218 results about "Assay technique" patented technology

The invention discloses a clinical examination and detection item correlation analysis method based on multi-agent cooperation, and relates to the technical field of correlation analysis, and the method comprises the steps: obtaining the name and basic parameters of an examination item, and determining the technical field of the examination item through a classification system and an algorithm; related field parameters are extracted from the knowledge management module, and configuration parameters of the intelligent agent are set; generating a task instruction based on the basic parameters, transmitting the instruction through a structured message transmission mechanism, and obtaining an agent processing result; and performing verification analysis on the processing result by using a hypothesis production and verification engine to obtain a correlation analysis result of the project. According to the method, the hypothesis content can be evaluated from multiple angles, it is ensured that the obtained correlation analysis result has high scientificity and credibility, and powerful support and basis are provided for research and application of clinical examination and detection items.

The invention discloses a digital single-molecule enzyme multi-activity characteristic cross-scale heterogeneity dynamic evaluation method, which comprises the following steps: diluting a pre-combined enzyme-template-primer ternary complex to a single-molecule level so as to load the enzyme-template-primer ternary complex into a reaction chamber in a micropore array chip for rolling circle amplification, a molecular beacon is combined with an amplification product to release a fluorescence signal; monitoring and acquiring the fluorescence signal in real time to generate a time-resolved fluorescence intensity curve; extracting a slope parameter of the fluorescence intensity curve so as to obtain a catalytic synthesis rate through conversion calculation for evaluating enzyme activity; the distribution of catalytic synthesis rate values is fitted using an n-fold Gaussian mixture model to obtain a standard deviation for assessing population homogeneity and a coefficient of variation for assessing stability. According to the invention, cross-scale analysis of single-molecule resolution, multi-parameter dynamic association and environmental interference processing can be realized at the same time, and resolution limitation of a traditional analysis technology is broken through by integrating single-molecule fluorescence tracking and population statistics.

The invention belongs to the technical field of tumor clustering analysis, and particularly relates to a tumor clustering analysis system and method based on big data. Through deep fusion and space-time alignment processing of multi-dimensional biological data, the limitation of single-dimension or simple data integration in a traditional method is overcome, complex biological characteristics and space-time evolution laws in the tumor can be captured more comprehensively, and the tumor can be rapidly and accurately captured by constructing a low-dimensional association and independent characteristic space and combining a nonlinear dimension reduction technology. According to the method, low-dimensional feature vectors with biomarker features are effectively extracted, a high-quality data basis is provided for subsequent clustering analysis, meanwhile, based on sliding window density estimation and determination of a dynamic neighborhood radius, accurate spatial adjacency relation construction of the low-dimensional feature vectors is achieved, and the accuracy of the spatial adjacency relation is improved. And the potential clustering center of the tumor subtype is extracted through the multi-scale characteristic spectrum, so that the generated classification label can more accurately reflect the real distribution of the tumor subtype.

The invention belongs to the technical field of detection and analysis, and provides a method for detecting the average coupling rate of a high-hydrophilicity small-molecule high-glycosylation antibody coupling drug and application of the method for detecting the average coupling rate of the high-hydrophilicity small-molecule high-glycosylation antibody coupling drug. The method comprises the following steps: firstly, carrying out desugaring treatment on a high-glycosylation coupling medicine, then coupling desugarized high-hydrophilicity toxin molecules with an antibody medicine, analyzing by using hydrophilic interaction chromatography conditions, and calculating to obtain the accurate average coupling rate of the antibody coupling medicine. According to the method, through desugaring treatment and hydrophilic interaction chromatography detection in the analysis process, the defect that the separation degree of high-hydrophilicity micromolecules with different coupling ratios is low due to hydrophobicity difference in a traditional method is overcome, so that the measured average coupling rate result is more accurate and real. The method is suitable for coupling a high-hydrophilicity payload drug with a high-glycosylation antibody drug, and is especially suitable for an antibody coupling drug which is high in micromolecule hydrophilicity and has obvious influence on the separation degree of a traditional DAR liquid phase analysis method.

The invention belongs to the technical field of tumor molecular diagnosis and biological information analysis, and relates to a high-throughput sequencing method and system for monitoring acute lymphocytic leukemia (MRD). Through targeted sequencing with a unique molecular identifier and / or a double-chain tag, error modeling based on a background noise spectrum and statistics / machine learning pseudo variation filtering, ultra-deep accurate detection of IG / TCR cloning and related gene low-frequency variation is realized. And an artificial intelligence recurrence risk prediction model is established by combining a time sequence MRD index, cloning diversity and clinical information, and a structured clinical report is output and docked with LIS / HIS. According to the method, the sensitivity and the specificity of ALL minimal residual disease detection can be remarkably improved, dynamic evaluation on leukemia cloning evolution and recurrence risks is realized, and a reliable basis is provided for individualized treatment decision and long-term follow-up visit.

The invention discloses an adversity high-photosynthetic-efficiency transcription factor screening method based on deep learning, and relates to the technical field of biological information analys.The method comprises the steps that rice multi-modal stress response data is obtained and preprocessed, and preprocessed gene expression data is obtained; carrying out differential expression gene screening and co-expression network analysis on the preprocessed gene expression data, extracting multi-modal features, and fusing the multi-modal features to generate a multi-modal input feature matrix; constructing a double-layer deep learning model, training the double-layer deep learning model by using the multi-modal input feature matrix, and respectively outputting a regulation and control relationship matrix of transcription factors and target genes and a regulation and control relationship matrix of transcription factors and target pathways; and according to an output result, calculating a comprehensive score of each transcription factor through a multi-dimensional scoring system, and screening out the stress high-photosynthetic-efficiency transcription factor according to a predetermined screening standard.

The invention relates to the technical field of immunochromatography analysis, and discloses a signal enhancer of a colloidal gold immunochromatography rapid detection card and a preparation method thereof, the signal enhancer comprises a silver ion solution, a thiourea-ascorbic acid synergistic reducing agent, a pH buffer system and a surfactant stabilizing system, the signal amplification is realized by catalyzing and depositing silver nanoparticles on the surface of colloidal gold, the operation is simple and convenient, one-time addition is realized, and the reaction is completed within 5-10 minutes; the sensitivity is improved by 5-10 times, and the specificity is higher than 98%; the stability is excellent, and the storage time is 12 months at 4 DEG C; various colloidal gold rapid detection cards are universally compatible; compared with the prior art, the colloidal gold immunochromatography rapid detection card has the advantages that the cost is controllable, the single detection is increased by 0.3-0.5 yuan, and the colloidal gold immunochromatography rapid detection card is particularly suitable for ultra-sensitive detection of small molecular substances in the field of food safety, for example, the detection limit of malachite green reaches 0.1 microgram per liter, the detection limit of fipronil reaches 0.5 microgram per liter, and the application range of the colloidal gold immunochromatography rapid detection card is obviously expanded.

The invention relates to the technical field of medical data analysis, in particular to a hepatic fibrosis outcome prediction and intervention recommendation method based on dynamic data, which comprises the following steps: collecting biological samples and clinical index data from a target individual at a plurality of continuous time points, and constructing a multi-modal time sequence data set; processing the data set to extract dynamic features reflecting a change process, wherein the dynamic features comprise trend features and event features; inputting the baseline features and the dynamic features of the target individual into a pre-trained hepatic fibrosis outcome prediction model, and outputting hepatic fibrosis index prediction values at a plurality of time points in the future to form a prediction outcome trajectory; when the trajectory meets an early warning condition, matching candidate donors from a pre-constructed donor feature library and generating an intervention recommendation list based on the current state and trajectory features of the target individual; and when new time point data is obtained, updating the data set and repeating the process. According to the method, dynamic and quantitative prediction of the hepatic fibrosis outcome trajectory is realized, and data-driven personalized intervention recommendation is provided.

The invention provides a diabetes development stage identification method and device based on a bio-electricity signal, and relates to the technical field of biological data analysis, and the method comprises the steps: obtaining a bio-electricity signal triple set and diabetes data, the bio-electricity signal triple set comprises a plurality of bio-electricity signal triads, and the diabetes data comprises a diabetes development stage text; obtaining a mapping relation between the bioelectricity signal triple and the diabetes development stage text, and labeling the diabetes development stage text by taking the mapping relation as a label; performing iterative training on the initial diabetes development stage identification model through the bioelectricity signal triple set and the labeled diabetes development stage text set, and obtaining a final diabetes development stage identification model after training is completed; and inputting the to-be-measured bioelectricity signal triple into the final diabetes development stage identification model to carry out diabetes development stage identification so as to obtain a final prediction result of the diabetes development stage.

The application discloses a fish scale protein polypeptide anti-chronic heart failure efficacy evaluation system, relates to the technical field of biological active polypeptide evaluation and cardiovascular disease function analysis, and comprises a raw material processing module for preparing fish scale protein polypeptides, a CHF model construction module for animal experiments, a function detection module, and a data processing and analysis module. Multidimensional statistics and visual algorithm are adopted to integrate tissue remodeling indexes such as heart function, oxidative stress and inflammatory reaction, so that comprehensive evaluation of the efficacy of fish scale protein polypeptides is realized. The application can realize systematic, quantitative and mechanistic evaluation of the anti-chronic heart failure effect of fish scale protein polypeptides, solve the problems of single evaluation index, poor repeatability of results and lack of mechanism correlation in the prior art, and has the advantages of comprehensive evaluation, reliable results, wide application range and strong generalizability.

The invention discloses an electrochemical aptamer sensor for detecting kanamycin as well as a preparation method and application of the electrochemical aptamer sensor, and belongs to the technical field of electrochemical biosensing analysis. According to the invention, a gold electrode assembled with a kanamycin aptamer with sulfydryl is taken as a sensing interface, a target molecule kanamycin is combined to the sensing interface, and a silver nanoparticle-zirconium-based metal organic framework material signal probe is combined with kanamycin on the sensing interface, so that the sandwich type kanamycin electrochemical aptamer sensor is constructed. The kanamycin electrochemical aptamer sensor prepared by the invention has relatively high sensitivity, relatively low detection limit and relatively wide detection range, the detection limit of the sensor is 0.085 aM, and the detection range is 0.1 aM <-1 > nM. The electrochemical aptamer sensor prepared by the invention is used for quantitative detection of kanamycin, and has the advantages of good stability, strong specificity, good reproducibility and the like.

This invention provides a method for constructing a fingerprint spectrum of the Astragalus-Hirudo-Tongluo formula and a method for quality evaluation of its capsules, belonging to the field of traditional Chinese medicine analysis technology. This invention sequentially detects samples using an ultraviolet detector and an evaporative light scattering detector. Under the same chromatographic conditions, using two different detectors for the same sample allows for the simultaneous acquisition of fingerprint spectra of compounds with both strong and weak ultraviolet absorption. This method maximizes the detection of chemical components in the Astragalus-Hirudo-Tongluo formula while saving time and effort. The method is simple, easy to implement, highly sensitive, specific, and robust. Based on the fingerprint spectrum method, this invention identifies chromatographic peaks, thereby achieving better quality control of the Astragalus-Hirudo-Tongluo formula.

The application provides an explainable analysis method and system for burn prediction results, and belongs to the technical field of intelligent burn analysis. The method is to set a target result, continuously adjust biomarkers corresponding to the burn prediction result, obtain improved biomarkers, use a random forest model to predict the improved biomarkers to obtain improved results, continuously adjust the biomarkers corresponding to the burn prediction result until the improvement target is reached, and then explain and analyze the burn prediction result according to the improvement target. The technical problem that the existing technology cannot perform explainable analysis on the grading and typing prediction results by using the machine learning method is solved, a clinically understandable decision basis is formed, and systematic computing support is provided for burn diagnosis and treatment.

The invention provides a papillary thyroid carcinoma neck lymph node metastasis risk prediction method and system based on blood indexes and TI-RADS grading, and relates to the technical field of medical data analysis. According to the method, an original data set is constructed by obtaining TI-RADS classification, the maximum diameter of nodules, the number of nodules, gender, age and conventional hematology indexes including apolipoprotein B and carcino-embryonic antigen of a patient, characteristic variables are screened by adopting LASSO regression, and an independent prediction risk factor model is established in combination with multi-factor Logistic regression. And further constructing a column graph model, carrying out performance verification through multiple statistical indexes, and deploying the model to a webpage calculator based on a shiyapp to realize convenient output of the individualized risk probability. According to the method, efficient and accurate prediction of the preoperative lymph node metastasis risk is realized, and reliable decision support can be provided for clinic.

The invention discloses a fractionation method of an endocrine disrupter in an environmental water body, and belongs to the technical field of water body pollutant analysis. The fractionation method of the endocrine disrupter in the environmental water body comprises the following steps: S1, enriching and concentrating a water sample to obtain a to-be-fractionated liquid; s2, fractionating the to-be-fractionated liquid by adopting an analytical liquid chromatography system and a C18 semi-preparative chromatographic column to obtain fractions. According to the method, high-resolution synchronous fractionation of the endocrine disrupter in a wide polarity range (Log Kw:-0.19-6.62) is realized, the defects of low fractionation efficiency and high solvent consumption of the traditional semi-preparative liquid chromatography are effectively overcome by optimizing a gradient program of an analytical liquid chromatography system, the time and economic cost are saved, and the method is suitable for industrial production. And the fraction can be directly compatible with biological activity test after salting-out-extraction treatment.

The present invention provides a mechanism for sharing an analysis method, by using a container technology.　In the present invention, an analysis system comprises: a first reception means that receives designation of an analysis method to be used in a field of bioinformatics; a second reception means that receives input data to be analyzed using the analysis method being designated; an acquisition means that acquires a container image corresponding to the analysis method being designated from among a plurality of container images each including a program for executing the analysis method to be used in the field and information for achieving an execution environment of the program; an analysis means that executes a container on the basis of the container image being acquired and analyzes the input data being received; and an output means that outputs the result of the analysis.

The invention relates to the technical field of biochemical analysis, and discloses a kit and a method for simultaneously detecting lacosamide and perampanel. The kit comprises a precipitator, a stabilizer and an internal standard agent, the precipitant contains aromatic alcohol and fatty alcohol; the stabilizer contains fatty alcohol; the internal standard agent contains an isotope compound of lacosamide and an isotope compound of perampanel. By adopting the kit and the method, full precipitation of lacosamide and perampanel can be completed at the same time in one step, accurate quantitative detection of the two drugs can be achieved at the same time through the internal standard agent, the process is short, the specificity is good, the sensitivity is high, and an epilepsy patient can obtain accurate therapeutic drug monitoring.

The invention discloses a method for detecting the content of manganese ions in cells, and relates to the technical field of biological and medical analysis. The method comprises the following steps: performing cell lysis, preparing a standard solution, establishing a standard curve and a regression equation of manganese ion concentration and absorbance difference, and calculating the manganese ion content by measuring the absorbance difference between a sample to be detected and a blank sample and combining with protein concentration. The method is simple and convenient to operate, high in sensitivity and suitable for quantitative detection of trace manganese ions in cells, and has a good application prospect.

The application relates to the technical field of gene sequencing data processing and bioinformation analysis, in particular to a Web-based whole-exome sequencing tumor gene mutation detection visual analysis method and system. The system collects user sequencing data and a reference genome version through a Web interactive interface; a program is called to perform quality control cleaning and evaluation on the data, and a visual report is generated; sequence alignment is completed based on the reference genome, and a variation site is identified through algorithm iteration; biological annotation of the variation is combined with a database, a candidate pathogenic mutation set is screened out in multiple levels according to a strategy, the candidate set is projected to a visual interface, a site state is confirmed or removed in response to a manual checking instruction, and a final gene mutation detection report is generated. The application greatly simplifies the whole-exome sequencing data processing procedure, makes it easy for clinical doctors or researchers without bioinformation background to start, and improves the popularization rate and work efficiency of tumor gene detection work.

The invention provides a signal peptide category and cleavage site prediction method and system based on multi-modal characteristics, and belongs to the technical field of biological information analysis. The method comprises the following steps: acquiring an amino acid sequence of a signal peptide sample, and acquiring three-dimensional structure data of the signal peptide by utilizing a protein structure prediction model; obtaining sequence modal input data of the amino acid sequence of the signal peptide, and constructing a structural diagram to obtain structural modal input data; inputting the sequence modal input data into a sequence encoder and a protein language model, and extracting sequence features; inputting the structural modal input data into a structural encoder, and extracting structural features through graph convolution operation; carrying out fusion processing on the sequence features and the structural features to obtain multi-modal feature representation; and outputting a category prediction result and a cleavage site prediction result of the signal peptide through a prediction module. According to the invention, through fusion of the sequence and the structure information, the accuracy of signal peptide prediction and the recognition capability of minority class samples are improved.

The application discloses a fluorescence enhancement anchor agent based on a fluoroboron dipyrrin-tetrazine dye for inflation microscopy technology, and belongs to the technical field of biochemical analysis. The fluorophore of the fluorescence enhancement anchor agent is shown in formula (I), formula (II) or formula (III): the tetrazine group carried by the fluorescence enhancement anchor agent is removed from fluorescence quenching through a biological orthogonal reaction with a drug probe, and the drug probe is shown in formula (IV): the fluorescence enhancement anchor agent can covalently and non-covalently anchor small molecules in a hydrogel network based on a tetrazine biological orthogonal reaction, and realizes inflation microscopic fluorescence imaging of a double fluorescence enhancement mechanism. In addition, the drug probe selects a non-covalent drug, gefitinib, as a probe core, is modified with a BCN click handle, and successfully realizes in-situ fluorescence inflation microscopic imaging of an EGFR drug-target, thereby providing a new tool for research and clinical research on non-covalent drug target co-localization information of exosomes.

The present application belongs to the technical field of extracellular vesicle separation and analysis, and particularly relates to a portable extracellular vesicle separation and analysis system with bubble micro-group self-driven scanning, which comprises a polytetrafluoroethylene micro-flow tube, a dyeing agent, a bubble robot capture carrier with surface antibody functional modification, and a detection module. During operation, the bubble robot is driven by buoyancy to perform reciprocating scanning movement along the axial direction of the tube by tilting the micro-flow tube, so as to actively and efficiently capture target extracellular vesicles in the sample. After capture, the bubble robot is detected by using a fluorescently labeled ssDNA dyeing agent, and the bubble robot transferred to the observation carrier is subjected to fluorescent signal analysis by the detection module. The system integrates new materials and micro-flow control technology, realizes rapid and portable separation and quantitative analysis of extracellular vesicles, solves the problems of existing extracellular vesicle separation technology, such as complicated operation, dependence on large equipment and difficulty in realizing rapid on-site detection, and is particularly suitable for on-site detection of clinical samples.

The invention provides a space transcriptome data analysis system based on a PDX model, and relates to the technical field of biological information analysis. Comprising the following steps: extracting a coordinate identifier, a molecular identifier and a sample transcript sequence in a sequencing sequence; analyzing a sample transcript sequence, and preliminarily classifying a sequencing sequence into a first sequence, a second sequence, an uncertain sequence and a discarded sequence; calculating a first ratio under each sub-box; classifying the sub-boxes into a first sub-box and a second sub-box according to the first ratio; re-classifying the uncertain sequences in the first sub-box into a first sequence, and re-classifying the uncertain sequences in the second sub-box into a second sequence; and S104, respectively merging and analyzing all the first sequences and the second sequences to obtain a first space gene expression profile and a second space gene expression profile. According to the method provided by the invention, the distribution accuracy of the gene expression quantity of the space transcriptome and the utilization rate of the sequencing sequence are improved.

The invention belongs to the technical field of biological detection, and particularly relates to an optimization method for evaluating the whitening effect of cosmetics through zebra fish and application. According to the method, fertilized zebrafish is grouped, temperature is controlled for a dark incubation period, the pH value of an administration solution is regulated and controlled, an image analysis technology, molecular biology, a transgenic technology and the like are combined to optimize a zebrafish-based cosmetic whitening effect evaluation system, and multi-index comprehensive evaluation is carried out. A rapid, reliable and ethical acceptable in-vivo evaluation scheme is provided for the whitening effect of the cosmetics; the method can be applied to screening and mechanism research of whitening active ingredients, and provides more scientific basis for product development.

The invention relates to the technical field of forensic genetic analysis, and provides a mixed STR map splitting system and method, a computer device and a medium. The mixed STR atlas splitting system comprises a DNA encoder, a feature projector, a separator, an output layer and a DNA decoder; the DNA encoder converts the original DNA features into high-dimensional features; the feature projector normalizes the high-dimensional features, and then one-dimensional convolution is used to obtain projected features; the separator separates the projected features into a plurality of independent contributor features; the output layer depends on the characteristics of the contributor and adopts a projection convolution and Sigmoid activation module to generate a normalized characteristic mask, and a DNA decoder depends on the normalized characteristic mask obtained by the output layer to complete DNA characteristic unmixing. According to the invention, through multichannel feature analysis and progressive separation, the limitations of insufficient feature extraction and low separation precision in traditional STR atlas analysis are broken through, and the separation accuracy and speed of multi-contributor DNA samples are significantly improved.

The invention discloses a functionalized microarray pore plate, a preparation method thereof and application of the functionalized microarray pore plate in membrane protein ligand screening, and belongs to the technical field of biological medicine analysis. Amino and vinyl sulfuryl are covalently modified on the surface of the microarray pore plate to introduce an active site which can be specifically covalently bound with a membrane protein or a tag group, so that directional fixation of a target membrane protein on the surface of the microarray pore plate is realized, and the functionalized microarray pore plate is obtained. A functional microarray pore plate and a specific fluorescent probe are combined to screen a membrane protein ligand, the specific fluorescent probe is combined with a receptor active site of a fixed protein, and a detectable fluorescence signal change is generated by utilizing a competitive replacement mechanism of the probe and a candidate compound at the active site; the method is used for in-vitro screening and discovery of potential membrane protein ligands.

The invention discloses a KRAS protein conformation change simulation method and system based on multi-sample analysis, and belongs to the technical field of multi-sample analysis. The method comprises the following steps: collecting multi-sample molecular dynamics simulation data, calculating energy difference between conformations, and constructing an energy difference mapping matrix; then, based on a joint criterion of an energy difference mean value and an energy gradient change rate, a hierarchical clustering algorithm is adopted to divide a conformation energy space into a main steady-state region, a metastable-state region and a transition-state region, and a conformation hierarchical tree structure is formed; and extracting a key channel and a stable sub-state of conformation transformation according to the relationship between the energy fluctuation characteristics and transformation paths of various intervals, thereby realizing quantitative description and energy path identification of the KRAS protein conformation change. According to the method, dynamic conformation relations under different energy levels are effectively distinguished, a new calculation and analysis means is provided for conformation regulation and control and drug binding site recognition of a complex biomolecular system, and the method has the advantages of being high in accuracy, high in universality and good in expandability.

The application belongs to the technical field of detection and analysis, and discloses a normal phase detection method for imine reaction control. The method is detected by normal phase liquid chromatography, and the detection conditions include: a polysaccharide derivative normal phase coated type chiral chromatographic column is used, and a mixed solution of n-hexane, ethanol, ethylenediamine and trifluoroacetic acid is used as the mobile phase, wherein the volume ratio of n-hexane, ethanol, ethylenediamine and trifluoroacetic acid is (75-85):(15-25):(0.05-0.15):(0.05-0.15). The method can realize effective separation, detect the content of 1,2,3,4,10,14B-hexahydrodibenzo[C,F]pyrazino[1,2-A]azepine in the reaction solution, and has the advantages of simplicity, accuracy, rapidness and reliability.

The invention belongs to the technical field of biological medicine analysis, and particularly relates to a fluorescent probe sequentially responding to gamma-glutamyltranspeptidase and monoamine oxidase and application of the fluorescent probe. The structure of the fluorescent probe is as shown in a formula 1, the fluorescent probe in the formula 1 is constructed by sequentially covalently connecting gamma-glutamyltranspeptidase and specific recognition groups of monoamine oxidase and integrating the gamma-glutamyltranspeptidase and the specific recognition groups of monoamine oxidase into a benzothiazole-xanthene fluorescent parent structure, and the fluorescent probe has near-infrared fluorescence luminescence performance. The probe adopts a double enzyme response activation strategy, and can be activated and generate a fluorescence signal only when gamma-glutamyltranspeptidase and monoamine oxidase exist at the same time, so that the fluorescence probe is high in specificity and has excellent accuracy and specificity in the aspects of pathological imaging, drug safety evaluation and the like.

The invention discloses a method for analyzing serum differential expression protein characteristics of an AQP4-IgG positive NMOSD patient, and relates to the technical field of differential expression protein characteristic analysis, and the method comprises the following steps: S1, collecting a serum sample of a to-be-detected subject; s2, carrying out protein detection on the serum sample to obtain expression level data of at least one or more of PRDX2, CLU, ECM1, CFD, GPI and S100A8, wherein the expression level data is one or more of PRDX2, CLU, ECM1, CFD, GPI and S100A8; s3, carrying out comparative analysis on the expression level of the serum protein and a pre-established AQP4-IgG positive NMOSD serum protein expression characteristic reference standard; according to the method for auxiliary diagnosis of the AQP4-IgG positive neuromyelitis optica pedigree disease provided by the invention, a judgment mode capable of reflecting molecular characteristics of the AQP4-IgG positive neuromyelitis optica pedigree disease is constructed by carrying out conjoint analysis on various serum protein expression characteristics related to immunoregulation, inflammatory response, complement activation and metabolism; therefore, the problem of insufficient detection stability of a single biomarker is avoided.