Zhan Libin , Chu Yan , Zhao Xinjie , Xu Guowang , Zhang Li , Sui Hua , Liu Ying , Wu Benhui
{"title":"Study on the Nature of Spleen Qi Deficiency Based on Metabonomics","authors":"Zhan Libin , Chu Yan , Zhao Xinjie , Xu Guowang , Zhang Li , Sui Hua , Liu Ying , Wu Benhui","doi":"10.1016/S1876-3553(12)60019-2","DOIUrl":null,"url":null,"abstract":"<div><p>This study aimed at analyzing small molecule metabolites c in plasma in order to find the spectra of plasma in metabolic syndromes (MS) of spleen <em>qi</em> deficiency, which is different from other kinds of deficiency. The basic documents related to subjects were collected in combination with the diagnostic criteria of metabolic syndrome and spleen <em>qi</em> deficiency. UPLC-Q-TOF-MS was used in the separation of plasma metabolites. The results showed that the spectrum of plasma in MS of the spleen <em>qi</em> deficiency is different from healthy subjects in metabonomics (<em>P</em> < 0.05). It is concluded that three compounds are possibly the latent markers of MS; another three compounds may be the potential markers of the spleen <em>qi</em> deficiency.</p></div>","PeriodicalId":101287,"journal":{"name":"World Science and Technology","volume":"13 4","pages":"Pages 622-625"},"PeriodicalIF":0.0000,"publicationDate":"2011-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1876-3553(12)60019-2","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"World Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1876355312600192","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This study aimed at analyzing small molecule metabolites c in plasma in order to find the spectra of plasma in metabolic syndromes (MS) of spleen qi deficiency, which is different from other kinds of deficiency. The basic documents related to subjects were collected in combination with the diagnostic criteria of metabolic syndrome and spleen qi deficiency. UPLC-Q-TOF-MS was used in the separation of plasma metabolites. The results showed that the spectrum of plasma in MS of the spleen qi deficiency is different from healthy subjects in metabonomics (P < 0.05). It is concluded that three compounds are possibly the latent markers of MS; another three compounds may be the potential markers of the spleen qi deficiency.