Integrated lipidomics and network pharmacology analysis to reveal the mechanisms of berberine in the treatment of hyperlipidemia

Abstract Background Berberine (BBR), an isoquinoline alkaloid isolated from Rhizoma Coptis, is widely used in the treatment of hyperlipidemia (HLP) in China. At present, the efficacy of BBR against HLP is relatively clear, but there are few researches on its mechanism. The purpose of this study was...

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Main Authors: Yuting Chen, Kaipeng Li, Han Zhao, Zhangsen Hao, Yuxin Yang, Mingming Gao, Ding Zhao
Format: Article
Language:English
Published: BMC 2022-09-01
Series:Journal of Translational Medicine
Subjects:
Online Access:https://doi.org/10.1186/s12967-022-03623-0
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author Yuting Chen
Kaipeng Li
Han Zhao
Zhangsen Hao
Yuxin Yang
Mingming Gao
Ding Zhao
author_facet Yuting Chen
Kaipeng Li
Han Zhao
Zhangsen Hao
Yuxin Yang
Mingming Gao
Ding Zhao
author_sort Yuting Chen
collection DOAJ
description Abstract Background Berberine (BBR), an isoquinoline alkaloid isolated from Rhizoma Coptis, is widely used in the treatment of hyperlipidemia (HLP) in China. At present, the efficacy of BBR against HLP is relatively clear, but there are few researches on its mechanism. The purpose of this study was to evaluate the potentially beneficial role of BBR in HLP hamster models, as well as investigate its possible mechanisms and potential lipid biomarkers in combination with network pharmacology. Methods HLP hamster model was induced by high-fat diet. Hematoxylin—eosin (HE) staining was used to determine the degree of hepatic pathological injury. Liquid chromatography-mass spectrometry was used to analyze lipid metabolism profiles of liver samples, and multiple statistical analysis methods were used to screen and identify lipid biomarkers. The possible molecular mechanism was unraveled by network pharmacology. Results The results showed that 13 metabolites, including CE (16:1), HexCer (D18:1/19:0) and LPC (O-22:0) were biomarkers of BBR regulation. CHPT1, PLA2G4A, LCAT and UGCG were predicted as the lipid-linked targets of BBR against HLP, whilst glycerophospholipid and sphingolipid metabolism were the key pathways of BBR against HLP. Conclusions In summary, this study provides new insights into the protective mechanism of BBR against HLP through network pharmacology and lipidomic approaches.
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spelling doaj.art-f03712132b454408911935795971be1d2022-12-22T01:44:39ZengBMCJournal of Translational Medicine1479-58762022-09-0120111610.1186/s12967-022-03623-0Integrated lipidomics and network pharmacology analysis to reveal the mechanisms of berberine in the treatment of hyperlipidemiaYuting Chen0Kaipeng Li1Han Zhao2Zhangsen Hao3Yuxin Yang4Mingming Gao5Ding Zhao6The Postdoctoral Research Station of Biology, Hebei Medical UniversityThe Department of Pharmacognosy, School of Pharmacy, Hebei Medical UniversityThe Department of Pharmacognosy, School of Pharmacy, Hebei Medical UniversityThe Department of Pharmacognosy, School of Pharmacy, Hebei Medical UniversityThe Department of Pharmacognosy, School of Pharmacy, Hebei Medical UniversityThe Laboratory of Lipid Metabolism, Institute of Basic Medicine, Hebei Medical UniversityThe Department of Pharmacognosy, School of Pharmacy, Hebei Medical UniversityAbstract Background Berberine (BBR), an isoquinoline alkaloid isolated from Rhizoma Coptis, is widely used in the treatment of hyperlipidemia (HLP) in China. At present, the efficacy of BBR against HLP is relatively clear, but there are few researches on its mechanism. The purpose of this study was to evaluate the potentially beneficial role of BBR in HLP hamster models, as well as investigate its possible mechanisms and potential lipid biomarkers in combination with network pharmacology. Methods HLP hamster model was induced by high-fat diet. Hematoxylin—eosin (HE) staining was used to determine the degree of hepatic pathological injury. Liquid chromatography-mass spectrometry was used to analyze lipid metabolism profiles of liver samples, and multiple statistical analysis methods were used to screen and identify lipid biomarkers. The possible molecular mechanism was unraveled by network pharmacology. Results The results showed that 13 metabolites, including CE (16:1), HexCer (D18:1/19:0) and LPC (O-22:0) were biomarkers of BBR regulation. CHPT1, PLA2G4A, LCAT and UGCG were predicted as the lipid-linked targets of BBR against HLP, whilst glycerophospholipid and sphingolipid metabolism were the key pathways of BBR against HLP. Conclusions In summary, this study provides new insights into the protective mechanism of BBR against HLP through network pharmacology and lipidomic approaches.https://doi.org/10.1186/s12967-022-03623-0BerberineHyperlipidemiaLipidomicsNetwork pharmacology
spellingShingle Yuting Chen
Kaipeng Li
Han Zhao
Zhangsen Hao
Yuxin Yang
Mingming Gao
Ding Zhao
Integrated lipidomics and network pharmacology analysis to reveal the mechanisms of berberine in the treatment of hyperlipidemia
Journal of Translational Medicine
Berberine
Hyperlipidemia
Lipidomics
Network pharmacology
title Integrated lipidomics and network pharmacology analysis to reveal the mechanisms of berberine in the treatment of hyperlipidemia
title_full Integrated lipidomics and network pharmacology analysis to reveal the mechanisms of berberine in the treatment of hyperlipidemia
title_fullStr Integrated lipidomics and network pharmacology analysis to reveal the mechanisms of berberine in the treatment of hyperlipidemia
title_full_unstemmed Integrated lipidomics and network pharmacology analysis to reveal the mechanisms of berberine in the treatment of hyperlipidemia
title_short Integrated lipidomics and network pharmacology analysis to reveal the mechanisms of berberine in the treatment of hyperlipidemia
title_sort integrated lipidomics and network pharmacology analysis to reveal the mechanisms of berberine in the treatment of hyperlipidemia
topic Berberine
Hyperlipidemia
Lipidomics
Network pharmacology
url https://doi.org/10.1186/s12967-022-03623-0
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