Age, sex, and HIV seroprevalence among individuals from different parts of India tested for HIV infection in a nongovernmental setting.

India has a large population of HIV-infected individuals, but the amount of information available about this population is small and not commensurate with the population's size. Here, we report the age and sex for 11,925 individuals tested for HIV infection in a nongovernmental setting over a 36-month period. The samples were derived from 161 sites located in different parts of the country and the odds of HIV infection among males was 2.27 times that for females. Of the samples from males and females tested, 50 and 65%, respectively, were in the 16-35 year age group. Of the seropositive samples excluding less than 1 year of age, 92% were in the 16-50 year age group. Analysis of this testing data provides limited but valuable information on the HIV epidemic in India.

Influence of random genetic drift on human immunodeficiency virus type 1 env evolution during chronic infection.

Human immunodeficiency virus type 1 (HIV-1) has high replication and mutation rates that generate large census populations and high levels of genetic variation. We examined the roles of natural selection, population growth, random genetic drift, and recombination in shaping the variation in 1509 C2-V5 env sequences derived from nine men with chronic HIV-1 infection. These sequences were obtained from clinical visits that reflect the first 6-13.7 years of infection. Pairwise comparisons of nonsynonymous and synonymous distances, Tajima's D test, Fu and Li's D* test, and a test of recurrent mutation revealed evidence for episodes of nonneutral evolution in a total of 22 out of 145 blood samples, representing six of the nine individuals. Using three coalescent-based maximum-likelihood estimators, we found viral effective population sizes in all nine individuals to be approximately 10(3). We also show that a previous estimate of the effective population size of approximately 10(5) based on rare haplotype frequencies decreases to approximately 10(3) upon correcting a biased sampling procedure. We conclude that the genetic variation in these data sets can be explained by a predominance of random genetic drift of neutral mutations with brief episodes of natural selection that were frequently masked by recombination.

Inferring viral population structures using heteroduplex mobility and DNA sequence analyses.

Heteroduplex mobility (HMA) and tracking assays (HTA) are used to assess genetic relationships between DNA molecules. While distinguishing relationships between clonal or nearly clonal molecules is relatively straightforward, inferring population structures is more complex. To address this issue, HIV-1 quasispecies with varying levels of diversity were studied using both HTA and DNA sequencing. Viral diversity estimates and the temporal features of virus evolution were found to be generally concordant between HTA and DNA sequencing. In addition, the distribution of pairwise differences and the rates of virus divergence were similar between the two methods. These findings support the use of HTA to characterize variant populations of DNA and strengthen previous inferences concerning the evolution of HIV-1 over the course of infection.

Minimization of genetic distances by the consensus, ancestral, and center-of-tree (COT) sequences for HIV-1 variants within an infected individual and the design of reagents to test immune reactivity.

Eliciting maximal immune responses to highly divergent viruses is a challenge and a focus in AIDS vaccine development. Another challenge is to identify the immune correlates of protective immunity. Recent AIDS vaccine design approaches attempt to use reconstructed centralized viral sequences that minimize genetic differences to circulating viruses. Using these approaches, we derive and analyze consensus (CON), ancestral (ANC), and center-of-tree (COT) sequences to represent intra-individual HIV-1 env variants encoding a range of diversities and phylogenetic structures. Each reconstructed sequence significantly minimized genetic distances to extant sequences throughout the first 5 years of infection of an individual. Interestingly, ANC sequences diverged and were not significantly better than extant sequences in minimizing genetic distances at later stages of infection and disease, likely due to the development of a substantially asymmetric phylogeny. COT or CON sequences derived from autologous virus samplings may be useful for increasing the sensitivity of assessments of immune reactivity against HIV.

Two-sample tests for comparing intra-individual genetic sequence diversity between populations.

Consider a study of two groups of individuals infected with a population of a genetically related heterogeneous mixture of viruses, and multiple viral sequences are sampled from each person. Based on estimates of genetic distances between pairs of aligned viral sequences within individuals, we develop four new tests to compare intra-individual genetic sequence diversity between the two groups. This problem is complicated by two levels of dependency in the data structure: (i) Within an individual, any pairwise distances that share a common sequence are positively correlated; and (ii) for any two pairings of individuals which share a person, the two differences in intra-individual distances between the paired individuals are positively correlated. The first proposed test is based on the difference in mean intra-individual pairwise distances pooled over all individuals in each group, standardized by a variance estimate that corrects for the correlation structure using U-statistic theory. The second procedure is a nonparametric rank-based analog of the first test, and the third test contrasts the set of subject-specific average intra-individual pairwise distances between the groups. These tests are very easy to use and solve correlation problem (i). The fourth procedure is based on a linear combination of all possible U-statistics calculated on independent, identically distributed sequence subdatasets, over the two levels (i) and (ii) of dependencies in the data, and is more complicated than the other tests but can be more powerful. Although the proposed methods are empirical and do not fully utilize knowledge from population genetics, the tests reflect biology through the evolutionary models used to derive the pairwise sequence distances. The new tests are evaluated theoretically and in a simulation study, and are applied to a dataset of 200 HIV sequences sampled from 21 children.

Genetic analysis of Toll/Interleukin-1 Receptor (TIR) domain sequences from rhesus macaque Toll-like receptors (TLRs) 1-10 reveals high homology to human TLR/TIR sequences.

Toll-like receptors (TLRs) form a major group of pattern recognition receptors of the innate immune system that sense molecular patterns on microbes. The cytoplasmic Toll/Interleukin-1 Receptor (TIR) signaling domain is instrumental in inducing a signaling cascade upon recognition of specific ligands by TLRs. Because nonhuman primates are used as models of infectious and immune processes, we sought to obtain an increased understanding of nonhuman primate TLRs. We obtained the nucleotide sequences of the TIR domains of rhesus macaque TLRs 1-10 and examined their genetic relationships to TLRs from humans and mice. Alignment of the deduced amino acid sequences revealed macaque-specific changes mostly outside the conserved "Box" regions of the TLR/TIR domain. Assessment of mutational biases among TLRs from multiple species revealed a strong overall bias towards synonymous substitutions, with a few short regions showing evidence for positive selection outside the Box regions. This first presentation of the TLR/TIR domain sequences from nonhuman primates indicates that although there are species-specific differences, a high level of sequence homology exists in the critical signaling Box regions of macaque, human, and murine TLR/TIR domains. These findings suggest that animal models, including nonhuman primates, will be useful in modeling human TLR pathophysiology and therapy.

Tat protein of human immunodeficiency virus type 1 subtype C strains is a defective chemokine.

Human immunodeficiency virus type 1 (HIV-1)-associated dementia (HAD) is correlated with increased monocyte migration to the brain, and the incidence of HAD among otherwise asymptomatic subjects appears to be lower in India than in the United States and Europe (1 to 2% versus 15 to 30%). Because of the genetic differences between HIV-1 strains circulating in these regions, we sought to identify viral determinants associated with this difference. We targeted Tat protein for these studies in view of its association with monocyte chemotactic function. Analyses of Tat sequences representing nine subtypes revealed that at least six amino acid residues are differentially conserved in subtype C Tat (C-Tat). Of these, cysteine (at position 31) was highly (>99%) conserved in non-subtype C viruses and more than 90% of subtype C viruses encoded a serine. We hypothesized a compromised chemotactic function of C-Tat due to the disruption of CC motif and tested it with the wild type C-Tat (CS) and its two isogenic variants (CC and SC) derived by site-directed mutagenesis. We found that the CS natural variant was defective for monocyte chemotactic activity without a loss in the transactivation property. While the CC mutant is functionally competent for both the functions, in contrast, the SC mutant was defective in both. Therefore, the loss of the C-Tat chemotactic property may underlie the reduced incidence of HAD; although not presenting conclusive evidence, this study provides the first evidence for a potential epidemiologic phenomenon associated with biological differences in the subtype C viruses.

Early induction and maintenance of Env-specific T-helper cells following human immunodeficiency virus type 1 infection.

Mounting evidence points to a role for CD4+ T-helper (Th) cell activities in controlling human immunodeficiency virus type 1 (HIV-1) infection. To determine the induction and evolution of Th responses following acute infection, we prospectively analyzed Env- and Gag-specific Th responses longitudinally for 92 patients with acute (n = 28) or early (n = 64) HIV-1 infection (median, 55 days postinfection [DPI]). The probability of detecting HIV-1-specific lymphoproliferative responses was remarkably low, and when present, the responses were more likely to be Gag specific than Env specific (16 versus 5%). Env-specific responses were significantly more common in patients presenting at <30 DPI than in those presenting at 30 to 365 DPI (21 versus 0.5%, P = 0.001). By contrast, Gag-specific responses occurred with similar frequencies among subjects presenting at <30 DPI and 30 to 365 DPI (13 versus 17%, P = 0.6). After treatment, and regardless of the duration of infection before therapy, Gag-specific Th responses predominated. Furthermore, some acutely infected subjects lost detectable Env-specific Th proliferative responses, which failed to reemerge upon treatment. Detailed analysis for one such subject revealed Env-specific lymphoproliferation at 11 DPI but no detectable Env-specific lymphoproliferation or ex vivo gamma interferon (IFN-gamma) secretion at multiple subsequent time points. Env-specific CD4+ T-cell clones from 11 DPI recognized six epitopes in both conserved and variable regions within gp120 and gp41, exhibited major histocompatibility complex-restricted cytotoxicity, and secreted high levels of antiviral cytokines. T-cell receptor clonal transcript analyses and autologous virus sequencing revealed that Th cells induced during acute infection were maintained and there were no Th escape mutations. Subsequent analysis for this subject and six of seven others revealed detectable IFN-gamma-secreting cells, but only following in vitro gp160 stimulation. In summary, we conclude that Env-specific Th responses are elicited very early in acute infection and may precede Gag-specific responses. The inability to detect Env-specific Th responses over time and despite antiretroviral therapy may reflect low frequencies and impaired proliferative capacity, and viral escape is not necessary for this to occur.

Improved coreceptor usage prediction and genotypic monitoring of R5-to-X4 transition by motif analysis of human immunodeficiency virus type 1 env V3 loop sequences.

Early in infection, human immunodeficiency virus type 1 (HIV-1) generally uses the CCR5 chemokine receptor (along with CD4) for cellular entry. In many HIV-1-infected individuals, viral genotypic changes arise that allow the virus to use CXCR4 (either in addition to CCR5 or alone) as an entry coreceptor. This switch has been associated with an acceleration of both CD3(+) T-cell decline and progression to AIDS. While it is well known that the V3 loop of gp120 largely determines coreceptor usage and that positively charged residues in V3 play an important role, the process of genetic change in V3 leading to altered coreceptor usage is not well understood. Further, the methods for biological phenotyping of virus for research or clinical purposes are laborious, depend on sample availability, and present biosafety concerns, so reliable methods for sequence-based "virtual phenotyping" are desirable. We introduce a simple bioinformatic method of scoring V3 amino acid sequences that reliably predicts CXCR4 usage (sensitivity, 84%; specificity, 96%). This score (as determined on the basis of position-specific scoring matrices [PSSM]) can be interpreted as revealing a propensity to use CXCR4 as follows: known R5 viruses had low scores, R5X4 viruses had intermediate scores, and X4 viruses had high scores. Application of the PSSM scoring method to reconstructed virus phylogenies of 11 longitudinally sampled individuals revealed that the development of X4 viruses was generally gradual and involved the accumulation of multiple amino acid changes in V3. We found that X4 viruses were lost in two ways: by the dying off of an established X4 lineage or by mutation back to low-scoring V3 loops.

Identification of subtype C human immunodeficiency virus type 1 by subtype-specific PCR and its use in the characterization of viruses circulating in the southern parts of India.

Human immunodeficiency virus type 1 (HIV-1) subtype C viruses are associated with nearly half of worldwide HIV-1 infections and are most predominant in India and the southern and eastern parts of Africa. Earlier reports from India identified the preponderance of subtype C and a small proportion of subtype A viruses. Subsequent reports identifying multiple subtypes suggest new introductions and/or their detection due to extended screening. The southern parts of India constitute emerging areas of the epidemic, but it is not known whether HIV-1 infection in these areas is associated with subtype C viruses or is due to the potential new introduction of non-subtype C viruses. Here, we describe the development of a specific and sensitive PCR-based strategy to identify subtype C-viruses (C-PCR). The strategy is based on amplifying a region encompassing a long terminal repeat and gag in the first round, followed by two sets of nested primers; one amplifies multiple subtypes, while the other is specific to subtype C. The common HIV and subtype C-specific fragments are distinguishable by length differences in agarose gels and by the difference in the numbers of NF-kappaB sites encoded in the subtype C-specific fragment. We implemented this method to screen 256 HIV-1-infected individuals from 35 towns and cities in four states in the south and a city in the east. With the exception of single samples of subtypes A and B and a B/C recombinant, we found all to be infected with subtype C viruses, and the subtype assignments were confirmed in a subset by using heteroduplex mobility assays and phylogenetic analysis of sequences. We propose the use of C-PCR to facilitate rapid molecular epidemiologic characterization to aid vaccine and therapeutic strategies.

Enhanced detection of human immunodeficiency virus type 1-specific T-cell responses to highly variable regions by using peptides based on autologous virus sequences.

The antigenic diversity of human immunodeficiency virus type 1 (HIV-1) represents a significant challenge for vaccine design as well as the comprehensive assessment of HIV-1-specific immune responses in infected persons. In this study we assessed the impact of antigen variability on the characterization of HIV-1-specific T-cell responses by using an HIV-1 database to determine the sequence variability at each position in all expressed HIV-1 proteins and a comprehensive data set of CD8 T-cell responses to a reference strain of HIV-1 in infected persons. Gamma interferon Elispot analysis of HIV-1 clade B-specific T-cell responses to 504 overlapping peptides spanning the entire expressed HIV-1 genome derived from 57 infected subjects demonstrated that the average amino acid variability within a peptide (entropy) was inversely correlated to the measured frequency at which the peptide was recognized (P = 6 x 10(-7)). Subsequent studies in six persons to assess T-cell responses against p24 Gag, Tat, and Vpr peptides based on autologous virus sequences demonstrated that 29% (12 of 42) of targeted peptides were only detected with peptides representing the autologous virus strain compared to the HIV-1 clade B consensus sequence. The use of autologous peptides also allowed the detection of significantly stronger HIV-1-specific T-cell responses in the more variable regulatory and accessory HIV-1 proteins Tat and Vpr (P = 0.007). Taken together, these data indicate that accurate assessment of T-cell responses directed against the more variable regulatory and accessory HIV-1 proteins requires reagents based on autologous virus sequences. They also demonstrate that CD8 T-cell responses to the variable HIV-1 proteins are more common than previously reported.