Bioinformatics Analysis of Quantitative PCR and Reverse Transcription PCR in Detecting HCV RNA

(E-pub Ahead of Print)

Author(s): Wei Liu, Xiwen Jiang, Yue Liu, Qingsong Ma*.

Journal Name: Current Bioinformatics

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Abstract:

Objective: This research aimed to make comparisons of sensitivity and specificity between quantitative real time polymerase chain reaction (Q-PCR) and reverse transcription PCR (RT-PCR) in detecting the ribonucleic acid (RNA) expression levels of hepatitis C virus (HCV). Methods: 121 patients suffering from hepatitis C and 98 healthy participants with normal liver functions were identified. The venous blood collections were carried out, were subjected to detect the expression levels of HCV RNA via Q-PCR and RT-PCR. And then, the data obtained from these above two detection methods were compared, including the sensitivity and specificity. Results: In terms of Q-PCR, the positive rate of HCV RNA was 72.16%, which was significantly higher when compared with 55.26% of RT-PCR. After statistical analysis, the difference between them was statistically significant (P<0.05). Among the healthy participants, 4 cases were false positive by means of RT-PCR, there was the possibility of missed diagnosis when the samples were evaluated by Q-PCR. Conclusion: The Q-PCR detection technology performed well in testing HCV, with pretty high sensitivity and specificity. Nevertheless, the false negative results obtained from Q-PCR could not be avoided. In clinical practice, these above two detection methods should be referred to, in order to avoid missed diagnosis.

Keywords: Hepatitis C virus; Ribonucleic acid; quantitative real time polymerase chain reaction

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Article Details

(E-pub Ahead of Print)
DOI: 10.2174/1574893613666180703103328
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