Investigation of the mechanisms of Genkwa Flos hepatotoxicity by a cell metabolomics strategy combined with serum pharmacology in HL-7702 liver cells

1. To investigate Genkwa Flos hepatotoxicity, a cell metabolomics strategy combined with serum pharmacology was performed on human HL-7702 liver cells in this study.

2. Firstly, cell viability and biochemical indicators were determined and the cell morphology was observed to confirm the cell injury and develop a cell hepatotoxicity model. Then, with the help of cell metabolomics based on UPLC-MS, the Genkwa Flos group samples were completely separated from the blank group samples in the score plots and seven upregulated as well as two down-regulated putative biomarkers in the loading plot were identified and confirmed. Besides, two signal molecules and four enzymes involved in biosynthesis pathway of lysophosphatidylcholine and the sphingosine kinase/sphingosine-1-phosphate pathway were determined to investigate the relationship between Genkwa Flos hepatotoxicity and these two classic pathways. Finally, the metabolic pathways related to specific biomarkers and two classic metabolic pathways were analyzed to explain the possible mechanism of Genkwa Flos hepatotoxicity.

3. Based on the results, lipid peroxidation and oxidative stress, phospholipase A₂/lysophosphatidylcholine pathway, the disturbance of sphingosine-1-phosphate metabolic profile centered on sphingosine kinase/sphingosine-1-phosphate pathway and fatty acid metabolism might be critical participators in the progression of liver injury induced by Genkwa Flos.     

Quantile regression and empirical likelihood for the analysis of longitudinal data with monotone missing responses due to dropout,with applications to quality of life measurements from clinical trials

The analysis of quality of life (QoL) data can be challenging due to the skewness of responses and the presence of missing data. In this paper, we propose a new weighted quantile regression method for estimating the conditional quantiles of QoL data with responses missing at random. The proposed method makes use of the correlation information within the same subject from an auxiliary mean regression model to enhance the estimation efficiency and takes into account of missing data mechanism. The asymptotic properties of the proposed estimator have been studied and simulations are also conducted to evaluate the performance of the proposed estimator. The proposed method has also been applied to the analysis of the QoL data from a clinical trial on early breast cancer, which motivated this study.     

Association of PD-L1 gene rs4143815 C>G polymorphism and human cancer susceptibility: A systematic review and meta-analysis

Programmed death ligand 1(PD-L1) mediated immune escape play important roles in the development of cancer. The gene polymorphism of PD-L1, in particular rs4143815 C?>?G, has been associated with the cancer risks, but with conflicting results. Therefore, this meta-analysis was aimed to assess the association between rs4143815 C?>?G and cancer susceptibility. A systematic literature search was performed to select the studies and the pooled odds ratio (OR) with 95% confidence interval (CI) was used to evaluate the strength of association. Eleven eligible studies containing 3711 cases and 3704 controls were enrolled in the meta-analysis. The results suggested that there is a strong association between rs4143815 C?>?G and the cancer risks (G vs. C: OR?=?1.386, 95% CI: 1.132–1.696, p?=?0.002; GG vs. CG?+?CC: OR?=?1.843 95% CI: 1.300–2.613, p?=?0.002; GG?+?CG vs. CC: OR?=?1.280, 95% CI: 1.040–1.576, p?=?0.020). Subgroup analysis based on cancer type suggested that PD-L1 rs4143815 C?>?G might increase the susceptibility to gastric cancer (G vs. C: OR?=?1.842, 95% CI: 1.403–2.418, p?<?0.001) and bladder cancer (G vs. C: OR?=?2.015, 95% CI: 1.556–2.608, p?<?0.001), and genotype GG carriers of PD-L1 rs4143815 C?>?G might have higher risks of HCC (GG vs. CG?+?CC: OR?=?2.226 95% CI: 1.562–3.172, p?<?0.001). PD-L1 rs4143815 C?>?G might confer an increased cancer risk, indicating this SNP may contribute to the pathogenesis of cancer and might be used as a potential biomarker to predict the susceptibility to cancer.     

Evaluation of cisplatin-hydrogel for improving localized antitumor efficacy in gastric cancer

Gastric cancer, one of the most common disease, has become a major public health problem worldwide. Cisplatin (DDP) has been a widely used drug for the treatment of cancer, also usually applied in gastric cancer in clinic. However, the side effects including toxicity and drug-resistance restricted the usage of DDP in clinic, so we prepared a DDP-complexed hydrogel (DDP-Gel) and investigated its efficacy in gastric cancer. For in vivo studies, MKN45-Luc cells were injected into BLAB/C node mice subcutaneously to establish gastric cancer with orthotopically grown tumors. Mice bearing tumors were treated with normal saline, DDP and DDP-Gel. Body weight and survival condition were observed and recorded. The treatment efficacy in vivo was detected by luciferase imaging and histological evaluation was performed by H&E staining of different organs. Additionally, normal ICR mice were treated with different doses of DDP/DDP-Gel to calculate their LD₅₀ in vivo. The results showed that DDP-Gel prolonged survival time and ameliorated body weight changes of mice bearing tumors. DDP-Gel exhibited higher efficacy to inhibit tumor growth and metastasis, compared to DDP. Besides, LD₅₀ of DDP-Gel was 166.0?mg/kg, 13.2 folds higher than DDP. As a conclusion, DDP-Gel showed a more effective and safer function than DDP in gastric cancer, which indicating that DDP-Gel might be a novel strategy for gastric cancer therapy.     

以专培学员为主导的CBL教学对心血管专培学员自身综合能力提升的影响

心血管专科医师规范化培训目标要求高于住院医师培训，完成心血管专培的医生应能在医疗、教学、科研能力上明显提高，达到心血管专科主治医师水平。如何提高心血管专培学员教学能力是专培中的难点。将专培学员随机分为两组,分别采用案例教学法（case-based learning, CBL）和传统教学法进行带教,课程结束后通过测验和调查问卷两种方式对教学效果进行考察。旨在探讨由心血管专培学员主导CBL教学法在实施过程中是否对其自身综合能力有所提升。结果显示，CBL教学法组学生临床理论及病例分析考试分数均高于对照组；心血管专培学员通过主导CBL教学，在教学能力、组织能力和学科协调均有提升；相较传统教学法,CBL教学法的教学效果更佳,有利于心血管专培学员自身综合能力提升。     

基于网络药理学与分子对接技术的石菖蒲治疗癫痫作用机制研究＊

目的 利用网络药理学和分子对接技术研究石菖蒲抗癫痫的有效成分及作用机制。方法 运用中药系统药理数据库及分析平台检索石菖蒲有效成分及主要靶点，通过GeneCards数据库收集癫痫疾病的相关潜在作用靶点，运用Cytoscape.3.7.1和 String绘制石菖蒲-癫痫靶点互作关系图，运用Metascape数据库进行GO和KEGG信号通路富集分析。运用AutoDock Vina 1.1.2软件对石菖蒲主要有效成分与癫痫相关靶标进行分子对接验证；通过构建戊四唑诱导的癫痫模型初步评价石菖蒲提取物及潜在有效成分的抗癫痫作用。结果 由 TCMSP 筛选得到4个有效成分及76个主要靶点。癫痫疾病以“Score”大于1.5分进行筛选得到3685个靶标。GO富集分析得到BP条目10个，细胞CC条目9个，MF条目10个（P<0.01），主要涉及核受体活性、离子通道活性、激素结合、神经递质受体活性、蛋白激酶活性、钙调蛋白结合等。KEGG 富集得到14条通路，主要涉及c型凝集素受体信号通路、雌激素信号通路、Ca²⁺信号通路、逆行内源性大麻素信号通路等。分子对接结果显示，桉脂素、山奈酚和8-异戊烯基山奈酚与癫痫关键靶标GABRA2、PPARG等具有良好的结合活性。动物实验结果表明，石菖蒲水提取物及主要潜在有效成分桉脂素和山奈酚在PTZ致小鼠癫痫模型上显示出较好的抗癫痫活性。结论 本研究通过动物实验验证了石菖蒲提取物和潜在有效成分的抗癫痫活性，并且运用网络药理学和分子对接技术探讨了其抗癫痫作用机制，发现石菖蒲可通过多个成分如桉脂素、山奈酚、8-异戊烯基山奈酚，多靶点如GABA_A、PPARG等，多条通路如雌激素信号通路、钙信号通路对机体产生协调效应从而抑制癫痫的发作。该研究提示石菖蒲治疗癫痫具有多成分、多靶点、多通路特点，为石菖蒲的进一步研究提供数据支撑。