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To determine the effect of highly active antiretroviral therapy (HAART) on high-risk human papillomavirus (HR-HPV) infections and related cervical lesions, the virologic and cytologic markers of HPV infection were prospectively studied in 163 human immunodeficiency virus (HIV)‐infected women, including 27 untreated, 62 treated with reverse transcriptase inhibitors, and 74 treated with HAART. A high prevalence of both infections with HR-HPV types (68%) and squamous intraepithelial lesions (SILs; low grade, 20.2%; high grade, 6.2%) was observed. The risks of infection and disease were inversely correlated with CD4 cell counts (P p .015 and , respectively). During the observation period (mean, 15.4 months; range, 6‐24 P p .022 months), CD4 cell counts increased significantly only in subjects receiving HAART (P ! ). Persistence of HR-HPV infection and progression of SILs were comparable in the 3 .001 groups. These results indicate that, even in the era of HAART, HIV-infected women should be monitored carefully for the emergence of high-grade SILs and cervical cancer.

Background. GB virus C, a positive-stranded RNA virus, is classified in the family Flaviviridae. It is currently believed that persistent infection occurs in 25-50% of infected individuals, however, it still remains an "orphan" virus in search of a role in human pathology. Molecular epidemiological studies have demonstrated that GBV-C infection is present in about 1-1.4% of the healthy population in developed countries, that it shares routes of transmission with HIV and HCV and that the prevalence of GBV-C in these populations is higher than in blood donors. On the basis of the sequence variation among the isolates, GBV-C is classified into at least four major genotypes. Preliminary evidence has suggested that GBV-C is a lymphotropic virus that replicates mainly in the spleen and bone marrow. Recently, several reports have investigated the possible beneficial effect of GBV-C co-infection on HIV disease progression to AIDS, reduced mortality in HIV infected individuals and lower HIV viral loads, not leading to a definitive conclusion yet. Aim. To investigate the role of GBV virus C co-infection in two different subsets of HIV-infected patients, and to evaluate the prevalence of GBV-C genotypes in Northern Italy. Methods. A total of 86 HIV positive patients were examined for GBV-C viremia (years after HIV sera conversion: 12 +/- 5). Control population (Group A): 46 patients (mean age 42 years) with 500 CD4/ml for at least 8 years and never treated with HAART. After extraction of viral RNA from plasma samples, amplification of a highly conserved region of 5'UTR was performed by nested RT-PCR. All positive samples were genotyped by sequencing, alignment with published sequences and phylogenetic analysis. CD4 cell count, HIV plasma levels were also evaluated. Results. 9 out of 46 (19.56%) in Group A and 15 out of 40 (37.5%) in Group B had detectable GBV-C viremia (p=0.064, OR 2.47, percent confidence interval 0.94 to 6.51). No statistical difference was observed when disease stage was evaluated between the two groups. In Group B, after regression analysis for CD4 cell count decrease over the period observed, no significant difference was detected between GBV-C positive and negative patients. No significant difference was observed in Group B in HIV viremia and CD4 cell count at time of GBV-C detection between GBV-C infected patients and GBV-C negative patients. All Italian patients were genotype 2, the only African patient carried GBV-C genotype 1. Conclusions. Although previous results suggest that GBV-C virus may be a favorable marker for long term non progression of HIV disease, whether it plays a direct anti-HIV role or just takes advantage of non progessors' higher CD4 cell count to replicate more efficiently, still remains to be answered. Follow up of untreated patients and further evaluation of virological interactions, between the viruses and the host immune system, will be helpful to shed some light on these observations, offering new prognostic and eventually therapeutical tools for the management of HIV patients.

Genotypic testing includes several steps (RNA purification, RT-PCR amplification, DNA sequencing, sequence editing and analysis) that should be individually controlled. In our laboratory, we have added to this step-by-step internal control a final phylogenetic quality control: this is performed every time a sequence is obtained from a patient previously subjected to the same test. Each sequence with this characteristic is routinely compared with sequences from previous samples of the same patient by multiple alignment and a neighbor-joining tree by using Kimura two-parameter method is constructed. To validate the quality control procedure, we have aligned and calculated the mean similarity of the reverse transcriptase (first 984 nucleotides) and protease (whole gene) sequences from 30 patients whose virus was completely wild-type for both reverse transcriptase and protease. In the same tree, we have added the sequences obtained from 5 out of the 30 patients, tested at a second time point. The wild type sequences have shown a mean inter-sample divergence of 2.9%, and all the sequence pairs from individual patients clustered together in the tree constructed with the nucleotide sequences, while the tree constructed with the inferred aminoacid sequences did not always permit to cluster the sequences from the same patients. This indicates that: 1) the phylogenetic analysis of nucleic acid sequences can be useful to rule out sample mix-up; 2) the belonging of a sequence to each individual patient can efficiently be assessed also in the cases of extreme divergence in terms of drug resistance mutations.