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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
MSBIS: A Multi-Step Biomedical Informatics Screening Approach for Identifying Medications that Mitigate the Risks of
Dong Xu1, Alexandrea G Ham2, Rickey D Tivis3
1Department of Biomedical and Pharmaceutical Sciences, College of Pharmacy, Kasiska Division of Health Sciences, Idaho State University, Meridian, ID 83642, USA.
This study identifies fentanyl and loperamide as potential drugs to mitigate metoclopramide-induced tardive dyskinesia (TD). The developed multi-step biomedical informatics screening (MSBIS) approach efficiently detects drug interactions for combination therapy design.
Area of Science:
- Biomedical Informatics
- Pharmacology
- Drug Safety
Background:
- The U.S. Food and Drug Administration (FDA) issued a black box warning for metoclopramide (MCP) in 2009 due to increased risks of tardive dyskinesia (TD).
- Identifying strategies to mitigate MCP-induced TD is crucial for patient safety and effective treatment.
Purpose of the Study:
- To develop and validate a multi-step biomedical informatics screening (MSBIS) approach for identifying drugs that mitigate MCP-induced TD.
- To leverage publicly available bioactivity and drug safety data for drug repurposing and combination therapy design.
Main Methods:
- The MSBIS approach integrates TargetSearch bioinformatics scoring, FDA Adverse Event Reporting System (FAERS) analysis (unadjusted and adjusted odds ratios), and logistic regression.
- CHEMBL bioactivity data and FAERS data were utilized to assess drug anticholinergic activity and TD-mitigating effects.
- Statistical methods were employed to identify drugs with significant TD protective potential, controlling for confounding factors.
Main Results:
- Fentanyl emerged as the most promising drug candidate for mitigating MCP-induced TD, showing a significant protective effect (coefficient: -2.68; p-value<0.01).
- Clinical reports support fentanyl's efficacy, noting patient recovery from TD after fentanyl-induced general anesthesia.
- Loperamide was identified as a potent mitigating agent for a broader spectrum of drug-induced movement disorders via pharmacokinetic modifications.
Conclusions:
- The MSBIS approach is an efficient in silico tool for detecting unknown drug-drug interactions and designing combination therapies.
- This study demonstrates the potential of MSBIS for drug repurposing, specifically in addressing adverse drug reactions like TD.
- The findings highlight fentanyl and loperamide as potential therapeutic options for managing metoclopramide-induced TD and other movement disorders.
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