In their response to my Review article (25 years of interferon-based treatment of chronic hepatitis C: an epoch coming to an end. Nature Rev. Immunol. 13, 535–542 (2013))1, Jae Il Shin and Michael Eisenhut (miR-122, IL28B genotype and the response to interferon in chronic hepatitis C virus infection. Nature Rev. Immunol. (2013))2 highlight a possible link between the microRNA miR-122, the interleukin-28B (IL28B; also known as IFNL3) genotype and the response to interferon-α (IFNα) treatment in patients with chronic hepatitis C virus infection.

Indeed, we previously reported the association between miR-122 expression and the response to treatment3, which was recently confirmed by Su et al.4. Patients with normal miR-122 expression levels are significantly more likely to have a sustained virological response to treatment with pegylated IFNα and ribavirin, whereas low miR-122 expression levels are associated with no virological response3. As described in detail in the recent Review article1, several groups have reported that patients with induced expression of IFN-stimulated genes (ISGs) in the liver, as measured in pretreatment biopsy samples, are poor responders to pegylated IFNα and ribavirin5,6,7. The link between high ISG expression and low miR-122 expression has been elusive, but the recent paper by Hao et al.8 showing that miR-122 could be sequestered by binding to the 3′ untranslated region of the mRNA encoding cytosolic 5′ nucleotidase 3 (NT5C3), a classical ISG, indeed provides a potential explanation that should be explored more quantitatively in human liver biopsy samples.

Also, several groups have reported a significant association between the IL28B genotype and the expression of ISGs in liver biopsy samples taken before treatment9,10,11. However, the molecular mechanisms that are responsible for ISG induction in patients with minor alleles of the IL28B gene locus are unknown.

Taken together, the significant associations between IL28B genotype, hepatic ISG expression and hepatic miR-122 expression are now firmly established. However, the molecular mechanisms underlying these statistical associations remain to be uncovered, and they continue to be a central question and formidable challenge in this research field.