不同产地麦冬1H-NMR模式识别研究

目的 建立一种基于氢核磁共振-模式识别的不同产地麦冬鉴别新方法 .方法 以1H-NMR技术测定样品的全成分信息,并转化成数据矩阵,采用模式识别法中的主成分分析(PCA)、偏最小二乘法-N别分析(PLS-DA)以及聚类分析(HCA)进行识别分析.结果 氢核磁共振-模式识别法能有效地鉴别不同产地的麦冬样本.结论 氢核磁共振-模式识别法是一种有效的药材分类鉴别方法 ,可作为药材质量控制的手段之一.     

PLS-DA结合熵权TOPSIS法综合评价不同产地苍耳子

目的 综合评价不同产地苍耳子的质量。方法 采用HPLC法测定不同产地苍耳子中羧基苍术苷、苍术苷、新绿原酸、绿原酸、隐绿原酸、噻嗪双酮苷、1,5-二咖啡酰奎宁酸、3,4-二咖啡酰奎宁酸、3,5-二咖啡酰奎宁酸和4,5-二咖啡酰奎宁酸,采用偏最小二乘判别分析（PLS-DA）和熵权优劣解距离法（EW-TOPSIS）法综合分析测定结果,寻找引起苍耳子产品质量的主要差异性物质,评价不同产地苍耳子质量的优劣。结果 10种成分在各自范围内线性关系良好;绿原酸、1,5-二咖啡酰奎宁酸、3,5-二咖啡酰奎宁酸、羧基苍术苷和新绿原酸是影响苍耳子产品质量的主要潜在标志物;EW-TOPSIS法分析结果显示江苏和山东产的苍耳子质量优。结论 建立的HPLC法操作便捷、结果准确,结合PLS-DA、EW-TOPSIS法可综合评价不同产地苍耳子的质量。     

基于60种植物药多糖HPLC图谱的寒热药性分析及统计模式识别研究

目的:探讨中药寒热药性与多糖成分的相关性,寻找适合解释此相关性的统计模式识别方法。方法:选取寒、热性植物药各30种,提取和精制多糖并彻底水解成单糖,进行衍生化反应,测定多糖的单糖组成HPLC指纹图谱并构建数据库,经数据预处理后,比较6种统计模式识别方法在识别中药药性特征标记方面的优劣。结果:与其他模型相比,偏最小二乘判别分析识别率最高,对测试集植物药的组内判别正确率为91.7%,且对96个模拟药性特征标记整体识别率也明显优于其他模型。结论:中药寒热药性与多糖成分有明显相关性,用偏最小二乘判别分析建立的中药药性识别模型最适合发现与解释中药多糖成分与药性之间的相关性。     

基于红外光谱法的云南重楼及其近缘种的亲缘关系研究

目的傅里叶变换红外光谱(fourier transform infrared spectroscopy,FTIR)结合化学计量学方法分析云南重楼Paris polyphylla var.yunnanensis及其近缘种的亲缘关系,为重楼属药用植物资源的开发利用提供理论依据。方法采集云南重楼、白花重楼Paris polyphylla var.alba、毛重楼Paris mairei、南重楼Paris vietnamensis、五指莲Paris axialis var.axialis共50份样品的红外光谱信息,对光谱数据进行自动基线校正、自动平滑、纵坐标归一化、多元散射校正、二阶求导等预处理,采用主成分分析(principal component analysis,PCA)、偏最小二乘判别分析(partial least squares discriminant analysis,PLS-DA)及系统聚类分析(hierarchical cluster analysis,HCA)分析光谱数据。结果原始红外光谱中,1 653、1 156、1 082、1 021、925、851、759、572、524 cm~(-1)等为重楼属植物的共有峰,主要归属为黄酮、淀粉和糖苷类成分的吸收峰;毛重楼和五指莲分别在1 535和1 369 cm~(-1)附近有特征吸收峰,可与另外3种重楼属植物相区分。以全波段光谱数据进行PLS-DA和PCA,PLS-DA对重楼属植物分类效果优于PCA,能够准确区分5种野生重楼属植物。系统聚类分析(HCA)及向量夹角余弦相关性分析能够反映5个重楼属植物的亲缘关系,云南重楼与白花重楼和南重楼的亲缘关系较近,与毛重楼和五指莲的关系较远。结论 FTIR结合化学计量学方法,能够快速区分不同种类重楼属植物,明确云南重楼及其近缘种之间的亲缘关系,为重楼属植物亲缘关系研究提供一种快速、有效的方法,同时为重楼种质资源开发和利用提供理论基础。     

基于化学计量学分析的桃仁炮制前后指纹图谱研究

目的 建立桃仁炮制前、后HPLC指纹图谱,比较桃仁炮制前后的质量差异以及桃仁与种皮的差异。方法 采用高效液相色谱法测定桃仁饮片（生桃仁、燀桃仁、炒桃仁）各10批的指纹图谱,使用\     

Different metabolic profiles of K1 serotype and non-serotype K1 and K2 Klebsiella pneumoniae isolates in oral infection mice model

K1 or K2 serotype Klebsiella pneumoniae isolate caused clinical pyogenic liver abscess (KLA) infection is prevalent in many areas. It has been identified that K1 or K2 serotype K. pneumoniae isolates caused KLA infection in mice by oral inoculation. In our study, K1 serotype K. pneumoniae isolate Kp1002 with hypermucoviscosity (HV)-positive phenotype caused KLA infection in C57BL/6 mice by oral inoculation. Simultaneously, non-serotype K1 and K2 isolate Kp1014 with HV-negative phenotype failed to cause KLA infection in the same manner. It seems that gastrointestinal tract translocation is the pathway by which K1 or K2 serotype K. pneumoniae caused KLA infection. Liquid chromatography-tandem mass spectrometry was used to further analyze metabolic profile changes in mice with KLA infection. Data showed that after Kp1002 or Kp1014 oral inoculation, serum Phosphatidylcholine (PC) and Lysophosphatidylcholine (LPC) levels significantly changed in mice. Some PC and LPC molecules showed changes both in the Kp1002 KLA group and the Kp1014 no-KLA group compared with the control group. The level of 18:1/18:2-PC significantly changed in the Kp1002 KLA group compared with the control group, but showed no change between the Kp1014 no-KLA group and the control group. The level of 18:1/18:2-PC might have been particularly affected by KLA infection caused by K1 serotype K. pneumoniae Kp1002. It may be a potential biomarker for KLA infection.     

Non-targeted metabolomic biomarkers and metabotypes of type 2 diabetes: A cross-sectional study of PREDIMED trial participants

Aim

To characterize the urinary metabolomic fingerprint and multi-metabolite signature associated with type 2 diabetes (T2D), and to classify the population into metabotypes related to T2D.

耐药口腔鳞癌Tca8113胞外代谢产物的代谢组学分析

目的 探讨口腔鳞癌Tca8113细胞在产生耐药性后胞外代谢产物的变化,寻找差异代谢物.方法 制备胞外代谢产物样本,运用氢谱核磁共振(1H-NMR)获取口腔鳞癌Tca8113细胞和耐药Tca8113/CBP细胞的胞外代谢物图谱,偏最小二乘判别分析(PLS-DA)得出对区分2组细胞贡献较大的差异性变量,将同时满足VIP＞ 1.0和单维统计P＜0.05的代谢物确定为最终的差异代谢物.结果 基于氢谱核磁共振的代谢组学方法可以区分Tca8113和Tca8113/CBP;最终的差异性代谢物有醋酸盐、牛磺酸、丝氨酸、葡萄糖和亮氨酸,它们涉及到了蛋白质代谢、糖代谢和三羧酸循环.结论 应用代谢组学方法成功找到了耐药Tca8113细胞的差异代谢物.     

Metabolic profiling studies on the toxicological effects of realgar in rats by H NMR spectroscopy

The toxicological effects of realgar after intragastrical administration (1 g/kg body weight) were investigated over a 21 day period in male Wistar rats using metabonomic analysis of ¹H NMR spectra of urine, serum and liver tissue aqueous extracts. Liver and kidney histopathology examination and serum clinical chemistry analyses were also performed. ¹H NMR spectra and pattern recognition analyses from realgar treated animals showed increased excretion of urinary Kreb's cycle intermediates, increased levels of ketone bodies in urine and serum, and decreased levels of hepatic glucose and glycogen, as well as hypoglycemia and hyperlipoidemia, suggesting the perturbation of energy metabolism. Elevated levels of choline containing metabolites and betaine in serum and liver tissue aqueous extracts and increased serum creatine indicated altered transmethylation. Decreased urinary levels of trimethylamine-N-oxide, phenylacetylglycine and hippurate suggested the effects on the gut microflora environment by realgar. Signs of impairment of amino acid metabolism were supported by increased hepatic glutamate levels, increased methionine and decreased alanine levels in serum, and hypertaurinuria. The observed increase in glutathione in liver tissue aqueous extracts could be a biomarker of realgar induced oxidative injury. Serum clinical chemistry analyses showed increased levels of lactate dehydrogenase, aspartate aminotransferase, and alkaline phosphatase as well as increased levels of blood urea nitrogen and creatinine, indicating slight liver and kidney injury. The time-dependent biochemical variations induced by realgar were achieved using pattern recognition methods. This work illustrated the high reliability of NMR-based metabonomic approach on the study of the biochemical effects induced by traditional Chinese medicine.     

不同产地麦冬1H-NMR模式识别研究

目的 建立一种基于氢核磁共振-模式识别的不同产地麦冬鉴别新方法。方法 以¹H-NMR技术测定样品的全成分信息,并转化成数据矩阵,采用模式识别法中的主成分分析(PCA)、偏最小二乘法-判别分析(PLS-DA)以及聚类分析(HCA)进行识别分析。结果 氢核磁共振-模式识别法能有效地鉴别不同产地的麦冬样本。结论 氢核磁共振-模式识别法是一种有效的药材分类鉴别方法,可作为药材质量控制的手段之一。