Metabolic Profiling Provides a System for the Understanding of Alzheimer’s Disease in Rats Post-Treatment With Kaixin San

Wang, Xijun; Han, Ying; Zhang, Aihua; Sun, Hui

doi:10.1016/b978-0-12-803117-9.00022-6

Cited by 9 publications

(12 citation statements)

References 11 publications

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“…40 A UPLC-G2-Q-TOF-MS-based urine metabolomics approach was employed to explore the protective effects of SMS on AD rats induced by Al and d-Gal. The results identified 11 urine metabolites as potential biomarkers for AD rats, similar to the previous study, 45 six of which-sphingosine, 5-methoxytryptophol, deoxyguanosine 5 -monophosphate, inositol, 1,4,5-trisphosphate, phosphorylcholine, and hippuric acid--correlated with the SMS therapeutic effects on glyoxylate and dicarboxylate metabolism, inositol phosphate metabolism, citrate cycle, and sphingolipid metabolism in AD rats. 47 GC-MS-based metabolomics GC-MS is a highly efficient, sensitive, and reproducible method for the analysis of metabolites with low molecular weights.…”

Section: Lc-ms-based Metabolomicssupporting

confidence: 87%

Characterizing Alzheimer's disease through metabolomics and investigating anti‐Alzheimer's disease effects of natural products

Liu

Wang

et al. 2017

Annals of the New York Academy of Sciences

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Alzheimer's disease (AD) is the most common cause of dementia in elderly people and is among the greatest healthcare challenges of the 21st century. However, the etiology and pathogenesis of AD remain poorly understood, and no curative treatments are available to slow down or stop the degenerative effects of AD. As a high-throughput approach, metabolomics is gaining significant attention in AD research, because it has a powerful potential to discover novel biomarkers, unravel new therapeutic targets for AD, and identify perturbed metabolic pathways involved in AD progression. Here, we systematically review metabolomics with regard to its recent advances and applications in the identification of potential biomarkers for early AD diagnosis and pathogenesis research. In addition, we illustrate the developments in metabolomics as an effective tool for understanding the anti-AD mechanisms of natural products. We believe that the insights from these advances can narrow the gap between metabolomics research and clinical applications of laboratory findings. Moreover, we discuss some limitations and perspectives of biomarker identification in metabolomics.

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Section: Lc-ms-based Metabolomicssupporting

confidence: 87%

Characterizing Alzheimer's disease through metabolomics and investigating anti‐Alzheimer's disease effects of natural products

Liu

Wang

et al. 2017

Annals of the New York Academy of Sciences

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“…Metabolomics has the ability to simultaneously measure thousands of metabolites to characterize the global and dynamic profiling of disease occurrence and development by distinct association of liquid (LC) and gas (GC) chromatography binded with mass spectrometry (MS) or nuclear magnetic resonance (NMR) (Sun et al, 2013;Zhang et al, 2015a). To date, more valuable information about biomarker findings for forecasting, early diagnosis, accurate curing, and prognosis has been successfully brought about (Wu et al, 2011;Zhang et al, 2014c;Wang et al, 2015;Liu et al, 2018). Metabolomics has its special advantages in the study of complex disease mechanisms and could correlate changes in metabolite content with biological phenotype.…”

Section: Introductionmentioning

confidence: 99%

High-Throughput Metabolomics for Identification of Metabolic Pathways and Deciphering the Effect Mechanism of Dioscin on Rectal Cancer From Cell Metabolic Profiles Coupled With Chemometrics Analysis

Wang

2020

Front. Pharmacol.

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High-throughput liquid chromatography-mass spectrometry (LC-MS)-based metabolomics can provide the holistic analysis of the low molecular weight endogenous metabolites in cells and reflect the changes of cellular regulation and metabolic pathways. Our study designed to reveal the potentially pharmacological effects of dioscin on SW480 rectal cancer cells using nontargeted metabolomics method to probe into small molecular metabolites and pathway changes. After the cell assay of proliferation, apoptosis, migration, and invasion, the dioscin-treated cell samples were prepared for nontargeted metabolomics analysis based on LC-MS tool to describe the metabolic profiles. Dioscin has prevented cell proliferation and accelerated cell apoptosis, and it also inhibited the SW480 rectal cancer cells' migration and invasion. A total of 22 metabolites were selected as promising biomarkers of pharmacological reaction of dioscin to rectal cancer, and eight highly correlated pathways including D-glutamine and D-glutamate metabolism, pyruvate metabolism, arachidonic acid metabolism, phenylalanine metabolism, tryptophan metabolism, glycolysis or gluconeogenesis, citrate cycle (TCA cycle), and butanoate metabolism were identified. It showed that strategies based on cell metabolomics are helpful tools to discover the small molecular metabolites to elucidate the action mechanism of drug.

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“…Metabolomics plays an important role in exploring metabolic disorder metabolism-related diseases, [18][19][20][21][22][23][24][25][26][27][28][29] biomarkers identication [30][31][32][33][34][35][36][37][38] and response to treatment. [39][40][41][42][43][44][45][46] In this study, differences in biomarkers in urine between the model group and the blank group were successfully analyzed and 25 biomarkers were ultimately associated with the CHD model.…”

Section: Discussionmentioning

confidence: 99%

Exploring potential biomarkers of coronary heart disease treated by Jing Zhi Guan Xin Pian using high-throughput metabolomics

Sun

Zhang

et al. 2019

RSC Adv.

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Metabolic Profiling Provides a System for the Understanding of Alzheimer’s Disease in Rats Post-Treatment With Kaixin San

Cited by 9 publications

References 11 publications

Characterizing Alzheimer's disease through metabolomics and investigating anti‐Alzheimer's disease effects of natural products

Characterizing Alzheimer's disease through metabolomics and investigating anti‐Alzheimer's disease effects of natural products

High-Throughput Metabolomics for Identification of Metabolic Pathways and Deciphering the Effect Mechanism of Dioscin on Rectal Cancer From Cell Metabolic Profiles Coupled With Chemometrics Analysis

Exploring potential biomarkers of coronary heart disease treated by Jing Zhi Guan Xin Pian using high-throughput metabolomics

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