<?xml version="1.1" encoding="utf-8"?>
<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 Technology</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.61369/MRP.2026090026</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>消渴固肾方干预2型糖尿病模型大鼠血清代谢重塑的非靶向代谢组学研究</title><url>https://artdesignp.com/journal/MRP/4/9/10.61369/MRP.2026090026</url><author>赵争敏,齐红朝,李欣,吴佳丽,吴晓芹,郑靓</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>4</volume><issue>9</issue><history><date date-type="pub"><published-time>2026-09-20</published-time></date></history><abstract>目的：基于LC-MS 非靶向血清代谢组学，解析消渴固肾方对高脂饮食联合链脲佐菌素诱导2型糖尿病大鼠血清代谢重塑的作用。方法：设正常、模型、消渴固肾方低/ 中/ 高剂量、阳性对照及QC 组，行LC-MS 采集、差异分析、PCA/PLS-DA、KEGG 富集及WGCNA 分析。结果：纳入34个样本，获690个代谢特征，映射率88.41%。模型组较正常组筛得109个差异代谢物（63个上调、46个下调），富集于胆汁分泌、鞘脂代谢及甾体激素生物合成通路。低、中、高剂量组分别筛得75、61、55个差异代谢物，PC(16:0/20:5) 在三组均呈反向调节。WGCNA 识别5个模块，筛选出SM(d18:0/16:1)、氢化可的松、胆酸等候选关键代谢物。结论：消渴固肾方系统性重塑T2DM 大鼠血清代谢组，涉及胆汁酸、鞘脂代谢及甾体激素合成通路，为后续机制验证提供候选靶点。</abstract><keywords>消渴固肾方,2 型糖尿病,非靶向代谢组学,胆汁酸,鞘脂代谢,WGCNA</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1] Rinschen MM, et al. Metabolomics and lipidomics in metabolic disease research. Cell Metabolism, 2019.[2] Reed MJ, Meszaros K, Entes LJ, et al. A new rat model of type 2 diabetes: the fat-fed, streptozotocin-treated rat. Metabolism, 2000.[3] 赵争敏, 齐红朝, 杨宏杰, 等. 消渴固肾方对2 型糖尿病大鼠尿微量白蛋白的影响及机制研究[J]. 中文科技期刊数据库( 全文版) 医药卫生,2023(5):0092-0095.[4]Zhang A, Sun H, Wang P, et al. Metabonomics for discovering biomarkers of diabetes mellitus. Journal of Proteome Research, 2016.[5] 周迎生, 高妍, 李斌, 等. 高脂喂养联合链脲佐菌素注射的糖尿病大鼠模型特征[J]. 中国实验动物学报,2005,(3):154-158+196.[6] Dunn WB, Broadhurst D, Begley P, et al. Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupledto mass spectrometry. Nature Protocols, 2011.[7] Langfelder P, Horvath S. WGCNA: an R package for weighted correlation network analysis. BMC Bioinformatics, 2008.[8] Wahlstr&amp;ouml;m A, Sayin SI, Marschall HU, B&amp;auml;ckhed F. Intestinal crosstalk between bile acids and microbiota and its impact on host metabolism. Cell Metabolism, 2016.[9] Chaurasia B, Summers SA. Ceramides&amp;mdash;lipotoxic inducers of metabolic disorders. Trends in Endocrinology &amp;amp; Metabolism, 2015.[10] Sumner LW, et al. Proposed minimum reporting standards for chemical analysis (metabolomics standards initiative). Metabolomics, 2007.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
