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O'Reilly EL, Viora L, Malcata F, Pepler PT, Zadoks R, Brady N, Hanh HQ, McLaughlin M, Horvatic A, Gelemanovic A, Kules J, Mrljak V, Eckersall PD. Biomarker and proteome analysis of milk from dairy cows with clinical mastitis: Determining the effect of different bacterial pathogens on the response to infection. Res Vet Sci 2024; 172:105240. [PMID: 38608347 DOI: 10.1016/j.rvsc.2024.105240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Revised: 03/13/2024] [Accepted: 03/23/2024] [Indexed: 04/14/2024]
Abstract
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).
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Affiliation(s)
- Emily L O'Reilly
- School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Bearsden Rd, Glasgow G61 1QH, United Kingdom; Deanery of Biomedical Sciences, Edinburgh Medical School, College of Medicine and Veterinary Medicine, University of Edinburgh, 1 George Square, Edinburgh EH8 9LD, United Kingdom. Emily.O'
| | - Lorenzo Viora
- School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Bearsden Rd, Glasgow G61 1QH, United Kingdom.
| | - Francisco Malcata
- School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Bearsden Rd, Glasgow G61 1QH, United Kingdom; School of Veterinary Medicine, Oniris, Nantes, France.
| | - P Theo Pepler
- School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Bearsden Rd, Glasgow G61 1QH, United Kingdom.
| | - Ruth Zadoks
- School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Bearsden Rd, Glasgow G61 1QH, United Kingdom; School of Veterinary Science, University of Sydney, Sydney, Australia.
| | - Nicola Brady
- School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Bearsden Rd, Glasgow G61 1QH, United Kingdom.
| | - Han Quang Hanh
- School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Bearsden Rd, Glasgow G61 1QH, United Kingdom; Faculty of Animal Science, Vietnam National University of Agriculture, Trau Quy, Gia Lam, Hanoi, Viet Nam.
| | - Mark McLaughlin
- School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Bearsden Rd, Glasgow G61 1QH, United Kingdom.
| | - Anita Horvatic
- Faculty of Food Technology and Biotechnology, University of Zagreb, Pierottijeva 6, Zagreb, Croatia; Faculty of Veterinary Medicine, University of Zagreb, Heinzelova 55, 10 000 Zagreb, Croatia.
| | - Andrea Gelemanovic
- Mediterranean Institute for Life Sciences (MedILS), 21000 Split, Croatia.
| | - Josipa Kules
- Faculty of Veterinary Medicine, University of Zagreb, Heinzelova 55, 10 000 Zagreb, Croatia.
| | - Vladimir Mrljak
- Faculty of Veterinary Medicine, University of Zagreb, Heinzelova 55, 10 000 Zagreb, Croatia.
| | - P David Eckersall
- School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Bearsden Rd, Glasgow G61 1QH, United Kingdom; Faculty of Veterinary Medicine, University of Zagreb, Heinzelova 55, 10 000 Zagreb, Croatia.
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Curone G, Filipe J, Inglesi A, Bronzo V, Pollera C, Comazzi S, Draghi S, Piccinini R, Ferlazzo G, Quattrone A, Vigo D, Amadori M, Riva F. Different Immune Control of Gram-Positive and Gram-Negative Mammary Infections in Dairy Cows. Vet Sci 2024; 11:166. [PMID: 38668433 PMCID: PMC11054201 DOI: 10.3390/vetsci11040166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 04/03/2024] [Accepted: 04/03/2024] [Indexed: 04/29/2024] Open
Abstract
In the dairy industry, bovine mastitis represents a major concern due to substantial production losses and costs related to therapies and early culling. The mechanisms of susceptibility and effective response to intra-mammary infections are still poorly understood. Therefore, we investigated innate immunity in acellular bovine skim milk through cytofluorimetric analyses of bacterial killing activity against both Gram-positive and Gram-negative pathogens. Freshly cultured E. coli and S. aureus strains were incubated with colostrum and milk samples at different lactation time points from two groups of cows, purportedly representing mastitis-resistant and mastitis-susceptible breeds; bacterial cells were analyzed for vitality by flow cytometry following incorporation of vital dyes. N-acetyl-β-D-glucosaminidase (NAGase) activity was also investigated in milk and colostrum samples. Our findings revealed that colostrum and milk bacterial killing activity was greater against S. aureus compared to E. coli., with this activity correlated with milk NAGase levels. Furthermore, both killing of S. aureus and NAGase activity were negatively correlated to the elapsed time of lactation. Interestingly, samples from the allegedly mastitis-resistant breed displayed higher bacterial killing and NAGase activities. Our study suggests that diverse control mechanisms are exerted against Gram-positive and Gram-negative pathogens in the mammary glands of cows, probably beyond those already described in the literature.
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Affiliation(s)
- Giulio Curone
- Dipartimento di Medicina Veterinaria e Scienze Animali, University of Milan, 26900 Lodi, Italy; (G.C.); (A.I.); (V.B.); (C.P.); (S.C.); (S.D.); (R.P.); (A.Q.); (D.V.)
| | - Joel Filipe
- Dipartimento di Medicina Veterinaria e Scienze Animali, University of Milan, 26900 Lodi, Italy; (G.C.); (A.I.); (V.B.); (C.P.); (S.C.); (S.D.); (R.P.); (A.Q.); (D.V.)
| | - Alessia Inglesi
- Dipartimento di Medicina Veterinaria e Scienze Animali, University of Milan, 26900 Lodi, Italy; (G.C.); (A.I.); (V.B.); (C.P.); (S.C.); (S.D.); (R.P.); (A.Q.); (D.V.)
| | - Valerio Bronzo
- Dipartimento di Medicina Veterinaria e Scienze Animali, University of Milan, 26900 Lodi, Italy; (G.C.); (A.I.); (V.B.); (C.P.); (S.C.); (S.D.); (R.P.); (A.Q.); (D.V.)
- Laboratorio di Malattie Infettive Degli Animali—MiLab, University of Milan, 26900 Lodi, Italy
| | - Claudia Pollera
- Dipartimento di Medicina Veterinaria e Scienze Animali, University of Milan, 26900 Lodi, Italy; (G.C.); (A.I.); (V.B.); (C.P.); (S.C.); (S.D.); (R.P.); (A.Q.); (D.V.)
| | - Stefano Comazzi
- Dipartimento di Medicina Veterinaria e Scienze Animali, University of Milan, 26900 Lodi, Italy; (G.C.); (A.I.); (V.B.); (C.P.); (S.C.); (S.D.); (R.P.); (A.Q.); (D.V.)
| | - Susanna Draghi
- Dipartimento di Medicina Veterinaria e Scienze Animali, University of Milan, 26900 Lodi, Italy; (G.C.); (A.I.); (V.B.); (C.P.); (S.C.); (S.D.); (R.P.); (A.Q.); (D.V.)
| | - Renata Piccinini
- Dipartimento di Medicina Veterinaria e Scienze Animali, University of Milan, 26900 Lodi, Italy; (G.C.); (A.I.); (V.B.); (C.P.); (S.C.); (S.D.); (R.P.); (A.Q.); (D.V.)
| | - Gianluca Ferlazzo
- Pellegrina Extention Service, Veronesi Holding, 37142 Verona, Italy;
| | - Alda Quattrone
- Dipartimento di Medicina Veterinaria e Scienze Animali, University of Milan, 26900 Lodi, Italy; (G.C.); (A.I.); (V.B.); (C.P.); (S.C.); (S.D.); (R.P.); (A.Q.); (D.V.)
| | - Daniele Vigo
- Dipartimento di Medicina Veterinaria e Scienze Animali, University of Milan, 26900 Lodi, Italy; (G.C.); (A.I.); (V.B.); (C.P.); (S.C.); (S.D.); (R.P.); (A.Q.); (D.V.)
| | - Massimo Amadori
- Rete Nazionale di Immunologia Veterinaria, 25125 Brescia, Italy;
| | - Federica Riva
- Dipartimento di Medicina Veterinaria e Scienze Animali, University of Milan, 26900 Lodi, Italy; (G.C.); (A.I.); (V.B.); (C.P.); (S.C.); (S.D.); (R.P.); (A.Q.); (D.V.)
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Satheesan L, Kittur PM, Alhussien MN, Lal GS, Kamboj A, Dang AK. Reliability of udder infrared thermography as a non-invasive technology for early detection of sub-clinical mastitis in Sahiwal (Bos indicus) cows under semi-intensive production system. J Therm Biol 2024; 121:103838. [PMID: 38554568 DOI: 10.1016/j.jtherbio.2024.103838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 01/06/2024] [Accepted: 02/17/2024] [Indexed: 04/01/2024]
Abstract
The present study focused on Sahiwal cows, a prominent milch breed in tropical India, to correlate udder temperature with physiological markers of stress and inflammation during subclinical mastitis (SCM). The primary goal was to assess the potential of udder infrared thermography for the early detection of SCM under the semi-intensive production. Cows were categorized based on milk somatic cell counts (SCC), with healthy (H) cows having SCC <2 × 105 cells/mL and no history of mastitis, and cows with subclinical mastitis (SCM) and initial stages of clinical mastitis (CM) having quarter milk SCC of 2-5 × 105 and >5 × 105 cells/mL, respectively. Firstly, udder thermograms were analysed for udder skin surface temperature (USST), teat skin surface temperature (TSST), and teat apex temperature (TAT) using Fluke software to determine the optimal site for temperature measurement during intramammary infection. Secondly, milk samples were collected for automatic estimation of compositional changes, electrical conductivity, and pH. Thirdly, milk whey was separated for quantifying stress and inflammatory indicators, including cortisol, prolactin, and acute-phase proteins (APPs): milk amyloid A and milk haptoglobin using bovine-specific ELISA kits. Significant increases (p < 0.01) in USST, TSST, TAT, cortisol, and APPs were observed in SCM and CM compared to healthy cows, while prolactin levels decreased (p < 0.01). The correlation matrix revealed strong positive correlations of SCC with USST (r = 0.84, p < 0.01). In ROC analysis, USST demonstrated cut-off values of 37.74 and 39.58 °C, with accuracy (p < 0.05) of 98% for SCM and 95% for CM, surpassing both TAT and TSST. Therefore, the combination of these non-invasive methods increases the reliability and accuracy of infrared thermography for early detection of SCM, providing valuable insights for the development of a protocol for routine screening and udder health monitoring in indigenous dairy cows.
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Affiliation(s)
- Lija Satheesan
- Lactation and Immuno-Physiology Laboratory, Animal Physiology Division, Indian Council of Agricultural Research (ICAR)-National Dairy Research Institute, Karnal, Haryana, India
| | - Priyanka M Kittur
- Lactation and Immuno-Physiology Laboratory, Animal Physiology Division, Indian Council of Agricultural Research (ICAR)-National Dairy Research Institute, Karnal, Haryana, India
| | - Mohanned Naif Alhussien
- Reproductive Biotechnology, School of Life Sciences, Technical University of Munich, Freising, Germany
| | - Gayathri S Lal
- Livestock Production Management Division, Indian Council of Agricultural Research (ICAR)-National Dairy Research Institute, Karnal, Haryana, India
| | - Aarti Kamboj
- Lactation and Immuno-Physiology Laboratory, Animal Physiology Division, Indian Council of Agricultural Research (ICAR)-National Dairy Research Institute, Karnal, Haryana, India
| | - Ajay Kumar Dang
- Lactation and Immuno-Physiology Laboratory, Animal Physiology Division, Indian Council of Agricultural Research (ICAR)-National Dairy Research Institute, Karnal, Haryana, India.
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Hendriks SJ, Santillan-Urquiza E, Valldecabres A, Hancock AS, Dalton L, Boyle L, O'Brien B. Short communication: Temporal profiles of colostrum and milk haptoglobin and substance P in early lactation multiparous Holstein cows. Animal 2024; 18:101095. [PMID: 38367311 DOI: 10.1016/j.animal.2024.101095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 01/17/2024] [Accepted: 01/23/2024] [Indexed: 02/19/2024] Open
Abstract
Milk markers have the potential to aid in the detection of cow disease in early lactation if the automation of milk analysis becomes commonplace. Characterising temporal profiles of milk markers in dairy cows will improve the understanding of basal concentrations in clinically healthy cows. The objective of this observational study was to characterise the variation and temporal profiles of colostrum and milk haptoglobin (Hp) and substance P concentrations within 21 days postcalving in clinically healthy multiparous Holstein dairy cows. Ninety Holstein dairy cows from a commercial dairy herd were included. Milk samples were collected on the day of calving (day 0), and on days 1 to 4, 7, 14, and 21 postcalving and concentrations of Hp and substance P in colostrum (days 0 to 3) and milk (days 4, 7, 14, and 21) were determined using Enzyme Linked Immunosorbent assay. Haptoglobin and substance P concentrations were, on average (raw means ± SD), 0.40 ± 0.26 µg/ml and 56.2 ± 38.7 pg/ml in colostrum, respectively, and 0.23 ± 0.23 µg/ml and 37.1 ± 27.8 pg/ml in milk, respectively. Haptoglobin and substance P were elevated and greatest 1 day postcalving (least squares mean ± SE of the mean; 0.53 ± 0.05 µg/ml and 46.5 ± 3.64 pg/ml, respectively) and substance P varied widely within 21 days postcalving. The presence of substance P in dairy cow colostrum was not documented previously. Elevated concentrations of Hp and substance P immediately postcalving may be due to physiological roles these inflammatory markers have in the dairy cow or neonate or may simply represent an accumulation in colostrum before the first milk is removed.
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Affiliation(s)
- S J Hendriks
- Teagasc Animal and Grassland Research and Innovation Centre, Moorepark, Co. Cork, Ireland.
| | - E Santillan-Urquiza
- Teagasc Animal and Grassland Research and Innovation Centre, Moorepark, Co. Cork, Ireland
| | - A Valldecabres
- Teagasc Animal and Grassland Research and Innovation Centre, Moorepark, Co. Cork, Ireland
| | - A S Hancock
- Zoetis, Cherrywood Business Park, Loughlinstown, Co. Dublin, Ireland
| | - L Dalton
- Zoetis, Cherrywood Business Park, Loughlinstown, Co. Dublin, Ireland
| | - L Boyle
- Teagasc Animal and Grassland Research and Innovation Centre, Moorepark, Co. Cork, Ireland
| | - B O'Brien
- Teagasc Animal and Grassland Research and Innovation Centre, Moorepark, Co. Cork, Ireland
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Tommasoni C, Fiore E, Lisuzzo A, Gianesella M. Mastitis in Dairy Cattle: On-Farm Diagnostics and Future Perspectives. Animals (Basel) 2023; 13:2538. [PMID: 37570346 PMCID: PMC10417731 DOI: 10.3390/ani13152538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 08/03/2023] [Accepted: 08/04/2023] [Indexed: 08/13/2023] Open
Abstract
Mastitis is one of the most important diseases in dairy cattle farms, and it can affect the health status of the udder and the quantity and quality of milk yielded. The correct management of mastitis is based both on preventive and treatment action. With the increasing concern for antimicrobial resistance, it is strongly recommended to treat only the mammary quarters presenting intramammary infection. For this reason, a timely and accurate diagnosis is fundamental. The possibility to detect and characterize mastitis directly on farm would be very useful to choose the correct management protocol. Some on-field diagnostic tools are already routinely applied to detect mastitis, such as the California Mastitis Test and on-farm culture. Other instruments are emerging to perform a timely diagnosis and to characterize mastitis, such as Infra-Red Thermography, mammary ultrasound evaluation and blood gas analysis, even if their application still needs to be improved. The main purpose of this article is to present an overview of the methods currently used to control, detect, and characterize mastitis in dairy cows, in order to perform a timely diagnosis and to choose the most appropriate management protocol, with a specific focus on on-farm diagnostic tools.
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Affiliation(s)
- Chiara Tommasoni
- Department of Animal Medicine, Production and Health, University of Padua, Viale dell’Università 16, 35020 Legnaro, Italy; (E.F.); (A.L.); (M.G.)
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Tiantong A, Eardmusic S, Arunvipas P, Lee JW, Inyawilert W. The influence of subclinical mastitis on the protein composition and protease activities of raw milk from lactating Thai-crossbred dairy cows. Vet World 2023; 16:1363-1368. [PMID: 37577188 PMCID: PMC10421544 DOI: 10.14202/vetworld.2023.1363-1368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 05/24/2023] [Indexed: 08/15/2023] Open
Abstract
Background and Aim Mastitis in dairy cattle is associated with a high rate of morbidity and death, which has major implications for milk production and quality. This study aimed to investigate the protein component and the activity of matrix metalloproteinase-2 (MMP-2) and -9 (MMP-9) in raw milk samples with different testing scores determined using the California mastitis test (CMT). Materials and Methods Thirty cows were employed in the study, and milk from each quarter was tested for subclinical mastitis (SCM). According to the results of CMT, raw milk samples were classified into five categories: Healthy (score 0), trace (score T), weakly positive (score 1), distinctly positive (score 2), and strongly positive (score 3) for somatic cell count (SCC). The total milk protein was analyzed using the Bio-Rad protein assay, and the milk protein composition was determined using the sodium dodecyl sulfate-polyacrylamide gel electrophoresis technique. In addition, gelatin zymography was used to evaluate changes in proteolytic abilities. Results Milk samples with CMT scores of 1 and 3 had the highest total milk protein levels (32.25 ± 12.60 g/L and 32.50 ± 7.67 g/L, respectively), while the samples from healthy cows (CMT score 0) were only 6.75 ± 1.64 g/L. Globulin and lactoferrin were significantly increased in samples with a CMT score of 3 compared with those with other CMT scores. The bovine serum albumin level in samples with a CMT score of 2 was significantly (p < 0.05) higher than those with other CMT scores. No significant differences in casein abundance were found among samples with different CMT scores. Results from analysis of proteolytic activities demonstrated that the level of MMP-9 in samples with a CMT score of 3 was significantly (p < 0.05) higher than those with other CMT scores. Conclusion The protein content and gelatinolytic activity of milk were drastically altered by the number of SCC, mainly due to SCM.
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Affiliation(s)
- Attapol Tiantong
- Faculty of Animal Sciences and Agricultural Technology, Silpakorn University, Phetchaburi IT Campus, Cha-Am, Phetchaburi, 76120, Thailand
| | - Sirichai Eardmusic
- Faculty of Animal Sciences and Agricultural Technology, Silpakorn University, Phetchaburi IT Campus, Cha-Am, Phetchaburi, 76120, Thailand
| | - Pipat Arunvipas
- Department of Large Animal and Wildlife Clinical Sciences, Faculty of Veterinary Medicine, Kasetsart University, Kamphaeng Saen Campus, Kamphaeng Saen, Nakhon Pathom, 73140, Thailand
| | - Jai-Wei Lee
- Department of Tropical Agriculture and International Cooperation, National Pingtung University of Science and Technology, Pingtung, 91201, Taiwan
| | - Wilasinee Inyawilert
- Department of Agricultural Science, Faculty of Agriculture Natural Resources and Environment, Naresuan University, Phitsanulok, 65000, Thailand
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Winther AR, da Silva Duarte V, Porcellato D. Metataxonomic analysis and host proteome response in dairy cows with high and low somatic cell count: a quarter level investigation. Vet Res 2023; 54:32. [PMID: 37016420 PMCID: PMC10074679 DOI: 10.1186/s13567-023-01162-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 03/01/2023] [Indexed: 04/06/2023] Open
Abstract
Host response to invasive microbes in the bovine udder has an important role on the animal health and is essential to the dairy industry to ensure production of high-quality milk and reduce the mastitis incidence. To better understand the biology behind these host-microbiome interactions, we investigated the somatic cell proteomes at quarter level for four cows (collected before and after milking) using a shotgun proteomics approach. Simultaneously, we identified the quarter microbiota by amplicon sequencing to detect presence of mastitis pathogens or other commensal taxa. In total, 32 quarter milk samples were analyzed divided in two groups depending on the somatic cell count (SCC). The high SCC group (>100,000 cell/mL) included 10 samples and significant different proteome profiles were detected. Differential abundance analysis uncovers a specific expression pattern in high SCC samples revealing pathways involved in immune responses such as inflammation, activation of the complement system, migration of immune cells, and tight junctions. Interestingly, different proteome profiles were also identified in quarter samples containing one of the two mastitis pathogens, Staphylococcus aureus and Streptococcus uberis, indicating a different response of the host depending on the pathogen. Weighted correlation network analysis identified three modules of co-expressed proteins which were correlated with the SCC in the quarters. These modules contained proteins assigned to different aspects of the immune response, but also amino sugar and nucleotide sugar metabolism, and biosynthesis of amino acids. The results of this study provide deeper insights on how the proteome expression changes at quarter level in naturally infected cows and pinpoint potential interactions and important biological functions during host-microbe interaction.
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Affiliation(s)
- Anja Ruud Winther
- Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, NMBU, Ås, Norway.
| | - Vinícius da Silva Duarte
- Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, NMBU, Ås, Norway
| | - Davide Porcellato
- Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, NMBU, Ås, Norway
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Guadalupe Armas GDC, Martel-Benítez CJ, Alayón-Afonso R, Clavo B, Bordes Benítez A, González-Martín JM, Torres-Mata LB, Martín-Barrasa JL. In vitro antimicrobial activity of ozonated sunflower oil in milk against Escherichia coli: comparative study in cow, goat and sheep. JOURNAL OF APPLIED ANIMAL RESEARCH 2022. [DOI: 10.1080/09712119.2022.2147186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Gloria del Carmen Guadalupe Armas
- Research Unit Hospital Universitario de Gran Canaria, Dr. Negrín, Fundación Instituto de Investigación Sanitaria de Canarias (FIISC), Las Palmas de Gran Canaria, Spain
| | - Carlos José Martel-Benítez
- Research Unit Hospital Universitario de Gran Canaria, Dr. Negrín, Fundación Instituto de Investigación Sanitaria de Canarias (FIISC), Las Palmas de Gran Canaria, Spain
- Group of Fish Health and Infectious Diseases, University Institute of Animal Health and Food Safety (IUSA), University of Las Palmas de Gran Canaria, Arucas, Spain
| | - Rafael Alayón-Afonso
- Research Unit Hospital Universitario de Gran Canaria, Dr. Negrín, Fundación Instituto de Investigación Sanitaria de Canarias (FIISC), Las Palmas de Gran Canaria, Spain
- Group of Fish Health and Infectious Diseases, University Institute of Animal Health and Food Safety (IUSA), University of Las Palmas de Gran Canaria, Arucas, Spain
| | - Bernardino Clavo
- Research Unit Hospital Universitario de Gran Canaria, Dr. Negrín, Fundación Instituto de Investigación Sanitaria de Canarias (FIISC), Las Palmas de Gran Canaria, Spain
- Fundación Canaria del Instituto de Investigación Sanitaria de Canarias (FIISC), Las Palmas de Gran Canaria, Spain
- BioPharm Group, Instituto Universitario de Investigaciones Biomédicas y Sanitarias (IUIBS), Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
- Instituto Universitario de Enfermedades Tropicales y Salud Pública de Canarias, Universidad de La Laguna, La Laguna, Spain
- CIBER de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
| | - Ana Bordes Benítez
- Microbiology Department, Hospital Universitario de Gran Canaria, Dr. Negrín, Las Palmas de Gran Canaria, Spain
| | - Jesús María González-Martín
- Research Unit Hospital Universitario de Gran Canaria, Dr. Negrín, Fundación Instituto de Investigación Sanitaria de Canarias (FIISC), Las Palmas de Gran Canaria, Spain
- Fundación Canaria del Instituto de Investigación Sanitaria de Canarias (FIISC), Las Palmas de Gran Canaria, Spain
- Instituto Universitario de Enfermedades Tropicales y Salud Pública de Canarias, Universidad de La Laguna, La Laguna, Spain
- CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain
| | - Laura B Torres-Mata
- Research Unit Hospital Universitario de Gran Canaria, Dr. Negrín, Fundación Instituto de Investigación Sanitaria de Canarias (FIISC), Las Palmas de Gran Canaria, Spain
- Fundación Canaria del Instituto de Investigación Sanitaria de Canarias (FIISC), Las Palmas de Gran Canaria, Spain
- BioPharm Group, Instituto Universitario de Investigaciones Biomédicas y Sanitarias (IUIBS), Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
- Chemical Engineering & Materials Department, Universidad Complutense, Madrid, Spain
| | - José Luis Martín-Barrasa
- Research Unit Hospital Universitario de Gran Canaria, Dr. Negrín, Fundación Instituto de Investigación Sanitaria de Canarias (FIISC), Las Palmas de Gran Canaria, Spain
- Group of Fish Health and Infectious Diseases, University Institute of Animal Health and Food Safety (IUSA), University of Las Palmas de Gran Canaria, Arucas, Spain
- Fundación Canaria del Instituto de Investigación Sanitaria de Canarias (FIISC), Las Palmas de Gran Canaria, Spain
- CIBER de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
- Animal Facility, Research Unit, Hospital Universitario de Gran Canaria, Dr. Negrín, Fundación Instituto de Investigación Sanitaria de Canarias (FIISC), Las Palmas de Gran Canaria, Spain
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Cuccato M, Divari S, Sacchi P, Girolami F, Cannizzo FT. MALDI-TOF mass spectrometry profiling of bovine skim milk for subclinical mastitis detection. Front Vet Sci 2022; 9:1009928. [DOI: 10.3389/fvets.2022.1009928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 11/10/2022] [Indexed: 12/05/2022] Open
Abstract
IntroductionMastitis is one of most impacting health issues in bovine dairy farming that reduces milk yield and quality, leading to important economic losses. Subclinical forms of the disease are routinely monitored through the measurement of somatic cell count (SCC) and microbiological tests. However, their identification can be tricky, reducing the possibilities of early treatments. In this study, a MALDI-TOF mass spectrometry approach was applied to milk samples collected from cows classified according to the SCC, to identify differences in polypeptide/protein profiles.Materials and methodsTwenty-nine raw milk samples with SCC >200,000 cell/ml (group H) and 91 samples with SCC lower than 200,000 (group L) were randomly collected from 12 dairy farms. Spectral profiles from skim milk were acquired in the positive linear mode within the 4,000–20,000 m/z mass acquisition range.Results and discussionBased on signal intensity, a total of 24 peaks emerged as significant different between the two groups. The most discriminant signals (4,218.2 and 4,342.98 m/z) presented a ROC curve with AUC values higher than 0.8. Classification algorithms (i.e., quick classifier, genetic algorithm, and supervised neural network) were applied for generating models able to classify new spectra (i.e., samples) into the two classes. Our results support the MALDI-TOF mass spectrometry profiling as a tool to detect mastitic milk samples and to potentially discover biomarkers of the disease. Thanks to its rapidity and low-cost, such method could be associated with the SCC measurement for the early diagnosis of subclinical mastitis.
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Kurban D, Roy JP, Kabera F, Fréchette A, Um MM, Albaaj A, Rowe S, Godden S, Adkins PRF, Middleton JR, Gauthier ML, Keefe GP, DeVries TJ, Kelton DF, Moroni P, Veiga dos Santos M, Barkema HW, Dufour S. Diagnosing Intramammary Infection: Meta-Analysis and Mapping Review on Frequency and Udder Health Relevance of Microorganism Species Isolated from Bovine Milk Samples. Animals (Basel) 2022; 12:ani12233288. [PMID: 36496808 PMCID: PMC9738497 DOI: 10.3390/ani12233288] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 11/18/2022] [Accepted: 11/21/2022] [Indexed: 11/29/2022] Open
Abstract
Matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry provides accurate species-level identification of many, microorganisms retrieved from bovine milk samples. However, not all those microorganisms are pathogenic. Our study aimed to: (1) determine the species-specific prevalence of microorganisms identified in bovine milk of apparently healthy lactating quarters vs. quarters with clinical mastitis (CM); and (2) map current information and knowledge gaps on udder health relevance of microorganisms retrieved from bovine milk samples. A mixed study design (meta-analysis and mapping review) was chosen. We gathered several large Canadian, US and Brazilian data sets of MALDI-TOF results for organisms cultured from quarter milk samples. For meta-analysis, two datasets (apparently healthy quarters vs. CM samples) were organized. A series of meta-analyses was conducted to determine microorganisms' prevalence. Then, each species reported was searched through PubMed to investigate whether inflammation (increased somatic cell count (SCC) or signs of CM) was associated with microorganism's recovery from milk. A total of 294 different species of microorganisms recovered from milk samples were identified. Among 50,429 quarter-milk samples from apparently healthy quarters, the 5 most frequent species were Staphylococcus chromogenes (6.7%, 95% CI 4.5-9.2%), Aerococcus viridans (1.6%, 95% CI 0.4-3.5%), Staphylococcus aureus (1.5%, 95% CI 0.5-2.8%), Staphylococcus haemolyticus (0.9%, 95% CI 0.4-1.5%), and Staphylococcus epidermidis (0.7%, 95% CI 0.2-1.6%). Among the 43,924 quarter-milk CM samples, the 5 most frequent species were Escherichia coli (11%, 95% CI 8.1-14.3%), Streptococcus uberis (8.5%, 95% CI 5.3-12.2%), Streptococcus dysgalactiae (7.8%, 95% CI 4.9-11.5%), Staphylococcus aureus (7.8%, 95% CI 4.4-11.9%), and Klebsiella pneumoniae (5.6%, 95% CI 3.4-8.2%). When conducting the PubMed literature search, there were 206 species identified by MALDI-TOF for which we were not able to find any information regarding their association with CM or SCC. Some of them, however, were frequently isolated in our multi-country dataset from the milk of quarters with CM (e.g., Citrobacter koseri, Enterococcus saccharolyticus, Streptococcus gallolyticus). Our study provides guidance to veterinarians for interpretation of milk bacteriology results obtained using MALDI-TOF and identifies knowledge gaps for future research.
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Affiliation(s)
- Daryna Kurban
- Faculté de Médecine Vétérinaire, Université de Montréal, Saint-Hyacinthe, QC J2S 2M2, Canada
- Mastitis Network, Saint-Hyacinthe, QC J2S 2M2, Canada
- Research Group Op+Lait, Saint-Hyacinthe, QC J2S 2M2, Canada
- Correspondence: (D.K.); (S.D.)
| | - Jean-Philippe Roy
- Faculté de Médecine Vétérinaire, Université de Montréal, Saint-Hyacinthe, QC J2S 2M2, Canada
- Mastitis Network, Saint-Hyacinthe, QC J2S 2M2, Canada
- Research Group Op+Lait, Saint-Hyacinthe, QC J2S 2M2, Canada
| | - Fidèle Kabera
- Faculté de Médecine Vétérinaire, Université de Montréal, Saint-Hyacinthe, QC J2S 2M2, Canada
- Mastitis Network, Saint-Hyacinthe, QC J2S 2M2, Canada
- Research Group Op+Lait, Saint-Hyacinthe, QC J2S 2M2, Canada
| | - Annie Fréchette
- Faculté de Médecine Vétérinaire, Université de Montréal, Saint-Hyacinthe, QC J2S 2M2, Canada
- Mastitis Network, Saint-Hyacinthe, QC J2S 2M2, Canada
- Research Group Op+Lait, Saint-Hyacinthe, QC J2S 2M2, Canada
| | - Maryse Michèle Um
- Faculté de Médecine Vétérinaire, Université de Montréal, Saint-Hyacinthe, QC J2S 2M2, Canada
- Mastitis Network, Saint-Hyacinthe, QC J2S 2M2, Canada
- Research Group Op+Lait, Saint-Hyacinthe, QC J2S 2M2, Canada
| | - Ahmad Albaaj
- Faculté de Médecine Vétérinaire, Université de Montréal, Saint-Hyacinthe, QC J2S 2M2, Canada
- Mastitis Network, Saint-Hyacinthe, QC J2S 2M2, Canada
- Research Group Op+Lait, Saint-Hyacinthe, QC J2S 2M2, Canada
| | - Sam Rowe
- Faculty of Science, The University of Sydney, Camden, NSW 2570, Australia
| | - Sandra Godden
- Department of Veterinary Population Medicine, University of Minnesota, St. Paul, MN 55108, USA
| | - Pamela R. F. Adkins
- Department of Veterinary Medicine and Surgery, University of Missouri, Columbia, MO 65211, USA
| | - John R. Middleton
- Department of Veterinary Medicine and Surgery, University of Missouri, Columbia, MO 65211, USA
| | - Marie-Lou Gauthier
- Laboratoire de Santé Animale, Ministère de l’Agriculture, des Pêcheries et de l’Alimentation du Québec (MAPAQ), Saint-Hyacinthe, QC J2S 2M2, Canada
| | - Greg P. Keefe
- Mastitis Network, Saint-Hyacinthe, QC J2S 2M2, Canada
- Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown, PE C1A 4P3, Canada
| | - Trevor J. DeVries
- Mastitis Network, Saint-Hyacinthe, QC J2S 2M2, Canada
- Department of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada
| | - David F. Kelton
- Mastitis Network, Saint-Hyacinthe, QC J2S 2M2, Canada
- Ontario Veterinary College, University of Guelph, Guelph, ON N1G 2W1, Canada
| | - Paolo Moroni
- Animal Health Diagnostic Center, Quality Milk Production Services (QMPS), Cornell University, Ithaca, NY 14853, USA
- Dipartimento Medicina Veterinaria e Scienze Animali, Universita’ Degli Studi di Milano, 26900 Lodi, Italy
| | - Marcos Veiga dos Santos
- Department of Animal Nutrition and Production, School of veterinary Medicine and Animal Sciences, University of São Paulo, Pirassununga 13630-000, SP, Brazil
| | - Herman W. Barkema
- Mastitis Network, Saint-Hyacinthe, QC J2S 2M2, Canada
- Faculty of Veterinary Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada
| | - Simon Dufour
- Faculté de Médecine Vétérinaire, Université de Montréal, Saint-Hyacinthe, QC J2S 2M2, Canada
- Mastitis Network, Saint-Hyacinthe, QC J2S 2M2, Canada
- Research Group Op+Lait, Saint-Hyacinthe, QC J2S 2M2, Canada
- Correspondence: (D.K.); (S.D.)
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Neculai-Valeanu AS, Ariton AM. Udder Health Monitoring for Prevention of Bovine Mastitis and Improvement of Milk Quality. Bioengineering (Basel) 2022; 9:608. [PMID: 36354519 PMCID: PMC9687184 DOI: 10.3390/bioengineering9110608] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 10/19/2022] [Accepted: 10/20/2022] [Indexed: 08/05/2023] Open
Abstract
To maximize milk production, efficiency, and profits, modern dairy cows are genetically selected and bred to produce more and more milk and are fed copious quantities of high-energy feed to support ever-increasing milk volumes. As demands for increased milk yield and milking efficiency continue to rise to provide for the growing world population, more significant stress is placed on the dairy cow's productive capacity. In this climate, which is becoming increasingly hotter, millions of people depend on the capacity of cattle to respond to new environments and to cope with temperature shocks as well as additional stress factors such as solar radiation, animal crowding, insect pests, and poor ventilation, which are often associated with an increased risk of mastitis, resulting in lower milk quality and reduced production. This article reviews the impact of heat stress on milk production and quality and emphasizes the importance of udder health monitoring, with a focus on the use of emergent methods for monitoring udder health, such as infrared thermography, biosensors, and lab-on-chip devices, which may promote animal health and welfare, as well as the quality and safety of dairy products, without hindering the technological flow, while providing significant benefits to farmers, manufacturers, and consumers.
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12
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Andretta M, Call DR, Nero LA. Insights into antibiotic use in Brazilian dairy production. INT J DAIRY TECHNOL 2022. [DOI: 10.1111/1471-0307.12914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Milimani Andretta
- InsPOA—Laboratório de Inspeção de Produtos de Origem Animal, Departamento de Veterinária Universidade Federal de Viçosa, Campus Universitário Viçosa MG 36570‐900 Brazil
| | - Douglas Ruben Call
- Paul G. Allen School for Global Health Washington State University 240 SE Ott Road Pullman WA 99164 USA
| | - Luís Augusto Nero
- InsPOA—Laboratório de Inspeção de Produtos de Origem Animal, Departamento de Veterinária Universidade Federal de Viçosa, Campus Universitário Viçosa MG 36570‐900 Brazil
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Colombo M, Roumet P, Salon C, Jeudy C, Lamboeuf M, Lafarge S, Dumas AV, Dubreuil P, Ngo W, Derepas B, Beauchêne K, Allard V, Le Gouis J, Rincent R. Genetic Analysis of Platform-Phenotyped Root System Architecture of Bread and Durum Wheat in Relation to Agronomic Traits. FRONTIERS IN PLANT SCIENCE 2022; 13:853601. [PMID: 35401645 PMCID: PMC8992431 DOI: 10.3389/fpls.2022.853601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 02/21/2022] [Indexed: 06/14/2023]
Abstract
Roots are essential for water and nutrient uptake but are rarely the direct target of breeding efforts. To characterize the genetic variability of wheat root architecture, the root and shoot traits of 200 durum and 715 bread wheat varieties were measured at a young stage on a high-throughput phenotyping platform. Heritability of platform traits ranged from 0.40 for root biomass in durum wheat to 0.82 for the number of tillers. Field phenotyping data for yield components and SNP genotyping were already available for all the genotypes. Taking differences in earliness into account, several significant correlations between root traits and field agronomic performances were found, suggesting that plants investing more resources in roots in some stressed environments favored water and nutrient uptake, with improved wheat yield. We identified 100 quantitative trait locus (QTLs) of root traits in the bread wheat panels and 34 in the durum wheat panel. Most colocalized with QTLs of traits measured in field conditions, including yield components and earliness for bread wheat, but only in a few environments. Stress and climatic indicators explained the differential effect of some platform QTLs on yield, which was positive, null, or negative depending on the environmental conditions. Modern breeding has led to deeper rooting but fewer seminal roots in bread wheat. The number of tillers has been increased in bread wheat, but decreased in durum wheat, and while the root-shoot ratio for bread wheat has remained stable, for durum wheat it has been increased. Breeding for root traits or designing ideotypes might help to maintain current yield while adapting to specific drought scenarios.
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Affiliation(s)
- Michel Colombo
- AGAP, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
- CEFE, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France
| | - Pierre Roumet
- AGAP, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
| | - Christophe Salon
- Univ. Bourgogne, Agroecol Lab, Univ. Bourgogne Franche Comte, AgroSup Dijon, INRAE, Dijon, France
| | - Christian Jeudy
- Univ. Bourgogne, Agroecol Lab, Univ. Bourgogne Franche Comte, AgroSup Dijon, INRAE, Dijon, France
| | - Mickael Lamboeuf
- Univ. Bourgogne, Agroecol Lab, Univ. Bourgogne Franche Comte, AgroSup Dijon, INRAE, Dijon, France
| | | | | | | | - Wa Ngo
- INRAE-Universite Clermont-Auvergne, UMR 1095, GDEC, Clermont-Ferrand, France
| | - Brice Derepas
- INRAE-Universite Clermont-Auvergne, UMR 1095, GDEC, Clermont-Ferrand, France
| | | | - Vincent Allard
- INRAE-Universite Clermont-Auvergne, UMR 1095, GDEC, Clermont-Ferrand, France
| | - Jacques Le Gouis
- INRAE-Universite Clermont-Auvergne, UMR 1095, GDEC, Clermont-Ferrand, France
| | - Renaud Rincent
- INRAE-Universite Clermont-Auvergne, UMR 1095, GDEC, Clermont-Ferrand, France
- GQE-Le Moulon, INRAE, Univ. Paris-Sud, CNRS, AgroParisTech, Universite Paris-Saclay, Gif-sur-Yvette, France
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