Metabolism biology age construction method based on plasma metabonomics marker and related system thereof

By constructing a metabolic biological age using 21 plasma metabolomics indicators and a Gompertz proportional hazards model, this approach addresses the problem of existing technologies being unable to accurately assess metabolic aging and disease risk, enabling precise prediction of metabolic aging status and cardiovascular disease risk.

CN121148722APending Publication Date: 2025-12-16HUAZHONG UNIV OF SCI & TECH
0 Cites 0 Cited by

Patent Information

Application Number
CN202511184896.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-22
Publication Date
2025-12-16

AI Technical Summary

Technical Problem

Existing metabolic biology age construction methods are mainly aimed at predicting actual age, resulting in limited information independent of actual age when predicting diseases, and failing to accurately assess an individual's metabolic aging status and cardiovascular metabolic disease risk.

Method used

Using 21 plasma metabolomics indicators, including the average diameter of very low density lipoprotein particles and fatty acid unsaturation, a metabolic biological age was constructed using the Gompertz proportional hazards model to predict mortality risk and identify individuals with accelerated metabolic aging.

Benefits of technology

It can more accurately reflect an individual's metabolic aging status, identify individuals with accelerated metabolic aging, provide early warning of cardiovascular metabolic diseases and mortality risk, and offer more accurate disease predictions.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention belongs to the field of biological aging, and discloses a metabolic biology age construction method based on plasma metabonomics markers and a related system.The construction method comprises the following steps that S1, data sets including plasma metabonomics indexes, actual age data, death or not and death time are prepared, and a training set and a test set are obtained; s2, in the training set, screening specific plasma metabonomics indexes required for constructing metabolic biology ages to obtain 21 specific plasma metabonomics indexes in total; and S3, by utilizing the training set, taking the actual age and the specific plasma metabonomics index as independent variables, taking the death condition as a dependent variable, and obtaining a relational expression of the metabolic biological age through a Gompertz proportional risk model. On the basis of the plasma metabonomics marker, the metabolic biological age is constructed for predicting the death risk, and the aging condition of the metabolic function of an individual can be accurately reflected.
Need to check novelty before this filing date? Find Prior Art