Establishing 1H nuclear magnetic resonance based metabonomics fingerprinting profile for spinal cord injury： a pilot study

Background Spinal cord injury （SCI） is a complex trauma that consists of multiple pathological mechanisms involving cytotoxic, oxidation stress and immune-endocrine. This study aimed to establish plasma metabonomics fingerprinting atlas for SCI using 1H nuclear magnetic resonance （NMR） based metabonomics methodology and principal component analysis techniques.Methods Nine Sprague-Dawley （SD） male rats were randomly divided into SCI, normal and sham-operation control groups. Plasma samples were collected for 1H NMR spectroscopy 3 days after operation. The NMR data were analyzed using principal component analysis technique with Matlab software.Results Metabonomics analysis was able to distinguish the three groups （SCI, normal control, sham-operation）. The fingerprinting atlas indicated that, compared with those without SCI, the SCI group demonstrated the following characteristics with regard to second principal component： it is made up of fatty acids, myc-inositol, arginine, very low-density lipoprotein （VLDL）, low-density lipoprotein （LDL）, triglyceride （TG）, glucose, and 3-methyl-histamine.Conclusions The data indicated that SCI results in several significant changes in plasma metabolism early on and that a metabonomics approach based on 1H NMR spectroscopy can provide a metabolic profile comprising several metabolite classes and allow for relative quantification of such changes. The results also provided support for further development and application of metabonomics technologies for studying SCI and for the utilization of multivariate models for classifying the extent of trauma within an individual.

Fingerprinting Analysis of Rhizoma Chuanxiong of Commercial Types using ~1H Nuclear Magnetic Resonance Spectroscopy and High Performance Liquid Chromatography Method

The ^1 H nuclear magnetic resonance （^1 H NMR） fingerprints of fractionated non-polar extracts （control substance for a plant drug （CSPD） A） from Rhizoma chuanxiong, the rhizomes of Ligusticum chuanxiong Hort., of seven specimens from different sources were measured on Fourier Transform （FT）-NMR spectrometer and assigned by comparing them with the ^1 H NMR spectra of the isolated pure compounds. The ^1 H NMR fingerprints showed exclusively characteristic resonance signals of the major special constituents of the plant. Although the differences in the relative intensity of the ^1H NMR signals due to a discrepancy in the ratio of the major constituents among these samples could be confirmed by high performance liquid chromatography analysis, the general features of the ^1H NMR fingerprint established for an authentic sample of the rhizomes of L. chuanxiong e. hibited exclusive data from those special compounds and can be used for authenticating L. Chuanxiong species.

Prediction of Vapor-Liquid Equilibria of Alcohol-Hydrocarbon Systems by ^1H NMR and Azeotropic Point

With the energy parameters obtained from1H nuclear magnetic resonance(NMR)chemical shifts data by local composition model and coupled with azeotropic point,the low-pressure vapor-liquid equilibrium is satisfactorily predicted for alcohol+hexane,alcohol+cyclohexane,and alcohol+benzene binary systems at different temperatures.The relationship between the spectroscopic information and thermodynamic property is presented.

Prediction of Metabolic Disorders Using NMR-Based Metabolomics:The Shanghai Changfeng Study

A metabolically healthy status,whether obese or not,is a transient stage with the potential to develop into metabolic disor-ders during the course of life.We investigated the incidence of metabolic disorders in 1078 metabolically healthy Chinese adults from the Shanghai Changfeng Study and looked for metabolites that discriminated the participants who would develop metabolic disorders in the future.Participants were divided into metabolically healthy overweight/obesity(MHO)and meta-bolically healthy normal weight(MHNW)groups according to their body mass index(BMI)and metabolic status.Their serum metabolomic profile was measured using a ^(1)H nuclear magnetic resonance spectrometer(^(1)H-NMR).The prevalence of diabetes,hypertriglyceridemia,hypercholesterolemia and metabolic syndrome was similar between the MHNW and MHO participants at baseline.After a median of 4.2 years of follow-up,more MHO participants became metabolically unhealthy than MHNW participants.However,a subgroup of MHO participants who remained metabolically healthy(MHO→MHO)had a similar prevalence of metabolic disorders as the MHNW participants at the follow-up examination,despite a signifi-cant reduction in their serum concentrations of high-density lipoprotein(HDL)and an elevation in valine,leucine,alanine and tyrosine.Further correlation analysis indicated that serum intermediate-density lipoprotein(IDL)and very low-density lipoprotein cholesterol(VLDL-CH)might be involved in the transition from metabolically healthy to unhealthy status and could be valuable to identify the MHNW and MHO with increased metabolic risks.