Delayed Viral Clearance after 6-Week Treatment with Peginterferon Plus Ribavirin in a Patient with Chronic Hepatitis C Virus Genotype 1b

Spontaneous Clearance After Relapse Following Direct-Acting Antiviral Treatment for Chronic HCV Infection

BACKGROUND & AIMS

Direct-acting antivirals (DAAs) cure most cases of chronic hepatitis C virus (HCV) infection. However, a small percentage of patients relapse with reappearance of viremia after a full course of therapy. Although most who relapse require retreatment, some patients spontaneously clear HCV without additional therapy. We studied patients who relapsed with detectable HCV RNA after a full course of DAA therapy and then spontaneously cleared the HCV infection without retreatment.

METHODS

We performed a case-control study of patients who spontaneously cleared chronic HCV infection following a documented relapse after DAA therapy at the Toronto Centre for Liver Disease, from January 2014 through December 2017. We collected clinical information at baseline, 12 weeks after treatment, and 6 months after relapse and compared data among spontaneous clearers, patients with persistent relapse, and patients who achieved a sustained virologic response to therapy 12 weeks after treatment (SVR12). The strength and breadth of interferon gamma cytokine secretion by HCV-specific T cells from peripheral blood were quantified using the ELISPOT assay.

RESULTS

Of the 1032 individuals with chronic HCV infection who were treated with DAAs, 93 patients had a documented relapse. Of these patients, 12 patients (13%) spontaneously cleared HCV within 6 months after the documented relapse without additional therapy. The spontaneous clearers had low levels of HCV RNA (<4 log IU/mL in 11 of 12) and normal levels of alanine aminotransferase at the time of relapse, much like patients with an SVR12. There was no significant difference between the spontaneous clearance group and the SVR12 group in magnitude and breadth of HCV-specific T cell responses.

CONCLUSIONS

In a case-control study of patients who spontaneously cleared chronic HCV infection following a relapse after DAA therapy, we found that it is important to confirm viremia prior to retreatment after the relapse-particularly for individuals with low levels of HCV RNA and normal or near-normal levels of alanine aminotransferase after treatment.

Modeling how reversal of immune exhaustion elicits cure of chronic hepatitis C after the end of treatment with direct-acting antiviral agents

A fraction of chronic hepatitis C patients treated with direct‐acting antivirals (DAAs) achieved sustained virological responses (SVR), or cure, despite having detectable viremia at the end of treatment (EOT). This observation, termed EOT⁺/SVR, remains puzzling and precludes rational optimization of treatment durations. One hypothesis to explain EOT⁺/SVR, the immunologic hypothesis, argues that the viral decline induced by DAAs during treatment reverses the exhaustion of cytotoxic T lymphocytes (CTLs), which then clear the infection after treatment. Whether the hypothesis is consistent with data of viral load changes in patients who experienced EOT⁺/SVR is unknown. Here, we constructed a mathematical model of viral kinetics incorporating the immunologic hypothesis and compared its predictions with patient data. We found the predictions to be in quantitative agreement with patient data. Using the model, we unraveled an underlying bistability that gives rise to EOT⁺/SVR and presents a new avenue to optimize treatment durations. Infected cells trigger both activation and exhaustion of CTLs. CTLs in turn kill infected cells. Due to these competing interactions, two stable steady states, chronic infection and viral clearance, emerge, separated by an unstable steady state with intermediate viremia. When treatment during chronic infection drives viremia sufficiently below the unstable state, spontaneous viral clearance results post‐treatment, marking EOT⁺/SVR. The duration to achieve this desired reduction in viremia defines the minimum treatment duration required for ensuring SVR, which our model can quantify. Estimating parameters defining the CTL response of individuals to HCV infection would enable the application of our model to personalize treatment durations.