35 results about "Immune state" patented technology

To provide an immune state prediction system capable of predicting a future immune state by grasping not only a conventional medical examination and life habit but also a factor of the immune state and genetic information.SOLUTION: An information processing apparatus includes an acquisition unit that acquires state data including at least genetic information of a user and execution data of the user, a learning model creation unit that learns execution data of the user having the state data in association with each other and generates a learning model for predicting an immune state of the user with respect to predetermined state data, a prediction unit that outputs immune state prediction data obtained by predicting an immune state on the basis of the learning model from newly acquired state data, a difference between the immune state prediction data and execution data of the user having the immune state prediction data, and a provision unit that provides at least one of the state data, the execution data, the immune state prediction data, and the analysis data to a user and / or a third party company.SELECTED DRAWING: Figure 1

The application relates to a detection method of anti-preS1 antibody, an anti-preS1 antibody detection kit and application, the application carries out multi-sequence comparison and conservation analysis on preS1 sequences of different genotypes (A, B, C, D and CD mixed type) of HBV, takes type A (AB697487.1), type C (FJ032351.1) and type D (LC519808.1) as reference sequences, based on the sequence consistency standard of 85% of full length and 90% of the key region of functional antibody binding, a highly conservative preS1 full-length antigen sequence is systematically screened out in natural variation, the sequence can cover antigen variation of A-D type HBV, and the sequence is taken as a coating antigen to establish an indirect ELISA detection system, a good linear relationship is presented in the range of 4.88-625 ng / mL, and the Cut-off value is 33.6 ng / mL; clinical verification shows that the method can effectively distinguish chronic hepatitis B patients from healthy control groups, compared with detection methods based on partial fragments or overlapping short fragments, the false negative rate can be significantly reduced, and the method is suitable for HBV infection immune state evaluation, anti-virus curative effect monitoring and prognosis analysis.

The present application provides a method for identifying the immune state of a subject, and a use of a reagent for detecting an IL-1R2 level in a sample from a subject in the preparation of products for identifying the immune state of the subject. The present application further provides an antibody that binds to human IL-1R2 and a use thereof, and a hybridoma cell producing the antibody that binds to human IL-1R2 and a use thereof.

The application discloses a livestock breeding poultry quarantine sampling device, and particularly relates to the technical field of poultry quarantine sampling, and comprises a positioning disc, a positioning sampling assembly is arranged on the positioning disc, the positioning sampling assembly comprises a swivel ring arranged on one side of the positioning disc, a screw rod capable of being displaced up and down is slidly connected to the middle part of the swivel ring, and a top disc is movably connected to the top end of the screw rod. The application effectively removes interfering substances in the sample, avoids the influence of impurities on subsequent pathogen detection results, improves the reliability of quarantine data, and improves the accuracy and comprehensiveness of quarantine results. The blood sample is used for detecting pathogen antibodies, immune state and other indexes, and the fecal sample is used for checking intestinal pathogens, parasite eggs and the like. The two types of samples are complementary and verified, the accuracy and comprehensiveness of the quarantine results are greatly improved, and the problem that a single sample cannot comprehensively judge the health status of poultry is effectively solved.

The application relates to the field of medical diagnosis, and particularly discloses a biomarker combination, a kit and application thereof for HIV / Mtb co-infection immune state evaluation and clinical diagnosis. Peripheral blood samples of HIV infectors, Mtb infectors and HIV / Mtb co-infectors are subjected to multi-factor detection, and Lasso regression is adopted to screen out cytokines such as FGF-2, IL-7, I-309, TNF-alpha, MMP-1 and MMP-7 closely related to HIV / Mtb co-infection, so as to construct a multi-factor diagnosis model. The model shows high sensitivity, specificity and AUC value in the training set and the test set, can effectively distinguish HIV single infection from HIV / Mtb co-infection individuals, and is particularly suitable for the diagnosis of patients with low CD4 + T cell level. The biomarker combination and the kit prepared by the biomarker combination provided by the application can be used as a supplement to immunological detection methods, and provide a new technical means for the clinical diagnosis and immune state evaluation of HIV / Mtb co-infection.

The invention discloses a method for evaluating gastric cancer prognosis by using peripheral blood inflammation related markers, and belongs to the technical field of smart medical treatment. The method comprises the following steps: firstly, constructing an immune state model based on a ratio of neutrophil to lymphocyte and a ratio of platelet to lymphocyte, and outputting an immune state coefficient; constructing a nutrition state model based on serum albumin, globulin concentration and ratio of albumin to globulin, and outputting a nutrition state coefficient; then combining the coefficients with the serum IL-35 and IL-37 concentrations to construct an inflammation risk model, and outputting an inflammation risk coefficient; meanwhile, a behavioral environment state model is constructed based on the daily salt intake and the smoking age limit of the patient, and a behavioral environment state coefficient is output; and finally, integrating the inflammation risk coefficient, the behavior environment state coefficient and the prognosis nutrition index, and obtaining a prognosis evaluation coefficient through a prognosis state evaluation model. Through multi-dimensional and non-invasive index integration and modeling analysis, accurate, economic and convenient evaluation of gastric cancer prognosis is realized.

The invention discloses an integrated computer system for immune state analysis, and belongs to the technical field of immune detection. According to the method, first sequencing data of a T cell receptor of a to-be-detected user are obtained, second sequencing data of a T cell receptor of a historical user before the current moment are obtained, a first undirected weighted graph is constructed according to the first sequencing data, and data vertexes of the first undirected weighted graph are CDR3 clone types of the first sequencing data and CDR3 clone types of the second sequencing data. The data edge of the first undirected weighted graph is the similarity of a CDR3 clone type, and the CDR3 clone type is a unique CDR3 beta amino acid sequence clone type, determining a first analysis feature according to a graph clustering algorithm and the first undirected weighted graph, and determining the immune state of the to-be-detected user according to the first analysis feature and the second analysis feature corresponding to the second sequencing data. The method has the beneficial effect of improving the accuracy of immune state analysis.

The application discloses a pig intestinal lactobacillus salivarius with antimicrobial activity and application thereof, relates to the technical field of microorganisms, and is named pig-LS2023. The strain can produce specific surfactants, the surfactants have antibacterial and antiviral activities, and have the advantages of biodegradability, non-toxicity and stability. The results of antimicrobial experiments show that the inhibition rates of the produced surfactants on pig escherichia coli and streptococcus are 95.06% and 81.80% respectively, and the surfactants have obvious inhibitory effect on PCV2. The research results show that the pig-LS2023 strain is expected to become a candidate probiotic strain for improving the immune state of pigs and producing a new type of anti-infection drug substitute.

The invention provides a single-tube multi-allergen specific basophilic granulocyte detection method based on multicolor flow cytometry, and belongs to the technical field of immunodetection. Through a single-tube multicolor flow cytometry technology, rapid and synchronous quantitative analysis of various allergen-specific basophilic granulocytes in peripheral whole blood is realized, and the detection efficiency and flux are remarkably improved; the method is easy and convenient to operate, small in needed sample size and especially suitable for children and other people with blood sampling difficulty, and the limitation of clinical application is greatly reduced; by directly measuring cell populations closely related to anaphylaxis, a more intuitive and reliable auxiliary diagnosis basis is provided for IgE-mediated anaphylaxis diseases, the immune state change of a patient in the treatment process can be effectively monitored, and a new technical support is provided for clinical precise intervention and curative effect evaluation.

The invention relates to the field of traditional Chinese medicines, in particular to a traditional Chinese medicine composition for preventing and treating sequelae of a damp-heat stasis type pelvic inflammatory disease and application of the traditional Chinese medicine composition. The traditional Chinese medicine composition is prepared from traditional Chinese medicinal materials such as hairyvein agrimony, angelica sinensis, rhizoma smilacis glabrae, cortex phellodendri, zaocys dhumnade, salvia miltiorrhiza, herba lycopi and vinegar-processed bupleurum yunnanense according to a certain weight ratio, wherein the hairyvein agrimony serves as a monarch The traditional Chinese medicine composition can synergistically regulate inflammatory response, reduce the level of proinflammatory factors, improve the expression of anti-inflammatory factors, improve the immune state of a body, remarkably improve local blood perfusion of pelvic cavity and promote repair of a uterus tissue structure. Compared with antibiotic drugs, the traditional Chinese medicine composition disclosed by the invention has more outstanding technical effects in the aspects of improving pelvic blood flow and repairing tissues, and also has a good protection effect on uterine epithelial cells in an inflammatory state. The invention further provides enema liquid prepared from the traditional Chinese medicine composition, a rectal administration preparation and application of the enema liquid and the rectal administration preparation. The traditional Chinese medicine composition provided by the invention is good in safety and clear in action mechanism, can be used for preparing related medicines for preventing and treating damp-heat stasis type pelvic inflammatory disease sequelae, and has a good application prospect.

The application discloses a kind of for in-vivo tumor microenvironment magnetic heat immune closed loop system and control method, belong to biomedical engineering and nanotechnology cross field.For the existing magnetic heat therapy technology cannot carry out real-time self-adaptive regulation according to the dynamic change of GAL-1, IFN-gamma, IL-4 and Th1 / Th2 ratio in tumor microenvironment, easy to cause the problem that immune marker deviates from window, a kind of magnetic heat immune closed loop regulation system is proposed.Firstly, baseline value is obtained and target concentration window is set;Control alternating magnetic field to activate vortex magnetic iron oxide nanoparticles to generate heat and active oxygen;Real-time acquisition of immune marker concentration fed back by implantable electrochemical sensor, dynamically adjust field strength and / or frequency;With single effective activation window, maximum single time length, temperature as stop criterion;After stop, standby and pulse reset.Real-time self-adaptive regulation of in-vivo immune state is realized, immune activation deficiency or immune marker deviation from window is avoided, and normal tissue thermal damage is prevented by multi-level thermal safety constraint.

The present invention relates to an autoantigen-specific nanofusion vaccine composition for the treatment of systemic sclerosis, the composition being for simultaneous immunomodulation and antifibrosis. A nanofusion body carrying a vimentin peptide according to the present invention was found to inhibit tissue fibrosis in systemic sclerosis, reduce the amount of autoantibodies in serum, and regulate the expression of immune-regulatory cells and pathogenic cells associated with systemic sclerosis. The nanofusion body was also found to inhibit tissue fibrosis and to exhibit enhanced anti-fibrotic effects, when co-administered with a vimentin antibody, in an animal model reflecting the immune status of systemic sclerosis patients. In addition, the nano-vaccine was found to decrease the expression of fibrotic and pathogenic factors in tissues and was also found to improve disease activity not only in vimentin-specific systemic sclerosis but also in infection-associated systemic sclerosis.

The application discloses an immune dynamic trajectory modeling method and system, which solves the problems that the prior art cannot accurately locate the inflection point of the change of the immune parameter with age, cannot comprehensively evaluate the immune state of multiple parameters, and lacks visual dynamic trajectory output. The method comprises the following steps: collecting multiple lymphocyte subpopulation parameters in peripheral blood; detecting the trend of each immune parameter with age, calculating the change slope before and after each inflection point; dimension reduction and weighting are performed on multiple immune parameters to construct a comprehensive immune index (CII); and a dynamic trajectory graph containing the inflection point age of each immune parameter, the change slope and the comprehensive index trend graph is output. The application integrates flow cytometry detection data, piecewise regression model and principal component analysis model, can intuitively display the nonlinear and multi-stage characteristics of the evolution of the immune system with age, identify the key aging inflection point, and provide a quantitative tool for population immune state screening, aging mechanism research and drug or nutrition intervention effect evaluation.

The application discloses a kind of sea fish mycobacterium infection mouse model based on T cell immune state difference and its construction method and application.The method under unified infection condition (bacterial amount 1×10 4 CFU, temperature 25 DEG C, time 4 weeks), respectively, constructs the infection model of congenital T cell immune deficiency nude mouse and the thymus pentapeptide processing mouse model of acquired T cell immune regulation, by comparing and analyzing the infection phenotype and pathological changes under different immune states, for the mechanism of T cell immunity in non-tuberculous mycobacterium infection, screening immune regulation treatment drug provides standardized experimental model.

This invention relates to a diagnostic kit for assessing transplant rejection status, belonging to the field of biomedical technology. The invention obtains data on the relative proportions and absolute counts of various immune cell populations in peripheral blood, and measures the ultrasound hemodynamic parameters of the transplanted kidney, including the interlobar artery resistance index and the renal aortic resistance index. It then uses the formula y1 = -1.228a + 0.008b – 0.009c to determine whether acute rejection exists. In the formula, the donor kidney type is defined as variable a, with living donor kidney = 0 and deceased donor kidney = 1; the absolute value of peripheral blood CD4 is defined as a continuous variable b; the absolute value of peripheral blood CD8 is defined as a continuous variable c; and when y1 > 0.5, acute rejection is determined. This invention makes the diagnosis of the immune status of transplanted kidneys non-invasive, optimizing the kidney transplant diagnosis and treatment process.

The invention relates to a method for evaluating the immune state of obese people and a kit thereof, relates to the technical field of medical data mining, and comprises an index combination for evaluating the immune state of the obese people. The index combination comprises the following indexes: hematocrit (HCT), hemoglobin content (HGB), low membrane potential percentage (Ts.MMPlow%) of killer T cells, percentage (T4Tcm%) of central memory assistant T cells, low membrane potential percentage (T8Tn.MMPlow%) of pure killer T cell mitochondria, percentage (NKT.NKG2D +%) of NKT cell expression NKG2D and mitochondrial mass (T8Tcm. MM) of central memory killer T cell mitochondria. The index combination obtained through screening has high biological interpretation and clinical correlation, and the immune state of obese people can be effectively evaluated.

The application provides a composition for clinical diagnosis and treatment of hematological malignancies. The composition is obtained by database acquisition of TCR and BCR rearrangement specific primer fragments, and a primer set suitable for human immune library multiplex PCR is established, which can perform multiplex amplification on CDR3 sequences and incomplete rearrangement sequences. The multiple detection index primers include IGH, IGDH, IGK, IGL, TRB-VJ, TRB-DJ, TRG, TRD. Further research shows that the primer set can perform clinical multi-index detection in various hematological malignancies, can significantly improve the positive detection of clinical samples, can comprehensively detect the immune library of individual patients, realize high-sensitivity MRD tracking, and also can help obtain all abnormal clones of the body and accurately reflect the immune status of the body.

The application relates to an intraoperative intervention measure evaluation method and device based on a generative adversarial network. The method first encodes an intraoperative electroencephalogram signal into a neural disturbance field by introducing a space-time encoder, effectively capturing the space-time propagation mode of a nociceptive stimulus in the brain; then, a generative adversarial network is used to predict a postoperative immune state vector trajectory, capturing the mapping relationship between the neural imprint and the immune imprint left by the nociceptive stimulus in different space-time modes during the operation; then, two different postoperative immune state vector trajectories with and without intervention measures are predicted, the effects of different intervention measures can be simulated and quantitatively compared, so as to assist doctors in optimizing the postoperative recovery and long-term prognosis of patients. The application deeply excavates the space-time characteristics of the intraoperative neural signal, dynamically predicts the postoperative immune state by combining the generative adversarial network, and introduces an intervention operator to simulate the intervention effect, thereby providing an innovative way of prospectively and quantitatively evaluating the effect of intraoperative intervention measures.

The invention discloses a multiple sclerosis intervention suggestion generation system based on individual immune features. The multiple sclerosis intervention suggestion generation system comprises a multi-source immune data acquisition and time sequence standardization processing layer, a multi-scale immune feature extraction and immune state index calculation layer and a non-therapeutic intervention scheme multi-target optimization and generation layer. The method has the following advantages and effects: time sequence alignment, dimension normalization and missing value interpolation of a multi-dimensional immune feature original data set are realized through the multi-source immune data acquisition and time sequence standardization processing layer; through a multi-scale immune feature extraction and immune state index calculation layer, features are extracted from a time domain, a frequency domain and nonlinear dynamics in a multi-scale parallel mode, and immune state indexes are calculated in a fusion mode; and a non-therapeutic intervention scheme is generated through the non-therapeutic intervention scheme multi-objective optimization and generation layer, so that the problems that multi-source heterogeneous immune data integration is difficult, immune state evaluation is not comprehensive and intervention suggestions are lack of individuation and practicability are effectively solved.

The invention is suitable for the technical field of biological data processing, and provides a method for evaluating the immune state and the immune age of a human body, and the method comprises the steps: firstly, based on a preset T cell receptor immune group library, rapidly obtaining multi-dimensional feature set information, then inputting the multi-dimensional feature set information into a preset multi-task deep learning model, and obtaining the immune age of the human body. And evaluation result set information is accurately generated. The problem of signal confusion can be solved, disease specific interference is effectively distinguished and stripped, a purer and more accurate immune age prediction result is obtained, meanwhile, the classification accuracy of the health state under the complex immune background is improved, the generalization ability and robustness of the model are remarkably enhanced, and the method is suitable for popularization and application. A brand-new and integrated solution is provided for early warning of diseases, dynamic monitoring of health status and evaluation of anti-aging intervention curative effect.

The invention belongs to the technical field of biological medicine, and particularly relates to a protein composition and a preparation method thereof. The protein composition is prepared from the following components in parts by weight: 10 to 20 parts of autoblood immune stimulator and 1 to 5 parts of Motilin analogue polypeptide TCL1, the amino acid sequence of the polypeptide TCL1 of the Motilin analogue is as shown in SEQ ID NO. 1. Test results show that by injecting the protein composition prepared by the invention, the immune state can be reversed from pro-inflammatory Th1 type to anti-inflammatory Th2 type reaction, a key immune microenvironment is created for beta cells, and the insulin secretion ability is improved, so that the blood sugar level is reduced, the treatment effect on diabetes is remarkable, and the protein composition has a wide application prospect.

The invention belongs to the technical field of artificial intelligence assisted medical treatment, and particularly relates to a quantitative immune defense function evaluation system based on deep representation learning. Immune features are screened by comparing differences between acquired patients with immunodeficiency syndrome or severe sepsis and healthy control, dimension reduction is carried out by using a deep representation learning model of a variational auto-encoder, and a potential space is constructed. On the basis of the model, a healthy individual is taken as a reference, and a defense immunity score (DimmuScore) is obtained by calculating the distance between a patient and a healthy control in a potential space. As a single biomarker, the score can distinguish samples in different immune states and infection states with high accuracy. In addition, the method can be used as a quantitative index of disease severity in hepatitis B, tuberculosis and new coronavirus queues, and the gradient change of the method directly reflects the disease severity. The framework is verified in five infectious diseases, and a quantitative standard of cross-disease immune defense assessment is established for the first time.

The invention provides a using method of an immune checkpoint detection kit applied to tumor immunodetection, and belongs to the technical field of immunodetection.The method includes the steps that firstly, sample collection and pretreatment are conducted, and then quantitative detection of seven checkpoint proteins is conducted through a multiple microsphere flow type immunofluorescence method. A multi-dimensional feature matrix is constructed based on detection data, wherein the multi-dimensional feature matrix comprises expression level, dynamic change, correlation, combined features and the like. And establishing a sample immune state database, carrying out clustering analysis, and determining a classification standard. And analyzing the features by using a deep learning model to realize automatic classification of samples. Finally, a standardized assessment report is generated, immune state classification results and risk assessment suggestions are provided, and a reference basis is provided for clinical decision making. The technical problem that in the prior art, accurate characterization and multi-dimensional analysis of immune checkpoint information are difficult to achieve, and consequently accurate patient tumor immune state evaluation cannot be provided for medical staff is solved.

This invention belongs to the field of biotechnology, specifically relating to a biomarker for diagnosing immunosuppressive status in chronic tuberculosis and its application. The biomarker is arginase-1. This invention demonstrates that serum Arginase-1 levels are significantly elevated in the progression of chronic tuberculosis, and are significantly positively correlated with the enrichment ratio of myeloid-derived suppressor cells and the expression levels of T cell exhaustion markers. As a key effector molecule of MDSCs, high expression of Arginase-1 reflects abnormal arginine metabolism and T cell exhaustion caused by MDSC amplification, making it an ideal indicator for assessing the immunosuppressive microenvironment in chronic tuberculosis. Using the biomarker of this invention, serum samples can be detected by simple methods such as ELISA, enabling rapid diagnosis, stratification, and dynamic monitoring of the immune status of patients with chronic tuberculosis.

The application provides a pathogen immune spectrum evaluation method based on high-throughput antibody epitope spectrum detection data, comprising: data preparation: obtaining sequencing data of an antigen epitope library and sample sequencing data after immunoprecipitation of the biological sample and the library; data preprocessing: quality control of all sequencing data; data alignment and counting: constructing a reference library index, index alignment, and counting read counts of pathogen epitope peptides; identifying significantly enriched epitope peptides in the sample; calculating a calibration coefficient; calculating enrichment immune characterization features of the pathogen and determining whether it is a positive immune response. The EPIC score evaluation method of the application can efficiently process and summarize thousands of virus site information, accurately evaluate the immune state of an individual against multiple pathogens, extract key information from high-throughput detection data, accurately identify the binding of antibodies and antigen epitopes, and directly present the detection results in a visual image.

This invention discloses a traditional Chinese medicine formula for reducing toxicity and enhancing efficacy in combination with chemotherapy and immunotherapy for non-small cell lung cancer, belonging to the field of traditional Chinese medicine technology. The formula is composed of the following components by weight: Astragalus membranaceus 15-30 parts, Codonopsis pilosula 9-15 parts, Coix lacryma-jobi 15-30 parts, Poria cocos 9-15 parts, Atractylodes macrocephala (stir-fried with wheat bran) 9-15 parts, Citrus reticulata 9-15 parts, Hedyotis diffusa 15-30 parts, Scutellaria barbata 15-30 parts, Selaginella tamariscina 15-30 parts, Hedyotis diffusa 15-30 parts, Prunella vulgaris 9-15 parts, Gallus gallus domesticus (gizzard lining) 10-15 parts, stir-fried Hordeum vulgare 9-15 parts, stir-fried Hordeum vulgare 9-15 parts, and Glycyrrhiza uralensis (processed with honey) 3-6 parts. This invention can synergize with chemotherapy and immunotherapy to improve treatment efficacy and prolong survival, thus overcoming the shortcomings of existing treatments. At the same time, as a traditional Chinese medicine formula, it can significantly reduce the toxic side effects of treatment, improve the body's immune status, and relieve symptoms such as cough and chest tightness, thereby improving the patient's quality of life from multiple dimensions such as efficacy, tolerability, and physical sensation.

The utility model discloses a kit for detecting human HLA-I / II type gene expression typing and expression quantity, which comprises a kit body and a flip type kit cover rotationally connected with the kit body, a paper support is arranged in the kit body, and the paper support divides the interior of the kit body into an upper layer and a lower layer; more than twenty reagent tube holes are formed in the paper support and are divided into three areas, one area is a reverse transcription reagent area used for containing reverse transcription reagent tubes for cDNA synthesis, and the other area is a reverse transcription reagent area used for containing reverse transcription reagent tubes for cDNA synthesis; the second region is an enrichment reagent region and is used for accommodating HLA enrichment amplification related reagent tubes, namely an HLA Target Mix1 reagent tube for capturing HLA-I / II type genes, an HLA Target Mix2 reagent tube for capturing HLA-I / II type genes and a PCR (Polymerase Chain Reaction) reagent for capturing HLA-I / II type genes; and the third region is a library building reagent region and is used for containing a reagent for constructing the DNA library after targeted capture. According to the kit and the use method thereof, the immune state of cells can be evaluated more truly; the method is simple, effective and stable in process.

The invention discloses a pig immune state evaluation method based on a cell specific gene co-expression module. The method comprises the following steps: S1, key module determination: pre-determining a key gene co-expression module significantly associated with pig core immune traits; the key gene co-expression module comprises at least one first module which is selected from a neutrophil transcriptome and is remarkably and positively correlated with the percentage of neutrophil, and at least one second module which is selected from a peripheral blood mononuclear cell transcriptome and is remarkably and positively correlated with the percentage of lymphocyte; and S2, an immune state evaluation step: evaluating the immune state of the to-be-tested pig. Compared with the prior art, the invention has the following beneficial effects: cell specificity: specific immune cells are separated for transcriptome analysis, specific expression signals of neutrophils and PBMCs are accurately captured, the problem of mixed signals of whole blood sequencing is overcome, and evaluation is more targeted and accurate;

The invention relates to the technical field of medical data processing, in particular to a bacteriophage cocktail-based wound infection safety assessment system, which comprises a wound adaptation information construction module, an immune intervention window identification module, a bacteriophage inactivation risk assessment module, a cocktail adaptation consistency analysis module and an application safety conclusion generation module. According to the method, multiple biochemical and immune related indexes in wound exudate and tissue fluid are continuously collected, a time sequence is constructed, quantitative description of dynamic changes of a wound microenvironment is carried out, so that a host immune state is subjected to sequential expression, and an immune active section is identified based on the change trend of the immune indexes; the immune enzyme and defensive factor intensity are combined for collaborative analysis, so that the inactivation risk of the bacteriophage in the immune environment is assessed, and a safety judgment basis is formed through proportional statistics, thereby improving the risk identification capability and application reliability of a treatment scheme under complex individual difference conditions.

The application discloses a blood tumor diagnosis and treatment primer group, a kit and application, the primer group comprises a first primer group and / or a second primer group; the first primer group is used for amplifying IGH, IGDH, IGK and IGL; the second primer group is used for amplifying TRB V-J, TRB D-J, TRG and TRD, after the primer group amplification reordering sequence, the positive detection of a clinical sample can be significantly improved, the CDR3 sequence obtained can be used for clinical monitoring and can independently evaluate the immune group of each patient, accurately reflects the immune state of the individual, dynamically monitors the change of the tumor cells of the patient, and has good reliability and repeatability.