Academic Thesis

Basic information

Name Hisaeda Keiichi
Belonging department
Occupation name
researchmap researcher code R000007730
researchmap agency Okayama University of Science

Title

Serum amyloid A and lactoferrin concentrations in milk at mastitis diagnosis can serve as a predictive indicators of intramammary status 7 days later

Bibliography Type

Joint Author

Author

Keiichi Hisaeda ,  Naomi Ohta ,  Naoki Yamamoto ,  Akira Goto ,  Yoichi Inoue ,  Yasunori Shinozuka ,  Naoki Suzuki ,  Naoki Isobe

Summary

This study investigated whether the inflammatory component levels in bovine milk measured on the day of mastitis diagnosis were associated with recovery outcomes 7 days later. Milk was collected on Day 0 (the initial day of mastitis diagnosis) and Day 7 from 40 quarters of 32 dairy cows diagnosed with spontaneous acute mastitis. The pH, somatic cell count (SCC), and concentrations of serum amyloid A (SAA), interleukin-8, lactoferrin (LF), and sodium in milk were measured on Day 0 to evaluate their association with SCC on Day 7. A positive correlation was identified between SCC on Day 7 and SAA, LF, and Na levels on Day 0. For receiver operating characteristic analysis, a log10SCC > 4.8 (70,000 cells/mL) on Day 7 was considered indicative of mastitis. The cutoff values for SAA and LF on Day 0 were 21.6 and 81 μg/mL, respectively, with sensitivities of 79.3% and 86.2%, specificities of 77.8% and 66.7%, and areas under the curve of 0.784 and 0.762, respectively. These results indicate that measuring SAA and LF concentrations in milk at the initial mastitis diagnosis may predict intramammary conditions 7 days later, potentially aiding in understanding the pathology of mastitis and informing treatment strategies.

Magazine(name)

Animal Science Journal

Publisher

Volume

97

Number Of Pages

1

StartingPage

EndingPage

Date of Issue

2026/03

Referee

Exist

Invited

Not exist

Language

English

Thesis Type

Research papers (academic journals)

ISSN

DOI

https://doi.org/10.1111/asj.70170

NAID

PMID

URL

J-GLOBAL ID

arXiv ID

ORCID Put Code

DBLP ID