Hiring in life sciences? Share your open positions with our professional community. Read more Close

Advertisement

Integrated network pharmacology, transcriptomics and proteomics unveils the mechanisms of Forsythiae Fructus against acute lung injury.

Created on 13 Aug 2026

Authors

Qingqing Deng, Zeyang Dong, Qingqing Li, Jiaxin Bai, Jiqing Bai, Xiaoping Wang

Published in

Die Naturwissenschaften. Volume 113. Issue 5. Aug 13, 2026. Epub Aug 13, 2026.

Abstract

Acute lung injury (ALI) is a life-threatening respiratory disorder with high mortality. Forsythiae Fructus (FF), a traditional Chinese medicine widely used for respiratory diseases, shows therapeutic potential against ALI, yet its underlying mechanisms remain poorly understood from a multi-omics perspective. This study integrated network pharmacology, transcriptomics, and proteomics to elucidate the protective mechanisms of FF against ALI. The chemical profile of FF was characterized by UPLC-Q-TOF-MS/MS, and an LPS-induced ALI rat model was established for pharmacodynamic evaluation. The optimal dose group was selected for multi-omics analysis. A total of 95 compounds were identified, and integrated analysis revealed that 11 core components mediated anti-ALI effects by modulating 347 targets across 25 signaling pathways. Molecular docking and Western blot validation demonstrated that these targets are primarily associated with the PI3K-Akt/mTOR, MAPK/ERK/p-38, JAK-STAT, and PPARγ signaling pathways. This study provides a comprehensive multi-omics framework for understanding the mechanisms of FF against ALI.

PMID:
42593526
Bibliographic data and abstract were imported from PubMed on 13 Aug 2026.

Read full publication at:
Please sign in to see all details.

Advertisement

Stats

  • Community rating n/a 0 votes
  • Reviewers' rating n/a 0 votes
  • Your rating

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

  • Recommendations n/a n/a positive of 0 vote(s)
  • Views 5
  • Comments 0

Recommended by

  • No recommendations yet.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.

Advertisement