Genetic analysis of human immunodeficiency virus type 1 strains in Kenya: a comparison using phylogenetic analysis and a combinatorial melting assay

HIV diversity and drug resistance from plasma and non-plasma analytes in a large treatment programme in western Kenya

INTRODUCTION

Antiretroviral resistance leads to treatment failure and resistance transmission. Resistance data in western Kenya are limited. Collection of non-plasma analytes may provide additional resistance information.

METHODS

We assessed HIV diversity using the REGA tool, transmitted resistance by the WHO mutation list and acquired resistance upon first-line failure by the IAS-USA mutation list, at the Academic Model Providing Access to Healthcare (AMPATH), a major treatment programme in western Kenya. Plasma and four non-plasma analytes, dried blood-spots (DBS), dried plasma-spots (DPS), ViveST(TM)-plasma (STP) and ViveST-blood (STB), were compared to identify diversity and evaluate sequence concordance.

RESULTS

Among 122 patients, 62 were treatment-naïve and 60 treatment-experienced; 61% were female, median age 35 years, median CD4 182 cells/µL, median viral-load 4.6 log10 copies/mL. One hundred and ninety-six sequences were available for 107/122 (88%) patients, 58/62 (94%) treatment-naïve and 49/60 (82%) treated; 100/122 (82%) plasma, 37/78 (47%) attempted DBS, 16/45 (36%) attempted DPS, 14/44 (32%) attempted STP from fresh plasma and 23/34 (68%) from frozen plasma, and 5/42 (12%) attempted STB. Plasma and DBS genotyping success increased at higher VL and shorter shipment-to-genotyping time. Main subtypes were A (62%), D (15%) and C (6%). Transmitted resistance was found in 1.8% of plasma sequences, and 7% combining analytes. Plasma resistance mutations were identified in 91% of treated patients, 76% NRTI, 91% NNRTI; 76% dual-class; 60% with intermediate-high predicted resistance to future treatment options; with novel mutation co-occurrence patterns. Nearly 88% of plasma mutations were identified in DBS, 89% in DPS and 94% in STP. Of 23 discordant mutations, 92% in plasma and 60% in non-plasma analytes were mixtures. Mean whole-sequence discordance from frozen plasma reference was 1.1% for plasma-DBS, 1.2% plasma-DPS, 2.0% plasma-STP and 2.3% plasma-STB. Of 23 plasma-STP discordances, one mutation was identified in plasma and 22 in STP (p<0.05). Discordance was inversely significantly related to VL for DBS.

CONCLUSIONS

In a large treatment programme in western Kenya, we report high HIV-1 subtype diversity; low plasma transmitted resistance, increasing when multiple analytes were combined; and high-acquired resistance with unique mutation patterns. Resistance surveillance may be augmented by using non-plasma analytes for lower-cost genotyping in resource-limited settings.

Differences in HIV type 1 RNA plasma load profile of closely related cocirculating Ethiopian subtype C strains: C and C'

Two HIV-1 subtype C subclusters have been identified in Ethiopia (C and C') with little knowledge regarding their biological or clinical differences. We longitudinally monitored HIV-1 viral loads and CD4(+) T cell counts for 130 subtype C-infected individuals from Ethiopia over 5 years. The genetic subclusters C and C' were determined and comparisons were made between the groups. None of the study individuals received antiretroviral therapy. Subcluster C' was found to be the more prevalent (72.3%) genotype circulating. Individuals infected with subcluster C' harbored higher viral loads in comparison to subcluster C-infected individuals when the CD4(+) T cell counts were high (500-900 cells/mm(3)), whereas at low CD4(+) T cell counts (0-150 cells/mm(3)) individuals infected with subcluster C viruses showed higher viral loads. We identified a greater number of deaths among individuals infected with subcluster C viruses in comparison to C'. Our results indicate that infection with subcluster C viruses leads to a more rapid onset of disease, despite the initial lower HIV-1 RNA plasma loads. Additionally, the higher viral loads seen for HIV-1 subcluster C' infections at higher CD4(+) T cell counts can help explain the higher prevalence of this subtype in Ethiopia.

GenGIS: A geospatial information system for genomic data

The increasing availability of genetic sequence data associated with explicit geographic and ecological information is offering new opportunities to study the processes that shape biodiversity. The generation and testing of hypotheses using these data sets requires effective tools for mathematical and visual analysis that can integrate digital maps, ecological data, and large genetic, genomic, or metagenomic data sets. GenGIS is a free and open-source software package that supports the integration of digital map data with genetic sequences and environmental information from multiple sample sites. Essential bioinformatic and statistical tools are integrated into the software, allowing the user a wide range of analysis options for their sequence data. Data visualizations are combined with the cartographic display to yield a clear view of the relationship between geography and genomic diversity, with a particular focus on the hierarchical clustering of sites based on their similarity or phylogenetic proximity. Here we outline the features of GenGIS and demonstrate its application to georeferenced microbial metagenomic, HIV-1, and human mitochondrial DNA data sets.

Genetic analysis of HIV-1 subtypes in Nairobi, Kenya

Background

Genetic analysis of a viral infection helps in following its spread in a given population, in tracking the routes of infection and, where applicable, in vaccine design. Additionally, sequence analysis of the viral genome provides information about patterns of genetic divergence that may have occurred during viral evolution.

Objective

In this study we have analyzed the subtypes of Human Immunodeficiency Virus -1 (HIV-1) circulating in a diverse sample population of Nairobi, Kenya.

Methodology

69 blood samples were collected from a diverse subject population attending the Aga Khan University Hospital in Nairobi, Kenya. Total DNA was extracted from peripheral blood mononuclear cells (PBMCs), and used in a Polymerase Chain Reaction (PCR) to amplify the HIV gag gene. The PCR amplimers were partially sequenced, and alignment and phylogenetic analysis of these sequences was performed using the Los Alamos HIV Database.

Results

Blood samples from 69 HIV-1 infected subjects from varying ethnic backgrounds were analyzed. Sequence alignment and phylogenetic analysis showed 39 isolates to be subtype A, 13 subtype D, 7 subtype C, 3 subtype AD and CRF01_AE, 2 subtype G and 1 subtype AC and 1 AG. Deeper phylogenetic analysis revealed HIV subtype A sequences to be highly divergent as compared to subtypes D and C.

Conclusion

Our analysis indicates that HIV-1 subtypes in the Nairobi province of Kenya are dominated by a genetically diverse clade A. Additionally, the prevalence of highly divergent, complex subtypes, intersubtypes, and the recombinant forms indicates viral mixing in Kenyan population, possibly as a result of dual infections.

HIV-1 subtype C dissemination in southern Brazil

OBJECTIVES

To describe the molecular and epidemiological profile of HIV-1 in patients followed at the University Hospital of Rio Grande, Brazil.

DESIGN AND METHODS

A cross-sectional study was conducted from September to December 2002. Plasma viral RNA of 85 patients was extracted and protease and reverse transcriptase genes were polymerase chain reaction-amplified and sequenced. Sequences were subtyped and examined to antiretroviral resistance mutations. Laboratory data and past history of antiretroviral treatment were also collected.

RESULTS

Most viruses were either subtype B (42%) or subtype C (45%). No risk behaviour, sexual orientation or laboratory parameter was associated with any specific subtype, but subtype C tended to be more frequently found in women (P = 0.06). The prevalence of subtype C has increased over the HIV/AIDS epidemic, accounting for almost 60% of cases diagnosed in 2002. Intra-subtype genetic distances were smaller in subtype C than in subtype B, suggesting a more recent introduction of the former in the epidemic. Of patients under treatment, 60% had at least one antiretroviral drug resistance mutation, but no mutation was specifically associated with any HIV-1 subtype. Only one resistance mutation each was found in drug-naive patients with subtypes B and C.

CONCLUSION

Despite the fact that subtype C appeared in southern Brazil more recently than subtype B, it is now the predominant strain in Rio Grande. The epidemic spread of subtype C could be taking place in Brazil, and possibly in south America, a phenomenon similar to that seen in other countries where this subtype is now totally dominant.

Epidemiologic and molecular characterization of human immunodeficiency virus type 1 in southern Brazil

HIV subtype C is the most prevalent subtype in the world. Despite its recent expansion in Brazil, HIV-1C already prevails in the southernmost state of Brazil, Rio Grande do Sul. This unique HIV epidemiology has prompted us to characterize that population. Seventy-seven HIV-1-infected subjects attending the largest HIV/AIDS clinic of the state had the protease and reverse transcriptase (RT) genes of their virus subtyped and genotyped. When subtype-specific infections were plotted according to year of diagnosis, the prevalence of subtype C was shown to increase over the last 18 years of the epidemic, along with a concomitant decrease of subtype B. Comparison of subtype C-infected treated and untreated subjects revealed amino acid differences in protease and RT, especially in the RT mutation D/G123S. The overall analysis of drug resistance mutations in viruses from treated subjects has highlighted some associations between subtypes and particular mutations, such as V82A/F/T/S in protease and subtype F1 and M41L and L210W in RT and subtype B. The characterization of this important population, which is one of a few in the developing world where a large number of HIV-1C-infected subjects are under antiretroviral treatment, underscores its potential usefulness in clinical, treatment, and vaccine trials in Brazil.

In vitro hypersusceptibility of human immunodeficiency virus type 1 subtype C protease to lopinavir

In order to characterize the impact of genetic polymorphisms on the susceptibility of subtype C strains of human immunodeficiency virus type 1 to protease inhibitors (PIs), a subtype B protease that originated from an infectious clone was modified through site-directed mutagenesis to include the amino acid residue signatures of subtype C viruses (I15V, M36I, R41K, H69K, L89 M) with (clone C6) or without (clone C5) an I93L polymorphism present as a molecular signature of the worldwide subtype C protease. Their susceptibilities to commercially available PIs were measured by a recombinant virus phenotyping assay. We could not detect any differences in the 50% inhibitory concentration (IC(50)s) of amprenavir, indinavir, ritonavir, saquinavir, and nelfinavir for the clones analyzed. However, we did observe hypersusceptibility to lopinavir solely in clone C6, which includes the I93L substitution (a 2.6-fold decrease in the IC(50) compared to that for the subtype B reference strain). The same phenotypic behavior was observed for 11 Brazilian and South African clinical isolates tested, in which only subtype C isolates carrying the I93L mutation presented significant hypersusceptibility to lopinavir.

A specific subtype C of human immunodeficiency virus type 1 circulates in Brazil

OBJECTIVE

To characterize the subtype C strains of HIV type 1 that circulate in Brazil, especially those originated from the southern part of the country.

DESIGN AND METHODS

One hundred and twelve HIV-1-positive subjects had their plasma viral RNA extracted. Protease (PR) and reverse transcriptase (RT) genomic regions were polymerase chain reaction-amplified and sequenced for subtype determination. Subtype C strains were selected and compared to other strains of this subtype from the database, and specific amino acid signature patterns were searched.

RESULTS

Brazilian subtype C viruses form a very strong monophyletic group when compared to subtype C viruses from other countries and presented specific signature amino acids. Recombinants between subtype C and B viruses have been documented in areas of co-circulation. The incidence of primary PR and RT inhibitor resistance mutations in drug-naïve subjects was observed. An increasing number of secondary resistance mutations was also seen, some of which are characteristic of subtype C-related sequences.

CONCLUSIONS

Introduction of subtype C of HIV-1 in Brazil was likely a single event of one or a mixture of similarly related strains. Recombination between subtype C and B viruses is an ongoing process in the country. Primary and secondary drug resistance mutations were observed, although some of the secondary mutations could be associated with subtype C molecular signatures. Subtype-specific polymorphisms of PR and RT sequences found in this subtype C Brazilian variant might influence this emergence and have an impact on HIV treatment and on vaccine development in the country.

Forty-one near full-length HIV-1 sequences from Kenya reveal an epidemic of subtype A and A-containing recombinants

OBJECTIVE

To further define the genetic diversity of HIV-1 in Kenya using approaches that clearly distinguish subtypes from inter-subtype recombinants.

DESIGN

Near full genome sequencing and analysis were used, including sensitive new tools for detection and mapping of recombinants.

METHODS

Purified peripheral blood mononuclear cell DNA from 41 HIV-1 positive blood donations collected from six hospitals across southern Kenya was used to amplify near full-length genomes by nested PCR. These were sequenced on an ABI 3100 automated sequencer and analyzed phylogenetically.

RESULTS

Among 41 near full-length genomes, 25 were non-recombinant (61%) and 16 were recombinant (39%). Of the 25 pure subtypes, 23 were subtype A, one was subtype C and one was subtype D. Most recombinants consisted of subtype A and either subtype C or subtype D; a few contained A2, a recently identified sub-subtype. Two A2/D recombinants had identical breakpoints and may represent a circulating recombinant form. A third A2/D recombinant had the same structure as a previously described Korean isolate, and these may constitute a second A2-containing circulating recombinant form.

CONCLUSIONS

In Kenya, 93% of HIV-1 genomes were subtype A or A-containing recombinant strains. Almost 40% of all strains were recombinant. Vaccine candidates tested in Kenya should be based on subtype A strains, but the methods used for evaluation of breakthrough infections during future vaccine trials should be capable of identifying non-A subtypes, the A2 sub-subtype, and recombinants.

Prevalence and origin of HIV-1 group M subtypes among patients attending a Belgian hospital in 1999

HIV-1 group M strains are usually subtyped based on gag and/or env gene sequences. In our lab, part of the pol gene sequence was available in order to determine the genotypic anti-HIV drug resistance profile. To estimate the prevalence of the different HIV-1 subtypes in patients visiting the University Hospitals in Leuven in 1999 and for whom a genotypic drug resistance test was needed, we tried to use the pol sequence for subtyping. Recombination was investigated by similarity plots and bootscanning and subtyping was performed by phylogenetic analysis. The overall region spanning the entire protease and 747 nucleotides of the reverse transcriptase proved very suitable for subtyping, although there was a low phylogenetic signal at the beginning of the reverse transcriptase (nucleotides 0-250), as we demonstrated by likelihood mapping. Of the 41 samples analyzed, 21 belonged to subtype B. Of the other 20 non-B strains, 9 belonged to subtype C, 2 to subtype D and 1 to subtype A, G, H and J, respectively, 3 were CRF_02 (Circulating Recombinant Form), 1 was recombinant with a novel breakpoint and 1 sample was untypable. Although subtype B is still the most prevalent subtype in Belgium, it seems to be responsible for only half of the infections in this study. We could also document that the prevalence of subtype C is high in the Belgian native patients, especially among the heterosexually infected population. This could possibly be an indication for an epidemic spread of HIV-1 subtype C in Belgium, as for one third of these patients, no link to an endemic region could be found. The other non-B subtypes and the recombinants are mainly introduced by immigrants or by Belgian citizens traveling abroad.

Development and evaluation of a DNA enzyme immunoassay method for env genotyping of subtypes A through G of human immunodeficiency virus type 1 group M, with discrimination of the circulating recombinant forms CRF01_AE and CRF02_AG

The tools currently available for genetic subtyping of human immunodeficiency virus type 1 are laborious or can be used only for the analysis of a limited number of samples and/or subtypes. We developed and evaluated a molecular biology-based method using subtype-specific oligonucleotide probes for env genotyping of subtypes A through G, CRF01_AE, and CRF02_AG. DNA enzyme immunoassay (DEIA) genotyping is based on nested PCR amplification of the 5' end of the env gene (proviral DNA), followed by subtype-specific hybridization and immunoenzymatic detection on microplates. DEIA genotyping was validated with a large number of samples (n = 128) collected in Europe (France; n = 47), West-Central Africa (Cameroon; n = 36), and West Africa (Senegal; n = 45). Three different formats, depending on the distribution of subtypes in the three countries, were developed. The results were compared with those obtained by sequencing of the V3-V5 region and phylogenetic analysis or an env heteroduplex mobility assay. Additional sequencing and phylogenetic analyses of the DEIA region (the first codon of the env coding sequence to the middle of conserved region C1 of gp120) were performed to investigate the reasons for discrepancies. Intense and highly specific reactions between the oligonucleotide probes and the corresponding samples were observed. Overall, correct identification was achieved for 107 of 128 samples (83.6%). One sample was not amplified, 10 (8%) were nontypeable (NT), and 10 (8%) were misidentified. Six of the 10 discordant samples were further investigated by phylogenetic analysis, which indicated that these samples corresponded to recombinants involving the env 5' end and the V3 and V5 regions of the two parental clades. Sequencing of NT samples showed numerous differences between sample and probe sequences, resulting in a lack of hybridization, and revealed the limitations of the selected probes in terms of specificity and sensitivity. We demonstrated the feasibility of DEIA genotyping: six subtypes plus the two most prevalent circulating recombinant forms were discriminated by using the 5' end of the env gene. This method can be adapted to the local situation by including only probes that correspond to the prevalent strains.

Determination of human immunodeficiency virus type 1 subtypes by a rapid method useful for the routine diagnostic laboratory

The existence of human immunodeficiency virus type 1 (HIV-1) subtypes has many important implications for the global evolution of HIV and for the evaluation of pathogenicity, transmissibility, and candidate HIV vaccines. The aim of this study was to establish a rapid method for determination of HIV-1 subtypes useful for a routine diagnostic laboratory and to investigate the distribution of HIV-1 subtypes in Austrian patients. Samples were tested by a subtyping method based on a 1.3-kb sequence of the polymerase gene generated by a commercially available drug resistance assay. The generated sequence was subtyped by means of an HIV sequence database. Results of 74 routine samples revealed subtype B (71.6%) as the predominant subtype, followed by subtype A (13.5%) and subtype C (6.8%). Subtypes E, F, G, and AE (CM240) were also detected. This subtyping method was found to be very easy to handle, rapid, and inexpensive and has proved suitable for high-throughput routine diagnostic laboratories. The specific polymerase gene sequence, however, must be existent.

An integrated framework for the inference of viral population history from reconstructed genealogies

We describe a unified set of methods for the inference of demographic history using genealogies reconstructed from gene sequence data. We introduce the skyline plot, a graphical, nonparametric estimate of demographic history. We discuss both maximum-likelihood parameter estimation and demographic hypothesis testing. Simulations are carried out to investigate the statistical properties of maximum-likelihood estimates of demographic parameters. The simulations reveal that (i) the performance of exponential growth model estimates is determined by a simple function of the true parameter values and (ii) under some conditions, estimates from reconstructed trees perform as well as estimates from perfect trees. We apply our methods to HIV-1 sequence data and find strong evidence that subtypes A and B have different demographic histories. We also provide the first (albeit tentative) genetic evidence for a recent decrease in the growth rate of subtype B.

A gag gene heteroduplex mobility assay for subtyping HIV-1

A heteroduplex mobility assay (HMA) using 753 and 446 base pair (bp) amplicons of the p17/p24 region of the gag gene of HIV-1 has been developed and validated with reference clones and clinical samples representative of subtypes A, B, C, D, E, G, and H. There was complete concordance between the gag HMA assigned subtype and the subtype known from gag or env sequence data or env HMA. The heteroduplexes from both amplicons can be clearly resolved on either MetaPhor XR agarose or MDE polyacrylamide gels. The MetaPhor XR gel system was the more convenient and is the preferred choice for routine HMA subtyping. This gag HMA provides a rapid, simple and inexpensive method for subtyping HIV-1 based on a genomic region other than the commonly used env gene target. The incorporation of gag HMA into subtype determination algorithms should allow the detection of gag/env recombinant strains of HIV-1.

Molecular epidemiology of HIV-1 in Switzerland: evidence for a silent mutation in the C2V3 region distinguishing intravenous drug users from homosexual men. Swiss HIV Cohort Study

OBJECTIVES

To study the molecular epidemiology of HIV-1 strains found in Switzerland and to determine possible genetic linkages among strains sorted by risk group or geographic region.

DESIGN

A cross-sectional, clinic-based survey of HIV-1 molecular sequences and linked patient history from Swiss people.

METHODS

Specimens were collected from 215 HIV-1-infected people in HIV outpatient clinics of four tertiary referral centers (Lausanne, St. Gallen, Zurich, and Basel) between May and August 1996, mainly from homosexual men, injecting drug users (IDU), and heterosexually infected people. In addition, specimens collected between 1991 and 1995 in the HIV outpatient clinic at University of Geneva were included into this survey. These specimens were collected primarily for an ongoing, prospective cohort (Swiss HIV Cohort Study). Direct C2V3C3 sequences of the env gene were determined from 158 samples of peripheral blood mononuclear cells. Genetic data were analyzed with the available patient history on each specimen.

RESULTS

As found in other previous studies in Europe, primarily subtype B viruses were identified, whereas seven (4%) of 158 were non-subtype B: one subtype D, four subtype A, and two subtype E. Five of seven non-B subtypes occurred in immigrants from African or Asian countries and all seven were found exclusively in individuals who had been infected by heterosexual contact. No significant clustering of strains within different study sites or risk groups was found. A silent mutation (LAI env 834) occurred significantly more often in IDU than in homosexual men (p<.001).

CONCLUSIONS

Although the lack of significant clustering of strains by risk group or geographic region may result from early introduction of subtype B viruses in Switzerland, the strong association of a silent mutation with IDU suggests that, early in the epidemic, there was a unique founder virus among IDUs. The HIV epidemic in Switzerland is still predominantly caused by subtype B viruses.