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Maurizio Zazzi

Publications and source records attributed to Maurizio Zazzi.

17 recordsLinked to original sources

Frequency and treatment-related predictors of thymidine-analogue mutation patterns in HIV-1 isolates after unsuccessful antiretroviral therapy.

We investigated, in patients tested between 1991 and 2004, the patterns of mutually exclusive human immunodeficiency virus-1 thymidine-analogue mutations (TAMs) in 4039 reverse-transcriptase sequences with > or = 1 TAM. TAM pattern 1, which included M41L and L210W and excluded K70R and is coupled with more-extensive cross-resistance to drugs, became the most frequent pattern after 1996. In 1465 genotypes from 684 patients in whom highly active antiretroviral therapy (HAART) was unsuccessful, predictors of this pattern were the number of previous HAART regimens undergone (adjusted odds ratio [OR], 1.09 [95% confidence interval {CI}, 1.02-1.16]), use of stavudine/lamivudine (adjusted OR, 1.42 [95% CI, 1.05-1.99]), use of nevirapine (adjusted OR, 1.60 [95% CI, 1.14-2.24]), use of efavirenz (adjusted OR, 1.56 [95% CI, 1.08-2.27]), and use of ritonavir (adjusted OR, 1.35 [95% CI, 1.04-1.75]).

Anti-HIV Agents↗

Prevalence of skin allograft discards as a result of serological and molecular microbiological screening in a regional skin bank in Italy.

BACKGROUND: Postmortem skin is widely used in the treatment of patients with severe burns. Skin specimens must be screened for transmissible agents including human immunodeficiency virus (HIV), hepatitis B (HBV) and C (HCV) virus, human T-cell lymphotropic virus (HTLV), cytomegalovirus (CMV) and Treponema pallidum. METHODS: Four hundred and sixty-one cadaveric donors underwent serological and molecular microbiological (polymerase chain reaction, PCR) screening at Siena Skin Bank between 2000 and 2004. RESULTS: 74/461 donors (16.1%) were found ineligible under current regulations. CONCLUSIONS: These results are interesting in a local context and underline the importance of screening involving both routine serological procedures and molecular microbiological investigation. The latter has not been uniformly introduced in many countries and very limited data is available to assess its cost-benefit ratio in the field of skin donor screening.

Cadaver↗

A child with vestibular neuritis. is adenovirus implicated?

Vertigo in children is relatively under examined in the literature. Among its causes, vestibular neuritis (VN) represents only 2% of cases, with its etiology remaining unknown. We report for the first time a 4-year-old boy with vestibular neuritis and serological results compatible with adenoviral infection. Serological diagnosis was performed on the basis of a rise and consequent normalization of complement fixation (CF) titers of the plasma antibodies. Although we were not able to detect exactly when the infection started, we were able to detect an increased level of adenovirus antibodies by CF titers, followed by a decrease (i.e. 1/16, then 1/8, then <1/4) during the recovery. This is typical of a resolving infection. Furthermore, that this increase in antibodies was specific to an adenovirus infection was suggested by the observation that we did not detect increases in antibodies to other common viruses (i.e. herpes simplex and zoster viruses, Epstein-Barr virus, cytomegalovirus, influenza and parainfluenza viruses). This allows us to exclude the chance of nonspecific antibody activation. We concluded that, although our data do not formally demonstrate an involvement of adenovirus in VN, they suggest such an involvement. This may be of interest, given that a viral etiology for VN has been proposed but not definitively proven.

Adenoviridae↗

The calculated genetic barrier for antiretroviral drug resistance substitutions is largely similar for different HIV-1 subtypes.

BACKGROUND: The genetic barrier, defined as the number of mutations required to overcome drug-selective pressure, is an important factor for the development of HIV drug resistance. Because of high variability between subtypes, particular HIV-1 subtypes could have different genetic barriers for drug resistance substitutions. This study compared the genetic barrier between subtypes using some 2000 HIV-1 sequences (>600 of non-B subtype) isolated from anti-retroviral-naive patients in Europe. METHODS: The genetic barrier was calculated as the sum of transitions (scored as 1) and/or transversions (2.5) required for evolution to any major drug resistance substitution. In addition, the number of minor protease substitutions was determined for every subtype. RESULTS: Few dissimilarities were found. An increased genetic barrier was calculated for I82A (subtypes C and G), V108I (subtype G), V118I (subtype G), Q151M (subtypes D and F), L210W (subtypes C, F, G, and CRF02_AG), and P225H (subtype A) (P < 0.001 compared with subtype B). A decreased genetic barrier was found for I82T (subtypes C and G) and V106M (subtype C) (P < 0.001 vs subtype B). Conversely, minor protease substitutions differed extensively between subtypes. CONCLUSIONS: Based on the calculated genetic barrier, the rate of drug resistance development may be similar for different HIV-1 subtypes. Because of differences in minor protease substitutions, protease inhibitor resistance could be enhanced in particular subtypes once the relevant major substitutions are selected.

Adult↗

Evidence of differential selection of HIV-1 variants carrying drug-resistant mutations in seroconverters.

OBJECTIVES: To estimate the relative efficiency of transmission of different HIV-1 drug-resistance mutations from patients failing treatment, considered as potential transmitters (PTs), to seroconverters (SCs). DESIGN: Ecological cross-sectional study. METHODS: HIV-1 protease and reverse transcriptase (RT) sequence data, obtained from 155 SCs and 2,690 PTs at the Department of Molecular Biology of the University of Siena, Italy, in the period 1997-2004 were used. The efficiency of transmission was studied by odds ratio (OR) analysis and evaluation of 95% confidence intervals (95% CIs). For mutations not detected in viruses from SCs, a binomial probability model was used, assuming P-values <0.05 as indicative of a negative selection at transmission. RESULTS: The overall prevalence of drug mutations associated with nucleoside reverse transcriptase inhibitors (NRTIs), non-NRTIs (NNRTIs) and protease inhibitors (PIs) was 13.2%, 4.6% and 2.0% in SCs, and 69.9%, 27.6% and 33.7% in PTs, respectively. Among RT mutations present both in PTs and SCs, M1841/V and T215F/Y had the lowest relative efficiency of transmission, whereas V1181, Y181C/I and K219E/Q showed the highest relative efficiency. Of the three major protease mutations that could be evaluated by this approach, M46l/L had a lower rate of transmission than 184V and L90M. Among the mutations not detected in viruses from SCs, the RT E44D, V1081, Q151M and Y188C/H/L, and the protease D30N, G48V and V82A/F/S/T substitutions appeared to be negatively selected. CONCLUSIONS: The transmission rate of drug-resistant HIV-1 variants may be differentially affected by the mutational pattern. The binomial model enabled to evaluate the negative selection against specific substitutions. Given the low prevalence of some resistance mutations in SCs, very large data sets are required to evaluate the potential selection of such mutations.

Anti-HIV Agents↗

Prevalence of drug-resistant HIV-1 variants in untreated individuals in Europe: implications for clinical management.

BACKGROUND: Infection with drug-resistant human immunodeficiency virus type 1 (HIV-1) can impair the response to combination therapy. Widespread transmission of drug-resistant variants has the disturbing potential of limiting future therapy options and affecting the efficacy of postexposure prophylaxis. METHODS: We determined the baseline rate of drug resistance in 2208 therapy-naive patients recently and chronically infected with HIV-1 from 19 European countries during 1996-2002. RESULTS: In Europe, 1 of 10 antiretroviral-naive patients carried viruses with > or = 1 drug-resistance mutation. Recently infected patients harbored resistant variants more often than did chronically infected patients (13.5% vs. 8.7%; P=.006). Non-B viruses (30%) less frequently carried resistance mutations than did subtype B viruses (4.8% vs. 12.9%; P<.01). Baseline resistance increased over time in newly diagnosed cases of non-B infection: from 2.0% (1/49) in 1996-1998 to 8.2% (16/194) in 2000-2001. CONCLUSIONS: Drug-resistant variants are frequently present in both recently and chronically infected therapy-naive patients. Drug-resistant variants are most commonly seen in patients infected with subtype B virus, probably because of longer exposure of these viruses to drugs. However, an increase in baseline resistance in non-B viruses is observed. These data argue for testing all drug-naive patients and are of relevance when guidelines for management of postexposure prophylaxis and first-line therapy are updated.

Adult↗

Gln145Met/Leu changes in human immunodeficiency virus type 1 reverse transcriptase confer resistance to nucleoside and nonnucleoside analogs and impair virus replication.

The frequencies of multidrug resistance-associated mutations at codons 145, 151, and 69 of the human immunodeficiency virus (HIV) reverse transcriptase (RT) gene in strains from a group of 3,595 highly active antiretroviral therapy (HAART)-experienced patients were 0.22, 2.36, and 0.86%, respectively. Several amino acid substitutions different from the recently reported Gln145Met change (S. Paolucci, F. Baldanti, M. Tinelli, G. Maga, and G. Gerna, AIDS 17:924-927, 2003) were detected at position 145. Thus, amino acid substitutions selected at position 145 were introduced into the wild-type HIV type 1 (HIV-1) RT gene by site-directed mutagenesis, and recombinant HIV strains were assayed for their drug susceptibilities. Only Met and Leu substitutions at position 145 of the HIV-1 RT conferred multidrug resistance, while other amino acid changes did not. Lower levels of replication of the Gln145Met recombinant strain compared with those of both Gln151Met and wild-type recombinant strains were observed. In in vitro inhibition assays, expression and purification of the recombinant Gln145Met HIV-1 RT revealed a strong loss of catalytic efficiency of the mutated enzyme, as well as significant resistance to both zidovudine and efavirenz. Specific amino acid substitutions in the HIV RT nucleotide-binding pocket might affect both antiretroviral drug recognition and binding and decrease the level of virus replication, possibly by interfering with the enzyme activity. This finding may explain the lower frequency of Gln145Met/Leu mutations observed compared with the frequencies of Gln151Met/Leu mutations and the insertion at position 69 in HAART-experienced patients.

Amino Acid Substitution↗

Clinically validated genotype analysis: guiding principles and statistical concerns.

Whereas previously the output of HIV resistance tests has been based on therapeutically arbitrary criteria, there is now an ongoing move towards correlating test interpretation with virological outcomes on treatment. This approach is undeniably superior, in principle, for tests intended to guide drug choices. However the predictive accuracy of a given stratagem that links genotype or phenotype to drug response is strongly influenced by the study design, data capture and analytical methodology used to derive it. For genotyping, the most widely used resistance tool in clinical practice, these considerations are further complicated by the range of mutational patterns present in the treated population. There is no definitively superior methodology for generating a genotype-response association for use in interpreting a resistance test, and the various approaches used to date all have their strengths and weaknesses. This review discusses the processes involved in constructing such tools, with particular emphasis on establishing validated mutation score rules, and examines the key issues and confounding factors that influence predictive accuracy outside the originating dataset. Since the size of the sample is a key influence on the statistical power to determine an effect, it is hoped that a greater understanding of the influence of study design and methodology will assist the development of standardized outcome measures and reporting formats that allow data pooling at the international level.

Anti-HIV Agents↗

Comparative evaluation of three computerized algorithms for prediction of antiretroviral susceptibility from HIV type 1 genotype.

OBJECTIVES: To compare three methods for using HIV-1 genotype to predict antiretroviral drug susceptibility. METHODS: We applied three genotypic interpretation algorithms to 478 reverse transcriptase (RT) and 410 protease sequences for which phenotypic data were available. Sequences were obtained from clinical practice and from published sequences in the Stanford HIV-1 RT and Protease Sequence Database. The genotypic interpretation algorithms included: Stanford HIVdb program (HIVdb), the Visible Genetics/Bayer Diagnostics Guidelines 6.0 (VGI) and a genotypic interpretation program (AntiRetroScan, ARS) developed at the University of Siena, Italy. Genotypic interpretations were normalized to a three-level output: susceptible, intermediate and resistant. Discordances were defined as differences between genotype and phenotype for the same virus isolate. Discordances for which an isolate was considered susceptible by one test but resistant by another test were considered major discordances. RESULTS: The frequency of major discordances between genotype and phenotype was 10.6, 13.7 and 15.7% for ARS, VGI and HIVdb, respectively (P < 0.0001 for ARS versus HIVdb and for ARS versus VGI; P = 0.002 for VGI versus HIVdb). The correlation between genotype and phenotype was highest for non-nucleoside RT inhibitors and lowest for nucleoside RT inhibitors. Half of the major discordances involved stavudine, didanosine and zalcitabine. The concordance among the three genotypic algorithms was high, with weighted Kappa values ranging between 0.76 and 0.84 for the pairwise comparisons between each of the algorithms. CONCLUSIONS: Genotype interpretation algorithms correctly predict phenotype in 85-90% of cases, but the rate of concordance is not uniformly distributed among different drugs. These data provide insight into the potential additional benefit derived from phenotyping.

Algorithms↗

Immunological recovery despite virological failure is independent of human immunodeficiency virus-type 1 resistant mutants in children receiving highly active antiretroviral therapy.

Relationships between human immunodeficiency virus-type-1 (HIV-1) drug-resistant mutants and immunological recovery were investigated after 12-week antiretroviral therapy in 43 children infected perinatally with virological failure. Twenty-two children received highly active antiretroviral therapy (HAART) and 21 received double therapy with reverse transcriptase inhibitors. At baseline, no difference in reverse transcriptase or protease inhibitors resistant mutants was present among the groups. After 12 weeks, the two groups were similar regarding proportion of children with reverse transcriptase resistant mutants. Sixteen (73%) HAART-treated children, but no child receiving double therapy had HIV-1 with primary resistance mutations to protease inhibitors. Secondary protease mutations were found in all HAART-treated and in 17/21 (81%) children receiving double therapy. The mutation numbers in reverse transcriptase or protease genes were significantly higher after HAART than after double therapy. Nevertheless, 12 (55%) of HAART-treated children (but no child receiving double therapy) showed immunological recovery. The frequency and number of mutations were similar in HAART-treated children with or without immunological recovery both at baseline and after 12 weeks. The findings suggest, immunological recovery notwithstanding, virological failure is independent of drug-resistant mutations and consequent possible changes in viral fitness.

Adolescent↗

Broad nucleoside-analogue resistance implications for human immunodeficiency virus type 1 reverse-transcriptase mutations at codons 44 and 118.

Two large, independent human immunodeficiency virus type 1 resistance databases containing >7700 reverse-transcriptase (RT) sequences were used to analyze the epidemiology of amino acid substitutions at codons 44 and 118, which confer moderate lamivudine resistance in the presence of zidovudine resistance. As expected, E44A/D and V118I mutations were strongly associated with M41L, D67N, L210W, and T215Y but also with other mutations, including K43E/N/Q, T69D, V75M, H208Y, R211K, and K219R. Both E44D and V118I were more frequently associated with stavudine and didanosine than with zidovudine and lamivudine treatment. However, selection of E44A/D and V118I was also detected in association with a switch to other nucleoside RT inhibitors, including zalcitabine and abacavir. Site-directed mutagenesis confirmed that 44D and 118I can decrease phenotypic susceptibility not only to lamivudine but also to most other nucleoside analogues, particularly stavudine and abacavir. Thus, substitutions at RT codons 44 and 118 have broad implications in nucleoside RT inhibitor resistance in the setting of several nucleoside-associated mutations.

Amino Acid Substitution↗

Development and significance of resistance to protease inhibitors in HIV-1-infected adults under triple-drug therapy in clinical practice.

Development of drug resistance is considered a major cause for failure of antiretroviral therapy in human immunodeficiency virus type 1 (HIV-1)-infected patients adherent to treatment. However, the rate of emergence and the significance of HIV-1 drug resistance in clinical practice have been not investigated thoroughly. Selection of HIV-1 variants that are genotypically resistant to protease inhibitors was studied in all the patients (n = 169) who completed at least 18 months of treatment with a protease inhibitor plus two nucleoside reverse transcriptase inhibitors at two urban Italian hospitals. HIV-1 carrying primary protease inhibitor resistance mutations was detected in 70 (41.4%) patients. The estimated proportion of patients developing genotypic resistance to protease inhibitors at 12 and 24 months was 18.3% (95% CI, 12.5-24.2%) and 33.9% (95% CI, 26.4-41.5%), respectively. Independent predictors of development of resistance to protease inhibitors were higher HIV-1 RNA levels at the nadir (P < 0.0001) and inclusion of ritonavir or saquinavir versus indinavir in the starting regimen (P = 0.0313). Resistance to protease inhibitors was strongly associated with a lower response to treatment, as shown by HIV-1 RNA load (P = 0.0001) and CD4 cell counts (P = 0.005). However, a linear increase in CD4 cell counts was maintained up to the end of follow-up even in the protease inhibitor-resistant population. Resistance to protease inhibitors develops in a relevant proportion of patients under long-term triple-drug therapy in clinical practice and is associated with virological treatment failure and limitation of CD4 cell increase.

Anti-HIV Agents↗

Immunoglobulin gene rearrangement analysis in composite hodgkin disease and large B-cell lymphoma: evidence for receptor revision of immunoglobulin heavy chain variable region genes in Hodgkin-Reed-Sternberg cells?

Immunoglobulin heavy chain gene (IgH) rearrangement was studied in a patient showing the occurrence of classical Hodgkin disease and large B-cell lymphoma (LBCL) in the same lymph node. The VHDHJH region was amplified by polymerase chain reaction, the template being the DNA extracted from single Hodgkin and Reed-Sternberg and LBCL cells, microdissected on hematoxylin-eosin-stained sections by laser capture. A repeated VH4DH3JH4 segment was found in Reed-Sternberg cells, whereas a repeated VH3DH3JH4 segment was observed in LBCL cells. Rearranged VH genes carried somatic mutations in both populations, indicating a common germinal center cell origin. The IgH rearrangement found in clonally related Reed-Sternberg cells differed from the one of LBCL cells in the VH region but showed the same JH and DH segments with no variation from the respective germline sequence. The DH-JH junction is the first immunoglobulin gene segment rearranged in precursor B cells. Because the possibility of secondary Ig gene rearrangement in peripheral lymphoid organs has recently been reported, in the patient described here Reed-Sternberg and LBCL cells might originate from a common precursor in which secondary VH replacement took place during the germinal center reaction, giving rise to two different clonally related lymphomas.

Adult↗

Divergent distribution of HIV-1 drug-resistant variants on and off antiretroviral therapy.

OBJECTIVE: To investigate the distribution of drug-resistant HIV-1 variants in plasma RNA and peripheral blood monuclear cell (PBMC) DNA at treatment failure while on therapy and after stopping therapy. DESIGN: Fifty-eight patients failing their first highly active antiretroviral treatment while on therapy and 50 patients after a median of 18.6 weeks after treatment interruption following multiple treatment failures were analysed. METHODS: Paired plasma HIV-1 RNA and PBMC HIV-1 DNA were used for genotypic antiretroviral resistance testing. Drug resistance was computed by using the Stanford on-line genotype interpretation system. RESULTS: The extent of drug resistance was larger in plasma RNA than in PBMC DNA in the on-therapy group (P=0.004) and in PBMC DNA than in plasma RNA in the off-therapy group (P=0.04). Interpretation of genotype based on PBMC DNA and plasma RNA in the on-therapy and in the off-therapy group would have missed detection of resistance to one or more drugs in 21 and 22% of the patients, respectively, compared to interpretation based on the other blood compartment. In a subset of 27 patients for whom a sample before stopping therapy was available, there was a significant decrease in the number of RNA (mean 8.1 to 5.3, P=0.004), but not DNA (mean 6.8 to 5.7, P=0.143), resistance mutations following treatment interruption. CONCLUSION: While plasma RNA is the material of choice for early detection of drug resistance while on therapy, analysis of PBMC DNA may additionally support and possibly improve sensitivity of resistance testing in the absence of therapy.

Acquired Immunodeficiency Syndrome↗