Skip to content
Licensed Unlicensed Requires Authentication Published by De Gruyter April 28, 2020

Quantification of the HIV-1 total reservoir in the peripheral blood of naïve and treated patients by a standardised method derived from a commercial HIV-1 RNA quantification assay

  • Laura Di Sante , Andrea Costantini , Sara Caucci , Alice Corsi , Lucia Brescini , Stefano Menzo and Patrizia Bagnarelli EMAIL logo

Abstract

Objectives

HIV-1 DNA can persist in host cells, establishing a latent reservoir. This study was aimed to develop an extraction and amplification protocol for HIV-1 DNA quantification by modifying a quantitative commercial assay.

Methods

HIV-1 DNA was extracted on an Abbott m2000sp instrument, using an open-mode protocol. Two calibrators, spiked with a plasmid containing HIV-1 genome (103 and 105 cps/mL), were extracted and amplified to generate a master calibration curve. Precision, accuracy, linear dynamic range, limit of quantification (LOQ) and limit of detection (LOD) were determined. A cohort of patients, naïve or chronically infected, was analysed.

Results

Calibration curve was obtained from 42 replicates of standards (stds); precision was calculated (coefficients of variability [CVs] below 10%); accuracy was higher than 90%. Linearity covered the entire range tested (10–104 copies per reaction), and LOD (95%) was 12 copies per reaction. HIV-1 DNA was significantly higher (p < 0.0001) in drug-naïve (62) than in chronically treated patients (50), and proviral loads correlated with lymphocytes (p = 0.0002) and CD4+ (p < 0.0001) counts only in naïve patients. Both groups displayed a significant inverse correlation between CD4+ nadir and proviral loads. A significant correlation (p < 0.0001) between viraemia and HIV-1 reservoir was disclosed. No significant difference was obtained from the comparison between proviral loads on whole blood and peripheral blood mononuclear cells (PBMCs) from the same patient.

Conclusions

The novelty of our approach relies on the selection of appropriate reference standard extracted and amplified as clinical specimens avoiding any underestimation of the reservoir. Results confirm HIV-1 DNA as a marker of disease progression, supporting the relationship between the width of latent reservoir and the immunological status of the patient.


Corresponding author: Prof. Patrizia Bagnarelli, Department of Biomedical Sciences and Public Health, Polytechnic University of Marche, Via Tronto 10/A, 60131 Ancona, Italy,

Acknowledgements

Authors are grateful to CFAR-NIBSC for providing the “PCR Reference Kit/95 series (ARP 956)”; authors are grateful to Dott. Renato Pulvirenti and Dott. Alessandro Bellini (Abbott Molecular) for providing extraction and amplification kit supplies free of charge; authors are grateful to Dott. Stefano Belladonna (Abbott Molecular) for the technical support.

  1. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  2. Research funding: This work has been supported by grant provided by the Strategic Research Program 2016 of the Polytechnic University of Marche.

  3. Employment or leadership: None declared.

  4. Honorarium: None declared.

  5. Competing interests: Authors state no conflict of interest.

  6. Ethical approval: The local Institutional Review Board deemed the study exempt from review.

References

1. Wainberg MA, Zaharatos GJ, Brenner BG. Development of antiretroviral drug resistance. N Engl J Med 2011;365:637–46.10.1056/NEJMra1004180Search in Google Scholar PubMed

2. Pankrac J, Klein K, Mann JF. Eradication of HIV-1 latent reservoirs through therapeutic vaccination. AIDS Res Ther 2017;14:45.10.1186/s12981-017-0177-4Search in Google Scholar PubMed PubMed Central

3. Hosmane NN, Kwon KJ, Bruner KM, Capoferri AA, Beg S, Rosenbloom DI, et al. Proliferation of latently infected CD4+ T cells carrying replication-competent HIV-1: potential role in latent reservoir dynamics. J Exp Med 2017;214:959–72.10.1084/jem.20170193Search in Google Scholar PubMed PubMed Central

4. Soriano-Sarabia N, Bateson RE, Dahl NP, Crooks AM, Kuruc JD, Margolis DM, et al. Quantitation of replication-competent HIV-1 in populations of resting CD4+ T cells. J Virol 2014;88:14070–7.10.1128/JVI.01900-14Search in Google Scholar PubMed PubMed Central

5. Chun TW, Engel D, Berrey MM, Shea T, Corey L, Fauci AS. Early establishment of a pool of latently infected, resting CD4(+) T cells during primary HIV-1 infection. Proc Natl Acad Sci USA 1998;95:8869–73.10.1073/pnas.95.15.8869Search in Google Scholar PubMed PubMed Central

6. Nicastri E, Palmisano L, Sarmati L, D’Ettorre G, Parisi S, Andreotti M, et al. HIV-1 residual viremia and proviral DNA in patients with suppressed plasma viral load (<400 HIV-RNA cp/mL) during different antiretroviral regimens. Curr HIV Res 2008;6:261–6.10.2174/157016208784325010Search in Google Scholar PubMed

7. Li JZ, Etemad B, Ahmed H, Aga E, Bosch RJ, Mellors JW, et al. The size of the expressed HIV reservoir predicts timing of viral rebound after treatment interruption. AIDS 2016;30:343–53.10.1097/QAD.0000000000000953Search in Google Scholar PubMed PubMed Central

8. Wen Y, Bar KJ, Li JZ. Lessons learned from HIV antiretroviral treatment interruption trials. Curr Opin HIV AIDS 2018;13:416–21.10.1097/COH.0000000000000484Search in Google Scholar PubMed

9. Sadowski I, Hashemi FB. Strategies to eradicate HIV from infected patients: elimination of latent provirus reservoirs. Cell Mol Life Sci 2019;76:3583–600.10.1007/s00018-019-03156-8Search in Google Scholar PubMed PubMed Central

10. Macallan DC, Borghans JA, Asquith B. Human T cell memory: a dynamic view. Vaccines (Basel) 2017;5:E5.10.3390/vaccines5010005Search in Google Scholar PubMed PubMed Central

11. Bruner KM, Murray AJ, Pollack RA, Soliman MG, Laskey SB, Capoferri AA, et al. Defective proviruses rapidly accumulate during acute HIV-1 infection. Nat Med 2016;22:1043–9.10.1038/nm.4156Search in Google Scholar PubMed PubMed Central

12. Bruner KM, Wang Z, Simonetti FR, Bender AM, Kwon KJ, Sengupta S, et al. A quantitative approach for measuring the reservoir of latent HIV-1 proviruses. Nature 2019;566:120–5.10.1038/s41586-019-0898-8Search in Google Scholar PubMed PubMed Central

13. Ho YC, Shan L, Hosmane NN, Wang J, Laskey SB, Rosenbloom DI, et al. Replication-competent noninduced proviruses in the latent reservoir increase barrier to HIV-1 cure. Cell 2013;155:540–51.10.1016/j.cell.2013.09.020Search in Google Scholar PubMed PubMed Central

14. Williams JP, Hurst J, Stöhr W, Robinson N, Brown H, Fisher M, et al. HIV-1 DNA predicts disease progression and post-treatment virological control. Elife 2014;3:e03821.10.7554/eLife.03821Search in Google Scholar PubMed PubMed Central

15. Eriksson S, Graf EH, Dahl V, Strain MC, Yukl SA, Lysenko ES, et al. Comparative analysis of measures of viral reservoirs in HIV-1 eradication studies. PLoS Pathog 2013;9:e1003174.10.1371/journal.ppat.1003174Search in Google Scholar PubMed PubMed Central

16. Archin NM, Sung JM, Garrido C, Soriano-Sarabia N, Margolis DM. Eradicating HIV-1 infection: seeking to clear a persistent pathogen. Nat Rev Microbiol 2014;12:750–64.10.1038/nrmicro3352Search in Google Scholar PubMed PubMed Central

17. Darcis G, Van Driessche B, Van Lint C. HIV latency: should we shock or lock? Trends Immunol 2017;38:217–28.10.1016/j.it.2016.12.003Search in Google Scholar PubMed

18. Ceccherini-Silberstein F, Cozzi Lepri A, Alteri C, Merlini E, Surdo M, Marchetti G, et al. Pre-ART HIV-1 DNA in CD4+ T cells correlates with baseline viro-immunological status and outcome in patients under first-line ART. J Antimicrob Chemother 2018;73:3460–70.10.1093/jac/dky350Search in Google Scholar PubMed

19. Parisi SG, Andreis S, Mengoli C, Scaggiante R, Ferretto R, Manfrin V, et al. Baseline cellular HIV DNA load predicts HIV DNA decline and residual HIV plasma levels during effective antiretroviral therapy. J Clin Microbiol 2012;50:258–63.10.1128/JCM.06022-11Search in Google Scholar PubMed PubMed Central

20. Bagnarelli P, Menzo S, Valenza A, Manzin A, Giacca M, Ancarani F, et al. Molecular profile of human immunodeficiency virus type 1 infection in symptomless patients and in patients with AIDS. J Virol 1992;66:7328–35.10.1128/jvi.66.12.7328-7335.1992Search in Google Scholar PubMed PubMed Central

21. Viard JP, Burgard M, Hubert JB, Aaron L, Rabian C, Pertuiset N, et al. Impact of 5 years of maximally successful highly active antiretroviral therapy on CD4 cell count and HIV-1 DNA level. AIDS 2004;18:45–9.10.1097/00002030-200401020-00005Search in Google Scholar

22. Casabianca A, Gori C, Orlandi C, Forbici F, Perno CF, Magnani M. Fast and sensitive quantitative detection of HIV DNA in whole blood leucocytes by SYBR green I real-time PCR assay. Mol Cell Probes 2007;21:368–78.10.1016/j.mcp.2007.05.005Search in Google Scholar

23. De Rossi A, Zanchetta M, Vitone F, Antonelli G, Bagnarelli P, Buonaguro L, et al. Quantitative HIV-1 proviral DNA detection: a multicentre analysis. New Microbiol 2010;33:293–302.Search in Google Scholar

24. Casabianca A, Orlandi C, Canovari B, Scotti M, Acetoso M, Valentini M, et al. A real-time PCR platform for the simultaneous quantification of total and extrachromosomal HIV DNA forms in blood of HIV-1 infected patients. PLoS One 2014;9:e111919.10.1371/journal.pone.0111919Search in Google Scholar

25. Hong F, Aga E, Cillo AR, Yates AL, Besson G, Fyne E, et al. Novel assays for measurement of total cell-associated HIV-1 DNA and RNA. J Clin Microbiol 2016;54:902–11.10.1128/JCM.02904-15Search in Google Scholar

26. Vicenti I, Meini G, Saladini F, Giannini A, Boccuto A, Schiaroli E, et al. Development of an internally controlled quantitative PCR to measure total cell-associated HIV-1 DNA in blood. Clin Chem Lab Med 2018;56:e75–7.10.1515/cclm-2017-0587Search in Google Scholar

27. Rutsaert S, De Spiegelaere W, Van Hecke C, De Scheerder MA, Kiselinova M, Vervisch K, et al. In-depth validation of total HIV-1 DNA assays for quantification of various HIV-1 subtypes. Sci Rep 2018;8:17274.10.1038/s41598-018-35403-6Search in Google Scholar

28. Rouzioux C, Avettand-Fenoël V. Total HIV DNA: a global marker of HIV persistence. Retrovirology 2018;15:30.10.1186/s12977-018-0412-7Search in Google Scholar

29. Bagnarelli P, Fiorelli L, Vecchi M, Monachetti A, Menzo S, Clementi M. Analysis of the functional relationship between V3 loop and gp120 context with regard to human immunodeficiency virus coreceptor usage using naturally selected sequences and different viral backbones. Virology 2003;307:328–40.10.1016/S0042-6822(02)00077-6Search in Google Scholar

30. CLSI. Document EP17-A2. Protocols for determination of limit of detection and limits of quantitation. Approved guideline. Wayne: CLSI Clinical and Laboratory Standards Institute, 2012.Search in Google Scholar

31. Darcis G, Moutschen M. The effect of treatment simplification on HIV reservoirs. Lancet HIV 2017;4:e328–9.10.1016/S2352-3018(17)30135-2Search in Google Scholar

32. Tang N, Huang S, Salituro J, Mak WB, Cloherty G, Johanson J, et al. A RealTime HIV-1 viral load assay for automated quantitation of HIV-1 RNA in genetically diverse group M subtypes A-H, group O and group N samples. J Virol Methods 2007;146:236–45.10.1016/j.jviromet.2007.07.003Search in Google Scholar PubMed

33. Yamaguchi J, McArthur C, Vallari A, Sthreshley L, Cloherty GA, Berg MG, et al. Complete genome sequence of CG-0018a-01 establishes HIV-1 subtype L. J Acquir Immune Defic Syndr 2019;83:319–22.10.1097/QAI.0000000000002246Search in Google Scholar PubMed PubMed Central

34. Busby E, Whale AS, Ferns RB, Grant PR, Morley G, Campbell J, et al. Instability of 8E5 calibration standard revealed by digital PCR risks inaccurate quantification of HIV DNA in clinical samples by qPCR. Sci Rep 2017;7:1209.10.1038/s41598-017-01221-5Search in Google Scholar PubMed PubMed Central

35. Re MC, Vitone F, Biagetti C, Schiavone P, Alessandrini F, Bon I, et al. HIV-1 DNA proviral load in treated and untreated HIV-1 seropositive patients. Clin Microbiol Infect 2010;16:640–6.10.1111/j.1469-0691.2009.02826.xSearch in Google Scholar PubMed

36. Poizot-Martin I, Faucher O, Obry-Roguet V, Nicolino-Brunet C, Ronot-Bregigeon S, Dignat-George F, et al. Lack of correlation between the size of HIV proviral DNA reservoir and the level of immune activation in HIV-infected patients with a sustained undetectable HIV viral load for 10 years. J Clin Virol 2013;57:351–5.10.1016/j.jcv.2013.04.007Search in Google Scholar PubMed

37. Gibellini D, Borderi M, De Crignis E, Cicola R, Cimatti L, Vitone F, et al. HIV-1 DNA load analysis in peripheral blood lymphocytes and monocytes from naïve and HAART-treated individuals. J Infect 2008;56:219–25.10.1016/j.jinf.2008.01.001Search in Google Scholar PubMed

38. Depincé-Berger AE, Vergnon-Miszczycha D, Girard A, Frésard A, Botelho-Nevers E, Lambert C, et al. Major influence of CD4 count at the initiation of cART on viral and immunological reservoir constitution in HIV-1 infected patients. Retrovirology 2016;13:44.10.1186/s12977-016-0278-5Search in Google Scholar PubMed PubMed Central

39. Boulassel MR, Chomont N, Pai NP, Gilmore N, Sékaly RP, Routy JP. CD4 T cell nadir independently predicts the magnitude of the HIV reservoir after prolonged suppressive antiretroviral therapy. J Clin Virol 2012;53:29–32.10.1016/j.jcv.2011.09.018Search in Google Scholar PubMed

40. Mortier V, Demecheleer E, Staelens D, Schauvliege M, Dauwe K, Dinakis S, et al. Quantification of total HIV-1 DNA in buffy coat cells, feasibility and potential added value for clinical follow-up of HIV-1 infected patients on ART. J Clin Virol 2018;106:58–63.10.1016/j.jcv.2018.07.008Search in Google Scholar PubMed

41. Avettand-Fènoël V, Hocqueloux L, Ghosn J, Cheret A, Frange P, Melard A, et al. Total HIV-1 DNA, a marker of viral reservoir dynamics with clinical implications. Clin Microbiol Rev 2016;29:859–80.10.1128/CMR.00015-16Search in Google Scholar PubMed PubMed Central

42. Imamichi H, Dewar RL, Adelsberger JW, Rehm CA, O’Doherty U, Paxinos EE, et al. Defective HIV-1 proviruses produce novel protein coding RNA species in HIV-infected patients on combination antiretroviral therapy. Proc Natl Acad Sci USA 2016;113:8783–8.10.1073/pnas.1609057113Search in Google Scholar PubMed PubMed Central


Supplementary Material

The online version of this article offers supplementary material (https://doi.org/10.1515/cclm-2020-0142).


Received: 2020-02-11
Accepted: 2020-04-05
Published Online: 2020-04-28
Published in Print: 2021-02-23

©2020 Walter de Gruyter GmbH, Berlin/Boston

Downloaded on 22.5.2024 from https://www.degruyter.com/document/doi/10.1515/cclm-2020-0142/html
Scroll to top button