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Quantitative Image Analysis of HIV-1 Infection in Lymphoid Tissue

Author

Listed:
  • Ashley T. Haase
  • Keith Henry
  • Mary Zupancic
  • Gerlad Sedgewick
  • Russell A. Faust
  • Holly Melroe
  • Winston Cavert
  • Kristin Gebhard
  • Katherine Staskus
  • Zhi-Qiang Zhang
  • Peter J. Dailey
  • Henry H. Balfour Jr.
  • Alejo Erice
  • Alan S. Perelson

Abstract

A quantitative technique was developed to determine HIV-1 viral burden in two important cellular compartments in lymphoid tissues (LT). Image analysis and in situ hybridization were combined to show that in the presymptomatic stages of infection there is a large pool of about 108 copies per gram of LT of viral RNA in virions on the surfaces of follicular dendritic cells, and a smaller pool of 103 to 105 (per gram) of infected cells with 20 to 200 copies of viral RNA. The concentration of viral RNA in these cells was found to be much less than in productively infected cells in culture, consistent with restriction of replication of HIV-1 in vivo by immune or other mechanisms. The agreement, however, between theoretical estimates of viral production in LT and clearance of virus from plasma suggest that sufficient virus could nonetheless be generated in LT to account for levels of virus detected in plasma, and that plasma assays may turn out to accurately mirror virus production in tissues. Tracking HIV-1 infection at the cellular level in tissue reservoirs provides opportunities to better understand the pathogenesis of infection and the impact of treatment. Science 274 (1996): 985-989.

Suggested Citation

  • Ashley T. Haase & Keith Henry & Mary Zupancic & Gerlad Sedgewick & Russell A. Faust & Holly Melroe & Winston Cavert & Kristin Gebhard & Katherine Staskus & Zhi-Qiang Zhang & Peter J. Dailey & Henry H., 1996. "Quantitative Image Analysis of HIV-1 Infection in Lymphoid Tissue," Working Papers 96-07-045, Santa Fe Institute.
    • Handle: RePEc:wop:safiwp:96-07-045
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    Cited by:

    1. 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.
    2. Christian L Althaus & Beda Joos & Alan S Perelson & Huldrych F Günthard, 2014. "Quantifying the Turnover of Transcriptional Subclasses of HIV-1-Infected Cells," PLOS Computational Biology, Public Library of Science, vol. 10(10), pages 1-11, October.
    3. Arshad, Sadia & Defterli, Ozlem & Baleanu, Dumitru, 2020. "A second order accurate approximation for fractional derivatives with singular and non-singular kernel applied to a HIV model," Applied Mathematics and Computation, Elsevier, vol. 374(C).
    4. Wein, Lawrence M. & D'Amato, Rebecca M. & Perelman, Alan S., 1947-, 1997. "Mathematical considerations of antiretroviral therapy aimed at HIV-1 eradication or maintenance of low viral loads," Working papers WP 3939-97., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    5. Max A. Stafford & Yunzhen Cao & David D. Ho & Lawrence Corey & Crystal L. Mackall & Ronald E. Gress & Alan S. Perelson, 1999. "Modeling Plasma Virus Concentration and CD4+ T Cell Kinetics during Primary HIV Infection," Working Papers 99-05-036, Santa Fe Institute.

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