Biomarker combination for white matter lesion and application of biomarker combination
A biomarker, white matter technology, applied in instruments, measuring devices, scientific instruments, etc., can solve the problems of high cost, missed treatment time, expensive testing equipment, etc., and achieve the effect of accurate test results and cost reduction.
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Embodiment 1
[0042] (1) The control group used for model establishment was 29 people: there was no abnormality in the MRI nuclear magnetic resonance examination, and the age range was above 45.
[0043] A group of 49 patients: MRI nuclear magnetic resonance showed infarcts in the white matter of the brain, and the age range was over 45. Serum samples were collected from the above-mentioned people and corresponding clinical data were collected.
[0044] Take 200 μL of the collected serum samples and extract with 600 μL of pre-cooled isopropanol, vortex with a vortex shaker for 1 min, incubate at room temperature for 10 min, then store the extraction mixture at -20 °C overnight, centrifuge at 4000rr in a refrigerated centrifuge for 20 min, Transfer the supernatant to a new centrifuge tube and dilute to 1:10 with a 2:1:1 volume ratio of isopropanol:acetonitrile:water mixture. Samples were stored at -80°C until LC-MS analysis. Additionally, pooled serum samples were prepared by combining 10 µ...
Embodiment 2
[0078] The above-mentioned logistic regression model was verified using an external data set, and the sampling standard was the same as that in Example 1. The sample group for model verification was 130 people, 85 people were patients, and 45 people were normal controls. Using the method in Example 1 to carry out ultra-high performance liquid chromatography-mass spectrometry method for serum ceramide (d18:0 / 24:1 (15Z)), phosphatidylcholine (O-18:0 / 0:0) and galactosylceramide (d18:0 / 16:0) were detected, combined with clinical indicators including weight (kg), height (cm), systolic blood pressure (mmHg), diastolic blood pressure (mmHg), Any two indicators in triglyceride, high-density lipoprotein, low-density lipoprotein, fasting blood glucose, homocysteine, and glycosylated hemoglobin, to verify the accuracy of the model results in Example 1, and draw the corresponding ROC curve Figure, the result is as follows:
[0079] "Model A" variable is R1+R28+R30+K4+K9, the result of th...
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