大鼠尿液中壬基酚的代谢轮廓

运用代谢组学方法研究了壬基酚对大鼠尿液代谢的影响, 通过高效液相色谱-飞行时间质谱技术建立了大鼠尿样的代谢指纹图谱, 用主成分分析法分析给药组与对照组代谢物指纹图谱的差异, 通过t检验选取潜在的生物标志物及效应标志物, 并结合代谢物数据库检索对其进行鉴定. 结果表明, 壬基酚给药后, 尿液中含量变化显著的成分苯基葡萄糖苷酸、L-高半胱氨酸、3-硝基丙酸、肌酸酐、左旋肉碱及5-羟色胺等构成了大鼠尿液代谢的轮廓, 它们在生物体内的变化可能对生殖系统、免疫系统、神经系统及脂肪的代谢造成一定的影响, 从代谢的角度解释了环境雌激素壬基酚对生物体的危害, 为毒理学研究提供了依据.     

基于HPLC/Q-TOF MS的4种农药联合暴露人群的代谢组学研究

采用基于高效液相色谱-飞行时间质谱联用(HPLC-TOF MS)的代谢组学方法,研究了啶虫脒、高效氯氟氰菊酯、联苯菊酯、甲氨基阿维菌素苯甲酸盐4种农药联合暴露所致的施药人群尿液中内源性代谢物的变化。采集30位农民喷洒4种复合农药前和喷洒农药期1,3,5,7 d的尿液进行检测。提取正常尿液中常见代谢物并通过质控样品评价手段进行分析,结果表明该方法具有良好的稳定性和精密度,可用于尿液中代谢物分析。多变量分析结果表明,暴露人群施药前后尿液的代谢物含量存在较大差异。对选取的36个差异离子进行鉴定,确定了8个生物标志物的结构。结果显示联合暴露组人群尿液中多巴胺、5-羟色胺、酪氨酸、色氨酸、牛磺酸和马尿酸的含量显著下降;犬尿素和肌酸的含量显著上升。4种农药联合暴露导致接触人群尿液中色氨酸代谢途径的中间产物含量降低,肝代谢和能量代谢相关的代谢物蓄积,可能与神经系统和肝脏功能的受损有关。     

基于UPLC/Q-TOF MS的糖尿病尿液代谢组学研究

利用超高效液相色谱-飞行时间质谱联用开展糖尿病尿液代谢组学研究。尿液样品经稀释过滤后进样分析,对采集的谱图进行峰提取、峰匹配和过滤后,采用主成分分析的偏最小二乘-判别分析进行数据分析。结果发现,糖尿病人较正常人尿液的代谢表型发生了显著变异,主成分分析得分散点图中健康对照组与患病组分类良好;根据谱库共筛选了18个表征标记物,对其中14个进行了结构鉴定。糖尿病患者尿液中的糖、脂、氨基酸等代谢通路均发生了紊乱,在糖类代谢物中,钠葡萄糖醛酸含量明显高于正常对照组;在脂肪酸类物质中,20-羧基花生四烯酸、棕榈酸及磷脂酰肌醇在糖尿病患者尿液中含量高于正常对照组;氨基酸类代谢物中,酪氨酸、N-β-丙氨酰-L组氨酸、色氨酸含量较正常人低,戊二酸、烟酰甘氨酸、天冬氨酸、苯丙氨酸等含量升高。     

代谢组学法研究三聚氰胺对儿童尿液代谢的影响

运用代谢组学方法研究了三聚氰胺对儿童尿液代谢的影响.通过超高效液相色谱-飞行时间质谱(UPLC/TOF-MS)法分析儿童尿样的代谢指纹图谱,质谱数据采用MarkerLynx软件处理,然后使用主成分分析和偏最小二乘判别分析法分析病例组和正常对照组之间的代谢物谱差异,并通过变量重要性投影(VIP)选取潜在的生物标志物,结合质谱同位素分析和数据库检索对潜在的生物标志物进行鉴定.结果表明,三聚氰胺通过肾结石导致的物理性损伤干扰了柠檬酸代谢.代谢组学法能够应用于三聚氰胺导致的代谢异常的研究及三聚氰胺导致肾损伤的无创检测.     

基于液质联用技术的高脂血症金黄地鼠肝脏非靶标代谢组学研究

采用液相色谱-飞行时间质谱联用技术(LC-TOF MS)对高脂血症金黄地鼠的肝匀浆液进行代谢谱分析,并利用模式识别挖掘潜在生物标志物以探索发病机制.采用反相色谱(RPLC)和亲水作用色谱(HILIC)两种模式分离肝匀浆液中的内源性代谢产物.采用偏最小二乘法判别分析(PLS-DA)进行数据分析,结合标准品与数据库比对、二...     

雄激素非依赖前列腺癌细胞系代谢组学的初步研究

探讨雄激素依赖性前列腺癌LNCaP细胞系向雄激素非依赖性前列腺癌细胞系(LNCaP-AI和LNCaP-AI+F)转变过程的代谢组学变化,寻找前列腺癌发生雄激素耐药的可能发生机制.利用超高效液相色谱-四极杆-飞行时间质谱,在电喷雾电离源在正离子模式下,采用60%(V/V)甲醇-0.85%(w/V)NH4HCO3溶液在-4...     

基于液相色谱-质谱联用技术的心肌缺血大鼠血清和心肌组织代谢组学

采用异丙肾上腺素诱导心肌缺血大鼠模型,使用液相色谱-质谱法检测血清和心肌中的内源性成分,应用软件对已鉴定的40余种目标成分进行靶向提取,用主成分分析(PCA)、有监督偏最小二乘法判别分析(PLS-DA)对代谢组学数据进行多维度统计分析,筛选潜在生物标志物。与对照组相比,在心肌缺血模型组大鼠血清、组织中检测出18个差异代谢物,涉及精氨酸和脯氨酸代谢、甘氨酸、丝氨酸和苏氨酸代谢、谷氨酰胺和谷氨酸代谢、牛磺酸和亚牛磺酸代谢等多条代谢通路。代谢产物可作为心肌缺血研究中的重要标志物,该研究结果有助于揭示心肌缺血的发病机制,可为临床疾病诊断提供思路。     

蟾酥急性毒性的代谢组学研究

本文中,我们运用代谢组学方法结合心电图分析对蟾酥导致的大鼠急性毒性进行了研究,通过超高效液相色谱-飞行时间质谱建立了大鼠血清的代谢指纹谱,采用主成分分析和正交偏最小二乘法判别分析法分析了对照组和各给药组之间的代谢物谱差异,通过变量重要性投影和T检验选取潜在的生物标志物,结合质谱同位素分析、数据库检索以及标准品对潜在生物标志物进行了鉴定。结果表明,蟾酥可导致心脏心率减慢、心律失常、甚至出现心肌梗塞现象,其导致心脏损伤的原因可能是通过阻碍自由脂肪酸再酰化或激活蛋白激酶通路干扰了脂质代谢,这对于阐述蟾酥毒性作用机理提供了新思路。     

高效液相色谱技术在代谢组学研究中的应用

高效液相色谱技术逐渐广泛应用于代谢组学的研究中。迄今为止,该技术已经在不同生理状态的生物体液的代谢指纹谱分析中得到了应用。本文评述了传统高效液相色谱技术、毛细管技术和超高效液相色谱等技术在代谢组学的应用。     

运用液相色谱联合离子阱-飞行时间质谱法进行海洛因成瘾人员代谢组学研究

利用代谢组学的研究方法,对海洛因成瘾人员尿液及血清中可能的相关标志物进行筛选。运用液相色谱联合离子阱-飞行时间质谱(LC/MS-IT-TOF)联用技术对海洛因检测尿检条阴性的16名海洛因滥用成瘾者与16名正常人的血清和尿液进行研究。多变量统计分析结果表明,海洛因成瘾者和正常人聚类明显,血清和尿液中分别发现12种可能的潜在标志物。成瘾人员和正常人员在血清及尿液代谢水平上具有明显差异,差异代谢物的发现有助于为发现海洛因成瘾判定的潜在标志物提供依据。     

小儿肺炎患者尿液的代谢组学初步研究

利用液相色谱-质谱联用法对小儿肺炎( Childhood pneumonia, CP)患者和健康儿童( Healthy control)的尿液进行分析,发现小儿肺炎患者尿液中的潜在标记物,为其发病机制及早期筛查提供科学依据。筛选10例小儿肺炎患者(age 47.72±2.35 months)及10例健康儿童(age 46.65±1.97 months)尿液样本,采用快速高分辨液相色谱四极杆-飞行时间质谱联用( RRLC-Q TOF/MS)技术对其尿液代谢物进行分析,通过主成分分析方法( PCA)对两组代谢物进行分类,并发现潜在生物标记物。 RRLC-Q TOF/MS检测表明,CP组和Healthy Control组尿液代谢物图谱能得到很好的区分,并鉴定了5种生物标记物,提示嘌呤代谢、氨基酸代谢可能在小儿肺炎发生发展中有重要作用。     

Lysophosphatidylcholine Biomarkers of Lung Cancer Detected by Ultra-performance Liquid Chromatography Coupled with Quadrupole Time-of-flight Mass Spectrometry

Centrifugal ultrafiltration after methanol extraction of whole plasma was used as an optimal condition for the preparation of blood plasma before metabonomic studies. The plasma samples from 102 lung cancer patients and 34 healthy volunteers were prepared with this approach. With ultra-performance liquid chromatography(UPLC) coupled with quadrupole time-of-flight mass spectrometry(Q-TOF MS) analysis, the samples were investigated in order to find potential disease biomarkers. After data acquisition, orthogonal signal correction partial least squares models were built to differentiate the healthy volunteers from lung cancer patients and to identify metabolites that showed significantly different expression between the two groups. Several metabolite ions were identified as potential biomarkers according to the variable importance in the project(VIP) value in both ion modes. Five lysophosphatidylcholines were further identified as specifically lysoPC 16:0, isomer of lysoPC 16:0, lysoPC 18:0, lysoPC 18:1 and lysoPC 18:2. These results suggest that UPLC coupled with Q-TOF MS is an effective technique for the analysis of plasma metabolites in metabonomic studies.     

Metabonomics and Molecular Biology-based Effects of Sugemule-3 in an Isoproterenol-induced Cardiovascular Disease Rat Model

Cardiovascular disease(CVD) is a common and serious disease in the elderly, which has characteristically high prevalence, disability, and mortality rates. However, the etiology of CVD is still not very clear. The traditional Mongolian medicine Sugemule-3(SM) is usually used for the treatment of CVD and exhibits a good curative effect. In this study, a serum metabolite profile analysis was used to identify potential biomarkers associated with isoproterenol(ISO)-induced CVD and investigate the mechanism of the action of SM. Ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF-MS) was used for the metabono-mics analysis. Principal component analysis(PCA) was used to process the acquired data to differentiate the results of the control, CVD, and SM treatment groups. Orthogonal partial least squares discriminant analysis(OPLS-DA) enabled the identification of 21 metabolites as potential biomarkers that were relevant to phospholipid and energy metabolism. The results indicate that SM played a protective role against ISO-induced CVD in rats by regulating phospholipid and energy metabolic pathways. Further, we verified the apoptotic metabolic pathway using molecular biology methods, such as terminal deoxynucleotidyl transferase(TdT) deoxyuridine 5'-triphosphate(dUTP) nick-end labeling(TUNEL) assay and Western blot analysis. Furthermore, this study identified early biomarkers of CVD and elucidated the underlying mechanism of the therapeutic actions of SM, which is worth further to be investigated for development as a clinical therapy.     

Metabonomics study of liver cancer based on ultra performance liquid chromatography coupled to mass spectrometry with HILIC and RPLC separations

In this study, urinary metabolites from liver cancer patients and healthy volunteers were studied by a metabonomic method based on ultra performance liquid chromatography coupled to mass spectrometry. Both hydrophilic interaction chromatography (HILIC) and reversed-phase liquid chromatography (RPLC) were used to separate the urinary metabolites. Principle component analysis (PCA) and partial least squares to latent structure-discriminant analysis (PLS-DA) models were built to separate the healthy volunteers from the liver cancer patients and to find compounds that are expressed in significantly different amounts between the two populations. 21 metabolite ions were considered as potential biomarkers according to the Variable importance in the Project (VIP) value and S-plot. Compared with RPLC, a more sensitive and stable response can be recorded in HILIC mode due to the high content of organic solvent used. Moreover, the liver cancer group and the healthy volunteers can be better separated based on the data from the HILIC separation, which indicates that HILIC is suitable for urinary metabonomic analysis. In HILIC mode, several polar compounds related to arginine and proline metabolism, alanine and aspartate metabolism, lysine degradation, nicotinate and nicotinamide metabolism were found to be significantly changed in the concentrations of the two different populations: healthy and cancer. In contrast, in RPLC mode, these changed compounds are related to fatty acids oxidation.     

Metabonomics research of diabetic nephropathy and type 2 diabetes mellitus based on UPLC-oaTOF-MS system

Ultra performance liquid chromatography (UPLC) coupled with orthogonal acceleration time-of-flight (oaTOF) mass spectrometry has showed great potential in diabetes research. In this paper, a UPLC-oaTOF-MS system was employed to distinguish the global serum profiles of 8 diabetic nephropathy (DN) patients, 33 type 2 diabetes mellitus (T2DM) patients and 25 healthy volunteers, and tried to find potential biomarkers. The UPLC system produced information-rich chromatograms with typical measured peak widths of 4 s, generating peak capacities of 225 in 15 min. Furthermore, principal component analysis (PCA) was used for group differentiation and marker selection. As shown in the scores plot, the distinct clustering between the patients and controls was observed, and DN and T2DM patients were also separated into two individual groups. Several compounds were tentatively identified based on accurate mass, isotopic pattern and MS/MS information. In addition, significant changes in the serum level of leucine, dihydrosphingosine and phytoshpingosine were noted, indicating the perturbations of amino acid metabolism and phospholipid metabolism in diabetic diseases, which having implications in clinical diagnosis and treatment.     

体液中西地那非的测定及其代谢物的确认

建立了高效液相色谱-电喷雾串联质谱(HPLC-ESI-MS/MS)测定血液中西地那非以及利用电场轨道阱回旋共振组合质谱仪(LTQ-Orbitrap)鉴定尿液中西地那非代谢产物的方法.用乙醚提取体液,采用Ultra IBD色谱柱,以乙腈-20 mmol乙酸铵(含0.1%甲酸)缓冲液(70:30,V/V)为流动相,恒流分离...     

慢性心功能衰竭患者尿液的代谢组学研究

采用基于液相色谱-质谱联用的方法对慢性心力衰竭(Chronic heart failure, CHF)患者和正常对照(Control)人群的尿液进行分析, 筛选慢性心力衰竭患者尿液中的差异代谢物, 研究其发病机制, 并为临床治疗提供科学依据.选择15个慢性心力衰竭患者(年龄(62.27±3.14)岁)及15个正常人(年龄(65.41±4.63)岁), 采用高分辨度快速液相色谱-四极杆-飞行时间串联质谱(RRLC-QTOF/MS)技术对尿液代谢物进行分析, 采用主成分分析(PCA)对两组代谢物进行分类, 并筛选潜在生物标记物;运用偏最小二乘判别分析法(PLS-DA)建模, 考察生物标记物对疾病筛选的预测能力.研究结果表明, CHF组和Control组尿液代谢物谱能得到很好的区分, 发现并鉴定了2种潜在生物标记物尿苷及丙氨酰色氨酸, 提示嘧啶代谢和色氨酸代谢可能在心力衰竭发生发展中有重要作用.     

膀胱癌血清及尿液代谢组学研究

应用代谢组学研究方法,对与膀胱癌(Bladder cancer,BC)发病相关的生物标志物进行筛选,采用液相色谱-电喷雾质谱(LC-ESI/MS)联用技术对20名膀胱癌患者与24名正常人的血清和尿液进行研究.多变量统计分析结果表明,膀胱癌患者和正常人聚类明显,血清和尿液中分别发现13个潜在标志物.其中,(2E,6E,8E)-二十二碳三烯-1-醇、7-((1S,2S)-2-(庚胺)环己基)庚酸和(11E,14E,17E)-三烯-二十碳-1-醇首次在血清中发现,有潜力成为膀胱癌诊断标志物.液相色谱-质谱联用结合多变量分析的代谢组学研究技术在膀胱癌诊断中展现出巨大潜力.     

基于液相色谱-质谱联用技术的肺癌细胞代谢组学分析

通过高效液相色谱-四极杆飞行时间质谱(HPLC-Q-TOF/MS)分别对肺癌细胞与正常细胞的极性与非极性代谢物进行指纹图谱分析,进一步应用偏最小二乘判别分析(PLS-DA)对代谢组学数据进行多维统计分析。研究结果显示,与正常细胞相比,肿瘤细胞存在异常的蛋白质、脂肪酸、磷脂代谢,并发现31种对分类有显著贡献的代谢小分子物质。通过本研究,建立了基于液相色谱-质谱联用技术的肺癌细胞代谢组学分析方法,发现了肺癌潜在疾病标记物,可为肺癌分子标记物的发现及其早期诊断提供新思路和新方法。     

基于UPLC-oaTOF-MS的糖尿病及糖尿病肾病的代谢组学研究

以糖尿病患者、糖尿病肾病患者和正常人的血清为研究对象, 采用超高效液相色谱-飞行时间质谱建立其代谢指纹图谱, 并结合主成分分析进行模式识别, 实现患者和正常人的区分, 并试图发现潜在的标志物.