Abstract
Background:
Current pharmacologic adherence monitoring for antiretrovirals involves expensive, labor-intensive liquid-chromatography/tandem-mass-spectrometry (LC-MS/MS)-based methods. Antibody-based assays can monitor and support adherence in real-time. We developed a tenofovir (TFV)-based immunoassay and further validated it in a directly-observed-therapy (DOT) study.
Design:
Pharmacologic DOT study of TFV disoproxil fumarate (TDF)/emtricitabine (FTC) administered to HIV-noninfected volunteers
Methods:
The TARGET study provided directly-observed TDF 300mg/FTC 200mg 7 (high adherence), 4 (moderate) and 2 doses/week (low) to 30 volunteers (10/group) in Thailand, collecting a total of 637 urine samples over 6-weeks of administration and during wash-out. ELISA measured urine TFV levels by the immunoassay and LC-MS/MS-based concentrations served as the gold-standard. A mixed-effects regression model evaluated cut-offs for a point-of-care (POC) assay. Performance characteristics of the immunoassay were compared to LC-MS/MS at a chosen cut-off.
Results:
Median TFV levels were 12,000ng/mL by the immunoassay 1-day after dosing; 5000ng/mL 2-days after dosing; 1500ng/mL 3-days after dosing and below the lower-limit-of-quantification (LLOQ) thereafter (≥4 days). An immunoassay cut-off of 1500ng/mL accurately classified 98% of patients who took a dose 24 hours ago as adherent. The specificity and sensitivity of the immunoassay compared to LC-MS/MS at the 1500ng/mL cut-off were 99% and 94%; the correlation between TFV levels by the two assays was high (0.92, p<0.00001).
Conclusions:
We have developed a novel TFV immunoassay that is highly specific, sensitive and correlates strongly with LC-MS/MS measurements in a large DOT study. Adherence benchmarks from this DOT study will guide the development of a low-cost rapid POC test for PrEP and ART adherence monitoring and interventions.
Keywords: Antiretroviral treatment, PrEP, adherence, tenofovir, immunoassay, antibody, real-time, point-of-care, urine, test characteristics
INTRODUCTION
Given the limitations of self-reported adherence, pharmacologic adherence measures were critical to interpreting the results of the pre-exposure prophylaxis (PrEP) trials.1 Objective metrics of adherence are therefore being incorporated into PrEP implementation and roll-out programs. Furthermore, in the context of antiretroviral treatment (ART), there is increasing interest in objective adherence monitoring, if it can be performed quickly and economically, to avert virologic resistance and the need for second or third-line regimens.2 A major limitation of currently available pharmacologic metrics in plasma,3 hair,4,5 peripheral blood mononuclear cells (PBMCs),6 dried blood spots (DBS)7 or urine,8,9 however, is that they all require liquid chromatography/tandem mass spectrometry (LC-MS/MS), which is expensive and labor intensive. A low-cost easy-to-perform point-of-care (POC) monitoring tool to quantify tenofovir (TFV) levels would allow for real-time assessment of both PrEP and TFV-based ART adherence, allowing immediate intervention.10
Antibody-based tests for drug detection or quantification, when packaged into lateral flow immunoassays (LFA), are easily implemented by non-trained healthcare personnel at the POC. We previously reported on the development of a specific and sensitive antibody-based (immunoassay) for TFV that was tested in a small sample of volunteers provided daily TDF/FTC for 7 days.11 Appropriate cut-offs for pharmacologic measures are traditionally established in directly-observed therapy (DOT) studies where drug is administered to healthy volunteers to simulate different patterns of adherence. DOT studies have been conducted for all the other TFV-based adherence metrics, specifically for TFV levels in plasma3 and hair,4 and TFV-diphosphate (TFV-DP) levels in PBMCs3 and DBS,7 allowing other studies to interpret adherence from these metrics.12–16 Shorter-term measures (in plasma, urine) qualify adherence as yes/no at a certain cut-off17–20 whereas longer-term measures (in hair,4 DBS7) can provide adherence benchmarks to patterns of drug-taking.12,16 The objective of this study was to leverage a large, completed DOT study conducted among HIV-noninfected volunteers administered TDF/FTC under different dosing conditions to determine an appropriate interpretative cut-off for a urine-based assay for the first time, further advancing a POC adherence assay. Once deployed, a low-cost real-time adherence monitoring test will be a significant breakthrough for both HIV treatment and prevention monitoring worldwide.
METHODS:
Study population:
This study leverages samples from TARGET, a DOT randomized, open-label, clinical pharmacokinetic study of TDF/FTC in Thailand.21 In TARGET, healthy participants were randomized (1:1:1) to one of three groups (10 participants each, total n=30) to receive directly-observed doses of TDF 300mg/FTC 200mg for 6 weeks: Participants in Group 1 received TDF/FTC once daily (“high adherence”); Group 2 received TDF/FTC 4 times/week (“moderate adherence”); and Group 3 received TDF/FTC 2 times/week (“low adherence”). Participants underwent direct observation of dosing Monday through Friday; drug ingestion on weekends was monitored by video/picture calls. Urine samples were collected and stored during 6 weeks of treatment administration and over 4 weeks of wash-out.
The study was approved by Ethics Committees at the Institute for the Development of Human Research Protections at the Medical Sciences Department, Thai Ministry of Public Health; Sanpatong Hospital; and the University of Washington. The study was registered with ClinicalTrials.gov (#NCT0301260).
Laboratory methods:
Urine samples collected in TARGET were aliquoted for measurement by both LC-MS/MS and the immunoassay. Since TFV concentrates in urine,22,23 and to compare TFV levels with those in the literature,8 we diluted the urine samples 1:1000 prior to analysis. For the LC-MS/MS-based method, TFV was separated via reverse-phase high-performance liquid chromatography (LC) and quantified by tandem-mass-spectrometry (MS/MS) using electrospray positive ionization in multiple reaction monitoring mode (TFV, 287.9/175.9 (Q1/Q3)). The lower limit of quantification (LLOQ) of the LC-MS/MS-based assay was 500 nanograms (ng)/milliliter (mL). For the ELISA-based immunoassay, working solutions of TFV of known concentrations were prepared. Calibrators or different concentrations of TFV were incubated on a microtiter plate with the hapten to generate a dose response curve. An ELISA plate reader extrapolated the concentration of TFV in the unknown specimen based on the calibration curve. The LLOQ for the ELISA-based immunoassay was 1,000 ng/mL.
Statistical analysis:
To predict probabilities of being below different cut-offs of urine TFV levels for the POC assay, a mixed-effects interval regression model was used with log urine-immunoassay concentration as the dependent variable and days since the last dose as the independent variable. Our analysis was restricted to spot urine samples obtained after one week of administration, to simulate urine collection at a clinic visit after TDF/FTC-based PrEP or ART has been started. Since food effects on TDF pharmacokinetics are minimal, food intake was not considered in the models.24 The probabilities of being below a given cut-off at any time since the last dose were calculated from the model using the estimated mean, person-to-person variation, and residual variation. Based on participant feedback from prior studies that poor specificity tests were distressing,25,26 we focused on finding a cut-off with high specificity for dosing within 24 hours that still permitted adequate sensitivity for non-adherence. Because any dichotomization of time since last dose would gloss over some important distinctions, and because there were repeated measurements on the same individuals, we did not examine a simple ROC curve.
Once we determined an appropriate cut-off, we calculated the sensitivity and specificity of the immunoassay compared to LC-MS/MS by cross-tabulating TFV levels above this cut-off vs below this cut-off by the two different assays. We also calculated the Spearman correlation between TFV levels generated by the two assays, using results from all urine samples in TARGET and then restricting the calculation to urine samples with detectable drug by both assays. Finally, agreement between urine TFV levels positive both by the immunoassay and LC-MS/MS was calculated using Bland-Altman methods.27
RESULTS:
Study sample and TFV concentrations in urine after dosing:
The total number of urine samples collected in TARGET among 30 participants was 637, averaging 21 samples per participant. All 637 samples were split and TFV concentrations in each were quantified by the ELISA-immunoassay and via LC-MS/MS.
The number of participants providing urine samples 1, 2, 3, 4, 5, 6 and 7 days after last dose was 30, 58, 28, 55, 28, 22 and 28, respectively. Among participants in all three adherence groups, median TFV levels in urine by the immunoassay were 12,000 ng/mL (IQR 7500–25,000) one day after dosing; 5000 ng/mL (IQR 2500–8000) two days after dosing; 1500 ng/mL (IQR 500–2750) three days after dosing and below the immunoassay’s LLOQ thereafter (≥4 days).
Modeling potential interpretive cut-offs for the POC immunoassay
Figure 1 shows the estimated probability of the urine TFV level via the immunoassay to be below an array of different candidate cut-off values based on hours since the last witnessed TDF/FTC dose. Based on these probabilities, we chose 1500ng/ml as the cut-off for the POC assay in order to optimize specificity (i.e. to avoid incorrectly classifying individuals who had taken a dose within 24 hours), while also allowing high sensitivity for non-adherence at 96 hours. Specifically, 86% of individuals who took their last dose exactly 96 hours (4 days) ago would be correctly classified as “nonadherent”, with only 2% of individuals who dosed exactly 24 hours ago misclassified as nonadherent.
Performance characteristics at the determined cut-off value:
As shown in Figure 2, among the 344 TFV-negative samples by LC-MS/MS (≤1500ng/mL), 340 were also negative by the ELISA immunoassay, indicating 99% specificity of the immunoassay at this cut-off. Of the 293 TFV-positive samples by LC-MS/MS (>1500ng/ml), 274 were also positive by the immunoassay, indicating 94% sensitivity at this cut-off.
The correlation between TFV levels generated by the two assays, using results from all 637 urine samples, was 0.92 (p <0.00001). Restricting the analysis only to samples that had detectable drug in both assays (n=274), the correlation was 0.89 (p<0.00001). The Bland-Altman analysis of the average relative difference between log-transformed values in samples positive by both assays suggests that 95% of immunoassay values would fall within 70% below and 98% above the LC-MS/MS value.27
DISCUSSION:
This study significantly advances an antibody-based test for TFV quantification by providing the appropriate adherence cut-off for the lateral flow immunoassay, which will allow for point-of-care testing. The results from this study will allow for packaging and deployment of this low-cost real-time adherence monitoring tool in the next few months, significantly advancing HIV treatment and prevention monitoring worldwide. In this study, leveraging a large DOT study where urine samples were collected from HIV-noninfected volunteers administered TDF/FTC under DOT conditions at 2, 4 and 7 doses a week, we determined an appropriate cut-off for the POC urine immunoassay (<1500ng/ml) and showed that our immunoassay had excellent performance characteristics at this cut-off (99% specificity, 94% sensitivity) when compared to LC-MS/MS.
Although other studies have employed drug level monitoring to trigger adherence interventions in PrEP9,28,29 and ART,30 no truly POC metric of adherence has yet been developed or deployed. Qualitative data, however, can inform how such a test should be designed in terms of its ability to classify patients as adherent or nonadherent. In the VOICE PrEP trial, at least 50% of women on active drug had undetectable TFV in all plasma tested,25 but over-reported adherence.31 When participants were provided their plasma TFV level data retrospectively, qualitative interviews revealed that the most important feature of a real-time test would be its specificity, e.g. minimizing the chance that one would be told they were non-adherent when taking the drug.25 Qualitative work in the dapivirine ring trial (MTN-025/HOPE) verified that accuracy of a real-time adherence test was of utmost importance and test scores that showed low adherence in the face of self-reported consistent use were particularly upsetting to participants.26 We therefore chose a cut-off for our TFV-immunoassay that would optimize specificity. Our modeling indicated that the risk of significant misclassification was low at a TFV concentration of 1500 ng/mL by the immunoassay. A patient who has taken a TDF/FTC dose 24 hours ago has a 98% probability of the test being positive at this cut-off and the probability of the test remaining positive if the last dose was taken 4 days ago is low (14%). Our group expects to initially package this POC urine assay into a rapid strip test using a 1500 ng/mL cut-off within the next few months. This test will be low cost (<$2 per test) and easy to implement in the field by non-trained personnel.
At this cut-off, our antibody-based TFV immunoassay was highly specific (99%) and sensitive (94%) compared to LC-MS/MS. The immunoassay estimates TFV levels in urine that correlate strongly with those measured via the gold standard of LC-MS/MS (r=0.92) in 637 urine samples from the TARGET study.21 To ensure that the correlation calculation would not be inflated by inclusion of specimens without drug, we repeated the correlation analysis in the subset of samples where drug was detected in both assays (n=274) and it remained high (r=0.89). This antibody-based test is therefore highly suitable for packaging into a POC assay.
Urine and plasma levels of TFV are short-term metrics of adherence (half life in plasma ~17 hours32) and the limitations of any short-term metric is the susceptibility to “white coat adherence,” where adherence improves transiently before a visit.33 Despite theoretical concern, this phenomenon has not yet been observed in PrEP. Indeed, plasma levels of TFV/FTC served as the primary adherence metric in every one of the placebo-controlled trials of PrEP.6,17,19,20,34–37 Our group found evidence against substantial white-coat adherence when examining a combination of hair and plasma adherence metrics in the VOICE trial.38 Nonetheless, combining short and long-term metrics of adherence (such as TFV levels in urine and hair) in studies may help unravel patterns of adherence. Moreover, unannounced urine assays can circumvent white-coat patterns. Finally, although this assay is expected to measure adherence in the context of tenofovir alafenamide (TAF), since the same metabolite (TFV) concentrates in the urine,8,23 further study is needed before determining appropriate cut-offs for this immunoassay with TAF.
In conclusion, we have further validated and determined an appropriate cut-off for a POC TFV-based immunoassay in urine. A TFV urine-based immunoassay will be able to monitor adherence both to PrEP and to ART. A POC metric to determine adherence in real-time has the potential to both motivate adherence by providing immediate adherence feedback to patients16,25,39–49 and trigger rapid intervention to improve outcomes.10,11,28 Further study of this tool to assess its impact on optimizing the effectiveness of HIV treatment and prevention in diverse populations is warranted.
AKNOWLEDGEMENTS:
We wish to thank the participants of the TARGET study and their families. Funding for this work and the development of the antibody at Alere Rapid Diagnostics was provided by the National Institute of Allergy and Infectious Diseases/ National Institutes of Health (NIAID/NIH) R01AI143340 (P.I. Gandhi). Three authors (WCR, GW, MV) as indicated on the title page are from Alere Rapid Diagnostics company. Further funding from this work came from NIAID/NIH 2RO1AI098472 (P.I. Gandhi); R21AI127200 and R01AI136648 (P.I. Drain). M.A.S. was supported by T32AI060530 (P.I. Havlir).
Conflicts of Interest and Sources of Funding: Dr. Monica Gandhi is currently receiving two grants from the NIH supporting this work, including the development of the antibody at Alere Rapid Diagnostics (R01AI143340 and 2RO1AI098472. Dr. Darin is receiving two grants from the NIH that helped support this work (R21AI127200 and R01AI136648). Mr. Vincent, Dr. Wang and Mr. Rodrigues are all employed by Alere Rapid Diagnostics. For the remaining authors none were declared.
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