Have a personal or library account? Click to login
Serum metabolomic analysis of feline mammary carcinomas based on LC-MS and MRM techniques Cover

Serum metabolomic analysis of feline mammary carcinomas based on LC-MS and MRM techniques

Open Access
|Nov 2020

Abstract

Introduction

To date, there have been no panoramic studies of the serum metabolome in feline mammary carcinoma. As the first such study, metabolomics techniques were used to analyse the serum of cats with these tumours. Three important metabolic pathways of screened differential metabolites closely related to feline mammary carcinomas were analysed to lay a theoretical basis for further study of the pathogenesis of these carcinomas.

Material and Methods

Blood in a 5–8 mL volume was sampled from twelve cats of the same breed and similar age (close to nine years on average). Six were feline mammary carcinoma patients and six were healthy. L glutamate, L alanine, succinate, adenine, hypoxanthine, and inosine were screened as were alanine, aspartate, and glutamate metabolism, the tricarboxylid acid (TCA) cycle, and purine metabolism. Data were acquired with LC-MS non-target metabolomics, multiple reaction monitoring target metabolomics, and multivariate statistical and bioinformatic analysis.

Results

Expression of five of the metabolites was upregulated and only inosine expression was downregulated. Up- and downregulation of metabolites related to glycometabolism, potentiation of the TCA cycle, greater content of lipid mobilisation metabolites, and abnormality of amino acid metabolism were closely related to the occurrence of the carcinomas.

Conclusion

These findings provide a new direction for further study of the mechanisms associated with cat mammary neoplasms.

Language: English
Page range: 581 - 588
Submitted on: Apr 16, 2020
Accepted on: Oct 7, 2020
Published on: Nov 6, 2020
Published by: National Veterinary Research Institute in Pulawy
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2020 Jia-san Zheng, Ren-yue Wei, Zheng Wang, Jun Song, Yan-song Ge, Rui Wu, published by National Veterinary Research Institute in Pulawy
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.