Correction
27 Feb 2020: Amendola A, Sberna G, Forbici F, Abbate I, Lorenzini P, et al. (2020) Correction: The dual-target approach in viral HIV-1 viremia testing: An added value to virological monitoring?. PLOS ONE 15(2): e0230018. https://doi.org/10.1371/journal.pone.0230018 View correction
Figures
Abstract
New methods of HIV-1 RNA quantification based on dual-target detection are increasingly used in HIV viral load monitoring, but clinical implications and impact of dual-target detection on HIV-1 infection management are not established. Aptima HIV-1 Quant Dx assay is a last generation HIV viral load method, that uses pol and LTR as simultaneous target, providing quantitative results based mainly on pol target, while LTR target is used to report the results when pol signal is absent. In our laboratory, about 6% of results of all HIV-1 viral load tests performed with this platform in one year period resulted from LTR signal. Interestingly, LTR-based viremia (sometimes exceeding 1,000 copies/mL) was observed in a small proportion (up to 1%) of patients under ART, considered for long time virologically suppressed on the basis of a single target (pol-based) assay. Male gender, >700 vs <200 CD4 cell/mL and dual therapy including NRTI plus either NNRTI, or PI/b or INSTI were independently associated with increased risk of LTR-based HIV-1 viral load detection by multivariable logistic regression. A significant linear correlation was observed between LTR-based HIV-1 RNA levels and PBMC-associated proviral DNA. Moreover, in a small group of patients with HIV-1 RNA levels >200 copies/mL, longitudinal assessments showed parallel kinetics between plasma viremia and proviral DNA. Sequencing of pol region for drug resistance assessment in patients with LTR-based viremia failed on plasma HIV-1 RNA, while it was successful on proviral DNA. The detection/quantification of HIV-1 viremia based only on LTR signal with a dual target assay in samples resulting undetectable with the more conventional target pol needs accurate evaluation; unravelling the biological basis of this phenomenon, here described for the first time, is mandatory to establish relevance and implication by both pathogenetic (i.e. infectivity of LTR-detected viruses, reservoir turnover, immune activation, etc.) and clinical standpoint.
Citation: Amendola A, Sberna G, Forbici F, Abbate I, Lorenzini P, Pinnetti C, et al. (2020) The dual-target approach in viral HIV-1 viremia testing: An added value to virological monitoring? PLoS ONE 15(2): e0228192. https://doi.org/10.1371/journal.pone.0228192
Editor: Jean-Luc EPH Darlix, "INSERM", FRANCE
Received: June 4, 2019; Accepted: January 10, 2020; Published: February 5, 2020
Copyright: © 2020 Amendola et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: Data cannot be shared publicly because of they are sensitive data and belong exclusively to INMI. However data are available from the Lazzaro Spallanzani INMI WLAB Institutional Data Access (http://rawdata.inmi.it). The authors confirm they had no special access or privileges that others would not have.
Funding: This work was supported by Ricerca Corrente grants assigned to CMR from the Italian Ministry of Health. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. There was no additional external funding received for this study.
Competing interests: The authors have declared that no competing interests exist.
Abbreviations: Aptima, Aptima HIV-1 Quant Dx assay; RealTime, RealTime HIV-1 assay; ART, antiretroviral therapy; VL, viral load; PBMC, peripheral blood mononuclear cells; LLOD, low limit of detection; IQR, Interquartile range; NRTI, nucleoside reverse transcriptase inhibitors; NNRTI, non-nucleoside reverse transcriptase inhibitors; INSTI, Integrase strand transfer inhibitors; PI/b, Protease inhibitor/boosted
Introduction
According to international guidelines for clinical management of HIV-1 disease, HIV-1 RNA viral load (VL) and CD4+ T lymphocyte (CD4) cell count are the two main laboratory parameters used in clinical management of HIV-1-infected patients, before the initiation of antiretroviral therapy (ART) and in monitoring of antiretroviral treatment [DHHS. https://aidsinfo.nih.gov/guidelines.html; WHO. https://www.who.int/hiv/pub/arv/arv-2016/en/; EACS. http://www.eacsociety.org/guidelines/eacs-guidelines/eacs-guidelines.html; 1]. The level indicating optimal virological suppression is defined as VL persistently below the limit of detection of the diagnostic assay (20–75 copies/mL HIV-1 RNA, depending on the assay used), even though 50 copies/mL is conventionally considered as an acceptable threshold for viral suppression in the routine setting.
Most available HIV-1 RNA tests are based on real-time PCR, which guarantees high sensitivity, specificity, reproducibility and good correlation in overlapping range of quantification among different assays [2–5]. The design of several available HIV-1 RNA assays is based on the detection of a single target region of HIV-1 genome, such as pol, gag or LTR, while in the last generation assays the design tends to shift towards the simultaneous detection of two regions of viral genome. Among the latter, Aptima HIV-1 Quant Dx Assay (Aptima), a totally automated assay based on transcription mediated amplification (TMA), utilizes multiple HIV-1 specific primers to capture two regions of the HIV-1 genome. The detection of viral genome is performed in a multiplex reaction, in which both pol and LTR regions of HIV-1 are simultaneously and independently amplified [https://www.hologic.com/sites/default/files/package-insert/AW-11853-001_003_01.pdf.]. Although the viral load calculation is based on the signal provided by the pol target, LTR target is used for the VL quantification when pol is not amplified.
Recently, Aptima replaced RealTime HIV-1 (RealTime) assay (based on single-target detection of pol) in the Laboratory of Virology at the “Lazzaro Spallanzani” IRCCS Hospital. In a previous study, carried out in our laboratory, a comparison between these two assays yielded about 8% of discordant samples, that were detected with Aptima but were undetected with RealTime [6], in line with other report [7]. After the implementation of Aptima as routine VL test, we also observed that some patients, historically considered fully suppressed with the previous method (RealTime), showed measurable HIV-1 RNA detected only with LTR target. For this reason we analyzed the frequency, among our patient population, of VL results based only on LTR detection, the reproducibility of LTR-based HIV-1 viremia results, and the characteristics of patients displaying LTR-based viremia. To identify possible factors associated with this feature. Indeed, these data may have considerable implication in clinical management of HIV-1 infection and could reveal unanticipated pathogenetic scenarios.
Materials and methods
Clinical samples
A total of 14,865 samples from chronically HIV-1 infected patients attending the out-patient care facility at “Lazzaro Spallanzani” Hospital in Rome for routine monitoring of HIV-1 VL, were collected from 3th May 2018 to 2nd May 2019. Samples were obtained from whole-blood collected in EDTA-containing tubes by centrifugation (1,100g for 20 min) directly after arrival at the laboratory and tested in same day or the subsequent day with Aptima.
The study was carried out on residual samples submitted for diagnostic purpose. Ethical clearance was obtained from the Institutional Ethical Committee (Comitato Etico dell’Istituto Nazionale per le Malattie Infettive Lazzaro Spallanzani I.R.C.C.S.), and written informed consent was deemed unnecessary, since all samples were anonymized before testing.
After routine VL measurement, all residual plasma and PBMC samples were stored at -20°C or -80°C for additional investigation. Plasma specimens quantified by Aptima with LTR region were used afterwards (within 1–3 months from withdrawal) to evaluate the inter-assay concordance with other HIV-1 VL assays.
Demographic and clinical characteristics of patients enrolled in this study were analyzed and described in Results.
HIV-1 VL assays
All VL assays were performed according to the manufacturers’ instructions following product inserts [Aptima HIV-1 Quant Dx assay (Aptima) by Hologic, Inc., San Diego, CA; RealTime HIV-1 (RealTime) by Abbott Molecular Inc., Des Plaines, IL; COBAS1 AmpliPrep/COBAS1 TaqMan1 HIV-1 Test, v2.0 (CAP/CTM) by Roche Molecular Diagnostics Inc., Pleasanton, CA]. All assays used in this comparison automatically report VL results in copies/mL according to their respective conversion factor (as declared by the manufacturer).
Aptima was used on the fully automated Panther system. The assay requires a sample volume of 0.7 mL and reports quantitative HIV-1 results in a range of 30 to 10,000,000 copies/mL. The 6.2.3.1 software version, showing both pol- and LTR-based viremia values, was made available by the assay producer. To assess assay reproducibility of HIV-1 VL results when the calculation was based on the LTR signal, 100 consecutive samples falling in this category underwent same day retesting, including 40 samples with <30 copies/mL, 40 samples with 100–200 copies/L and 20 samples with >200 copies/mL.
RealTime was used on the semi-automated m2000 system. It requires a sample volume of 0.8 mL and reports quantitative HIV-1 results in a range of 40 to 10,000,000 copies/mL. This test targets pol (integrase) region.
CAP/CTM was performed on the docked configuration of the Cobas Ampliprep and TaqMan 96 system. The assay requires at least 1.0 mL of specimen to report quantitative HIV-1 RNA results between 20 and 10,000,000 copies/mL. Like Aptima, it is based on dual-target detection of HIV (gag and LTR regions), but for individual samples it does not provide information on the target actually used for quantification.
PBMC-associated total HIV-1 DNA was quantified by in-house real time PCR, targeting LTR region (sensitivity: 10 copies/reaction); an hTERT-targeting in-house real time PCR was used to refer the HIV-1 DNA copies to 106 PBMC [8].
HIV-1 genotypic resistance testing and subtyping
HIV-1 genotyping resistance testing (GRT) was carried out on plasma samples and PBMC-associated HIV-1 DNA with ViroSeq HIV-1 Genotyping System (Abbott Molecular Inc., Des Plaines, IL), targeting the pol region, according to the manufacturers’ instructions.
HIV-1 subtype was established on the basis of HIV-1 pol sequences obtained for baseline GRT testing before ART initiation. These were aligned in BioEdit and compared to reference sequences for major HIV-1 and circulating recombinant forms (CRFs), available on the Los Alamos database [http://www.hiv.lanl.gov]. Subtype classification was confirmed using REGA [http://www.bioafrica.net/rega-genotype/html/subtypinghiv.html] and COMET [http://comet.retrovirology.lu/] subtyping tools. In case of discordant results between the tools, subtype was assigned on the base of RDP4 [http://rdp4.software.informer.com/4.1/] and of phylogenetic analysis, using MEGA6 software [http://www.megasoftware.net/].
Statistical analysis
All data were analyzed using STATA version 15.1 and GraphPad Prism 4. Median values and interquartile ranges (IQR) were used to describe numerical variables, while counts and percentages were employed for qualitative variables. The comparisons between samples with and without detectable HIV-1 RNA in LTR were performed using Chi-square test for categorical variables and Mann-Whitney test for continuous measures. Pearson’s correlation analysis was used to establish the correlation between HIV-1 VL and proviral DNA levels. Two-tailed p-values <0.05 was considered statistically significant.
Covariates included in the analyses were: gender, HIV transmission mode (MSM, heterosexual, IDU), age, nationality (Italian versus non-Italian), years of HIV-1 infection, CD4 (0–350, 351–500, 501–700, >700), CD4/CD8 ratio (either <1 versus ≥1 or median values), HIV-1 RNA (≤50 versus >50 copies/mL), ART regimens. Multivariable logistic regression was used to identify factors independently associated with HIV-1 RNA detected through LTR signal only.
Results
Analysis of VL obtained with Aptima according to the HIV-1 amplified target
Although Aptima exploits dual-target approach to detect and quantify HIV-1 RNA, VL results calculated by the platform software derive from one of the two amplified targets: on a total of 14,865 plasma clinical samples, 13,972 (93.99%) were quantified with pol signal, while 893 (6.01%) were based only on the signal provided by LTR.
Among the specimens whose measurement was based only on LTR, 745 (5.0% of total) exhibited HIV-1 RNA detected below <30 copies/mL and 148 (1.0%) were accurately quantified (mean and min-max VL values: 355 and 30–9182 copies/mL HIV-1 RNA). Most of these samples (n = 95, 0.64% of total samples) were in the range 50–500 copies/mL, while a minority of samples (n = 19, 0.13% of total samples) displayed HIV-1 RNA values >500 copies/mL (Fig 1)
When same day retesting was performed, reproducibility of results showed a gradient, depending on the VL value: 38% of results from samples with VL <30 copies/mL HIV-1 RNA were confirmed; 80% of samples with HIV-1 RNA values in the range of 100–200 copies/mL and virtually 100% of samples with >200 copies/ml provided results consistent with the original measurement.
During the study period, 722 patients displayed VL detected only on the basis of LTR signal in two or more visits: most of them (n = 624; 86.43%) showed one or two VL <50 copies/mL with LTR region, while 69 (9,56%) had one or two VL >50 copies/mL. Eleven patients (1.52%) had three or more confirmed LTR-based values, and 7 of them showed at least one value of viremia >200 copies/mL (mean: 1,914 copies/mL; median: 347 copies/mL HIV-1 RNA).
Linear regression analysis performed on 33 samples, for which LTR-based HIV-1 RNA and proviral DNA were available, indicated significant correlation (r = 0.4654, p = 0.0063) between the two parameters (Fig 2, Panel A). In addition, in a patient for whom multiple longitudinal evaluation had been performed, a parallel kinetics was observed for HIV-1 RNA and proviral HIV-1 DNA (Fig 2, Panel B). Parallel trend of the two virological parameters suggests a close connection between the two compartments.
(A) Correlation between VL levels detected by LTR region and total HIV-1 DNA content measured in PBMC in 33 samples (p = 0.0063; 95% confidence interval of the regression, shown with dashed lines). (B) Kinetics of plasma HIV-1 RNA (blue square symbols) and PBMC-associated total HIV-1 DNA (red triangle symbols) in one representative patient, showing viremia repeatedly detected with LTR target.
Comparison between dual-target Aptima and single-target RealTime assays
Residual plasma of 114 samples with VL detected (<30 copies/mL) or quantified with LTR signal by Aptima were retested with RealTime (LLOD: 40 copies/mL); the results are shown in Table 1. As can be seen, most (n = 91; 79.7%) of the samples detected or quantified with LTR signal by Aptima resulted not detected with RealTime. All but one of the remaining resulted detected <40 copies/mL with RealTime.
Comparison of VL obtained with Aptima and other two assays in patients previously considered virologically suppressed with pol-based single-target procedure
We selected two HIV-infected patients showing multiple VL data repeatedly measured with LTR signal by Aptima. According to previous viremia results obtained with RealTime (steadily <40 copies/mL HIV-1 RNA), these patients had been considered virologically suppressed for 5–10 years. Residual plasma samples from these patients resulting viremic with LTR-quantified HIV-1 RNA underwent further assessment with RealTime and/or CAP/CTM. As shown in Fig 3, in one patient (Panel A), six longitudinal Aptima tests provided HIV-1 VL results, ranging from 1,184 to 9,182 copies/mL. Some of these samples were also tested with RealTime and CAP/CTM, resulting all but one (231 copies/mL), not-detected with RealTime and not-detected with CAP/CTM (although gag- and LTR-based procedure). Unfortunately, it was not possible to re-test the last two samples resulted undetectable with CAP/CTM and the sample quantified by RealTime for insufficient residual sample. It is worth to note that a sample collected in 2015 and resulting at that time with HIV-1 RNA undetectable with RealTime, stored at -80°C and never thawed before, was re-tested with Aptima and showed 1,031 copies/mL based on LTR signal, confirming persistent LTR-based VL dated at least 4 years back the introduction of the Aptima assay in the laboratory. In another patient (Fig 3, Panel B), seven longitudinal Aptima tests provided HIV-1 VL results ranging from 78 to 2,360 copies/mL; CAP/CTM was able to quantify the viremia in 2 of such samples, while all the 5 samples retested with RealTime yielded undetectable HIV-1 VL.
Residual plasma samples quantified with LTR region by Aptima were re-tested with RealTime (n = 4 for patient A and n = 5 for patient B) and CAP/CTM (n = 2 for both patient A and B). Symbols: red square, RealTime result; green triangle, CAP/CTM result; blue diamond, Amtima LTR-based result. Light blue dot line indicates the conventional suppressed viremia, i.e. 50 copies/mL HIV-1 RNA.
Genotypic drug resistance and HIV-1 subtypes in samples with LTR-detected VL
GRT was not successful on HIV-1 RNA plasma samples from patients showing VL results based on LTR signal, due to the lack of PCR amplification of pol region (target region also for this genotyping test), consistent with results of Aptima and RealTime assays. On the contrary, the GRT performed on the proviral DNA from five such patients was successful, revealing the presence of amplifiable pol sequence in at least a subpopulation of archived virus genomes.
Subtype information was available for 92 patients whose VL was based on LTR signal: 58,70% were HIV-1 subtype B (3 of which were B/F), 18.47% were CRFs (n = 5 CRF12_BF; n = 1 CRF28_BF; n = 1 CRF39_BF; n = 2 CRF60_BC; n = 2 CRF31_BC; n = 1 CRF20_BG; n = 1 CRF02_AC; n = 4 CRF02_AG), 7.6% subtype C, 7.6% subtype F, 4.3% subtype A, 3.26% were J/K subtype. A similar distribution of HIV-1 subtypes was observed in the overall HIV-1 infected population referred to our center for therapeutic management, whose VL was based on pol target (Fig 4).
Dark red columns represent the HIV-1 subtype distribution (%) in patients whose viremia was detected with LTR region (n = 92); light grey columns refer to patients whose VL was calculated on the basis of pol signal (n = 1,749).
Patients’ characteristics and factors related to HIV-1 RNA detected with LTR
All the patients whose VL was detected only with LTR were receiving ART at the sampling time. ART had been prescribed for a median of 4.6 years (IQR 1.2–10.3) and HIV-RNA detected with LTR-region by Aptima was <50 copies/mL in 84.5% of cases. The median CD4 and CD8 were 715 cell/mL (IQR 537–874) and 790 cell/mL (IQR 591–1044), respectively; CD4/CD8 ratio was 0.87 (IQR 0.60–1.14). A positive HCV serology was found in 17.4% of patients, HBsAg positivity in 6.5%.
To explore possible factors associated with HIV-1 VL detection based only on LTR signal, a comparison with patients with pol-based VL whose clinical information were available was performed. Due to the transient nature of some of the analyzed parameter, according to the time of VL determination, each parameter included in the analysis refers to the same date of the corresponding VL. On the whole, data from a total of 103 samples from 95 patients measured with LTR-based signal and 2,583 samples from 1,386 patients measured with pol-based signal were included in the univariate and multivariate analysis (Table 2). Males significantly (p = 0.028) predominate in the group of patients with VL detected only with LTR, compared to pol-detected patients. Concerning immunological data, median CD4 count and CD4/CD8 ratio were higher in samples with LTR-based VL (p = <0.001 and p = 0.002, respectively). At multivariable analysis male gender vs female, higher number of CD4 cells (>700 cell/mL vs <350) and dual ART based on one NRTI + either NNRTI or PI/b or INSTI (vs those on 2NRTI+NNRTI) remained independently associated with LTR-detected VL.
Conclusions
This study is the first report specifically addressing the detection/quantification of HIV-1 viremia based only on LTR signal with a dual target assay in samples resulting undetectable with the more conventional target pol. Aptima is a dual-target nucleic acid amplification assay for HIV-1 RNA monitoring during ART. With this assay, we observed 20.02% more samples with VL detected below 40 copies/mL and 19.77% less samples with undetected VL in comparison with the single-target based RealTime assay. This finding can be explained by differences in sensitivity (12 vs 29 copies/mL) [https://www.hologic.com/sites/default/files/package-insert/AW-11853-001_003_01.pdf.; https://www.molecular.abbott/us/en/products/infectious-disease/realtime-hiv-1-viral-load], amplification principle (TMA vs real-time PCR), as well as test design: dual vs single-target detection.
The dichotomy between pol- and LTR-based HIV-1 RNA detection by Aptima in a group of patients, although of reduced size, may be relevant for clinical management, and opens several questions, concerning technical, therapeutic and pathogenetic aspects. The first question is the correlation between VL data obtained with systems based on single or dual-target capture of HIV-1 genome. In numerous studies, optimal correlation between Aptima and RealTime [4–7], or Aptima and CAP/CTM [5, 7] have been observed when results are considered on the whole, consequently the assay results seem interchangeable. Nevertheless, it should be considered that, although quantitative results produced by Aptima are generated by default from the signal provided with pol amplification, LTR signal is used for VL measurement when pol target is absent: in our experience, this has been observed in 6% of samples, consistent with the previously reported rate of discordant results observed when Aptima was compared to a pol single-target assay [6]. This phenomenon, at least for VL values >200 copies/mL, does not appear to be attributable to a laboratory artifact, since in almost 100% of cases re-testing confirmed LTR amplification. In specimens with LTR-detected VL between 30 and 199 copies/mL the subsequent re-test confirmed the presence of the LTR signal in the 62.5% of samples. As expected, re-testing of samples with VL <30 copies/mL (based on LTR signal) confirmed this result in less than 38% of the samples, while the others resulted not-detected.
The second question concerns the effective significance of VL data obtained with LTR region and their implications in clinical management of patients under ART. Indeed, most guidelines and various studies strongly recommend to pay attention to patients showing ≥2 consecutive HIV-1 VL above 200 copies/mL, as this finding may predict an imminent failure of ART, virus evolution and emergence of drug resistance [DHHS. https://aidsinfo.nih.gov/guidelines.html; WHO. https://www.who.int/hiv/pub/arv/arv-2016/en/; EACS. http://www.eacsociety.org/guidelines/eacs-guidelines/eacs-guidelines.html; 1; 9–10]. Recently, also low levels of viremia between 51 and 200 copies/mL have been associated with risk of virologic failure, particularly among ART-experienced patients [11]. In this study, based on the LTR signal, a small number of patients showed a VL result in the range considered at risk of virological failure: almost 1% of HIV-infected patients followed at our institution showed ≥2 VL results above 50 copies/mL (in the range 50–500 copies/mL), of whom about half with at least one VL result >200 copies/mL.
Based on current management of HIV patients, the detection of VL >50copies/mL in patients previously considered virological suppressed, would trigger intensified virological monitoring in view of possible changes in the therapeutic plan. Since, to date, all diagnostic systems for HIV-1 RNA monitoring uses single/double target detection with a unique undifferentiated amplification signal, none of the guidelines has ever taken into consideration the possible differences deriving from different viral genome targets, nor the impact of using double or even multiple target regions.
Now, with the new Aptima assay based on double-target and double differentiated signal for HIV-1 RNA detection, a more complex VL result is generated, which contains additional information as compared to the previous methods, i.e. the target region used to calculate plasma viremia. It is mandatory to address the biological significance of this more complex VL result, to appropriately use this information in the clinical setting. The pol and gag regions of HIV-1 genome are conserved genomic regions, but are also primary targets for ART; hence, these regions are subject to strong selective pressure that could favor the appearance of genomic alterations responsible for the non-detectability of VL. On the other hand, also LTR sequence is strongly conserved [12], since it plays a fundamental role in HIV-1 replication, expression and silencing, being the initiation site of viral transcription. Therefore, VLs detected only on LTR signal in patients considered virologically suppressed with pol- or gag-based assays could not only reveal the presence of alterations at level of pol or gag regions, but could also anticipate the risk of therapy failure, especially in cases where LTR-detected HIV-1 RNA is repeatedly confirmed in consecutive samples and shows parallel kinetics with PBMC-associated proviral HIV-1 DNA. This situation, although observed in a small number of patients, may represent a previously unrecognized clinical condition, patient-specific, that can consequently induce intensification of virological monitoring and timely assessment of drug resistance appearance. It is also possible that the isolated LTR signal reflects specific pathogenetic mechanisms that, in turn, may deserve a targeted therapeutic approach.
The third question concerns the reason of increased size of HIV-1 DNA reservoir observed in some patients with repeated LTR-detected viremia. In this phase of the study, it was not possible to analyze whether this rise depends on clonal expansion of HIV-infected cells or new cycles of viral infection. This point will be addressed in subsequent studies.
The fourth question, still connected to the increase of proviral DNA in PBMC, concerns the nature of viral particles detected through the LTR target, in absence of HIV pol signal. It is known that defective viral particles are present in the circulation of chronically infected individuals [13] and that defective HIV-1 proviruses accumulate rapidly, already during the first weeks of the infection [14]. In addition, the presence of incomplete forms of proviruses encoding translationally competent HIV RNA transcripts in HIV-infected patients under ART has been also described [15]. Therefore, the detection of VL based on LTR signal may reflect transcriptional activity of a defective HIV-1 reservoir able to produce incomplete viral particles. If this hypothesis would be proven, the VL detected with LTR signal could allow the recognition of such as particular patients, virologically suppressed under ART, in which both wild-type viruses suppressed by ART and defective particles revealed by LTR region coexist: in this cases resistance testing and therapeutic regimen switching would not be necessary.
Deep viral characterization of LTR-quantified VL is therefore required and, hopefully, may contribute not only to a better understanding of persistence or occasional appearance of residual viremia during efficient ART, but also to shed light on chronic immune activation status in virologically suppressed patients.
This study has some limitations. Firstly, despite the large number of clinical samples analysed, the size of the LTR-detected HIV-1-infected population is limited, with a prevalence of up to 1% of ART receiving patients. In addition, no similar report is available from other patient populations, so the generalizability of our findings needs to be established. Hence, our findings need to be confirmed in larger clinical studies. Secondly, this study lacks of information on patient medication adherence and concurrent immunological data.
In conclusion, the discrepancy in HIV-1 VL results derived from different target, simultaneously addressed by this modern dual target assay, needs accurate evaluation; unravelling the biological basis of this phenomenon, here described for the first time, is mandatory to establish relevance and implication by both pathogenetic (i.e. infectivity of LTR-detected viruses, reservoir turnover, immune activation, etc.) and clinical standpoint.
Acknowledgments
The authors wish to thank Pierluca Piselli for support in statistical analyses and the technical staff of the INMI Laboratory of Virology (Maria Bloisi, Carla Brega, Stefania Di Filippo, Marco Paterno e Maria Pisciotta).
References
- 1. Williams I, Churchill D, Anderson J, Boffito M, Bower M, Cairns G, et al. British HIV Association guidelines for the treatment of HIV-1-positive adults with antiretroviral therapy. HIV Med. 2014; 15, Suppl. 1:1–85. pmid:24330011
- 2. Wall GR, Perinpanathan D, Clark DA. Comparison of the QIAGEN artus HIV-1 QS-RGQ test with the Roche COBAS AmpliPrep/COBAS TaqMan HIV-1 test v2.0. J. Clin. Virol. 2012; 55(1):62–6. pmid:22739101
- 3. Garcia-Diaz A, Labbett W, Clewley GS, Guerrero-Ramos A, Geretti AM. Comparative evaluation of the Artus HIV-1 QS-RGQ assay and the Abbott RealTime HIV-1 assay for the quantification of HIV-1 RNA in plasma. J. Clin. Virol. 2013; 57(1):66–9. pmid:23369887
- 4. Mor O, Gozlan Y, Wax M, Mileguir F, Rakovsky A, Noy B, et al. Evaluation of the RealTime HIV-1, Xpert HIV-1, and Aptima HIV-1 Quant Dx Assays in Comparison to the NucliSens EasyQ HIV-1 v2.0 Assay for Quantification of HIV-1 Viral Load. J. Clin. Microbiol. 2015; 53(11):3458–65. pmid:26292298
- 5. Schønning K, Johansen K, Landt B, Benfield T, Westh H. Comparison of the Hologic Aptima HIV-1 Quant Dx Assay to the Roche COBAS Ampliprep/COBAS TaqMan HIV-1 Test v2.0 for the quantification of HIV-1 RNA in plasma samples. J. Clin. Virol. 2017; 92:14–19. pmid:28505569
- 6. Amendola A, Pisciotta M, Aleo L, Ferraioli V, Angeletti C, Capobianchi MR. Evaluation of the Aptima® HIV-1 Quant Dx Assay for HIV-1 RNA Viral Load Detection and Quantitation in Plasma of HIV-1 Infected Individuals: a Comparison with Abbott RealTime HIV-1 Assay. J. Medical Virol. 2016; pmid:26864171
- 7. Hopkins M, Hau S, Tiernan C, Papadimitropoulos A, Chawla A, Beloukas A, et al. Comparative performance of the new Aptima HIV-1 Quant Dx assay with three commercial PCR-based HIV-1 RNA quantitation assays. J. Clin. Virol. 2015; 69:56–62. pmid:26209380
- 8. Rozera G, Abbate I, Bruselles A, Bartolini B, D'Offizi G, Nicastri E, et al. Comparison of real-time PCR methods for measurement of HIV-1 proviral DNA. J. Virol. Methods. 2010; 164:135–8. pmid:19963009
- 9. Vardhanabhuti S, Taiwo B, Kuritzkes DR, Eron JJ Jr, Bosch RJ. Phylogenetic evidence of HIV-1 sequence evolution in subjects with persistent low-level viraemia. Antivir Ther. 2015; 20(1):73–6. pmid:24699164
- 10. Li JZ, Gallien S, Do TD, Martin JN, Deeks S, Kuritzkes DR, et al. Prevalence and significance of HIV-1 drug resistance mutations among patients on antiretroviral therapy with detectable low-level viremia. Antimicrob Agents Chemother. 2012; 56(11):5998–6000. pmid:22890763
- 11. Fleming J, Mathews WC, Rutstein RM, Aberg J, Somboonwit C, et al. HIV Research Network. Low-level viremia and virologic failure in persons with HIV infection treated with antiretroviral therapy. AIDS. 2019; 33(13):2005–2012. pmid:31306175
- 12. Van Lint C, Bouchat S, Marcello A. HIV-1 transcription and latency: an update. Retrovirology. 2013; (1):67. pmid:23803414
- 13. Ho YC, Shan L, Hosmane NN, Laskey SB, Rosenbloom DI, Lai J, et al. Replication-competent non-induced proviruses in the latent reservoir increase barrier to HIV-1 cure. Cell. 2013; 24;155(3):540–51. pmid:24243014
- 14. Bruner KM, Murray AJ, Pollack RA, Laskey SB, Capoferri AA, Lai J, et al. Defective proviruses rapidly accumulate during acute HIV-1 infection. Nat. Med. 2016; 22(9):1043–9. pmid:27500724
- 15. 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; 2;113(31):8783–8. pmid:27432972