Research article | Open | Open Peer Review | Published:
The effects of antiretroviral therapy initiation time on HIV reservoir size in Chinese chronically HIV infected patients: a prospective, multi-site cohort study
BMC Infectious Diseasesvolume 19, Article number: 257 (2019)
The effect of ART initiation time on HIV-1 DNA reservoir in chronically infected individuals is not well understood. Determining the potential influencing factors associated with a low HIV-1 DNA level in chronic infection is an important step toward drug-free control.
A prospective study included 444 chronically HIV-infected adults was performed. Participants were divided into two groups: early initiation group (EIG) or delayed initiation group (DIG) based on their baseline CD4 count; 350 to 500 and < 350 cells/mm3, respectively. Total HIV-1 DNA was measured by quantitative PCR. Using the Mann-Whitney U test, the HIV-1 DNA level at week 48 was compared between the two groups. The influencing factors of the HIV-1 DNA and factors associated with achieving a low HIV-1 level at week 48 were analyzed.
The HIV-1 DNA at week 48 in EIG was significantly lower than in DIG [2.12 (1.80–2.51) vs 2.58 (2.21–2.87) log10 copies/106peripheral blood mononuclear cells (PBMCs); p = 0.001]. Early ART initiation was positively associated with lower HIV-1 DNA at week 48 (p = 0.025). Similarly, baseline HIV-1DNA (p = 0.001) was positively associated with HIV-1DNA at week 48 and baseline CD4/CD8 ratio (p = 0.001) was inversely associated with HIV-1DNA at week 48. Early ART initiation (p = 0.003) and baseline HIV-1 DNA level (p < 0.001) were positively associated with achieving HIV-1 DNA < 100 copies/106 PBMCs at week 48.
Early ART initiation is positively associated with a smaller size of viral reservoir and a higher possibility of achieving a low HIV-1DNA level at week 48 in Chinese chronically HIV-1 infected adult.
NCT01844297; Registered 1 May, 2013.
With more than 36 million persons living with HIV (PLHIV) globally , the number of PLHIV on antiretroviral treatment (ART) and related healthcare costs are gradually rising. Consequently, the international HIV cure initiative seeks a therapy-free solution [2, 3]. A major obstacle to HIV remission is the persistence of the virus as integrated HIV-1 DNA in infected memory CD4+ T cells even after long-term cART [2, 4]. Working on eradication or permanent control strategies requires HIV reservoir quantification and monitoring that is more informative than routine plasma HIV-1RNA testing.
The size of the HIV-1 DNA reservoir is predictive of clinical outcomes and disease progression, independent of CD4 cell count and HIV-1 RNA load . Very low HIV-1 DNA are observed in 2 particular populations of HIV-infected individuals: the elite HIV controllers (who control spontaneously viral replication)  and the posttreatment controllers (who initiate ART during early infection and are subsequently able to control viral replication for several years after ART interruption) . Thus, reducing the HIV-1 DNA reservoir as much as possible can be an interesting aim, as it could be a criterion for ART reduction or interruption . HIV-1 DNA level is also considered to be associated with non-AIDS related morbidities  and mortalities in virally suppressed patient .
Many approaches are used to estimate the size of HIV-1 reservoirs including quick PCR techniques to laborious viral outgrowth assays . Among them, total HIV-1 DNA assay is a reproducible and standardized marker [12,13,14]. Furthermore, total HIV-1 DNA quantification is better suited large clinical trials compared to the use of labor-intensive viral outgrowth assay . Although still unavailable worldwide as a standardized assay, total HIV-1 DNA quantification is becoming cheaper and more accessible. It has been applied to cases of special interest including early therapy initiation in adults [4, 11, 15, 16] and infants [16,17,18], controlled treatment interruption , post-treatment controllers  and intensification of regimens [20, 21].
Treatment as early as possible during primary HIV-1 infection restricts the size of HIV reservoirs, ensuring optimal immune restoration and inhibiting T-cell activation [4, 21, 22]. In comparison, HIV reservoir is more stable in patients with chronic HIV infection , but unfortunately, most patients infected with HIV are diagnosed at this stage. The effect of ART initiation time on the reservoir size in chronic infection is not well understood. Several studies describe HIV-1 DNA levels in treated patients but are often restricted by single time-point sampling and number of patients [8, 23,24,25,26,27]. Furthermore, recent related studies include Caucasians primarily while data on Asians are insufficient [23, 25, 26, 28,29,30]. The difference in the dominance in HIV-1 subtype between Chinese patients and Caucasian patients may lead to the difference in the amount of HIV-1 DNA change after cART between these two different ethnic groups. A research conducted in Chinese HIV-infected patients shows that the subtype of HIV-1 influenced the amount of HIV-1 DNA change after cART. In this study, after 18 months of cART, total HIV-1 DNA decreased more pronouncedly in patients infected by CRF01_AE than in those infected by subtype B and CRF07_BC . As we know, CRF01_AE is a dominant strain among native HIV-infected individuals in China , whereas subtype B dominates the HIV-1 epidemic in North America and in Western and Central Europe . Therefore, we undertook a prospective multi-site cohort study of HIV-positive Chinese adults with chronic infection to explore the effect of ART initiation time on the total HIV-1 DNA after ART. We also explore the potential influencing factors associated with a low HIV-1 DNA level in chronic infection.
The China AIDS Clinical Trial 1215 study (CACT1215) is a prospective, multicenter cohort study designed to compare the efficacy of cART with different initiation time and assess the safety of ART regimens. The CACT1215 study was conducted in clinical trial units located in 9 Chinese cities: Beijing, Shanghai, Guangzhou, Chengdu, Changsha, Nanning, Liuzhou, Zhengzhou and Shenyang. The patients therefore represent a broad cross-section of the overall population of HIV infected patients in China. ART-naïve individuals with documented HIV-1 infection, who were between 18 and 65 years of age, and who had CD4 counts ≤500 cells/mm3 were eligible for the study. After baseline assessment, participants were treated 300 mg of lamivudine, 600 mg of tenofovir and 600 mg of efavirenz, daily, within two weeks of enrollment. On the basis of baseline CD4 count, patients were divided into 2 groups: HIV-positive individuals who had a baseline CD4 count of either 350–500 cells/mm3 (early initiation group, EIG) or baseline CD4 count < 350 cells/mm3 (delayed initiation group, DIG). As part of this large cohort study, the HIV-1DNA levels of the participants were measured prior to ART initiation, after 24 weeks and 48 weeks of treatment. From a total of 500 patients enrolled in this study, 444 patients had completed all the HIV-1 DNA measurements and were included in the present analysis.
The study protocol was approved by an independent ethics committee and the institutional review board of PUMCH (Peking Union Medical College Hospital). The trial was carried out in accordance with the principles of Good Clinical Practice and the Declaration of Helsinki. Written informed consent was obtained from all the participants. This study was registered with ClinicalTrials.gov, number NCT01844297.
HIV-1 DNA quantification
Total HIV-1 DNA was extracted from 200 μL peripheral blood using Qiagen QIAsymphony DNA Mini Kits (QIAGEN, Valencia, CA). The extraction of HIV-1 DNA and PCR for HIV-1 DNA were made using frozen samples. HIV-1 DNA in the peripheral blood (mainly white blood cells, WBCs) was amplified and quantified for LTR gene using a fluorescence-based, real-time SUPBIO HIV Quantitative Detection Kit (SUPBIO, Guangzhou, China). The reaction system as follows: reaction mixture 44.2 μL, enzyme 0.8 μL, DNA 5 μL. The housekeeping gene were amplified at the same time to quantify the cell amount. HIV-1 DNA were measured in duplicate and the quantification range of this assay was 20–5 × 106 copies/106 WBCs. The amount of HIV-1 DNA per 106 PBMCs was calculated.
CD4+ cells count, CD8+ cells count and HIV-1 RNA determination
CD4+ T lymphocytes and CD8+ T lymphocytes were determined by flow cytometry (FACS Canto, BD Biosciences, NJ, USA) using commercially available monoclonal antibodies and plasma HIV-1 RNA load was measured using the COBAS Ampliprep/TaqMan 48 real-time RT-PCR Test (Roche, CA, USA) according to the manufacturer’s instructions. The detection range was from 40 to 1,000,000 copies/mL. All participants were tested for CD4+ and CD8+ cell counts and HIV-1RNA at baseline and at time of all visit.
Demographic and baseline clinical characteristics were summarized for each treatment group using the median and the interquartile range (IQR) for continuous variables and the frequency and the percentage for categorical variables. We used the Mann-Whitney U test to compare the distribution of HIV-1 DNA (log10 /106 PBMCs) between the two groups at week 24 and at week 48. We used the Mann-Whitney U test to analyze the distribution of changes in the HIV-1 DNA from baseline to week 24 and week 48 between the two groups. Mixed-effects regression modeling was performed to assess the impact of ART timing on HIV-1 DNA at week 48; this was analyzed on a logarithmic scale (log10). Both univariate and multivariate models were used to determine the relative associations between early versus delayed ART, age, sex, baseline CD4+ cell count, baseline CD4/CD8 ratio, baseline HIV-1 RNA, baseline HIV-1 DNA and HIV-1 DNA at week 48. Univariate and multivariate logistic regression were used to identify predictors of a low HIV-1 DNA level at week 48. Statistical analysis was performed using SPSS 22.0 (IBM Corporation, Armonk, New York, USA) and Stata/SE 13.0 software (StataCorp. College Station/USA). A p value of < 0.05 was considered significant.
Baseline participant characteristics
Table 1 summarized the baseline characteristics of the 444 Chinese adult ART-naïve patients whose data were included in the study. There were 265 participants with CD4 count < 350 cells/mm3 in DIG and 179 subjects with CD4 count between 350 and 500 cells/mm3 in EIG. The EIG had higher proportion of HIV-1 AE subtype than DIG (47.2% vs. 33.5%, p = 0.004). The median baseline CD4 count in EIG was higher than DIG (401 vs. 239 cells/mm3, p < 0.001). The baseline CD4/CD8 ratio was also higher in EIG (0.39 vs.0.25, p = 0.001). The median baseline HIV-1 DNA was also lower in the EIG than DIG (2.73 vs. 3.00 log10 copies/106 PBMCs, p < 0.001).
HIV-1 DNA dynamics
At week 48, the median HIV-1 DNA in the EIG was significantly lower than that in the DIG [2.12 (1.80–2.51) vs. 2.58 (2.21–2.87) log10 copies/106 PBMCs, p < 0.001; Fig. 1]. At week 24, the median HIV-1 DNA in the EIG was also significantly lower than that in the DIG [2.26 (1.89–2.59) vs. 2.61(2.25–2.93) log10 copies/106 PBMCs, p < 0.001; Fig. 1].
The largest decrease in HIV-1 DNA occurred during the first 24 weeks in both groups: at week 24, the median change from baseline in HIV-1 DNA was − 0.46 (− 0.69 to − 0.22) log10 copies/106 PBMCs in the EIG and − 0.44 (− 0.66 to − 0.20) log10 copies/106 PBMCs in the DIG. At week 48, the median change from baseline in HIV-1 DNA was − 0.48 (− 0.81 to − 0.25) log10 copies/106 PBMCs in the EIG and − 0.48 (− 0.72 to − 0.25) log10 copies/106 PBMCs in the DIG.
After 24 weeks of cART, 97.8% (175/179) of the participants achieved HIV-1 RNA < 400 copies/ml after 48 weeks of ART in the EIG and 93.2% (247/265) of the participants achieved HIV-1 RNA < 400 copies/ml after 48 weeks of ART in the DIG. After 48 weeks of cART, 98.9% (177/179) of the participants achieved HIV-1 RNA < 400 copies/ml in the EIG and 95.1% (252/265) achieved HIV-1 RNA < 400 copies/ml in the DIG (p = 0.033).
Effects of ART initiation time on the HIV-1 DNA at week 48
We examined how the HIV-1 DNA at week 48 was influenced by ART initiation time (EIG vs. DIG), age, sex, the baseline CD4 count, the baseline CD4/CD8 ratio, the baseline HIV-1 RNA and the baseline HIV-1 DNA. Multivariate Mixed-effects modeling showed lower HIV-1 DNA level at week 48 was predicted by earlier ART initiation time (p = 0.025), lower baseline HIV-1 DNA level (p = 0.001), and higher baseline CD4/CD8 ratio (p = 0.001); Table 2.
Factors associated with a low HIV-1 DNA level at week 48
Because there is no standard to define a low HIV-1 DNA level, two cut-offs were considered: HIV-1DNA level below the limit of detection (20 copies/106PBMCs) and lower than 100 copies/106 PBMCs, which was used in Slim Fourati et al’ study . After 48 weeks of cART, the percentage of subjects who achieved HIV-1 DNA below the limit of detection was also significantly higher in EIG than DIG (7.3% vs. 3.0%, p = 0.039) and the percentage of subjects who achieved HIV-1 DNA lower than 100 copies/106PBMCs was also significantly higher in EIG than DIG (37.4% vs. 17.7%, p < 0.001).
To assess whether clinical, immunological or virological parameters might be related to obtaining a low HIV-1 DNA level at week 48, univariate and multivariate logistic models were used. We examined how the percentage of participants who achieved a low HIV-1 DNA level at week 48 was influenced by ART initiation timing, age, sex, HBV infection, HCV infection, the baseline CD4 count, the baseline CD4/CD8 ratio, the baseline HIV-1 RNA and the baseline HIV-1 DNA. When considering the cut-off 20 copies/106PBMCs, a low HIV-1DNA level at week 48 was associated with the baseline HIV-1 DNA level (p < 0.001); Table 3. When considering the cut-off lower than 100 copies/106 PBMCs, a low HIV-1DNA at week 48 was associated with early ART initiation (p = 0.003) and the baseline HIV-1 DNA level (p < 0.001); Table 3.
In this study, we demonstrate that chronically infected adults who start ART at a CD4 count between 350 and 500 cells/mm3 had a lower HIV-1 DNA reservoir size and a higher possibility of achieving a low HIV-1DNA level, compared to those patients who started ART at a CD4 count < 350 cells/mm3. To our knowledge, this is the first multicenter prospective cohort study in China  and the prospective cohort study with the largest participant number all over the world [8, 21, 25, 34, 35], to comprehensively assess the effect of different ART initiation time on HIV-1 DNA reservoir size after cART in chronically-infected patients.
Cellular reservoirs of latent, genomically-integrated HIV are established quickly after infection . HIV-1-infected individuals who achieve virologic suppression with cART nonetheless retain long-lived cellular HIV reservoirs. For individuals with a peak viral load below 5 log10 HIV-1 RNA copies/mL, a past episode of virologic failure is associated with an increased risk of having high HIV-1 DNA level . A low total HIV-1 DNA in PBMCs is independently predictive of a longer time to loss of viral control following treatment interruption . Given the correlation between HIV-1 DNA levels and clinical outcomes  and given that replication incompetent virus can contribute to immune activation [36,37,38], controlling this latent HIV-1 reservoir is an important goal of future HIV treatment strategies.
Our results showed a decline in the size of HIV-1 reservoirs was reported at weeks 24 and 48; however, this observed decrease was less than that previously reported in individuals with primary infection . The decrease in total HIV-1 DNA reservoirs did not differ significantly between the EIG and the DIG after ART initiation.
Defining the interplay between ART initiation time and size of viral reservoir is critical. Our multivariate modeling demonstrates that ART initiation time, the baseline HIV-1 DNA levels, and the baseline CD4/CD8 ratio are associated with the HIV-1 DNA level following ART. Our results demonstrate a significant correlation between early ART initiation and a lower level of HIV-1 DNA at follow-up time after ART, suggesting lower viral reservoirs levels would be achieved by starting ART earlier in chronically-infected patients. In our study, low levels of pretreatment HIV-1 DNA were correlated with low levels of HIV-1 DNA at follow-up time after cART, which was consistent with the previous study [21, 23, 40]. Our study also showed that a higher pre-ART CD4/CD8 ratio was associated with a low HIV-1 reservoir after cART. Chun et al. first revealed an inverse correlation between the CD4/CD8 ratio and CD4+ T cells carrying HIV-1 DNA in infected patients receiving cART . Later, Boulassel et al. confirmed this result . One possible explanation is that a low baseline CD4/CD8 ratio indicates a high extent of immune activation and enhanced homeostatic proliferation of HIV-1-infected CD4+ lymphocyte, resulting in the high level of the persistence of HIV-1DNA reservoirs [43, 44]. The amount of HIV-1 DNA is influenced by the CD4/CD8 ratio . Early ART initiation is often associated with a higher probability of normalization of the CD4/CD8 ratio after cART . The mechanisms underlying the association of early ART initiation and the level of HIV-1 DNA after cART could be that early ART initiation can lead to a higher percentage of normalization of the CD4/CD8 ratio after cART, which can further influenced the level of HIV-1 DNA after cART.
Low levels of HIV-1 DNA are predictive of better clinical outcomes in infected individuals . Bring HIV-1 DNA to extremely low levels may permit treatment simplification  and influence the occurrence of viral rebound upon discontinuation of therapy . Those individuals with very low levels of HIV-1 DNA might be the ideal population to enroll in future cure trials involving reduced or interrupted ART .
Regardless of the cut-off used, the percentage of subjects achieved a low HIV-1 DNA level at week 48 was significantly higher in the EIG than that in the DIG. When considering the cut-off of 100 copies/106 PBMCs, our multivariate modeling suggests that early ART initiation and the low baseline HIV-1 DNA are associated with achieving a low HIV-1 DNA level at week 48. Considering that a low HIV-1 DNA level is meaningful for functional cure, our study may contribute to the selection and the monitoring of patients on ART who will be selected to participate in eradication studies .
Our study has several limitations. First, as with any observational study, even after adjusting for known possible risk factors, residual confounding may occur because of unmeasured risk factors that may be associated with early ART initiation and lower level of HIV-1 DNA. Only a large, well-designed randomized trial can balance such unmeasured factors. Second, follow-up was limited to 48 weeks. The duration of cART in our study was not sufficient to fully understand the long-term effects of the ART initiation time on the HIV-1 DNA reservoir. However, the reservoir stayed stable after 6 months of cART. Longer prospective studies are needed, therefore, to assess the long-term effect of different ART initiation strategies on reducing the size of the HIV reservoir.
In conclusion, a lower HIV-1 DNA following cART is found to be associated with early ART initiation, with a lower baseline HIV-1 DNA and with higher baseline CD4/CD8 ratio in chronically infected adults. Factors associated with HIV-1 DNA lower than 100 copies/106PBMCs at week 48 include ART initiation time and the baseline HIV-1 DNA level. This study provides more information on HIV-1 DNA reservoir related factors in chronic infection. Considering a low HIV-1 DNA level is a meaning factor for functional cure, our study may contribute to the selection and the monitoring of patient who could be selected to participate in the viral eradication studies.
China AIDS Clinical Trial 1215 study
Delayed initiation group
Early initiation group
Hepatitis B surface antigen
Hepatitis C virus
Human immunodeficiency virus
Peripheral blood mononuclear cells
Persons living with HIV
Peking Union Medical College Hospital
Joint United Nations Programe on HIV/AIDS (UNAIDS). Global AIDS Update 2016. http://www.unaids.org/en/20180718_GR2018. Published 2016. Accessed September 1, 2017.
International ASSWGoHIVC, Deeks SG, Autran B, Berkhout B, Benkirane M, Cairns S, Chomont N, Chun TW, Churchill M, Di Mascio M, et al. Towards an HIV cure: a global scientific strategy. Nat Rev Immunol. 2012;12(8):607–14.
Deeks SG, Lewin SR, Ross AL, Ananworanich J, Benkirane M, Cannon P, Chomont N, Douek D, Lifson JD, Lo YR, et al. International AIDS society global scientific strategy: towards an HIV cure 2016. Nat Med. 2016;22(8):839–50.
Buzon MJ, Martin-Gayo E, Pereyra F, Ouyang Z, Sun H, Li JZ, Piovoso M, Shaw A, Dalmau J, Zangger N, et al. Long-term antiretroviral treatment initiated at primary HIV-1 infection affects the size, composition, and decay kinetics of the reservoir of HIV-1-infected CD4 T cells. J Virol. 2014;88(17):10056–65.
Williams JP, Hurst J, Stohr W, Robinson N, Brown H, Fisher M, Kinloch S, Cooper D, Schechter M, Tambussi G, et al. HIV-1 DNA predicts disease progression and post-treatment virological control. Elife. 2014;3:e03821.
Graf EH, Mexas AM, Yu JJ, Shaheen F, Liszewski MK, Di Mascio M, Migueles SA, Connors M, O'Doherty U. Elite suppressors harbor low levels of integrated HIV DNA and high levels of 2-LTR circular HIV DNA compared to HIV+ patients on and off HAART. PLoS Pathog. 2011;7(2):e1001300.
Hocqueloux L, Prazuck T, Avettand-Fenoel V, Lafeuillade A, Cardon B, Viard JP, et al. Long-term immunovirologic control following antiretroviral therapy interruption in patients treated at the time of primary HIV-1 infection. AIDS. 2010;24(10):1598–601.
Fourati S, Flandre P, Calin R, Carcelain G, Soulie C, Lambert-Niclot S, Maiga A, Ait-Arkoub Z, Tubiana R, Valantin M-A, et al. Factors associated with a low HIV reservoir in patients with prolonged suppressive antiretroviral therapy. J Antimicrob Chemother. 2014;69(3):753–6.
Jumare J, Sunshine S, Ahmed H, El-Kamary SS, Magder L, Hungerford L, Burdo T, Eyzaguirre LM, Umlauf A, Cherner M, et al. Peripheral blood lymphocyte HIV DNA levels correlate with HIV associated neurocognitive disorders in Nigeria. J Neuro-Oncol. 2017;23(3):474–82.
de Oliveira MF, Murrell B, Perez-Santiago J, Vargas M, Ellis RJ, Letendre S, Grant I, Smith DM, Woods SP, Gianella S. Circulating HIV DNA correlates with neurocognitive impairment in older HIV-infected adults on suppressive ART. Sci Rep. 2015;5:17094.
Eriksson S, Graf EH, Dahl V, Strain MC, Yukl SA, Lysenko ES, Bosch RJ, Lai J, Chioma S, Emad F, et al. Comparative analysis of measures of viral reservoirs in HIV-1 eradication studies. PLoS Pathog. 2013;9(2):e1003174.
Rouzioux C, Melard A, Avettand-Fenoel V. Quantification of total HIV1-DNA in peripheral blood mononuclear cells. Methods Mol Biol. 2014;1087:261–70.
Rouzioux C, Avettand-Fenoel V. Total HIV DNA: a global marker of HIV persistence. Retrovirology. 2018;15(1):30.
Rouzioux C, Tremeaux P, Avettand-Fenoel V. HIV DNA: a clinical marker of HIV reservoirs. Curr Opin HIV AIDS. 2018;13(5):389–94.
Garrigue I, Pellegrin I, Hoen B, Dumon B, Harzic M, Schrive MH, Séréni D, Fleury H. Cell-associated HIV-1-DNA quantitation after highly active antiretroviral therapy-treated primary infection in patients with persistently undetectable plasma HIV-1 RNA. AIDS. 2000;14(18):2851–5.
Persaud D, Gay H, Ziemniak C, Chen YH, Piatak M Jr, Chun TW, Strain M, Richman D, Luzuriaga K. Absence of detectable HIV-1 viremia after treatment cessation in an infant. N Engl J Med. 2013;369(19):1828–35.
Luzuriaga K, Tabak B, Garber M, Chen YH, Ziemniak C, McManus MM, Murray D, Strain MC, Richman DD, Chun T-W, et al. HIV type 1 (HIV-1) Proviral reservoirs decay continuously under sustained Virologic control in HIV-1–infected children who received early treatment. J Infect Dis. 2014;210(10):1529–38.
Uprety P, Chadwick EG, Rainwater-Lovett K, Ziemniak C, Luzuriaga K, Capparelli EV, et al. Cell-associated HIV-1 DNA and RNA decay dynamics during early combination antiretroviral therapy in HIV-1-infected infants. Clin Infect Dis. 2015;61(12):1862–70.
Saez-Cirion A, Bacchus C, Hocqueloux L, Avettand-Fenoel V, Girault I, Lecuroux C, Potard V, Versmisse P, Melard A, Prazuck T, et al. Post-treatment HIV-1 controllers with a long-term virological remission after the interruption of early initiated antiretroviral therapy ANRS VISCONTI study. PLoS Pathog. 2013;9(3):e1003211.
Ananworanich J, Schuetz A, Vandergeeten C, Sereti I, de Souza M, Rerknimitr R, Dewar R, Marovich M, van Griensven F, Sekaly R, et al. Impact of multi-targeted antiretroviral treatment on gut T cell depletion and HIV reservoir seeding during acute HIV infection. PLoS One. 2012;7(3):e33948.
Hocqueloux L, Avettand-Fenoel V, Jacquot S, Prazuck T, Legac E, Melard A, Niang M, Mille C, Le Moal G, Viard JP, et al. Long-term antiretroviral therapy initiated during primary HIV-1 infection is key to achieving both low HIV reservoirs and normal T cell counts. J Antimicrob Chemother. 2013;68(5):1169–78.
Malatinkova E, De Spiegelaere W, Bonczkowski P, Kiselinova M, Vervisch K, Trypsteen W, Johnson M, Verhofstede C, de Looze D, Murray C, et al. Impact of a decade of successful antiretroviral therapy initiated at HIV-1 seroconversion on blood and rectal reservoirs. Elife. 2015;4:e09115.
Parisi SG, Sarmati L, Andreis S, Scaggiante R, Cruciani M, Ferretto R, Manfrin V, Basso M, Andreoni M, Mengoli C, et al. Strong and persistent correlation between baseline and follow-up HIV-DNA levels and residual viremia in a population of naive patients with more than 4 years of effective antiretroviral therapy. Clin Microbiol Infect. 2015;21(3):288 e285–287.
Sarmati L, Parisi SG, Montano M, Andreis S, Scaggiante R, Galgani A, Viscione M, Maffongelli G, Ricciardi A, Andreoni C, et al. Nevirapine use, prolonged antiretroviral therapy and high CD4 nadir values are strongly correlated with undetectable HIV-DNA and -RNA levels and CD4 cell gain. J Antimicrob Chemother. 2012;67(12):2932–8.
Stanoeva KR, König A, Fukuda A, Kawanami Y, Kuwata T, Satou Y, Matsushita S. Total HIV-1 DNA dynamics and influencing factors in long-term ART-treated Japanese adults. JAIDS Journal of Acquired Immune Deficiency Syndromes. 2018;78(2):239–47.
Yue Y, Wang N, Han Y, Zhu T, Xie J, Qiu Z, Song X, Li Y, Routy J-P, Wang J, et al. A higher CD4/CD8 ratio correlates with an ultralow cell-associated HIV-1 DNA level in chronically infected patients on antiretroviral therapy: a case control study. BMC Infect Dis. 2017;17(1):771. https://doi.org/10.1186/s12879-017-2866-y.
Wang N, Li Y, Han Y, Xie J, Li T. HIV sequence diversity during the early phase of infection is associated with HIV DNA reductions during antiretroviral therapy. J Med Virol. 2017;89(6):982–8.
Assoumou L, Weiss L, Piketty C, Burgarde M, Melardf A, Girard PM, et al. A low HIV-DNA level in peripheral blood mononuclear cells at antiretroviral treatment interruption predicts a higher probability of maintaining viral control. AIDS. 2015;29:2003–7.
Calin R, Hamimi C, Lambert-Niclot S, Carcelain G, Bellet J, Assoumou L, Tubiana R, Calvez V, Dudoit Y, Costagliola D, et al. Treatment interruption in chronically HIV-infected patients with an ultralow HIV reservoir. AIDS. 2016;30(5):761–9.
Falasca F, Di Carlo D, De Vito C, Bon I, d'Ettorre G, Fantauzzi A, et al. Evaluation of HIV-DNA and inflammatory markers in HIV-infected individuals with different viral load patterns. BMC Infect Dis. 2017;17(1):581.
Lu Z, Jiao Y, Li J, Lan G, Lu C, Li X, Tang Z, Wang N. After 18 months of antiretroviral therapy, total HIV DNA decreases more pronouncedly in patients infected by CRF01_AE than in those infected by subtype B and CRF07_BC. Microbiol Immunol. 2018;62(4):248–54.
Yuan R, Cheng H, Chen LS, Zhang X, Wang B. Prevalence of different HIV-1 subtypes in sexual transmission in China: a systematic review and meta-analysis. Epidemiol Infect. 2016;144(10):2144–53.
Cabello M, Romero H, Bello G. Multiple introductions and onward transmission of non-pandemic HIV-1 subtype B strains in North America and Europe. Sci Rep. 2016;6:33971. https://doi.org/10.1038/srep33971.
Piketty C, Weiss L, Assoumou L, Burgard M, Mélard A, Ragnaud J-M, Bentata M, Girard P-M, Rouzioux C, Costagliola D. A high HIV DNA level in PBMCs at antiretroviral treatment interruption predicts a shorter time to treatment resumption, independently of the CD4 nadir. J Med Virol. 2010;82(11):1819–28.
Avettand-Fenoel V, Bouteloup V, Melard A, Fagard C, Chaix ML, Leclercq P, Chene G, Viard JP, Rouzioux C, members of the Es. Higher HIV-1 DNA associated with lower gains in CD4 cell count among patients with advanced therapeutic failure receiving optimized treatment (ANRS 123--ETOILE). J Antimicrob Chemother. 2010;65(10):2212–4.
Imamichi H, Dewar RL, Adelsberger JW, Rehm CA, O'Doherty U, Paxinos EE, Fauci AS, Lane HC. Defective HIV-1 proviruses produce novel protein-coding RNA species in HIV-infected patients on combination antiretroviral therapy. Proc Natl Acad Sci U S A. 2016;113(31):8783–8.
Ruggiero A, De Spiegelaere W, Cozzi-Lepri A, Kiselinova M, Pollakis G, Beloukas A, Vandekerckhove L, Strain M, Richman D, Phillips A, et al. During stably suppressive antiretroviral therapy integrated HIV-1 DNA load in peripheral blood is associated with the frequency of CD8 cells expressing HLA-DR/DP/DQ. EBioMedicine. 2015;2(9):1153–9.
Khoury G, Fromentin R, Solomon A, Hartogensis W, Killian M, Hoh R, Somsouk M, Hunt PW, Girling V, Sinclair E, et al. Human immunodeficiency virus persistence and T-cell activation in blood, rectal, and lymph node tissue in human immunodeficiency virus-infected individuals receiving suppressive antiretroviral therapy. J Infect Dis. 2017;215(6):911–9.
Koelsch KK, Boesecke C, McBride K, Gelgor L, Fahey P, Natarajan V, Baker D, Bloch M, Murray JM, Zaunders J, et al. Impact of treatment with raltegravir during primary or chronic HIV infection on RNA decay characteristics and the HIV viral reservoir. AIDS. 2011;25(17):2069–78.
Parisi SG, Andreis S, Mengoli C, Scaggiante R, Ferretto R, Manfrin V, Cruciani M, Giobbia M, Boldrin C, Basso M, et al. Baseline cellular HIV DNA load predicts HIV DNA decline and residual HIV plasma levels during effective antiretroviral therapy. J Clin Microbiol. 2011;50(2):258–63.
Chun TW, Justement JS, Pandya P, Hallahan CW, McLaughlin M, Liu S, Ehler LA, Kovacs C, Fauci AS. Relationship between the size of the human immunodeficiency virus type 1 (HIV-1) reservoir in peripheral blood CD4+ T cells and CD4+:CD8+ T cell ratios in aviremic HIV-1-infected individuals receiving long-term highly active antiretroviral therapy. J Infect Dis. 2002;185(11):1672–6.
Boulassel MR, Chomont N, Pai NP, Gilmore N, Sekaly 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(1):29–32.
Chomont N, El-Far M, Ancuta P, Trautmann L, Procopio FA, Yassine-Diab B, Boucher G, Boulassel MR, Ghattas G, Brenchley JM, et al. HIV reservoir size and persistence are driven by T cell survival and homeostatic proliferation. Nat Med. 2009;15(8):893–900.
Barouch DH, Deeks SG. Immunologic strategies for HIV-1 remission and eradication. Science. 2014;345(6193):169–74.
Gibellini L, Pecorini S, De Biasi S, Bianchini E, Digaetano M, Pinti M, Carnevale G, Borghi V, Guaraldi G, Mussini C, et al. HIV-DNA content in different CD4+ T-cell subsets correlates with CD4+ cell. Aids. 2017;31(10):1387–92.
Mussini C, Lorenzini P, Cozzi-Lepri A, Lapadula G, Marchetti G, Nicastri E, Cingolani A, Lichtner M, Antinori A, Gori A, et al. CD4/CD8 ratio normalisation and non-AIDS-related events in individuals with HIV who achieve viral load suppression with antiretroviral therapy: an observational cohort study. Lancet HIV. 2015;2(3):e98–e106.
Yerly S, Günthard HF, Fagard C, Joos B, Perneger TV, Hirschel B, et al. Proviral HIV-DNA predicts viral rebound and viral setpoint after structured treatment interruptions. AIDS. 2004;18(14):1951–3.
We thank the participants for their contributions to this study. We also thank Ms. Jacquie Sas for coordinating the PUMCH and the Canadian Institutes of Health Research (CIHR) Canadian HIV Trials Network (CTN) so that this study could be conducted. Finally, we thank Dr. Gina Graziani for critically reviewing this manuscript.
The study was supported by the National Key Technologies R&D Program for the 12th Five-Year Plan (grant 2012ZX10001003–001), the National Natural Science Funds of China (grant 81101305) and the National Science and Technology Support Program (2014 BAI07B06). The funding bodies played no role in the design of the study, data collection, data analysis, interpretation of data, and writing of the manuscript.
Availability of data and materials
The datasets used in the current study are available from the corresponding author on reasonable request.
Ethics approval and consent to participate
The Ethic Committee of Peking Union Medical College Hospital approved this study and all the participant provided written informed consent.
Consent for publication
The authors declare that they have no competing interests.
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