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Quantitative Analysis of Hepatitis D Virus Using gRNA-Sensitive Semiconducting Polymer Dots.
Ze Zhang1,2, Yuyang Wu2, Jinglun Xu3
1Department of Hepatobiliary and Pancreatic Surgery II, General Surgery Center, The First Hospital of Jilin University, Changchun, Jilin 130012, P. R. China.
Analytical Chemistry
|January 14, 2025
Summary
Hepatitis D virus (HDV) coinfection accelerates liver disease progression. A new nanobiosensor accurately quantifies HDV gRNA, enabling earlier diagnosis and personalized treatment for hepatitis B and D virus patients.
Area of Science:
- Hepatology
- Nanotechnology
- Virology
Background:
- Hepatitis D virus (HDV) coinfection with hepatitis B virus (HBV) accelerates liver disease progression, including cirrhosis, hepatocellular carcinoma (HCC), and liver failure.
- Higher HDV viral load correlates with increased disease severity and infectivity.
Purpose of the Study:
- To develop a novel nanobiosensor for sensitive and quantitative analysis of HDV genomic RNA (gRNA) copy number variations.
- To establish a new tool for improved screening, early diagnosis, and personalized treatment strategies for HDV infections.
Main Methods:
- Engineered semiconducting polymer dots (Pdots) with a clamp design, including reporter, protection, and capture sequences specific to conserved HDV gRNA.
- Utilized a fluorescent dye (Cy5.5dt) degradation assay for gRNA detection.
- Validated the assay in a HepG2-HDV cell line and clinical patient samples.
Main Results:
- Demonstrated the nanobiosensor's effectiveness in quantifying HDV gRNA in both cell lines and clinical samples.
- Achieved femtomolar (fM) level sensitivity for HDV gRNA detection, surpassing previous methods.
- Confirmed the correlation between viral load and disease severity.
Conclusions:
- The developed HDV gRNA-sensitive nanobiosensor offers a highly sensitive and accurate method for virus quantification.
- This novel system has significant potential for clinical applications in hepatitis D diagnosis and management.
- The technology can enhance early detection and personalized treatment approaches for coinfected patients.

