Timing of the introduction into Ethiopia of subcluster C' of HIV type 1 subtype C

Low level of HIV-1C integrase strand transfer inhibitor resistance mutations among recently diagnosed ART-naive Ethiopians

With the widespread use of Integrase strand transfer inhibitors (INSTIs), surveillance of HIV-1 pretreatment drug resistance is critical in optimizing antiretroviral treatment efficacy. However, despite the introduction of these drugs, data concerning their resistance mutations (RMs) is still limited in Ethiopia. Thus, this study aimed to assess INSTI RMs and polymorphisms at the gene locus coding for Integrase (IN) among viral isolates from ART-naive HIV-1 infected Ethiopian population. This was a cross-sectional study involving isolation of HIV-1 from plasma of 49 newly diagnosed drug-naive HIV-1 infected individuals in Addis-Ababa during the period between June to December 2018. The IN region covering the first 263 codons of blood samples was amplified and sequenced using an in-house assay. INSTIs RMs were examined using calibrated population resistance tool version 8.0 from Stanford HIV drug resistance database while both REGA version 3 online HIV-1 subtyping tool and the jumping profile Hidden Markov Model from GOBICS were used to examine HIV-1 genetic diversity. Among the 49 study participants, 1 (1/49; 2%) harbored a major INSTIs RM (R263K). In addition, blood specimens from 14 (14/49; 28.5%) patients had accessory mutations. Among these, the M50I accessory mutation was observed in a highest frequency (13/49; 28.3%) followed by L74I (1/49; 2%), S119R (1/49; 2%), and S230N (1/49; 2%). Concerning HIV-1 subtype distribution, all the entire study subjects were detected to harbor HIV-1C strain as per the IN gene analysis. This study showed that the level of primary HIV-1 drug resistance to INSTIs is still low in Ethiopia reflecting the cumulative natural occurrence of these mutations in the absence of selective drug pressure and supports the use of INSTIs in the country. However, continues monitoring of drug resistance should be enhanced since the virus potentially develop resistance to this drug classes as time goes by.

Molecular Epidemiology and Transmission Dynamics of the HIV-1 Epidemic in Ethiopia: Epidemic Decline Coincided With Behavioral Interventions Before ART Scale-Up

Background

Ethiopia is one of the sub-Saharan countries hit hard by the HIV epidemic. Previous studies have shown that subtype C dominates the Ethiopian HIV-1 epidemic, but the evolutionary and temporal dynamics of HIV-1 in Ethiopia have not been closely scrutinized. Understanding the evolutionary and epidemiological pattern of HIV is vital to monitor the spread, evaluate and implement HIV prevention strategies.

Methods

We analyzed 1,276 Ethiopian HIV-1 subtype C polymerase (pol sequences), including 144 newly generated sequences, collected from different parts of the country from 1986 to 2017. We employed state-of-art maximum likelihood and Bayesian phylodynamic analyses to comprehensively describe the evolutionary dynamics of the HIV-1 epidemic in Ethiopia. We used Bayesian phylodynamic models to estimate the dynamics of the effective population size (Ne) and reproductive numbers (Re) through time for the HIV epidemic in Ethiopia.

Results

Our analysis revealed that the Ethiopian HIV-1 epidemic originated from two independent introductions at the beginning of the 1970s and 1980s from eastern and southern African countries, respectively, followed by epidemic growth reaching its maximum in the early 1990s. We identified three large clusters with a majority of Ethiopian sequences. Phylodynamic analyses revealed that all three clusters were characterized by high transmission rates during the early epidemic, followed by a decline in HIV-1 transmissions after 1990. Re was high (4–6) during the earlier time of the epidemic but dropped significantly and remained low (Re < 1) after the mid-1990. Similarly, with an expected shift in time, the effective population size (Ne) steadily increased until the beginning of 2000, followed by a decline and stabilization until recent years. The phylodynamic analyses corroborated the modeled UNAIDS incidence and prevalence estimates.

Conclusion

The rapid decline in the HIV epidemic took place a decade before introducing antiretroviral therapy in Ethiopia and coincided with early behavioral, preventive, and awareness interventions implemented in the country. Our findings highlight the importance of behavioral interventions and antiretroviral therapy scale-up to halt and maintain HIV transmissions at low levels (Re < 1). The phylodynamic analyses provide epidemiological insights not directly available using standard surveillance and may inform the adjustment of public health strategies in HIV prevention in Ethiopia.

Triple NF-kB binding sites and LTR sequence similarities in HIV-1C isolates irrespective of helminth co-infection

BACKGROUND

Helminth infections as well as structural alternations in the long-terminal repeat (LTR) regions of HIV-1 are known to contribute to elevated HIV RNA level and enhance HIV-1 diseases progression. However, the impact of helminths infections on the occurrences of triple NF-κB and genetic variability in LTR region of HIV-1C isolates is not known. We aimed to examine the presence of genetic variability in the LTR region of HIV-1C isolates during chronic HIV-helminth co-infection.

METHODS

HIV-1C infected Ethiopians with (n = 22) and without (n = 20) helminth infection were included. The LTR region of HIV was amplified and sequenced. Sequences were aligned with reference set from the Los Alamos HIV database. Phylogenetic analysis and frequency of polymorphic changes was performed by the neighbour-joining method using Geneious Basic software.

RESULTS

All LTR sequences from patients with or without of helminth co-infection clustered with HIV-1 subtype C with two distinct subclusters (C and C'). The enhancer element was found to have three copies of 10-base pair binding sites for NF-κBs which is an evidence for predominance of triple NF-κB sites (94%) in HIV-1C isolates irrespective of helminths co-infection and subclusters. Moreover, irrespective of helminth co-infection and C/C' subclusters high sequences similarity in LTR was observed. There was no significant difference in plasma HIV RNA level between HIV-1 C and C' subclusters.

CONCLUSIONS

Despite the small sample size, the predominance of triple NF-κB binding sites and high sequence similarities in LTR region irrespective of helminths infection suggest the natural occurrence of the three NF-κB binding sites in HIV-1C isolates without the influence of secondary infection. Thus, the higher HIV-1C viraemia in helminth co-infected individuals is more likely a result of immune activation rather than LTR sequence variation. Moreover, the lack of significant difference in plasma HIV RNA level between HIV-1 C and C' subcluster may show the lack of functional differences among the two groups.

Transmission of risk-group specific HIV-1 strains among Dutch drug users for more than 20 years and their replacement by nonspecific strains after switching to low-harm drug practices

OBJECTIVES

To characterize HIV-1 epidemiological networks of men having sex with men (MSM) and drug users (DUs) in the Netherlands for >30 years.

DESIGN AND METHODS

Previously, we demonstrated different origin of the HIV-1 epidemics in Dutch MSM and DUs. To achieve the study objectives, risk group-specific genetic markers in the pol gene were examined in 315 participants of the Amsterdam Cohort Studies on HIV/AIDS who were registered as HIV-1 infected in 1981-2011.

RESULTS

Phylogenetic analysis demonstrated circulation of distinct virus strains in the 2 networks, with 98% of viruses of MSM clustering together and apart from strains of 73% DUs. Nine genetic markers that significantly distinguished virus strains specific for DUs were identified, of which 3 were ≥90% conserved. Over the total observation period, only 6% of viruses (4 of MSM and 14 of DUs) clustered with those of the other risk group. Among these sequences, the 3 most conserved genetic markers of that other risk group were 87% conserved.All 4 cases of DU-specific viruses among MSM occurred in 1980s-early 1990s. Viruses nonspecific for DUs were causing new infections among DUs at the rate of 20% till 2002 and replaced DU-specific strains among new infections thereafter, coinciding with switching of DUs to low-harm drug practices.

CONCLUSIONS

Dutch MSM and DUs have remained separate epidemiological networks for decades, despite their geographical and behavioral overlap. Switching to low-harm drug practices among DUs resulted in new infections caused by HIV-1 strains originating from other risk groups.

HIV-1 drug resistance genotyping from antiretroviral therapy (ART) naïve and first-line treatment failures in Djiboutian patients

Abstract

In this study we report the prevalence of antiretroviral drug resistant HIV-1 genotypes of virus isolated from Djiboutian patients who failed first-line antiretroviral therapy (ART) and from ART naïve patients.

Patients and methods

A total of 35 blood samples from 16 patients who showed first-line ART failure (>1000 viral genome copies/ml) and 19 ART-naïve patients were collected in Djibouti from October 2009 to December 2009. Both the protease (PR) and reverse transcriptase (RT) genes were amplified and sequenced using National Agency for AIDS Research (ANRS) protocols. The Stanford HIV database algorithm was used for interpretation of resistance data and genotyping.

Results

Among the 16 patients with first-line ART failure, nine (56.2%) showed reverse transcriptase inhibitor-resistant HIV-1 strains: two (12.5%) were resistant to nucleoside (NRTI), one (6.25%) to non-nucleoside (NNRTI) reverse transcriptase inhibitors, and six (37.5%) to both. Analysis of the DNA sequencing data indicated that the most common mutations conferring drug resistance were M184V (38%) for NRTI and K103N (25%) for NNRTI. Only NRTI primary mutations K101Q, K103N and the PI minor mutation L10V were found in ART naïve individuals. No protease inhibitor resistant strains were detected. In our study, we found no detectable resistance in ∼ 44% of all patients who experienced therapeutic failure which was explained by low compliance, co-infection with tuberculosis and malnutrition. Genotyping revealed that 65.7% of samples were infected with subtype C, 20% with CRF02_AG, 8.5% with B, 2.9% with CRF02_AG/C and 2.9% with K/C.

Conclusion

The results of this first study about drug resistance mutations in first-line ART failures show the importance of performing drug resistance mutation test which guides the choice of a second-line regimen. This will improve the management of HIV-infected Djiboutian patients.

Virtual slides

The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/2051206212753973

Phylodynamics of HIV-1 subtype C epidemic in east Africa

The HIV-1 subtype C accounts for an important fraction of HIV infections in east Africa, but little is known about the genetic characteristics and evolutionary history of this epidemic. Here we reconstruct the origin and spatiotemporal dynamics of the major HIV-1 subtype C clades circulating in east Africa. A large number (n = 1,981) of subtype C pol sequences were retrieved from public databases to explore relationships between strains from the east, southern and central African regions. Maximum-likelihood phylogenetic analysis of those sequences revealed that most (>70%) strains from east Africa segregated in a single regional-specific monophyletic group, here called C_EA. A second major Ethiopian subtype C lineage and a large collection of minor Kenyan and Tanzanian subtype C clades of southern African origin were also detected. A Bayesian coalescent-based method was then used to reconstruct evolutionary parameters and migration pathways of the C_EA African lineage. This analysis indicates that the C_EA clade most probably originated in Burundi around the early 1960s, and later spread to Ethiopia, Kenya, Tanzania and Uganda, giving rise to major country-specific monophyletic sub-clusters between the early 1970s and early 1980s. The results presented here demonstrate that a substantial proportion of subtype C infections in east Africa resulted from dissemination of a single HIV local variant, probably originated in Burundi during the 1960s. Burundi was the most important hub of dissemination of that subtype C clade in east Africa, fueling the origin of new local epidemics in Ethiopia, Kenya, Tanzania and Uganda. Subtype C lineages of southern African origin have also been introduced in east Africa, but seem to have had a much more restricted spread.

Global analysis of sequence diversity within HIV-1 subtypes across geographic regions

AIMS: HIV-1 sequence diversity can affect host immune responses and phenotypic characteristics such as antiretroviral drug resistance. Current HIV-1 sequence diversity classification uses phylogeny-based methods to identify subtypes and recombinants, which may overlook distinct subpopulations within subtypes. While local epidemic studies have characterized sequence-level clustering within subtypes using phylogeny, identification of new genotype - phenotype associations are based on mutational correlations at individual sequence positions. We perform a systematic, global analysis of position-specific pol gene sequence variation across geographic regions within HIV-1 subtypes to characterize subpopulation differences that may be missed by standard subtyping methods and sequence-level phylogenetic clustering analyses. MATERIALS #ENTITYSTARTX00026; METHODS: Analysis was performed on a large, globally diverse, cross-sectional pol sequence dataset. Sequences were partitioned into subtypes and geographic subpopulations within subtypes. For each subtype, we identified positions that varied according to geography using VESPA (viral epidemiology signature pattern analysis) to identify sequence signature differences and a likelihood ratio test adjusted for multiple comparisons to characterize differences in amino acid (AA) frequencies, including minority mutations. Synonymous nonsynonymous analysis program (SNAP) was used to explore the role of evolutionary selection witihin subtype C. RESULTS: In 7693 protease (PR) and reverse transcriptase (RT) sequences from untreated patients in multiple geographic regions, 11 PR and 11 RT positions exhibited sequence signature differences within subtypes. Thirty six PR and 80 RT positions exhibited within-subtype geography-dependent differences in AA distributions, including minority mutations, at both conserved and variable loci. Among subtype C samples from India and South Africa, nine PR and nine RT positions had significantly different AA distributions, including one PR and five RT positions that differed in consensus AA between regions. A selection analysis of subtype C using SNAP demonstrated that estimated rates of nonsynonymous and synonymous mutations are consistent with the possibility of positive selection across geographic subpopulations within subtypes. CONCLUSION: We characterized systematic genotypic pol differences across geographic regions within subtypes that are not captured by the subtyping nomenclature. Awareness of such differences may improve the interpretation of future studies determining the phenotypic consequences of genetic backgrounds.

The origin and diversity of the HIV-1 pandemic

This review examines the enormous progress that has been made in the past decade in understanding the origin of HIV, HIV genetic variability, and the impact of global HIV diversity on the pandemic. Multiple zoonotic transmissions of simian immunodeficiency virus (SIV) have resulted in different HIV lineages in humans. In addition, the high mutation and recombination rates during viral replication result in a great genetic variability of HIV within individuals, as well as within populations, upon which evolutionary selection pressures act. The global HIV pandemic is examined in the context of HIV evolution, and the global diversity of HIV subtypes and recombinants is discussed in detail. Finally, the impact of HIV diversity on pathogenesis, transmission, diagnosis, treatment, the immune response, and vaccine development is reviewed.

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.

Chronology and evolution of the HIV-1 subtype C epidemic in Ethiopia

OBJECTIVE

To reconstruct the onset date and evolutionary history of the HIV-1 subtype C epidemic in Ethiopia - one of the earliest recorded subtype C epidemics in the world.

DESIGN

HIV-1 C env sequences with a known sampling year isolated from HIV-1 positive patients from Ethiopia between 1984 and 2003.

METHODS

Evolutionary parameters including origin and demographic growth patterns were estimated using a Bayesian coalescent-based approach under either strict or relaxed molecular clock models.

RESULTS

Bayesian evolutionary analysis indicated a most recent common ancestor date of 1965 with three distinct epidemic growth phases. Regression analysis of root-to-tip distances revealed a highly similar estimate for the origin of the clade. In addition, we reveal that the HIV-1C epidemic in Ethiopia has grown at a faster rate than the epidemic of subtype C in sub-Saharan Africa.

CONCLUSION

Reconstruction of the epidemic history in Ethiopia revealed that subtype C likely originated from either a single lineage or multiple descendents in the late 1960s or early 1970s where it grew exponentially throughout the mid-1970s and early 1980s, corresponding to a wave of urbanization and migration. In light of these findings, we suggest that subtype C strains were circulating at least a decade before previous estimates and the first recognition of symptomatic patients in Ethiopia. The timing of the Ethiopian epidemic is also in agreement with similar HIV-1 epidemics in sub-Saharan Africa.

HIV-1 Subtype C Phylodynamics in the Global Epidemic

The diversity of HIV-1 and its propensity to generate escape mutants present fundamental challenges to control efforts, including HIV vaccine design. Intra-host diversification of HIV is determined by immune responses elicited by an HIV-infected individual over the course of the infection. Complex and dynamic patterns of transmission of HIV lead to an even more complex population viral diversity over time, thus presenting enormous challenges to vaccine development. To address inter-patient viral evolution over time, a set of 653 unique HIV-1 subtype C gag sequences were retrieved from the LANL HIV Database, grouped by sampling year as <2000, 2000, 2001-2002, 2003, and 2004-2006, and analyzed for the site-specific frequency of translated amino acid residues. Phylogenetic analysis revealed that a total of 289 out of 653 (44.3%) analyzed sequences were found within 16 clusters defined by aLRT of more than 0.90. Median (IQR) inter-sample diversity of analyzed gag sequences was 8.7% (7.7%; 9.8%). Despite the heterogeneous origins of analyzed sequences, the gamut and frequency of amino acid residues in wild-type Gag were remarkably stable over the last decade of the HIV-1 subtype C epidemic. The vast majority of amino acid residues demonstrated minor frequency fluctuation over time, consistent with the conservative nature of the HIV-1 Gag protein. Only 4.0% (20 out of 500; HXB2 numbering) amino acid residues across Gag displayed both statistically significant (p<0.05 by both a trend test and heterogeneity test) changes in amino acid frequency over time as well as a range of at least 10% in the frequency of the major amino acid. A total of 59.2% of amino acid residues with changing frequency of 10%+ were found within previously identified CTL epitopes. The time of the most recent common ancestor of the HIV-1 subtype C was dated to around 1950 (95% HPD from 1928 to 1962). This study provides evidence for the overall stability of HIV-1 subtype C Gag among viruses circulating in the epidemic over the last decade. However selected sites across HIV-1C Gag with changing amino acid frequency are likely to be under selection pressure at the population level.

Traditional values of virginity and sexual behaviour in rural Ethiopian youth: results from a cross-sectional study

BACKGROUND

Delaying sexual initiation has been promoted as one of the methods of decreasing risks of HIV among young people. In traditional countries, such as Ethiopia, retaining virginity until marriage is the norm. However, no one has examined the impact of this traditional norm on sexual behaviour and risk of HIV in marriage. This study examined the effect of virginity norm on having sex before marriage and sexual behaviour after marriage among rural Ethiopian youth.

METHODS

We did a cross-sectional survey in 9 rural and 1 urban area using a probabilistic sample of 3,743 youth, 15-24 years of age. Univariate analysis was used to assess associations between virginity norm and gender stratified by area, and between sexual behaviour and marital status. We applied Kaplan-Meier and Cox regression analysis to estimate age at sexual debut and assessed the predictors of premarital sex among the never-married using SPSS.

RESULTS

We found that maintaining virginity is still a way of securing marriage for girls, especially in rural areas; the odds of belief and intention to marry a virgin among boys was 3-4 times higher among rural young males. As age increased, the likelihood of remaining a virgin decreased. There was no significant difference between married and unmarried young people in terms of number of partners and visiting commercial sex workers. Married men were twice more likely to have multiple sexual partners than their female counterparts. A Cox regression show that those who did not believe in traditional values of preserving virginity (adjusted hazard ratio [AHR] = 2.91 [1.92-4.40]), alcohol drinkers (AHR = 2.91 [1.97-4.29]), Khat chewers (AHR = 2.36 [1.45-3.85]), literates (AHR = 18.01 [4.34-74.42]), and the older age group (AHR = 1.85 [1.19-2.91]) were more likely to have premarital sex than their counterparts.

CONCLUSION

Although virginity norms help delay age at sexual debut among rural Ethiopian youth, and thus reduces vulnerability to sexually transmitted infections and HIV infection, vulnerability among females may increase after marriage due to unprotected multiple risky sexual behaviours by spouses. The use of preventive services, such as VCT before marriage and condom use in marriage should be part of the HIV/AIDS prevention and control strategies.

HIV-1 Subtype C gag-specific T-cell responses in relation to human leukocyte antigens in a diverse population of HIV-infected Ethiopians

Knowledge of the most dominant T-cell epitopes in the context of the local human leukocyte antigen (HLA) background is a prerequisite for the development of an effective HIV vaccine. In 100 Ethiopian subjects, 16 different HLA-A, 23 HLA-B, and 12 HLA-C specificities were observed. Ninety-four percent of the population carried at least 1 of the 5 most common HLA-A and/or HLA-B specificities. HIV-specific T-cell responses were measured in 48 HIV-infected Ethiopian subjects representing a wide range of ethnicities in Ethiopia using the interferon (IFN)-gamma enzyme-linked immunospot (Elispot) assay and 49 clade C-specific synthetic Gag peptides. Fifty-eight percent of the HIV-positive study subjects showed T-cell responses directed to 1 or more HIV Gag peptides. Most Gag-specific responses were directed against the subset of peptides spanning Gag p24. The breadth of response ranged from 1 to 9 peptides, with most (78%) individuals showing detectable responses to <3 Gag peptides. The magnitude of HIV-specific T-cell responses was not associated with HIV viral load but correlated positively with CD4 T-cell counts. The most frequently targeted Gag peptides overlapped with those previously described for HIV-1 subtype C-infected southern Africans, and therefore can be used in a multiethnic vaccine.

Increasing genetic distance to HIV-1 subtype B and F1 consensus sequences in the Brazilian epidemic: a challenge for vaccine strategies based on central immunogens?

It has been postulated that the non-synonymous divergence (distance to the subtype consensus sequence) observed in several HIV-1 subtype populations during 1990s attained the maximum limit that is compatible with viral fitness or survival, at least in the V3 env gene domain. To test this hypothesis, 145 subtype B and 64 subtype F env V3 sequences isolated from Brazilian HIV-1 positive patients between 1989 and 2004 were analyzed. HIV-1 env V3 sequences were grouped by year of collection and the mean intra-subtype diversity and divergence were examined at synonymous, non-synonymous, and amino acid level. The analyses clearly show that the mean intra-subtype divergence constantly increases in both subtype populations in the last 15 years, and more importantly, this trend was not only driven by a significant increase of the synonymous distance but also by a significant increase of the non-synonymous and amino acid distances between Brazilian circulating viruses and subtype consensus sequences. These results clearly disagree with the notion that the non-synonymous distance to the HIV-1 subtype consensus observed at population level had already attained the maximum limit, and suggest that the likelihood for success of vaccines based on "central" immunogens, as those based on any other empirically selected viral sequence, could be continuously diminishing over time.

Evolutionary history of HIV-1 subtype B and F infections in Brazil

OBJECTIVE

To reconstruct the onset date of the HIV-1 B and F epidemics in Brazil based on virus diversification over time.

DESIGN

We studied HIV-1 env V3 sequences (210 nt) with a known sampling year isolated from HIV-1 positive patients from Brazil between 1989 and 1997: 101 subtype B sequences and 41 subtype F sequences.

METHODS

HIV-1 V3 env sequences were grouped by year of collection and the relationship between the sampling years of HIV-1 sequences and their genetic distance to the reconstructed common ancestor (intra-population divergence) or to other sequences from the same year (intra-population diversity) was examined by using linear regression analysis.

RESULTS

Regression analysis of nucleotide distances, revealed a highly significant positive correlation between sampling years of subtype B and F V3 sequences and their intra-population divergence (P < 0.001) or diversity (P < 0.0001). In both subtype populations, the divergence and diversity increased at a rate of 0.5 and 0.9% per year, respectively. Considering these evolutionary rates, we estimate the onset of the subtype B and F HIV-1 epidemics in Brazil during early 1970s and early 1980s, respectively.

CONCLUSIONS

The consistent correlation between divergence and diversity of the V3 sequences with their sampling years indicates that the molecular clock is operational in the evolution of the HIV-1 in Brazil's epidemic, and show that subtypes B and F are evolving at a similar rate over time. The dating results suggest a discontinuous introduction of these subtypes in the Brazilian population.

Surveillance technology for HIV-1 subtype C in Ethiopia: an env-based NASBA molecular beacon assay to discriminate between subcluster C and C'

Forty-nine samples with known C2V3 sequences were used for the evaluation of an env-based molecular beacon assay to distinguish between the two genetic subclusters C and C' which characterize the HIV-1 epidemic in Ethiopia. Two subcluster C and two subcluster C' beacons targeting two different loci in the C2V3 region were developed. Using a three beacon-based (2C and 1C'=C prime), isothermal amplification assay, concordance with DNA sequencing was achieved for 43 (87.8%) samples. Sensitivity was 81.8% and specificity 97.4% for subcluster C beacons. For the subcluster C' beacon, a sensitivity of 97% and a specificity of 87.5% was achieved. Five samples were ambiguous by sequencing of which two samples were subcluster C' by the beacon assay and one subcluster C. Two of the samples remained ambiguous with different beacon-pair combinations as well. From samples with a clear C or C' phylogeny by sequencing, three were undetected by the first-line beacon genotyping assay. Genotype ambiguity was resolved in the three samples using beacon pair combinations restricted to each targeted locus. The beacons were evaluated further in a panel including all HIV-1 subtypes. Four of five subtype C isolates were identified correctly, and no cross-reactivity was observed with other subtypes.

Timing and reconstruction of the most recent common ancestor of the subtype C clade of human immunodeficiency virus type 1

Human immunodeficiency virus type 1 (HIV-1) subtype C is responsible for more than 55% of HIV-1 infections worldwide. When this subtype first emerged is unknown. We have analyzed all available gag (p17 and p24) and env (C2-V3) subtype C sequences with known sampling dates, which ranged from 1983 to 2000. The majority of these sequences come from the Karonga District in Malawi and include some of the earliest known subtype C sequences. Linear regression analyses of sequence divergence estimates (with four different approaches) were plotted against sample year to estimate the year in which there was zero divergence from the reconstructed ancestral sequence. Here we suggest that the most recent common ancestor of subtype C appeared in the mid- to late 1960s. Sensitivity analyses, by which possible biases due to oversampling from one district were explored, gave very similar estimates.

A cluster of HIV type 1 subtype C sequences from Ethiopia, observed in full genome analysis, is not sustained in subgenomic regions

The impact of HIV-1 genetic diversity on candidate vaccines is uncertain. One approach to minimize genetic diversity in the evaluation of HIV-1 vaccines is to match the vaccine sequence to the predominant subtype in a vaccine cohort. Over two million Ethiopians are infected with HIV-1, and the predominant subtype is thought to be subtype C. Understanding the phylogenetic relationships between sequences from Ethiopia and within subtype C can help decide what sequence(s) should comprise a candidate vaccine. To that end, nearly full genome sequencing was used to characterize HIV-1 from volunteers who emigrated from Ethiopia. DNA extracted from peripheral blood mononuclear cells (PMBC) was amplified using primers in the long terminal repeats to generate nearly full-length genomes. Amplicons were directly sequenced with dye terminators and automated sequencers. Sequences were phylogenetically analyzed by neighbor joining. The six new Ethiopian sequences were all subtype C, consistent with previous partial and full genome analysis. Together with two other Ethiopian sequences, the new sequences formed a geographic cluster when the complete genome was analyzed. However, subgenomic trees showed only a weak geographic cluster, or none, with respect to Ethiopian strains. Although immunological responses must be considered, from a phylogenetic perspective, there is no compelling support for use of Ethiopian subtype C sequences, compared to other subtype C, as vaccine prototype strains.

Recombination of HIV type 1C (C'/C") in Ethiopia: possible link of EthHIV-1C' to subtype C sequences from the high-prevalence epidemics in India and Southern Africa

The magnitude and complexity of the HIV-1 genetic diversity are major challenges for vaccine development. Investigation of the genotypes circulating in areas of high incidence, as well as their interactions, will be a milestone in the development of an efficacious vaccine. Because HIV-1 subtype C (HIV-1C) is responsible for most of the 36 million infections worldwide we investigated the HIV-1C strains circulating in Ethiopia in a retrospective, cross-sectional study. Serum samples from HIV-1-positive individuals were collected in seven Ethiopian cities and towns. Nucleotide sequences of the gag, pol, and env genes were analyzed. We performed phylogenetic analysis by the neighbor-joining and maximum-likelihood methods with sequences from 30 isolates, and we determined recombination by the bootscanning method as implemented in the SIMPLOT program. Sequence analyses of a 2600-nucleotide fragment (including the gag gene, the protease, and the 5' half of reverse transcriptase of the pol gene) and the corresponding V1V2/C2V3 envelope regions confirmed that two distinct HIV-1C genotypes (C' and C") are cocirculating in Ethiopia, as shown previously by the analysis of the C2V3 envelope region. We have identified intrasubtype recombination between the two HIV-1C genotypes, C' and C", with 6 of the 30 (20%) analyzed viruses being recombinants. The C' sequences were phylogenetically linked to the fast spreading viruses in India and southern Africa. Furthermore, all the recombinant viruses shared the C' V1V3 region of the envelope, suggesting that the prevalence of viruses with the C' envelope is increasing compared to the C" envelope. The possibility that viruses with a C' envelope have a biological advantage over the viruses with a C" envelope should be further investigated in biological and epidemiological studies.

HIV type 1 C and C' subclusters based on long terminal repeat sequences in the Ethiopian type 1 subtype C epidemic

While the Ethiopian HIV-1 epidemic is dominated by subtype C, two distinguishable cocirculating C genotypes have been identified based on sequences of the C2V3 envelope region. In this study we sequenced and analyzed the long terminal repeat (LTR) sequence from 22 Ethiopian HIV-1-positive individuals. The two phylogenetically distinguishable genotypes C (n = 13) and C' (n = 4) are separated by significant bootstrap values. Nucleotide differences between the two groups were identified in the NF-AT, TCF-1alpha, and SP1 transcription factor binding sites, whereas the NF-kappaB and NRE-core sequences were identical between the two groups. Five isolates that could not be classified C or C' were found to be recombinants within the LTR sequence upon boots can analysis. Comparison of all the LTR sequences with their corresponding C2V3 envelope sequence revealed four intersubtype C/C' recombinant isolates. Thus, the prevalence of C/C' recombinant viruses is well over 40%. Interestingly, the C2V3 envelope sequences of all recombinant viruses belonged to the genotype C', whereas every LTR sequence belonged to the genotype C. This result indicates that recombination between the two genotypes is unidirectional, possibly as the result of evolutionary pressure on the respective biological functions of the LTR promoter and the envelope protein.

Mortality impact of AIDS in Addis Ababa, Ethiopia

OBJECTIVE

To measure the impact of HIV on mortality in Addis Ababa, Ethiopia.

DESIGN

A retrospective review of burials at three cemeteries, 1987-2001 and a prospective surveillance of burials at all (n = 70) cemeteries, February-May, 2001.

METHODS

The age, sex, and date of burial were recorded; in the absence of denominators, we compared the ratio of deaths of persons 25-49 versus 5-14 years of age per calendar year, using logistic regression, adjusting for sex and site. The age- and sex- specific mortality were calculated and compared with pre-HIV mortality in 1984.

RESULTS

Of 17,519 deaths, retrospectively reviewed, complete data were available for 6342 (47%) females and 7269 (53%) males. During 1987-2001, the '25-49' versus '5-14' group all-cause mortality ratio increased by 8.5% per calendar year (P < 0.05). A total of 5101 deaths were recorded in the prospective surveillance. Crude mortality rates were 9.5/1000 per year (men) and 7.1/1000 per year (women). In comparison with 1984, 5.0-times as many men and 5.3-times as many women died in the age group 35-39 years. Attributing the increase in mortality in ages 15-60 to HIV in the period 1984-2001, Ethiopian men and women have a probability of 18.8 and 17.8%, respectively, of dying of HIV before age 60.

CONCLUSION

Burials increased significantly among the '25-49', versus the '5-14' group, during the period 1987-2001. This trend, and a five-times higher mortality in 2001 than in 1984 in those aged 35-39 years demonstrate a severe impact of HIV on mortality. Continuing surveillance of burials is recommended.

Primary HIV-1 subtype C infection in Ethiopia

Between 1997 and 2001, 1624 Ethiopian factory workers were enrolled in prospective HIV-1 cohorts in Ethiopia, at Akaki and Wonji towns. HIV-1 seroprevalence at intake was 11.8% (Akaki) and 7.1% (Wonji). HIV-1 incidence was .75 per 100 person-years (Akaki) and .35 per 100 person-years (Wonji). During follow up, CD4 T-cell counts remained significantly lower and CD8 T-cell counts significantly higher in Ethiopian seroconverters compared with Dutch seroconverters. Viral loads were lower in Ethiopian seroconverters versus Dutch seroconverters in the first months after seroconversion, subsequently increasing to similar levels. All 20 Ethiopian seroconverters were infected with HIV-1 subtype C (15 with sub-cluster C' and 5 with sub-cluster C). Viral loads were higher in sub-cluster C'-infected Ethiopian seroconverters. One subject demonstrated a window period of at least 204 days, combined with a high preseroconversion viral load and no decline of CD4 T cells over a follow-up period of at least 3 years.

The application of molecular phylogenetics to the analysis of viral genome diversity and evolution

DNA sequencing and molecular phylogenetics are increasingly being used in virology laboratories to study the transmission of viruses. By reconstructing the evolutionary history of viral genomes the behaviour of viral populations can be modelled, and the future of epidemics may be forecast. The manner in which such viral DNA sequences are analysed is the focus of this review. Many researchers resort to the often-quoted 'black box' approach because phylogenetics theory can be daunting, and phylogenetics software packages can appear to be difficult to use. However, because phylogenetic analyses are often used in important and sensitive arenas, for example to provide evidence indicating transmission between persons, it is vital that appropriate care is taken to estimate reliably true relationships. In this review, we discuss how a molecular phylogenetics study should be approached, give an overview of the methods and programs for analysing DNA sequence data, and point readers to appropriate texts for further details. The aim of this review, therefore, is to provide researchers with an easy to understand guide to molecular phylogenetics, with special reference to viral genomes.

Human immunodeficiency virus type 1 subtype C molecular phylogeny: consensus sequence for an AIDS vaccine design?

An evolving dominance of human immunodeficiency virus type 1 subtype C (HIV-1C) in the AIDS epidemic has been associated with a high prevalence of HIV-1C infection in the southern African countries and with an expanding epidemic in India and China. Understanding the molecular phylogeny and genetic diversity of HIV-1C viruses may be important for the design and evaluation of an HIV vaccine for ultimate use in the developing world. In this study we analyzed the phylogenetic relationships (i) between 73 non-recombinant HIV-1C near-full-length genome sequences, including 51 isolates from Botswana; (ii) between HIV-1C consensus sequences that represent different geographic subsets; and (iii) between specific isolates and consensus sequences. Based on the phylogenetic analyses of 73 near-full-length genomes, 16 "lineages" (a term that is used hereafter for discussion purposes and does not imply taxonomic standing) were identified within HIV-1C. The lineages were supported by high bootstrap values in maximum-parsimony and neighbor-joining analyses and were confirmed by the maximum-likelihood method. The nucleotide diversity between the 73 HIV-1C isolates (mean value of 8.93%; range, 2.9 to 11.7%) was significantly higher than the diversity of the samples to the consensus sequence (mean value of 4.86%; range, 3.3 to 7.2%, P < 0.0001). The translated amino acid distances to the consensus sequence were significantly lower than distances between samples within all HIV-1C proteins. The consensus sequences of HIV-1C proteins accompanied by amino acid frequencies were presented (that of Gag is presented in this work; those of Pol, Vif, Vpr, Tat, Rev, Vpu, Env, and Nef are presented elsewhere [http://www.aids.harvard.edu/lab_research/concensus_sequence.htm]). Additionally, in the promoter region three NF-kappa B sites (GGGRNNYYCC) were identified within the consensus sequences of the entire set or any subset of HIV-1C isolates. This study suggests that the consensus sequence approach could overcome the high genetic diversity of HIV-1C and facilitate an AIDS vaccine design, particularly if the assumption that an HIV-1C antigen with a more extensive match to the circulating viruses is likely to be more efficacious is proven in efficacy trials.