Article(id=1220655297362841706, tenantId=1146029695717560320, journalId=1189982191388893191, issueId=1220655289922143078, articleNumber=null, orderNo=null, doi=10.16438/j.0513-4870.2020-0265, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=research-article, receivedDate=1583510400000, receivedDateStr=2020-03-07, revisedDate=1584547200000, revisedDateStr=2020-03-19, acceptedDate=null, acceptedDateStr=null, onlineDate=1768956501570, onlineDateStr=2026-01-21, pubDate=1591891200000, pubDateStr=2020-06-12, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1768956501570, onlineIssueDateStr=2026-01-21, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1768956501570, creator=13701087609, updateTime=1768956501570, updator=13701087609, issue=Issue{id=1220655289922143078, tenantId=1146029695717560320, journalId=1189982191388893191, year='2020', volume='55', issue='6', pageStart='1073', pageEnd='1356', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1768956499796, creator=13701087609, updateTime=1768957205309, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1220658249112671213, tenantId=1146029695717560320, journalId=1189982191388893191, issueId=1220655289922143078, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1220658249112671214, tenantId=1146029695717560320, journalId=1189982191388893191, issueId=1220655289922143078, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=1091, endPage=1097, ext={EN=ArticleExt(id=1220655297971015810, articleId=1220655297362841706, tenantId=1146029695717560320, journalId=1189982191388893191, language=EN, title=Exploring the antiviral traditional Chinese medicine for the treatment of Coronavirus Disease 2019 based on the cytokine storm and Chinese medicine theory "damp toxin invading the lung", columnId=1220655291293680488, journalTitle=Acta Pharmaceutica Sinica, columnName=Anti Novel Coronavirus Drugs Researchs, runingTitle=null, highlight=null, articleAbstract=
More and more clinical evidence shows that patients with Coronavirus Disease 2019 (COVID-19) died due to severe complications such as acute respiratory distress syndrome and multiple organ failure due to the aggravation of the disease in the later period, and the main cause of the aggravation is "cytokine storm". There is no specific drug for the treatment of severe COVID-19 patients. Although western medicine can improve some symptoms, it leaves a large sequela, while traditional Chinese medicine plays an important role in this outbreak. In this paper, based on the clinical reported cytokines storm-related indicators, the traditional Chinese medicine systems pharmacology database and analysis platform (TCMSP) was used to mine and screen the traditional Chinese medicines acting on these cytokines based on the theory of "damp toxin invading the lung". It was found that 19 cytokines, including interleukin-6 (IL-6), tumor necrosis factor α (TNFα), granulocyte-macrophage colony stimulating factor (GM-CSF) and so on, were closely related to COVID-19, and 22 traditional Chinese medicines such as Ephedrae Herba, Glycyrrhizae Radix Et Rhizoma and Lonicerae Japonicae Flos acted on these cytokines, so as to provide certain reference for the reasonable choice of prescription and addition or modification of drugs for COVID-19 patients in the middle and late stage of Chinese medicine clinical treatment.
, correspAuthors=Wei-feng YAO, Wen-zheng JU, authorNote=null, correspAuthorsNote=null, copyrightStatement=Copyright ©2020 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=Yang ZONG, Wei-feng YAO, Wen-zheng JU), CN=ArticleExt(id=1220655299871035653, articleId=1220655297362841706, tenantId=1146029695717560320, journalId=1189982191388893191, language=CN, title=基于细胞因子风暴和中医“湿毒犯肺”理论挖掘抗新型冠状病毒肺炎中药, columnId=1209792669673452292, journalTitle=药学学报, columnName=聚焦抗新冠病毒药物研究, runingTitle=null, highlight=null, articleAbstract=
越来越多的临床证据表明,新型冠状病毒肺炎(COVID-19)患者后期由于病情加重,出现急性呼吸窘迫综合征和多器官衰竭等严重并发症而导致死亡,而加重病情的原因主要是细胞因子风暴。针对COVID-19重症患者的治疗目前尚无特效药,西药虽然可以改善部分症状但后遗症较大,而中药在此次疫情中发挥了重要的作用。本文就临床报道的与细胞因子风暴相关的指标,基于“湿毒犯肺”的中医理论通过中药系统药理学数据库和分析平台(TCMSP)挖掘并筛选作用于这些细胞因子的中药。结果发现,主要包括白介素-6(IL-6)、肿瘤坏死因子α(TNFα)和粒细胞-巨噬细胞集落刺激因子(GM-CSF)等19个细胞因子与COVID-19密切相关,麻黄、甘草和金银花等22种中药作用于这些细胞因子,为中医临床治疗中后期COVID-19患者合理的选择处方以及加减用药提供一定的参考。
, correspAuthors=姚卫峰, 居文政, authorNote=null, correspAuthorsNote=
, copyrightStatement=版权所有©《药学学报》编辑部2020, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=u+FimEpQP7w9isBPmMIkmA==, magXml=Msu499w9K6QS3hHAxiFUFQ==, pdfUrl=null, pdf=zkIhNsdLyFJ9VNQMTbwCOg==, pdfFileSize=866866, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=83ZXZiRTHR4smGnKpCgHGQ==, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=YsKRzmB/EVHxYLb4GSFzhQ==, mapNumber=null, authorCompany=null, fund=null, authors=null, authorsList=宗阳, 姚卫峰, 居文政)}, authors=[Author(id=1220655300944777573, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1220655297362841706, 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=1220655301083189617, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1220655297362841706, authorId=1220655300944777573, language=EN, stringName=Yang ZONG, firstName=Yang, middleName=null, lastName=ZONG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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Suzhou Academy of Wumen Chinese Medicine, Suzhou 215009, China), AuthorCompanyExt(id=1220655300688925003, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1220655297362841706, companyId=1220655300646981956, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=3.苏州市吴门医派研究院, 江苏 苏州 215009)]), AuthorCompany(id=1220655300789588309, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1220655297362841706, xref=null, ext=[AuthorCompanyExt(id=1220655300797976919, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1220655297362841706, companyId=1220655300789588309, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=4. School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China), AuthorCompanyExt(id=1220655300810559833, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1220655297362841706, companyId=1220655300789588309, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=4.南京中医药大学药学院, 江苏 南京 210023)])], figs=[ArticleFig(id=1220655303130010191, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1220655297362841706, language=EN, label=null, caption=null, figureFileSmall=90MsIiiQ9QSmY/ZSIE+wHg==, figureFileBig=83ZXZiRTHR4smGnKpCgHGQ==, tableContent=null), ArticleFig(id=1220655303218090586, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1220655297362841706, language=CN, label=Figure 1, caption=
A hypothetical cytokine storm caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) invasion invading the lung and multiple organ failure induced by Coronavirus Disease 2019 (COVID-19) and the intervention of the traditional Chinese medicine systems pharmacology database and analysis platform (TCMSP) database. AHF: Acute heart failure; ARF: Acute renal failure; IL: Interleukin , figureFileSmall=90MsIiiQ9QSmY/ZSIE+wHg==, figureFileBig=83ZXZiRTHR4smGnKpCgHGQ==, tableContent=null), ArticleFig(id=1220655303478137463, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1220655297362841706, language=EN, label=null, caption=null, figureFileSmall=vyjMzxMJIa7TnidalTzVAw==, figureFileBig=J4eXIjRIuJA+u7HEuarFdg==, tableContent=null), ArticleFig(id=1220655303578800770, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1220655297362841706, language=CN, label=Figure 2, caption=
The interaction of 19 cytokines after 10 times of expansion , figureFileSmall=vyjMzxMJIa7TnidalTzVAw==, figureFileBig=J4eXIjRIuJA+u7HEuarFdg==, tableContent=null), ArticleFig(id=1220655303759155851, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1220655297362841706, language=EN, label=null, caption=null, figureFileSmall=KtxHty8ktHPYpMYHGzU0tg==, figureFileBig=YFI3p4Hm6POZ4QbMpZDBow==, tableContent=null), ArticleFig(id=1220655303872402072, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1220655297362841706, language=CN, label=Figure 3, caption=
Distribution and intersection of traditional Chinese medicines acting on cytokines , figureFileSmall=KtxHty8ktHPYpMYHGzU0tg==, figureFileBig=YFI3p4Hm6POZ4QbMpZDBow==, tableContent=null), ArticleFig(id=1220655303964676775, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1220655297362841706, language=EN, label=null, caption=null, figureFileSmall=null, figureFileBig=null, tableContent=
| Virus (year) | Related cytokine indicator | Reference |
| SARS-CoV (2003) | IL-1α, IL-1β, IL-8, IL-6, IL-10, IL-12, IFNγ, IP-10, MCP1, TNFα | [18-20] |
| MERS-CoV (2012) | IFNγ, TNFα, IL-15, IL-17 | [21] |
| SARS-CoV-2 (2019) | Basic FGF, GCSF, GM-CSF, IFNγ, IL-10, IL-1RA, IL-1β, IL-2, IL-6, IL-7, IL-8, IL-9, IP-10, MCP1, MIP1A, MIP1B, PDGF, TNFα, VEGF | [4, 5, 9, 22, 23] |
), ArticleFig(id=1220655304048562865, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1220655297362841706, language=CN, label=Table 1, caption=
Changes of cytokine storm index caused by coronavirus. SARS-CoV: Severe acute respiratory syndrome coronavirus; MERS-CoV: Middle East respiratory syndrome-related coronavirus; IFNγ: Interferon gamma; IP-10: Interferon gamma-induced protein 10; MCP1: Monocyte chemotactic protein-1; TNFα: Tumor necrosis factor α; Basic FGF: Basic fibroblast growth factor; GCSF: Granulocyte colony stimulating factor; GM-CSF: Granulocyte-macrophage colony-stimulating factor; MIP1A: Macrophage inflammatory protein 1 alpha; PDGF: Platelet derived growth factor; VEGF: Vascular endothelial growth factor
, figureFileSmall=null, figureFileBig=null, tableContent=
| Virus (year) | Related cytokine indicator | Reference |
| SARS-CoV (2003) | IL-1α, IL-1β, IL-8, IL-6, IL-10, IL-12, IFNγ, IP-10, MCP1, TNFα | [18-20] |
| MERS-CoV (2012) | IFNγ, TNFα, IL-15, IL-17 | [21] |
| SARS-CoV-2 (2019) | Basic FGF, GCSF, GM-CSF, IFNγ, IL-10, IL-1RA, IL-1β, IL-2, IL-6, IL-7, IL-8, IL-9, IP-10, MCP1, MIP1A, MIP1B, PDGF, TNFα, VEGF | [4, 5, 9, 22, 23] |
), ArticleFig(id=1220655304140837565, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1220655297362841706, language=EN, label=null, caption=null, figureFileSmall=null, figureFileBig=null, tableContent=
| No. | Gene symbol | Uniprot official name | TCMSP protein name | Number of TCM |
| 1 | TNFα | TNF | Tumor necrosis factor | 430 |
| 2 | IL-10 | IL-10 | Interleukin-10 | 372 |
| 3 | IL-6 | IL-6 | Interleukin-6 | 337 |
| 4 | VEGF | VEGFA | Vascular endothelial growth factor A | 304 |
| 5 | IL-1β | IL-1B | Interleukin-1 beta | 288 |
| 6 | IL-2 | IL-2 | Interleukin-2 | 282 |
| 7 | IFNγ | IFNG | Interferon gamma | 260 |
| 8 | IL-8 | CXCL8 | Interleukin-8 | 260 |
| 9 | MCP1 | CCL2 | C-C motif chemokine 2 | 220 |
| 10 | IP-10 | CXCL10 | C-X-C motif chemokine 10 | 188 |
| 11 | GM-CSF | CSF2 | Granulocyte-macrophage colony-stimulating factor | 111 |
| 12 | MIP1A | CCL3 | C-C motif chemokine 3 | 23 |
| 13 | basic FGF | FGF2 | Basic fibroblast growth factor | 14 |
| 14 | PDGF | PDGFB | Platelet-derived growth factor subunit B | 3 |
| 15 | MIP1B | CCL4 | C-C motif chemokine 4 | 2 |
| 16 | GCSF | CSF3 | Granulocyte colony-stimulating factor receptor | 1 |
| 17 | IL-1RA | IL1RN | Interleukin-1 receptor antagonist protein | 1 |
| 18 | IL-7 | IL-7 | Interleukin-7 | 0 |
| 19 | IL-9 | IL-9 | Interleukin-9 | 0 |
), ArticleFig(id=1220655304233112265, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1220655297362841706, language=CN, label=Table 2, caption=
Basic information of 19 cytokines and the role of traditional Chinese medicine (TCM). TCMSP: Traditional Chinese medicine systems pharmacology database and analysis platform
, figureFileSmall=null, figureFileBig=null, tableContent=
| No. | Gene symbol | Uniprot official name | TCMSP protein name | Number of TCM |
| 1 | TNFα | TNF | Tumor necrosis factor | 430 |
| 2 | IL-10 | IL-10 | Interleukin-10 | 372 |
| 3 | IL-6 | IL-6 | Interleukin-6 | 337 |
| 4 | VEGF | VEGFA | Vascular endothelial growth factor A | 304 |
| 5 | IL-1β | IL-1B | Interleukin-1 beta | 288 |
| 6 | IL-2 | IL-2 | Interleukin-2 | 282 |
| 7 | IFNγ | IFNG | Interferon gamma | 260 |
| 8 | IL-8 | CXCL8 | Interleukin-8 | 260 |
| 9 | MCP1 | CCL2 | C-C motif chemokine 2 | 220 |
| 10 | IP-10 | CXCL10 | C-X-C motif chemokine 10 | 188 |
| 11 | GM-CSF | CSF2 | Granulocyte-macrophage colony-stimulating factor | 111 |
| 12 | MIP1A | CCL3 | C-C motif chemokine 3 | 23 |
| 13 | basic FGF | FGF2 | Basic fibroblast growth factor | 14 |
| 14 | PDGF | PDGFB | Platelet-derived growth factor subunit B | 3 |
| 15 | MIP1B | CCL4 | C-C motif chemokine 4 | 2 |
| 16 | GCSF | CSF3 | Granulocyte colony-stimulating factor receptor | 1 |
| 17 | IL-1RA | IL1RN | Interleukin-1 receptor antagonist protein | 1 |
| 18 | IL-7 | IL-7 | Interleukin-7 | 0 |
| 19 | IL-9 | IL-9 | Interleukin-9 | 0 |
), ArticleFig(id=1220655304329581266, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1220655297362841706, language=EN, label=null, caption=null, figureFileSmall=null, figureFileBig=null, tableContent=
| Official gene symbol | Uniprot ID | Degree |
| TNF | P01375 | 97 |
| IL-6 | P05231 | 87 |
| STAT3 | P40763 | 84 |
| TNFRSF1A | P19438 | 79 |
| CXCL8 | P10145 | 74 |
| TLR3 | O15455 | 74 |
| IL-10 | P22301 | 73 |
| IL-1β | P01584 | 72 |
), ArticleFig(id=1220655304447021789, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1220655297362841706, language=CN, label=Table 3, caption=
Network topology analysis after 10 times expansion of cytokine targets (Degree ≥ 70). STAT3: Signal transducer and activator of transcription; TNFRSF1A: Tumor necrosis factor receptor superfamily; TLR3: Toll-like receptors
, figureFileSmall=null, figureFileBig=null, tableContent=
| Official gene symbol | Uniprot ID | Degree |
| TNF | P01375 | 97 |
| IL-6 | P05231 | 87 |
| STAT3 | P40763 | 84 |
| TNFRSF1A | P19438 | 79 |
| CXCL8 | P10145 | 74 |
| TLR3 | O15455 | 74 |
| IL-10 | P22301 | 73 |
| IL-1β | P01584 | 72 |
), ArticleFig(id=1220655304551879399, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1220655297362841706, language=EN, label=null, caption=null, figureFileSmall=null, figureFileBig=null, tableContent=
| No | TCM | TCMSP monomer | Oral bioavailability (OB) ≥ 30% Drug-likeness (DL) ≥ 0.18 |
| 1 | Ephedrae Herba | 363 | 23 |
| 2 | Eriobotryae Folium | 304 | 18 |
| 3 | Glycyrrhizae Radix Et Rhizoma | 280 | 92 |
| 4 | Mdri Folium | 269 | 29 |
| 5 | Lonicerae Japonicae Flos | 236 | 23 |
| 6 | Hippophae Fructus | 223 | 33 |
| 7 | Mori Cortex | 194 | 32 |
| 8 | Moslae Herba | 161 | 15 |
| 9 | Schizonepetae Herba | 159 | 11 |
| 10 | Rhododendri Daurici Folium | 154 | 18 |
| 11 | Forsythiae Fructus | 150 | 23 |
| 12 | Tamaricis Cacumen | 121 | 12 |
| 13 | Peucedani Radix | 101 | 24 |
| 14 | Gardeniae Fructus | 98 | 15 |
| 15 | Scutellariae Barbatae Herba | 94 | 29 |
| 16 | Asteris Radix Et Rhizoma | 91 | 19 |
| 17 | Sophorae Tonkinensis Radix Et Rhizoma | 79 | 21 |
| 18 | Polygoni Cuspidati Rhizoma Et Radix | 62 | 10 |
| 19 | Fagopyri Dibotryis Rhizoma | 61 | 15 |
| 20 | Hedysari Radix | 43 | 14 |
| 21 | Mume Fructus | 40 | 8 |
| 22 | Ilicis Chinensis Folium | 38 | 5 |
), ArticleFig(id=1220655304665125618, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1220655297362841706, language=CN, label=Table 4, caption=
Basic information of TCMSP of 22 intersection traditional Chinese medicines
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| No | TCM | TCMSP monomer | Oral bioavailability (OB) ≥ 30% Drug-likeness (DL) ≥ 0.18 |
| 1 | Ephedrae Herba | 363 | 23 |
| 2 | Eriobotryae Folium | 304 | 18 |
| 3 | Glycyrrhizae Radix Et Rhizoma | 280 | 92 |
| 4 | Mdri Folium | 269 | 29 |
| 5 | Lonicerae Japonicae Flos | 236 | 23 |
| 6 | Hippophae Fructus | 223 | 33 |
| 7 | Mori Cortex | 194 | 32 |
| 8 | Moslae Herba | 161 | 15 |
| 9 | Schizonepetae Herba | 159 | 11 |
| 10 | Rhododendri Daurici Folium | 154 | 18 |
| 11 | Forsythiae Fructus | 150 | 23 |
| 12 | Tamaricis Cacumen | 121 | 12 |
| 13 | Peucedani Radix | 101 | 24 |
| 14 | Gardeniae Fructus | 98 | 15 |
| 15 | Scutellariae Barbatae Herba | 94 | 29 |
| 16 | Asteris Radix Et Rhizoma | 91 | 19 |
| 17 | Sophorae Tonkinensis Radix Et Rhizoma | 79 | 21 |
| 18 | Polygoni Cuspidati Rhizoma Et Radix | 62 | 10 |
| 19 | Fagopyri Dibotryis Rhizoma | 61 | 15 |
| 20 | Hedysari Radix | 43 | 14 |
| 21 | Mume Fructus | 40 | 8 |
| 22 | Ilicis Chinensis Folium | 38 | 5 |
), ArticleFig(id=1220655304753206009, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1220655297362841706, language=EN, label=null, caption=null, figureFileSmall=null, figureFileBig=null, tableContent=
| No. | TCM | Change in related cytokine indicator | Reference |
| 1 | Ephedrae Herba | IL-4, IL-13, IFNγ, eotaxin ↓ | [25, 26] |
| 2 | Glycyrrhizae Radix Et Rhizoma | TNFα, IL-1β ↓ | [27, 28] |
| 3 | Lonicerae Japonicae Flos | TNFα, IL-1β ↓ | [29, 30] |
| 4 | Forsythiae Fructus | TNFα, IL-6, IL-1β ↓ | [31] |
| 5 | Polygoni Cuspidati Rhizoma Et Radix | TNFα, IL-6, IL-1β, IL-8 ↓ | [32, 33] |
), ArticleFig(id=1220655304849675010, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1220655297362841706, language=CN, label=Table 5, caption=
Previous experimental studies on the effects of traditional Chinese medicine on cytokines
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| No. | TCM | Change in related cytokine indicator | Reference |
| 1 | Ephedrae Herba | IL-4, IL-13, IFNγ, eotaxin ↓ | [25, 26] |
| 2 | Glycyrrhizae Radix Et Rhizoma | TNFα, IL-1β ↓ | [27, 28] |
| 3 | Lonicerae Japonicae Flos | TNFα, IL-1β ↓ | [29, 30] |
| 4 | Forsythiae Fructus | TNFα, IL-6, IL-1β ↓ | [31] |
| 5 | Polygoni Cuspidati Rhizoma Et Radix | TNFα, IL-6, IL-1β, IL-8 ↓ | [32, 33] |
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