A biomarker for severity of Alzheimer’s disease: 1H-NMR resonances in cerebrospinal fluid correlate with performance in mini-mental-state-exam

Context: There is no valid biomarker for severity of Alzheimer’s disease (AD) available until now.

Objective: Therefore, we investigated ¹H-NMR spectroscopy for specific resonances as biomarkers for severity of AD.

Materials and methods: Cerebrospinal fluid (CSF) of patients with diagnosed AD and healthy control subjects was analysed by one-dimensional water-suppressed ¹H-NMR spectroscopy. The resonances were correlated with the cognitive performance of the patients and controls.

Results: Specific ¹H-NMR resonances showed higher intensities in AD patients than in control subjects. Mini-mental-state-exam scores correlated with ¹H-NMR resonances in AD patients.

Discussion and conclusion: ¹H-NMR resonances of CSF are obviously valid biomarker for severity of AD, despite the lack of knowledge of the underlying molecular structure. Successful isolation and identification of these substances will most likely provide details to the pathophysiology of AD.     

系统生物学在认知功能障碍研究中的应用

认知功能障碍可导致患者日常生活能力、社会适应能力明显下降,严重影响患者的生活质量。根据近年来众多研究显示,认知功能障碍的发生发展与基因、蛋白质、微生物等内环境因素的失调和紊乱有关。基于系统生物学的研究,梳理了近年来国内外研究学者在代谢组学、蛋白质组学、基因组学和肠道微生物组学层面对认知功能障碍的研究,并对系统生物学在认知功能障碍中的应用前景进行了展望,以期为认知功能障碍相关研究提供参考。     

Development of a multivariate statistical model to predict peroxisome proliferation in the rat,based on urinary 1H-NMR spectral patterns

A previous report of this work (Ringeissen et al. 2003) described the use of nuclear magnetic resonance (NMR) spectroscopy coupled with multivariate statistical data analysis (MVDA) to identify novel biomarkers of peroxisome proliferation (PP) in Wistar Han rats. Two potential biomarkers of peroxisome proliferation in the rat were described, N-methylnicotinamide (NMN) and N-methyl-4-pyridone-3-carboxamide (4PY). The inference from these results was that the tryptophan-nicotinamide adenine dinucleotide (NAD⁺) pathway was altered in correlation with peroxisome proliferation, a hypothesis subsequently confirmed by TaqMan® analysis of the relevant genes encoding two key enzymes in the pathway, aminocarboxymuconate-semialdehyde decarboxylase (EC 4.1.1.45) and quinolinate phosphoribosyltransferase (EC 2.4.2.19). The objective of the present study was to investigate these data further and identify other metabolites in the NMR spectrum correlating equally with PP. MVDA Partial Least Squares (PLS) models were constructed that provided a better prediction of PP in Wistar Han rats than levels of 4PY and NMN alone. The resulting Wistar Han rat predictive models were then used to predict PP in a test group of Sprague Dawley rats following administration of fenofibrate. The models predicted the presence or absence of PP (above on arbitrary threshold of >2-fold mean control) in all Sprague Dawley rats in the test group.     

气相色谱-质谱联用技术及其在代谢组学中的应用

代谢组学是以高通量、高灵敏度、高分辨率的现代仪器分析方法为手段,对细胞、体液、组织中所有代谢物进行无偏向的定性与定量分析的一门学科。气相色谱-质谱联用技术具有较高的检测灵敏度和鉴定准确度,通过标准谱图库的比对可对代谢物进行快速的鉴定,因此被广泛应用于生物样品的代谢产物的检测中。文中对近年来气相色谱-质谱联用技术的发展以及在代谢组学研究中取得的成果进行了综述。首先介绍了气相色谱-质谱联用技术的分类和常用的样品衍生化方法;继而从样品预处理、定性与定量分析、数据分析三方面介绍了气相色谱-质谱联用技术分析代谢物的方法,并系统地对该技术在微生物、植物、疾病诊断领域的应用实例进行了评述;最后提出了当前气相色谱-质谱联用技术在代谢组学研究中存在的问题并对后续的研究进行了展望。     

代谢组学及其在环境毒理学中的应用

代谢组学作为系统生物学的一部分,因其具有分析速度快的特点,被广泛用于生物医学等方面的研究。目前代谢组学在环境毒理学方面的研究主要针对单一污染物,但也需要考虑到被污染地的复杂情况。通过介绍代谢组学及其发展历程,总结了目前主流代谢组学技术的各自特点,讨论了代谢组学在环境重金属、有机污染物和抗生素中的毒性评估以及环境胁迫耐受性中的评价等方面内容,综述了其在环境毒理学中的应用,并指出其应用不足,旨在为代谢组学应用于环境毒理学的研究提供参考。     

小鼠负重游泳后血清代谢模式变化分析

目的：研究小鼠负重游泳导致疲劳过程中血清代谢模式改变,为营养抗疲劳研究提供依据。方法：雄性昆明小鼠,随机分为4组,以AIN-93饲料喂养14 d,分别接受0（正常对照）、30、601、20 min等不同时间的尾部负重游泳,游泳后处死小鼠,分离血清进行代谢组分析。采用驰豫编辑脉冲序列（CPMG）和扩散编辑脉冲序列（LED）采集血清样本的数据,经傅立叶变换得到1H NMR谱图,SIMCA-P＋软件进行主成分分析。结果：游泳后小鼠血清代谢组发生显著改变,较正常对照组升高的化合物有β-羟基丁酸、乙酸、乳酸、脂类物质等,降低的化合物有葡萄糖、胆碱、磷酸胆碱、丙氨酸、磷脂酰胆碱等,随游泳时间延长变化趋势相应逐渐增大。结论：小鼠游泳后血清代谢模式产生一些规律性变化,其中脂肪代谢相关物质变化较为显著,针对胆碱类物质在脂肪代谢中的作用开展研究对于揭示疲劳过程本质及其机制具有一定意义。     

A strategy for modelling dynamic responses in metabolic samples characterized by GC/MS

A multivariate strategy for studying the metabolic response over time in urinary GC/MS data is presented and exemplified by a study of drug-induced liver toxicity in the rat. The strategy includes the generation of representative data through hierarchical multivariate curve resolution (H-MCR), highlighting the importance of obtaining resolved metabolite profiles for quantification and identification of exogenous (drug related) and endogenous compounds (potential biomarkers) and for allowing reliable comparisons of multiple samples through multivariate projections. Batch modelling was used to monitor and characterize the normal (control) metabolic variation over time as well as to map the dynamic response of the drug treated animals in relation to the control. In this way treatment related metabolic responses over time could be detected and classified as being drug related or being potential biomarkers. In summary the proposed strategy uses the relatively high sensitivity and reproducibility of GC/MS in combination with efficient multivariate curve resolution and data analysis to discover individual markers of drug metabolism and drug toxicity. The presented results imply that the strategy can be of great value in drug toxicity studies for classifying metabolic markers in relation to their dynamic responses as well as for biomarker identification.     

Plasma phospholipid metabolic profiling and biomarkers of mouse IgA nephropathy

IgA nephropathy is the most common form of glomerulonephritis (GN) and it could progress to end-stage renal failure within 10 years. Participating in biological processes in various pathways, phospholipids as a class of important constituents in the biomembranes have been paid increasing attention in many fields. However, phospholipids metabolism in glomerular disease was not clear, especially in IgA nephropathy. In this paper, the plasma phospholipid metabolic profile in mouse IgA nephropathy was investigated to discover the potential biomarkers on the progression of this disease by using high performance liquid chromatography/mass spectrometry (HPLC/MS) and the principal components analysis (PCA) as well as partial least squares-discriminant analysis (PLS-DA). The experimental mouse models of IgA nephropathy were established by oral immune and BSA injection. It was found that expression of intercellular adhesion molecule-1 (ICAM-1) in the glomeruli had a significant correlation with proteinuria in mouse IgA nephropathy. The association between plasma phospholipids and expression of ICAM-1 in the glomeruli of IgA nephropathy suggested C18:0/C18:0 PS (phosphatidylserine), C18:0/C22:5 PS (phosphatidylserine) and C18:0/C20:4 PI (phosphatidylinositol) were possible biomarkers of IgA nephropathy. The results show that the plasma phospholipid metabolic profiles from HPLC/MS combining with PCA and PLS-DA can be used not only to differentiate the IgA nephropathy from the controls, but also to discover and identify the potential biomarkers.     

代谢组学在临床研究中的应用及进展

代谢组学是"后基因组学"时期新兴的一门学科,也是系统生物学的重要组成部分。代谢组学通过全面、定量检测生物样本中多种类型小分子化合物,来了解在内在和外界因素作用下生物体内源性物质的变化及规律,特别适合于临床上研究机体因受到遗传、生长、生理、环境因素和异物、病源等刺激的影响而产生的变化。借助于代谢组学技术不仅能够描述疾病发生、发展以及治疗过程中机体代谢机能的状态和变化,为临床疾病的诊断、病理机制的探索、新治疗靶点的发现等提供新的途径和思路,还可以揭示外界干扰因素(药物/毒物、环境、饮食、生活方式等)对机体的影响,为药效评价和疾病病因的筛查提供基础数据。近年来,代谢组学在临床研究方面得到了广泛的应用,取得了巨大的进展并展现了鼓舞人心的应用前景。该文分别就代谢组学在描述疾病发展状态、研究疾病诊断方法、探索疾病发病原因和发病机理、药效学评价等几个方面的应用及进展进行回顾和综述。