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...
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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 |
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•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 |
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•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> |
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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 |
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