ArticleDrug design, development and therapy2025
Exploring Mechanisms of Lang Qing Ata in Non-Alcoholic Steatohepatitis Based on Metabolomics, Network Pharmacological Analysis, and Experimental Validation.
Article in Drug design, development and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Non-alcoholic steatohepatitis (NASH), as a progressive form of Non-alcoholic fatty liver disease (NAFLD), poses a significant threat to human health as a prevalent and common condition, with a lack of safe and effective therapeutic options. However, the therapeutic effects and potential mechanisms of Lang Qing Ata (LQAtta) against NASH remain elusive. Materials and Methods: The components of LQAtta were identified using Ultra-High Performance Liquid Chromatography-Tandem Mass Spectrometry (UHPLC-MS/MS). Subsequently, we employed network construction and analysis approaches within the field of network pharmacology. By integrating known databases and target prediction algorithms, which encompassed database-based target prediction, protein-protein interaction networks, as well as Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses, we unveiled the potential key targets and signaling pathways that these bioactive components might engage with. These discoveries were further validated in subsequent mouse models. An HFHC-induced NASH mouse model was used to validate the therapeutic effects and potential mechanisms of LQAtta on NASH. Results: From the UHPLC-MS/MS analysis of LQAtta, a total of 1518 chemical components were identified, with 106 of them being absorbed into the bloodstream. Additionally, based on the acquisition of targets from both LQAtta and the NASH database, a total of 160 common targets were screened. KEGG enrichment analysis indicated that LQAtta may alleviate NASH by modulating pathways such as the Toll-like receptor signaling pathway, the NF-κB signaling pathway, and inflammation-related pathways. In vivo experimental results demonstrated that LQAtta could alleviate liver injury, steatosis, and inflammation induced by NASH, thereby slowing down the disease process. Additionally, LQAtta inhibited the expression and phosphorylation of NF-κB protein, playing a role in preventing NASH. Conclusion: In this study, the combination of mass spectrometry analysis, network pharmacology, and animal experiments preliminarily elucidated the potential of LQAtta to treat NASH through NF-κB pathways.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.