Evidence map›Paper›PMID 39411945›Full record

ArticleCombinatorial chemistry & high throughput screening2026

Effective Components and Molecular Mechanism of Biejiaruangan Capsule Against Liver Fibrosis: High-resolution Mass Spectrometry, Network Pharmacological Analysis and Experimental Verification.

Kefeng Cao, Hui Jiang, Lili Zhang, Chang Fan, Zhigang Feng, Biao Li, Laicheng Song, Qun Zhang

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Article in Combinatorial chemistry & high throughput screening, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Kefeng CaoDepartment of Laboratory Medicine, Traditional Chinese Medical Hospital of Taihe County, Fuyang, China.ORCID 0009-0005-3417-7116
Hui JiangExperimental Center of Clinical Research, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, China.ORCID 0000-0003-2183-9430
Lili ZhangExperimental Center of Clinical Research, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, China.ORCID 0000-0002-8867-8662
Chang FanExperimental Center of Clinical Research, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, China.ORCID 0000-0002-7837-8455
Zhigang FengDepartment of Laboratory Medicine, Traditional Chinese Medical Hospital of Taihe County, Fuyang, China.ORCID 0000-0002-3879-485X
Biao LiDepartment of Laboratory Medicine, Traditional Chinese Medical Hospital of Taihe County, Fuyang, China.
Laicheng SongDepartment of Laboratory Medicine, Traditional Chinese Medical Hospital of Taihe County, Fuyang, China.
Qun ZhangDepartment of Laboratory Medicine, Traditional Chinese Medical Hospital of Taihe County, Fuyang, China.ORCID 0000-0003-4352-2901

Funding

Natural Science Fund for Colleges and Universities in Anhui Province 2023AH050865Research Fund of Anhui University of Chinese Medicine 2021LCTH01
6 · The paper itself

Abstract

backgroundBiejiaruangan capsule (BJRGC) is a commonly used traditional Chinese medicine preparation for treating oftreating liver fibrosis (LF), but its specific molecular mechanism is unclear. This study used mass spectrometry, network pharmacology and experimental verification to explore the mechanism of BJRGC against LF.

methodsUltrahigh-performance liquid chromatography-quadrupole-exactive-orbitrap-mass spectrometry (UHPLC-Q-Exactive-Orbitrap-MS) and network pharmacology were employed to identify and screen the potential components, targets, and signaling pathways of BJRGC against LF. The interaction between the active ingredients and targets was validated using molecular docking. Finally, 5-ethynyl-2'-deoxyuridine (EDU) staining, western blotting (WB), and flow cytometry (FCM) were utilized to further verify the mechanism of BJRGC against LF.

resultsA total of 9 prototype components of BJRGC were identified in serum, most derived from iridoid glycosides and triterpenes in

conclusionsBJRGC can inhibit the proliferation of HSCs by targeting the protein expression of CDK2, CDK6, and PIK3CG in the PI3K/AKT signaling pathway through its prototype components, such as hyperoside, tumulosic acid, and hederagenin, thereby alleviating LF disease.

Indexed as

Drugs, Chinese HerbalLiver CirrhosisAnimalsCapsulesCell ProliferationChromatography, High Pressure LiquidHumansMass SpectrometryMolecular Docking SimulationNetwork PharmacologySignal TransductionCapsulesDrugs, Chinese HerbalBiejiaruangan capsuleLiver fibrosisPI3K/AKT pathwayproliferationprototype componentUHPLC-Q-Exactive-Orbitrap- MS

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.