Omic Approaches to a Better Understanding of Mastitis in Dairy Cows

Mudaliar, Manikhandan; Thomas, Funmilola Clara; Eckersall, P.D.

doi:10.1007/978-3-319-43033-1_8

Cited by 5 publications

(7 citation statements)

References 210 publications

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“…It has been documented that an increase in milk SCC is associated with altered protein quality, fatty acid composition, lactose and mineral contents of milk (Maréchal et al ., 2011). Beside this, there are changes in a number of low molecular weight metabolites which provide a significant impairment on the quality of raw milk and thus contribute to substantial technological consequences (Sundekilde et al ., 2013b; Mudaliar et al ., 2017; Xi et al ., 2017).…”

Section: Introductionmentioning

confidence: 99%

“…Variations in milk metabolite profile in association with animal physiology and health status have been extensively documented (Li et al ., 2017; Bertram, 2018). Still, the number of publications focusing on the influence of intramammary infection on the milk metabolome is rather limited (Sundekilde et al ., 2013b; Mudaliar et al ., 2017; Xi et al ., 2017; Nonnemann et al ., 2019; Tong et al ., 2019). To our best knowledge, a metabolomic approach has never been applied for characterisation of mastitis milk obtained from crossbred Holstein dairy cows in Thailand.…”

Section: Introductionmentioning

confidence: 99%

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Comparative metabolite profiling of raw milk from subclinical and clinical mastitis cows using ¹H‐NMR combined with chemometric analysis

Luangwilai

Duangmal

Chantaprasarn

et al. 2020

Int J of Food Sci Tech

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The objectives of this study were to characterise and compare non-volatile metabolite profiles of raw milk from healthy, subclinical and clinical mastitis cows using a non-targeted proton nuclear magnetic resonance (1 H-NMR) metabolomic approach. A total of 46 metabolites were identified. Multivariate analysis allowed discrimination of milk from healthy and mastitis cows according to their 1 H-NMR metabolite profiles. Significant increases in acetate, formate, lactate, benzoate, hippurate, b-hydroxybutyrate, valerate, alanine, histidine, isoleucine, leucine, N-acetylamino acid, phenylalanine, threonine and valine content were associated with extremely high somatic cell count and clinical mastitis status of the cows. Furthermore, significant rises in hippurate, valerate, N-acetylglucosamine, histidine, isoleucine and leucine content could be used as potential biomarker for indicating subclinical mastitis infection of the udders. Beside the existing biomarkers for diagnosing mastitis in literatures, we found additional candidate metabolites, such as alanine, valerate and N-acetylglucosamine, in correlation with mastitis status of Thai crossbred Holstein dairy cows.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comparative metabolite profiling of raw milk from subclinical and clinical mastitis cows using ¹H‐NMR combined with chemometric analysis

Luangwilai

Duangmal

Chantaprasarn

et al. 2020

Int J of Food Sci Tech

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“…Investigation of mastitis and the changes in the proteome and the metabolome of milk is one of the major areas where these approaches have been applied and has yielded results of significant impact especially in the search for biomarkers in milk of mastitis, the major economically important disease of dairy (Mudaliar et al, 2017). This has implications for animal welfare and also for potentially reducing the use antimicrobials for treatments that are causing concern in relation to the growth of antimicrobial resistance of the relevant pathogens.…”

Section: Proteomics In Lactation Biologymentioning

confidence: 99%

“…Proteomics is one of a number of 'omic' sciences which when combined provide the tools for a systems biology research approach. In mammary gland biology there have been many genomic and transcriptomic investigations (Mudaliar et al, 2017) but the integration of other technology such as proteomics and metabolomics has been rare. However, a combined investigation of S. uberis mastitis in which proteomics, metabolomics and peptidomics has been undertaken (Mudaliar et al, 2016;Thomas et al, 2016a and2016b).…”

Section: Integrated Omics In Lactationmentioning

confidence: 99%

Review: Proteomic approaches to control lactational parameters in dairy cows

Eckersall

2019

Animal

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The use of a proteomic approach to investigate changes in the milk proteome is growing and has parralleled the increasing technological developments in proteomics moving from early investigation using a gel-based two-dimensional separation approach to more quantitative method of current focus applying chromatography and mass spectrometry. Proteomic approaches to investigate lactational performance have made substantial findings especially in the alterations in lactation during mastitis. An experimental model of Streptococcus uberis infection of the mammary gland has been used as a means to determine change not only in the milk proteome, but also in the peptidome and in the metabolome caused by the infection. Examination of the peptidome, that is the peptides of less than 25 kDa in molecular weight, demonstrated an increase in small peptides most of which were casein degradation products but also included small bioactive peptides such as mammary-associated serum amyloid A3 (MSAA3). The peptidome has also been shown to differ depending on the causative bacteria of naturally occuring mastitis. The use of a non-gel-based relative quantitative proteomic methodology has revealed major changes in the protein component of milk in mastitis. The S. uberis infection lead to increases in the concentrations of proteins such as cathelicidins, haptoglobin, MSAA3 and decreases milk content of proteins such as xanthine oxidase, butyrophilin and β-1,4-galactosyltransferase. Analysis of all protein change data identified the acute phase, coagulation and complement pathways as well as proteins related to bile acid metabolism as being most modified. Examination of the small molecular weight organic molecules of milk using a metabolomic approach identified an increase in the content in milk during mastitis of bile acids such as taurochenodeoxycholic acid. Notable changes were also found in metabolites responding to infection of the mammary gland. Carbohydrate and nucleic acid metabolites were reduced, whereas lipid and nitrogen containing metabolites were increased. The latter included increases in amino acids along with di and tri peptides, likely to be the result of casein degradation. The use of proteomics and other omic technology is in its infancy in investigation of lactational parameters, but can already provide additional insight into the changes involved in disease and will have further value in physiological and nutritional investigation of lactation.

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“…A recent example of the potential extent of an omic study in mastitis encompassed peptidomics, proteomics, and metabolomics . The investigation showed that there were more than 500 upregulated proteins in the milk from cows with mastitis, with cathelicidins and peptidoglycan recognition protein 1, and acute phase proteins such as haptoglobin being the most upregulated . This is clear example of research not feasible in rodents due to low volume of milk that could be collected.…”

Section: Comparative Applicationsmentioning

confidence: 99%

Proteomics in Veterinary Medicine and Animal Science: Neglected Scientific Opportunities with Immediate Impact

et al. 2018

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Animal/veterinary proteomics is an evolving field which holds a great promise not only for fundamental and applied discoveries regarding biology and pathology of domestic species, but can also be implemented in comparative applications of human diseases research. Experimental proteomics in domestic animals have advantages over use of rodents, such as multiple sampling in time series and availability of biological samples in sufficient volume for multiple analyses, such that both experimental and natural disease processes can be investigated. While there are certain technical limitations in the expansion of the field, they can currently be circumvented and in the future mastered with a greater participation of proteomic experts, which will in turn drive the accessibility of species-specific reagents, data volume expansion in bioinformatic databases, and increased funding. This Viewpoint highlights some comparative proteomics studies addressing important issues and encourages readers to expand their horizons of domestic animal proteomics research. It will hopefully inspire new fruitful collaborations between veterinary and animal scientists and proteomic specialists for research in these areas that can have immediate and direct impact on health, society, and the economy.

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Omic Approaches to a Better Understanding of Mastitis in Dairy Cows

Cited by 5 publications

References 210 publications

Comparative metabolite profiling of raw milk from subclinical and clinical mastitis cows using ¹H‐NMR combined with chemometric analysis

Comparative metabolite profiling of raw milk from subclinical and clinical mastitis cows using ¹H‐NMR combined with chemometric analysis

Review: Proteomic approaches to control lactational parameters in dairy cows

Proteomics in Veterinary Medicine and Animal Science: Neglected Scientific Opportunities with Immediate Impact

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Omic Approaches to a Better Understanding of Mastitis in Dairy Cows

Cited by 5 publications

References 210 publications

Comparative metabolite profiling of raw milk from subclinical and clinical mastitis cows using 1H‐NMR combined with chemometric analysis

Comparative metabolite profiling of raw milk from subclinical and clinical mastitis cows using 1H‐NMR combined with chemometric analysis

Review: Proteomic approaches to control lactational parameters in dairy cows

Proteomics in Veterinary Medicine and Animal Science: Neglected Scientific Opportunities with Immediate Impact

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Product

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Comparative metabolite profiling of raw milk from subclinical and clinical mastitis cows using ¹H‐NMR combined with chemometric analysis

Comparative metabolite profiling of raw milk from subclinical and clinical mastitis cows using ¹H‐NMR combined with chemometric analysis