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Zebrafish Model for Screening Antiatherosclerosis Drugs
This study is aimed at establishing a zebrafish model of AS, which can be applied for high-throughput screening anti-AS drugs. A zebrafish AS model was induced by high cholesterol diet (HCD) and lipopolysaccharide (LPS). In the early stage of modeling, HCD induced zebrafish to show some early sympto...
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Published in: | Oxidative medicine and cellular longevity 2021, Vol.2021 (1), p.9995401 |
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container_title | Oxidative medicine and cellular longevity |
container_volume | 2021 |
creator | Han, Jichun Zhang, Rui Zhang, Xiaofeng Dong, Jing Chen, Minghan Pan, Yumin Liao, Zixian Zhong, Min He, Jingwen Wang, Feiqiang Yue, Yunyun Shang, Jing |
description | This study is aimed at establishing a zebrafish model of AS, which can be applied for high-throughput screening anti-AS drugs. A zebrafish AS model was induced by high cholesterol diet (HCD) and lipopolysaccharide (LPS). In the early stage of modeling, HCD induced zebrafish to show some early symptoms similar to human AS, mainly cholesterol accumulation, vascular inflammation, lipid metabolism disorder, and oxidative stress. In addition to lipid metabolism disorders, LPS also induced the same symptoms. And when HCD and LPS exist at the same time, these AS symptoms in zebrafish become more severe. When the modeling time reached 45 days, HCD and LPS induce the formation of plaques in zebrafish blood vessels, and these plaques contain fibrous tissue and lipids, which are similar to human AS plaques. We also evaluated the efficacy of some anti-AS drugs (atorvastatin, aspirin, and vitamin C) through these zebrafish AS models. The results found that atorvastatin can significantly reduce the symptoms of AS induced by HCD and LPS, and aspirin and vitamins can significantly reduce the symptoms of AS induced by LPS. It is feasible to use zebrafish to establish an AS model, and the zebrafish AS model can be used for high-throughput screening of anti-AS drugs. |
doi_str_mv | 10.1155/2021/9995401 |
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A zebrafish AS model was induced by high cholesterol diet (HCD) and lipopolysaccharide (LPS). In the early stage of modeling, HCD induced zebrafish to show some early symptoms similar to human AS, mainly cholesterol accumulation, vascular inflammation, lipid metabolism disorder, and oxidative stress. In addition to lipid metabolism disorders, LPS also induced the same symptoms. And when HCD and LPS exist at the same time, these AS symptoms in zebrafish become more severe. When the modeling time reached 45 days, HCD and LPS induce the formation of plaques in zebrafish blood vessels, and these plaques contain fibrous tissue and lipids, which are similar to human AS plaques. We also evaluated the efficacy of some anti-AS drugs (atorvastatin, aspirin, and vitamin C) through these zebrafish AS models. The results found that atorvastatin can significantly reduce the symptoms of AS induced by HCD and LPS, and aspirin and vitamins can significantly reduce the symptoms of AS induced by LPS. It is feasible to use zebrafish to establish an AS model, and the zebrafish AS model can be used for high-throughput screening of anti-AS drugs.</description><identifier>ISSN: 1942-0900</identifier><identifier>ISSN: 1942-0994</identifier><identifier>EISSN: 1942-0994</identifier><identifier>DOI: 10.1155/2021/9995401</identifier><identifier>PMID: 34257830</identifier><language>eng</language><publisher>United States: Hindawi</publisher><subject>Animals ; Atherosclerosis - drug therapy ; Cholesterol ; Cholesterol - metabolism ; Disease ; Disease Models, Animal ; Drugs ; Fasting ; Inflammation ; Lipid Metabolism - drug effects ; Lipids ; Mammals ; Neutrophils ; Software ; Statistical analysis ; Variance analysis ; Zebrafish</subject><ispartof>Oxidative medicine and cellular longevity, 2021, Vol.2021 (1), p.9995401</ispartof><rights>Copyright © 2021 Jichun Han et al.</rights><rights>Copyright © 2021 Jichun Han et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0</rights><rights>Copyright © 2021 Jichun Han et al. 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c448t-bbcad3248cbc2f7894af060258a0f45c1c3052a5f148bbccf862a2e69e0bbb083</citedby><cites>FETCH-LOGICAL-c448t-bbcad3248cbc2f7894af060258a0f45c1c3052a5f148bbccf862a2e69e0bbb083</cites><orcidid>0000-0002-2650-0519 ; 0000-0003-1052-9015 ; 0000-0002-6757-8427</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2548294898/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2548294898?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,4010,25731,27900,27901,27902,36989,36990,44566,75096</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34257830$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Ciobica, Alin</contributor><creatorcontrib>Han, Jichun</creatorcontrib><creatorcontrib>Zhang, Rui</creatorcontrib><creatorcontrib>Zhang, Xiaofeng</creatorcontrib><creatorcontrib>Dong, Jing</creatorcontrib><creatorcontrib>Chen, Minghan</creatorcontrib><creatorcontrib>Pan, Yumin</creatorcontrib><creatorcontrib>Liao, Zixian</creatorcontrib><creatorcontrib>Zhong, Min</creatorcontrib><creatorcontrib>He, Jingwen</creatorcontrib><creatorcontrib>Wang, Feiqiang</creatorcontrib><creatorcontrib>Yue, Yunyun</creatorcontrib><creatorcontrib>Shang, Jing</creatorcontrib><title>Zebrafish Model for Screening Antiatherosclerosis Drugs</title><title>Oxidative medicine and cellular longevity</title><addtitle>Oxid Med Cell Longev</addtitle><description>This study is aimed at establishing a zebrafish model of AS, which can be applied for high-throughput screening anti-AS drugs. A zebrafish AS model was induced by high cholesterol diet (HCD) and lipopolysaccharide (LPS). In the early stage of modeling, HCD induced zebrafish to show some early symptoms similar to human AS, mainly cholesterol accumulation, vascular inflammation, lipid metabolism disorder, and oxidative stress. In addition to lipid metabolism disorders, LPS also induced the same symptoms. And when HCD and LPS exist at the same time, these AS symptoms in zebrafish become more severe. When the modeling time reached 45 days, HCD and LPS induce the formation of plaques in zebrafish blood vessels, and these plaques contain fibrous tissue and lipids, which are similar to human AS plaques. We also evaluated the efficacy of some anti-AS drugs (atorvastatin, aspirin, and vitamin C) through these zebrafish AS models. The results found that atorvastatin can significantly reduce the symptoms of AS induced by HCD and LPS, and aspirin and vitamins can significantly reduce the symptoms of AS induced by LPS. It is feasible to use zebrafish to establish an AS model, and the zebrafish AS model can be used for high-throughput screening of anti-AS drugs.</description><subject>Animals</subject><subject>Atherosclerosis - drug therapy</subject><subject>Cholesterol</subject><subject>Cholesterol - metabolism</subject><subject>Disease</subject><subject>Disease Models, Animal</subject><subject>Drugs</subject><subject>Fasting</subject><subject>Inflammation</subject><subject>Lipid Metabolism - drug effects</subject><subject>Lipids</subject><subject>Mammals</subject><subject>Neutrophils</subject><subject>Software</subject><subject>Statistical analysis</subject><subject>Variance analysis</subject><subject>Zebrafish</subject><issn>1942-0900</issn><issn>1942-0994</issn><issn>1942-0994</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNp9kc9LwzAUx4MoTqc3z1LwImjdS5p0yUUY8ydMPKgXLyFNky2ja2fSKv73tmwO9eDlvQfvw_f9-CJ0hOECY8YGBAgeCCEYBbyF9rCgJAYh6PamBuih_RDmAGlCKN5FvYQSNuQJ7KHhq8m8si7MoocqN0VkKx89aW9M6cppNCprp-qZ8VXQRRddiK58Mw0HaMeqIpjDde6jl5vr5_FdPHm8vR-PJrGmlNdxlmmVt0O5zjSxQy6ospACYVyBpUxjnQAjillMectqy1OiiEmFgSzLgCd9dLnSXTbZwuTalLVXhVx6t1D-U1bKyd-d0s3ktHqXnFBGCG4FTtcCvnprTKjlwgVtikKVpmqCJIxhxiFJu1knf9B51fiyPa-lKCeCctFR5ytKt-8I3tjNMhhk54jsHJFrR1r8-OcBG_jbghY4WwEzV-bqw_0v9wVZYpMz</recordid><startdate>2021</startdate><enddate>2021</enddate><creator>Han, Jichun</creator><creator>Zhang, Rui</creator><creator>Zhang, Xiaofeng</creator><creator>Dong, Jing</creator><creator>Chen, Minghan</creator><creator>Pan, Yumin</creator><creator>Liao, Zixian</creator><creator>Zhong, Min</creator><creator>He, Jingwen</creator><creator>Wang, Feiqiang</creator><creator>Yue, Yunyun</creator><creator>Shang, Jing</creator><general>Hindawi</general><general>Hindawi Limited</general><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PIMPY</scope><scope>PJZUB</scope><scope>PKEHL</scope><scope>PPXIY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-2650-0519</orcidid><orcidid>https://orcid.org/0000-0003-1052-9015</orcidid><orcidid>https://orcid.org/0000-0002-6757-8427</orcidid></search><sort><creationdate>2021</creationdate><title>Zebrafish Model for Screening Antiatherosclerosis Drugs</title><author>Han, Jichun ; Zhang, Rui ; Zhang, Xiaofeng ; Dong, Jing ; Chen, Minghan ; Pan, Yumin ; Liao, Zixian ; Zhong, Min ; He, Jingwen ; Wang, Feiqiang ; Yue, Yunyun ; Shang, Jing</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c448t-bbcad3248cbc2f7894af060258a0f45c1c3052a5f148bbccf862a2e69e0bbb083</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Animals</topic><topic>Atherosclerosis - drug therapy</topic><topic>Cholesterol</topic><topic>Cholesterol - metabolism</topic><topic>Disease</topic><topic>Disease Models, Animal</topic><topic>Drugs</topic><topic>Fasting</topic><topic>Inflammation</topic><topic>Lipid Metabolism - drug effects</topic><topic>Lipids</topic><topic>Mammals</topic><topic>Neutrophils</topic><topic>Software</topic><topic>Statistical analysis</topic><topic>Variance analysis</topic><topic>Zebrafish</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Han, Jichun</creatorcontrib><creatorcontrib>Zhang, Rui</creatorcontrib><creatorcontrib>Zhang, Xiaofeng</creatorcontrib><creatorcontrib>Dong, Jing</creatorcontrib><creatorcontrib>Chen, Minghan</creatorcontrib><creatorcontrib>Pan, Yumin</creatorcontrib><creatorcontrib>Liao, Zixian</creatorcontrib><creatorcontrib>Zhong, Min</creatorcontrib><creatorcontrib>He, Jingwen</creatorcontrib><creatorcontrib>Wang, Feiqiang</creatorcontrib><creatorcontrib>Yue, Yunyun</creatorcontrib><creatorcontrib>Shang, Jing</creatorcontrib><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest Health & Medical Research Collection</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Health & Nursing</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Oxidative medicine and cellular longevity</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Han, Jichun</au><au>Zhang, Rui</au><au>Zhang, Xiaofeng</au><au>Dong, Jing</au><au>Chen, Minghan</au><au>Pan, Yumin</au><au>Liao, Zixian</au><au>Zhong, Min</au><au>He, Jingwen</au><au>Wang, Feiqiang</au><au>Yue, Yunyun</au><au>Shang, Jing</au><au>Ciobica, Alin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Zebrafish Model for Screening Antiatherosclerosis Drugs</atitle><jtitle>Oxidative medicine and cellular longevity</jtitle><addtitle>Oxid Med Cell Longev</addtitle><date>2021</date><risdate>2021</risdate><volume>2021</volume><issue>1</issue><spage>9995401</spage><pages>9995401-</pages><issn>1942-0900</issn><issn>1942-0994</issn><eissn>1942-0994</eissn><abstract>This study is aimed at establishing a zebrafish model of AS, which can be applied for high-throughput screening anti-AS drugs. A zebrafish AS model was induced by high cholesterol diet (HCD) and lipopolysaccharide (LPS). In the early stage of modeling, HCD induced zebrafish to show some early symptoms similar to human AS, mainly cholesterol accumulation, vascular inflammation, lipid metabolism disorder, and oxidative stress. In addition to lipid metabolism disorders, LPS also induced the same symptoms. And when HCD and LPS exist at the same time, these AS symptoms in zebrafish become more severe. When the modeling time reached 45 days, HCD and LPS induce the formation of plaques in zebrafish blood vessels, and these plaques contain fibrous tissue and lipids, which are similar to human AS plaques. We also evaluated the efficacy of some anti-AS drugs (atorvastatin, aspirin, and vitamin C) through these zebrafish AS models. The results found that atorvastatin can significantly reduce the symptoms of AS induced by HCD and LPS, and aspirin and vitamins can significantly reduce the symptoms of AS induced by LPS. It is feasible to use zebrafish to establish an AS model, and the zebrafish AS model can be used for high-throughput screening of anti-AS drugs.</abstract><cop>United States</cop><pub>Hindawi</pub><pmid>34257830</pmid><doi>10.1155/2021/9995401</doi><orcidid>https://orcid.org/0000-0002-2650-0519</orcidid><orcidid>https://orcid.org/0000-0003-1052-9015</orcidid><orcidid>https://orcid.org/0000-0002-6757-8427</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Animals Atherosclerosis - drug therapy Cholesterol Cholesterol - metabolism Disease Disease Models, Animal Drugs Fasting Inflammation Lipid Metabolism - drug effects Lipids Mammals Neutrophils Software Statistical analysis Variance analysis Zebrafish |
title | Zebrafish Model for Screening Antiatherosclerosis Drugs |
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