Biomarkers and kits for predicting the risk of developing ad in the elderly and their application

A risk and complex technology, applied in the field of risk biomarkers and kits, can solve the problems of time-consuming, labor-intensive, and expensive AD diagnostic methods, and achieve the effects of fast detection, low cost and high accuracy.

Active Publication Date: 2022-05-24
HUAZHONG UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a group of biomarkers and kits for predicting the risk of AD in the elderly and their applications in order to overcome the problems of expensive, time-consuming and labor-intensive AD diagnostic methods in the prior art

Method used

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  • Biomarkers and kits for predicting the risk of developing ad in the elderly and their application
  • Biomarkers and kits for predicting the risk of developing ad in the elderly and their application
  • Biomarkers and kits for predicting the risk of developing ad in the elderly and their application

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0046]For persons with mild cognitive impairment (MCI, MMSE=18-23), severe cognitive impairment (AD, MMSE=2-17) and age / sex matched normal cognition (MMSE=29-30) ( Ctrl group) performed a comprehensive and in-depth platelet proteomic analysis using TMT-LC-MS / MS technology. The specific process includes: first, label each protein sample with a TMT tag, then perform mass spectrometry identification, secondly perform differential protein analysis and Pearson correlation analysis to identify candidate proteins, and finally use machine learning methods based on candidate proteins to establish the best combination of markers.

[0047] The results of proteomic analysis such as figure 1 As shown in A, a total of 2994 platelet proteins were captured by proteomics, and a total of 360 differential proteins were identified in MCI and AD patients compared with normal cognitive population (Pfigure 1 B); AD patients compared with normal cognitive population, 121 differential proteins were do...

Embodiment 2

[0049] According to the results obtained in Example 1, 26 core platelet proteins were defined as candidate proteins through MMSE correlation and pathway analysis, and the correlation coefficients between the 26 platelet candidate proteins and MMSE scores were further ranked, and the candidate proteins were ranked according to the Pearson correlation coefficient. Ranking of biomarkers (p figure 2 A), where the ratio of the shaded circle to the circle indicates the magnitude of the correlation, and the relative expression abundance of the candidate biomarkers is shown in figure 2 shown in B. As can be seen from the figure, the increase or decrease of candidate proteins was very uniform, and all 26 candidate proteins showed moderate MMSE correlation (|r|=0.371-0.552). Among them, the decrease of platelet CD63 showed the strongest correlation with MMSE score (r=0.552, P=0.002). The correlation coefficients (r) of antiproliferative protein, cytochrome b-c1 complex subunit 6, plat...

Embodiment 3

[0052] To explore the dynamics of the platelet proteome during cognitive decline, we performed clustering and protein-protein interaction (PPI) network analysis in MCI, AD and cognitively normal control populations. Compared with normal cognitive controls, differential proteins and related bioinformatics analysis results in MCI and AD patients are as follows: image 3 shown. image 3 In A, according to the change trend of differential proteins in Ctrl, MCI to AD groups, the differential proteins are divided into three clusters (each row represents one protein); image 3 In B, signal pathway enrichment analysis was performed on the differential proteins of the three clusters by Metascape online analysis (overlapping proteins≥3, P image 3 C represents the protein-protein interaction modules detected in the three clusters; image 3 D represents the biological function process in which the differential proteins are significantly enriched. Among them, the circle module represents...

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Abstract

The invention relates to the field of medicine, in particular to biomarkers and kits for predicting the risk of developing AD in the elderly and applications thereof. The biomarkers were included to include antiproliferative proteins, cytochrome b-c1 complex subunit 6, platelet glycoprotein Ib chain, and fibronectin. The biomarker can be used to evaluate the elderly, with high accuracy, fast detection speed, low cost, less trauma, and easy acceptance by the subjects, providing a scientific and effective diagnostic solution for AD. The kit can screen for AD in a large-scale elderly population, and only needs to collect peripheral blood to complete the detection, making it possible to screen a large-scale elderly population.

Description

technical field [0001] The present invention relates to the field of medicine, in particular to biomarkers and kits for predicting the risk of AD in the elderly and their applications. Background technique [0002] Alzheimer's disease (AD) is a primary degenerative disease of the central nervous system and the most common type of dementia. The main clinical symptoms of AD are slow cognitive decline, including progressive loss of memory, logical reasoning ability, and language function, and finally develop into severe dementia. [0003] At present, there is still a lack of early diagnosis measures for AD, and patients often have irreversible brain damage when they go to the doctor, resulting in poor treatment effect. Therefore, finding early risk factors is of great significance for early diagnosis and intervention. [0004] Platelets and neurons have many biological similarities, therefore, platelets are ideal materials for finding peripheral biomarkers of central nervous ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N33/68
CPCG01N33/6896
Inventor 王建枝余海涛刘彦超柯丹
Owner HUAZHONG UNIV OF SCI & TECH
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