Virologic therapy response significantly correlates with the number of active drugs as evaluated using a LiPA HIV-1 resistance scoring system.

BACKGROUND: Resistance testing is increasingly accepted as a tool in guiding the selection of human immunodeficiency virus type 1 (HIV-1) antiretroviral therapy in HIV-1 infected individuals who fail their current regimen. OBJECTIVES: To descriptively compare the correlation between virologic treatment response and results using three genotypic HIV-1 drug resistance interpretation systems: the VERSANT HIV-1 Resistance Assay (LiPA) system and two sequence-based interpretation systems. STUDY DESIGN: Specimens from 213 HIV-1-infected subjects, either starting (n=104) or switching to (n=109) a regimen of three or four antiretroviral drugs, were collected retrospectively at baseline and after 3 months of uninterrupted therapy. The correlation between viral load change and the number of predicted active drugs in the treatment regimen was assessed. An interpretation algorithm was recently developed to process VERSANT HIV-1 Resistance Assay (LiPA) data. The number of active drugs predicted using this algorithm was rank correlated with the viral load change over a 3-month treatment period. For comparison, a similar calculation was made using two sequence-based algorithms (REGA version 5.5 and VGI GuideLines Rules 4.0), both applied on the same sequences. RESULTS: Statistically significant (p<0.05) correlation coefficients for each of the three HIV-1 drug resistance interpretation systems were observed in the treatment-experienced subjects on a 3-drug regimen (-0.39, -0.38, and -0.42, respectively) as well as on a 4-drug regimen (-0.33, -0.31, and -0.37, respectively). However, no significant correlation was observed in treatment-naive subjects, probably due to the very low frequency of drug resistance in these subjects. CONCLUSION: All three genotypic drug resistance interpretation systems (LiPA version 1, REGA version 5.5, and VGI GuideLines Rules 4.0) were statistically significantly correlated with virologic therapy response as measured by viral load testing.

Performance characteristics of updated INNO-LiPA assays for molecular typing of human leukocyte antigen A (HLA-A), HLA-B, and HLA-DQB1 alleles.

We carried out a multicenter performance evaluation of three new DNA-based human leukocyte antigen (HLA) typing assays: INNO-LiPA HLA-A Update, INNO-LiPA HLA-B Update, and INNO-LiPA HLA-DQB1 Update. After optimization, the accuracy rates were all 100%, and the final observed resolutions were 99.4, 92.4, and 85.6%, respectively. These rapid and easy-to-perform assays yielded results fully concordant with other DNA-based tissue typing tests.

Kinetics of disappearance of resistance mutations and reappearance of wild-type during structured treatment interruptions.

OBJECTIVE: To monitor the disappearance of resistance-associated mutations and reappearance of wild-type (WT) virus during structured treatment interruptions (STI) using DNA sequencing and line probe assay. METHODS: Eleven HIV-1-infected patients participating in the MUTAVIR study undergoing a 3-month STI after multi-HAART failure were monitored biweekly. Genotypes were assessed by sequencing and VERSANT HIV-1 Resistance Assays (LiPA). RESULTS: At treatment interruption, 54 mutations in total were identified with both methods among the patients. LiPA provided a result for 93.3% of the codons at baseline. For 37 mutations, a complete reversion of mutant to WT was observed with one of the two methods. Among these, LiPA detected mutations in 23 codons for 7 to 52 days longer, in 10 codons for the same period, and in four codons for a shorter time than sequencing. Similarly, LiPA detected 35 WT codons 8 to 86 days earlier, and 15 at the same time point as sequencing. A sharp reduction in the number of mutations was observed at the time of viral load increase in five of the 11 patients. Taking only the codons detected by LiPA into consideration, two patients showed a complete reversion to WT according to both genotyping assays at the end of the STI period. CONCLUSIONS: The determination of the timepoint at which a virus population of an HIV-1 patient undergoing STI reverts to WT is dependent on the assay used. The viral load increase in most patients is compatible with the outgrowth of virus with fewer or no mutations.