Deeper exploration of inflammatory cell populations in milk to monitor udder health in dairy cows
ABSTRACT The present study explored the predictive values of milk leukocyte differentials (MLD) as a basis for improving the diagnosis of intramammary infections (IMIs) and subclinical mastitis. Quarter milk samples were collected for bacteriological analysis, quarter somatic cell count (qSCC), and...
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| Format: | Article |
| Language: | English |
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Universidade de São Paulo
2023-07-01
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| Series: | Scientia Agricola |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162023000100408&tlng=en |
| _version_ | 1797783376633004032 |
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| author | Carolina Menezes Suassuna de Souza Maiara Garcia Blagitz Fernando Nogueira Souza Camila Freitas Batista Daniel Magalhães Lima Alexandre José Alves Marcos Bryan Heinemann Eduardo Milton Ramos Sanchez Hugo Frias Torres Artur Cezar de Carvalho Fernandes Alice Maria Melville Paiva Della Libera |
| author_facet | Carolina Menezes Suassuna de Souza Maiara Garcia Blagitz Fernando Nogueira Souza Camila Freitas Batista Daniel Magalhães Lima Alexandre José Alves Marcos Bryan Heinemann Eduardo Milton Ramos Sanchez Hugo Frias Torres Artur Cezar de Carvalho Fernandes Alice Maria Melville Paiva Della Libera |
| author_sort | Carolina Menezes Suassuna de Souza |
| collection | DOAJ |
| description | ABSTRACT The present study explored the predictive values of milk leukocyte differentials (MLD) as a basis for improving the diagnosis of intramammary infections (IMIs) and subclinical mastitis. Quarter milk samples were collected for bacteriological analysis, quarter somatic cell count (qSCC), and MLD. The MLD were assessed using the cytospin technique, direct microscopic smears, and flow cytometry. The predictive values of each single leukocyte population and useful potential indices that could better reflect immune complexity were also calculated. Changes in the percentage of any leukocyte alone failed to substantially improve the predictive value of qSCC in diagnosing IMIs. Although certain parameters increased the area under the receiver operating characteristic curve (ROC curve) as a result of increased specificity values, a slight reduction in sensitivity was observed. The so-called CD8 complex was a unique parameter which improved both the sensitivity (78.79 %) and the specificity (80.77 %) in IMI diagnosis, resulting in the highest area under the ROC curve (0.87). To diagnose subclinical mastitis, the percentage of macrophages and the sum of the percentage PMNLs and T CD8+ cells divided by the percentage of macrophages showed the highest predictive values (sensitivity = 79.63, specificity = 73.68, and area under the ROC curve = 0.83) in the differentiation of the inflammatory condition status of cows. In conclusion, this study provides further insights into using T CD8+ lymphocytes in diagnosing bovine IMIs, combined with PMNLs and macrophages. The antidromic trend of macrophages vs. PMNLs and T CD8+ lymphocytes due to the increasing qSCCs was crucial to differentiating quarters under both inflammatory and non-inflammatory conditions. |
| first_indexed | 2024-03-13T00:25:08Z |
| format | Article |
| id | doaj.art-6a48d9e16cc9404490a6bcd8162122c6 |
| institution | Directory Open Access Journal |
| issn | 1678-992X |
| language | English |
| last_indexed | 2024-03-13T00:25:08Z |
| publishDate | 2023-07-01 |
| publisher | Universidade de São Paulo |
| record_format | Article |
| series | Scientia Agricola |
| spelling | doaj.art-6a48d9e16cc9404490a6bcd8162122c62023-07-11T07:43:25ZengUniversidade de São PauloScientia Agricola1678-992X2023-07-018010.1590/1678-992x-2022-0086Deeper exploration of inflammatory cell populations in milk to monitor udder health in dairy cowsCarolina Menezes Suassuna de Souzahttps://orcid.org/0000-0001-9682-9961Maiara Garcia Blagitzhttps://orcid.org/0000-0002-4544-7530Fernando Nogueira Souzahttps://orcid.org/0000-0002-5380-0939Camila Freitas Batistahttps://orcid.org/0000-0002-6575-7384Daniel Magalhães Limahttps://orcid.org/0000-0001-8250-4760Alexandre José Alveshttps://orcid.org/0000-0002-6579-8725Marcos Bryan Heinemannhttps://orcid.org/0000-0001-6444-9788Eduardo Milton Ramos Sanchezhttps://orcid.org/0000-0001-8700-5469Hugo Frias Torreshttps://orcid.org/0000-0003-0224-1935Artur Cezar de Carvalho Fernandeshttps://orcid.org/0000-0001-7572-3500Alice Maria Melville Paiva Della Liberahttps://orcid.org/0000-0001-5767-5920ABSTRACT The present study explored the predictive values of milk leukocyte differentials (MLD) as a basis for improving the diagnosis of intramammary infections (IMIs) and subclinical mastitis. Quarter milk samples were collected for bacteriological analysis, quarter somatic cell count (qSCC), and MLD. The MLD were assessed using the cytospin technique, direct microscopic smears, and flow cytometry. The predictive values of each single leukocyte population and useful potential indices that could better reflect immune complexity were also calculated. Changes in the percentage of any leukocyte alone failed to substantially improve the predictive value of qSCC in diagnosing IMIs. Although certain parameters increased the area under the receiver operating characteristic curve (ROC curve) as a result of increased specificity values, a slight reduction in sensitivity was observed. The so-called CD8 complex was a unique parameter which improved both the sensitivity (78.79 %) and the specificity (80.77 %) in IMI diagnosis, resulting in the highest area under the ROC curve (0.87). To diagnose subclinical mastitis, the percentage of macrophages and the sum of the percentage PMNLs and T CD8+ cells divided by the percentage of macrophages showed the highest predictive values (sensitivity = 79.63, specificity = 73.68, and area under the ROC curve = 0.83) in the differentiation of the inflammatory condition status of cows. In conclusion, this study provides further insights into using T CD8+ lymphocytes in diagnosing bovine IMIs, combined with PMNLs and macrophages. The antidromic trend of macrophages vs. PMNLs and T CD8+ lymphocytes due to the increasing qSCCs was crucial to differentiating quarters under both inflammatory and non-inflammatory conditions.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162023000100408&tlng=endifferential cell countsomatic cell countdiagnosismastitisdairy cattle |
| spellingShingle | Carolina Menezes Suassuna de Souza Maiara Garcia Blagitz Fernando Nogueira Souza Camila Freitas Batista Daniel Magalhães Lima Alexandre José Alves Marcos Bryan Heinemann Eduardo Milton Ramos Sanchez Hugo Frias Torres Artur Cezar de Carvalho Fernandes Alice Maria Melville Paiva Della Libera Deeper exploration of inflammatory cell populations in milk to monitor udder health in dairy cows Scientia Agricola differential cell count somatic cell count diagnosis mastitis dairy cattle |
| title | Deeper exploration of inflammatory cell populations in milk to monitor udder health in dairy cows |
| title_full | Deeper exploration of inflammatory cell populations in milk to monitor udder health in dairy cows |
| title_fullStr | Deeper exploration of inflammatory cell populations in milk to monitor udder health in dairy cows |
| title_full_unstemmed | Deeper exploration of inflammatory cell populations in milk to monitor udder health in dairy cows |
| title_short | Deeper exploration of inflammatory cell populations in milk to monitor udder health in dairy cows |
| title_sort | deeper exploration of inflammatory cell populations in milk to monitor udder health in dairy cows |
| topic | differential cell count somatic cell count diagnosis mastitis dairy cattle |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162023000100408&tlng=en |
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