Structural modifications of the serotonin 5-HT7 receptor agonist N-(4-cyanophenylmethyl)-4-(2-biphenyl)-1-piperazinehexanamide (LP-211) to improve in vitro microsomal stability: A case study

被引:14
作者
Lacivita, Enza [1 ]
Podlewska, Sabina [2 ,3 ]
Speranza, Luisa [4 ]
Niso, Mauro [1 ]
Satala, Grzegorz [2 ]
Perrone, Roberto [1 ]
Perrone-Capano, Carla [4 ,5 ]
Bojarski, Andrzej J. [2 ]
Leopoldo, Marcello [1 ]
机构
[1] Univ Bari A Moro, Dipartimento Farm Sci Farmaco, Via Orabona 4, I-70125 Bari, Italy
[2] Polish Acad Sci, Inst Pharmacol, Dept Med Chem, Smetna 12, PL-31343 Krakow, Poland
[3] Jagiellonian Univ, Fac Chem, Ingardena 3, PL-30060 Krakow, Poland
[4] CNR, Inst Genet & Biophys Adrian Buzzati Traverse, Via P Castellino 111, I-80131 Naples, Italy
[5] Univ Naples Federico II, Dept Pharm, Via D Montesano 49, I-8013 Naples, Italy
关键词
5-HT7; receptor; Arylpiperazine; Microsomal stability; Machine learning; Neurite outgrowth; MACHINE LEARNING TECHNIQUES; FRAGILE-X-SYNDROME; NEURONAL MORPHOLOGY; ANTIPSYCHOTIC-DRUG; RADICAL ARYLATION; VIVO EVALUATION; RETT-SYNDROME; RAT PLASMA; WILD-TYPE; BRAIN;
D O I
10.1016/j.ejmech.2016.05.005
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
The 5-HT7 serotonin receptor is revealing a promising target for innovative therapeutic strategies of neurodevelopmental and neuropsychiatric disorders. Here, we report the synthesis of thirty long-chain arylpiperazine analogs of the selective and brain penetrant 5-HT7 receptor agonist LP-211 (1) designed to enhance stability towards microsomal oxidative metabolism. Commonly used medicinal chemistry strategies were used (i.e., reduction of overall lipophilicity, introduction of electron-withdrawing groups, blocking of potential vulnerable sites of metabolism), and in vitro microsomal stability was tested. The data showed that the adopted design strategy does not directly translate into improvements in stability. Instead, the metabolic stability of the compounds was related to the presence of specific substituents in well-defined regions of the molecule. The collected data allowed for the construction of a machine learning model that, in a given chemical space, is able to describe and quantitatively predict the metabolic stability of the compounds. The majority of the synthesized compounds maintained high affinity for 5-HT7 receptors and showed selectivity towards 5-HT6 and dopamine D-2 receptors and different selectivity for 5-HT1A and alpha(1) adrenergic receptors. Compound 50 showed 3-fold higher in vitro stability towards oxidative metabolism than 1 and was able to stimulate neurite outgrowth in neuronal primary cultures through the 5-HT7 receptor in a shorter time and at a lower concentration than the agonist 1. A preliminary disposition study in mice revealed that compound 50 was metabolically stable and was able to pass the blood-brain barrier, thus representing a new tool for studying the pharmacotherapeutic potential of 5-HT7 receptor in vivo. (C) 2016 Elsevier Masson SAS. All rights reserved.
引用
收藏
页码:363 / 379
页数:17
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