Literature DB >> 25797116

Metabolomics study of hematopoietic function of Angelica sinensis on blood deficiency mice model.

Peng-Ling Li1, Hong-Guo Sun1, Yong-Li Hua1, Peng Ji1, Ling Zhang1, Jin-Xia Li1, Yanming Wei2.   

Abstract

ETHNOPHARMACOLOGICAL RELEVANCE: Angelica sinensis (AS) has been used in traditional Chinese medicine for thousands of years to enrich and invigorate blood. In this study, the aim is to investigate the influence of AS on metabolism of blood deficiency mice model and to explore its anti-blood deficiency mechanism.
MATERIALS AND METHODS: The blood deficiency mice model was induced by being hypodermically injected with N-acetyl phenylhydrazine (APH) and being intraperitoneally injected with cyclophosphamide (CTX). Gas chromatography-mass spectrometry (GC-MS), principle component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) were used to identify potential biomarkers in plasma and splenic tissue.
RESULTS: The levels of white blood cell (WBC), red blood cell (RBC), hemoglobin (HGB) and platelet (PLT) showed a trend to return to control group after administrating with AS, while the dose of 10g/kg showed the best effect. Potential metabolite biomarkers (nine in the plasma and nine in the spleen homogenates) were identified in this study. These biomarkers were mainly related to five metabolic pathways, such as arachidonic acid metabolism, valine, leucine and isoleucine biosynthesis, glycine, serine and threonine metabolism, arginine and proline metabolism and TCA cycle.
CONCLUSION: Metabolomics was used to reflect an organism׳s physiological and metabolic state comprehensively, indicating that metabolomics was a potentially powerful tool to reveal the anti-blood deficiency mechanism of AS.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Angelica sinensis; Arachidonic acid (Pubchem CID:444899); Biomarkers; Blood deficiency; GC–MS; Glycine (Pubchem CID:750); Hexadecanoic acid (Pubchem CID:985); Malic acid (Pubchem CID:525); Metabolomics; Stearic acid (Pubchem CID:5281); l-alanine (Pubchem CID:5950); l-lactic acid (Pubchem CID:16217526).; l-proline (Pubchem CID:145742); l-threonine (Pubchem CID:6288); l-valine (Pubchem CID:6287)

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Year:  2015        PMID: 25797116     DOI: 10.1016/j.jep.2015.03.010

Source DB:  PubMed          Journal:  J Ethnopharmacol        ISSN: 0378-8741            Impact factor:   4.360


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