Establishment of a workflow for high-throughput identification of anti-inflammatory peptides from sea cucumbers
[Display omitted] •Sea cucumber major yolk proteins are predicted as precursor proteins for peptides.•A portfolio of 170 peptides is identified from major yolk protein hydrolysates.•Twelve potential anti-inflammatory peptides are identified through virtual screening.•Peptides effectively inhibit NO...
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Veröffentlicht in: | Food research international 2024-12, Vol.197 (Pt 1), p.115171, Article 115171 |
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creator | Jiang, Bingxue Liu, Jinqiu Zhu, Zihao Fu, Linlan Chang, Yaoguang Wang, Yanchao Xue, Changhu |
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•Sea cucumber major yolk proteins are predicted as precursor proteins for peptides.•A portfolio of 170 peptides is identified from major yolk protein hydrolysates.•Twelve potential anti-inflammatory peptides are identified through virtual screening.•Peptides effectively inhibit NO production and pro-inflammatory cytokine release.•Peptides bind to active sites of COX-2 and iNOS through hydrophobic interactions.
Developing an effective workflow for screening anti-inflammatory peptides is crucial for discovering novel food-derived anti-inflammatory peptides and optimizing the screening and identification process of bioactive peptides. Virtual screening identified three major yolk proteins as target precursor proteins for anti-inflammatory peptides in sea cucumbers. A portfolio of 170 peptides was identified from hydrolysates after 9 h of alcalase treatment by combining antioxidant activity determination and peptidomics analysis. Among these, 12 high-confidence anti-inflammatory peptides were identified through virtual screening. Three of these peptides were shown to effectively inhibit the production of NO and the release of pro-inflammatory cytokines in RAW264.7 cells. Molecular docking demonstrated that these three peptides exerted their anti-inflammatory effects primarily by binding to the active sites of cyclooxygenase-2 and inducible nitric oxide synthase through hydrophobic interactions. This study provided a reference workflow for screening anti-inflammatory peptides, facilitating the discovery of novel anti-inflammatory peptides and the high-value utilization of sea cucumber cooking liquid. |
doi_str_mv | 10.1016/j.foodres.2024.115171 |
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•Sea cucumber major yolk proteins are predicted as precursor proteins for peptides.•A portfolio of 170 peptides is identified from major yolk protein hydrolysates.•Twelve potential anti-inflammatory peptides are identified through virtual screening.•Peptides effectively inhibit NO production and pro-inflammatory cytokine release.•Peptides bind to active sites of COX-2 and iNOS through hydrophobic interactions.
Developing an effective workflow for screening anti-inflammatory peptides is crucial for discovering novel food-derived anti-inflammatory peptides and optimizing the screening and identification process of bioactive peptides. Virtual screening identified three major yolk proteins as target precursor proteins for anti-inflammatory peptides in sea cucumbers. A portfolio of 170 peptides was identified from hydrolysates after 9 h of alcalase treatment by combining antioxidant activity determination and peptidomics analysis. Among these, 12 high-confidence anti-inflammatory peptides were identified through virtual screening. Three of these peptides were shown to effectively inhibit the production of NO and the release of pro-inflammatory cytokines in RAW264.7 cells. Molecular docking demonstrated that these three peptides exerted their anti-inflammatory effects primarily by binding to the active sites of cyclooxygenase-2 and inducible nitric oxide synthase through hydrophobic interactions. This study provided a reference workflow for screening anti-inflammatory peptides, facilitating the discovery of novel anti-inflammatory peptides and the high-value utilization of sea cucumber cooking liquid.</description><identifier>ISSN: 0963-9969</identifier><identifier>ISSN: 1873-7145</identifier><identifier>EISSN: 1873-7145</identifier><identifier>DOI: 10.1016/j.foodres.2024.115171</identifier><identifier>PMID: 39593382</identifier><language>eng</language><publisher>Canada: Elsevier Ltd</publisher><subject>Animals ; Anti-Inflammatory Agents - pharmacology ; Anti-inflammatory peptides ; Antioxidants - analysis ; Antioxidants - pharmacology ; Cyclooxygenase 2 - metabolism ; Cytokines - metabolism ; High-Throughput Screening Assays - methods ; Major yolk protein ; Mice ; Molecular docking ; Molecular Docking Simulation ; Nitric Oxide - metabolism ; Nitric Oxide Synthase Type II - metabolism ; Peptides - chemistry ; RAW 264.7 Cells ; Sea cucumber ; Sea Cucumbers - chemistry ; Workflow</subject><ispartof>Food research international, 2024-12, Vol.197 (Pt 1), p.115171, Article 115171</ispartof><rights>2024 Elsevier Ltd</rights><rights>Copyright © 2024 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c243t-dbf1e136fa32e4584948d2a523ab3336d0830fbeba96bbbdaf9af5d5d89e4e9f3</cites><orcidid>0000-0003-4944-4297</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.foodres.2024.115171$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39593382$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jiang, Bingxue</creatorcontrib><creatorcontrib>Liu, Jinqiu</creatorcontrib><creatorcontrib>Zhu, Zihao</creatorcontrib><creatorcontrib>Fu, Linlan</creatorcontrib><creatorcontrib>Chang, Yaoguang</creatorcontrib><creatorcontrib>Wang, Yanchao</creatorcontrib><creatorcontrib>Xue, Changhu</creatorcontrib><title>Establishment of a workflow for high-throughput identification of anti-inflammatory peptides from sea cucumbers</title><title>Food research international</title><addtitle>Food Res Int</addtitle><description>[Display omitted]
•Sea cucumber major yolk proteins are predicted as precursor proteins for peptides.•A portfolio of 170 peptides is identified from major yolk protein hydrolysates.•Twelve potential anti-inflammatory peptides are identified through virtual screening.•Peptides effectively inhibit NO production and pro-inflammatory cytokine release.•Peptides bind to active sites of COX-2 and iNOS through hydrophobic interactions.
Developing an effective workflow for screening anti-inflammatory peptides is crucial for discovering novel food-derived anti-inflammatory peptides and optimizing the screening and identification process of bioactive peptides. Virtual screening identified three major yolk proteins as target precursor proteins for anti-inflammatory peptides in sea cucumbers. A portfolio of 170 peptides was identified from hydrolysates after 9 h of alcalase treatment by combining antioxidant activity determination and peptidomics analysis. Among these, 12 high-confidence anti-inflammatory peptides were identified through virtual screening. Three of these peptides were shown to effectively inhibit the production of NO and the release of pro-inflammatory cytokines in RAW264.7 cells. Molecular docking demonstrated that these three peptides exerted their anti-inflammatory effects primarily by binding to the active sites of cyclooxygenase-2 and inducible nitric oxide synthase through hydrophobic interactions. This study provided a reference workflow for screening anti-inflammatory peptides, facilitating the discovery of novel anti-inflammatory peptides and the high-value utilization of sea cucumber cooking liquid.</description><subject>Animals</subject><subject>Anti-Inflammatory Agents - pharmacology</subject><subject>Anti-inflammatory peptides</subject><subject>Antioxidants - analysis</subject><subject>Antioxidants - pharmacology</subject><subject>Cyclooxygenase 2 - metabolism</subject><subject>Cytokines - metabolism</subject><subject>High-Throughput Screening Assays - methods</subject><subject>Major yolk protein</subject><subject>Mice</subject><subject>Molecular docking</subject><subject>Molecular Docking Simulation</subject><subject>Nitric Oxide - metabolism</subject><subject>Nitric Oxide Synthase Type II - metabolism</subject><subject>Peptides - chemistry</subject><subject>RAW 264.7 Cells</subject><subject>Sea cucumber</subject><subject>Sea Cucumbers - chemistry</subject><subject>Workflow</subject><issn>0963-9969</issn><issn>1873-7145</issn><issn>1873-7145</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkE1v1DAQhi0EotvCTwD5yCWLnbGz8QmhqkClSlzgbPlj3HhJ4mA7VP33pOzCldNopOedV_MQ8oazPWe8e3_ch5R8xrJvWSv2nEt-4M_IjvcHaA5cyOdkx1QHjVKduiCXpRwZY508qJfkApRUAH27I-mmVGPHWIYJ50pToIY-pPwjjOmBhpTpEO-Hpg45rffDslYa_cbFEJ2pMc1_AtvexDmMZppMTfmRLrjUjSs05DTRgoa61a2TxVxekRfBjAVfn-cV-f7p5tv1l-bu6-fb6493jWsF1MbbwJFDFwy0KGQvlOh9a2QLxgJA51kPLFi0RnXWWm-CMkF66XuFAlWAK_LudHfJ6eeKpeopFofjaGZMa9HAAQQXjMGGyhPqciolY9BLjpPJj5oz_eRaH_XZtX5yrU-ut9zbc8VqJ_T_Un_lbsCHE4Dbo78iZl1cxNmhjxld1T7F_1T8BtjrljM</recordid><startdate>202412</startdate><enddate>202412</enddate><creator>Jiang, Bingxue</creator><creator>Liu, Jinqiu</creator><creator>Zhu, Zihao</creator><creator>Fu, Linlan</creator><creator>Chang, Yaoguang</creator><creator>Wang, Yanchao</creator><creator>Xue, Changhu</creator><general>Elsevier Ltd</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><orcidid>https://orcid.org/0000-0003-4944-4297</orcidid></search><sort><creationdate>202412</creationdate><title>Establishment of a workflow for high-throughput identification of anti-inflammatory peptides from sea cucumbers</title><author>Jiang, Bingxue ; Liu, Jinqiu ; Zhu, Zihao ; Fu, Linlan ; Chang, Yaoguang ; Wang, Yanchao ; Xue, Changhu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c243t-dbf1e136fa32e4584948d2a523ab3336d0830fbeba96bbbdaf9af5d5d89e4e9f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Animals</topic><topic>Anti-Inflammatory Agents - pharmacology</topic><topic>Anti-inflammatory peptides</topic><topic>Antioxidants - analysis</topic><topic>Antioxidants - pharmacology</topic><topic>Cyclooxygenase 2 - metabolism</topic><topic>Cytokines - metabolism</topic><topic>High-Throughput Screening Assays - methods</topic><topic>Major yolk protein</topic><topic>Mice</topic><topic>Molecular docking</topic><topic>Molecular Docking Simulation</topic><topic>Nitric Oxide - metabolism</topic><topic>Nitric Oxide Synthase Type II - metabolism</topic><topic>Peptides - chemistry</topic><topic>RAW 264.7 Cells</topic><topic>Sea cucumber</topic><topic>Sea Cucumbers - chemistry</topic><topic>Workflow</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jiang, Bingxue</creatorcontrib><creatorcontrib>Liu, Jinqiu</creatorcontrib><creatorcontrib>Zhu, Zihao</creatorcontrib><creatorcontrib>Fu, Linlan</creatorcontrib><creatorcontrib>Chang, Yaoguang</creatorcontrib><creatorcontrib>Wang, Yanchao</creatorcontrib><creatorcontrib>Xue, Changhu</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>Food research international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jiang, Bingxue</au><au>Liu, Jinqiu</au><au>Zhu, Zihao</au><au>Fu, Linlan</au><au>Chang, Yaoguang</au><au>Wang, Yanchao</au><au>Xue, Changhu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Establishment of a workflow for high-throughput identification of anti-inflammatory peptides from sea cucumbers</atitle><jtitle>Food research international</jtitle><addtitle>Food Res Int</addtitle><date>2024-12</date><risdate>2024</risdate><volume>197</volume><issue>Pt 1</issue><spage>115171</spage><pages>115171-</pages><artnum>115171</artnum><issn>0963-9969</issn><issn>1873-7145</issn><eissn>1873-7145</eissn><abstract>[Display omitted]
•Sea cucumber major yolk proteins are predicted as precursor proteins for peptides.•A portfolio of 170 peptides is identified from major yolk protein hydrolysates.•Twelve potential anti-inflammatory peptides are identified through virtual screening.•Peptides effectively inhibit NO production and pro-inflammatory cytokine release.•Peptides bind to active sites of COX-2 and iNOS through hydrophobic interactions.
Developing an effective workflow for screening anti-inflammatory peptides is crucial for discovering novel food-derived anti-inflammatory peptides and optimizing the screening and identification process of bioactive peptides. Virtual screening identified three major yolk proteins as target precursor proteins for anti-inflammatory peptides in sea cucumbers. A portfolio of 170 peptides was identified from hydrolysates after 9 h of alcalase treatment by combining antioxidant activity determination and peptidomics analysis. Among these, 12 high-confidence anti-inflammatory peptides were identified through virtual screening. Three of these peptides were shown to effectively inhibit the production of NO and the release of pro-inflammatory cytokines in RAW264.7 cells. Molecular docking demonstrated that these three peptides exerted their anti-inflammatory effects primarily by binding to the active sites of cyclooxygenase-2 and inducible nitric oxide synthase through hydrophobic interactions. This study provided a reference workflow for screening anti-inflammatory peptides, facilitating the discovery of novel anti-inflammatory peptides and the high-value utilization of sea cucumber cooking liquid.</abstract><cop>Canada</cop><pub>Elsevier Ltd</pub><pmid>39593382</pmid><doi>10.1016/j.foodres.2024.115171</doi><orcidid>https://orcid.org/0000-0003-4944-4297</orcidid></addata></record> |
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subjects | Animals Anti-Inflammatory Agents - pharmacology Anti-inflammatory peptides Antioxidants - analysis Antioxidants - pharmacology Cyclooxygenase 2 - metabolism Cytokines - metabolism High-Throughput Screening Assays - methods Major yolk protein Mice Molecular docking Molecular Docking Simulation Nitric Oxide - metabolism Nitric Oxide Synthase Type II - metabolism Peptides - chemistry RAW 264.7 Cells Sea cucumber Sea Cucumbers - chemistry Workflow |
title | Establishment of a workflow for high-throughput identification of anti-inflammatory peptides from sea cucumbers |
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