Go to JCI Insight
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Advertising
  • Job board
  • Contact
  • Clinical Research and Public Health
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Gastroenterology
    • Immunology
    • Metabolism
    • Nephrology
    • Neuroscience
    • Oncology
    • Pulmonology
    • Vascular biology
    • All ...
  • Videos
    • Conversations with Giants in Medicine
    • Video Abstracts
  • Reviews
    • View all reviews ...
    • Complement Biology and Therapeutics (May 2025)
    • Evolving insights into MASLD and MASH pathogenesis and treatment (Apr 2025)
    • Microbiome in Health and Disease (Feb 2025)
    • Substance Use Disorders (Oct 2024)
    • Clonal Hematopoiesis (Oct 2024)
    • Sex Differences in Medicine (Sep 2024)
    • Vascular Malformations (Apr 2024)
    • View all review series ...
  • Viewpoint
  • Collections
    • In-Press Preview
    • Clinical Research and Public Health
    • Research Letters
    • Letters to the Editor
    • Editorials
    • Commentaries
    • Editor's notes
    • Reviews
    • Viewpoints
    • 100th anniversary
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • Reviews
  • Review series
  • Conversations with Giants in Medicine
  • Video Abstracts
  • In-Press Preview
  • Clinical Research and Public Health
  • Research Letters
  • Letters to the Editor
  • Editorials
  • Commentaries
  • Editor's notes
  • Reviews
  • Viewpoints
  • 100th anniversary
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Advertising
  • Job board
  • Contact
Top
  • View PDF
  • Download citation information
  • Send a comment
  • Terms of use
  • Standard abbreviations
  • Need help? Email the journal
  • Top
  • Acknowledgments
  • References
  • Version history
  • Article usage
  • Citations to this article

Advertisement

Commentary Free access | 10.1172/JCI9590

Benchmarks for antiretroviral therapy

Oren J. Cohen and Anthony S. Fauci

Address correspondence to: Oren J. Cohen, National Institute of Allergy and Infectious Diseases, 31 Center Drive MSC 2520, Building 31, Room 7A05, Bethesda, Maryland 20892-2520, USA. Phone: (301) 435-8583; Fax: (301) 594-7047; E-mail: ocohen@nih.gov.

Find articles by Cohen, O. in: PubMed | Google Scholar

Address correspondence to: Oren J. Cohen, National Institute of Allergy and Infectious Diseases, 31 Center Drive MSC 2520, Building 31, Room 7A05, Bethesda, Maryland 20892-2520, USA. Phone: (301) 435-8583; Fax: (301) 594-7047; E-mail: ocohen@nih.gov.

Find articles by Fauci, A. in: PubMed | Google Scholar

Published March 15, 2000 - More info

Published in Volume 105, Issue 6 on March 15, 2000
J Clin Invest. 2000;105(6):709–710. https://doi.org/10.1172/JCI9590.
© 2000 The American Society for Clinical Investigation
Published March 15, 2000 - Version history
View PDF

Sharp declines in HIV-related morbidity and mortality over the last 4 years are due in part to a fuller understanding of the pathogenesis of HIV infection, the availability of sensitive assays that measure viral replication in vivo, and the use of combinations of antiretroviral drugs that profoundly suppress viral replication for prolonged periods (i.e., highly active antiretroviral therapy, or HAART) (1, 2). These welcome developments, however, have not come without a host of new caveats and cautions. Currently available antiretroviral drugs, although potent, are unable to inhibit viral replication completely (3–6); in addition, HIV is able to persist in latent and anatomically privileged reservoirs (7). HAART regimens are further handicapped by the myriad toxicities and drug interactions associated with their use. These factors, combined with the requirement that patients take a large number of pills, often in excess of 10 daily, make adherence to the regimens exceptionally difficult.

Perhaps the greatest obstacle to the optimal, judicious use of HAART is the uncertainty that pervades the decision-making process. Recommendations regarding when to initiate antiretroviral therapy, what drugs to use, and what constitutes treatment failure are based on an uncomfortable mixture of real data and expert opinion (8, 9). Encouraged by early hopes of HIV eradication, many clinicians strive at all costs to achieve undetectable levels of plasma viremia in their patients. Unfortunately, it is becoming increasingly clear that this strategy leads to frequent switching of HAART regimens, which rapidly exhausts effective treatment options.

In this issue of the JCI, Rizzardi and colleagues provide clinicians with a valuable benchmark that will help to optimize the use of HAART (10). The investigators studied 118 treatment-naïve patients with CD4+ T cells counts greater than 250 cells/μL and levels of plasma viremia greater than 5,000 copies/mL who achieved an undetectable level (i.e., < 50 copies/mL) of plasma viremia on HAART. A baseline lymph-node biopsy was performed in 53 of these patients; baseline virologic and immunologic parameters in peripheral blood and lymphoid tissue were analyzed for their predictive value with regard to response to treatment. By between 2 and 24 weeks after therapy began, plasma viremia was undetectable in all cases. Some of the variability in the duration of the treatment needed may be due to the fact that 8 different regimens were employed in 5 different studies. However, independent of possible drug-specific effects, the number of cells in lymphoid tissue that expressed HIV RNA at baseline correlated strongly with the baseline levels of plasma viremia, and both of these variables were highly predictive of the duration of treatment necessary to suppress viremia.

The correlation between the number of cells expressing HIV RNA in lymphoid tissue and the level of plasma viremia extends previous observations and highlights an important facet of the pathogenesis of HIV infection (11). Earlier work had clearly established the role of lymphoid tissue as a major site of HIV replication in vivo (12, 13). Initial studies with HAART demonstrated that steady-state levels of plasma viremia derive largely from newly infected target cells that are in a rapid state of turnover (14–16). This conclusion follows from the rapid exponential decay of plasma viremia following initiation of HAART and the fact that the antiretroviral drugs employed (i.e., reverse transcriptase and protease inhibitors) block infection of new cells but do not affect viral RNA expression in cells that are already infected. Taken together, these previous findings suggest that constant infection of new target cells in lymphoid tissue is a major contributor to the level of plasma viremia in a patient; the observations of Rizzardi et al. lend further support to this hypothesis.

It should not be surprising that the time necessary to achieve an undetectable level of plasma viremia depends on the baseline level of plasma viremia and the number of cells in lymphoid tissue expressing HIV RNA. Exponential decay of plasma viremia for several weeks after initiation of HAART is followed by a slower, but also fairly constant second phase of decay. The steep exponential decay reflects the rapid turnover of infected CD4+ T cells, whereas the second-phase decay reflects attrition of longer-lived infected cells, such as macrophages (16). The exponential nature of the decay predicts that the higher the baseline level of plasma viremia, the longer it will take to achieve an undetectable level. Thanks to the robust data set in the study by Rizzardi et al., this prediction is confirmed and should prove to be a very useful benchmark for following the response to initial antiretroviral therapy. Using the plasma viremia decay curve generated by the 118 study subjects, one can readily predict the time necessary to achieve an undetectable level given any baseline level of viremia. Thus, for a baseline level of plasma viremia of 1,000 HIV RNA copies/mL, a level of less than 50 copies/mL should be achieved after approximately 15 days of therapy; for a baseline of 10,000 copies/mL, approximately 7 weeks of therapy would be necessary; for a baseline of 100,000 copies/mL, 11.5 weeks; and for a baseline of 1,000,000 copies/mL, 16 weeks. The baseline number of cells expressing HIV RNA in lymphoid tissue was also an excellent predictor of the time necessary to achieve undetectable levels of plasma viremia. Given the cohort’s mean number of HIV-expressing cells per area of lymphoid tissue (72 cells per 100 mm2), decay curves revealed that 83 days of treatment would be necessary to abolish detectable viremia. This estimate is in excellent agreement with the predicted 73 days of treatment necessary to achieve viremia of less than 50 copies/mL from the cohort’s mean baseline level of viremia (∼60,000 copies/mL).

How should the findings of Rizzardi and colleagues alter the care of HIV-infected individuals? Current guidelines recommend that a change in antiretroviral therapy be considered if plasma viremia remains in the detectable range 4 to 6 months after initiating therapy (8). This recommendation is greatly strengthened by the data of Rizzardi et al; only 1 (0.8%) subject in the study failed to reach this benchmark by that time. Each time they initiate therapy on a patient, clinicians might be encouraged to consult Figure 3 in the article by Rizzardi et al., which depicts the estimated time to suppress plasma viremia. Both patient and physician might then have a more accurate expectation regarding the length of time that will be needed to achieve an undetectable level of viremia, and plans for follow-up testing of viral load can be made accordingly. However, variable responses should still be expected; in this regard, individuals with 100,000 copies/mL at baseline required approximately 3–21 weeks of therapy to achieve an undetectable viremia. Another caveat concerns the interpretation of data in patients with high baseline viremia, because only 2 patients in the cohort had baseline levels of viremia greater than 1,000,000 copies/mL.

Several variables have strong predictive power for virologic success or failure during antiretroviral therapy. Baseline levels of viremia and numbers of CD4+ T cells are both important prognosticators (17–20); higher levels of viremia and lower numbers of CD4+ T cells predict a shorter duration of viral suppression. The rate of decay of viremia and the depth of the nadir achieved are also prognostically important with regard to viral suppression (20–24). Data from the DELTA trial further suggest that the nadir level of viremia achieved on therapy is predictive of survival (25). The present report allows for the prediction of the time necessary to achieve a level of viremia less than 50 copies/mL; importantly, this time interval recently was shown to be another prognostic variable related to viral suppression (20).

These findings naturally raise questions about the possibility of aggressive intervention aimed at altering the variables associated with virologic success during initiation of antiretroviral therapy. One potentially beneficial strategy would apply an extremely aggressive antiretroviral drug regimen early in treatment, in an attempt to maximize the rate of decay of viremia. A standard regimen could be substituted once viremia reached undetectable levels. Another intervention to consider could apply to individuals experiencing a suboptimal rate of decay of viremia after initiation of therapy. Drug-resistance testing could be useful in this setting to rule out the possibility that antiretroviral therapy had selected for a drug-resistant virus. If there were no signs of emerging drug resistance, another antiretroviral drug might be added to the regimen in an effort to accelerate the decline in plasma viremia. These approaches should be tested in an effort to maximize the benefits of antiretroviral therapy, but the temptation to treat numbers rather than individuals must be avoided, and long-term clinical correlative data are imperative.

Acknowledgments

The authors are Executive Secretary and Co-Chair, respectively, of the Department of Health and Human Services/Henry J. Kaiser Family Foundation Panel on Clinical Practices for the Treatment of HIV Infection in Adults and Adolescents. The opinions expressed in this article are solely those of the authors and are not official policy positions of the United States Government or the Panel referred to above.

References
  1. Palella (Jr), FJ, et al. Declining morbidity and mortality among patients with advanced human immunodeficiency virus infection. N Engl J Med 1998. 338:853-860.
    View this article via: PubMed CrossRef Google Scholar
  2. Mocroft, A, et al. Changing patterns of mortality across Europe in patients infected with HIV-1. EuroSIDA Study Group. Lancet 1998. 352:1725-1730.
    View this article via: PubMed CrossRef Google Scholar
  3. Natarajan, V, et al. HIV-1 replication in patients with undetectable plasma virus receiving HAART. Highly active antiretroviral therapy. Lancet 1999. 353:119-120.
    View this article via: PubMed Google Scholar
  4. Zhang, L, et al. Quantifying residual HIV-1 replication in patients receiving combination antiretroviral therapy. N Engl J Med 1999. 340:1605-1613.
    View this article via: PubMed CrossRef Google Scholar
  5. Furtado, MR, et al. Persistence of HIV-1 transcription in peripheral-blood mononuclear cells in patients receiving potent antiretroviral therapy. N Engl J Med 1999. 340:1614-1622.
    View this article via: PubMed CrossRef Google Scholar
  6. Dornadula, G, et al. Residual HIV-1 RNA in blood plasma of patients taking suppressive highly active antiretroviral therapy. JAMA 1999. 282:1627-1632.
    View this article via: PubMed CrossRef Google Scholar
  7. Chun, TW, Fauci, AS. Latent reservoirs of HIV: obstacles to the eradication of virus. Proc Natl Acad Sci USA 1999. 96:10958-10961.
    View this article via: PubMed CrossRef Google Scholar
  8. Department of HealthHuman Services/Henry J. Kaiser Family Foundation Panel on Clinical Practices for Treatment of HIV Infection. Guidelines for the use of antiretroviral agents in HIV-infected adults and adolescents. Ann Intern Med 1998. 128:1079-1100. Current guidelines available at www.hivatis. org.
    View this article via: PubMed Google Scholar
  9. Carpenter, CC, et al. Antiretroviral therapy in adults: updated recommendations of the International AIDS Society-USA Panel. JAMA 2000. 283:381-390.
    View this article via: PubMed CrossRef Google Scholar
  10. Rizzardi, GP, et al. Predicting the duration of antiviral treatment needed to suppress plasma HIV-1 RNA. J Clin Invest 2000. 105:777-782.
    View this article via: JCI PubMed CrossRef Google Scholar
  11. Haase, AT, et al. Quantitative image analysis of HIV-1 infection in lymphoid tissue. Science 1996. 274:985-989.
    View this article via: PubMed CrossRef Google Scholar
  12. Pantaleo, G, et al. HIV infection is active and progressive in lymphoid tissue during the clinically latent stage of disease. Nature 1993. 362:355-358.
    View this article via: PubMed CrossRef Google Scholar
  13. Embretson, J, et al. Massive covert infection of helper T lymphocytes and macrophages by HIV during the incubation period of AIDS. Nature 1993. 362:359-362.
    View this article via: PubMed CrossRef Google Scholar
  14. Wei, X, et al. Viral dynamics in human immunodeficiency virus type 1 infection. Nature 1995. 373:117-122.
    View this article via: PubMed CrossRef Google Scholar
  15. Ho, DD, et al. Rapid turnover of plasma virions and CD4 lymphocytes in HIV-1 infection. Nature 1995. 373:123-126.
    View this article via: PubMed CrossRef Google Scholar
  16. Perelson, AS, et al. Decay characteristics of HIV-1 infected compartments during combination therapy. Nature 1997. 387:188-191.
    View this article via: PubMed CrossRef Google Scholar
  17. Staszewski, S, et al. Virological response to protease inhibitor therapy in an HIV clinic cohort. AIDS 1999. 13:367-373.
    View this article via: PubMed CrossRef Google Scholar
  18. Deeks, SG, et al. HIV RNA and CD4 cell count response to protease inhibitor therapy in an urban AIDS clinic: response to both initial and salvage therapy. AIDS 1999. 13:F35-F43.
    View this article via: PubMed CrossRef Google Scholar
  19. Lucas, GM, Chaisson, RE, Moore, RD. Highly active antiretroviral therapy in a large urban clinic: risk factors for virologic failure and adverse drug reactions. Ann Intern Med 1999. 131:81-87.
    View this article via: PubMed Google Scholar
  20. Powderly, WG, et al. Predictors of optimal virological response to potent antiretroviral therapy. AIDS 1999. 13:1873-1880.
    View this article via: PubMed CrossRef Google Scholar
  21. O’Brien, WA, et al. Changes in plasma HIV-1 RNA and CD4+ lymphocyte counts and the risk of progression to AIDS. N Engl J Med 1996. 334:426-431.
    View this article via: PubMed CrossRef Google Scholar
  22. Kempf, DJ, et al. The duration of viral suppression during protease inhibitor therapy for HIV-1 infection is predicted by plasma HIV-1 RNA at the nadir. AIDS 1998. 12:F9-F14.
    View this article via: PubMed CrossRef Google Scholar
  23. Raboud, JM, et al. Suppression of plasma viral load below 20 copies/ml is required to achieve a long-term response to therapy. AIDS 1998. 12:1619-1624.
    View this article via: PubMed CrossRef Google Scholar
  24. Pilcher, CD, et al. Detectable HIV-1 RNA at levels below quantifiable limits by amplicor HIV-1 monitor is associated with virologic relapse on antiretroviral therapy. AIDS 1999. 13:1337-1342.
    View this article via: PubMed CrossRef Google Scholar
  25. Delta Coordinating CommitteeDelta Virology Committee. HIV-1 RNA response to antiretroviral treatment in 1280 participants in the Delta Trial: an extended virology study. AIDS 1999. 13:57-65.
    View this article via: PubMed CrossRef Google Scholar
Version history
  • Version 1 (March 15, 2000): No description

Article tools

  • View PDF
  • Download citation information
  • Send a comment
  • Terms of use
  • Standard abbreviations
  • Need help? Email the journal

Metrics

  • Article usage
  • Citations to this article

Go to

  • Top
  • Acknowledgments
  • References
  • Version history
Advertisement
Advertisement

Copyright © 2025 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

Sign up for email alerts