Fluidity of HIV-1-Specific T-Cell Responses during Acute and Early Subtype C HIV-1 Infection and Associations with Early Disease Progression

Deciphering immune events during early stages of human immunodeficiency virus type 1 (HIV-1) infection is critical for understanding the course of disease. We characterized the hierarchy of HIV-1-specific T-cell gamma interferon (IFN-γ) enzyme-linked immunospot (ELISPOT) assay responses during acute subtype C infection in 53 individuals and associated temporal patterns of responses with disease progression in the first 12 months. There was a diverse pattern of T-cell recognition across the proteome, with the recognition of Nef being immunodominant as early as 3 weeks postinfection. Over the first 6 months, we found that there was a 23% chance of an increased response to Nef for every week postinfection (P = 0.0024), followed by a nonsignificant increase to Pol (4.6%) and Gag (3.2%). Responses to Env and regulatory proteins appeared to remain stable. Three temporal patterns of HIV-specific T-cell responses could be distinguished: persistent, lost, or new. The proportion of persistent T-cell responses was significantly lower (P = 0.0037) in individuals defined as rapid progressors than in those progressing slowly and who controlled viremia. Almost 90% of lost T-cell responses were coincidental with autologous viral epitope escape. Regression analysis between the time to fixed viral escape and lost T-cell responses (r = 0.61; P = 0.019) showed a mean delay of 14 weeks after viral escape. Collectively, T-cell epitope recognition is not a static event, and temporal patterns of IFN-γ-based responses exist. This is due partly to viral sequence variation but also to the recognition of invariant viral epitopes that leads to waves of persistent T-cell immunity, which appears to associate with slower disease progression in the first year of infection.For more than a decade, there has been a wealth of evidence to show that human immunodeficiency virus (HIV)-specific cytotoxic T-cell (CTL) responses play a role in the control of HIV-1 and simian immunodeficiency virus (SIV) infection. In humans, the first appearance of CTL in primary HIV-1 infection coincides with the decline of peak viremia (7, 27), while depletion of CD8⁺ T cells in SIV infection resulted in elevated viremia (45). Additionally, polymorphisms in HLA class I-restricted CTL responses are associated with differential HIV-1 disease outcomes (25), and the emergence of viral escape within CTL epitopes during acute and chronic SIV or HIV-1 infection demonstrates the effectiveness of CD8⁺ T cells to exert viral selection pressure (21). Dissecting the specificity of HIV-1-specific CD8⁺ T-cell responses that associate with the control of viral replication during acute/early infection is thought to be critical for the design of vaccines and potential immunotherapeutic strategies aimed at stimulating these responses.Preferential targeting of class I-restricted CTL epitopes in Gag during early and chronic HIV-1 infection has been associated with lower viral loads (15, 25, 34, 48, 55), whereas Env- and Nef-specific CD8⁺ T-cell responses have been associated with higher viremia (15, 34, 55). Increasing evidence suggests that patterns of immunodominant HIV-specific CD8⁺ T-cell responses restricted by specific HLA alleles are major determinants of the viral set point (47). In addition, Goonetilleke et al. (17) have provided insight into the rapidity of early escape and the contribution of the first HIV-specific CD8⁺ T-cell responses to the transmitted/founder virus in control of acute viremia. The restriction of CTL epitopes by HLA-B*5801, for example, has also been associated with better viral control (16, 24). However, the temporal nature of epitope-specific responses that associate with viral control has not been explored. Recently, we found no association between the magnitude and breadth of gamma interferon (IFN-γ) enzyme-linked immunospot (ELISPOT) assay responses at a static 3-month time point with the viral set point at 12 months (22). The unpredictability of early T-cell responses with later viral control could be a result of HIV variability resulting in epitope escape from humoral and T-cell pressure (1, 8). For example, the impact of CTL pressure on shaping viral diversity at a human population level has been observed through HLA imprinting (6, 9, 44), and several studies have shown that certain selected escape mutations can compromise viral fitness (10, 29, 33, 39). Other studies have also demonstrated that the selection of escape variants in chronic HIV-1 and SIV infection can result in the loss of immune control and disease progression (3, 20). Assessing the nature of T-cell responses longitudinally and relating the patterns of contemporaneous viral recognition with viral diversity may represent alternative insights into factors associated with set point and disease progression.As the global AIDS epidemic continues to expand in sub-Saharan Africa, and South Africa in particular, the need to implement a preventive vaccine through the public health sector remains paramount. To date, several prototype antibody and T-cell-based candidate vaccine trials have been completed worldwide (37), and the recent failure of a phase IIb Ad5-Gag-Pol-Nef HIV-1 vaccine trial has emphasized the challenge of producing an effective T-cell-based vaccine against HIV. Data from the recent ALVAC and AIDSVAX (RV144) trials in Thailand have provided modest efficacy of a vaccine regimen in reducing HIV infection (42), and while the immune mechanisms for this are as yet unclear, these findings have created a platform for identifying immune responses that correlate with protection.The identification of the earliest targets of T cells during acute HIV-1 infection would be helpful in understanding the evolution of immunity when a host first encounters the virus and also would provide insight into the host-pathogen interplay when there is a rapidly changing target. We describe some of the earliest T-cell responses that occur during acute subtype C HIV-1 infection, how these change over time and associate with early disease progression, as well as the kinetics of these changes in relation to autologous viral escape.     

Nuclear Receptor Liver X Receptor Is O-GlcNAc-modified in Response to Glucose

Post-translational modification of nucleocytoplasmic proteins by O-linked β-N-acetylglucosamine (O-GlcNAc) has for the last 25 years emerged as an essential glucose-sensing mechanism. The liver X receptors (LXRs) function as nutritional sensors for cholesterol-regulating lipid metabolism, glucose homeostasis, and inflammation. LXRs are shown to be post-translationally modified by phosphorylation, acetylation, and sumoylation, affecting their target gene specificity, stability, and transactivating and transrepressional activity, respectively. In the present study, we show for the first time that LXRα and LXRβ are targets for glucose-hexosamine-derived O-GlcNAc modification in human Huh7 cells. Furthermore, we observed increased hepatic LXRα O-GlcNAcylation in vivo in refed mice and in streptozotocin-induced refed diabetic mice. Importantly, induction of LXRα O-GlcNAcylation in both mouse models was concomitant with increased expression of the lipogenic gene SREBP-1c (sterol regulatory element-binding protein 1c). Furthermore, glucose increased LXR/retinoic acid receptor-dependent activation of luciferase reporter activity driven by the mouse SREBP-1c promoter via the hexosamine biosynthetic pathway in Huh7 cells. Altogether, our results suggest that O-GlcNAcylation of LXR is a novel mechanism by which LXR acts as a glucose sensor affecting LXR-dependent gene expression, substantiating the crucial role of LXR as a nutritional sensor in lipid and glucose metabolism.     

Versatile interactions of the antimicrobial peptide novispirin with detergents and lipids

Novispirin G-10 is an 18-residue designed cationic peptide derived from the N-terminal part of an antimicrobial peptide from sheep. This derivative is more specific for bacteria than the parent peptide. We have analyzed Novispirin's interactions with various amphipathic molecules and find that a remarkably wide variety of conditions induce alpha-helical structure. Optimal structure induction by lipids occurs when the vesicles contain 40-80% anionic lipid, while pure anionic lipid vesicles induce aggregation. SDS also forms aggregates with Novispirin at submicellar concentrations but induces alpha-helical structures above the cmc. Both types of aggregates contain significant amounts of beta-sheet structure, highlighting the peptide's structural versatility. The cationic detergent LTAC has a relatively strong affinity for the cationic peptide despite the peptide's net positive charge of +7 at physiological pH and total lack of negatively charged side chains. Zwitterionic and nonionic detergents induce alpha-helical structures at several hundred millimolar detergent. We have solved the peptide structure in SDS and LTAB by NMR and find subtle differences compared to the structure in TFE, which we ascribe to the interaction with an amphiphilic environment. Novispirin is largely buried in the SDS-micelle, whereas it does not enter the LTAC-micelle but merely forms a dynamic equilibrium between surface-bound and nonbound Novispirin. Thus, electrostatic repulsion can be overruled by relatively high-detergent concentrations or by deprotonating a single critical side chain, despite the fact that Novispirin's ability to bind to amphiphiles and form alpha-helical structure is sensitive to the electrostatics of the amphiphilic environment. This emphasizes the versatility of cationic antimicrobial peptides' interactions with amphiphiles.     

Interrelationships of glycosylation and aggregation kinetics for Peniophora lycii phytase

The kinetics of thermally induced aggregation of the glycoprotein Peniophora lycii phytase (Phy) and a deglycosylated form (dgPhy) was studied by dynamic (DLS) and static (SLS) light scattering. This provided a detailed insight into the time course of the formation of small aggregates ( approximately 10-100 molecules) of the enzyme. The thermodynamic stability of the two forms was also investigated using scanning calorimetry (DSC). It was found that the glycans strongly promoted kinetic stability (i.e., reduced the rate of irreversible denaturation) while leaving the equilibrium denaturation temperature, T(d), defined by DSC, largely unaltered. At pH 4.5-5.0, for example, dgPhy aggregated approximately 200 times faster than Phy, even though the difference in T(d) was only 1-3 degrees C. To elucidate the mechanism by which the glycans promote kinetic stability, we measured the effect of ionic strength and temperature on the aggregation rate. Also, the second virial coefficients (B(22)) for the two forms were measured by SLS. These results showed that the aggregation rate of Phy scaled with the concentration of thermally denatured protein. This suggested first-order kinetics with respect to the concentration of the thermally denatured state. A similar but less pronounced correlation was found for dgPhy, and it was suggested that while the aggregation process for the deglycosylated form is dominated by denatured protein, it also involves a smaller contribution from associating molecules in the native state. The measurements of B(22) revealed that dgPhy had slightly higher values than Phy. This suggests that dgPhy interacts more favorably with the buffer than Phy and hence rules out strong hydration of the glycans as the origin of their effect on the kinetic stability. On the basis of this and the effects of pH and ionic strength, we suggest that the inhibition of aggregation is more likely to depend on steric hindrance of the glycans in the aggregated form of the protein.     

Genetic association analysis of human longevity in cohort studies of elderly subjects: an example of the PON1 gene in the Danish 1905 birth cohort

Although the case-control or the cross-sectional design has been popular in genetic association studies of human longevity, such a design is prone to false positive results due to sampling bias and a potential secular trend in gene-environment interactions. To avoid these problems, the cohort or follow-up study design has been recommended. With the observed individual survival information, the Cox regression model has been used for single-locus data analysis. In this article, we present a novel survival analysis model that combines population survival with individual genotype and phenotype information in assessing the genetic association with human longevity in cohort studies. By monitoring the changes in the observed genotype frequencies over the follow-up period in a birth cohort, we are able to assess the effects of the genotypes and/or haplotypes on individual survival. With the estimated parameters, genotype- and/or haplotype-specific survival and hazard functions can be calculated without any parametric assumption on the survival distribution. In addition, our model estimates haplotype frequencies in a birth cohort over the follow-up time, which is not observable in the multilocus genotype data. A computer simulation study was conducted to specifically assess the performance and power of our haplotype-based approach for given risk and frequency parameters under different sample sizes. Application of our method to paraoxonase 1 genotype data detected a haplotype that significantly reduces carriers' hazard of death and thus reveals and stresses the important role of genetic variation in maintaining human survival at advanced ages.     

Microbial diversity and function in soil: from genes to ecosystems

Soils sustain an immense diversity of microbes, which, to a large extent, remains unexplored. A range of novel methods, most of which are based on rRNA and rDNA analyses, have uncovered part of the soil microbial diversity. The next step in the era of microbial ecology is to extract genomic, evolutionary and functional information from bacterial artificial chromosome libraries of the soil community genomes (the metagenome). Sophisticated analyses that apply molecular phylogenetics, DNA microarrays, functional genomics and in situ activity measurements will provide huge amounts of new data, potentially increasing our understanding of the structure and function of soil microbial ecosystems, and the interactions that occur within them. This review summarizes the recent progress in studies of soil microbial communities with focus on novel methods and approaches that provide new insight into the relationship between phylogenetic and functional diversity.