Ultra-performance liquid chromatography-quadrupole-time of flight mass spectrometry MSE-based untargeted milk metabolomics in dairy cows with subclinical or clinical mastitis
| Autor: | Xiaomin Xi, Heping Zhang, Yuenan Wang, Lai-Yu Kwok, Zhihui Mi, Chen Ma |
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| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Chromatography 0402 animal and dairy science 04 agricultural and veterinary sciences Mass spectrometry medicine.disease 040201 dairy & animal science Mastitis 03 medical and health sciences chemistry.chemical_compound 030104 developmental biology Metabolomics chemistry Genetics medicine Animal Science and Zoology Subclinical mastitis Lactose Quadrupole time of flight Somatic cell count Food Science Subclinical infection |
| Zdroj: | Journal of Dairy Science. 100:4884-4896 |
| ISSN: | 0022-0302 |
| Popis: | In this study, a novel metabolomics technique based on ultra-performance liquid chromatography-quadrupole-time of flight mass spectrometry in the MSE mode was used to investigate the milk metabolomics of healthy, subclinical, and clinical mastitis cows, which were classified based on somatic cell count and presentation of clinical symptoms. Meanwhile, univariate and multivariate statistical analyses were performed to identify the significant differences across the 3 groups. Compared with healthy milk samples, less glucose, d-glycerol-1-phosphate, 4-hydroxyphenyllactate, l-carnitine, sn-glycero-3-phosphocholine, citrate, and hippurate were detected in the clinical mastitic milk samples, whereas less d-glycerol-1-phosphate, benzoic acid, l-carnitine, and cis-aconitate were found in the subclinical mastitic milk samples. Meanwhile, the milk concentration of arginine and Leu-Leu increased in both the clinical and subclinical mastitis groups. Besides, less 4-hydroxyphenyllactate, cis-aconitate, lactose, and oxoglutarate were detected in the clinical than the subclinical mastitic milk samples, whereas the abundance of some oligopeptides (Leu-Ala, Phe-Pro-Ile, Asn-Arg-Ala-Ile, and Val-Phe-Val-Tyr) increased by over 7.95-fold. Our results suggest that significant variations exist across healthy and mastitis cows. The current metabolomics approach will help in better understanding the pathobiology of mastitis, although clinical validation will be required before field application. |
| Databáze: | OpenAIRE |
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