Anti-inflammatory/anti-oxidant properties and the UPLC-QTOF/MS-based metabolomics discrimination of three yellow camellia species

[Display omitted] •A sequential-optimization based new statistical model is developed for chemical pattern recognition of three yellow camellia species.•The yellow camellia species could be well discriminated from each other.•CC and CE present certain similarity on anti-inflammation and anti-oxidati...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Food research international 2022-10, Vol.160, p.111628-111628, Article 111628
Hauptverfasser: Zhao, Mingming, Linghu, Ke-Gang, Xiao, Linxuan, Hua, Tianyi, Zhao, Guanding, Chen, Qiling, Xiong, Shihang, Shen, Liyu, Yu, Jinyu, Hou, Xiaotao, Hao, Erwei, Du, Zhengcai, Deng, Jiagang, Bai, Gang, Chen, Xiaojia, Li, Ling, Li, Peng, Yu, Hua
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 111628
container_issue
container_start_page 111628
container_title Food research international
container_volume 160
creator Zhao, Mingming
Linghu, Ke-Gang
Xiao, Linxuan
Hua, Tianyi
Zhao, Guanding
Chen, Qiling
Xiong, Shihang
Shen, Liyu
Yu, Jinyu
Hou, Xiaotao
Hao, Erwei
Du, Zhengcai
Deng, Jiagang
Bai, Gang
Chen, Xiaojia
Li, Ling
Li, Peng
Yu, Hua
description [Display omitted] •A sequential-optimization based new statistical model is developed for chemical pattern recognition of three yellow camellia species.•The yellow camellia species could be well discriminated from each other.•CC and CE present certain similarity on anti-inflammation and anti-oxidation, which is significantly different from CI. The species of Camellia nitidissima Chi (CC) and C. euphlebia Merr. ex Sealy (CE) are two most important plant sources for commercialized herbal tea (Jinhuacha) worldwide. However, some other species of camellia genus are also sold as alternatives in market due to the great commercial value. In this study, the similarity and difference of CC and CE as well as C.insularis (CI) are comprehensively compared both in chemistry and pharmacology. Based on the ultraperformance liquid chromatography coupled with a hybrid quadrupole orthogonal time-of-flight mass spectrometer(UPLC-QTOF-MS) analysis, a sequential-optimization based new statistical model has been developed by combining the untargeted metabolomics and fingerprint analyses, and successfully applied for chemical pattern recognition and discrimination of three yellow camellias species. The results indicated that CC, CE and CI could be well discriminated with the optimized chemical combination including quercetin-3-O-rhamnoside (C2), okicamelliaside (C4), Kaempferol 7-O-rhamnoside (C6), Corymboside (C9), asiatic acid-glc-rha-xyl (C11) and 3′-methy-4′-glucoside-ellagic acid (C14). Moreover, the 30 % ethanolic extracts of yellow camellias species presented the optimal activities on anti-inflammation/anti-oxidation in LPS-stimulated Raw264.7 macrophages dose-dependently. The averaged 50 % inhibitory concentrations (IC50) on NO production were 754.68 ± 50.96, 1182.39 ± 22.10, 1527.83 ± 106.24 μg(herb)/mL, and ROS production were 311.70 ± 26.57, 332.64 ± 25.46, 917.60 ± 41.36 μg(herb)/mL for CC, CE and CI, respectively. The results indicated a certain similarity of CC and CE, as well as their significant difference from CI.
doi_str_mv 10.1016/j.foodres.2022.111628
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2712854569</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S096399692200686X</els_id><sourcerecordid>2712854569</sourcerecordid><originalsourceid>FETCH-LOGICAL-c342t-8d3ca364dc3e822ccce17cd90fcfcd720c412606b50063358735da86c096d1223</originalsourceid><addsrcrecordid>eNqFkElPwzAQhS0EEmX5CUg-cknrJXGSE0IVm1QECDhb7ngiXCVxsc3SI_8cV-XOaUaj957me4SccTbljKvZatp5bwPGqWBCTDnnSjR7ZMKbWhY1L6t9MmGtkkXbqvaQHMW4Yoypqm4n5OdyTK5wY9ebYTDJh83MbC_-29m80HXwawzJYaRmtDS9IX19XMyLp5eH69n9c7E0ES0dMJml7_3gIFLrIgQ3uNEk50fqu-wKiHSDfe-_KJghL87QuEbIuSfkoDN9xNO_eUxer69e5rfF4uHmbn65KECWIhWNlWCkKi1IbIQAAOQ12JZ10IGtBYOSC8XUsspoUlaZvbKmUZDJLRdCHpPzXW5Gev_AmPSQH82vmBH9R9Si5qKpykq1WVrtpBB8jAE7vc5AJmw0Z3pbuV7pv8r1tnK9qzz7LnY-zByfDoOOmXAEtC4gJG29-yfhFxBbjuI</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2712854569</pqid></control><display><type>article</type><title>Anti-inflammatory/anti-oxidant properties and the UPLC-QTOF/MS-based metabolomics discrimination of three yellow camellia species</title><source>Elsevier ScienceDirect Journals</source><creator>Zhao, Mingming ; Linghu, Ke-Gang ; Xiao, Linxuan ; Hua, Tianyi ; Zhao, Guanding ; Chen, Qiling ; Xiong, Shihang ; Shen, Liyu ; Yu, Jinyu ; Hou, Xiaotao ; Hao, Erwei ; Du, Zhengcai ; Deng, Jiagang ; Bai, Gang ; Chen, Xiaojia ; Li, Ling ; Li, Peng ; Yu, Hua</creator><creatorcontrib>Zhao, Mingming ; Linghu, Ke-Gang ; Xiao, Linxuan ; Hua, Tianyi ; Zhao, Guanding ; Chen, Qiling ; Xiong, Shihang ; Shen, Liyu ; Yu, Jinyu ; Hou, Xiaotao ; Hao, Erwei ; Du, Zhengcai ; Deng, Jiagang ; Bai, Gang ; Chen, Xiaojia ; Li, Ling ; Li, Peng ; Yu, Hua</creatorcontrib><description>[Display omitted] •A sequential-optimization based new statistical model is developed for chemical pattern recognition of three yellow camellia species.•The yellow camellia species could be well discriminated from each other.•CC and CE present certain similarity on anti-inflammation and anti-oxidation, which is significantly different from CI. The species of Camellia nitidissima Chi (CC) and C. euphlebia Merr. ex Sealy (CE) are two most important plant sources for commercialized herbal tea (Jinhuacha) worldwide. However, some other species of camellia genus are also sold as alternatives in market due to the great commercial value. In this study, the similarity and difference of CC and CE as well as C.insularis (CI) are comprehensively compared both in chemistry and pharmacology. Based on the ultraperformance liquid chromatography coupled with a hybrid quadrupole orthogonal time-of-flight mass spectrometer(UPLC-QTOF-MS) analysis, a sequential-optimization based new statistical model has been developed by combining the untargeted metabolomics and fingerprint analyses, and successfully applied for chemical pattern recognition and discrimination of three yellow camellias species. The results indicated that CC, CE and CI could be well discriminated with the optimized chemical combination including quercetin-3-O-rhamnoside (C2), okicamelliaside (C4), Kaempferol 7-O-rhamnoside (C6), Corymboside (C9), asiatic acid-glc-rha-xyl (C11) and 3′-methy-4′-glucoside-ellagic acid (C14). Moreover, the 30 % ethanolic extracts of yellow camellias species presented the optimal activities on anti-inflammation/anti-oxidation in LPS-stimulated Raw264.7 macrophages dose-dependently. The averaged 50 % inhibitory concentrations (IC50) on NO production were 754.68 ± 50.96, 1182.39 ± 22.10, 1527.83 ± 106.24 μg(herb)/mL, and ROS production were 311.70 ± 26.57, 332.64 ± 25.46, 917.60 ± 41.36 μg(herb)/mL for CC, CE and CI, respectively. The results indicated a certain similarity of CC and CE, as well as their significant difference from CI.</description><identifier>ISSN: 0963-9969</identifier><identifier>EISSN: 1873-7145</identifier><identifier>DOI: 10.1016/j.foodres.2022.111628</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Anti-inflammation ; Anti-oxidant ; Discrimination ; Fingerprint ; Metabolomics ; Yellow camellias</subject><ispartof>Food research international, 2022-10, Vol.160, p.111628-111628, Article 111628</ispartof><rights>2022 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c342t-8d3ca364dc3e822ccce17cd90fcfcd720c412606b50063358735da86c096d1223</citedby><cites>FETCH-LOGICAL-c342t-8d3ca364dc3e822ccce17cd90fcfcd720c412606b50063358735da86c096d1223</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S096399692200686X$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Zhao, Mingming</creatorcontrib><creatorcontrib>Linghu, Ke-Gang</creatorcontrib><creatorcontrib>Xiao, Linxuan</creatorcontrib><creatorcontrib>Hua, Tianyi</creatorcontrib><creatorcontrib>Zhao, Guanding</creatorcontrib><creatorcontrib>Chen, Qiling</creatorcontrib><creatorcontrib>Xiong, Shihang</creatorcontrib><creatorcontrib>Shen, Liyu</creatorcontrib><creatorcontrib>Yu, Jinyu</creatorcontrib><creatorcontrib>Hou, Xiaotao</creatorcontrib><creatorcontrib>Hao, Erwei</creatorcontrib><creatorcontrib>Du, Zhengcai</creatorcontrib><creatorcontrib>Deng, Jiagang</creatorcontrib><creatorcontrib>Bai, Gang</creatorcontrib><creatorcontrib>Chen, Xiaojia</creatorcontrib><creatorcontrib>Li, Ling</creatorcontrib><creatorcontrib>Li, Peng</creatorcontrib><creatorcontrib>Yu, Hua</creatorcontrib><title>Anti-inflammatory/anti-oxidant properties and the UPLC-QTOF/MS-based metabolomics discrimination of three yellow camellia species</title><title>Food research international</title><description>[Display omitted] •A sequential-optimization based new statistical model is developed for chemical pattern recognition of three yellow camellia species.•The yellow camellia species could be well discriminated from each other.•CC and CE present certain similarity on anti-inflammation and anti-oxidation, which is significantly different from CI. The species of Camellia nitidissima Chi (CC) and C. euphlebia Merr. ex Sealy (CE) are two most important plant sources for commercialized herbal tea (Jinhuacha) worldwide. However, some other species of camellia genus are also sold as alternatives in market due to the great commercial value. In this study, the similarity and difference of CC and CE as well as C.insularis (CI) are comprehensively compared both in chemistry and pharmacology. Based on the ultraperformance liquid chromatography coupled with a hybrid quadrupole orthogonal time-of-flight mass spectrometer(UPLC-QTOF-MS) analysis, a sequential-optimization based new statistical model has been developed by combining the untargeted metabolomics and fingerprint analyses, and successfully applied for chemical pattern recognition and discrimination of three yellow camellias species. The results indicated that CC, CE and CI could be well discriminated with the optimized chemical combination including quercetin-3-O-rhamnoside (C2), okicamelliaside (C4), Kaempferol 7-O-rhamnoside (C6), Corymboside (C9), asiatic acid-glc-rha-xyl (C11) and 3′-methy-4′-glucoside-ellagic acid (C14). Moreover, the 30 % ethanolic extracts of yellow camellias species presented the optimal activities on anti-inflammation/anti-oxidation in LPS-stimulated Raw264.7 macrophages dose-dependently. The averaged 50 % inhibitory concentrations (IC50) on NO production were 754.68 ± 50.96, 1182.39 ± 22.10, 1527.83 ± 106.24 μg(herb)/mL, and ROS production were 311.70 ± 26.57, 332.64 ± 25.46, 917.60 ± 41.36 μg(herb)/mL for CC, CE and CI, respectively. The results indicated a certain similarity of CC and CE, as well as their significant difference from CI.</description><subject>Anti-inflammation</subject><subject>Anti-oxidant</subject><subject>Discrimination</subject><subject>Fingerprint</subject><subject>Metabolomics</subject><subject>Yellow camellias</subject><issn>0963-9969</issn><issn>1873-7145</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNqFkElPwzAQhS0EEmX5CUg-cknrJXGSE0IVm1QECDhb7ngiXCVxsc3SI_8cV-XOaUaj957me4SccTbljKvZatp5bwPGqWBCTDnnSjR7ZMKbWhY1L6t9MmGtkkXbqvaQHMW4Yoypqm4n5OdyTK5wY9ebYTDJh83MbC_-29m80HXwawzJYaRmtDS9IX19XMyLp5eH69n9c7E0ES0dMJml7_3gIFLrIgQ3uNEk50fqu-wKiHSDfe-_KJghL87QuEbIuSfkoDN9xNO_eUxer69e5rfF4uHmbn65KECWIhWNlWCkKi1IbIQAAOQ12JZ10IGtBYOSC8XUsspoUlaZvbKmUZDJLRdCHpPzXW5Gev_AmPSQH82vmBH9R9Si5qKpykq1WVrtpBB8jAE7vc5AJmw0Z3pbuV7pv8r1tnK9qzz7LnY-zByfDoOOmXAEtC4gJG29-yfhFxBbjuI</recordid><startdate>202210</startdate><enddate>202210</enddate><creator>Zhao, Mingming</creator><creator>Linghu, Ke-Gang</creator><creator>Xiao, Linxuan</creator><creator>Hua, Tianyi</creator><creator>Zhao, Guanding</creator><creator>Chen, Qiling</creator><creator>Xiong, Shihang</creator><creator>Shen, Liyu</creator><creator>Yu, Jinyu</creator><creator>Hou, Xiaotao</creator><creator>Hao, Erwei</creator><creator>Du, Zhengcai</creator><creator>Deng, Jiagang</creator><creator>Bai, Gang</creator><creator>Chen, Xiaojia</creator><creator>Li, Ling</creator><creator>Li, Peng</creator><creator>Yu, Hua</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>202210</creationdate><title>Anti-inflammatory/anti-oxidant properties and the UPLC-QTOF/MS-based metabolomics discrimination of three yellow camellia species</title><author>Zhao, Mingming ; Linghu, Ke-Gang ; Xiao, Linxuan ; Hua, Tianyi ; Zhao, Guanding ; Chen, Qiling ; Xiong, Shihang ; Shen, Liyu ; Yu, Jinyu ; Hou, Xiaotao ; Hao, Erwei ; Du, Zhengcai ; Deng, Jiagang ; Bai, Gang ; Chen, Xiaojia ; Li, Ling ; Li, Peng ; Yu, Hua</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c342t-8d3ca364dc3e822ccce17cd90fcfcd720c412606b50063358735da86c096d1223</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Anti-inflammation</topic><topic>Anti-oxidant</topic><topic>Discrimination</topic><topic>Fingerprint</topic><topic>Metabolomics</topic><topic>Yellow camellias</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhao, Mingming</creatorcontrib><creatorcontrib>Linghu, Ke-Gang</creatorcontrib><creatorcontrib>Xiao, Linxuan</creatorcontrib><creatorcontrib>Hua, Tianyi</creatorcontrib><creatorcontrib>Zhao, Guanding</creatorcontrib><creatorcontrib>Chen, Qiling</creatorcontrib><creatorcontrib>Xiong, Shihang</creatorcontrib><creatorcontrib>Shen, Liyu</creatorcontrib><creatorcontrib>Yu, Jinyu</creatorcontrib><creatorcontrib>Hou, Xiaotao</creatorcontrib><creatorcontrib>Hao, Erwei</creatorcontrib><creatorcontrib>Du, Zhengcai</creatorcontrib><creatorcontrib>Deng, Jiagang</creatorcontrib><creatorcontrib>Bai, Gang</creatorcontrib><creatorcontrib>Chen, Xiaojia</creatorcontrib><creatorcontrib>Li, Ling</creatorcontrib><creatorcontrib>Li, Peng</creatorcontrib><creatorcontrib>Yu, Hua</creatorcontrib><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>Zhao, Mingming</au><au>Linghu, Ke-Gang</au><au>Xiao, Linxuan</au><au>Hua, Tianyi</au><au>Zhao, Guanding</au><au>Chen, Qiling</au><au>Xiong, Shihang</au><au>Shen, Liyu</au><au>Yu, Jinyu</au><au>Hou, Xiaotao</au><au>Hao, Erwei</au><au>Du, Zhengcai</au><au>Deng, Jiagang</au><au>Bai, Gang</au><au>Chen, Xiaojia</au><au>Li, Ling</au><au>Li, Peng</au><au>Yu, Hua</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Anti-inflammatory/anti-oxidant properties and the UPLC-QTOF/MS-based metabolomics discrimination of three yellow camellia species</atitle><jtitle>Food research international</jtitle><date>2022-10</date><risdate>2022</risdate><volume>160</volume><spage>111628</spage><epage>111628</epage><pages>111628-111628</pages><artnum>111628</artnum><issn>0963-9969</issn><eissn>1873-7145</eissn><abstract>[Display omitted] •A sequential-optimization based new statistical model is developed for chemical pattern recognition of three yellow camellia species.•The yellow camellia species could be well discriminated from each other.•CC and CE present certain similarity on anti-inflammation and anti-oxidation, which is significantly different from CI. The species of Camellia nitidissima Chi (CC) and C. euphlebia Merr. ex Sealy (CE) are two most important plant sources for commercialized herbal tea (Jinhuacha) worldwide. However, some other species of camellia genus are also sold as alternatives in market due to the great commercial value. In this study, the similarity and difference of CC and CE as well as C.insularis (CI) are comprehensively compared both in chemistry and pharmacology. Based on the ultraperformance liquid chromatography coupled with a hybrid quadrupole orthogonal time-of-flight mass spectrometer(UPLC-QTOF-MS) analysis, a sequential-optimization based new statistical model has been developed by combining the untargeted metabolomics and fingerprint analyses, and successfully applied for chemical pattern recognition and discrimination of three yellow camellias species. The results indicated that CC, CE and CI could be well discriminated with the optimized chemical combination including quercetin-3-O-rhamnoside (C2), okicamelliaside (C4), Kaempferol 7-O-rhamnoside (C6), Corymboside (C9), asiatic acid-glc-rha-xyl (C11) and 3′-methy-4′-glucoside-ellagic acid (C14). Moreover, the 30 % ethanolic extracts of yellow camellias species presented the optimal activities on anti-inflammation/anti-oxidation in LPS-stimulated Raw264.7 macrophages dose-dependently. The averaged 50 % inhibitory concentrations (IC50) on NO production were 754.68 ± 50.96, 1182.39 ± 22.10, 1527.83 ± 106.24 μg(herb)/mL, and ROS production were 311.70 ± 26.57, 332.64 ± 25.46, 917.60 ± 41.36 μg(herb)/mL for CC, CE and CI, respectively. The results indicated a certain similarity of CC and CE, as well as their significant difference from CI.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.foodres.2022.111628</doi><tpages>1</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0963-9969
ispartof Food research international, 2022-10, Vol.160, p.111628-111628, Article 111628
issn 0963-9969
1873-7145
language eng
recordid cdi_proquest_miscellaneous_2712854569
source Elsevier ScienceDirect Journals
subjects Anti-inflammation
Anti-oxidant
Discrimination
Fingerprint
Metabolomics
Yellow camellias
title Anti-inflammatory/anti-oxidant properties and the UPLC-QTOF/MS-based metabolomics discrimination of three yellow camellia species
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-05T10%3A50%3A02IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Anti-inflammatory/anti-oxidant%20properties%20and%20the%20UPLC-QTOF/MS-based%20metabolomics%20discrimination%20of%20three%20yellow%20camellia%20species&rft.jtitle=Food%20research%20international&rft.au=Zhao,%20Mingming&rft.date=2022-10&rft.volume=160&rft.spage=111628&rft.epage=111628&rft.pages=111628-111628&rft.artnum=111628&rft.issn=0963-9969&rft.eissn=1873-7145&rft_id=info:doi/10.1016/j.foodres.2022.111628&rft_dat=%3Cproquest_cross%3E2712854569%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2712854569&rft_id=info:pmid/&rft_els_id=S096399692200686X&rfr_iscdi=true