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From target specificity to metabolic efficiency: Design and optimization of etomidate analogues for potential improvement in postoperative outcomes
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Acta Pharmaceutica Sinica B | 2026, 16(4) : 2420 - 2443
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Acta Pharmaceutica Sinica B | 2026, 16(4): 2420-2443
ORIGINAL ARTICLE
From target specificity to metabolic efficiency: Design and optimization of etomidate analogues for potential improvement in postoperative outcomes
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Yi Zhao1, Wei Ai1, Jieyu Zhao2, Xi Yang3, Wencheng Liu1, Yaru Ma1, Jianrui Mou1, Ao Hai1, Ran Ji1, Yu Gan1, Zhuang Miao1, Shilong Hu1, Zhenbo Huang4, Jin Liu1, Xianggen Liu1,5, Jun Yang1, Bowen Ke1,4
Affiliations
    1 Department of Anesthesiology, Laboratory of Anesthesia and Critical Care Medicine, National-Local Joint Engineering Research Centre of Translational Medicine of Anesthesiology, West China Hospital, Sichuan University, Chengdu 610041, China;
    2 West China School of Pharmacy, Sichuan University, Chengdu 610041, China;
    3 Department of Anesthesiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 610072, China;
    4 Key Laboratory of Tropical Biological Resources of Ministry of Education, School of Pharmaceutical Sciences, Hainan University, Haikou 570228, China;
    5 College of Computer Science, Sichuan University, Chengdu 610065, China
doi: 10.1016/j.apsb.2026.01.008
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While transient perioperative side effects of intravenous anesthetics are often tolerated, the persistent postoperative sequelae resulting from drug accumulation pose a critical threat to patient safety. Etomidate, introduced in the 1970s, remains favored for its minimal hemodynamic impact but is severely limited by sustained adrenal suppression, leading to higher mortality and poorer outcomes in critically ill patients. To address these challenges, we reframed our strategy from solely optimizing receptor specificity to enhancing metabolic efficiency, thereby reducing prolonged postoperative exposure and mitigating sustained adverse effects. Using a deep-learning based molecule optimization algorithm, we identified metabolically favorable lead compounds and synthesized 31 novel imidazole-based etomidate derivatives. Among these, ETO-4 emerged as the most promising candidate, retaining potent anesthetic activity while accelerating metabolic clearance and significantly diminishing adrenal suppression. Plasma cortisol assays confirmed the effect of ETO-4 on adrenal function is greatly reduced. These findings underscore a paradigm shift in anesthetic drug design, demonstrating that prioritizing enhanced metabolic profiles can yield safer, more effective agents that improve postoperative outcomes.
Accelerate metabolism clearance  /  Intravenous general anesthetic etomidate derivatives  /  Adrenal cortex function  /  Gamma-aminobutyric acid type A receptors  /  11β-hydroxylase  /  Soft drug  /  Loss of righting reflex  /  Recovery of righting reflex
Yi Zhao, Wei Ai, Jieyu Zhao, Xi Yang, Wencheng Liu, Yaru Ma, Jianrui Mou, Ao Hai, Ran Ji, Yu Gan, Zhuang Miao, Shilong Hu, Zhenbo Huang, Jin Liu, Xianggen Liu, Jun Yang, Bowen Ke. From target specificity to metabolic efficiency: Design and optimization of etomidate analogues for potential improvement in postoperative outcomes[J]. Acta Pharmaceutica Sinica B, 2026 , 16 (4) : 2420 -2443 . DOI: 10.1016/j.apsb.2026.01.008
Year 2026 volume 16 Issue 4
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doi: 10.1016/j.apsb.2026.01.008
  • Receive Date:2025-07-02
  • Online Date:2026-09-17
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  • Received:2025-07-02
  • Revised:2025-10-24
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https://castjournals.cast.org.cn/joweb/apsb/EN/10.1016/j.apsb.2026.01.008
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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