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pmid:41450541

Exploring the Mahuang Fuzi Xixin Decoction's mechanism for treating Alzheimer's disease using molecular docking and network pharmacology.

Che Chen · Qianfeng Shao · Sheng Zhou

Frontiers in aging neuroscience · 2025 doi:10.3389/fnagi.2025.1688316

Paper

complete

Experiment

complete

Data

partial

Analysis

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title
Exploring the Mahuang Fuzi Xixin Decoction's mechanism for treating Alzheimer's disease using molecular docking and network pharmacology.
doi
10.3389/fnagi.2025.1688316
pmid
41450541
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Che Chen
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Qianfeng Shao
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Sheng Zhou
journal
Frontiers in aging neuroscience
year
2025
abstract
Objective: Explore the potential mechanism of Mahuang Fuzi Xixin Decoction (MFXD) in the treatment of Alzheimer's disease (AD) using network pharmacology, molecular docking approaches, and test its efficacy by in vitro experiments. Methods: Active components of MFXD were screened from TCMSP, BATMAN-TCM, and TCMID, with corresponding targets obtained from SwissTargetPrediction and TCMSP. AD-related differential genes were retrieved from GEO. Intersection targets were identified via Venn diagrams, followed by GO/KEGG enrichment analyses, PPI network construction, and molecular docking. In vitro validation experiments were carried out using PC12 cells induced by Aβ25-35 to simulate the pathological state of AD. For the detection of cell viability, the CCK-8 assay was employed to evaluate the protective effect of MFXD and its active components on damaged PC12 cells. Western blot analysis was used to determine the protein expression levels of key molecules involved in AD-related signaling pathways, including phosphorylated p-NF-κB p65, NF-κB p65, p-GSK-3β, GSK-3β, MMP-9, p-Tau, and Tau. Additionally, the ELISA was utilized to measure the secretion level of TNF-α in the supernatant of Aβ25-35-induced PC12 cells, so as to assess the anti-inflammatory effect of MFXD. Results: Thirty-seven active components and 230 targets of MFXD were identified, along with 4913 AD-related differentially expressed genes from GEO dataset GSE122063, yielding 47 intersection targets. GO annotation enriched these targets in processes like reactive oxygen species metabolism, components like extracellular matrix, and functions like neurotransmitter binding; several pathways were enriched in the KEGG analysis, such as TNF signaling pathway, calcium signaling pathway, and NF-κB signaling pathway. The intersection target PPI network identified MMP9, EGFR, FOS as core targets. Molecular docking results indicated that quercetin binds to the three core targets (MMP9, EGFR, FOS), while luteolin binds preferentially to EGFR and MMP9. In vitro, Aβ25-35-induced PC12 cells treated with quercetin/luteolin had concentration-dependent viability increases (all P < 0.001); 15% MFXD-containing serum restored viability to ≥ 95% (P < 0.001 vs. AD model, comparable to DHCL). Western blot showed AD model had elevated p-NF-κB p65/NF-κB p65, MMP9/β-actin, p-Tau/Tau and reduced p-GSK-3β/GSK-3β (all P < 0.05); MFXD reversed these (all P < 0.05), while DHCL only inhibited p-NF-κB p65/NF-κB p65. ELISA showed MFXD and DHCL both reduced AD model's TNF-α (all P < 0.001). Conclusion: MFXD potentially exerts anti-AD effects through a multi-component, multi-target, multi-pathway approach. Its key active components (quercetin, luteolin) may act by modulating the core target MMP9. Also, MFXD can simultaneously regulate several pathways, such as the TNF signaling pathway, Calcium signaling pathway, and NF-κB signaling pathway, and target Tau protein-related pathology by restoring the phosphorylation level of GSK-3β to suppress abnormal hyperphosphorylation of Tau, and thereby alleviating pathological damage in AD.
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alidation experiments were carried out using PC12 cells induced by Aβ25-35 to simulate the pat
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AD. For the detection of cell viability, the CCK-8 assay was employed to evaluate the protectiv
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its active components on damaged PC12 cells. Western blot analysis was used to determine the protein e
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3β, MMP-9, p-Tau, and Tau. Additionally, the ELISA was utilized to measure the secretion level
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:41450541", "kind": "science-record", "revision": 4, "content_hash": "sha256:65a0d282117c127fc86272d42ebfbefabafc12f743349db49d016b9889764322", "created_at": "2026-11-01T20:31:25Z", "updated_at": "2026-11-01T22:57:39Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Exploring the Mahuang Fuzi Xixin Decoction's mechanism for treating Alzheimer's disease using molecular docking and network pharmacology.", "doi": "10.3389/fnagi.2025.1688316", "pmid": "41450541", "authors": ["Che Chen", "Qianfeng Shao", "Sheng Zhou"], "journal": "Frontiers in aging neuroscience", "year": 2025, "abstract": "Objective: Explore the potential mechanism of Mahuang Fuzi Xixin Decoction (MFXD) in the treatment of Alzheimer's disease (AD) using network pharmacology, molecular docking approaches, and test its efficacy by in vitro experiments.\nMethods: Active components of MFXD were screened from TCMSP, BATMAN-TCM, and TCMID, with corresponding targets obtained from SwissTargetPrediction and TCMSP. AD-related differential genes were retrieved from GEO. Intersection targets were identified via Venn diagrams, followed by GO/KEGG enrichment analyses, PPI network construction, and molecular docking. In vitro validation experiments were carried out using PC12 cells induced by Aβ25-35 to simulate the pathological state of AD. For the detection of cell viability, the CCK-8 assay was employed to evaluate the protective effect of MFXD and its active components on damaged PC12 cells. Western blot analysis was used to determine the protein expression levels of key molecules involved in AD-related signaling pathways, including phosphorylated p-NF-κB p65, NF-κB p65, p-GSK-3β, GSK-3β, MMP-9, p-Tau, and Tau. Additionally, the ELISA was utilized to measure the secretion level of TNF-α in the supernatant of Aβ25-35-induced PC12 cells, so as to assess the anti-inflammatory effect of MFXD.\nResults: Thirty-seven active components and 230 targets of MFXD were identified, along with 4913 AD-related differentially expressed genes from GEO dataset GSE122063, yielding 47 intersection targets. GO annotation enriched these targets in processes like reactive oxygen species metabolism, components like extracellular matrix, and functions like neurotransmitter binding; several pathways were enriched in the KEGG analysis, such as TNF signaling pathway, calcium signaling pathway, and NF-κB signaling pathway. The intersection target PPI network identified MMP9, EGFR, FOS as core targets. Molecular docking results indicated that quercetin binds to the three core targets (MMP9, EGFR, FOS), while luteolin binds preferentially to EGFR and MMP9. In vitro, Aβ25-35-induced PC12 cells treated with quercetin/luteolin had concentration-dependent viability increases (all P < 0.001); 15% MFXD-containing serum restored viability to ≥ 95% (P < 0.001 vs. AD model, comparable to DHCL). Western blot showed AD model had elevated p-NF-κB p65/NF-κB p65, MMP9/β-actin, p-Tau/Tau and reduced p-GSK-3β/GSK-3β (all P < 0.05); MFXD reversed these (all P < 0.05), while DHCL only inhibited p-NF-κB p65/NF-κB p65. ELISA showed MFXD and DHCL both reduced AD model's TNF-α (all P < 0.001).\nConclusion: MFXD potentially exerts anti-AD effects through a multi-component, multi-target, multi-pathway approach. Its key active components (quercetin, luteolin) may act by modulating the core target MMP9. Also, MFXD can simultaneously regulate several pathways, such as the TNF signaling pathway, Calcium signaling pathway, and NF-κB signaling pathway, and target Tau protein-related pathology by restoring the phosphorylation level of GSK-3β to suppress abnormal hyperphosphorylation of Tau, and thereby alleviating pathological damage in AD.", "claims": [{"id": "claim-method", "statement": "Differences between groups were analyzed by Student’s t-test or one-way ANOVA; nonparametric rank-sum tests were applied when assumptions were not met.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41450541", "locator": "sections[17] \"Statistical analysis\" paragraph 2", "quote": "Differences between groups were analyzed by Student’s t-test or one-way ANOVA; nonparametric rank-sum tests were applied when assumptions were not met."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The original contributions presented in the study are publicly available and the data supporting this study are included in the article and its supplementary materials. The data are available from the corresponding author upon reasonable request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41450541", "locator": "sections[39] \"Data availability statement\" paragraph 2", "quote": "The original contributions presented in the study are publicly available and the data supporting this study are included in the article and its supplementary materials. The data are available from the corresponding author upon reasonable request."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Thirty-seven active components and 230 targets of MFXD were identified, along with 4913 AD-related differentially expressed genes from GEO dataset GSE122063, yielding 47 intersection targets.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:41450541", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "Thirty-seven active components and 230 targets of MFXD were identified, along with 4913 AD-related differentially expressed genes from GEO dataset GSE122063, yielding 47 intersection targets."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Thirty-seven active components and 230 targets of MFXD were identified, along with 4913 AD-related differentially expressed genes from GEO dataset GSE122063, yielding 47 intersection targets.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:41450541"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE122063"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE122063"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:41450541", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3389/fnagi.2025.1688316", "sha256": "sha256:937f4c0b3abe89baeffdf47529b57b917575eba48523f071663bdc9f1f02e23e", "bytes": 47990, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3389/fnagi.2025.1688316", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC12727906", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE122063", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE122063", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE122063", "version": null, "note": "The original contributions presented in the study are publicly available and the data supporting this study are included in the article and its supplementary materials. 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Western blot analysis was used to det", "TNF-α in the supernatant of Aβ25-35-induced PC12 cells, so as to assess the anti-inflammatory", "to EGFR and MMP9. In vitro, Aβ25-35-induced PC12 cells treated with quercetin/luteolin had co"], "order_basis": "paper_text_order:739", "id": "assay:1"}, {"role": "data_generation", "definition_id": "apoptosis_assay", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["AD. For the detection of cell viability, the CCK-8 assay was employed to evaluate the protectiv", "e, United Kingdom). The Cell Counting Kit-8 (CCK-8; Lot No. WLA074) was purchased from Wanleibi"], "order_basis": "paper_text_order:852", "id": "assay:2"}, {"role": "data_generation", "definition_id": "western_blot", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["its active components on damaged PC12 cells. Western blot analysis was used to determine the protein e", "P < 0.001 vs. AD model, comparable to DHCL). Western blot showed AD model had elevated p-NF-κB p65/NF-"], "order_basis": "paper_text_order:968", "id": "assay:3"}, {"role": "data_generation", "definition_id": "elisa", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["3β, MMP-9, p-Tau, and Tau. Additionally, the ELISA was utilized to measure the secretion level", "e DHCL only inhibited p-NF-κB p65/NF-κB p65. ELISA showed MFXD and DHCL both reduced AD model's"], "order_basis": "paper_text_order:1210", "id": "assay:4"}, {"role": "analysis", "definition_id": "group_comparison", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["group_summary", "welch_t", "bootstrap_mean_difference", "group_comparison_anova"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["Differences between groups were analyzed by Student’s t-test or one-way ANOVA; nonparametric rank-sum tests were applied when assumptions were not met."], "order_basis": "consumes_earlier_output", "id": "assay:5"}]}