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Quantification of latent tissue reservoirs and total body viral load in HIV-1 infection

Author

Listed:
  • Tae-Wook Chun

    (Johns Hopkins University School of Medicine)

  • Lucy Carruth

    (Johns Hopkins University School of Medicine)

  • Diana Finzi

    (Johns Hopkins University School of Medicine)

  • Xuefei Shen

    (Johns Hopkins University School of Medicine)

  • Joseph A. DiGiuseppe

    (Johns Hopkins University School of Medicine)

  • Harry Taylor

    (Johns Hopkins University School of Medicine)

  • Monika Hermankova

    (Johns Hopkins University School of Medicine)

  • Karen Chadwick

    (Johns Hopkins University School of Hygiene and Public Health)

  • Joseph Margolick

    (Johns Hopkins University School of Hygiene and Public Health)

  • Thomas C. Quinn

    (Johns Hopkins University School of Medicine
    National Institutes of Health)

  • Yen-Hong Kuo

    (Johns Hopkins University School of Hygiene and Public Health)

  • Ronald Brookmeyer

    (Johns Hopkins University School of Hygiene and Public Health)

  • Martha A. Zeiger

    (Johns Hopkins University School of Medicine)

  • Patricia Barditch-Crovo

    (Johns Hopkins University School of Medicine)

  • Robert F. Siliciano

    (Johns Hopkins University School of Medicine)

Abstract

The capacity of HIV-1 to establish latent infection of CD4+ T cells may allow viral persistence despite immune responses and antiretroviral therapy. Measurements of infectious virus1,2 and viral RNA3,4 in plasma and of infectious virus1, viral DNA5–10 and viral messenger RNA species11–14 in infected cells all suggest that HIV-1 replication continues throughout the course of infection. Uncertainty remains over what fraction of CD4+ T cells are infected and whether there are latent reservoirs for the virus. We show here that during the asymptomatic phase of infection there is an extremely low total body load of latently infected resting CD4+ T cells with replication-competent integrated pro virus (

Suggested Citation

  • Tae-Wook Chun & Lucy Carruth & Diana Finzi & Xuefei Shen & Joseph A. DiGiuseppe & Harry Taylor & Monika Hermankova & Karen Chadwick & Joseph Margolick & Thomas C. Quinn & Yen-Hong Kuo & Ronald Brookme, 1997. "Quantification of latent tissue reservoirs and total body viral load in HIV-1 infection," Nature, Nature, vol. 387(6629), pages 183-188, May.
    • Handle: RePEc:nat:nature:v:387:y:1997:i:6629:d:10.1038_387183a0
    DOI: 10.1038/387183a0
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    Cited by:

    1. Caroline Dufour & Corentin Richard & Marion Pardons & Marta Massanella & Antoine Ackaoui & Ben Murrell & Bertrand Routy & Réjean Thomas & Jean-Pierre Routy & Rémi Fromentin & Nicolas Chomont, 2023. "Phenotypic characterization of single CD4+ T cells harboring genetically intact and inducible HIV genomes," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    2. Daniel I S Rosenbloom & Peter Bacchetti & Mars Stone & Xutao Deng & Ronald J Bosch & Douglas D Richman & Janet D Siliciano & John W Mellors & Steven G Deeks & Roger G Ptak & Rebecca Hoh & Sheila M Kea, 2019. "Assessing intra-lab precision and inter-lab repeatability of outgrowth assays of HIV-1 latent reservoir size," PLOS Computational Biology, Public Library of Science, vol. 15(4), pages 1-24, April.
    3. González, Ramón E.R. & Coutinho, Sérgio & Zorzenon dos Santos, Rita Maria & de Figueirêdo, Pedro Hugo, 2013. "Dynamics of the HIV infection under antiretroviral therapy: A cellular automata approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(19), pages 4701-4716.
    4. Daniel B. Reeves & Christian Gaebler & Thiago Y. Oliveira & Michael J. Peluso & Joshua T. Schiffer & Lillian B. Cohn & Steven G. Deeks & Michel C. Nussenzweig, 2023. "Impact of misclassified defective proviruses on HIV reservoir measurements," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    5. Iraj Hosseini & Feilim Mac Gabhann, 2012. "Multi-Scale Modeling of HIV Infection in vitro and APOBEC3G-Based Anti-Retroviral Therapy," PLOS Computational Biology, Public Library of Science, vol. 8(2), pages 1-17, February.
    6. Rebecca M. D'Amato & Richard T. D'Aquila & Lawrence M. Wein, 2000. "Management of Antiretroviral Therapy for HIV Infection: Analyzing When to Change Therapy," Management Science, INFORMS, vol. 46(9), pages 1200-1213, September.
    7. Naik, Parvaiz Ahmad & Zu, Jian & Ghoreishi, Mohammad, 2020. "Estimating the approximate analytical solution of HIV viral dynamic model by using homotopy analysis method," Chaos, Solitons & Fractals, Elsevier, vol. 131(C).
    8. Jessica M Conway & Daniel Coombs, 2011. "A Stochastic Model of Latently Infected Cell Reactivation and Viral Blip Generation in Treated HIV Patients," PLOS Computational Biology, Public Library of Science, vol. 7(4), pages 1-15, April.

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