S. Mihm et al., Ratio of serum gamma-GT/ALT rather than ISDR variability is predictive forinitial virological response to IFN-alpha in chronic HCV infection, J MED VIROL, 58(3), 1999, pp. 227-234
Chronic hepatitis C virus (HCV) infection in humans is treated at present w
ith interferon (IFN)cu. Because the proportion of patients responding to th
erapy with sustained or even just with transient elimination of viral RNA i
s low, several potential prognostic parameters have been evaluated to predi
ct the outcome of the therapy. The present study aimed to prove the validit
y of a predictive parameter described previously for initial virological re
sponse, namely the ratio of serum gamma-glutamyltransferase/aranine transam
inase (gamma-GT/ALT) activity in connection with virus genotypes la, Ib, an
d 3a, prospectively and to compare the predictive value of these combined p
arameters with amino acid variability within the interferon sensitivity det
ermining region (ISDR). The prospective analysis confirmed previous data on
the predictive value of the serum gamma-GT/ALT ratio. Concerning ISDR vari
ability, the majority of ISDR sequences obtained from the mostly nonrespond
ing type Ib-infected individuals (23/28) resembled nonmutant types (27/28).
Isolates from type 3a-infected patients responding to therapy in the major
ity of cases (13/20) exclusively resembled nonmutant types when compared wi
th databank type 3a sequences, but were mutant when compared with the proto
type sequence HCV-J. However, the initial virological responsiveness among
both type 1b- and type Ba-infected patients did not correlate to ISDR varia
bility. In contrast, virological responsiveness was closely related to seru
m gamma-GT/ALT ratio. The data are not necessarily contrary to the concept
that the number of amino acid exchanges within the ISDR compared with the p
rototype HCV-J sequence is related to some extent to IFN-a sensitivity. The
ratio of serum gamma-GT/ALT in combination with HCV genotype, however, was
found to be a more reliable and stringent predictive parameter. (C) 1999 W
iley-Liss, Inc.