Data mining analysis method and system for thyroid stimulating hormone receptor antibody response

Abstract

The invention relates to the technical field of medical data analysis, in particular to a thyroid stimulating hormone receptor antibody reaction data mining analysis method and system. The method comprises the following steps: obtaining a thyroid stimulating hormone receptor antibody reaction gene sequence, and carrying out antibody reaction level analysis and reaction mutation site recognition and screening to obtain a thyroid stimulating antibody abnormal reaction gene sequence corresponding to a functional mutation site; carrying out abnormal reaction characteristic factor analysis and association rule mining analysis between reaction mutation and functional indexes on the thyroid stimulating antibody abnormal reaction gene sequence corresponding to the functional mutation site; and carrying out antibody reaction mutation influence factor analysis on the thyroid stimulating antibody abnormal reaction gene sequence corresponding to the functional mutation site to obtain the thyroid stimulating hormone receptor antibody reaction mutation influence factor. According to the method, mutation influence factors related to thyroid stimulating hormone receptor antibody reaction can be analyzed through an efficient data processing and analysis technology.

Description

Technical Field

[0001] The present invention relates to the technical field of medical data analysis, and in particular to a data mining and analysis method and system for thyroid stimulating hormone receptor antibody reaction. Background Art

[0002] Thyroid stimulating hormone receptor antibodies (TSHR-Ab) are important immune markers that cause hyperthyroidism (such as Graves' disease) and hypothyroidism (such as Hashimoto's disease). After binding to thyroid hormone receptors, they cause abnormal thyroid hormone secretion, thereby affecting the patient's clinical symptoms. At present, the detection methods of thyroid stimulating hormone receptor antibodies mainly include immunochemiluminescence, radioimmunoassay, ELISA (enzyme-linked immunosorbent assay), etc. These methods can quantitatively or qualitatively detect the concentration of TSHR-Ab in serum. However, the existing antibody reaction detection methods usually rely on static antibody concentration data, while ignoring the comprehensive mining analysis between antibody reaction levels and TSHR-Ab functional indicators, thereby affecting the efficiency and accuracy of thyroid stimulating hormone receptor antibody reaction analysis. Summary of the invention

[0003] Based on this, it is necessary for the present invention to provide a data mining analysis method and system for thyroid stimulating hormone receptor antibody reaction to solve at least one of the above technical problems.

[0004] To achieve the above object, a data mining and analysis method for thyroid stimulating hormone receptor antibody response comprises the following steps: Step S1: obtaining a thyroid stimulating hormone receptor antibody response gene sequence, and performing an antibody response level analysis on the thyroid stimulating hormone receptor antibody response gene sequence to obtain a thyroid stimulating hormone receptor antibody response level; based on the thyroid stimulating hormone receptor antibody response level, performing response mutation site identification and screening on the thyroid stimulating hormone receptor antibody response gene sequence to obtain a thyroid stimulating antibody abnormal response gene sequence corresponding to a functional mutation site; Step S2: performing abnormal reaction characteristic factor analysis on the thyroid stimulating antibody abnormal reaction gene sequence corresponding to the functional mutation site to obtain the thyroid stimulating antibody abnormal reaction mutation characteristic factor; obtaining thyroid stimulating hormone receptor experimental data, wherein the thyroid stimulating hormone receptor experimental data includes TSH level, T3 level and T4 level, and performing association rule mining analysis on the thyroid stimulating hormone receptor experimental data between reaction mutation and functional index based on the thyroid stimulating antibody abnormal reaction mutation characteristic factor to obtain the association rule relationship between the thyroid stimulating antibody abnormal reaction mutation and the functional index; Step S3: Based on the association rule relationship between the abnormal thyroid stimulating antibody reaction mutation and the functional index, the antibody reaction mutation influencing factors are analyzed for the abnormal thyroid stimulating antibody reaction gene sequence corresponding to the functional mutation site to obtain the thyroid stimulating hormone receptor antibody reaction mutation influencing factors.

[0005] Furthermore, the present invention also provides a data mining and analysis system for thyroid stimulating hormone receptor antibody reaction, which is used to execute the data mining and analysis method for thyroid stimulating hormone receptor antibody reaction as described above. The data mining and analysis system for thyroid stimulating hormone receptor antibody reaction comprises: The antibody response mutation abnormal screening module is used to obtain the thyroid stimulating hormone receptor antibody response gene sequence, and perform antibody response level analysis on the thyroid stimulating hormone receptor antibody response gene sequence to obtain the thyroid stimulating hormone receptor antibody response level; based on the thyroid stimulating hormone receptor antibody response level, the thyroid stimulating hormone receptor antibody response gene sequence is subjected to response mutation site identification and screening, thereby obtaining the thyroid stimulating hormone receptor antibody abnormal response gene sequence corresponding to the functional mutation site; The reaction mutation and functional index association mining module is used to perform abnormal reaction characteristic factor analysis on the thyroid stimulating antibody abnormal reaction gene sequence corresponding to the functional mutation site to obtain the thyroid stimulating antibody abnormal reaction mutation characteristic factor; obtain thyroid stimulating hormone receptor experimental data, wherein the thyroid stimulating hormone receptor experimental data includes TSH level, T3 level and T4 level, and perform association rule mining analysis between reaction mutation and functional index on the thyroid stimulating hormone receptor experimental data based on the thyroid stimulating antibody abnormal reaction mutation characteristic factor, so as to obtain the association rule relationship between the thyroid stimulating antibody abnormal reaction mutation and the functional index; The antibody response mutation influencing factor analysis module is used to analyze the antibody response mutation influencing factors of the thyroid stimulating antibody abnormal response gene sequence corresponding to the functional mutation site based on the association rule relationship between the thyroid stimulating antibody abnormal response mutation and the functional index, so as to obtain the thyroid stimulating hormone receptor antibody response mutation influencing factors.

[0006] Beneficial effects of the present invention: 1. The data mining and analysis method of thyroid stimulating hormone receptor antibody response proposed in the present invention, compared with the prior art, has the beneficial effect that by extracting antibody response gene sequences related to thyroid stimulating hormone receptor (TSHR) from clinical samples, it can provide important basic data for subsequent analysis. The key to this process is to ensure the representativeness and accuracy of the sample. Through efficient gene extraction technology and precise sample processing, high-quality DNA or RNA samples can be obtained, thereby providing basic data guarantee for subsequent data mining and analysis. By performing antibody response level analysis on thyroid stimulating hormone receptor antibody response gene sequences, the immune response strength of thyroid stimulating hormone receptor antibodies can be deeply evaluated. Antibody response level analysis is crucial for understanding the strength of immune response, antibody specificity, and interaction with target genes. By using various immunological analysis methods, such as ELISA, Western blot, flow cytometry, etc., the binding of antibodies to antigens can be quantitatively detected and the response efficacy of antibodies can be evaluated. At the same time, by identifying and screening the reaction mutation sites of the thyroid stimulating hormone receptor antibody reaction gene sequence based on the thyroid stimulating hormone receptor antibody reaction level, the gene sequence related to the functional mutation site was screened out. The advantage of this process is that it can identify the mutation sites in the gene that cause abnormal thyroid stimulating hormone receptor antibody reaction. By analyzing the association between the antibody reaction level and the gene mutation, the researchers can reveal which mutations cause abnormal antibody production, thereby affecting the normal regulation of thyroid function, so as to provide more accurate target information for the subsequent treatment process. Then, by analyzing the abnormal reaction characteristic factors of the thyroid stimulating antibody abnormal reaction gene sequence corresponding to the functional mutation site, the relationship between thyroid stimulating antibodies (such as anti-thyroid peroxidase antibodies, anti-thyroglobulin antibodies, etc.) and functional mutation sites was deeply analyzed, and the gene mutation characteristic factors related to thyroid dysfunction were revealed. This analysis can not only help scientists and medical researchers identify the gene mutations that cause thyroid dysfunction, but also reveal the mechanism of action of different mutations in immune response. Through this process, molecular markers can be provided for the precise analysis of thyroid dysfunction, and a theoretical basis can be provided for targeted mining analysis, which is helpful to understand the deep-seated causes of thyroid immunopathology. By obtaining thyroid-stimulating hormone receptor experimental data (including TSH, T3, and T4 levels), researchers can provide a comprehensive assessment of thyroid function. TSH levels reflect the functional status of the hypothalamus-pituitary-thyroid axis, while T3 and T4 levels directly affect the body's metabolism, energy consumption, and various physiological processes. The experimental data provides an accurate thyroid function status assessment tool for subsequent association mining analysis, which helps to reveal the regulatory mechanism of thyroid function.By mining the association rules between the reaction mutation and functional indicators of the thyroid stimulating hormone receptor experimental data based on the characteristic factors of abnormal thyroid stimulating antibody reaction mutations, the relationship between abnormal thyroid stimulating antibody reaction mutations and thyroid function indicators (such as TSH, T3 / T4 ratio) can be deeply analyzed, and the potential rules and patterns between mutations and functional status can be identified. This analysis can reveal how different gene mutations affect thyroid hormone levels and immune responses in different individuals, and can also extract the important associations between mutations and functional indicators, thereby improving the efficiency and accuracy of subsequent abnormal analysis of thyroid stimulating hormone receptor antibody reactions. Finally, based on the association rule relationship between abnormal thyroid stimulating antibody reaction mutations and functional indicators, the antibody reaction mutation influencing factors of abnormal thyroid stimulating antibody reaction gene sequences with functional mutation sites are analyzed to determine the influencing factors of thyroid stimulating hormone receptor antibody reaction mutations. The implementation of this step can not only clarify which external or internal factors will cause mutations and abnormalities in immune responses, but also provide potential intervention targets for subsequent improvement processes. For example, the interaction between corresponding environmental factors and genetic biological factors on the network of mutation influencing factors. The role of environmental factors (such as pollution, diet, drug exposure, etc.) and genetic biological factors (such as gene expression, gene polymorphism, etc.) in the formation of mutation sites and antibody response has been confirmed by a large number of studies. By introducing these influencing factors, we can fully understand the multi-dimensional influencing mechanism of thyroid stimulating hormone receptor antibody response. Specifically, environmental factors and genetic biological factors can affect the production of thyroid hormone receptor antibodies by changing the function of the immune system. For example, certain environmental pollutants interact with specific mutation sites in genes to enhance abnormal antibody responses, while certain gene mutations will cause individuals to exhibit different immune responses when facing specific environmental factors. By comprehensively analyzing the mechanism of action of the environment and genes, we can identify the key factors that have a significant impact on the thyroid stimulating hormone receptor antibody response, thereby providing more theoretical basis for subsequent processing.

[0007] 2. The data mining and analysis system for thyroid stimulating hormone receptor antibody response proposed in the present invention is generally composed of an antibody response mutation abnormality screening module, a response mutation and functional index association mining module, and an antibody response mutation influencing factor analysis module. It can realize the data mining and analysis method for any thyroid stimulating hormone receptor antibody response described in the present invention, and is used to combine the operations between computer programs running on each module to realize the data mining and analysis method for thyroid stimulating hormone receptor antibody response. The internal structures of the system cooperate with each other, which can greatly reduce duplication of work and manpower investment, and can quickly and effectively provide a more accurate and efficient data mining and analysis process for thyroid stimulating hormone receptor antibody response, thereby simplifying the operating procedures of the data mining and analysis system for thyroid stimulating hormone receptor antibody response. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments thereof made with reference to the following drawings: Figure 1 A schematic flow chart of the steps of the data mining and analysis method for thyroid stimulating hormone receptor antibody response of the present invention; Figure 2 for Figure 1 Detailed step flow diagram of step S1; Figure 3 for Figure 2 Detailed step flow diagram of step S14; Figure 4 This is an image of the thyroid stimulating hormone receptor antibody binding kinetics. DETAILED DESCRIPTION

[0009] The technical method of the present invention is described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by technicians in this field without creative work are within the scope of protection of the present invention.

[0010] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor methods and / or microcontroller methods.

[0011] It should be understood that, although the terms "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are used only to distinguish one unit from another unit. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0012] To achieve this, please refer to Figures 1 to 4 The present invention provides a data mining and analysis method for thyroid stimulating hormone receptor antibody response, the method comprising the following steps: Step S1: obtaining a thyroid stimulating hormone receptor antibody response gene sequence, and performing an antibody response level analysis on the thyroid stimulating hormone receptor antibody response gene sequence to obtain a thyroid stimulating hormone receptor antibody response level; based on the thyroid stimulating hormone receptor antibody response level, performing response mutation site identification and screening on the thyroid stimulating hormone receptor antibody response gene sequence to obtain a thyroid stimulating antibody abnormal response gene sequence corresponding to a functional mutation site; Step S2: performing abnormal reaction characteristic factor analysis on the thyroid stimulating antibody abnormal reaction gene sequence corresponding to the functional mutation site to obtain the thyroid stimulating antibody abnormal reaction mutation characteristic factor; obtaining thyroid stimulating hormone receptor experimental data, wherein the thyroid stimulating hormone receptor experimental data includes TSH level, T3 level and T4 level, and performing association rule mining analysis on the thyroid stimulating hormone receptor experimental data between reaction mutation and functional index based on the thyroid stimulating antibody abnormal reaction mutation characteristic factor to obtain the association rule relationship between the thyroid stimulating antibody abnormal reaction mutation and the functional index; Step S3: Based on the association rule relationship between the abnormal thyroid stimulating antibody reaction mutation and the functional index, the antibody reaction mutation influencing factors are analyzed for the abnormal thyroid stimulating antibody reaction gene sequence corresponding to the functional mutation site to obtain the thyroid stimulating hormone receptor antibody reaction mutation influencing factors.

[0013] In the embodiment of the present invention, please refer to Figure 1 FIG. 1 is a schematic diagram of the steps of the data mining and analysis method for thyroid stimulating hormone receptor antibody response of the present invention. In this example, the data mining and analysis method for thyroid stimulating hormone receptor antibody response includes the following steps: Step S1: obtaining a thyroid stimulating hormone receptor antibody response gene sequence, and performing an antibody response level analysis on the thyroid stimulating hormone receptor antibody response gene sequence to obtain a thyroid stimulating hormone receptor antibody response level; based on the thyroid stimulating hormone receptor antibody response level, performing response mutation site identification and screening on the thyroid stimulating hormone receptor antibody response gene sequence to obtain a thyroid stimulating antibody abnormal response gene sequence corresponding to a functional mutation site; In an embodiment of the present invention, relevant genetic materials are extracted from clinical samples, usually high-quality tissue or blood samples, and DNA extraction is performed on the samples to ensure that the extract does not contain too many contaminants, thereby obtaining the gene sequence of thyroid stimulating hormone receptor antibody reaction. After obtaining the gene sequence related to the thyroid stimulating hormone receptor, the reaction of the gene sequence is observed using a specific probe, and probes for specific regions in the target gene sequence are selected. These probes can be labeled with markers (such as fluorescent dyes or radioactive markers). When performing probe hybridization, the probes are combined with the target DNA sequence in the sample to be detected. By optimizing the temperature and time, the probes and the DNA sequence are fully combined, and the combination of the probes is confirmed by observation using a microscope or fluorescent imaging equipment. During the experiment, the reaction sequence spectrum of the reaction area can be extracted by a computer-assisted image analysis system, and specific single-stranded DNA primers are designed and synthesized based on the target gene sequence identified in the spectrum to ensure the primers. In order to determine the binding specificity between the target gene and the target gene sequence, an efficient PCR reaction system is selected, and PCR amplification is performed under appropriate reaction conditions (such as temperature, time, and number of cycles). The PCR product is monitored in real time to confirm that the size of the amplified product is consistent with the target gene sequence. At the same time, an appropriate amount of the target gene amplified product is used for an immune reaction experiment with a known concentration of thyrotropin receptor antibody. The binding reaction between the antibody and the target gene is detected by enzyme-linked immunosorbent assay (ELISA), immunoprecipitation, immunofluorescence, etc., and the intensity of the antibody reaction is measured by precise detection equipment, such as a microplate reader or a fluorescence microscope. The reaction intensity can be quantified by comparing it with a standard sample, thereby obtaining the thyrotropin receptor antibody reaction level. Then, based on the previously quantified thyroid stimulating hormone receptor antibody response level, the corresponding gene sequence can be deeply analyzed. In this step, first, samples with abnormal responses are screened out based on the level of response. For these samples, potential mutation sites are further found by comparing their gene sequences with reference sequences in normal samples. By applying bioinformatics tools, such as sequence alignment software and mutation prediction models, functional mutation sites associated with abnormal antibody responses are identified. These mutation sites are closely related to the binding affinity of the antibody, the immune reactivity produced by the antibody, and the functional state of the receptor. These mutation sites are mapped to the thyroid stimulating hormone receptor gene sequence, and finally the abnormal thyroid stimulating antibody response gene sequence corresponding to the functional mutation sites is obtained.

[0014] Step S2: performing abnormal reaction characteristic factor analysis on the thyroid stimulating antibody abnormal reaction gene sequence corresponding to the functional mutation site to obtain the thyroid stimulating antibody abnormal reaction mutation characteristic factor; obtaining thyroid stimulating hormone receptor experimental data, wherein the thyroid stimulating hormone receptor experimental data includes TSH level, T3 level and T4 level, and performing association rule mining analysis on the thyroid stimulating hormone receptor experimental data between reaction mutation and functional index based on the thyroid stimulating antibody abnormal reaction mutation characteristic factor to obtain the association rule relationship between the thyroid stimulating antibody abnormal reaction mutation and the functional index; In an embodiment of the present invention, mutation screening is performed on the whole genome or specific regions of the gene sequences corresponding to the abnormal thyroid-stimulating antibody reaction with functional mutation sites, especially those gene sites known to be related to the thyroid-stimulating antibody reaction. This process is usually completed with the help of high-throughput sequencing technology (such as Illumina sequencing platform). The acquired genomic data will be used for mutation detection through bioinformatics tools (such as GATK or Samtools), with particular attention to functional mutations. For each detected mutation site, a statistical analysis method (such as Fisher's exact test or chi-square test) is applied to evaluate the relationship between the mutation site and the abnormal thyroid-stimulating antibody reaction. These mutation sites are used as input data, and machine learning algorithms (such as random forests, support vector machines, etc.) are used to extract their contribution characteristic factors to the abnormal thyroid-stimulating antibody reaction, including genetic mutation sites, mutation conditions of genes related to the immune system reaction, etc., so as to obtain the abnormal thyroid-stimulating antibody reaction mutation characteristic factors. By obtaining experimental data related to thyroid stimulating hormone receptors from clinical laboratories, including thyroid stimulating hormone (TSH) levels, triiodothyronine (T3) levels, and tetraiodothyronine (T4) levels, these data are usually obtained through the analysis of blood samples. In the laboratory, calibrated equipment is used to detect the concentrations of TSH, T3, and T4 in patient blood samples to ensure the accuracy and comparability of the data, thereby obtaining thyroid stimulating hormone receptor experimental data, including TSH levels, T3 levels, and T4 levels. At the same time, after obtaining the experimental data of TSH, T3, and T4, the following formula is used for calculation: , generate the T3 / T4 ratio for each sample, and match the abnormal thyroid-stimulating antibody reaction mutation characteristic factors obtained in the previous analysis with the TSH level and T3 / T4 ratio. This matching process is usually completed through a unique patient identifier (such as an ID number) in the clinical database to ensure that each patient's gene mutation information corresponds to their thyroid function data one by one, and construct an association matrix between the mutation factors and the functional hormone level by using multivariate statistical analysis methods (such as multiple regression analysis, canonical correlation analysis, principal component analysis, etc.). This matrix will reveal how specific mutation sites affect TSH levels and T3 / T4 ratios, thereby deriving the association matrix between each mutation factor and the functional hormone index. Then, based on the previously obtained abnormal thyroid-stimulating antibody reaction mutation characteristic factors, the correlation matrix between each mutation factor and the functional hormone index is derived. The reaction mutation factor-functional hormone level association matrix uses data mining techniques (such as association rule mining algorithm, Apriori algorithm, FP-growth algorithm, etc.) to conduct in-depth analysis on the relationship between mutation factors and functional indicators. Through these technologies, the potential rules between different mutation characteristic factors and thyroid hormone functional levels can be automatically identified. For example, certain specific mutation sites will be found to be closely related to the increase of TSH or the abnormality of T3 / T4 ratio, and then the gene mutation pattern related to thyroid dysfunction can be inferred. The analysis results will generate a set of association rules to describe the mutual influence and rules between different mutations and thyroid function indicators, and finally obtain the association rule relationship between abnormal thyroid-stimulating antibody reaction mutations and functional indicators.

[0015] Step S3: Based on the association rule relationship between the abnormal thyroid stimulating antibody reaction mutation and the functional index, the antibody reaction mutation influencing factors are analyzed for the abnormal thyroid stimulating antibody reaction gene sequence corresponding to the functional mutation site to obtain the thyroid stimulating hormone receptor antibody reaction mutation influencing factors.

[0016] In an embodiment of the present invention, the potential association between abnormal thyroid stimulating antibody reaction mutations and functional indicators obtained by previous analysis is determined, and the relevant functional mutation sites are selected, and the association between them and thyroid stimulating hormone receptor antibody reaction is analyzed one by one, and these mutation sites are matched with relevant functional indicators (for example, thyroid stimulating hormone level, TRAB expression level, thyroid function indicators, etc.), and the association map between each mutation site and the corresponding functional indicator is drawn. The association between the mutation site and the functional indicator is represented by nodes and edges, and the nodes represent different mutation sites or functional indicators. The strength of the edge represents the strength of the association between them, and the previously drawn functional association influence point map is systematically analyzed. In order to deeply mine the data in the map, a map analysis algorithm (such as a community detection algorithm, a network topology analysis, etc.) is used to identify the key influencing factors therein. The specific operation includes using a graph algorithm (such as PageRank, Betweenness centrality analysis) to evaluate the key nodes between the mutation site and the functional indicator, identify those mutation sites that are closely related to the thyroid stimulating hormone receptor antibody reaction, and identify the mutations that have the greatest impact on the abnormal thyroid stimulating hormone receptor antibody reaction. Factors are used to construct a network of mutation influencing factors. Then, environmental factors and genetic biological factors related to TSH receptor antibody response are obtained, including patients' living habits, dietary structure, drug use history, exposure to harmful substances, etc. Genetic biological factors include family history, known genetic susceptibility to thyroid diseases, etc. Subsequently, environmental factors and genetic biological factors are combined with the previously constructed network of mutation influencing factors for a more in-depth analysis. Specific methods include using multivariate analysis (such as multivariate regression analysis) to evaluate how these factors work together on TSH receptor antibody response. Key environmental factors and genetic factors that affect thyroid antibody response can be identified, and their relationship with mutation sites can be further analyzed. Bioinformatics platforms (such as R / Bioconductor or pandas, scikit-learn and other libraries in Python) can be used for data processing and modeling. Combined with existing gene-environment interaction analysis tools, the performance differences of different mutation sites in different environments and genetic backgrounds can be analyzed. In this process, the focus is on revealing how mutation sites exert different functional effects in specific environments, identifying mutation influencing factors, and finally obtaining TSH receptor antibody response mutation influencing factors.

[0017] Further, step S1 includes the following steps: Step S11: obtaining the thyroid stimulating hormone receptor antibody response gene sequence corresponding to the clinical sample; Step S12: using a specific probe and a microscope to observe the gene sequence reaction of the thyroid stimulating hormone receptor antibody reaction gene sequence to generate a thyroid stimulating hormone receptor antibody reaction sequence spectrum; Step S13: performing PCR amplification on the target antibody gene sequence corresponding to the thyroid stimulating hormone receptor antibody reaction sequence spectrum according to the preset specific single-stranded DNA primers to obtain a high-concentration target gene amplification product corresponding to the thyroid stimulating hormone receptor target antibody gene sequence; Step S14: performing antibody reaction level analysis on the high-concentration target gene amplification product based on the thyroid stimulating hormone receptor antibody to obtain the thyroid stimulating hormone receptor antibody reaction level; Step S15: Based on the thyroid stimulating hormone receptor antibody response level, the thyroid stimulating hormone receptor antibody response gene sequence is identified and screened for response mutation sites to obtain the thyroid stimulating antibody abnormal response gene sequence corresponding to the functional mutation site.

[0018] As an embodiment of the present invention, refer to Figure 2 As shown, Figure 1 Detailed step flow diagram of step S1 in FIG. 1 , in this embodiment, step S1 includes the following steps: Step S11: obtaining the thyroid stimulating hormone receptor antibody response gene sequence corresponding to the clinical sample; In an embodiment of the present invention, relevant genetic materials are extracted from clinical samples, usually high-quality tissue or blood samples, and the samples are subjected to DNA extraction processing to ensure that the extract does not contain excessive contaminants, especially the gene sequence of the thyroid stimulating hormone receptor (TSHR) related region is extracted, and finally the thyroid stimulating hormone receptor antibody response gene sequence is obtained.

[0019] Step S12: using a specific probe and a microscope to observe the gene sequence reaction of the thyroid stimulating hormone receptor antibody reaction gene sequence to generate a thyroid stimulating hormone receptor antibody reaction sequence spectrum; In an embodiment of the present invention, after obtaining the gene sequence related to the thyroid stimulating hormone receptor, the reaction of the gene sequence is observed using a specific probe, and probes targeting specific regions in the target gene sequence are selected. These probes can be labeled with markers (such as fluorescent dyes or radioactive markers). When performing probe hybridization, the probes are combined with the target DNA sequence in the sample to be detected. By optimizing the temperature and time, the full combination of the probe and the DNA sequence is ensured, and the binding of the probe is confirmed by observation using a microscope or fluorescent imaging equipment. During the experiment, the signal intensity of the reaction area can be extracted by a computer-assisted image analysis system, and finally a thyroid stimulating hormone receptor antibody reaction sequence spectrum is generated.

[0020] Step S13: performing PCR amplification on the target antibody gene sequence corresponding to the thyroid stimulating hormone receptor antibody reaction sequence spectrum according to the preset specific single-stranded DNA primers to obtain a high-concentration target gene amplification product corresponding to the thyroid stimulating hormone receptor target antibody gene sequence; In an embodiment of the present invention, by using the previously generated thyroid stimulating hormone receptor antibody reaction sequence spectrum, a reference can be provided for the next PCR amplification. In this step, specific single-stranded DNA primers are designed and synthesized based on the target gene sequence identified in the spectrum to ensure the binding specificity of the primers to the target gene sequence. An efficient PCR reaction system is selected to perform PCR amplification under appropriate reaction conditions (such as temperature, time, and number of cycles) to ensure the efficiency and specificity of the amplification process by real-time monitoring of the PCR products. After the amplification is completed, the PCR products are verified using gel electrophoresis technology to confirm that the size of the amplified product is consistent with the target gene sequence. After purification, a high-concentration target gene amplification product is obtained, and finally a high-concentration target gene amplification product corresponding to the thyroid stimulating hormone receptor target antibody gene sequence is obtained.

[0021] Step S14: performing antibody reaction level analysis on the high-concentration target gene amplification product based on the thyroid stimulating hormone receptor antibody to obtain the thyroid stimulating hormone receptor antibody reaction level; In an embodiment of the present invention, an immune reaction experiment is carried out by taking an appropriate amount of high-concentration target gene amplification product and a known concentration of thyroid stimulating hormone receptor antibody, and the binding reaction of the antibody and the target gene is detected by enzyme-linked immunosorbent assay (ELISA), immunoprecipitation, immunofluorescence and the like. The intensity of the antibody reaction is measured by precise detection equipment, such as a microplate reader or a fluorescence microscope. The reaction intensity can be quantified by comparing with a standard sample to obtain the reaction level of the thyroid stimulating hormone receptor antibody. The purpose of this step is to evaluate the antibody reaction levels between different samples and ultimately obtain the thyroid stimulating hormone receptor antibody reaction level.

[0022] Step S15: Based on the thyroid stimulating hormone receptor antibody response level, the thyroid stimulating hormone receptor antibody response gene sequence is identified and screened for response mutation sites to obtain the thyroid stimulating antibody abnormal response gene sequence corresponding to the functional mutation site.

[0023] In an embodiment of the present invention, the corresponding gene sequence can be deeply analyzed based on the thyroid stimulating hormone receptor antibody response level obtained by previous quantification. In this step, first, samples with abnormal responses are screened out based on the level of response. For these samples, potential mutation sites are further found by comparing their gene sequences with reference sequences in normal samples. By applying bioinformatics tools, such as sequence alignment software and mutation prediction models, functional mutation sites associated with abnormal antibody responses are identified. These mutation sites are closely related to the binding affinity of the antibody, the immune reactivity produced by the antibody, and the functional state of the receptor. These mutation sites are mapped to the thyroid stimulating hormone receptor gene sequence to obtain the target gene sequence of the abnormal response, and finally the thyroid stimulating antibody abnormal response gene sequence corresponding to the functional mutation site is obtained.

[0024] Further, step S14 includes the following steps: Step S141: performing an antibody binding reaction on the thyroid stimulating hormone receptor antibody and the high-concentration target gene amplification product, and using magnetic beads to capture the reaction complex during the binding reaction between the thyroid stimulating hormone receptor antibody and the high-concentration target gene amplification product to obtain a thyroid stimulating hormone receptor antibody-target gene complex; Step S142: measuring the antibody binding amount of the thyroid stimulating hormone receptor antibody-target gene complex by enzyme labeling to obtain the thyroid stimulating hormone receptor antibody reaction binding amount; Step S143: obtaining the corresponding thyroid stimulating hormone receptor antibody reaction time through the binding reaction process between the thyroid stimulating hormone receptor antibody and the high-concentration target gene amplification product, and performing quantitative calculation of the antibody binding rate of the thyroid stimulating hormone receptor antibody reaction binding amount based on the thyroid stimulating hormone receptor antibody reaction time to obtain a thyroid stimulating hormone receptor antibody reaction binding rate data set; Step S144: performing antibody reaction level analysis on the binding reaction process between the thyroid stimulating hormone receptor antibody and the high-concentration target gene amplification product based on the thyroid stimulating hormone receptor antibody reaction binding rate data set to obtain the thyroid stimulating hormone receptor antibody reaction level.

[0025] As an embodiment of the present invention, refer to Figure 3 As shown, Figure 2 Detailed step flow diagram of step S14 in the embodiment, step S14 includes the following steps: Step S141: performing an antibody binding reaction on the thyroid stimulating hormone receptor antibody and the high-concentration target gene amplification product, and using magnetic beads to capture the reaction complex during the binding reaction between the thyroid stimulating hormone receptor antibody and the high-concentration target gene amplification product to obtain a thyroid stimulating hormone receptor antibody-target gene complex; In an embodiment of the present invention, a thyroid stimulating hormone receptor antibody (TRAB) and an amplification product of a target gene are prepared. The target gene amplification product is usually obtained by PCR amplification, wherein the target gene sequence is pre-set and has a specific marker. The preparation of a high-concentration target gene amplification product requires ensuring that the PCR reaction system contains a sufficient amount of amplification products to facilitate subsequent binding reactions, and mixing the thyroid stimulating hormone receptor antibody (TRAB) and the target gene amplification product in a suitable buffer, usually using a PBS solution containing salt ions and a buffer, to ensure that a specific binding reaction can occur between the antibody and the target gene amplification product, and the reaction mixture reacts at room temperature or 4°C for a certain time, usually 30 minutes to 1 hour, to ensure that the binding between the antibody and the target gene product reaches equilibrium. At the same time, magnetic beads are added to capture the conjugate. The surface of the magnetic beads is usually pre-coupled with an affinity substance, such as protein A or protein G, to facilitate the capture of the antibody-antigen complex. The reaction system is added to a microtube containing the magnetic beads, and the magnetic field is used to rapidly adsorb the bound complex on the magnetic beads to the surface of the magnetic beads. The unbound target gene amplification product and the unbound thyroid stimulating hormone receptor antibody are separated by the magnetic field, and the antibody-target gene complex captured on the magnetic beads is retained, ultimately obtaining the thyroid stimulating hormone receptor antibody-target gene complex.

[0026] Step S142: measuring the antibody binding amount of the thyroid stimulating hormone receptor antibody-target gene complex by enzyme labeling to obtain the thyroid stimulating hormone receptor antibody reaction binding amount; In an embodiment of the present invention, the captured thyrotropin receptor antibody-target gene complex will be subjected to the determination of antibody binding amount, so that the complex on the magnetic beads is washed to remove non-specific binding substances to ensure the purity of the complex, and an enzyme-labeled secondary antibody that specifically binds to the antibody is added to the sample. The enzyme-labeled secondary antibody can specifically bind to the Fc region of the thyrotropin receptor antibody and carries an enzyme marker, such as horseradish peroxidase (HRP) or alkaline phosphatase (ALP). Then, a substrate solution is used to react with the enzyme-labeled secondary antibody to generate a measurable chemical signal. Specifically, a corresponding substrate solution can be added. If the enzyme-catalyzed reaction is successful, a colored product or a fluorescent signal will be generated. The signal intensity of the reaction product is measured by an enzyme label instrument, and then the binding amount between the thyrotropin receptor antibody and the target gene amplification product is calculated. The signal intensity is proportional to the antibody binding amount, thereby obtaining accurate binding amount data, and finally obtaining the thyrotropin receptor antibody reaction binding amount.

[0027] Step S143: obtaining the corresponding thyroid stimulating hormone receptor antibody reaction time through the binding reaction process between the thyroid stimulating hormone receptor antibody and the high-concentration target gene amplification product, and performing quantitative calculation of the antibody binding rate of the thyroid stimulating hormone receptor antibody reaction binding amount based on the thyroid stimulating hormone receptor antibody reaction time to obtain a thyroid stimulating hormone receptor antibody reaction binding rate data set; In an embodiment of the present invention, the binding rate of the thyroid stimulating hormone receptor antibody is further quantified by time and binding amount. First, the process of the binding reaction between the thyroid stimulating hormone receptor antibody and the target gene amplification product is recorded. By real-time monitoring of the time change of the binding reaction, a time-response curve can be obtained. This process can usually be achieved by time interval detection of an enzyme marker. For example, the signal intensity of the reaction system can be recorded every 5 minutes until an equilibrium state is reached. In this process, the antibody and the target gene amplification product bind faster at the beginning of the reaction. As the reaction proceeds, the binding amount gradually reaches saturation. By recording the reaction signals at different time points, the dynamic changes of the reaction can be obtained. The binding amount data can be calculated through the relationship between the standard curve and the concentration of the initial sample to obtain the reaction binding rate of the thyroid stimulating hormone receptor antibody. The calculation of the binding rate is based on the comparison between the known reaction time and the actually measured binding amount, and is quantified by the following formula: binding rate = (actual binding amount / reaction time) × 100%. The formula can calculate the relative binding efficiency between the antibody and the target gene amplification product, and the binding rate calculated at each time point is integrated to finally obtain a thyroid stimulating hormone receptor antibody reaction binding rate data set.

[0028] Step S144: performing antibody reaction level analysis on the binding reaction process between the thyroid stimulating hormone receptor antibody and the high-concentration target gene amplification product based on the thyroid stimulating hormone receptor antibody reaction binding rate data set to obtain the thyroid stimulating hormone receptor antibody reaction level.

[0029] In an embodiment of the present invention, the binding reaction level of the antibody-target gene complex is deeply analyzed by using the aforementioned thyroid stimulating hormone receptor antibody reaction binding rate data set, so as to collect all experimental data, cover the binding rate at different reaction time points and the reaction amount under different conditions, and use statistical analysis methods, such as regression analysis or curve fitting, to describe the kinetic characteristics of the binding process between the thyroid stimulating hormone receptor antibody and the target gene amplification product. Specifically, the relationship between the binding rate and the reaction time can be modeled using a nonlinear fitting method to obtain the best fitting curve, and the reaction speed, saturation and binding efficiency can be evaluated by the fitting curve. In addition, by comparing and analyzing the binding rate data of different experimental groups, the difference in the reaction level of the thyroid stimulating hormone receptor antibody under different conditions can be evaluated. For example, changing the pH value, ionic strength, temperature and other conditions of the buffer, or changing the concentration of the thyroid stimulating hormone receptor antibody and the antigen will affect the binding level of the reaction, thereby quantifying the corresponding reaction level of the thyroid stimulating hormone receptor antibody in the experimental system, and finally obtaining the thyroid stimulating hormone receptor antibody reaction level.

[0030] Further, step S144 includes the following steps: Surface plasmon resonance technology is used to perform antibody reaction kinetic analysis on the binding reaction process at each antibody reaction binding rate data point in the thyroid stimulating hormone receptor antibody reaction binding rate data set to generate a thyroid stimulating hormone receptor antibody reaction binding kinetic curve; In an embodiment of the present invention, the binding reaction between the thyroid stimulating hormone receptor antibody and the target gene amplification product is monitored in real time by using surface plasmon resonance (SPR) technology. In the specific operation process, a functionalized metal sensor chip is selected, the thyroid stimulating hormone receptor antibody is fixed on the chip surface at a certain concentration, and target gene amplification product solutions of different concentrations are gradually injected to monitor the changes in optical signals generated by the binding of the antibody and the target molecule during the reaction in real time. Each antibody reaction binding rate data point is recorded by the SPR device, and the kinetic process of the binding reaction is reflected according to the change in the intensity of the reflected light. Each data point corresponds to a specific binding event, wherein the value of the binding rate reflects the binding of the antibody and the target product at different time points. The SPR data is used to fit the thyroid stimulating hormone receptor antibody reaction binding kinetic curve, which can reflect the affinity, reaction rate and other kinetic parameters in the antibody binding process. Finally, the thyroid stimulating hormone receptor antibody reaction binding kinetic curve (such as Figure 4 TSH receptor antibody binding kinetics shown in the image).

[0031] Preferably, the binding rate of the thyroid stimulating hormone receptor antibody reaction binding kinetic curve is monitored in real time to obtain the thyroid stimulating hormone receptor antibody reaction binding rate; In the embodiment of the present invention, the binding process of the thyroid stimulating hormone receptor antibody and the target gene amplification product is continuously dynamically observed by using the real-time signal monitoring system in the SPR instrument. Specifically, the SPR instrument is used for high-frequency data acquisition to monitor the change of the antibody-antigen binding rate during the reaction, and the real-time data of the reaction include the signal change rate at the beginning of the binding, the stable signal when the binding reaches equilibrium, and the attenuation or rising trend over time. Based on these data, the binding rate at each time point is calculated, that is, the change in the rate of binding of the antibody to the target molecule per unit time. The binding rate can be obtained by analyzing the change rate of the reflection signal. This process requires precise time control and data processing to obtain detailed reaction binding rate information, and finally the thyroid stimulating hormone receptor antibody reaction binding rate is obtained.

[0032] Preferably, the binding strength of the binding reaction between the thyroid stimulating hormone receptor antibody and the high-concentration target gene amplification product is analyzed based on the thyroid stimulating hormone receptor antibody reaction binding speed to obtain the thyroid stimulating hormone receptor antibody reaction binding strength; In an embodiment of the present invention, the thyroid stimulating hormone receptor antibody reaction binding rate is used to analyze the reaction binding strength between the thyroid stimulating hormone receptor antibody and the high concentration target gene amplification product. In specific implementation, based on the previously obtained binding rate data, a special analysis algorithm (such as a bivariate fitting model) is used to calculate the strength of the binding reaction. The binding strength reflects the overall effect of the binding process between the thyroid stimulating hormone receptor antibody and the target gene amplification product. By adjusting the parameters of the analysis model, each stage in the reaction is further accurately analyzed, such as the initial binding stage, the stable stage and the desorption stage. The numerical value of the binding strength can be obtained by calculating the integral value, peak value or average value of the binding rate, and finally the thyroid stimulating hormone receptor antibody reaction binding strength is obtained.

[0033] Preferably, flow cytometry is used to analyze the cell binding affinity level of the binding reaction process between the thyroid stimulating hormone receptor antibody and the high-concentration target gene amplification product to obtain the cell binding affinity level of the thyroid stimulating hormone receptor antibody; In an embodiment of the present invention, the binding reaction process between the thyroid stimulating hormone receptor antibody and the target gene amplification product is analyzed by flow cytometry for the cell binding affinity level. Specifically, an antibody that binds to the target gene amplification product is first prepared, and after being labeled (such as fluorescently labeled), it is allowed to interact with the corresponding thyroid stimulating hormone receptor on the surface of the target cell. Then, different cell samples are analyzed using a flow cytometer to record the binding of the antibody to the thyroid stimulating hormone receptor on the cell surface. In this process, the intensity of the fluorescent signal of the cell surface binding to the antibody is used as an indication of affinity, and the binding affinity level is calculated by the proportional relationship between the fluorescence intensity and the cell. The flow cytometer collects data in real time, outputs the affinity level of each cell sample, and performs detailed statistical analysis and comparison based on the differences between different cell samples to obtain a specific binding affinity level, and finally obtains the thyroid stimulating hormone receptor antibody cell binding affinity level.

[0034] Preferably, based on the thyroid stimulating hormone receptor antibody reaction binding intensity and the thyroid stimulating hormone receptor antibody cell binding affinity level, the thyroid stimulating hormone receptor antibody reaction level calculation formula is used to perform antibody reaction quantification calculation on the binding reaction process between the thyroid stimulating hormone receptor antibody and the high concentration target gene amplification product to obtain the thyroid stimulating hormone receptor antibody reaction level.

[0035] In an embodiment of the present invention, a suitable thyroid stimulating hormone antibody reaction level calculation formula is formed by combining time variable parameters, thyroid stimulating hormone receptor antibody reaction binding strength, thyroid stimulating hormone receptor antibody cell binding affinity level, thyroid stimulating hormone receptor antibody dissociation constant, thyroid stimulating hormone receptor antibody concentration, thyroid stimulating hormone receptor antigen concentration, antibody reaction time attenuation factor and related parameters to perform quantitative calculation of antibody reaction, so as to obtain a comprehensive reaction level value by quantitative calculation, and finally obtain the thyroid stimulating hormone receptor antibody reaction level.

[0036] Furthermore, the thyroid stimulating antibody response level calculation formula is specifically: ; In the formula, is the thyroid stimulating hormone receptor antibody response level, is the reaction time range parameter, is the integral time variable parameter, is the binding strength of the thyroid stimulating hormone receptor antibody reaction, is the thyrotropin receptor antibody cell binding affinity level, is the dissociation constant of the thyroid stimulating hormone receptor antibody, For in time The corresponding thyroid stimulating hormone receptor antibody concentration, For in time The corresponding thyroid stimulating hormone receptor antigen concentration, is the antibody reaction time decay factor, is the correction factor for the thyroid stimulating hormone receptor antibody response level.

[0037] The present invention obtains a thyroid stimulating antibody reaction level calculation formula by using a specific mathematical model and verifying it, which is used to quantitatively calculate the antibody reaction process between the thyroid stimulating hormone receptor antibody and the high-concentration target gene amplification product. The thyroid stimulating antibody reaction level calculation formula is It indicates the ability of an antibody to bind to an antigen (thyroid stimulating hormone receptor antigen). It reflects the affinity between the antibody and the antigen. This parameter is measured by surface plasmon resonance (SPR) and flow cytometry, and can provide very accurate binding kinetic data. A higher binding strength usually indicates that the antibody has a stronger affinity for the antigen and can bind to the target molecule more effectively. The cell binding affinity level reflects the affinity of the antibody to the cell surface receptor. In flow cytometry, by measuring the binding of the antibody to the target cell, the binding ability of the antibody under in vitro conditions can be evaluated, thereby reflecting the effectiveness of the antibody in practical applications. These parameters help researchers determine the functionality and effectiveness of different antibodies. It indicates the dissociation constant of antibody-antigen binding. A lower dissociation constant usually means that the binding between the antibody and the antigen is more stable, that is, the antibody can maintain its binding state for a long time in the body. Conversely, a higher dissociation constant means that the antibody is easier to dissociate from the antigen, indicating that its binding force is weaker. The dissociation constant provides information on the stability of the antibody-antigen binding, which can help further optimize the affinity and specificity of the antibody. The reaction time attenuation factor The decay rate of the antibody response over time is expressed as the antibody response usually gradually weakens over time, and the decay factor can quantify this change. This factor can reflect the persistence of the antibody in the response, which can help researchers assess the duration of the antibody response. In addition, by using the correction factor The introduction of represents the influence of other factors or certain experimental conditions in the reaction process. It involves experimental error correction or optimization and adjustment of antibody response levels in a specific reaction process. By adjusting this coefficient, the complex biological reactions in the experiment can be described more accurately or the measurement conditions can be optimized, making the results more reliable. Through this formula, not only the binding reaction intensity at each time point can be obtained, but also how the antibody binds to the target gene amplification product during the dynamic reaction process can be evaluated. This dynamic process involves many factors, including antibody concentration, target antigen concentration, reaction time, etc. This dynamic analysis can help researchers understand the changes in antibody-antigen binding at different time points, and then accurately evaluate the antibody reaction rate, affinity, etc., and then select the best antibody or optimize the experimental conditions, thereby providing accuracy and efficiency for subsequent processing processes. In summary, this formula fully takes into account the thyroid stimulating hormone receptor antibody response level. , reaction time range parameter , integral time variable parameter , TSH receptor antibody response binding intensity , TSH receptor antibody cell binding affinity level , TSH receptor antibody dissociation constant , at time The corresponding thyroid stimulating hormone receptor antibody concentration , at time The corresponding thyroid stimulating hormone receptor antigen concentration , antibody response time decay factor , correction factor for thyrotropin receptor antibody response level , according to the level of thyroid stimulating hormone receptor antibody response The correlation between the above parameters constitutes a functional relationship This formula can realize the quantitative calculation process of the antibody reaction of the binding reaction between the thyroid stimulating hormone receptor antibody and the high concentration target gene amplification product. At the same time, the correction coefficient of the thyroid stimulating hormone receptor antibody reaction level is used The introduction of can improve the accuracy and applicability of the calculation formula for thyroid-stimulating antibody response level by making adjustments based on the errors that occur during the calculation process.

[0038] Further, step S15 includes the following steps: Step S151: based on the thyroid stimulating hormone receptor antibody response level, the antibody response level dynamic change of the thyroid stimulating hormone receptor antibody response gene sequence is plotted to generate a time series dynamic change map of the antibody response level corresponding to the thyroid stimulating hormone receptor antibody response gene sequence; In an embodiment of the present invention, the reaction data of thyroid stimulating hormone receptor antibodies (TRAb) at different time points are collected by experimental means. These data can be obtained by serological detection methods, such as enzyme-linked immunosorbent assay (ELISA) or radioimmunoassay (RIA), and the corresponding thyroid stimulating hormone receptor antibody reaction levels are statistically analyzed. Bioinformatics tools, such as MATLAB, R language or related libraries in Python (such as Pandas and Matplotlib) are used to perform dynamic drawing analysis of antibody reaction levels. The specific steps include first arranging the TRAb reaction levels of each thyroid stimulating hormone receptor antibody reaction gene sequence in chronological order, constructing a corresponding time-reaction level data table, and then smoothing the data by using a statistical analysis method (such as smoothing or moving average method) to eliminate the influence of noise, and drawing a time series dynamic change map by drawing software to show the change trend of the antibody reaction level at each time point. The trend of these reaction levels changing over time can help reveal the regularity of the thyroid stimulating hormone receptor antibody reaction, and finally generate a time series dynamic change map of the antibody reaction level corresponding to the thyroid stimulating antibody reaction gene sequence.

[0039] Step S152: obtaining a normal antibody response level change map in a known thyroid stimulating hormone receptor gene database, and performing sequence mutation comparison analysis on the antibody response level time series dynamic change map based on the normal antibody response level change map to obtain a thyroid stimulating hormone antibody response gene sequence corresponding to a candidate region with a mutation site; In an embodiment of the present invention, by obtaining a normal antibody response level change map in a known thyroid stimulating hormone receptor gene database, it is first necessary to access a public gene database, such as NCBI (National Center for Biotechnology Information) or Ensembl database, download a normal TRAb response level data set, which should contain normal antibody response level time series data of healthy individuals, and use a sequence alignment tool, such as BLAST (Basic Local Alignment Search Tool) to align the obtained normal map data to find out the region with significant differences in antibody response level changes with the target sample. In order to ensure the accuracy of the alignment, the most relevant reference data can be selected by calculating the similarity score of the alignment. Through mutation alignment analysis, possible mutation site regions can be found, and the relevant thyroid stimulating hormone receptor antibody response gene sequence can be identified accordingly, and finally the thyroid stimulating hormone antibody response gene sequence corresponding to the candidate region with the mutation site is obtained.

[0040] Step S153: further predict the functional impact of the thyroid stimulating hormone antibody response gene sequence corresponding to the candidate region with mutation sites to determine the mutation sites corresponding to the functional impact on the thyroid stimulating hormone receptor antibody response, and perform abnormal identification screening on the corresponding thyroid stimulating hormone receptor antibody response gene sequence based on the mutation sites corresponding to the functional impact to obtain the thyroid stimulating antibody abnormal response gene sequence corresponding to the functional mutation sites.

[0041] In an embodiment of the present invention, by further performing function prediction analysis on the candidate regions with mutation sites previously obtained, it is necessary to use gene function prediction tools, such as SIFT (Sorting Intolerant From Tolerant), PolyPhen-2 (Polymorphism Phenotyping v2), etc., to evaluate the effect of mutation sites on protein function. These tools predict the potential effects of mutations on protein stability, folding, active site function, etc. by comparing known protein structures and mutation types, and according to the prediction results, the mutation sites are divided into two categories: those with significant functional effects and those with no significant effects. Next, based on the mutation sites with functional effects, abnormal identification screening is performed. The methods used for abnormal identification include gene expression data analysis and functional enrichment analysis. Software tools such as Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis are used to screen out abnormal genes related to thyroid stimulating hormone receptor antibody response. These gene sequences are the source of abnormal reactions, which can further provide a scientific basis for mutation function research, and finally obtain thyroid stimulating antibody abnormal reaction gene sequences corresponding to functional mutation sites, so as to complete the abnormal reaction identification of antibody reaction genes.

[0042] Further, step S2 includes the following steps: Step S21: performing abnormal reaction characteristic factor analysis on the thyroid stimulating antibody abnormal reaction gene sequence corresponding to the functional mutation site to obtain the thyroid stimulating antibody abnormal reaction mutation characteristic factor; In an embodiment of the present invention, mutation screening is performed on the whole genome or specific regions of the gene sequence corresponding to the abnormal thyroid-stimulating antibody reaction with functional mutation sites, especially those gene sites known to be related to the thyroid-stimulating antibody reaction. This process is usually completed with the help of high-throughput sequencing technology (such as Illumina sequencing platform). The acquired genomic data will be detected for mutations through bioinformatics tools (such as GATK or Samtools), with particular attention to functional mutations. For each detected mutation site, a statistical analysis method (such as Fisher's exact test or chi-square test) is applied to evaluate the relationship between the mutation site and the abnormal thyroid-stimulating antibody reaction, and significantly related mutation sites are screened out. These mutation sites are used as input data, and machine learning algorithms (such as random forests, support vector machines, etc.) are used to extract their contribution characteristic factors to the abnormal thyroid-stimulating antibody reaction. The results of the characteristic factor analysis can provide key mutation characteristic factors for subsequent steps, including genetic mutation sites, mutation conditions of genes related to immune system response, etc., and finally obtain the abnormal thyroid-stimulating antibody reaction mutation characteristic factors.

[0043] Step S22: Acquire thyroid stimulating hormone receptor test data, wherein the thyroid stimulating hormone receptor test data includes TSH level, T3 level and T4 level; In an embodiment of the present invention, experimental data related to thyroid stimulating hormone receptors are obtained from clinical laboratories, specifically including thyroid stimulating hormone (TSH) levels, triiodothyronine (T3) levels, and tetraiodothyronine (T4) levels. These data are usually obtained by analyzing blood samples. Experimental methods include radioimmunoassay (RIA), enzyme-linked immunosorbent assay (ELISA), or chemiluminescent immunoassay (CLIA), etc. In the laboratory, calibrated equipment is used to detect the concentrations of TSH, T3, and T4 in patient blood samples to ensure the accuracy and comparability of the data. The acquired data needs to be recorded according to standardized procedures and stored in an electronic health record system for subsequent analysis. During this process, special attention should be paid to the quality control of the experimental data to ensure the accuracy of the collected T3, T4, and TSH data, and to avoid data errors affecting subsequent analysis results. Finally, thyroid stimulating hormone receptor experimental data, specifically including TSH levels, T3 levels, and T4 levels, are obtained.

[0044] Step S23: Calculate the ratio of the T3 level and the T4 level in the thyroid stimulating hormone receptor experimental data to obtain the thyroid stimulating hormone T3 / T4 level ratio; In the embodiment of the present invention, after obtaining the experimental data of TSH, T3 and T4, the next step is to calculate the ratio of T3 to T4. First, the T3 and T4 levels of each sample collected are extracted separately and calculated using the following formula: This calculation should be based on the test data of a single patient to generate the T3 / T4 ratio of each sample. The ratio of T3 to T4 has important clinical significance in endocrinology because it reflects the functional status of thyroid hormones and their relationship with thyroid stimulating hormone (TSH). By calculating the ratio, we can further determine whether the thyroid function is normal and whether there is an abnormal metabolic state, and finally obtain the thyroid stimulating hormone T3 / T4 level ratio.

[0045] Step S24: Based on the abnormal reaction mutation characteristic factor of thyroid stimulating antibody, the mutation factor and functional index correlation characterization analysis is performed on the TSH level and the thyroid stimulating hormone T3 / T4 level ratio to obtain the thyroid stimulating abnormal reaction mutation factor-functional hormone level correlation matrix; In an embodiment of the present invention, the abnormal reaction mutation characteristic factors of thyroid stimulating antibodies obtained by previous analysis are matched with TSH levels and T3 / T4 ratio data. This matching process is usually completed through a unique patient identifier (such as an ID number) in a clinical database to ensure that the gene mutation information of each patient corresponds to its thyroid function data one by one, and a correlation matrix between mutation factors and functional hormone levels is constructed by using multivariate statistical analysis methods (such as multiple regression analysis, canonical correlation analysis, principal component analysis, etc.). This matrix will reveal how specific mutation sites affect TSH levels and T3 / T4 ratios, thereby deriving the correlation between each mutation factor and functional hormone indicators. The obtained correlation matrix shows the specific relationship between different mutation factors and thyroid hormone functional levels, and finally a thyroid stimulating abnormal reaction mutation factor-functional hormone level correlation matrix is ​​obtained.

[0046] Step S25: performing association rule mining analysis between reaction mutations and functional indicators based on the thyroid stimulating antibody abnormal reaction mutation factor-functional hormone level association matrix to obtain the association rule relationship between the thyroid stimulating antibody abnormal reaction mutation and the functional indicator.

[0047] In an embodiment of the present invention, based on the previously obtained abnormal thyroid stimulating reaction mutation factor-functional hormone level association matrix, data mining technology (such as association rule mining algorithm, Apriori algorithm, FP-growth algorithm, etc.) is used to conduct an in-depth analysis of the relationship between mutation factors and functional indicators. Through these technologies, the potential rules between different mutation characteristic factors and thyroid hormone functional levels can be automatically identified. For example, certain specific mutation sites will be found to be closely related to the increase of TSH or the abnormality of T3 / T4 ratio, and then the gene mutation pattern related to thyroid dysfunction can be inferred. The analysis results will generate a set of association rules to describe the mutual influence and regularity between different mutations and thyroid function indicators. This rule can be used to predict the thyroid function status of new patients, and finally the association rule relationship between abnormal thyroid stimulating antibody reaction mutations and functional indicators is obtained.

[0048] Further, step S24 includes the following steps: Step S241: performing correlation calculation between mutation factors and functional indicators based on abnormal reaction mutation characteristic factors of thyroid stimulating antibodies on TSH levels and thyroid stimulating hormone T3 / T4 level ratios, and obtaining correlation influence indexes between each reaction mutation characteristic factor and TSH and T3 / T4 levels; In an embodiment of the present invention, a computational framework is established to analyze the correlation effect between abnormal reaction mutation characteristic factors of thyroid stimulating antibodies (TRAb) and TSH (thyroid stimulating hormone) levels and T3 / T4 (thyroid hormone) level ratios. Specifically, various features in the experimental data set are first extracted, including thyroid stimulating antibody reaction mutation characteristic factors and TSH, T3, and T4 measurement values. These characteristic factors include genetic mutation sites, mutation conditions of genes related to immune system response, etc. For each characteristic factor, a statistical analysis method (such as Pearson correlation coefficient, Spearman rank correlation analysis) is used to calculate the correlation between it and TSH levels and T3 / T4 ratios. The goal of the correlation calculation is to quantify the potential impact of each mutation characteristic factor on TSH and T3 / T4 levels, and obtain a quantitative correlation influence index. This index reflects the strength and direction of the association between each factor and the hormone level, and finally obtains the correlation influence index between each reaction mutation characteristic factor and TSH and T3 / T4 levels.

[0049] Step S242: evaluating the response responsiveness of the corresponding abnormal thyroid stimulating antibody response mutation characteristic factor based on the correlation influence index between each response mutation characteristic factor and TSH and T3 / T4 levels, and obtaining the hormone level responsiveness influence score between each response mutation characteristic factor and TSH and T3 / T4 levels; In an embodiment of the present invention, after obtaining the association influence index between each reaction mutation characteristic factor and TSH and T3 / T4 levels by quantitative calculation, the reaction responsiveness evaluation is then performed. In this process, the association influence index is used as the weight of the evaluation factor for the influence on TSH and T3 / T4 levels to perform weighted calculation, and the influence of each mutation characteristic factor on the hormone level responsiveness is further determined. The specific operation is to use a machine learning algorithm such as a logistic regression model or a support vector machine (SVM) to predict the response pattern of the mutation factor and the hormone level through a training model, and by comparing the prediction error of each mutation characteristic factor on the TSH and T3 / T4 levels, the weight coefficient of each factor is adjusted to evaluate its responsiveness in the overall hormone level regulation. The responsiveness score is used to represent the sensitivity of each factor to changes in TSH and T3 / T4 levels under different environments, and finally the hormone level responsiveness influence score between each reaction mutation characteristic factor and TSH and T3 / T4 levels is obtained.

[0050] Step S243: based on the correlation influence index between each reaction mutation characteristic factor and TSH and T3 / T4 levels, the interaction comparison between the abnormal reaction mutation characteristic factor of thyroid stimulating antibodies and TSH levels and the ratio of thyroid stimulating hormone T3 / T4 levels is performed to determine that if the corresponding correlation influence index is greater than or equal to a preset correlation threshold, the corresponding interaction relationship is determined as a displayed correlation interaction relationship; if the corresponding correlation influence index is less than the preset correlation threshold, the corresponding interaction relationship is determined as an implicit correlation interaction relationship, so as to obtain the correlation interaction connection relationship between each reaction mutation characteristic factor and TSH and T3 / T4 levels; In an embodiment of the present invention, a comparative judgment analysis of the interaction between the abnormal reaction mutation characteristic factor of thyroid stimulating antibodies and the TSH level and the thyroid stimulating hormone T3 / T4 level ratio is performed by combining the association influence index between the reaction mutation characteristic factor and the TSH and T3 / T4 levels obtained by previous quantitative calculation, so as to consider the interaction effect between the reaction mutation characteristic factor and the TSH and T3 / T4 levels. For each combination of mutation factors and hormone levels, the statistical significance of the interaction is calculated, and the analysis of variance (ANOVA) and other methods are used to determine whether there is a significant interaction. When the corresponding association influence index is greater than or equal to the preset association threshold, the interaction relationship between these factors and the hormone level is identified as a clear association interaction relationship; if it is lower than the threshold, it is regarded as an implicit association interaction relationship. The selection of the threshold is based on the analysis of previous experimental data or the standards provided in the literature. The interaction relationship between each pair of mutation characteristic factors and hormone levels is divided into "clear association" or "implicit association" and marked for further analysis.

[0051] Step S244: The hormone level responsiveness impact score is determined as the influence weight between each reaction mutation characteristic factor and TSH, T3 / T4 level, and the mutation factor and functional index association characterization analysis is performed based on the influence weight and associated interaction connection relationship between each reaction mutation characteristic factor and TSH, T3 / T4 level to obtain the thyroid abnormal reaction mutation factor-functional hormone level association matrix.

[0052] In an embodiment of the present invention, a thyroid-stimulating abnormal reaction mutation factor-functional hormone level association matrix is ​​constructed by calculating the hormone level responsiveness score and interaction relationship based on the aforementioned steps. Specifically, the responsiveness score of each reaction mutation characteristic factor is first converted into a weight value as the relative importance of the influencing factor on TSH and T3 / T4 levels. On this basis, combined with the interaction relationship obtained by the previous analysis, a multi-dimensional association matrix is ​​established. The rows and columns of the matrix represent the reaction mutation factor and different hormone levels (TSH, T3 / T4). If there is a significant interaction between a certain mutation factor and TSH or T3 / T4 level, the intensity and direction of the interaction will be marked in the corresponding cell of the matrix. The matrix helps to deeply analyze which mutation factors contribute the most to the change of hormone levels and which factors produce synergistic effects or inhibitory effects between different hormone levels. Through further analysis of the association matrix, potential biomarkers can be found, and finally a thyroid-stimulating abnormal reaction mutation factor-functional hormone level association matrix is ​​obtained.

[0053] Further, step S3 includes the following steps: Step S31: based on the association rule relationship between the abnormal reaction mutation of thyroid stimulating antibodies and the functional index, a functional association influence point map is drawn for the abnormal reaction gene sequence of thyroid stimulating antibodies corresponding to the functional mutation site, so as to generate a functional association influence point map between the mutation site corresponding to the abnormal reaction gene sequence and the functional index; In the embodiment of the present invention, the potential association with abnormal thyroid stimulating antibody reaction is determined based on the association rule relationship between the abnormal thyroid stimulating antibody reaction mutation and the functional index obtained by the previous analysis, and the association between it and the thyroid stimulating hormone receptor antibody reaction is analyzed one by one. Specifically, based on the functional prediction tools of the mutation site (such as SIFT, PolyPhen, etc.), the potential functional impact of the gene mutation is evaluated, and combined with the existing biological literature or database (such as dbSNP, ClinVar, etc.), it is verified whether these mutation sites are related to abnormal thyroid stimulating hormone receptor antibody reaction, and these mutation sites and related functional indicators (for example, thyroid stimulating hormone receptor antibody reaction) are combined. The correlation between mutation sites and functional indicators is represented by nodes and edges. Nodes represent different mutation sites or functional indicators, and the strength of edges represents the strength of correlation between them. This functional correlation influence point map can provide an intuitive display for further studying the biological functions of mutation sites and their effects on thyroid function, and finally generate a functional correlation influence point map between mutation sites and functional indicators corresponding to abnormal reaction gene sequences.

[0054] Step S32: performing in-depth mining and analysis on the functional association influence point map between the mutation sites corresponding to the abnormal response gene sequence and the functional indicators to obtain a mutation influence factor network corresponding to the abnormal response gene sequence; In an embodiment of the present invention, a previously drawn functional association influence point map is systematically analyzed, and in order to deeply mine the data in the map, a map analysis algorithm (such as a community detection algorithm, a network topology analysis, etc.) is used to identify the key influencing factors therein. The specific operation includes using a graph algorithm (such as PageRank, Betweenness centrality analysis) to evaluate the key nodes between the mutation site and the functional index, and identifying those mutation sites that are closely related to the thyroid stimulating hormone receptor antibody response. In addition, a machine learning method (such as a random forest, a support vector machine, etc.) is used to predict the functional impact of the mutation site, and the model is trained to identify the mutation sites that affect thyroid function in combination with the correlation data in the map. The purpose of this deep mining process is to identify the mutation factors that have the greatest impact on the abnormal thyroid stimulating hormone receptor antibody response, and by constructing a mutation influence factor network, the mechanism of action of these factors in the thyroid immune response is further revealed, and finally a mutation influence factor network corresponding to the abnormal reaction gene sequence is obtained.

[0055] Step S33: Obtain the environmental factors and genetic biological factors corresponding to the abnormal reaction gene sequence of thyroid stimulating antibodies, and analyze the antibody reaction mutation influencing factors on the mutation influencing factor network corresponding to the abnormal reaction gene sequence based on the environmental factors and genetic biological factors to obtain the thyroid stimulating hormone receptor antibody reaction mutation influencing factors.

[0056] In an embodiment of the present invention, environmental factors and genetic biological factors related to thyroid stimulating hormone receptor antibody response are obtained, wherein environmental factors include the patient's living habits, dietary structure, history of drug use, exposure to harmful substances, etc., and genetic biological factors include family history, known genetic susceptibility to thyroid disease, etc. This information can be obtained through questionnaires, electronic health records, environmental monitoring data, etc., and then the environmental factors and genetic biological factors are combined with the previously constructed mutation influencing factor network for a more in-depth analysis. The specific method includes using multivariate analysis (such as multivariate regression analysis) to evaluate how these factors work together on thyroid stimulating hormone receptor antibody response. Through these analyses, we can identify the key environmental and genetic factors that affect thyroid antibody response, and further analyze their relationship with mutation sites. We can use bioinformatics platforms (such as R / Bioconductor or pandas, scikit-learn and other libraries in Python) for data processing and modeling, combined with existing gene-environment interaction analysis tools, to analyze the performance differences of different mutation sites in different environments and genetic backgrounds. In this process, the focus is on revealing how mutation sites exert different functional effects in specific environments, and identifying the mutation influencing factors, and finally obtaining the mutation influencing factors of thyroid stimulating hormone receptor antibody response.

[0057] Furthermore, the present invention also provides a data mining and analysis system for thyroid stimulating hormone receptor antibody reaction, which is used to execute the data mining and analysis method for thyroid stimulating hormone receptor antibody reaction as described above. The data mining and analysis system for thyroid stimulating hormone receptor antibody reaction comprises: The antibody response mutation abnormal screening module is used to obtain the thyroid stimulating hormone receptor antibody response gene sequence, and perform antibody response level analysis on the thyroid stimulating hormone receptor antibody response gene sequence to obtain the thyroid stimulating hormone receptor antibody response level; based on the thyroid stimulating hormone receptor antibody response level, the thyroid stimulating hormone receptor antibody response gene sequence is subjected to response mutation site identification and screening, thereby obtaining the thyroid stimulating hormone receptor antibody abnormal response gene sequence corresponding to the functional mutation site; The reaction mutation and functional index association mining module is used to perform abnormal reaction characteristic factor analysis on the thyroid stimulating antibody abnormal reaction gene sequence corresponding to the functional mutation site to obtain the thyroid stimulating antibody abnormal reaction mutation characteristic factor; obtain thyroid stimulating hormone receptor experimental data, wherein the thyroid stimulating hormone receptor experimental data includes TSH level, T3 level and T4 level, and perform association rule mining analysis between reaction mutation and functional index on the thyroid stimulating hormone receptor experimental data based on the thyroid stimulating antibody abnormal reaction mutation characteristic factor, so as to obtain the association rule relationship between the thyroid stimulating antibody abnormal reaction mutation and the functional index; The antibody response mutation influencing factor analysis module is used to analyze the antibody response mutation influencing factors of the thyroid stimulating antibody abnormal response gene sequence corresponding to the functional mutation site based on the association rule relationship between the thyroid stimulating antibody abnormal response mutation and the functional index, so as to obtain the thyroid stimulating hormone receptor antibody response mutation influencing factors.

[0058] Therefore, the embodiments should be regarded as illustrative and non-restrictive from all points, and the scope of the present invention is limited by the appended claims rather than the above description, and it is therefore intended that all changes falling within the meaning and range of equivalent elements of the application documents are included in the present invention.

[0059] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A data mining and analysis method for thyroid stimulating hormone receptor antibody response, characterized in that: The following steps are involved: Step S1: obtaining a thyroid stimulating hormone receptor antibody response gene sequence, and performing an antibody response level analysis on the thyroid stimulating hormone receptor antibody response gene sequence to obtain a thyroid stimulating hormone receptor antibody response level; based on the thyroid stimulating hormone receptor antibody response level, performing response mutation site identification and screening on the thyroid stimulating hormone receptor antibody response gene sequence to obtain a thyroid stimulating antibody abnormal response gene sequence corresponding to a functional mutation site; Step S2: performing abnormal reaction characteristic factor analysis on the thyroid stimulating antibody abnormal reaction gene sequence corresponding to the functional mutation site to obtain the thyroid stimulating antibody abnormal reaction mutation characteristic factor; obtaining thyroid stimulating hormone receptor experimental data, wherein the thyroid stimulating hormone receptor experimental data includes TSH level, T3 level and T4 level, and performing association rule mining analysis on the thyroid stimulating hormone receptor experimental data between reaction mutation and functional index based on the thyroid stimulating antibody abnormal reaction mutation characteristic factor to obtain the association rule relationship between the thyroid stimulating antibody abnormal reaction mutation and the functional index; Step S3: Based on the association rule relationship between the abnormal thyroid stimulating antibody reaction mutation and the functional index, the antibody reaction mutation influencing factors are analyzed for the abnormal thyroid stimulating antibody reaction gene sequence corresponding to the functional mutation site to obtain the thyroid stimulating hormone receptor antibody reaction mutation influencing factors.

2. The data mining and analysis method for thyroid stimulating hormone receptor antibody response according to claim 1, characterized in that: Step S1 includes the following steps: Step S11: obtaining the thyroid stimulating hormone receptor antibody response gene sequence corresponding to the clinical sample; Step S12: using a specific probe and a microscope to observe the gene sequence reaction of the thyroid stimulating hormone receptor antibody reaction gene sequence to generate a thyroid stimulating hormone receptor antibody reaction sequence spectrum; Step S13: performing PCR amplification on the target antibody gene sequence corresponding to the thyroid stimulating hormone receptor antibody reaction sequence spectrum according to the preset specific single-stranded DNA primers to obtain a high-concentration target gene amplification product corresponding to the thyroid stimulating hormone receptor target antibody gene sequence; Step S14: performing antibody reaction level analysis on the high-concentration target gene amplification product based on the thyroid stimulating hormone receptor antibody to obtain the thyroid stimulating hormone receptor antibody reaction level; Step S15: Based on the thyroid stimulating hormone receptor antibody response level, the thyroid stimulating hormone receptor antibody response gene sequence is identified and screened for response mutation sites to obtain the thyroid stimulating antibody abnormal response gene sequence corresponding to the functional mutation site.

3. The data mining and analysis method for thyroid stimulating hormone receptor antibody response according to claim 2, characterized in that: Step S14 includes the following steps: Step S141: performing an antibody binding reaction on the thyroid stimulating hormone receptor antibody and the high-concentration target gene amplification product, and using magnetic beads to capture the reaction complex during the binding reaction between the thyroid stimulating hormone receptor antibody and the high-concentration target gene amplification product to obtain a thyroid stimulating hormone receptor antibody-target gene complex; Step S142: measuring the antibody binding amount of the thyroid stimulating hormone receptor antibody-target gene complex by enzyme labeling to obtain the thyroid stimulating hormone receptor antibody reaction binding amount; Step S143: obtaining the corresponding thyroid stimulating hormone receptor antibody reaction time through the binding reaction process between the thyroid stimulating hormone receptor antibody and the high-concentration target gene amplification product, and performing quantitative calculation of the antibody binding rate of the thyroid stimulating hormone receptor antibody reaction binding amount based on the thyroid stimulating hormone receptor antibody reaction time to obtain a thyroid stimulating hormone receptor antibody reaction binding rate data set; Step S144: performing antibody reaction level analysis on the binding reaction process between the thyroid stimulating hormone receptor antibody and the high-concentration target gene amplification product based on the thyroid stimulating hormone receptor antibody reaction binding rate data set to obtain the thyroid stimulating hormone receptor antibody reaction level.

4. The data mining and analysis method for thyroid stimulating hormone receptor antibody response according to claim 3, characterized in that: Step S144 includes the following steps: Surface plasmon resonance technology is used to perform antibody reaction kinetic analysis on the binding reaction process at each antibody reaction binding rate data point in the thyroid stimulating hormone receptor antibody reaction binding rate data set to generate a thyroid stimulating hormone receptor antibody reaction binding kinetic curve; The binding speed of the thyroid stimulating hormone receptor antibody reaction binding kinetic curve is monitored in real time to obtain the thyroid stimulating hormone receptor antibody reaction binding speed; Based on the thyroid stimulating hormone receptor antibody reaction binding speed, the reaction binding strength of the binding reaction process between the thyroid stimulating hormone receptor antibody and the high-concentration target gene amplification product was analyzed to obtain the thyroid stimulating hormone receptor antibody reaction binding strength; Flow cytometry was used to analyze the cell binding affinity level of the binding reaction between the thyroid stimulating hormone receptor antibody and the high-concentration target gene amplification product to obtain the cell binding affinity level of the thyroid stimulating hormone receptor antibody; Based on the thyroid stimulating hormone receptor antibody reaction binding intensity and the thyroid stimulating hormone receptor antibody cell binding affinity level, the thyroid stimulating hormone receptor antibody reaction level calculation formula is used to quantify the antibody reaction process between the thyroid stimulating hormone receptor antibody and the high-concentration target gene amplification product to obtain the thyroid stimulating hormone receptor antibody reaction level.

5. The data mining and analysis method for thyroid stimulating hormone receptor antibody response according to claim 4, characterized in that: The specific calculation formula of the thyroid stimulating antibody response level is: ； In the formula, is the thyroid stimulating hormone receptor antibody response level, is the reaction time range parameter, is the integral time variable parameter, is the binding strength of the thyroid stimulating hormone receptor antibody reaction, is the thyrotropin receptor antibody cell binding affinity level, is the dissociation constant of the thyroid stimulating hormone receptor antibody, For in time The corresponding thyroid stimulating hormone receptor antibody concentration, For in time The corresponding thyroid stimulating hormone receptor antigen concentration, is the antibody reaction time decay factor, is the correction factor for the thyroid stimulating hormone receptor antibody response level.

6. The data mining and analysis method for thyroid stimulating hormone receptor antibody response according to claim 2, characterized in that: Step S15 includes the following steps: Step S151: based on the thyroid stimulating hormone receptor antibody response level, the antibody response level dynamic change of the thyroid stimulating hormone receptor antibody response gene sequence is plotted to generate a time series dynamic change map of the antibody response level corresponding to the thyroid stimulating hormone receptor antibody response gene sequence; Step S152: obtaining a normal antibody response level change map in a known thyroid stimulating hormone receptor gene database, and performing sequence mutation comparison analysis on the antibody response level time series dynamic change map based on the normal antibody response level change map to obtain a thyroid stimulating hormone antibody response gene sequence corresponding to a candidate region with a mutation site; Step S153: further predict the functional impact of the thyroid stimulating hormone antibody response gene sequence corresponding to the candidate region with mutation sites to determine the mutation sites corresponding to the functional impact on the thyroid stimulating hormone receptor antibody response, and perform abnormal identification screening on the corresponding thyroid stimulating hormone receptor antibody response gene sequence based on the mutation sites corresponding to the functional impact to obtain the thyroid stimulating antibody abnormal response gene sequence corresponding to the functional mutation sites.

7. The data mining and analysis method for thyroid stimulating hormone receptor antibody response according to claim 1, characterized in that: Step S2 includes the following steps: Step S21: performing abnormal reaction characteristic factor analysis on the thyroid stimulating antibody abnormal reaction gene sequence corresponding to the functional mutation site to obtain the thyroid stimulating antibody abnormal reaction mutation characteristic factor; Step S22: Acquire thyroid stimulating hormone receptor test data, wherein the thyroid stimulating hormone receptor test data includes TSH level, T3 level and T4 level; Step S23: Calculate the ratio of the T3 level and the T4 level in the thyroid stimulating hormone receptor experimental data to obtain the thyroid stimulating hormone T3 / T4 level ratio; Step S24: Based on the abnormal reaction mutation characteristic factor of thyroid stimulating antibody, the mutation factor and functional index correlation characterization analysis is performed on the TSH level and the thyroid stimulating hormone T3 / T4 level ratio to obtain the thyroid stimulating abnormal reaction mutation factor-functional hormone level correlation matrix; Step S25: performing association rule mining analysis between reaction mutations and functional indicators based on the thyroid stimulating antibody abnormal reaction mutation factor-functional hormone level association matrix to obtain the association rule relationship between the thyroid stimulating antibody abnormal reaction mutation and the functional indicator.

8. The data mining and analysis method for thyroid stimulating hormone receptor antibody response according to claim 7, characterized in that: Step S24 includes the following steps: Step S241: performing correlation calculation between mutation factors and functional indicators based on abnormal reaction mutation characteristic factors of thyroid stimulating antibodies on TSH levels and thyroid stimulating hormone T3 / T4 level ratios, and obtaining correlation influence indexes between each reaction mutation characteristic factor and TSH and T3 / T4 levels; Step S242: evaluating the response responsiveness of the corresponding abnormal thyroid stimulating antibody response mutation characteristic factor based on the correlation influence index between each response mutation characteristic factor and TSH and T3 / T4 levels, and obtaining the hormone level responsiveness influence score between each response mutation characteristic factor and TSH and T3 / T4 levels; Step S243: based on the correlation influence index between each reaction mutation characteristic factor and TSH and T3 / T4 levels, the interaction comparison between the abnormal reaction mutation characteristic factor of thyroid stimulating antibodies and TSH levels and the ratio of thyroid stimulating hormone T3 / T4 levels is performed to determine that if the corresponding correlation influence index is greater than or equal to a preset correlation threshold, the corresponding interaction relationship is determined as a displayed correlation interaction relationship; if the corresponding correlation influence index is less than the preset correlation threshold, the corresponding interaction relationship is determined as an implicit correlation interaction relationship, so as to obtain the correlation interaction connection relationship between each reaction mutation characteristic factor and TSH and T3 / T4 levels; Step S244: The hormone level responsiveness impact score is determined as the influence weight between each reaction mutation characteristic factor and TSH, T3 / T4 level, and the mutation factor and functional index association characterization analysis is performed based on the influence weight and associated interaction connection relationship between each reaction mutation characteristic factor and TSH, T3 / T4 level to obtain the thyroid abnormal reaction mutation factor-functional hormone level association matrix.

9. The data mining and analysis method for thyroid stimulating hormone receptor antibody response according to claim 1, characterized in that: Step S3 includes the following steps: Step S31: based on the association rule relationship between the abnormal reaction mutation of thyroid stimulating antibodies and the functional index, a functional association influence point map is drawn for the abnormal reaction gene sequence of thyroid stimulating antibodies corresponding to the functional mutation site, so as to generate a functional association influence point map between the mutation site corresponding to the abnormal reaction gene sequence and the functional index; Step S32: performing in-depth mining and analysis on the functional association influence point map between the mutation sites corresponding to the abnormal response gene sequence and the functional indicators to obtain a mutation influence factor network corresponding to the abnormal response gene sequence; Step S33: Obtain the environmental factors and genetic biological factors corresponding to the abnormal reaction gene sequence of thyroid stimulating antibodies, and analyze the antibody reaction mutation influencing factors on the mutation influencing factor network corresponding to the abnormal reaction gene sequence based on the environmental factors and genetic biological factors to obtain the thyroid stimulating hormone receptor antibody reaction mutation influencing factors.

10. A data mining and analysis system for thyroid stimulating hormone receptor antibody response, characterized in that: The method for performing the data mining and analysis of the thyroid stimulating hormone receptor antibody reaction according to claim 1, wherein the data mining and analysis system for the thyroid stimulating hormone receptor antibody reaction comprises: The antibody response mutation abnormal screening module is used to obtain the thyroid stimulating hormone receptor antibody response gene sequence, and perform antibody response level analysis on the thyroid stimulating hormone receptor antibody response gene sequence to obtain the thyroid stimulating hormone receptor antibody response level; based on the thyroid stimulating hormone receptor antibody response level, the thyroid stimulating hormone receptor antibody response gene sequence is subjected to response mutation site identification and screening, thereby obtaining the thyroid stimulating hormone receptor antibody abnormal response gene sequence corresponding to the functional mutation site; The reaction mutation and functional index association mining module is used to perform abnormal reaction characteristic factor analysis on the thyroid stimulating antibody abnormal reaction gene sequence corresponding to the functional mutation site to obtain the thyroid stimulating antibody abnormal reaction mutation characteristic factor; obtain thyroid stimulating hormone receptor experimental data, wherein the thyroid stimulating hormone receptor experimental data includes TSH level, T3 level and T4 level, and perform association rule mining analysis between reaction mutation and functional index on the thyroid stimulating hormone receptor experimental data based on the thyroid stimulating antibody abnormal reaction mutation characteristic factor, so as to obtain the association rule relationship between the thyroid stimulating antibody abnormal reaction mutation and the functional index; The antibody response mutation influencing factor analysis module is used to analyze the antibody response mutation influencing factors of the thyroid stimulating antibody abnormal response gene sequence corresponding to the functional mutation site based on the association rule relationship between the thyroid stimulating antibody abnormal response mutation and the functional index, so as to obtain the thyroid stimulating hormone receptor antibody response mutation influencing factors.

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