Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Protocol
  • Published:

A universal real-time PCR assay for the quantification of group-M HIV-1 proviral load

Abstract

Quantification of human immunodeficiency virus type-1 (HIV-1) proviral DNA is increasingly used to measure the HIV-1 cellular reservoirs, a helpful marker to evaluate the efficacy of antiretroviral therapeutic regimens in HIV-1–infected individuals. Furthermore, the proviral DNA load represents a specific marker for the early diagnosis of perinatal HIV-1 infection and might be predictive of HIV-1 disease progression independently of plasma HIV-1 RNA levels and CD4+ T-cell counts. The high degree of genetic variability of HIV-1 poses a serious challenge for the design of a universal quantitative assay capable of detecting all the genetic subtypes within the main (M) HIV-1 group with similar efficiency. Here, we describe a highly sensitive real-time PCR protocol that allows for the correct quantification of virtually all group-M HIV-1 strains with a higher degree of accuracy compared with other methods. The protocol involves three stages, namely DNA extraction/lysis, cellular DNA quantification and HIV-1 proviral load assessment. Owing to the robustness of the PCR design, this assay can be performed on crude cellular extracts, and therefore it may be suitable for the routine analysis of clinical samples even in developing countries. An accurate quantification of the HIV-1 proviral load can be achieved within 1 d from blood withdrawal.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1
Figure 2
Figure 3: Amplification plots obtained with the HIV-1 plasmid control (shown in red), uninfected human genomic DNA (hDNA; green) and a no-template control (NTC; blue).
Figure 4: Standard curves for the CCR5 and the HIV-1 real-time PCR assays.
Figure 5: Effects of HIV-1 genetic variability on HIV-1 load quantification.

Similar content being viewed by others

References

  1. Koralnik, I.J. et al. JC virus DNA load in patients with and without progressive multifocal leukoencephalopathy. Neurology 52, 253–260 (1999).

    Article  CAS  Google Scholar 

  2. Blackard, J.T. et al. Detection of hepatitis C virus (HCV) in serum and peripheral-blood mononuclear cells from HCV-monoinfected and HIV/HCV-coinfected persons. J. Infect. Dis. 192, 258–265 (2005).

    Article  Google Scholar 

  3. Fontaine, J. et al. High levels of HPV-16 DNA are associated with high-grade cervical lesions in women at risk or infected with HIV. AIDS 19, 785–794 (2005).

    Article  Google Scholar 

  4. Shiramizu, B. et al. Circulating proviral HIV DNA and HIV-associated dementia. AIDS 19, 45–52 (2005).

    Article  Google Scholar 

  5. Perrin, L. et al. Multicenter performance evaluation of a new TaqMan PCR assay for monitoring human immunodeficiency virus RNA load. J. Clin. Microbiol. 44, 4371–4375 (2006).

    Article  CAS  Google Scholar 

  6. Highbarger, H.C. et al. Comparison of the Abbott 7000 and Bayer 340 systems for measurement of hepatitis C virus load. J. Clin. Microbiol. 45, 2808–2812 (2007).

    Article  CAS  Google Scholar 

  7. Gueudin, M. et al. Differences in proviral DNA load between HIV-1 and HIV-2-infected patients. AIDS 22, 211–215 (2008).

    Article  Google Scholar 

  8. Hatzakis, A.E. et al. Cellular HIV-1 DNA load predicts HIV-RNA rebound and the outcome of highly active antiretroviral therapy. AIDS 18, 2261–2267 (2004).

    Article  Google Scholar 

  9. Halfon, P. et al. Real-time PCR assays for hepatitis C virus (HCV) RNA quantitation are adequate for clinical management of patients with chronic HCV infection. J. Clin. Microbiol. 44, 2507–2511 (2006).

    Article  CAS  Google Scholar 

  10. Sarrazin, C. et al. Comparison of conventional PCR with real-time PCR and branched DNA-based assays for hepatitis C virus RNA quantification and clinical significance for genotypes 1 to 5. J. Clin. Microbiol. 44, 729–737 (2006).

    Article  CAS  Google Scholar 

  11. Jungkind, D. et al. Automation of laboratory testing for infectious diseases using the polymerase chain reaction- our past, our present, our future. J. Clin. Virol. 20, 1–6 (2001).

    Article  CAS  Google Scholar 

  12. Qu, L., Triulzi, D.J., Rowe, D.T., Griffin, D.L. & Donnenberg, A.D. Stability of lymphocytes and Epstein–Barr virus during red blood cell storage. Vox Sang 92, 125–129 (2007).

    Article  CAS  Google Scholar 

  13. Henriques, I. et al. Prevalence of Parvovirus B19 and Hepatitis A virus in Portuguese blood donors. Transfus. Apher. Sci. 33, 305–309 (2005).

    Article  Google Scholar 

  14. Schmidt, M., Roth, W.K., Meyer, H., Seifried, E. & Hourfar, M.K. Nucleic acid test screening of blood donors for orthopoxviruses can potentially prevent dispersion of viral agents in case of bioterrorism. Transfusion 45, 399–403 (2005).

    Article  CAS  Google Scholar 

  15. Pennington, J. et al. Persistence of HTLV-I in blood components after leukocyte depletion. Blood 100, 677–681 (2002).

    Article  CAS  Google Scholar 

  16. Wongsena, W. et al. Detection of HIV-1 window period infection in blood donors using borderline anti-HIV results, HIV-1 proviral DNA PCR, and HIV-1 antigen test. J. Med. Assoc. Thai. 80 (Suppl. 1): S112–S115 (1997).

    PubMed  Google Scholar 

  17. Neal, T.F. et al. CD34+ progenitor cells from asymptomatic patients are not a major reservoir for human immunodeficiency virus-1. Blood 86, 1749–1756 (1995).

    CAS  PubMed  Google Scholar 

  18. Douek, D.C. et al. HIV preferentially infects HIV-specific CD4+ T cells. Nature 417, 95–98 (2002).

    Article  CAS  Google Scholar 

  19. Chun, T.W. et al. Gene expression and viral production in latently infected, resting CD4+ T cells in viremic versus aviremic HIV-infected individuals. Proc. Natl. Acad. Sci. USA 100, 1908–1913 (2003).

    Article  CAS  Google Scholar 

  20. Biswas, P. et al. Expression of CD4 on human peripheral blood neutrophils. Blood 101, 4452–4456 (2003).

    Article  CAS  Google Scholar 

  21. Morsica, G. et al. Natural killer-cell cytotoxicity in HIV-positive and HIV-negative patients with and without severe course of hepatitis B virus infection. Scand. J. Immunol. 62, 318–324 (2005).

    Article  CAS  Google Scholar 

  22. Soulié, C. et al. HIV-1 X4/R5 co-receptor in viral reservoir during suppressive HAART. AIDS 21, 2243–2245 (2007).

    Article  Google Scholar 

  23. Finzi, D. et al. Identification of a reservoir for HIV-1 in patients on highly active antiretroviral therapy. Science 278, 1295–1300 (1997).

    Article  CAS  Google Scholar 

  24. Zhang, H. et al. Human immunodeficiency virus type 1 in the semen of men receiving highly active antiretroviral therapy. N. Engl. J. Med. 339, 1803–1809 (1998).

    Article  CAS  Google Scholar 

  25. Chun, T.W. et al. Early establishment of a pool of latently infected, resting CD4(+) T cells during primary HIV-1 infection. Proc. Natl. Acad. Sci. USA 95, 8869–8873 (1998).

    Article  CAS  Google Scholar 

  26. Pires, A. et al. Initiation of antiretroviral therapy during recent HIV-1 infection results in lower residual viral reservoirs. J. Acquir. Immune Defic. Syndr. 36, 783–790 (2004).

    Article  CAS  Google Scholar 

  27. Hasson, H. et al. Favorable outcome of ex-vivo purging of monocytes after the reintroduction of treatment after interruption in patients infected with multidrug resistant HIV-1. J. Med. Virol. 79, 1640–1649 (2007).

    Article  Google Scholar 

  28. Hughes, G.J. et al. HIV-1-infected CD8+CD4+ T cells decay in vivo at a similar rate to infected CD4 T cells during HAART. AIDS 22, 57–65 (2008).

    Article  CAS  Google Scholar 

  29. Goujard, C. et al. CD4 cell count and HIV DNA level are independent predictors of disease progression after primary HIV type 1 infection in untreated patients. Clin. Infect. Dis. 42, 709–715 (2006).

    Article  CAS  Google Scholar 

  30. Kostrikis, L.G. et al. Quantitation of human immunodeficiency virus type 1 DNA forms with the second template switch in peripheral blood cells predicts disease progression independently of plasma RNA load. J. Virol. 76, 10099–10108 (2002).

    Article  CAS  Google Scholar 

  31. Désiré, N. et al. Quantification of human immunodeficiency virus type 1 proviral load by a TaqMan real-time PCR assay. J. Clin. Microbiol. 39, 1303–1310 (2001).

    Article  Google Scholar 

  32. Higuchi, R. et al. Kinetic PCR analysis: real-time monitoring of DNA amplification reactions. Biotechnol. 11, 1026–1030 (1993).

    CAS  Google Scholar 

  33. Salvatori, F. et al. Semi-automated real time quantitative PCR of HIV-1 strains of diverse geographical origin. Fourth European Conference on Experimental AIDS Research (ECEAR), Tampere, Finland, June 18–21, 1999. Abstract Book, p. 112.

  34. Bøgh, M. et al. Subtype-specific problems with qualitative Amplicor HIV-1 DNA PCR test. J. Clin. Virol. 20, 149–153 (2001).

    Article  Google Scholar 

  35. Cunningham, P. et al. False negative HIV-1 proviral DNA polymerase chain reaction in a patient with primary infection acquired in Thailand. J. Clin. Virol. 26, 163–169 (2003).

    Article  CAS  Google Scholar 

  36. Higuchi, R. et al. Simultaneous amplification and detection of specific DNA sequences. Nat. Biotechnol. 10, 413–417 (1992).

    Article  CAS  Google Scholar 

  37. Lusso, P., Malnati, M. & Scarlatti, G. Method for the quantitative detection of nucleic acids EU Patent 1,131,466 (filed 17 Nov. 1999; issued 11 July 2007).

Download references

Acknowledgements

This work was supported by the WHO-UNAIDS Network for HIV Isolation and Characterization, which provided primary HIV-1 isolates through the WHO Repository at the Centre for AIDS reagents (CFAR), National Institute for Biological Standard and Control (NIBSC), South Mimms, UK, and by grants from the VI National AIDS Project, Istituto Superiore di Sanitá, Rome, Italy.

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Mauro S Malnati or Paolo Lusso.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Malnati, M., Scarlatti, G., Gatto, F. et al. A universal real-time PCR assay for the quantification of group-M HIV-1 proviral load. Nat Protoc 3, 1240–1248 (2008). https://doi.org/10.1038/nprot.2008.108

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/nprot.2008.108

This article is cited by

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing