Microbial marker of type II diabetes mellitus and application of microbial marker

A technology of microorganisms and markers, which is applied in the field of microorganisms, can solve the problems of being unable to display information related to type II diabetes, and achieve the effects of reducing the risk of type II diabetes, improving the intestinal environment, and being widely used

Active Publication Date: 2019-08-16
SHANGHAI BIOTECAN PHARMA +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the diagnostic methods in the prior art are simple, fast and accurate, they require invasive blood collection, and only detect the final result of type 2 diabetes, and cannot display more information related to type 2 diabetes
Some treatment methods...

Method used

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  • Microbial marker of type II diabetes mellitus and application of microbial marker
  • Microbial marker of type II diabetes mellitus and application of microbial marker
  • Microbial marker of type II diabetes mellitus and application of microbial marker

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Embodiment 1

[0043] The selection of embodiment 1 machine learning classifier

[0044] The present invention selects Xgboost as the basis of the optimal model through the screening and matching of a large amount of information, and the specific method is as follows:

[0045] (1) Perform 16S sequencing on the fecal bacteria of 66 cases of type 2 diabetes and 53 cases of healthy people, clean the data and match the database to obtain the abundance of 243 bacteria of specific genera, the distribution of experimental samples is shown in figure 2 ;

[0046] (2) Construct a machine learning classifier: the measured abundance values ​​of 243 bacterial genera are used as input data, and the diagnosis results are used as target results (0: control, 1: suffering from type 2 diabetes disease)). The classifier constructed includes Logistic regression, random forest, Adaboost and Xgboost, and the classifier is adjusted with Gridsearch to select optimal parameters;

[0047] (3) Cross-validation selec...

Embodiment 2

[0049] The bacterium of embodiment 2 specific species is selected

[0050] (1) Feature screening: wrapping feature selection, that is, the evaluation principle of using the performance of the learner (Xgboost) that will be used eventually as a feature subset. The Xgboost model obtains the Feature-importance score of variable features, and the top 20 features and their importance scores are shown in Figure 4 , according to the high and low ranking of the score, gradually increase the number of bacterial variables to obtain the variables required for the optimal ROC-AUC (see Figure 5 );

[0051] (2) Test model: The bacterial abundance of 18 specific genera is used as the value of the input characteristic variable, and the diagnosis result is used as the target result. All data is cross-segmented by 5-fold stratified sampling, the training set is input into Xgboost, and the test set is used to test the prediction results of xgboost. The prediction results of each Xgboost are ...

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Abstract

The invention provides a microbial marker of type II diabetes mellitus and an application of the microbial marker. The microbial marker comprises a composition of Eggerthella, Erysipelotrichaceae, Faecalitalea, Lachnospiraceae_ge and Lachnoclostridium. The microbial marker of the type II diabetes millitus has a high correlation with the type II diabetes millitus, can be used to assist in the diagnosis or early warning of the risk of the type II diabetes mellitus, and is also beneficial for individuals to improve the microenvironment of intestinal bacterial by adjusting diet or medical interference, thereby reducing the risk of developing the type II diabetes mellitus.

Description

technical field [0001] The invention belongs to the field of microorganisms, and relates to a type II diabetes microbial marker and application thereof. Background technique [0002] Diabetes is caused by genetic factors, immune dysfunction, microbial infection and its toxins, free radical toxins, mental factors and other pathogenic factors acting on the body to cause hypofunction of pancreatic islets and insulin resistance. and electrolytes and a series of metabolic disorder syndromes, clinically characterized by hyperglycemia. Among them, type II diabetes accounts for more than 90% of the number of diabetic patients. In addition to the obvious family history of type II diabetes patients, obesity and diet are the main environmental factors that induce diabetes. The gastrointestinal flora also has both genetic and environmental factors. Most of the time, the two are closely related. For example, indole propionic acid, which is produced by some intestinal bacteria, can prev...

Claims

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Application Information

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IPC IPC(8): C12Q1/6883
CPCC12Q1/6883Y02A50/30
Inventor 王丽君高军晖李无霜张英霞林灵袁卫兰龚建兵江荣峰
Owner SHANGHAI BIOTECAN PHARMA
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