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Published on: March 29, 2018
C-Reactive protein-directed immobilization of phosphocholine ligands on a solid surface
Eunjoo Kim1, Hyun-Chul Kim, Se Geun Lee
1Nano & Bio Research Division, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 711-873, Korea.
Summary
A novel molecularly imprinted polymer (MIP) was developed for C-reactive protein (CRP) detection. This CRP-binding MIP shows high affinity, enabling sensitive human serum CRP determination via immunoassay.
Area of Science:
- Biomaterials Science
- Analytical Chemistry
- Immunochemistry
Background:
- C-reactive protein (CRP) is a key biomarker for inflammation and cardiovascular disease.
- Current CRP detection methods often require specific antibodies, which can be costly and have limited stability.
- Developing alternative, cost-effective, and stable recognition elements for CRP is crucial for widespread diagnostic applications.
Purpose of the Study:
- To synthesize and characterize a molecularly imprinted polymer (MIP) capable of specifically binding C-reactive protein (CRP).
- To evaluate the binding affinity of the developed MIP for CRP.
- To demonstrate the utility of the MIP in a sandwich immunoassay for quantifying CRP in human serum samples.
Main Methods:
- Polymerization of phosphocholine ligands complexed with CRP at the styrene-water interface to create MIPs.
- Binding affinity assessment of the MIP for CRP compared to anti-CRP antibodies.
- Development and validation of a MIP-based sandwich immunoassay for human serum CRP determination.
Main Results:
- The synthesized MIP successfully recognized and bound CRP.
- The CRP-binding affinity of the MIP was found to be comparable to that of immobilized anti-CRP antibodies.
- The MIP-based sandwich immunoassay demonstrated effective determination of CRP in human serum.
Conclusions:
- Molecularly imprinted polymers offer a promising antibody-free alternative for CRP recognition.
- The developed MIP-based immunoassay provides a sensitive and reliable method for CRP quantification.
- This approach has potential for developing robust and cost-effective diagnostic tools for inflammatory markers.

