CN102323285A - Method for analyzing NMR (Nuclear Magnetic Resonance) metabonomics detection data - Google Patents

Method for analyzing NMR (Nuclear Magnetic Resonance) metabonomics detection data Download PDF

Info

Publication number
CN102323285A
CN102323285A CN201010545353A CN201010545353A CN102323285A CN 102323285 A CN102323285 A CN 102323285A CN 201010545353 A CN201010545353 A CN 201010545353A CN 201010545353 A CN201010545353 A CN 201010545353A CN 102323285 A CN102323285 A CN 102323285A
Authority
CN
China
Prior art keywords
analysis
nmr
carrying
spectrogram
pls
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201010545353A
Other languages
Chinese (zh)
Inventor
刘瑜
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
SHANGHAI CLUSTER BIOTECH CO Ltd
Original Assignee
SHANGHAI CLUSTER BIOTECH CO Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by SHANGHAI CLUSTER BIOTECH CO Ltd filed Critical SHANGHAI CLUSTER BIOTECH CO Ltd
Priority to CN201010545353A priority Critical patent/CN102323285A/en
Publication of CN102323285A publication Critical patent/CN102323285A/en
Pending legal-status Critical Current

Links

Images

Landscapes

  • Investigating Or Analysing Biological Materials (AREA)

Abstract

The invention provides a method for analyzing NMR (Nuclear Magnetic Resonance) metabonomics detection data and belongs to the field of biotechnology. The method mainly comprises the following processes of: step 1, obtaining a spectrogram by an NMR detection technology and processing the spectrogram; step 2, carrying out cluster analysis on a sample and drawing a sample cluster analysis column diagram; step 3, carrying out principal component analysis (PCA); step 4, carrying out partial least squares discriminant analysis (PLS-DA) and verifying a model; step 5, carrying out orthogonal partial least squares discriminant analysis (OPLS-DA); and step 6, identifying difference metabolites and carrying out correlation analysis between the metabolites. The method has the advantage of providing a novel approach for analyzing the spectrogram obtained by the NMR metabonomics detection.

Description

A kind of NMR metabolism group detects the analytical approach of data
Technical field
The invention belongs to biological technical field, relate to the data analysis aspect of the metabolism group detection of NMR (nuclear magnetic resonance), provide a kind of NMR metabolism group to detect the analytical approach of data.
Background technology
NMR (Nuclear Magnetic Resonance) is a nuclear magnetic resonance.Be the non-vanishing atomic nucleus of magnetic moment, Cai Man division, the physical process of the radio-frequency radiation of the certain frequency of resonance absorption take place in outside magnetic field effect spin energy level down.Nuclear magnetic resonance spectroscopy is a branch of spectroscopy, and its resonant frequency is in radio-frequency range, and corresponding transition is the transition of nuclear spin on nuclear Cai Man energy level.Nuclear magnetic resonance is suitable for liquid, solid.High resolution technique of today also has been used for nuclear-magnetism the research of semisolid and micro-example.Nuclear magnetic spectrogram develops into two dimension of today (2D), three-dimensional (3D) even four-dimensional (4D) spectrogram from the one dimension spectrogram (1D) in past, and they show molecular structure and intermolecular relation more clear.
Many universities, research institution and group of enterprises in the world can hear this noun of nuclear magnetic resonance, comprise the large group that we are familiar with in daily life.And it is increasingly extensive in chemical industry, oil, rubber, building materials, food, metallurgy, geology, national defence, environmental protection, weaving and other industrial sector purposes.
In China, mainly aspect fundamental research, enterprise and commercial application popularity rate are not high in its application, and main cause is that product development is not enough, use cost is higher.But use more in petrochemical complex, medical diagnostic method.The second half in 20th century; NMR technology and instrument development are very fast; From permanent magnetism to the superconduction, the magnetic field difference of the NMR spectrometer magnet from 60MHz to 800MHz improved 15 times in few per 5 years, and peculiar function promoted on organic structural analysis and medical diagnosis by NMR for this.NMR has become the analytic routines means of testing in the organic chemistry research now, and same, MRI in medical treatment (NMR imaging instrument device) also becomes the diagnostic means of some disease.
The invention provides the analytical approach that a kind of NMR metabolism group detects data.
Summary of the invention
The purpose of this invention is to provide the analytical approach that a kind of NMR metabolism group detects data.This method provides new way for the NMR metabolism group detects the data analysis that is obtained.For the characteristic of this method better is described, the present invention will explain its practical implementation process with an instantiation.This instance is to adopt rat urine, ight soil and tissue extract, carries out the NMR metabolism group and detects, and obtains original data.
Step 1, the NMR detection technique obtains spectrogram, and spectrogram is handled;
Step 2, sample cluster analysis histogram is drawn in the sample cluster analysis;
Step 3, major component (PCA) is analyzed;
Step 4, PLS, discriminatory analysis (PLS-DA) reaches verification of model;
Step 5, quadrature PLS, discriminatory analysis (OPLS-DA);
Step 6, the evaluation of difference metabolin, and correlation analysis between metabolin.
The invention has the advantages that:, a kind of new way is provided for the NMR metabolism group detects the spectrum analysis that obtains.
Description of drawings
Fig. 1.A kind of NMR metabolism group according to the invention detects the implementing procedure figure of data analysing method
Embodiment
According to the invention, a kind of NMR metabolism group detects the analytical approach of data, and the present invention adopts rat urine, ight soil and tissue extract, and carrying out the check and analysis of NMR metabolism group is instance, explains that this method gets the practical implementation step:
Step 1, the NMR detection technique obtains spectrogram, and spectrogram is handled;
(V3.0, Bruker Biospin Germany) have carried out Fourier transform to spectrogram to use TopSpin software; The phase place adjustment; Baseline correction, and calibration to wait processing, all spectrograms when carrying out Fourier transform, all to multiply by the broadening factor be that the window index function of 1Hz is with the raising signal to noise ratio (S/N ratio).
Step 2, sample cluster analysis histogram is drawn in the sample cluster analysis;
Use biostatistics software SPSS Statistics 17.0 to carry out the cluster analysis of sample, thereby the overall information of sample is carried out integral body assurance.
Step 3, major component (PCA) is analyzed;
(Umea Sweden) carries out the pattern-recognition multivariable analysis to the data after the normalization for V11.0, Umetrics AB, and the data scale conversion mode of centralization conversion (mean center scaling) is used in principal component analysis (PCA) to use SIMCA-P+ software.
Step 4, PLS, discriminatory analysis (PLS-DA) reaches verification of model;
(Umea Sweden) carries out PLS (PLS) to the data after the normalization and finds the correlationship between NMR data (X variable) and other variable (Y variable, grouping information) for V11.0, Umetrics AB to use SIMCA-P+ software.PLS-discriminatory analysis (PLS-DA) is used from the data scale conversion mode of fitting convert (unit variancescaling).PLS-DA carries out the cross validation check to the quality of model with house one method, and with R2X that obtains behind the cross validation and Q2 (the measurable degree of explainable variable of representative model and model respectively) model validity is passed judgment on.After this, through arrange experiment at random repeatedly (n=200) change putting in order of classified variable y and obtain corresponding different random Q 2 values model validity is done further check.
Step 5, quadrature PLS, discriminatory analysis (OPLS-DA).
The PLS-DA model is carried out quadrature correction process (OPLS-DA); Use SIMCA-P+ software (V11.0, Umetrics AB, Umea; Sweden) carry out quadrature PLS-discriminatory analysis (OPLS-DA), highlight the difference between the inner different groups of model substantially.OPLS-DA uses from the data scale conversion mode of fitting convert (unit variancescaling).
Step 6, the evaluation of difference metabolin, and correlation analysis between metabolin.
Through analysis,, the metabolin that statistical significance is arranged is further concluded through analyzing the corresponding related coefficient of each metabolin to OPLS-DA.In related coefficient figure, with the multiply each other conversion of recalling of laggard line data of the square root of the loading value of each variable and its standard deviation.Compare with corresponding related coefficient tables of critical values then, obtain causing the metabolin of group difference.Carry out the HPCA analysis with the various organs of control group and high dose group and the analysis integrated data of PCA of body fluid metabolic group, thereby obtain between the sample metabolin of the same race and the correlativity between the different sample metabolin.
This method gets characteristic: this method is analyzed NMR metabolism group detection data a kind of new approaches is provided.
More than be the description of this invention and non-limiting, based on other embodiment of inventive concept, all among protection scope of the present invention.

Claims (1)

1. a NMR metabolism group detects the analytical approach of data, it is characterized in that this method includes following steps:
Step 1, the NMR detection technique obtains spectrogram, and spectrogram is handled;
Step 2, sample cluster analysis histogram is drawn in the sample cluster analysis;
Step 3, major component (PCA) is analyzed;
Step 4, PLS, discriminatory analysis (PLS-DA) reaches verification of model;
Step 5, quadrature PLS, discriminatory analysis (OPLS-DA);
Step 6, the evaluation of difference metabolin, and correlation analysis between metabolin.
CN201010545353A 2010-11-15 2010-11-15 Method for analyzing NMR (Nuclear Magnetic Resonance) metabonomics detection data Pending CN102323285A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201010545353A CN102323285A (en) 2010-11-15 2010-11-15 Method for analyzing NMR (Nuclear Magnetic Resonance) metabonomics detection data

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201010545353A CN102323285A (en) 2010-11-15 2010-11-15 Method for analyzing NMR (Nuclear Magnetic Resonance) metabonomics detection data

Publications (1)

Publication Number Publication Date
CN102323285A true CN102323285A (en) 2012-01-18

Family

ID=45451070

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201010545353A Pending CN102323285A (en) 2010-11-15 2010-11-15 Method for analyzing NMR (Nuclear Magnetic Resonance) metabonomics detection data

Country Status (1)

Country Link
CN (1) CN102323285A (en)

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103558354A (en) * 2013-11-15 2014-02-05 南京大学 Water toxicity analysis method based on biologic omics integrated technology
CN104615903A (en) * 2015-02-16 2015-05-13 厦门大学 Model adaptive NMR (nuclear magnetic resonance) metabonomics data normalization method
CN105548233A (en) * 2015-10-30 2016-05-04 中国科学院武汉物理与数学研究所 Method for discriminating acacia honey and rape honey on basis of H-nuclear magnetic resonance
CN105806871A (en) * 2016-03-15 2016-07-27 中国科学院亚热带农业生态研究所 Metabonomics method for meat quality evaluation
WO2017100879A1 (en) * 2015-12-18 2017-06-22 Universidade Estadual De Campinas - Unicamp Method for identifying biomarkers for serious mental diseases by nuclear magnetic resonance (nmr) and chemometrics, and use thereof
CN107133448A (en) * 2017-04-10 2017-09-05 温州医科大学 A kind of metabolism group data fusion optimized treatment method
CN107167617A (en) * 2017-05-26 2017-09-15 山东师范大学 Identify IC50Methods of the vitamin C to RAW264.7 and K562 Cell differentials marks
CN107727680A (en) * 2017-11-22 2018-02-23 河南省农业科学院农业质量标准与检测技术研究所 A kind of method for differentiating Organic Apple and typical apple based on NMR metabonomic technologies
CN107941839A (en) * 2017-11-22 2018-04-20 河南省农业科学院农业质量标准与检测技术研究所 A kind of method for differentiating strawberry cultivars based on NMR metabonomic technologies
CN108426910A (en) * 2018-03-08 2018-08-21 宁波大学 A method of it is pathogenic whether identification Vibrio harveyi has
CN108872293A (en) * 2018-08-10 2018-11-23 厦门大学 A kind of metabonomic analysis of Alveolar echinococcosis and the construction method of preliminary screening model
CN109827985A (en) * 2019-04-02 2019-05-31 长春中医药大学 It is a kind of based on NMR metabolism group to the discrimination method of maca different cultivars

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1831515A (en) * 2006-04-03 2006-09-13 浙江大学 Method for nondistructive discriminating crop seed variety using visible light and near-infrared spectrum technology
CN101339150A (en) * 2007-11-19 2009-01-07 冯新泸 Method for determining octane number based on dielectric spectra technology
CN101813680A (en) * 2010-04-08 2010-08-25 中国药科大学 Method for quantitatively evaluating medicament toxicity by using metabonomic technology

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1831515A (en) * 2006-04-03 2006-09-13 浙江大学 Method for nondistructive discriminating crop seed variety using visible light and near-infrared spectrum technology
CN101339150A (en) * 2007-11-19 2009-01-07 冯新泸 Method for determining octane number based on dielectric spectra technology
CN101813680A (en) * 2010-04-08 2010-08-25 中国药科大学 Method for quantitatively evaluating medicament toxicity by using metabonomic technology

Cited By (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103558354B (en) * 2013-11-15 2015-07-15 南京大学 Water toxicity analysis method based on biologic omics integrated technology
CN103558354A (en) * 2013-11-15 2014-02-05 南京大学 Water toxicity analysis method based on biologic omics integrated technology
US10041118B2 (en) 2013-11-15 2018-08-07 Nanjing University Method for analyzing water toxicity
CN104615903A (en) * 2015-02-16 2015-05-13 厦门大学 Model adaptive NMR (nuclear magnetic resonance) metabonomics data normalization method
CN104615903B (en) * 2015-02-16 2017-05-03 厦门大学 Model adaptive NMR (nuclear magnetic resonance) metabonomics data normalization method
CN105548233A (en) * 2015-10-30 2016-05-04 中国科学院武汉物理与数学研究所 Method for discriminating acacia honey and rape honey on basis of H-nuclear magnetic resonance
WO2017100879A1 (en) * 2015-12-18 2017-06-22 Universidade Estadual De Campinas - Unicamp Method for identifying biomarkers for serious mental diseases by nuclear magnetic resonance (nmr) and chemometrics, and use thereof
CN105806871A (en) * 2016-03-15 2016-07-27 中国科学院亚热带农业生态研究所 Metabonomics method for meat quality evaluation
CN105806871B (en) * 2016-03-15 2017-06-20 中国科学院亚热带农业生态研究所 A kind of metabolism group method of meat analysis
CN107133448A (en) * 2017-04-10 2017-09-05 温州医科大学 A kind of metabolism group data fusion optimized treatment method
CN107133448B (en) * 2017-04-10 2020-05-01 温州医科大学 Metabonomics data fusion optimization processing method
CN107167617A (en) * 2017-05-26 2017-09-15 山东师范大学 Identify IC50Methods of the vitamin C to RAW264.7 and K562 Cell differentials marks
CN107727680A (en) * 2017-11-22 2018-02-23 河南省农业科学院农业质量标准与检测技术研究所 A kind of method for differentiating Organic Apple and typical apple based on NMR metabonomic technologies
CN107941839A (en) * 2017-11-22 2018-04-20 河南省农业科学院农业质量标准与检测技术研究所 A kind of method for differentiating strawberry cultivars based on NMR metabonomic technologies
CN108426910A (en) * 2018-03-08 2018-08-21 宁波大学 A method of it is pathogenic whether identification Vibrio harveyi has
CN108872293A (en) * 2018-08-10 2018-11-23 厦门大学 A kind of metabonomic analysis of Alveolar echinococcosis and the construction method of preliminary screening model
CN109827985A (en) * 2019-04-02 2019-05-31 长春中医药大学 It is a kind of based on NMR metabolism group to the discrimination method of maca different cultivars

Similar Documents

Publication Publication Date Title
CN102323285A (en) Method for analyzing NMR (Nuclear Magnetic Resonance) metabonomics detection data
Barding et al. Quantitative NMR for bioanalysis and metabolomics
Emwas et al. Recommended strategies for spectral processing and post-processing of 1D 1 H-NMR data of biofluids with a particular focus on urine
Beckonert et al. High-resolution magic-angle-spinning NMR spectroscopy for metabolic profiling of intact tissues
US8134365B2 (en) Methods of in-vitro analysis using time-domain NMR spectroscopy
CN103257182B (en) A kind of impulse eddy current defect quantitative detection method and detection system
CN102590135B (en) Herbicide distinguishing method based on least-square support vector machine
CN109187614B (en) Metabonomics data fusion method based on nuclear magnetic resonance and mass spectrum and application thereof
Öman et al. Identification of metabolites from 2D 1 H-13 C HSQC NMR using peak correlation plots
Kim et al. NMR analysis of fecal samples
Bao et al. A robust automatic phase correction method for signal dense spectra
U Zacharias et al. Current experimental, bioinformatic and statistical methods used in nmr based metabolomics
Percival et al. Univariate and multivariate statistical approaches to the analysis and interpretation of NMR-based metabolomics datasets of increasing complexity
Yamada et al. Signal deconvolution and noise factor analysis based on a combination of time–frequency analysis and probabilistic sparse matrix factorization
CN114894831A (en) Method for distinguishing oysters from different producing areas based on quantitative nuclear magnetic resonance metabonomics
CN104155621B (en) Method used for accurately measuring static magnetic field B0 distribution
Stanisic et al. Nuclear magnetic resonance spectroscopy in analyses of biological samples
Maher et al. 1H NMR-based metabonomics for investigating diabetes
CN102262098A (en) Rheumatoid arthritis spectrum model and construction method thereof
Gulati et al. Metabolomics analysis of complex biological specimens using nuclear magnetic resonance spectroscopy
Holmes et al. An overview of metabolic phenotyping and its role in systems biology
Chai et al. Combination of peak-picking and binning for NMR-based untargeted metabonomics study
Martineau et al. Fast quantitative 2D NMR for untargeted and targeted metabolomics
Van Current NMR strategies for biomarker discovery
Cartlidge et al. The utility of biomarkers in hepatocellular carcinoma: review of urine-based 1H-NMR studies–what the clinician needs to know

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C02 Deemed withdrawal of patent application after publication (patent law 2001)
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20120118