Uncovering the mechanism of the Shenzhi Jiannao formula against vascular dementia using a combined network pharmacology approach and molecular biology.

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Title: Uncovering the mechanism of the Shenzhi Jiannao formula against vascular dementia using a combined network pharmacology approach and molecular biology.
Authors: Tian D; Beijing University of Chinese Medicine, Beijing, China., Gao Q; Beijing University of Chinese Medicine, Beijing, China., Lin J; Beijing University of Chinese Medicine, Beijing, China., Chang Z; Beijing University of Chinese Medicine, Beijing, China., Wang Y; Beijing University of Chinese Medicine, Beijing, China., Shi Y; Shenzhen Hospital of Beijing University of Chinese Medicine (Longgang), Shenzhen, China; School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China., Su R; Department of Academic Research, Beijing Hospital of Traditional Chinese Medicine, Beijing, China., Han Z; Shenzhen Hospital of Beijing University of Chinese Medicine (Longgang), Shenzhen, China. Electronic address: tohanzhenyun@126.com., Ma D; Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China. Electronic address: ponymdy@163.com.
Source: Phytomedicine : international journal of phytotherapy and phytopharmacology [Phytomedicine] 2021 Sep; Vol. 90, pp. 153637. Date of Electronic Publication: 2021 Jun 24.
Publication Type: Journal Article
Journal Info: Publisher: Urban & Fischer Verlag Country of Publication: Germany NLM ID: 9438794 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1618-095X (Electronic) Linking ISSN: 09447113 NLM ISO Abbreviation: Phytomedicine Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Uncovering the mechanism of the Shenzhi Jiannao formula against vascular dementia using a combined network pharmacology approach and molecular biology.
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  Data: <searchLink fieldCode="AU" term="%22Tian+D%22">Tian D</searchLink>; Beijing University of Chinese Medicine, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Gao+Q%22">Gao Q</searchLink>; Beijing University of Chinese Medicine, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Lin+J%22">Lin J</searchLink>; Beijing University of Chinese Medicine, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Chang+Z%22">Chang Z</searchLink>; Beijing University of Chinese Medicine, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Wang+Y%22">Wang Y</searchLink>; Beijing University of Chinese Medicine, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Shi+Y%22">Shi Y</searchLink>; Shenzhen Hospital of Beijing University of Chinese Medicine (Longgang), Shenzhen, China; School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Su+R%22">Su R</searchLink>; Department of Academic Research, Beijing Hospital of Traditional Chinese Medicine, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Han+Z%22">Han Z</searchLink>; Shenzhen Hospital of Beijing University of Chinese Medicine (Longgang), Shenzhen, China. Electronic address: tohanzhenyun@126.com.<br /><searchLink fieldCode="AU" term="%22Ma+D%22">Ma D</searchLink>; Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China. Electronic address: ponymdy@163.com.
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  Data: <searchLink fieldCode="JN" term="%229438794%22">Phytomedicine : international journal of phytotherapy and phytopharmacology</searchLink> [Phytomedicine] 2021 Sep; Vol. 90, pp. 153637. <i>Date of Electronic Publication: </i>2021 Jun 24.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Urban+%26+Fischer+Verlag%22">Urban & Fischer Verlag </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>9438794 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1618-095X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209447113%22">09447113 </searchLink><i>NLM ISO Abbreviation: </i>Phytomedicine <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.phymed.2021.153637
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        Text: English
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      – TitleFull: Uncovering the mechanism of the Shenzhi Jiannao formula against vascular dementia using a combined network pharmacology approach and molecular biology.
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            – D: 01
              M: 09
              Text: 2021 Sep
              Type: published
              Y: 2021
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