Small molecule metabolite biomarker for diagnosing acute diseases as well as screening method and application of small molecule metabolite biomarker
A technology of small molecule metabolites and biomarkers, applied in the diagnosis model and construction of acute diseases, non-specific small molecule metabolites and their screening fields, can solve the problems of limited association information, unpredictable diseases, and insufficient diagnosis of acute diseases. basis, etc.
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Embodiment 1
[0051] Example 1: Relative Concentration Determination of Non-specific Small Molecule Metabolites
[0052] Simultaneous detection of thousands of metabolites in samples, samples from healthy individuals and diseased individuals, biological samples of healthy individuals include but not limited to blood, serum, plasma, urine, saliva, sweat, spinal fluid, respiratory, Feces, etc., samples from diseased individuals may further include biopsy tissue.
[0053] Blood samples from 100 lung cancer patients (LC), 100 lung chronic disease groups (LCD), 100 other cancer groups (OC) and 100 healthy individuals (Hctl) were obtained from the hospital (in patients and healthy individuals) after signing the informed consent form). Using gas chromatography-mass spectrometry (GC-MS) and liquid chromatography-mass spectrometry (LC-MS), the relative concentrations of small molecule metabolites in participants' blood samples were determined as follows.
[0054] 1.1. Sample processing
[0055] T...
Embodiment 2
[0088] Example 2: Screening of non-specific small molecule metabolite biomarkers for diagnosis of lung cancer
[0089]How to define the target (screening of biomarkers for diagnosing lung cancer) and how to preprocess the data is explained in detail in this example. Biomarker discovery implies the identification of metabolic signatures (i.e., small molecule metabolites) whose abundance (possibly several metabolites combined) in an individual is indicative of an individual's current or future disease or similar state under the condition. To this end, it is first necessary to screen for metabolic signatures with high predictive or diagnostic power (i.e., small molecule metabolite biomarkers), which can then be used to build supervised machine learning models, that is, to create models that can accurately predict unseen data. Models that respond to or diagnose data in individuals and can identify potential non-specific small molecule metabolites as biomarkers.
[0090] The chal...
Embodiment 3
[0118] Embodiment 3: Diagnostic equipment and diagnostic model of lung cancer
[0119] In this embodiment, a device for lung cancer diagnosis is also provided based on the provided lung cancer diagnosis method, which includes:
[0120] 1) an analysis unit for analyzing a subject sample comprising a detector (mass spectrometry device) for the determination of the amount of the small molecule metabolite biomarker determined in Example 2;
[0121]2) data storage unit, including the data obtained by the analysis unit of step 1);
[0122] 3) A data processing unit, including an algorithm for performing processing on the data in the data storage unit in step 2), specifically processing several small molecule metabolisms determined in Example 2 in the data storage unit in step 2). Quantitative data on biomarkers;
[0123] 4) An information output unit, which outputs the result processed by the data processing unit.
[0124] In this example, a lung cancer diagnosis model was also c...
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