Biomarker for evaluating cadmium exposure level and application thereof
A biomarker and exposure level technology, applied in the field of heavy metal poisoning detection, can solve problems such as difficulty in accurately and timely responding to cadmium exposure level
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Embodiment 1
[0050] Example 1: Biomarker Screening and Statistical Analysis
[0051] (1) Sample situation
[0052] A total of 15 people who met the national cadmium poisoning standard and 15 normal people were collected (diagnostic criteria refer to the national standard GBZ 17-2015). Age range: 40-50 years old, female, including 15 patients (front-line production workers of a battery factory) and 15 control groups (administrative staff of the battery factory), see Table 1 for details.
[0053] Table 1: Details of cadmium poisoning patient group and control group (mean values in parentheses)
[0054] Cadmium poisoning group control group quantity 15 15 gender female female age (years) 42-50(47) 40-49(45) length of service (years) 8-20(10) 5-18(7) Urinary cadmium concentration (μg / g creatinine) 12.0-26.0(17.06) 0.7-4.9(3.8) Beta-2 microglobulin (μg / g creatinine) 1129.4-3718.2(1785.71) 20.3-251.5(161.013)
[0055] (2) Metabolo...
Embodiment 2
[0069] Example 2: Urine biomarker analysis and receiver operating characteristic curve analysis of patients with cadmium poisoning
[0070] The receiver operating characteristic curve (ROC curve for short), also known as the sensitivity curve, is used to judge the quality of the classification and detection results. ROC curve is a very important and common statistical analysis method. It is a coordinate graph composed of the false positive rate (False positive rate, 1-specificity) as the horizontal axis and the true positive rate (True positive rate, sensitivity) as the vertical axis. Curves drawn with different results. The Youden Youden index was calculated for the metabolomic data of this program to reflect the overall diagnostic and predictive effect of a single index (pseuduridine). ROC curve see image 3, AUC values, specificity and sensitivity results are shown in Table 3. The area under the curve, AUC, is used to represent the accuracy. The higher the AUC value, th...
Embodiment 3
[0071] Example 3: Clinical Sample Detection, Biomarker Validation Verification, and Receiver Operating Characteristic Curve Analysis
[0072] In this example, 50 urine samples from the sample population of cadmium poisoning and 50 urine samples from the sample population of the control group were collected. Liquid chromatography-mass spectrometry was used to detect the content of pseudouridine in the samples and analyze its relationship with cadmium Correlation between poisoning. Receiver operating characteristic curve analysis (ROC curve) analysis was performed on the detection results of the urine of the 100 cases.
[0073] (1) Difference comparison of pseudouridine in different samples
[0074] According to the detection results of LC-MS, the content of pseudouridine in the sample was calculated according to the standard curve, and it was characterized by the amount (μg) of the marker contained in each mL of urine. For comparison results between the control group and the ...
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