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。     

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.     

壬基酚和辛基酚联合染毒的尿液代谢组学研究

运用代谢组学方法研究壬基酚和辛基酚联合染毒对大鼠尿液代谢的影响.在高效液相色谱-飞行时间质谱技术检测的基础上,通过主成分分析观察了联合染毒的时间-毒效应和剂量-毒效应.根据主成分分析和判别分析,结合t检验,筛选出染毒组和对照组中具有明显差异的化合物,并在Metlin Scripps Center for Mass Spectrometry代谢物数据库中查询,推断其可能的代谢标志物.结果表明,壬基酚和辛基酚联合染毒后,尿液中可能出现的生物标志物有5种,分别为4,8-二羟基喹啉-2-甲酸(黄尿酸)、色氨酸及N-乙酰-5-羟色胺、RG- 13022和十六碳烯酸.由这些物质涉及的代谢途径,推测壬基酚和辛基酚联合染毒可能对生物体的蛋白质代谢、神经系统和心血管系统、生物节律、细胞抗氧化、性激素的平衡等方面产生毒效应,另外还可能影响细胞的信号传递和脂类代谢.     

基于核磁共振技术的临床尿毒症的代谢组学研究

采用核磁共振技术与统计学分析方法,结合尿液的生化指标,进行临床尿毒症尿样的代谢组学研究。结果表明,尿毒症患者和健康对照人群尿样的代谢轮廓存在明显差异,通过核磁共振氢谱鉴定出70种代谢物,其中20种具有显著差异。与健康人群相比,尿毒症患者尿液中2-羟基异丁酸、3-羟基丁酸、丙酮、丁酸、谷氨酸、肌氨酸、肌酐、赖氨酸、N,N-二甲基组氨酸、柠檬酸、天冬酰胺、乙醇和乙醇胺的含量明显偏低,而支链氨基酸(包括亮氨酸、缬氨酸、异亮氨酸)、牛磺酸、乳酸、α-葡萄糖和β-葡萄糖的含量明显偏高。这些代谢物涉及氨基酸代谢、能量代谢和脂质代谢中的多条代谢途径,可作为尿毒症代谢影响的潜在的生物标志物,有助于理解尿毒症发病的生化机制。     

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.     

甲亢患者血清和尿液的核磁共振代谢组学研究

应用基于核磁共振(NMR)的代谢组学方法, 研究甲状腺功能亢进(简称甲亢)患者和健康人群的血清和尿液, 分析甲亢疾病的特征代谢物. 实验收集33个甲亢患者和17个健康志愿者的血清样品以及53个甲亢患者和58个健康志愿者的尿液样品, 采用多元统计分析方法研究甲亢组和对照组血清和尿液中的内源性代谢差异. 结果表明, 甲亢组血清中的胆碱、葡萄糖和三甲胺等物质的含量升高, 而VLDL, LDL和胆固醇等脂质以及乳酸、糖蛋白和丙氨酸等代谢物的含量下降; 甲亢组尿液中的葡萄糖、柠檬酸、牛磺酸以及肌氨酸等代谢物的含量升高, 而马尿酸、TMAO、甲酸和琥珀酸等代谢物的含量下降. 结果表明, 甲亢病不仅影响了糖类、脂类和蛋白质三大物质的代谢, 还对能量代谢、肝肠循环和肠道微生物等多个生理系统产生显著影响, 并且可能造成肝脏及肾脏等器官的损伤.     

优化流动相提高代谢组学尿液样品中代谢物覆盖率的方法

采用高效液相色谱飞行时间质谱(HPLC-QTOF-MS)对尿液进行代谢组学分析,在流动相中分别添加甲酸,甲酸铵,乙酸铵3种流动相改性剂来考察尿液中代谢物的覆盖范围、离子响应强度和分辨率。通过标准品和质控样品评价手段建立了适用于尿液代谢物分析的方法。在该方法基础上,在流动相中分别添加甲酸、甲酸铵、乙酸铵,正负离子模式下尿液中检测到的离子数分别为1452,1197,714和636,593,947。正离子模式下,添加甲酸后的离子质荷比范围最广为m/z 340.0488±125.7661;负离子模式没有明显差别。在正、负离子模式下,在流动相中添加甲酸和乙酸铵,代谢物覆盖率最高,且离子响应强度和分辨率有所提高。方法已应用于复合农药和壬基酚暴露的尿液代谢组学研究以及可能生物标志物的筛选。     

基于超高效液相色谱-质谱的胶质瘤患者血浆代谢组学研究

采用超高效液相色谱-四极杆-静电场轨道阱质谱(UHPLC-Q-OrbitrapHRMS)技术对胶质瘤患者和正常对照人群的血浆进行代谢轮廓分析,筛选胶质瘤代谢标志物,为其发病机制阐明和临床早期诊断提供科学依据。通过对UHPLC-Q-OrbitrapHRMS采集得到的谱图进行峰识别、峰匹配和去噪等处理后,应用主成分和正交偏最小二乘-判别分析法对代谢组学数据进行统计分析,筛选VIP1.0及P0.05的差异代谢物,并进一步对其诊断能力进行评价。结果显示,胶质瘤患者的血浆代谢轮廓发生明显变化,发现并鉴定得到10个差异代谢物,其中亮氨酸、缬氨酸、色氨酸、胆碱和牛磺酸在胶质瘤患者血浆中含量降低,组氨酸、柠檬酸、乳酸、肌酸和丙酮酸含量升高,与正常对照组比较具有显著性差异(P0.05),提示氨基酸和能量等代谢异常可能对胶质瘤的发生发展具有重要影响。此外,各差异性代谢物对胶质瘤均显示出较好的诊断能力(AUC0.8),可作为潜在诊断标志物。     

硫酸氧钒毒性的核磁共振代谢组学方法研究

采用基于核磁共振(NMR)的代谢组学方法,结合生化指标分析及组织病理学检测,研究了具有类胰岛素活性的硫酸氧钒(VOSO4)对Wistar大鼠的毒性作用.通过不同剂量的VOSO4对Wistar大鼠连续灌胃给药16d,收集大鼠的血清和尿液,并采集样品的1H NMR谱进行多变量数据统计分析来辨识其特征代谢物,然后采用TICL(a web Tool for automatic Interpretation of Compound List)方法建立特征代谢物的代谢网络模型,分析受影响的主要代谢途径及其相互关系.研究结果表明:高剂量组(45mg/kg)和低剂量组(15mg/kg)的特征代谢物含量与对照组存在明显的差异;与对照组相比,高剂量和低剂量组血清中乳酸、肌氨酸酐以及牛磺酸等代谢物的含量增加,尿液中氧化三甲胺(TMAO)、肌酐、牛磺酸和甘氨酸等代谢物的含量增加,并呈现显著的剂量依赖关系;给药组中乙酸和琥珀酸的含量都降低.这些结果说明VOSO4可能影响大鼠体内的糖代谢、脂类代谢及肠道菌群代谢等多个代谢系统,高剂量的VOSO4会导致肝脏毒性和肾脏损伤.     

基于气相色谱-质谱联用的血府逐瘀汤治疗大鼠颅脑损伤的血浆代谢组学研究

该文研究了血府逐瘀汤对颅脑损伤大鼠血浆代谢组的影响,采用气相色谱-质谱联用(GC-MS)技术对治疗组、模型组以及假手术组的血浆代谢物进行检测,定性定量分析了43种重要的代谢物。模型组和假手术组的t检验(t-test)结果显示13种代谢物存在显著差异。正交偏最小二乘-判别分析(OPLS-DA)分析结果也显示模型组和假手术组代谢差异明显。结合变量的投影重要性指标(VIP)及t检验结果,筛选出乳酸、组氨酸、棕榈酸、色氨酸、亚油酸、油酸、硬脂酸作为生物标志物。观测7种标志物在治疗组中第1、3、7、14 d的变化情况。结果显示:治疗组中乳酸、组氨酸、棕榈酸、亚油酸、硬脂酸的相对浓度逐渐降低,色氨酸的相对浓度先降低后升高,油酸的相对浓度先升高后降低,且7种代谢物的相对浓度在第14 d时均接近于假手术组的水平。表明血府逐瘀汤对颅脑损伤具有一定的治疗作用,乳酸、组氨酸、棕榈酸、色氨酸、亚油酸、油酸、硬脂酸7种代谢物可以作为生物标志物监测颅脑损伤的治疗效果及恢复情况。     

Effects of the ambient fine particulate matter (PM2.5) exposure on urinary metabolic profiles in rats using UPLC-Q-TOF-MS

The pathogenesis of PM2.5 was evaluated on rats in model groups using a metabonomic method by UPLC-Q-TOF-MS and 17 potential endogenous metablites were identified. The primary metabolism pathways involved pentose and glucuronate interconversions, starch and sucrose metabolism, tryptophan metabolism, tyrosine metabolism, phenylalanine metabolism, purine metabolism, acetaminophen metabolism pathway, retinol metabolism and valproic acid metabolism pathway.     

Metabonomics investigation of human urine after ingestion of green tea with gas chromatography/mass spectrometry, liquid chromatography/mass spectrometry and (1)H NMR spectroscopy

A method using gas chromatography/mass spectrometry (GC/MS), liquid chromatography/mass spectrometry (LC/MS) and (1)H NMR with pattern recognition tools such as principle components analysis (PCA) was used to study the human urinary metabolic profiles after the intake of green tea. From the normalized peak areas obtained from GC/MS and LC/MS and peak heights from (1)H NMR, statistical analyses were used in the identification of potential biomarkers. Metabolic profiling by GC/MS provided a different set of quantitative signatures of metabolites that can be used to characterize the molecular changes in human urine samples. A comparison of normalized metabonomics data for selected metabolites in human urine samples in the presence of potential overlapping peaks after tea ingestion from LC/MS and (1)H NMR showed the reliability of the current approach and method of normalization. The close agreements of LC/MS with (1)H NMR data showed that the effects of ion suppression in LC/MS for early eluting metabolites were not significant. Concurrently, the specificity of detecting the stated metabolites by (1)H NMR and LC/MS was demonstrated. Our data showed that a number of metabolites involved in glucose metabolism, citric acid cycle and amino acid metabolism were affected immediately after the intake of green tea. The proposed approach provided a more comprehensive picture of the metabolic changes after intake of green tea in human urine. The multiple analytical approach together with pattern recognition tools is a useful platform to study metabolic profiles after ingestion of botanicals and medicinal plants.     

基于快速高分辨液相色谱-质谱的中波紫外线辐射诱导大鼠急性光损伤的代谢组学研究

利用快速高分辨液相色谱-四极杆-飞行时间质谱( RRLC-Q-TOF-MS)联用技术结合多元统计分析方法,考察在中波紫外线( Ultraviolet B, UVB)辐射前后,大鼠尿液中内源性代谢物谱的变化,研究UVB辐射导致急性光损伤的生理机制。急性光损伤大鼠模型由窄谱中波紫外线光源(TL-01,峰值312 nm)照射,采用离心沉降后四倍稀释法处理尿液样本, Supelco Ascentis? Express C18色谱柱,水(含0.1％甲酸)与乙腈为流动相梯度洗脱,液相色谱-串联质谱分析测定。利用主成分分析( PCA)法、聚类分析( CA)法等对辐射前后的大鼠尿液样本进行代谢轮廓分析,寻找对分组贡献大的差异代谢物及通路,并阐明其作用机制;运用偏最小二乘判别分析( PLS-DA)法建立预测模型,考察此模型在UVB致光损伤模型诊断上的预测能力。多元统计分析结果显示,空白对照组与UVB模型组能够获得很好地区分,通过将差异代谢物与数据库、串联质谱数据及标准品比对,发现并鉴定出11种潜在生物标记物,表明UVB辐射可影响正常大鼠的鞘脂类代谢、核酸代谢、亚油酸代谢、氨基酸代谢等通路,这些差异代谢物对UVB辐射致光损伤类疾病的诊断具有较好的预判能力。     

Development and validation of a ultra performance LC-ESI/MS method for analysis of metabolic phenotypes of healthy men in day and night urine samples

Ultra-performance LC coupled to quadrupole TOF/MS (UPLC-QTOF/MS) in positive and negative ESI was developed and validated to analyze metabolite profiles for urine from healthy men during the day and at night. Data analysis using principal components analysis (PCA) revealed differences between metabolic phenotypes of urine in healthy men during the day and at night. Positive ions with mass-to-charge ratio (m/z) 310.24 (5.35 min), 286.24 (4.74 min) and 310.24 (5.63 min) were elevated in the urine from healthy men at night compared to that during the day. Negative ions elevated in day urine samples of healthy men included m/z 167.02 (0.66 min), 263.12 (2.55 min) and 191.03 (0.73 min), whilst ions m/z 212.01 (4.77 min) were at a lower concentration in urine of healthy men during the day compared to that at night. The ions m/z 212.01 (4.77 min), 191.03 (0.73 min) and 310.24 (5.35 min) preliminarily correspond to indoxyl sulfate, citric acid and N-acetylneuraminic acid, providing further support for an involvement of phenotypic difference in urine of healthy men in day and night samples, which may be associated with notably different activities of gut microbiota, velocity of tricarboxylic acid cycle and activity of sialic acid biosynthesis in healthy men as regulated by circadian rhythm of the mammalian bioclock.     

Principal component analysis of urine metabolites detected by NMR and DESI–MS in patients with inborn errors of metabolism

Urine metabolic profiles of patients with inborn errors of metabolism were examined with nuclear magnetic resonance (NMR) and desorption electrospray ionization mass spectrometry (DESI-MS) methods. Spectra obtained from the study of urine samples from individual patients with argininosuccinic aciduria (ASA), classic homocystinuria (HCY), classic methylmalonic acidemia (MMA), maple syrup urine disease (MSUD), phenylketonuria (PKU) and type II tyrosinemia (TYRO) were compared with six control patient urine samples using principal component analysis (PCA). Target molecule spectra were identified from the loading plots of PCA output and compared with known metabolic profiles from the literature and metabolite databases. Results obtained from the two techniques were then correlated to obtain a common list of molecules associated with the different diseases and metabolic pathways. The combined approach discussed here may prove useful in the rapid screening of biological fluids from sick patients and may help to improve the understanding of these rare diseases.     

Metabonomics study of atherosclerosis rats by ultra fast liquid chromatography coupled with ion trap-time of flight mass spectrometry

An ultra fast liquid chromatography coupled with IT-TOF mass spectrometry (UFLC/MS-IT-TOF) metabonomic approach was employed to study the plasma and urine metabolic profiling of atherosclerosis rats. Acquired data were subjected to principal component analysis (PCA) for differentiating the atherosclerosis and the control groups. Potential biomarkers were screened by using S-plot and were identified by the accurate mass and MSⁿ fragments information obtained from UFLC/MS-IT-TOF analysis. 12 metabolites in rat plasma and 8 metabolites in urine were identified as potential biomarkers. Concentrations of leucine, phenylalanine, tryptophan, acetylcarnitine, butyrylcarnitine, propionylcarnitine and spermine in plasma and 3-O-methyl-dopa, ethyl N2-acetyl-l-argininate, leucylproline, glucuronate, t6A N(6)-(N-threonylcarbonyl)-adenosine and methyl-hippuric acid in urine decreased in atherosclerosis rats. Ursodeoxycholic acid, chenodeoxycholic acid, LPC (C16:0), LPC (C18:0) and LPC (C18:1) in plasma and hippuric acid in urine were in higher levels in atherosclerosis rats. The alterated metabolites demonstrated abnormal metabolism of phenylalanine, tryptophan, bile acids and amino acids. This research proved that metabonomics is a promising tool for disease research.     

Metabolite Profiling to Monitor Organochlorine Pesticide Exposure in HepG2 Cell Culture

Gas chromatography coupled with time of flight mass spectrometry (GC/MS-TOF) was used to profile endogenous metabolites in HepG2 cell cultures to assess the metabolic changes induced by exposure to different organochlorine pesticides, their mixtures and controls (endosulfan, lindane, DDT and aldrin). Cells were cultured in DMEM with Glutamax at 37 °C with 5 % CO₂ for 72 h and then exposed to each pesticide, pesticide mixture or DMSO (as a control) for 24 h, and finally, endogenous metabolites were extracted and analyzed using GC/MS-TOF. The experiment was repeated six times under the same cell passage and culture conditions. PCA, PLS-DA and ROC were performed to analyze the GC/MS-TOF data and identify potential biomarkers. Thirty-five explanatory metabolites were found in both PCA and PLS-DA models, where Q ² was 0.86 and R ² was 0.98. Univariate and multivariate ROC showed potential biomarkers for each treatment, suggesting a general toxic mechanism for organochlorine pesticides that is specific for each type of compound. These results confirmed the effect of OCPs in sugar and amino acid metabolism that are linked with the function of cytochrome P450 in reductive dechlorination and oxidative stress.

     

Urinary metabolomics of complete Freund's adjuvant‐induced hyperalgesia in rats

The aim of this study was to demonstrate the differences of metabolomics changes in a hyperalgesia model and find potent biomarkers of hyperalgesia. Seven rats were placed in metabolic cages. An emulsion containing 500 μg of Complete Freund's adjuvant (CFA) was used to induce hyperalgesia. Urine samples were collected prior to the injection of CFA and on post‐injection days 1, 3 and 7. Ultraperformance liquid chromatography, coupled with quadrupole‐time‐of‐flight mass spectrometry (UHPLC‐Q‐TOF/MS), was used for a quantitative analysis of urinary metabolic changes in the CFA‐induced hyperalgesia model. Differences between the metabolic profiles of the rats in the four groups were analyzed using partial least squares discriminant analysis. Thirty‐four potential urine metabolite biomarkers were identified, which changed in a trend similar to the pain threshold. These potential biomarkers were involved in 11 metabolic pathways, as follows: alanine, aspartate, and glutamate metabolism; ascorbate and aldarate metabolism; glycerolipid metabolism; glycerophospholipid metabolism; histidine metabolism; phenylalanine metabolism; sphingolipid metabolism; tryptophan metabolism; tyrosine metabolism; valine, leucine and isoleucine biosynthesis; and vitamin B6 metabolism. These results may improve our understanding of hyperalgesia and provide a basis for the clinical diagnosis of hyperalgesia.