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Prediction of Johne’s disease state based on quantification of T cell markers and their interaction with macrophages in the bovine intestine
Cell-mediated immune responses to Mycobacterium avium subsp. paratuberculosis (MAP) are regulated by various types of T lymphocytes. The aim of this study was to quantitate T cell subsets in the mid-ileum of cows naturally infected with MAP to identify differences during different stages of infectio...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8042692/ https://www.ncbi.nlm.nih.gov/pubmed/33849661 http://dx.doi.org/10.1186/s13567-021-00925-x |
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author | Jenvey, Caitlin J. Shircliff, Adrienne L. Obando Marrero, Elsa Stabel, Judith R. |
author_facet | Jenvey, Caitlin J. Shircliff, Adrienne L. Obando Marrero, Elsa Stabel, Judith R. |
author_sort | Jenvey, Caitlin J. |
collection | PubMed |
description | Cell-mediated immune responses to Mycobacterium avium subsp. paratuberculosis (MAP) are regulated by various types of T lymphocytes. The aim of this study was to quantitate T cell subsets in the mid-ileum of cows naturally infected with MAP to identify differences during different stages of infection, and to determine whether these subsets could be used as predictors of disease state. Immunofluorescent labeling of T cell subsets and macrophages was performed on frozen mid-ileal tissue sections archived from naturally infected dairy cows in either subclinical or clinical disease status, and noninfected control cows. Comprehensive IF staining for CD4, CD8α, TcR1-N24 (gamma delta), FoxP3, CXCR3 and CCR9 served to define T cell subsets and was correlated with macrophages present. Clinically affected cows demonstrated significantly higher numbers of CXCR3(+) (Th1-type) and CCR9(+) (total small intestinal lymphocytes) cells at the site of infection compared to the subclinical cows and noninfected controls. Further, predictive modeling indicated a significant interaction between CXCR3(+) and AM3K(+) (macrophages) cells, suggesting that progression to clinical disease state aligns with increased numbers of these cell types at the site of infection. The ability to predict disease state with this model was improved from previous modeling using immunofluorescent macrophage data. Predictive modelling indicated an interaction between CXCR3(+) and AM3K(+) cells, which could more sensitively detect subclinical cows compared to clinical cows. It may be possible to use this knowledge to improve and develop an assay to detect subclinically infected animals with more confidence during the early stages of the disease. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13567-021-00925-x. |
format | Online Article Text |
id | pubmed-8042692 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-80426922021-04-14 Prediction of Johne’s disease state based on quantification of T cell markers and their interaction with macrophages in the bovine intestine Jenvey, Caitlin J. Shircliff, Adrienne L. Obando Marrero, Elsa Stabel, Judith R. Vet Res Research Article Cell-mediated immune responses to Mycobacterium avium subsp. paratuberculosis (MAP) are regulated by various types of T lymphocytes. The aim of this study was to quantitate T cell subsets in the mid-ileum of cows naturally infected with MAP to identify differences during different stages of infection, and to determine whether these subsets could be used as predictors of disease state. Immunofluorescent labeling of T cell subsets and macrophages was performed on frozen mid-ileal tissue sections archived from naturally infected dairy cows in either subclinical or clinical disease status, and noninfected control cows. Comprehensive IF staining for CD4, CD8α, TcR1-N24 (gamma delta), FoxP3, CXCR3 and CCR9 served to define T cell subsets and was correlated with macrophages present. Clinically affected cows demonstrated significantly higher numbers of CXCR3(+) (Th1-type) and CCR9(+) (total small intestinal lymphocytes) cells at the site of infection compared to the subclinical cows and noninfected controls. Further, predictive modeling indicated a significant interaction between CXCR3(+) and AM3K(+) (macrophages) cells, suggesting that progression to clinical disease state aligns with increased numbers of these cell types at the site of infection. The ability to predict disease state with this model was improved from previous modeling using immunofluorescent macrophage data. Predictive modelling indicated an interaction between CXCR3(+) and AM3K(+) cells, which could more sensitively detect subclinical cows compared to clinical cows. It may be possible to use this knowledge to improve and develop an assay to detect subclinically infected animals with more confidence during the early stages of the disease. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13567-021-00925-x. BioMed Central 2021-04-13 2021 /pmc/articles/PMC8042692/ /pubmed/33849661 http://dx.doi.org/10.1186/s13567-021-00925-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Jenvey, Caitlin J. Shircliff, Adrienne L. Obando Marrero, Elsa Stabel, Judith R. Prediction of Johne’s disease state based on quantification of T cell markers and their interaction with macrophages in the bovine intestine |
title | Prediction of Johne’s disease state based on quantification of T cell markers and their interaction with macrophages in the bovine intestine |
title_full | Prediction of Johne’s disease state based on quantification of T cell markers and their interaction with macrophages in the bovine intestine |
title_fullStr | Prediction of Johne’s disease state based on quantification of T cell markers and their interaction with macrophages in the bovine intestine |
title_full_unstemmed | Prediction of Johne’s disease state based on quantification of T cell markers and their interaction with macrophages in the bovine intestine |
title_short | Prediction of Johne’s disease state based on quantification of T cell markers and their interaction with macrophages in the bovine intestine |
title_sort | prediction of johne’s disease state based on quantification of t cell markers and their interaction with macrophages in the bovine intestine |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8042692/ https://www.ncbi.nlm.nih.gov/pubmed/33849661 http://dx.doi.org/10.1186/s13567-021-00925-x |
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