Article(id=1218263717259695039, tenantId=1146029695717560320, journalId=1189982191388893191, issueId=1218263715896546233, articleNumber=null, orderNo=null, doi=10.16438/j.0513-4870.2017-0285, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=research-article, receivedDate=1490803200000, receivedDateStr=2017-03-30, revisedDate=1493049600000, revisedDateStr=2017-04-25, acceptedDate=null, acceptedDateStr=null, onlineDate=1768386304440, onlineDateStr=2026-01-14, pubDate=1502467200000, pubDateStr=2017-08-12, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1768386304440, onlineIssueDateStr=2026-01-14, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1768386304440, creator=13701087609, updateTime=1768386304440, updator=13701087609, issue=Issue{id=1218263715896546233, tenantId=1146029695717560320, journalId=1189982191388893191, year='2017', volume='52', issue='8', pageStart='1203', pageEnd='1350', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1768386304115, creator=13701087609, updateTime=1768386638816, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1218265119784620776, tenantId=1146029695717560320, journalId=1189982191388893191, issueId=1218263715896546233, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1218265119784620777, tenantId=1146029695717560320, journalId=1189982191388893191, issueId=1218263715896546233, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=1222, endPage=1234, ext={EN=ArticleExt(id=1218263717632988100, articleId=1218263717259695039, tenantId=1146029695717560320, journalId=1189982191388893191, language=EN, title=Comparision and analysis on the blood concentration of common Chinese medicine and Western medicine, columnId=1190335348648547107, journalTitle=Acta Pharmaceutica Sinica, columnName=REVIEWS, runingTitle=null, highlight=null, articleAbstract=

To a certain extent, the drug effect is determined by its blood concentration. It is generally accepted that the blood concentrations of constituents of Chinese medicines are very low. There is no sufficient experimental bases and references on its degree and the possibility of taking effect. In this study, 69 papers were collected and analyzed by searching the database of Scifinder, Pubmed, CNKI. The minimum effective blood concentrations of 73 common Western medicines and the maximum blood concentrations of 211 in vivo constituents of 40 Chinese medicines (single herb or compound Chinese medicine) were summarized. It was found that the maximum blood concentrations of the most in vivo constituents of Chinese medicines were much less than the minimum effective blood concentrations of the Western medicines. Specifically, the minimum effective blood concentrations of 17 Western medicines (23% of total) and the maximum blood concentrations of the 143 in vivo constituents of Chinese medicines (68% of total) were less than 100 ng ·mL-1; the minimum effective blood concentrations of 31 Western medicines (42% of total) and the maximum blood concentrations of the 20 in vivo constituents of Chinese medicines (9% of total) were more than 1 000 ng·mL-1. In this paper, a systematic summary and comparison of the blood concentrations in traditional Chinese medicines and Western medicines were conducted, which could provide a new ideas and references for the study of the pharmacodynamical material basis and its mechanism in traditional Chinese medicine.

, correspAuthors=Shao-qing CAI, authorNote=null, correspAuthorsNote=null, copyrightStatement=Copyright ©2017 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=Jing-jing XU, Ming-ying SHANG, Feng XU, Yao-li LI, Guang-xue LIU, Xuan WANG, Shao-qing CAI), CN=ArticleExt(id=1218263719549785072, articleId=1218263717259695039, tenantId=1146029695717560320, journalId=1189982191388893191, language=CN, title=临床常用中西药血药浓度的比较与分析, columnId=1190335349655180086, journalTitle=药学学报, columnName=综述, runingTitle=null, highlight=null, articleAbstract=

血药浓度在一定程度上决定了药物效应的发挥。目前普遍认为中药体内化合物血药浓度较低,但对其低的程度及是否可以在此浓度水平下发挥药效,尚无充分的研究依据及文献报道。本文通过检索Scifinder、Pubmed和CNKI中英文数据库,对69篇文献进行了整理汇总,统计了73种西药在人体内的最小有效血药浓度及40种中药(单味或复方)给药后211种化学成分的最大血药浓度,分析比较了临床常用西药的最小有效血药浓度及中药体内成分最大血药浓度。结果发现,中药绝大多数体内化合物的最大血药浓度远小于西药最小有效血药浓度,即分别有17种西药(占所统计西药数量的23%)最小有效血药浓度和143种中药体内化合物(占所统计中药化学成分数量的68%)最大血药浓度小于100 ng·mL-1;31种西药(占所统计西药数量的42%)最小有效血药浓度和20种中药体内化合物(占所统计中药化学成分的9%)最大血药浓度大于1 000 ng·mL-1。本文根据文献资料对中西药血药浓度进行较为系统的综述与比较,为深入探讨中药药效物质基础及其作用机制的研究提供新的思路及参考。

, correspAuthors=蔡少青, authorNote=null, correspAuthorsNote=
* 蔡少青, Tel:86-10-82802535, E-mail:
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Acta Pharm Sin (药学学报), 2016, 51:380-387., articleTitle=null, refAbstract=null), Reference(id=1218968472911007759, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1218263717259695039, doi=null, pmid=null, pmcid=null, year=null, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[71], rfOrder=70, authorNames=null, journalName=null, refType=null, unstructuredReference=Yang P, Xu F, Li HF, et al. Detection of 191 taxifolin metabolites and their distribution in rats using HPLC-ESI-ITTOF-MS[J]. Molecules, 2016, 21:1209., articleTitle=null, refAbstract=null), Reference(id=1218968473053614106, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1218263717259695039, doi=null, pmid=null, pmcid=null, year=null, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[72], rfOrder=71, authorNames=null, journalName=null, refType=null, unstructuredReference=Xu F, Yang DH, Shang MY, et al. Effective forms, additive effect, and toxicities scattering effect of pharmacodynamic substances of TCMs some reflections evoked by the study on the metabolic disposition of traditional Chinese medicines (TCM)[J]. World Sci Technol Modern Tradit Chin Med Mater Med (世界科学技术-中医药现代化), 2014, 16:688-703., articleTitle=null, refAbstract=null)], funds=[Fund(id=1218968462437830742, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1218263717259695039, awardId=JJ2016-78, language=CN, fundingSource=北京中医药科技发展资金项目(JJ2016-78), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1218968456221872580, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1218263717259695039, xref=null, ext=[AuthorCompanyExt(id=1218968456226066885, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1218263717259695039, companyId=1218968456221872580, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1. Department of Natrual Medicines, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China), AuthorCompanyExt(id=1218968456234455495, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1218263717259695039, companyId=1218968456221872580, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1.北京大学药学院天然药物学系, 北京 100191)]), AuthorCompany(id=1218968456318341587, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1218263717259695039, xref=null, ext=[AuthorCompanyExt(id=1218968456322535893, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1218263717259695039, companyId=1218968456318341587, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2. Department of Chemical Biology, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China), AuthorCompanyExt(id=1218968456335118806, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1218263717259695039, companyId=1218968456318341587, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2.北京大学药学院化学生物学系, 北京 100191)])], figs=[ArticleFig(id=1218968460743332791, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1218263717259695039, language=EN, label=null, caption=null, figureFileSmall=2HR4ILNnSmfSODEJyvlzfg==, figureFileBig=0ehDItcYRdosmuSux0ieqw==, tableContent=null), ArticleFig(id=1218968460860773316, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1218263717259695039, language=CN, label=Figure 1, caption=

The distribution of 31 Western medicines and 20 Chinese medicines blood concentration in the interval of 1 000-10 000 ng·mL-1

, figureFileSmall=2HR4ILNnSmfSODEJyvlzfg==, figureFileBig=0ehDItcYRdosmuSux0ieqw==, tableContent=null), ArticleFig(id=1218968461062099930, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1218263717259695039, language=EN, label=null, caption=null, figureFileSmall=sWpUluRzTrIOS0/d5s7rbw==, figureFileBig=QsiYHPf2bVo5LPuWMLxN6A==, tableContent=null), ArticleFig(id=1218968461171151839, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1218263717259695039, language=CN, label=Figure 2, caption=

The distribution of blood concentrations of 25 Western medicines and 48 in vivo constituents of Chinese medicines (including 2 metabolites) in the interval of 100-1 000 ng·mL-1

, figureFileSmall=sWpUluRzTrIOS0/d5s7rbw==, figureFileBig=QsiYHPf2bVo5LPuWMLxN6A==, tableContent=null), ArticleFig(id=1218968461271815149, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1218263717259695039, language=EN, label=null, caption=null, figureFileSmall=Sz8OwOSG1aFFVNEpdCCFAQ==, figureFileBig=1JMKvEgyECtsasMXTVC0lw==, tableContent=null), ArticleFig(id=1218968461385061368, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1218263717259695039, language=CN, label=Figure 3, caption=

The distribution of blood concentrations of 17 Western medicines and 143 in vivo constituents of Chinese medicines (including 16 metabolites) in the interval of 0-100 ng·mL-1

, figureFileSmall=Sz8OwOSG1aFFVNEpdCCFAQ==, figureFileBig=1JMKvEgyECtsasMXTVC0lw==, tableContent=null), ArticleFig(id=1218968461502500872, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1218263717259695039, language=EN, label=null, caption=null, figureFileSmall=null, figureFileBig=null, tableContent=
Western medicine Minimum effective blood concentration/ng·mL-1 Document type Reference
Digoxin 0.5 (2) 4
Nifedipine 25 (2) 12
Trovafloxacin 60 (3) 6
Erythromycin 60 (3) 6
Clonazepam 16 (2) 13
Cyclosporine 100 (2) 14
Gentamicin 125 (3) 6
Ciprofloxacin 125 (3) 6
Clorimipramine 160 (2) 15
Quetiapine 250 (2) 16
Aripiprazole 350 (2) 17
Clozapine 370 (2) 18
Cordarone 500 (2) 19
Amikacin 500 (2) 20
Teicoplanin 500 (2) 21
Rifampin 500 (2) 22
Lamotrigine 1 000 (2) 23
Fosfomycin 1 000 (3) 6
Human activated protein C 1 040 (1) 24
Isoniazid 3 000 (2) 23
Oxcarbazepine 3 470 (3) 6
Oxacillin 4 000 (3) 6
Carbamazepine 4 000 (2) 25
Aminophylline 5 000 (1) 6
Vancomycin 5 000 (2) 4
Micafungin 5 000 (2) 13
Cephazolin 8 000 (1) 26
Phenytoin sodium 10 000 (2) 13
Pyrazinamide 12 500 (1) 27
Phenobarbital 15 000 (2) 16
Penicillin 16 000 (2) 23
Sodium valproate 50 000 (1) 28
Kanamycin 15 000 (3) 29
Netilmicin 6 000 (3) 29
Streptomycin 20 000 (3) 29
Sulfonamides 50 000 (3) 29
Amiodarone 500 (3) 29
Darenthin 500 (3) 29
Digitoxigenin 9 (3) 29
Propiram 2 000 (3) 29
Flecainide 200 (3) 29
Lidocaine 1 500 (3) 29
Mexiletine 500 (3) 29
Procaine 4 000 (3) 29
Propranolol 50 (3) 29
Quinidine 2 000 (3) 29
Tocainide 4 000 (3) 29
Verapamil 80 (3) 29
Amrinone 3 700 (3) 29
Hydralazine 100 (3) 29
Primidone 5 000 (3) 29
Amitriptyline 110 (3) 29
Amoxapine 200 (3) 29
Bupropion 25 (3) 29
Clomipramine 80 (3) 29
Desipramine 125 (3) 29
Doxepin 100 (3) 29
Imipramine 200 (3) 29
Maprotiline 200 (3) 29
Nortriptyline 50 (3) 29
Protriptyline 100 (3) 29
Trazodone 800 (3) 29
Chlorpromazine 30 (3) 29
Fluphenazine 0.13 (3) 29
Haloperidol 5 (3) 29
Trilafon 0.8 (3) 29
Thiothixene 2 (3) 29
Amantadine 300 (3) 29
Salicylates 100 000 (3) 29
Terbutaline 0.5 (3) 29
Flucytosine 25 000 (3) 29
Chloramphenicol 15 000 (3) 29
Ethosuximide 40 000 (3) 29
), ArticleFig(id=1218968461678661648, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1218263717259695039, language=CN, label=Table 1, caption=

The minimum effective blood concentrations of 73 Western medicine chemicals. Document types: (1) Pharmacokinetic studies; (2) Therapeutic drug monitoring studies; (3) Clinical monograph

, figureFileSmall=null, figureFileBig=null, tableContent=
Western medicine Minimum effective blood concentration/ng·mL-1 Document type Reference
Digoxin 0.5 (2) 4
Nifedipine 25 (2) 12
Trovafloxacin 60 (3) 6
Erythromycin 60 (3) 6
Clonazepam 16 (2) 13
Cyclosporine 100 (2) 14
Gentamicin 125 (3) 6
Ciprofloxacin 125 (3) 6
Clorimipramine 160 (2) 15
Quetiapine 250 (2) 16
Aripiprazole 350 (2) 17
Clozapine 370 (2) 18
Cordarone 500 (2) 19
Amikacin 500 (2) 20
Teicoplanin 500 (2) 21
Rifampin 500 (2) 22
Lamotrigine 1 000 (2) 23
Fosfomycin 1 000 (3) 6
Human activated protein C 1 040 (1) 24
Isoniazid 3 000 (2) 23
Oxcarbazepine 3 470 (3) 6
Oxacillin 4 000 (3) 6
Carbamazepine 4 000 (2) 25
Aminophylline 5 000 (1) 6
Vancomycin 5 000 (2) 4
Micafungin 5 000 (2) 13
Cephazolin 8 000 (1) 26
Phenytoin sodium 10 000 (2) 13
Pyrazinamide 12 500 (1) 27
Phenobarbital 15 000 (2) 16
Penicillin 16 000 (2) 23
Sodium valproate 50 000 (1) 28
Kanamycin 15 000 (3) 29
Netilmicin 6 000 (3) 29
Streptomycin 20 000 (3) 29
Sulfonamides 50 000 (3) 29
Amiodarone 500 (3) 29
Darenthin 500 (3) 29
Digitoxigenin 9 (3) 29
Propiram 2 000 (3) 29
Flecainide 200 (3) 29
Lidocaine 1 500 (3) 29
Mexiletine 500 (3) 29
Procaine 4 000 (3) 29
Propranolol 50 (3) 29
Quinidine 2 000 (3) 29
Tocainide 4 000 (3) 29
Verapamil 80 (3) 29
Amrinone 3 700 (3) 29
Hydralazine 100 (3) 29
Primidone 5 000 (3) 29
Amitriptyline 110 (3) 29
Amoxapine 200 (3) 29
Bupropion 25 (3) 29
Clomipramine 80 (3) 29
Desipramine 125 (3) 29
Doxepin 100 (3) 29
Imipramine 200 (3) 29
Maprotiline 200 (3) 29
Nortriptyline 50 (3) 29
Protriptyline 100 (3) 29
Trazodone 800 (3) 29
Chlorpromazine 30 (3) 29
Fluphenazine 0.13 (3) 29
Haloperidol 5 (3) 29
Trilafon 0.8 (3) 29
Thiothixene 2 (3) 29
Amantadine 300 (3) 29
Salicylates 100 000 (3) 29
Terbutaline 0.5 (3) 29
Flucytosine 25 000 (3) 29
Chloramphenicol 15 000 (3) 29
Ethosuximide 40 000 (3) 29
), ArticleFig(id=1218968461800296473, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1218263717259695039, language=EN, label=null, caption=null, figureFileSmall=null, figureFileBig=null, tableContent=
Sample Chinese medicine Administration Dose Constituent Category Cmax/ng·mL-1 Reference
Rat plasma Xiangfu-Siwu decoction ig 3.78 g·kg-1 Tetrahydropalmatine Prototype 49.0 11
Protopine Prototype 510 11
Berberine Prototype 8.9 11
Tetrahydro corydaline Prototype 3.4 11
Human plasma Astragalosides injection iv 45 mg Astragaloside Ⅳ Prototype 5 190 30
Rat plasma Danggui-Shaoyao-San ig 3.54 g·kg-1 Paeoniflorin Prototype 8 280 31
Rat plasma Chrysanthemi Flos extract ig 100 mg·kg-1 Apigenin Prototype 3 310 32
Luteolin Prototype 1 684 32
Diosmetin Prototype 329.4 32
Chrysoeriol Prototype 93.1 32
Rat plasma Longdan-Xiegan-decoction ig 10 g·kg-1 Gentiamarin Prototype 5 767 33
Geniposide Prototype 1 164 33
Baicalin Prototype 2 008 33
Swertiamain Prototype 13.0 33
Rat plasma Verbenae herba ig 10 mL·kg-1 Luteolin Prototype 1 620 34
Kaempferol Prototype 590 34
Apigenin Prototype 6 690 34
Quercetol Prototype 820 34
Quercetin Prototype 6 360 34
Rat plasma Coptidis Rhizoma aqueous ig 10 mL·kg-1 Berberine Prototype 153.33 35
extracts Coptisine Prototype 106.81 35
Palmatine Prototype 114.86 35
Jatrorrhizine Prototype 28.08 35
Epiberberine Prototype 96.69 35
Magnoflorine Prototype 310.26 35
Columbamin Prototype 123.19 35
Noroxyhy-drastinine Prototype 10.94 35
Oxyberberine Prototype 6.78 35
8-Oxocoptisine Prototype 10.48 35
Rat plasma Wu-Jin pill ig 15 g·kg-1 Jatrorrhizine Prototype 18.62 36
Berberine Prototype 89.57 36
Coptisine Prototype 33.33 36
Palmatine Prototype 25.80 36
Evodiamine Prototype 21.22 36
Peoniflorin Prototype 210.59 36
Rat plasma Danmu injection im 2 mL·kg-1 Naucleamide A-10-O-β-d- Prototype 74.83 37
glucopyranoside
Naucleamide G Prototype 22.92 37
Pumiloside Prototype 102.06 37
3-Epi-pumiloside Prototype 19.59 37
Strictosamide Prototype 720.76 37
Vincosamide Prototype 36.30 37
Human plasma Puerariae Lobatae radix po 2.56 g Puerarin Prototype 11.07 38
7, 4'-Dihydroxy isoflavone Metabolites 2.10 38
Human plasma Guanxin Ⅱ po 3 g·kg-1 Ferulic Acid Prototype 26.20 39
Rat plasma Xiao-Xu-Ming decoction ig 2.0 g·kg-1 Oroxylin A-7-O-glucuronide Prototype 1200 40
Wogonoside Prototype 2 362 40
Liquiritigenin Prototype 20.3 40
5-O-Methylvisammiol Prototype 338 40
Cimifugin Prototype 2 018 40
Glycyrrhizic acid Prototype 23.24 40
Glycyrrhetinic acid Prototype 760.7 40
Mice plasma Astragali radix ig 80 mg·kg-1 Calycosin-7-O-glucoside Prototype 33.41 41
Ononin Prototype 51.38 41
Calycosin Prototype 32.98 41
Formononetin Prototype 47.93 41
Astragaloside Ⅳ Prototype 128.95 41
Rat plasma Buyang-Huangwu-Tang ig 10 g·kg-1 Astragaloside Ⅰ Prototype 55 42
Astragaloside Ⅱ Prototype 30 42
Astragaloside Ⅳ Prototype 100 42
Formononetin Prototype 98 42
Ononin Prototype 19 42
Calycosin Prototype 1 231 42
Calycosin-7-O-glucoside Prototype 18 42
Ligustilide Prototype 7.8 42
Peoniflorin Prototype 97 42
Human plasma Guang-Tong-Xiao aerosol Rectal 0.165 g·kg-1 Tetrahydropalmatine Prototype 0.55 43
administration Berberine hydrochloride Prototype 0.31 43
Human plasma Chaihu-Shugan-San po 4 g·kg-1 Meranzin hydrate Prototype 199 44
Ferulic acid Prototype 317 44
Human plasma Wuzhi capsule po 6 capsules Schisandrol A Prototype 126.88 45
Schisandrol B Prototype 65.18 45
Schisantherin A Prototype 400.27 45
Deoxyschizandrin Prototype 63.21 45
Schizanhenol Prototype 31.00 45
Human plasma Yigu capsule po 15 capsules LcariinⅡ Prototype 2.76 46
Human plasma Panax Quinquefolius radix po 10 g Ginsenoside Rb1 Prototype 19.90 47
Compound K Prototype 7.32 47
Human plasma Notogenseng radix et po 27 g Ginsenoside Ra3 Prototype 4.94 48
Rhizoma Ginsenoside Rb2 Prototype 39.05 48
Ginsenoside Rd Prototype 8.98 48
Ginsenoside F2 Prototype 4.45 48
Compound K Prototype 154.88 48
20(S)-Protopanoxadiol Prototype 4.19 48
Notoginsenoside R1 Prototype 1.07 48
Ginsenoside Rg1 Prototype 7.25 48
Ginsenoside F1 Prototype 3.06 48
20(S)-Protopanaxatriol Prototype 23.39 48
M16 Metabolites 2.56 48
M17 Metabolites 6.08 48
M19 Metabolites 8.30 48
M20 Metabolites 2.69 48
M21 Metabolites 15.23 48
M22 Metabolites 4.25 48
M4 Metabolites 11.66 48
M5 Metabolites 20.04 48
M6 Metabolites 7.63 48
M7 Metabolites 4.73 48
M8 Metabolites 160.70 48
M10 Metabolites 20.62 48
M11 Metabolites 59.52 48
M12 Metabolites 391.82 48
M13 Metabolites 10.79 48
M14 Metabolites 10.15 48
M15 Metabolites 3.74 48
Rat plasma Baihe-Zhimu-Tang ig 10 g·kg-1 Mangiferin Prototype 522.83 49
Neo-mangiferin Prototype 336.7 49
Timosaponin B Ⅱ Prototype 434.6 49
Timosaponin B Ⅲ Prototype 36.4 49
Timosaponin A Ⅲ Prototype 94.4 49
Rat plasma Zi-Shen pill ig 1.94 g·kg-1 Palmatine Prototype 3.8 50
Berberine Prototype 6.8 50
Timosaponin E1 Prototype 15.2 50
Timosaponin B Prototype 35.0 50
Timosaponin BⅡ Prototype 63.5 50
Mangiferin Prototype 874.9 50
Neo-mangiferin Prototype 71.4 50
Rat plasma Kai-Xin San ig 9.4 g·kg-1 Tumulosic acid Prototype 5.88 51
Ginsenoside Rg1 Prototype 8.75 51
Ginsenoside Re Prototype 69.14 51
Polygalaxanthone Ⅲ Prototype 65.15 51
Ginsenoside Rd Prototype 78.91 51
Ginsenoside Rb1 Prototype 275.9 51
Rat plasma Fuzi-Xiexin decoction ig 30 g·kg-1 Emodin Prototype 3.30 52
Jatrorrhizine Prototype 2.26 52
Berberine Prototype 5.83 52
Palmatine Prototype 6.27 52
Coptisine Prototype 7.78 52
Wogonoside Prototype 125.73 52
Wogonin Prototype 33.98 52
Aloe-emodin Prototype 40.88 52
Rhein Prototype 2 496.96 52
Baicalin Prototype 121.03 52
Rat plasma Tang-Ming-Ling pill ig 16 g·kg-1 Chrysin Prototype 19.47 53
Naringenin Prototype 133.8 53
Oroxylin A Prototype 155.9 53
Hesperidin Prototype 190.3 53
Wogonin Prototype 1378 53
Berberine Prototype 156.2 53
Coptisine Prototype 16.94 53
Jatrorrhizine Prototype 7.884 53
Palmatine Prototype 16.52 53
Rat plasma Jiao-Tai-Wan ig 300 mg·kg-1 Epiberberine Prototype 2.86 54
Berberine Prototype 10.19 54
Palmatine Prototype 0.85 54
Coptisine Prototype 4.09 54
Jatrorrhizine Prototype 1.04 54
Rat plasma Yinchen-Zhufu decoction ig 1.5 g·kg-1 Ononin Prototype 0.34 55
Liquiritin Prototype 11.77 55
Ginkgolides Ⅲ Prototype 16.07 55
Glycyrrhizinic acid Prototype 57.90 55
Cinnamylic acid Prototype 81.33 55
Glycyrrhetinic acid Prototype 431.17 55
Rat plasma Danggui-Buxue decoction ig 20 g·kg-1 Ononin Prototype 6.42 56
Butyl lactone Prototype 7.35 56
Campanulin Prototype 9.28 56
Astragalin Prototype 24.70 56
Caffeic acid Prototype 34.43 56
Ligustilide Prototype 34.18 56
Ferulic acid Prototype 61.03 56
Rat plasma Ke-ke capsule ig 0.18 g·kg-1 Morphine Prototype 8.921 57
Ephedrine Prototype 46.85 57
Pseudoephedrine Prototype 12.58 57
Rat plasma Chaihu-Shugan-San ig 30 g·kg-1 Meranzin hydrate Prototype 58.66 58
Rat plasma Bushen-Huoxue formula ig 1.0 g·kg-1 Formononetin Prototype 1.79 59
Emodin Prototype 8.26 59
Tanshinone ⅡA Prototype 22.64 59
Beagle plasma Niuhuang-Jiedu pill ig 380 mg·kg-1 Dimethylarsinic acid Prototype 57.0 60
Rat plasma Wu-Zhu-Yu decoction ig 6.67 g·kg-1 Evodiamine Prototype 9.01 61
Rutecarpine Prototype 10.13 61
Ginsenoside Rd Prototype 14.56 61
Ginsenoside Rb1 Prototype 63.99 61
Ginsenoside Re Prototype 2.98 61
Ginsenoside Rg1 Prototype 4.42 61
Limonin Prototype 630.90 61
Dehydroevodiamine Prototype 432.40 61
Rat plasma Juglandis Mandshuruicae ig 15 g·kg-1 Quercetin Prototype 33.57 62
cortex extract Myricetin Prototype 54.10 62
Naringenin Prototype 64.83 62
Myricetrin Prototype 103.36 62
Texifolin Prototype 110.24 62
Gallic acid Prototype 3 443.76 62
Quercitrin Prototype 111.29 62
5, 8-Dihydroxy-1, 4-naphthoquinone Prototype 9 965.75 62
Rat plasma Sheng-Mai formula ig 5 mg·kg-1 Schizandrin Prototype 4.51 63
Schisandrol B Prototype 3.61 63
Schisantherin A Prototype 3.80 63
Schizandrin B Prototype 11.46 63
Deoxyschizandrin Prototype 7.64 63
Rat plasma Schisandra chinensis ig 150 mg·g-1 Schisandrol A Prototype 449.0 64
Schisandrol B Prototype 100 64
Gomisin N Prototype 240 64
Tigloylgomisin H Prototype 29.4 64
Schizandrin A Prototype 96.2 64
Schizandrin B Prototype 54.9 64
Angeloylgomisin H Prototype 70.3 64
Schisandrin C Prototype 68.7 64
Rat plasma Licorice ig 5 g·kg-1 Liquiritin Prototype 553.20 65
Isoliquiritin Prototype 145.80 65
Liquiritigenin Prototype 68.40 65
Isoliquiritigenin Prototype 44.70 65
Glycyrrhizic acid Prototype 1 210.50 65
Glycycoumarin Prototype 7.40 65
Formononetin Prototype 13.90 65
Rat plasma Borneol ig 20 mg·kg-1 Borneol Prototype 17.864 66
Camphor Prototype 18.36 66
Rat plasma Suan-Zao-Ren decoction ig 8 g·kg-1 Spinosin Prototype 44.20 67
Mangiferin Prototype 1576 67
Ferulic acid Prototype 151.5 67
Rat plasma Corydalis Decumbentis ig 2.0 g·kg-1 Tetrahydropalmatine Prototype 435.8 68
rhizoma Protopine Prototype 347.9 68
Palmatine Prototype 8.53 68
), ArticleFig(id=1218968461934514217, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1218263717259695039, language=CN, label=Table 2, caption=

The maximum blood concentration of in vivo constituents of traditional Chinese medicine in human/animal plasma. iv: Intravenous injection; ip: Peritoneal injection; ig: Intragastric administration; po: Oral administration

, figureFileSmall=null, figureFileBig=null, tableContent=
Sample Chinese medicine Administration Dose Constituent Category Cmax/ng·mL-1 Reference
Rat plasma Xiangfu-Siwu decoction ig 3.78 g·kg-1 Tetrahydropalmatine Prototype 49.0 11
Protopine Prototype 510 11
Berberine Prototype 8.9 11
Tetrahydro corydaline Prototype 3.4 11
Human plasma Astragalosides injection iv 45 mg Astragaloside Ⅳ Prototype 5 190 30
Rat plasma Danggui-Shaoyao-San ig 3.54 g·kg-1 Paeoniflorin Prototype 8 280 31
Rat plasma Chrysanthemi Flos extract ig 100 mg·kg-1 Apigenin Prototype 3 310 32
Luteolin Prototype 1 684 32
Diosmetin Prototype 329.4 32
Chrysoeriol Prototype 93.1 32
Rat plasma Longdan-Xiegan-decoction ig 10 g·kg-1 Gentiamarin Prototype 5 767 33
Geniposide Prototype 1 164 33
Baicalin Prototype 2 008 33
Swertiamain Prototype 13.0 33
Rat plasma Verbenae herba ig 10 mL·kg-1 Luteolin Prototype 1 620 34
Kaempferol Prototype 590 34
Apigenin Prototype 6 690 34
Quercetol Prototype 820 34
Quercetin Prototype 6 360 34
Rat plasma Coptidis Rhizoma aqueous ig 10 mL·kg-1 Berberine Prototype 153.33 35
extracts Coptisine Prototype 106.81 35
Palmatine Prototype 114.86 35
Jatrorrhizine Prototype 28.08 35
Epiberberine Prototype 96.69 35
Magnoflorine Prototype 310.26 35
Columbamin Prototype 123.19 35
Noroxyhy-drastinine Prototype 10.94 35
Oxyberberine Prototype 6.78 35
8-Oxocoptisine Prototype 10.48 35
Rat plasma Wu-Jin pill ig 15 g·kg-1 Jatrorrhizine Prototype 18.62 36
Berberine Prototype 89.57 36
Coptisine Prototype 33.33 36
Palmatine Prototype 25.80 36
Evodiamine Prototype 21.22 36
Peoniflorin Prototype 210.59 36
Rat plasma Danmu injection im 2 mL·kg-1 Naucleamide A-10-O-β-d- Prototype 74.83 37
glucopyranoside
Naucleamide G Prototype 22.92 37
Pumiloside Prototype 102.06 37
3-Epi-pumiloside Prototype 19.59 37
Strictosamide Prototype 720.76 37
Vincosamide Prototype 36.30 37
Human plasma Puerariae Lobatae radix po 2.56 g Puerarin Prototype 11.07 38
7, 4'-Dihydroxy isoflavone Metabolites 2.10 38
Human plasma Guanxin Ⅱ po 3 g·kg-1 Ferulic Acid Prototype 26.20 39
Rat plasma Xiao-Xu-Ming decoction ig 2.0 g·kg-1 Oroxylin A-7-O-glucuronide Prototype 1200 40
Wogonoside Prototype 2 362 40
Liquiritigenin Prototype 20.3 40
5-O-Methylvisammiol Prototype 338 40
Cimifugin Prototype 2 018 40
Glycyrrhizic acid Prototype 23.24 40
Glycyrrhetinic acid Prototype 760.7 40
Mice plasma Astragali radix ig 80 mg·kg-1 Calycosin-7-O-glucoside Prototype 33.41 41
Ononin Prototype 51.38 41
Calycosin Prototype 32.98 41
Formononetin Prototype 47.93 41
Astragaloside Ⅳ Prototype 128.95 41
Rat plasma Buyang-Huangwu-Tang ig 10 g·kg-1 Astragaloside Ⅰ Prototype 55 42
Astragaloside Ⅱ Prototype 30 42
Astragaloside Ⅳ Prototype 100 42
Formononetin Prototype 98 42
Ononin Prototype 19 42
Calycosin Prototype 1 231 42
Calycosin-7-O-glucoside Prototype 18 42
Ligustilide Prototype 7.8 42
Peoniflorin Prototype 97 42
Human plasma Guang-Tong-Xiao aerosol Rectal 0.165 g·kg-1 Tetrahydropalmatine Prototype 0.55 43
administration Berberine hydrochloride Prototype 0.31 43
Human plasma Chaihu-Shugan-San po 4 g·kg-1 Meranzin hydrate Prototype 199 44
Ferulic acid Prototype 317 44
Human plasma Wuzhi capsule po 6 capsules Schisandrol A Prototype 126.88 45
Schisandrol B Prototype 65.18 45
Schisantherin A Prototype 400.27 45
Deoxyschizandrin Prototype 63.21 45
Schizanhenol Prototype 31.00 45
Human plasma Yigu capsule po 15 capsules LcariinⅡ Prototype 2.76 46
Human plasma Panax Quinquefolius radix po 10 g Ginsenoside Rb1 Prototype 19.90 47
Compound K Prototype 7.32 47
Human plasma Notogenseng radix et po 27 g Ginsenoside Ra3 Prototype 4.94 48
Rhizoma Ginsenoside Rb2 Prototype 39.05 48
Ginsenoside Rd Prototype 8.98 48
Ginsenoside F2 Prototype 4.45 48
Compound K Prototype 154.88 48
20(S)-Protopanoxadiol Prototype 4.19 48
Notoginsenoside R1 Prototype 1.07 48
Ginsenoside Rg1 Prototype 7.25 48
Ginsenoside F1 Prototype 3.06 48
20(S)-Protopanaxatriol Prototype 23.39 48
M16 Metabolites 2.56 48
M17 Metabolites 6.08 48
M19 Metabolites 8.30 48
M20 Metabolites 2.69 48
M21 Metabolites 15.23 48
M22 Metabolites 4.25 48
M4 Metabolites 11.66 48
M5 Metabolites 20.04 48
M6 Metabolites 7.63 48
M7 Metabolites 4.73 48
M8 Metabolites 160.70 48
M10 Metabolites 20.62 48
M11 Metabolites 59.52 48
M12 Metabolites 391.82 48
M13 Metabolites 10.79 48
M14 Metabolites 10.15 48
M15 Metabolites 3.74 48
Rat plasma Baihe-Zhimu-Tang ig 10 g·kg-1 Mangiferin Prototype 522.83 49
Neo-mangiferin Prototype 336.7 49
Timosaponin B Ⅱ Prototype 434.6 49
Timosaponin B Ⅲ Prototype 36.4 49
Timosaponin A Ⅲ Prototype 94.4 49
Rat plasma Zi-Shen pill ig 1.94 g·kg-1 Palmatine Prototype 3.8 50
Berberine Prototype 6.8 50
Timosaponin E1 Prototype 15.2 50
Timosaponin B Prototype 35.0 50
Timosaponin BⅡ Prototype 63.5 50
Mangiferin Prototype 874.9 50
Neo-mangiferin Prototype 71.4 50
Rat plasma Kai-Xin San ig 9.4 g·kg-1 Tumulosic acid Prototype 5.88 51
Ginsenoside Rg1 Prototype 8.75 51
Ginsenoside Re Prototype 69.14 51
Polygalaxanthone Ⅲ Prototype 65.15 51
Ginsenoside Rd Prototype 78.91 51
Ginsenoside Rb1 Prototype 275.9 51
Rat plasma Fuzi-Xiexin decoction ig 30 g·kg-1 Emodin Prototype 3.30 52
Jatrorrhizine Prototype 2.26 52
Berberine Prototype 5.83 52
Palmatine Prototype 6.27 52
Coptisine Prototype 7.78 52
Wogonoside Prototype 125.73 52
Wogonin Prototype 33.98 52
Aloe-emodin Prototype 40.88 52
Rhein Prototype 2 496.96 52
Baicalin Prototype 121.03 52
Rat plasma Tang-Ming-Ling pill ig 16 g·kg-1 Chrysin Prototype 19.47 53
Naringenin Prototype 133.8 53
Oroxylin A Prototype 155.9 53
Hesperidin Prototype 190.3 53
Wogonin Prototype 1378 53
Berberine Prototype 156.2 53
Coptisine Prototype 16.94 53
Jatrorrhizine Prototype 7.884 53
Palmatine Prototype 16.52 53
Rat plasma Jiao-Tai-Wan ig 300 mg·kg-1 Epiberberine Prototype 2.86 54
Berberine Prototype 10.19 54
Palmatine Prototype 0.85 54
Coptisine Prototype 4.09 54
Jatrorrhizine Prototype 1.04 54
Rat plasma Yinchen-Zhufu decoction ig 1.5 g·kg-1 Ononin Prototype 0.34 55
Liquiritin Prototype 11.77 55
Ginkgolides Ⅲ Prototype 16.07 55
Glycyrrhizinic acid Prototype 57.90 55
Cinnamylic acid Prototype 81.33 55
Glycyrrhetinic acid Prototype 431.17 55
Rat plasma Danggui-Buxue decoction ig 20 g·kg-1 Ononin Prototype 6.42 56
Butyl lactone Prototype 7.35 56
Campanulin Prototype 9.28 56
Astragalin Prototype 24.70 56
Caffeic acid Prototype 34.43 56
Ligustilide Prototype 34.18 56
Ferulic acid Prototype 61.03 56
Rat plasma Ke-ke capsule ig 0.18 g·kg-1 Morphine Prototype 8.921 57
Ephedrine Prototype 46.85 57
Pseudoephedrine Prototype 12.58 57
Rat plasma Chaihu-Shugan-San ig 30 g·kg-1 Meranzin hydrate Prototype 58.66 58
Rat plasma Bushen-Huoxue formula ig 1.0 g·kg-1 Formononetin Prototype 1.79 59
Emodin Prototype 8.26 59
Tanshinone ⅡA Prototype 22.64 59
Beagle plasma Niuhuang-Jiedu pill ig 380 mg·kg-1 Dimethylarsinic acid Prototype 57.0 60
Rat plasma Wu-Zhu-Yu decoction ig 6.67 g·kg-1 Evodiamine Prototype 9.01 61
Rutecarpine Prototype 10.13 61
Ginsenoside Rd Prototype 14.56 61
Ginsenoside Rb1 Prototype 63.99 61
Ginsenoside Re Prototype 2.98 61
Ginsenoside Rg1 Prototype 4.42 61
Limonin Prototype 630.90 61
Dehydroevodiamine Prototype 432.40 61
Rat plasma Juglandis Mandshuruicae ig 15 g·kg-1 Quercetin Prototype 33.57 62
cortex extract Myricetin Prototype 54.10 62
Naringenin Prototype 64.83 62
Myricetrin Prototype 103.36 62
Texifolin Prototype 110.24 62
Gallic acid Prototype 3 443.76 62
Quercitrin Prototype 111.29 62
5, 8-Dihydroxy-1, 4-naphthoquinone Prototype 9 965.75 62
Rat plasma Sheng-Mai formula ig 5 mg·kg-1 Schizandrin Prototype 4.51 63
Schisandrol B Prototype 3.61 63
Schisantherin A Prototype 3.80 63
Schizandrin B Prototype 11.46 63
Deoxyschizandrin Prototype 7.64 63
Rat plasma Schisandra chinensis ig 150 mg·g-1 Schisandrol A Prototype 449.0 64
Schisandrol B Prototype 100 64
Gomisin N Prototype 240 64
Tigloylgomisin H Prototype 29.4 64
Schizandrin A Prototype 96.2 64
Schizandrin B Prototype 54.9 64
Angeloylgomisin H Prototype 70.3 64
Schisandrin C Prototype 68.7 64
Rat plasma Licorice ig 5 g·kg-1 Liquiritin Prototype 553.20 65
Isoliquiritin Prototype 145.80 65
Liquiritigenin Prototype 68.40 65
Isoliquiritigenin Prototype 44.70 65
Glycyrrhizic acid Prototype 1 210.50 65
Glycycoumarin Prototype 7.40 65
Formononetin Prototype 13.90 65
Rat plasma Borneol ig 20 mg·kg-1 Borneol Prototype 17.864 66
Camphor Prototype 18.36 66
Rat plasma Suan-Zao-Ren decoction ig 8 g·kg-1 Spinosin Prototype 44.20 67
Mangiferin Prototype 1576 67
Ferulic acid Prototype 151.5 67
Rat plasma Corydalis Decumbentis ig 2.0 g·kg-1 Tetrahydropalmatine Prototype 435.8 68
rhizoma Protopine Prototype 347.9 68
Palmatine Prototype 8.53 68
), ArticleFig(id=1218968462056149044, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1218263717259695039, language=EN, label=null, caption=null, figureFileSmall=null, figureFileBig=null, tableContent=
Blood concentration /ng·mL-1 Western medicine chemical Chinese medicine
10 000 -100 000 11 0
5 000 -10 000 7 6
1 000 -5 000 13 14
100 -1 000 25 48
10 -100 10 89
0 -10 7 54
), ArticleFig(id=1218968462207144003, tenantId=1146029695717560320, journalId=1189982191388893191, articleId=1218263717259695039, language=CN, label=Table 3, caption=

The distribution of blood concentrations of Western medicines chemicals and Chinese medicines

, figureFileSmall=null, figureFileBig=null, tableContent=
Blood concentration /ng·mL-1 Western medicine chemical Chinese medicine
10 000 -100 000 11 0
5 000 -10 000 7 6
1 000 -5 000 13 14
100 -1 000 25 48
10 -100 10 89
0 -10 7 54
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临床常用中西药血药浓度的比较与分析
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徐晶晶 1 , 尚明英 1 , 徐风 1 , 李耀利 1 , 刘广学 1 , 王璇 2 , 蔡少青 1, *
药学学报 | 综述 2017,52(8): 1222-1234
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药学学报 | 综述 2017, 52(8): 1222-1234
临床常用中西药血药浓度的比较与分析
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徐晶晶1, 尚明英1, 徐风1, 李耀利1, 刘广学1, 王璇2, 蔡少青1, *
作者信息
  • 1.北京大学药学院天然药物学系, 北京 100191
  • 2.北京大学药学院化学生物学系, 北京 100191

通讯作者:

* 蔡少青, Tel:86-10-82802535, E-mail:
Comparision and analysis on the blood concentration of common Chinese medicine and Western medicine
Jing-jing XU1, Ming-ying SHANG1, Feng XU1, Yao-li LI1, Guang-xue LIU1, Xuan WANG2, Shao-qing CAI1, *
Affiliations
  • 1. Department of Natrual Medicines, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China
  • 2. Department of Chemical Biology, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China
出版时间: 2017-08-12 doi: 10.16438/j.0513-4870.2017-0285
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血药浓度在一定程度上决定了药物效应的发挥。目前普遍认为中药体内化合物血药浓度较低,但对其低的程度及是否可以在此浓度水平下发挥药效,尚无充分的研究依据及文献报道。本文通过检索Scifinder、Pubmed和CNKI中英文数据库,对69篇文献进行了整理汇总,统计了73种西药在人体内的最小有效血药浓度及40种中药(单味或复方)给药后211种化学成分的最大血药浓度,分析比较了临床常用西药的最小有效血药浓度及中药体内成分最大血药浓度。结果发现,中药绝大多数体内化合物的最大血药浓度远小于西药最小有效血药浓度,即分别有17种西药(占所统计西药数量的23%)最小有效血药浓度和143种中药体内化合物(占所统计中药化学成分数量的68%)最大血药浓度小于100 ng·mL-1;31种西药(占所统计西药数量的42%)最小有效血药浓度和20种中药体内化合物(占所统计中药化学成分的9%)最大血药浓度大于1 000 ng·mL-1。本文根据文献资料对中西药血药浓度进行较为系统的综述与比较,为深入探讨中药药效物质基础及其作用机制的研究提供新的思路及参考。

血药浓度  /  西药  /  中药  /  药效物质基础  /  药理作用机制

To a certain extent, the drug effect is determined by its blood concentration. It is generally accepted that the blood concentrations of constituents of Chinese medicines are very low. There is no sufficient experimental bases and references on its degree and the possibility of taking effect. In this study, 69 papers were collected and analyzed by searching the database of Scifinder, Pubmed, CNKI. The minimum effective blood concentrations of 73 common Western medicines and the maximum blood concentrations of 211 in vivo constituents of 40 Chinese medicines (single herb or compound Chinese medicine) were summarized. It was found that the maximum blood concentrations of the most in vivo constituents of Chinese medicines were much less than the minimum effective blood concentrations of the Western medicines. Specifically, the minimum effective blood concentrations of 17 Western medicines (23% of total) and the maximum blood concentrations of the 143 in vivo constituents of Chinese medicines (68% of total) were less than 100 ng ·mL-1; the minimum effective blood concentrations of 31 Western medicines (42% of total) and the maximum blood concentrations of the 20 in vivo constituents of Chinese medicines (9% of total) were more than 1 000 ng·mL-1. In this paper, a systematic summary and comparison of the blood concentrations in traditional Chinese medicines and Western medicines were conducted, which could provide a new ideas and references for the study of the pharmacodynamical material basis and its mechanism in traditional Chinese medicine.

blood concentration  /  Western medicine  /  Chinese medicine  /  pharmacodynamical material basis  /  pharmacological mechanism
徐晶晶, 尚明英, 徐风, 李耀利, 刘广学, 王璇, 蔡少青. 临床常用中西药血药浓度的比较与分析. 药学学报, 2017 , 52 (8) : 1222 -1234 . DOI: 10.16438/j.0513-4870.2017-0285
Jing-jing XU, Ming-ying SHANG, Feng XU, Yao-li LI, Guang-xue LIU, Xuan WANG, Shao-qing CAI. Comparision and analysis on the blood concentration of common Chinese medicine and Western medicine[J]. Acta Pharmaceutica Sinica, 2017 , 52 (8) : 1222 -1234 . DOI: 10.16438/j.0513-4870.2017-0285
一般认为, 药物在生物体内能够发挥各种药理作用, 本质在于药物经给药部位进入生物体血液循环(肠道直接作用与外用药除外), 一定浓度的药物分子与靶点分子产生特异性或非特异性结合进而引起相应的生物效应。对大多数药物而言, 药理作用的强弱和持续时间的长短, 与药物分子在靶点部位的浓度呈正比。然而目前直接测定药物分子在靶点部位的浓度较为困难。药物分子进入人体后, 可经血液运送至作用部位(靶点部位)。血液中的游离药物通过扩散进入细胞外液, 到达细胞膜或进而扩散至细胞内与靶点结合。血液中的药物浓度与细胞外液及细胞内的药物浓度间可形成可逆平衡, 故血液中的药物浓度可间接地反映药物在靶点部位的浓度[1]。因此, 血药浓度在一定程度上决定了药物效应的发挥。
虽然目前普遍认为中药含有多种化学成分, 各成分含量通常较低, 而其入血成分(包括中药化学成分原形及其代谢产物)的血药浓度更低。但是究竟中药体内成分血药浓度有多低?在这样的浓度下, 单一成分发挥药效的可能性有多大?还没有充分的依据和认识。西药成分单一, 血药浓度与效应间关系明确; 而作为复杂体系的中药, 其入血成分浓度与药效间的关系较难阐明。为此, 本文拟通过检索和分析临床常用中西药血药浓度的相关文献, 将常规剂量下中药体内化合物最大血药浓度和西药最小有效血药浓度进行比较, 为深入探讨中药药效物质及其作用机制提供思路和参考。本文首先采用中国学术期刊全文数据库、Pubmed和Scifinder对相关文献进行检索。中文检索词分别为:“血药浓度”, 二次检索词为“西药”、“中药”, 通过主题词、关键词、摘要和全文等多个字段进行检索查找。根据西药血药浓度的中文文献检索结果, 对相应西药继续进行英文文献追踪。中药血药浓度文献检索的英文检索词分别为:“pharmacokinetics”, 二次检索词为“tratidional Chinese medicine”, 通过“research topic”进行检索查找, 并将文献类型限制为“Journal”。为防止检索结果与已检索出的中文文献重复将语言限制为“English”。同时, 本文所列西药均为收载于《临床常用药物手册》[2]中的临床常用西药, 且文献中要有明确的有效血药浓度下限。中药最大血药浓度的文献需标明确切的给药量, 且在临床常用剂量下开展的研究, 需以中药单味药、提取物(以提取物入药的中药, 文中提及折合生药量, 并根据此折合剂量判断是否为临床常用剂量)或复方入药, 排除以单体成分直接给药情况。对上述检索结果, 筛选出相关文献。最后, 记录西药药品名称、最小有效血药浓度、中药名称、样品类型、给药方式、剂量、化合物、化合物类型、最大血药浓度和文献来源。
临床常用西药最小有效血药浓度数据来源: ① 临床药代动力学研究文献报道。如Koup等[3]建立了氨茶碱治疗呼吸系统疾病危重患者的指导原则及其临床药代动力学研究方法。静脉给予72例患者氨茶碱(负荷剂量5.6 mg·kg-1, 维持剂量0.9、0.68、0.45 mg·kg-1·h-1), 采用高效液相色谱法测定血清茶碱含量。结果发现, 72%研究对象(52例)在血药浓度为8~20 mg·L-1时起效, 只有2例静脉滴注氨茶碱后, 在有效血药浓度5~25 mg·L-1范围之外起效。② 血药浓度监测文献报道。血药浓度监测是以药代动力学原理为指导, 分析测定药物在血液中的浓度, 用以评价疗效或确定给药方案, 使给药方案个体化, 以提高药物治疗水平, 达到临床安全、有效和合理用药的目的, 通常用于治疗窗窄、毒性强、服药周期长和服药后个体差异大的药物。在此类文献中通常会标明所研究西药的最低有效血药浓度。如Xiao等[4]用放射免疫分析法对229例患者体内地高辛血药浓度进行了监测。结果发现, 治疗血药浓度范围(0.5~2 ng·mL-1)内有152例(占66.2%)。由此可知, 地高辛吸收个体差异大, 治疗指数低, 应及时监测血药浓度。③ 临床用药相关专著。如《现代临床药物学》[5]、《Pediatric Dosage Handbook》[6]。西药有效血药浓度是通过对大量临床资料进行统计而确定, 而中药作为复杂体系, 药效物质基础较难明确, 目前尚未见开展此方面研究的报道。中药血药浓度信息多通过对人血浆或动物血浆中目标成分的药代动力学研究得到最大血药浓度。虽然动物血浆中的中药成分的最大血药浓度值不能等同于人体内血药浓度情况, 然而有文献认为基础代谢率、热卡、肝肾功能、血药浓度、药-时曲线下面积、肌酐、血液循环等与体表面积基本成正比[7]。如Zhou等[8]采用HPLC法研究了大鼠灌胃给予11.5 mg·kg-1 (相当于人口服给药200 mg)氨茶碱后血浆药代动力学, 结果发现氨茶碱Cmax为74.349 ± 7.599 μg·mL-1, AUC0-∞为457.664 ± 61.173 μg·mL-1·h。Li[9]对20名志愿者口服200 mg氨茶碱缓释片后血浆药代动力学进行了研究, 结果发现氨茶碱Cmax为2.862 ± 0.374 μg·mL-1, AUC0-∞为43.323 ± 7.362 μg·mL-1·h。比较上述实验结果, 相同剂量下氨茶碱在大鼠血浆中最大血药浓度大于人血浆。与血药浓度与体表面积成正比的理论一致。故在此理论下, 动物用药剂量与人用药剂量进行折合换算, 换算后剂量下的动物血药浓度在一定程度上也可以反映人体内的情况。
因此, 本文除了总结中药给药后化合物在人体内的血药浓度外, 也加入了动物体内血药浓度。如Liu等[10]开展了生脉注射液中ginsenoside-Rg1的药代动力学研究。采用LC-ESI-MS/MS法对10名健康志愿者(男女比例1:1, 年龄20~30岁, 身体质量指数为19~25 kg·m-2)静脉注射60 mL (常规剂量)生脉注射液后0、5、15和30 min, 1、2、3、4、6、8、12和24 h血浆中的ginsenoside-Rg1含量进行测定。采用WinNonlin® software对数据进行分析, 得到了相应药动学参数(AUC、CmaxTmax等)。此外, Liu等[11]研究了痛经模型大鼠灌胃香附四物汤后4种主要活性成分小檗碱、原阿片碱、四氢黄连碱和延胡索乙素的药代动力学。采用LC-MS/MS测定了痛经模型大鼠(220~250 g)给予香附四物汤3.78 g·kg-1 (相当于人0.6 g·kg-1, 常规剂量)后0、5、15、30、60、120、240、360、480和1 920 min时血浆中指标成分的含量, 经WinNonlin® software分析, 得到了相应药动学参数(AUC、CmaxTmax等)。
查阅文献总结得到了73种西药在人体内的最小有效血药浓度及40种中药(单味或复方)给药后体内211种化合物的最大血药浓度, 其中以人血浆为研究对象的体内化合物共42种(包括原形成分25种, 代谢产物18种); 以大鼠血浆为研究对象的体内化合物共169种。中药研究部分涉及的人或动物用药剂量均与临床常用剂量相符, 未见明显超出临床常用剂量的情况。具体数据见表 12
73种西药最小有效血药浓度和211种中药体内化合物(代谢产物)最大血药浓度的分布情况见表 3。其中西药人体最小有效血药浓度值最低的为氟奋乃静(0.13 ng·mL-1), 最小有效血药浓度值最高的为水杨酸类药物(100 000 ng·mL-1); 中药体内化合物在人血浆中, 最大血药浓度值最小的为直肠给予广痛消气雾剂后人血浆中盐酸小檗碱(0.31 ng·mL-1), 最大的为静脉给药黄芪总皂苷注射液后人血浆中的astragaloside Ⅳ (5 190 ng·mL-1); 中药体内化合物在动物血浆中, 最大血药浓度值最小的为灌胃茵陈术附汤后大鼠血浆中的ononin (0.34 ng·mL-1), 最大的为灌胃生脉散后大鼠血浆中的5, 8-dihydroxy-1, 4-naphthoquinone (9 965.75 ng·mL-1)。
就整体而言, 血药浓度小于100 ng·mL-1的中药化学成分(代谢产物)共143种, 占总统计所得成分数量的68%, 西药共17种, 占总统计所得的23%;血药浓度处于100~1 000 ng·mL-1区间内的中药化学成分(代谢产物)共48种, 占总统计所得成分数量的23%, 西药共25种, 占总统计所得的34%;血药浓度处于1 000~100 000 ng·mL-1区间内的中药化学成分(代谢产物)共20种, 占总统计所得成分数量的9%, 西药共31种, 占总统计所得的42%。见表 3图 1~3
由此可知, 中西药血药浓度分布总体趋势:随着血药浓度由低到高, 西药数量呈由少到多的变化, 中药体内化合物(原形/代谢产物)数量则由多到少。即西药最小血药浓度多分布在较高的浓度区间(1 000~100 000 ng·mL-1); 中药体内化合物(原形/代谢产物)最大血药浓度较集中分布在低浓度区间(<100 ng·mL-1); 高浓度区间中药体内化合物分布尤为少, 且所调查的中药化学成分最大血药浓度值未见超出西药最小有效血药浓度值范围, 最大血药浓度最高值是西药最小有效血药浓度最高值的1/10。本文所列的中药体内化合物最大血药浓度, 均是在人或动物给药剂量与临床常用剂量相符的情况下测定得到的。根据本文总结的数据可知, 中药体内化学成分的最大血药浓度比西药最小有效血药浓度低, 且二者之间差距较大, 推测中药起效时体内各个化合物(代谢产物)实际血药浓度可能并未达到单独起作用所需的血药浓度。
本文通过比较总结临床常用西药血药浓度(最小有效血药浓度)及中药体内化合物血药浓度(最大血药浓度), 发现中药绝大多数体内化合物的最大血药浓度远远低于西药最小有效血药浓度。
根据本文分析的结果, 关于“中药药效物质如何产生药效作用”思考如下:目前中药多成分多靶点的协同作用的理论是对中药作用机制的一个公认的重要解释[69, 70], 但是由本文分析的结果可见, 中药体内(大多数)单一化学成分的浓度远低于西药最小有效血药浓度, 这能激动相关靶点而引起相应药理效应吗?“多成分的协同作用”也许提示不需要达到一定的血药浓度, 亦或许所需要的浓度可明显低于西药的最低有效浓度?然而本文总结发现, 有90%以上的中药体内成分的最大血药浓度低于1 000 ng·mL-1, 却有42%西药的最小有效血药浓度处于10 000~100 000 ng·mL-1, 即至少有90%中药体内成分的血药浓度低于血药浓度较高的西药的最小有效血药浓度的1/10~1/1 000。同时, 由于血液中的药物浓度可间接地反映药物在靶点部位的浓度, 因此, 在这样低浓度下单一的中药体内成分激动相应靶点引起药理效应的可能性, 值得进一步思考和研究。或许中药成分发挥药效作用还存在其他机制?作者最近报道[71], 中药土茯苓主要成分花旗松素灌胃给药后在大鼠体内共鉴定出191个代谢产物, 活性预测结果显示其中60个代谢产物有5个相同的靶点(nucleoside diphosphate kinase等); 预测有41个代谢产物或通过作用于靶点glycogen synthase kinase-3 beta发挥抗肿瘤活性, 其中有6个代谢产物已有抗肿瘤活性的文献报道。上述研究结果表明, 中药的原形成分及其代谢产物有可能作用于相同的靶点以共同发挥药理活性。“中药最大血药浓度低于西药最小有效血药浓度”提示, 这种叠加作用会不会是中药发挥药理作用的重要机制之一[72]?总之, 本文对常用中西药血药浓度情况的综述虽然不能涵盖所有情况, 但在一定程度上反映了中西药体内情况的显著差异, 这为今后如何定义中药药效物质基础的概念提供新的思考, 为研究中药药理作用机制提供新的思路。
  • 北京中医药科技发展资金项目(JJ2016-78)
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2017年第52卷第8期
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doi: 10.16438/j.0513-4870.2017-0285
  • 接收时间:2017-03-30
  • 首发时间:2026-01-14
  • 出版时间:2017-08-12
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  • 收稿日期:2017-03-30
  • 修回日期:2017-04-25
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北京中医药科技发展资金项目(JJ2016-78)
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    1.北京大学药学院天然药物学系, 北京 100191
    2.北京大学药学院化学生物学系, 北京 100191

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* 蔡少青, Tel:86-10-82802535, E-mail:
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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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