Guo Abra, Racz Rebecca, Hur Junguk, Lin Yu, Xiang Zuoshuang, Zhao Lili, Rinder Jordan, Jiang Guoqian, Zhu Qian, He Yongqun
University of Michigan Medical School, Ann Arbor, MI 48109 USA.
School of Medicine and Health Sciences, University of North Dakota, Grand Forks, ND 58203 USA.
J Biomed Semantics. 2016 May 21;7:29. doi: 10.1186/s13326-016-0069-x. eCollection 2016.
Neuropathy often occurs following drug treatment such as chemotherapy. Severe instances of neuropathy can result in cessation of life-saving chemotherapy treatment.
To support data representation and analysis of drug-associated neuropathy adverse events (AEs), we developed the Ontology of Drug Neuropathy Adverse Events (ODNAE). ODNAE extends the Ontology of Adverse Events (OAE). Our combinatorial approach identified 215 US FDA-licensed small molecule drugs that induce signs and symptoms of various types of neuropathy. ODNAE imports related drugs from the Drug Ontology (DrON) with their chemical ingredients defined in ChEBI. ODNAE includes 139 drug mechanisms of action from NDF-RT and 186 biological processes represented in the Gene Ontology (GO). In total ODNAE contains 1579 terms. Our analysis of the ODNAE knowledge base shows neuropathy-inducing drugs classified under specific molecular entity groups, especially carbon, pnictogen, chalcogen, and heterocyclic compounds. The carbon drug group includes 127 organic chemical drugs. Thirty nine receptor agonist and antagonist terms were identified, including 4 pairs (31 drugs) of agonists and antagonists that share targets (e.g., adrenergic receptor, dopamine, serotonin, and sex hormone receptor). Many drugs regulate neurological system processes (e.g., negative regulation of dopamine or serotonin uptake). SPARQL scripts were used to query the ODNAE ontology knowledge base.
ODNAE is an effective platform for building a drug-induced neuropathy knowledge base and for analyzing the underlying mechanisms of drug-induced neuropathy. The ODNAE-based methods used in this study can also be extended to the representation and study of other categories of adverse events.
神经病变常发生于化疗等药物治疗之后。严重的神经病变实例可能导致挽救生命的化疗治疗中断。
为支持与药物相关的神经病变不良事件(AE)的数据呈现和分析,我们开发了药物神经病变不良事件本体(ODNAE)。ODNAE扩展了不良事件本体(OAE)。我们的组合方法识别出215种美国食品药品监督管理局(FDA)批准的小分子药物,这些药物会诱发各种类型神经病变的体征和症状。ODNAE从药物本体(DrON)导入相关药物,并在化学实体信息数据库(ChEBI)中定义了它们的化学成分。ODNAE包括来自神经疾病功能基因组学数据库(NDF-RT)的139种药物作用机制以及基因本体(GO)中表示的186个生物学过程。ODNAE总共包含1579个术语。我们对ODNAE知识库的分析表明,诱发神经病变的药物归类于特定的分子实体组,尤其是碳、氮族、氧族和杂环化合物。碳药物组包括127种有机化学药物。识别出39个受体激动剂和拮抗剂术语,包括4对(31种药物)共享靶点的激动剂和拮抗剂(例如肾上腺素能受体、多巴胺、血清素和性激素受体)。许多药物调节神经系统过程(例如对多巴胺或血清素摄取的负调节)。使用SPARQL脚本查询ODNAE本体知识库。
ODNAE是构建药物诱发神经病变知识库以及分析药物诱发神经病变潜在机制的有效平台。本研究中使用的基于ODNAE的方法也可扩展到其他不良事件类别的呈现和研究。