胰腺囊性肿瘤恶性风险预测模型研究

目的 明确与恶性胰腺囊性肿瘤（PCN）相关的术前危险因素，建立准确的预测模型，并予以验证。方法 纳入2013年1月至2020年5月复旦大学附属华东医院经术后病理检查证实的114例PCN病例，分为模型组（n=80）和验证组（n=34）。回顾性分析模型组术前的临床资料并探索与恶性PCN相关的影响因素，建立PCN恶性风险预测模型，绘制受试者工作特征（ROC）曲线和校正曲线评价模型，最后基于验证组数据对模型进行临床验证。结果 单因素回归分析提示临床症状、CA19-9水平升高、中性粒细胞淋巴细胞比值（NLR）、淋巴细胞单核细胞比值（LMR）、肿瘤最大直径、胰管扩张和实性成分与恶性PCN显著相关，进一步行多因素回归分析确定了NLR≥2.146、CA19-9水平升高、胰管扩张是恶性PCN的独立预测因素。基于多因素回归分析结果建立恶性PCN预测模型，绘制模型的ROC曲线，计算AUC为0.921（95%CI 0.863~0.979），Youden指数最大时取得最佳临界预测值为0.203，此时相对应的特异度为83.3%，敏感度为92.9%，准确率为85%。同时校正曲线显示模型具有较好的拟合度，最后代入验证组数据显示模型预测准确率为82.4%，特异度81.2%，敏感度100%。结论 CA19-9水平升高、NLR升高以及胰管扩张是恶性PCN的高危因素，基于此建立的恶性胰腺囊性肿瘤的预测模型具有较好的准确率，可为今后的临床诊疗提供辅助参考。     

基于药动学与药效学相关联的养阴通脑颗粒主要有效部位正交配伍研究

目的探讨养阴通脑颗粒主要有效部位(总生物碱、总黄酮、总皂苷、总酚酸)配伍后在脑缺血再灌注模型大鼠体内药物浓度及其药动学与药效学变化。方法采用正交试验法组成上述主要有效部位用量配比不同的9个组方,供脑缺血再灌注模型大鼠ig给药,高效液相色谱-二极管阵列检测器(HPLC-DAD)测定不同时间点血浆中的葛根素、阿魏酸和川芎嗪血浆药物浓度。DAS 3.2.6软件以非房室模型拟合药动学参数,并运用总量统计矩法和综合评分法对整体药动学特征进行评价。同时采用酶联免疫吸附测定(ELISA)法测定大鼠血浆中超氧化物歧化酶(SOD)和过氧化氢酶(CAT)的含量。最后进行药动学-药效学(PK-PD)模型研究,获得各药物浓度与药效之间的定量方程。结果葛根素、阿魏酸和川芎嗪在模型大鼠体内的药动学特征有所差异。总量统计矩和综合评分研究表明不同配伍对总量零阶矩、总量平均滞留时间、综合评分等参数影响不一。主要有效部位正交配伍给药后,一定程度上会抑制脑缺血再灌注大鼠血浆中SOD和CAT的降低。各PK-PD模型均采用Sigmoid-Emax模型,拟合结果与实测数据之间相关性良好,R值均大于0.85。结论养阴通脑颗粒主要有效部位配伍对模型大鼠体内的药动学行为和抗氧化指标具有一定影响;中药复方多成分药物代谢动力学可采用总量统计矩和综合评分法进行研究;PK-PD结合模型可用于中药复方多成分药动学与药效学之间相关性的评价与预测。     

不同地理居群新塔花的ITS2和psbA-trnH序列及聚类分析

目的:分析18个不同地理居群新塔花的内转录间隔区(ITS)2和psbA-trnH序列,为其种质资源评价和基原药用植物遗传多样性分析提供参考。方法:试剂盒法提取新塔花基因组DNA,聚合酶链式反应(PCR)扩增ITS2和psbA-trnH间隔区序列,双向测序,拼接,基于Kimura两参数模型(K2P)构建邻接法(NJ)系统发育树。结果:不同地理居群新塔花ITS2和psbA-trnH序列均有种内差异。ITS2序列长度平均为236 bp,检测有9个单倍型,遗传距离为0～0. 022,不同地理居群新塔花聚为两支,XTH3,XTH6,XTH9等10个地理居群聚为一支,XTH4,XTH5,XTH10等8个地理居群聚为另一支。除XTH6的psbAtrnH序列存在6 bp缺失外,其他地理居群的psbA-trnH序列长度均为355 bp,检测有4个单倍型,遗传距离为0～0. 023,不同地理居群新塔花聚为两支,XTH1,XTH3,XTH4等12个地理居群聚为一支,XTH14,XTH17,XTH18聚为另一支。基于ITS2+psbA-trnH组合序列的系统发育(NJ)树显示,不同地理居群的新塔花可分为两支,XTH11,XTH12,XTH16等12个地理居群聚为一支,XTH14,XTH17,XTH18聚为另一支。结论:不同地理居群的新塔花地理位置接近或相似,相对遗传距离较小,亲缘关系较为接近,说明不同地理居群新塔花的亲缘关系及其遗传多样性与地理位置相关。     

Germline variant burden in multidrug resistance transporters is a therapy-specific predictor of survival in breast cancer patients

Multidrug resistance due to facilitated drug efflux mediated by ATP-binding cassette (ABC) transporters is a main cause for failure of cancer therapy. Genetic polymorphisms in ABC genes affect the disposition of chemotherapeutics and constitute important biomarkers for therapeutic response and toxicity. Here we correlated germline variability in ABC transporters with disease-specific survival (DSS) in 960 breast cancer (BRCA), 314 clear cell renal cell carcinoma and 325 hepatocellular carcinoma patients. We find that variant burden in ABCC1 is a strong predictor of DSS in BRCA patients, whereas candidate polymorphisms are not associated with DSS. This association is highly drug-specific for subgroups treated with the MRP1 substrates cyclophosphamide (log-rank p = 0.0011) and doxorubicin (log-rank p = 0.0088) independent of age and tumor stage, whereas no association was found in individuals treated with tamoxifen (log-rank p = 0.13). Structural mapping of significant variants revealed multiple variants at residues involved in protein stability, cofactor stabilization or substrate binding. Our results demonstrate that BRCA patients with high variant burden in ABCC1 are less prone to respond appropriately to pharmacological therapy with MRP1 substrates, thus incentivizing the consideration of genomic germline data for precision cancer medicine.     

翻转课堂教学法在天然药物化学实验中的应用

目的利用翻转课堂教学法改进传统的天然药物化学实验课教学模式,提高该课程的教学效果。方法从实验教学的课程设计与开发,课前自主学习、课中内化及课后评估和讨论等环节进行了一系列的探讨与改革。结果翻转课堂教学模式为解决学生长期以来在天然药物化学实验课中缺乏主动参与性、探索性等问题提供一剂良方。结论在天然药物化学实验课教学中引入翻转课堂教学模式的初步探索为天然药物化学实验课的改革提供了依据和思路。     

基于Andersen行为模型的消化道肿瘤患者支持性照顾需求现状及影响因素分析

目的调查消化道肿瘤患者的支持性照顾需求现状并分析其影响因素。方法于2019年1—10月间,采用便利抽样的方法,抽取重庆市三峡中心医院内消化道肿瘤患者共370例,采用一般资料调查表、癌症病人支持性照顾需求简明问卷(SCNS-SF34)、医院焦虑和抑郁量表(HADS)、社会网络支持量表(LSNS)进行问卷调查。以Andersen行为模型为基础,将调查内容中关于消化道肿瘤患者支持性照顾需求的影响因素分别纳入倾向性因素、使能因素和需求性因素中,构建4个线性回归模型进行分析,并检验各模型的拟合优度,采用多元线性回归分析消化道肿瘤患者支持性照顾需求的影响因素。结果共发放问卷370份,回收有效问卷365份,有效回收率为98.6%。365例消化道肿瘤患者支持性照顾需求总均分为(3.42±0.54)分,其中生理与日常生活需求>健康信息需求>照顾与支持需求>心理需求>性需求。多元线性回归分析结果显示:倾向性因素中年龄、婚姻状况,使能因素中的家庭平均月收入、疾病负担能力、社会网络支持,需求性因素中的病程、疾病分期、疼痛情况、焦虑程度、抑郁程度是消化道肿瘤患者支持性照顾需求的主要影响因素(P<0.05)。结论消化道肿瘤患者有较高的支持性照顾需求,其需求受多种因素的影响,建议临床医护人员针对不同需求患者进行针对性满足,并对不同影响因素进行综合考量并加以分类分析。     

2-Dodecyl-6-methoxycyclohexa-2,5-diene-1,4-dione,isolated from the root of Averrhoa carambola L., protects against diabetic kidney disease by inhibiting TLR4/TGFβ signaling pathway

ObjectiveDiabetic kidney disease (DKD) is the leading cause of death and disability of diabetes mellitus. However, there is still a lack of specific drugs for the treatment of DKD. The chief aim of this research is to investigate the role and mechanism of 2-Dodecyl-6-methoxycyclohexa-2,5-diene-1,4-dione (DMDD) for DKD.MethodsWild type and TLR4 knockout mice were induced to diabetes. After 4-week treatment with DMDD, blood sugar, renal function, blood lipid and pathological changes were assessed. Real-time PCR, western blotting, and immunohistochemistry were employed to detect the expressions of TLR4, TGFβ1 and Smad2/3 in the renal tissue.ResultsDMDD improved the serum lipid and decreased fasting blood glucose levels in diabetic mice. CysC and urinary albumin levels increased markedly in the diabetic group, and they were obviously decreased after 4 weeks of DMDD treatment. Compared with the WT diabetic mice, the urinary albumin and CysC in the TLR4^-/- mice were expressed at lower levels. HE and Masson’s staining revealed that DMDD clearly ameliorated pathological changes and renal fibrosis. When TLR4 gene was knock out, the pathological was improved. Mechanistically, TLR4, TGF-β1 and Smad2/3 were obvious up-regulation in the renal tissues of diabetic mice. The expressions of these proteins were significantly down-regulated after DMDD treatment (p < 0.05). In the TLR4^-/- mice, mRNA and protein levels of TGF-β1 and Smad2/3 were obviously lower than those in the WT mice. In addition, IHC revealed that a strong in situ expressions of TLR4, TGF-β1 and Smad2/3 were seen in the kidney tissues of diabetic mice, which were distinctly weakened in the DMDD-treated mice. In the TLR4^-/- mice, however, expressions of TGF-β1 and Smad2/3 were not remarkable increase in the diabetic mice compared with normal mice.ConclusionsThese results strongly indicate that TLR4 is essential for DMDD protection against renal dysfunction in diabetic mice. Its hypoglycemic and anti-fibrosis effects were likely mediated by the TLR4/TGFβ signaling pathway.     

Iron intake,oxidative stress-related genes and breast cancer risk

Iron has been suggested to contribute to breast cancer development through oxidative stress generation. Our study investigated associations between iron intake and breast cancer risk, overall and by menopausal and estrogen receptor/progesterone receptor (ER/PR) status, and modification by oxidative stress-related genetic polymorphisms (MnSOD, GSTM1 and GSTT1). A population-based case–control study (3,030 cases and 3,402 controls) was conducted in Ontario, Canada. Iron intake (total, dietary, supplemental, heme, nonheme) was assessed using a validated food frequency questionnaire. Odds ratios (OR) and 95% confidence intervals (CI) were estimated from multivariable logistic regression models. Interactions between iron intake and genotypes were assessed among 1,696 cases and 1,761 controls providing DNA. Overall, no associations were observed between iron intake and breast cancer risk. Among premenopausal women, total, dietary and dietary nonheme iron were positively associated with ER–/PR– breast cancer risk (all p_trend < 0.05). Among postmenopausal women, supplemental iron was associated with reduced breast cancer risk (OR_{>18 vs. 0 mg/day} = 0.68, 95% CI: 0.51–0.91), and dietary heme iron was associated with an increased risk, particularly the ER–/PR– subtype (OR_{highest vs. lowest quintile} = 1.69, 95% CI: 1.16–2.47; p_trend = 0.02). Furthermore, GSTT1 and combined GSTM1/GSTT1 polymorphisms modified some of the associations. For example, higher dietary iron was most strongly associated with increased breast cancer risk among women with GSTT1 deletion or GSTM1/GSTT1 double deletions (p_interaction < 0.05). Findings suggest that iron intake may have different effects on breast cancer risk according to menopausal and hormone receptor status, as well as genotypes affecting antioxidant capacity.     

Comprehensive analysis of the relationship between competitive endogenous RNA (ceRNA) networks and tumor infiltrating-cells in hepatocellular carcinoma

BackgroundThe innovation of immune checkpoint blockade (ICB) represents a promising shift in the treatment of advanced hepatocellular carcinoma (HCC). However, response to ICB has varied largely due to the high tumor heterogeneity and complex tumor microenvironment (TME). The competitive endogenous RNA (ceRNA) network also plays an important role in tumor occurrence and progression, but its relation with tumor-infiltrating immune cells (TICs) remains largely unexplored in HCC. The overriding objective of our study was thus to construct a prognosis-related risk model and to further evaluate the relationship between ceRNA networks and TICs.MethodsDifferentially expressed gene (DEG) analysis was performed to identify the differentially expressed RNAs. Lasso and multivariable Cox regression analyses were used to construct risk models, which were assessed by the area under the receiver operating characteristic curve (AUC of ROC) and Kaplan-Meier (K-M) curves. Then, a single-sample gene set enrichment analysis (ssGSEA) algorithm was adopted to dissect the TICs in HCC samples. Nomograms were constructed and calibration curves were used to verify the discrimination and accuracy of the nomograms. Finally, integration analysis was performed to validate the correlation of ceRNA and TICs.ResultsIn the study, 7 differentially expressed RNAs [5 messenger RNA s (mRNAs) and 2 micro RNAs (miRNAs)] were incorporated to construct a ceRNA risk model. The AUC of the 1-, 3-, and 5-year overall survival (OS) were 0.784, 0.685, and 0.691 respectively. Likewise, 7 types TICs were in the TICs signature model and the AUC of the 1-, 3-, and 5-year OS were 0.706, 0.731, and 0.721 respectively. The integration analysis showed that 7 pairs of mRNA-TICs and 1 pair of miRNA-TICs had a close relation (all correlation coefficients >0.2, P<0.001).ConclusionsThrough constructing two risk models based on ceRNA network and TICs, we identified the hub RNAs and key TICs in the progression and prognosis of HCC, and further explored the relationship between ceRNA and TME. Importantly, targeting these hub RNAs may facilitate the remodeling of the TME and be a potential therapeutic alternative to enhancing the response to ICB, thus improving the prognosis of HCC patients.