CN111599461A - Method, device, equipment and storage medium for analyzing action principle of intestinal flora intervention mode - Google Patents

Method, device, equipment and storage medium for analyzing action principle of intestinal flora intervention mode Download PDF

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CN111599461A
CN111599461A CN202010269716.7A CN202010269716A CN111599461A CN 111599461 A CN111599461 A CN 111599461A CN 202010269716 A CN202010269716 A CN 202010269716A CN 111599461 A CN111599461 A CN 111599461A
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intestinal flora
research
intervention mode
group
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CN111599461B (en
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岳朋
石牧
陈敬杰
刘国鑫
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Shenzhen Leadmed Medical Technology Co ltd
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H70/00ICT specially adapted for the handling or processing of medical references
    • G16H70/40ICT specially adapted for the handling or processing of medical references relating to drugs, e.g. their side effects or intended usage

Abstract

The invention discloses a method, a device, equipment and a computer readable storage medium for analyzing the action principle of an intestinal flora intervention mode, which are used for researching the relation between the intestinal flora intervention mode and a cell signal transduction path related to diseases by acquiring a first group of documents; obtaining a second set of literature for studying the relationship between intestinal flora gene analysis and disease-related cell signaling pathways; respectively carrying out statistical analysis on the research contents of the first group of documents and the research contents of the second group of documents to obtain the corresponding relation between the intervention mode of the intestinal flora and the signal transduction pathway of the intestinal flora and the disease-related cells; the action principle of the target intestinal flora intervention mode on the target disease related cell signal transduction pathway is determined based on the corresponding relation, the invention realizes the end-to-end direct acquisition of the action principle of the target intestinal flora intervention mode on the target disease related cell signal transduction pathway, improves the research and development efficiency of medicines, and saves the manpower and resource cost of medicine research.

Description

Method, device, equipment and storage medium for analyzing action principle of intestinal flora intervention mode
Technical Field
The invention relates to the technical field of medicines, in particular to a method, a device, equipment and a storage medium for analyzing the action principle of an intestinal flora intervention mode.
Background
The intestinal micro-ecosystem is composed of intestinal flora and intestinal environment in which the intestinal flora inhabits, and is an important component of the human micro-ecosystem. The human intestinal tract contains more than 1000 kinds of bacteria, the total gene amount is more than 100 times of the human gene amount, and the total intestinal tract bacteria amount is about 10 fourteen times, and is mainly distributed in the colon.
Research shows that intestinal flora can affect the generation and digestion of various substances in organisms, further affect various cell signal transduction pathways of the organisms and cause various diseases. For example, intestinal bacteria can encode a large amount of glycoside hydrolase to ferment carbohydrates which cannot be digested by the host in food, including macromolecular plant polysaccharides, partial oligosaccharides and endogenous mucus produced by epithelial cells, and convert the carbohydrates into monosaccharides and metabolic end products, namely short-chain fatty acids (SCFAs), which are main sources of energy of colon mucosa and liver and are partial sources of energy of muscles and fat tissues, so that the change of intestinal flora influences gene expression of short-chain fatty acid receptors, and the interaction between the intestinal flora and the gene expression regulation can influence the hunger and satiety cycle of the host, and further influence the obesity of the host. The intestinal flora also affects the lipid metabolism of organisms, and triggers a systemic chronic low-grade inflammatory reaction, thereby causing obesity and insulin resistance, and causing the organisms to suffer from obesity, diabetes and the like. Therefore, the intestinal flora intervention method can be used for changing the types of intestinal flora in the colon and the proportion of various intestinal flora in the whole intestinal flora so as to treat and predict related diseases, but the action principle between the intestinal flora intervention method and gene expression or cell transduction cannot be specifically known, so that the diseases cannot be predicted, and the drug development and nutritional intervention cannot be performed on specific diseases. In practical applications, a large number of clinical experiments are required to obtain the intestinal flora to which the target intestinal flora intervention method is applied and the specific relation between the intestinal flora and gene expression or cell transduction, so that the research time is long, and the time and the labor are wasted.
Therefore, the prior art has yet to be developed.
Disclosure of Invention
The invention mainly aims to provide a method, a device, equipment and a storage medium for analyzing the action principle of an intestinal flora intervention mode, and aims to solve the problem of low user conversion rate of the existing online intestinal flora intervention mode action principle analysis mode.
In order to achieve the above object, the present invention provides an intestinal flora intervention mode action principle analysis method, including the following steps:
the method for analyzing the action principle of the intestinal flora intervention mode comprises the following steps:
obtaining a first set of literature investigating the relationship between an intestinal flora intervention mode and a disease-associated cell signaling pathway;
obtaining a second set of literature for studying the relationship between intestinal flora gene analysis and disease-related cell signaling pathways;
respectively carrying out statistical analysis on the research contents of the first group of documents and the research contents of the second group of documents to obtain the corresponding relation between the intervention mode of the intestinal flora and the signal transduction pathway of the intestinal flora and the disease-related cells;
and determining the action principle of the target intestinal flora intervention mode on the target disease related cell signal transduction pathway based on the corresponding relation.
Optionally, the step of obtaining a first set of documents investigating the relationship between gut flora intervention patterns and disease-associated cell signaling pathways comprises:
acquiring search words respectively corresponding to the intervention mode of the intestinal flora and the cell signal transduction path related to the disease, and searching a preset database by using the search words to obtain a primary search document;
performing text analysis on the preliminary retrieval documents to obtain subject analysis results of all documents in the preliminary retrieval documents;
a first set of documents is screened from the preliminary search documents based on the subject matter analysis results.
Optionally, the step of screening out a first group of documents from the preliminary search documents based on the topic analysis result comprises:
screening out secondary retrieval documents from the primary retrieval documents based on the topic analysis result;
performing quality evaluation on the secondary retrieval documents to obtain a bias risk evaluation result;
based on the biased risk assessment results, documents with poor consistency are removed from the secondary search documents to obtain a first set of documents.
Optionally, before the step of performing statistical analysis on the research contents of the first group of documents and the research contents of the second group of documents respectively to obtain the corresponding relationship between the intervention mode of the intestinal flora and the signal transduction pathway of the intestinal flora and the disease-related cells, the method further includes:
and extracting research data of the first group of documents to obtain an inclusion research basic feature table, and taking the inclusion research basic feature table as the research content of the first group of documents.
Optionally, the step of performing statistical analysis on the research contents of the first group of documents and the research contents of the second group of documents respectively to obtain the corresponding relationship between the intervention mode of the intestinal flora, the intestinal flora and the disease-related cell signal transduction pathway includes:
selecting a first effect scale indicator according to the data type of the first group of literature research contents, and selecting a second effect scale indicator according to the data type of the second group of literature research contents;
performing heterogeneity test on a plurality of first sub-documents contained in the first group of documents based on the first effect scale index to obtain a first heterogeneity result of the plurality of first sub-documents;
determining a first statistical analysis model based on the first heterogeneity result, and merging effect values of the research data of the plurality of first sub-documents based on the first statistical analysis model to obtain a first relation research result between the intestinal flora intervention mode and the disease-related cell signal transduction pathway;
performing heterogeneity inspection on a plurality of second sub-documents contained in the second group of documents based on the second effect scale index to obtain second heterogeneity results of the plurality of second sub-documents;
determining a second statistical analysis model based on the second heterogeneity result, and merging effect values of the research data of the plurality of second sub-documents based on the second statistical analysis model to obtain a research result of the relationship between the intestinal flora gene analysis and the disease-related cell signal transduction pathway;
and merging the first relation research result and the second relation research result to obtain the corresponding relation among the intervention mode of the intestinal flora, the intestinal flora and the disease-related cell signal transduction pathway.
Optionally, the step of performing heterogeneity test on the plurality of first sub-documents included in the first group of documents based on the first effect scale indicator to obtain a first heterogeneity result of the plurality of first sub-documents includes:
calculating the effect value variance and the effect value weight of each first sub-document in the first group of documents based on the first effect scale index;
obtaining a statistic Q value of the first group of documents based on the effect value variance and the effect value weight of each first sub-document;
and carrying out heterogeneity test on the statistic Q value to obtain a first heterogeneity result.
Optionally, the step of combining effect values of the research data of the plurality of first sub-documents based on the first statistical analysis model to obtain a first relation research result between the intervention mode of the intestinal flora and the cell signal transduction pathway related to the disease includes:
combining the effect values corresponding to the first sub-documents based on the first statistical analysis model to obtain effect combination values, and obtaining confidence intervals of preset percentages based on the effect combination values;
carrying out statistic x inspection on the effect combination value based on the confidence interval to obtain an inspection result;
determining a first relation research result between the intervention mode of the intestinal flora and the cell signal transduction pathway related to the disease based on the test result.
In order to achieve the above object, the present invention also provides an apparatus for analyzing the action principle of an intervention mode of intestinal flora, comprising:
the first acquisition module is used for acquiring a first group of documents for researching the relation between the intervention mode of the intestinal flora and a cell signal transduction pathway related to diseases;
a second acquisition module for acquiring a second set of literature for studying the relationship between the intestinal flora gene analysis and the disease-related cell signal transduction pathway;
the analysis module is used for respectively carrying out statistical analysis on the research contents of the first group of documents and the research contents of the second group of documents to obtain the corresponding relation between the intervention mode of the intestinal flora and the signal transduction pathway of the intestinal flora and the disease-related cells;
and the determining module is used for determining the action principle of the target intestinal flora intervention mode on the target disease related cell signal transduction path based on the corresponding relation.
In order to achieve the above object, the present invention also provides an apparatus for analyzing the principle of action of an intervention mode of intestinal flora, comprising: the device comprises a memory, a processor and an intestinal flora intervention mode action principle analysis program which is stored on the memory and can run on the processor, wherein the intestinal flora intervention mode action principle analysis program realizes the steps of the intestinal flora intervention mode action principle analysis method when being executed by the processor.
In addition, in order to achieve the above object, the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores an action principle analysis program of an intestinal flora intervention mode, and the action principle analysis program of the intestinal flora intervention mode is executed by a processor to implement the steps of the method for analyzing the action principle of the intestinal flora intervention mode as described above.
In the invention, a first group of documents for researching the relation between the intervention mode of the intestinal flora and a cell signal transduction pathway related to diseases are obtained; obtaining a second set of literature for studying the relationship between intestinal flora gene analysis and disease-related cell signaling pathways; respectively carrying out statistical analysis on the research contents of the first group of documents and the research contents of the second group of documents to obtain the corresponding relation between the intervention mode of the intestinal flora and the signal transduction pathway of the intestinal flora and the disease-related cells; and determining the action principle of the target intestinal flora intervention mode on the target disease related cell signal transduction pathway based on the corresponding relation. In the embodiment, through statistical analysis, the principle of directly obtaining the action of the target intestinal flora intervention mode on the target disease-related cell signal transduction pathway from end to end is realized, clinical experiments by researchers are not needed, the research and development efficiency of the medicine is improved, the manpower and resource cost of medicine research is saved, and the medical development is promoted.
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Fig. 1 is a schematic structural diagram of a hardware operating environment according to an embodiment of the present invention.
Fig. 2 is a schematic flow chart of a first embodiment of the method for analyzing the action principle of the intervention mode of the intestinal flora.
Fig. 3 is a functional schematic block diagram of an apparatus for analyzing the action principle of an intervention mode of intestinal flora according to a preferred embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, fig. 1 is a schematic device structure diagram of a hardware operating environment according to an embodiment of the present invention.
It should be noted that, in the embodiment of the present invention, the device for analyzing the action principle of the intervention mode of the intestinal flora may be a smart phone, a personal computer, a server, and the like, and is not limited specifically herein.
As shown in fig. 1, the device for analyzing the action principle of the intervention mode of intestinal flora may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
It will be appreciated by those skilled in the art that the configuration of the apparatus shown in fig. 1 does not constitute a limitation of the principle of action analysis apparatus for intestinal microbiota intervention and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, the memory 1005, which is a kind of computer storage medium, may include an operating system, a network communication module, a user interface module, and an intestinal flora intervention mode action principle analysis program. The operating system is a program for managing and controlling hardware and software resources of the equipment, and supports the operation of the intestinal flora intervention mode action principle analysis program and other software or programs.
In the device shown in fig. 1, the user interface 1003 is mainly used for data communication with a client; the network interface 1004 is mainly used for establishing communication connection with a server; the processor 1001 may be configured to call the program for analyzing the action principle of the intestinal flora intervention mode stored in the memory 1005, and perform the following operations:
obtaining a first set of literature investigating the relationship between an intestinal flora intervention mode and a disease-associated cell signaling pathway;
obtaining a second set of literature for studying the relationship between intestinal flora gene analysis and disease-related cell signaling pathways;
respectively carrying out statistical analysis on the research contents of the first group of documents and the research contents of the second group of documents to obtain the corresponding relation between the intervention mode of the intestinal flora and the signal transduction pathway of the intestinal flora and the disease-related cells;
and determining the action principle of the target intestinal flora intervention mode on the target disease related cell signal transduction pathway based on the corresponding relation.
Further, the step of obtaining a first set of documents studying the relationship between gut flora intervention patterns and disease-associated cell signaling pathways comprises:
acquiring search words respectively corresponding to the intervention mode of the intestinal flora and the cell signal transduction path related to the disease, and searching a preset database by using the search words to obtain a primary search document;
performing text analysis on the preliminary retrieval documents to obtain subject analysis results of all documents in the preliminary retrieval documents;
a first set of documents is screened from the preliminary search documents based on the subject matter analysis results.
Further, the step of screening out a first group of documents from the preliminary search documents based on the topic analysis result comprises:
screening out secondary retrieval documents from the primary retrieval documents based on the topic analysis result;
performing quality evaluation on the secondary retrieval documents to obtain a bias risk evaluation result;
based on the biased risk assessment results, documents with poor consistency are removed from the secondary search documents to obtain a first set of documents.
Further, before the step of statistically analyzing the research contents of the first group of documents and the research contents of the second group of documents to obtain the corresponding relationship between the intervention mode of the intestinal flora, the intestinal flora and the cell signal transduction pathway related to the disease, the processor 1001 may be further configured to call the application principle analysis program of the intervention mode of the intestinal flora stored in the memory 1005, and perform the following operations:
and extracting research data of the first group of documents to obtain an inclusion research basic feature table, and taking the inclusion research basic feature table as the research content of the first group of documents.
Further, the step of performing statistical analysis on the research contents of the first group of documents and the research contents of the second group of documents respectively to obtain the corresponding relationship between the intervention mode of the intestinal flora and the signal transduction pathway related to the intestinal flora and the disease includes:
selecting a first effect scale indicator according to the data type of the first group of literature research contents, and selecting a second effect scale indicator according to the data type of the second group of literature research contents;
performing heterogeneity test on a plurality of first sub-documents contained in the first group of documents based on the first effect scale index to obtain a first heterogeneity result of the plurality of first sub-documents;
determining a first statistical analysis model based on the first heterogeneity result, and merging effect values of the research data of the plurality of first sub-documents based on the first statistical analysis model to obtain a first relation research result between the intestinal flora intervention mode and the disease-related cell signal transduction pathway;
performing heterogeneity inspection on a plurality of second sub-documents contained in the second group of documents based on the second effect scale index to obtain second heterogeneity results of the plurality of second sub-documents;
determining a second statistical analysis model based on the second heterogeneity result, and merging effect values of the research data of the plurality of second sub-documents based on the second statistical analysis model to obtain a research result of the relationship between the intestinal flora gene analysis and the disease-related cell signal transduction pathway;
and merging the first relation research result and the second relation research result to obtain the corresponding relation among the intervention mode of the intestinal flora, the intestinal flora and the disease-related cell signal transduction pathway.
Further, the step of performing heterogeneity test on the plurality of first sub-documents included in the first group of documents based on the first effect scale indicator to obtain a first heterogeneity result of the plurality of first sub-documents includes:
calculating the effect value variance and the effect value weight of each first sub-document in the first group of documents based on the first effect scale index;
obtaining a statistic Q value of the first group of documents based on the effect value variance and the effect value weight of each first sub-document;
and carrying out heterogeneity test on the statistic Q value to obtain a first heterogeneity result.
Further, the step of combining effect values of the research data of the plurality of first sub-documents based on the first statistical analysis model to obtain a first relation research result between the intervention mode of the intestinal flora and the cell signal transduction pathway related to the disease comprises:
combining the effect values corresponding to the first sub-documents based on the first statistical analysis model to obtain effect combination values, and obtaining confidence intervals of preset percentages based on the effect combination values;
carrying out statistic x inspection on the effect combination value based on the confidence interval to obtain an inspection result;
determining a first relation research result between the intervention mode of the intestinal flora and the cell signal transduction pathway related to the disease based on the test result.
Based on the structure, various embodiments of the intestinal flora intervention mode action principle analysis method are provided.
Referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of the method for analyzing the action principle of the intervention mode of intestinal flora according to the present invention.
While a logical order is shown in the flow chart, in some cases, the steps shown or described may be performed in an order different from that shown or described herein. The execution main body of each embodiment of the intestinal flora intervention mode action principle analysis method can be equipment such as a smart phone, a personal computer, a server and the like, and for convenience of description, the execution main body is omitted in the following embodiments for explanation. In this embodiment, the method for analyzing the principle of action of the intervention mode of the intestinal flora comprises the following steps:
step S10, obtaining a first group of literature for researching the relation between the intervention mode of the intestinal flora and the cell signal transduction pathway related to the disease;
specifically, the intervention mode of the intestinal flora can be inulin, glucan, fructo-oligosaccharide and other polysaccharides, and the intervention mode can be put into a human body to improve the ecological balance of the intestinal flora of the human body. The disease-related cell signal transduction pathway refers to a process in which cells are stimulated by information molecules through cell membranes or intracellular receptors and are converted through an intracellular signal transduction system, thereby affecting the biological functions of the cells, for example, Lipopolysaccharide (LPS) is a component in the cell wall of gram-negative bacteria, is released after being dissolved by gram-negative bacilli, is a main bioactive component for toxic effect of endotoxin, LPS in the intestinal tract can enter blood through the intestinal wall and firstly interacts with Lipopolysaccharide Binding Protein (LBP) existing in serum, the LBP transfers the LPS to CD 14 on the cell membrane and CD 14 soluble in the serum to form LPS/LBP/CD 14 complex, and the complex interacts with the transmembrane receptor TLR4 of cells (such as macrophage, neutrophil and the like) and leads to a large amount of inflammatory factors (I L-1, TLR) through a series of signal transmission, I L-6, TNF-alpha, etc.) and chronic systemic inflammation, ultimately leading to obesity and insulin resistance.
The existing database contains many documents for researching the intervention mode of the intestinal flora and the signal transduction pathway of the cells related to the diseases, and also contains many documents for researching the gene detection analysis of the intestinal flora and the signal transduction pathway of the cells related to the diseases, wherein the database can be a database in the aspects of Chinese and English biomedicine such as MEDLINE, EMBASE or Pubmed, a Chinese biomedical literature database, a Chinese biomedical journal literature database and the like, the documents for researching the relationship between the intervention mode of the intestinal flora and the signal transduction pathway of the cells related to the diseases can be obtained from the database, and the obtained multiple documents can be used as a first group of documents. The acquisition mode can be a search from a database according to keywords set by people, wherein the keywords can be keywords related to the intestinal flora intervention mode, or keywords related to the disease-related cell signal transduction pathway, or keywords related to both the intestinal flora intervention mode and the disease-related cell signal transduction pathway.
Further, step S10 includes:
step S101, obtaining search words respectively corresponding to the intervention mode of the intestinal flora and the cell signal transduction path related to the disease, and searching a preset database by using the search words to obtain a primary search document;
step S102, performing text analysis on the preliminary search documents to obtain subject analysis results of all documents in the preliminary search documents;
and S103, screening a first group of documents from the preliminary search documents based on the topic analysis result.
Specifically, a retrieval strategy is formulated according to research design, research population, intervention measures, comparison measures and research results, a retrieval word is obtained according to the retrieval strategy, a plurality of preliminary retrieval documents are retrieved from the plurality of databases by adopting the obtained retrieval word, a theme analysis model is called, wherein the theme analysis model can be a conventional and common theme analysis model, detailed description is omitted, text analysis is performed on the plurality of preliminary retrieval documents obtained by retrieval to obtain a theme analysis result of each document in the plurality of preliminary retrieval documents, and finally the document of which the theme analysis result is the theme for researching the relationship between the intestinal flora intervention mode and the disease-related cell signal transduction pathway is taken as a first group of documents.
Further, the step S103 includes:
step S1031, screening secondary retrieval documents from the primary retrieval documents based on the theme analysis result;
step S1032, performing quality evaluation on the secondary retrieval literature to obtain a bias risk evaluation result;
step S1033, based on the bias risk assessment result, removing documents with poor consistency from the secondary search documents to obtain a first group of documents.
Specifically, a document whose subject analysis result is the subject of studying the relationship between the intervention pattern of intestinal flora and the disease-associated cell signaling pathway may be first taken as a secondary search document, and then some documents with poor consistency are removed from the secondary search document, and the rest documents are taken as a first group of documents. Among them, each secondary search document may be subjected to quality evaluation using a quality evaluation tool (for example, Jadad scale or Cochrane risk bias evaluation tool) to obtain a bias risk evaluation result of the secondary search document, and then documents with poor consistency are removed from each secondary search document based on the bias risk evaluation result, and the remaining documents may be regarded as the first group of documents.
Step S20, obtaining a second group of documents for researching the relationship between the gene analysis of the intestinal flora and the cell signal transduction pathway related to diseases;
specifically, there are many documents for studying the gene analysis of the intestinal flora and the signal transduction pathway of the disease-related cells in the existing database, and there are also many documents for studying the relationship between the gene analysis of the intestinal flora and the signal transduction pathway of the disease-related cells, wherein the database may also be a database in the biomedical fields of mediline, EMBASE or Pubmed, a database in the biomedical literature of china, a database in the journal of biomedical literature of chinese, and the like, and the documents for studying the relationship between the gene analysis of the intestinal flora and the signal transduction pathway of the disease-related cells may be obtained from the database, and the obtained documents may be used as a second group of documents. The acquisition mode can be that the keyword is searched from a database according to a keyword set by people, wherein the keyword can be a keyword related to the intestinal flora gene analysis, or a keyword related to a cell signal transduction path related to a disease, or a keyword related to both the intestinal flora gene analysis and the disease-related cell signal transduction path.
Step S30, respectively carrying out statistical analysis on the research contents of the first group of documents and the research contents of the second group of documents to obtain the corresponding relation between the intervention mode of the intestinal flora and the signal transduction pathway of the intestinal flora and the disease-related cells;
specifically, Meta analysis is respectively carried out on the research contents of the first group of documents and the research contents of the second group of documents, and the corresponding relation between the intervention mode of the intestinal flora and the signal transduction pathway of the intestinal flora and the disease-related cells is obtained. The research content of the first group of documents can be the relation between polysaccharides such as inulin and the like on insulin resistance or lipid metabolism, the research content of the second group of documents can be genetic analysis of intestinal flora of type 2 diabetes patients, in addition, Meta analysis combines a plurality of research result effects with good homogeneity, increases the sample size of the same research subject, searches heterogeneous sources and various bias evaluations, and finally determines a more exact research conclusion.
And step S40, determining the action principle of the intervention mode of the target intestinal flora on the cell signal transduction pathway related to the target disease based on the corresponding relation.
Specifically, whether the target intestinal flora intervention mode is in corresponding relation with the target disease-related cell signal transduction pathway or not is determined based on the corresponding relation between the intestinal flora intervention mode and the intestinal flora and disease-related cell signal transduction pathway, if so, what the corresponding relation is further determined, and the action principle of the target intestinal flora intervention mode on the target disease-related cell signal transduction pathway is obtained according to the determination result.
For example, research and analysis are performed on the curative effect of probiotic bacteria, prebiotics and synbiotics on type 2 diabetes mellitus when the probiotic bacteria, prebiotics and synbiotics are put into a human body, and research and analysis are performed on the intestinal flora gene analysis of a patient with type 2 diabetes mellitus, and if it is determined that the putting of certain probiotic bacteria, prebiotics and synbiotics can be effective on the type 2 diabetes mellitus patient, it is further determined which intestinal flora or proportion of intestinal flora can influence the lipid metabolism or insulin resistance of the type 2 diabetes mellitus patient, so that the action principle of certain probiotic bacteria, prebiotics and synbiotics on the type 2 diabetes mellitus patient can be determined.
Further, the method for analyzing the action principle of the intestinal flora intervention mode further comprises the following steps:
and step S50, extracting the research data of the first group of documents to obtain an inclusion research basic feature table, and taking the inclusion research basic feature table as the research content of the first group of documents.
Specifically, the research data of the first group of documents is a Random Control Test (RCT) of the intestinal flora intervention mode on the disease-related cell signal transduction pathway, specific experimental study design, study population, intervention measures, control measures and test results are extracted from the Random Control Test (RCT) in the plurality of first sub-documents according to requirements, an inclusion study basic characteristic table is generated according to the specific experimental study design, study population, intervention measures, control measures and test results of the plurality of first sub-documents, and the generated inclusion study basic characteristic table is used as the study content of the first group of documents.
In this example, a first set of literature was obtained to study the relationship between the intervention of gut flora and disease-associated cell signaling pathways; obtaining a second set of literature for studying the relationship between intestinal flora gene analysis and disease-related cell signaling pathways; respectively carrying out statistical analysis on the research contents of the first group of documents and the research contents of the second group of documents to obtain the corresponding relation between the intervention mode of the intestinal flora and the signal transduction pathway of the intestinal flora and the disease-related cells; and determining the action principle of the target intestinal flora intervention mode on the target disease related cell signal transduction pathway based on the corresponding relation. In the embodiment, through statistical analysis, the principle of directly obtaining the action of the target intestinal flora intervention mode on the target disease-related cell signal transduction pathway from end to end is realized, clinical experiments by researchers are not needed, the research and development efficiency of the medicine is improved, the manpower and resource cost of medicine research is saved, and the medical development is promoted.
Further, based on the first embodiment, a second embodiment of the method for analyzing the action principle of the intervention mode of intestinal flora according to the present invention is provided, in this embodiment, the step S30 includes:
step S301, selecting a first effect scale index according to the data type of the research content of the first group of documents, and selecting a second effect scale index according to the data type of the research content of the second group of documents;
specifically, the data type of the research content of the first group of documents is a binary variable, so that the relative risk is selected as a first effect scale index, and the data type of the research content of the second group of documents is a continuous variable, so that the weighted mean difference is selected as a second effect scale index.
Step S302, performing heterogeneity test on a plurality of first sub-documents contained in the first group of documents based on the first effect scale index to obtain first heterogeneity results of the plurality of first sub-documents;
specifically, effect values corresponding to a plurality of first sub-documents of the first group of documents are calculated according to the first effect scale index, and then heterogeneity detection is performed according to the effect values, so that first heterogeneity results of the plurality of first sub-documents are obtained.
Step S303, determining a first statistical analysis model based on the first heterogeneity result, and merging effect values of the research data of the plurality of first sub-documents based on the first statistical analysis model to obtain a first relation research result between the intervention mode of the intestinal flora and the disease-related cell signal transduction pathway;
specifically, if the first heterogeneity result is that the homogeneity among the plurality of first sub-documents is better, the fixed effect model is selected as the first statistical analysis model, and if the first heterogeneity result is that the homogeneity among the plurality of first sub-documents is worse, the random effect model is selected as the first statistical analysis model. According to the existing maximum likelihood estimation formula, effect values of research data of a plurality of first sub-documents are combined to obtain a first relation research result between the intestinal flora intervention mode and the disease-related cell signal transduction pathway.
Step S304, performing heterogeneity test on a plurality of second sub-documents contained in the second group of documents based on the second effect scale index to obtain second heterogeneity results of the plurality of second sub-documents;
specifically, effect values respectively corresponding to a plurality of second sub-documents of the second group of documents are calculated according to the second effect scale index, and then heterogeneity detection is performed according to the effect values, so that second heterogeneity results of the plurality of second sub-documents are obtained.
Step S305, determining a second statistical analysis model based on the second heterogeneity result, and merging effect values of the research data of a plurality of second sub-documents based on the second statistical analysis model to obtain a research result of the relationship between the intestinal flora gene analysis and the disease-related cell signal transduction pathway;
specifically, if the second heterogeneity result is that the homogeneity among the plurality of second sub-documents is better, the fixed effect model is selected as the second statistical analysis model, and if the second heterogeneity result is that the homogeneity among the plurality of second sub-documents is worse, the random effect model is selected as the second statistical analysis model. And combining effect values of the research data of the second sub-documents according to the existing maximum likelihood estimation formula to obtain a second relation research result between the intestinal flora intervention mode and the disease-related cell signal transduction pathway.
And S306, merging the first relation research result and the second relation research result to obtain the corresponding relation among the intervention mode of the intestinal flora, the intestinal flora and the disease-related cell signal transduction pathway.
And specifically, correspondingly associating the first relation research result with the second relation research result according to the b to obtain the corresponding association among the intervention mode of the intestinal flora, the intestinal flora and the disease-related cell signal transduction pathway.
Further, the step S302 includes:
step S3021, calculating effect value variance and effect value weight of each first sub-literature in the first group of literature based on the first effect scale index;
step S3022, obtaining a statistic Q value of the first group of documents based on the effect value variance and the effect value weight of each first sub-document;
and step S3023, performing heterogeneity test on the statistic Q value to obtain a first heterogeneity result.
Specifically, based on the first effect scale index, the effect value variance of each first sub-document in the first group of documents is calculated according to the existing variance calculation formula, and the effect value weight of each first sub-document in the first group of documents is calculated according to the existing weight calculation formula. Based on the calculated effect value variance and effect value weight of each first sub-document, according to a formula: and calculating to obtain a statistical quantity Q value of the first group of documents, and performing heterogeneity test according to the Q value to obtain a first heterogeneity result.
Further, the step S303 includes:
step S3031, combining the effect values corresponding to the first sub-documents based on the first statistical analysis model to obtain effect combination values, and obtaining confidence intervals of preset percentages based on the effect combination values;
step S3032, the effect merging value is subjected to statistic x inspection based on the confidence interval to obtain an inspection result;
step S3033, determining a first relation research result between the intervention mode of the intestinal flora and the cell signal transduction pathway related to the disease based on the test result.
Specifically, a forest map showing results is obtained by using an existing STATA or R software program, an effect combination value is directly obtained from the forest map, and then a first relation research result is obtained based on the effect combination value analysis.
In addition, an embodiment of the present invention further provides an apparatus for analyzing an action principle of an intervention mode of an intestinal flora, and with reference to fig. 3, the apparatus includes:
a first acquisition module 10 for acquiring a first set of documents for studying a relationship between an intervention mode of an intestinal flora and a cell signal transduction pathway associated with a disease;
a second acquisition module 20 for acquiring a second set of documents studying the relationship between the genetic analysis of the intestinal flora and the disease-associated cell signaling pathways;
the analysis module 30 is configured to perform statistical analysis on the research contents of the first group of documents and the research contents of the second group of documents respectively to obtain a corresponding relationship between the intestinal flora, the intervention mode of the intestinal flora, and the disease-related cell signal transduction pathway;
and the determining module 40 is used for determining the action principle of the target intestinal flora intervention mode on the target disease related cell signal transduction pathway based on the corresponding relation.
Further, the first obtaining module 10 includes:
the acquisition unit is used for acquiring search words respectively corresponding to the intestinal flora intervention mode and the disease-related cell signal transduction path, and searching a preset database by using the search words to obtain a primary search document;
the analysis unit is used for performing text analysis on the preliminary search documents to obtain the theme analysis result of each document in the preliminary search documents;
and the screening unit is used for screening a first group of documents from the preliminary retrieval documents based on the theme analysis result.
Further, the screening unit includes:
the screening subunit is used for screening secondary retrieval documents from the primary retrieval documents based on the theme analysis result;
the evaluation subunit is used for carrying out quality evaluation on the secondary retrieval documents to obtain a bias risk evaluation result;
and the removing subunit is used for removing the documents with poor consistency from the secondary search documents to obtain a first group of documents based on the bias risk assessment result.
Further, the device for analyzing the action principle of the intervention mode of the intestinal flora further comprises:
and the extraction module is used for extracting the research data of the first group of documents to obtain an included research basic feature table, and the included research basic feature table is used as the research content of the first group of documents.
Further, the analysis module 30 includes:
the selecting unit is used for selecting a first effect scale index according to the data type of the research content of the first group of documents and selecting a second effect scale index according to the data type of the research content of the second group of documents;
the first examination unit is used for carrying out heterogeneity examination on the plurality of first sub-documents contained in the first group of documents based on the first effect scale index to obtain first heterogeneity results of the plurality of first sub-documents;
the first merging unit is used for determining a first statistical analysis model based on the first heterogeneity result, and merging effect values of the research data of the plurality of first sub-documents based on the first statistical analysis model to obtain a first relation research result between the intestinal flora intervention mode and the disease-related cell signal transduction pathway;
the second examination unit is used for carrying out heterogeneity examination on the plurality of second sub-documents contained in the second group of documents based on the second effect scale index to obtain second heterogeneity results of the plurality of second sub-documents;
the second merging unit is used for determining a second statistical analysis model based on the second heterogeneity result, and merging effect values of the research data of the second sub-documents based on the second statistical analysis model to obtain a research result of the relationship between the intestinal flora gene analysis and the disease-related cell signal transduction pathway;
and the third merging unit is used for merging the first relation research result and the second relation research result to obtain the corresponding relation among the intervention mode of the intestinal flora, the intestinal flora and the disease-related cell signal transduction pathway.
Further, the first inspection unit includes:
a calculating subunit, configured to calculate, based on the first effect scale indicator, an effect value variance and an effect value weight of each first sub-document in the first set of documents;
the first determining subunit is used for obtaining a statistic Q value of the first group of documents based on the effect value variance and the effect value weight of each first sub-document;
and the first test subunit is used for carrying out heterogeneity test on the statistic Q value to obtain a first heterogeneity result.
Further, the first merging unit includes:
the merging subunit is used for merging the effect values corresponding to the first sub-documents based on the first statistical analysis model to obtain effect merging values, and obtaining confidence intervals of preset percentages based on the effect merging values;
the second checking subunit is used for performing statistic x checking on the effect combination value based on the confidence interval to obtain a checking result;
and the second determining subunit is used for determining a first relation research result between the intervention mode of the intestinal flora and the cell signal transduction pathway related to the disease based on the test result.
The development content of the specific embodiment of the device for analyzing the action principle of the intervention mode of the intestinal flora of the present invention is basically the same as that of each embodiment of the method for analyzing the action principle of the intervention mode of the intestinal flora, and is not described herein again.
In addition, an embodiment of the present invention further provides a computer-readable storage medium, where an analysis program of an action principle of an intervention mode of intestinal flora is stored in the storage medium, and when the analysis program of the action principle of the intervention mode of intestinal flora is executed by a processor, the method of the action principle analysis method of the intervention mode of intestinal flora as described below is implemented.
The embodiments of the device for analyzing the action principle of an intestinal flora intervention mode and the computer-readable storage medium of the present invention can refer to the embodiments of the method for analyzing the action principle of an intestinal flora intervention mode of the present invention, and are not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (10)

1. An intestinal flora intervention mode action principle analysis method is characterized by comprising the following steps of:
obtaining a first set of literature investigating the relationship between an intestinal flora intervention mode and a disease-associated cell signaling pathway;
obtaining a second set of literature for studying the relationship between intestinal flora gene analysis and disease-related cell signaling pathways;
respectively carrying out statistical analysis on the research contents of the first group of documents and the research contents of the second group of documents to obtain the corresponding relation between the intervention mode of the intestinal flora and the signal transduction pathway of the intestinal flora and the disease-related cells;
and determining the action principle of the target intestinal flora intervention mode on the target disease related cell signal transduction pathway based on the corresponding relation.
2. The method for the analysis of the principle of action of gut flora intervention modalities according to claim 1, wherein the step of obtaining the first set of literature investigating the relationship between gut flora intervention modalities and disease-associated cell signaling pathways comprises:
acquiring search words respectively corresponding to the intervention mode of the intestinal flora and the cell signal transduction path related to the disease, and searching a preset database by using the search words to obtain a primary search document;
performing text analysis on the preliminary retrieval documents to obtain subject analysis results of all documents in the preliminary retrieval documents;
a first set of documents is screened from the preliminary search documents based on the subject matter analysis results.
3. The method for analysis of gut flora intervention mode of action according to claim 2, wherein the step of screening the first group of documents from the preliminary search documents based on the subject analysis comprises:
screening out secondary retrieval documents from the primary retrieval documents based on the topic analysis result;
performing quality evaluation on the secondary retrieval documents to obtain a bias risk evaluation result;
based on the biased risk assessment results, documents with poor consistency are removed from the secondary search documents to obtain a first set of documents.
4. The method according to claim 1, wherein the step of statistically analyzing the contents of the first and second groups of documents to obtain the correspondence between the intervention mode of intestinal flora, the intestinal flora, and the disease-associated cell signaling pathway further comprises:
and extracting research data of the first group of documents to obtain an inclusion research basic feature table, and taking the inclusion research basic feature table as the research content of the first group of documents.
5. The method for analyzing the principle of action of intestinal flora intervention modes according to any one of claims 1 to 4, wherein the step of statistically analyzing the research contents of the first group of documents and the research contents of the second group of documents respectively to obtain the corresponding relationship among the intestinal flora intervention modes, the intestinal flora and the disease-related cell signal transduction pathway comprises:
selecting a first effect scale indicator according to the data type of the first group of literature research contents, and selecting a second effect scale indicator according to the data type of the second group of literature research contents;
performing heterogeneity test on a plurality of first sub-documents contained in the first group of documents based on the first effect scale index to obtain a first heterogeneity result of the plurality of first sub-documents;
determining a first statistical analysis model based on the first heterogeneity result, and merging effect values of the research data of the plurality of first sub-documents based on the first statistical analysis model to obtain a first relation research result between the intestinal flora intervention mode and the disease-related cell signal transduction pathway;
performing heterogeneity inspection on a plurality of second sub-documents contained in the second group of documents based on the second effect scale index to obtain second heterogeneity results of the plurality of second sub-documents;
determining a second statistical analysis model based on the second heterogeneity result, and merging effect values of the research data of the plurality of second sub-documents based on the second statistical analysis model to obtain a research result of the relationship between the intestinal flora gene analysis and the disease-related cell signal transduction pathway;
and merging the first relation research result and the second relation research result to obtain the corresponding relation among the intervention mode of the intestinal flora, the intestinal flora and the disease-related cell signal transduction pathway.
6. The method according to claim 5, wherein the step of performing heterogeneity test on the plurality of first sub-documents contained in the first group of documents based on the first effect scale index to obtain a first heterogeneity result of the plurality of first sub-documents comprises:
calculating the effect value variance and the effect value weight of each first sub-document in the first group of documents based on the first effect scale index;
obtaining a statistic Q value of the first group of documents based on the effect value variance and the effect value weight of each first sub-document;
and carrying out heterogeneity test on the statistic Q value to obtain a first heterogeneity result.
7. The method according to claim 5, wherein the step of combining effect values of the research data of the first sub-documents based on the first statistical analysis model to obtain the first relationship research result between the intestinal flora intervention mode and the disease-related cell signal transduction pathway comprises:
combining the effect values corresponding to the first sub-documents based on the first statistical analysis model to obtain effect combination values, and obtaining confidence intervals of preset percentages based on the effect combination values;
carrying out statistic x inspection on the effect combination value based on the confidence interval to obtain an inspection result;
determining a first relation research result between the intervention mode of the intestinal flora and the cell signal transduction pathway related to the disease based on the test result.
8. An intestinal flora intervention mode action principle analysis device, comprising:
the first acquisition module is used for acquiring a first group of documents for researching the relation between the intervention mode of the intestinal flora and a cell signal transduction pathway related to diseases;
a second acquisition module for acquiring a second set of literature for studying the relationship between the intestinal flora gene analysis and the disease-related cell signal transduction pathway;
the analysis module is used for respectively carrying out statistical analysis on the research contents of the first group of documents and the research contents of the second group of documents to obtain the corresponding relation between the intervention mode of the intestinal flora and the signal transduction pathway of the intestinal flora and the disease-related cells;
and the determining module is used for determining the action principle of the target intestinal flora intervention mode on the target disease related cell signal transduction path based on the corresponding relation.
9. An intestinal flora intervention mode action principle analysis device, comprising: a memory, a processor and an gut flora intervention mode action principle analysis program stored on the memory and operable on the processor, the gut flora intervention mode action principle analysis program when executed by the processor implementing the steps of the gut flora intervention mode action principle analysis method according to any one of claims 1 to 7.
10. A computer-readable storage medium, wherein the computer-readable storage medium stores thereon a schematic analysis program for a schematic analysis of an intervention mode of gut flora, and the program, when executed by a processor, implements the steps of the method for a schematic analysis of an intervention mode of gut flora as claimed in any one of claims 1 to 7.
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Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030054402A1 (en) * 1993-03-31 2003-03-20 Cadus Pharmaceutical Corporation Methods and compositions for identifying receptor effectors
US20120222142A1 (en) * 2009-09-01 2012-08-30 Aeon Medix Inc. Gut flora-derived extracellular vesicles, and method for searching for a disease model, vaccine, and candidate drug and for diagnosis using the same
CN103310105A (en) * 2013-06-13 2013-09-18 浙江加州国际纳米技术研究院绍兴分院 Method for screening non-small-cell lung cancer curative effect biomarker
CN106942750A (en) * 2017-03-21 2017-07-14 上海中优医学检验所有限公司 For detoxification ability related gene Individual treatment formula food and preparation method thereof
CN109063420A (en) * 2018-06-29 2018-12-21 迈凯基因科技有限公司 A kind of colorectal cancer genetic mutation and drug interpret multiple database interactive system
US20190087534A1 (en) * 2017-09-21 2019-03-21 The Penn State Research Foundation Systems, methods, and processor-readable media for detecting disease causal variants
CN109686452A (en) * 2018-12-14 2019-04-26 暨南大学 A kind of intelligence system and method formulated for diabetes medicament Intervention Strategy
CN110232119A (en) * 2019-05-08 2019-09-13 中国科学院计算技术研究所 Universal intelligent measurement model construction method and system based on meta analysis
CN110544536A (en) * 2019-07-26 2019-12-06 山西中医药大学 Lung cancer treatment core prescription discovery method based on data mining analysis method
KR102084513B1 (en) * 2019-07-17 2020-03-04 가천대학교 산학협력단 Brain Disease Research Assistance System, Method and Computer-readable Medium Using Text-Mining

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030054402A1 (en) * 1993-03-31 2003-03-20 Cadus Pharmaceutical Corporation Methods and compositions for identifying receptor effectors
US20120222142A1 (en) * 2009-09-01 2012-08-30 Aeon Medix Inc. Gut flora-derived extracellular vesicles, and method for searching for a disease model, vaccine, and candidate drug and for diagnosis using the same
CN103310105A (en) * 2013-06-13 2013-09-18 浙江加州国际纳米技术研究院绍兴分院 Method for screening non-small-cell lung cancer curative effect biomarker
CN106942750A (en) * 2017-03-21 2017-07-14 上海中优医学检验所有限公司 For detoxification ability related gene Individual treatment formula food and preparation method thereof
US20190087534A1 (en) * 2017-09-21 2019-03-21 The Penn State Research Foundation Systems, methods, and processor-readable media for detecting disease causal variants
CN109063420A (en) * 2018-06-29 2018-12-21 迈凯基因科技有限公司 A kind of colorectal cancer genetic mutation and drug interpret multiple database interactive system
CN109686452A (en) * 2018-12-14 2019-04-26 暨南大学 A kind of intelligence system and method formulated for diabetes medicament Intervention Strategy
CN110232119A (en) * 2019-05-08 2019-09-13 中国科学院计算技术研究所 Universal intelligent measurement model construction method and system based on meta analysis
KR102084513B1 (en) * 2019-07-17 2020-03-04 가천대학교 산학협력단 Brain Disease Research Assistance System, Method and Computer-readable Medium Using Text-Mining
CN110544536A (en) * 2019-07-26 2019-12-06 山西中医药大学 Lung cancer treatment core prescription discovery method based on data mining analysis method

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