miR-149与肿瘤关系的研究进展

miRNAs是一类长度约为20~25个核苷酸，参与基因调控表达的内源性非编码RNA。miR-149作为miRNAs的重要成员，在多种肿瘤中表达异常，其表达水平与肿瘤细胞增殖、转移、凋亡、耐药、患者的早期诊断及预后密切相关。因此，miR-149有望成为新一类抗肿瘤治疗的靶点。     

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.     

Electrophysiological differences between upper and lower limb movements in the human subthalamic nucleus

ObjectiveFunctional processes in the brain are segregated in both the spatial and spectral domain. Motivated by findings reported at the cortical level in healthy participants we test the hypothesis in the basal ganglia of Parkinson’s disease patients that lower frequency beta band activity relates to motor circuits associated with the upper limb and higher beta frequencies with lower limb movements.MethodsWe recorded local field potentials (LFPs) from the subthalamic nucleus using segmented “directional” DBS leads, during which patients performed repetitive upper and lower limb movements. Movement-related spectral changes in the beta and gamma frequency-ranges and their spatial distributions were compared between limbs.ResultsWe found that the beta desynchronization during leg movements is characterised by a strikingly greater involvement of higher beta frequencies (24–31 Hz), regardless of whether this was contralateral or ipsilateral to the limb moved. The spatial distribution of limb-specific movement-related changes was evident at higher gamma frequencies.ConclusionLimb processing in the basal ganglia is differentially organised in the spectral and spatial domain and can be captured by directional DBS leads.SignificanceThese findings may help to refine the use of the subthalamic LFPs as a control signal for adaptive DBS and neuroprosthetic devices.     

基于多元统计分析和网络药理学的五味子醋制前后质量标志物预测分析

目的基于多元统计分析和网络药理学分析预测五味子醋制前后潜在的质量标志物。方法采用UPLC-Q/TOF-MS解析生、醋五味子饮片中主要的木脂素类成分,并运用多元统计方法筛选出炮制前后潜在的差异化学成分,即化学标记物。进一步通过网络药理学以及生物信息学分析显著差异成分相关的主要作用靶点和通路,构建"成分-靶点-通路"网络关系,预测生、醋五味子潜在的质量标志物。结果筛选了五味子醋制前后差异性成分40个,其中8个为生、醋五味子之间显著性差异成分(即化学标记物)。鉴定并确认了其中的5个化学成分,分别是5-羟甲基糠醛、五味子甲素及其同分异构体、五味子乙素和五味子酯丁。而其余3个化学标记物通过解析一级、二级质谱信息,推测它们很可能也属于木脂素类成分。网络药理学分析结果表明,鉴定并确认的5个潜在质量标志物与五味子的主要药理作用密切相关。最终五味子乙素和5-羟甲基糠醛被确定为最具代表性的潜在质量标志物。结论五味子醋制前后其化学成分发生了一系列复杂的变化,经研究分析确定五味子乙素和5-羟甲基糠醛可作为五味子醋制前后代表性的潜在质量标志物,并推测木脂素类成分可能为五味子醋制保肝的重要效应物质基础。     

Dysregulated Brain Dynamics in a Triple-Network Saliency Model of Schizophrenia and Its Relation to Psychosis

Background

Schizophrenia is a highly disabling psychiatric disorder characterized by a range of positive “psychosis” symptoms. However, the neurobiology of psychosis and associated systems-level disruptions in the brain remain poorly understood. Here, we test an aberrant saliency model of psychosis, which posits that dysregulated dynamic cross-network interactions among the salience network (SN), central executive network, and default mode network contribute to positive symptoms in patients with schizophrenia.

CYP2C19*3基因多态性对癫痫患者奥卡西平活性代谢产物MHD浓度的影响

目的：分析CYP2C19*3基因多态性与癫痫患者奥卡西平（oxcarbazepine，OXC）活性代谢产物10，11-二氢-10-羟基卡马西平（monohydroxycarbazepine，MHD）血药浓度的相关性。方法：纳入120例OXC单药治疗1个月以上且症状控制良好的癫痫患者，采集清晨服药前空腹血，采用高效液相色谱法测定MHD稳态谷浓度。通过PCR和sanger测序判定患者CYP2C19*3基因型。结果：120例癫痫患者快代谢患者64例，MHD血浆浓度为（18.17±7.34）μg·mL^-1；中代谢型患者36例，MHD血浆浓度为（19.31±9.17）μg·mL^-1；慢代谢型患者20例，MHD血浆浓度为（25.79±7.51）μg·mL^-1，3种基因型的MHD浓度有显著性差异（F=7.077，P=0.0013）。多因素分析显示，日剂量作为影响血药浓度的重要指标呈现出显著相关性（P<0.05）。结论：CYP2C19*3基因多态性影响MHD血药浓度，并且日剂量越高，MHD血药浓度越大，两者成显著正相关，临床应进行血药浓度监测。