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논문 기본 정보

자료유형
학술저널
저자정보
Marcela Valko-Rokytovská (University of Veterinary Medicine and Pharmacy in Košice) Peter Očenáš (University of Veterinary Medicine and Pharmacy in Košice) Aneta Salayová (University of Veterinary Medicine and Pharmacy in Košice) Radka Titková (University of Veterinary Medicine and Pharmacy in Košice) Zuzana Kostecká (University of Veterinary Medicine and Pharmacy in Košice)
저널정보
대한수의학회 Journal of Veterinary Science Journal of Veterinary Science 제21권 제2호
발행연도
2020.3
수록면
54 - 63 (10page)

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The identification of biomarkers that distinguish diseased from healthy individuals is of great interest in human and veterinary fields. In this research area, a metabolomic approach and its related statistical analyses can be useful for biomarker determination and allow non-invasive discrimination of healthy volunteers from breast cancer patients. In this study, we focused on the most common canine neoplasm, mammary gland tumor, and herein, we describe a simple method using ultra-high-performance liquid chromatography to determine the levels of tyrosine and its metabolites (epinephrine, 3,4-dihydroxy-L-phenylalanine, 3,4-dihydroxyphenylacetic acid, and vanillylmandelic acid), tryptophan and its metabolites (5-hydroxyindolacetic acid, indoxyl sulfate, serotonin, and kynurenic acid) in canine mammary cancer urine samples. Our results indicated significantly increased concentrations of three tryptophan metabolites, 5-hydroxyindolacetic acid (p < 0.001), serotonin, indoxyl sulfate (p < 0.01), and kynurenic acid (p < 0.05), and 2 tyrosine metabolites, 3,4-dihydroxy-L-phenylalanine (p < 0.001), and epinephrine (p < 0.05) in urine samples from the mammary gland tumor group compared to concentrations in urine samples from the healthy group. The results indicate that select urinary tyrosine and tryptophan metabolites may be useful as non-invasive diagnostic markers as well as in developing a therapeutic strategy for canine mammary gland tumors.

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ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
REFERENCES

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