Method for constructing mouse ovarian endometriosis model

Abstract

The invention relates to the technical field of biomedicine, and discloses a method for constructing a mouse ovary endometriosis model, which comprises the following steps: identifying endometrial tissues of a same donor mouse and bilateral ovaries of a receptor mouse; constructing an ectopic transplantation model of the receptor mouse, and monitoring the survival states of the receptor mouse in different postoperative stages in real time; the growth condition of the ectopic endometrial tissue on the ovary surface is analyzed, and the tissue structure and pathological change of the ectopic endometrial tissue are recognized; determining a lesion area of the ectopic transplantation model, analyzing pathological characteristics and a formation mechanism of the lesion area, and analyzing a correlation degree between the ectopic transplantation model and human endometriosis; and analyzing the simulation effect of the ectopic transplantation model on human endometriosis, and constructing the ovarian endometriosis model of the receptor mouse based on the modeling effect and the ectopic transplantation model. The model forming rate of the endometriosis model and the accuracy of the research result can be improved.

Description

Technical Field

[0001] The present invention relates to the field of biomedical technology, and in particular to a method and system for constructing a mouse ovarian endometriosis model. Background Art

[0002] Endometriosis refers to the appearance of active endometrial tissue in the uterine cavity outside the uterine cavity, such as the fallopian tubes. The ectopic endometrial periodic bleeding and fibrosis of the surrounding tissue can lead to symptoms such as inflammation, pain and infertility. Endometriosis affects about 10% of women of childbearing age worldwide, but its exact cause is not yet fully understood. Animal models are an important means of studying human diseases and can simulate the pathological process of human diseases. Therefore, in order to gain a deeper understanding of the pathological mechanism and diagnostic methods of endometriosis, it is necessary to construct an efficient animal model of endometriosis.

[0003] The traditional method for constructing an endometriosis model mainly uses autologous transplantation, which involves transplanting the experimental animal's own endometrial tissue into the abdominal cavity or other parts to induce the formation of ectopic lesions. Although this method does not have high requirements for experimental animals, it requires the experimental animals to have sufficient quantity and quality of their own stem cells. If the endometrial tissue of the experimental animal itself is of poor quality or insufficient in quantity, it may affect the success rate of model construction. Summary of the invention

[0004] In order to solve the above problems, the present invention provides a method and system for constructing a mouse ovarian endometriosis model, which can improve the modeling rate of the endometriosis model and the accuracy of the research results.

[0005] In a first aspect, the present invention provides a method for constructing a mouse ovarian endometriosis model, comprising:

[0006] Obtaining a recipient mouse to be tested and its corresponding donor mouse of the same species, identifying the endometrial tissue of the donor mouse of the same species and the bilateral ovaries of the recipient mouse, extracting a tissue mass of the endometrial tissue, and extracting the bilateral ovarian surfaces of the bilateral ovaries;

[0007] Based on the tissue mass and the bilateral ovarian surfaces, constructing the ectopic transplantation model of the recipient mouse, monitoring the survival status of the recipient mouse at different stages after surgery in real time, and collecting stained sections of the ectopic transplantation model at different stages after surgery based on the survival status;

[0008] Collecting microscopic images of the stained sections, identifying the ectopic endometrial tissue and ovarian surface of the ectopic transplantation model according to the microscopic images, analyzing the growth of the ectopic endometrial tissue on the ovarian surface, and identifying the tissue structure and pathological changes of the ectopic endometrial tissue;

[0009] Determine the lesion area of ​​the ectopic transplant model in combination with the growth condition, the tissue structure and the pathological changes, analyze the pathological characteristics and formation mechanism of the lesion area, extract the human endometriosis corresponding to the ectopic transplant model, and analyze the degree of association between the ectopic transplant model and the human endometriosis based on the pathological characteristics and the formation mechanism;

[0010] According to the degree of association, the simulation effect of the ectopic transplantation model on the human endometriosis is analyzed, and based on the modeling effect and the ectopic transplantation model, an ovarian endometriosis model of the recipient mouse is generated.

[0011] In a possible implementation of the first aspect, constructing the heterotopic transplantation model of the recipient mouse based on the tissue mass and the bilateral ovarian surfaces includes:

[0012] Dividing the tissue mass equally to obtain an average tissue mass;

[0013] Fixing the average tissue mass on the surface of the bilateral ovaries to obtain ovaries with uterine mass attached;

[0014] Identify the abdominal cavity and ovary extraction incision of the recipient mouse;

[0015] Based on the ovarian extraction incision, the ovary attached to the uterine mass is relocated to the abdominal cavity, and the ovarian extraction incision is sutured to obtain a relocated ovary;

[0016] Based on the relocated ovaries, a heterotopic transplantation model of the recipient mice was generated.

[0017] In a possible implementation of the first aspect, the real-time monitoring of the survival status of the recipient mice at different stages after surgery includes:

[0018] identifying the postoperative physical responses and physiological cycles of the recipient mice;

[0019] Determining the monitoring frequency of the recipient mice according to the postoperative physical response and the physiological cycle;

[0020] Analyze the influencing factors of the postoperative physical response;

[0021] Based on the influencing factors, extracting the blood analysis report of the recipient mouse;

[0022] identifying the inflammation level of the recipient mouse according to the blood analysis report;

[0023] analyzing the risk of complications in the recipient mice based on the inflammation level;

[0024] The monitoring frequency and the complication risk are combined to monitor the survival status of the recipient mice at different stages after surgery in real time.

[0025] In a possible implementation of the first aspect, collecting stained sections of the heterotopic transplantation model at different stages after the operation includes:

[0026] Identifying recipient mice corresponding to the heterotopic transplantation model;

[0027] Based on the heterotopic transplantation model, extracting ovarian tissue and related pathological tissue of the recipient mice at different stages after the operation;

[0028] Fixing the ovarian tissue and the related pathological tissue to obtain fixed tissue;

[0029] Embedding the fixed tissue to obtain embedded tissue;

[0030] extracting tissue sections of the embedded tissue;

[0031] The tissue sections are subjected to histological staining to obtain stained sections.

[0032] In a possible implementation of the first aspect, analyzing the growth of the ectopic endometrial tissue on the surface of the ovary according to the microscopic image includes:

[0033] According to the microscopic image, identifying the degree of interstitial cell proliferation of the ectopic endometrial tissue on the surface of the ovary, and calculating the distribution density of the ectopic endometrial tissue on the surface of the ovary;

[0034] Based on the degree of proliferation of the interstitial cells, risk assessment is performed on the ovarian surface to obtain a risk assessment result;

[0035] identifying the surrounding tissue of the ectopic endometrial tissue according to the distribution density;

[0036] Based on the risk assessment result, analyzing the adhesion between the ovarian surface and the surrounding tissues;

[0037] The growth of the ectopic endometrial tissue on the ovarian surface is analyzed in combination with the degree of interstitial cell proliferation, the distribution density and the adhesion condition.

[0038] In a possible implementation of the first aspect, identifying the tissue structure and pathological changes of the ectopic endometrial tissue includes:

[0039] identifying the glandular morphology and stromal structure of the ectopic endometrium;

[0040] extracting the regularity of the glandular morphology, and identifying the ovarian hormone of the ectopic endometrium based on the regularity;

[0041] analyzing the pathological effects of the ovarian hormone on the glandular morphology and the interstitial structure;

[0042] Based on the pathological effects, identifying cyclical bleeding symptoms and inflammatory responses of the ectopic endometrium;

[0043] Based on the cyclical bleeding symptoms and the inflammatory response, the tissue structure and pathological changes of the ectopic endometrial tissue are identified.

[0044] In a possible implementation of the first aspect, determining the lesion area of ​​the heterotopic transplantation model in combination with the growth condition, the tissue structure, and the pathological change includes:

[0045] Identifying the ectopic endometrium and ovarian surface of the heterotopic transplant model;

[0046] Based on the growth situation, analyzing the activity of the ectopic endometrium on the surface of the ovary;

[0047] According to the tissue structure, dispatching normal ovarian tissue corresponding to the ectopic transplantation model;

[0048] Based on the normal ovarian tissue, identifying abnormal factors of the tissue structure;

[0049] Based on the pathological changes, identifying the diseased tissue of the heterotopic transplantation model, and analyzing the distribution range of the diseased tissue;

[0050] The lesion area of ​​the heterotopic transplantation model is determined by combining the activity level, the abnormal factors and the distribution range.

[0051] In a possible implementation of the first aspect, analyzing the pathological characteristics and formation mechanism of the lesion area in combination with the growth condition, the tissue structure, and the pathological change includes:

[0052] extracting the ectopic endometrium from the lesion area;

[0053] identifying the growth rate of the ectopic endometrium according to the growth condition;

[0054] Based on the growth rate, analyzing the lesion invasion degree of the lesion area;

[0055] identifying the glandular morphology and interstitial structure of the tissue structure, and analyzing the changing trends of the glandular morphology and the interstitial structure;

[0056] According to the change trend, identifying the lesion type of the lesion area;

[0057] Based on the pathological changes, analyzing the risk effect of the lesion area;

[0058] Analyzing the pathological characteristics of the lesion area according to the lesion invasion degree, the lesion type and the risk effect;

[0059] Based on the pathological characteristics, the formation mechanism of the lesion area is analyzed.

[0060] In a possible implementation of the first aspect, analyzing, according to the degree of association, the simulation effect of the ectopic transplantation model on the human endometriosis includes:

[0061] extracting ectopic endometrial tissue and adjacent tissues of the ectopic transplantation model;

[0062] According to the degree of association, analyzing the developmental process of the ectopic endometrial tissue in the ectopic transplantation model;

[0063] Based on the developmental process, identifying the chain reaction of the ectopic endometrial tissue to the adjacent tissue;

[0064] According to the chain reaction, analyzing the clinical manifestations of the heterotopic transplantation model;

[0065] Based on the clinical manifestations, identifying the disease type of the heterotopic transplant model;

[0066] Calculating the characteristic similarity between the disease type and the human endometriosis;

[0067] The simulation effect of the ectopic transplantation model on the human endometriosis is analyzed according to the feature similarity.

[0068] In a second aspect, the present invention provides a system for constructing a mouse ovarian endometriosis model, characterized in that the system comprises:

[0069] A transplantation preparation module, used to obtain a recipient mouse to be tested and its corresponding donor mouse of the same species, identify the endometrial tissue of the donor mouse of the same species and the bilateral ovaries of the recipient mouse, extract the tissue mass of the endometrial tissue, and extract the bilateral ovarian surfaces of the bilateral ovaries;

[0070] An ectopic transplantation module, used to construct an ectopic transplantation model of the recipient mouse based on the tissue mass and the bilateral ovarian surfaces, monitor the survival status of the recipient mouse at different stages after surgery in real time, and collect stained sections of the ectopic transplantation model at different stages after surgery based on the survival status;

[0071] a tissue section analysis module, for collecting microscopic images of the stained sections, identifying the ectopic endometrial tissue and the ovarian surface of the ectopic transplantation model according to the microscopic images, analyzing the growth of the ectopic endometrial tissue on the ovarian surface, and identifying the tissue structure and pathological changes of the ectopic endometrial tissue;

[0072] a pathological identification module, for determining the lesion area of ​​the ectopic transplantation model in combination with the growth condition, the tissue structure and the pathological changes, analyzing the pathological characteristics and formation mechanism of the lesion area, extracting the human endometriosis corresponding to the ectopic transplantation model, and analyzing the degree of association between the ectopic transplantation model and the human endometriosis based on the pathological characteristics and the formation mechanism;

[0073] A model generation module is used to analyze the simulation effect of the ectopic transplantation model on the human endometriosis according to the degree of association, and to generate an ovarian endometriosis model of the recipient mouse based on the modeling effect and the ectopic transplantation model.

[0074] Compared with the prior art, the technical principle and beneficial effects of this solution are:

[0075] The embodiment of the present invention helps to simulate the growth and maintenance of ectopic tissue in human endometriosis by obtaining the recipient mice to be tested and their corresponding donor mice of the same species without being affected by immune rejection, and provides a reliable experimental platform for in-depth understanding of the pathophysiological mechanism of endometriosis; further, the embodiment of the present invention constructs an ectopic transplantation model of the recipient mice based on the tissue mass and the bilateral ovarian surfaces, which can simulate the pathological state of human endometriosis, and can detect possible postoperative complications at an early stage by real-time monitoring of the survival status of the recipient mice at different stages after surgery; secondly, the embodiment of the present invention collects the The microscopic images of the stained sections are analyzed to analyze the growth of the ectopic endometrial tissue on the surface of the ovary, identify the tissue structure and pathological changes of the ectopic endometrial tissue, and visually see the subtle tissue structure of the ectopic transplantation model, which helps to confirm the existence, morphology and relationship of the ectopic endometrial tissue with the surrounding tissues, so as to further understand the growth mode, lesion range, tissue structure changes and possible pathological changes of the ectopic endometrium on the surface of the ovary, thereby providing valuable reference information for the research and treatment of endometriosis; thirdly, the embodiments of the present invention determine the lesion area of ​​the ectopic transplantation model by combining the growth condition, the tissue structure and the pathological changes, and classify the ectopic endometrial tissue into the ovarian surface. By observing and analyzing the pathological characteristics and formation mechanism of the lesion area, we can have a deeper understanding of the growth and change process of ectopic endometrial tissue on the surface of the ovary, thereby revealing the pathological mechanism of the disease. The lesion area refers to the growth site of ectopic endometrial tissue on the surface of the mouse ovary, and the pathological characteristics refer to the morphological, cytological and molecular biological characteristics of endometriosis in the mouse ovary model. Based on the pathological characteristics and the formation mechanism, the correlation between the ectopic transplantation model and the human endometriosis is analyzed to enhance the in-depth understanding of the pathogenesis of human endometriosis and reveal the ovarian endometrium. The root cause of ectopic diseases provides a scientific basis for subsequent treatment; finally, the embodiment of the present invention generates the ovarian endometriosis model of the recipient mouse based on the modeling effect and the ectopic transplantation model, which can simulate the ectopic endometrium growth environment in the human body, and provides an important experimental tool for the study of endometriosis, which is helpful to deeply explore its pathogenesis, pathophysiological processes and potential therapeutic targets. At the same time, the ectopic transplantation model of the recipient mouse is constructed by allogeneic transplantation, which is less traumatic to the recipient animal, and helps to reduce the pain and stress response of the experimental animals, thereby improving the modeling rate of the endometriosis model and the accuracy and reliability of the research results. Therefore, the method for constructing the mouse ovarian endometriosis model proposed in the present invention can improve the modeling rate of the endometriosis model and the accuracy of the research results. BRIEF DESCRIPTION OF THE DRAWINGS

[0076] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0077] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0078] Figure 1 A schematic diagram of a process for constructing a mouse ovarian endometriosis model provided by one embodiment of the present invention;

[0079] Figure 2 A schematic diagram of modules of a system for constructing a mouse ovarian endometriosis model provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0080] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0081] The embodiment of the present invention provides a method for constructing a mouse ovarian endometriosis model, and the execution subject of the method for constructing a mouse ovarian endometriosis model includes but is not limited to at least one of the electronic devices that can be configured to execute the method provided by the embodiment of the present invention, such as a server, a terminal, etc. In other words, the method for constructing a mouse ovarian endometriosis model can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc. The server can be an independent server, or it can be a cloud server that provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content distribution networks (Content De li very Network, CDN), and basic cloud computing services such as big data and artificial intelligence platforms.

[0082] See also Figure 1 FIG. 1 is a flow chart of a method for constructing a mouse ovarian endometriosis model provided by an embodiment of the present invention. Figure 1 The method described in the article for constructing a mouse ovarian endometriosis model includes:

[0083] S1. Obtain a recipient mouse to be tested and its corresponding donor mouse of the same species, identify the endometrial tissue of the donor mouse of the same species and the bilateral ovaries of the recipient mouse, extract the tissue mass of the endometrial tissue, and extract the bilateral ovarian surfaces of the bilateral ovaries.

[0084] The embodiments of the present invention help simulate the growth and maintenance of ectopic tissue in human endometriosis by obtaining recipient mice to be tested and their corresponding donor mice of the same species without being affected by immune rejection. The recipient mice refer to animal models undergoing transplantation surgery, and the donor mice of the same species as the recipient mice undergoing transplantation refer to donor mice used to provide endometrial tissue for transplantation.

[0085] Furthermore, the embodiments of the present invention can provide an experimental platform for in-depth understanding of the pathophysiological mechanism of endometriosis by identifying the endometrial tissue of the same species donor mouse and the bilateral ovaries of the recipient mouse, wherein the endometrial tissue refers to the endometrial tissue extracted from the uterus of the donor mouse, and the bilateral ovaries refer to the two ovaries of the recipient mouse, which are located on both sides of the uterus.

[0086] Optionally, identification of the endometrial tissue of the donor mouse of the same species and the bilateral ovaries of the recipient mouse can be achieved using imaging examinations, such as ultrasound examination.

[0087] The embodiment of the present invention can improve cell activity, reduce trauma to recipient animals, and increase the probability of successful model establishment by extracting the tissue mass of endometrial tissue and the bilateral ovarian surfaces of the bilateral ovaries, while avoiding deviations in experimental results due to surgical damage to the ovaries. The tissue mass refers to endometrial tissue extracted from the uterus of donor mice and cut or processed into smaller masses or fragments, and the bilateral ovarian surfaces refer to the parts of the ovaries that directly contact the intra-abdominal environment.

[0088] Exemplarily, the extraction of the tissue mass of endometrial tissue includes: euthanizing a 9-week-old female mouse, dissecting the whole mouse to obtain the uterine tissue and cleaning the excess fibrous adipose tissue, and washing it with phosphate buffered saline (PBS). After shearing the uterus, the endometrial tissue was incubated with collagenase solution at 37°C for 30 minutes, centrifuged to remove the supernatant, and resuspended with 100 microliters of phosphate buffered saline (PBS), and centrifuged and washed again to remove the collagenase. The obtained endometrial tissue is used for transplantation.

[0089] Optionally, the bilateral ovarian surface extraction of the bilateral ovaries can be obtained by separating the ovarian cyst wall from the ovarian surface.

[0090] S2. Based on the tissue mass and the bilateral ovarian surfaces, a heterotopic transplantation model of the recipient mice is constructed, and the survival status of the recipient mice at different stages after surgery is monitored in real time. Based on the survival status, staining sections of the heterotopic transplantation model at different stages after surgery are collected.

[0091] The embodiment of the present invention can simulate the pathological state of human endometriosis by constructing the ectopic transplantation model of the recipient mouse based on the tissue mass and the bilateral ovarian surfaces, and provide direct evidence on how ectopic tissue affects the structure and function of the ovary. The ectopic transplantation model refers to a model generated in the recipient mouse by transplanting endometrial tissue from the same species of donor mice onto the ovaries of the recipient mouse and then transplanting it back into the abdominal cavity of the recipient mouse.

[0092] As an embodiment of the present invention, the heterotopic transplantation model of the recipient mouse is constructed based on the tissue mass and the bilateral ovarian surfaces, including: dividing the tissue mass equally to obtain an average tissue mass; fixing the average tissue mass on the bilateral ovarian surfaces to obtain an ovary with a uterine mass attached; identifying the abdominal cavity and ovarian extraction incision of the recipient mouse; based on the ovarian extraction incision, resetting the ovary with a uterine mass attached to the abdominal cavity, and suturing the ovarian extraction incision to obtain a relocated ovary; based on the relocated ovary, generating the heterotopic transplantation model of the recipient mouse.

[0093] Among them, the average tissue mass refers to the endometrial tissue of the donor mouse cut into small pieces or masses of equal size, the ovary attached to the uterine mass refers to the structure formed after the equally divided endometrial tissue is fixed to the surface of the bilateral ovaries of the recipient mouse, the abdominal cavity refers to a body cavity in the mouse, the ovarian extraction incision refers to the incision made on the skin and muscle of the back of the mouse, which is used to extract the ovary and reposition the ovary, and the repositioned ovary refers to the ovary obtained after the ovary with the endometrial tissue mass attached is placed back into the abdominal cavity of the recipient mouse.

[0094] Optionally, the abdominal cavity of the recipient mouse can be identified by anatomical positioning, the ovary extraction incision of the recipient mouse can be determined by a back incision of the recipient mouse, and the suturing of the ovary extraction incision can be achieved by a Z-shaped suturing method.

[0095] Furthermore, the embodiments of the present invention help to evaluate whether the operation is successful and whether the transplanted endometrial tissue grows as expected by real-time monitoring of the survival status of the recipient mice at different stages after surgery, and can detect possible postoperative complications at an early stage by observing the behavior and physiological reactions of the mice. The different postoperative stages refer to key time points after the transplant surgery used to evaluate the transplant effect and the development of ectopic lesions, such as 2 weeks after surgery. The survival status refers to the health status and behavioral reactions of the recipient mice after surgery, such as eating habits, pain reactions, weight changes, etc.

[0096] As an embodiment of the present invention, the real-time monitoring of the survival status of the recipient mice at different stages after surgery includes: identifying the postoperative physical reactions and physiological cycles of the recipient mice; determining the monitoring frequency of the recipient mice based on the postoperative physical reactions and the physiological cycles; analyzing the influencing factors of the postoperative physical reactions; based on the influencing factors, extracting the blood analysis report of the recipient mice; based on the blood analysis report, identifying the inflammation level of the recipient mice; based on the inflammation level, analyzing the complication risk of the recipient mice; and combining the monitoring frequency and the complication risk to monitor the survival status of the recipient mice at different stages after surgery in real time.

[0097] Among them, the postoperative physical reaction refers to the physiological and behavioral changes that occur in mice after surgery, including pain, discomfort, changes in activity, changes in appetite, changes in weight, etc.; the physiological cycle refers to the estrus cycle of mice; the monitoring frequency refers to the frequency of health monitoring of mice; the influencing factors refer to various factors that may affect the postoperative recovery and physiological state of mice, including surgical operations, anesthesia, infection risks, environmental changes, etc.; the blood analysis report refers to a comprehensive analysis of mouse blood samples, including blood cell counts, biochemical analysis, coagulation function tests, etc.; the inflammation level refers to the degree of inflammation in mice; and the complication risk refers to the risk of complications that may occur in mice after surgery, such as infection, bleeding, organ damage, etc.

[0098] Optionally, the analysis of the postoperative physical reaction of the recipient mice can be determined by examining physiological indicators, the analysis of the influencing factors of the postoperative physical reaction can be achieved using a multifactor analysis method, and based on the blood analysis report, the identification of the inflammation level of the recipient mice can be evaluated by the levels of inflammatory factors in the blood analysis report.

[0099] The embodiment of the present invention collects stained sections of the ectopic transplantation model at different stages after the operation based on the survival status, and can confirm whether the transplanted endometrial tissue forms typical ectopic lesions on the ovaries through pathological examination of the stained sections, and observe the morphological changes of the ectopic lesions over time. The stained sections refer to tissue sections obtained after thin slices of biological tissue are processed by specific staining techniques.

[0100] As an embodiment of the present invention, the collection of stained sections of the ectopic transplantation model at different stages after the operation includes: identifying the recipient mice corresponding to the ectopic transplantation model; based on the ectopic transplantation model, extracting the ovarian tissue and related diseased tissue of the recipient mice at different stages after the operation; fixing the ovarian tissue and the related diseased tissue to obtain fixed tissue; embedding the fixed tissue to obtain embedded tissue; extracting tissue sections of the embedded tissue; and performing histological staining on the tissue sections to obtain stained sections.

[0101] Among them, the ovarian tissue refers to the ovarian tissue of the recipient mouse after ectopic endometrial transplantation surgery, the related diseased tissue refers to the tissue adjacent to the ovarian tissue or affected by the ectopic transplantation, the fixed tissue refers to the ovarian tissue and related diseased tissue treated with a fixative (such as 10% formalin), the embedded tissue refers to the tissue sample obtained by embedding the fixed ovarian tissue and related diseased tissue in a medium, such as a paraffin medium, and the tissue section refers to the sample obtained after the embedded tissue is cut into thin slices.

[0102] Optionally, based on the heterotopic transplantation model, the ovarian tissue and related pathological tissue of the recipient mice at different stages after the operation can be obtained by anatomical surgery, the fixation of the ovarian tissue and the related pathological tissue can be achieved using 10% (w / v) phosphate-buffered formalin, and the tissue section extraction of the embedded tissue can be obtained by a slicer.

[0103] S3. Collecting microscopic images of the stained sections, identifying the ectopic endometrial tissue and ovarian surface of the ectopic transplantation model based on the microscopic images, analyzing the growth of the ectopic endometrial tissue on the ovarian surface, and identifying the tissue structure and pathological changes of the ectopic endometrial tissue.

[0104] By collecting the microscopic images of the stained sections, the embodiment of the present invention can visually see the subtle tissue structure of the ectopic transplantation model, helping to confirm the existence, morphology and relationship of the ectopic endometrial tissue with the surrounding tissues. The microscopic image refers to the image observed under a microscope.

[0105] Optionally, the microscopic image acquisition of the stained sections can be achieved using a microscope.

[0106] Furthermore, the embodiment of the present invention can confirm whether the model is successfully established by identifying the ectopic endometrial tissue and ovarian surface of the ectopic transplantation model based on the microscopic image, so as to explore the pathogenesis of endometriosis. The ectopic endometrium refers to the endometrial tissue appearing on the mouse ovaries, and the ovarian surface refers to the outer structure of the ovaries.

[0107] Optionally, the ectopic endometrial tissue and ovarian surface identification of the ectopic transplantation model based on the microscopic image can be obtained through laparoscopic surgery.

[0108] The embodiment of the present invention can help evaluate the growth degree and activity of the ectopic endometrium by analyzing the growth of the ectopic endometrial tissue on the surface of the ovary according to the microscopic image, so as to determine the degree of its impact on ovarian function. The growth condition refers to the state and characteristics of the growth of the ectopic endometrial tissue on the surface of the ovary and its possible impact on the ovary and surrounding tissues.

[0109] As an embodiment of the present invention, analyzing the growth of the ectopic endometrial tissue on the ovarian surface based on the microscopic image includes: identifying the degree of stromal cell proliferation of the ectopic endometrial tissue on the ovarian surface based on the microscopic image, and calculating the distribution density of the ectopic endometrial tissue on the ovarian surface; performing a risk assessment on the ovarian surface based on the degree of stromal cell proliferation to obtain a risk assessment result; identifying the surrounding tissue of the ectopic endometrial tissue based on the distribution density; analyzing the adhesion of the ovarian surface to the surrounding tissue based on the risk assessment result; and analyzing the growth of the ectopic endometrial tissue on the ovarian surface in combination with the degree of stromal cell proliferation, the distribution density and the adhesion.

[0110] Among them, the degree of interstitial cell proliferation refers to the proliferation of interstitial cells in ectopic endometrial tissue, the distribution density refers to the distribution density of ectopic endometrial tissue on the ovarian surface, the risk assessment result refers to the risk assessment of the ovarian surface based on the degree of interstitial cell proliferation, and the risk assessment result obtained, such as pain, infertility, etc., the surrounding tissue refers to the tissue adjacent to the ectopic endometrial tissue, such as peritoneum, ligaments, etc., and the adhesion condition refers to the degree of adhesion between the ectopic endometrial tissue and the surrounding tissue of the ovary.

[0111] Optionally, the identification of the degree of stromal cell proliferation of the ectopic endometrial tissue on the ovarian surface based on the microscopic image can be determined by observing stained sections under a microscope, and the risk assessment of the ovarian surface based on the degree of stromal cell proliferation can be achieved using a risk assessment model.

[0112] In an optional embodiment of the present invention, the distribution density of the ectopic endometrial tissue on the ovarian surface is calculated according to the microscopic image using the following formula:

[0113]

[0114] Where p represents the distribution density of ectopic endometrial tissue on the ovarian surface, Q ef represents the number of pixels in the area under the microscopic image, e and f represent the starting row and column numbers of the microscopic image, m and n represent the total number of image rows and columns in the image parameters, E avg Represents the regional grayscale mean.

[0115] Furthermore, the embodiments of the present invention can further understand the growth pattern, lesion range, tissue structure changes and possible pathological changes of the ectopic endometrium on the ovarian surface by identifying the tissue structure and pathological changes of the ectopic endometrial tissue, thereby providing valuable reference information for the research and treatment of endometriosis. The tissue structure refers to the microscopic arrangement and composition of the ectopic endometrial tissue, including the glands, stroma, blood vessels, etc. of the ectopic endometrium. The pathological characteristics refer to the changes in morphology, structure and function of the ectopic endometrial tissue during its growth due to abnormal position, hormonal influence or other factors, such as glandular hyperplasia, interstitial fibrosis, vascular hyperplasia, etc.

[0116] As an embodiment of the present invention, the identification of the tissue structure and pathological changes of the ectopic endometrial tissue includes: identifying the glandular morphology and interstitial structure of the ectopic endometrium; extracting the regularity of the glandular morphology, and based on the regularity, identifying the ovarian hormone of the ectopic endometrium; analyzing the pathological effects of the ovarian hormone on the glandular morphology and the interstitial structure; based on the pathological effects, identifying the cyclical bleeding symptoms and inflammatory responses of the ectopic endometrium; based on the cyclical bleeding symptoms and the inflammatory response, identifying the tissue structure and pathological changes of the ectopic endometrial tissue.

[0117] Among them, the glandular morphology refers to the appearance and structure of the glands in the ectopic endometrial tissue, the interstitial structure refers to the organization and arrangement of endometrial stromal cells, the regularity refers to the consistency and normality of the morphology and structure of the glands observed under a microscope, the ovarian hormones refer to the hormones secreted by the ovaries, mainly including estrogen and progesterone, the pathological effect refers to the influence of ovarian hormones on ectopic endometrial tissue, such as periodic bleeding and inflammatory response, the periodic bleeding symptoms refer to the periodic bleeding of ectopic endometrial tissue with the changes of ovarian hormones, and the inflammatory response refers to the body's response to ectopic endometrial tissue.

[0118] Optionally, the extraction of the regularity of the glandular morphology can be achieved using an electron microscope, and the identification of ovarian hormones of the ectopic endometrium based on the regularity can be obtained by radioimmunoassay, and the analysis of the pathological effects of ovarian hormones on the glandular morphology and the interstitial structure can be achieved using histological examination, such as observing sections of ectopic endometrial tissue under a microscope.

[0119] S4. Determine the lesion area of ​​the ectopic transplant model in combination with the growth condition, the tissue structure and the pathological changes, analyze the pathological characteristics and formation mechanism of the lesion area, extract the human endometriosis corresponding to the ectopic transplant model, and analyze the degree of correlation between the ectopic transplant model and the human endometriosis based on the pathological characteristics and the formation mechanism.

[0120] The embodiment of the present invention determines the lesion area of ​​the ectopic transplantation model by combining the growth condition, the tissue structure and the pathological changes, and analyzes the pathological characteristics and formation mechanism of the lesion area. By observing and analyzing the pathological characteristics of the lesion area, a deeper understanding of the growth and change process of ectopic endometrial tissue on the ovarian surface can be obtained, thereby revealing the pathological mechanism of the disease. The lesion area refers to the growth site of ectopic endometrial tissue on the mouse ovary surface, the pathological characteristics refer to the morphological, cytological and molecular biological characteristics of endometriosis in the mouse ovarian model, and the formation mechanism refers to the cause and process of endometriosis in the mouse ovarian model.

[0121] As an embodiment of the present invention, the method of determining the diseased area of ​​the ectopic transplant model by combining the growth condition, the tissue structure and the pathological changes includes: identifying the ectopic endometrium and ovarian surface of the ectopic transplant model; analyzing the activity level of the ectopic endometrium on the ovarian surface based on the growth condition; scheduling normal ovarian tissue corresponding to the ectopic transplant model according to the tissue structure; identifying abnormal factors of the tissue structure according to the normal ovarian tissue; identifying the diseased tissue of the ectopic transplant model based on the pathological changes, and analyzing the distribution range of the diseased tissue; and determining the diseased area of ​​the ectopic transplant model by combining the activity level, the abnormal factors and the distribution range.

[0122] Among them, the activity level refers to the response degree of the ectopic endometrium to ovarian hormones, the normal ovarian tissue refers to the ovarian tissue that is not affected by the ectopic endometrium, the abnormal factor refers to the significant deviation or change in the morphology, arrangement, distribution or function of the ovarian tissue compared with the normal situation, the diseased tissue refers to the ovarian tissue affected by the ectopic endometrium and the surrounding diseased tissue, and the distribution range refers to the degree of diffusion of the ectopic endometrial tissue on the surface of the ovary.

[0123] Optionally, the analysis of the activity level of the ectopic endometrium on the ovarian surface based on the growth condition can be obtained by measuring hormone levels, the identification of abnormal factors in the tissue structure based on the normal ovarian tissue can be achieved using gene expression analysis, and the analysis of the distribution range of the diseased tissue based on the pathological changes can be obtained through imaging examinations.

[0124] As an embodiment of the present invention, the combination of the growth condition, the tissue structure and the pathological changes to analyze the pathological characteristics and formation mechanism of the lesion area includes: extracting the ectopic endometrium in the lesion area; identifying the growth rate of the ectopic endometrium according to the growth condition; analyzing the degree of lesion invasion in the lesion area based on the growth rate; identifying the glandular morphology and interstitial structure of the tissue structure, and analyzing the changing trends of the glandular morphology and the interstitial structure; identifying the lesion type in the lesion area based on the changing trends; analyzing the risk effect of the lesion area based on the pathological changes; analyzing the pathological characteristics of the lesion area according to the lesion invasion degree, the lesion type and the risk effect; and analyzing the formation mechanism of the lesion area based on the pathological characteristics.

[0125] Among them, the growth rate refers to the growth rate of the ectopic endometrium on the surface of the ovary, the lesion invasion degree refers to the invasion and influence of the ectopic endometrial lesion area on the surrounding tissues, the change trend refers to the regular characteristics formed by the changes in glandular morphology and interstitial structure over time, such as glandular hyperplasia, the lesion type refers to the identification of the type of lesion based on the change trend of glandular morphology and interstitial structure, such as hyperplastic type, secretory type, etc., and the risk effect refers to the risk of complications that may be brought about by the lesion area, such as pain, infertility, etc.

[0126] Optionally, the identification of the growth rate of the ectopic endometrium based on the growth condition can be obtained through MRI examination, the analysis of the degree of lesion invasion in the lesion area based on the growth rate can be achieved using protein analysis, and the analysis of the changing trends of the glandular morphology and the interstitial structure can be obtained through an optical microscope.

[0127] Furthermore, the embodiment of the present invention can evaluate the accuracy and reliability of the ectopic transplantation model by comparing the pathological characteristics by extracting the human endometriosis corresponding to the ectopic transplantation model, wherein the human endometriosis refers to the symptoms of the growth and spread of endometrial tissue in parts of the body other than the uterus.

[0128] Optionally, the human endometriosis extraction corresponding to the ectopic transplantation model can be obtained by color Doppler ultrasound examination.

[0129] The embodiment of the present invention can enhance the in-depth understanding of the pathogenesis of human endometriosis by analyzing the degree of correlation between the ectopic transplantation model and the human endometriosis based on the pathological characteristics and the formation mechanism, which helps to reveal the root cause of ovarian endometriosis and provide a scientific basis for subsequent treatment. The degree of correlation refers to the strength of the correlation or connection between two or more factors, such as the degree of correlation between the pathological characteristics of the ectopic transplantation model and the pathological characteristics of human endometriosis.

[0130] Optionally, the analysis of the degree of association between the ectopic transplantation model and the human endometriosis based on the pathological characteristics and the formation mechanism can be achieved using a correlation analysis method.

[0131] S5. Analyze the simulation effect of the ectopic transplantation model on the human endometriosis according to the degree of association, and generate an ovarian endometriosis model of the recipient mouse based on the modeling effect and the ectopic transplantation model.

[0132] The embodiment of the present invention analyzes the simulation effect of the ectopic transplantation model on the human endometriosis according to the degree of association, thereby accurately regulating the modeling process of the ectopic transplantation model, ensuring the reliability and accuracy of the model construction results, and at the same time improving the similarity between the ectopic transplantation model and the human endometriosis, and helping to conduct in-depth research on the pathological mechanism and treatment methods of endometriosis. The simulation effect refers to the effect of the ectopic transplantation model on the human endometriosis model.

[0133] As an embodiment of the present invention, analyzing the simulation effect of the ectopic transplantation model on the human endometriosis according to the degree of association includes: extracting the ectopic endometrial tissue and adjacent tissue of the ectopic transplantation model; analyzing the developmental process of the ectopic endometrial tissue in the ectopic transplantation model according to the degree of association; identifying the chain reaction of the ectopic endometrial tissue on the adjacent tissue based on the developmental process; analyzing the clinical manifestations of the ectopic transplantation model according to the chain reaction; identifying the disease type of the ectopic transplantation model based on the clinical manifestations; calculating the feature similarity between the disease type and the human endometriosis; and analyzing the simulation effect of the ectopic transplantation model on the human endometriosis according to the feature similarity.

[0134] Among them, the adjacent tissue refers to the surrounding tissue in contact with the ectopic endometrial tissue, the development process refers to the growth and development process of the ectopic endometrial tissue in the model, the chain reaction refers to a series of biological reactions caused by the ectopic endometrial tissue to the adjacent tissue, such as inflammation, fibrosis, etc., the clinical manifestations refer to clinical symptoms similar to human endometriosis that appear in the ectopic transplant model, the disease type refers to the disease type identified based on the pathological characteristics and clinical manifestations in the model, and the feature similarity refers to the degree of similarity in features between the ectopic transplant model and human endometriosis.

[0135] Optionally, based on the degree of association, the developmental process analysis of the ectopic endometrial tissue in the ectopic transplantation model can be obtained through regular histological examinations, based on the developmental process, the chain reaction identification of the ectopic endometrial tissue on the adjacent tissue can be achieved using molecular biological analysis methods, based on the chain reaction, the clinical manifestation analysis of the ectopic transplantation model can be determined by animal behavioral tests, and based on the clinical manifestations, the disease type identification of the ectopic transplantation model can be determined by comprehensive pathology and clinical symptom analysis.

[0136] In an optional embodiment of the present invention, the characteristic similarity between the disease type and the human endometriosis is calculated using the following formula:

[0137]

[0138] Among them, S represents the feature similarity between the disease type and human endometriosis, j represents the feature index corresponding to the disease type and human endometriosis, u represents the number of features corresponding to the disease type and human endometriosis, and w j represents the weight coefficient of feature j corresponding to disease type and human endometriosis, x j The jth element of the feature vector x representing the disease type corresponding to human endometriosis, represents the mean of the feature vector x, y j The jth element of the feature vector y representing the disease type and human endometriosis, represents the mean of the eigenvector y.

[0139] Furthermore, the embodiment of the present invention generates the ovarian endometriosis model of the recipient mouse based on the modeling effect and the ectopic transplantation model, which can simulate the growth environment of the ectopic endometrium in the human body, and provides an important experimental tool for the study of endometriosis, which is helpful for in-depth exploration of its pathogenesis, pathophysiological processes and potential therapeutic targets. At the same time, the ectopic transplantation model of the recipient mouse is constructed by the allogeneic transplantation method, which is less traumatic to the recipient animal and helps to reduce the pain and stress response of the experimental animals, thereby improving the modeling rate of the endometriosis model and the accuracy and reliability of the research results. The ovarian endometriosis model refers to a model in which the same kind of endometrial tissue is implanted into the ovarian surface of the recipient mouse through an ectopic transplantation method to simulate the pathophysiological process of ovarian endometriosis, such as an artificially induced ovarian endometriosis model.

[0140] It can be seen that the embodiments of the present invention, by obtaining the recipient mice to be tested and their corresponding donor mice of the same species, are helpful to simulate the growth and maintenance of ectopic tissues in human endometriosis without being affected by immune rejection, and provide a reliable experimental platform for in-depth understanding of the pathophysiological mechanism of endometriosis; further, the embodiments of the present invention, by constructing an ectopic transplantation model of the recipient mice based on the tissue mass and the bilateral ovarian surfaces, can simulate the pathological state of human endometriosis, and by real-time monitoring of the survival state of the recipient mice at different stages after surgery, possible postoperative complications can be discovered early; secondly, the embodiments of the present invention, by By collecting the microscopic images of the stained sections, analyzing the growth of the ectopic endometrial tissue on the surface of the ovary, and identifying the tissue structure and pathological changes of the ectopic endometrial tissue, the subtle tissue structure of the ectopic transplantation model can be intuitively seen, helping to confirm the existence, morphology and relationship of the ectopic endometrial tissue with the surrounding tissue, so as to further understand the growth mode, lesion range, tissue structure changes and possible pathological changes of the ectopic endometrium on the surface of the ovary, thereby providing valuable reference information for the research and treatment of endometriosis; again, the embodiment of the present invention determines the lesion area of ​​the ectopic transplantation model by combining the growth condition, the tissue structure and the pathological changes. And analyze the pathological characteristics and formation mechanism of the lesion area. By observing and analyzing the pathological characteristics of the lesion area, we can have a deeper understanding of the growth and change process of ectopic endometrial tissue on the surface of the ovary, thereby revealing the pathological mechanism of the disease. The lesion area refers to the growth site of ectopic endometrial tissue on the surface of the mouse ovary, and the pathological characteristics refer to the morphological, cytological and molecular biological characteristics of endometriosis in the mouse ovary model. Based on the pathological characteristics and the formation mechanism, the correlation between the ectopic transplantation model and the human endometriosis is analyzed to enhance the in-depth understanding of the pathogenesis of human endometriosis and reveal the pathological mechanism of ovarian endometriosis. The root cause of endometriosis disease provides a scientific basis for subsequent treatment; finally, the embodiment of the present invention generates the ovarian endometriosis model of the recipient mouse based on the modeling effect and the ectopic transplantation model, which can simulate the ectopic endometrium growth environment in the human body, and provides an important experimental tool for the study of endometriosis, which is helpful to deeply explore its pathogenesis, pathophysiological process and potential therapeutic targets. At the same time, the ectopic transplantation model of the recipient mouse is constructed by allogeneic transplantation, which is less traumatic to the recipient animal, and helps to reduce the pain and stress response of the experimental animals, thereby improving the modeling rate of the endometriosis model and the accuracy and reliability of the research results. Therefore, the method for constructing the mouse ovarian endometriosis model proposed in the present invention can improve the modeling rate of the endometriosis model and the accuracy of the research results.

[0141] like Figure 2 Shown is a system functional module diagram for constructing a mouse ovarian endometriosis model according to the present invention.

[0142] The system 200 for constructing a mouse ovarian endometriosis model of the present invention can be installed in an electronic device. According to the functions to be implemented, the system for constructing a mouse ovarian endometriosis model can include a transplantation preparation module 201, an ectopic transplantation module 202, a tissue section analysis module 203, a pathology identification module 204, and a model generation module 205. The module of the present invention can also be referred to as a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0143] In the embodiment of the present invention, the functions of each module / unit are as follows:

[0144] The transplantation preparation module 201 is used to obtain a recipient mouse to be tested and its corresponding donor mouse of the same species, identify the endometrial tissue of the donor mouse of the same species and the bilateral ovaries of the recipient mouse, extract the tissue mass of the endometrial tissue, and extract the bilateral ovarian surfaces of the bilateral ovaries;

[0145] The heterotopic transplantation module 202 is used to construct the heterotopic transplantation model of the recipient mouse based on the tissue mass and the bilateral ovarian surfaces, monitor the survival status of the recipient mouse at different stages after surgery in real time, and collect stained sections of the heterotopic transplantation model at different stages after surgery based on the survival status;

[0146] The tissue section analysis module 203 is used to collect the microscopic image of the stained section, identify the ectopic endometrial tissue and the ovarian surface of the ectopic transplantation model according to the microscopic image, analyze the growth of the ectopic endometrial tissue on the ovarian surface, and identify the tissue structure and pathological changes of the ectopic endometrial tissue;

[0147] A pathology identification module 204 is used to determine the lesion area of ​​the ectopic transplantation model in combination with the growth condition, the tissue structure and the pathological changes, and analyze the pathological characteristics and formation mechanism of the lesion area, extract the human endometriosis corresponding to the ectopic transplantation model, and analyze the degree of association between the ectopic transplantation model and the human endometriosis based on the pathological characteristics and the formation mechanism;

[0148] The model generation module 205 is used to analyze the simulation effect of the ectopic transplantation model on the human endometriosis according to the degree of association, and generate the ovarian endometriosis model of the recipient mouse based on the modeling effect and the ectopic transplantation model.

[0149] In detail, the modules in the system 200 for constructing a mouse ovarian endometriosis model in the embodiment of the present invention are used in the same manner as described above. Figure 1 The method for constructing a mouse ovarian endometriosis model is the same as the technical means described in and can produce the same technical effects, so it will not be repeated here.

[0150] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0151] 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 method for constructing a mouse ovarian endometriosis model, characterized in that: The method comprises: Obtaining a recipient mouse to be tested and its corresponding donor mouse of the same species, identifying the endometrial tissue of the donor mouse of the same species and the bilateral ovaries of the recipient mouse, extracting a tissue mass of the endometrial tissue, and extracting the bilateral ovarian surfaces of the bilateral ovaries; Based on the tissue mass and the bilateral ovarian surfaces, constructing the ectopic transplantation model of the recipient mouse, monitoring the survival status of the recipient mouse at different stages after surgery in real time, and collecting stained sections of the ectopic transplantation model at different stages after surgery based on the survival status; Collecting microscopic images of the stained sections, identifying the ectopic endometrial tissue and ovarian surface of the ectopic transplantation model according to the microscopic images, analyzing the growth of the ectopic endometrial tissue on the ovarian surface, and identifying the tissue structure and pathological changes of the ectopic endometrial tissue; Determine the lesion area of ​​the ectopic transplant model in combination with the growth condition, the tissue structure and the pathological changes, analyze the pathological characteristics and formation mechanism of the lesion area, extract the human endometriosis corresponding to the ectopic transplant model, and analyze the degree of association between the ectopic transplant model and the human endometriosis based on the pathological characteristics and the formation mechanism; According to the degree of association, the simulation effect of the ectopic transplantation model on the human endometriosis is analyzed, and based on the modeling effect and the ectopic transplantation model, an ovarian endometriosis model of the recipient mouse is generated.

2. The method according to claim 1, characterized in that The method of constructing the heterotopic transplantation model of the recipient mouse based on the tissue mass and the bilateral ovarian surfaces comprises: Dividing the tissue mass equally to obtain an average tissue mass; Fixing the average tissue mass on the surface of the bilateral ovaries to obtain ovaries with uterine mass attached; Identify the abdominal cavity and ovary extraction incision of the recipient mouse; Based on the ovarian extraction incision, the ovary attached to the uterine mass is relocated to the abdominal cavity, and the ovarian extraction incision is sutured to obtain a relocated ovary; Based on the relocated ovaries, a heterotopic transplantation model of the recipient mice was generated.

3. The method according to claim 1, characterized in that The real-time monitoring of the survival status of the recipient mice at different stages after surgery includes: identifying the postoperative physical responses and physiological cycles of the recipient mice; Determining the monitoring frequency of the recipient mice according to the postoperative physical response and the physiological cycle; Analyze the influencing factors of the postoperative physical response; Based on the influencing factors, extracting the blood analysis report of the recipient mouse; identifying the inflammation level of the recipient mouse according to the blood analysis report; analyzing the risk of complications in the recipient mice based on the inflammation level; The monitoring frequency and the complication risk are combined to monitor the survival status of the recipient mice at different stages after surgery in real time.

4. The method according to claim 1, characterized in that The collecting of stained sections of the heterotopic transplantation model at different stages after the operation comprises: Identifying recipient mice corresponding to the heterotopic transplantation model; Based on the heterotopic transplantation model, extracting ovarian tissue and related pathological tissue of the recipient mice at different stages after the operation; Fixing the ovarian tissue and the related pathological tissue to obtain fixed tissue; Embedding the fixed tissue to obtain embedded tissue; extracting tissue sections of the embedded tissue; The tissue sections are subjected to histological staining to obtain stained sections.

5. The method according to claim 1, characterized in that Analyzing the growth of the ectopic endometrial tissue on the surface of the ovary according to the microscopic image includes: According to the microscopic image, identifying the degree of interstitial cell proliferation of the ectopic endometrial tissue on the surface of the ovary, and calculating the distribution density of the ectopic endometrial tissue on the surface of the ovary; Based on the degree of proliferation of the interstitial cells, risk assessment is performed on the ovarian surface to obtain a risk assessment result; identifying the surrounding tissue of the ectopic endometrial tissue according to the distribution density; Based on the risk assessment result, analyzing the adhesion between the ovarian surface and the surrounding tissue; The growth of the ectopic endometrial tissue on the ovarian surface is analyzed in combination with the degree of interstitial cell proliferation, the distribution density and the adhesion condition.

6. The method according to claim 1, characterized in that The identification of the tissue structure and pathological changes of the ectopic endometrial tissue includes: identifying the glandular morphology and stromal structure of the ectopic endometrium; extracting the regularity of the glandular morphology, and identifying the ovarian hormone of the ectopic endometrium based on the regularity; analyzing the pathological effects of the ovarian hormone on the glandular morphology and the interstitial structure; Based on the pathological effects, identifying cyclical bleeding symptoms and inflammatory responses of the ectopic endometrium; Based on the cyclical bleeding symptoms and the inflammatory response, the tissue structure and pathological changes of the ectopic endometrial tissue are identified.

7. The method according to claim 1, characterized in that The step of determining the lesion area of ​​the heterotopic transplantation model by combining the growth condition, the tissue structure and the pathological change comprises: Identifying the ectopic endometrium and ovarian surface of the heterotopic transplant model; Based on the growth situation, analyzing the activity of the ectopic endometrium on the surface of the ovary; According to the tissue structure, dispatching normal ovarian tissue corresponding to the ectopic transplantation model; Based on the normal ovarian tissue, identifying abnormal factors of the tissue structure; Based on the pathological changes, identifying the diseased tissue of the heterotopic transplantation model, and analyzing the distribution range of the diseased tissue; The lesion area of ​​the heterotopic transplantation model is determined by combining the activity level, the abnormal factors and the distribution range.

8. The method according to claim 1, characterized in that The analyzing the pathological characteristics and formation mechanism of the lesion area in combination with the growth condition, the tissue structure and the pathological changes includes: extracting the ectopic endometrium from the lesion area; identifying the growth rate of the ectopic endometrium according to the growth condition; Based on the growth rate, analyzing the lesion invasion degree of the lesion area; identifying the glandular morphology and interstitial structure of the tissue structure, and analyzing the changing trends of the glandular morphology and the interstitial structure; According to the change trend, identifying the lesion type of the lesion area; Based on the pathological changes, analyzing the risk effect of the lesion area; Analyzing the pathological characteristics of the lesion area according to the lesion invasion degree, the lesion type and the risk effect; Based on the pathological characteristics, the formation mechanism of the lesion area is analyzed.

9. The method according to claim 1, characterized in that: Analyzing the simulation effect of the ectopic transplantation model on the human endometriosis according to the correlation degree includes: extracting ectopic endometrial tissue and adjacent tissues of the ectopic transplantation model; According to the degree of association, analyzing the developmental process of the ectopic endometrial tissue in the ectopic transplantation model; Based on the developmental process, identifying the chain reaction of the ectopic endometrial tissue to the adjacent tissue; According to the chain reaction, analyzing the clinical manifestations of the heterotopic transplantation model; Based on the clinical manifestations, identifying the disease type of the heterotopic transplant model; Calculating the characteristic similarity between the disease type and the human endometriosis; The simulation effect of the ectopic transplantation model on the human endometriosis is analyzed according to the feature similarity.

10. A system for constructing a mouse ovarian endometriosis model, characterized in that: The system comprises: A transplantation preparation module, used to obtain a recipient mouse to be tested and its corresponding donor mouse of the same species, identify the endometrial tissue of the donor mouse of the same species and the bilateral ovaries of the recipient mouse, extract the tissue mass of the endometrial tissue, and extract the bilateral ovarian surfaces of the bilateral ovaries; An ectopic transplantation module, used to construct an ectopic transplantation model of the recipient mouse based on the tissue mass and the bilateral ovarian surfaces, monitor the survival status of the recipient mouse at different stages after surgery in real time, and collect stained sections of the ectopic transplantation model at different stages after surgery based on the survival status; a tissue section analysis module, for collecting microscopic images of the stained sections, identifying the ectopic endometrial tissue and the ovarian surface of the ectopic transplantation model according to the microscopic images, analyzing the growth of the ectopic endometrial tissue on the ovarian surface, and identifying the tissue structure and pathological changes of the ectopic endometrial tissue; a pathological identification module, for determining the lesion area of ​​the ectopic transplantation model in combination with the growth condition, the tissue structure and the pathological changes, analyzing the pathological characteristics and formation mechanism of the lesion area, extracting the human endometriosis corresponding to the ectopic transplantation model, and analyzing the degree of association between the ectopic transplantation model and the human endometriosis based on the pathological characteristics and the formation mechanism; A model generation module is used to analyze the simulation effect of the ectopic transplantation model on the human endometriosis according to the degree of association, and to generate an ovarian endometriosis model of the recipient mouse based on the modeling effect and the ectopic transplantation model.

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