Simoa technology is changing the way in which the biology of health and disease is studied by giving researchers the ability to closely examine critical biomarkers.
Automated microscopy and Spatial Proteomics
Automated microscopy and image analysis
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Ninety-three urine–serum pairs in the target group and 10 urine–serum pairs in the control group were measured. The mean absolute concentration ± standard deviation in urine of the target and control groups were 184.7 ± 362.4 pg/ml and 27.3 ± 24.1 pg/ml for GFAP (r =0.3 [Wilcoxon effect size], p =0.007), 17.5 ±38.6 pg/ml and 0.9 ±0.3 pg/ml for NfL (r =0.4, p <0.005), 320.2 ±443.3 pg/ml and 109.6 ±116.8 pg/ml for UCH-L1 (r =0.26, p =0.014), and 219.5 ± 255.8 pg/ml and 21.1 ± 27.1 pg/ml for t-tau (r =0.37, p <0.005), respectively, whereas biomarker–creatinine ratio was significantly different only for NfL (r =0.29, p =0.015) and t-tau (r =0.32, p <0.01). In patients with intact glomerular barrier (ACR < 30mg/g), only NfL in urine was significantly different between the target and control group and showed a significant correlation with the respective serum concentrations (r =0.58 [Pearson’s correlation-coefficient], p <0.005).
All four investigated biomarkers could be measured in urine, with NfL and t-tau showing the strongest effect size after correction for urine dilution. NfL revealed the most accurate relation between serum and urine concentrations in patients with intact kidney function.
Related technologies: Digital biomarker detection
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Simoa technology is changing the way in which the biology of health and disease is studied by giving researchers the ability to closely examine critical biomarkers.
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