CN106485082B - A kind of method for building up of the OPLS-DA diagnostic model based on refining metabolism group and its application - Google Patents

A kind of method for building up of the OPLS-DA diagnostic model based on refining metabolism group and its application Download PDF

Info

Publication number
CN106485082B
CN106485082B CN201610901147.7A CN201610901147A CN106485082B CN 106485082 B CN106485082 B CN 106485082B CN 201610901147 A CN201610901147 A CN 201610901147A CN 106485082 B CN106485082 B CN 106485082B
Authority
CN
China
Prior art keywords
sample
opls
substance
quality control
refining
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.)
Expired - Fee Related
Application number
CN201610901147.7A
Other languages
Chinese (zh)
Other versions
CN106485082A (en
Inventor
乔善磊
夏彦恺
王心如
陈敏健
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.)
Nanjing Medical University
Original Assignee
Nanjing Medical University
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 Nanjing Medical University filed Critical Nanjing Medical University
Priority to CN201610901147.7A priority Critical patent/CN106485082B/en
Publication of CN106485082A publication Critical patent/CN106485082A/en
Application granted granted Critical
Publication of CN106485082B publication Critical patent/CN106485082B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16CCOMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C20/00Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
    • G16C20/40Searching chemical structures or physicochemical data
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders

Landscapes

  • Engineering & Computer Science (AREA)
  • Public Health (AREA)
  • Crystallography & Structural Chemistry (AREA)
  • Chemical & Material Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Primary Health Care (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Biomedical Technology (AREA)
  • Pathology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Computing Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Investigating Or Analysing Biological Materials (AREA)
  • Other Investigation Or Analysis Of Materials By Electrical Means (AREA)

Abstract

The invention discloses a kind of method for building up of OPLS-DA diagnostic model based on refining metabolism group and its application, include the following steps: to screen modeling object and sample acquisition;Fabrication quality control sample;Sample extraction;Sample derivatization;Chromatography-mass spectral analysis;The use of Quality control samples;The identification of compound;OPLS-DA modeling.OPLS-DA diagnostic model of this kind based on refining metabolism group, the OPLS-DA model that the model is better than using the parameters such as semen volume, sperm concentration, sperm motility rate, sperm motility and the sperm motility mode in seminal parameters to establish to the differentiation effect of UMI, the former sensitivity and specificity is respectively 98% and 95%, and the sensitivity and specificity of the latter is only 67% and 73%.

Description

A kind of method for building up of OPLS-DA diagnostic model based on refining metabolism group and its Using
Technical field
The present invention relates to male infertility infertility field of biotechnology, and in particular to a kind of based on refining metabolism group The method for building up of OPLS-DA diagnostic model and its application.
Background technique
The male sterility (Unexplained Male Infertility, UMI) of unknown cause refers to Sperm routine analysis As a result in the normal range, and the male sterility phenomenon after body and cryptorrhea is excluded.In addition to erection problem and sexual intercourse Outside factor, immunogene because and sperm function obstacle may also will lead to such situation.The disease of the male sterility of unknown cause Because including low level leukocyte sperm disease and mitochondria DNA polymerase gene pleiomorphism etc..Infertile is that the whole world is generally deposited Between husband and wife the problem of, can not be pregnant after being clinically defined as regular sexual intercourse in a couple 1 year, it is estimated that have 4-17% Man and wife can go to a doctor, to correct their infertile, but generally, it is considered that more infertile Mr. and Mrs will not go diagnosis and treatment.It adjusts Display is looked into, male factor is main or single factor the 20-50% or so for accounting for infertile reason.
Currently, Sperm routine analysis, which is still that male factor is infertile, mainly to be commented in addition to detailed medical history and comprehensive physical examination Valence tool, this way are based on seminal parameters such as sperm concentration, and motility has proved to be the significant related fact to form. Have the characteristics that widely used in Infertility male preliminary assessment, the normal reference value of seminal parameters is tested in the semen analysis of Noninvasive The standard of range can change according to the revision and variation of World Health Organization's laboratory manual.2010, the World Health Organization (WHO) new reference value is established, the reference value of current human seminal fluid's parameter is reported than in the past to be substantially reduced.From eight countries About 2000 people and companion's life-time were less than 12 months and the male individual of companion's pregnancy is chosen as providing seminal parameters ginseng The sample of examination mark cloth.The reference value of the new handbook of World Health Organization use may result in clinical practice reclassify it is numerous not Pregnant Mr. and Mrs.In particular, being classified as the Mr. and Mrs with male factor infertility before those will have on Sperm Parameters New term of reference, but will be diagnosed now lower than old value as Unexplained infertiiity or female acyesis.New edition handbook, which has been formulated, works as 95% reference interval of preceding fertility semen parameter, meanwhile, the 5th percentage bit line of clinical criteria is also defined, essence is proposed The lower limit of liquid feature.At present it is not clear in this case, whether this is reclassified has more preferably the assessment of infertile couples Effect, and the effect of specific diagnosis and male factor evaluation to infertile couples.
Biological marker related with unexplained male infertility is found to assist or substitute seminal parameters analysis and compel very much It cuts.The technological progress of male's science can effectively make up the deficiency of Sperm routine analysis, mention for the diagnosis of unexplained male infertility It has supplied new method and new visual angle can be provided for the mechanism of unexplained male infertility.Diagnosis for UMI, works as business The anxious method for being to provide a kind of pair of fecundity and carrying out objective evaluation.Omics technology contains genomics, transcription group, egg Bai Zuxue and metabolism group.Metabolism group is a kind of emerging technology, can be used for the discovery of the biological marker of medical diagnosis on disease simultaneously And it can reveal that the pathogenetic mechanism of disease.Metabolism group discloses the molecule thing occurred under gene, transcription and albumen level Part, it is considered to be recently close to the group of disease phenotype.Currently, the refining metabolism group of unexplained male infertility changes still not Know, it is a kind of sample of hurtless measure that refining, which has adjusted the chemical component of sperm, is particularly suitable for being used to find unknown cause male not Educate the biological marker of diagnosis and Mechanism Study.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of building for OPLS-DA diagnostic model based on refining metabolism group Cube method and its application, and provide following technical solution:
A kind of method for building up of the OPLS-DA diagnostic model based on refining metabolism group, includes the following steps: in the present invention
1) screen modeling object and sample acquisition: respectively choose unknown sterility Infertility male case group (UMI group) and Reproductive function normal male control group carries out semen sample acquisition according to the method for WHO standard, and refining is separated and is stored in- Freezing is sample in 80 DEG C of refrigerators;
2) Fabrication quality control sample: taking 5 μ L to mix in each sample for participating in analysis, Quality control samples be made, point 25 μ L Quality control samples are not taken to be placed in different 1.5mL centrifuge tubes, -80 DEG C of preservations;
3) after sample to be placed to 30min thawing at room temperature, 25 μ L samples sample extraction: are drawn in the centrifuge tube of 1.5mL In, above-mentioned Quality control samples are melted, sample and Quality control samples be added internal standard 0.3mg/mL chlorophenylalanine and The 10 μ L of Heptadecanoic acide blended liquid of 1mg/mL is mixed, and adds 300 μ L of organic solvent, vortex oscillation 30S obtains mixed liquor, will mix Liquid is placed in -20 DEG C of precipitating 10min, is then centrifuged 10min in the case where acceleration is 10,000g, draws 300 μ L of supernatant respectively in sample introduction In bottle, it is dried in vacuo at room temperature;
4) sample derivatization: 80 μ L of 15mg/mL methoxamine pyridine is added after draining in above-mentioned sample injection bottle, vibrates 30 seconds, in It is reacted 90 minutes at 30 DEG C, then adds 70 DEG C of 80 μ LBSTFA (1%TMCS) and react 60 minutes;
5) chromatography-mass spectral analysis (GC-TOF analysis): according to every 10 samples being one by sample and Quality control samples Batch is inserted into 1 Quality control samples and is analyzed by gas chromatograph-mass spectrometer (GC-MS);
6) use of Quality control samples: calculating interior target RSD in all-mass control sample, which requires to be less than 0.3, if it does not meet the requirements, then the sample for changing excessive batch is reanalysed;If met the requirements, according to internal standard peak Area establishes Quality Control figure, is limited by way of caution with mean ± 2SD, limits using mean ± 3SD as control, twice in succession beyond warning Even if limit, beyond control limit it is primary, continuous 5 times increase or reduce it is out of control, it is out of control after sample batch needs reanalyse;Due to Include internal standard in each sample to be tested, invalid data processing is assert beyond the data of control limit to internal standard in sample;
7) deconvolution processing the identification of compound: is carried out to obtain substance to spectral peak using Chromatof (LECO) software Mass spectrogram and spectrum library searching is carried out according to the mass spectrogram, according to retention time and spectrum storehouse matching degree carry out it is qualitative, judge through peak After obtain retention time, substance title (containing substance is not identified) and peak area, after carrying out data processing to each sample, obtain every The peak area for each substance that a sample is included carries out sample and the substance detected whole according to the appraisal of substance It closes, forms the response intensity of material composition in behavior sample, be classified as the matrix table of the response intensity of substance in the sample, it will be above-mentioned Treated matrix table imported into 11.5 software package of SIMCA-P (Umetrics,Sweden it) is used for multidimensional statistics, Data carry out centralization in SIMCA-P software and pareto homogenization processing (extracts square root the peak area of each spectral peak Processing, to reduce the big spectral peak bring deviation of peak area);
8) OPLS-DA is modeled: the variance factor point that multidimensional data in step (7) is first found as required before compression Group is preset before modeling with finding with the maximally related variable of factor for being used for grouping and the other influence factors of shielding The Y value of above-mentioned control sample is set as by one Y value for extracting in metabolin matrix with the maximally related data information of Y value The Y value of O, case group sample are set as 1, establish OPLS-DA model, find associated model and contribute biggish metabolin variable, and Diagnostic model is established by being used in combination for these metabolin variables.
Further, unknown sterility infertility case group (UMI group) and reproductive function normal male in the step (1) Control group chooses 80 respectively.
Further, when carrying out chromatography-mass spectral analysis in the step (5), instrument parameter: injector temperature 270 DEG C, sample volume is 1 μ L, and input mode is Splitless injecting samples, carrier gas: 99.999% ultrapure helium, flow 1mL/min;Time Program: initial temperature is 80 DEG C of initial temperature, retains 2min, rises to 180 DEG C with 10 DEG C/min, then rise to 240 DEG C with 5 DEG C/min, so 290 DEG C are risen to 25 DEG C/min afterwards, retains 9min, transmission line temperature is 260 DEG C, chromatographic column: DB-5MS capillary column;Mass spectrum item Part: ion source temperature is 200 DEG C, scanning range 30-600, and solvent delay is 5min, scanning speed 20Hz.
Further, it needs to judge internal standard peak used in detection substance each in sample in step (7);Matter The peak of substance in sample is controlled respectively with initial data, initial data and chlorophenylalanine ratio, initial data and Heptadecanoic acide ratio Three kinds of processing modes of value calculate RSD, select correcting mode of the RSD reckling as the substance in three kinds of processing modes.
A kind of method for building up of heretofore described OPLS-DA diagnostic model based on refining metabolism group male not The infertile research application of bright reason.
The beneficial effects of the present invention are: the present invention carries out chromatography-matter of seminal plasma sample to a large amount of case groups and control group Spectrum analysis, since there are many compound that metabolin is analyzed simultaneously, to reduce chromatography peak stretching and compression analysis time, therefore generation It thanks to a group credit analysis and generally has more total effluent, place of deconvoluting can be carried out to total eluting peak by Chromatof software Reason, since GC-TOF analysis has high acquisition rate (per second to can get 20 maps), software can go to roll up by result spectrogram Product carries out processing appropriate to data, by deconvoluting, after qualitative, integral, carries out to obtained compound combination library searching Identification, after RSD < 0.3 is screened in Quality control samples, met the requirements to obtain compound.Using obtained Metabolism group compound data establishes the OPLS-DA diagnostic model based on refining metabolism group, differentiation effect of the model to UMI It is built better than using parameters such as semen volume, sperm concentration, sperm motility rate, sperm motility and sperm motility modes in seminal parameters Vertical OPLS-DA model, the former sensitivity and specificity is respectively 98% and 95%, and the sensitivity and specificity of the latter is only 67% and 73%.
Detailed description of the invention
Fig. 1 is target quality control chart in the chlorophenylalanine of Quality control samples in the specific embodiment of the invention;
Fig. 2 is target quality control chart in the chlorophenylalanine of sample in the specific embodiment of the invention;
Fig. 3 is target quality control chart in the Heptadecanoic acide of Quality control samples in the specific embodiment of the invention;
Fig. 4 is target quality control chart in the Heptadecanoic acide of sample in the specific embodiment of the invention;
Fig. 5 is the OPLS-DA model established in the specific embodiment of the invention using refining metabolism group data;
Fig. 6 is the OPLS-DA model established using seminal parameters data.
Specific embodiment
To be easy to understand the technical means, the creative features, the aims and the efficiencies achieved by the present invention, below with reference to Specific embodiment, the present invention is further explained.
The embodiment of the present invention meets statutory regulation and has passed through the approval of Nanjing Medical University's ethics meeting.Case male comes From 12 months or more the Mr. and Mrs that can not be pregnant of affiliated hospital of Nanjing Medical University outpatient service, women spouse has carried out a series of clinics It checks and reproductive status is excluded extremely.Case male has carried out complete medical history and physical examination, has carried out hormone determination And semen routine analysis;Spouse has carried out complete medical history and physical examination, including conventional gynecological inspection, hormone serum level Measurement, the test of fallopian tubal ovarian function, β hysteroscope, ultrasound detection, immune detection, microorganism detection, karyotype point Analysis.Control group male recruits and samples with case group in the same period in this example, their reproductive function is normal, and 6-8 Child's birth of their unsoundness of the moon.Semen sample acquires the method according to WHO standard, meets abstinence time requirement.
In the embodiment of the present invention, instrument is preferred are as follows: gas chromatograph-mass spectrometer (GC-MS) GC-TOFMS (Agilent 6890N gas chromatography coupled with Pegasus HT time-of-flight mass Spectrometer), Leco company (U.S.);DB-5MS Capillary Column for Gas Chromatography (internal diameter: 0.25mm;Length: 30m;Film It is thick: 0.25 μm), Anjelen Sci. & Tech. Inc;Centrifuge (LD5-2A type) Beijing Medical Centrifugal Machine Factory;Centrifuge (TGL- 16B) Town in Shanghai pavilion scientific instrument manufactory;Its woods Bell's instrument manufacturing of miniature eddy mixer (QL-901 type) Jiangsu Haimen has Limit company;Startorius company of electronic analytical balance (BS124S) Germany;Numerical control Ultrasound Instrument (KQ-250DB type) city of Kunshan is super Sound Instrument Ltd.;Superpure water machine (II type of Mill-Q) Milipore, (Bedford, MA, USA).
In the embodiment of the present invention, agents useful for same is preferred are as follows: chloroform, dehydrated alcohol, and pyridine, sodium hydroxide, anhydrous sodium sulfate, Above it is all that analysis is pure, is purchased from the general chemical reagent Co., Ltd of Town in Shanghai;L-2- chlorophenylalanine, Heptadecanoic acide, N-O- bis- (three First silicon substrate) (BSTFA is purchased from SIGMA company (U.S.) containing 1%TMCS), pyridine, methoxamine to trifluoroacetamide.
A kind of method for building up of the OPLS-DA diagnostic model based on refining metabolism group, includes the following steps: in the present invention
1) modeling object and sample acquisition are screened: choosing 80 above-mentioned unknown sterility Infertility male case groups respectively (UMI group) and the normal human male control group of 80 reproductive functions carries out semen sample acquisition according to the method for WHO standard, and will It is sample that refining separation, which is stored in freezing in -80 DEG C of refrigerators,;
2) Fabrication quality control sample: taking 5 μ L to mix in each sample for participating in analysis, Quality control samples be made, point 25 μ L Quality control samples are not taken to be placed in different 1.5mL centrifuge tubes, -80 DEG C of preservations;
3) after sample to be placed to 30min thawing at room temperature, 25 μ L samples sample extraction: are drawn in the centrifuge tube of 1.5mL In, above-mentioned Quality control samples are melted, sample and Quality control samples be added internal standard 0.3mg/mL chlorophenylalanine and The 10 μ L of Heptadecanoic acide blended liquid of 1mg/mL is mixed, and adds 300 μ L of organic solvent, vortex oscillation 30s obtains mixed liquor, will mix Liquid is placed in -20 DEG C of precipitating 10min, is then centrifuged 10min in the case where acceleration is 10,000g, draws 300 μ L of supernatant respectively in sample introduction In bottle, it is dried in vacuo at room temperature;
4) sample derivatization: 80 μ L of 15mg/mL methoxamine pyridine is added after draining in above-mentioned sample injection bottle, vibrates 30 seconds, in It is reacted 90 minutes at 30 DEG C, then adds 70 DEG C of 80 μ LBSTFA (1%TMCS) and react 60 minutes;
5) chromatography-mass spectral analysis (GC-TOF analysis): according to every 10 samples being one by sample and Quality control samples Batch is inserted into 1 Quality control samples and is analyzed by above-mentioned gas chromatograph-mass spectrometer (GC-MS), instrument parameter: injection port temperature Degree is 270 DEG C, and sample volume is 1 μ L, and input mode is Splitless injecting samples, carrier gas: 99.999% ultrapure helium, flow 1mL/ min;Time-program(me): initial temperature is 80 DEG C of initial temperature, retains 2min, rises to 180 DEG C with 10 DEG C/min, then rise to 5 DEG C/min 240 DEG C, 290 DEG C then are risen to 25 DEG C/min, retains 9min, transmission line temperature is 260 DEG C, chromatographic column: DB-5MS capillary Column;Mass Spectrometry Conditions: ion source temperature is 200 DEG C, scanning range 30-600, and solvent delay is 5min, scanning speed 20Hz;
6) use of Quality control samples: calculating interior target RSD in all-mass control sample, which requires to be less than 0.3, if it does not meet the requirements, then the sample for changing excessive batch is reanalysed;If met the requirements, according to internal standard peak Area establishes Quality Control figure, is limited by way of caution with mean ± 2SD, limits using mean ± 3SD as control, twice in succession beyond warning Even if limit, beyond control limit it is primary, continuous 5 times increase or reduce it is out of control, it is out of control after sample batch needs reanalyse;Due to Include internal standard in each sample to be tested, invalid data processing is assert beyond the data of control limit to internal standard in sample;
7) it the identification of compound: carries out carrying out deconvolution processing to spectral peak to obtain using Chromatof (LECO) software The mass spectrogram of substance simultaneously carries out spectrum library searching according to the mass spectrogram, qualitative according to retention time and spectrum storehouse matching degree progress, through peak Retention time, substance title (containing substance is not identified) and peak area are obtained after judgement, after carrying out data processing to each sample, are obtained Each sample each substance for being included peak area, according to the appraisal of substance, to sample and the substance detected into Row integration, forms the response intensity of material composition in behavior sample, is classified as the matrix table of the response intensity of substance in the sample, will Above-mentioned treated matrix table imported into SIMCA-P11.5 software package (Umetrics,Sweden it) unites for multidimensional Meter, data carry out centralization in SIMCA-P software and pareto homogenization processing (carries out out the peak area of each spectral peak flat Side's processing, to reduce the big spectral peak bring deviation of peak area);
8) OPLS-DA is modeled: the variance factor point that multidimensional data in step (7) is first found as required before compression Group is preset before modeling with finding with the maximally related variable of factor for being used for grouping and the other influence factors of shielding The Y value of above-mentioned control sample is set as by one Y value for extracting in metabolin matrix with the maximally related data information of Y value The Y value of O, case group sample are set as 1, establish OPLS-DA model, find associated model and contribute biggish metabolin variable, and Diagnostic model is established by being used in combination for these metabolin variables.
Two internal standards are used in this example, it is therefore desirable to judge internal standard peak used in each detection substance. Herein to the peak of substance in quality-control sample respectively with initial data, initial data and chlorophenylalanine ratio, initial data and ten Seven alkanoic acid ratio calculation RSD select correcting mode of the RSD reckling as the substance in three kinds of processing modes.Such as: parent mass peak face RSD of the product in each quality-control sample is minimum, then carries out subsequent statistical analysis and pattern-recognition using original peak area;Original number According to the RSD minimum with chlorophenylalanine ratio in each quality-control sample, then select chlorophenylalanine as the internal standard of the substance.
Based on above-mentioned, this example isolates to obtain component after Chromatof software carries out deconvolution, qualitative, integral 333, by library searching, 153 compounds are identified altogether, wherein 96 chemicals pass through local reference substance library identification. It after RSD < 0.3 is screened in Quality control samples, obtains 136 compounds and meets the requirements, wherein 90 compounds obtain Identification, 70 are identified that detailed data is as shown in the table by local reference substance library
The resulting chemical component list of metabonomic analysis
A. the retention time of the compound
The compound name of b.Chromatof software identification, unknown compound, which starts+three bit digitals number with UN, to be indicated
C. storehouse matching degree is composed
D. √ indicates that the compound passes through local reference substance library verifying
E. RSD of the substance in Quality control samples, calculates according to corrected data
F. the substance corrects situation, and 1 is corrects using Heptadecanoic acide, and 2 is correct using chlorophenylalanine, and 3 be not correct Directly use initial data.
For this example since sample size is big, analytical cycle is long, therefore uses stringent quality control method.Extremely according to Fig. 1 Fig. 4 carries out Quality Control to the internal standard in sample as it can be seen that all quality-control samples meet quality control requirement, in two internal standards, The difference of any one and mean value is more than that the sample of mean ± 3SD is removed and is not involved in further data processing, using being obtained The metabolism group data obtained, we establish OPLS-DA model, which includes 1 prediction ingredient and two orthogonal components (R2Xcum=0.333, R2Ycum=0.833, Q2cum=0.634), as a result such as Fig. 5;In order to compare, while also using sperm matter The parameters such as semen volume, sperm concentration, sperm motility rate, sperm motility and sperm motility mode in amount parameter establish other one A OPLS-DA model (R2Xcum=0.360, R2Ycum=0.423, Q2cum=0.331), such as Fig. 6.The results show that using generation Thanking to the model that group data are established, (95%) sensitivity 98%, specificity, differentiate that effect is better than establishing using seminal parameters data OPLS-DA model (sensitivity 67%, specificity 73%).
It should be understood by those skilled in the art that the present invention is not limited to the above embodiments, above-described embodiment and explanation It is merely illustrated the principles of the invention described in book, without departing from the spirit and scope of the present invention, the present invention also has Various changes and modifications, these changes and improvements all fall within the protetion scope of the claimed invention.The claimed scope of the invention It is defined by the appending claims and its equivalent thereof.

Claims (4)

1. a kind of method for building up of the OPLS-DA diagnostic model based on refining metabolism group, which is characterized in that including walking as follows It is rapid:
(1) modeling object and sample acquisition are screened: choosing unknown sterility Infertility male case group and reproductive function just respectively Normal human male control group carries out semen sample acquisition according to the method for WHO standard, and refining separation is stored in -80 DEG C of refrigerators Freezing is sample;
(2) it Fabrication quality control sample: takes 5 μ L to mix in each sample for participating in analysis, Quality control samples is made, take respectively 25 μ L Quality control samples are placed in different 1.5mL centrifuge tubes, -80 DEG C of preservations;
(3) sample extraction: after sample to be placed to 30min thawing at room temperature, drawing 25 μ L samples in the centrifuge tube of 1.5mL, Above-mentioned Quality control samples are melted, the chlorophenylalanine and 1mg/ of internal standard 0.3mg/mL is added with Quality control samples for sample The 10 μ L of Heptadecanoic acide blended liquid of mL is mixed, and adds 300 μ L of organic solvent, vortex oscillation 30s obtains mixed liquor, mixed liquor is set In -20 DEG C of precipitating 10min, it then is centrifuged 10min in the case where acceleration is 10,000g, draws 300 μ L of supernatant respectively in sample injection bottle In, it is dried in vacuo at room temperature;
(4) sample derivatization: 80 μ L of 15mg/mL methoxamine pyridine is added after draining in above-mentioned sample injection bottle, vibrates 30 seconds, in 30 It is reacted 90 minutes at DEG C, then adds 80 μ LBSTFA70 DEG C and react 60 minutes;
(5) sample and Quality control samples chromatography-mass spectral analysis: are inserted into 1 quality according to every 10 samples for a batch Control sample is analyzed by gas chromatograph-mass spectrometer (GC-MS);
(6) use of Quality control samples: calculating interior target RSD in all-mass control sample, which requires less than 0.3, such as Fruit is undesirable, then reanalyses the sample for changing excessive batch;If met the requirements, built according to internal standard peak area Vertical Quality Control figure, is limited by way of caution with mean ± 2SD, is limited using mean ± 3SD as control, is exceeded warning limit twice in succession, is exceeded Even if primary, continuous 5 raisings of control limit or reduction are out of control, rear sample batch needs out of control are reanalysed;Due to it is each to All include internal standard in sample, invalid data processing is assert beyond the data of control limit to internal standard in sample;
(7) deconvolution processing the identification of compound: is carried out to obtain the mass spectrogram of substance simultaneously to spectral peak using Chromatof software Spectrum library searching is carried out according to the mass spectrogram, it is qualitative according to retention time and spectrum storehouse matching degree progress, retained after peak judges Time obtains each sample and is wrapped containing the substance title and peak area for not identifying substance after carrying out data processing to each sample The peak area of each substance contained integrates sample and the substance detected according to the appraisal of substance, forms behavior The response intensity of material composition in sample, is classified as the matrix table of the response intensity of substance in the sample, will be above-mentioned treated Matrix table imported into SIMCA-P11.5 software package for multidimensional statistics, data is carried out in SIMCA-P software centralization with Pareto homogenization processing, is that the peak area of each spectral peak is carried out extraction of square root processing, to reduce the big spectral peak band of peak area The deviation come;
(8) OPLS-DA is modeled: the variance factor that multidimensional data in step (7) is first found as required before compression is grouped, with It finds and presets a Y before modeling with the maximally related variable of factor for being used for grouping and the other influence factors of shielding Value, for extracting in metabolin matrix with the maximally related data information of Y value, is set as O for the Y value of above-mentioned control sample, disease The Y value of example group sample is set as 1, establishes OPLS-DA model, finds associated model and contributes biggish metabolin variable, and passes through Diagnostic model is established in being used in combination for these metabolin variables.
2. a kind of method for building up of OPLS-DA diagnostic model based on refining metabolism group according to claim 1, special Sign is that unknown sterility infertility case group and reproductive function normal male control group choose 80 respectively in the step (1) Example.
3. a kind of method for building up of OPLS-DA diagnostic model based on refining metabolism group according to claim 1, special Sign is, when carrying out chromatography-mass spectral analysis in the step (5), instrument parameter: injector temperature is 270 DEG C, sample volume 1 μ L, input mode are Splitless injecting samples, carrier gas: 99.999% ultrapure helium, flow 1mL/min;Time-program(me): initial temperature For 80 DEG C of initial temperature, retains 2min, 180 DEG C are risen to 10 DEG C/min, then rise to 240 DEG C with 5 DEG C/min, then with 25 DEG C/min liter To 290 DEG C, retain 9min, transmission line temperature is 260 DEG C, chromatographic column: DB-5MS capillary column;Mass Spectrometry Conditions: ion source temperature It is 200 DEG C, scanning range 30-600, solvent delay is 5min, scanning speed 20Hz.
4. a kind of method for building up of OPLS-DA diagnostic model based on refining metabolism group according to claim 1, special Sign is, needs to judge internal standard peak used in detection substance each in sample in step (7);Substance in quality-control sample Peak respectively with three kinds of initial data, initial data and chlorophenylalanine ratio, initial data and Heptadecanoic acide ratio processing sides Formula calculates RSD, selects correcting mode of the RSD reckling as the substance in three kinds of processing modes.
CN201610901147.7A 2016-10-17 2016-10-17 A kind of method for building up of the OPLS-DA diagnostic model based on refining metabolism group and its application Expired - Fee Related CN106485082B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610901147.7A CN106485082B (en) 2016-10-17 2016-10-17 A kind of method for building up of the OPLS-DA diagnostic model based on refining metabolism group and its application

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610901147.7A CN106485082B (en) 2016-10-17 2016-10-17 A kind of method for building up of the OPLS-DA diagnostic model based on refining metabolism group and its application

Publications (2)

Publication Number Publication Date
CN106485082A CN106485082A (en) 2017-03-08
CN106485082B true CN106485082B (en) 2019-02-15

Family

ID=58270108

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610901147.7A Expired - Fee Related CN106485082B (en) 2016-10-17 2016-10-17 A kind of method for building up of the OPLS-DA diagnostic model based on refining metabolism group and its application

Country Status (1)

Country Link
CN (1) CN106485082B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107703243B (en) * 2017-09-26 2021-06-15 重庆医科大学 Gas chromatography-mass spectrometry analysis processing method and system for metabonomics
CN111983044B (en) * 2019-05-24 2023-04-11 中国科学院大连化学物理研究所 Detection method for analyzing steroid hormone based on double-derivative treatment

Non-Patent Citations (8)

* Cited by examiner, † Cited by third party
Title
"Efficacy of Withania somnifera on seminal plasma metabolites of infertile males: a proton NMR study at 800 MHz";Gupta A等;《Journal of Ethnopharmacology》;20130826;第149卷(第1期);第208-214页
"Identification of biochemical differences between different forms of male infertility by nuclear magnetic resonance (NMR) spectroscopy";V Jayaraman等;《Journal of Assisted Reproduction & Genetics》;20140930;第31卷(第9期);第1195-1204页
"Metabolic characterization of asthenozoospermia using nontargeted seminal plasma metabolomics";Xiaoli Zhang等;《Clinica Chimica Acta》;20151023;第450卷;第254-261页
"Metabolomic Analysis Reveals a Unique Urinary Pattern in Normozoospermic Infertile Men";Zhang Jie等;《Journal of Proteome Research》;20140630;第13卷(第6期);第3088-3099页
"Unexplained male infertility: diagnosis and management";Hamada A等;《International Brazilian Journal of Urology》;20121031;第38卷(第5期);第576–594页
"Urinary metabolome identifies signatures of oligozoospermic infertile men";Zhang Jie等;《Fertility & Sterility》;20140131;第102卷(第1期);第44-53页
"代谢组学分析技术及其在生殖领域中的应用";刘姗姗等;《动物医学进展》;20140331;第35卷(第3期);第109-115页
"男性不育证候、用药规律及其肾阳虚型的代谢组学特征研究";戴继灿;《中国博士学位论文全文数据库 医药卫生科技辑》;20150115;第2015年卷(第1期);E067-19

Also Published As

Publication number Publication date
CN106485082A (en) 2017-03-08

Similar Documents

Publication Publication Date Title
Kosarac et al. A novel method for the quantitative determination of free and conjugated bisphenol A in human maternal and umbilical cord blood serum using a two-step solid phase extraction and gas chromatography/tandem mass spectrometry
Rezende et al. Cloud point extraction for determination of cadmium in soft drinks by thermospray flame furnace atomic absorption spectrometry
CN108152519B (en) Preparation method of plasma quality control product for quality control of centrifugal microfluidic chip
D’Alessandro et al. Clinical metabolomics: the next stage of clinical biochemistry
CN108588210B (en) Hepatic injury biomarker, method and application comprising biological micromolecule and gene
Kondo et al. Determination of five phthalate monoesters in human urine using gas chromatography-mass spectrometry
CN108195924A (en) Inductively coupled plasma mass spectrometry detection kit for elements in whole blood and application thereof
Wijeyesekera et al. Quantitative UPLC-MS/MS analysis of the gut microbial co-metabolites phenylacetylglutamine, 4-cresyl sulphate and hippurate in human urine: INTERMAP Study
CN104245599B (en) Method and kit for detecting Co-Q10
Li et al. Serum metabonomics study of pregnant women with gestational diabetes mellitus based on LC-MS
Markiewicz et al. Multielemental analysis of 18 essential and toxic elements in amniotic fluid samples by ICP-MS: Full procedure validation and estimation of measurement uncertainty
CN101344528B (en) Bovine serum cholesterol standard substance and use thereof
CN106485082B (en) A kind of method for building up of the OPLS-DA diagnostic model based on refining metabolism group and its application
Lee et al. Variability of urinary creatinine, specific gravity, and osmolality over the course of pregnancy: Implications in exposure assessment among pregnant women
CN109060972A (en) Application of the rabbit blood in preparation human disease&#39;s external diagnosis reagent case
CN106841427A (en) A kind of tandem mass spectrum kit of detection PKU and CAH is prepared and its applied
Liu et al. Exposure to perfluoroalkyl substances in early pregnancy and the risk of hypertensive disorders of pregnancy: A nested case-control study in Guangxi, China
CN112540116B (en) Method for detecting six trace elements in whole blood by using internal standard combined solution
CN112557492A (en) Method for calibrating ICP-MS (inductively coupled plasma-mass spectrometry) trace element analyzer by using internal standard combined solution
CN112540115A (en) Internal standard combined solution for detecting 6 single elements in whole blood
Harrington et al. Validation of a metallomics analysis of placenta tissue by inductively-coupled plasma mass spectrometry
CN109187814A (en) A kind of method and its detection kit for identifying kidney transplant prognosis biomarker
CN112345680B (en) Method for simultaneously detecting eight sterols in ganoderma lucidum
CN109613127A (en) A kind of method and detection kit for identifying urarthritis biomarker
Erdem et al. The assessment of oxidative stress biomarkers in different serum and plasma specimens

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20190215

Termination date: 20191017

CF01 Termination of patent right due to non-payment of annual fee