Literature DB >> 16827947

L-lactate dehydrogenase and N-acetyl-beta-D-glucosaminidase activities in bovine milk as indicators of non-specific mastitis.

Mizeck Gg Chagunda1, Torben Larsen, Martin Bjerring, Klaus L Ingvartsen.   

Abstract

Systematic factors affecting the activities of L-lactate dehydrogenase (LDH) and N-acetyl-beta-D-glucosaminidase (NAGase) and somatic cell count (SCC), the association between the activities of LDH and NAGase and SCC with respect to udder health status, and the ability of LDH and NAGase to classify cows in udder health categories for early detection of mastitis were studied. A dataset of records from 74 Danish Holstein, 76 Danish Red and 47 Jersey cows on one research farm was used. Cows were grouped into healthy and clinically mastitic. A healthy cow was defined as having no veterinary treatment and SCC<100,000 cells/ml. A clinically infected cow was one receiving veterinary treatment after showing clinical signs of mastitis and SCC >800,000 cells/ml. Breed, month of production, and days in milk significantly influenced (P<0.001) LDH activity, NAGase activity and SCC in both healthy and clinically mastitic cows. In healthy cows, LDH activity, NAGase activity and SCC started at a high level immediately after calving and decreased to low levels approximately 30-40 d post partum. All the three parameters increased due to clinical mastitis. NAGase activity had numerically higher variation in healthy cows than in clinically mastitic cows (CV=56.2% v. CV=53.5%). The relationship between LDH activity and SCC was stronger in milk from clinically mastitic than from healthy cows (r=0.76 v. r=0.48 and r=0.67 v. r=0.44 for correlation of observed values and residuals, respectively). LDH activity had higher sensitivity than NAGase activity (73-95% v. 35-77%) while specificities were in a similar range (92-99%). Further, sensitivities for LDH activity were more robust to changes in the threshold value than those for NAGase activity. Opportunities for automated, in-line real-time mastitis detection are discussed.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16827947     DOI: 10.1017/S0022029906001956

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


  10 in total

Review 1.  Subclinical mastitis in dairy cows in south-Asian countries: a review of risk factors and etiology to prioritize control measures.

Authors:  Md Saiful Bari; Md Mizanur Rahman; Ylva Persson; Marjolein Derks; Md Abu Sayeed; Delower Hossain; Shuvo Singha; Md Ahasanul Hoque; Subramnian Sivaraman; Palika Fernando; Ijaz Ahmad; Abdul Samad; Gerrit Koop
Journal:  Vet Res Commun       Date:  2022-06-14       Impact factor: 2.816

2.  Changes in various metabolic parameters in blood and milk during experimental Escherichia coli mastitis for primiparous Holstein dairy cows during early lactation.

Authors:  Kasey M Moyes; Torben Larsen; Peter Sørensen; Klaus L Ingvartsen
Journal:  J Anim Sci Biotechnol       Date:  2014-10-17

3.  First Evaluation of Infrared Thermography as a Tool for the Monitoring of Udder Health Status in Farms of Dairy Cows.

Authors:  Mauro Zaninelli; Veronica Redaelli; Fabio Luzi; Valerio Bronzo; Malcolm Mitchell; Vittorio Dell'Orto; Valentino Bontempo; Donata Cattaneo; Giovanni Savoini
Journal:  Sensors (Basel)       Date:  2018-03-14       Impact factor: 3.576

Review 4.  Clinical and Diagnostic Significance of Lactate Dehydrogenase and Its Isoenzymes in Animals.

Authors:  Robert Klein; Oskar Nagy; Csilla Tóthová; Frederika Chovanová
Journal:  Vet Med Int       Date:  2020-06-15

5.  Impact of yeast and lactic acid bacteria on mastitis and milk microbiota composition of dairy cows.

Authors:  Jing Gao; Yu-Chen Liu; Yu Wang; Han Li; Xiang-Ming Wang; Yan Wu; Ding-Ran Zhang; Si Gao; Zhi-Li Qi
Journal:  AMB Express       Date:  2020-01-29       Impact factor: 3.298

6.  The Role of Ewes' Udder Health on Echotexture and Blood Flow Changes during the Dry and Lactation Periods.

Authors:  Aikaterini Ntemka; Ioannis Tsakmakidis; Constantin Boscos; Alexandros Theodoridis; Evangelos Kiossis
Journal:  Animals (Basel)       Date:  2022-08-30       Impact factor: 3.231

7.  Sensitivity and Specificity for the Detection of Clinical Mastitis by Automatic Milking Systems in Bavarian Dairy Herds.

Authors:  Mathias Bausewein; Rolf Mansfeld; Marcus G Doherr; Jan Harms; Ulrike S Sorge
Journal:  Animals (Basel)       Date:  2022-08-19       Impact factor: 3.231

8.  Identification of Changes in Rumination Behavior Registered with an Online Sensor System in Cows with Subclinical Mastitis.

Authors:  Ramūnas Antanaitis; Vida Juozaitienė; Dovilė Malašauskienė; Mindaugas Televičius; Mingaudas Urbutis; Arūnas Rutkaukas; Greta Šertvytytė; Walter Baumgartner
Journal:  Vet Sci       Date:  2022-08-24

Review 9.  Challenges and opportunities of bovine milk analysis by mass spectrometry.

Authors:  Aparna Verma; Kiran Ambatipudi
Journal:  Clin Proteomics       Date:  2016-04-19       Impact factor: 3.988

10.  Milk Metabolomics Data Reveal the Energy Balance of Individual Dairy Cows in Early Lactation.

Authors:  Wei Xu; Jacques Vervoort; Edoardo Saccenti; Renny van Hoeij; Bas Kemp; Ariette van Knegsel
Journal:  Sci Rep       Date:  2018-10-25       Impact factor: 4.379

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.