Multiplatform metabolomics and chemometrics reveals anticancer metabolites in Clinacanthus nutans against nasopharyngeal carcinoma

Plant metabolites are important natural sources of anti-cancer agents. This study aimed to identify potential metabolites and lipids from Clinacanthus nutans leaves (CNL) as natural anti-nasopharyngeal carcinoma (anti-NPC) agents. Three different CNL extracts, namely ethanol (E-CNL), ethanol/water (1:1, v/v) (EW-CNL), and water (W-CNL), were used for analysis. Following methyl tert-butyl ether/methanol/H 2 O liquid–liquid separation, each CNL sample was simultaneously separated into an upper-phase nonpolar lipidome and lower-phase polar metabolites. Using liquid chromatography–mass spectrometry (LC-MS/MS) and gas chromatography–mass spectrometry (GC-MS), anti-NPC activity, metabolomics, lipidomics, and chemometric-profile analysis of the CNL extracts were investigated and compared. Results showed that E-CNL had the highest anti-NPC potential with an IC 50 value of 145.08, 163.62, and 133.43 μg/mL on NPC cell lines HK-1, C666–1, and CNE2, respectively. Through metabolomics and lipidomics analyses, 20 metabolites and 20 lipids were identified as the most influential compounds based on LC-MS/MS profiling, whereas 11 metabolites were identified by GC-MS profiling. The chemical composition of the crude extracts was significantly different. The key parameters influencing the ultrasonic-assisted extraction of bioactive E-CNL extract were systematically optimized using the Box-Behnken design (BBD) combined with response surface methodology (RSM). This optimization process resulted in a maximum extraction yield of 8.903 %. This study holds considerable significance for drug discovery and development, and offers the potential to identify novel anti-NPC agents derived from plant sources. • Fifty-one top vip compounds were identified in the CNL extracts by GC-MS and LC-MS/MS. • E-CNL was discriminated from EW-CNL and W-CNL based on the GC-MS and LC-MS/MS profiling. • E-CNL exhibited strong anti-NPC on cell lines HK-1, C666–1, and CNE2. • Chemometrics revealed Kuwanon C, Linoleate, Stigmasterol, and γ -Sitosterol as bioactive compounds.

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Publication Details

Journal
Industrial Crops and Products
Published
2025-09-22
DOI
https://doi.org/10.1016/j.indcrop.2025.121905
Primary Topic
Polysaccharides Composition and Applications
Type
article
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article

Multiplatform metabolomics and chemometrics reveals anticancer metabolites in Clinacanthus nutans against nasopharyngeal carcinoma

Industrial Crops and Products
Polysaccharides Composition and Applications
article

Multiplatform metabolomics and chemometrics reveals anticancer metabolites in Clinacanthus nutans against nasopharyngeal carcinoma

article en

Abstract

Plant metabolites are important natural sources of anti-cancer agents. This study aimed to identify potential metabolites and lipids from Clinacanthus nutans leaves (CNL) as natural anti-nasopharyngeal carcinoma (anti-NPC) agents. Three different CNL extracts, namely ethanol (E-CNL), ethanol/water (1:1, v/v) (EW-CNL), and water (W-CNL), were used for analysis. Following methyl tert-butyl ether/methanol/H 2 O liquid–liquid separation, each CNL sample was simultaneously separated into an upper-phase nonpolar lipidome and lower-phase polar metabolites. Using liquid chromatography–mass spectrometry (LC-MS/MS) and gas chromatography–mass spectrometry (GC-MS), anti-NPC activity, metabolomics, lipidomics, and chemometric-profile analysis of the CNL extracts were investigated and compared. Results showed that E-CNL had the highest anti-NPC potential with an IC 50 value of 145.08, 163.62, and 133.43 μg/mL on NPC cell lines HK-1, C666–1, and CNE2, respectively. Through metabolomics and lipidomics analyses, 20 metabolites and 20 lipids were identified as the most influential compounds based on LC-MS/MS profiling, whereas 11 metabolites were identified by GC-MS profiling. The chemical composition of the crude extracts was significantly different. The key parameters influencing the ultrasonic-assisted extraction of bioactive E-CNL extract were systematically optimized using the Box-Behnken design (BBD) combined with response surface methodology (RSM). This optimization process resulted in a maximum extraction yield of 8.903 %. This study holds considerable significance for drug discovery and development, and offers the potential to identify novel anti-NPC agents derived from plant sources. • Fifty-one top vip compounds were identified in the CNL extracts by GC-MS and LC-MS/MS. • E-CNL was discriminated from EW-CNL and W-CNL based on the GC-MS and LC-MS/MS profiling. • E-CNL exhibited strong anti-NPC on cell lines HK-1, C666–1, and CNE2. • Chemometrics revealed Kuwanon C, Linoleate, Stigmasterol, and γ -Sitosterol as bioactive compounds.

Industrial Crops and ProductsVol. 236
Universiti Sains Malaysia (MY), Lishui Central Hospital (CN), Henan Medical University (CN)
Good health and well-being
Openalex Percentile: Top 44%
Polysaccharides Composition and Applications
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