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Cell Differentiation of Bovine Milk Control Samples to Improve Prognosis of Mastitis Cure

To optimise udder health at the herd level, identifying incurable mastitis cases as well as providing an adequate therapy and culling strategy are necessary. Cows with clinical mastitis should be administered antibiotic medication if it is most likely to improve mammary cure. The somatic cell count...

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Autores principales: Bunge, Anne, Dreyer, Sonja, Paduch, Jan-Hendrik, Klocke, Doris, Leimbach, Stefanie, Wente, Nicole, Nitz, Julia, Krömker, Volker
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8868090/
https://www.ncbi.nlm.nih.gov/pubmed/35203861
http://dx.doi.org/10.3390/antibiotics11020259
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author Bunge, Anne
Dreyer, Sonja
Paduch, Jan-Hendrik
Klocke, Doris
Leimbach, Stefanie
Wente, Nicole
Nitz, Julia
Krömker, Volker
author_facet Bunge, Anne
Dreyer, Sonja
Paduch, Jan-Hendrik
Klocke, Doris
Leimbach, Stefanie
Wente, Nicole
Nitz, Julia
Krömker, Volker
author_sort Bunge, Anne
collection PubMed
description To optimise udder health at the herd level, identifying incurable mastitis cases as well as providing an adequate therapy and culling strategy are necessary. Cows with clinical mastitis should be administered antibiotic medication if it is most likely to improve mammary cure. The somatic cell count (SCC) in milk of the monthly implemented Dairy Herd Improvement (DHI) test represents the most important tool to decide whether a cow has a promising mammary cure rate. Differential cell count (DCC) facilitates the specification of the immunological ability of defence, for example by characterising leukocyte subpopulations or cell viability. The aim of this study was to assess the DCC and cell viability in DHI milk samples regarding the cytological (CC) and bacteriological cure (BC) of the udder within a longitudinal study, thereby gaining a predictive evaluation of whether a clinical mastitis benefits from an antibiotic treatment or not. The cows enrolled in this study had an SCC above 200,000 cells/mL in the previous DHI test. Study 1 assessed the CC by reference to the SCC of two consecutive DHI tests and included 1010 milk samples: 28.4% of the mammary glands were classified as cytologically cured and 71.6% as uncured. The final mixed logistic regression model identified the total number of non-vital cells as a significant factor associated with CC. An increasing amount of non-vital cells was related to a lower individual ability for CC. Cows which were in the first or second lactation possessed a higher probability of CC than cows having a lactation number above two. If animals developed a clinical mastitis after flow cytometric investigation, the BC was examined in study 2 by analysing quarter foremilk samples microbiologically. Taking 48 milk samples, 81.3% of the mammary glands were classified as bacteriologically cured and 18.7% as uncured. The percentage of total non-vital cells tended to be lower for cows which were cured, but no significance could be observed. This study revealed that the investigation of the proportion of non-vital cells in DHI milk samples can enhance the prognosis of whether an antibiotic treatment of clinical mastitis might be promising or not. Prospectively, this tool may be integrated in the DHI tests to facilitate the decision between therapy or culling.
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spelling pubmed-88680902022-02-25 Cell Differentiation of Bovine Milk Control Samples to Improve Prognosis of Mastitis Cure Bunge, Anne Dreyer, Sonja Paduch, Jan-Hendrik Klocke, Doris Leimbach, Stefanie Wente, Nicole Nitz, Julia Krömker, Volker Antibiotics (Basel) Article To optimise udder health at the herd level, identifying incurable mastitis cases as well as providing an adequate therapy and culling strategy are necessary. Cows with clinical mastitis should be administered antibiotic medication if it is most likely to improve mammary cure. The somatic cell count (SCC) in milk of the monthly implemented Dairy Herd Improvement (DHI) test represents the most important tool to decide whether a cow has a promising mammary cure rate. Differential cell count (DCC) facilitates the specification of the immunological ability of defence, for example by characterising leukocyte subpopulations or cell viability. The aim of this study was to assess the DCC and cell viability in DHI milk samples regarding the cytological (CC) and bacteriological cure (BC) of the udder within a longitudinal study, thereby gaining a predictive evaluation of whether a clinical mastitis benefits from an antibiotic treatment or not. The cows enrolled in this study had an SCC above 200,000 cells/mL in the previous DHI test. Study 1 assessed the CC by reference to the SCC of two consecutive DHI tests and included 1010 milk samples: 28.4% of the mammary glands were classified as cytologically cured and 71.6% as uncured. The final mixed logistic regression model identified the total number of non-vital cells as a significant factor associated with CC. An increasing amount of non-vital cells was related to a lower individual ability for CC. Cows which were in the first or second lactation possessed a higher probability of CC than cows having a lactation number above two. If animals developed a clinical mastitis after flow cytometric investigation, the BC was examined in study 2 by analysing quarter foremilk samples microbiologically. Taking 48 milk samples, 81.3% of the mammary glands were classified as bacteriologically cured and 18.7% as uncured. The percentage of total non-vital cells tended to be lower for cows which were cured, but no significance could be observed. This study revealed that the investigation of the proportion of non-vital cells in DHI milk samples can enhance the prognosis of whether an antibiotic treatment of clinical mastitis might be promising or not. Prospectively, this tool may be integrated in the DHI tests to facilitate the decision between therapy or culling. MDPI 2022-02-17 /pmc/articles/PMC8868090/ /pubmed/35203861 http://dx.doi.org/10.3390/antibiotics11020259 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Bunge, Anne
Dreyer, Sonja
Paduch, Jan-Hendrik
Klocke, Doris
Leimbach, Stefanie
Wente, Nicole
Nitz, Julia
Krömker, Volker
Cell Differentiation of Bovine Milk Control Samples to Improve Prognosis of Mastitis Cure
title Cell Differentiation of Bovine Milk Control Samples to Improve Prognosis of Mastitis Cure
title_full Cell Differentiation of Bovine Milk Control Samples to Improve Prognosis of Mastitis Cure
title_fullStr Cell Differentiation of Bovine Milk Control Samples to Improve Prognosis of Mastitis Cure
title_full_unstemmed Cell Differentiation of Bovine Milk Control Samples to Improve Prognosis of Mastitis Cure
title_short Cell Differentiation of Bovine Milk Control Samples to Improve Prognosis of Mastitis Cure
title_sort cell differentiation of bovine milk control samples to improve prognosis of mastitis cure
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8868090/
https://www.ncbi.nlm.nih.gov/pubmed/35203861
http://dx.doi.org/10.3390/antibiotics11020259
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