Application of combined metabolic marker for screening diabetes mellitus and kit of combined metabolic marker
A technology of markers and diabetes, which is applied in the field of kits for detecting and screening diabetic patients in the test population, and can solve the problems of rapid screening of diabetic populations and other problems
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Embodiment 1
[0049] 1. Serum Sample Collection
[0050] All volunteers included in the study signed an informed consent form before blood sample collection. A batch of serum samples were collected under the same conditions as a test set, including fasting serum samples from 65 healthy people and 221 diabetic patients (among them, 113 cases of prediabetes and 108 cases of diabetes), which were stored in a -80°C refrigerator for future testing.
[0051] 2. Analysis method
[0052] 2.1 Serum sample pretreatment:
[0053] Serum was thawed at 4°C, 50 μL of serum samples were taken and added to a 1.5 mL Eppendorf tube, and 200 μL of methanol extract containing internal standard (containing internal standard concentrations of 0.19 μg / mL hippuric acid-D5, 1.56 μg / mL glutamine-D5, 0.47μg / mL phenylalanine-D5, 0.31μg / mL choline-D4), vortex for 30s to mix evenly, and precipitate protein. The protein was removed by centrifuge filtration (14000 rpm for 15 min). After centrifugation, 200 μL of the su...
Embodiment 2
[0068] 1. Serum sample collection,
[0069] All volunteers included in the study signed an informed consent form before blood sample collection. The second batch of serum samples was collected under the same conditions as a validation set, including fasting serum samples from 31 healthy people and 117 diabetic patients (including 58 prediabetics and 59 diabetics), which were stored in a -80°C refrigerator for future testing.
[0070] 2. Analysis method
[0071] Same as Example 1
[0072]3. Serum test results and auxiliary diagnostic methods
[0073] The results of the verification set of Example 2 are consistent with the results of the test set of Example 1. The validation set results are as image 3 Shown, adopt the binary logistic regression equation P1 and P2 that test set constructs among the embodiment 1, the quantitative concentration of galactose, 1,5-sorbitol, N-acetylglucosamine, 2-hydroxybutyric acid ( μg / mL) and the concentration of fasting blood glucose (mmol / ...
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