Role of HIV-1 phenotype in viral pathogenesis and its relation to viral load and CD4+ T-cell count

The predictive value of HIV-1 phenotype in peripheral blood mononuclear cell (PBMC) coculture and the relation among viral phenotype, viral load, and CD4+ T-cell count were examined in two studies. In study A, 132 HIV-1–infected individuals were examined retrospectively for the relation between the result of their initial HIV cultivation in PBMC coculture and survival rate 6 years later. In study B, 176 patients were examined since 1994 for markers of HIV disease progression. HIV-1 phenotype was determined by PBMC cocultivation, viral load by NASBA HIV RNA QT System, and CD4+ T-cell count by flow cytometry. In study A, the percentage of survival for patients with initial negative virus culture was significantly higher (95%) than in patients with nonsyncytia-inducing (NSI) isolates (78%) and syncytia-inducing (SI) isolates (21%) (P < 0.05 and P < 0.0001, respectively). When SI phenotype was subdivided into moderately cytopathogenic and highly cytopathogenic, significant differences in the rate of survival between these subgroups could be observed (45% vs. 14%; P < 0.05). In study B, progression from negative virus culture to the isolation of NSI variants was associated with increasing viral load (P < 0.0001) but did not affect CD4+ T-cell count significantly (P > 0.07), whereas the switch from NSI to SI virus was accompanied by significant decline of CD4+ T-cells (P < 0.0001) but no change in viral load (P > 0.21). Thus, isolation and phenotyping of HIV represents an additional striking predictive marker for progression of HIV infection. J. Med. Virol. 56:259–263, 1998. © 1998 Wiley-Liss, Inc.     

Direct measurement of CD4+ and CD8+ T-cell responses to CMV in HIV-1-infected subjects

Data from murine models of chronic viral infection suggest that CD4+ T-cell responses to viral pathogens are important in sustaining the number and/or function of CD8+ cytotoxic T-cell (CTL) effectors. In this study, we used cytokine flow cytometry (CFC), staining with HLA-A*0201-peptide tetramers, and peptide stimulation with epitopic peptides to study functional CD4+ and CD8+ T-cell responses to cytomegalovirus (CMV) in human subjects coinfected with CMV and the human immunodeficiency virus, type 1 (HIV-1). We show that strong CD4+ and CD8+ T-cell responses to CMV antigens are sustained over time in HIV-1-infected individuals. Those who maintain a strong CD4+ T-cell response to CMV are also likely to maintain higher frequencies of CD8+ T cells capable of binding to HLA-A*0201-CMV pp65 (A2-pp65) tetramers as well as responses to pp65 peptide stimulation with effector cytokine production. These data support the hypothesis that declines in frequencies of CD4+ T-cell responses to CMV are associated with an inability to sustain high levels of CMV-specific CD8+ T-cell responses in HIV-1-infected subjects. These declines may precede the onset of CMV-associated end organ disease.     

CCL3L1 and CCL4L1: variable gene copy number in adolescents with and without human immunodeficiency virus type 1 (HIV-1) infection

As members of the chemokine family, macrophage inflammatory protein 1 alpha (MIP-1alpha) and MIP-1beta are unique in that they both consist of non-allelic isoforms encoded by different genes, namely chemokine (C-C motif) ligand 3 (CCL3), CCL4, CCL3-like 1 (CCL3L1) and CCL4L1. The products of these genes and of CCL5 (encoding RANTES, i.e., regulated on activation, normal T expressed and secreted) can block or interfere with human immunodeficiency virus type 1 (HIV-1) infection through competitive binding to chemokine (C-C motif) receptor 5 (CCR5). Our analyses of 411 adolescents confirmed that CCL3 and CCL4 genes occurred invariably as single copies (two per diploid genome), whereas the copy numbers of CCL3L1 and CCL4L1 varied extensively (0-11 and 1-6 copies, respectively). Neither CCL3L1 nor CCL4L1 gene copy number variation showed appreciable impact on susceptibility to or control of HIV-1 infection. Within individuals, linear correlation between CCL3L1 and CCL4L1 copy numbers was moderate regardless of ethnicity (Pearson correlation coefficients=0.63-0.65, P<0.0001), suggesting that the two loci are not always within the same segmental duplication unit. Persistently low serum MIP-1alpha and MIP-1beta (in the pg/ml range) compared with high CCL5 concentration (ng/ml range) implied that multi-copy genes CCL3L1 and CCL4L1 conferred little advantage in the intensity of expression among uninfected or infected adolescents.     

Relevance of HIV-1-specific CD4+ helper T-cell responses during structured treatment interruptions in patients with CD4+ T-cell nadir above 400/mm3

OBJECTIVES: To analyze the dynamics of both HIV-1-specific CD4 and CD8 T-cell responses during structured treatment interruptions (STIs) in chronically HIV-1-infected (CHI) patients and to correlate them with the viral set point achieved. METHODS: Forty-five early-stage CHI patients who were on highly active antiretroviral therapy (HAART) for at least 1 year and underwent STI were included. Plasma viral load (VL), peripheral blood mononuclear cell (PBMC) lymphoproliferative (LPR) response to HIV p24 protein, and HIV-1 epitope-specific interferon-gammarelease from CD8 T cells were measured over a minimum study period of 2 years. RESULTS: VL set point during final STI was both significantly lower than, and positively correlated to, baseline VL (P < 0.0001: mean VL reduction 0.77 log10, and r = 0.42, P = 0.004, respectively). CD4 LPRs to p24 increased significantly (P = 0.001) between day 0 of the first STI cycle and 4th STI but decreased thereafter. VL set point during final STI was significantly and negatively correlated with LPRs to p24 at both 2nd STI and 4th STI. Nevertheless, at week 52, 12 weeks after the end of the last STI, LPRs were weak and transient in all patients and were not correlated with VL set point. Moreover, the magnitude and breadth of HIV-1-specific CD8 T-cell responses increased significantly (P < 0.0001) between day 0 and week 52. The largest increases occurred during the final STI. Even though VL reached set point by week 12 of the final STI, HIV-1-specific CD8 T-cell responses did not stabilize but rather increased until the end of the follow-up and did not correlate with plasma VL (r = 0.01, P = 0.88). CONCLUSIONS: STIs do not lead to control of viral replication in CHI patients, probably due to the fact that boosted CTL responses lack strong and durable helper T-cell responses. To reset the VL set point, new approaches that effectively augment and preserve helper T-cell responses should be investigated.     

Optimizing HIV-1-specific CD8+ T-cell induction by recombinant BCG in prime-boost regimens with heterologous viral vectors

The desire to induce HIV-1-specific responses soon after birth to prevent breast milk transmission of HIV-1 led us to propose a vaccine regimen which primes HIV-1-specific T cells using a recombinant Mycobacterium bovis bacillus Calmette-Guérin (rBCG) vaccine. Because attenuated live bacterial vaccines are typically not sufficiently immunogenic as stand-alone vaccines, rBCG-primed T cells will likely require boost immunization(s). Here, we compared modified Danish (AERAS-401) and Pasteur lysine auxotroph (222) strains of BCG expressing the immunogen HIVA for their potency to prime HIV-1-specific responses in adult BALB/c mice and examined four heterologous boosting HIVA vaccines for their immunogenic synergy. We found that both BCG.HIVA(401) and BCG.HIVA(222) primed HIV-1-specific CD8(+) T-cell-mediated responses. The strongest boosts were delivered by human adenovirus-vectored HAdV5.HIVA and sheep atadenovirus-vectored OAdV7.HIVA vaccines, followed by poxvirus MVA.HIVA; the weakest was plasmid pTH.HIVA DNA. The prime-boost regimens induced T cells capable of efficient in vivo killing of sensitized target cells. We also observed that the BCG.HIVA(401) and BCG.HIVA(222) vaccines have broadly similar immunologic properties, but display a number of differences mainly detected through distinct profiles of soluble intercellular signaling molecules produced by immune splenocytes in response to both HIV-1- and BCG-specific stimuli. These results encourage further development of the rBCG prime-boost regimen.     

Immunodominance of HIV-1-specific CD8(+) T-cell responses in acute HIV-1 infection: at the crossroads of viral and host genetics

The development of HIV-1-specific CD8(+) T-cell responses during acute HIV-1 infection is associated with a dramatic decline in HIV-1 replication and the resolution of the acute retroviral syndrome. These HIV-1-specific CD8(+) T cells typically target a small number of viral epitopes in a distinct hierarchical order, and high-level viremia in chronic progressive infection leads to broadly diversified HIV-1-specific CD8(+) T-cell responses with a less clear immunodominance pattern. It is argued here that the specific hierarchical pattern of immune responses in acute HIV-1 infection is the result of a tightly regulated process that, among other factors, is critically impacted by the kinetics of viral protein expression, the HLA class I background of the infected individual and the autologous sequence of the infecting virus.     

Correlation between gag-specific CD8 T-cell responses, viral load, and CD4 count in HIV-1 infection is dependent on disease status

BACKGROUND: It still remains controversial which kind of relationships exist between HIV-1-specific CD8 T-cell responses and HIV RNA load or CD4 count over the course of the infection. This study was designed to investigate the role of HIV-specific CD8 responses in patients with different disease status. METHODS: Three cohorts of patients were selected according to CD4 count levels: long-term nonprogressors (LTNPs, n = 19), asymptomatic progressors (CD4 counts between 500 and 350 cells/mm(3), n = 14), and progressors (CD4 counts <350 cells/mm(3), n = 23). Six of the LTNPs experiencing a quick loss of CD4 T-cells and another 6 LTNPs with stable CD4 counts were followed up. T-cell responses were studied using interferon (IFN) gamma-ELISpot assay against HIV p24 and 11 pools of HIV-Gag peptides. RESULTS: No significant differences were found in Gag-specific CD8 responses among the 3 cohorts. However, inverse correlations were identified between CD8 responses and CD4 counts in asymptomatic progressors and between CD4 responses and viral loads in progressors. In addition, the sequential dynamics of CD8 responses in 6 LTNPs showed that with a quick loss of CD4 T-cells around the range of 500 to 300 cells/mm(3), more vigorous CD8 responses were induced simultaneously, and plasma viremia was still kept relatively stable. CONCLUSIONS: These data suggest that the relationship between CD8 response and viral load or CD4 count is not universally consistent throughout the entire course of HIV-1 infection. Gag-specific CD8 responses may play differential roles in different stages of HIV-1 infection, and the maintenance of a threshold level of CD4 T-cells may contribute to mediate effective HIV-specific responses in natural control of HIV-1 infection.     

Connectivity and HIV-1 infection: role of CD4(+) T-cell counts and HIV-1 RNA copy number

Following primary infection with human immunodeficiency virus (HIV)-1, antibodies against specific HIV-1 epitopes are elicited. However, non-HIV-1 specific antibodies, including autoantibodies, also arise. In fact, it has been proposed that such autoantibodies have an important role in the pathogenesis of HIV-1 infection. Because an imbalance in connectivity has been associated with autoimmune processes, we investigated the connectivity status of HIV-1-infected individuals. Moreover, we tested the possible role of viral load and CD4(+) T-cell counts, in connectivity, because these parameters appear to be important in the prognosis of HIV-1 infection. Results show that indeed, there is an alteration in connectivity in these patients, both for immunoglobulin (Ig)G and IgM, which is an immune alteration not previously identified in HIV-1 infection. In addition, our results show that viral load and CD4(+) T-cell counts are both equally important in defining the characteristic pattern of connectivity in HIV-1-infected individuals, and that neither is independently responsible for alterations in patient connectivity status.     

CCL3L1 copy number, CCR5 genotype and susceptibility to tuberculosis

Background

22q11.2 deletion syndrome (22q11.2DS) is a common microdeletion syndrome, which occurs in approximately 1:4000 births. Familial autosomal dominant recurrence of the syndrome is detected in about 8-28% of the cases. Aim of this study is to evaluate the intergenerational and intrafamilial phenotypic variability in a cohort of familial cases carrying a 22q11.2 deletion.

Methods

Thirty-two 22q11.2DS subjects among 26 families were enrolled.

Results

Second generation subjects showed a significantly higher number of features than their transmitting parents (212 vs 129, P?=?0.0015). Congenital heart defect, calcium-phosphorus metabolism abnormalities, developmental and speech delay were more represented in the second generation (P?<?0.05). Ocular disorders were more frequent in the parent group. No significant difference was observed for the other clinical variables. Intrafamilial phenotypic heterogeneity was identified in the pedigrees. In 23/32 families, a higher number of features were found in individuals from the second generation and a more severe phenotype was observed in almost all of them, indicating the worsening of the phenotype over generations. Both genetic and epigenetic mechanisms may be involved in the phenotypic variability.

Conclusions

Second generation subjects showed a more complex phenotype in comparison to those from the first generation. Both ascertainment bias related to patient selection or to the low rate of reproductive fitness of adults with a more severe phenotype, and several not well defined molecular mechanism, could explain intergenerational and intrafamilial phenotypic variability in this syndrome.     

Towards a cellular definition of CD8+ T-cell memory: the role of CD4+ T-cell help in CD8+ T-cell responses

Whereas the definition of B-cell memory is based on well-known cellular properties and differentiation steps, the process of T-cell memory generation was, until recently, less well understood. A series of recent reports, however, have drastically modified our notion of CD8(+) memory T cells. They show that, in addition to division, the generation of efficient memory cells requires a previously unknown differentiation process. As a whole, the generation of CD8(+) memory T cells appears to mimic the generation of memory B cells. Both processes depend on the help of CD4(+) T cells, they are irreversible, they have the same mechanism, and they occur progressively during the late expansion phase of the primary immune response.     

HIV-1-specific cytolytic T-lymphocyte activity correlates with lower viral load, higher CD4 count, and CD8+CD38-DR- phenotype: comparison of statistical methods for measurement.

OBJECTIVES: The objective of this study was to use novel statistical methods to determine the correlation between HIV-1-specific cytolytic T-lymphocyte (CTL) activity and HIV-1 plasma viral load, in a blinded study of HIV-infected patients at various stages of clinical disease. METHODS: Peripheral blood mononuclear cells (PBMC) were collected and stored at enrollment and 2 weeks later, from 15 HIV-infected individuals who were receiving stable antiretroviral therapy for the previous 6 weeks and during the study period. HIV-1-specific CTL activity was measured using an antigen-specific PBMC in vitro stimulation method. Measurements of plasma viral load, as well as CD4+ and CD8+ T lymphocytes expressing T-cell activation markers (DR and CD38) were also performed at each time point. CTL activity was quantified using three separate statistical methods: area under the net HIV-specific lysis curve (AUC), lytic units (LU20), and linear regression (LR) of net HIV-specific lysis. RESULTS: HIV-1 nef-, pol- and gag-specific CTL activity (AUC method) was significantly higher in subjects with a plasma viral load < or = 30,000 RNA copies/ml, than in those with viral load >30,000 RNA copies/ml. When plasma viral load was analyzed as a continuous variable, there was a strong correlation between higher CTL activity and lower viral load for nef (r2 = .77; p < .001), pol (r2 = .63; p < .001) and gag (r2 = 0.75; p < .001) targets by the AUC, but not for the LU20 analysis. Using the LR analysis, which is less dependent on in vitro PBMC growth than the AUC analysis, an independent association was demonstrated between nef- and gag-specific CTL activity and lower viral load. Measurement of CTL activity was also significantly correlated with a higher percentage of circulating CD8+DR-CD38- T lymphocytes. CONCLUSIONS: In this blinded study using an in vitro stimulation of frozen PBMC, higher HIV-1 nef-, pol-, and gag-specific CTL activity correlated with lower plasma viral load, particularly in patients with a CD4 count <500 cells/mm3. Two new statistical methods for estimating CTL activity, AUC and LR analyses, were superior to the standard lytic unit (LU20) method for demonstrating this correlation. These data also demonstrated that higher circulating CD8+ T lymphocytes with a DR-CD38-phenotype, correlate with a lower plasma viral and load and higher HIV-specific CTL activity. This suggests that lymphocytes with this double-negative phenotype may include circulating HIV-specific CD8+ CTL.     

CD8+ T细胞对HIV-1合成表位的免疫主导应答研究

目的研究CD8^＋ T细胞对人免疫缺陷病毒1型（HIV-1）表位的免疫主导应答。方法分别采用酶联免疫斑点技术（ELtSPOT）和羧乙基锗倍半氧化物（CFSE）标记流式分析技术，以覆盖HIV-1 Env、Pol、Gag、Vif、Nef、Tat区的701个重叠肽段组成的34个肽段库及其部分单肽段作为刺激表位，对一例感染HIV-1的长期不进展者（LTNP）的外周血单个核细胞（PBMC）中CD8^＋ T细胞的了γ-干扰素（IFN-γ）分泌细胞频率和细胞增殖率进行了测定研究。结果HIV-1 Gag区域肽段诱导产生的CD8^＋ T细胞的IFN-γ分泌细胞频率最高，Nef、Tat、Vif区域依次顺减，Env和Pol区域不能诱导产生显著性应答；在IFN-γ ELISPOT实验中，肽段和相应肽段库刺激产生的结果一致；CD8^＋ T细胞在单肽段刺激下，用ELISPOT技术测定的IFN-γ分泌细胞频率和CFSE标记流式分析技术测定的细胞增殖率显示出较好的相关性。结论CD8^＋ T细胞能特异性识别某些HIV-1抗原表位，诱导出免疫主导应答；当进行HIV-1特异性CD8^＋ T细胞反应增殖测定和免疫主导应答研究时，ELISPOT是值得称道的标准实验，同时，推荐一种新颖的CFSE标记流式分析技术。     

Detection of HIV-1-specific gastrointestinal tissue resident CD8+ T-cells in chronic infection

Tissue-resident memory (T_RM) CD8⁺ T-cells are non-recirculating, long-lived cells housed in tissues that can confer protection against mucosal pathogens. Human immunodeficiency virus-1 (HIV-1) is a mucosal pathogen and the gastrointestinal tract is an important site of viral pathogenesis and transmission. Thus, CD8⁺ T_RM cells may be an important effector subset for controlling HIV-1 in mucosal tissues. This study sought to determine the abundance, phenotype, and functionality of CD8⁺ T_RM cells in the context of chronic HIV-1 infection. We found that the majority of rectosigmoid CD8⁺ T-cells were CD69⁺CD103⁺S1PR1⁻ and T-bet^LowEomesodermin^Neg, indicative of a tissue-residency phenotype similar to that described in murine models. HIV-1-specific CD8⁺ T_RM responses appeared strongest in individuals naturally controlling HIV-1 infection. Two CD8⁺ T_RM subsets, distinguished by CD103 expression intensity, were identified. CD103^Low CD8⁺ T_RM primarily displayed a transitional memory phenotype and contained HIV-1-specific cells and cells expressing high levels of Eomesodermin, whereas CD103^High CD8⁺ T_RM primarily displayed an effector memory phenotype and were Eomesodermin^Neg. These findings suggest a large fraction of CD8⁺ T-cells housed in the human rectosigmoid mucosa are tissue-resident and that T_RM contribute to the anti-HIV-1 immune response. Further exploration of CD8⁺ T_RM will inform development of anti-HIV-1 immune-based therapies and vaccines targeted to the mucosa.     

Fluctuations in HIV-1 viral load are correlated to CD4+ T-lymphocyte count during the natural course of infection

Viral load fluctuates during the natural course of asymptomatic HIV-1 infection. It is often assumed that these fluctuations are random around a set point or underlying growth trend. Using longitudinal data, we tested whether fluctuations in viral load can be better explained by changes in CD4+ T-cell count than by a set point or trend of exponential growth. The correspondence between viral load and CD4+ T-cell count could be described by a simple mathematical relation. Using a bootstrapping approach, the hypothesis that viral load fluctuations are random around a set point was rejected with p < .00005. The hypothesis that viral load fluctuations are random around a trend of exponential growth was rejected with p < .005. Viral load data was explained better by changes in CD4+ T-cell counts than by a set point or by a trend of exponential growth. The implications of this finding for improved prognostication are discussed.