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~1HNMR的代谢组学方法对大鼠砒霜给药后血清的研究

运用代谢组学方法研究了Wistar大鼠灌胃给药砒霜2和10 mg/kg剂量血清代谢的变化。通过核磁共振技术检测大鼠血清的代谢指纹图谱,然后利用主成分分析法分析空白组和砒霜给药组的代谢物差异,研究不同剂量砒霜在大鼠体内的急性生物效应。结果表明,砒霜对大鼠的急性靶向器官是肝脏,随着剂量增大,毒性增强;低剂量给药导致氧化应激,高剂量给药诱导细胞凋亡;低和高剂量给药均出现糖、氨基酸及脂质代谢紊乱,且能量代谢异常。     

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.     

基于超高效液相色谱-高分辨质谱联用技术的桑黄干预后大鼠尿液代谢组学分析

为探讨服用桑黄水煎液对机体的影响,采用超高效液相色谱-高分辨质谱（UPLC-HDMS）联用技术,检测灌胃给予桑黄水煎液后大鼠尿液中代谢物的变化。采用正交偏最小二乘法判别分析（OPLS-DA）对空白组和给药组大鼠尿液代谢物进行聚类分析,筛选出潜在的生物标志物,并通过MetaboAnalyst 3.0网站分析相关代谢通路。数据显示,两组大鼠尿液中的代谢物在第28天得到了很好的区分,发现并鉴定了10个生物标记物。灌胃给予桑黄水煎液主要对机体的半胱氨酸和甲硫氨酸代谢、精氨酸和脯氨酸代谢、嘌呤代谢等代谢通路产生影响。研究结果为深入探讨桑黄药效作用机制奠定了一定的实验基础。     

格列美脲治疗的2型糖尿病大鼠的尿液代谢组学研究

采用快速高分离度液相色谱-质谱技术(RRLC-MS)检测经格列美脲治疗的2型糖尿病大鼠尿液中代谢物的变化, 对糖尿病组、 给药组和健康对照组大鼠的尿液代谢物谱进行了分析. 采用主成分分析(PCA)对3组大鼠进行分类并寻找潜在生物标记物. 结果表明, 3组大鼠的尿液代谢物谱得到了很好的区分, 发现并鉴定了2个潜在生物标记物, 分别为4-脱氧三羟基丁酸和4-胍基丁酸. 格列美脲对2型糖尿病大鼠的药物作用可能体现为对氨基酸代谢的调节作用.     

基于1HNMR给药赭石后大鼠尿液的代谢组学分析

基于1H NMR 的代谢组学方法结合多变量数据分析方法(主成分分析和偏最小二乘判别分析)对灌胃给药赭石(2,5和10 g/ kg 体重剂量)的成年 Wistar 大鼠尿液进行分析,并对大鼠给药前1天、给药后1~5天尿液1 H NMR 数据进行单变量比较分析,筛选出赭石的潜在特征代谢物,对赭石引起的代谢变化进行研究,为赭石的科学用药提供依据。结果表明,大鼠体内柠檬酸、牛磺酸、肌酸酐、α-酮戊二酸、琥珀酸、二甲基甘氨酸等代谢物浓度发生明显变化,随给药时间的变化出现恢复趋势,且恢复趋势与给药剂量相关,可作为赭石的潜在特征代谢物。给药2,5和10 g/ kg 体重剂量赭石降低了大鼠机体三羧酸循环能力,影响了能量、肌酸及二甲基甘氨酸的代谢,且10 g/ kg 体重剂量赭石对大鼠肝功能造成一定影响。     

基于人工智能技术的烟气暴露大鼠代谢生物标志物筛选方法研究

该研究将主成分分析、偏最小二乘判别分析等多元统计分析方法用于烟草血浆、尿液和肺组织代谢组学数据的分析,以揭示暴露于不同烟气中大鼠血浆、尿液和肺组织中内源性生物标志物的整体变化情况,筛选潜在生物标志物;将血样、尿样和肺组织代谢轮廓谱分析得到的生物标志物进行整合,运用神经模糊网络模型对标志物进行缩减,并用人工神经网络评价模型预测能力,确定烟气暴露不同时间(7,14,30 d)以及不同烟气暴露对大鼠内源性代谢物变化影响"因果效应"密切相关的关键生物标志物群,明确不同烟气对大鼠机体损伤机制的异同。     

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。     

非靶向代谢组学用于藜芦妨害人参治疗脾气虚的机制研究

采用超高效液相色谱串联四级杆飞行时间质谱( UPLC/Q-TOF-MS)联用技术,通过非靶向代谢组学方法分析大鼠尿液内源性代谢物的变化,研究藜芦妨害人参发挥药效作用的机制。建立脾气虚大鼠模型,连续给药15天,测定力竭游泳时间及血液中白细胞、红细胞、血红蛋白的含量。结果表明,人参可显著提高脾气虚模型大鼠的力竭游泳时间(p﹤0.01),升高白细胞、红细胞及血红蛋白含量(p﹤0.05,p﹤0.01),藜芦对脾气虚模型大鼠各项指标无明显影响(p>0.05),人参与藜芦配伍后对脾气虚模型大鼠各项指标均无显著影响(p>0.05),表明藜芦妨害了人参发挥药效作用。采用UPLC/Q-TOF-MS技术及非靶向代谢组学的方法分析了空白组、模型组、人参组、藜芦组、参藜组对脾气虚模型大鼠的尿液代谢组差异,其中主成分分析( PCA)得分图显示各组代谢轮廓有显著差别,并通过正交偏最小二乘法-判别分析( OPLS-DA)及数据库检索,鉴定出15种人参干预调节脾气虚模型大鼠的潜在生物标志物,从中找出了7种人参藜芦配伍后减弱人参上述干预作用的潜在生物标志物,并对其涉及的代谢通路进行了系统分析。上述研究结果表明,人参藜芦配伍后妨害了人参对脾气虚模型大鼠的治疗作用,其机理可能是影响人参对体内能量代谢、免疫平衡及氧化还原反应等相关代谢的调节。     

黄芪口服液降低大鼠顺铂毒性作用机制的尿液代谢组学研究

采用基于液相色谱-飞行时间质谱联用(LC-TOF-MS)技术的代谢组学方法,分析大鼠尿液内源性代谢物的变化,研究黄芪口服液(HO)降低大鼠顺铂(CDDP)毒性的作用机制.采用低剂量多次腹腔注射CDDP的方法建立CDDP染毒大鼠模型,并连续给予16天HO.于第18天收集正常对照(Control)组、顺铂模型(CDDP)组和黄芪口服液(HO)组大鼠的24 h尿液, 进行LC-TOF-MS分析,以获取尿液代谢物组数据集,对所得数据进行主成分分析(PCA)和正交偏最小二乘法-判别分析(OPLS-DA)等多元统计分析,以筛选潜在生物标志物.于第20天采集大鼠血清测定肌酐和尿素氮水平.血清指标测定结果表明, HO可以显著降低CDDP染毒大鼠的肌酐和尿素氮水平(p<0.05).PCA得分图显示,3组可分别聚类,HO组位于Control组和CDDP组中间,表明HO可部分改善CDDP所致大鼠尿液代谢产物的异常变化.综合OPLS-DA分析、t检验和倍数变化分析结果,最终共筛选并初步鉴定出35个尿液代谢产物作为HO减毒相关的潜在生物标记物.代谢通路分析结果表明,HO可通过纠正体内氨基酸代谢、能量代谢和核苷酸代谢等通路的紊乱,降低CDDP所致机体毒性.     

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.     

Metabolomic profiles delineate the effect of Sanmiao wan on hyperuricemia in rats

A serum metabolomic method based on ultra‐high‐performance liquid chromatography coupled with mass spectrometry was developed to characterize hyperuricemia‐related metabolic profiles and delineate the mechanism of Sanmiao wan (SMW), a traditional Chinese medicine (TCM), in treating hyperuricemic rats. With partial least‐squares discriminant analysis for classification and selection of biomarkers, 13 potential biomarkers in mouse serum were identified in the screen, primarily involved in purine metabolism, arginine and proline metabolism, citrate cycle, phenylalanine metabolism, tryptophan metabolism and glycerophospholipid metabolism. Taking these potential biomarkers as screening indexes, SMW could reverse the pathological process of hyperuricemia through partially regulating the perturbed metabolic pathway except for glycerophospholipid metabolism. Our results showed that a metabolomic approach offers a useful tool to identify hyperuricemia‐related biomarkers and provides a new methodological cue for systematically dissecting the underlying efficacies and mechanisms of TCM in treating hyperuricemia.     

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.     

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.     

Liquid chromatography/mass spectrometry for metabonomics investigation of the biochemical effects induced by aristolochic acid in rats: the use of information-dependent acquisition for biomarker identification

The toxic effects of oral administrations of nephrotoxic and carcinogenic aristolochic acid (AA) to male Sprague-Dawley rats were investigated by using high-performance liquid chromatography coupled with a quadrupole time-of-flight mass spectrometer. Analysis of the urine and plasma samples revealed distinct changes in the biochemical patterns in the AA-dosed rats. After peak finding and alignment, principal component analysis (PCA) and partial least-squares discriminant analysis (PLS-DA) were used for multivariate data analysis. Potential biomarkers were studied by high-resolution mass spectrometry (MS) and tandem mass spectrometry (MS/MS) analyses. The MS/MS spectra of all endogenous metabolites satisfying the pre-defined criteria were acquired in a single information-dependent acquisition (IDA) analysis, demonstrating that IDA was an efficient approach for structural elucidation in metabonomic studies. Citric acid and a glucuronide-containing metabolite were observed as potential biomarkers in rat urine. A significant increase in plasma creatinine concentration was also observed in the AA-dosed rats, which indicated that AA induced an adverse effect on the renal clearance function.     

A combination of metabolomics and metallomics studies of urine and serum from hypercholesterolaemic rats after berberine injection

Berberine, long used as a remedy in China and India for intestinal infections, has been discovered in recent years in western countries and is now being used to treat ailments ranging from urinary tract infections to diabetes and obesity. In order to study the effect of berberine more deeply, a combined metabolomic and metallomic approach was developed in this study using the hypercholesterolaemic rat model, which involved the use of proton nuclear magnetic resonance for the analysis of rat urine to achieve metabolic fingerprinting and inductively coupled plasma mass spectrometry for the analysis of rat blood serum to achieve metallomic fingerprinting. The results obtained indicated that major metabolic processes like Krebs cycle, cholesterol metabolism and osmoregulation in hypercholesterolaemic rats are perturbed upon berberine injection. In addition, the changes of some elements, such as V, Mn, Na and K, revealed in the metallomic study may contribute to the search of new biomarkers for hypercholesterolaemic disease. We concluded that both the metabolomic and metallomic profiles of berberine-treated hypercholesterolaemic rats were different from those of the control group and that the selected metabolites and elements could probably be applied as potential biomarkers for the understanding of the effect of berberine on biochemical process in the animal model. Such a multi-analytical approach will potentially provide an information-rich platform for the elucidation of effects of xenobiotics and drug efficacy studies.     

Nontargeted urine metabolomics analysis of the protective and therapeutic effects of Citri Reticulatae Chachiensis Pericarpium on high-fat feed-induced hyperlipidemia in rats

In this study, we focused on studying the changes in urine metabolites in hyperlipidemic rats using ultra-performance liquid chromatography coupled with quadrupole time-of-fight mass spectrometry (UPLC–Q-TOF/MS) and metabolomics, as well as the effect of Citri Reticulatae Chachiensis Pericarpium (CRCP) on hyperlipidemia. These urine samples were examined by UPLC–Q-TOF/MS to obtain MS data. The MS data were analyzed by principal component analysis and partial least squares-discriminant analysis to identify the differential metabolites. CRCP reduced the body weight and levels of triglycerides, total cholesterol and low-density lipoprotein cholesterol and abnormally decreased high-density lipoprotein cholesterol in hyperlipidemic rats, which were significantly raised by a high-fat diet. Twenty-seven potential biomarkers were identified within the complex sample matrix of urine. Fourteen biomarkers increased in the hyperlipidemia rats compared with normal rats. Meanwhile, 13 biomarkers decreased. CRCP reversed abnormal changes in biomarkers, including 5-l -glutamyl-taurine, 5-aminopentanoic acid, cis-4-octenedioic acid and 2-octenedioic acid. These biomarkers show that hyperlipidemia is related to the metabolic pathways of taurine and hypotaurine metabolism, fatty acid biosynthesis , and arginine and proline metabolism . CRCP mainly prevents hyperlipidemia by intervening in these metabolic pathways.     

基于气相色谱-飞行时间质谱技术的佐剂性关节炎大鼠尿液代谢组学的研究

采用弗氏完全佐剂(FCA)诱导佐剂性关节炎(AA)大鼠模型,观察大鼠足趾肿胀度和踝关节组织的病理学形态变化。应用气相色谱-飞行时间质谱(GC-TOF MS)技术检测AA大鼠尿液代谢物谱,并对数据进行主成分分析(PCA)、偏最小二乘法-判别分析(PLS-DA)及正交偏最小二乘法-判别分析(OPLS-DA),探讨可能的发病机制。通过变量重要性投影值(VIP>1)和P值(<0.05),筛选出尿液中的差异代谢物。在模型组大鼠的尿液中共发现异柠檬酸、α-酮戊二酸、柠康酸、肌酸、3-羟基丁酸等20种差异代谢物。推断AA代谢组学的发病机制可能与能量代谢、氨基酸代谢、脂肪酸代谢途径有关。