Evidence map›Paper›PMID 40184095›Full record

ArticleMedicine2025

Exploring the mechanism of Pujin oral liquid in the treatment of preterm white matter injury using network pharmacology and molecular docking.

Xing-Ruo Gong, Xiao-Rui You, Mei-Ran Guo, Xue-Ying Ding, Bing-Xiang Ma

Abstract read
In one paragraph

Article in Medicine, 2025. 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

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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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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

5 authors.

Xing-Ruo GongDepartment of Pediatrics, Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.ORCID 0009-0006-2889-903
Xiao-Rui YouHebei University of Chinese Medicine, Shijiazhuang, Hebei Province, China.
Mei-Ran GuoHebei University of Chinese Medicine, Shijiazhuang, Hebei Province, China.
Xue-Ying DingThe First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan Province, China.
Bing-Xiang MaThe First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan Province, China.ORCID 0000-0001-6245-4698

Funding

Traditional Chinese Medicine, a characteristic backbone discipline of Henan Province STG-ZYX03-202129
6 · The paper itself

Abstract

We aimed to elucidate the pharmacological mechanisms of Pujin oral liquid in treating preterm white matter injury (PWMI). The Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform was used to identify Pujin oral liquid's active ingredients and predict their targets. The known targets related to treating PWMI were identified from the GeneCards, Online Mendelian Inheritance in Man, DisGeNet, PharmGKB, and CTD databases. A drug-disease intersecting protein-protein interaction network using a STRING database was built; gene ontology function and Kyoto Encyclopedia of Genes and Genomes signaling pathway enrichment analyses were performed on common target genes using the Metascape database. Molecular docking of the active ingredients and key targets was validated using the AutoDock Vina software. In total, 470 Pujin oral liquid targets and 13,290 disease targets were screened from multiple databases, and Venn analysis identified 407 common targets. Protein-protein interaction analysis showed that Pujin oral liquid may impact SRC, MAPK3, MAPK1, TP53, STAT3, AKT1, PIK3R1, JUN, RELA, CTNNB1, and ESR1. Moreover, gene ontology functional analysis revealed processes such as the response to inorganic substances, cellular response to organic cyclic compounds, response to xenobiotic stimuli, regulation of system processes, and protein phosphorylation. The main signaling pathways were neuroactive ligand-receptor interaction and the cGMP-PKG, JAK-STAT, and cAMP signaling pathways. Molecular docking showed that the active ingredients' small molecules bond strongly to target proteins. The therapeutic effect of Pujin oral liquid on PWMI is multifaceted, involving multiple targets and pathways. Its clinical application in treating preterm white matter injuries is promising.

Indexed as

Drugs, Chinese HerbalWhite MatterAdministration, OralHumansInfant, NewbornInfant, PrematureMolecular Docking SimulationNetwork PharmacologyProtein Interaction MapsSignal TransductionDrugs, Chinese Herbal

Identifiers

PMID40184095
PMCPMC11709195

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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.