Theranostics 2018; 8(22):6132-6148. doi:10.7150/thno.28027
Development of a smartphone-based rapid dual fluorescent diagnostic system for the simultaneous detection of influenza A and H5 subtype in avian influenza A-infected patients
1. Zoonosis Research Center, Department of Infection Biology, School of Medicine, Wonkwang University, Iksan, 570-749, Republic of Korea
2. Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
3. National Institute of Hygiene and Epidemiology, No 1- Yersin street, Hanoi, Vietnam
4. School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 305-338, Republic of Korea
5. Department of Microbiology, Ajou University School of Medicine, and Department of Biomedical Science, Ajou University Graduate School of Medicine, Suwon 16499, Republic of Korea
6. GenBody Inc., 3-18, Eopseong 2-gil, Seobuk-gu, Cheonan, 31077, Republic of Korea
* These authors contributed equally to this work.
Accurate and rapid diagnosis of highly pathogenic avian influenza A H5N1 is of critical importance for the effective clinical management of patients. Here, we developed a rapid and simultaneous detection toolkit for influenza A H5 subtype viruses in human samples based on a bioconjugate of quantum dots (QDs) assembly and a smartphone-based rapid dual fluorescent diagnostic system (SRDFDS).
Methods: Two types of QDs were assembled on a latex bead to enhance the detection sensitivity and specificity of influenza A infection (QD580) and H5 subtype (QD650). The dual signals of influenza A and H5 subtype of H5N1-infected patients were detected simultaneously and quantified separately by SRDFDS equipped with two emission filters.
Results: Our results showed a high sensitivity of 92.86% (13/14) and 78.57% (11/14), and a specificity of 100% (38/38, P < 0.0001) and 97.37% (37/38) for influenza A and H5 subtype detection, respectively.
Conclusion: Therefore, our multiplex QD bioconjugates and SRDFDS-based influenza virus detection toolkit potentially provide accurate and meaningful diagnosis information with improved detection accuracies and sensitivities for H5N1 patients.
Keywords: smartphone-based rapid dual fluorescent diagnostic system, quantum dot, H5N1, clinical patients
Yeo SJ, Kang H, Dao TD, Cuc BT, Nguyen ATV, Tien TTT, Hang NLK, Phuong HVM, Thanh LT, Mai LQ, Rah Y, Yu K, Shin HJ, Chong CK, Choi HS, Park H. Development of a smartphone-based rapid dual fluorescent diagnostic system for the simultaneous detection of influenza A and H5 subtype in avian influenza A-infected patients. Theranostics 2018; 8(22):6132-6148. doi:10.7150/thno.28027. Available from http://www.thno.org/v08p6132.htm