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A highly sensitive and selective impedimetric aptasensor for interleukin-17 receptor A
Hunho Jo1, Seong-Kyeong Kim1, Hyungjun Youn1
1Department of Chemistry, Pohang University of Science and Technology, 77, Cheongam-Ro, Nam-Gu, Pohang, Gyeongbuk 790-784, South Korea.
Biosensors & Bioelectronics
|February 28, 2016
Summary
A novel electrochemical biosensor detects Interleukin-17 receptor A (IL-17RA) with high sensitivity. This aptasensor offers a promising diagnostic tool for IL-17RA-related diseases.
Area of Science:
- Biomedical Engineering
- Biosensor Technology
- Analytical Chemistry
Background:
- Interleukin-17 receptor A (IL-17RA) is a key biomarker in various diseases, particularly autoimmune conditions.
- Accurate and sensitive detection of IL-17RA is crucial for disease diagnosis and management.
- Existing detection methods, such as ELISA, have limitations in sensitivity and efficiency.
Purpose of the Study:
- To develop a highly sensitive and selective electrochemical biosensor for Interleukin-17 receptor A (IL-17RA) detection.
- To utilize an aptamer-based approach for quantitative IL-17RA measurement.
- To establish a novel diagnostic platform for IL-17RA-mediated diseases.
Main Methods:
- Fabrication of an electrochemical biosensor via electrodeposition of gold nanoparticles.
- Immobilization of an IL-17RA aptamer for specific target recognition.
- Quantitative detection of IL-17RA using electrochemical impedance spectroscopy (EIS).
Main Results:
- The aptasensor demonstrated high sensitivity and selectivity for IL-17RA detection.
- Achieved a wide dynamic range (10–10,000 pg/mL) and a low detection limit (2.13 pg/mL).
- Successfully detected IL-17RA in human serum and differentiated HL-60 cells, showing clinical applicability in asthma patient neutrophils.
Conclusions:
- The developed aptasensor provides a superior analytical performance compared to conventional ELISA kits.
- This novel biosensor represents a promising diagnostic platform for IL-17RA-associated diseases.
- The aptasensor's ability to detect IL-17RA in complex biological samples highlights its clinical potential.

