A metabolomics approach reveals metabolic disturbance of human cholangiocarcinoma cells after parthenolide treatment
Copyright © 2024 Elsevier B.V. All rights reserved..
ETHNOPHARMACOLOGICAL RELEVANCE: Tanacetum parthenium (L.) Schultz-Bip, commonly known as feverfew, has been traditionally used to treat fever, migraines, rheumatoid arthritis, and cancer. Parthenolide (PTL), the main bioactive ingredient isolated from the shoots of feverfew, is a sesquiterpene lactone with anti-inflammatory and antitumor properties. Previous studies showed that PTL exerts anticancer activity in various cancers, including hepatoma, cholangiocarcinoma, acute myeloid leukemia, breast, prostate, and colorectal cancer. However, the metabolic mechanism underlying the anticancer effect of PTL remains poorly understood.
AIM OF THE STUDY: To explore the anticancer activity and underlying mechanism of PTL in human cholangiocarcinoma cells.
MATERIAL AND METHODS: In this investigation, the effects and mechanisms of PTL on human cholangiocarcinoma cells were investigated via a liquid chromatography/mass spectrometry (LC/MS)-based metabolomics approach. First, cell proliferation and apoptosis were evaluated using cell counting kit-8 (CCK-8), flow cytometry analysis, and western blotting. Then, LC/MS-based metabolic profiling along with orthogonal partial least-squares discriminant analysis (OPLS-DA) has been constructed to distinguish the metabolic changes between the negative control group and the PTL-treated group in TFK1 cells. Next, enzyme-linked immunosorbent assay (ELISA) was applied to investigate the changes of metabolic enzymes associated with significantly alerted metabolites. Finally, the metabolic network related to key metabolic enzymes, metabolites, and metabolic pathways was established using MetaboAnalyst 5.0 and Kyoto Encyclopedia of Genes and Genomes (KEGG) Pathway Database.
RESULTS: PTL treatment could induce the proliferation inhibition and apoptosis of TFK1 in a concentration-dependent manner. Forty-three potential biomarkers associated with the antitumor effect of PTL were identified, which primarily related to glutamine and glutamate metabolism, alanine, aspartate and glutamate metabolism, phenylalanine, tyrosine and tryptophan biosynthesis, phenylalanine metabolism, arginine biosynthesis, arginine and proline metabolism, glutathione metabolism, nicotinate and nicotinamide metabolism, pyrimidine metabolism, fatty acid metabolism, phospholipid catabolism, and sphingolipid metabolism. Pathway analysis of upstream and downstream metabolites, we found three key metabolic enzymes, including glutaminase (GLS), γ-glutamyl transpeptidase (GGT), and carnitine palmitoyltransferase 1 (CPT1), which mainly involved in glutamine and glutamate metabolism, glutathione metabolism, and fatty acid metabolism. The changes of metabolic enzymes associated with significantly alerted metabolites were consistent with the levels of metabolites, and the metabolic network related to key metabolic enzymes, metabolites, and metabolic pathways was established. PTL may exert its antitumor effect against cholangiocarcinoma by disturbing metabolic pathways. Furthermore, we selected two positive control agents that are considered as first-line chemotherapy standards in cholangiocarcinoma therapy to verify the reliability and accuracy of our metabolomic study on PTL.
CONCLUSION: This research enhanced our comprehension of the metabolic profiling and mechanism of PTL treatment on cholangiocarcinoma cells, which provided some references for further research into the anti-cancer mechanisms of other drugs.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:328 |
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| Enthalten in: |
Journal of ethnopharmacology - 328(2024) vom: 28. Apr., Seite 118075 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
He, Yongping [VerfasserIn] |
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| Links: |
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| Anmerkungen: |
Date Completed 15.04.2024 Date Revised 15.04.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.jep.2024.118075 |
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| Förderinstitution / Projekttitel: |
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| 100 | 1 | |a He, Yongping |e verfasserin |4 aut | |
| 245 | 1 | 2 | |a A metabolomics approach reveals metabolic disturbance of human cholangiocarcinoma cells after parthenolide treatment |
| 264 | 1 | |c 2024 | |
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| 500 | |a Date Completed 15.04.2024 | ||
| 500 | |a Date Revised 15.04.2024 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2024 Elsevier B.V. All rights reserved. | ||
| 520 | |a ETHNOPHARMACOLOGICAL RELEVANCE: Tanacetum parthenium (L.) Schultz-Bip, commonly known as feverfew, has been traditionally used to treat fever, migraines, rheumatoid arthritis, and cancer. Parthenolide (PTL), the main bioactive ingredient isolated from the shoots of feverfew, is a sesquiterpene lactone with anti-inflammatory and antitumor properties. Previous studies showed that PTL exerts anticancer activity in various cancers, including hepatoma, cholangiocarcinoma, acute myeloid leukemia, breast, prostate, and colorectal cancer. However, the metabolic mechanism underlying the anticancer effect of PTL remains poorly understood | ||
| 520 | |a AIM OF THE STUDY: To explore the anticancer activity and underlying mechanism of PTL in human cholangiocarcinoma cells | ||
| 520 | |a MATERIAL AND METHODS: In this investigation, the effects and mechanisms of PTL on human cholangiocarcinoma cells were investigated via a liquid chromatography/mass spectrometry (LC/MS)-based metabolomics approach. First, cell proliferation and apoptosis were evaluated using cell counting kit-8 (CCK-8), flow cytometry analysis, and western blotting. Then, LC/MS-based metabolic profiling along with orthogonal partial least-squares discriminant analysis (OPLS-DA) has been constructed to distinguish the metabolic changes between the negative control group and the PTL-treated group in TFK1 cells. Next, enzyme-linked immunosorbent assay (ELISA) was applied to investigate the changes of metabolic enzymes associated with significantly alerted metabolites. Finally, the metabolic network related to key metabolic enzymes, metabolites, and metabolic pathways was established using MetaboAnalyst 5.0 and Kyoto Encyclopedia of Genes and Genomes (KEGG) Pathway Database | ||
| 520 | |a RESULTS: PTL treatment could induce the proliferation inhibition and apoptosis of TFK1 in a concentration-dependent manner. Forty-three potential biomarkers associated with the antitumor effect of PTL were identified, which primarily related to glutamine and glutamate metabolism, alanine, aspartate and glutamate metabolism, phenylalanine, tyrosine and tryptophan biosynthesis, phenylalanine metabolism, arginine biosynthesis, arginine and proline metabolism, glutathione metabolism, nicotinate and nicotinamide metabolism, pyrimidine metabolism, fatty acid metabolism, phospholipid catabolism, and sphingolipid metabolism. Pathway analysis of upstream and downstream metabolites, we found three key metabolic enzymes, including glutaminase (GLS), γ-glutamyl transpeptidase (GGT), and carnitine palmitoyltransferase 1 (CPT1), which mainly involved in glutamine and glutamate metabolism, glutathione metabolism, and fatty acid metabolism. The changes of metabolic enzymes associated with significantly alerted metabolites were consistent with the levels of metabolites, and the metabolic network related to key metabolic enzymes, metabolites, and metabolic pathways was established. PTL may exert its antitumor effect against cholangiocarcinoma by disturbing metabolic pathways. Furthermore, we selected two positive control agents that are considered as first-line chemotherapy standards in cholangiocarcinoma therapy to verify the reliability and accuracy of our metabolomic study on PTL | ||
| 520 | |a CONCLUSION: This research enhanced our comprehension of the metabolic profiling and mechanism of PTL treatment on cholangiocarcinoma cells, which provided some references for further research into the anti-cancer mechanisms of other drugs | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Cholangiocarcinoma cells | |
| 650 | 4 | |a Liquid chromatography/mass spectrometry | |
| 650 | 4 | |a Metabolic profiling | |
| 650 | 4 | |a Metabolomics | |
| 650 | 4 | |a Parthenolide | |
| 650 | 7 | |a parthenolide |2 NLM | |
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| 650 | 7 | |a Sesquiterpenes |2 NLM | |
| 650 | 7 | |a Arginine |2 NLM | |
| 650 | 7 | |a 94ZLA3W45F |2 NLM | |
| 650 | 7 | |a Phenylalanine |2 NLM | |
| 650 | 7 | |a 47E5O17Y3R |2 NLM | |
| 650 | 7 | |a Glutathione |2 NLM | |
| 650 | 7 | |a GAN16C9B8O |2 NLM | |
| 650 | 7 | |a Fatty Acids |2 NLM | |
| 650 | 7 | |a Glutamates |2 NLM | |
| 650 | 7 | |a Biomarkers |2 NLM | |
| 700 | 1 | |a Yu, Qianxue |e verfasserin |4 aut | |
| 700 | 1 | |a Ma, Xiaoyu |e verfasserin |4 aut | |
| 700 | 1 | |a Lv, Diya |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Hui |e verfasserin |4 aut | |
| 700 | 1 | |a Qiu, Weian |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Xiao Fei |e verfasserin |4 aut | |
| 700 | 1 | |a Jiao, Yang |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Yue |e verfasserin |4 aut | |
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