Exploring the Toxicological Relationship Between Diisononyl Cyclohexane-1,2-dicarboxylate and Atherosclerosis Through Network Toxicology, Machine Learning, and Multi-Dimensional Bioinformatics
Jingbo Cao, Ziyao Yang, Qi Zhang, Siwei Zou, Huning Zhang, Anning Yang, Yue Sun · 2026
Read Exploring the Toxicological Relationship Between Diisononyl Cyclohexane-1,2-dicarboxylate and Atherosclerosis Through Network Toxicology, Machine Learning, and Multi-Dimensional Bioinformatics by Jingbo Cao, Ziyao Yang, Qi Zhang, Siwei Zou, Huning Zhang, Anning Yang, Yue Sun (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13257353.txt.
Description
Jingbo Cao and colleagues use network toxicology and machine learning in a 2026 study of a plasticizer substitute and artery disease. DINCH replaced some older plasticizers, yet its long-term vessel effects are little studied. Databases were mined for targets shared by the chemical and atherosclerosis.
Two selection algorithms narrowed hundreds of shared targets to eight core genes, all raised in diseased tissue. The set pointed to lipid handling, vessel inflammation pathways, and diabetes-linked signaling. Immune mapping tied the genes to macrophages and T cells in artery walls. Docking and motion simulations showed the chemical binding its targets, most stably to a chemokine receptor. Environmental health readers get a mechanism sketch and a risk framework. The work is computational, so laboratory and population studies must test its predictions.
Catalog record
| CREATOR | Jingbo Cao, Ziyao Yang, Qi Zhang, Siwei Zou, Huning Zhang, Anning Yang, Yue Sun |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 45 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |