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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">MRP</journal-id><journal-title-group><journal-title>Medical Research and Practice</journal-title></journal-title-group><issn>2993-9690</issn><eissn>2993-9704</eissn><publisher><publisher-name>Art and Design</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.61369/MRP.2025050027</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>丹酚酸A抗炎症作用的机制研究</title><url>https://artdesignp.com/journal/MRP/3/5/10.61369/MRP.2025050027</url><author>龙起文,黄清霞,金波</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>3</volume><issue>5</issue><history><date date-type="pub"><published-time>2025-05-20</published-time></date></history><abstract>目的：通过网络药理学和分子对接技术，探讨丹酚酸A（Salvianolic &amp;nbsp; &amp;nbsp;acid &amp;nbsp; &amp;nbsp;A，SalA）抗炎作用的靶点及其作用机制。方法：以多个数据库预测SalA的作用靶点以及炎症相关的靶点，并取交集，得到SalA治疗炎症的关键靶点；用STRING数据库进行分析，并进行基因本体论（Gene &amp;nbsp; &amp;nbsp;Ontology，GO）功能及京都基因与基因组百科全书（Kyoto&amp;nbsp; &amp;nbsp;Encyclopedia &amp;nbsp; &amp;nbsp;of &amp;nbsp; &amp;nbsp;Genes &amp;nbsp; &amp;nbsp;and &amp;nbsp; &amp;nbsp;Genomes，KEGG）通路富集分析。通过AutoDock &amp;nbsp; &amp;nbsp;Vina进行分子对接模拟验证。结果：共获得SalA作用预测靶点578个、炎症靶点2022个，药物、疾病共同交集的靶点有140个，暗示SalA可能通过凋亡通路、焦亡通路等发挥抗炎作用。分子对接验证核心靶点与SalA之间亲和力较强。结论：SalA可能通过多个炎症蛋白结合，多靶点调控多通路发挥抗炎作用。</abstract><keywords>网络药理学,丹酚酸A,抗炎,分子对接</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1]国家卫生健康委员会. 2023中国卫生健康统计年鉴 [M]. 北京:中国协和医科大学出版社. 2024.&amp;nbsp;[2]Xie Y, Xu E, Bowe B, et al. 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