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AIDS:
23 November 2001 - Volume 15 - Issue 17 - pp 2245-2250
Basic Science: Concise Communications

T cell receptor excision circles and HIV-1 2-LTR episomal DNA to predict AIDS in patients not receiving effective therapy

Goedert, James J.; O'Brien, Thomas R.; Hatzakis, Angelos; Kostrikis, Leondios G.; for the Multicenter Hemophilia Cohort Study

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Author Information

From the aViral Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville Maryland, USA, the bNational Retrovirus Reference Center, Department of Hygiene and Epidemiology, Athens University Medical School, Athens, Greece and the cAaron Diamond AIDS Research Center, Rockefeller University, New York, USA. *See Cited Here... for collaborators and institutions in the Multicenter Hemophilia Cohort Study. Current address: Department of Hygiene and Epidemiology, School of Medicine, University of Athens, Athens (Goudi), Greece.

Requests for reprints to Dr J. J. Goedert, Viral Epidemiology Branch, National Cancer Institute, Rockville Maryland, USA.

Received: 20 April 2001;

revised: 27 June 2001; accepted: 11 July 2001.

Sponsorship: This work was supported in part by National Cancer Institute contract NO1-CP-33002 with Research Triangle Institute. L. G. K. was supported by grants provided by the National Institutes of Health (R01-AI43868) and the Elizabeth Glazer Pediatric AIDS Foundation (PG-51086-25).

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Abstract

Objective: To determine whether improved prediction of AIDS-free survival following HIV-1 seroconversion is achieved by measuring HIV-1 2-LTR episomal DNA (2-LTR) circles and T cell receptor rearrangement excision circles (TREC), reflecting HIV replication and lymphocyte emigration from the thymus, respectively.

Design: Subanalysis of a cohort of 154 patients with hemophilia who became HIV positive between 1978 and 1985 and were followed prospectively.

Cited Here...: Relative hazards (RH) of AIDS, in the absence of highly effective anti-HIV therapy, were estimated for age, HIV-1 viral load, CD4 lymphocyte count and levels of HIV-1 2-LTR circles and TREC [per 106 peripheral blood mononuclear cells (PBMC)].

Cited Here...: TREC correlated significantly with CD4 cell counts (r = 0.30) and age (r = -0.60). 2-LTR circles correlated significantly with HIV-1 viral load (r = 0.35). If viral load, CD4 lymphocytes and age were included in a proportional hazards model, the risk of AIDS during a median of 11.6 years of follow-up was increased significantly with fewer TREC (adjusted RH, 2.0 per log10 copies/106 PBMC) and more 2-LTR circles (RH, 1.7 per log10 copies/106 PBMC). AIDS prediction with TREC and 2-LTR circles held for most subgroups defined by median viral load, CD4 lymphocytes and age.

Conclusions: PBMC that have high levels of HIV-1 replication and low levels of recent thymic emigrants are associated with a substantially increased risk of AIDS. It is not known if measurement of either TREC or 2-LTR circles will complement HIV-1 viral load as an estimation of the risk of AIDS for patients who are receiving highly effective anti-HIV therapy.

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Introduction

Low levels of T cell receptor rearrangement excision DNA circles (TREC) in peripheral blood lymphocytes appear to be associated with and are potentially predictive of AIDS risk among persons with HIV-1 infection [1-3]. TREC are thought to represent a marker of recent thymic emigrants [4], although this is debated [5]. More recently, circular episomal DNA sequences from the two long-terminal repeats (2-LTR) of the HIV-1 genome have been identified in lymphocytes [6-10]. These 2-LTR circles are short lived and occur only when HIV-1 provirus is being actively reverse transcribed. They, therefore, identify infected cells in which HIV-1 is replicating [7], and they have been associated with adverse signs of HIV-1 progression [6-10]. As part of a continuing effort to clarify the biology of HIV-1-related immunosuppression and the risk of AIDS in a population-based cohort, we sought to determine whether TREC and 2-LTR circles were predictive of AIDS in the era prior to highly active antiretroviral therapy (HAART) and whether such associations were independent of HIV-1 viral load, age and CD4 cell count.

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Methods

Patients and laboratory assays

In the Multicenter Hemophilia Cohort Study, HIV-1 viral load in serum during early chronic infection in 165 subjects was shown to be predictive of AIDS risk for more than 10 years in the future [11]. In these same subjects, cryopreserved peripheral blood mononuclear cells (PBMC), separated from blood obtained at the same time or as close as possible to the viral load measurement, were sought for TREC and 2-LTR analysis. The number of copies of TREC and the CCR5 gene were quantified by realtime polymerase chain reaction (PCR) using methods described previously [3]. TREC levels were expressed as copies per 106 PBMC [3]. CCR5 was used to determine the denominator number of PBMC. HIV-1 2-LTR DNA circles encoding the R-U5-U3 region were quantified by a molecular-beacon-based realtime PCR assay as previously described [12]. HIV-1 viral load was determined with a commercial assay (HIV Amplicor Monitor, Roche Molecular Diagnostics, Branchburg, New Jersey, USA), and CD4 and CD8 cell counts were determined by conventional flow cytometry [11,13].

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Statistical analysis

Median and interquartile range (IQR) values were determined. Spearman correlation was used to evaluate the relationships among the variables. Univariate and multivariate Cox proportional hazards models for AIDS risk were constructed with PROC PHREG of the Statistical Analysis System (SAS Institute, Cary, North Carolina, USA) using continuous measures (log10 transformed TREC and 2-LTR levels and HIV-1 serum viral loads; untransformed age and CD4 cell counts). Univariate models and bivariate models (not presented) were constructed with the TREC and 2-LTR variables stratified using median values of HIV-1 viral load, age, and CD4 cell count. The cohort was defined and each participant was followed starting with the individual dates of HIV-1 antibody seroconversion. To accommodate late entry (that is, missing participants who progressed to AIDS before they could be tested for TREC/ 2-LTR), each participant entered the Cox models on his or her TREC/ 2LTR date using the 'entry time' option of PROC PHREG. The Cox proportionality assumption was checked with Kaplan-Meier plots (not presented). The log-likelihood test with liberal entry and stay criteria (P < 0.15) was used for inclusion and retention in the final multivariate model.

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Results

Specimens for TREC and 2-LTR analysis were available for 161 (98%) of the previously reported 165 subjects. However, because the only specimen for seven subjects was after AIDS onset, the analysis was limited to the remaining 154 subjects (93% of the cohort) whose 2-LTR and TREC levels were measured at a median of 4.9 years (IQR, 4.1-5.6) after HIV-1 seroconversion.

The analyzed cohort of 154 subjects had a median age of 24 years (IQR 15-32). The distributions of TREC and 2-LTR levels by HIV-1 viral load, CD4 cell count and age are shown in Fig. 1. The median values were < 10 copies/106 PBMC for 2LTR and 5551 copies/106 PBMC for TREC. Median values for the other markers were HIV-1 RNA 35 175 copies/ml, CD4 cell count of 479 × 106 cells/l and CD8 cell count of 713 × 106 cells/l. TREC level (Fig. 1a-c) was correlated significantly with CD4 cell count (r = 0.30;P = 0.0002) and inversely with age (r = -0.60;P = 0.0001). 2-LTR level was significantly correlated with HIV-1 serum viral load (r = 0.35;P = 0.0001;Fig. 1d).

Fig. 1
Fig. 1
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Fifty-six (36%) of the 154 subjects developed AIDS during a median follow-up of 11.6 years (IQR, 9.3-13.3). In univariate analysis, risk of AIDS was significantly increased with high age [relative hazard (RH) 1.4 per decade], high HIV-1 serum viral load (RH 2.8 per log10 copies/ml), low CD4 cell count (RH 1.2 per 100 × 106 cells/l), low TREC level (RH 3.8 per 106 PBMC), and high 2-LTR level (RH 2.3 per log10 copies). All five of these variables remained significantly related to AIDS risk in multivariate analysis, including HIV-1 viral load (adjusted RH, 2.4), CD4 cell count (adjusted RH, 1.1), age (adjusted RH, 1.3), TREC level [adjusted RH, 2.0; 95% confidence interval (CI), 1.0-3.9), and 2-LTR level (adjusted RH 1.7; 95% CI, 1.1-2.8). The univariate and multivariate results for TREC and 2-LTR are presented in Table 1, as are stratified analyses designed to identify subgroups in which TREC and 2-LTR might be more or less predictive of AIDS risk. Lower TREC values were associated with increased AIDS risk in every subgroup, although this was not statistically significant in young participants (RH 1.8; 95% CI, 0.6-5.2), those who seroconverted at or before 24 years of age. Higher 2-LTR levels were significantly associated with increased AIDS risk except in the two lowest risk strata: participants with a high CD4 cell count (RH, 1.6; 95% CI, 0.8-3.0) or a low HIV-1 viral load (RH, 0.7; 95% CI, 0.1-3.5).

Table 1
Table 1
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Discussion

As expected, AIDS risk was increased with high HIV-1 viral load, older age and lower CD4 cell count. AIDS risk was also significantly increased with a low TREC level or a high 2-LTR level. Our TREC findings confirm those previously reported for a population of hemophiliacs in Greece [3], specifically that AIDS risk in the pre-HAART era was related strongly and inversely to TREC level. In our study, AIDS risk was reduced by half for each log10increment in TREC. The TREC association was independent of the viral load and age, and it complemented traditional CD4 cell testing for estimating AIDS risk.

A new marker of HIV-1 proviral load, 2-LTR episomal DNA circles, was also evaluated. This represents the number of PBMC that are infected with actively replicating HIV-1. This complements serum or plasma HIV-1 viral load, which reflects the homeostasis between virions shed into and cleared from the circulation. Our finding that high levels of 2-LTR circles was predictive of AIDS corroborates and extends previous cross-sectional [6,8] and short-term prospective [9,10] studies, lending further evidence that immunodeficiency results from replicating HIV-1 infection.

Our study had several limitations. Serum viral load and 2-LTR level were highly correlated, which provided face validity. However, as viral load is a strong predictor of AIDS risk, the correlation made it difficult to identify an independent predictive effect of 2-LTR. In addition, although no violations of the proportional hazards assumption of the models or statistically significant interactions among the variables were identified, our inability to detect 2-LTR sequences in the cells of many participants emphasizes that the observation of higher AIDS risk with high levels of 2-LTR must be viewed cautiously. Two other studies have reported that 2-LTR circles could be detected in approximately half of HIV-1-infected patients receiving no or minimal antiretroviral therapy [9,10], suggesting that our 2-LTR assay had comparable sensitivity. Finally, sparse data limited our power to perform subgroup and multivariate analyses. As summarized in Table 1, in each of six predefined subgroups, AIDS risk was elevated with low TREC and, except for participants with low viral loads (< 36 000 copies/ml), with high 2-LTR.

Substantial increases in TREC level following HAART initiation have been reported in a small number of adults and children, and in some patients these TREC increases correlated with successful clearance of HIV-1 from the plasma and with recovery of cellular responses to a neoantigen [1,2,14,15]. Conversely, among patients receiving HAART with no detectable plasma viral load, detection of 2-LTR circles recently was associated with productive outgrowth of HIV-1 in culture and with lower CD4 cell counts, both of which are likely to be adverse signs [16]. Nonetheless, it still remains to be seen whether TREC or 2-LTR levels are prognostic for treatment failure or clinical endpoints among patients receiving effective therapy.

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Acknowledgements

The authors thank Ms Liliana Preiss (Research Triangle Institute) for computer programming, Dr Barbara Kroner (Research Triangle Institute) for study management and Dr Robert Biggar for suggestions on the manuscript. They especially thank the study participants, the hemophilia center staff, and the collaborators of the Multicenter Hemophilia Cohort Study for their tireless contributions.

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References

1. Douek DC, McFarland RD, Keiser PH. et al. Changes in thymic function with age and during the treatment of HIV infection. Nature 1998, 396: 690-695.

2. Zhang L, Lewin SR, Markowitz M. et al. Measuring recent thymic emigrants in blood of normal and HIV-1-infected individuals before and after effective therapy. J Exp Med 1999 , 190: 725-732.

3. Hatzakis A, Touloumi G, Karanicolas R. et al. Effect of recent thymic emigrants on progression of HIV-1 disease. Lancet 2000, 355: 599-604.

4. Kong FK, Chen CL, Six, A, Hockett RD, Cooper MD. T cell receptor gene deletion circles identify recent thymic emigrants in the peripheral T cell pool. Proc Natl Acad Sci USA 1999, 96: 1536-1540.

5. Hazenberg MD, Otto SA, Cohen Stuart JW. et al. Increased cell division but not thymic dysfunction rapidly affects the T-cell receptor excision circle content of the naive T cell population in HIV-1 infection. Nat Med 2000, 6: 1036-1042.

6. Pauza CD, Trivedi P, McKechnie TS, Richman DD, Graziano FM. 2-LTR circular viral DNA as a marker for human immunodeficiency virus type 1 infection in vivo. Virology 1994, 205: 470-478.

7. Sharkey M, Teo I, Greenough T. et al. Persistence of episomal HIV-1 infection intermediates in patients on active anti-retroviral therapy. Nat Med 2000, 6: 76-81.

8. Garbuglia AR, Salvi R, Di Caro A. et al. Peripheral lymphocytes of clinically non-progressor patients harbor inactive and uninducible HIV proviruses. J Med Virol 1995, 46: 116-121.

9. Zazzi M, Romano L, Catucci M. et al. Evaluation of the presence of 2-LTR HIV-1 unintegrated DNA as a simple molecular predictor of disease progression. J Med Virol 1997, 52: 20-25.

10. Panther LA, Coombs RW, Zeh JE, Collier AC, Corey L. Unintegrated circular HIV-1 DNA in the peripheral mononuclear cells of HIV-1-infected subjects: association with high levels of plasma HIV-1 RNA, rapid decline in CD4 count, and clinical progression to AIDS. J Acquir Immune Def Syndr Hum Retrovirol 1998, 17: 303-313.

11. O'Brien TR, Blattner WA, Waters D. et al. Serum HIV-1 RNA levels and time to development of AIDS in the Multicenter Hemophilia Cohort Study. J Am Med Assoc 1996, 276: 105-110.

12. Valentin A, Trivedi H, Lu W, Kostrikis LG, Pavlakis GN. CXCR4 mediates entry and productive infection of syncytia-inducing (X4) HIV-1 strains in primary macrophages. Virology 2000, 269: 294-304.

13. Goedert JJ, Kessler CM, Aledort LM. et al. A prospective study of human immunodeficiency virus type 1 infection and the development of AIDS in subjects with hemophilia. N Engl J Med 1989, 321: 1141-1148.

14. Douek DC, Koup RA, McFarland RD, Sullivan JL, Luzuriaga K. Effect of HIV on thymic function before and after antiretroviral therapy in children. J Infect Dis 2000, 181: 1479-1482.

15. Markert ML, Hicks CB, Bartlett JA. et al. Effect of highly active antiretroviral therapy and thymic transplantation on immunoreconstitution in HIV infection. AIDS Res Hum Retroviruses 2000, 16: 403-413.

16. Dornadula G, Nunnari G, Vanella M. et al. Human immunodeficiency virus type 1-infected persons with residual disease and virus reservoirs on suppressive highly active antiretroviral therapy can be stratified into relevant virologic and immunologic subgroups. J Infect Dis 2001, 183: 1682-1687.

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Appendix

Institutions and Investigators in the Multicenter Hemophilia Cohort Study. National Cancer Institute, Rockville and Frederick, Maryland, USA: J. J. Goedert, T. R. O'Brien, P. S. Rosenberg, C. S. Rabkin, E. A. Engels, M. Hisada, E. Maloney, M. H. Gail, S. J. O'Brien, M. Dean, M. Carrington, M. Smith, C. Winkler; Division of Hematology/Oncology, Pennsylvania State University College of Medicine, Hershey, Pennsylvania, USA: M. E. Eyster; Cardeza Foundation Hemophilia Center, Philadelphia, Pennsylvania, USA: S. Shapiro; University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA: B. Konkle; Mountain States Regional Hemophilia and Thrombosis Program, University of Colorado, Aurora, Colorado, USA: M. Manco-Johnson; Hemophilia Treatment Center, New York Presbyterian Hospital, New York, USA: D. DiMichele, M. W. Hilgartner; Christiana Hospital, Newark Delaware, USA: P. Blatt; Hemophilia Center, Mount Sinai Medical Center, New York, USA: L. M. Aledort, S. Seremetes; Gulf States Hemophilia Center, University of Texas at Houston, Texas, USA: K. Hoots; Hemophilia Center, Children's Hospital National Medical Center, Washington DC, USA: A. L. Angiolillo, N. L. C. Luban; Hemophilia Center, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA: A. Cohen, C. S. Manno; Tulane University Medical School, New Orleans, Louisiana, USA: C. Leissinger; Comprehensive Hemophilia Center, University of North Carolina, Chapel Hill North Carolina, USA: G. C. White II; Case Western Reserve University School of Medicine, Cleveland Ohio, USA: M. M. Lederman, S. Purvis, J. Salkowitz; Georgetown Univeristy Medical Center, Washington DC, USA: C. M. Kessler; Hemophilia Center, Second Regional Blood Transfusion Center, Laikon General Hospital, Athens, Greece: A. Karafoulidou, T. Mandalaki; National Retrovirus Reference Center, Athens University Medical School, Athens, Greece: A. Hatzakis, G. Touloumi; Medizinische Klinik Innerstadt der Maximilian, Munich University, Munich, Germany: W. Schramm, F. Rommel; Haemostasis Unit, Hospital Cantonal Universitaire, Geneva, Switzerland: P. de Moerloose; University of Vienna Medical School, Vienna, Austria: S. Eichinger; University of Cincinnati Medical Center, Cincinnati, Ohio, USA: K. E. Sherman; Scientific Applications International Corp., Frederick, Maryland, USA: D. Whitby, D. Waters; and Research Triangle Institute, Rockville Maryland, USA: V. Lamprecht, B. L. Kroner. Cited Here...

Keywords:

AIDS incidence; prospective cohort study; hemophilia; T-cell production; HIV-1 replication

© 2001 Lippincott Williams & Wilkins, Inc.

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