MiRNA marker and kit related to malignant transformation of colitis and proctitis

Abstract

The invention relates to the technical field of biology, in particular to a kit related to colitis and proctitis malignant transformation, which comprises an intelligent system and a top cover, a semiconductor chilling plate is arranged at the bottom of the top cover, and a cooling fin is arranged at the top of the top cover; one side of the top cover is rotationally connected with a box body; a plurality of partition plates are fixedly connected into the box body and divide the interior of the box body into a plurality of containing cavities, and fixing assemblies are arranged on the side walls of the containing cavities. The miRNA marker related to the malignant transformation of colitis and proctitis comprises a miRNA marker body, and the miRNA marker body is one or more of miR-138-5p, miR-145-5p, miR-146a-5p, miR-150-5p, miR-146a, miR-27a, miR-29a, miR-20a and miR-21. The miRNA marker can be used for detecting the malignant transformation of colitis and proctitis. A detection agent is fixed through an elastic stretching plate and a magnet, so that the possibility that the detection agent is damaged is reduced; the interior of the kit is cooled through a semiconductor chilling plate, so that a detection agent and a detection plate can be stored for a long time; high-throughput detection of the miRNA marker is realized through the detection plate, and the detection efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the field of biotechnology, and in particular to a miRNA marker and a kit associated with malignant transformation of colorectal inflammation. Background Art

[0002] Colitis and Crohn's disease in the colorectal region are a class of inflammatory diseases involving the colon and rectal regions. These diseases mainly include ulcerative colitis (UC) and Crohn's disease (CD). These inflammatory bowel diseases (IBD) are characterized by recurrent intestinal inflammation, which may lead to serious health problems, including but not limited to abdominal pain, diarrhea, blood in the stool, and long-term inflammation may also increase the risk of colorectal cancer.

[0003] Long-term colorectal inflammation (such as ulcerative colitis or Crohn's disease) may lead to malignant transformation of the inflammatory site and eventually evolve into colorectal cancer (CRC). In this process, miRNA (micro RNA) is an important regulatory factor, and changes in its expression level are believed to be closely related to the development of inflammation and tumors.

[0004] Some existing test kits related to the malignant transformation of colorectal inflammation are based on traditional PCR technology or single-gene detection technology, which can usually only detect a few specific genes or mutation sites. They cannot meet the clinical needs for simultaneous detection of multiple genes and multiple mutation sites, thereby affecting the detection efficiency.

[0005] In summary, some existing test kits related to the malignant transformation of colorectal inflammation are based on traditional PCR technology or single gene detection technology, which cannot achieve high-throughput detection, thereby affecting the detection efficiency and has become a difficult problem that needs to be solved urgently in this field. Therefore, it is necessary to propose a miRNA marker and test kit related to the malignant transformation of colorectal inflammation. Summary of the invention

[0006] To solve the above problems, the present invention provides a miRNA marker and a kit related to the malignant transformation of colorectal inflammation, wherein the detection agent is fixed by an elastic stretching plate and a magnet to reduce the possibility of the detection agent being damaged; the interior of the kit is cooled by a semiconductor refrigeration sheet to achieve long-term preservation of the detection agent and the detection plate; and high-throughput detection of miRNA markers is achieved through the detection plate to improve detection efficiency.

[0007] In order to achieve the above-mentioned purpose, the technical solution of the present invention is as follows: a test kit related to the malignant transformation of colorectal inflammation, comprising an intelligent system and a top cover, a semiconductor refrigeration plate is fixedly connected to the bottom of the top cover, a heat sink is fixedly connected to the top of the top cover, the semiconductor refrigeration plate is electrically connected to a controller, and the controller is used to control the operation of the semiconductor refrigeration plate; a box body is rotatably connected to one side of the top cover.

[0008] A plurality of partitions are fixedly connected inside the box body, and the plurality of partitions divide the inside of the box body into a plurality of placement cavities, each of which is filled with a detection agent, and the side walls of the placement cavities are provided with a fixing component for fixing the detection agent.

[0009] The technical principles of the above scheme are as follows:

[0010] The operator opens the top cover, takes out the detection agent fixed by the fixing component from the placement cavity, and tests the miRNA marker according to the predetermined detection steps.

[0011] After the inspection is completed, the operator puts the detection agent back into the placement cavity, re-fixes the detection agent through the fixing component, and closes the top cover.

[0012] The operator operates the controller to start the semiconductor refrigeration chip to cool down the inside of the test kit. Since the semiconductor refrigeration chip will generate corresponding heat while cooling, and the heat sink has a good heat dissipation function, when the semiconductor refrigeration chip generates heat during the cooling process, the heat sink can dissipate the heat in time.

[0013] The above scheme has the following beneficial effects:

[0014] 1. This solution fixes the detection agent by fixing the components, which reduces the shaking amplitude of the detection agent when it is subjected to external force in the box body, thereby reducing the possibility of damage to the detection agent; the interior of the test kit is cooled by a semiconductor refrigeration sheet, providing good temperature conditions for the long-term preservation of the detection agent; the heat generated by the semiconductor refrigeration sheet is dissipated in time by the heat sink, further reducing the impact of temperature on the detection agent in the test kit.

[0015] 2. In this solution, the design of the partition and the fixed component effectively prevents cross contamination and physical damage between the detection agents, thereby further extending the service life of the detection agents.

[0016] 3. In this solution, the box body is connected to the top cover by a rotational connection, which makes the test kit easy to open and close. At the same time, the design of the top cover effectively protects the detection agent inside the test kit and reduces the possibility of the detection agent being contaminated by the outside world.

[0017] Furthermore, the fixing component includes an elastic stretching plate symmetrically arranged on the side wall of the placement cavity, one end of the elastic stretching plate is fixedly connected to the side wall of the placement cavity; sliding grooves are symmetrically opened on the side wall of the placement cavity, both sides of the elastic stretching plate extend into the sliding grooves and slide in cooperation with the sliding grooves; a plurality of stretching blocks are fixedly connected to the top of the elastic stretching plate.

[0018] Beneficial effects: Since the elastic stretching plate is elastic, it can be stretched or contracted to a certain extent according to the actual size of the detection agent placed in the cavity, so that the fixed component can adapt to detection agents of different sizes and shapes, thereby improving the versatility and flexibility of the test kit. At the same time, when the test kit is subjected to external impact or vibration, the elastic stretching plate can absorb part of the energy and convert it into its own elastic potential energy, thereby reducing the direct impact on the detection agent. This buffering effect helps to protect the detection agent from physical damage, thereby ensuring its integrity and effectiveness before use.

[0019] Furthermore, the elastic stretching plates in the same placement cavity are fixedly connected with a plurality of magnets at one end close to each other, and the magnets on different elastic stretching plates attract each other.

[0020] Beneficial effect: The mutual attraction of the magnets enables the adjacent elastic stretching plates to form a tighter connection at the ends close to each other. This design not only enhances the stability of the detection agent in the placement cavity, but also reduces the risk of displacement or dumping of the detection agent due to external factors.

[0021] Furthermore, a detection plate is placed in the placement cavity, and a plurality of detection holes are opened on the surface of the detection plate, and a plurality of specific primers are filled in the detection holes.

[0022] Beneficial effects: The design of opening multiple detection holes on the detection plate enables the detection of multiple samples at the same time. This multi-channel detection capability improves detection efficiency while reducing detection time and detection costs.

[0023] Furthermore, an upper buckle is fixedly connected to one side of the top cover, and a lower buckle engaged with the upper buckle is fixedly connected to the side wall of the box body.

[0024] Beneficial effect: The buckle design makes the connection between the top cover and the box body tighter, thereby effectively preventing the entry of impurities such as external air, dust or moisture, and further protecting the detection agent and detection board inside the test kit.

[0025] Furthermore, the top cover and the surface of the box body are coated with black paint.

[0026] Beneficial effect: Since the detection agent in the test kit is sensitive to light sources, applying black paint on the top cover and the surface of the box body can effectively absorb light, thereby reducing the interference of external light sources on the detection agent inside the test kit.

[0027] Furthermore, the intelligent system includes the following modules:

[0028] The data collection module is used to collect case information related to colorectal inflammation and its malignant transformation based on the Internet big model.

[0029] The model building module is used to organize the collected case information, screen miRNAs related to colorectal inflammation and its malignant transformation through bioinformatics methods, and build a prediction model.

[0030] The intelligent analysis module is used to analyze the samples provided by patients based on the Internet big model and prediction model, and obtain corresponding analysis results.

[0031] The condition prediction module is used to predict the patient's condition based on the analysis results.

[0032] Beneficial effects: The data collection module collects case information related to colorectal inflammation and its malignant transformation through the Internet big model, and sends the case information to the model building module. After receiving the case information, the model building module organizes the case information, screens miRNA related to colorectal inflammation and its malignant transformation through bioinformatics methods, and constructs a prediction model based on the screened data.

[0033] After the prediction model is built, the intelligent analysis module analyzes the samples provided by the patient based on the Internet big model and the prediction model, and obtains the analysis results. Finally, the condition analysis module compares the analysis results with the data in the prediction model.

[0034] When the patient's sample data features exist in the prediction model, the disease prediction module uses the data in the prediction model as a basis to make corresponding suggestions for the patient's possible disease conditions at this time; when the patient's sample data features do not exist in the prediction model, the prediction module sends feedback information to the controller, which stores the information and simultaneously sends the information to the medical staff terminal, who then judge the current patient's condition. After the medical staff completes the judgment, the controller stores the judgment result in the prediction model.

[0035] Further, the method for making specific primers is as follows:

[0036] Step 1: Obtain the miRNA sequence: determine the specific name of the miRNA and search for the mature sequence of the miRNA through the Internet big model.

[0037] Step 2: Design primers: Use primer design software to design specific primers for the miRNA and come up with a design plan.

[0038] Step 3, synthesizing primers: Based on the design plan, synthesize specific primers by tailing method.

[0039] Beneficial effect: The operator first determines the specific name of the miRNA, and searches for the mature sequence of the miRNA through the Internet big model. After the search is completed, the operator designs a scheme for the specificity of the miRNA through the primer design software, obtains a specific design scheme, and finally synthesizes the specific primer by the tailing method based on the design scheme to complete the production of the specific primer.

[0040] Furthermore, a miRNA marker associated with malignant transformation of colorectal inflammation includes a miRNA marker entity, wherein the miRNA marker entity is one or more of miR-138-5p, miR-145-5p, miR-146a-5p, miR-150-5p, miR-146a, miR-27a, miR-29a, miR-20a and miR-21.

[0041] Beneficial effects: These miRNA markers can show significant changes in the early stages of malignant transformation of colorectal inflammation to colorectal cancer, so they can be used for early screening, thereby improving the success rate of treatment and patient survival. At the same time, by monitoring the dynamic changes of these miRNAs, medical staff can evaluate the treatment effect and disease progression, providing a corresponding basis for personalized treatment of patients.

[0042] Further, the detection method of the miRNA marker ontology is as follows:

[0043] S1. Sample processing: The patient's blood is used as a sample, the sample is centrifuged, the supernatant is taken, and the total RNA in the patient's blood is extracted from it, and the miRNA in the total RNA is labeled with a fluorophore.

[0044] S2, sample binding: the labeled sample is combined with the specific primer in the detection well.

[0045] S3, signal detection: Use a fluorescence scanner to detect the detection plate and obtain the hybridization signal.

[0046] S4, data analysis: The controller performs data analysis on the hybridization signal based on the prediction model, obtains the miRNA expression spectrum in the hybridization signal, and compares the miRNA expression spectrum in the hybridization signal with the miRNA expression spectrum in the prediction model to obtain the analysis result, and sends the analysis result to the patient terminal in the form of a text message.

[0047] Beneficial effects: The operator first takes out the patient's blood sample and puts it into a centrifuge for centrifugation. After the centrifugation is completed, the operator takes out the supernatant and extracts the total RNA in the patient's blood from it, and uses a fluorophore to label the miRNA therein to complete the sample processing operation.

[0048] After processing the sample, the operator drops the sample into the detection well on the detection plate to allow the sample to combine with the specific primer in the detection well.

[0049] After the sample and specific primers are combined, the operator uses a fluorescent scanner to detect the test plate to obtain a hybridization signal, which will be sent to the controller synchronously. The controller will perform data analysis on the hybridization signal based on the prediction model to obtain the expression spectrum of miRNA in the hybridization signal. At this time, the controller will compare the miRNA expression spectrum in the hybridization signal with the miRNA expression spectrum in the prediction model to obtain the analysis results. Finally, the controller will send the analysis results to the patient terminal in the form of a text message for the patient to view.

[0050] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 This is an axonometric schematic diagram of the kit when it is opened in the embodiment of the miRNA marker and kit associated with the malignant transformation of colorectal inflammation of the present invention.

[0052] Figure 2 This is an axonometric schematic diagram of the kit when it is closed in the embodiment of the miRNA marker and kit associated with the malignant transformation of colorectal inflammation of the present invention.

[0053] Figure 3 for Figure 1 Enlarged view of part A.

[0054] Figure 4 This is a schematic diagram of the structure of the intelligent system in the miRNA markers and kit embodiments related to the malignant transformation of colorectal inflammation of the present invention.

[0055] Figure 5 The figure is a flow chart of a method for preparing specific primers in the miRNA markers and kit embodiments related to malignant transformation of colorectal inflammation of the present invention.

[0056] Figure 6 This is a schematic flow chart of a method for detecting miRNA entities in the miRNA marker and kit embodiments related to malignant transformation of colorectal inflammation of the present invention.

[0057] The figure marks in the drawings of the specification include: 1, top cover; 2, semiconductor cooling plate; 3, heat sink; 4, box body; 5, partition; 6, elastic stretching plate; 7, stretching block; 8, magnet. DETAILED DESCRIPTION

[0058] The following is further described in detail through specific implementation methods:

[0059] Embodiment 1:

[0060] As attached Figure 1 , Figure 2 and Figure 3 As shown: a test kit related to the malignant transformation of colorectal inflammation, including an intelligent system and a top cover 1, a semiconductor refrigeration sheet 2 is fixedly connected to the bottom of the top cover 1 by bolts, a heat sink 3 is fixedly connected to the top of the top cover 1 by bolts, the semiconductor refrigeration sheet 2 is electrically connected to a controller, and the controller is used to control the operation of the semiconductor refrigeration sheet 2; a box body 4 is hinged on one side of the top cover 1.

[0061] A number of partitions 5 are welded inside the box body 4, and the partitions 5 divide the inside of the box body 4 into a number of placement cavities, in which detection agents and detection plates are placed, and a number of detection holes are opened on the surface of the detection plates, and a number of specific primers are filled in the detection holes, and the side walls of the placement cavities are provided with fixing components for fixing the detection agents.

[0062] The fixing assembly includes an elastic stretching plate 6 symmetrically arranged on the side wall of the placement cavity, and one end of the elastic stretching plate 6 is welded to the side wall of the placement cavity; symmetrical sliding grooves are opened on the side wall of the placement cavity, and both sides of the elastic stretching plate 6 extend into the sliding grooves and slide in cooperation with the sliding grooves; a plurality of stretching blocks 7 are integrally formed on the top of the elastic stretching plate 6, and a plurality of magnets 8 are embedded and installed at one end close to each other of the elastic stretching plates 6 in the same placement cavity, and the magnets 8 on different elastic stretching plates 6 attract each other.

[0063] The specific implementation process is as follows: the operator opens the top cover 1 hinged to one side of the box body 4, moves the stretching block 7 on the top of the elastic stretching plate 6 to separate the magnets 8 from each other, releases the fixation of the elastic stretching plate 6 on the detection agent, and takes out the detection agent and the detection plate from the placement cavity to perform the detection operation.

[0064] After the detection operation is completed, the operator puts the detection agent and the unused detection plate back into the placement cavity, and moves the stretching block 7 again to make the elastic stretching plate 6 slide in the slide groove to clamp the detection agent, and fixes the two elastic stretching plates 6 through the attraction between the magnets 8, thereby fixing the detection agent.

[0065] The operator covers the top cover 1 and starts the semiconductor cooling sheet 2 through the controller to cool the inside of the test kit and create a good temperature condition for the storage of the test agent and the test plate. Since the semiconductor generates corresponding heat while cooling, the heat sink 3 will dissipate the heat generated by the semiconductor cooling sheet 2, thereby enhancing the cooling efficiency of the semiconductor cooling sheet 2.

[0066] Embodiment 2:

[0067] As attached Figure 1 and Figure 2 As shown, the difference from Example 1 is that an upper buckle is fixedly connected to one side of the top cover 1 by bolts, and a lower buckle engaged with the upper buckle is fixedly connected to the side wall of the box body 4 by bolts.

[0068] The specific implementation process is as follows: The buckle design greatly reduces the possibility of external impurities entering the test kit when the test kit is closed and causing contamination of the test agent, thereby fully protecting the test agent.

[0069] Embodiment 3:

[0070] As attached Figure 1 and Figure 2 As shown, the difference from Example 2 is that the surfaces of the top cover 1 and the box body 4 are both coated with black paint.

[0071] The specific implementation process is as follows: Since light can affect the preservation of the detection agent, the design of coating the top cover 1 and the surface of the box body 4 with black paint can effectively reduce the impact of light on the detection agent, thereby extending the service life of the detection agent.

[0072] Embodiment 4:

[0073] As attached Figure 4 As shown, the difference from Example 3 is that the intelligent system includes the following modules:

[0074] The data collection module is used to collect case information related to colorectal inflammation and its malignant transformation based on the Internet big model.

[0075] The model building module is used to organize the collected case information, screen miRNAs related to colorectal inflammation and its malignant transformation through bioinformatics methods, and build a prediction model.

[0076] The intelligent analysis module is used to analyze the samples provided by patients based on the Internet big model and prediction model, and obtain corresponding analysis results.

[0077] The condition prediction module is used to predict the patient's condition based on the analysis results.

[0078] The specific implementation process is as follows: the data acquisition module first collects case information related to colorectal inflammation and its malignant transformation based on the Internet big model. While the data acquisition module collects case information, the model building module organizes the collected case information and screens miRNA related to colorectal inflammation and its malignant transformation through bioinformatics methods to construct a prediction model.

[0079] After the prediction model is built, the intelligent analysis module will analyze the patient samples based on the Internet big model and the prediction model and obtain the corresponding analysis results. When the prediction model contains the patient's sample feature information, the intelligent analysis module retrieves the relevant data from the prediction model and analyzes the patient's samples in combination with the Internet big model; when the prediction model does not contain the patient's sample feature information, the intelligent analysis module will perform a preliminary analysis of the patient's samples based on the Internet big model, and send the preliminary analysis results and the patient's sample feature information to the medical staff terminal, and the medical staff will make relevant judgments. The judgment results will be fed back to the intelligent analysis module, and the intelligent analysis module will use the judgment results of the medical staff as the analysis results. Finally, the condition prediction module will predict the patient's condition based on the analysis results.

[0080] When the medical staff completes the judgment, the patient's sample characteristic information and the medical staff's judgment results will be stored in the prediction model.

[0081] Embodiment 5:

[0082] As attached Figure 5 As shown, the difference from Example 4 is that the method for making specific primers is as follows:

[0083] Step 1: Obtain the miRNA sequence: determine the specific name of the miRNA and search for the mature sequence of the miRNA through the Internet big model.

[0084] Step 2: Design primers: Use primer design software to design specific primers for the miRNA and come up with a design plan.

[0085] Step 3, synthesizing primers: Based on the design plan, synthesize specific primers by tailing method.

[0086] The specific implementation process is as follows: the operator first obtains the specific name of the miRNA to be detected, and queries the mature body sequence of the miRNA through the Internet big data. After querying the ex vivo sequence of the miRNA, the operator designs the specific primer of the miRNA through the primer design software. In this embodiment, the primer design software uses Primer3 to obtain a design scheme. Finally, the operator uses the tailing method to synthesize the specific primer based on the designed design scheme. In this embodiment, gold nanoparticles are added when designing the primers, and after the primers are fixed to the detection plate, the detection plate is processed by surface enhanced Raman scattering technology, which improves the sensitivity and accuracy of the detection results.

[0087] Embodiment 6:

[0088] As attached Figure 6 As shown, the difference from Example 5 is that a miRNA marker associated with malignant transformation of colorectal inflammation includes a miRNA marker ontology, and the miRNA marker ontology is one or more of miR-138-5p, miR-145-5p, miR-146a-5p, miR-150-5p, miR-146a, miR-27a, miR-29a, miR-20a and miR-21. In this embodiment, the selection of the miRNA marker ontology is miR-138-5p, miR-145-5p, miR-146a-5p, miR-20a and miR-21.

[0089] The detection method of miRNA marker ontology is as follows:

[0090] S1. Sample processing: The patient's blood is used as a sample, the sample is centrifuged, the supernatant is taken, and the total RNA in the patient's blood is extracted from it, and the miRNA in the total RNA is labeled with a fluorophore.

[0091] S2, sample binding: the labeled sample is combined with the specific primer in the detection well.

[0092] S3, signal detection: Use a fluorescence scanner to detect the detection plate and obtain the hybridization signal.

[0093] S4, data analysis: The controller performs data analysis on the hybridization signal based on the prediction model, obtains the miRNA expression spectrum in the hybridization signal, and compares the miRNA expression spectrum in the hybridization signal with the miRNA expression spectrum in the prediction model to obtain the analysis result, and sends the analysis result to the patient terminal in the form of a text message.

[0094] The specific implementation process is as follows: the operator first collects the patient's blood as a sample and puts the sample into a centrifuge for centrifugation. After the centrifugation operation is completed, the operator takes out the supernatant from the sample, extracts the total RNA from the patient's blood, and uses a fluorophore to label the miRNA in the total RNA to complete the sample processing operation.

[0095] The operator drops the processed sample into the detection hole on the detection plate to allow the sample to bind with the specific primer. After the binding is completed, the operator uses a fluorescent scanner to detect the detection plate to obtain a hybridization signal.

[0096] The controller performs data analysis on the hybridization signal based on the prediction model, obtains the miRNA expression spectrum in the hybridization signal, and compares the obtained miRNA expression spectrum in the hybridization signal with the miRNA expression spectrum in the prediction model to obtain an analysis result.

[0097] When the miRNA expression spectrum in the hybridization signal is included in the miRNA expression spectrum recorded by the prediction model, the controller retrieves the relevant information of the corresponding miRNA expression spectrum in the prediction model as the analysis result; when the miRNA expression spectrum in the hybridization signal is not included in the miRNA expression spectrum recorded by the prediction model, the controller records the miRNA expression spectrum and sends the relevant records of the miRNA expression spectrum to the medical staff terminal, and the medical staff analyzes the current situation. After the medical staff obtains the analysis results, the prediction model stores the relevant information and analysis results of the miRNA expression spectrum.

[0098] When the analysis of the miRNA expression profile in the patient's blood is completed and the analysis results are obtained, the controller will send the analysis results to the patient's terminal for the patient to view and refer to.

[0099] Obviously, the above embodiments are merely examples for the purpose of clear explanation, and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived therefrom are still within the scope of protection of the invention.

Claims

1. A kit related to malignant transformation of colorectal inflammation, characterized in that: It comprises an intelligent system and a top cover (1); the bottom of the top cover (1) is fixedly connected to a semiconductor cooling sheet (2); the top of the top cover (1) is fixedly connected to a heat sink (3); the semiconductor cooling sheet (2) is electrically connected to a controller, and the controller is used to control the operation of the semiconductor cooling sheet (2); one side of the top cover (1) is rotatably connected to a box body (4); A plurality of partitions (5) are fixedly connected to the interior of the box body (4), and the plurality of partitions (5) divide the interior of the box body (4) into a plurality of placement cavities, each of which contains a detection agent, and the side walls of the placement cavities are provided with a fixing component for fixing the detection agent.

2. The kit related to malignant transformation of colorectal inflammation according to claim 1, characterized in that: The fixing assembly comprises an elastic stretching plate (6) symmetrically arranged on the side wall of the placement cavity, one end of the elastic stretching plate (6) is fixedly connected to the side wall of the placement cavity; sliding grooves are symmetrically opened on the side wall of the placement cavity, both sides of the elastic stretching plate (6) extend into the sliding grooves and are slidably matched with the sliding grooves; and a plurality of stretching blocks (7) are fixedly connected to the top of the elastic stretching plate (6).

3. The kit related to malignant transformation of colorectal inflammation according to claim 2, characterized in that: The elastic stretching plates (6) in the same placement cavity are fixedly connected to a plurality of magnets (8) at one end close to each other, and the magnets (8) on different elastic stretching plates (6) attract each other.

4. The kit related to malignant transformation of colorectal inflammation according to claim 3, characterized in that: A detection plate is also placed in the placement cavity, and a plurality of detection holes are opened on the surface of the detection plate, and a plurality of specific primers are filled in the detection holes.

5. The kit related to malignant transformation of colorectal inflammation according to claim 4, characterized in that: An upper buckle is fixedly connected to one side of the top cover (1), and a lower buckle engaged with the upper buckle is fixedly connected to the side wall of the box body (4).

6. The kit related to malignant transformation of colorectal inflammation according to claim 5, characterized in that: The surfaces of the top cover (1) and the box body (4) are both coated with black paint.

7. The kit related to malignant transformation of colorectal inflammation according to claim 6, characterized in that: The intelligent system includes the following modules: Data collection module, used to collect case information related to colorectal inflammation and its malignant transformation based on the Internet big model; The model building module is used to organize the collected case information, screen miRNAs related to colorectal inflammation and its malignant transformation through bioinformatics methods, and build a prediction model; Intelligent analysis module, used to analyze the samples provided by patients based on the Internet big model and prediction model, and obtain corresponding analysis results; The condition prediction module is used to predict the patient's condition based on the analysis results.

8. The kit related to malignant transformation of colorectal inflammation according to claim 7, characterized in that: The method for making specific primers is as follows: Step 1, obtain the miRNA sequence: determine the specific name of the miRNA and search for the mature sequence of the miRNA through the Internet big model; Step 2, designing primers: using primer design software to design specific primers for the miRNA and obtaining a design scheme; Step 3, synthesizing primers: Based on the design plan, synthesize specific primers by tailing method.

9. A miRNA marker associated with malignant transformation of colorectal inflammation, suitable for use in any one of the kits associated with malignant transformation of colorectal inflammation in claims 1 to 8, characterized in that: It includes a miRNA marker entity, and the miRNA marker entity is one or more of miR-138-5p, miR-145-5p, miR-146a-5p, miR-150-5p, miR-146a, miR-27a, miR-29a, miR-20a and miR-21.

10. The miRNA marker associated with malignant transformation of colorectal inflammation according to claim 9, characterized in that: The detection method of miRNA marker ontology is as follows: S1, sample processing: the patient's blood is used as a sample, the sample is centrifuged, the supernatant is taken, and the total RNA in the patient's blood is extracted from it, and the miRNA in the total RNA is labeled with a fluorophore; S2, sample binding: combining the labeled sample with the specific primer in the detection well; S3, signal detection: use a fluorescence scanner to detect the detection plate and obtain the hybridization signal; S4, data analysis: The controller performs data analysis on the hybridization signal based on the prediction model, obtains the miRNA expression spectrum in the hybridization signal, and compares the miRNA expression spectrum in the hybridization signal with the miRNA expression spectrum in the prediction model to obtain the analysis result, and sends the analysis result to the patient terminal in the form of a text message.

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