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Exploring the potential mechanisms of acetyl tributyl citrate exposure on osteoarthritis based on novel network
Qiwang He1,2,3, Yining Chen4, Caiyun Huang5
1Hubei University of Chinese Medicine, Wuhan, 430061, China.
Abstract:
The toxic side effects of acetyl tributyl citrate (ATBC) on humans are concerning, but studies related to its effects on osteoarthritis (OA) are lacking. Therefore, this study aimed to explore the potential targets and mechanisms of action of ATBC in OA through network toxicology. We obtained ATBC-related targets from the ChEMBL, Swiss Target Prediction, and STITCH databases and OA-related targets from the GeneCards, DisGeNET, and OMIM databases and identified overlapping targets. Core targets (key molecules in the progression of diseases) were determined via the STRING database and Cytoscape software, followed by further Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses to determine potential mechanisms in depth. Moreover, a gene interaction and competing endogenous RNA (ceRNA) network for the core targets was constructed. Additionally, the expression levels of the core targets were preliminarily validated using single-cell data from the GEO database. Furthermore, in-depth validation of the core targets was carried out through molecular docking and molecular dynamics simulations. A total of 132 overlapping targets between ATBC and OA were identified, and six core targets (TP53, EZH2, HDAC1, HDAC2, SIRT1, and SMARCA4) were further screened. The results of the enrichment analysis revealed that the core pathways related to the effect of ATBC on OA mainly involved key signaling cascades, including the thyroid hormone signaling pathway, the Notch signaling pathway, and cellular senescence. Single-cell analysis revealed that the core target is expressed in different cell subpopulations. Molecular docking and molecular dynamics simulation results indicate that there is a stable binding interaction between ATBC and the core target. This study provides a theoretical foundation for the molecular mechanisms of OA triggered by ATBC, highlighting the value of network toxicology in assessing the toxicity of emerging environmental pollutants. However, further clinical and experimental investigations are needed to validate these findings.
Insights
Acetyl tributyl citrate (ATBC) may trigger osteoarthritis (OA) by affecting key targets like TP53 and EZH2. Network toxicology reveals potential mechanisms involving thyroid hormone and Notch signaling pathways.
Area of Science:
- Environmental toxicology
- Molecular biology
- Computational toxicology
Background:
- Acetyl tributyl citrate (ATBC) exposure raises concerns regarding human toxicity.
- Limited research exists on the specific effects of ATBC on osteoarthritis (OA).
Purpose of the Study:
- To investigate the molecular targets and mechanisms through which ATBC may influence OA.
- To apply network toxicology approaches to understand ATBC-induced OA.
Main Methods:
- Utilized multiple databases (ChEMBL, Swiss Target Prediction, STITCH, GeneCards, DisGeNET, OMIM) to identify ATBC and OA targets.
- Employed network analysis (STRING, Cytoscape) to determine core targets and performed Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses.
- Validated core targets using single-cell expression data, molecular docking, and molecular dynamics simulations.
Main Results:
- Identified 132 overlapping targets between ATBC and OA, with six core targets (TP53, EZH2, HDAC1, HDAC2, SIRT1, SMARCA4) selected.
- Enrichment analysis indicated involvement of thyroid hormone signaling, Notch signaling, and cellular senescence pathways.
- Molecular docking and dynamics simulations confirmed stable binding interactions between ATBC and core targets.
Conclusions:
- This study provides a theoretical basis for ATBC's role in OA pathogenesis via identified molecular targets and pathways.
- Highlights the utility of network toxicology in evaluating environmental pollutant toxicity.
- Further clinical and experimental validation is recommended.
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