A Urinary Metabolomics Analysis Based on UPLC-MS and Effects of Moxibustion in APP/PS1 Mice

Author:

He Rui1,Liu Juntian2,Huang Chang3,Liu Jinyi3,Cui Herong4,Zhao Baixiao5

Affiliation:

1. School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China

2. Beijing Hospital of Acupuncture and Moxibustion, Beijing, China

3. Acupuncture and Moxibustion Department, Beijing University of Chinese Medicine Affiliated Huguo Temple Hospital of Traditional Chinese Medicine, Beijing, China

4. School of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing, China

5. School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China

Abstract

Background: Alzheimer's disease (AD) is a common neurodegenerative disorder with the symptoms of cognitive impairment and decreased learning and memory abilities. Metabolomics can reflect the related functional status and physiological and pathological changes in the process of AD. Moxibustion is a unique method in traditional Chinese medicine, which has been used in the treatment and prevention of diseases for thousands of years. Methods: A total of 32 APP/PS1 mice were randomly divided into the model group, moxibustion group, moxa smoke group and smoke-free moxibustion group (n=8/group), using the random number table method, while eight C57BL/6 mice were used as the control group. The five groups were measured for 20 min/day, 6 days/week, for 4 weeks. After 4 weeks’ experiment, all the mice were placed in metabolic cages to collect urine continuously for 24 hours, for UPLC-MS analysis. Results: Principal component analysis (PCA) was used to identify the different metabolites among the five groups, and partial least squares discriminant analysis (PLS-DA) was performed to reveal the effects on the metabolic variance. Sixteen potential biomarkers were identified among the five groups, primarily related to amino acid metabolism, starch metabolism, sucrose metabolism, interconversion of pentose and glucuronate, and aminoacyl biosynthesis. There were 17 differences in the potential metabolites between the control and model groups, involving the metabolism of amino acid, purine, pyrimidine, nicotinic acid and nicotinamide, and biosynthesis of pantothenate and coenzyme A. Fifteen potential biomarkers were identified between the model and moxibustion groups, related to starch metabolism, sucrose metabolism, interconversion of pentose and glucuronate, glyoxylate, dicarboxylate anions and some amino acid metabolism. Conclusion: Moxibustion can regulate the metabolism of substance and energy by improving the synthesis and decomposition of carbohydrates and amino acids in APP/PS1 transgenic AD model mice.

Funder

National Natural Science Foundation of China

Publisher

Bentham Science Publishers Ltd.

Subject

Neurology (clinical),Neurology

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