Hui Sun, Aihua Zhang, Guangli Yan, Ying-zhi Zhang, Xiang-cai Meng, Li Liu, Ning Xie, Wei-ping Cheng, Xi-jun Wang
{"title":"Acupuncture targeting and regulating multiple signaling pathways related to Zusanli acupoint using iTRAQ-based quantitative proteomic analysis","authors":"Hui Sun, Aihua Zhang, Guangli Yan, Ying-zhi Zhang, Xiang-cai Meng, Li Liu, Ning Xie, Wei-ping Cheng, Xi-jun Wang","doi":"10.1016/j.arthe.2014.03.002","DOIUrl":null,"url":null,"abstract":"<div><p><span><span>Acupuncture has recently gained increased attention in the world as an alternative </span>treatment for diseases, but its metabolism pathways remain understood. Here we use </span>proteomic<span> technology to determine subtle protein changes and link proteins to metabolism pathways. iTRAQ-based quantitative proteomics was used to identify key proteins for acupuncture at ‘Zusanli’ acupoint (ST-36) in subjects. A total of seven related proteins were identified, and these candidates may be useful to clarify the biological mechanism of acupuncture at ST-36. Pathway analysis further revealed that most of these proteins were found to play a pivotal role in the regulation of multiple metabolism pathways.</span></p></div>","PeriodicalId":100022,"journal":{"name":"Acupuncture and Related Therapies","volume":"2 3","pages":"Pages 51-56"},"PeriodicalIF":0.0000,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.arthe.2014.03.002","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acupuncture and Related Therapies","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2211766014000127","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Acupuncture has recently gained increased attention in the world as an alternative treatment for diseases, but its metabolism pathways remain understood. Here we use proteomic technology to determine subtle protein changes and link proteins to metabolism pathways. iTRAQ-based quantitative proteomics was used to identify key proteins for acupuncture at ‘Zusanli’ acupoint (ST-36) in subjects. A total of seven related proteins were identified, and these candidates may be useful to clarify the biological mechanism of acupuncture at ST-36. Pathway analysis further revealed that most of these proteins were found to play a pivotal role in the regulation of multiple metabolism pathways.