Untargeted GC–MS metabolomics to identify and classify bioactive compounds in Combretum platypetalum subsp. oatesii (Rolfe) Exell (Combretaceae)
Introduction Combretum platypetalum is used in traditional African healing practices against different infections. Unfortunately, no scientific knowledge of its phytochemical composition exists, except for the isolation of two compounds from the leaves. Scientific study has been limited to the leave...
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Veröffentlicht in: | Phytochemical analysis 2023-01, Vol.34 (1), p.127-138 |
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description | Introduction
Combretum platypetalum is used in traditional African healing practices against different infections. Unfortunately, no scientific knowledge of its phytochemical composition exists, except for the isolation of two compounds from the leaves. Scientific study has been limited to the leaves only, despite the applications of stems and roots in traditional medicine practice and natural product drug discovery programs.
Objective
Omics was applied to identify and classify different volatile and semivolatile bioactive compounds in the leaf, stem, and root parts of C. platypetalum. The thermal stability of the plant constituents at 60–65°C extraction temperature by Soxhlet and maceration at room temperature on the type, class, and concentration of compounds in the leaf was further investigated.
Method
A GC–MS untargeted metabolomics approach, automated deconvolution by the Automated Mass Spectral Deconvolution and Identification System (AMDIS) for GC–MS data, preprocessing by Metab R, and multivariate statistical data analysis were employed in this study.
Results
A total of 97 phytoconstituents, including 17 bioactive compounds belonging to the terpenoids, flavonoids, long‐chain fatty acids, and other unclassified structural arrangements distributed across C. platypetalum, were identified for the first time. A correlation (r = 0.782; P = 0.000) between Soxhlet and maceration extraction methods relative to resolved chromatographic peak areas of metabolites was established.
Conclusion
Findings corroborate the reported bio‐investigation of its leaf extracts, its traditional uses, and previous findings from the Combretum genus. The results substantiate the possible applications of C. platypetalum in natural product drug discovery and provide a guide for future investigations.
Combretum platypetalum is used in traditional African healing practices against different infections. Unfortunately, no scientific knowledge of its phytochemical composition exists, except for the isolation of two compounds from the leaves. Omics was applied for the first time to identify and classify a total of 97 phytoconstituents, including 17 bioactive compounds belonging to the terpenoids, flavonoid, long‐chain fatty acids, and other unclassified structural arrangements distributed across C. platypetalum leaf, stem and root parts. |
doi_str_mv | 10.1002/pca.3184 |
format | Article |
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Combretum platypetalum is used in traditional African healing practices against different infections. Unfortunately, no scientific knowledge of its phytochemical composition exists, except for the isolation of two compounds from the leaves. Scientific study has been limited to the leaves only, despite the applications of stems and roots in traditional medicine practice and natural product drug discovery programs.
Objective
Omics was applied to identify and classify different volatile and semivolatile bioactive compounds in the leaf, stem, and root parts of C. platypetalum. The thermal stability of the plant constituents at 60–65°C extraction temperature by Soxhlet and maceration at room temperature on the type, class, and concentration of compounds in the leaf was further investigated.
Method
A GC–MS untargeted metabolomics approach, automated deconvolution by the Automated Mass Spectral Deconvolution and Identification System (AMDIS) for GC–MS data, preprocessing by Metab R, and multivariate statistical data analysis were employed in this study.
Results
A total of 97 phytoconstituents, including 17 bioactive compounds belonging to the terpenoids, flavonoids, long‐chain fatty acids, and other unclassified structural arrangements distributed across C. platypetalum, were identified for the first time. A correlation (r = 0.782; P = 0.000) between Soxhlet and maceration extraction methods relative to resolved chromatographic peak areas of metabolites was established.
Conclusion
Findings corroborate the reported bio‐investigation of its leaf extracts, its traditional uses, and previous findings from the Combretum genus. The results substantiate the possible applications of C. platypetalum in natural product drug discovery and provide a guide for future investigations.
Combretum platypetalum is used in traditional African healing practices against different infections. Unfortunately, no scientific knowledge of its phytochemical composition exists, except for the isolation of two compounds from the leaves. Omics was applied for the first time to identify and classify a total of 97 phytoconstituents, including 17 bioactive compounds belonging to the terpenoids, flavonoid, long‐chain fatty acids, and other unclassified structural arrangements distributed across C. platypetalum leaf, stem and root parts.</description><identifier>ISSN: 0958-0344</identifier><identifier>EISSN: 1099-1565</identifier><identifier>DOI: 10.1002/pca.3184</identifier><identifier>PMID: 36377224</identifier><language>eng</language><publisher>England: Wiley Subscription Services, Inc</publisher><subject>Automation ; Bioactive compounds ; Biological activity ; Classification ; Combretaceae ; Combretum ; Combretum - chemistry ; Combretum platypetalum ; Data analysis ; Data processing ; Deconvolution ; Drug discovery ; Fatty Acids ; Flavonoids ; Gas Chromatography-Mass Spectrometry ; GC–MS metabolomics ; Leaves ; Maceration ; Metabolites ; Metabolomics ; Multivariate analysis ; Natural products ; phytochemical constituent ; Plant extracts ; Plant Extracts - chemistry ; Room temperature ; Statistical analysis ; Stems ; Terpenes ; Thermal stability ; Traditional medicine ; untargeted metabolomics</subject><ispartof>Phytochemical analysis, 2023-01, Vol.34 (1), p.127-138</ispartof><rights>2022 John Wiley & Sons Ltd.</rights><rights>2023 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c3104-f996eaa737ff023a853a6d754f601b40f68c746098cccb7fb73538f58eac57793</cites><orcidid>0000-0003-4781-0054</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fpca.3184$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fpca.3184$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1416,27922,27923,45572,45573</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36377224$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Umoh, Sampson D.</creatorcontrib><creatorcontrib>Bojase, Gomotsang</creatorcontrib><creatorcontrib>Masesane, Ishmael B.</creatorcontrib><creatorcontrib>Majinda, Runner T.</creatorcontrib><creatorcontrib>Sichilongo, Kwenga F.</creatorcontrib><title>Untargeted GC–MS metabolomics to identify and classify bioactive compounds in Combretum platypetalum subsp. oatesii (Rolfe) Exell (Combretaceae)</title><title>Phytochemical analysis</title><addtitle>Phytochem Anal</addtitle><description>Introduction
Combretum platypetalum is used in traditional African healing practices against different infections. Unfortunately, no scientific knowledge of its phytochemical composition exists, except for the isolation of two compounds from the leaves. Scientific study has been limited to the leaves only, despite the applications of stems and roots in traditional medicine practice and natural product drug discovery programs.
Objective
Omics was applied to identify and classify different volatile and semivolatile bioactive compounds in the leaf, stem, and root parts of C. platypetalum. The thermal stability of the plant constituents at 60–65°C extraction temperature by Soxhlet and maceration at room temperature on the type, class, and concentration of compounds in the leaf was further investigated.
Method
A GC–MS untargeted metabolomics approach, automated deconvolution by the Automated Mass Spectral Deconvolution and Identification System (AMDIS) for GC–MS data, preprocessing by Metab R, and multivariate statistical data analysis were employed in this study.
Results
A total of 97 phytoconstituents, including 17 bioactive compounds belonging to the terpenoids, flavonoids, long‐chain fatty acids, and other unclassified structural arrangements distributed across C. platypetalum, were identified for the first time. A correlation (r = 0.782; P = 0.000) between Soxhlet and maceration extraction methods relative to resolved chromatographic peak areas of metabolites was established.
Conclusion
Findings corroborate the reported bio‐investigation of its leaf extracts, its traditional uses, and previous findings from the Combretum genus. The results substantiate the possible applications of C. platypetalum in natural product drug discovery and provide a guide for future investigations.
Combretum platypetalum is used in traditional African healing practices against different infections. Unfortunately, no scientific knowledge of its phytochemical composition exists, except for the isolation of two compounds from the leaves. Omics was applied for the first time to identify and classify a total of 97 phytoconstituents, including 17 bioactive compounds belonging to the terpenoids, flavonoid, long‐chain fatty acids, and other unclassified structural arrangements distributed across C. platypetalum leaf, stem and root parts.</description><subject>Automation</subject><subject>Bioactive compounds</subject><subject>Biological activity</subject><subject>Classification</subject><subject>Combretaceae</subject><subject>Combretum</subject><subject>Combretum - chemistry</subject><subject>Combretum platypetalum</subject><subject>Data analysis</subject><subject>Data processing</subject><subject>Deconvolution</subject><subject>Drug discovery</subject><subject>Fatty Acids</subject><subject>Flavonoids</subject><subject>Gas Chromatography-Mass Spectrometry</subject><subject>GC–MS metabolomics</subject><subject>Leaves</subject><subject>Maceration</subject><subject>Metabolites</subject><subject>Metabolomics</subject><subject>Multivariate analysis</subject><subject>Natural products</subject><subject>phytochemical constituent</subject><subject>Plant extracts</subject><subject>Plant Extracts - chemistry</subject><subject>Room temperature</subject><subject>Statistical analysis</subject><subject>Stems</subject><subject>Terpenes</subject><subject>Thermal stability</subject><subject>Traditional medicine</subject><subject>untargeted metabolomics</subject><issn>0958-0344</issn><issn>1099-1565</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kcFu1DAQhi0EotuCxBMgS1y2h2ydOLaTYxW1BakVFdBzNHHGyJUTh9iB7o1noG_Ik-BtF5CQOI1G8_nTeH5CXuVskzNWnEwaNjyvyidklbO6znIhxVOyYrWoMsbL8oAchnDLWJrV8jk54JIrVRTlivy4GSPMnzFiTy-an9_vrz7SASN03vnB6kCjp7bHMVqzpTD2VDsIYdd01oOO9itS7YfJL2MfqB1p44duxrgMdHIQt1NyudSEpQvThnqIGKyl6w_eGTymZ3foHF3vH4FGwOMX5JkBF_Dlvh6Rm_OzT83b7PL9xbvm9DLTPGdlZtJXEEBxZQwrOFSCg-yVKI1keVcyIyutSsnqSmvdKdMpLnhlRIWghVI1PyLrR-80-y8LhtgONui0D4zol9AWikspeTpZQt_8g976ZR7TdomSuzNzof4K9exDmNG002wHmLdtztpdTm3Kqd3llNDXe-HSDdj_AX8Hk4DsEfhmHW7_K2qvm9MH4S-T8p3E</recordid><startdate>202301</startdate><enddate>202301</enddate><creator>Umoh, Sampson D.</creator><creator>Bojase, Gomotsang</creator><creator>Masesane, Ishmael B.</creator><creator>Majinda, Runner T.</creator><creator>Sichilongo, Kwenga F.</creator><general>Wiley Subscription Services, Inc</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>7QL</scope><scope>7QR</scope><scope>7T7</scope><scope>7TM</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>K9.</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-4781-0054</orcidid></search><sort><creationdate>202301</creationdate><title>Untargeted GC–MS metabolomics to identify and classify bioactive compounds in Combretum platypetalum subsp. oatesii (Rolfe) Exell (Combretaceae)</title><author>Umoh, Sampson D. ; Bojase, Gomotsang ; Masesane, Ishmael B. ; Majinda, Runner T. ; Sichilongo, Kwenga F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3104-f996eaa737ff023a853a6d754f601b40f68c746098cccb7fb73538f58eac57793</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Automation</topic><topic>Bioactive compounds</topic><topic>Biological activity</topic><topic>Classification</topic><topic>Combretaceae</topic><topic>Combretum</topic><topic>Combretum - chemistry</topic><topic>Combretum platypetalum</topic><topic>Data analysis</topic><topic>Data processing</topic><topic>Deconvolution</topic><topic>Drug discovery</topic><topic>Fatty Acids</topic><topic>Flavonoids</topic><topic>Gas Chromatography-Mass Spectrometry</topic><topic>GC–MS metabolomics</topic><topic>Leaves</topic><topic>Maceration</topic><topic>Metabolites</topic><topic>Metabolomics</topic><topic>Multivariate analysis</topic><topic>Natural products</topic><topic>phytochemical constituent</topic><topic>Plant extracts</topic><topic>Plant Extracts - chemistry</topic><topic>Room temperature</topic><topic>Statistical analysis</topic><topic>Stems</topic><topic>Terpenes</topic><topic>Thermal stability</topic><topic>Traditional medicine</topic><topic>untargeted metabolomics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Umoh, Sampson D.</creatorcontrib><creatorcontrib>Bojase, Gomotsang</creatorcontrib><creatorcontrib>Masesane, Ishmael B.</creatorcontrib><creatorcontrib>Majinda, Runner T.</creatorcontrib><creatorcontrib>Sichilongo, Kwenga F.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Chemoreception Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Phytochemical analysis</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Umoh, Sampson D.</au><au>Bojase, Gomotsang</au><au>Masesane, Ishmael B.</au><au>Majinda, Runner T.</au><au>Sichilongo, Kwenga F.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Untargeted GC–MS metabolomics to identify and classify bioactive compounds in Combretum platypetalum subsp. oatesii (Rolfe) Exell (Combretaceae)</atitle><jtitle>Phytochemical analysis</jtitle><addtitle>Phytochem Anal</addtitle><date>2023-01</date><risdate>2023</risdate><volume>34</volume><issue>1</issue><spage>127</spage><epage>138</epage><pages>127-138</pages><issn>0958-0344</issn><eissn>1099-1565</eissn><abstract>Introduction
Combretum platypetalum is used in traditional African healing practices against different infections. Unfortunately, no scientific knowledge of its phytochemical composition exists, except for the isolation of two compounds from the leaves. Scientific study has been limited to the leaves only, despite the applications of stems and roots in traditional medicine practice and natural product drug discovery programs.
Objective
Omics was applied to identify and classify different volatile and semivolatile bioactive compounds in the leaf, stem, and root parts of C. platypetalum. The thermal stability of the plant constituents at 60–65°C extraction temperature by Soxhlet and maceration at room temperature on the type, class, and concentration of compounds in the leaf was further investigated.
Method
A GC–MS untargeted metabolomics approach, automated deconvolution by the Automated Mass Spectral Deconvolution and Identification System (AMDIS) for GC–MS data, preprocessing by Metab R, and multivariate statistical data analysis were employed in this study.
Results
A total of 97 phytoconstituents, including 17 bioactive compounds belonging to the terpenoids, flavonoids, long‐chain fatty acids, and other unclassified structural arrangements distributed across C. platypetalum, were identified for the first time. A correlation (r = 0.782; P = 0.000) between Soxhlet and maceration extraction methods relative to resolved chromatographic peak areas of metabolites was established.
Conclusion
Findings corroborate the reported bio‐investigation of its leaf extracts, its traditional uses, and previous findings from the Combretum genus. The results substantiate the possible applications of C. platypetalum in natural product drug discovery and provide a guide for future investigations.
Combretum platypetalum is used in traditional African healing practices against different infections. Unfortunately, no scientific knowledge of its phytochemical composition exists, except for the isolation of two compounds from the leaves. Omics was applied for the first time to identify and classify a total of 97 phytoconstituents, including 17 bioactive compounds belonging to the terpenoids, flavonoid, long‐chain fatty acids, and other unclassified structural arrangements distributed across C. platypetalum leaf, stem and root parts.</abstract><cop>England</cop><pub>Wiley Subscription Services, Inc</pub><pmid>36377224</pmid><doi>10.1002/pca.3184</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-4781-0054</orcidid></addata></record> |
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subjects | Automation Bioactive compounds Biological activity Classification Combretaceae Combretum Combretum - chemistry Combretum platypetalum Data analysis Data processing Deconvolution Drug discovery Fatty Acids Flavonoids Gas Chromatography-Mass Spectrometry GC–MS metabolomics Leaves Maceration Metabolites Metabolomics Multivariate analysis Natural products phytochemical constituent Plant extracts Plant Extracts - chemistry Room temperature Statistical analysis Stems Terpenes Thermal stability Traditional medicine untargeted metabolomics |
title | Untargeted GC–MS metabolomics to identify and classify bioactive compounds in Combretum platypetalum subsp. oatesii (Rolfe) Exell (Combretaceae) |
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