Evidence map›Paper›PMID 26688545›Full record

ArticleAnalytical chemistry2016

Analysis of Antiretrovirals in Single Hair Strands for Evaluation of Drug Adherence with Infrared-Matrix-Assisted Laser Desorption Electrospray Ionization Mass Spectrometry Imaging.

Elias P Rosen, Corbin G Thompson, Mark T Bokhart, Heather M A Prince, Craig Sykes, David C Muddiman, Angela D M Kashuba

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

25 citing papers in PubMed, 42 citations in OpenAlex.

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  16. The Importance of Clinical Tissue Imaging.Clinical mass spectrometry (Del Mar, Calif.) · 2019
    Article
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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

7 authors at 3 institutions in 1 country.

Elias P RosenEshelman School of Pharmacy, University of North Carolina , Chapel Hill, North Carolina 27599, United States.
Corbin G ThompsonEshelman School of Pharmacy, University of North Carolina , Chapel Hill, North Carolina 27599, United States.
Mark T BokhartW.M. Keck FTMS Laboratory for Human Health Research, Department of Chemistry, North Carolina State University , Raleigh, North Carolina 27695, United States.
Heather M A PrinceSchool of Medicine, University of North Carolina , Chapel Hill, North Carolina 27599, United States.
Craig SykesEshelman School of Pharmacy, University of North Carolina , Chapel Hill, North Carolina 27599, United States.
David C MuddimanW.M. Keck FTMS Laboratory for Human Health Research, Department of Chemistry, North Carolina State University , Raleigh, North Carolina 27695, United States.
Angela D M KashubaEshelman School of Pharmacy, University of North Carolina , Chapel Hill, North Carolina 27599, United States.
University of North Carolina at Chapel Hill · USJohns Hopkins University Center for AIDS ResearchNorth Carolina State University · US

Funding

Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
Using NK Cells to eliminate the latent HIV reservoirU19AI096113 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WOELK, CHRISTOPHER H · 2011 to 2015
$39.5M
Development and Application of New Ionization Methods for Biological Mass SpectrometryR01GM087964 · NIGMS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI MUDDIMAN, DAVID C. · 2010 to 2025
$4.7M
Multi-Species Mechanisms of Drug Bio-distribution in HIV Tissue ReservoirsR01AI111891 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KASHUBA, ANGELA D · 2014 to 2018
$4.3M
NIAID NIH HHS L30 AI126573NIAID NIH HHS P30 AI050410NIAID NIH HHS P30 AI50410NIAID NIH HHS R01 AI111891NIAID NIH HHS R01AI111891NIAID NIH HHS U19 AI096113NIAID NIH HHS U19AI096113NIGMS NIH HHS R01 GM087964NIGMS NIH HHS R01GM087964
6 · The paper itself

Abstract

Adherence to a drug regimen can be a strong predictor of health outcomes, and validated measures of adherence are necessary at all stages of therapy from drug development to prescription. Many of the existing metrics of drug adherence (e.g., self-report, pill counts, blood monitoring) have limitations, and analysis of hair strands has recently emerged as an objective alternative. Traditional methods of hair analysis based on LC-MS/MS (segmenting strands at ≥1 cm length) are not capable of preserving a temporal record of drug intake at higher resolution than approximately 1 month. Here, we evaluated the detectability of HIV antiretrovirals (ARVs) in hair from a range of drug classes using infrared matrix-assisted laser desorption electrospray ionization (IR-MALDESI) mass spectrometry imaging (MSI) with 100 μm resolution. Infrared laser desorption of hair strands was shown to penetrate into the strand cortex, allowing direct measurement by MSI without analyte extraction. Using optimized desorption conditions, a linear correlation between IR-MALDESI ion abundance and LC-MS/MS response was observed for six common ARVs with estimated limits of detection less than or equal to 1.6 ng/mg hair. The distribution of efavirenz (EFV) was then monitored in a series of hair strands collected from HIV infected, virologically suppressed patients. Because of the role hair melanin plays in accumulation of basic drugs (like most ARVs), an MSI method to quantify the melanin biomarker pyrrole-2,3,5-tricarboxylic acid (PTCA) was evaluated as a means of normalizing drug response between patients to develop broadly applicable adherence criteria.

Indexed as

Infrared RaysSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationAnti-Retroviral AgentsHairMolecular StructureOptical ImagingAnti-Retroviral Agents

Identifiers

PMID26688545
PMCPMC5301654
OpenAlexW2260688773

What OpenQuestion holds

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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.