Anna Urbańska

Characteristics of HIV-1 non-B subtype infections in Northwest Poland.

The number of non‐B subtype HIV‐1 infections in Europe has been increasing even though major regional differences have been observed. This trend was investigated in northwestern Poland using sequence and epidemiological data from a cohort of 102 HIV‐1‐infected patients from Szczecin, Poland. HIV‐1 subtypes were defined by phylogenetic analysis of viral reverse transcriptase‐ and protease‐partial coding regions, and results were compared with online subtyping by Standford and REGA tools. Subtype analysis using on‐line subtyping methods produced varying results if compared to phylogenesis, with concordant variant assignment obtained for 98% (100/102) of sequences by Stanford and 85% (87/102) by REGA. In the population studied, non‐B subtype infections comprised 21% of the infections and consisted of subtype D (57%, n = 12), CRF01_AE (19%, n = 4), A and C clades (9.5%, n = 2), and the CRF13_cpx recombinant isolate (4.8%, n = 1). Patients carrying non‐B subtypes were predominantly heterosexuals with high percentage (57%) of women observed in the group. All HIV‐1 non‐B women were Caucasian with majority (83%) of infections acquired in Poland; however, among 12 travelers included in the study a higher proportion of non‐B infections was noted (50%, P = 0.01). Moreover, lower baseline lymphocyte CD4 counts (P = 0.01), higher baseline HIV‐1 viremia (P = 0.08), and a more advanced stage of the disease (P = 0.03) were observed among individuals infected with non‐B subtypes. The data indicated that the proportion of HIV‐1 non‐B subtype infections was higher than previously reported in Poland consisting of a high subtype D prevalence. Furthermore, subtype D transmission occurred primarily between heterosexual Caucasian individuals from this region. J. Med. Virol. 82:1306–1313, 2010.

Transmitted HIV drug resistance in antiretroviral-treatment-naive patients from Poland differs by transmission category and subtype

OBJECTIVES The surveillance of HIV-transmitted drug resistance mutations (t-DRMs), including temporal trends across subtypes and exposure groups, remains a priority in the current management of the epidemic worldwide. METHODS A cross-sectional analysis of 833 treatment-naive patients from 9 of 17 Polish HIV treatment centres. Partial pol sequences were used to analyse drug resistance with a general time reversible (GTR)-based maximum likelihood algorithm used for cluster/pair identification. Mutation frequencies and temporal trends were investigated. RESULTS t-DRMs were observed in 9% of cases (5.8% for NRTI, 1.2% NNRTI and 2.0% PI mutations) and were more common among heterosexually infected (HET) individuals (13.4%) compared with MSM (8.3%, P = 0.03) or injection drug users (IDUs; 2.9%, P = 0.001) and in MSM compared with IDUs (P = 0.046). t-DRMs were more frequent in cases infected with the non-B variant (21.6%) compared with subtype B (6.6%, P < 0.001). With subtype B a higher mutation frequency was found in MSM compared with non-MSM cases (8.3% versus 1.8% for IDU + HET, P = 0.038), while non-B variants were associated with heterosexual exposure (30.4% for HET versus 4.8% for MSM, P = 0.019; versus 0 for IDU, P = 0.016). Trends in t-DRM frequencies were stable over time except for a decrease in NNRTI t-DRMs among MSM (P = 0.0662) and an NRTI t-DRM decrease in HET individuals (P = 0.077). With subtype B a higher frequency of sequence pairs/clusters in MSM (50.4%) was found compared with HET (P < 0.001) and IDUs (P = 0.015). CONCLUSIONS Despite stable trends over time, patterns of t-DRMs differed notably between transmission categories and subtypes: subtype B was associated with MSM transmission and clustering while in non-B clades t-DRMs were more common and were associated with heterosexual infections.

HIV-1 integrase resistance among antiretroviral treatment naive and experienced patients from Northwestern Poland

BackgroundHIV integrase inhibitor use is limited by low genetic barrier to resistance and possible cross-resistance among representatives of this class of antiretrovirals. The aim of this study was to analyse integrase sequence variability among antiretroviral treatment naive and experienced patients with no prior integrase inhibitor (InI) exposure and investigate development of the InI drug resistance mutations following the virologic failure of the raltegravir containing regimen.MethodsSequencing of HIV-1 integrase region from plasma samples of 80 integrase treatment naive patients and serial samples from 12 patients with observed virologic failure on raltegravir containing treatment whenever plasma vireamia exceeded >50 copies/ml was performed. Drug resistance mutations were called with Stanford DB database and grouped into major and minor variants. For subtyping bootstrapped phylogenetic analysis was used; Bayesian Monte Carlo Marcov Chain (MCMC) model was implemented to infer on the phylogenetic relationships between the serial sequences from patients failing on raltegravir.ResultsMajority of the integrase region sequences were classified as subtype B; the remaining ones being subtype D, C, G, as well as CRF01_AE , CRF02_AG and CRF13_cpx recombinants. No major integrase drug resistance mutations have been observed in InI-treatment naive patients. In 30 (38.5%) cases polymorphic variation with predominance of the E157Q mutation was observed. This mutation was more common among subtype B (26 cases, 54.2%) than non-B sequences (5 cases, 16.7%), p=0.00099, OR: 5.91 (95% CI:1.77-22.63)]. Other variants included L68V, L74IL, T97A, E138D, V151I, R263K. Among 12 (26.1%) raltegravir treated patients treatment failure was observed; major InI drug resistance mutations (G140S, Q148H and N155H, V151I, E92EQ, V151I, G163R) were noted in four of these cases (8.3% of the total InI-treated patients). Time to the development of drug resistance ranged from 2.6 to 16.3 months with mean increase of HIV viral load of 4.34 (95% CI:1.86-6.84) log HIV-RNA copies/ml at the time of emergence of the major mutations. Baseline polymorphisms, including E157Q were not associated with the virologic failure on raltegravir.ConclusionsIn InI treatment naive patients polymorphic integrase sequence variation was common, with no major resistance mutants. In the treatment failing patients selection of drug resistance occurred rapidly and followed the typical drug resistance pathways. Preexisting integrase polymorphisms were not associated with the treatment failure.

Transmitted drug resistance to rilpivirine among antiretroviral-naïve patients living with HIV from northern Poland

Rilpivirine (RPV) is a second‐generation non‐nucleoside reverse transcriptase inhibitor (NNRTI) that was recently approved for the treatment of antiretroviral‐naïve individuals with HIV‐1 viral load of <100,000 copies/ml. As transmission of the drug resistance mutations to this NNRTI may affect treatment outcomes, the frequency of primary, RPV‐associated drug resistance mutations was assessed in this study.

HIV-1 Subtype D Infections among Caucasians from Northwestern Poland—Phylogenetic and Clinical Analysis

Background HIV-1 subtype D infections, which are associated with a faster rate of progression and lymphocyte CD4 decline, cognitive deficit and higher mortality, have rarely been found in native Europeans. In Northwestern Poland, however, infections with this subtype had been identified. This study aimed to analyze the sequence and clinical data for patients with subtype D using molecular phylogeography and identify transmission clusters and ancestry, as well as drug resistance, baseline HIV tropism and antiretroviral treatment efficacy. Methods Phylogenetic analyses of local HIV-1 subtype D sequences were performed, with time to the most recent common ancestor inferred using Bayesian modeling. Sequence and drug resistance data were linked with the clinical and epidemiological information. Results Subtype D was found in 24 non-immigrant Caucasian, heterosexually infected patients (75% of females, median age at diagnosis of 49.5 years; IQR: 29–56 years). Partial pol sequences clustered monophyletically with the clades of Ugandan origin and no evidence of transmission from other European countries was found. Time to the most common recent ancestor was 1989.24 (95% HPD: 1968.83–1994.46). Baseline drug resistance to nucleoside reverse transcriptase inhibitors was observed in 54.5% of cases (mutations: M41L, K103N, T215S/D) with evidence of clustering, no baseline integrase or protease resistance and infrequent non-R5 tropism (13.6%). Virologic failure was observed in 60% of cases and was associated with poor adherence (p<0.001) and subsequent development of drug resistance (p = 0.008, OR: 20 (95%CI: 1.7–290). Conclusions Local subtype D represented an independently transmitted network with probably single index case, high frequency of primary drug resistance and evidence of transmission clusters.

Genotypic tropism of antiretroviral‐treated patients with drug resistant HIV‐1

CCR5 inhibitors remain an attractive antiretroviral treatment option for HIV‐infected patients; however, tropism testing should be utilized prior their introduction. This study analyzed genotypic HIV‐1 tropisms in patients with evidence of genotypic drug resistance to antiretroviral therapies in Northwest Poland. V3 loop sequences were analyzed from plasma samples obtained from patients presenting with virologic treatment failure while on combined antiretroviral treatment and with evidence of genotypic drug resistance. Genotypic X4 and R5 tropisms were identified using the geno2pheno algorithm with a false positive rate threshold set at 10%. Clinical data for all patients examined was collected, in addition to determining the CCR5 Δ32 genotype and calculating the genotypic susceptibility score (GSS). Virologic treatment failure and the presence of drug resistant mutations were observed in 37/450 (8.4%) patients on cART (combination antiretroviral therapy) with successful tropism analysis carried out on 35 (95%) cases. In 22 (62.9%) and 13 (37.1%) cases the R5 and X4 tropisms were predicted, respectively. An association between viral X4 tropism and the M41L (P = 0.04) resistance mutation and R5 tropism and the K103N (P = 0.07) resistance mutation were observed. GSS values were lower in the group with NRTI (P = 0.01) and NNRTI resistance (P = 0.048). In the majority of the drug resistant patients, R5 tropic viruses were found. As genotypic tropism testing is easy to carry out and interpret, its use in clinical practice would be highly useful in determining the use of appropriate drug therapies. J. Med. Virol. 83:1869–1875, 2011.

The temporal increase in HIV-1 non-R5 tropism frequency among newly diagnosed patients from northern Poland is associated with clustered transmissions

CCR5 (R5) tropic viruses are associated with early stages of infection, whereas CXCR4 (X4) HIV‐1 tropism has been associated with severe immunodeficiency. We investigated the temporal changes in the genotype‐predicted tropism frequency and the phylogenetic relationships between the R5 and non‐R5 clades.

Introduction of pharmacogenetic screening for the human leucocyte antigen (HLA) B*5701 variant in Polish HIV-infected patients.

Prospective pharmacogenetic screening for the human leucocyte antigen (HLA) B*5701 allele can significantly reduce the number of cases of abacavir‐related hypersensitivity among HIV‐infected patients treated with this drug. The aim of this study was to establish the frequency of the HLA B*5701 variant in HIV‐infected Poles.

Risk of all-cause mortality in HIV infected patients is associated with clinical, immunologic predictors and the CCR5 Δ32 deletion.

Objective Investigation of the interplay between the CCR5 Δ32/wt genotype and demographic, epidemiological, clinical and immunological factors associated with mortality in the cART era. Design Longitudinal data from 507 HIV-infected patients following the Δ32 allele detection were analyzed. Methods Cumulative 15 years mortality was calculated using Kaplan-Meyer methodology. Hazard ratios were estimated using univariate Cox models. Basing on Akakie information criteria and statistical significance multivariate Cox model was constructed and effect plots presenting adjusted hazard ratio time-dependency were drawn. Analysis of the association of all-cause mortality and CCR5 Δ32/wt genotype prior to the antiretroviral treatment (cART) initiation (n = 507) and on the therapy (n = 422) was also performed. Results A mortality rate of 2.66 (CI 2.57–3.19) per 100 person-years was observed. Univariate analysis factors modifying the risk of death included the CCR5 genotype, gender, history of cART, AIDS diagnosis and also CD4 lymphocyte nadir, zenith, the latest CD4 count and stable levels >500 cells/µl. For multivariate analysis the following predictors were selected: CCR5 genotype (HR for wt/wt 2.53, CI 1.16–5.53, p = 0.02), gender (HR for males 1.91, 95%CI 1.1–3.36, p = 0.023), introduction of combined antiretroviral treatment (HR 4.85, CI 3.0–7.89, if untreated or treated <1 month, p<0.0001) CD4 count of 500 cells/µl for six months or more (HR 4.16, CI 1.95–8.88 if not achieved, p = 0.028), the latest CD4 count (HR 5.44, CI 3.39–8.74 for <100 cells/µl, p<0.0001) and history of AIDS (HR 1.69, CI 1.03–2.79, p = 0.039). Among untreated individuals the Δ32/wt genotype was associated with notably better survival (p = 0.026), while among cART treated individuals the Δ32 mutation did not correlate significantly with higher survival rates (p = 0.23). Conclusions The Δ32 CCR5 allele is associated with a reduction of the risk of all-cause mortality in HIV (+) patients alongside clinical and immunologic predictors such as AIDS, history of cART, lymphocyte CD4 cell count and gender.

Distribution and time trends of HIV-1 variants in Poland: Characteristics of non-B clades and recombinant viruses.

The spread of HIV-1 subtypes varies considerably both worldwide and within Europe, with non-B variants commonly found across various exposure groups. This study aimed to analyse the distribution and temporal trends in HIV-1 subtype variability across Poland. For analysis of the subtype distribution, 1219 partial pol sequences obtained from patients followed up in 9 of 17 Polish HIV treatment centres were used. Subtyping was inferred using the maximum likelihood method; recombination was assessed using the bootscanning and jumping profile hidden Markov model methods. Subtype B dominated in the studied group (n=1059, 86.9%); in 160 (13.1%) sequences, non-B variants were present [A1 (n=63, 5.2%), D (n=43, 3.5%), C (n=22, 1.8%), and F1 (n=2, 0.2%)]. In 25 (2.1%) cases circulating recombinant forms (CRFs) were found. Five A1 variants (0.4%) were unique AB recombinant forms (URF) not previously identified in Poland. Non-B clades were notably more common among females (n=73, 45.6%, p<0.001) and heterosexual individuals (n=103, 66.5%, p<0.001) and less frequent among men who have sex with men (MSM) (n=27, 17.42%, p<0.001). HIV-1 viral load at diagnosis was higher among non-B cases [median: 5.0 (IQR: 4.4-5.6)] vs. [median: 4.8 (IQR: 4.3-5.4) log copies/ml for subtype B (p<0.001)] with a lower CD4(+) lymphocyte count at baseline [median: 248 (IQR: 75-503) for non-B vs. median: 320 (IQR: 125-497) cells/μl for subtype B; p<0.001]. The frequency of the non-B subtypes proved stable from 2008 (11.5%) to 2014 (8.0%) [OR: 0.95 (95% CI: 0.84-1.07), p=0.4], with no temporal differences for exposure groups, gender, age and AIDS. Despite the predominance of subtype B, the variability of HIV in Poland is notable; both CRFs and URFs are present in the analysed population. Non-B variants are associated with heterosexual transmission, more advanced HIV disease and have stable temporal frequencies.