Are all subtypes created equal? The effectiveness of antiretroviral therapy against non-subtype B HIV-1

Comparing mutational pathways to lopinavir resistance in HIV-1 subtypes B versus C

Although combination antiretroviral therapies seem to be effective at controlling HIV-1 infections regardless of the viral subtype, there is increasing evidence for subtype-specific drug resistance mutations. The order and rates at which resistance mutations accumulate in different subtypes also remain poorly understood. Most of this knowledge is derived from studies of subtype B genotypes, despite not being the most abundant subtype worldwide. Here, we present a methodology for the comparison of mutational networks in different HIV-1 subtypes, based on Hidden Conjunctive Bayesian Networks (H-CBN), a probabilistic model for inferring mutational networks from cross-sectional genotype data. We introduce a Monte Carlo sampling scheme for learning H-CBN models for a larger number of resistance mutations and develop a statistical test to assess differences in the inferred mutational networks between two groups. We apply this method to infer the temporal progression of mutations conferring resistance to the protease inhibitor lopinavir in a large cross-sectional cohort of HIV-1 subtype C genotypes from South Africa, as well as to a data set of subtype B genotypes obtained from the Stanford HIV Drug Resistance Database and the Swiss HIV Cohort Study. We find strong support for different initial mutational events in the protease, namely at residue 46 in subtype B and at residue 82 in subtype C. The inferred mutational networks for subtype B versus C are significantly different sharing only five constraints on the order of accumulating mutations with mutation at residue 54 as the parental event. The results also suggest that mutations can accumulate along various alternative paths within subtypes, as opposed to a unique total temporal ordering. Beyond HIV drug resistance, the statistical methodology is applicable more generally for the comparison of inferred mutational networks between any two groups.

There is a disparity in the distribution of infections by HIV-1 subtype in the world. Subtype B is predominant in America, Australia and western and central Europe, and most therapeutic strategies are based on research and clinical studies on this subtype. However, non-B subtypes represent the majority of global HIV-1 infections; e.g., subtype C alone accounts for nearly half of all HIV-1 infections. We present a statistical framework enabling the comparison of patterns of accumulating mutations in different HIV-1 subtypes. Specifically, we compare the temporal ordering of lopinavir resistance mutations in HIV-1 subtypes B versus C. To this end, we combine the Hidden Conjunctive Bayesian Network (H-CBN) model with an approximate inference scheme enabling comparisons of larger networks. We show that the development of resistance to lopinavir differs significantly between subtypes B and C, such that findings based on subtype B sequences can not always be applied to sybtype C. The described methodology is suitable for comparing different subgroups in the context of other evolutionary processes.

Impact of Early Pandemic Stage Mutations on Molecular Dynamics of SARS-CoV-2 Mpro

A new coronavirus (SARS-CoV-2) is a global threat to world health and economy. Its dimeric main protease (Mpro), which is required for the proteolytic cleavage of viral precursor proteins, is a good candidate for drug development owing to its conservation and the absence of a human homolog. Improving our understanding of Mpro behavior can accelerate the discovery of effective therapies to reduce mortality. All-atom molecular dynamics (MD) simulations (100 ns) of 50 mutant Mpro dimers obtained from filtered sequences from the GISAID database were analyzed using root-mean-square deviation, root-mean-square fluctuation, Rg, averaged betweenness centrality, and geometry calculations. The results showed that SARS-CoV-2 Mpro essentially behaves in a similar manner to its SAR-CoV homolog. However, we report the following new findings from the variants: (1) Residues GLY15, VAL157, and PRO184 have mutated more than once in SARS CoV-2; (2) the D48E variant has lead to a novel "TSEEMLN"" loop at the binding pocket; (3) inactive apo Mpro does not show signs of dissociation in 100 ns MD; (4) a non-canonical pose for PHE140 widens the substrate binding surface; (5) dual allosteric pockets coinciding with various stabilizing and functional components of the substrate binding pocket were found to display correlated compaction dynamics; (6) high betweenness centrality values for residues 17 and 128 in all Mpro samples suggest their high importance in dimer stability-one such consequence has been observed for the M17I mutation whereby one of the N-fingers was highly unstable. (7) Independent coarse-grained Monte Carlo simulations suggest a relationship between the rigidity/mutability and enzymatic function. Our entire approach combining database preparation, variant retrieval, homology modeling, dynamic residue network (DRN), relevant conformation retrieval from 1-D kernel density estimates from reaction coordinates to other existing approaches of structural analysis, and data visualization within the coronaviral Mpro is also novel and is applicable to other coronaviral proteins.

Viral Genetic Diversity and Polymorphisms in a Cohort of HIV-1-Infected Patients Eligible for Initiation of Antiretroviral Therapy in Abuja, Nigeria

Studying the genetic diversity and natural polymorphisms of HIV-1 would benefit our understanding of HIV drug resistance (HIVDR) development and predict treatment outcomes. In this study, we have characterized the HIV-1 genetic diversity and natural polymorphisms at the 5' region of the pol gene encompassing the protease (PR) and reverse transcriptase (RT) from 271 plasma specimens collected in 2008 from HIV-1-infected patients who were eligible for initiating antiretroviral therapy in Abuja (Nigeria). The analysis indicated that the predominant subtype was subtype G (31.0%), followed by CRF02-AG (19.2 %), CRF43-02G (18.5%), and A/CRF36-cpx (11.4%); the remaining (19.9%) were other subtypes and circulating (CRF) and unique (URF) recombinant forms. Recombinant viruses (68.6%) were the major viral strains in the region. Eighty-four subtype G sequences were further mainly classified into two major and two minor clusters; sequences in the two major clusters were closely related to the HIV-1 strains in two of the three major subtype G clusters detected worldwide. Those in the two minor clusters appear to be new subtype G strains circulating only in Abuja. The pretreatment DR prevalence was <3%; however, numerous natural polymorphisms were present. Eleven polymorphic mutations (G16E, K20I, L23P, E35D, M36I, N37D/S/T, R57K, L63P, and V82I) were detected in the PR that were subtype or CRF specific while only three mutations (D123N, I135T, and I135V) were identified in the RT. Overall, this study indicates an evolving HIV-1 epidemic in Abuja with recombinant viruses becoming the dominant strains and the emergence of new subtype G strains; pretreatment HIVDR was low and the occurrence of natural polymorphism in the PR region was subtype or CRF dependent.

Differences in implementation of HIV/AIDS clinical research in developed versus developing world: an evidence-based review on protease inhibitor use among women and minorities

The aim of this revision is to evaluate ethnicity and gender rate of enrolment in registrative clinical trials of the protease inhibitors (Pis) from 1996 to 2009. Company-sponsored, phase II or III registrative clinical trials of PIs were evaluated. Forty-nine clinical trials were included. Clinical trials were conducted in centres in North America ( n = 39), Central-South America ( n = 22), Europe ( n = 22), Africa ( n = 8), Asia ( n = 5), Australia ( n = 10). Overall mean age was 39.6 years; median proportion of women was 16.3%. The most represented ethnic group was Caucasian. A test for trend over time (1996-2009) shows a significant increase in the proportion of women included ( P = 0.012), and a decrease in the proportion of Caucasians included, reaching borderline significance ( P = 0.061). An inverse correlation was observed between the proportion of Caucasians and that of women enrolled in each study ( r = 0.65, P < 0.0001). Women were less likely to be included in double-blind studies (11.2% versus 17%, P = 0.019). Clinical trials for treatment-naive subjects were more likely to enrol ethnicities other than Caucasian compared with Caucasian (44.7% versus 27.1 %, respectively, P = 0.04). Rates of enrolment of minorities in registrative clinical trials for PIs show a positive trend since 1996, mirroring the growing number of people of different ethnic groups accessing ART.

Human immunodeficiency virus type 1 in Ireland: phylogenetic evidence for risk group-specific subepidemics

HIV genetic diversity may have an impact on viral pathogenesis, transmission, response to treatment, and vaccine development. Public health surveillance that monitors the frequency and variety of HIV subtypes in a particular region or patient group is vital to successfully control the pandemic. We present the first comprehensive report on HIV diversity in Ireland. This study comprised all new HIV-1 diagnoses that were confirmed in the National Virus Reference Laboratory, University College Dublin, from January 2004 to December 2008. HIV 1 protease and reverse transcriptase sequences were generated using the Siemens Trugene HIV 1 Genotyping System. Subtypes were determined using web-based genotyping tools. There were 1579 new diagnoses [615 (39%) female and 964 (61%) male], of which 1060 had HIV-1 RNA specimens available for sequencing. Of sequenced samples, HIV-1 subtype B accounted for 50% overall, decreasing from 55.1% in 2004 to 49.5% in 2008. In addition, subtype B accounted for more than 80% of Irish-born individuals and more than 90% of Irish-born injection drug users and men who have sex with men. Subtype C was the second most prevalent in the overall cohort, accounting for 25%, although it accounted for only 6.1% of Irish-born individuals, with no evidence of in country transmission. The prevalence of non-subtype B HIV-1 infection in Ireland is increasing. However, these appear primarily to be imported infections not yet circulating within traditional Irish risk groups. Enhanced HIV-1 molecular epidemiology surveillance is required to monitor the spread of HIV-1, to inform future public health policy, and to ultimately control the HIV-1 epidemic in Ireland.

Regional differences in predictive accuracy of WHO immunologic failure criteria

We compared the performance of the WHO immunologic criteria for treatment failure among Uganda and American patients. Antiretroviral treatment-naive patients with a CD4 T-cell count less than 200 cells/μl or AIDS at enrollment on a nonnucleoside reverse transcriptase inhibitors-based regimen for more than 1 year were selected. For all criteria, the positive predictive value was significantly higher in the American compared with the Ugandan patients. Population-specific guidelines should be developed using large African cohorts to identify more specific and sensitive criteria.

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.

Molecular epidemiology of HIV-1 clades in Southern Brazil

Human immunodeficiency virus (HIV) clades B and C account for more than 60% of the HIV-1 infections worldwide. In this paper, we describe the profiles of patients infected with subtypes of HIV-1 from the state of Paraná, Southern Brazil, and correlate them with demographic and epidemiological findings. A retrospective analysis of HIV cases reported from 1999-2007 was also performed. Data from 293 patients were reviewed and 245 were older than 13 (58% female). The distribution of clades was as follows: B 140 (57%), C 67 (23%), F 24 (10%) and mosaic or unique recombinant forms (URFs) 24 (10%). Of the 48 patients younger than 13 years of age (62.5% male), vertical transmission occurred in 46 and the distribution of clades was as follows: B 14 (29%), C 24 (50%), F 7 (15%) and URFs 6 (13%). There was no significant difference in mortality between HIV-1 subtypes. In both groups, patients infected with clade C tended to have higher rates of injection drug use exposure risk.

Selection of nonnucleoside reverse transcriptase inhibitor-associated mutations in HIV-1 subtype C: evidence of etravirine cross-resistance

Prevalence of etravirine genotypic resistance was assessed among 92 HIV-1C-infected patients failing nevirapine and efavirenz-based regimens from a cohort of 552 Indian patients. Overall, prevalence of etravirine cross-resistance identified using the Tibotec Weighted Score was 41% (31.5% intermediately-resistant and 9.8% fully-resistant). The most frequently described nonnucleoside reverse transcriptase inhibitor-associated mutations included Y181 (35.9%), K101 (20.7%), G190 (17.4%), and V108 (15.2%). The resistant group demonstrated higher viral load (P = 0.01) and longer duration of antiretroviral treatment (P = 0.03) compared with the susceptible group.

Comparison of methods to detect HIV dual infection

Current methods to detect intraclade HIV dual infection are poorly suited for determining its prevalence in large cohorts. To investigate the potential of ultra-deep sequencing to screen for dual infection, we compared it to bulk sequence-based synonymous mixture index and the current standard of single genome sequencing. The synonymous mixture index identified samples likely to harbor dual infection, while ultra-deep sequencing captured more intra-host viral diversity than single genome sequencing at approximately 40% of the cost and 20% of the laboratory and analysis time. The synonymous mixture index and ultra-deep sequencing are promising methods for rapid and cost-effective systematic identification of HIV dual infection.

Detecting retroviral sequences in chronic fatigue syndrome

XMRV or xenotropic murine leukemia virus-related retrovirus, a recently discovered retrovirus, has been linked to both prostate cancer and chronic fatigue syndrome (CFS). Recently, the teams of Drs. Shyh-Ching Lo and Harvey Alter discovered the presence of sequences closely related to XMRV in the blood of 86.5% of patients with CFS [1]. These findings are important because since the initial discovery of XMRV in CFS, several studies have failed to find XMRV in specimens collected from CFS patients. While the current study also did not find XMRV in CFS, Lo et al. did detect sequences that belong to polytropic mouse endogenous retroviruses (PMV), which share considerable similarity with XMRV. Criteria for future studies that will help bring greater clarity to the issue of retroviral sequences in CFS are proposed below.