Literature DB >> 24103631

Use of milk amyloid A in the diagnosis of subclinical mastitis in dairy ewes.

Arianna Miglio1, Livia Moscati, Gabriele Fruganti, Michela Pela, Eleonora Scoccia, Andrea Valiani, Carmen Maresca.   

Abstract

Subclinical mastitis (SM) is one of the most important diseases affecting dairy ewes worldwide, with negative impact on the animal health, farm income and public health. Animals with SM often remain untreated because the disease may not be revealed. Increase in somatic cell count (SCC) and positive bacteriology for mastitis pathogens in milk samples are indicative of SM but the evidence of only one of these alterations must suggest an uncertain SM (UM). UM is defined when positive bacteriological examination (Latent-SM) or SCC>500 000 cells/ml (non-specific-SM) are detected in milk. Nevertheless, SCC and bacteriological examination are expensive, time consuming and are not yet in use at the farm level in dairy ewes. Recently, a sensitive acute phase protein, amyloid A, displaying multiple isoforms in plasma and different body fluids including mammary secretion (milk amyloid A-MAA), has been investigated as a marker of mastitis in cows and, in a few studies, in sheep. The aim of this trial was to compare the concentration of MAA of single udder-halves in ewes with healthy udder-halves (HU-control group) and naturally occurring subclinical mastitis, both confirmed (SM group) and uncertain (UM groups: Latent-SM and non-specific-SM), for monitoring udder health. The reliability of a specific ELISA kit for the measurement of MAA was also tested. During a 3-month trial period, 153 udder halves were assigned to the experimental groups based on their health status: 25 with SM, 40 with UM (11 with latent-SM and 29 with non-specific-SM) and 88 HU. SCC and bacteriological analysis were performed to establish the control and subclinical mastitis groups. MAA concentrations in milk samples were measured using a specific commercially milk ELISA kit. The data were submitted to statistical analysis. Significant (P<0·05) differences among the groups SM, non-specific-SM and HU were detected with the SM having the highest level and HU the lowest. MAA concentration is affected by the udder health status and is a useful indicator of subclinical mastitis and increased SCC in sheep.

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Year:  2013        PMID: 24103631     DOI: 10.1017/S0022029913000484

Source DB:  PubMed          Journal:  J Dairy Res        ISSN: 0022-0299            Impact factor:   1.904


  9 in total

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2.  Changes of acute-phase proteins, glucose, and lipid metabolism during pregnancy in lactating dairy cows.

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3.  Study on the accuracy of milk amyloid A test and other diagnostic methods for identification of milk quality.

Authors:  Mohammadreza Taghdiri; Guiti Karim; Shahabeddin Safi; Abbas Rahimi Foroushani; Abbasali Motalebi
Journal:  Vet Res Forum       Date:  2018-06-15       Impact factor: 1.054

Review 4.  Use of Proteomics in the Study of Mastitis in Ewes.

Authors:  Angeliki I Katsafadou; Natalia G C Vasileiou; George C Fthenakis
Journal:  Pathogens       Date:  2019-08-29

5.  Structural Insights into Curli CsgA Cross-β Fibril Architecture Inspire Repurposing of Anti-amyloid Compounds as Anti-biofilm Agents.

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Review 6.  Serum Amyloid A as a Promising Biomarker in Domestic Animals' Reproduction: Current Knowledge and Future Perspective.

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Journal:  Animals (Basel)       Date:  2022-02-25       Impact factor: 2.752

Review 7.  Milk proteins as mastitis markers in dairy ruminants - a systematic review.

Authors:  Anna Giagu; Martina Penati; Sara Traini; Simone Dore; Maria Filippa Addis
Journal:  Vet Res Commun       Date:  2022-02-23       Impact factor: 2.816

8.  Reference values for serum amyloid A, haptoglobin, lysozyme, zinc and iron in healthy lactating Lacaune sheep.

Authors:  Arianna Miglio; Livia Moscati; Emanuela Scoccia; Carmen Maresca; Maria Teresa Antognoni; Andrea Felici
Journal:  Acta Vet Scand       Date:  2018-08-06       Impact factor: 1.695

9.  Novel Biomarkers of Mastitis in Goat Milk Revealed by MALDI-TOF-MS-Based Peptide Profiling.

Authors:  Monica Matuozzo; Maria Stefania Spagnuolo; Hany A Hussein; A M Gomaa; Andrea Scaloni; Chiara D'Ambrosio
Journal:  Biology (Basel)       Date:  2020-07-28
  9 in total

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