Naasson Tuyiringire, Deusdedit Tusubira, Samira Boarbi, Claude Mambo Muvunyi, Debby Mangelings, Yvan Vander Heyden
{"title":"基于指纹图谱的血莲子、山楂、麻花花椒抑菌活性研究","authors":"Naasson Tuyiringire, Deusdedit Tusubira, Samira Boarbi, Claude Mambo Muvunyi, Debby Mangelings, Yvan Vander Heyden","doi":"10.1055/a-2660-2042","DOIUrl":null,"url":null,"abstract":"<p><p>There is a pressing need to discover novel anti-tuberculosis agents to combat emerging drug-resistant strains. <i>Cryptolepis sanguinolenta, Lantana camara</i>, and <i>Zanthoxylum leprieurii</i> have been identified as potential sources of anti-tuberculosis (TB) drug candidates. Previous studies have examined the metabolites and metabolic pathways in mycobacterial strains affected by methanolic extracts of these plants, but the specific active compounds responsible for the antimycobacterial activity, the effect on affected metabolites and metabolic pathways of mycobacterial cell cultures, remain unclear. Untargeted metabolic fingerprinting may help identify the active compounds. The objective of this study was to model the antimycobacterial activity of methanolic extracts of <i>C. sanguinolenta, L. camara</i>, and <i>Z. leprieurii</i> as a function of their UHPLC-MS fingerprints and determine whether specific peaks (compounds) in the fingerprints contributed significantly to the activity. In this study, fingerprints of 18 methanolic extracts from <i>C. sanguinolenta</i> roots, <i>L. camara</i> leaves, and <i>Z. leprieurii</i> stem barks were obtained with ultra-high-performance liquid chromatography-mass spectrometry (UHPLC-MS). The minimal inhibitory concentrations (MICs) of these extracts against a pan-sensitive <i>M. tuberculosis</i> strain were determined using a resazurin-based microdilution assay. Fingerprints were processed and analyzed using regions of interest-multivariate curve resolution (ROIMCR). Partial least squares (PLS) regression was employed to model the MICs. Potential active compounds, including cryptolepine (from <i>C. sanguinolenta</i>), verbascoside (from <i>L. camara</i>), and isofagaridine (from <i>Z. leprieurii</i>), were identified as antimycobacterial compounds. These compounds likely influence mycobacterial metabolic processes, including cell wall synthesis, protein production, nucleotide metabolism, and energy generation. Further investigations are required to validate our findings.</p>","PeriodicalId":20127,"journal":{"name":"Planta medica","volume":" ","pages":"745-757"},"PeriodicalIF":2.0000,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Antimycobacterial Activities of Cryptolepis sanguinolenta, Lantana camara, Zanthoxylum leprieurii Modeled as a Function of Their Fingerprints for Active Compounds Identification.\",\"authors\":\"Naasson Tuyiringire, Deusdedit Tusubira, Samira Boarbi, Claude Mambo Muvunyi, Debby Mangelings, Yvan Vander Heyden\",\"doi\":\"10.1055/a-2660-2042\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>There is a pressing need to discover novel anti-tuberculosis agents to combat emerging drug-resistant strains. <i>Cryptolepis sanguinolenta, Lantana camara</i>, and <i>Zanthoxylum leprieurii</i> have been identified as potential sources of anti-tuberculosis (TB) drug candidates. Previous studies have examined the metabolites and metabolic pathways in mycobacterial strains affected by methanolic extracts of these plants, but the specific active compounds responsible for the antimycobacterial activity, the effect on affected metabolites and metabolic pathways of mycobacterial cell cultures, remain unclear. Untargeted metabolic fingerprinting may help identify the active compounds. The objective of this study was to model the antimycobacterial activity of methanolic extracts of <i>C. sanguinolenta, L. camara</i>, and <i>Z. leprieurii</i> as a function of their UHPLC-MS fingerprints and determine whether specific peaks (compounds) in the fingerprints contributed significantly to the activity. In this study, fingerprints of 18 methanolic extracts from <i>C. sanguinolenta</i> roots, <i>L. camara</i> leaves, and <i>Z. leprieurii</i> stem barks were obtained with ultra-high-performance liquid chromatography-mass spectrometry (UHPLC-MS). The minimal inhibitory concentrations (MICs) of these extracts against a pan-sensitive <i>M. tuberculosis</i> strain were determined using a resazurin-based microdilution assay. Fingerprints were processed and analyzed using regions of interest-multivariate curve resolution (ROIMCR). Partial least squares (PLS) regression was employed to model the MICs. Potential active compounds, including cryptolepine (from <i>C. sanguinolenta</i>), verbascoside (from <i>L. camara</i>), and isofagaridine (from <i>Z. leprieurii</i>), were identified as antimycobacterial compounds. These compounds likely influence mycobacterial metabolic processes, including cell wall synthesis, protein production, nucleotide metabolism, and energy generation. 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Antimycobacterial Activities of Cryptolepis sanguinolenta, Lantana camara, Zanthoxylum leprieurii Modeled as a Function of Their Fingerprints for Active Compounds Identification.
There is a pressing need to discover novel anti-tuberculosis agents to combat emerging drug-resistant strains. Cryptolepis sanguinolenta, Lantana camara, and Zanthoxylum leprieurii have been identified as potential sources of anti-tuberculosis (TB) drug candidates. Previous studies have examined the metabolites and metabolic pathways in mycobacterial strains affected by methanolic extracts of these plants, but the specific active compounds responsible for the antimycobacterial activity, the effect on affected metabolites and metabolic pathways of mycobacterial cell cultures, remain unclear. Untargeted metabolic fingerprinting may help identify the active compounds. The objective of this study was to model the antimycobacterial activity of methanolic extracts of C. sanguinolenta, L. camara, and Z. leprieurii as a function of their UHPLC-MS fingerprints and determine whether specific peaks (compounds) in the fingerprints contributed significantly to the activity. In this study, fingerprints of 18 methanolic extracts from C. sanguinolenta roots, L. camara leaves, and Z. leprieurii stem barks were obtained with ultra-high-performance liquid chromatography-mass spectrometry (UHPLC-MS). The minimal inhibitory concentrations (MICs) of these extracts against a pan-sensitive M. tuberculosis strain were determined using a resazurin-based microdilution assay. Fingerprints were processed and analyzed using regions of interest-multivariate curve resolution (ROIMCR). Partial least squares (PLS) regression was employed to model the MICs. Potential active compounds, including cryptolepine (from C. sanguinolenta), verbascoside (from L. camara), and isofagaridine (from Z. leprieurii), were identified as antimycobacterial compounds. These compounds likely influence mycobacterial metabolic processes, including cell wall synthesis, protein production, nucleotide metabolism, and energy generation. Further investigations are required to validate our findings.
期刊介绍:
Planta Medica is one of the leading international journals in the field of natural products – including marine organisms, fungi as well as micro-organisms – and medicinal plants. Planta Medica accepts original research papers, reviews, minireviews and perspectives from researchers worldwide. The journal publishes 18 issues per year.
The following areas of medicinal plants and natural product research are covered:
-Biological and Pharmacological Activities
-Natural Product Chemistry & Analytical Studies
-Pharmacokinetic Investigations
-Formulation and Delivery Systems of Natural Products.
The journal explicitly encourages the submission of chemically characterized extracts.