Rational design,synthesis and biological profiling of new KDM4C inhibitors

The human histone demethylases of the KDM4 family have been related to diseases such as prostate and breast cancer. Majority of currently known inhibitors suffer from the low permeability and low selectivity between the enzyme isoforms. In this study, toxoflavin motif was used to design and synthesize new KDM4C inhibitors with improved biological activity and in vitro ADME properties. Inhibitors displayed good passive cellular permeability and metabolic stability. However, diminishing of redox liability and consequently non-specific influence on cell viability still remains a challenge.     

妇科门诊患者阴道分泌物检测及支原体感染情况和耐药性

目的分析妇科门诊患者阴道分泌物及支原体感染和耐药性情况。方法选取我院2017年7月至2018年7月于妇科门诊就诊的1 200例患者为研究对象,收集患者阴道分泌物并检测支原体感染情况及其耐药性。结果 1 200例患者中患滴虫性阴道炎者13例(1.08%),霉菌性阴道炎139例(11.58%),细菌性阴道病97例(8.08%)。阴道清洁度Ⅲ～Ⅳ度的患者滴虫性阴道炎、霉菌性阴道炎、细菌性阴道病的发生率显著高于清洁度Ⅰ～Ⅱ度的患者(均P0.05)。不同年龄段患者滴虫性阴道炎、霉菌性阴道炎和细菌性阴道病的发生率差异无统计学意义(均P0.05)。25岁的患者解脲支原体(Un)感染率最高(58.10%),35～44岁患者人型支原体(Mh)感染率最高(5.09%),25岁患者Un合并Mh感染率最高(21.91%)。支原体总敏感率较高的抗生素为美满霉素(95.86%)、强力霉素(95.15%)和交沙霉素(97.05%),敏感率较低的为甲砜霉素(19.15%),克林霉素(14.66%)和司帕沙星(27.77%)。结论阴道清洁度与阴道炎的发生具有相关性。患者阴道分泌物中支原体的检测及药敏试验可为临床治疗提供参考依据。     

急性脑梗死并发肺部感染患者预后及危险因素分析

目的分析急性脑梗死并发肺部感染患者病原菌分布、病原菌耐药性、患者用药特征及其危险因素。方法选取2015年3月至2017年3月在我院急诊科进行住院治疗,且年龄60岁的急性脑梗死并发肺部感染患者60例为研究对象,对患者的一般资料及病原菌分布情况、耐药情况和患者用药情况进行分析。结果 60例患者中有30例出现肺部感染,感染率为50.00%。肺部感染患者中死亡4例。肺部感染患者痰液中共培养出28株病原菌,其中革兰阴性菌21株,革兰阳性菌5株,真菌2株。30例肺部感染患者共使用6种抗感染药物,其中哌拉西林/舒巴坦的使用频率最高,其次为依替米星及美罗培南。Logistic回归分析显示,病原菌分布、耐药情况和患者用药情况与患者的预后存在相关性。结论急性脑梗死并发肺部感染患者的病原菌分布、耐药情况及患者用药情况与患者的预后密切相关,应针对上述因素给予患者合理的治疗。     

Focus: Zoonotic Disease: New Series of Imidazoles Showed Promising Growth Inhibitory and Curative Potential Against Trypanosoma Infection

The Trypanosoma spp. cause animal and human trypanosomiasis characterized with appreciable health and economic burden mostly in developing nations. There is currently no effective therapy for this parasitic disease, due to poor drug efficacy, drug resistance, and unwanted toxicity, etc. Therefore, new anti-Trypanosoma agents are urgently needed. This study explored new series of imidazoles for anti-Trypanosoma properties in vitro and in vivo. The imidazoles showed moderate to strong and specific action against growth of T. congolense. For example, the efficacy of the imidazole compounds to restrict Trypanosoma growth in vitro was ≥ 12-fold specific towards T. congolense relative to the mammalian cells. Additionally, the in vivo study revealed that the imidazoles exhibited promising anti-Trypanosoma efficacy corroborating the in vitro anti-parasite capacity. In particular, three imidazole compounds (C1, C6, and C8) not only cleared the systemic parasite burden but cured infected rats after no death was recorded. On the other hand, the remaining five imidazole compounds (C2, C3, C4, C5, and C7) drastically reduced the systemic parasite load while extending survival time of the infected rats by 14 days as compared with control. Untreated control died 3 days post-infection, while the rats treated with diminazene aceturate were cured comparable to the results obtained for C1, C6, and C8. In conclusion, this is the first study demonstrating the potential of these new series of imidazoles to clear the systemic parasite burden in infected rats. Furthermore, a high selectivity index of imidazoles towards T. congolense in vitro and the oral LD₅₀ in rats support anti-parasite specific action. Together, findings support the anti-parasitic prospects of the new series of imidazole derivatives.     

Structural Pharmacology of Voltage-Gated Sodium Channels

Voltage-gated sodium (Na_V) channels initiate and propagate action potentials in excitable tissues to mediate key physiological processes including heart contraction and nervous system function. Accordingly, Na_V channels are major targets for drugs, toxins and disease-causing mutations. Recent breakthroughs in cryo-electron microscopy have led to the visualization of human Na_V1.1, Na_V1.2, Na_V1.4, Na_V1.5 and Na_V1.7 channel subtypes at high-resolution. These landmark studies have greatly advanced our structural understanding of channel architecture, ion selectivity, voltage-sensing, electromechanical coupling, fast inactivation, and the molecular basis underlying Na_V channelopathies. Na_V channel structures have also been increasingly determined in complex with toxin and small molecule modulators that target either the pore module or voltage sensor domains. These structural studies have provided new insights into the mechanisms of pharmacological action and opportunities for subtype-selective Na_V channel drug design. This review will highlight the structural pharmacology of human Na_V channels as well as the potential use of engineered and chimeric channels in future drug discovery efforts.     

呼吸道感染患者多重耐药菌肺炎克雷伯菌的耐药及危险因素分析

摘要 目的：探讨与分析呼吸道感染患者多重耐药菌肺炎克雷伯菌的耐药及危险因素。方法：选择2015年1月到2020年2月本院诊治的呼吸道感染患者65例作为研究对象,收集患者的临床样本进行细菌分离与耐药分析,调查患者的临床资料并进行危险因素分析。结果：在呼吸道感染患者65例中,分离出多重耐药菌肺炎克雷伯菌32株,占比49.2 %,其中下呼吸道、上呼吸道、灌洗液、血液标本分别占50.0 %、9.4 %、25.0 %、6.3 %。32株多重耐药菌肺炎克雷伯菌对头孢曲松、头孢呋辛、氨苄西林、头孢吡肟、头孢噻肟的耐药率分别为71.9 %、87.5 %、96.9 %、84.4 %、81.3 %,对阿米卡星、头孢替坦、左氧氟沙星、亚胺培南、环丙沙星的敏感率分别为59.4 %、68.8 %、81.3 %、75.0 %、81.3 %。非条件 Logistic回归分析显示血型A型、碳青霉烯类抗菌药物使用、引流、机械通气、糖尿病等为导致多重耐药菌肺炎克雷伯菌感染的独立危险因素(P<0.05)。结论：多重耐药菌肺炎克雷伯菌感染在呼吸道感染患者中比较常见,对头孢呋辛、氨苄西林的耐药率比较高,对左氧氟沙星、环丙沙星的敏感率比较高,血型A型、碳青霉烯类抗菌药物使用、引流、机械通气、糖尿病等为导致多重耐药菌肺炎克雷伯菌感染的独立危险因素。     

Large-scale pharmacogenomic studies and drug response prediction for personalized cancer medicine

The response rate of most anti-cancer drugs is limited because of the high heterogeneity of cancer and the complex mechanism of drug action. Personalized treatment that stratifies patients into subgroups using molecular biomarkers is promising to improve clinical benefit. With the accumulation of preclinical models and advances in computational approaches of drug response prediction, pharmacogenomics has made great success over the last 20 years and is increasingly used in the clinical practice of personalized cancer medicine. In this article, we first summarize FDA-approved pharmacogenomic biomarkers and large-scale pharmacogenomic studies of preclinical cancer models such as patient-derived cell lines, organoids, and xenografts. Furthermore, we comprehensively review the recent developments of computational methods in drug response prediction, covering network, machine learning, and deep learning technologies and strategies to evaluate immunotherapy response. In the end, we discuss challenges and propose possible solutions for further improvement.     

基于深度学习与多层次信息融合的药物靶标亲和力预测*

药物研发是非常重要但也十分耗费人力物力的过程。利用计算机辅助预测药物与蛋白质亲和力的方法可以极大地加快药物研发过程。药物靶标亲和力预测的关键在于对药物和蛋白质进行准确详细地信息表征。提出一种基于深度学习与多层次信息融合的药物靶标亲和力的预测模型,试图通过综合药物与蛋白质的多层次信息,来获得更好的预测表现。首先将药物表述成分子图和扩展连接指纹两种形式,分别利用图卷积神经网络模块和全连接层进行学习;其次将蛋白质序列和蛋白质K-mer特征分别输入卷积神经网络模块和全连接层来学习蛋白质潜在特征;随后将4个通道学习到的特征进行融合,再利用全连接层进行预测。在两个基准药物靶标亲和力数据集上验证了所提方法的有效性,并与其他已有模型作对比研究。结果说明提出的模型相比基准模型能得到更好的预测性能,表明提出的综合药物与蛋白质多层次信息的药物靶标亲和力预测策略是有效的。