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Microbial marker for evaluating fecal microbiota transplantation curative effect of type 2 diabetes mellitus patients and application thereof

A technology of type 2 diabetes and fecal bacteria transplantation, applied in the field of microbial detection, to avoid excessive medical treatment

Inactive Publication Date: 2021-09-03
BERKELEY NANJING MEDICAL RES CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of the fact that there are no intestinal flora markers and scoring systems for predicting the efficacy of fecal microbiota transplantation in type 2 diabetics in the world at present, which can be used to guide the precise selection of beneficiary patients, therefore, to provide a specificity, high sensitivity, with Microbial markers of type 2 diabetes are of great significance for the accurate prediction and selection of beneficiary patients

Method used

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  • Microbial marker for evaluating fecal microbiota transplantation curative effect of type 2 diabetes mellitus patients and application thereof
  • Microbial marker for evaluating fecal microbiota transplantation curative effect of type 2 diabetes mellitus patients and application thereof
  • Microbial marker for evaluating fecal microbiota transplantation curative effect of type 2 diabetes mellitus patients and application thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] Example 1 DNA extraction and sequencing

[0045] DNA extraction method: Genomic DNA was extracted from 0.25 g of fecal samples using the QIAamp PowerFecal Pro DNA kit according to the manufacturer's instructions. Processed samples are added to bead-beating tubes. Fast and thorough homogenization using mechanical and chemical methods. Once cells are differentiated, IRT is used to remove inhibitors. Total genomic DNA is captured on a silicon membrane in a spin column format. The DNA is then washed and eluted, ready for downstream applications.

[0046] Samples were subjected to 16S rRNA sequencing using an Illumina MiSeq.

Embodiment 2

[0047] Example 2 Identification of biomarkers

[0048] The identification and screening of biomarkers need to meet the following three conditions at the same time:

[0049] 1. The relative abundance of this bacterium is statistically different between healthy people and diabetic patients who are effective in fecal microbiota transplantation (before fecal microbiota transplantation); After fecal microbiota transplantation), there was no statistical difference.

[0050] 2. The relative abundance of this bacterium has no statistical difference between healthy people and diabetic patients who are ineffective in fecal microbiota transplantation (before fecal microbiota transplantation); After fecal microbiota transplantation), there was no statistical difference.

[0051] 3. The relative abundance of this bacterium is statistically different between diabetic patients who are effective in fecal microbiota transplantation (before fecal microbiota transplantation) and diabetic patie...

Embodiment 3

[0052] Example 3 Model Training

[0053] The constructed classifier is random forest. Using the relative abundance of the species as the risk value, the area under the curve (AUC) was estimated, and the larger the AUC, the higher the diagnostic ability. based on Rikenellaceae and Anaerotruncus Random forest classification performed at relatively rich levels yielded about 82.4% prediction accuracy with an AUC of about 0.83 ( Figure 7 ). The trained model can be based on the pre-FMT stool samples of patients Rikenellaceae Section and Anaerotruncus Abundance of genera was used to predict patient response to FMT treatment.

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Abstract

The invention discloses an intestinal metagenomic feature used as a fecal microbiota transplantation curative effect screening marker for type 2 diabetes mellitus patients. The intestinal microbe metagenomic feature is Rinkenellaceae family and Anerotrunk family intestinal flora, and the type 2 diabetes mellitus patient suitable for fecal microbiota transplantation treatment are selected according to the expression levels of the specific intestinal flora markers. Corresponding detection kits are designed and developed according to the intestinal flora biomarkers and different detection technology platforms. The system and the product can be used for precise treatment of type 2 diabetes mellitus based on individualization.

Description

technical field [0001] The invention belongs to the technical field of microbial detection, and in particular relates to a group of intestinal flora markers related to the curative effect of human type 2 diabetes fecal bacteria transplantation and its application in clinical precision medicine. Background technique [0002] Diabetes is one of the important chronic diseases threatening the world, and drugs play an important role in the treatment of diabetes. Recently, according to the physiological and pathological mechanism of type 2 diabetes, many target drugs have been developed, such as GLP-1 receptor agonists, DDP-4 inhibitors and SGLT-1, 2 inhibitors. However, in the process of treatment, individual differences in the response of type 2 diabetes to drugs are common. Its mechanism is related to many factors such as heredity, gender, age, height, weight, living and eating habits, disease state and combined medication. Although pharmacogenomics defines the use of persona...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/689C12Q1/06
CPCC12Q1/689C12Q1/06G01N2800/042G01N2800/52C12Q2600/158C12Q2600/178G01N2333/195Y02A50/30
Inventor 丁大法畅航毛建华
Owner BERKELEY NANJING MEDICAL RES CO LTD
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