- Research article
- Open Access
HIV infection and aging: enhanced Interferon- and Tumor Necrosis Factor-alpha production by the CD8+ CD28- T subset
© Eylar et al; licensee BioMed Central Ltd. 2001
Received: 16 March 2001
Accepted: 8 October 2001
Published: 8 October 2001
T cells from HIV+ and aged individuals show parallels in terms of suppressed proliferative activity and interleukin-2 (I1-2) production and an increased number of CD8+ CD28- T cells. In order to compare cytokine production from T cells from these two states, CD4+ and CD8+ T cells from HIV+ aged, and normal young donors (controls) were monitored for cytokine production by flow cytometry, quantitative PCR and ELISA upon activation by PMA and anti-CD3. In addition, the CD8+ T cell subsets CD28+ and CD28- from the HIV+ and the aged groups were evaluated for cytokine production by flow cytometry, and compared with those from young controls.
Flow cytometric analysis indicated that CD8+ T cells from both HIV+ and aged donors showed an increase of approximately 2–3 fold over controls in percentage of cells producing inflammatory cytokines IFN-γ and TNF-α. Similar analysis also revealed that the production of interleukins-4,6 and 10, production was very low (1–2% of cells) and unchanged in these cells. Quantitative PCR also showed a substantial increase (4–5 fold) in IFN-γ and TNF-α mRNA from HIV+ and aged CD8+ T cells, as did ELISA for secreted IFN-γ and TNF-α (2.3–4 fold). Flow cytometric analysis showed that the CD8+ CD28- T cell subset accounts for approximately 80–86% of the IFN-γ and TNF-α production from the CD8+ subset in the aged and HIV+ states. The CD4+ T cell, while not significantly changed in the HIV+ or aged states in terms of IFN-γ production, showed a small but significant increase in TNF-α production in both states.
Our data appear compatible with physiologic conditions existing in HIV+ and aged individuals, i.e. elevated serum levels and elevated CD8+ T cell production of IFN-γ and TNF-α. Thus, the capacity for increased production of cytokines IFN-γ and TNF-α in the aged individual by the dominant CD8+ CD28- subset may have a profound influence on the clinical state by aggravating inflammatory pathologies such as rheumatoid arthritis, and possibly Alzheimer's disease and Crohn's disease. In AIDS, these cytokines may contribute to wasting and cachexia. We theorize that the predominant phenotypic change to the cytotoxic CD8+ CD28- T cell subsets in both the HIV+ and the aged states may reflect a natural "endpoint" in CD8+ T cell differentiation induced after a lifetime of immune activity (toward viruses, etc) in the aged, and after a massive accelerated response to HIV in the HIV-positive individual.
Elderly people show an increased incidence of infectious, neoplastic and inflammatory diseases that may be linked to declining functional competence of the peripheral T cells [1–5]. At the cellular level, this decline in immune response is reflected in aged T cell in vitro proliferation, decreased production of interleukin-2 [2, 6–8] and 11–2 receptor [7, 9, 10], and defective progression thought the cell cycle [11, 12]. HIV+ infection likewise induces a progressive suppression in proliferation of both CD4+ and CD8+ T cells in vitro that correlates with clinical severity, as well as diminished 11–2 production [13–16]. However, even stronger parallels exist between immune phenomena in aging and AIDS than suppression of T cell proliferation and 11–2 production. There is a relative increase in the memory cell repertoire [17–20], and an increase in absolute counts in the CD8+ CD28-populations in both aged  and HIV+ donors [22–25]. The CD8+ CD28- T cell in the HIV+ state appears to be the major cytotoxic T cell (CTL) , but curiously, has shortened telemer lengths as well .
Previous studies indicate considerable inconsistency regarding production of the immune regulatory cytokine, interferon-γ (IFN-γ) and the preinflammatory cytokine, tumor necrosis factor-α (TNF-α) from T cells of HFV+ and aged individuals. The disparity in IFN-γ expression is reflected in reports of decreased [28–31], normal [21, 32] or increased [33–37] synthesis in both aged and HIV+ T cells. Similarly, with TNF-α, there are contradictory reports of decreased [37, 38], normal , or increased [12, 31, 39, 40] production in the HIV+ and aged T cells. Explanations for the divergent findings can be attributed to many factors including cell preparation, choice of activators, and quantitative methodology. Recently, we showed  that IFN-γ production in HIV+-derived CD8+ T cells was strongly stimulated by upon activation anti-CD3 and PMA. Using this mode of activation, we selected flow cytometry for analysis of HIV+ and aged T cells in this study since this method obviates the inherent complications association with experimental variability of T cell purification and activation. Subsequently, the flow cytometric data, based on the percentage of active cells, was supported by cytokine mRNA and ELISA data. We find by all three methods that IFN-γ and TNF-α production is enhanced several fold in CD8+ T cells from aged and HIV+ individuals, and it is the CD8+ CD28- subset, as shown by flow cytometry, which is primarily responsible. These findings assume clinical importance since they may explain in part the chronic and autoimmune pathologies in the elderly, particularly rheumatoid arthritis, Crohn's disease, sepsis, and myelodysplastic syndromes, which are exacerbated by the inflammatory cytokines IFN-γ and TNF-α . Likewise, the elevation of these cytokines, particularly TNF-α potentially may contribute to the deterioration in the HIV+ or AIDS patient by promoting wasting and cachexia .
Enhanced IFN-γ and TNF-α production in aged and HIV+ CD8+ T cells
Percentage of T cell subsets Producing Cytokines
16.5 ± 7.1
50.3 ± 12.6
16.6 ± 6.4
(p < 0.001)
42.2 ± 15.6
57.6 ± 14.3
57.2 ± 12.6
(p < 0.001)
(p < 0.001)
(p < 0.001)
14.2 ± 5.8
35.9 ± 11.2
15.8 ± 4.8
13.1 ± 3.5
19.0 ± 6.5
17.9 ± 4.7
12.7 ± 5.1
51.0 ± 14.9
14.6 ± 6.2
(p < 0.01)
40.6 ± 16.5
35.8 ± 14.5
42.3 ± 11.4
(p < 0.001)
(p < 0.001)
(p < 0.001)
14.5 ± 3.6
41.9 ± 9.8
16.2 ± 4.9
16.1 ± 4.7
16.1 ± 8.5
13.5 ± 6.7
Flow cytometric analysis of cells from the aged donors activated by anti-CD3 and PMA shows that IFN-γ production is enhanced significantly (approximately 3 fold) in the CD8+ T cell compartment, in terms of percent of producing cells, compared to young control donors (Table I). Even with Con A and PMA activation, the aged CD8+ T cell response was 4 fold enhanced over young controls (28.0% and 7.0% respectively)(data not shown). The response of brefeldin-treated CD8+ cells was somewhat greater than in the monensin-treated cells, for both aged and controls. For the HiV+ group, the number of IFN-γ producing CD8+ T cells was similarly enhanced over normal controls with both types of Golgi inhibitors. Interestingly, although the CD4+ T cell is a target for the HIV, the IFN-γ response is not significantly changed from the normal CD4+ T cell response. Likewise, with the aged CD4+ cells, there is no significant difference with the responses of the cells from young donors.
The changes in TNF-α production in CD8+ T cells from HIV+ and aged individuals are comparable to that for IFN-γ production (Fig. 1 and Table I). Aged CD8+ T cells show a significant increase (approximately 3 fold) over young cells in the percentage producing TNF-α (57.6 versus 19.0%). In the HIV+ cases also, the CD8+ T cells show significantly enhanced TNF-α production (2 fold). However, in contrast to the IFN-γ data, the aged CD4+ T cells are modestly, but significantly increased over the young CD4+ T cells (50.3 versus 35.9%). The CD4+ T cells from HIV+ donors also are slightly more capable of TNF-α production than the normal CD4+ T cells (51.0 versus 42.0%), a difference that is significant. Thus in the aging and HIV+ scenario, it is apparent that the CD8+ T cells show an enhanced capacity for both TNF-α production and IFN-γ production. The CD4+ T cells show a small but significant capacity for TNF-α production in both scenarios.
Comparative analysis of the CD8+ CD28- and CD8+ CD28+ T cells by flow cytometry
Comparison of cytokine Production in CD8+ CD28 and CD8+ CD28+ T cells
Cells derived form
In TNF-α studies
% CD28- of the
total CD8+ cells
% Total TNF-α±
In IFN-γ studies
% CD28- of the total
% CD28- producing
% Total IFN-γ ±
Secreted IFN-γ and TNF-α from T Cell Culture*
70,800 ± 8,500 (p < 0.001)
35,400 ± 6,200 (p < 0.005)
20,300 ± 3,000
16,900 ± 4,100
86,300 ± 15,600 (p < 0.001)
44,200 ± 7,800 (p < 0.005)
24,400 ± 6,200
19,400 ± 4,300
121,000 ± 15,600 (p < 0.001)
57,200 ≅ 11,500(p < 0.001)
27,300 ± 4,800
16,400 ± 4,900
Production of other cytokines (I1-2, 4, 6 and 10)
The ability of CD4+ and CD8+ T cells from aged and HIV+ donors to synthesize 11–2, 11–4, 11–6 and 11–10 were also studied by flow cytometry. Only in the case of 11–2 was an appreciable number of cytokine-producing cells observed . For normal young cells at least 15–30% of CD4+ cells were positive for 11–2 while only 3–6% of the CD8+ cells were positive. With HIV+ and aged T cells, there was a significant 11–2 response also, but it was generally smaller than from the young normal control cells (data not shown). The percentage of cells positive for production of 11–4, 11–6 and 11–10 was extremely low. The number of productive cells was often <1% and only rarely exceeded 2% of either the CD4+ or CD8+ population. No significant difference was observed between the control cells and those derived from HIV+ or aged donors.
Production of IFN-γ and TNF-α mRNA determined by Quantitative PCR
Secreted IFN-γ and TNF-α determined by ELISA
The PBMC and purified CD8+ T cells from eight donors and seven control donors were incubated for 66 hrs, and the media examined by ELISA. The results, shown in Table III, demonstrate that production of IFN-γ is upregulated over controls, from 3.5–4 fold, for the CD8+ T cells from HIV+ and aged donors. For TNF-α, the increase was also substantial, 2.3–4 fold.
Our data show that the HIV+ and aged conditions foster a change in the CD8+ T cell repertoire characterized by expansion of a CD8+ CD28- phenotype capable of enhanced IFN-γ and TNF-α production. These results contrast with other studies concluding that the production of these cytokines was downregulated or unchanged in T cells from HIV+ and aged individuals [21, 28–32, 37, 38]. Reliability in our findings derives from use of flow cytometric analysis which measures de novo synthesis per cell and thus obviates numerous artifacts possibly associated with ELISA or procedures that measure mRNA synthesis. Secondly, similar results were obtained with two different inhibitors of Golgi transport. Thirdly, of the cytokines examined, including 11–4, 11–6 and 11–10, only IFN-γ and TNF-α were enhanced in the HIV+ or aged states. Fourthly, CD4+ T cells did not show a significant change in IFN-γ production, but did show a small but significant increase in TNF-α production in aged and HIV+-derived cells. Fifthly, the mRNA and ELISA studies support the conclusions of the flow cytometric data.
The question arises whether or not our results have physiological relevance since PMA and anti-CD3 was used to elicit the cytokine responses we observed. The question resolves into two parts: are TNF-α and IFN-γ levels increased in the HIV+ and aged states, and do the CD8+ T cells show increased production of these cytokines. There is considerable evidence supporting both parts of this question. Regarding part one, IFN-γ levels are elevated in the sera of HIV+ patients . Serum levels of both TNF-α and IFN-γ were markedly higher in HIV+ patients over controls, but varied depending on the skin disease exhibited by the patient . AIDS patients also showed elevated TNF-α levels in the plasma . Studies of lymphocytes from aged donors showed increase serum levels of TNF-α and IFN-γ that correlate with upregulation of HLA-DR on CD3+-lymphocytes .
Regarding part two, there are many studies showing that physiological activation of CD8+ T cells from HIV+ or aged donors prompts increased IFN-γ and/or TNF-α production. HIV+ lymph nodes exhibit a large (6 fold) increase in CD8+ T cells, most of which are involved in IFN-γ production . Amison et al  concluded that IFN-γ is secreted by the CD8+ T cell in HIV+ infections. In CD8+ T cells from African HIV+ patients, stimulated with env peptide, both IFN-γ and TNF-α production were increased over controls . PBMC from the elderly (almost healthy donors) showed upregulation of TNF-α in unstimulated cultures . HLA-DR activation of CD8+ CD57+ cells from elderly subjects strongly produced TNF-α . Lipopolysaccharide-activation of T cells from aged donors induced higher levels of TNF-α than controls in two separate studies [53, 31]. Finally, in HIV+ patients receiving HIV type 1 antigen, both INF-γ and TNF-α were significantly increased in memory T cells activated by antigen .
Thus there appears to be considerable support for the enhanced presence of TNF-α and INF-γ in the HIV+ and the aged states, and for a physiologic role of the CD8+ T cell subset in their production. Our data shows that it is the CD8+ CD28- cell that is primarily responsible. Why the CD8+ CD28- subset should dominated in such apparently diverse conditions as the HIV+ and the aged states is not known. However, the notion that similarities exist between the HIV+ and the aged states with respect to the CD8+ CD28- T cell has been presented previously . It has also been proposed that the CD8+ CD28- T cell in the HIV+ state is derived from the CD8+ CD28+ cells by clonal expansion induced by massive antigenic stimulus (HIV proteins) since both showed the same epitope repertoire . Dolad et al  have shown that the CD8+ CD28- cell, not the CD8+ CD28+ cell, comprises the major CTL activity in the HIV+ state, a finding confirmed by Vingerhoets et al , who associated cytotoxic T cell activity with the CD8+ CD28- T cell in HIV-infected subjects. Thus, the CD8+ CD28- T cell assumes a crucial role in HIV infection. Likewise in the aged state, we can speculate that chronic viral and bacterial exposure over a lifetime may induce the clonal expansion of the CD8+ CD28- T cell.
There is evidence that the cytotoxic activity of the CD28- cell can lyse and suppress HIV-infected cells [58, 59] and thus play a protective role in HIV infection. Perhaps in the aged cell as well, the CD28- memory cell serves a similar protective role against a variety of viruses. The production of IFN-γ and TNF-α can result in strong anti-viral consequences as shown with hepatitis B virus , but the cytokines have a dual role since they are associated with inflammatory activity. IFN-γ, in its defensive role against infection, is a foremost factor in converting resting macrophages into the active state  where they produce reactive oxidants , nitric oxide , TNF-α , and neopterin. Not only can these factors damage DNA and host tissues but can modulate inflammatory reactions  and stimulate apoptosis , a major mechanism leading to loss of CD4+ T cells . TNF-α also has the capacity to perturb the clinical condition in AIDS by strongly upregulating the transcription of the HIV genome . In fact, it has been proposed  that AIDS is in many ways a TNF-α disease since this cytokine it is a potent activator of NF-kB, and an inducer of HIV genome transcription and apoptosis in HIV-infected T cells. Moreover, the wasting, weight loss, and cachexia associated with AIDS has also been related to TNF-α activity . Thus both IFN-γ and TNF-α have the potential for a double role in the pathogenesis associated with AIDS i.e. antiviral and inflammatory responses.
Based on the AIDS scenario, it is reasonable to propose that chronic viral and bacterial infections suffered by an individual over a lifetime may lead to similar consequences as those occurring in acute HIV infection, i.e., clonal expansion of the CD8+ CD28- subset at the expense of the CD8+ CD28- subset. The data argue that the CD28-cell may serve as a natural endpoint in the differentiation of CD8+ cells, as proposed by Effros et al , where aging represents a "normal endpoint" that occurs after many years of immune activity, while AIDS represents an accelerated endpoint due to the increase rate in T cell formation during attempted compensation for CD4+ loss induced by HIV. By virtue of their inflammatory roles, TNF-α and IFN-γ likely contribute to the exacerbation of the inflammatory conditions associated with the aged. For example, autoimmune diseases are more prevalent in the aged, where certain diseases such as arthritis are often associated with chronic debilitation. Interestingly, both IFN-γ and TNF-α are prominent in the pathogenesis of autoimmune diseases in general; the former by activation of local auto antigen presentation to appropriate T cells, and the latter by mediation of inflammatory tissue damage . Apparently TNF-α plays a central role in the chronic release of highly arthritogenic II-1 , and thus serves as a major factor in the pathogenesis of rheumatoid arthritis (RA) . Recent studies show that treatment with anti-TNF-α gives significant clinical improvement in RA . Thus our findings in aged individuals of a prominent CD8+ CD28- T cell subset with enhanced ability to produce TNF-α, may assume clinical relevance. It is logical to infer that the increased susceptibility of aged individuals to rheumatoid arthritis and other autoimmune pathologies, may be due to increased TNF-α (and IFN-γ) production by the CD8+ CD28- T cell. It should be noted that the action of IFN-γ on macrophages induces TNF-α production , thus amplifying the effects of the latter.
Although IFN-γ production in the HIV+ individual by the CD4+ T cells (TH1) has been emphasized [13, 45, 49] there appears to be little doubt that the production of IFN-γ by CD8+ CD28- cells may have greater clinical relevance as discussed above on the increased serum levels [45, 46]. With TNF-α as well, our data suggest it is likely that the increased serum levels in AIDS [46–48] may derive in part from increased numbers of CD8+ CD28-cells. However, TNF-α levels could also originate from monocytes stimulated by the enhanced IFN-γ production. In any case, the HIV+ state is replete with antagonistic complexities of antiviral effects of IFN-γ and TNF-α on one hand, and their inflammatory effects on the other. Overall, our data presents an intriguing parallel between AIDS and the aging state with regard to their cytokine and CD8+ T cell profiles, and the potential for new insight into aging mechanisms. It is noteworthy that our results are compatible with recent aging studies using gene arrays to measure gene expression in the neocortex and cerebellum of aged and young mice. Lee et al  found that in both brain regions, one hallmark of aging was enhanced gene expression of the inflammatory response, including proinflammatory peptides and many interferon-related proteins. Thus the advent of the CD8+ CD28- cell in aging, with its potential for proinflammatory cytokines, could have profound effects not only on autoimmune diseases, but on Alzheimer's disease as well since cytokines may contribute to the neuropathology .
Materials and Methods
Con A, phorbol myristate acetate (PMA), N-acetylcysteine (NAC), brefeldin A and monensin were obtained from Sigma (St. Louis, Mo.), fetal calf serum from Harlan Bioproducts (Madison, Wis.), anti-CD28 and anti-CD3 (4E) from Research Diagnostics (Flanders, N.J.). Purified monoclonal Ab anti-CD4, anti-CD8, anti-CD 14 and anti-CD 19, bound to magnetic beads (BioMag), were obtained from Perseptive Diagnostics (Cambridge, MA). Interleukin 4, 8, 10 and 12 were obtained from the Genzyme Corp.
This study was approved by the Institutional Review Board of the Ponce School of Medicine, Ponce, PR.
The HIV+ population (32 donors aged 22–34 years, mean 29.3 years) used in this study had a CD4+ T cell count from 210–500 cells/mm3 and fell in the A2 and B2 classification recommended by the Centers for Disease Control. Most (93%) of the HIV+ donors were receiving the anti-retroviral drug zidovudine. Transmission in the HIV+ donors was approximately 60% from intravenous drug use and 40% from unprotected sexual activity. Blood from forty aged individuals (mean 84.2 years, range 76–98 years) was collected for this study. The controls (48 young Hispanics aged 19–30 years, mean 23.7 years, from Ponce, Puerto Rico), had no serious medical problems. All donors were Hispanic, blood was collected from HIV+ individuals (Hispanic) under the direction of Dr. Harold I. Laroche and Dr. E. Godreau, Center for Diagnosis and Treatment, Ponce. The aged population, recruited from the retirement home Los Diamantes, had no serious medical problems in general. Some had minor arthritis and high blood pressure (medicated); one had Parkinson's disease.
Purified T cells
PBMC were prepared by Hypaque-Ficoll centrifugation of blood diluted 1:1 with PBS (5). For preparation of purified T cells (CD4+ and CD8+) free of macrophages, granulocytes, B cells, and NK cells, the PBMC (1 × 107 cells) were centrifuged, and diluted to 200 ul with 0.1% BSA in PBS. After addition of 10 ul of fetal calf serum and 10 ul of antibody "mix" (T cell negative isolation kit from Dynal Inc), the cells were incubated 10 minutes at 4°, washed in PBS, and suspended in 900 ul PBS with 100 ul of "depletion" beads (Dynal). After 15 minutes at room temperature, the beads are magnetically removed leaving highly purified T cells (CD4+ and CD8+, 98% purified in general). The yield varied from 40–50% based on the starting number of PBMC. For the preparation of purified CD4+ T cells, 2 × 107 purified T cells were incubated for 30 minutes on ice with BioMag mouse anti-human CD8 (IgG1) monoclonal Ab (500 ul) in 3.0 ml RPMI plus 9% FCS (diluted 1:1) for 30 min on ice with rocking. Similarly, to obtain purified CD8+ T cells, the same procedure was followed except BioMag mouse anti-human CD4 (IgG2a) monoclonal Ab (500 ul) was used. The cell suspension was brought to 10 ml with cold RPMI media, and the desired T cell subset was obtained by magnetic removal of the contaminating cells. Flow cytometric analysis indicated that the T cell subsets were 93–98% purified. The yield of control and aged cells varied from 58–89% generally, whereas the yield from HIV+ blood generally fell between 24–68%. Accessory cells were effectively removed during T cell isolation as shown by the failure of mitogen-induced proliferation in the absence of coactivators. All cell purification steps were completed and assays initiated within 10 hrs. after blood donation. The purified CD8+ T cells were used for the ELISA and quantitative PCR studies.
Flow cytometric analysis (FC)
Prior to FC analysis, PBMC (3.3 × 105) suspended in 600 ul media were incubated at 37°C overnight in 6% CO2 with anti-CD3 (1:500 dilution of acetates fluid) and PMA (2.5 ng/ml) as described previously . Either monensin (1 uM) or brefeldin A (1 ug/ml) was used in all cases to block Golgi function and allow cytokine accumulation with the cell. For analysis of CD4+ and CD8+ T cells, the PBMC (activated and non activated controls) were treated as described by the PharMingen (Flow Cytometry and Cell Analysis Catalog (1998) "Immunofluorescent Staining of Intracellular Cytokines for Flow Cytometric Analysis", pp415-417). Briefly, PBMCs were washed twice with staining buffer (PBS plus 0.5% bovine serum albumin), and then fixed by suspending in cold 0.5% paraformaldehyde (PFA). After incubation for 20 min at 4°, the cells were centrifuged, decanted and resuspended in 4% PFA for 30 min at 4°. Cells were then washed with 1 ml of staining buffer, and incubated 30 min at 4° with 50 ul permeabilization buffer (0.1% saponin, PBS, 0.1% azide). To the cell pellet, 3 ul of phycoerythrin (PE) conjugated mouse anti-human IFN-γ or TNF-α monoclonal Ab (Pharmingen Inc.) was added and incubated 30 min at 4°. The cells were then washed with 1 ml permeabilization buffer, spun down, and gently resuspended. Then 10 ul of fluorescein isothiocyanate (FITC) mouse anti-CD8 (Leu-2a) (Becton-Dickinson), and 10 ul peridinin chlorophyll (PerCP) mouse anti-CD3 (Leu-4) (Becton-Dickinson) were added, followed by incubation in the dark for 20 min at room temperature. After washing with 1 ml of staining buffer, the cells were fixed with 600 ul of 0.5% PFA for approximately 1 day and then analyzed with a FACSCalibur flow cytometer (Becton-Dickinson) equipped with a FL4 channel.
As an alternative to FC analysis of activated PBMC described above, we also studied activated CD4+ and CD8+ T cells purified as described in the previous sections. These studies we carried out in order to completely eliminate the possibility, however remote, that our FC procedure did not discriminate between the CD8+ T cells and NK cells, which have low density CD8+ receptors. However, our FC procedure used a sufficiently high "anchor gate" to examine only the high density CD8+ receptors which are uniquely characteristic of the CD8+ T cell. This is accomplished by using an "anchor gate" which is sufficiently high. As expected, our analysis of CD8+ T cells using either the purified cells or the PBMC were in complete agreement in 5 experiments in which they were compared, i.e., both showed the same increased production of IFN-γ and TNF-α from HIV+ derived or aged CD8+ T cells.
Analysis of CD4+ and CD8+ T cells
Four-color cytometric analysis was performed with a Power-Macintosh 7600 computer with Cellquest software. Statistical analysis was performed on data collected from 10,000 events (data points) per cell sample. To distinguish t cell subsets, a gate was drawn around lymphocytes by forward scatter and side scatter (region 1 (R1)). T cells were identified as a CD3 (FL3) positive population (R2), thereby excluding CD3- populations such as B cells, macrophages, and NK cells. In order to analyze T cell subsets (CD4+ and CD8+ cells) for each cytokine production, contour plots on CD8+ (FL1)/ cytokine (FL2) of logical gate 1 events (R1 + R2) were obtained. The event numbers and percentages of each quadrant event were recorded. For simplicity, the CD3+ CD8- T cell subset are assumed to be CD4+ and labeled as such in Fig. 1. In our experience, the CD3+ CD4+ comprise 95% or more of the CD3+ CD8- T cell subset in normal blood. In HIV+ blood, a few CD4+ T cells may be masked by soluble gp-120, but this would not affect the CD3+ CD8+ population.
Analysis of CD28+ and CD28- T cells using four-color cytometry
For this study, PBMC were treated as described above except that anti-human CD3+ (FL4) coupled to allophycocyanin (APC) was used along with anti-IFN-γ FITC (FL1), anti-CD28 PE (FL2) and anti-CDS PerCP (FL3). Region 1 (R1) was drawn to identify lymphocytes by forward scatter and side scatter, and R2 was drawn to identify T cells (FL4 positive). Logical gate 1 (R1+R2) was used to identify CD4 (FL3 negative) and CD8 (FL3 positive) subsets that were designated as R3 and R4 respectively. Logical gate 2 (R1+R2+R3) events were analyzed for cytokine production by CD28+(FL2) or CD28- subpopulations by plotting two dimensional contour plots. Logical gate 3 (R1+R2+R4) events were similarly analyzed.
The competitive PCR was performed using both IFN-γ mRNA and TNF-α mRNA detection kits from BioSource Corp. The mRNA was highly purified from purified CD8+ cells activated for 3 hrs, with the Ambion RNAqueous kit for total RNA, and the Micro Poly (A) pure kit for mRNA. Generally the mRNA obtained was near 2% of total RNA. The cDNA was obtained by use of reverse transcriptase (Invitrogen). PCR was performed in 100 ul final volume containing: 1) 3 ul of IFN-γ primer; 2) 18 ul 10X reaction buffer; 3) 25 ul 200 uM NTP's; 4) 44.5 ul H2O; 5) 5 ul cDNA; 6) 5 ul Internal Calibration Standard (ICS) DNA and 0.5 ul Taq polymerase. Components were gently mixed and centrifuged, then heated 2 min at 95°. Thirty cycles were performed with a Perkin Elmer 9600 thermocycler as follows: 1 min at 95°, 1 min at 55°, 1 min at 72°. The reaction was next heated at 72° for 10 min following by cooling at 4°. A 15 ul sample from each PCR reaction was analyzed on 2% agarose gels containing 0.5 ug/ml ethidium bromide along with molecular weight standards to determine the fragment size. Bands were visualized under UV light and photographed using Polaroid film.
After cDNA amplification, 25 ul of PCR mix was removed and transferred to a microcenterfuge tube. The same volume of denaturation solution (alkaline pH) was added to the tube and incubated for 10 min at room temperature. The material was neutralized by the addition of 450 ul of hybridization solution prior to addition to the ICS or IFN-γ oligonucleotide capture wells (OCW). In order to acquire quantitative results the denatured amplicons were analyzed at 1/20, 1/100, 1/200 dilution in hybridization buffer.
Following hybridization, unbound material was removed by washing the wells four times with 200 ul diluted wash buffer; 100 ul of streptavidin – HPR was then added to each well and incubated for 30 min at room temperature. The wells were washed again, and 100 ul of stabilized chromogen (substrate) was added. After a 30 minute incubation in the dark, the reaction was stopped by addition of 100 ul stop solution and the observance was measured at 450 nm. The optical density (OD) in each well is proportional to the amount of amplicon present, which can be related to the copy number of either ICS or IFN-γ in the original PCR reaction. The total OD is calculated as sample OD multiplied by the amplicon dilution. The number of copies of IFN-γ in each PCR reaction are calculated from the ratio of total OD for the IFN-γ specific well to the total OD for the ICS well times the and input copies of the ICS.
The IFN-γ and TNF-α secreted by CD8+ T cells into culture media was quantitated using an Elisa kit from either BioSource (Corp.) or Research Diagnostics. The CD8+ T cells were incubated at 37° for 66 hours in precisely the same way as for mitogenic assay except volumes were doubled and 50,000 cells were used. Samples were run in duplicate, the results were highly reproducible (S.D. <15% for any given assay) and sensitive. However, sensitivity was not important since with most samples it was necessary to dilute the culture fluid by 1:20 or more. The procedure was followed as recommended by the manufacturer. The standard curves for IFN-γ and TNF-α, which intersected the origin, was generally linear up to 500 pg/ml for recombinant IFN-γ and 400 pg/ml for TNF-α.
We wish to thank Miss Veronica Rodríguez for excellent technical help, and Dr. Carlos Ríos-Bedoya of the RCMI Epidemiology and Biostatistics Program. This work was supported by NIH Research Grants S06 GM 08239 (MBRS) and 5 G 12RR03050 (RCMI).
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