精细化工2024,Vol.41Issue(2) :381-390.DOI:10.13550/j.jxhg.20230282

代谢组学探究刺梨提取物对高尿酸血症大鼠的作用

Effect of Rosa roxburghii Tratt.extract on hyperuricemia rats by metabonomics

刘含 庄乾飞 郭银萍 穆兴燕 石自慧 刘晓燕
精细化工2024,Vol.41Issue(2) :381-390.DOI:10.13550/j.jxhg.20230282

代谢组学探究刺梨提取物对高尿酸血症大鼠的作用

Effect of Rosa roxburghii Tratt.extract on hyperuricemia rats by metabonomics

刘含 1庄乾飞 1郭银萍 1穆兴燕 1石自慧 1刘晓燕2
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作者信息

  • 1. 贵阳学院 食品与制药工程学院,贵州 贵阳 550005
  • 2. 贵阳学院 食品与制药工程学院,贵州 贵阳 550005;贵州省果品加工工程技术研究中心,贵州 贵阳 550005
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摘要

采用氧嗪酸钾建立高尿酸血症大鼠模型,分别以别嘌醇(阳性药物对照)、低、中、高剂量刺梨提取物对大鼠进行给药,使用LC-MS技术对大鼠血清进行非靶向定性解析,运用多元统计方法进行大鼠血清数据分析并筛选出差异代谢物,通过MBRole 2.0通路分析功能进行代谢途径分析.结果显示,不同剂量的刺梨提取物均能降低高尿酸血症大鼠的血清尿酸浓度,并在血清中鉴定出242种代谢物.在变量重要性投影(VIP)>1、P<0.01以及差异倍数(FC)≥2的标准下,共筛选出44种显著差异代谢物,与差异代谢物相关的代谢途径共有58条.刺梨提取物降低尿酸可能与其对黄嘌呤氧化酶活性的抑制以及对血清脂质和氨基酸代谢的调节有关.

Abstract

Hyperuricemia rat models,established with potassium oxonate,were administered with low,medium and high doses of Rosa roxburghii Tratt.extract as well as allopurinol(positive drug control).Non-targeted qualitative analysis on rat serum was performed using LC-MS technology,with multivariate statistical methods used to analyze rat serum data and screen for differential metabolites.Metabolic pathway analysis was further conducted via the MBRole 2.0 pathway analysis function.The results showed that all dosage of Rosa roxburghii Tratt.extract could reduce uric acid concentration in serum of hyperuricemia rats,and 242 metabolites were identified in the serum.Under the criteria of variable importance projection(VIP)>1,P<0.01,and fold change(FC)≥2,a total of 44 significantly different metabolites were screened,with a total of 58 metabolic pathways corresponding to different metabolites.The reduction of uric acid by Rosa roxburghii Tratt.extract might be related to its inhibition of xanthine oxidase activity and regulation of serum lipid and amino acid metabolism.

关键词

刺梨提取物/高尿酸血症/非靶向代谢组学/差异代谢物/代谢通路/中药现代化技术

Key words

Rosa roxburghii Tratt.extract/hyperuricemia/nontargeted metabolomics/differential metabolites/metabolic pathway/modern technology of Chinese medicine

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出版年

2024
精细化工
大连化工研究院设计院 中国化工学会精细化工专业委员会 辽宁省化工研究院

精细化工

CSTPCDCSCD北大核心
影响因子:0.557
ISSN:1003-5214
参考文献量7
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