新型5-HT重摄取抑制剂的设计、合成及活性评价

在对已知各种结构类型的5-HT重摄取抑制剂分子结构全面分析的基础上, 建立了SSRIs药效团模型. 基于该模型应用UNITY程序对NCI-3D和Maybridge-3D数据库进行三维结构的限制性查询, 在获得的命中结构的信息指导下, 设计合成了3种全新结构类型的化合物, 并完成了初步的药理活性评价. 这些化合物均显示出不同程度的5-HT重摄取抑制活性, 其中5个化合物显示高抑制活性. 哌嗪取代的二苯脒类化合物的结构新颖, 较好地符合5-HT重摄取抑制剂药效团模型, 与SSRIs类化合物三维定量构效关系研究得到的CoMFA模型有较好的适配性.     

芳基、芳甲基及哌嗪基脒类化合物的设计与合成及5-HT和NE重摄取双重抑制活性

基于药效团模型和前期的研究结果, 设计合成了一类全新结构类型的芳基、芳甲基及哌嗪基脒类化合物, 通过1H NMR, HRMS对化合物结构进行了确证, 并完成了初步的体外药理活性评价. 结果表明, 这些化合物均显示出不同程度的5-HT和NE重摄取抑制活性, 其中化合物4b的活性最好, 化合物4a和8a在整体动物抗抑郁药效学实验中表现出明确的抗抑郁活性.     

5-HT3受体拮抗剂药效团模型的构建

以31个来源于MDDR数据库中具有抑制鼠Bezold-Jarisch反射作用的5-HT3受体拮抗剂作为训练集化合物, 构建5-HT3受体拮抗剂药效团模型. 训练集化合物具备结构多样性, 来源于相同药理模型, 活性值ED50范围为0.05~320 μg/kg i.v.. 利用Catalyst计算5-HT3受体拮抗剂的最优药效团由一个氢键受体、一个疏水基团、一个正电离子化基团、一个芳香环特征和6个排除体积组成; Fixed cost值、Null cost 值、Δcost值和Configuration cost值分别为112.6, 172.0, 59.4和7.248. 训练集化合物活性的计算值与实测值相关系数为0.9031, 偏差值为0.8976, 基于Fischer的交叉验证结果表明药效团模型具有较高的置信度, 所得药效团对训练集化合物活性值的预测结果显示有较好的预测能力, 可用于数据库搜索指导发现新的具有该活性的先导化合物, 也可用于中药或天然产物药物研究开发.     

基于药效团模型的DHODH抑制剂构效关系研究

利用药效团模型研究二氢乳清酸脱氢酶(Dihydroorotate dehydrogenase,DHODH)抑制剂的构效关系,为DHODH抑制剂的虚拟筛选提供新的方法.以31个具有DHODH抑制活性的化合物为训练集化合物,半数抑制浓度(IC50)范围为7~63000 nmol/L,利用Catalyst/HypoGen算法构建DHODH抑制剂药效团模型,通过对训练集化合物多个构象进行叠合,提取药效团特征及三维空间限制构建药效团模型.利用基于CatScramble的交叉验证方法及评价模型对已知活性化合物的活性预测能力,确定较优药效团模型.模型包含1个氢键受体、3个疏水中心,表征了受体配体相互作用时可能发生的氢键相互作用、疏水相互作用和π-π相互作用,4个药效特征在三维空间的排列概括了DHODH抑制剂产生活性的结构特点.所得较优模型对训练集化合物及测试集化合物的计算活性值与实验活性值的相关系数分别为0.8405和0.8788.利用药效团模型对来源于微生物的系列化合物进行虚拟筛选,筛选出59个预测活性较好的化合物,可作为进一步药物研发的候选化合物.     

大麻素Ⅰ型受体拮抗剂的结构特征

以92个具有大麻素受体Ⅰ(CB1)拮抗活性的化合物为训练集, 39个化合物为测试集, 采用Discovery Studio V2.5(DS)软件中的3D构效关系药效团产生(QSAR Pharmacophore Generation)模块建立药效团模型. 获得的最佳药效团模型的构成为一个氢键受体(HBA)、 一个疏水基团(HY)和二个芳环中心(RA), 采用费用函数(Cost function)评价药效团模型, 该模型的Δcost为119.32, 相关性为0.921, 均方根偏差为0.730, Configuration cost为16.1229, 表明模型能较好地预测化合物的活性. 同时针对目前已知的近450个化合物的12种结构类型进行了探讨, 所得结果为进一步设计CB1拮抗剂提供了理论依据.     

新型酪氨酸激酶小分子抑制的三维药效团研究

通过CATALYST软件包得到了两类HER2抑制的三维药效团模型。尽管亚苄基丙二腈化合物和3-取代吲哚啉-2-酮系列化合物具有完全不同的骨架结构,但得到的药效团却具有共同的特性,这表明当这两类抑制剂和受体发生相互作用时,采用了相似的结合模式。共同的药效团模型包括一个氢键受体,一个氢键给体,一个脂肪类疏水团以及一个芳香类疏水团。根据药效团模型,我们还进行了三维构效关系的研究,结果表明得到的药效团模型具有很好的预测能力(线性回归系数R≈0.96)。药效团模型对于研究酪氨酸激酶小分子抑制剂的结构与活性关系,以及评估和预测此类未知化合物活性具人重要的意义。     

新型酪氨酸激酶小分子抑制的三维药效团研究

通过CATALYST软件包得到了两类HER2抑制的三维药效团模型。尽管亚苄基丙二腈化合物和3-取代吲哚啉-2-酮系列化合物具有完全不同的骨架结构,但得到的药效团却具有共同的特性,这表明当这两类抑制剂和受体发生相互作用时,采用了相似的结合模式。共同的药效团模型包括一个氢键受体,一个氢键给体,一个脂肪类疏水团以及一个芳香类疏水团。根据药效团模型,我们还进行了三维构效关系的研究,结果表明得到的药效团模型具有很好的预测能力(线性回归系数R≈0.96)。药效团模型对于研究酪氨酸激酶小分子抑制剂的结构与活性关系,以及评估和预测此类未知化合物活性具人重要的意义。     

基于吡咯烷与正丁烷类衍生物CCR5拮抗剂的药效团模型构建

吡咯烷与正丁烷类CCR5(化学趋化因子受体5)拮抗剂可通过抑制人类免疫缺陷病毒(HIV-1)包膜蛋白与CCR5的相互作用而阻断病毒进入细胞. 本文使用已知拮抗剂结构和活性信息构建了一个三维药效团模型. 按照Catalyst/HypoGen模块的要求, 选择了25个结构和活性均具备差异性的分子作为药效团产生的训练集. 其中训练集分子以IC50值表示的生物活性值跨度为0.06到10000 nmol·L-1. 最好的药效团模型(Hypo 1)由两个正离子化特征以及三个疏水特征组成, 训练集预测相关系数为0.924, 均方根偏差为1.068. 模型用于预测由74个分子组成的测试集化合物活性, 结果表明模型可以提供较好的活性预测结果并用于新的拮抗剂的设计.     

p53-MDM2结合抑制剂药效团模型的构建

采用Catalyst软件, 选择5类共24个p53-MDM2结合抑制剂作为训练集, 经计算机建模、构象优化, 由Catalyst系统构建出药效团模型, 并对药效团进行有效性分析, 结合已知的p53-MDM2结合抑制剂的结构信息, 筛选得到含有一个芳环中心、三个疏水中心和一个氢键受体的具有较好预测能力(Correl=0.941, Config=17.530, 吟cost=150.830)的药效团模型.     

基于药效团模型设计合成新型ALS抑制剂

以ALS抑制剂药效团模型为基础建立了提问结构,将药效团模型中的生物结构信息输入到多种小分子三维结构数据库(NCI-3D和ACD-3D数据库)中,分别搜寻出100多个符合特征结构信息的全新结构候选化合物.以这些命中结构的分子特征信息为基础设计合成了一系列新型的ALS抑制剂,初步生物活性测试结果表明,预期有生物活性的化合物显示出一定的ALS酶抑制剂活性.     

Simultaneous high-performance liquid chromatographic determination of norepinephrine, serotonin, acetylcholine and their metabolites in the cerebrospinal fluid of anaesthetized normotensive rats.

A high-performance liquid chromatographic method with electrochemical detection was developed for the simultaneous determination of the levels of norepinephrine (NE), serotonin (5-HT), acetylcholine (ACh) and their metabolites in the cerebrospinal fluid (CSF) of anaesthetized rats. The response curve for each compound was linear for the concentration way of interest. The within- and between-day coefficients of variation (C.V.) for NE, 5-HT and their metabolites were less than 7.85% and 15.67%, respectively, and those for ACh and choline were less than 3.08% and 6.27%, respectively. This simultaneous determination should be useful for elucidating the noradrenergic, serotonergic and cholinergic nerve activity in the central nervous system.     

生物胺类神经递质的电化学检测研究进展

就1993-2005年生物胺类神经递质包括多巴胺、肾上腺素、去甲肾上腺素、5-羟色胺的各种电化学检测方法的应用研究和发展方向进行了评述。引用文献58篇。     

径向电场调制毛细管电泳法用于神经递质分离

利用双向电场控制毛细管电泳系统，考察了神经递质的分离。在pH2.5的0.01mol/L磷酸盐缓冲体系中，通过加入20％（V／V）正丙醇，改善了多巴胺和5－羟色胺的分离效果，但仍不太理想。通过施加径向电场，可进一步提高分离度。本研究不仅拓宽了径向电场调控的样品分离范围，而且为生物活性物质的痕量分析提供了参考依据。     

Derivatization chemistries for determination of serotonin, norepinephrine and dopamine in brain microdialysis samples by liquid chromatography with fluorescence detection

The present paper provides an overview on currently developed derivatization chemistries and techniques for determination of monoamine neurotransmitters serotonin (5-HT), norepinephrine (NE) and dopamine (DA) in microdialysis samples by microbore liquid chromatography with fluorescence detection. In mild alkaline conditions, 5-hydroxyindoles and catecholamines react with benzylamine (BA), forming highly fluorescent 2-phenyl-4,5-pyrrolobenzoxazoles and 2-phenyl(4,5-dihydropyrrolo) [2,3-f]benzoxazoles, respectively. However, for derivatization of DA a higher fluorescence intensity was achieved for reaction with 1,2-diphenylethylenediamine (DPE) rather than with BA, therefore for simultaneous determination of 5-HT, NE and DA in brain microdialysates, a two-step derivatization with BA followed by DPE was developed. The detection limits for 5-HT, NE and DA were 0.2, 0.08 and 0.13 fmol, respectively, in an injection volume of 20 microL, which corresponds to concentrations of 30, 12 and 19.5 pm, respectively in standard solution prior to derivatization. The experimental data presented demonstrate the ability of the technique to simultaneously monitor neuronally releasable pools of monoamine neurotransmitters in the rat and mouse brains at basal conditions and following pharmacological treatments or physiological stimuli. These techniques play an important role in drug discovery and clinical investigation of psychiatric and neurological diseases such as depression, schizophrenia and Parkinson's disease.     

Recent advances in liquid chromatographic methods for the determination of selective serotonin reuptake inhibitors and serotonin norepinephrine reuptake inhibitors

Depression is now the second largest public health burden throughout the world. Selective serotonin reuptake inhibitors (SSRIs) and serotonin norepinephrine reuptake inhibitors (SNRIs) have replaced older antidepressants to become first-line medications to treat this disease with increased remission rates and markedly decreased incidence of severe adverse events. Traditional and modern bioanalytical strategies for SSRI and SNRI determination are being continuously improved. There has also been a recent increase in the use of unconventional sample preparation methods. This review critically evaluates the development of SSRI and SNRI liquid chromatographic analytical methods published between 2014 and mid-2019, with special attention to novel sample preparation methods.     

Advances in the enantioseparation of second-generation antidepressant drugs by electrodriven methods

Stereochemistry is steadily increasing in importance in the development of new drugs, and the availability of pure enantiomer drugs can make therapy safer and more efficacious. In particular, almost all second-generation antidepressant drugs possess one or more chiral centres; however, only some of them are administered as single enantiomers. A fundamental part of the quality control of pharmaceutical formulations is the determination of enantiomeric excess and enantiomeric purity; this is also important for the therapeutic drug monitoring of depressed patients. For this purpose, efficient and reliable analytical methods are needed and electrodriven techniques (most of all CE, CEC and MEKC) are very efficient and inexpensive candidates for the role. In this review, the enantioselective electrodriven methods available for the analysis of second-generation antidepressant are presented and discussed. In particular, the following pharmacological classes of antidepressants will be considered: selective serotonin reuptake inhibitors (fluoxetine, citalopram, paroxetine, sertraline); norepinephrine reuptake inhibitors (reboxetine); serotonin and norepinephrine reuptake inhibitors (venlafaxine, milnacipran, duloxetine); and noradrenergic and specific serotonergic antidepressants (mirtazapine).     

Capillary electrophoresis of monoamines and catechol with indirect chemiluminescence detection.

A capillary electrophoresis (CE)/indirect chemiluminescence (CL) detection method is described for monoamines, viz., serotonin (5-HT), dopamine (DA), epinephrine (EP), and norepinephrine (NE) and for catechol (CA). Optimal separation and detection were obtained with an electrophoretic buffer of 10 mM sodium borate (pH 9.5) containing 5 mM luminol and 25 mM H2O2, and a catalyst solution of 30 microM CuSO4 in 30 mM borate buffer (pH 10.0). Complete separation of 5-HT, DA, EP, NE and CA was achieved in less than 5 min. The Cu(II)-catalyzed luminol CL reaction was employed to provide the high and constant background. Since monoamines and catechol can form stable complexes with Cu(II), inverted analyte peaks due to decreased catalytic activity of Cu(II) can be detected. The degree of CL suppression is proportional to the analyte concentrations. Linearity (r> or =20.99) over two orders of magnitude was generally obtained. The concentration limits of detection (CLODs) for the monoamines and catechol studied were between 0.5 and 3.1 uM. The relative standard deviation (RSD) values on peak size and migration time were in the ranges 3.2-4.4% and 0.4-0.5%, respectively. The applicability of the method for the analysis of pharmaceutical and biological samples was examined.     

Is the Antidepressant Activity of Selective Serotonin Reuptake Inhibitors Mediated by Nicotinic Acetylcholine Receptors?

It is generally assumed that selective serotonin reuptake inhibitors (SSRIs) induce antidepressant activity by inhibiting serotonin (5-HT) reuptake transporters, thus elevating synaptic 5-HT levels and, finally, ameliorates depression symptoms. New evidence indicates that SSRIs may also modulate other neurotransmitter systems by inhibiting neuronal nicotinic acetylcholine receptors (nAChRs), which are recognized as important in mood regulation. There is a clear and strong association between major depression and smoking, where depressed patients smoke twice as much as the normal population. However, SSRIs are not efficient for smoking cessation therapy. In patients with major depressive disorder, there is a lower availability of functional nAChRs, although their amount is not altered, which is possibly caused by higher endogenous ACh levels, which consequently induce nAChR desensitization. Other neurotransmitter systems have also emerged as possible targets for SSRIs. Studies on dorsal raphe nucleus serotoninergic neurons support the concept that SSRI-induced nAChR inhibition decreases the glutamatergic hyperstimulation observed in stress conditions, which compensates the excessive 5-HT overflow in these neurons and, consequently, ameliorates depression symptoms. At the molecular level, SSRIs inhibit different nAChR subtypes by noncompetitive mechanisms, including ion channel blockade and induction of receptor desensitization, whereas α9α10 nAChRs, which are peripherally expressed and not directly involved in depression, are inhibited by competitive mechanisms. According to the functional and structural results, SSRIs bind within the nAChR ion channel at high-affinity sites that are spread out between serine and valine rings. In conclusion, SSRI-induced inhibition of a variety of nAChRs expressed in different neurotransmitter systems widens the complexity by which these antidepressants may act clinically.