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Nano Research

Article Title

Extraction, detection, and profiling of serum biomarkers using designed Fe3O4@SiO2@HA core–shell particles

Authors

Chandrababu Rejeeth, School of Biomedical Engineering, Shanghai Center for System Biomedicine, Shanghai Chest Hospital, and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai 200030, China
Xuechao Pang, School of Biomedical Engineering, Shanghai Center for System Biomedicine, Shanghai Chest Hospital, and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai 200030, China
Ru Zhang, School of Biomedical Engineering, Shanghai Center for System Biomedicine, Shanghai Chest Hospital, and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai 200030, China
Wei Xu, School of Biomedical Engineering, Shanghai Center for System Biomedicine, Shanghai Chest Hospital, and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai 200030, China
Xuming Sun, School of Biomedical Engineering, Shanghai Center for System Biomedicine, Shanghai Chest Hospital, and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai 200030, China
Bin Liu, School of Biomedical Engineering, Shanghai Center for System Biomedicine, Shanghai Chest Hospital, and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai 200030, China
Jiatao Lou, School of Biomedical Engineering, Shanghai Center for System Biomedicine, Shanghai Chest Hospital, and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai 200030, China
Jingjing Wan, Department of Chemistry, Shanghai University, Shanghai 200444, China
Hongchen Gu, School of Biomedical Engineering, Shanghai Center for System Biomedicine, Shanghai Chest Hospital, and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai 200030, China
Wei Yan, School of Biomedical Engineering, Shanghai Center for System Biomedicine, Shanghai Chest Hospital, and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai 200030, China
Kun Qian, School of Biomedical Engineering, Shanghai Center for System Biomedicine, Shanghai Chest Hospital, and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai 200030, China

Keywords

ligand-protein interaction, magnetic particles, serum biomarkers, cluster of differentiation-44 (CD44), sensors, mass spectrometry

Abstract

ABSTRACT Serum biomarkers in the form of proteins (e.g. cluster of differentiation-44 (CD44)) have been demonstrated to have high clinical sensitivity and specificity for disease diagnosis and prognosis. Owing to the high sample complexity and low molecular abundance in serum, the detection and profiling of biomarkers rely on efficient extraction by materials and devices, mostly using immunoassays via antibody-antigen recognition. Antibody-free approaches are promising and need to be developed for real-case applications in serum to address the limitations of antibody-based techniques in terms of robustness, expense, and throughput. In this work, we demonstrated a novel approach using hyaluronic acid (HA)-modified materials/devices for the extraction, detection, and profiling of serum biomarkers via ligand-protein interactions. We constructed Fe3O4@SiO2@HA particles with different sizes through layer-by-layer assembly and for the first time applied HA-functionalized particles in the facile extraction and sequence identification of CD44 in serum by mass spectrometry. We also first validated HA-CD44 binding through electrochemical sensing using HAmodified electrodes in both standard solutions and diluted serum samples, achieving a detection limit of ~0.6 ng/mL and a linear response range from 1 ng/mL to 10 μg/mL. Furthermore, we performed profiling of HA-binding serum proteome, providing a new preliminary benchmark for the construction of future databases, and we investigated selected surface chemistries of particles for the capture of proteins in serum. Our work not only resulted in the development of a platform technology for CD44 extraction/detection and HA-binding proteome identification, but also guided the design of ligand affinity-based approaches for antibody-free analysis of serum biomarkers towards diagnostic applications.

Graphical Abstract

Publisher

Tsinghua University Press

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