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BRIEF RESEARCH REPORT article
Front. Toxicol.
Sec. Computational Toxicology and Informatics
Volume 7 - 2025 | doi: 10.3389/ftox.2025.1549268
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We developed the Reasoning Over Biomedical Objects linked in Knowledge Oriented Pathways (ROBOKOP) application as an open-source knowledge graph system to support evidence-based biomedical discovery and hypothesis generation. This study aimed to apply ROBOKOP to suggest biological mechanisms that might explain the hypothesized relationship between exposure to the herbicide and lipid-lowering drug clofibrate, an activator of peroxisome proliferator-activated receptor-α (PPARA), and hepatic fibrosis. We queried ROBOKOP to first establish that ROBOKOP could demonstrate a relationship between clofibrate and PPARA, as a validation test, and second identify intermediary genes and biological processes or activities that might relate the activation of PPARA by clofibrate to hepatic fibrosis. Queries of ROBOKOP returned a number of paths relating clofibrate, PPARA, and hepatic fibrosis. One path suggested the following: clofibrate - affects / increases_ expression_ of / increases_ activity_ of / increases_ response_ to / decreases_ response_ to / is_ related_ to - PPARA -is_ actively_ involved_ in - cellular response to lipid - actively_ involves -CCL2 - is_ genetically_ associated_ with - hepatic fibrosis. This result established a relationship between clofibrate and PPARA and further suggested that: PPARA is actively involved with the cellular response to lipid, which actively involves the chemokine ligand CCL2, which is genetically associated with hepatic fibrosis; thus, we can infer that PPARA, upon activation by clofibrate, is involved with hepatic fibrosis. We conclude that ROBOKOP can be used to derive insights into biological mechanisms that might explain relationships between environmental exposures and liver toxicity.
Keywords: knowledge graph, knowledge sources, Semantic harmonization, reasoning algorithm, Adverse outcome pathway
Received: 20 Dec 2024; Accepted: 14 Mar 2025.
Copyright: © 2025 Fecho, Tucker, Beasley, Auerbach, Bizon and Tropsha. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Karamarie Fecho, Renaissance Computing Institute, Chapel Hill, United States
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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