Identifying quality-markers from Shengmai San protects against transgenic mouse model of Alzheimer's disease using chinmedomics approach
Shengmai San (SMS), a Chinese classic herbal formula, has been widely used for the treatment of Qi-Yin deficiency syndrome in Asia. Modern pharmacological studies have shown that SMS improves the cognitive function. However, the quality markers (Q-markers) for SMS still need further research. Using...
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| Veröffentlicht in: | Phytomedicine (Stuttgart) 2018-06, Vol.45, p.84-92 |
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| creator | Zhang, Ai- Hua Yu, Jing-Bo Sun, Hui Kong, Ling Wang, Xiang- Qian Zhang, Qing-Yu Wang, Xi-Jun |
| description | Shengmai San (SMS), a Chinese classic herbal formula, has been widely used for the treatment of Qi-Yin deficiency syndrome in Asia. Modern pharmacological studies have shown that SMS improves the cognitive function. However, the quality markers (Q-markers) for SMS still need further research.
Using chinmedocmics strategy to systematically evaluate the efficacy of SMS in the treatment of APPswe/PS1dE9 (APP/PS1) transgenic model of Alzheimer's disease (AD) and to discover the efficacy-related Q-markers.
The effect of SMS on APP/PS1 mice was evaluated by behavioral test, immunohistochemistry and urine metabolic profile, and the urine marker metabolites associated with SMS treatment of AD were characterized using metabolomics method. In the premise of efficacy, Serum Pharmacochemistry of Traditional Chinese Medicine was applied to investigate the in vivo constituents of SMS. A correlation analysis between marker metabolites of therapeutic effects and serum constituents was completed by chinmedomics approach.
SMS had a therapeutic effect on APP/PS1 mice, and 34 potential urine biomarkers were reversed by SMS treatment. A total of 17 in vivo constituents were detected, including 14 prototype components and 3 metabolites. The correlation analysis showed that eight constituents were extremely correlated with protective effects of SMS in AD, and considered as potential Q-markers of SMS, including schisandrin, isoschisandrin, angeloylgomisin Q, gomisin D, angeloylgomisin H, gomisin M2, ginsenoside F1, 20(R)-ginsenoside Rg3.
This study has demonstrated that chinmedomics is novel strategy for discovering the potential effective constituents from herbal formula, which are recognized as Q-markers.
[Display omitted] |
| doi_str_mv | 10.1016/j.phymed.2018.04.004 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2031025564</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0944711318301041</els_id><sourcerecordid>2031025564</sourcerecordid><originalsourceid>FETCH-LOGICAL-c362t-fcd7e99919f526629eea70a5f56b3f63ecc2ce03608a8cea7361c8f693fcc6403</originalsourceid><addsrcrecordid>eNp9UcFu1DAUtBCIbgt_gJBvcEn6HCfe-IJUVQUqVeJQKvVmuS_PGy-Js7WTSssX9LPxatsrF_sw82bem2Hsk4BSgFDn23LX70fqygpEW0JdAtRv2Eoo0Ragm_u3bAW6rou1EPKEnaa0BRC1XsN7dlJp1TZSqRV7vu4ozN7tfdjwx8UOft4Xo41_KCbu4jTy257CZrSe39rAd3GaCefE7cb6kGY-RxvShoJHPk5Lovx2NPDJ8Yvhb09-pPgl8c4nshlc0sEGex_y4tPoMQvtsqbF_gN75-yQ6OPLf8buvl_9vvxZ3Pz6cX15cVOgVNVcOOzWpLUW2jWVUpUmsmuwjWvUg3RKEmKFBFJBa1vMmFQCW6e0dIiqBnnGvh51s-3jQmk2o09Iw2AD5QNMBVJA1TSqztT6SMU4pRTJmV30OZu9EWAOHZitOXZgDh0YqE3uII99fnFYHg7Y69Br6Jnw7UigfOeTp2gSegpInY85XNNN_v8O_wBRu53P</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2031025564</pqid></control><display><type>article</type><title>Identifying quality-markers from Shengmai San protects against transgenic mouse model of Alzheimer's disease using chinmedomics approach</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals Complete</source><creator>Zhang, Ai- Hua ; Yu, Jing-Bo ; Sun, Hui ; Kong, Ling ; Wang, Xiang- Qian ; Zhang, Qing-Yu ; Wang, Xi-Jun</creator><creatorcontrib>Zhang, Ai- Hua ; Yu, Jing-Bo ; Sun, Hui ; Kong, Ling ; Wang, Xiang- Qian ; Zhang, Qing-Yu ; Wang, Xi-Jun</creatorcontrib><description>Shengmai San (SMS), a Chinese classic herbal formula, has been widely used for the treatment of Qi-Yin deficiency syndrome in Asia. Modern pharmacological studies have shown that SMS improves the cognitive function. However, the quality markers (Q-markers) for SMS still need further research.
Using chinmedocmics strategy to systematically evaluate the efficacy of SMS in the treatment of APPswe/PS1dE9 (APP/PS1) transgenic model of Alzheimer's disease (AD) and to discover the efficacy-related Q-markers.
The effect of SMS on APP/PS1 mice was evaluated by behavioral test, immunohistochemistry and urine metabolic profile, and the urine marker metabolites associated with SMS treatment of AD were characterized using metabolomics method. In the premise of efficacy, Serum Pharmacochemistry of Traditional Chinese Medicine was applied to investigate the in vivo constituents of SMS. A correlation analysis between marker metabolites of therapeutic effects and serum constituents was completed by chinmedomics approach.
SMS had a therapeutic effect on APP/PS1 mice, and 34 potential urine biomarkers were reversed by SMS treatment. A total of 17 in vivo constituents were detected, including 14 prototype components and 3 metabolites. The correlation analysis showed that eight constituents were extremely correlated with protective effects of SMS in AD, and considered as potential Q-markers of SMS, including schisandrin, isoschisandrin, angeloylgomisin Q, gomisin D, angeloylgomisin H, gomisin M2, ginsenoside F1, 20(R)-ginsenoside Rg3.
This study has demonstrated that chinmedomics is novel strategy for discovering the potential effective constituents from herbal formula, which are recognized as Q-markers.
[Display omitted]</description><identifier>ISSN: 0944-7113</identifier><identifier>EISSN: 1618-095X</identifier><identifier>DOI: 10.1016/j.phymed.2018.04.004</identifier><identifier>PMID: 29685366</identifier><language>eng</language><publisher>Germany: Elsevier GmbH</publisher><subject>Alzheimer Disease - drug therapy ; Animals ; APPswe/PS1dE9 transgenic mice ; Biomarkers, Pharmacological - analysis ; Biomarkers, Pharmacological - blood ; Biomarkers, Pharmacological - urine ; Chinmedomics ; Cyclooctanes - analysis ; Dioxoles - analysis ; Disease Models, Animal ; Drugs, Chinese Herbal - analysis ; Drugs, Chinese Herbal - chemistry ; Drugs, Chinese Herbal - pharmacology ; Efficacy ; Ginsenosides - analysis ; Lignans - analysis ; Male ; Medicine, Chinese Traditional - methods ; Metabolomics - methods ; Mice, Transgenic ; Neuroprotective Agents - chemistry ; Neuroprotective Agents - pharmacology ; Polycyclic Compounds - analysis ; Quality markers ; Shengmai San</subject><ispartof>Phytomedicine (Stuttgart), 2018-06, Vol.45, p.84-92</ispartof><rights>2018 Elsevier GmbH</rights><rights>Copyright © 2018 Elsevier GmbH. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c362t-fcd7e99919f526629eea70a5f56b3f63ecc2ce03608a8cea7361c8f693fcc6403</citedby><cites>FETCH-LOGICAL-c362t-fcd7e99919f526629eea70a5f56b3f63ecc2ce03608a8cea7361c8f693fcc6403</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.phymed.2018.04.004$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>315,781,785,3551,27929,27930,46000</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29685366$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhang, Ai- Hua</creatorcontrib><creatorcontrib>Yu, Jing-Bo</creatorcontrib><creatorcontrib>Sun, Hui</creatorcontrib><creatorcontrib>Kong, Ling</creatorcontrib><creatorcontrib>Wang, Xiang- Qian</creatorcontrib><creatorcontrib>Zhang, Qing-Yu</creatorcontrib><creatorcontrib>Wang, Xi-Jun</creatorcontrib><title>Identifying quality-markers from Shengmai San protects against transgenic mouse model of Alzheimer's disease using chinmedomics approach</title><title>Phytomedicine (Stuttgart)</title><addtitle>Phytomedicine</addtitle><description>Shengmai San (SMS), a Chinese classic herbal formula, has been widely used for the treatment of Qi-Yin deficiency syndrome in Asia. Modern pharmacological studies have shown that SMS improves the cognitive function. However, the quality markers (Q-markers) for SMS still need further research.
Using chinmedocmics strategy to systematically evaluate the efficacy of SMS in the treatment of APPswe/PS1dE9 (APP/PS1) transgenic model of Alzheimer's disease (AD) and to discover the efficacy-related Q-markers.
The effect of SMS on APP/PS1 mice was evaluated by behavioral test, immunohistochemistry and urine metabolic profile, and the urine marker metabolites associated with SMS treatment of AD were characterized using metabolomics method. In the premise of efficacy, Serum Pharmacochemistry of Traditional Chinese Medicine was applied to investigate the in vivo constituents of SMS. A correlation analysis between marker metabolites of therapeutic effects and serum constituents was completed by chinmedomics approach.
SMS had a therapeutic effect on APP/PS1 mice, and 34 potential urine biomarkers were reversed by SMS treatment. A total of 17 in vivo constituents were detected, including 14 prototype components and 3 metabolites. The correlation analysis showed that eight constituents were extremely correlated with protective effects of SMS in AD, and considered as potential Q-markers of SMS, including schisandrin, isoschisandrin, angeloylgomisin Q, gomisin D, angeloylgomisin H, gomisin M2, ginsenoside F1, 20(R)-ginsenoside Rg3.
This study has demonstrated that chinmedomics is novel strategy for discovering the potential effective constituents from herbal formula, which are recognized as Q-markers.
[Display omitted]</description><subject>Alzheimer Disease - drug therapy</subject><subject>Animals</subject><subject>APPswe/PS1dE9 transgenic mice</subject><subject>Biomarkers, Pharmacological - analysis</subject><subject>Biomarkers, Pharmacological - blood</subject><subject>Biomarkers, Pharmacological - urine</subject><subject>Chinmedomics</subject><subject>Cyclooctanes - analysis</subject><subject>Dioxoles - analysis</subject><subject>Disease Models, Animal</subject><subject>Drugs, Chinese Herbal - analysis</subject><subject>Drugs, Chinese Herbal - chemistry</subject><subject>Drugs, Chinese Herbal - pharmacology</subject><subject>Efficacy</subject><subject>Ginsenosides - analysis</subject><subject>Lignans - analysis</subject><subject>Male</subject><subject>Medicine, Chinese Traditional - methods</subject><subject>Metabolomics - methods</subject><subject>Mice, Transgenic</subject><subject>Neuroprotective Agents - chemistry</subject><subject>Neuroprotective Agents - pharmacology</subject><subject>Polycyclic Compounds - analysis</subject><subject>Quality markers</subject><subject>Shengmai San</subject><issn>0944-7113</issn><issn>1618-095X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9UcFu1DAUtBCIbgt_gJBvcEn6HCfe-IJUVQUqVeJQKvVmuS_PGy-Js7WTSssX9LPxatsrF_sw82bem2Hsk4BSgFDn23LX70fqygpEW0JdAtRv2Eoo0Ragm_u3bAW6rou1EPKEnaa0BRC1XsN7dlJp1TZSqRV7vu4ozN7tfdjwx8UOft4Xo41_KCbu4jTy257CZrSe39rAd3GaCefE7cb6kGY-RxvShoJHPk5Lovx2NPDJ8Yvhb09-pPgl8c4nshlc0sEGex_y4tPoMQvtsqbF_gN75-yQ6OPLf8buvl_9vvxZ3Pz6cX15cVOgVNVcOOzWpLUW2jWVUpUmsmuwjWvUg3RKEmKFBFJBa1vMmFQCW6e0dIiqBnnGvh51s-3jQmk2o09Iw2AD5QNMBVJA1TSqztT6SMU4pRTJmV30OZu9EWAOHZitOXZgDh0YqE3uII99fnFYHg7Y69Br6Jnw7UigfOeTp2gSegpInY85XNNN_v8O_wBRu53P</recordid><startdate>20180601</startdate><enddate>20180601</enddate><creator>Zhang, Ai- Hua</creator><creator>Yu, Jing-Bo</creator><creator>Sun, Hui</creator><creator>Kong, Ling</creator><creator>Wang, Xiang- Qian</creator><creator>Zhang, Qing-Yu</creator><creator>Wang, Xi-Jun</creator><general>Elsevier GmbH</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20180601</creationdate><title>Identifying quality-markers from Shengmai San protects against transgenic mouse model of Alzheimer's disease using chinmedomics approach</title><author>Zhang, Ai- Hua ; Yu, Jing-Bo ; Sun, Hui ; Kong, Ling ; Wang, Xiang- Qian ; Zhang, Qing-Yu ; Wang, Xi-Jun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c362t-fcd7e99919f526629eea70a5f56b3f63ecc2ce03608a8cea7361c8f693fcc6403</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Alzheimer Disease - drug therapy</topic><topic>Animals</topic><topic>APPswe/PS1dE9 transgenic mice</topic><topic>Biomarkers, Pharmacological - analysis</topic><topic>Biomarkers, Pharmacological - blood</topic><topic>Biomarkers, Pharmacological - urine</topic><topic>Chinmedomics</topic><topic>Cyclooctanes - analysis</topic><topic>Dioxoles - analysis</topic><topic>Disease Models, Animal</topic><topic>Drugs, Chinese Herbal - analysis</topic><topic>Drugs, Chinese Herbal - chemistry</topic><topic>Drugs, Chinese Herbal - pharmacology</topic><topic>Efficacy</topic><topic>Ginsenosides - analysis</topic><topic>Lignans - analysis</topic><topic>Male</topic><topic>Medicine, Chinese Traditional - methods</topic><topic>Metabolomics - methods</topic><topic>Mice, Transgenic</topic><topic>Neuroprotective Agents - chemistry</topic><topic>Neuroprotective Agents - pharmacology</topic><topic>Polycyclic Compounds - analysis</topic><topic>Quality markers</topic><topic>Shengmai San</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Ai- Hua</creatorcontrib><creatorcontrib>Yu, Jing-Bo</creatorcontrib><creatorcontrib>Sun, Hui</creatorcontrib><creatorcontrib>Kong, Ling</creatorcontrib><creatorcontrib>Wang, Xiang- Qian</creatorcontrib><creatorcontrib>Zhang, Qing-Yu</creatorcontrib><creatorcontrib>Wang, Xi-Jun</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Phytomedicine (Stuttgart)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Ai- Hua</au><au>Yu, Jing-Bo</au><au>Sun, Hui</au><au>Kong, Ling</au><au>Wang, Xiang- Qian</au><au>Zhang, Qing-Yu</au><au>Wang, Xi-Jun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identifying quality-markers from Shengmai San protects against transgenic mouse model of Alzheimer's disease using chinmedomics approach</atitle><jtitle>Phytomedicine (Stuttgart)</jtitle><addtitle>Phytomedicine</addtitle><date>2018-06-01</date><risdate>2018</risdate><volume>45</volume><spage>84</spage><epage>92</epage><pages>84-92</pages><issn>0944-7113</issn><eissn>1618-095X</eissn><abstract>Shengmai San (SMS), a Chinese classic herbal formula, has been widely used for the treatment of Qi-Yin deficiency syndrome in Asia. Modern pharmacological studies have shown that SMS improves the cognitive function. However, the quality markers (Q-markers) for SMS still need further research.
Using chinmedocmics strategy to systematically evaluate the efficacy of SMS in the treatment of APPswe/PS1dE9 (APP/PS1) transgenic model of Alzheimer's disease (AD) and to discover the efficacy-related Q-markers.
The effect of SMS on APP/PS1 mice was evaluated by behavioral test, immunohistochemistry and urine metabolic profile, and the urine marker metabolites associated with SMS treatment of AD were characterized using metabolomics method. In the premise of efficacy, Serum Pharmacochemistry of Traditional Chinese Medicine was applied to investigate the in vivo constituents of SMS. A correlation analysis between marker metabolites of therapeutic effects and serum constituents was completed by chinmedomics approach.
SMS had a therapeutic effect on APP/PS1 mice, and 34 potential urine biomarkers were reversed by SMS treatment. A total of 17 in vivo constituents were detected, including 14 prototype components and 3 metabolites. The correlation analysis showed that eight constituents were extremely correlated with protective effects of SMS in AD, and considered as potential Q-markers of SMS, including schisandrin, isoschisandrin, angeloylgomisin Q, gomisin D, angeloylgomisin H, gomisin M2, ginsenoside F1, 20(R)-ginsenoside Rg3.
This study has demonstrated that chinmedomics is novel strategy for discovering the potential effective constituents from herbal formula, which are recognized as Q-markers.
[Display omitted]</abstract><cop>Germany</cop><pub>Elsevier GmbH</pub><pmid>29685366</pmid><doi>10.1016/j.phymed.2018.04.004</doi><tpages>9</tpages></addata></record> |
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| subjects | Alzheimer Disease - drug therapy Animals APPswe/PS1dE9 transgenic mice Biomarkers, Pharmacological - analysis Biomarkers, Pharmacological - blood Biomarkers, Pharmacological - urine Chinmedomics Cyclooctanes - analysis Dioxoles - analysis Disease Models, Animal Drugs, Chinese Herbal - analysis Drugs, Chinese Herbal - chemistry Drugs, Chinese Herbal - pharmacology Efficacy Ginsenosides - analysis Lignans - analysis Male Medicine, Chinese Traditional - methods Metabolomics - methods Mice, Transgenic Neuroprotective Agents - chemistry Neuroprotective Agents - pharmacology Polycyclic Compounds - analysis Quality markers Shengmai San |
| title | Identifying quality-markers from Shengmai San protects against transgenic mouse model of Alzheimer's disease using chinmedomics approach |
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