Integrated Network Pharmacology and Lipidomics to Reveal the Inhibitory Effect of Qingfei Oral Liquid on Excessive Autophagy in RSV-Induced Lung Inflammation

12Citations
Citations of this article
9Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Background: Respiratory syncytial virus (RSV) can cause varying degrees of lung inflammation in children. Qingfei Oral Liquid (QF) is effective in treating childhood RSV-induced lung inflammation (RSV-LI) in clinics, but its pharmacological profiles and mechanisms remain unclear. Methods: This study combined network Pharmacology, lipidomics, pharmacodynamics, and pathway validation to evaluate the therapeutic mechanisms of QF. Using Cytoscape (v3.8.2) and enrichment analyses from the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO), a global view of the putative compound-target-pathway network was created. The corresponding lipidomic profiles were then used to detect differently activated lipids, revealing the metabolic pathway, using ultra-high-performance liquid chromatography linked to hybrid Quadrupole-Exactive Orbitrap mass spectrometry (UHPLC-Q-Exactive Orbitrap MS). Meanwhile, the in vivo efficiency of QF, the enrichment pathway, and the excessive autophagy inhibition mechanisms were validated in RSV-infected mice models. Results: The network pharmacology results demonstrated 117 active compounds acted directly upon 101 core targets of QF against RSV-LI. The most significantly enriched pathway was the PI3K/Akt/mTOR signaling pathway (p < 0.05). In addition, untargeted lipidomics were performed, and it was revealed that higher lung levels of DAG 30:0, DAG 30:5, DAG 32:0, DAG 16:0_18:0, DAG 17:0_17:0, DAG 34:1, DAG 36:0, DAG 36:1 in the RSV-LI group were decreased after QF administration (FDR < 0.05, FC > 1.2). Lipin-1, a key enzyme in DAG synthesis, was increased in the RSV-LI mouse model. Animal experiments further validated that QF inhibited the PI3K/Akt/mTOR signaling pathway, with lower lung levels of phosphorylated PI3K, AKT and mTOR, as well as its related proteins of lipin-1 and VPS34 (p < 0.01). Finally, pharmacodynamic investigations indicated that QF reduced airway inflammation caused by excessive autophagy by decreasing lung levels of RSV F and G proteins, Beclin-1, Atg5, and LC3B II, IL-1 and TNF-α (p < 0.05). Conclusion: Lipidomic-based network pharmacology, along with experimental validation, may be effective approaches for illustrating the therapeutic mechanism of QF in the treatment of RSV-LI.

References Powered by Scopus

Metascape provides a biologist-oriented resource for the analysis of systems-level datasets

8566Citations
N/AReaders
Get full text

The STRING database in 2017: Quality-controlled protein-protein association networks, made broadly accessible

5266Citations
N/AReaders
Get full text

TCMSP: A database of systems pharmacology for drug discovery from herbal medicines

3795Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Network pharmacology, a promising approach to reveal the pharmacology mechanism of Chinese medicine formula

342Citations
N/AReaders
Get full text

Identifying the Potential of miRNAs in Houttuynia cordata-Derived Exosome-Like Nanoparticles Against Respiratory RNA Viruses

14Citations
N/AReaders
Get full text

Low-Dose Cadmium Potentiates Metabolic Reprogramming Following Early-Life Respiratory Syncytial Virus Infection

10Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Lin, L., An, L., Chen, H., Feng, L., Lu, M., Liu, Y., … Wang, S. (2021). Integrated Network Pharmacology and Lipidomics to Reveal the Inhibitory Effect of Qingfei Oral Liquid on Excessive Autophagy in RSV-Induced Lung Inflammation. Frontiers in Pharmacology, 12. https://doi.org/10.3389/fphar.2021.777689

Readers over time

‘22‘23‘2402468

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 2

50%

Professor / Associate Prof. 1

25%

Researcher 1

25%

Readers' Discipline

Tooltip

Medicine and Dentistry 2

50%

Nursing and Health Professions 1

25%

Neuroscience 1

25%

Article Metrics

Tooltip
Mentions
News Mentions: 1

Save time finding and organizing research with Mendeley

Sign up for free
0