FibroTouch-based non-alcoholic fatty liver disease rat model and manufacturing and detection methods thereof
A fatty liver disease, rat model technology, applied in the field of medical testing and testing, can solve the problems of difficulty in large-scale development, invasive operation, high cost, etc., and achieve the effect of deepening the review and comparison analysis, obvious application value, and intervening in the progress of the disease.
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Embodiment 1
[0034] S1: Sampling marking: Liver sampling is performed for each individual rat individual in the normal feeding group and the sample feeding group, and marked according to the individual number of the sample;
[0035] S2: Fibrotouch technology detection: use Fibrotouch technology to detect each liver sample, and detect LSM value and UAP value;
[0036] Further explanation, in the S1 part, with the conversion coefficient of 0.018 as the conversion unit, the test display value = the actual value of the rat / 0.018;
[0037] In step S2, LSM value 17.5kPa is defined as liver cirrhosis decompensation stage (F4 ), UAP value 295dB / m was defined as severe fatty liver (grade 3).
[0038] Detect the LSM value and UAP value of each individual rat, and generate the table as follows:
[0039]
[0040] and combine figure 2 , draw the following conclusions: According to the scatter diagram of the patient's LSM and UAP values, it is found that the scatter points of the LSM and UAP va...
Embodiment 2
[0041] In embodiment two: different from embodiment one:
[0042]S3: Biochemical index detection: perform biochemical index detection on the liver samples in S2, and the detection direction of each liver sample corresponds to the LSM value and UAP value. The biochemical index detection parameters include ALT, AST, creatinine, TC, TG, HDL- C, LDL-C, fasting blood sugar and BMI;
[0043] S4: Parameter data analysis and comparison: Combine the LSM value, UAP value and biochemical index detection parameters in S3 to create an independent table, and calculate the median value according to statistics.
[0044] Generate the following tables based on the data:
[0045]
[0046]
[0047]
[0048]
[0049] In summary: Combining the values of multiple tables, the effective rate of Fibrotouch detection and diagnosis of liver fibrosis is 87.5%, and the effective rate of detection and diagnosis of fatty liver is 92.8%, which has a high detection efficiency. By comparing the L...
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