Biphasic decay of cell-associated HIV-1 DNA in HIV-1-infected children on antiretroviral therapy
Bibliographic record
Abstract
Cell-associated HIV-1 DNA was quantified in 33 HIV-1-infected children followed for 96 weeks after the initiation of antiretroviral therapy. HIV-1 DNA decay was biphasic, being 10-fold more rapid during the first 4 weeks, and was inversely associated with the baseline plasma HIV-1-RNA level, but unrelated to HIV-1-RNA suppression. HIV-1 DNA decay per absolute CD4 cell number was lower than per 106 CD4 cells, suggesting an ongoing infection of newly produced CD4 cells, despite HIV-1 suppression in plasma. It is well established that despite the strong inhibition of viral replication in patients on antiretroviral therapy (ART), HIV-1 may persist in peripheral blood cells and lymphoid tissues. We assessed the relationship between changes in cell-associated HIV-1 DNA and plasma HIV-1 RNA in a subset of 33 ART-naive children initiating therapy in the PENTA 5 trial [1], with a median age of 7.1 years (range 0.3–15.5), CD4 cell percentage 17% (interquartile range 9–24%), and mean HIV-1-RNA level 5.01 log10 copies/ml (SD 0.76) at baseline. Children were randomly assigned to receive zidovudine/lamivudine (n = 8), zidovudine/abacavir (n = 13) and lamivudine/abacavir (n = 12). Sixteen children with more advanced disease also received nelfinavir; and 17 with asymptomatic disease received nelfinavir (n = 10) or placebo (n = 7) in a second randomization. Cell-associated HIV-1 DNA was measured in peripheral blood mononuclear cells (PBMC) at baseline, and at 4, 12, 24, 48 and 96 weeks. HIV-1-DNA quantification was performed using real-time polymerase chain reaction [2]. HIV-1 DNA copy numbers were normalized to the number of β-actin genes, and expressed relative to 106 PBMC (2 × 106 β-actin copies), and to 106 CD4 cells, by attributing the HIV-1-DNA load to the CD4 cell fraction, given that these cells are the main target of HIV-1 infection. Children in PENTA 5 experienced substantial increases in CD4 cell counts during the trial [1], so HIV-1-DNA copy numbers per cell were also transformed to copy numbers per millilitre of blood by taking into account the total number of CD4 cells per millilitre. HIV-1-RNA levels were determined using the Roche Amplicor assay (version 1.5; Roche Diagnostic Systems, Inc., Branchburg, NJ, USA). Normal interval regression [3] was used to estimate the mean absolute levels of and change in log10 HIV-1 DNA and HIV-1 RNA, replacing undetectable values with the interval in which the true value could lie (the interval up to the cut-off), and adjusting for multiple measurements on each child [4]. Overall, there was a significant decrease in log10 HIV-1-DNA copies in PBMC and CD4 cells after baseline (both P < 0.0001, Fig. 1(a) and (b)). Declines in HIV-1 DNA per 106 PBMC and 106 CD4 cells were 0.06 [95% confidence interval (CI) 0.02–0.10; P = 0.003] and 0.09 (0.05–0.13; P < 0.001) log10 copies per week, respectively, to week 4; followed by slower declines of 0.005 (0.002–0.007; P = 0.001) and 0.008 (0.004–0.012; P < 0.001) log10 copies per week in PBMC and CD4 cells, respectively, from 4 to 96 weeks. Expressing HIV-1-DNA copies per millilitre of blood to incorporate changes in CD4 cells, decreases of 0.06 log10 copies per week to week 4 (0.02–0.10; P = 0.005) and 0.005 log10 copies per week from 4 to 96 weeks (0.002–0.008; P < 0.001) were observed (Fig. 1(c) and (d)), which were lower than that estimated per 106 CD4 cells.Fig. 1.: HIV-1-DNA copies per 106 cells and per millilitre, and HIV-1-RNA copies per millilitre after initiation of antiretroviral therapy. (a) Change in log10 HIV-1-DNA copies per 106 cells. ––•–– Peripheral blood mononuclear cells (PBMC), ––○–– CD4 cells; (b) absolute HIV-1-DNA copies per 106 cells ––•–– PBMC, ––○–– CD4 cells; (c) change in log10 HIV-1-DNA and plasma HIV-1-RNA copies per millilitre. - - - • - - - HIV-1 DNA, - - - ○ - - - plasma HIV-1 RNA; (d) absolute log10 HIV-1-DNA and plasma HIV-1-RNA copies per millilitre. - - - • - - - HIV-1 DNA, - - - ○ - - - plasma HIV-1 RNA. aCalculated as mean (95% confidence interval) absolute log10 copies and back-transformed to absolute copies.Higher baseline plasma HIV-1-RNA levels were associated with a faster decline in HIV-1 DNA in the first 4 weeks (0.06 steeper slope for 1 log10 higher baseline HIV-1-RNA level; P = 0.04), but not after 4 weeks (P = 0.99). At week 4, no child had a plasma HIV-1-RNA level of less than 50 copies/ml, and only eight children (33%) had HIV-1-RNA levels of less than 400 copies/ml. Thirty children (91%) achieved HIV-1-RNA levels of less than 400 copies/ml and 19 (58%) less than 50 copies/ml at some time during follow-up. There was no evidence of a greater decline in HIV-1-DNA levels at timepoints when children had HIV-1-RNA levels of less than 50 copies/ml; if anything, changes in the HIV-1-DNA level were 0.07 log10 copies per millilitre smaller at these assessments (P = 0.63; 95% CI 0.37 smaller to 0.22 greater change from baseline at timepoints with HIV-1-RNA levels < 50 copies/ml). A higher baseline CD4 cell percentage was not associated with a decline in HIV-1-DNA level per 106 CD4 cells (P = 0.58), but was marginally associated with a faster decline in the HIV-1-DNA level per millilitre in the first 4 weeks (0.01 steeper slope for 5% higher baseline CD4%; P = 0.11). This is consistent with smaller increases in CD4 cell counts during ART in children with higher baseline CD4 cell percentages [2]. The overall change in plasma HIV-1 RNA per millilitre was 0.60 log10 copies per week to 4 weeks (95% CI 0.51–0.68; P < 0.0001), and 0.007 log10 copies per week from 4 to 96 weeks (0.001–0.010; P = 0.03). Although higher baseline HIV-1-DNA levels were associated with less steep initial and subsequent slopes in plasma HIV-1-RNA levels, neither interaction was statistically significant (both P = 0.16). However, children with higher baseline HIV-1-DNA levels had a lower chance of subsequently achieving plasma HIV-1-RNA levels of less than 50 copies/ml (odds ratio 0.54 for 1 log10 higher baseline HIV-1-DNA level; 95% CI 0.29–1.00; P = 0.05), whereas there was no significant effect of the baseline plasma HIV-1-RNA level (P = 0.25). In conclusion, our data show that after the initiation of ART the decay of cell-associated HIV-1 DNA is biphasic, with a rapid decrease during the first 4 weeks followed by a slower decline, similar to that observed for HIV-1 RNA, and in contrast with previous observations in adults [5]. We found that the higher the baseline HIV-1-RNA level the faster the initial decline in the HIV-1-DNA level, but that there was no association between the suppression of plasma HIV-1-RNA and HIV-1-DNA levels during ART. The decrease in the HIV-1-DNA level per millilitre of blood was lower than that estimated per 106 CD4 cells, mostly because of ongoing increases in CD4 cells, which are the main target of HIV-1 infection, and did not differ significantly in children with or without HIV-1-RNA suppression. The persistence of HIV-1 DNA may result both from latently infected cells with a long half-life and newly infected cells [6,7]. Together with the evidence that the peripheral increase in CD4 cells mainly consists of naive cells [1,8], these data strongly suggest that viral replication and the infection of newly produced CD4 cells occur in children on ART, regardless of their apparent HIV-1 suppression in plasma. PENTA Committees and Participants Virology Committee C. Boucher, A. de Rossi, C. Loveday, M. Muñoz Fernandez, D. Pillay, C. Rouzioux, S. Kaye Centres Participating in HIV-1-DNA substudy: Virologists/immunologistsc Italy: Ospedale Meyer, Florence: L. Galli, M. de Martino; Ospedale Civile, Modena: M. Cellini, C. Baraldi, M. Portolanic, M. Meaccic, P. Pietrosemolic; Università di Padova: C. Giaquinto, V. Giacomet, R. D'Elia, A. de Rossic, M. Zanchettac, D. de Fornic; IRCCS Policlinico San Matteo, Pavia: D. Caselli, A. Maccabruni, E. Cattaneoc, V. Landinic; Ospedale Bambino Gesò, Rome: G. Castelli-Gattinara, S. Bernardi, A. Krzysztofiak, C. Tancredi, P. Rossic, L. Pansanic; Ospedale S. Bortolo, Vicenza: R. Nicolin, A. Timillero. UK: Bristol Royal Hospital for Sick Children, Bristol: A. Foot, H. Kershaw; PHL Regional Virus Laboratory, Bristol: O. Caulc; Ninewells Hospital and Medical School, Dundee: W. Tarnow-Mordi, J. Petrie, P. McIntyrec, K. Appleyardc; Great Ormond St Hospital for Children NHS Trust, London: D. Gibb, V. Novelli, N. Klein, L. McGee, S. Ewen, M. Johnsonc; Newham General Hospital, London: D.M. Gibb, E. Cooper, T. Fisher, R. Barrie; St Bartholemew's Hospital, London: J. Normanc; University College London Medical School, London: S. Kayec. Acknowledgements The authors would like to thank all the children, families and staff from all the centres participating in the PENTA 5 trial. Sponsorship: PENTA is a Concerted Action of the European Commission, supported by BIOMED 2 contract BMH4-CT96-0836 and by contract QLK2-2000-00150. UK and Italian centres received support for the PENTA 5 trial from the Medical Research Council, UK, and Istituto Superiore di Sanita, Italy, respectively. Glaxo-Wellcome and Agouron provided drugs for the trial and contributed funding to undertake the PENTA 5 trial, but were not involved in this substudy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".