Serum metabolic profiling in pregnant Holstein cows 3 weeks prior to parturition using two-dimensional gas chromatography time-of-flight mass spectrometry

This preliminary study explored potential serum biomarkers for predicting the onset of milk fever (MF), a bovine parturient disease with hypocalcemia. We conducted two-dimensional gas chromatography mass spectrometry-based metabolomics in 8 and 17 pregnant Holstein cows that did and did not develop...

Full description

Saved in:
Bibliographic Details
Published inJournal of Veterinary Medical Science Vol. 86; no. 6; pp. 606 - 611
Main Authors ICHIZAWA, Shota, UENOYAMA, Reiko, KAWASHIMA, Chiho, MIYAZAKI, Masao, YAMAGISHI, Norio, MIYAZAKI, Tamako
Format Journal Article
LanguageEnglish
Published Japan JAPANESE SOCIETY OF VETERINARY SCIENCE 2024
Japan Science and Technology Agency
The Japanese Society of Veterinary Science
Subjects
Animals
Biochemistry
Biomarkers
Biomarkers - blood
Calcium - blood
Cattle - blood
Cattle Diseases - blood
cow
Female
gas chromatograph-mass spectrometry
Gas chromatography
Gas Chromatography-Mass Spectrometry - methods
Gas Chromatography-Mass Spectrometry - veterinary
Hypocalcemia
Mass spectroscopy
Metabolites
Metabolome
Metabolomics
Metabolomics - methods
Milk fever
Parturition
Parturition - blood
Pregnancy
Principal Component Analysis
Principal components analysis
serum metabolomics
cow
gas chromatograph-mass spectrometry
milk fever
serum metabolomics
Online AccessGet full text

Cover

More Information
Summary:This preliminary study explored potential serum biomarkers for predicting the onset of milk fever (MF), a bovine parturient disease with hypocalcemia. We conducted two-dimensional gas chromatography mass spectrometry-based metabolomics in 8 and 17 pregnant Holstein cows that did and did not develop MF 3 weeks later, respectively. In principal component analysis (PCA) applied to a dataset containing 1,498 metabolites, serum metabolites exhibited highly similar chemical profiles between cows with and without MF. PCA with a limited dataset of metabolites containing fatty acids, which had significantly different values between the groups and/or correlation coefficients of >0.5 for the serum calcium concentration, distinguished the two groups. These suggest the possibility of developing serum biomarkers for predicting bovine MF.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:0916-7250
1347-7439
1347-7439
DOI:10.1292/jvms.24-0091