Evidence map›Paper›PMID 41516127›Full record

ArticleInternational journal of molecular sciences2025

Integrating Network Pharmacology, Machine Learning, and Experimental Validation to Elucidate the Mechanism of Cardamonin in Treating Idiopathic Pulmonary Fibrosis.

Wenyue Zhang, Yi Guo, Qiushi Wang, Kai Wang, Huning Zhang, Sirong Chang, Anning Yang, Zhihong Liu, Yue Sun

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Wenyue ZhangSchool of Public Health, Ningxia Medical University, Yinchuan 750000, China.
Yi GuoSchool of Public Health, Ningxia Medical University, Yinchuan 750000, China.
Qiushi WangSchool of Public Health, Ningxia Medical University, Yinchuan 750000, China.
Kai WangSchool of Public Health, Ningxia Medical University, Yinchuan 750000, China.
Huning ZhangSchool of Public Health, Ningxia Medical University, Yinchuan 750000, China.
Sirong ChangSchool of Public Health, Ningxia Medical University, Yinchuan 750000, China.
Anning YangKey Laboratory of Metabolic Cardiovascular Disease Research, National Health Commission, Ningxia Medical University, Yinchuan 750000, China.
Zhihong LiuSchool of Public Health, Ningxia Medical University, Yinchuan 750000, China.
Yue SunSchool of Public Health, Ningxia Medical University, Yinchuan 750000, China.ORCID 0000-0003-4480-0811

Funding

China Postdoctoral Science Foundation 2023MD734192National Natural Science Foundation of China 82060264National Natural Science Foundation of China 82160088National Natural Science Foundation of China 82260142National Natural Science Foundation of China 82271626National Natural Science Foundation of China 82360639National Natural Science Foundation of China 82560636Ningxia Natural Science Foundation 2024AAC03239Ningxia Natural Science Foundation 2024AAC03241Ningxia Natural Science Foundation 2025AAC030721Ningxia Natural Science Foundation 2025AAC050075Open competition mechanism to select the best candidates for key research projects of Ningxia Medical University XJKF230106
6 · The paper itself

Abstract

Idiopathic pulmonary fibrosis (IPF) is a chronic and irreversible interstitial lung disease characterized by progressive scarring of the lungs. The available therapeutic strategies are limited and primarily focus on slowing disease progression rather than achieving fibrosis reversal. Cardamonin (CDN), a food-derived natural chalcone, has exhibited anti-fibrotic activity in liver and kidney fibrosis models; however, its role and underlying mechanism in IPF remain unelucidated. Herein, we integrated network pharmacology, machine learning, molecular simulations, and in vitro experiments. Network pharmacology identified 135 overlapping targets between CDN and IPF, which demonstrated a significant enrichment in the Phosphatidylinositol 3-Kinase/Protein Kinase B signaling pathway (PI3K/AKT). Machine learning further prioritized 6 core targets, with IGF1 emerging as a key candidate. Molecular docking revealed a favorable binding energy of -7.9 kcal/mol for the CDN-IGF1 complex. Subsequent 100 ns molecular dynamics simulations further confirmed its robust binding stability, yielding a mean binding free energy of -150.978 kcal/mol. In vitro, CDN significantly mitigated fibrosis in bleomycin (BLM)-challenged A549 cells, downregulating the expression of α-smooth muscle actin (α-SMA) and fibronectin. This effect was accompanied by a beneficial reversal of epithelial-mesenchymal transition (EMT), as indicated by increased E-cadherin levels and decreased vimentin expression. Mechanistically, CDN significantly suppressed the IGF1/PI3K/AKT axis; this inhibitory effect was partially reversed by exogenous IGF1 supplementation and further enhanced by the PI3K-specific inhibitor LY294002. This work provides the evidence that CDN alleviates BLM-induced pulmonary fibrosis by targeting the IGF1/PI3K/AKT-EMT axis. These findings lend support to a robust mechanistic basis for developing CDN as a potential therapeutic candidate for IPF. It should be noted that these conclusions are drawn from in vitro experiments using A549 cells, and further validation in primary alveolar epithelial cells and animal models is warranted to confirm their physiological relevance.

Indexed as

ChalconesIdiopathic Pulmonary FibrosisMachine LearningNetwork PharmacologyBleomycinEpithelial-Mesenchymal TransitionHumansInsulin-Like Growth Factor IMolecular Docking SimulationMolecular Dynamics SimulationPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktSignal TransductionBleomycincardamoninChalconesInsulin-Like Growth Factor IPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktCardamoninidiopathic pulmonary fibrosismachine learningnetwork pharmacology

Identifiers

PMID41516127
PMCPMC12786256

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Registered trials

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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.