Article(id=1198628673407512821, tenantId=1146029695717560320, journalId=1189982191388893191, issueId=1198628666650493481, articleNumber=null, orderNo=null, doi=10.16438/j.0513-4870.2022-1082, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=research-article, receivedDate=1664380800000, receivedDateStr=2022-09-29, revisedDate=1674057600000, revisedDateStr=2023-01-19, acceptedDate=null, acceptedDateStr=null, onlineDate=1763704945184, onlineDateStr=2025-11-21, pubDate=1689091200000, pubDateStr=2023-07-12, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1763704945184, onlineIssueDateStr=2025-11-21, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1763704945184, creator=13701087609, updateTime=1763704945184, updator=13701087609, issue=Issue{id=1198628666650493481, tenantId=1146029695717560320, journalId=1189982191388893191, year='2023', volume='58', issue='7', pageStart='0', pageEnd='1980', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1763704943573, creator=13701087609, updateTime=1766137716668, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1208832456644490122, tenantId=1146029695717560320, journalId=1189982191388893191, issueId=1198628666650493481, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1208832456644490123, tenantId=1146029695717560320, journalId=1189982191388893191, issueId=1198628666650493481, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=1780, endPage=1789, ext={EN=ArticleExt(id=1198628673797583104, articleId=1198628673407512821, tenantId=1146029695717560320, journalId=1189982191388893191, language=EN, title=Effect of
Scutellaria baicalensis Georgi on metabolism in RSV infection mice based on metabolomics, columnId=1190335348761793317, journalTitle=Acta Pharmaceutica Sinica, columnName=Original Articles, runingTitle=null, highlight=null, articleAbstract=
This study, aiming at finding biomarkers which can assist in the diagnosis of respiratory syncytial virus (RSV) pneumonia and analyzing the metabolic pathways of anti-RSV activity of Scutellaria baicalensis Georgi (SG)., explores the improvement effect of SG on mice models infected by RSV with the metabolomics technology based on UPLC-Q-Exactive HF X-MS. Mice models affected by RSV are established by nasal drip method and the changes of body weight, rectal temperature and pathological damage of lung tissue are evaluated. The lung tissue samples of mice in each group are collected and analyzed by UPLC-Q-Exactive HF X-MS. The differential metabolites of SG drug intervention are explored by metabolomics technology, and the metabolic pathways regulated by SG are analyzed. The results show that SG can significantly improve the pathological state of the lung tissue of the mice and make its body weight and rectal temperature tend to be normal. In the lung tissue samples, 46 biomarkers, such as guanine, L-asparagine, and arachidonic acid, are screened for disease development in RSV model mice. SG improved RSV infection by recalling 22 potential biomarkers, such as uric acid, arachidonic acid, and alanine. The 22 potential markers mainly involved 11 abnormal metabolic pathways, including phenylalanine, tyrosine, and tryptophan biosynthesis, and arachidonic acid metabolism, alanine, aspartic acid and glutamate metabolism are closely related to the five metabolic pathways. SG improves RSV-infected mice mainly by regulating amino acids, lipids, cofactors and vitamins and nucleotide metabolites. All animal experiments were conducted under the guidance and approval of the Animal Ethics Review Committee of Shandong University of Traditional Chinese Medicine. (approval number: SDUTCM20210311001).
, correspAuthors=Bo-nian ZHAO, authorNote=null, correspAuthorsNote=null, copyrightStatement=Copyright ©2023 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=Ming-qian JIA, Yan GAO, Lu LIU, Lu-lan MA, Xi CHEN, Yue ZHANG, Yang-hai WANG, Bo-nian ZHAO), CN=ArticleExt(id=1198628675789877615, articleId=1198628673407512821, tenantId=1146029695717560320, journalId=1189982191388893191, language=CN, title=基于代谢组学的黄芩抗RSV肺炎作用机制研究, columnId=1190335348896011050, journalTitle=药学学报, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=
本研究基于UPLC-Q-Exactive HF X-MS的代谢组学技术探讨黄芩(Scutellaria baicalensis Georgi, SG) 对呼吸道合胞病毒(respiratory syncytial virus, RSV) 感染模型小鼠的改善作用, 寻找可协助RSV肺炎诊断的生物标记物, 分析黄芩发挥抗RSV活性的代谢途径。采用滴鼻感染RSV方法建立RSV肺炎小鼠模型, 评价小鼠体重变化、肛温变化以及肺组织病理损伤。采集各组小鼠的肺组织样品, 进行UPLC-Q-Exactive HF X-MS分析, 通过代谢组学技术挖掘黄芩药物干预的差异性代谢物, 并对黄芩调控的代谢通路进行分析。结果表明, 黄芩能显著改善模型小鼠肺组织病理状态, 使模型小鼠体重、肛温趋于正常; 肺组织样本中, 筛选出RSV模型小鼠疾病发展的生物标志物鸟嘌呤、L-天冬酰胺、花生四烯酸等46个, 黄芩通过回调其中的尿酸、花生四烯酸、丙氨酸等22个潜在生物标志物发挥改善RSV感染作用, 22个潜在标志物主要涉及11条异常代谢通路, 其中与苯丙氨酸、酪氨酸和色氨酸生物合成, 花生四烯酸代谢, 丙氨酸、天冬氨酸和谷氨酸代谢等5条代谢通路密切相关。黄芩主要通过调节氨基酸类、脂类、辅因子和维生素以及核苷酸类代谢物发挥改善RSV感染小鼠的作用。所有动物实验均在山东中医药大学动物伦理审查委员会的指导和批准下进行(批准号: SDUTCM20210311001)。
, correspAuthors=赵渤年, authorNote=null, correspAuthorsNote=
, copyrightStatement=版权所有©《药学学报》编辑部2023, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=HNowGCYNv0bHaxPl/JRl+g==, magXml=MY2Gb0sYfwReHCGnmK0Ztw==, pdfUrl=null, pdf=iF5vf/QQFGNIkv+ivP5OCg==, pdfFileSize=4361282, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=+MHYW6o0Wa7y5Rn32Ixs4A==, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=4UpjYTK/U+9i9mPYwaxr3w==, mapNumber=null, authorCompany=null, fund=null, authors=null, authorsList=贾明倩, 高燕, 刘璐, 马露兰, 陈曦, 张悦, 王杨海, 赵渤年)}, authors=[Author(id=1198960140201324928, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1198628673407512821, 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=1198960140339736982, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1198628673407512821, authorId=1198960140201324928, language=EN, stringName=Ming-qian JIA, firstName=Ming-qian, middleName=null, lastName=JIA, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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8: 753-762., articleTitle=Transcriptomic analysis reveals novel mechanisms of SARS-CoV-2 infection in human lung cells, refAbstract=null)], funds=[Fund(id=1198960148011118683, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1198628673407512821, awardId=2017YFC1701501, language=CN, fundingSource=国家重点研发计划子课题(2017YFC1701501), fundOrder=null, country=null), Fund(id=1198960148115976293, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1198628673407512821, awardId=ZR2021LZY021, language=CN, fundingSource=山东省自然科学基金联合基金项目(ZR2021LZY021), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1198960139840614745, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1198628673407512821, xref=null, ext=[AuthorCompanyExt(id=1198960139865780572, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1198628673407512821, companyId=1198960139840614745, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1. College of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250355, China), AuthorCompanyExt(id=1198960139890946401, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1198628673407512821, companyId=1198960139840614745, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1.山东中医药大学药学院, 山东 济南 250355)]), AuthorCompany(id=1198960140025164139, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1198628673407512821, xref=null, ext=[AuthorCompanyExt(id=1198960140058718573, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1198628673407512821, companyId=1198960140025164139, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2. Institute of Innovation in Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250355, China), AuthorCompanyExt(id=1198960140075495793, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1198628673407512821, companyId=1198960140025164139, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2.山东中医药大学中医药创新研究院, 山东 济南 250355)])], figs=[ArticleFig(id=1198960145045746553, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1198628673407512821, language=EN, label=null, caption=null, figureFileSmall=96pmHeP2cxPdXwNJjKVrgg==, figureFileBig=SKdu/KvXtrGhJaBQNZjnBA==, tableContent=null), ArticleFig(id=1198960145179964291, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1198628673407512821, language=CN, label=Figure 1, caption=
Effects of SG on various indexes in RSV-infected mice. SG: Scutellaria baicalensis Georgi; RSV: Respiratory syncytial virus; Control: Control group; M: Model group; H: SG group. n = 6, $\bar{x}$ ± s. A: Body weight changes of mice in each group; B: Rectal temperature changes of mice in each group; C: Hematoxylin and eosin (H & E) pathological sections and histological scores of mouse lung in each group. Scale bar: 50 μm (200×). Red arrow: Alveolar septum; Black arrow: Inflammatory infiltration , figureFileSmall=96pmHeP2cxPdXwNJjKVrgg==, figureFileBig=SKdu/KvXtrGhJaBQNZjnBA==, tableContent=null), ArticleFig(id=1198960145356125080, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1198628673407512821, language=EN, label=null, caption=null, figureFileSmall=S+q4NLhyp/nJ9puNpWaKZw==, figureFileBig=gdP19cbSr40zECfoHRmZmQ==, tableContent=null), ArticleFig(id=1198960145460982690, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1198628673407512821, language=CN, label=Figure 2, caption=
Principal component analysis (PCA) results in quality control (QC) sample. A: Positive ion mode; B: Negative ion mode , figureFileSmall=S+q4NLhyp/nJ9puNpWaKZw==, figureFileBig=gdP19cbSr40zECfoHRmZmQ==, tableContent=null), ArticleFig(id=1198960145591006123, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1198628673407512821, language=EN, label=null, caption=null, figureFileSmall=/M+Vk224i7VX5/lIQ1e7Vw==, figureFileBig=kDsGUq2F+LlQNwivN3ir7g==, tableContent=null), ArticleFig(id=1198960145721029557, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1198628673407512821, language=CN, label=Figure 3, caption=
Total ion current diagram of Control, M and H groups in positive and negative ion modes. Positive ion mode: Control group (A), M group (B), and H group (C); Negative ion mode: Control group (D), M group (E), and H group (F) , figureFileSmall=/M+Vk224i7VX5/lIQ1e7Vw==, figureFileBig=kDsGUq2F+LlQNwivN3ir7g==, tableContent=null), ArticleFig(id=1198960145867830209, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1198628673407512821, language=EN, label=null, caption=null, figureFileSmall=p0f2dLI2z2sLJeIZK+mDCA==, figureFileBig=UnL2KkRWUpoiHXxUMiHvrA==, tableContent=null), ArticleFig(id=1198960146027213773, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1198628673407512821, language=CN, label=Figure 4, caption=
Orthogonal partial least-squares discrimination analysis (OPLS-DA) score map in positive (A) and negative (B) ion modes. C: Control group , figureFileSmall=p0f2dLI2z2sLJeIZK+mDCA==, figureFileBig=UnL2KkRWUpoiHXxUMiHvrA==, tableContent=null), ArticleFig(id=1198960146140459986, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1198628673407512821, language=EN, label=null, caption=null, figureFileSmall=9p6/Z2Xw6VohZcjT8xGPaQ==, figureFileBig=6NSM8E+PLMD/xSWmW5AqgQ==, tableContent=null), ArticleFig(id=1198960146224346071, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1198628673407512821, language=CN, label=Figure 5, caption=
The regulatory effect of SG on biomarkers. ΔP < 0.05, ΔΔP < 0.01, ΔΔΔP < 0.001 vs Model group. ADP: Adenosine diphosphate; UMP: Uridine monophosphate , figureFileSmall=9p6/Z2Xw6VohZcjT8xGPaQ==, figureFileBig=6NSM8E+PLMD/xSWmW5AqgQ==, tableContent=null), ArticleFig(id=1198960146304037857, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1198628673407512821, language=EN, label=null, caption=null, figureFileSmall=JMN7qTNt+TSfX9NIhsuBmw==, figureFileBig=oMOJlDUdLmtud2NaWQPztw==, tableContent=null), ArticleFig(id=1198960146429866984, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1198628673407512821, language=CN, label=Figure 6, caption=
Summary of metabolic pathway analysis of C vs M (A) and M vs H (B) , figureFileSmall=JMN7qTNt+TSfX9NIhsuBmw==, figureFileBig=oMOJlDUdLmtud2NaWQPztw==, tableContent=null), ArticleFig(id=1198960146559890419, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1198628673407512821, language=EN, label=null, caption=null, figureFileSmall=9RtlgXdismruiXgdxE9U1A==, figureFileBig=Oi4OuutkFIJMu9gJFioL6A==, tableContent=null), ArticleFig(id=1198960146664748027, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1198628673407512821, language=CN, label=Figure 7, caption=
Schematic diagram of metabolic pathway network of potential biomarkers of SG in treating RSV infected pneumonia. TCA cycle: Tricarboxylic acid cycle; COX: Cyclooxygenase; LOX: Lipoxygenase; CYP: Cytochrome; PGs: Prostaglandin; TX: Thromboxane; LTs: Leukotriene; HETEs: Hydroxy-eicosatetraenoic acid; EETs: Epoxyeicosatrienenoic acids; PRPP: 5-Phosphoribosyl 1-pyrophosphate; HGPRT: Hypoxanthine-guanine phosphoribosyl transferase; APRT: Adenine phosphoribosyl transferase; ATP: Adenosine triphosphate; GMP: Guanosine monophosphate; XMP: Xanthylic acid; IMP: Inosine monophosphate , figureFileSmall=9RtlgXdismruiXgdxE9U1A==, figureFileBig=Oi4OuutkFIJMu9gJFioL6A==, tableContent=null), ArticleFig(id=1198960146824130566, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1198628673407512821, language=EN, label=null, caption=null, figureFileSmall=null, figureFileBig=null, tableContent=
| Group | Pre | Mode | R2X/cum | R2Y/cum | Q2/cum |
| C vs M vs H | 1+2+0 | Positive | 0.312 | 0.991 | 0.838 |
| C vs M vs H | 1+3+0 | Negative | 0.410 | 0.995 | 0.796 |
), ArticleFig(id=1198960146962542607, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1198628673407512821, language=CN, label=Table 1, caption=
Orthogonal partial least-squares discrimination analysis (OPLS-DA) model validation parameters. C: Control group; M: Model group; H: SG group. Pre: Principal components; R2X: Model (for X variable data set) interpretability; R2Y: Model (for Y variable data set) interpretability; Q2: Model predictability
, figureFileSmall=null, figureFileBig=null, tableContent=
| Group | Pre | Mode | R2X/cum | R2Y/cum | Q2/cum |
| C vs M vs H | 1+2+0 | Positive | 0.312 | 0.991 | 0.838 |
| C vs M vs H | 1+3+0 | Negative | 0.410 | 0.995 | 0.796 |
), ArticleFig(id=1198960147092566039, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1198628673407512821, language=EN, label=null, caption=null, figureFileSmall=null, figureFileBig=null, tableContent=
| No. | Metabolite | Formula | m/z | tR/min | ESI mod | VIP | Trend |
| C/M |
| 1 | Guanine | C5H5N5O | 176.103 | 1.48 | + | 2.068 | ↓*** |
| 2 | Thymidine | C10H14N2O5 | 223.028 | 10.21 | - | 2.026 | ↑* |
| 3 | L-Homophenylalanine | C10H13NO2 | 180.102 | 11.32 | + | 1.936 | ↑** |
| 4 | Thymine | C5H6N2O2 | 127.050 | 4.67 | + | 1.687 | ↓** |
| 5 | Taurocholic acid | C26H45NO7S | 516.297 | 10.86 | + | 1.674 | ↑** |
| 6 | Uric acid | C5H4N4O3 | 169.035 | 1.66 | + | 1.603 | ↑** |
| 7 | ADP | C10H15N5O10P2 | 428.036 | 1.66 | + | 1.469 | ↑* |
| 8 | Adenosine diphosphate ribose | C15H23N5O14P2 | 560.081 | 2.21 | + | 1.415 | ↑* |
| 9 | Imidazol-5-yl-pyruvate | C6H6N2O3 | 155.043 | 1.40 | + | 1.413 | ↑** |
| 10 | Pyrimidodiazepine | C9H11N5O2 | 221.092 | 5.76 | + | 1.413 | ↓* |
| 11 | Dehydroepiandrosterone | C19H28O2 | 288.289 | 12.59 | + | 1.394 | ↓* |
| 12 | 6-Phosphogluconic acid | C6H13O10P | 259.169 | 12.63 | + | 1.370 | ↑** |
| 13 | Pyrrolidonecarboxylic acid | C5H7NO3 | 130.050 | 7.51 | + | 1.358 | ↑** |
| 14 | N6-(L-1, 3-Dicarboxypropyl)-L-lysine | C11H20N2O6 | 277.139 | 1.40 | + | 1.340 | ↑** |
| 15 | D-Allulose 6-phosphate | C6H13O9P | 261.058 | 1.71 | + | 1.337 | ↑** |
| 16 | Ciliatine | C2H8NO3P | 125.986 | 1.25 | + | 1.325 | ↑** |
| 17 | Choline | C5H14NO | 104.106 | 3.48 | + | 1.316 | ↑** |
| 18 | Argininosuccinic acid | C10H18N4O6 | 291.129 | 1.46 | + | 1.296 | ↑* |
| 19 | L-Tyrosine | C9H11NO3 | 182.081 | 3.80 | + | 1.292 | ↓* |
| 20 | Citrulline | C6H13N3O3 | 176.103 | 1.48 | + | 1.278 | ↑*** |
| 21 | L-Asparagine | C4H8N2O3 | 133.061 | 1.41 | + | 1.255 | ↑** |
| 22 | L-Glutamine | C5H10N2O3 | 147.076 | 1.42 | + | 1.253 | ↑** |
| 23 | Myristic acid | C14H28O2 | 229.180 | 12.34 | + | 1.252 | ↑** |
| 24 | L-Isoleucine | C6H13NO2 | 132.066 | 3.71 | + | 1.241 | ↑** |
| 25 | D-Glucose 1-phosphate | C6H13O9P | 261.037 | 1.49 | + | 1.239 | ↑** |
| 26 | Glutathione | C10H17N3O6S | 308.091 | 2.52 | + | 1.195 | ↑* |
| 27 | UMP | C9H13N2O9P | 325.043 | 2.35 | + | 1.193 | ↑** |
| 28 | Phosphorylcholine | C5H15NO4P | 184.073 | 1.42 | + | 1.183 | ↑** |
| 29 | Betaine | C5H11NO2 | 118.061 | 1.48 | + | 1.159 | ↑** |
| 30 | Dodecanoic acid | C12H24O2 | 199.976 | 0.74 | + | 1.146 | ↑* |
| 31 | Thiamine | C12H17N4OS | 265.112 | 1.45 | + | 1.130 | ↑** |
| 32 | CMP | C9H14N3O8P | 324.059 | 1.64 | + | 1.123 | ↑** |
| 33 | Phenol | C6H6O | 94.046 | 7.93 | + | 1.117 | ↑* |
| 34 | 1, 1-Dimethylbiguanide | C4H11N5 | 129.103 | 1.26 | + | 1.114 | ↑** |
| 35 | O-Phosphoethanolamine | C2H8NO4P | 141.959 | 1.04 | + | 1.111 | ↑* |
| 36 | L-Lysine | C6H14N2O2 | 147.113 | 1.26 | + | 1.109 | ↑** |
| 37 | L-Glutamic acid | C5H9NO4 | 148.059 | 1.48 | + | 1.106 | ↑** |
| 38 | Citicoline | C14H26N4O11P2 | 489.113 | 1.50 | + | 1.106 | ↑* |
| 39 | Pyridoxamine | C8H12N2O2 | 169.095 | 1.28 | + | 1.099 | ↑** |
| 40 | Acetylcholine | C7H16NO2 | 146.117 | 1.59 | + | 1.090 | ↑** |
| 41 | D-4-Phosphopantothenate | C9H18NO8P | 299.081 | 5.25 | + | 1.079 | ↑* |
| 42 | Norepinephrine | C8H11NO3 | 169.977 | 2.24 | + | 1.077 | ↑* |
| 43 | Stearidonic acid | C18H28O2 | 277.216 | 12.07 | + | 1.067 | ↑** |
| 44 | Caffeine | C8H10N4O2 | 195.085 | 12.93 | + | 1.055 | ↑* |
| 45 | AICAR | C9H15N4O8P | 339.069 | 2.38 | + | 1.043 | ↑** |
| 46 | 1-Methylhistamine | C6H11N3 | 126.103 | 1.24 | + | 1.038 | ↑** |
), ArticleFig(id=1198960147222589473, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1198628673407512821, language=CN, label=Table 2, caption=
RSV-infected mice lung tissue biomarkers. *P < 0.05, **P < 0.01, ***P < 0.001 vs Control group. ↓: Down; ↑: Up; VIP: Variable importance for the projection; ESI: Electrospray ionization; ADP: Adenosine diphosphate; UMP: Uridine monophosphate; CMP: Cytidine monophosphate
, figureFileSmall=null, figureFileBig=null, tableContent=
| No. | Metabolite | Formula | m/z | tR/min | ESI mod | VIP | Trend |
| C/M |
| 1 | Guanine | C5H5N5O | 176.103 | 1.48 | + | 2.068 | ↓*** |
| 2 | Thymidine | C10H14N2O5 | 223.028 | 10.21 | - | 2.026 | ↑* |
| 3 | L-Homophenylalanine | C10H13NO2 | 180.102 | 11.32 | + | 1.936 | ↑** |
| 4 | Thymine | C5H6N2O2 | 127.050 | 4.67 | + | 1.687 | ↓** |
| 5 | Taurocholic acid | C26H45NO7S | 516.297 | 10.86 | + | 1.674 | ↑** |
| 6 | Uric acid | C5H4N4O3 | 169.035 | 1.66 | + | 1.603 | ↑** |
| 7 | ADP | C10H15N5O10P2 | 428.036 | 1.66 | + | 1.469 | ↑* |
| 8 | Adenosine diphosphate ribose | C15H23N5O14P2 | 560.081 | 2.21 | + | 1.415 | ↑* |
| 9 | Imidazol-5-yl-pyruvate | C6H6N2O3 | 155.043 | 1.40 | + | 1.413 | ↑** |
| 10 | Pyrimidodiazepine | C9H11N5O2 | 221.092 | 5.76 | + | 1.413 | ↓* |
| 11 | Dehydroepiandrosterone | C19H28O2 | 288.289 | 12.59 | + | 1.394 | ↓* |
| 12 | 6-Phosphogluconic acid | C6H13O10P | 259.169 | 12.63 | + | 1.370 | ↑** |
| 13 | Pyrrolidonecarboxylic acid | C5H7NO3 | 130.050 | 7.51 | + | 1.358 | ↑** |
| 14 | N6-(L-1, 3-Dicarboxypropyl)-L-lysine | C11H20N2O6 | 277.139 | 1.40 | + | 1.340 | ↑** |
| 15 | D-Allulose 6-phosphate | C6H13O9P | 261.058 | 1.71 | + | 1.337 | ↑** |
| 16 | Ciliatine | C2H8NO3P | 125.986 | 1.25 | + | 1.325 | ↑** |
| 17 | Choline | C5H14NO | 104.106 | 3.48 | + | 1.316 | ↑** |
| 18 | Argininosuccinic acid | C10H18N4O6 | 291.129 | 1.46 | + | 1.296 | ↑* |
| 19 | L-Tyrosine | C9H11NO3 | 182.081 | 3.80 | + | 1.292 | ↓* |
| 20 | Citrulline | C6H13N3O3 | 176.103 | 1.48 | + | 1.278 | ↑*** |
| 21 | L-Asparagine | C4H8N2O3 | 133.061 | 1.41 | + | 1.255 | ↑** |
| 22 | L-Glutamine | C5H10N2O3 | 147.076 | 1.42 | + | 1.253 | ↑** |
| 23 | Myristic acid | C14H28O2 | 229.180 | 12.34 | + | 1.252 | ↑** |
| 24 | L-Isoleucine | C6H13NO2 | 132.066 | 3.71 | + | 1.241 | ↑** |
| 25 | D-Glucose 1-phosphate | C6H13O9P | 261.037 | 1.49 | + | 1.239 | ↑** |
| 26 | Glutathione | C10H17N3O6S | 308.091 | 2.52 | + | 1.195 | ↑* |
| 27 | UMP | C9H13N2O9P | 325.043 | 2.35 | + | 1.193 | ↑** |
| 28 | Phosphorylcholine | C5H15NO4P | 184.073 | 1.42 | + | 1.183 | ↑** |
| 29 | Betaine | C5H11NO2 | 118.061 | 1.48 | + | 1.159 | ↑** |
| 30 | Dodecanoic acid | C12H24O2 | 199.976 | 0.74 | + | 1.146 | ↑* |
| 31 | Thiamine | C12H17N4OS | 265.112 | 1.45 | + | 1.130 | ↑** |
| 32 | CMP | C9H14N3O8P | 324.059 | 1.64 | + | 1.123 | ↑** |
| 33 | Phenol | C6H6O | 94.046 | 7.93 | + | 1.117 | ↑* |
| 34 | 1, 1-Dimethylbiguanide | C4H11N5 | 129.103 | 1.26 | + | 1.114 | ↑** |
| 35 | O-Phosphoethanolamine | C2H8NO4P | 141.959 | 1.04 | + | 1.111 | ↑* |
| 36 | L-Lysine | C6H14N2O2 | 147.113 | 1.26 | + | 1.109 | ↑** |
| 37 | L-Glutamic acid | C5H9NO4 | 148.059 | 1.48 | + | 1.106 | ↑** |
| 38 | Citicoline | C14H26N4O11P2 | 489.113 | 1.50 | + | 1.106 | ↑* |
| 39 | Pyridoxamine | C8H12N2O2 | 169.095 | 1.28 | + | 1.099 | ↑** |
| 40 | Acetylcholine | C7H16NO2 | 146.117 | 1.59 | + | 1.090 | ↑** |
| 41 | D-4-Phosphopantothenate | C9H18NO8P | 299.081 | 5.25 | + | 1.079 | ↑* |
| 42 | Norepinephrine | C8H11NO3 | 169.977 | 2.24 | + | 1.077 | ↑* |
| 43 | Stearidonic acid | C18H28O2 | 277.216 | 12.07 | + | 1.067 | ↑** |
| 44 | Caffeine | C8H10N4O2 | 195.085 | 12.93 | + | 1.055 | ↑* |
| 45 | AICAR | C9H15N4O8P | 339.069 | 2.38 | + | 1.043 | ↑** |
| 46 | 1-Methylhistamine | C6H11N3 | 126.103 | 1.24 | + | 1.038 | ↑** |
), ArticleFig(id=1198960147361001516, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1198628673407512821, language=EN, label=null, caption=null, figureFileSmall=null, figureFileBig=null, tableContent=
| No. | Pathway name | Total | Hits | Raw P | FDR | Impact |
| 1 | D-Glutamine and D-glutamate metabolism | 5 | 2 | 0.002 | 0.015 | 0.500 |
| 2 | Phenylalanine, tyrosine and tryptophan biosynthesis | 8 | 2 | 0.005 | 0.858 | 0.500 |
| 3 | Arginine biosynthesis | 9 | 2 | 0.006 | 0.015 | 0.462 |
| 4 | Alanine, aspartate and glutamate metabolism | 11 | 3 | 0.000 | 0.077 | 0.333 |
| 5 | Glutathione metabolism | 13 | 3 | 0.001 | 0.947 | 0.276 |
| 6 | Tyrosine metabolism | 12 | 2 | 0.011 | 1.000 | 0.228 |
| 7 | Pyrimidine metabolism | 23 | 4 | 0.000 | 0.051 | 0.191 |
| 8 | Starch and sucrose metabolism | 7 | 2 | 0.004 | 1.000 | 0.162 |
| 9 | Purine metabolism | 38 | 2 | 0.097 | 0.080 | 0.124 |
| 10 | Pentose phosphate pathway | 12 | 3 | 0.001 | 1.000 | 0.120 |
), ArticleFig(id=1198960147499413560, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1198628673407512821, language=CN, label=Table 3, caption=
Result of metabolic pathway analysis of C vs M. Total: The total number of metabolites in the target metabolic pathway; Hits: Number of differential metabolites in target metabolic pathways; Raw P: The P value for the hypergeometric distribution test; FDR: The false positive corrected value; Impact: The metabolic pathway impact value
, figureFileSmall=null, figureFileBig=null, tableContent=
| No. | Pathway name | Total | Hits | Raw P | FDR | Impact |
| 1 | D-Glutamine and D-glutamate metabolism | 5 | 2 | 0.002 | 0.015 | 0.500 |
| 2 | Phenylalanine, tyrosine and tryptophan biosynthesis | 8 | 2 | 0.005 | 0.858 | 0.500 |
| 3 | Arginine biosynthesis | 9 | 2 | 0.006 | 0.015 | 0.462 |
| 4 | Alanine, aspartate and glutamate metabolism | 11 | 3 | 0.000 | 0.077 | 0.333 |
| 5 | Glutathione metabolism | 13 | 3 | 0.001 | 0.947 | 0.276 |
| 6 | Tyrosine metabolism | 12 | 2 | 0.011 | 1.000 | 0.228 |
| 7 | Pyrimidine metabolism | 23 | 4 | 0.000 | 0.051 | 0.191 |
| 8 | Starch and sucrose metabolism | 7 | 2 | 0.004 | 1.000 | 0.162 |
| 9 | Purine metabolism | 38 | 2 | 0.097 | 0.080 | 0.124 |
| 10 | Pentose phosphate pathway | 12 | 3 | 0.001 | 1.000 | 0.120 |
), ArticleFig(id=1198960147646214210, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1198628673407512821, language=EN, label=null, caption=null, figureFileSmall=null, figureFileBig=null, tableContent=
| No. | Pathway name | Raw P | -lgP | Impact | Super pathway |
| 1 | Phenylalanine, tyrosine and tryptophan biosynthesis | 0.047 | 1.328 | 0.500 | Amino acid |
| 2 | Arachidonic acid metabolism | 0.355 | 0.450 | 0.333 | Lipid |
| 3 | Histidine metabolism | 0.288 | 0.541 | 0.224 | Amino acid |
| 4 | Tyrosine metabolism | 0.015 | 1.834 | 0.189 | Amino acid |
| 5 | Alanine, aspartate and glutamate metabolism | 0.401 | 0.397 | 0.140 | Amino acid |
| 6 | Pyrimidine metabolism | 0.077 | 1.113 | 0.097 | Nucleotide |
| 7 | Purine metabolism | 0.305 | 0.515 | 0.086 | Nucleotide |
| 8 | Lysine degradation | 0.261 | 0.583 | 0.047 | Amino acid |
| 9 | Steroid hormone biosynthesis | 0.613 | 0.212 | 0.041 | Lipid |
| 10 | Primary bile acid biosynthesis | 0.041 | 1.388 | 0.035 | Lipid |
| 11 | Pantothenate and CoA biosynthesis | 0.370 | 0.431 | 0.034 | Cofactors and vitamin |
), ArticleFig(id=1198960147776237640, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1198628673407512821, language=CN, label=Table 4, caption=
The main metabolic pathway and belonging of different metabolites of M vs H. -lgP: Negative natural logarithm of P
, figureFileSmall=null, figureFileBig=null, tableContent=
| No. | Pathway name | Raw P | -lgP | Impact | Super pathway |
| 1 | Phenylalanine, tyrosine and tryptophan biosynthesis | 0.047 | 1.328 | 0.500 | Amino acid |
| 2 | Arachidonic acid metabolism | 0.355 | 0.450 | 0.333 | Lipid |
| 3 | Histidine metabolism | 0.288 | 0.541 | 0.224 | Amino acid |
| 4 | Tyrosine metabolism | 0.015 | 1.834 | 0.189 | Amino acid |
| 5 | Alanine, aspartate and glutamate metabolism | 0.401 | 0.397 | 0.140 | Amino acid |
| 6 | Pyrimidine metabolism | 0.077 | 1.113 | 0.097 | Nucleotide |
| 7 | Purine metabolism | 0.305 | 0.515 | 0.086 | Nucleotide |
| 8 | Lysine degradation | 0.261 | 0.583 | 0.047 | Amino acid |
| 9 | Steroid hormone biosynthesis | 0.613 | 0.212 | 0.041 | Lipid |
| 10 | Primary bile acid biosynthesis | 0.041 | 1.388 | 0.035 | Lipid |
| 11 | Pantothenate and CoA biosynthesis | 0.370 | 0.431 | 0.034 | Cofactors and vitamin |
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