吸附澄清法在中药水提液澄清中的应用研究

采用吸附澄清法使中药水提液澄清,从工艺稳定性,成分分析,药效学实验及效益分析四方面分析了两种工艺,吸附澄清法同水提醇沉法相比,能更有效地保留中药总固体物含量及有效成分,提高制剂成品的内在质量;成品稳定性好;成本低;生产周期短;劳动强度低,可望产生良好的社会经济效益。     

决明子对营养性肥胖大鼠的影响

目的:观察大鼠自由饮用决明子水煎剂对营养性肥胖的影响,并初步探讨其作用机制.方法:用高营养饲料制备肥胖大鼠模型,让大鼠在生理状态下自由饮用不同浓度的决明子水煎剂,观察其对大鼠体质量和糖、脂代谢及抗脂质过氧化作用等的影响.结果:60g/L浓度的决明子水煎剂可明显降低营养性肥胖大鼠的体质量[(336.0±22.1)g→(299.5±20.3)g,P＜0.01],Lee's指数[(358.6±8.6)→(341.8±7.3),P＜0.05]、空腹血清甘油三酯[(1.4±1.3)→(0.8±0.4)mmol/L,P＜0.05]、胰岛素[(35.6±13.4)→(22.8±9.5)mU/L,P＜0.01]和丙二醛[(4.6±0.7)→(2.9±0.3)nmol/L,P＜0.01]含量,游离脂肪酸(339±88)μmol/L→(283±64)μmol/L含量也有下降趋势,总抗氧化能力(10.7±1.4)kU/L→(11.7±1.0)kU/L水平有升高趋势.结论:决明子水煎剂能明显抑制营养性肥胖大鼠体质量的增加,可能改善或纠正胰岛素抵抗,增强抗脂质过氧化作用,其作用机制可能与其调节葡萄糖及脂肪代谢等有关.     

Plasma kinetics of 125I-labelled amyloid P component in {beta}2M amyloidosis: A possible approach to quantitate disease activity

Dialysis amyloidosis is one of the most incapacitating complicationsof long-term dialysis treatment. Quantitative assessment ofamyloid deposition using radiolabelled tracers has been recentlyproposed but convincing evidence of its validity in uraemicpatients remains to be provided. We studied the plasma kineticsof i.v. administered ¹²⁵I-labelled serum amyloid P component(¹²⁵I-SAP) in 20 chronic haemodialysis patients compared withthose of nine healthy volunteers and three non-dialysed patientswith systemic amyloidosis. Plasma clearance of the tracer wasabnormal in 17 of 20 dialysis patients in whom plasma radioactivitydeclined in a bi-exponential mode, in contrast to the single-exponentialslope observed in all healthy controls. ¹²⁵I-SAP plasma half-lifeof the second component, probably reflecting metabolic clearance,was significantly prolonged in these dialysis patients comparedwith the healthy controls (35.3 versus 24.6 h, P<0.001).Among the long-term haemodialysis patients the calculated extravasculardistribution of ¹²⁵I-SAP was significantly greater in thosewith severe arthropathy than in asymptomatic patients. Thesefindings demonstrate for the first time that SAP clearance isdisturbed in haemodialysis patients due to both failing renalelimination and retention in extravascular sites. The extravasculardiffusion is greatly enhanced in patients with clinical evidenceof amyloidosis. Therefore the study of plasma ¹²⁵I-SAP kineticspromises to be a valuable tool to quantitate the extent of amyloidosis.     

基于支持向量机的脊柱离体组织电阻抗识别

目的 测量不同脊柱组织的电阻抗,基于支持向量机建立电阻抗数据的组织分类算法并验证算法的准确性,寻找不同组织电阻抗分类阈值。 方法 取离体脊柱组织,应用电化学分析仪采集10~100 kHz频率范围内皮质骨、松质骨、脊髓、肌肉、髓核的电阻抗。将两只猪采集的数据集分别作为训练集和测试集,应用主成分分析降维至二维数据,训练和验证基于支持向量机(SVM)建立的分类算法,应用集成学习的方法计算不同组织分类的电阻抗阈值。 结果 5种组织在10~100 kHz的测量频率内,电阻抗值差异有统计学意义(P<0.001)。应用主成分分析降维的数据集建立的支持向量机分类算法识别不同组织的准确率为100%。应用集成学习建立的多个分类器计算出了不同组织的电阻抗分类阈值。 结论 基于支持向量机可以实现脊柱术区组织电阻抗的准确识别,有望应用于临床协助医生提升组织识别准确率。     

CPP-SOM整合cDNA基因芯片平台的建立

目的　在转录组水平全面迅速地了解疾病发生和药物作用的分子机理 ,以及寻找潜在的治疗靶标。方法　通过建立基因芯片平台 ,用全反式维甲酸诱导急性早幼粒细胞白血病来源的 NB4细胞分化作为模型 ,并应用自主开发的自组织图结合成分平面展示 (componentplane presentation integrated self-organizing map,CPP- SOM)的方法对数据进行初步分析。结果　建立的 c DNA芯片共有 12 6 30条克隆 ,其中已知基因 94 36条。应用该芯片进行实验 ,结果重复性好、准确性高。CPP- SOM不仅可以将功能相关的基因进行聚类 ,而且可以动态性地从全基因组水平观察药物作用过程中基因的表达变化。结论　我们建立的芯片平台是稳定、可靠的技术平台 ,CPP- SOM是一种新型有效的芯片数据的处理方法。     

Predicting development of sustained unresponsiveness to milk oral immunotherapy using epitope-specific antibody binding profiles

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一种用ICA去除瞬态诱发耳声发射伪迹的新方法

如何去除伪迹是瞬态诱发耳声发射检测中一个关键的问题。本研究提出了一种用ICA去除伪迹的新方法。首先用四组线性增长的刺激声在耳道内录音 ,得到的波形是瞬态诱发耳声发射和伪迹的混叠。因为伪迹和瞬态诱发耳声发射是统计独立的 ,而且伪迹随刺激声的变化线性增长 ,而瞬态诱发耳声发射随刺激声的变化非线性增长 ,逐渐趋于饱和 ,所以它们在混叠信号中具有不同的混叠系数。用ICA算法可以将各独立分量及混叠矩阵估计出来 ,伪迹是其中的一个独立分量。然后将伪迹的波形置零后再进行一次混叠 ,便达到了去除伪迹的目的。最后通过与传统的DNLR方法比较 ,证明这种方法是有效的     

Ras homolog gene family H (RhoH) deficiency induces psoriasis-like chronic dermatitis by promoting TH17 cell polarization

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Muscle synergies during shifts of the center of pressure by standing persons

Movements by a standing person are commonly associated with adjustments in the activity of postural muscles to cause a desired shift of the center of pressure (COP) and keep balance. We hypothesize that such COP shifts are controlled (stabilized) using a small set of central variables (muscle modes, M-modes), while each M-mode induces changes in the activity of a subgroup of postural muscles. The main purpose of this study has been to explore the possibility of identification of muscle synergies in a postural task using the framework of the uncontrolled manifold (UCM) hypothesis employing the following three steps in data analysis: (i) Identification of M-modes: Subjects were asked to release a load from extended arms through a pulley system, resulting in a COP shift forward prior to load release. Electromyographic (EMG) activity of eleven postural muscles on one side of the body was integrated over a 100 ms interval corresponding to the early stage of the COP shift, and subjected to a principal component (PC) analysis across multiple repetitions of each task. Three PCs were identified and associated with a push-back M-mode, a push-forward M-mode and a mixed M-mode. (ii) Calculation of the Jacobian of the system, which relates changes in the magnitude of M-modes to COP shifts using regression techniques: Subjects performed three different tasks (releasing different loads at the back, voluntarily shifting body weight forward and backward, at different speeds) to verify if the relationship between magnitudes of M-modes and COP shifts is task or direction specific. (iii) UCM analysis: Three tasks were chosen (load release in the front, arm movement forward and backward) which were associated with an early shift in COP. A manifold was identified in the M-mode space corresponding to a certain average (across trials) shift of the COP and variance per degree of freedom within the UCM (V_UCM) and orthogonal (V_ORT) to the UCM was computed. Across subjects, V_UCM was significantly higher than V_ORT when analysis at the third step was performed using a Jacobian computed based on a set of tasks associated with a COP shift in the same direction but not in the opposite direction. This result confirms our hypothesis that the M-modes work together as a synergy to stabilize a desired shift of the COP. Forward and backward COP shifts are associated with different synergies based on the same three M-modes.An erratum to this article can be found at     

Characterisation of electrocardiogram signals based on blind source separation

Blind source separation assumes that the acquired signal is composed of a weighted sum of a number of basic components corresponding to a number of limited sources. This work poses the problem of ECG signal diagnosis in the form of a blind source separation problem. In particular, a large number of ECG signals undergo two of the most commonly used blind source separation techniques, namely, principal component analysis (PCA) and independent component analysis (ICA), so that the basic components underlying this complex signal can be identified. Given that such techniques are sensitive to signal shift, a simple transformation is used that computes the magnitude of the Fourier transformation of ECG signals. This allows the phase components corresponding to such shifts to be removed. Using the magnitude of the projection of a given ECG signal onto these basic components as features, it was shown that accurate arrhythmia detection and classification were possible. The proposed strategies were applied to a large number of independent 3s intervals of ECG signals consisting of 320 training samples and 160 test samples from the MIT-BIH database. The samples equally represent five different ECG signal types, including normal, ventricular couplet, ventricular tachycardia, ventricular bigeminy and ventricular fibrillation. The intervals analysed were windowed using either a rectangular or a Hamming window. The methods demonstrated a detection rate of sensitivity 98% at specificity of 100% using nearest neighbour classification of features from ICA and a rectangular window. Lower classification rates were obtained using the same classifier with features from either PCA or ICA and a rectangular window. The results demonstrate the potential of the new method for clinical use.