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。     

基于气相色谱-质谱联用技术的乙型肝炎血清代谢标志物的探究

探索了乙型肝炎患者和健康人血清代谢组的差异,寻找与疾病相关的潜在标志物。收集乙肝患者30例、健康对照35例,以气相色谱-质谱联用技术作为研究平台,应用主成分分析、正交偏最小二乘法-判别分析进行模式识别,然后通过变量重要性因子、非参数检验,结合数据库检索筛选鉴定有差异的代谢物。确认10个代谢物存在显著差异,其中柠檬酸、乌头酸、谷氨酰胺、N,N-二甲基甘氨酸、丙二酸与乙型肝炎患者组的相关性较好,受试者工作特征曲线下面积为0.975,具有较好的特异度和敏感度。因此这5个代谢物能够作为潜在的区分乙型肝炎患者和正常人的血清小分子标志物,有助于进一步了解病理机制,确定治疗目标。     

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。     

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。     

基于超高效液相色谱-四极杆飞行时间质谱研究柴胡郁金香颗粒的抗抑郁作用机理

采用超高效液相色谱-四极杆飞行时间质谱（Ultra-high performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry, UPLC-Q-TOF/MS）联用技术进行柴胡郁金香颗粒（Chaihuyujinxiang granules, CHYJX）治疗慢性不可预知温和应激（Chronic unpredictable mild stress, CUMS）结合孤养法致抑郁的模型小鼠的血浆代谢组学研究，以探寻CHYJX治疗抑郁症的作用机理，为CHYJX治疗抑郁症以及抑郁症临床治疗方案奠定理论基础。本研究共鉴定出小鼠血浆中1266种内源性代谢物，单变量统计分析结果表明，空白组与模型组之间以及模型组与CHYJX治疗组之间具有显著性差异代谢物。多维统计分析的主成分分析（Principal component analysis, PCA）表明，空白组、模型组以及CHYJX治疗组之间具有明显的差异趋势，正交偏最小二乘判别分析方法（Orthogonal partial least-sq...     

五味子治疗大鼠糖尿病肾病作用机制的血清代谢组学研究

采用基于超高效液相色谱与串联四级杆飞行时间质谱仪(Ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry,UPLC/Q-TOF-MS)联用技术的代谢组学方法,通过分析大鼠血清内源性代谢物的变化,研究五味子治疗糖尿病肾病的作用机制。利用高脂高糖饲料喂养并腹腔注射链脲佐菌素(STZ)建立糖尿病大鼠模型。给药12周后,采用试剂盒方法测定尿蛋白、尿肌酐的含量,结果表明五味子水提取物可以显著降低模型动物的尿蛋白含量(p<0.05),对糖尿病大鼠肾病并发症具有一定的改善作用。采用UPLC/Q-TOF-MS方法分析了五味子对糖尿病肾病大鼠的血清代谢轮廓,分析了健康组、模型组和五味子给药组的大鼠血清,采用偏最小二乘法-判别分析(Partial least squares discriminant analysis,PLS-DA)进行数据分析。PLS-DA得分图显示健康组、模型组和五味子组的代谢轮廓有显著差别,根据正交偏最小二乘法-判别分析(Orthogonal partial least squares discriminant analysis,OPLS-DA)载荷图筛选,将对各组分离贡献大的化合物的串联质谱分析数据,经Human Metabolome Database(HMDB)等数据库检索,进行质谱信息匹配,鉴定出黄尿酸、油酰胺、棕榈酰胺、尿酸、5-羟基己酸、硫酸对甲酚、对甲酚葡萄糖苷酸7种内源性代谢物为生物标记物。研究结果表明五味子通过影响色氨酸代谢、嘌呤代谢、肠内菌代谢、脂肪酸代谢等通路对糖尿病肾病发挥治疗作用,其中嘌呤代谢、肠内菌代谢通路可能是五味子发挥治疗作用的重要途径。     

松花粉干预卵巢早衰大鼠肝脏的广泛靶向代谢组学分析

卵巢早衰是妇科领域的常见病,中医认为卵巢早衰与肝肾的正常与否息息相关,通过药食两用物质对肝脏代谢的调理是治疗卵巢早衰的一种重要手段。该研究基于超高效液相色谱-三重四极杆质谱(UHPLC-MS/MS)建立的广泛靶向代谢组学技术,探讨破壁松花粉对环磷酰胺诱导的卵巢早衰模型大鼠肝脏代谢的影响,旨在通过测定对照组、模型组、雌激素阳性对照组及施以不同剂量的松花粉干预组的SD大鼠肝脏组织中代谢物的含量变化,结合主成分分析(PCA)、正交偏最小二乘判别分析(OPLS-DA)等多元统计方法揭示松花粉干预卵巢早衰大鼠肝脏代谢的作用机制。通过正、负离子模式共检测出687种肝脏代谢物,PCA与OPLS-DA显示环磷酰胺诱导的模型组能够与对照组、阳性对照组、松花粉干预组等组别之间的代谢物较好的分离。通过单变量分析中的t检验(p<0.05)、变异倍数(FC>2或<0.5)与多变量分析中变量投影重要性(VIP值)>1相结合对差异代谢物进行筛选。与对照组相比,模型组SD大鼠肝脏中的32个生物标志物含量显著升高,28个生物标志物含量显著降低,主要涉及α-亚麻酸代谢、维生素B6代谢、嘌呤代谢、赖...     

核磁共振技术测试不同性别大鼠尿液代谢物的研究

采用核磁共振波谱技术测试不同性别大鼠尿液代谢物,分析性别因素对大鼠尿液代谢成分的影响.大鼠尿液核磁共振氢谱（1HNMR谱）结果采用主成分分析（principal component analysis,PCA）和正交偏最小二乘判别分析（orthogonal to partial least squares discriminant analysis,OPLS-DA）方法分析,得到不同性别大鼠尿液中的差异性代谢物.PCA分析结果显示2组尿液代谢成分有明显的差异,进一步进行OPLS-DA分析可以判别出2组尿液中具有差异性的代谢物.结果显示,雌性大鼠尿液中的丙氨酸、缬氨酸、鸟氨酸等氨基酸类以及乙酸、硫胺、氨基马尿酸、苯乙胺、氧氨嘧啶等代谢物含量高于雄性大鼠,差异有统计学意义（p〈0.05）.雄性大鼠尿液中的甲胺、二甲胺、三甲胺、肌酸酐、尿囊素、延胡索酸、甲酸等代谢物则明显高于雌性大鼠,差异有统计学意义（p〈0.05）.性别因素对大鼠尿液中的代谢成分有一定的影响.     

基于代谢组学研究橙黄决明素对高脂血症大鼠的调脂作用

本文运用代谢组学的研究方法,考察橙黄决明素对高脂血症大鼠血液内源性代谢物的影响,并寻找相关生物标志物。采用高脂饲料喂养的方法建立高脂血症大鼠模型,给予橙黄决明素灌胃治疗。利用气相色谱-质谱(GC-MS)联用技术分析高脂血症大鼠血浆中的代谢物,并使用主成分分析、偏最小二乘-判别分析和随机森林算法,研究大鼠样本在造模前后及橙黄决明素治疗后血浆内源性代谢物的变化情况,结果得到丙氨酸、甘氨酸、L-缬氨酸、异亮氨酸、富马酸、丝氨酸、1,5-脱水山梨醇、亚油酸、硬脂酸和胆固醇10种潜在的生物标志物。研究表明橙黄决明素主要通过影响机体氨基酸及脂肪酸的代谢,从而产生较理想的调脂作用。     

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。     

黄芪黄酮干预脾虚水湿不化大鼠血浆代谢组学研究

采用高效液相色谱结合飞行时间质谱检测正常大鼠、脾虚水湿不化证大鼠及黄芪黄酮组分干预后大鼠血浆内源性代谢物变化,获取大鼠血浆代谢图谱,研究黄芪黄酮组分干预脾虚水湿不化证的作用机制.采用高脂低蛋白饮食加负重游泳力竭建立脾虚水湿不化证大鼠模型,选择Halo C18色谱柱,流动相为0.05％甲酸-水与0.05％甲酸-乙腈,梯度洗脱,利用液相色谱-串联质谱分析测定大鼠血浆样品.利用主成分分析法对造模前后大鼠血浆样本进行代谢轮廓分析,结合变量投影重要性及显著性分析等筛选对分组贡献最大的差异标志物及相关通路,阐明药物的作用机制.结果表明, 黄芪黄酮组代谢轮廓异于模型组,而接近于正常组,共鉴定出了包含甘油磷脂类、鞘酯类、氨基酸类等在内的11种潜在生物标志物,其代谢通路包括三羧酸循环、甘油磷脂代谢、脂肪酸代谢及氨基酸代谢等,主要涉及体内能量代谢和脂肪代谢.黄芪黄酮干预脾虚水湿不化证大鼠后, 宏观指标(如体重、自主活动)和微观指标(如代谢标志物、血脂)均明显回调,表明黄芪黄酮可能主要通过调节能量代谢、脂肪代谢等途径而发挥健脾利水作用.     

Effects of Tao‐Hong‐Si‐Wu decoction on acute blood stasis in rats based on a LC‐Q/TOF‐MS metabolomics and network approach

A novel approach using metabolomics coupled with a metabolic network was used to investigate the effects of Tao‐Hong‐Si‐Wu decoction (THSWD) on the rat model of acute blood stasis syndrome. Acute blood stasis syndrome was induced by placing the rats in ice‐cold water following two injections with epinephrine. The hemorheological indicators [whole blood viscosity (WBV) and plasma viscosity (PV)] and the blood coagulation indicators [thrombin time (TT), prothrombin time (PT), activated partial thromboplastin time (APTT) and fibrinogen (FIB)] were detected. The nonparametric univariate method and multivariate statistical analysis were performed for determining the potential biomarkers. A correlation map was structured between biochemical indicators and hub metabolites to explain the effects mechanism of THSWD. After the administration of THSWD, the levels of WBV, PV, TT, APTT and FIB returned to levels observed in the control group. According to metabolomics coupled with metabolic network analysis, the intervention of THSWD in rats with acute blood stasis syndrome induced substantial and characteristic changes in their metabolic profiles. Fifteen metabolites were screened, which mainly involved 10 pathways and five hub metabolites, namely, l ‐glutamate, l ‐phenylalanine, N‐acylsphingosine, arachidonic acid and phosphatidate. The biochemical indicators and hub metabolites could be adjusted to close to normal levels by THSWD. Therefore, combining metabolomics and metabolic network helped to evaluate the effects of THSWD on acute blood stasis.     

Urinary biomarker and treatment mechanism of Rhizoma Alismatis on hyperlipidemia

Rhizoma Alismatis (RA), a diuretic in Asia and Europe, was found to possess anti‐hyperlipidemic activity. Since the biomarkers and mechanisms of RA in the treatment of hyperlipidemia are inadequate, ultra‐performance liquid chromatography coupled with quadrupole time‐of‐flight synapt high‐definition mass spectrometry and multivariate data analysis were employed to investigate the urinary metabolomics of RA on hyperlipidemic rats induced by high‐fat diet. The metabolic profile of RA‐treated hyperlipidemic group located between control and diet‐induced hyperlipidemic groups. Nineteen metabolites with significant fluctuations were identified as potential biomarkers related to the hyperlipidemia and anti‐hyperlipidemia of RA using partial least‐squares‐discriminate analysis, heatmap analysis and correlation coefficient analysis. The fluctuations of these biomarkers represented disturbances in amino acid metabolism, purine metabolism, pyrimidine metabolism and energy metabolism. After RA treatment, these perturbed metabolites were restored to normal or nearly normal levels. RA can alleviate high‐fat diet‐induced dysfunctions in these metabolic pathways.     

Metabolomics analysis of the therapeutic mechanism of Semen Descurainiae Oil on hyperlipidemia rats using 1H‐NMR and LC–MS

Semen descurainiae oil (SDO) is an important traditional Chinese medicine that was recently discovered to have the function of reducing blood lipids. Metabolomics analyses of plasma, liver and kidney in rats were performed using ¹H‐NMR and LC–MS to illuminate the lower blood lipid concentration effect of SDO, and niacin was considered as the active control. The measure of total cholesterol (TC) and low‐density‐lipoprotein cholesterol (LDL‐C) in plasma showed that SDO treatment decreased significantly the content of TC and LDL‐C. An orthogonal partial least squares–discriminant analysis approach was applied to identify the different metabolic profiles of plasma, liver and kidney in rats and to detect related potential biomarkers. The results suggested that the metabolic profiles of the control group and hyperlipidemia group showed significant difference and the SDO and niacin group had effective anti‐hyperlipidemia function. The biomarkers primarily concern lipid metabolism, amino acid metabolism and glycometabolism, and the change in biomarkers indicated that hyperlipidemia could cause the unbalance of these metabolic pathways in vivo. SDO reduced blood lipids by repairing amino acid and lipid metabolism.     

Metabolic characterization of the early stage of hepatic fibrosis in rat using GC‐TOF/MS and multivariate data analyses

The aim of this study was to explore the changes in the urine metabolic spectrum in rats with the early stage of liver fibrosis using gas chromatography–time of flight/mass spectrometry (GC‐TOF/MS), try to search for potential biomarkers and elucidate the probably metabonomic pathogenesis. The early stage of liver fibrosis was established with a single subcutaneous injection of carbon tetrachloride twice each week for 4 weeks continuously. At the end of the experiment, GC‐TOF/MS technology with multivariate statistical approaches such as principal component analysis, partial least squares‐discriminant analysis and orthogonal partial least squares‐discriminant analysis was used to analyze the changes in the metabolic spectrum trajectory and identify potential biomarkers. Twelve potential biomarkers in the model group, such as succinic acid, threonine and lactose, were selected, which indicate that the metabonomic pathogenesis of the early stage of liver fibrosis may be related to disorders of energy metabolism, amino acid metabolism and fatty acid metabolism.     

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.     

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.     

基于液相色谱-质谱联用技术的代谢组学方法用于中药通心络和人参对过度疲劳大鼠干预作用的评价

用代谢组学方法评价了中药通心络和人参对过度疲劳大鼠的干预作用.通过构造大鼠过度疲劳模型,并分别用通心络和人参进行干预,采用快速液相色谱-离子阱飞行时间质谱(UFLC-IT-TOF-MS)获取大鼠血浆代谢轮廓,并用正交偏最小二乘法(OPLS)进行多变量统计分析,分别找出用于区分通心络和人参干预组大鼠同正常对照大鼠、过度疲...