Development of an indirect ELISA to detect antigens using DNA origami nanoantenna labeled specific monoclonal antibodies

Huy Quang Duong (), Khai Xuan Nguyen (), Giang Truong Ho (), Minh Ngoc Nghiem () and Thuy Thi Bich Vo ()

Journal of Asian Scientific Research, 2024, vol. 14, issue 4, 586-596

Abstract: This research examines the development of an indirect ELISA to detect antigens using DNA origami nanoantenna-labeled specific monoclonal antibodies. Hepatocellular carcinoma (HCC) is one of the five most common cancers and the second leading cause of cancer-related death worldwide. More than 60% of cases are detected in the late stage, with the absence of specific symptoms in the early stage of the disease. Adding measurements of AFP (Alpha-Fetoprotein), TXN (Thioredoxin), and DCP (Des-γ-Carboxy Prothrombin) has the potential to improve the accuracy of diagnosing hepatocellular carcinoma. DNA origami technology is revolutionizing the forefront of cancer diagnostics, particularly for HCC. In this study, an indirect enzyme-linked immunosorbent assay (ELISA) method targeting the assessment of the effectiveness of specific monoclonal antibody-conjugated DNA origami particles was developed. The results of DNA origami folding into complex nanostructures and labeled biomarkers like AFP, DCP, and TXN have explored the high specificity and sensitivity for targeting HCC. We found the cut-off values for AFP, DCP, and TXN to be 0.132, 0.156, and 0.150, respectively. The coefficients of variation for samples remained consistently under 10%, indicating the method's high degree of stability and reproducibility. This innovation, combined with biomarkers, promised in early HCC detection, holds the potential to significantly enhance patient outcomes in the fight against liver cancer. The platform also has enormous potential for advancing personalized medicine.

Keywords: Alpha-Fetoprotein; Biomarker; Des-γ-Carboxy prothrombin; DNA origami; Hepatocellular carcinoma; Indirect ELISA method; Nanotechnology; Thioredoxin. (search for similar items in EconPapers)
Date: 2024
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