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pmid:35815278

Network Pharmacology and Bioinformatics Methods Reveal the Mechanism of Berberine in the Treatment of Ischaemic Stroke.

Ke Song · Yikun Sun · Haoqi Liu · Yuanyuan Li · Na An · Liqin Wang · Hanlai Zhang · Fan Yang · Yanwei Xing · Yonghong Gao

Evidence-based complementary and alternative medicine : eCAM · 2022 doi:10.1155/2022/5160329

Paper

complete

Experiment

complete

Data

partial

Analysis

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Network Pharmacology and Bioinformatics Methods Reveal the Mechanism of Berberine in the Treatment of Ischaemic Stroke.
doi
10.1155/2022/5160329
pmid
35815278
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Ke Song
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Yikun Sun
[2]
Haoqi Liu
[3]
Yuanyuan Li
[4]
Na An
[5]
Liqin Wang
[6]
Hanlai Zhang
[7]
Fan Yang
[8]
Yanwei Xing
[9]
Yonghong Gao
journal
Evidence-based complementary and alternative medicine : eCAM
year
2022
abstract
Aim: To elucidate the mechanism of action of berberine on ischaemic stroke based on network pharmacology, bioinformatics, and experimental verification. Methods: Berberine-related long noncoding RNAs (lncRNAs) were screened from public databases. Differentially expressed lncRNAs in ischaemic stroke were retrieved from the Gene Expression Omnibus (GEO) database. GSE102541 was comprehensively analysed using GEO2R. The correlation between lncRNAs and ischaemic stroke was evaluated by the mammalian noncoding RNA-disease repository (MNDR) database. The component-target-disease network and protein-protein interaction (PPI) network of berberine in the treatment of ischaemic stroke were constructed by using network pharmacology. We then performed gene ontology (GO) and Kyoto Encyclopaedia of Genes and Genomes (KEGG) enrichment analyses. Finally, according to the molecular docking analysis and the binding probability between the lncRNA and key proteins, the effectiveness of the results was further verified by in vitro experiments. Results: After matching stroke-related lncRNAs with berberine-related lncRNAs, four genes were selected as potential targets of berberine in the treatment of ischaemic stroke. Subsequently, lncRNA H19 was identified as the potential crucial regulatory lncRNA of berberine. Here, 52 target proteins of berberine in the treatment of ischaemic stroke were identified through database mining. Through topological analysis, 20 key targets were identified which were enriched in inflammation, apoptosis, and immunity. Molecular docking results showed that MAPK8, JUN, and EGFR were central genes. Finally, in vitro experiments demonstrated that lncRNA H19, p-JNK1/JNK1, p-c-Jun/c-Jun, and EGFR expressions were significantly increased in hypoxia-treated SH-SY5Y cells and were restored by berberine treatment. Conclusion: The potential targets and biological effects of berberine in the treatment of ischaemic stroke were predicted in this study. The lncRNA H19/EGFR/JNK1/c-Jun signalling pathway may be a key mechanism of berberine-induced neuroprotection in ischaemic stroke.
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Elevated Expression of Two Circulating LncRNAs Predicts Poor Prognosis for Acute Cerebral Infarction
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e significantly increased in hypoxia-treated SH-SY5Y cells and were restored by berberine treatme
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35815278", "kind": "science-record", "revision": 5, "content_hash": "sha256:b5a54b9d0e4eff666c21e60ce7e85fe72452868bbf1571933bffad776eb6a5f9", "created_at": "2026-11-01T18:14:52Z", "updated_at": "2026-11-01T22:49:31Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Network Pharmacology and Bioinformatics Methods Reveal the Mechanism of Berberine in the Treatment of Ischaemic Stroke.", "doi": "10.1155/2022/5160329", "pmid": "35815278", "authors": ["Ke Song", "Yikun Sun", "Haoqi Liu", "Yuanyuan Li", "Na An", "Liqin Wang", "Hanlai Zhang", "Fan Yang", "Yanwei Xing", "Yonghong Gao"], "journal": "Evidence-based complementary and alternative medicine : eCAM", "year": 2022, "abstract": "Aim: To elucidate the mechanism of action of berberine on ischaemic stroke based on network pharmacology, bioinformatics, and experimental verification.\nMethods: Berberine-related long noncoding RNAs (lncRNAs) were screened from public databases. Differentially expressed lncRNAs in ischaemic stroke were retrieved from the Gene Expression Omnibus (GEO) database. GSE102541 was comprehensively analysed using GEO2R. The correlation between lncRNAs and ischaemic stroke was evaluated by the mammalian noncoding RNA-disease repository (MNDR) database. The component-target-disease network and protein-protein interaction (PPI) network of berberine in the treatment of ischaemic stroke were constructed by using network pharmacology. We then performed gene ontology (GO) and Kyoto Encyclopaedia of Genes and Genomes (KEGG) enrichment analyses. Finally, according to the molecular docking analysis and the binding probability between the lncRNA and key proteins, the effectiveness of the results was further verified by in vitro experiments.\nResults: After matching stroke-related lncRNAs with berberine-related lncRNAs, four genes were selected as potential targets of berberine in the treatment of ischaemic stroke. Subsequently, lncRNA H19 was identified as the potential crucial regulatory lncRNA of berberine. Here, 52 target proteins of berberine in the treatment of ischaemic stroke were identified through database mining. Through topological analysis, 20 key targets were identified which were enriched in inflammation, apoptosis, and immunity. Molecular docking results showed that MAPK8, JUN, and EGFR were central genes. Finally, in vitro experiments demonstrated that lncRNA H19, p-JNK1/JNK1, p-c-Jun/c-Jun, and EGFR expressions were significantly increased in hypoxia-treated SH-SY5Y cells and were restored by berberine treatment.\nConclusion: The potential targets and biological effects of berberine in the treatment of ischaemic stroke were predicted in this study. 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