PXD048007

PXD048007 is an original dataset announced via ProteomeXchange.

Title	Unraveling the mechanism of ethyl acetate extract from Prismatomeris connata Y. Z. Ruan root in treating pulmonary fibrosis: insights from bioinformatics, network pharmacology, and experimental validation
Description	Pulmonary fibrosis (PF) is a terminal lung disease characterized by fibroblast proliferation, accumulation of extracellular matrix accumulation, inflammatory damage, and tissue structure destruction. The pathogenesis of this disease, especiallyparticularly idiopathic pulmonary fibrosis (IPF), is still remains unknown. Macrophages play a significant rolemajor roles in organ fibrosis diseases, including pulmonary fibrosis. The phenotype and polarization of macrophages are closely associated with the process of pulmonary fibrosis. A new direction in drug research on for antipulmonary fibrosis is focuseds on developing drugs that maintain the stability of the pulmonary microenvironment. Here, tThrough bioinformatics analysis and experiments involving bleomycininduced pulmonary fibrosis in mice, we confirmed the importance of macrophage polarization in IPF. The analysis revealed that macrophage polarization in IPF involves a change in the phenotypice spectrum. Furthermore, the experiments demonstrated showed high expression of M2-type macrophage-related-associated biomarkers and inducible nitric oxide synthase, thus indicating an imbalance in M1/M2 polarization of pulmonary macrophages in mice with pulmonary fibrosis. Our investigation revealed that the ethyl acetate extract (HG2) obtained from the roots of Prismatomeris connataPrismatomeris connata Y. Z. Ruan exhibits therapeutic efficacy against bleomycin-induced pulmonary fibrosis. HG2 demonstrates the ability to modulates macrophage polarization, alterations in the TGF‐β/Smads pSmad pathway, and downstream protein expression in the context of pulmonary fibrosis. Drawing upon On the basis of our findings, we believe that HG2 exhibits has potential as a novel component of traditional Chinese medicine component for treating pulmonary fibrosis.
HostingRepository	PRIDE
AnnounceDate	2024-10-22
AnnouncementXML	Submission_2024-10-22_06:19:34.353.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Menglin Li
SpeciesList	scientific name: Mus musculus (Mouse); NCBI TaxID: 10090;
ModificationList	No PTMs are included in the dataset
Instrument	Orbitrap Fusion Lumos

Revision	Datetime	Status	ChangeLog Entry
0	2023-12-20 08:12:02	ID requested
1	2024-01-06 18:30:44	announced
⏵ 2	2024-10-22 06:19:34	announced	2024-10-22: Updated project metadata.

10.3389/FIMMU.2023.1330055;

submitter keyword: Inflammation/wound healing balance, macrophages polarization,Pulmonary Fibrosis, Ethyl acetate extract, Prismatomeris connata Y. Z. Ruan

Hongtao Jin
contact affiliation	New Drug Safety Evaluation Center, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, China; NMPA Key Laboratory for Safety Research and Evaluation of Innovative Drug, Beijing 102206, China; Beijing Union -Genius Pharmaceutical Technology Development Co. Ltd., Beijing 100176, China
contact email	jinhongtao@imm.ac.cn
lab head
Menglin Li
contact affiliation	Peking Union Medical College
contact email	menglinli86@gmail.com
dataset submitter

Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2024/01/PXD048007

PRIDE project URI

• PRIDE
  1. PXD048007
     1. Label: PRIDE project
     2. Name: Unraveling the mechanism of ethyl acetate extract from Prismatomeris connata Y. Z. Ruan root in treating pulmonary fibrosis: insights from bioinformatics, network pharmacology, and experimental validation