- Open Access
Dynamic correlation between CTL response and viral load in primary human immunodeficiency virus-1 infected Koreans
© Kim et al; licensee BioMed Central Ltd. 2010
- Received: 22 June 2010
- Accepted: 16 September 2010
- Published: 16 September 2010
HIV-1 specific cytotoxic T lymphocytes (CTLs) have an important role as antiviral effector cells for controlling HIV-1 infection.
To investigate CTL response during the early stage of HIV infection, we measured immunity-related factors including CD4+ T cell counts, CD8+ T cell counts, HIV-1 RNA viral loads and IFN-γ secretion according to CTL response in 78 selected primary HIV-1-infected Koreans.
The CTL response was strongly induced by HIV-1 specific Gag and Nef peptides (p = 0.016) compared with induction by Tat or Env peptides. These results suggest that the major antiviral factors inducing strong HIV-specific CTL responses are associated with the Gag and Nef viral regions in primary HIV-1 infected Koreans. The relationship between viral load and CTL response showed varying correlations with time following HIV infection. CTL response was inversely correlated with viral loads at preseroconversion stage I (r = -0.224 to -0.33) and changed to a positive correlation at the preseroconversion stage II (r = 0.132 to 0.854). Finally, it changed to an inverse correlation again after seroconversion until a viral set point was established on serological profiling (r = -0.195 to -0.407).
These findings demonstrate a dynamic correlation between viral load and subsequent CTL responses during early HIV infection.
- Viral Load
- Seroconversion Group
Human immunodeficiency virus type 1 (HIV-1) specific CD8+ T cells play a key role in the control of viral replication during HIV-1 infection. The cytotoxic T lymphocyte (CTL) response is mainly measured at the early stage of infection and its appearance coincides with a rapid fall in plasma viremia during the early stage of infection with HIV-1 . One of the well-characterized effector functions of CD8+ T cells in the control of viremia is interferon gamma (IFN-γ) secretion. IFN-γ secreted by CD8+ T cells inhibits the viral replication through induction of antiviral proteins and host immune responses that kill infected cells. Therefore, strong CTL responses are often associated with better virus control and slower disease progression during the early stage of HIV infection .
Analyses of epitopes or epitope-rich immunodominant regions inducing HIV-specific CTLs are likely the best way for protection against infection, and offer preferable approaches for vaccine development . In particular, the HIV peptides Gag and Nef have been suggested as being more frequently recognized than Env and Pol in subjects during the early stage of HIV infection . However, there have been diverse reports about the induction of specific CTL responses by HIV peptides and it is still debatable if a role of each peptide can be constantly associated with immunogenic reactions with time during the early stages of HIV infection. Some results have shown that the frequencies of IFN-γ-secreting cells during HIV infection were positively correlated with viral load [5–7], while other studies indicated that the level of IFN-γ induced by CTL responses was negatively correlated with viral load [8, 9]. Furthermore, some other reports suggested that there was no significant correlation between virus-specific T cell responses and HIV-1 viral load [10–12]. Thus, the relationship between immune components and virological events in HIV-1 infection remains controversial. The factors leading to different conclusions from each research group might include varying parameters of each study population, such as ethnic differences, clinical status or the different genetic traits of HIV strains [10, 13].
To understand the characteristics of HIV-specific CTL responses in the control of virus replication during the early stage of HIV infection, we investigated the correlation between HIV-1 RNA viral load and HIV-1-specific CTL responses through measurement of IFN-γ secretion in response to overlapping peptide stimulation in peripheral blood mononuclear cells (PBMCs) from Korean subjects with primary HIV infection (PHI). These constituted a homogeneous ethnic group  and were infected with the distinct HIV-1 Korean clade B .
The Korean National Institute of Health (KNIH) performed final confirmation tests for the samples. These were identified as being from subjects with an indeterminate HIV status or who were suspected as having an acute HIV infection, through a hospital or local public health and environment institute (IPHE), as part of the national HIV testing strategy. Among the samples referred to KNIH for confirmation, we selected 78 subjects identified by serological testing as being at an HIV-1 preseroconversion stage or at the seroconversion stage. These patients were followed up to confirm their HIV infection status using antibody detection. The samples were analyzed for CD4+ T cell counts, CD8+ T cell counts and HIV RNA viral load. We collected the subjects' epidemiological data and treatment history from hospitals or public health centers. All of these patients were antiretroviral therapy naive.
Flow cytometry analysis of CD4+ and CD8+ T cell subpopulations
The numbers of CD4+ T cells and CD8+ T cells in PBMCs were counted after blood was taken from the subjects using tubes with EDTA anticoagulant. A CD4-FITC/CD8-PE/CD3-PC5 monoclonal antibody mix (Beckman Coulter, Fullerton, CA, USA) was added to 100 μL of each specimen and incubated for 15 min at room temperature in the dark. IgG1-FITC/IgG1-PE/IgG1-PC5 (Beckman Coulter) was used as an isotype control. Red blood cells were removed using Immunoprep™ reagent lysis solution (containing 1.5% formaldehyde, Beckman Coulter) after incubation. Finally, the stained cells were analyzed using a Cytomics FC500 flow cytometry system (Beckman Coulter).
Quantitative analysis of HIV-1 RNA
Using a Nuclisens Easy HIV-1 system (BioMerieux, Durham, NC, USA), HIV-1 RNA in each patient's plasma was quantified. Plasma was stored at -70°C after isolation from HIV-1 infected blood. After mixing aliquots of plasma (200-2000 μL) with lysis buffer (containing guanidine thiocyanate and Triton X-100, BioMerieux) by vigorous shaking for 30 min at 37°C, nucleic acids were absorbed by inverted shaking with 50 μL silica for 10 min. We used 20 μL aliquots of calibrators including the HIV-1 Gag gene (Qa, Qb, Qc) as an internal control. Pure HIV-1 RNA was isolated using NucliSens Extracter (BioMerieux.) Isolated HIV-1 RNA was amplified using the Nucleic Acid Sequence Based Amplification method and amplicons derived from a single strand HIV-1 RNA were collected from the amplified products. Collected HIV-1 amplicons were quantified using a NucliSens electrochemiluminescence reader (BioMerieux) after hybridization.
Measurement of CTL responses using an IFN-γ enzyme-linked immunosorbent spot (ELISPOT) assay
Cryopreserved PBMCs were thawed and cultured in RPMI 1640 medium containing 10% fetal bovine serum (FBS) and 1% penicillin/streptomycin (Gibco, Grand Island, NY, USA) for 24 h at 37°C. Cultured PBMCs were counted using trypan blue vital staining (Gibco) at the beginning of the IFN-γ ELISPOT assay. IFN-γ precoated plates (Mabtech, Stockholm, Sweden) were blocked with culture medium containing 10% FBS, and 1.5 × 105 PBMCs were added to each well. Then, HIV specific peptides (Gag p17, Gag p24, Tat, Env gp120 or Nef), dissolved in DMSO with a final concentration of 5 μg/mL, were added. The concentration of DMSO was always less than 0.5% after dilution. The peptides were overlapped each other by 10 mer amino acids (from the National Institute of Biological Standards and Control, UK). Phytohemagglutinin (5 μg/mL, Sigma-Aldrich, St. Louis, MO, USA) and CD3 antigen (100 ng/mL; Mabtech) were added as positive controls. Plates were incubated under 5% CO2 in air at 37°C for 24 h, and developed using alkaline phosphate-conjugated monoclonal antibody 1-B6-1 and NBT/BCIP substrate (Mabtech) for 15 min at room temperature. Spot formation was analyzed using an ELISPOT Reader (Immunospot S5 Micro Analyzer, Cellular Technology Ltd., Cleveland, OH, USA). Results are expressed as spot-forming cells (SFC)/106 PBMCs = 106 × [(SFC number/well)/(number of cells/well)].
Statistical analyses were performed using SAS software version 9.1(SAS Institute Inc., Cary, NC, USA). Spearman's rank correlation test was used to determine any correlation between the HIV-1-specific CTL response and HIV RNA viral load.
Baseline characteristics in Korean subjects with PHI
Serological characteristics of the 78 study subjects with primary HIV-1 infection.
Antigen ratio (OD/CO)
(band pattern, No.)
Baseline characteristics of cytotoxic T lymphocyte (CTL) responses in Korean subjects with primary HIV infection
At initial sampling
CD4+ T cell
CD8+ T cell
(n = 50)
(n = 7)
EIA Ag+, EIA Ab+/-, PA+/-, WB+/-
(n = 12)
EIA Ag +/-, EIA Ab+, PA+, WB+
(n = 13)
EIA Ag+, EIA+/-, PA-, WB+/-
EIA Ag-, EIA Ab+, PA+, WB+
(n = 18)
EIA Ab+, PA+/-, WB+/-
EIA Ag-, EIA Ab+, PA+, WB+
CTL response induced by HIV-specific peptides
Correlation between CTL response and HIV viral load
Analysis of the CTL response and viral load in the four subgroups divided according to the follow-up duration demonstrated significant results based on the time course of infection. Fig. 2 shows the correlations of viral load and CTL response to each epitope in subjects divided into four groups based on their serological profile and elapsed time following HIV infection. For groups I (preseroconversion group I) and IV (seroconversion group II), the HIV-specific CTL responses to the five investigated peptides correlated inversely with the viral loads (r = -0.224 to -0.330 for group I and r = 0.195 to -0.407 for group IV). In contrast, the CTL response correlated positively with viral load in group II (preseroconversion group II; r = 0.132-0.530) and group III (seroconversion group I; r = 0.561-0.854). As mentioned above, patterns of correlation between viral load and CTL responses appeared to be transiently associated in the course of natural HIV-1 infections.
Studies on the CTL response have reported that CD8+ T lymphocytes have an important role in controlling viral replication following PHI [2, 16, 17]. Generally, the HIV-specific CTL response to control HIV replication is influenced by various factors such as malfunction of immune cells affected by apoptotic events, modification of T cell surface antigens, changes in cytokine secretion, reduced expression of MHC (HLA) classes, mutation or in characteristic changes to the HIV antigen loci . The characteristics of HIV-specific immune responses and the parameters of HIV infection in Asian populations including Koreans are not fully understood, although there are many reports on Caucasian and African populations [19–21]. Therefore, we investigated the relationship between HIV-specific CTL response and viral replication in these Korean subjects with PHI. Most of them were infected by a distinct strain of HIV-1 subtype B monoclade and their genetic background was comparatively homogeneous .
In our study, CTL responses induced by Gag p17, Gag p24 and Nef peptides were significantly higher than when induced by Env or Tat peptides (p = 0.016; Fig. 1). Many reports have demonstrated that Gag-specific T cell-mediated immune responses might be especially important to control viral load, considering the correlation between viral protein levels and CTL response in adults and children among diverse ethnic groups [22, 23]. Furthermore, highly induced Nef-specific CTL responses correlated with high viral loads in the plasma . These studies suggest that the HIV Gag and Nef peptides might be major factors inducing epitope-specific CTL responses in subjects with PHI. We detected HIV-specific CTL responses in only 50 of the 78 subjects in this series. The responder group demonstrated higher cell viability than the nonresponder group (89.2% vs 79.6%; p < 0.001). One of the determining factors for detection of CTL response is the composition of overlapping peptide sets. The peptides we used for the assessment of responses consisted of only five epitopes: Gag p17, Gag p24, Tat, Env and Nef. Therefore, we need to further investigate the induction capacity of other epitopes to understand the detailed mechanism of HIV-1-specific CTL response in Koreans.
Previous studies have suggested that the virus-specific CTL response developed in patients with PHI is responsible for the initial control of viral replication [2, 25, 26]. However, our results demonstrated that the CTL responses and viral load in Korean subjects with PHI did not show a constant correlation and there is still controversy about this correlation. Furthermore, the reasons for the differences in these findings remain unclear. Thus, we attempted to identify the reason for this controversial correlation in Koreans with PHI.
Based on our studies, one of the possible reasons for differences in the reports could be the duration following infection in subjects with PHI. We found that the HIV-specific CTL response was transiently associated with plasma viral load through successive clinical stages after HIV infection. In fact, the CTL response to HIV-specific peptides did not show obvious correlation to viral load in the 50 responders (Table 2). However, the correlation between CTL response and viral load in divided subgroups demonstrated different results based on the clinical status of the subjects. In detail, the CTL response was inversely correlated with HIV viral load in group I, presumed to be in an acute stage of infection, showing viral load abruptly rising without the production of HIV-1-specific antibody. While this correlation was changed to positive in groups II and III (identified as preseroconversion stage and initial seroconversion stage), it was negative again in group IV subjects who had undergone seroconversion. Therefore, we speculate that the CTL response is insufficiently activated to control viral replication during the preseroconversion stage. After this stage, the correlation changed from negative to positive because the CTL response was increasing to control the elevated viral load. During the period from seroconversion to the viral set point when virus concentration is maintained, the correlations between viral replication and the host immune response changed dynamically because CTL responses and viral load were linked during disease progression. That is, each individual can reveal a different correlation between CTL responses and viral load even during PHI. This implies that the clinical stage of each subject is an important factor for the HIV-1 specific CTL response to control virus replication and for its correlation with viral load. Moreover, the host's immune response might not be maintained constantly before the viral set point is established. Musey et al. also reported an alternating correlation during the early infection period before the viral set point was established within 6 months after seroconversion [27, 28]. Therefore, a longitudinal study during a period between infection and viral set point should be performed to identify a pattern of alternating correlation between CTL responses and viral load in subjects with PHI.
In conclusion, we identified the Gag and Nef peptides as important HIV-1 specific CTL epitopes in regulating HIV-1 replication in this Korean population with homogeneous ethnic characteristics during PHI. We also found alternating correlations between HIV-1 viral load and HIV-1-specific CTL responses. The genetic background of the population might be an important factor for vaccine efficacy, particularly when limited epitope-specific vaccine designs are used. Thus, our results may help to improve the selection of antigen for the design of future HIV-1 vaccines in Korea.
HIV peptides were obtained from the Centralized Facility for AIDS Reagents supported by European Union Program EVA/MRC (contact QLKZ-CT-1999-00609) and the UK Medical Research Council, which were originally provided by Dr. H. C. Holmes (National Institute of Biological Standards and Control). This research was supported by an intramural grant from the National Institute of Health, Korea (2004-N51002-00).
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