Clinical application of estimating hepatitis b virus quasispecies complexity by massive sequencing: Correlation between natural evolution and on-treatment evolution

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Abstract

Aim: To evaluate HBV quasispecies (QA) complexity in the preCore/Core regions in relation to HBeAg status, and explore QA changes under natural evolution and nucleoside analogue (NUC) treatment. Copyright: Methods: Ultra-deep pyrosequencing of HBV preCore/Core regions in 30 sequential samples (baseline [diagnosis], treatment-free, and treatment-nonresponse) from 10 retrospectively selected patients grouped according to HBeAg status over time: HBeAg+ (N = 4), HBeAg-(N = 2), and fluctuating HBeAg (transient seroreversion/seroconversion pattern) (N = 4). QA complexity was defined by Shannon entropy, mutation frequency, nucleotide diversity, and mutation frequency of amino acids (MfAA) in preCore and Core. Results: The QA was less complex in HBeAg+ than in HBeAg-or fluctuating HBeAg. High complexity in preCore was associated with decreased viral replication (preCore MfAA negatively correlated with HBV-DNA, p = 0.005). QA complexity in the treatment-free period negatively correlated with values seen during treatment. Specific variants were mainly selected in the Core region in HBeAg-and fluctuating HBeAg patients, suggesting higher immune pressure than in HBeAg+. Conclusions: The negative correlation between QA natural evolution and on-treatment evolution indicates the importance of pre-treatment QA study to predict QA changes in NUC nonresponders. Study of QA complexity could be useful for managing HBV infection.

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Homs, M., Caballero, A., Gregori, J., Tabernero, D., Quer, J., Nieto, L., … Rodriguez-Frias, F. (2014). Clinical application of estimating hepatitis b virus quasispecies complexity by massive sequencing: Correlation between natural evolution and on-treatment evolution. PLoS ONE, 9(11). https://doi.org/10.1371/journal.pone.0112306

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