不同年龄阿尔茨海默病患者脑核团ADC值与年龄的相关性

目的 探讨不同年龄阿尔茨海默病（AD）患者ADC值与年龄的相关性。方法 选取30例AD患者（AD组）和年龄与之相匹配的30名志愿者（对照组），按年龄段各分为6个亚组[55~59岁（n=3）、60~64岁（n=4）、65~70岁（n=9）、71~74岁（n=5）、75~80岁（n=6）、>80岁（n=3）]，测量双侧海马、红核、尾状核、杏仁体、壳核ADC值，并进行配对t检验、独立样本t检验、单因素方差分析及Pearson相关分析。结果 AD组红核左、右侧ADC值有统计学差异（P=0.022）。AD组不同年龄亚组右侧海马、双侧尾状核、右侧壳核ADC值差异有统计学意义（P均<0.05）；2组不同年龄亚组双侧海马、壳核、尾状核ADC值差异有统计学意义（P均<0.05）。AD组右侧海马（r=0.615，P<0.001）、右侧壳核（r=0.653，P=0.001）及双侧尾状核（左侧：r=0.397，P=0.030；右侧：r=0.429，P=0.020）ADC值与年龄呈正相关。结论 AD患者右侧海马和壳核、双侧尾状核ADC值随年龄增加而增大。ADC值可为临床预测和早期诊断AD脑内右侧海马和壳核、双侧尾状核神经退行性病变提供参考。     

Estimation of phase signal change in neuronal current MRI for evoke response of tactile detection with realistic somatosensory laminar network model

Magnetic field generated by neuronal activity could alter magnetic resonance imaging (MRI) signals but detection of such signal is under debate. Previous researches proposed that magnitude signal change is below current detectable level, but phase signal change (PSC) may be measurable with current MRI systems. Optimal imaging parameters like echo time, voxel size and external field direction, could increase the probability of detection of this small signal change. We simulate a voxel of cortical column to determine effect of such parameters on PSC signal. We extended a laminar network model for somatosensory cortex to find neuronal current in each segment of pyramidal neurons (PN). 60,000 PNs of simulated network were positioned randomly in a voxel. Biot–savart law applied to calculate neuronal magnetic field and additional phase. The procedure repeated for eleven neuronal arrangements in the voxel. PSC signal variation with the echo time and voxel size was assessed. The simulated results show that PSC signal increases with echo time, especially 100/80 ms after stimulus for gradient echo/spin echo sequence. It can be up to 0.1 mrad for echo time = 175 ms and voxel size = 1.48 × 1.48 × 2.18 mm³. With echo time less than 25 ms after stimulus, it was just acquired effects of physiological noise on PSC signal. The absolute value of the signal increased with decrease of voxel size, but its components had complex variation. External field orthogonal to local surface of cortex maximizes the signal. Expected PSC signal for tactile detection in the somatosensory cortex increase with echo time and have no oscillation.     

镇江市护士分层培训及分层进阶现况分析

目的调查镇江市各医院护士分层培训及分层进阶的方法及现状。方法2018年4—5月间采用自行设计的调查问卷,对全市医院的护理人员进行随机抽样调查。结果调查显示镇江市96.45%的护士受医院分层培训及分层进阶这一模式的管理。其中N1占16.77%,N2占29.5%,N3占41.9%,N4占8.7%,其他占3.11%。有24.53%的护士对医院目前的分层培训方式感到满意并认为无需改进,40.99%的护士表示满意,但需要改进,29.19%的护士表示基本满意,需要改进,5.28%的护士表示不满意需要较大改进。95.82%的医院科室对不用层级的护士有不同的核心能力要求并根据不同核心能力要求进行培训。结论护士分层培训几分层进阶这一管理模式在镇江各医院都有体现,但各医院实行的方式有较大差异,配套的管理方式也有待完善。     

淫羊藿、巴戟天中药提取物对恒河猴M0、M1型单核衍生巨噬细胞基因表达的影响

【目的】探讨中药淫羊藿、巴戟天提取物(中药注射液喘可治的组成)对恒河猴单核衍生的巨噬细胞在未极化(M0)、M1极化条件下基因表达的影响,分析其可能的免疫调节的作用机制。【方法】采用密度梯度离心法分离中国恒河猴外周血单个核细胞(PBMCs),采用贴壁法纯化出单核细胞,并以粒细胞巨噬细胞集落刺激因子(GM-CSF)刺激5 d以使单核细胞分化成巨噬细胞;然后不加入极化因子(M0)或以干扰素γ(IFN-γ,继续培养2 d)诱导巨噬细胞极化为M1表型,同时分别加入淫羊藿、巴戟天提取物进行干预;然后提取m RNA并逆转录后,采用实时荧光定量PCR检测CCR5、CD4、CTLA-4、Fox P3、IDO、IL-10、TGF-β等基因表达量。【结果】与空白对照组比较,加入巴戟天提取物培养的M0巨噬细胞基因表达上调不明显;经淫羊藿提取物培养的M0巨噬细胞,CCR5基因表达量上调4.21倍,TGF-β上调7.66倍,Fox P3、IL-10轻度上调,而CD4、CTLA-4、IDO等基因表达改变倍数无明显变化。经巴戟天提取物刺激的M1型巨噬细胞,CTLA-4基因表达量上调3.22倍,Fox P3上调3.69倍,CCR5、CD4、IL-10、IDO基因改变倍数均无明显变化,TGF-β未测出;而由淫羊藿提取物刺激的M1型巨噬细胞,IL-10的表达量上调11.83倍,Fox P3上调4.55倍,IDO、CCR5、CD4、CTLA-4基因改变倍数无明显变化,TGF-β未测出。【结论】巴戟天和淫羊藿提取物培养能够上调M1型巨噬细胞IL-10、Fox P3、CTLA-4等抑炎基因表达,淫羊藿提取物能够上调M0巨噬细胞CCR5和TGF-β等基因表达,促进病原体清除和组织修复,从而发挥多效免疫调节作用。     

Binding mode of conformations and structure-based pharmacophore development for farnesyltransferase inhibitors

Farnesyltransferase (FTase) is one of the prenyltransferase family enzymes that catalyse the transfer of 15-membered isoprenoid (farnesyl) moiety to the cysteine of CAAX motif-containing proteins including Rho and Ras family of G proteins. Inhibitors of FTase act as drugs for cancer, malaria, progeria and other diseases. In the present investigation, we have developed two structure-based pharmacophore models from protein–ligand complex (3E33 and 3E37) obtained from the protein data bank. Molecular dynamics (MD) simulations were performed on the complexes, and different conformers of the same complex were generated. These conformers were undergone protein–ligand interaction fingerprint (PLIF) analysis, and the fingerprint bits have been used for structure-based pharmacophore model development. The PLIF results showed that Lys164, Tyr166, TrpB106 and TyrB361 are the major interacting residues in both the complexes. The RMSD and RMSF analyses on the MD-simulated systems showed that the absence of FPP in the complex 3E37 has significant effect in the conformational changes of the ligands. During this conformational change, some interactions between the protein and the ligands are lost, but regained after some simulations (after 2 ns). The structure-based pharmacophore models showed that the hydrophobic and acceptor contours are predominantly present in the models. The pharmacophore models were validated using reference compounds, which significantly identified as HITs with smaller RMSD values. The developed structure-based pharmacophore models are significant, and the methodology used in this study is novel from the existing methods (the original X-ray crystallographic coordination of the ligands is used for the model building). In our study, along with the original coordination of the ligand, different conformers of the same complex (protein–ligand) are used. It concluded that the developed methodology is significant for the virtual screening of novel molecules on different targets.