Evidence map›Paper›PMID 42729875›Full record

ArticleFrontiers in pharmacology2026

Molecular and metabolic mechanisms of quercetin in liver fibrosis: an integrated network pharmacology, metabolomics, and molecular dynamics study.

Xiaowen Song, Tianfu Guo, Yaxin Li, Jiali Liu, Shufang Niu, Donghua Zheng, Hongxun Xue, Jianfang Sun, Feng Bai, Zhenwang Wang and 1 more

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 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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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Xiaowen Song *Department of Pharmacy, Baotou Medical College, Baotou, China.
Tianfu Guo *Department of Pharmacy, Baotou Medical College, Baotou, China.
Yaxin Li *Department of Pharmacy, Baotou Medical College, Baotou, China.
Jiali LiuDepartment of Pharmacy, Baotou Medical College, Baotou, China.
Shufang NiuDepartment of Pharmacy, Baotou Medical College, Baotou, China.
Donghua ZhengDepartment of Pharmacy, Baotou Medical College, Baotou, China.
Hongxun XueDepartment of Pharmacy, Baotou Medical College, Baotou, China.
Jianfang SunThe First Affiliated Hospital of Baotou Medical College, Baotou, China.
Feng BaiThe First Affiliated Hospital of Baotou Medical College, Baotou, China.
Zhenwang WangDepartment of Pharmacy, Baotou Medical College, Baotou, China.
Wanfu BaiDepartment of Pharmacy, Baotou Medical College, Baotou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Liver fibrosis, a severe chronic liver injury sequela, lacks effective therapies. Quercetin, a natural flavonoid, exhibits multi-target anti-fibrotic potential. Methods: This study integrated network pharmacology,metabolomics, molecular docking, and molecular dynamics simulations to investigate its mechanisms. Results: Network analysis identified 203 overlapping targets, with core targets including protein kinase B (AKT1), interleukin-6 (IL6), tumor protein p53 (TP53), and tumor necrosis factor (TNF), which were enriched in PI3K-Akt and TNF signaling pathways. In CCl4- induced rats (quercetin 50 mg/kg/day), quercetin alleviated pathological damage, significantly reduced collagen area by 43.1% (P = 0.006), and lowered serum alanine aminotransferase, aspartate aminotransferase, and type III procollagen levels. Metabolomics revealed 32 differential metabolites, implicating multiple metabolic pathways including lipid and amino acid metabolism. Molecular docking showed strong binding to AKT1 (5.8 kcal/mol) and TNF (7.2 kcal/ mol), with stable complexes over 100 ns simulations. QPCR was used to detect the expression of PI3K/AKT1 core targets in liver tissue, and experimental verification confirmed the predicted key targets. Conclusion: This multi-faceted study elucidates quercetin's anti-fibrotic mechanism, laying a foundation for its therapeutic development.

Indexed as

liver fibrosismetabolomicsmolecular dockingmolecular dynamics simulationnetwork pharmacologyquercetin

Identifiers

PMID42729875
PMCPMC13563204

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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.