Plasma metabonomics analysis method of patient in primary osteoporosis based on somnipathy

Abstract

The invention discloses a plasma metabonomics analysis method of patient in primary osteoporosis based on somnipathy. The method comprises the following steps: sample preparation: collecting plasma sample of the primary osteoporosis patient of somnipathy people in sleep cognitive behavioral therapy, treating the plasm sample, and then performing the ultra-high-performance liquid chromatography-mass spectrometric detection analysis; determining the somnipathy according to a Pittsburgh sleep quality index table, wherein the ultra-high performance liquid chromatography-mass spectrometric detection analysis is as follows: performing chromatographic separation on a serum sample, and adopting mass spectrometric detection analysis; performing data analysis extraction and aligning instrument original data to acquire the data which is free from noise interference and can be used for statistical analysis; analyzing the data through the orthogonal partial least square judgement analysis and paired sample T test to acquire the difference metabolite between two groups, and performing initial identification and verification on the substances by combining the existing literature report. The method can provide beneficial technical support for the early prediction and prognosis of the somnipathy people in the primary osteoporosis occurrence.

Description

technical field [0001] The invention relates to the technical field of medical research, in particular to a method for analyzing plasma metabolomics of patients with primary osteoporosis based on sleep disorders. Background technique [0002] Sleep disturbance is one of the most common problems in Chinese society at present. It is mainly manifested as difficulty in falling asleep, increased number of awakenings at night, early morning awakening and inability to fall back to sleep after waking up. Long-term low-quality sleep is associated with the occurrence and development of many diseases, and is an important pathogenic factor for the occurrence of osteoporosis, which induces its occurrence and development, and osteoporosis is very prone to fractures. Fractures not only reduce the quality of life of the population, but also increase bedridden-related mortality. Reducing or lowering sleep disorders can greatly improve osteoporosis caused by low-quality sleep, which not only...

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Problems solved by technology

[0006] The purpose of the present invention is to provide a method for analyzing plasma metabolomics of patients with primary osteoporosis based on sleep disorders, which adopts orthogonal partial least squares discriminant analysis (OPLS-DA) and paired sample T test for data analysis. The cross-comparison of the analysis results solves the problem that all samples will be used to build the model in the modeling process due to the advantages of independence, so there is a certain degree of non-independence in the process, which interferes with the judgment of the model's prediction ability and the model's prediction error estimate

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