최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기동의생리병리학회지 = Journal of physiology & pathology in Korean Medicine, v.30 no.6, 2016년, pp.385 - 396
한상용 (원광대학교 약학대학 한약학과 및 원광한약연구소) , 김윤경 (원광대학교 약학대학 한약학과 및 원광한약연구소)
It is a fact that the existing pharmacological research method is difficult to explain the effect and mechanism of action of herbal formula of Korean medicine. We are now very pleased with the development of modern science and the development of a methodology for studying herbal formula characterize...
* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.
핵심어 | 질문 | 논문에서 추출한 답변 |
---|---|---|
네트워크 약리학의 특징은? | 환원주의적 접근과 시스템적인 접근, 컴퓨터를 이용한 방법과 전통적 실험방법을 묶어서 사용함으로서 네트워크 약리학은 약물연구의 차세대 방법론이 될 가능성을 가지고 있다. One drug, one target 에서 multicomponent therapeutics, network target으로 패러다임의 변화를 강조하며 정체적인 사고를 중시하는 것이 네트워크 약리학의 특징이다15). | |
방제에서 주요 유효성분만 분리하여 사용하는 방법은 방제만큼의 효능을 발휘할 수 없었던 이유는? | 따라서, 복합홍화방이라는 작은 복합 시스템에서, TLR4의 활성을 억제하는 것으로 예측된 성분인 MOL137, MOL152, MOL178 및 MOL284는 Toll-like receptor 신호 전달 경로와 같은 염증 관련 경로의 조절을 통해 심혈관질환(CVD)에 대한 치료 효과를 발휘한다. 따라서 다중의 약물 – 표적 - 질환의 상호 작용을 하는 이 복합 시스템에서, 다양한 활성 성분은 관련 표적과 경로를 조절함으로써 다양한 생물학적 효과를 발휘할 수 있으며 심혈관질환의 다양한 병리적 과정에 대한 치료 결과를 달성할 수 있다37). 또한 심혈관질환 외의 질환에도 효과를 보일 가능성을 보여주었다. | |
시스템 약리학이란? | 시스템 약리학(systems pharmacology)은 이 시스템 생물학을 약리학에 반영한 것으로, 약물의 활성, 효과, 타겟을 연구하기 위해 큰 규모의 실험연구와 모델에 기반한 컴퓨터 분석을 결합시킨 것으로 정의된다5). 또한 공학과 약리학 이론을 참고로 하여 개별성분의 행태보다는 시스템 전체의 행태를 이해하기 위한 약물과 생체시스템 사이의 동적인 상호작용의 정량분석으로 정의되기도 한다6). |
Stermitz, F.R., Lorenz, P., Tawara, J.N., Zenewicz, L.A., Lewis, K. Synergy in a medicinal plant: antimicrobial action of berberine potentiated by 5'-methoxyhydnocarpin, a multidrug pump inhibitor. Proc Natl Acad Sci USA 97: 1433-1437, 2000.
Wolkenhauer, O. Systems biology: the reincarnation of systems theory applied in biology? Brief Bioinform 2: 258-270, 2001.
Kitano, H. Systems biology: a brief overview. Science 295: 1662-1664, 2002.
Hwang, D., Smith, J.J., Leslie, D.M., Weston, A.D., Rust, A.G., Ramsey, S., de Atauri, P., Siegel, A.F., Bolouri, H., Aitchison, J.D., Hood, L. A data integration methodology for systems biology: experimental verification. Proc Natl Acad Sci USA 102: 17302-17307, 2005.
Berger, S.I., Ma'ayan, A., Iyengar, R. Systems pharmacology of arrhythmias. Sci Signal 3, ra 30, 2010.
Van Der Graaf, P.H., Gabrielsson, J. Pharmacokinetic-pharmacodynamic reasoning in drug discovery and early development. Future Med Chem 1: 1371-1374, 2009.
Wang, M., Lamers, R.J., Korthout, H.A., van Nesselrooij, J.H., Witkamp, R.F., van der Heijden, R., Voshol, P.J., Havekes, L.M., Verpoorte, R., van der Greef, J. Metabolomics in the context of systems biology: bridging traditional Chinese medicine and molecular pharmacology. Phytother Res 19: 173-182, 2005.
Wei, H., Pasman, W., Rubingh, C., Wopereis, S., Tienstra, M., Schroen, J., Wang, M., Verheij, E., van der Greef, J. Urine metabolomics combined with the personalized diagnosis guided by Chinese medicine reveals subtypes of pre-diabetes. Mol Biosyst 8: 1482-1491, 2012.
Chang, W.T., Choi, Y.H., Van der Heijden, R., Lee, M.S., Lin, M.K., Kong, H., Kim, H.K., Verpoorte, R., Hankemeier, T., Van der Greef, J., Wang, M. Traditional processing strongly affects metabolite composition by hydrolysis in Rehmannia glutinosa roots. Chem Pharm Bull (Tokyo) 59: 546-552, 2011.
Wang, J., van der Heijden, R., Spijksma, G., Reijmers, T., Wang, M., Xu, G., Hankemeier, T., van der Greef, J. Alkaloid profiling of the Chinese herbal medicine Fuzi by combination of matrix-assisted laser desorption ionization mass spectrometry with liquid chromatography-mass spectrometry. J Chromatogr A 1216: 2169-2178, 2009.
van Wietmarschen, H., Yuan, K., Lu, C., Gao, P., Wang, J., Xiao, C., Yan, X., Wang, M., Schroen, J., Lu, A., Xu, G., van der Greef, J. Systems biology guided by Chinese medicine reveals new markers for sub-typing rheumatoid arthritis patients. J Clin Rheumatol 15: 330-337, 2009.
Wang, J., van der Heijden, R., Spruit, S., Hankermeier, T., Chan, K., van der Greef, J., Xu, G., Wang, M. Quality and safety of Chinese herbal medicines guided by a systems biology perspective. J Ethnopharmacol 126: 31-41, 2009.
Hopkins, A.L. Network pharmacology: the next paradigm in drug discovery. Nat Chem Biol 4: 682-690, 2008.
Lu, J.J., Pan, W., Hu, Y.J., Wang, Y.T. Multi-target drugs: the trend of drug research and development. PLoS One 7: e40262, 2012.
Li, S., Fan, T.P., Jia, W., Lu, A., Zhang, W. Network pharmacology in traditional chinese medicine. Evid Based Complement Alternat Med 2014: 138460, 2014.
Li, S., Zhang, B. Traditional Chinese medicine network pharmacology: theory, methodology and application. Chin J Nat Med 11: 110-120, 2013.
Zhang, B., Wang, X., Li, S. An Integrative Platform of TCM Network Pharmacology and Its Application on a Herbal Formula, Qing-Luo-Yin. Evid Based Complement Alternat Med 2013: 456747, 2013.
Zhang, Y., Mao, X., Guo, Q., Bai, M., Zhang, B., Liu, C., Sun, Y., Li, S., Lin, N. Pathway of PPAR-gamma coactivators in thermogenesis: a pivotal traditional Chinese medicine-associated target for individualized treatment of rheumatoid arthritis. Oncotarget 7: 15885-15900, 2016.
Li, Y., Li, R., Ouyang, Z., Li, S. Herb Network Analysis for a Famous TCM Doctor's Prescriptions on Treatment of Rheumatoid Arthritis. Evid Based Complement Alternat Med 2015: 451319, 2015.
Zhang, Y., Bai, M., Zhang, B., Liu, C., Guo, Q., Sun, Y., Wang, D., Wang, C., Jiang, Y., Lin, N., Li, S. Uncovering pharmacological mechanisms of Wu-tou decoction acting on rheumatoid arthritis through systems approaches: drug-target prediction, network analysis and experimental validation. Sci Rep 5: 9463, 2015.
Li, X., Xu, X., Wang, J., Yu, H., Wang, X., Yang, H., Xu, H., Tang, S., Li, Y., Yang, L., Huang, L., Wang, Y., Yang, S. A system-level investigation into the mechanisms of Chinese Traditional Medicine: Compound Danshen Formula for cardiovascular disease treatment. PLoS One 7: e43918, 2012.
Ru, J., Li, P., Wang, J., Zhou, W., Li, B., Huang, C., Li, P., Guo, Z., Tao, W., Yang, Y., Xu, X., Li, Y., Wang, Y., Yang, L. TCMSP: a database of systems pharmacology for drug discovery from herbal medicines. J Cheminform 6: 13, 2014.
Tao, W., Li, B., Gao, S., Bai, Y., Shar, P.A., Zhang, W., Guo, Z., Sun, K., Fu, Y., Huang, C., Zheng, C., Mu, J., Pei, T., Wang, Y., Li, Y., Wang, Y. CancerHSP: anticancer herbs database of systems pharmacology. Sci Rep 5: 11481, 2015.
Ji, Z.L., Zhou, H., Wang, J.F., Han, L.Y., Zheng, C.J., Chen, Y.Z. Traditional Chinese medicine information database. J Ethnopharmacol 103: 501, 2006.
Chen, C.Y. TCM Database@Taiwan: the world's largest traditional Chinese medicine database for drug screening in silico. PLoS One 6: e15939, 2011.
Fang, Y.C., Huang, H.C., Chen, H.H., Juan, H.F. TCMGeneDIT: a database for associated traditional Chinese medicine, gene and disease information using text mining. BMC Complement Altern Med 8: 58, 2008.
Ehrman, T.M., Barlow, D.J., Hylands, P.J. Phytochemical databases of Chinese herbal constituents and bioactive plant compounds with known target specificities. J Chem Inf Model 47: 254-263, 2007.
Fang, X., Shao, L., Zhang, H., Wang, S. CHMIS-C: a comprehensive herbal medicine information system for cancer. J Med Chem 48: 1481-1488, 2005.
Ye, H., Ye, L., Kang, H., Zhang, D., Tao, L., Tang, K., Liu, X., Zhu, R., Liu, Q., Chen, Y.Z., Li, Y., Cao, Z. HIT: linking herbal active ingredients to targets. Nucleic Acids Res 39: D1055-1059, 2011.
Xue, R., Fang, Z., Zhang, M., Yi, Z., Wen, C., Shi, T. TCMID: Traditional Chinese Medicine integrative database for herb molecular mechanism analysis. Nucleic Acids Res 41: D1089-1095, 2013.
Hu, R., Ren, G., Sun, G., Sun, X. TarNet: An Evidence-Based Database for Natural Medicine Research. PLoS One 11: e0157222, 2016.
Kim, H.U., Ryu, J.Y., Lee, J.O., Lee, S.Y. A systems approach to traditional oriental medicine. Nat Biotechnol 33: 264-268, 2015.
Zhou, W., Wang, J., Wu, Z., Huang, C., Lu, A., Wang, Y. Systems pharmacology exploration of botanic drug pairs reveals the mechanism for treating different diseases. Sci Rep 6: 36985, 2016.
Li, S., Zhang, B., Zhang, N. Network target for screening synergistic drug combinations with application to traditional Chinese medicine. BMC Syst Biol 5 Suppl 1: S10, 2011.
Liu, J., Mu, J., Zheng, C., Chen, X., Guo, Z., Huang, C., Fu, Y., Tian, G., Shang, H., Wang, Y. Systems-Pharmacology Dissection of Traditional Chinese Medicine Compound Saffron Formula Reveals Multi-scale Treatment Strategy for Cardiovascular Diseases. Sci Rep 6: 19809, 2016.
Yang, Z.Z., Liu, W., Zhang, F., Li, Z., Cheng, Y.Y. Deciphering the therapeutic mechanisms of Xiao-Ke-An in treatment of type 2 diabetes in mice by a Fangjiomics approach. Acta Pharmacol Sin 36: 699-707, 2015.
Liu, J., Wang, Z. Diverse array-designed modes of combination therapies in Fangjiomics. Acta Pharmacol Sin 36: 680-688, 2015.
Duan, D.D., Wang, Z., Zhang, B.L., Wang, Y.Y. Fangjiomics: revealing adaptive omics pharmacological mechanisms of the myriad combination therapies to achieve personalized medicine. Acta Pharmacol Sin 36: 651-653, 2015.
Yao, Y., Zhang, X., Wang, Z., Zheng, C., Li, P., Huang, C., Tao, W., Xiao, W., Wang, Y., Huang, L., Yang, L. Deciphering the combination principles of Traditional Chinese Medicine from a systems pharmacology perspective based on Ma-huang Decoction. J Ethnopharmacol 150: 619-638, 2013.
Fang, H., Wang, Y., Yang, T., Ga, Y., Zhang, Y., Liu, R., Zhang, W., Zhao, J. Bioinformatics analysis for the antirheumatic effects of huang-lian-jie-du-tang from a network perspective. Evid Based Complement Alternat Med 2013: 245357, 2013.
Li, H., Zhao, L., Zhang, B., Jiang, Y., Wang, X., Guo, Y., Liu, H., Li, S., Tong, X. A network pharmacology approach to determine active compounds and action mechanisms of ge-gen-qin-lian decoction for treatment of type 2 diabetes. Evid Based Complement Alternat Med 2014: 495840, 2014.
Liang, X., Li, H., Li, S. A novel network pharmacology approach to analyse traditional herbal formulae: the Liu-Wei-Di-Huang pill as a case study. Mol Biosyst 10, 1014-1022, 2014.
Li, B., Tao, W., Zheng, C., Shar, P.A., Huang, C., Fu, Y., Wang, Y. Systems pharmacology-based approach for dissecting the addition and subtraction theory of traditional Chinese medicine: An example using Xiao-Chaihu-Decoction and Da-Chaihu-Decoction. Comput Biol Med 53: 19-29, 2014.
An, L., Feng, F. Network pharmacology-based antioxidant effect study of zhi-zi-da-huang decoction for alcoholic liver disease. Evid Based Complement Alternat Med 2015: 492470, 2015.
Li, J., Zhao, P., Li, Y., Tian, Y., Wang, Y. Systems pharmacology-based dissection of mechanisms of Chinese medicinal formula Bufei Yishen as an effective treatment for chronic obstructive pulmonary disease. Sci Rep 5: 15290, 2015.
Li, Y., Zhang, J., Zhang, L., Chen, X., Pan, Y., Chen, S.S., Zhang, S., Wang, Z., Xiao, W., Yang, L., Wang, Y. Systems pharmacology to decipher the combinational anti-migraine effects of Tianshu formula. J Ethnopharmacol 174: 45-56, 2015.
Zhao, P., Li, J., Li, Y., Tian, Y., Wang, Y., Zheng, C. Systems pharmacology-based approach for dissecting the active ingredients and potential targets of the Chinese herbal Bufei Jianpi formula for the treatment of COPD. Int J Chron Obstruct Pulmon Dis 10: 2633-2656, 2015.
Luo, Y., Wang, Q., Zhang, Y. A systems pharmacology approach to decipher the mechanism of danggui-shaoyao-san decoction for the treatment of neurodegenerative diseases. J Ethnopharmacol 178: 66-81, 2016.
Liu, J., Pei, T., Mu, J., Zheng, C., Chen, X., Huang, C., Fu, Y., Liang, Z., Wang, Y. Systems Pharmacology Uncovers the Multiple Mechanisms of Xijiao Dihuang Decoction for the Treatment of Viral Hemorrhagic Fever. Evid Based Complement Alternat Med 2016: 9025036, 2016.
Ma, X., Lv, B., Li, P., Jiang, X., Zhou, Q., Wang, X., Gao, X. Identification of "Multiple Components-Multiple Targets-Multiple Pathways" Associated with Naoxintong Capsule in the Treatment of Heart Diseases Using UPLC/Q-TOF-MS and Network Pharmacology. Evid Based Complement Alternat Med 2016: 9468087, 2016.
Tang, H., He, S., Zhang, X., Luo, S., Zhang, B., Duan, X., Zhang, Z., Wang, W., Wang, Y., Sun, Y. A Network Pharmacology Approach to Uncover the Pharmacological Mechanism of XuanHuSuo Powder on Osteoarthritis. Evid Based Complement Alternat Med 2016: 3246946, 2016.
Sun, J., Zhang, L., He, Y., Zhang, K., Wu, L., Fan, Y., Xie, Z. To Unveil the Molecular Mechanisms of Qi and Blood through Systems Biology-Based Investigation into Si-Jun-Zi-Tang and Si-Wu-Tang formulae. Sci Rep 6: 34328, 2016.
Xiang, H., Wang, G., Qu, J., Xia, S., Tao, X., Qi, B., Zhang, Q., Shang, D. Yin-Chen-Hao Tang Attenuates Severe Acute Pancreatitis in Rat: An Experimental Verification of In silico Network Target Prediction. Front Pharmacol 7: 378, 2016.
Li, S. Exploring traditional chinese medicine by a novel therapeutic concept of network target. Chin J Integr Med 22: 647-652, 2016.
Csermely, P., Agoston, V., Pongor, S. The efficiency of multi-target drugs: the network approach might help drug design. Trends Pharmacol Sci 26: 178-182, 2005.
Jiang, P., Dai, W., Yan, S., Chen, Z., Xu, R., Ding, J., Xiang, L., Wang, S., Liu, R., Zhang, W. Biomarkers in the early period of acute myocardial infarction in rat serum and protective effects of Shexiang Baoxin Pill using a metabolomic method. J Ethnopharmacol 138: 530-536, 2011.
Xiang, L., Jiang, P., Zhan, C., Chen, Z., Liu, X., Huang, X., Wang, S., Hu, Y., Zhang, W., Liu, R. The serum metabolomic study of intervention effects of the traditional Chinese medicine Shexiang Baoxin Pill and a multi-component medicine polypill in the treatment of myocardial infarction in rats. Mol Biosyst 8: 2434-2442, 2012.
Xiang, L., Jiang, P., Wang, S., Hu, Y., Liu, X., Yue, R., Zhang, W., Liu, R. Metabolomic strategy for studying the intervention and the synergistic effects of the shexiang baoxin pill for treating myocardial infarction in rats. Evid Based Complement Alternat Med 2013: 823121, 2013.
Jung, J.Y., Hwang, G.S., Sohn, I.C. The study of metabolomics for the scientific research of Korean medicine: Review. Journal of Meridian & Acupoint 25: 147-166, 2008.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
출판사/학술단체 등이 한시적으로 특별한 프로모션 또는 일정기간 경과 후 접근을 허용하여, 출판사/학술단체 등의 사이트에서 이용 가능한 논문
※ AI-Helper는 부적절한 답변을 할 수 있습니다.