Article(id=1222469637653123725, tenantId=1146029695717560320, journalId=1189982191388893191, issueId=1222469634733891832, articleNumber=null, orderNo=null, doi=10.16438/j.0513-4870.2019-0310, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=research-article, receivedDate=1555862400000, receivedDateStr=2019-04-22, revisedDate=1557936000000, revisedDateStr=2019-05-16, acceptedDate=null, acceptedDateStr=null, onlineDate=1769389074004, onlineDateStr=2026-01-26, pubDate=1565539200000, pubDateStr=2019-08-12, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769389074004, onlineIssueDateStr=2026-01-26, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769389074003, creator=13701087609, updateTime=1769389074003, updator=13701087609, issue=Issue{id=1222469634733891832, tenantId=1146029695717560320, journalId=1189982191388893191, year='2019', volume='54', issue='8', pageStart='1333', pageEnd='1530', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769389073308, creator=13701087609, updateTime=1769389491233, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1222471387697111522, tenantId=1146029695717560320, journalId=1189982191388893191, issueId=1222469634733891832, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1222471387697111523, tenantId=1146029695717560320, journalId=1189982191388893191, issueId=1222469634733891832, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=1476, endPage=1483, ext={EN=ArticleExt(id=1222469638181606043, articleId=1222469637653123725, tenantId=1146029695717560320, journalId=1189982191388893191, language=EN, title=Effects of Guilingji on Kidney-Yang deficiency syndrome in rats based on serum metabolomics, columnId=1190335348761793317, journalTitle=Acta Pharmaceutica Sinica, columnName=Original Articles, runingTitle=null, highlight=null, articleAbstract=
This study aimed to address the protective role of Guilingji (GLJ) against hydrocortisone-induced Kidney-Yang deficiency syndrome in rats with metabolites in serum, and explore its regulative approaches. KidneyYang deficiency syndrome rat model was constructed by high-dose injection of hydrocortisone. Rats were randomly divided into 6 groups:control group, model group, positive (Jinkui Shenqi Wan) group and low, medium, or highdose group of GLJ for continuous administration over 30 days. The efficacy of GLJ was evaluated with traditional pharmacodynamic indicators (body weight, behavioral indicators, and biochemical parameters) after the model was replicated successfully. Animal experimentation was approved according to the Committee on the Ethics of Animal Experiments of Shanxi University. Serum metabolic profiles obtained by UHPLC-Q Exactive Orbitrap-MS were used to explore metabolic regulation mechanism of GLJ. The results showed that GLJ could significantly improve Kidney-Yang deficiency syndrome. Pathway analysis showed that leucine-isoleucine metabolism, ether ester metabolism, and bile acid metabolism were the main pathways, with the main mechanism of action involving energy balance, intestinal homeostasis and immune function.
, correspAuthors=Xue-mei QIN, authorNote=null, correspAuthorsNote=null, copyrightStatement=Copyright ©2019 Acta Pharmaceutica Sinica. All rights reserved., copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=null, fund=null, authors=null, authorsList=Ke DU, Xiao-xia GAO, Yan FENG, Bin ZHANG, Pei-yi Wang, Xue-mei QIN), CN=ArticleExt(id=1222469640282952492, articleId=1222469637653123725, tenantId=1146029695717560320, journalId=1189982191388893191, language=CN, title=基于血清代谢组学的龟龄集改善大鼠肾阳虚证作用研究, columnId=1190335348896011050, journalTitle=药学学报, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=
分析龟龄集(Guilingji,GLJ)对氢化可的松致肾阳虚证大鼠血清内源性代谢物紊乱的调控作用,明确其发挥药效的代谢调控通路。以大剂量注射氢化可的松复制大鼠肾阳虚证模型。将大鼠随机分为对照组、模型组、阳性药(金匮肾气丸)组和龟龄集低、中、高剂量组,连续给药30天。利用传统药效学指标(体质量、行为学、生化指标)评价龟龄集药效。动物实验获得山西大学伦理委员会的批准。采用基于UHPLC-Q Exactive Orbitrap-MS代谢组学方法研究血清的整体代谢轮廓,分析龟龄集改善肾阳虚证的代谢调控机制。结果显示,龟龄集可显著改善肾阳虚证;通路分析显示亮氨酸-异亮氨酸代谢、醚酯代谢、胆汁酸代谢为其改善肾阳虚证的主要途径;龟龄集对肾阳虚证改善作用的主要效应机制涉及其对能量平衡、肠道稳态和免疫功能的调节作用。
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, copyrightStatement=版权所有©《药学学报》编辑部2019, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=x/t/UoyoeZhRg3DPOBgr1A==, magXml=MYAuHvRcmVLyvnAIeXf6iA==, pdfUrl=null, pdf=QIbwHNM/dq7ZbQb8VzHDBA==, pdfFileSize=689406, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=pT+4XGfQQT6YIw1uEW7XMQ==, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=duxtYmTQDipbuTCZPgyaZw==, mapNumber=null, authorCompany=null, fund=null, authors=null, authorsList=杜珂, 高晓霞, 冯彦, 张斌, 王佩义, 秦雪梅)}, authors=[Author(id=1222469640937263980, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1222469637653123725, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=null, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1222469641075676025, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1222469637653123725, authorId=1222469640937263980, language=EN, stringName=Ke DU, firstName=Ke, middleName=null, lastName=DU, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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7: e48950., articleTitle=Prevention of acute kidney injury by tauroursodeoxycholic acid in rat and cell culture models, refAbstract=null)], funds=[Fund(id=1222469646108840172, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1222469637653123725, awardId=201603D3113006, language=CN, fundingSource=山西省科技重点研发计划(201603D3113006), fundOrder=null, country=null), Fund(id=1222469646184337647, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1222469637653123725, awardId=201605D111004, language=CN, fundingSource=山西省重点实验室项目(201605D111004), fundOrder=null, country=null), Fund(id=1222469646268223731, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1222469637653123725, awardId=201605D131045-18, language=CN, fundingSource=山西省科技创新重点团队(201605D131045-18), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1222469640547193669, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1222469637653123725, xref=null, ext=[AuthorCompanyExt(id=1222469640555582278, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1222469637653123725, companyId=1222469640547193669, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1. Modern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan 030006, China), AuthorCompanyExt(id=1222469640580748103, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1222469637653123725, companyId=1222469640547193669, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1.山西大学中医药现代研究中心, 山西 太原 030006)]), AuthorCompany(id=1222469640693994321, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1222469637653123725, xref=null, ext=[AuthorCompanyExt(id=1222469640702382929, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1222469637653123725, companyId=1222469640693994321, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2. College of Chemistry and Chemical Engineering, Shanxi University, Taiyuan 030006, China), AuthorCompanyExt(id=1222469640710771538, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1222469637653123725, companyId=1222469640693994321, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2.山西大学化学化工学院, 山西 太原 030006)]), AuthorCompany(id=1222469640786269020, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1222469637653123725, xref=null, ext=[AuthorCompanyExt(id=1222469640794657629, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1222469637653123725, companyId=1222469640786269020, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=3. Shanxi Guangyuyuan Traditional Chinese Medicine Co., Ltd., Taigu 030800, China), AuthorCompanyExt(id=1222469640798851933, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1222469637653123725, companyId=1222469640786269020, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=3.山西广誉远国药有限公司, 山西 太谷 030800)])], figs=[ArticleFig(id=1222469644137517159, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1222469637653123725, language=EN, label=null, caption=null, figureFileSmall=/5evav1U/tBXE2KHauH7Zg==, figureFileBig=pT+4XGfQQT6YIw1uEW7XMQ==, tableContent=null), ArticleFig(id=1222469644246569072, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1222469637653123725, language=CN, label=Figure 1, caption=
The data of rats' weight of control (CON), model (MOD), low-dose Guilingji (GLJL), medium-dose Guilingji (GLJM), high-dose Guilingji (GLJH), Jinkui Shenqi Wan (JGSQW). The trend of rats' weight in 30 days (A); weight of rats on 20 day (B); weight of rats on 30 day (C). $\bar{x}\pm s$, n = 6. *P < 0.05, **P < 0.01 vs CON; #P < 0.05, ##P < 0.01 vs MOD , figureFileSmall=/5evav1U/tBXE2KHauH7Zg==, figureFileBig=pT+4XGfQQT6YIw1uEW7XMQ==, tableContent=null), ArticleFig(id=1222469644481450115, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1222469637653123725, language=EN, label=null, caption=null, figureFileSmall=QAjbOn1hWqBxBlTiZe+NAw==, figureFileBig=5BCZKCfcAKLsnG0Htg5Pqg==, tableContent=null), ArticleFig(id=1222469644569530506, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1222469637653123725, language=CN, label=Figure 2, caption=
The numbers of crossing (A) and rearing (B) of CON, MOD, GLJL, GLJM, GLJH, JGSQW in open field test. $\bar{x}\pm s$, n = 6. *P < 0.05, **P < 0.01 vs CON; #P < 0.05 vs MOD , figureFileSmall=QAjbOn1hWqBxBlTiZe+NAw==, figureFileBig=5BCZKCfcAKLsnG0Htg5Pqg==, tableContent=null), ArticleFig(id=1222469644653416591, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1222469637653123725, language=EN, label=null, caption=null, figureFileSmall=wGvuUjsMyrNl2Q6I5Zdxgg==, figureFileBig=X35qe60oN9EnM0dYNIAhlQ==, tableContent=null), ArticleFig(id=1222469644758274201, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1222469637653123725, language=CN, label=Figure 3, caption=
Contents of corticosterone (CORT, A), thyroxine4 (T4, B) and testosterone (T, C) of CON, MOD, GLJL, GLJM, GLJH, JGSQW. $\bar{x}\pm s$, n = 6. *P < 0.05 vs CON; #P < 0.05, ##P < 0.01 vs MOD , figureFileSmall=wGvuUjsMyrNl2Q6I5Zdxgg==, figureFileBig=X35qe60oN9EnM0dYNIAhlQ==, tableContent=null), ArticleFig(id=1222469644854743197, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1222469637653123725, language=EN, label=null, caption=null, figureFileSmall=TFRq1/pLCtwUtDtOEolSzA==, figureFileBig=J1M6nBg4Hlr0UFD3K+QVhA==, tableContent=null), ArticleFig(id=1222469644967989413, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1222469637653123725, language=CN, label=Figure 4, caption=
PCA scores plots, PLS-DA scores plots of rat serum from CON, MOD and GLJL (A), permutation test form PLS-DA (B); PLS-DA scores plots (C) of rat serum from CON, MOD and GLJM (C), permutation test form PLS-DA (D); PLS-DA scores plots (E) of rat serum from CON, MOD and GLJH (E), permutation test form PLS-DA (F); PLS-DA scores plots (G) of rat serum from CON, MOD and JGSQW (G), permutation test form PLS-DA (H); OPLS-DA scores plots (I) of rat serum from CON and MOD (I), S-plot form OPLS-DA (J) , figureFileSmall=TFRq1/pLCtwUtDtOEolSzA==, figureFileBig=J1M6nBg4Hlr0UFD3K+QVhA==, tableContent=null), ArticleFig(id=1222469645060264106, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1222469637653123725, language=EN, label=null, caption=null, figureFileSmall=IXjvT25XAXa+jY46LLg/uw==, figureFileBig=S4NnL1mxquf5tZXAnTOK4Q==, tableContent=null), ArticleFig(id=1222469645148344497, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1222469637653123725, language=CN, label=Figure 5, caption=
Heatmap of relative peak areas of metabolites in serum of rats. The ribbon -4 - 4 represents the relative content of the differential metabolites from low to high , figureFileSmall=IXjvT25XAXa+jY46LLg/uw==, figureFileBig=S4NnL1mxquf5tZXAnTOK4Q==, tableContent=null), ArticleFig(id=1222469645257396409, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1222469637653123725, language=EN, label=null, caption=null, figureFileSmall=brmib1SHV6TESMy3fA07dw==, figureFileBig=BAO1x6INvgVb510Jk5VGyA==, tableContent=null), ArticleFig(id=1222469645324505280, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1222469637653123725, language=CN, label=Figure 6, caption=
Pathways analysis of differential metabolites , figureFileSmall=brmib1SHV6TESMy3fA07dw==, figureFileBig=BAO1x6INvgVb510Jk5VGyA==, tableContent=null), ArticleFig(id=1222469645404197061, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1222469637653123725, language=EN, label=null, caption=null, figureFileSmall=vwGk03PSJemJvDAoGaSeNA==, figureFileBig=GUqTIepEE6I5wqNPykMf1w==, tableContent=null), ArticleFig(id=1222469645504860364, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1222469637653123725, language=CN, label=Figure 7, caption=
The metabolic network involved in MOD group and CON group; red fonts represent up-regulated metabolites, and blue fonts represent down-regulated metabolites in the MOD vs CON; purple fonts represent the metabolic pathways , figureFileSmall=vwGk03PSJemJvDAoGaSeNA==, figureFileBig=GUqTIepEE6I5wqNPykMf1w==, tableContent=null), ArticleFig(id=1222469645597135056, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1222469637653123725, language=EN, label=null, caption=null, figureFileSmall=null, figureFileBig=null, tableContent=
| No. | tR/min | RSD/% | m/z | RSD/% | RSD of relative peak areas/% | ion |
| 1 | 1.70 | 1.258 3 | 131.094 7 | 7.82×10-5 | 13.81 | M+H |
| 2 | 6.43 | 0.160 5 | 213.009 4 | 1.93×10-5 | 9.08 | M-H |
| 3 | 8.59 | 0.121 3 | 189.078 9 | 5.76×10-5 | 5.02 | M+H |
| 4 | 9.97 | 0.082 3 | 465.309 3 | 2.52×10-5 | 12.04 | M-H |
| 5 | 11.81 | 0.166 7 | 499.297 5 | 7.00×10-5 | 5.72 | M-H |
| 6 | 17.11 | 0.183 8 | 519.332 9 | 3.53×10-5 | 5.10 | M+H |
| 7 | 17.22 | 0.087 0 | 543.332 8 | 3.77×10-5 | 3.61 | M+Na |
| 8 | 17.52 | 0.129 1 | 399.334 7 | 8.57×10-5 | 8.52 | M+H |
| 9 | 18.55 | 0.063 0 | 521.348 6 | 4.64×10-5 | 10.20 | M+H |
| 10 | 26.90 | 0.145 9 | 281.271 8 | 1.45×10-5 | 4.56 | M+H |
), ArticleFig(id=1222469645685215446, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1222469637653123725, language=CN, label=Table 1, caption=
The stability of UHPLC-MS method using QC samples
, figureFileSmall=null, figureFileBig=null, tableContent=
| No. | tR/min | RSD/% | m/z | RSD/% | RSD of relative peak areas/% | ion |
| 1 | 1.70 | 1.258 3 | 131.094 7 | 7.82×10-5 | 13.81 | M+H |
| 2 | 6.43 | 0.160 5 | 213.009 4 | 1.93×10-5 | 9.08 | M-H |
| 3 | 8.59 | 0.121 3 | 189.078 9 | 5.76×10-5 | 5.02 | M+H |
| 4 | 9.97 | 0.082 3 | 465.309 3 | 2.52×10-5 | 12.04 | M-H |
| 5 | 11.81 | 0.166 7 | 499.297 5 | 7.00×10-5 | 5.72 | M-H |
| 6 | 17.11 | 0.183 8 | 519.332 9 | 3.53×10-5 | 5.10 | M+H |
| 7 | 17.22 | 0.087 0 | 543.332 8 | 3.77×10-5 | 3.61 | M+Na |
| 8 | 17.52 | 0.129 1 | 399.334 7 | 8.57×10-5 | 8.52 | M+H |
| 9 | 18.55 | 0.063 0 | 521.348 6 | 4.64×10-5 | 10.20 | M+H |
| 10 | 26.90 | 0.145 9 | 281.271 8 | 1.45×10-5 | 4.56 | M+H |
), ArticleFig(id=1222469645811044571, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1222469637653123725, language=EN, label=null, caption=null, figureFileSmall=null, figureFileBig=null, tableContent=
| Metabolite | tR/min | m/z | ion | MOD/CON | L/MOD | Ratio of L/% | M/MOD | Ratio of M/% | H/MOD | Ratio of H/% | J/MOD | Ratio of J/% | Metabolic pathway |
| L-Leucine | 1.699 | 131.094 7 | M+H | ↓* | ↑ | 56.95 | ↑* | 113.39 | ↑* | 84.07 | ↑* | 84.89 | Valine, leucine and isoleucine biosynthesis, degradation |
| Methyl indole-3-acetate | 8.587 | 189.078 9 | M+H | ↓* | ↑ | 57.23 | ↑ | 18.23 | ↑ | 57.41 | | | Tryptophan metabolism |
| 3-Indoxyl sulphate | 6.433 | 213.009 4 | M-H | ↑* | ↓ | 27.8 | | | | | | | Tryptophan metabolism |
| Cholic acid | 12.213 | 408.288 1 | M-H | ↑* | | | | | | | | | Primary bile acid biosynthesis |
| Glycocholic acid | 9.967 | 465.309 3 | M-H | ↓* | ↑ | 43.93 | | | ↑ | 90.64 | ↑ | 12.55 | Primary bile acid biosynthesis |
| Deoxycholic acid | 13.834 | 392.293 1 | M-H | ↑* | | | | | ↓ | 73.92 | ↓ | 37.33 | Primary bile acid biosynthesis |
| Taurochenodeoxycholic acid | 11.809 | 499.297 5 | M-H | ↓* | ↑ | 6.15 | ↑ | 3.49 | ↑ | 21.01 | ↑ | 6.45 | Primary bile acid biosynthesis |
| LPC (20:4) | 17.221 | 543.332 8 | M+Na | ↓* | ↑* | 103.91 | ↑* | 84.64 | ↑ | 55.14 | ↑* | 77.97 | Glycerophospholipid metabolism |
| LPC (18:2) | 17.108 | 519.332 9 | M+H | ↓* | ↑* | 134.09 | ↑ | 65.05 | ↑* | 88.94 | ↑ | 72.83 | Glycerophospholipid metabolism |
| LPC (17:0) | 19.9 | 509.348 5 | M+H | ↓* | ↑ | 19.88 | ↑ | 53.6 | ↑ | 14.85 | ↑ | 11.43 | Glycerophospholipid metabolism |
| LPE (18:0) | 16.546 | 481.316 9 | M+H | ↓* | ↑ | 19.71 | ↑ | 33.59 | ↑ | 32.38 | ↑ | 18.99 | Glycerophospholipid metabolism |
| LPC (16:1) | 15.968 | 493.316 9 | M+H | ↓* | ↑ | 95.99 | | | ↑ | 44.7 | | | Glycerophospholipid metabolism |
| PC (0:0/18:1) | 18.55 | 521.348 6 | M+H | ↓* | ↑* | 96.31 | ↑ | 16.27 | ↑ | 27.85 | ↑ | 8.27 | Glycerophospholipid metabolism |
| LPE (22:0) | 23.873 | 537.379 4 | M+H | ↓* | ↑ | 19.12 | ↑ | 62.83 | ↑ | 5.66 | ↑ | 5.05 | Glycerophospholipid metabolism |
| LPC (20:2) | 20.104 | 547.363 8 | M+H | ↓* | ↑ | 36.76 | ↑ | 25.16 | ↑ | 11.4 | | | Glycerophospholipid metabolism |
| LPC (20:0) | 25.884 | 551.395 | M+H | ↓* | ↑* | 5.71 | ↑ | 23.27 | ↑ | 2.9 | | | Glycerophospholipid metabolism |
| LPE (18:1) | 19.01 | 479.301 3 | M+H | ↑* | | | ↓ | 29.18 | ↓ | 64.48 | ↓ | 74.12 | Glycerophospholipid metabolism |
| PC (18:1(9Z)e/2:0) | 22.628 | 549.379 5 | M+H | ↓* | ↑ | 2.12 | ↑ | 26.15 | | | | | Ether lipid metabolism |
| Platelet-activating factor | 21.844 | 523.363 2 | M+H | ↓* | ↑* | 89.31 | ↑* | 71.96 | ↑* | 62.72 | ↑* | 65.39 | Ether lipid metabolism |
| Linoleyl carnitine | 16.621 | 423.334 6 | M+H | ↓* | ↑ | 29.2 | ↑ | 45.92 | ↑ | 25.54 | ↑ | 39.03 | Fatty acid metabolism |
| Palmitoylcarnitine | 17.524 | 399.334 7 | M+H | ↓* | ↑ | 66.02 | ↑ | 16.68 | ↑ | 53.87 | | | Fatty acid metabolism |
| Oleamide | 26.898 | 281.271 8 | M+H | ↑* | ↓ | 66.19 | ↓* | 100.21 | ↓* | 109.32 | ↓ | 30.01 | Fatty acid metabolism |
), ArticleFig(id=1222469645941068000, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1222469637653123725, language=CN, label=Table 2, caption=
Differential metabolites related to effects of GLJ on rats with Kidney-Yang deficiency. ↑ and ↓ represent higher and lower level; *P < 0.05; MOD/CON, MOD group compared with CON group; L/MOD, GLJL group compared with MOD group; M/MOD, GLJM group compared with MOD group; H/MOD, GLJH group compared with MOD group; J/MOD, JGSQW group compared with MOD group; Ratio of L, regulation ratio of GLJL group; Ratio of M, regulation ratio of GLJM group; Ratio of H, regulation ratio of GLJH group; Ratio of J, regulation ratio of JGSQW group
, figureFileSmall=null, figureFileBig=null, tableContent=
| Metabolite | tR/min | m/z | ion | MOD/CON | L/MOD | Ratio of L/% | M/MOD | Ratio of M/% | H/MOD | Ratio of H/% | J/MOD | Ratio of J/% | Metabolic pathway |
| L-Leucine | 1.699 | 131.094 7 | M+H | ↓* | ↑ | 56.95 | ↑* | 113.39 | ↑* | 84.07 | ↑* | 84.89 | Valine, leucine and isoleucine biosynthesis, degradation |
| Methyl indole-3-acetate | 8.587 | 189.078 9 | M+H | ↓* | ↑ | 57.23 | ↑ | 18.23 | ↑ | 57.41 | | | Tryptophan metabolism |
| 3-Indoxyl sulphate | 6.433 | 213.009 4 | M-H | ↑* | ↓ | 27.8 | | | | | | | Tryptophan metabolism |
| Cholic acid | 12.213 | 408.288 1 | M-H | ↑* | | | | | | | | | Primary bile acid biosynthesis |
| Glycocholic acid | 9.967 | 465.309 3 | M-H | ↓* | ↑ | 43.93 | | | ↑ | 90.64 | ↑ | 12.55 | Primary bile acid biosynthesis |
| Deoxycholic acid | 13.834 | 392.293 1 | M-H | ↑* | | | | | ↓ | 73.92 | ↓ | 37.33 | Primary bile acid biosynthesis |
| Taurochenodeoxycholic acid | 11.809 | 499.297 5 | M-H | ↓* | ↑ | 6.15 | ↑ | 3.49 | ↑ | 21.01 | ↑ | 6.45 | Primary bile acid biosynthesis |
| LPC (20:4) | 17.221 | 543.332 8 | M+Na | ↓* | ↑* | 103.91 | ↑* | 84.64 | ↑ | 55.14 | ↑* | 77.97 | Glycerophospholipid metabolism |
| LPC (18:2) | 17.108 | 519.332 9 | M+H | ↓* | ↑* | 134.09 | ↑ | 65.05 | ↑* | 88.94 | ↑ | 72.83 | Glycerophospholipid metabolism |
| LPC (17:0) | 19.9 | 509.348 5 | M+H | ↓* | ↑ | 19.88 | ↑ | 53.6 | ↑ | 14.85 | ↑ | 11.43 | Glycerophospholipid metabolism |
| LPE (18:0) | 16.546 | 481.316 9 | M+H | ↓* | ↑ | 19.71 | ↑ | 33.59 | ↑ | 32.38 | ↑ | 18.99 | Glycerophospholipid metabolism |
| LPC (16:1) | 15.968 | 493.316 9 | M+H | ↓* | ↑ | 95.99 | | | ↑ | 44.7 | | | Glycerophospholipid metabolism |
| PC (0:0/18:1) | 18.55 | 521.348 6 | M+H | ↓* | ↑* | 96.31 | ↑ | 16.27 | ↑ | 27.85 | ↑ | 8.27 | Glycerophospholipid metabolism |
| LPE (22:0) | 23.873 | 537.379 4 | M+H | ↓* | ↑ | 19.12 | ↑ | 62.83 | ↑ | 5.66 | ↑ | 5.05 | Glycerophospholipid metabolism |
| LPC (20:2) | 20.104 | 547.363 8 | M+H | ↓* | ↑ | 36.76 | ↑ | 25.16 | ↑ | 11.4 | | | Glycerophospholipid metabolism |
| LPC (20:0) | 25.884 | 551.395 | M+H | ↓* | ↑* | 5.71 | ↑ | 23.27 | ↑ | 2.9 | | | Glycerophospholipid metabolism |
| LPE (18:1) | 19.01 | 479.301 3 | M+H | ↑* | | | ↓ | 29.18 | ↓ | 64.48 | ↓ | 74.12 | Glycerophospholipid metabolism |
| PC (18:1(9Z)e/2:0) | 22.628 | 549.379 5 | M+H | ↓* | ↑ | 2.12 | ↑ | 26.15 | | | | | Ether lipid metabolism |
| Platelet-activating factor | 21.844 | 523.363 2 | M+H | ↓* | ↑* | 89.31 | ↑* | 71.96 | ↑* | 62.72 | ↑* | 65.39 | Ether lipid metabolism |
| Linoleyl carnitine | 16.621 | 423.334 6 | M+H | ↓* | ↑ | 29.2 | ↑ | 45.92 | ↑ | 25.54 | ↑ | 39.03 | Fatty acid metabolism |
| Palmitoylcarnitine | 17.524 | 399.334 7 | M+H | ↓* | ↑ | 66.02 | ↑ | 16.68 | ↑ | 53.87 | | | Fatty acid metabolism |
| Oleamide | 26.898 | 281.271 8 | M+H | ↑* | ↓ | 66.19 | ↓* | 100.21 | ↓* | 109.32 | ↓ | 30.01 | Fatty acid metabolism |
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