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犬乳腺肿瘤中的特定尿液代谢物。

Specific urinary metabolites in canine mammary gland tumors.

作者信息

Valko-Rokytovská Marcela, Očenáš Peter, Salayová Aneta, Titková Radka, Kostecká Zuzana

机构信息

Department of Chemistry, Biochemistry and Biophysics, University of Veterinary Medicine and Pharmacy in Košice, 041 81 Košice, Slovakia.

Section of Surgery, Orthopaedics, Roentgenology and Reproduction, Small Animal Clinic, University Veterinary Hospital, University of Veterinary Medicine and Pharmacy in Košice, 041 81 Košice, Slovakia.

出版信息

J Vet Sci. 2020 Mar;21(2):e23. doi: 10.4142/jvs.2020.21.e23.

DOI:10.4142/jvs.2020.21.e23
PMID:32233131
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7113568/
Abstract

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 ( < 0.001), serotonin, indoxyl sulfate ( < 0.01), and kynurenic acid ( < 0.05), and 2 tyrosine metabolites, 3,4-dihydroxy-L-phenylalanine ( < 0.001), and epinephrine ( < 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.

摘要

在人类和兽医领域,识别能够区分患病个体与健康个体的生物标志物备受关注。在这个研究领域,代谢组学方法及其相关统计分析对于生物标志物的确定可能是有用的,并且能够对健康志愿者和乳腺癌患者进行非侵入性区分。在本研究中,我们聚焦于最常见的犬类肿瘤——乳腺肿瘤,在此,我们描述了一种使用超高效液相色谱法的简单方法,用于测定犬乳腺肿瘤尿液样本中酪氨酸及其代谢物(肾上腺素、3,4-二羟基-L-苯丙氨酸、3,4-二羟基苯乙酸和香草扁桃酸)、色氨酸及其代谢物(5-羟吲哚乙酸、硫酸吲哚酚、血清素和犬尿酸)的水平。我们的结果表明,与健康组尿液样本中的浓度相比,乳腺肿瘤组尿液样本中三种色氨酸代谢物5-羟吲哚乙酸(<0.001)、血清素、硫酸吲哚酚(<0.01)和犬尿酸(<0.05)以及两种酪氨酸代谢物3,4-二羟基-L-苯丙氨酸(<0.001)和肾上腺素(<0.05)的浓度显著升高。结果表明,选定的尿液酪氨酸和色氨酸代谢物可能作为非侵入性诊断标志物以及用于制定犬乳腺肿瘤的治疗策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71cd/7113568/4cc7282de74b/jvs-21-e23-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71cd/7113568/4cc7282de74b/jvs-21-e23-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71cd/7113568/4cc7282de74b/jvs-21-e23-g001.jpg

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J Chromatogr B Analyt Technol Biomed Life Sci. 2018 Nov 1;1099:83-91. doi: 10.1016/j.jchromb.2018.09.012. Epub 2018 Sep 12.
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Metabolomics in breast cancer: A decade in review.乳腺癌代谢组学:十年回顾。
Cancer Treat Rev. 2018 Jun;67:88-96. doi: 10.1016/j.ctrv.2018.04.012. Epub 2018 May 3.
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Exploring the potential of needle trap microextraction combined with chromatographic and statistical data to discriminate different types of cancer based on urinary volatomic biosignature.
Front Oncol. 2020 Nov 12;10:563779. doi: 10.3389/fonc.2020.563779. eCollection 2020.
基于尿液挥发性生物标志物,探索针阱微萃取与色谱和统计数据相结合来区分不同类型癌症的潜力。
Anal Chim Acta. 2018 Sep 6;1023:53-63. doi: 10.1016/j.aca.2018.04.027. Epub 2018 Apr 24.
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Canine invasive mammary carcinomas as models of human breast cancer. Part 1: natural history and prognostic factors.犬浸润性乳腺肿瘤作为人类乳腺癌模型。第 1 部分:自然病史和预后因素。
Breast Cancer Res Treat. 2018 Feb;167(3):635-648. doi: 10.1007/s10549-017-4548-2. Epub 2017 Oct 30.
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Serotonin Analogues as Inhibitors of Breast Cancer Cell Growth.血清素类似物作为乳腺癌细胞生长抑制剂
ACS Med Chem Lett. 2017 Sep 14;8(10):1072-1076. doi: 10.1021/acsmedchemlett.7b00282. eCollection 2017 Oct 12.
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Epinephrine promotes COX-2-dependent immune suppression in myeloid cells and cancer tissues.肾上腺素促进髓样细胞和肿瘤组织中 COX-2 依赖性免疫抑制。
Brain Behav Immun. 2017 May;62:78-86. doi: 10.1016/j.bbi.2017.02.008. Epub 2017 Feb 16.
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