Evidence map›Paper›PMID 32248685›Full record

ArticleACS sensors2020

Enzymatic Assay for Rapid Measurement of Antiretroviral Drug Levels.

Ayokunle O Olanrewaju, Benjamin P Sullivan, Jane Y Zhang, Andrew T Bender, Derin Sevenler, Tiffany J Lo, Marta Fernandez-Suarez, Paul K Drain, Jonathan D Posner

Open access · greenAbstract read
In one paragraph

Article in ACS sensors, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.3field-weighted citation impact, top 32% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 16 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Ayokunle O OlanrewajuDepartment of Mechanical Engineering, University of Washington, Seattle, Washington 98195, United States.ORCID 0000-0003-4776-1774
Benjamin P SullivanDepartment of Mechanical Engineering, University of Washington, Seattle, Washington 98195, United States.
Jane Y ZhangDepartment of Mechanical Engineering, University of Washington, Seattle, Washington 98195, United States.
Andrew T BenderDepartment of Mechanical Engineering, University of Washington, Seattle, Washington 98195, United States.ORCID 0000-0003-4349-4488
Derin SevenlerCenter for Engineering in Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, United States.ORCID 0000-0002-0327-5638
Tiffany J LoDepartment of Materials Science & Engineering, University of Washington, Seattle, Washington 98195, United States.
Marta Fernandez-SuarezIndependent Consultant, Boulder, Colorado 80305, United States.
Paul K DrainDepartment of Epidemiology, University of Washington, Seattle, Washington 98195, United States.
Jonathan D PosnerDepartment of Mechanical Engineering, University of Washington, Seattle, Washington 98195, United States.
University of Washington · USHarvard University · US

Funding

University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI EDWIN ROBERTO ORELLANA · 1988 to 2026
$104.9M
A novel REverSe Transcriptase Chain Termination (RESTRICT) assay for near-patient, objective monitoring of long-term PrEP adherenceR01AI157756 · NIAID · UNIVERSITY OF WASHINGTON · PI DRAIN, PAUL K, POSNER, JONATHAN D · 2021 to 2025
$3.8M
A Rapid Point-of-Care Test to Improve ART and PrEP AdherenceR01AI136648 · NIAID · UNIVERSITY OF WASHINGTON · PI DRAIN, PAUL K · 2018 to 2020
$2.3M
Electrokinetic paper diagnostic platform: 15-minute, quantitative nucleic acidamplification for viral pathogens in whole bloodR01EB022630 · NIBIB · UNIVERSITY OF WASHINGTON · PI POSNER, JONATHAN D · 2017 to 2020
$2.2M
A Point-of-Care Assay to Measure Tenofovir for Monitoring PrEP and ART AdherenceR21AI127200 · NIAID · UNIVERSITY OF WASHINGTON · PI DRAIN, PAUL K · 2016 to 2017
$396k
NIAID NIH HHS P30 AI027757NIAID NIH HHS R01 AI136648NIAID NIH HHS R01 AI157756NIAID NIH HHS R21 AI127200NIBIB NIH HHS R01 EB022630
6 · The paper itself

Abstract

Poor adherence to pre-exposure prophylaxis (PrEP) and antiretroviral therapy (ART) can lead to human immunodeficiency virus (HIV) acquisition and emergence of drug-resistant infections, respectively. Measurement of antiviral drug levels provides objective adherence information that may help prevent adverse health outcomes. Gold-standard drug-level measurement by liquid chromatography/mass spectrometry is centralized, heavily instrumented, and expensive and is thus unsuitable and unavailable for routine use in clinical settings. We developed the REverSe TRanscrIptase Chain Termination (RESTRICT) assay as a rapid and accessible measurement of drug levels indicative of long-term adherence to PrEP and ART. The assay uses designer single-stranded DNA templates and intercalating fluorescent dyes to measure complementary DNA (cDNA) formation by reverse transcriptase in the presence of nucleotide reverse transcriptase inhibitor drugs. We optimized the RESTRICT assay using aqueous solutions of tenofovir diphosphate (TFV-DP), a metabolite that indicates long-term adherence to ART and PrEP, at concentrations over 2 orders of magnitude above and below the clinically relevant range. We used dilution in water as a simple sample preparation strategy to detect TFV-DP spiked into whole blood and accurately distinguished TFV-DP drug levels corresponding to low and high PrEP adherences. The RESTRICT assay is a fast and accessible test that could be useful for patients and clinicians to measure and improve ART and PrEP adherence.

Indexed as

Anti-Retroviral AgentsEnzyme AssaysHIV InfectionsHumansAnti-Retroviral Agentsadherenceantiretroviraldrug-level measurementenzymatic assayhuman immunodeficiency virus (HIV)pre-exposure prophylaxis (PrEP)

Identifiers

PMID32248685
PMCPMC7183420
OpenAlexW3015172553

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.