking, overall repression of gene expression and potentially hydrogen peroxide production in macrophages. Further validation using qPCR verified increased expression of CD46, ICOS, and CEP350, but decreased expression of CTLA4, YARS, and PARVB in infected calves. Additionally, a comparison of seropositive and seronegative infected calves identified transcripts predictive of seroconversion. We concluded that IL6ST/gp130 and CD22 may have important roles in the induction of antibodies against MAP. Putative biomarkers of early MAP infection with roles in immune responses were identified; in addition, the importance of infective dose on biomarkers was determined.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biomarkers; Cattle; Johne's disease; Mycobacterium avium subspecies paratuberculosis; Transcriptomics

Mesh:

Substances:

Year:  2014        PMID: 24841487     DOI: 10.1016/j.vetimm.2014.04.006

Source DB:  PubMed          Journal:  Vet Immunol Immunopathol        ISSN: 0165-2427            Impact factor:   2.046


  14 in total

1.  Responses of Bovine Innate Immunity to Mycobacterium avium subsp. paratuberculosis Infection Revealed by Changes in Gene Expression and Levels of MicroRNA.

Authors:  Michela Malvisi; Fiorentina Palazzo; Nicola Morandi; Barbara Lazzari; John L Williams; Giulio Pagnacco; Giulietta Minozzi
Journal:  PLoS One       Date:  2016-10-19       Impact factor: 3.240

2.  Gene-expression profiling of calves 6 and 9 months after inoculation with Mycobacterium avium subspecies paratuberculosis.

Authors:  Joel David; Herman W Barkema; Le Luo Guan; Jeroen De Buck
Journal:  Vet Res       Date:  2014-10-02       Impact factor: 3.683

3.  Establishment a real-time reverse transcription PCR based on host biomarkers for the detection of the subclinical cases of Mycobacterium avium subsp. paratuberculosis.

Authors:  Hyun-Eui Park; Hong-Tae Park; Young Hoon Jung; Han Sang Yoo
Journal:  PLoS One       Date:  2017-05-25       Impact factor: 3.240

4.  Biomarkers for Early Stages of Johne's Disease Infection and Immunization in Goats.

Authors:  Aubrey Berry; Chia-Wei Wu; Amanda J Venturino; Adel M Talaat
Journal:  Front Microbiol       Date:  2018-09-28       Impact factor: 5.640

5.  Gene expression profiles during subclinical Mycobacterium avium subspecies paratuberculosis infection in sheep can predict disease outcome.

Authors:  Auriol C Purdie; Karren M Plain; Douglas J Begg; Kumudika de Silva; Richard J Whittington
Journal:  Sci Rep       Date:  2019-06-03       Impact factor: 4.379

Review 6.  Application of Transcriptomics to Enhance Early Diagnostics of Mycobacterial Infections, with an Emphasis on Mycobacterium avium ssp. paratuberculosis.

Authors:  Marielle H van den Esker; Ad P Koets
Journal:  Vet Sci       Date:  2019-06-26

7.  Combinatorial Discriminant Analysis Applied to RNAseq Data Reveals a Set of 10 Transcripts as Signatures of Exposure of Cattle to Mycobacterium avium subsp. paratuberculosis.

Authors:  Michela Malvisi; Nico Curti; Daniel Remondini; Maria Grazia De Iorio; Fiorentina Palazzo; Gustavo Gandini; Silvia Vitali; Michele Polli; John L Williams; Giulietta Minozzi
Journal:  Animals (Basel)       Date:  2020-02-05       Impact factor: 2.752

8.  The Features of Fecal and Ileal Mucosa-Associated Microbiota in Dairy Calves during Early Infection with Mycobacterium avium Subspecies paratuberculosis.

Authors:  Hooman Derakhshani; Jeroen De Buck; Rienske Mortier; Herman W Barkema; Denis O Krause; Ehsan Khafipour
Journal:  Front Microbiol       Date:  2016-03-31       Impact factor: 5.640

9.  Analysis of Biobanked Serum from a Mycobacterium avium subsp paratuberculosis Bovine Infection Model Confirms the Remarkable Stability of Circulating miRNA Profiles and Defines a Bovine Serum miRNA Repertoire.

Authors:  Ronan G Shaughnessy; Damien Farrell; Karel Riepema; Douwe Bakker; Stephen V Gordon
Journal:  PLoS One       Date:  2015-12-16       Impact factor: 3.240

10.  Gene expression profiles of immune-regulatory genes in whole blood of cattle with a subclinical infection of Mycobacterium avium subsp. paratuberculosis.

Authors:  Hyun-Eui Park; Hong-Tae Park; Young Hoon Jung; Han Sang Yoo
Journal:  PLoS One       Date:  2018-04-26       Impact factor: 3.240

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