PMID- 30647760 OWN - NLM STAT- MEDLINE DCOM- 20200106 LR - 20200928 IS - 1741-427X (Print) IS - 1741-4288 (Electronic) IS - 1741-427X (Linking) VI - 2018 DP - 2018 TI - Systematic Understanding of the Mechanism of Baicalin against Ischemic Stroke through a Network Pharmacology Approach. PG - 2582843 LID - 10.1155/2018/2582843 [doi] LID - 2582843 AB - Ischemic stroke is accompanied by high mortality and morbidity rates. At present, there is no effective clinical treatment. Alternatively, traditional Chinese medicine has been widely used in China and Japan for the treatment of ischemic stroke. Baicalin is a flavonoid extracted from Scutellaria baicalensis that has been shown to be effective against ischemic stroke; however, its mechanism has not been fully elucidated. Based on network pharmacology, we explored the potential mechanism of baicalin on a system level. After obtaining baicalin structural information from the PubChem database, an approach combined with literature mining and PharmMapper prediction was used to uncover baicalin targets. Ischemic stroke-related targets were gathered with the help of DrugBank, Online Mendelian Inheritance in Man (OMIM), Genetic Association Database (GAD), and Therapeutic Target Database (TTD). Protein-protein interaction (PPI) networks were constructed through the Cytoscape plugin BisoGenet and analyzed by topological methods. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment were carried out via the Database for Annotation, Visualization, and Integrated Discovery (DAVID) server. We obtained a total of 386 potential targets and 5 signaling pathways, including mitogen-activated protein kinase (MAPK), phosphoinositide 3-kinase (PI3K)/protein kinase B (AKT), hypoxia-inducible factor-1 (HIF-1), nuclear factor kappa B (NF-kappaB), and forkhead box (FOXO) signaling pathways. GO analysis showed that these targets were associated with antiapoptosis, antioxidative stress, anti-inflammation, and other physiopathological processes that are involved in anti-ischemic stroke effects. In summary, the mechanism of baicalin against ischemic stroke involved multiple targets and signaling pathways. Our study provides a network pharmacology framework for future research on traditional Chinese medicine. FAU - Xu, Tian AU - Xu T AUID- ORCID: 0000-0003-0907-0067 AD - School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China. FAU - Ma, Chongyang AU - Ma C AD - School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China. FAU - Fan, Shuning AU - Fan S AD - School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China. FAU - Deng, Nan AU - Deng N AD - School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China. FAU - Lian, Yajun AU - Lian Y AD - School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China. FAU - Tan, Ling AU - Tan L AD - School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China. FAU - Du, Weizhe AU - Du W AD - School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China. FAU - Zhang, Shuang AU - Zhang S AD - School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China. FAU - Liu, Shuling AU - Liu S AD - School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China. FAU - Ren, Beida AU - Ren B AD - School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China. FAU - Li, Zhenhan AU - Li Z AD - School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China. FAU - Wang, Qingguo AU - Wang Q AD - School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China. FAU - Wang, Xueqian AU - Wang X AUID- ORCID: 0000-0001-9138-1491 AD - School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China. FAU - Cheng, Fafeng AU - Cheng F AUID- ORCID: 0000-0002-3409-1196 AD - School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China. LA - eng PT - Journal Article DEP - 20181217 PL - United States TA - Evid Based Complement Alternat Med JT - Evidence-based complementary and alternative medicine : eCAM JID - 101215021 RN - 0 (Anti-Inflammatory Agents) RN - 0 (Antioxidants) RN - 0 (Drugs, Chinese Herbal) RN - 0 (Flavonoids) RN - 0 (Forkhead Transcription Factors) RN - 0 (Hypoxia-Inducible Factor 1) RN - 0 (NF-kappa B) RN - 347Q89U4M5 (baicalin) RN - EC 2.7.11.24 (Mitogen-Activated Protein Kinases) EIN - Evid Based Complement Alternat Med. 2019 Apr 3;2019:4520704. PMID: 31073316 MH - Anti-Inflammatory Agents/chemistry/pharmacology/therapeutic use MH - Antioxidants/chemistry/pharmacology/therapeutic use MH - Apoptosis/drug effects MH - Brain Ischemia/drug therapy/*metabolism MH - Databases, Genetic MH - Drugs, Chinese Herbal/chemistry/*pharmacology/therapeutic use MH - Flavonoids/chemistry/*pharmacology/therapeutic use MH - Forkhead Transcription Factors/metabolism MH - Humans MH - Hypoxia-Inducible Factor 1/metabolism MH - Mitogen-Activated Protein Kinases/metabolism MH - Molecular Docking Simulation MH - Molecular Structure MH - NF-kappa B/metabolism MH - Phosphatidylinositol 3-Kinases/metabolism MH - Phytotherapy MH - Protein Interaction Maps MH - Scutellaria baicalensis/*chemistry MH - Signal Transduction MH - Stroke/drug therapy/*metabolism PMC - PMC6311886 EDAT- 2019/01/17 06:00 MHDA- 2019/01/17 06:01 PMCR- 2018/12/17 CRDT- 2019/01/17 06:00 PHST- 2018/10/11 00:00 [received] PHST- 2018/11/09 00:00 [revised] PHST- 2018/12/06 00:00 [accepted] PHST- 2019/01/17 06:00 [entrez] PHST- 2019/01/17 06:00 [pubmed] PHST- 2019/01/17 06:01 [medline] PHST- 2018/12/17 00:00 [pmc-release] AID - 10.1155/2018/2582843 [doi] PST - epublish SO - Evid Based Complement Alternat Med. 2018 Dec 17;2018:2582843. doi: 10.1155/2018/2582843. eCollection 2018.