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Strategies for developing dual-targeted soluble epoxide hydrolase inhibitors
Weiwei Li1, Yanping Sun2, Shuo Li2
1Department of Pharmacy, School of Chemical and Pharmaceutical Engineering, Hebei University of Science and Technology, Shijiazhuang, 050018, China.
Dual-target inhibitors of soluble epoxide hydrolase (sEH) offer enhanced efficacy and safety for complex diseases. This review explores their design, optimization, and potential for treating metabolic, cardiovascular, and inflammatory disorders.
Area of Science:
- Pharmacology
- Medicinal Chemistry
- Drug Discovery
Background:
- Soluble epoxide hydrolase (sEH) regulates epoxyeicosatrienoic acids (EETs), impacting metabolic, cardiovascular, cerebrovascular, inflammatory, and pain pathways.
- sEH is a validated therapeutic target, but single-target inhibitors face limitations in efficacy and resistance for complex diseases.
- Multi-target drug discovery, particularly dual-target inhibitors, presents a promising strategy to overcome these challenges.
Purpose of the Study:
- To systematically review the research progress of dual-target sEH inhibitors.
- To analyze the rational design, structure-activity relationship (SAR) optimization, and translational prospects of these ligands.
- To provide a foundation for developing improved multi-target sEH therapeutic strategies.
Main Methods:
- Literature review of studies on dual-target sEH inhibitors.
- Analysis of drug design principles and SAR data for sEH ligands.
- Evaluation of in vivo efficacy and safety data for dual-target agents.
Main Results:
- Dual-target sEH inhibitors demonstrate synergistic pathway modulation, enhancing therapeutic efficacy and reducing resistance.
- These inhibitors show improved in vivo efficacy and safety profiles compared to single-target agents.
- Evidence supports the potential of dual-target sEH inhibitors for various complex diseases.
Conclusions:
- Dual-target sEH inhibitors represent a significant advancement over single-target approaches.
- Further research into rational design and SAR optimization is crucial for clinical translation.
- These strategies hold promise for developing more effective and safer treatments for a range of disorders.
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