Evidence map›Paper›PMID 41808731›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2026

Modulation of Inflammatory and Oxidative Stress Pathways in COPD: Unraveling the Mechanisms of Fenugreek Through Network Pharmacology and Single-Cell RNA Sequencing.

Bahaerguli Aikeranmu, Dilinuer Maimaitiyiming, Haidiya Aierken

Abstract read
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Article in International journal of chronic obstructive pulmonary disease, 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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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

3 authors.

Bahaerguli AikeranmuDepartment of Respiratory Medicine, Bayingolin Mongolian Autonomous Prefecture People's Hospital, Korla, Xinjiang Uygur Autonomous Region, People's Republic of China.
Dilinuer MaimaitiyimingDepartment of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang Uygur Autonomous Region, People's Republic of China.
Haidiya AierkenRespiratory Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang Uygur Autonomous Region, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aims to investigate the potential targets and signaling pathways of fenugreek, a key component of Hanchuan Zupa Granule, in treating COPD using network pharmacology and single-cell RNA sequencing. Patients and Methods: Utilizing single-cell RNA sequencing data on lung tissues from COPD patients (GSE173896 dataset) and network pharmacology, we analyzed alterations in cell populations, pseudotime trajectory of alveolar macrophages, intercellular communication networks, and performed functional enrichment and molecular docking of active fenugreek compounds with disease-related targets. Key bioinformatics tools and databases included Seurat, Monocle2, CellChat, Cytoscape, AutoDock Vina, PyMOL, TCMSP, SwissTargetPrediction, and Comparative Toxicogenomics Database. Results: A total of 39,240 high-quality single cells were obtained from COPD patients, leading to the identification of 23 distinct cell clusters, including 13 major immune and epithelial cell types. Notably, the proportion of senescent alveolar macrophages was significantly higher in COPD samples compared to controls, indicating enhanced involvement in inflammation and oxidative stress (P < 0.05). Pseudotime trajectory analysis categorized nine alveolar macrophage subtypes, demonstrating distinct differentiation pathways concerning inflammation, tissue repair, and cellular senescence. Network pharmacology identified 148 overlapping genes between the targets of fenugreek and COPD, with functional enrichment analyses revealing significant associations with "cytokine-mediated signaling" and "oxidative stress response." Molecular docking indicated that bioactive compounds of fenugreek exhibited strong binding affinities to CCL2 and IL1R1, confirming their roles in disrupting inflammatory signalling and limiting oxidative damage. Conclusion: Our integrated analysis suggests that fenugreek in Hanchuan Zupa Granule holds promise as a therapeutic strategy for modulating inflammatory and oxidative pathways in COPD and provides a strong mechanistic hypothesis centered on the IL1R1/CCL2 axis for experimental validation.

Indexed as

Anti-Inflammatory AgentsInflammation MediatorsLungOxidative StressPlant ExtractsPulmonary Disease, Chronic ObstructiveSingle-Cell AnalysisTrigonellaGene Regulatory NetworksHumansMacrophages, AlveolarMolecular Docking SimulationNetwork PharmacologySequence Analysis, RNASignal TransductionSingle-Cell Gene Expression AnalysisAnti-Inflammatory Agentsfenugreek seed mealInflammation MediatorsPlant Extractschronic obstructive pulmonary diseaseHanchuan Zupa Granulesmolecular dockingnetwork pharmacology

Identifiers

PMID41808731
PMCPMC12968809

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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.