Model and constructing method thereof

Abstract

The invention provides atherosclerotic early-period identification model construction technology based on metagenome sequencing. According to the technology, an international advance Illumina NovaSeqplatform is utilized. Nextera transposon air gun metagenome sequencing technology is applied on the human feces and oral cavity flora metagenome. In cooperation with traditional high-flux sequencing,metagenome data are generated. Furthermore a database and a system are used for performing metagenome sequencing data analysis. Through performing training set and verifier machine rectification on data, and in cooperation with machine learning and a neural network algorithm, a reliable early-period atherosclerotic identification model is generated; and furthermore verification is performed through expanding a metagenome biomarker. The technology is based on relatively large scale of systematical queue researching. Correlation analysis of pathogenesis change and bacterial spectrum is performedthrough the queue, thereby determining an early-period marker, and supplying a systematical researching method with higher value in a preventative medical science field.

Description

technical field [0001] The invention relates to the field of biotechnology, in particular to a model and its construction method. Background technique [0002] Cardiovascular disease is the leading cause of death worldwide, of which atherosclerosis accounts for the main pathogenic factor. The analysis results of traditional studies have shown that the risk-related factors of atherosclerosis involve chronic inflammatory diseases such as male sex, age, smoking, hypertension, hyperlipidemia, obesity and diabetes. On the other hand, biomarkers such as elevated circulating high-sensitivity C-reactive protein also suggest atherosclerotic etiology. In recent years, increasing evidence has shown that infections and chronic inflammatory diseases, such as rheumatoid arthritis, are also associated with an increased risk of atherosclerosis. Among them, the inflammatory mechanism caused by bacterial infection is currently considered to be an important cause of atherosclerosis. [0003...

AI Technical Summary

Problems solved by technology

[0007] 1. The current research is basically aimed at the western population, and there are relatively few studies on the oriental population, and the research on metagenomics and cardiovascular diseases in my country is still in its infancy; the genetic background, immune system, living habits and eating habits of the eastern and western people have unique characteristics. For example, in terms of the eating habits of the subjects, the West mainly eats a high-fat and high-calorie diet, while the East mainly eats a carbohydrate diet; in a natural state, the intestinal Presella bacteria content of the Orientals is much lower Higher than Westerners, while Westerners are dominated by Bacteroides content

[0008] 2. Most studies adopt the research idea of ​​sample-control (Case-Control), which lacks the bias control of systematic cohort studies, the background of the subjects is relatively complex, and the investigation of previous diet content and living habits is missing; another On the one hand, the research object is the digestive tract metagenome of patients who have already developed diseases, which is a cross-sectional study, and the correlation analysis between the course of the disease and the bacterial spectrum cannot be carried out through the cohort, so as to judge the early markers, which is of great value in the field of preventive medicine. Limited; again, the number of participants in previous metagenomic studies was small, usually only 20-50 samples, and there was a lack of large-scale studies with hundreds or even more subjects, and sampling errors may exist

[0009] 3. Advanced issues at the technical level

Previous studies mainly rely on the sequencing of the 16s rDNA hypervariable region of bacteria, which can only study the bacterial kingdom in organisms, but can’t do anything about other microorganisms such as viruses, fungi, and parasites; and metagenomic shotgun sequencing with more reliable inspection efficiency Compared with the (Shotgun) method, 16s rDNA sequencing can only know "who is there" in the microbiome, while the latter can also know "what they are doing", which is of great significance for explaining clinical phenotypes and pathogenesis

[0010] 4. The richness of clinical phenotypes of the subjects, especially the lack of cranial imaging data in previous studies, only relying on whether there is atheromatous plaque or infarct lesions, without pathological classification and quantification, is the cause of this problem. single cause

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