Combined kit for predicting child asthmatic attack and application thereof

Abstract

The invention discloses a combined kit for predicting asthmatic attack of children and application of the combined kit. Target protein is obtained by collecting peripheral blood in acute stage and remission stage of asthmatic children, TMT-TM labeled quantitative proteomics technology detection and bioinformatics analysis of differentially expressed protein, a library is established. Then quantitative analysis is carried out on the target protein through a PRM targeted proteomics technology, a plasma protein marker combination is obtained, peripheral serum of an asthma child patient is detected through an ELISA method to determine the clinical application value of the markers and the combination of the markers, and on this basis, the combined kit is used for detecting the plasma marker combination, the asthmatic attack is predicted through the detection result, and the prediction result has high diagnostic sensitivity and specificity and is expected to become a laboratory diagnostic index of the asthmatic attack.

Description

Technical field [0001] The invention belongs to the field of biomedical development, and more particularly to a combination kit for predicting asthma episode of children. Background technique [0002] Asthma is a chronic airway disease, which is expressed as reversible gas flow occurs, difficult to breathe, wheezing, cough, varying degrees of airway inflammation and bronchial high reactivity. Although people have known asthma in hundreds of years ago, there is still no gold standard for asthma diagnosis. [0003] Airway HyperResponsiveness, AHR) Test helps the diagnosis of symptoms, but AHR's role is limited: Although AHR detection can be used to exclude asthma, for non-asthma patients, Patients with sexual inflammation have high reactivity. There are 20% to 30% of adult asthma patients to excessive diagnosis. [0004] Fiber bronchoscopy has been considered to be the most important means of diagnosis of asthma, although it can accurately invade the airway to detect, but the price...

AI Technical Summary

Problems solved by technology

So far, no single serum marker can be used to accurately determine the severity of a patient's disease

Although many serum markers have been reported in the literature for the diagnosis of asthma, their clinical translation application is rarely reported

Several cohort studies have used data-driven approaches to identify asthma patients with different clinical phenotypes, but the risk factors obtained from different studies are inconsistent, that is, the same phenotype is still heterogeneous; several literatures Using data-driven techniques to discriminate treatment effects for different asthma phenotypes, showing similar treatment effects

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