A method for constructing a mouse model of ovarian endometriosis

Abstract

The present invention relates to the field of biomedical technologies and discloses a method for constructing a mouse model of ovarian endometriosis. The method includes: identifying the endometrial tissue of a syngeneic donor mouse and the bilateral ovaries of a recipient mouse; constructing an ectopic transplantation model of the recipient mouse and real-time monitoring the survival status of the recipient mouse at different postoperative stages; 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; determining the lesion area of the ectopic transplantation model, analyzing the pathological characteristics and formation mechanism of the lesion area, and analyzing the degree of association between the ectopic transplantation model and human endometriosis; analyzing the simulation effect of the ectopic transplantation model on human endometriosis, and constructing a mouse model of ovarian endometriosis for the recipient mouse based on the modeling effect and the ectopic transplantation model. The present invention can improve the modeling rate of the endometriosis model and the accuracy of research results.

Description

Technical Field

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

[0002] Endometriosis refers to the presence of active endometrial tissue outside the uterine cavity, such as in the fallopian tubes. The periodic bleeding of the ectopic endometrium and the fibrosis of the surrounding tissues can cause symptoms such as inflammatory reactions, pain, and infertility. Endometriosis affects approximately 10% of reproductive-age women globally, but its exact cause is not fully understood. As an important means of studying human diseases, animal models can simulate the pathological processes of human diseases. Therefore, to deeply understand the pathological mechanism and diagnostic methods of endometriosis, an efficient endometriosis animal model needs to be constructed.

[0003] Traditional methods for constructing endometriosis models mainly use autologous transplantation methods. By transplanting the experimental animal's own endometrial tissue into the abdominal cavity or other parts, the formation of ectopic lesions is induced. Although this method has low requirements for experimental animals, it requires the experimental animals to have a sufficient quantity and quality of their own stem cells. If the quality or quantity of the experimental animal's endometrial tissue itself is poor, it may affect the success rate of model construction. Summary of the Invention

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

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

[0006] Obtaining recipient mice to be experimented and their corresponding syngeneic donor mice, identifying the endometrial tissue of the syngeneic donor mice and the bilateral ovaries of the recipient mice, extracting tissue masses of the endometrial tissue, and extracting the surfaces of the bilateral ovaries;

[0007] Based on the tissue masses and the surfaces of the bilateral ovaries, constructing an ectopic transplantation model of the recipient mice, monitoring the survival status of the recipient mice at different postoperative stages in real time, and based on the survival status, collecting stained sections of the ectopic transplantation model at different postoperative stages;

[0008] 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;

[0009] Based on the growth condition, the tissue structure, and the pathological changes, determine the lesion area of the ectopic transplantation model, 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;

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

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

[0012] Perform an equal division process on the tissue mass to obtain an average tissue mass;

[0013] Fix the average tissue mass on the bilateral ovarian surfaces to obtain an ovary with an attached uterine mass;

[0014] Identify the abdominal cavity and ovarian extraction incisions of the recipient mouse;

[0015] Based on the ovarian extraction incision, reposition the ovary with the attached uterine mass into the abdominal cavity, and suture the ovarian extraction incision to obtain a repositioned ovary;

[0016] Generate the ectopic transplantation model of the recipient mouse based on the repositioned ovary.

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

[0018] Identify the postoperative physical reactions and physiological cycles of the recipient mouse;

[0019] Determine the monitoring frequency of the recipient mouse according to the postoperative physical reactions and the physiological cycles;

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

[0021] Extract the blood analysis report of the recipient mouse based on the influencing factors;

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

[0023] Analyze the complication risk of the recipient mouse based on the inflammation level;

[0024] Combined with the monitoring frequency and the complication risk, the survival status of the recipient mice at different postoperative stages is monitored in real time.

[0025] In a possible implementation manner of the first aspect, collecting the stained sections of the ectopic transplantation model at different postoperative stages includes:

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

[0027] Based on the ectopic transplantation model, extracting the ovarian tissue and related lesion tissues of the recipient mice at different postoperative stages;

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

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

[0030] Extracting tissue sections of the embedded tissues;

[0031] Performing histological staining on the tissue sections to obtain stained sections.

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

[0033] According to the microscopic image, identifying the degree of stromal cell hyperplasia of the ectopic endometrial tissue on the ovarian surface and calculating the distribution density of the ectopic endometrial tissue on the ovarian surface;

[0034] Based on the degree of stromal cell hyperplasia, performing a risk assessment on the ovarian surface to obtain a risk assessment result;

[0035] According to the distribution density, identifying the surrounding tissues of the ectopic endometrial tissue;

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

[0037] Combined with the degree of stromal cell hyperplasia, the distribution density and the adhesion condition, analyzing the growth of the ectopic endometrial tissue on the ovarian surface.

[0038] In a possible implementation manner 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] Extract the regularity degree of the gland morphology, and based on the regularity degree, identify the ovarian hormones of the ectopic endometrium;

[0041] Analyze the pathological effects of the ovarian hormones on the gland morphology and the stromal structure;

[0042] According to the pathological effects, identify the cyclic bleeding symptoms and inflammatory reactions of the ectopic endometrium;

[0043] Based on the cyclic bleeding symptoms and the inflammatory reactions, identify the tissue structure and pathological changes of the ectopic endometrial tissue.

[0044] In a possible implementation manner of the first aspect, the determining the lesion area of the ectopic transplantation model by combining the growth condition, the tissue structure and the pathological changes includes:

[0045] Identify the ectopic endometrium and the ovarian surface of the ectopic transplantation model;

[0046] Based on the growth condition, analyze the activity degree of the ectopic endometrium on the ovarian surface;

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

[0048] According to the normal ovarian tissue, identify the abnormal factors of the tissue structure;

[0049] Based on the pathological changes, identify the lesion tissues of the ectopic transplantation model, and analyze the distribution range of the lesion tissues;

[0050] Combine the activity degree, the abnormal factors and the distribution range to determine the lesion area of the ectopic transplantation model.

[0051] In a possible implementation manner of the first aspect, the analyzing the pathological features and formation mechanisms of the lesion area by combining the growth condition, the tissue structure and the pathological changes includes:

[0052] Extract the ectopic endometrium of the lesion area;

[0053] According to the growth condition, identify the growth rate of the ectopic endometrium;

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

[0055] Identify the gland morphology and stromal structure of the tissue structure, and analyze the change trend of the gland morphology and the stromal structure;

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

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

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

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

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

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

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

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

[0064] According to the chain reaction, analyze the clinical manifestations of the ectopic transplantation model;

[0065] Based on the clinical manifestations, identify the disease type of the ectopic transplantation model;

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

[0067] According to the characteristic similarity, analyze the simulation effect of the ectopic transplantation model on the human endometriosis.

[0068] In a second aspect, the system for constructing a mouse ovarian endometriosis model provided by the present invention is characterized in that the system includes:

[0069] A transplantation preparation module, configured to obtain a recipient mouse to be experimented and its corresponding syngeneic donor mouse, identify the endometrial tissue of the syngeneic donor mouse and the bilateral ovaries of the recipient mouse, extract tissue masses of the endometrial tissue, and extract the bilateral ovarian surfaces of the bilateral ovaries;

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

[0071] The tissue section analysis module is used to collect microscopic images of the stained sections, identify the ectopic endometrial tissue and ovarian surface of the ectopic transplantation model based on the microscopic images, 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;

[0072] The pathological identification module is used to combine the growth conditions, the tissue structure and the pathological changes to determine the lesion area of the ectopic transplantation model, 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;

[0073] The 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 generate an ovarian endometriosis model of the recipient mouse based on the simulation effect and the ectopic transplantation model.

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

[0075] Embodiments of the present invention obtain recipient mice to be experimented and their corresponding syngeneic donor mice, which helps to simulate the growth and maintenance of ectopic tissues in human endometriosis without being affected by immune rejection, and provides a reliable experimental platform for in-depth understanding of the pathophysiological mechanism of endometriosis; further, embodiments of the present invention construct 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 by real-time monitoring the survival state of the recipient mice at different postoperative stages, possible postoperative complications can be detected early; secondly, embodiments of the present invention collect microscopic images of the stained sections, analyze the growth of the ectopic endometrial tissue on the ovarian surface, identify the tissue structure and pathological changes of the ectopic endometrial tissue, and can intuitively see the fine tissue structure of the ectopic transplantation model, helping to confirm the existence, morphology of the ectopic endometrial tissue and its relationship 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 ovarian surface, thereby providing valuable reference information for the research and treatment of endometriosis; thirdly, 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 analyze the pathological characteristics and formation mechanism of the lesion area. By observing and analyzing the pathological characteristics of the lesion area, the growth and change process of the ectopic endometrial tissue on the ovarian surface can be understood more deeply, thereby revealing the pathological mechanism of the disease. The lesion area refers to the growth site of the ectopic endometrial tissue on the mouse ovarian surface, and the pathological characteristics refer to the morphological, cytological and molecular biological characteristics shown by endometriosis in the mouse ovarian model. Based on the pathological characteristics and the formation mechanism, the correlation degree between the ectopic transplantation model and human endometriosis is analyzed to enhance the in-depth understanding of the pathogenesis of human endometriosis, reveal the root cause of ovarian endometriosis disease, and provide a scientific basis for subsequent treatment; finally, embodiments of the present invention generate an ovarian endometriosis model of the recipient mice based on the simulation effect and the ectopic transplantation model, which can simulate the ectopic endometrial growth environment in the human body, provides an important experimental tool for the research of endometriosis, helps to deeply explore its pathogenesis, pathophysiological process and potential treatment targets. At the same time, by using the allogeneic transplantation method to construct the ectopic transplantation model of the recipient mice, the trauma to the recipient animals is relatively small, which 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 a mouse ovarian endometriosis model proposed by 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 here are incorporated into the specification and constitute a part of this specification, showing embodiments consistent with the present invention and, together with the specification, are used to explain the principles of the present invention.

[0077] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the accompanying drawings required for use in the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0078] Figure 1 It is a schematic flowchart of a method for constructing a mouse ovarian endometriosis model provided by an embodiment of the present invention;

[0079] Figure 2 It is a schematic module diagram of a system for constructing a mouse ovarian endometriosis model provided by an embodiment of the present invention. Detailed implementation manners

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

[0081] The embodiments of the present invention provide a method for constructing a mouse ovarian endometriosis model. The execution subject of the method for constructing a mouse ovarian endometriosis model includes, but is not limited to, at least one of electronic devices such as a server, a terminal, etc. that can be configured to execute the method provided by the embodiments of the present invention. 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 a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, Content Delivery Network (CDN), and big data and artificial intelligence platforms.

[0082] Refer to Figure 1 As shown, it is a schematic flowchart of a method for constructing a mouse ovarian endometriosis model provided by an embodiment of the present invention. Among them, Figure 1 The method for constructing a mouse ovarian endometriosis model described in

[0083] S1. Obtain the recipient mice to be experimented and their corresponding syngeneic donor mice, identify the endometrial tissue of the syngeneic donor mice and the bilateral ovaries of the recipient mice, extract tissue masses of the endometrial tissue, and extract the bilateral ovarian surfaces of the bilateral ovaries.

[0084] In the embodiments of the present invention, by obtaining the recipient mice to be experimented and their corresponding syngeneic donor mice, it helps to simulate the growth and maintenance of ectopic tissues in human endometriosis without being affected by immune rejection. The recipient mice refer to the animal models that receive transplantation surgery, and the syngeneic donor mice refer to the donor mice of the same species as the recipient mice that receive transplantation and are used to provide endometrial tissue for transplantation.

[0085] Furthermore, in the embodiments of the present invention, by identifying the endometrial tissue of the syngeneic donor mice and the bilateral ovaries of the recipient mice, an experimental platform can be provided for deeply understanding the pathophysiological mechanism of endometriosis. The endometrial tissue refers to the endometrial tissue extracted from the uterus of the donor mice, and the bilateral ovaries refer to the two ovaries of the recipient mice, which are located on both sides of the uterus respectively.

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

[0087] In the embodiments of the present invention, by extracting the tissue masses of the endometrial tissue and the bilateral ovarian surfaces of the bilateral ovaries, the cell activity can be improved, the trauma to the recipient animals can be reduced, the probability of successful model establishment can be increased, and at the same time, the experimental results can be avoided from being deviated due to surgical injury to the ovaries. The tissue masses refer to the endometrial tissue extracted from the uterus of the donor mice that is sheared or processed into smaller masses or fragments, and the bilateral ovarian surfaces refer to the parts of the ovaries that directly contact the intraperitoneal environment.

[0088] Exemplarily, the extraction of the tissue masses of the endometrial tissue includes: after euthanizing 9-week-old female mice, anatomizing the whole body to obtain uterine tissue and cleaning the redundant fibrous adipose tissue, washing with phosphate buffer solution (PBS), after shearing the uterus, incubating the endometrial tissue with collagenase solution at 37 °C for 30 min, centrifuging to remove the supernatant, and resuspending with 100 μl of phosphate buffer solution (PBS), and then centrifuging and washing again to remove collagenase. The obtained endometrial tissue is used for transplantation.

[0089] Optionally, the extraction of the bilateral ovarian surfaces 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, construct an ectopic transplantation model of the recipient mouse, and monitor the survival status of the recipient mouse at different postoperative stages in real time. Based on the survival status, collect stained sections of the ectopic transplantation model at different postoperative stages.

[0091] In the embodiment of the present invention, by constructing an ectopic transplantation model of the recipient mouse based on the tissue mass and the bilateral ovarian surfaces, the pathological state of human endometriosis can be simulated, and direct evidence can be provided on how ectopic tissue affects ovarian structure and function. The ectopic transplantation model refers to a model generated in the recipient mouse after transplanting the endometrial tissue of a syngeneic donor mouse 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 constructing of the ectopic transplantation model of the recipient mouse based on the tissue mass and the bilateral ovarian surfaces includes: evenly dividing the tissue mass to obtain an average tissue mass; fixing the average tissue mass on the bilateral ovarian surfaces to obtain an ovary with an attached uterine mass; identifying the abdominal cavity and the ovarian extraction incision of the recipient mouse; based on the ovarian extraction incision, resetting the ovary with an attached uterine mass into the abdominal cavity and suturing the ovarian extraction incision to obtain a reset ovary; and generating the ectopic transplantation model of the recipient mouse based on the reset ovary.

[0093] Among them, the average tissue mass refers to small pieces or masses of endometrial tissue of a donor mouse cut into equal sizes. The ovary with an attached uterine mass refers to a structure formed after fixing the evenly divided endometrial tissue on the bilateral ovarian surfaces of the recipient mouse. The abdominal cavity refers to a body cavity in the mouse. The ovarian extraction incision refers to an incision made on the back skin and muscle of the mouse for extracting and resetting the ovary. The reset ovary refers to the ovary obtained after putting the ovary with an attached endometrial tissue mass back into the abdominal cavity of the recipient mouse.

[0094] Optionally, the abdominal cavity of the recipient mouse can be identified using anatomical localization. The ovarian extraction incision of the recipient mouse can be determined through an incision on the back of the recipient mouse. The suturing of the ovarian extraction incision can be achieved using a Z-shaped suture method.

[0095] Furthermore, by monitoring the survival status of the recipient mice at different post-operative stages in real time, the embodiments of the present invention help to evaluate whether the surgery is successful and whether the transplanted endometrial tissue grows as expected. By observing the behaviors and physiological responses of the mice, possible post-operative complications can be detected early. The different post-operative stages refer to the key time points for evaluating the transplantation effect and the development of ectopic lesions after transplantation surgery, such as 2 weeks after surgery. The survival status refers to the health condition and behavioral responses of the recipient mice after surgery, such as eating habits, pain responses, 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 post-operative stages includes: identifying the post-operative physical reactions and physiological cycles of the recipient mice; determining the monitoring frequency of the recipient mice according to the post-operative physical reactions and the physiological cycles; analyzing the influencing factors of the post-operative physical reactions; extracting the blood analysis report of the recipient mice based on the influencing factors; identifying the inflammation level of the recipient mice according to the blood analysis report; analyzing the complication risk of the recipient mice based on the inflammation level; and combining the monitoring frequency and the complication risk to monitor the survival status of the recipient mice at different post-operative stages in real time.

[0097] Among them, the post-operative physical reactions refer to the physiological and behavioral changes that occur in the mice after surgery, including pain, discomfort, changes in activity, changes in appetite, weight changes, etc. The physiological cycle refers to the estrous cycle of the mice. The monitoring frequency refers to the frequency of health monitoring of the mice. The influencing factors refer to various factors that may affect the post-operative recovery and physiological status of the mice, including surgical procedures, anesthesia, infection risk, environmental changes, etc. The blood analysis report refers to a comprehensive analysis of the blood samples of the mice, including blood cell count, biochemical analysis, coagulation function test, etc. The inflammation level refers to the degree of inflammation in the mice. The complication risk refers to the risk of complications that may occur in the mice after surgery, such as infection, bleeding, organ damage, etc.

[0098] Optionally, the analysis of the post-operative physical reactions of the recipient mice can be determined by physical index examination. The analysis of the influencing factors of the post-operative physical reactions can be achieved by using the multi-factor analysis method. According to the blood analysis report, the identification of the inflammation level of the recipient mice can be evaluated by the inflammation factor level in the blood analysis report.

[0099] In the embodiments of the present invention, by collecting the stained sections of the ectopic transplantation model at different postoperative stages based on the survival status, it is possible to confirm whether the transplanted endometrial tissue forms typical ectopic lesions on the ovary through pathological examination of the stained sections, and observe the morphological changes of the ectopic lesions over time. The stained section refers to a tissue section obtained by processing a thin slice of biological tissue through a specific staining technique.

[0100] As an embodiment of the present invention, the collection of the stained sections of the ectopic transplantation model at different postoperative stages includes: identifying the recipient mouse corresponding to the ectopic transplantation model; extracting the ovarian tissue and related lesion tissue of the recipient mouse at different postoperative stages based on the ectopic transplantation model; performing a fixation treatment on the ovarian tissue and the related lesion tissue to obtain fixed tissue; performing an embedding treatment on the fixed tissue to obtain embedded tissue; extracting tissue sections of the embedded tissue; and performing a histological staining treatment 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 lesion tissue refers to the tissue adjacent to the ovarian tissue or affected by ectopic transplantation, the fixed tissue refers to the ovarian tissue and related lesion tissue treated with a fixative (such as 10% formalin), the embedded tissue refers to a tissue sample obtained by embedding the fixed ovarian tissue and related lesion tissue in a medium, such as a paraffin medium, and the tissue section refers to a sample obtained after the embedded tissue is cut into thin slices.

[0102] Optionally, the extraction of the ovarian tissue and related lesion tissue of the recipient mouse at different postoperative stages based on the ectopic transplantation model can be obtained through dissection surgery, the fixation treatment of the ovarian tissue and the related lesion tissue can be achieved using 10% (w / v) phosphate buffered formalin, and the extraction of tissue sections of the embedded tissue can be obtained through a microtome.

[0103] S3. Collect microscopic images of the stained sections, identify the ectopic endometrial tissue and the ovarian surface of the ectopic transplantation model according to the microscopic images, 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.

[0104] In the embodiments of the present invention, by collecting microscopic images of the stained sections, the fine tissue structure of the ectopic transplantation model can be visually observed, which helps to confirm the existence, morphology of the ectopic endometrial tissue and its relationship with the surrounding tissues. The microscopic image refers to an image observed under a microscope.

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

[0106] Furthermore, in the embodiments of the present invention, by identifying the ectopic endometrial tissue and the ovarian surface of the ectopic transplantation model based on the microscopic image, it can be confirmed whether the model is successfully established to explore the pathogenesis of endometriosis. The ectopic endometrium refers to the endometrial tissue that appears on the mouse ovary, and the ovarian surface refers to the outer structure of the ovary.

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

[0108] In the embodiments of the present invention, by analyzing the growth of the ectopic endometrial tissue on the ovarian surface based on the microscopic image, it can help evaluate the growth degree and activity of the ectopic endometrium, thereby judging the degree of its impact on ovarian function. The growth refers to the state, characteristics of the growth of the ectopic endometrial tissue on the ovarian surface and the possible impact on the ovary and surrounding tissues.

[0109] As an embodiment of the present invention, the analysis of the growth of the ectopic endometrial tissue on the ovarian surface based on the microscopic image includes: identifying the degree of stromal cell hyperplasia of the ectopic endometrial tissue on the ovarian surface according to 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 hyperplasia to obtain a risk assessment result; identifying the surrounding tissues of the ectopic endometrial tissue according to the distribution density; analyzing the adhesion between the ovarian surface and the surrounding tissues based on the risk assessment result; and analyzing the growth of the ectopic endometrial tissue on the ovarian surface by combining the degree of stromal cell hyperplasia, the distribution density and the adhesion.

[0110] Among them, the degree of stromal cell hyperplasia refers to the hyperplasia of stromal cells in the ectopic endometrial tissue, the distribution density refers to the distribution density of the ectopic endometrial tissue on the ovarian surface, the risk assessment result refers to the risk assessment result obtained by performing a risk assessment on the ovarian surface based on the degree of stromal cell hyperplasia, such as pain, infertility, etc., the surrounding tissues refer to the tissues adjacent to the ectopic endometrial tissue, such as peritoneum, ligament, etc., and the adhesion refers to the degree of adhesion between the ectopic endometrial tissue and the ovarian surrounding tissues.

[0111] Optionally, the identification of the degree of stromal cell hyperplasia 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 hyperplasia can be realized by using a risk assessment model.

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

[0113] where p represents the distribution density of the ectopic endometrial tissue on the ovarian surface, represents the number of pixels in the region under the microscopic image, e and f represent the starting row number and starting column number of the microscopic image, m and n represent the total number of rows and total number of columns of the image in the image parameters, represents the average gray value of the region.

[0114] Furthermore, in the embodiment of the present invention, by identifying the tissue structure and pathological changes of the ectopic endometrial tissue, it is possible to further understand the growth pattern, lesion range, tissue structure changes, and possible pathological changes of the ectopic endometrium on the ovarian surface, 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 glands, stroma, blood vessels, etc. of the ectopic endometrium. The pathological features refer to the changes in morphology, structure, and function caused by abnormal location, hormonal influence, or other factors during the growth of the ectopic endometrial tissue, such as glandular hyperplasia, stromal fibrosis, blood vessel hyperplasia, etc.

[0115] 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 stromal structure of the ectopic endometrium; extracting the regularity degree of the glandular morphology, and based on the regularity degree, identifying the ovarian hormones of the ectopic endometrium; analyzing the lesion effects of the ovarian hormones on the glandular morphology and the stromal structure; according to the lesion effects, identifying the cyclic bleeding symptoms and inflammatory responses of the ectopic endometrium; based on the cyclic bleeding symptoms and the inflammatory responses, identifying the tissue structure and pathological changes of the ectopic endometrial tissue.

[0116] Among them, the glandular morphology refers to the appearance and structure of the glands in the ectopic endometrial tissue, the stromal structure refers to the organization and arrangement of endometrial stromal cells, the regularity degree refers to the consistency and normality of the morphology and structure of the glands observed under the microscope, the ovarian hormones refer to the hormones secreted by the ovaries, mainly including estrogen and progesterone, the lesion effects refer to the effects of ovarian hormones on the ectopic endometrial tissue, such as cyclic bleeding and inflammatory responses, the cyclic bleeding symptoms refer to the cyclic bleeding manifestations of the ectopic endometrial tissue with the changes of ovarian hormones, and the inflammatory response refers to the body's response to the ectopic endometrial tissue.

[0117] Optionally, the extraction of the regularity degree of the glandular morphology can be achieved by using an electron microscope. Based on the regularity degree, the ovarian hormone recognition of the ectopic endometrium can be obtained by radioimmunoassay. The analysis of the pathological effects of the ovarian hormones on the glandular morphology and the stromal structure can be achieved by histological examination, such as observing the sections of the ectopic endometrial tissue through a microscope.

[0118] S4. Combine the growth condition, the tissue structure, and the pathological changes to determine the lesion area of the ectopic transplantation model, analyze the pathological features and formation mechanisms of the lesion area, extract the human endometriosis corresponding to the ectopic transplantation model, and based on the pathological features and the formation mechanisms, analyze the correlation degree between the ectopic transplantation model and the human endometriosis.

[0119] In an embodiment of the present invention, by combining the growth condition, the tissue structure, and the pathological changes to determine the lesion area of the ectopic transplantation model and analyze the pathological features and formation mechanisms of the lesion area, the growth and change process of the ectopic endometrial tissue on the ovarian surface can be understood more deeply by observing and analyzing the pathological features of the lesion area, thereby revealing the pathological mechanism of the disease. The lesion area refers to the growth site of the ectopic endometrial tissue on the mouse ovarian surface. The pathological features refer to the morphological, cytological, and molecular biological features and other aspects shown by endometriosis in the mouse ovarian model. The formation mechanism refers to the cause and process of endometriosis occurring in the mouse ovarian model.

[0120] As an embodiment of the present invention, the combination of the growth condition, the tissue structure, and the pathological changes to determine the lesion area of the ectopic transplantation model includes: identifying the ectopic endometrium and the ovarian surface of the ectopic transplantation model; analyzing the activity degree of the ectopic endometrium on the ovarian surface based on the growth condition; scheduling the normal ovarian tissue corresponding to the ectopic transplantation model according to the tissue structure; identifying the abnormal factors of the tissue structure according to the normal ovarian tissue; identifying the lesion tissue of the ectopic transplantation model based on the pathological changes and analyzing the distribution range of the lesion tissue; and combining the activity degree, the abnormal factors, and the distribution range to determine the lesion area of the ectopic transplantation model.

[0121] Among them, the activity degree refers to the response degree of the ectopic endometrium to ovarian hormones. The normal ovarian tissue refers to the ovarian tissue not affected by the ectopic endometrium. The abnormal factors refer to the significant deviations or changes in the morphology, arrangement, distribution, or function of the ovarian tissue compared with the normal situation. The lesion tissue refers to the ovarian tissue affected by the ectopic endometrium and the surrounding lesion tissue. The distribution range refers to the diffusion degree of the ectopic endometrial tissue on the ovarian surface.

[0122] Optionally, based on the growth condition, the analysis of the activity degree of the ectopic endometrium on the surface of the ovary can be obtained through hormone level measurement. Based on the normal ovarian tissue, the identification of abnormal factors of the tissue structure can be achieved by gene expression analysis. Based on the pathological changes, the analysis of the distribution range of the diseased tissue can be obtained through imaging examination.

[0123] As an embodiment of the present invention, combining the growth condition, the tissue structure and the pathological changes to analyze the pathological characteristics and formation mechanism of the diseased area includes: extracting the ectopic endometrium in the diseased area; identifying the growth rate of the ectopic endometrium according to the growth condition; analyzing the invasion degree of the diseased area based on the growth rate; identifying the glandular morphology and stromal structure of the tissue structure and analyzing the change trend of the glandular morphology and the stromal structure; identifying the diseased type of the diseased area according to the change trend; analyzing the risk effect of the diseased area based on the pathological changes; analyzing the pathological characteristics of the diseased area according to the invasion degree of the disease, the diseased type and the risk effect; and analyzing the formation mechanism of the diseased area based on the pathological characteristics.

[0124] Among them, the growth rate refers to the growth rate of the ectopic endometrium on the surface of the ovary. The invasion degree of the disease refers to the invasion and influence degree of the diseased area of the ectopic endometrium on the surrounding tissues. The change trend refers to the regular characteristics formed by the glandular morphology and stromal structure changing with time, such as glandular hyperplasia. The diseased type refers to identifying the type of the disease according to the change trend of the glandular morphology and stromal structure, such as hyperplastic type, secretory type, etc. The risk effect refers to the complication risk that the diseased area may bring, such as pain, infertility, etc.

[0125] Optionally, the identification of the growth rate of the ectopic endometrium can be obtained through MRI examination according to the growth condition. The analysis of the invasion degree of the diseased area based on the growth rate can be achieved by protein analysis method. The analysis of the change trend of the glandular morphology and the stromal structure can be obtained through an optical microscope.

[0126] Furthermore, by extracting the human endometriosis corresponding to the ectopic transplantation model in the embodiment of the present invention, the accuracy and reliability of the ectopic transplantation model can be evaluated through the comparison of pathological characteristics. The human endometriosis refers to the symptom that the endometrial tissue grows and spreads in the body parts outside the uterus.

[0127] Optionally, the extraction of the human endometriosis corresponding to the ectopic transplantation model can be obtained through color Doppler ultrasound examination.

[0128] In the embodiments of the present invention, by analyzing the degree of association between the ectopic transplantation model and human endometriosis based on the pathological features and the formation mechanism, it is possible to enhance the in-depth understanding of the pathogenesis of human endometriosis, contribute to revealing the root cause of ovarian endometriosis, and provide a scientific basis for subsequent treatment. The degree of association refers to the strength of the correlation or connection between two or more factors, such as the degree of association between the pathological features of the ectopic transplantation model and the pathological features of human endometriosis.

[0129] Optionally, the analysis of the degree of association between the ectopic transplantation model and human endometriosis based on the pathological features and the formation mechanism can be achieved by using the correlation analysis method.

[0130] S5. According to the degree of association, analyze the simulation effect of the ectopic transplantation model on human endometriosis, and based on the simulation effect and the ectopic transplantation model, generate an ovarian endometriosis model of the recipient mouse.

[0131] In the embodiments of the present invention, by analyzing the simulation effect of the ectopic transplantation model on human endometriosis according to the degree of association, the molding process of the ectopic transplantation model can be precisely regulated, ensuring the reliability and accuracy of the model construction results. At the same time, it can improve the similarity between the ectopic transplantation model and human endometriosis, helping to deeply study the pathological mechanism and treatment methods of endometriosis. The simulation effect refers to the effect of the ectopic transplantation model on the model of human endometriosis.

[0132] As an embodiment of the present invention, the analysis of the simulation effect of the ectopic transplantation model on human endometriosis according to the degree of association includes: extracting the ectopic endometrial tissue and adjacent tissues of the ectopic transplantation model; analyzing the development 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 to the adjacent tissues based on the development 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 human endometriosis; and analyzing the simulation effect of the ectopic transplantation model on human endometriosis according to the feature similarity.

[0133] 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 manifestation refers to the clinical symptoms similar to human endometriosis that appear in the ectopic transplantation model, the disease type refers to the disease type identified according to the pathological characteristics and clinical manifestations in the model, and the feature similarity refers to the degree of similarity in features between the ectopic transplantation model and human endometriosis.

[0134] Optionally, the analysis of the development process of the ectopic endometrial tissue in the ectopic transplantation model according to the degree of association can be obtained through regular histological examinations. The identification of the chain reaction of the ectopic endometrial tissue to the adjacent tissue based on the development process can be achieved by using molecular biological analysis methods. The analysis of the clinical manifestations of the ectopic transplantation model according to the chain reaction can be determined through animal behavior tests. The identification of the disease type of the ectopic transplantation model based on the clinical manifestations can be determined through comprehensive pathological and clinical symptom analysis.

[0135] In an optional embodiment of the present invention, the following formula is used to calculate the feature similarity between the disease type and human endometriosis:

[0136] Among them, represents the feature similarity between the disease type and human endometriosis, represents the feature index corresponding to the disease type and human endometriosis, represents the number of features corresponding to the disease type and human endometriosis, represents the feature corresponding to the disease type and human endometriosis of the weight coefficient, represents the feature vector corresponding to the disease type and human endometriosis of the th element, represents the feature vector of the mean value, represents the feature vector corresponding to the disease type and human endometriosis of the th element, represents the feature vector of the mean value.

[0137] Furthermore, the embodiment of the present invention generates an ovarian endometriosis model of the recipient mouse based on the simulation effect and the ectopic transplantation model, which can simulate the growth environment of ectopic endometrium in the human body, provides an important experimental tool for the research of endometriosis, helps to deeply explore its pathogenesis, pathophysiological process and potential therapeutic targets. At the same time, by using the allogeneic transplantation method to construct the ectopic transplantation model of the recipient mouse, the trauma to the recipient animal is relatively small, which 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 that simulates the pathophysiological process of ovarian endometriosis by implanting allogeneic endometrial tissue on the surface of the ovary of the recipient mouse through the ectopic transplantation method, such as an artificially induced ovarian endometriosis model.

[0138] It can be seen that in the embodiments of the present invention, by obtaining recipient mice to be experimented and their corresponding syngeneic donor mice, it helps to simulate the growth and maintenance of ectopic tissues in human endometriosis, without being affected by immune rejection, and provides a reliable experimental platform for deeply understanding the pathophysiological mechanism of endometriosis; further, in 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, it can simulate the pathological state of human endometriosis, and by real-time monitoring the survival state of the recipient mice at different stages after surgery, possible postoperative complications can be detected early; secondly, in the embodiments of the present invention, by collecting microscopic images of the stained sections and analyzing the growth of the ectopic endometrial tissue on the ovarian surface, identifying the tissue structure and pathological changes of the ectopic endometrial tissue, the fine tissue structure of the ectopic transplantation model can be visually seen, helping to confirm the existence, morphology of the ectopic endometrial tissue and its relationship 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 ovarian surface, thereby providing valuable reference information for the research and treatment of endometriosis; thirdly, in the embodiments of the present invention, by combining the growth conditions, the tissue structure and the pathological changes, determining the lesion area of the ectopic transplantation model, and analyzing the pathological characteristics and formation mechanism of the lesion area, by observing and analyzing the pathological characteristics of the lesion area, the growth and change process of the ectopic endometrial tissue on the ovarian surface can be more deeply understood, thereby revealing the pathological mechanism of the disease. The lesion area refers to the growth site of the ectopic endometrial tissue on the mouse ovarian surface, and the pathological characteristics refer to the morphological, cytological and molecular biological characteristics shown by endometriosis in the mouse ovarian model. And based on the pathological characteristics and the formation mechanism, analyzing the correlation degree between the ectopic transplantation model and human endometriosis, so as to enhance the in-depth understanding of the pathogenesis of human endometriosis, reveal the root cause of ovarian endometriosis disease, and provide a scientific basis for subsequent treatment; finally, in the embodiments of the present invention, by generating an ovarian endometriosis model of the recipient mice based on the simulation effect and the ectopic transplantation model, it can simulate the ectopic endometrial growth environment in the human body, provides an important experimental tool for the research of endometriosis, helps to deeply explore its pathogenesis, pathophysiological process and potential therapeutic targets. At the same time, by constructing an ectopic transplantation model of the recipient mice by allogeneic transplantation method, the trauma to the recipient animals is relatively small, which 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 a mouse ovarian endometriosis model proposed by the present invention can improve the modeling rate of the endometriosis model and the accuracy of the research results.

[0139] Such asFigure 2 As shown, it is a system functional module diagram for constructing a mouse ovarian endometriosis model according to the present invention.

[0140] The system 200 for constructing a mouse ovarian endometriosis model according to the present invention can be installed in an electronic device. According to the functions achieved, the system for constructing a mouse ovarian endometriosis model may include a transplantation preparation module 201, an ectopic transplantation module 202, a tissue section analysis module 203, a pathological identification module 204, and a model generation module 205. The modules in the present invention can also be referred to as units, which refer to a series of computer program segments that can be executed by the processor of an electronic device and can complete fixed functions, and are stored in the memory of the electronic device.

[0141] In the embodiments of the present invention, the functions of each module / unit are as follows:

[0142] The transplantation preparation module 201 is used to obtain recipient mice to be experimented and their corresponding syngeneic donor mice, identify the endometrial tissue of the syngeneic donor mice and the bilateral ovaries of the recipient mice, extract tissue masses of the endometrial tissue, and extract the bilateral ovarian surfaces of the bilateral ovaries.

[0143] The ectopic transplantation module 202 is used to construct an ectopic transplantation model of the recipient mice based on the tissue masses and the bilateral ovarian surfaces, monitor the survival status of the recipient mice at different postoperative stages in real time, and collect stained sections of the ectopic transplantation model at different postoperative stages based on the survival status.

[0144] The tissue section analysis module 203 is used to collect microscopic images of the stained sections, identify the ectopic endometrial tissue and ovarian surfaces of the ectopic transplantation model according to the microscopic images, analyze the growth of the ectopic endometrial tissue on the ovarian surfaces, and identify the tissue structure and pathological changes of the ectopic endometrial tissue.

[0145] The pathological identification module 204 is used to determine the lesion area of the ectopic transplantation model in combination with the growth situation, the tissue structure and the pathological changes, analyze the pathological characteristics and formation mechanisms 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 mechanisms.

[0146] 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 an ovarian endometriosis model of the recipient mice based on the simulation effect and the ectopic transplantation model.

[0147] Specifically, when the modules in the system 200 for constructing a mouse ovarian endometriosis model in the embodiments of the present invention are used, the same technical means as those in the Figure 1 method for constructing a mouse ovarian endometriosis model described above are adopted, and the same technical effects can be achieved, which will not be elaborated here.

[0148] In addition, in each embodiment of the present invention, the functional modules can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware, or in the form of a hardware plus software functional module.

[0149] The above are only specific embodiments of the present invention, enabling those skilled in the art to understand or implement the present invention. Various modifications to these embodiments will be obvious to those skilled in the art, and the general principles defined herein can 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 these embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed 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 simulation 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 tissues; 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 generate the ovarian endometriosis model of the recipient mouse based on the simulation effect and the ectopic transplantation model.

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