O'Reilly, Emily L. and Viora, Lorenzo and Malcata, Francisco and Pepler, P. Theo and Zadoks, Ruth and Brady, Nicola and Hanh, Han Quang and McLaughlin, Mark and Horvatic, Anita and Gelemanovic, Andrea and Kules, Josipa and Mrljak, Vladimir and Eckersall, P. David (2024) Biomarker and proteome analysis of milk from dairy cows with clinical mastitis: determining the effect of different bacterial pathogens on the response to infection. Research in Veterinary Science, 172: 105240. ISSN 0034-5288
AI Summary:
A novel ELISA technique was employed to evaluate milk cathelicidin CATHL. A classification tree was fitted on six biomarkers to predict Gram-positive bacteria within mastitis severity scores 1 or 2.AI Topics:
Antimicrobial usage (AMU) could be reduced by differentiating the causative bacteria in cases of clinical mastitis (CM) as either Gram-positive or Gram-negative bacteria or identifying whether the case is culture-negative (no growth, NG) mastitis. Immunoassays for biomarker analysis and a Tandem Mass Tag (TMT) proteomic investigation were employed to identify differences between samples of milk from cows with CM caused by different bacteria. A total of 94 milk samples were collected from cows diagnosed with CM across seven farms in Scotland, categorized by severity as mild (score 1), moderate (score 2), or severe (score 3). Bovine haptoglobin (Hp), milk amyloid A (MAA), C-reactive protein (CRP), lactoferrin (LF), α-lactalbumin (LA) and cathelicidin (CATHL) were significantly higher in milk from cows with CM, regardless of culture results, than in milk from healthy cows (all P-values <0.001). Milk cathelicidin (CATHL) was evaluated using a novel ELISA technique that utilises an antibody to a peptide sequence of SSEANLYRLLELD (aa49–61) common to CATHL 1–7 isoforms. A classification tree was fitted on the six biomarkers to predict Gram-positive bacteria within mastitis severity scores 1 or 2, revealing that compared to the rest of the samples, Gram-positive samples were associated with CRP < 9.5 μg/ml and LF ≥ 325 μg/ml and MAA < 16 μg/ml. Sensitivity of the tree model was 64%, the specificity was 91%, and the overall misclassification rate was 18%. The area under the ROC curve for this tree model was 0.836 (95% bootstrap confidence interval: 0.742; 0.917). TMT proteomic analysis revealed little difference between the groups in protein abundance when the three groups (Gram-positive, Gram-negative and no growth) were compared, however when each group was compared against the entirety of the remaining samples, 28 differentially abundant protein were identified including β-lactoglobulin and ribonuclease. Whilst further research is required to draw together and refine a suitable biomarker panel and diagnostic algorithm for differentiating Gram- positive/negative and NG CM, these results have highlighted a potential panel and diagnostic decision tree. Host-derived milk biomarkers offer significant potential to refine and reduce AMU and circumvent the many challenges associated with microbiological culture, both within the lab and on the farm, while providing the added benefit of reducing turnaround time from 14 to 16 h of microbiological culture to just 15 min with a lateral flow device (LFD).
O'Reilly, Emily L.
Author
O'Reilly, Emily L. and Viora, Lorenzo and Malcata, Francisco and Pepler, P. Theo and Zadoks, Ruth and Brady, Nicola and Hanh, Han Quang and McLaughlin, Mark and Horvatic, Anita and Gelemanovic, Andrea and Kules, Josipa and Mrljak, Vladimir and Eckersall, P. David (2024) Biomarker and proteome analysis of milk from dairy cows with clinical mastitis: determining the effect of different bacterial pathogens on the response to infection. Research in Veterinary Science, 172: 105240. ISSN 0034-5288
See full publications listViora, Lorenzo
Author
O'Reilly, Emily L. and Viora, Lorenzo and Malcata, Francisco and Pepler, P. Theo and Zadoks, Ruth and Brady, Nicola and Hanh, Han Quang and McLaughlin, Mark and Horvatic, Anita and Gelemanovic, Andrea and Kules, Josipa and Mrljak, Vladimir and Eckersall, P. David (2024) Biomarker and proteome analysis of milk from dairy cows with clinical mastitis: determining the effect of different bacterial pathogens on the response to infection. Research in Veterinary Science, 172: 105240. ISSN 0034-5288
See full publications listMalcata, Francisco
Author
O'Reilly, Emily L. and Viora, Lorenzo and Malcata, Francisco and Pepler, P. Theo and Zadoks, Ruth and Brady, Nicola and Hanh, Han Quang and McLaughlin, Mark and Horvatic, Anita and Gelemanovic, Andrea and Kules, Josipa and Mrljak, Vladimir and Eckersall, P. David (2024) Biomarker and proteome analysis of milk from dairy cows with clinical mastitis: determining the effect of different bacterial pathogens on the response to infection. Research in Veterinary Science, 172: 105240. ISSN 0034-5288
See full publications listPepler, P. Theo
Author
O'Reilly, Emily L. and Viora, Lorenzo and Malcata, Francisco and Pepler, P. Theo and Zadoks, Ruth and Brady, Nicola and Hanh, Han Quang and McLaughlin, Mark and Horvatic, Anita and Gelemanovic, Andrea and Kules, Josipa and Mrljak, Vladimir and Eckersall, P. David (2024) Biomarker and proteome analysis of milk from dairy cows with clinical mastitis: determining the effect of different bacterial pathogens on the response to infection. Research in Veterinary Science, 172: 105240. ISSN 0034-5288
See full publications listZadoks, Ruth
Author
O'Reilly, Emily L. and Viora, Lorenzo and Malcata, Francisco and Pepler, P. Theo and Zadoks, Ruth and Brady, Nicola and Hanh, Han Quang and McLaughlin, Mark and Horvatic, Anita and Gelemanovic, Andrea and Kules, Josipa and Mrljak, Vladimir and Eckersall, P. David (2024) Biomarker and proteome analysis of milk from dairy cows with clinical mastitis: determining the effect of different bacterial pathogens on the response to infection. Research in Veterinary Science, 172: 105240. ISSN 0034-5288
See full publications listBrady, Nicola
Author
O'Reilly, Emily L. and Viora, Lorenzo and Malcata, Francisco and Pepler, P. Theo and Zadoks, Ruth and Brady, Nicola and Hanh, Han Quang and McLaughlin, Mark and Horvatic, Anita and Gelemanovic, Andrea and Kules, Josipa and Mrljak, Vladimir and Eckersall, P. David (2024) Biomarker and proteome analysis of milk from dairy cows with clinical mastitis: determining the effect of different bacterial pathogens on the response to infection. Research in Veterinary Science, 172: 105240. ISSN 0034-5288
See full publications listHanh, Han Quang
Author
O'Reilly, Emily L. and Viora, Lorenzo and Malcata, Francisco and Pepler, P. Theo and Zadoks, Ruth and Brady, Nicola and Hanh, Han Quang and McLaughlin, Mark and Horvatic, Anita and Gelemanovic, Andrea and Kules, Josipa and Mrljak, Vladimir and Eckersall, P. David (2024) Biomarker and proteome analysis of milk from dairy cows with clinical mastitis: determining the effect of different bacterial pathogens on the response to infection. Research in Veterinary Science, 172: 105240. ISSN 0034-5288
See full publications listMcLaughlin, Mark
Author
O'Reilly, Emily L. and Viora, Lorenzo and Malcata, Francisco and Pepler, P. Theo and Zadoks, Ruth and Brady, Nicola and Hanh, Han Quang and McLaughlin, Mark and Horvatic, Anita and Gelemanovic, Andrea and Kules, Josipa and Mrljak, Vladimir and Eckersall, P. David (2024) Biomarker and proteome analysis of milk from dairy cows with clinical mastitis: determining the effect of different bacterial pathogens on the response to infection. Research in Veterinary Science, 172: 105240. ISSN 0034-5288
See full publications listHorvatic, Anita
Author
O'Reilly, Emily L. and Viora, Lorenzo and Malcata, Francisco and Pepler, P. Theo and Zadoks, Ruth and Brady, Nicola and Hanh, Han Quang and McLaughlin, Mark and Horvatic, Anita and Gelemanovic, Andrea and Kules, Josipa and Mrljak, Vladimir and Eckersall, P. David (2024) Biomarker and proteome analysis of milk from dairy cows with clinical mastitis: determining the effect of different bacterial pathogens on the response to infection. Research in Veterinary Science, 172: 105240. ISSN 0034-5288
See full publications listGelemanovic, Andrea
Author
O'Reilly, Emily L. and Viora, Lorenzo and Malcata, Francisco and Pepler, P. Theo and Zadoks, Ruth and Brady, Nicola and Hanh, Han Quang and McLaughlin, Mark and Horvatic, Anita and Gelemanovic, Andrea and Kules, Josipa and Mrljak, Vladimir and Eckersall, P. David (2024) Biomarker and proteome analysis of milk from dairy cows with clinical mastitis: determining the effect of different bacterial pathogens on the response to infection. Research in Veterinary Science, 172: 105240. ISSN 0034-5288
See full publications listKules, Josipa
Author
O'Reilly, Emily L. and Viora, Lorenzo and Malcata, Francisco and Pepler, P. Theo and Zadoks, Ruth and Brady, Nicola and Hanh, Han Quang and McLaughlin, Mark and Horvatic, Anita and Gelemanovic, Andrea and Kules, Josipa and Mrljak, Vladimir and Eckersall, P. David (2024) Biomarker and proteome analysis of milk from dairy cows with clinical mastitis: determining the effect of different bacterial pathogens on the response to infection. Research in Veterinary Science, 172: 105240. ISSN 0034-5288
See full publications listMrljak, Vladimir
Author
O'Reilly, Emily L. and Viora, Lorenzo and Malcata, Francisco and Pepler, P. Theo and Zadoks, Ruth and Brady, Nicola and Hanh, Han Quang and McLaughlin, Mark and Horvatic, Anita and Gelemanovic, Andrea and Kules, Josipa and Mrljak, Vladimir and Eckersall, P. David (2024) Biomarker and proteome analysis of milk from dairy cows with clinical mastitis: determining the effect of different bacterial pathogens on the response to infection. Research in Veterinary Science, 172: 105240. ISSN 0034-5288
See full publications listEckersall, P. David
Author
O'Reilly, Emily L. and Viora, Lorenzo and Malcata, Francisco and Pepler, P. Theo and Zadoks, Ruth and Brady, Nicola and Hanh, Han Quang and McLaughlin, Mark and Horvatic, Anita and Gelemanovic, Andrea and Kules, Josipa and Mrljak, Vladimir and Eckersall, P. David (2024) Biomarker and proteome analysis of milk from dairy cows with clinical mastitis: determining the effect of different bacterial pathogens on the response to infection. Research in Veterinary Science, 172: 105240. ISSN 0034-5288
See full publications listAvailable under License Creative Commons Attribution.
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