Evidence map›Paper›PMID 30675981›Full record

Trial reportClinical and translational science2019

Predicting Efavirenz Concentrations in the Brain Tissue of HIV-Infected Individuals and Exploring their Relationship to Neurocognitive Impairment.

Nithya Srinivas, Sarah Beth Joseph, Kevin Robertson, Laura P Kincer, Prema Menezes, Lourdes Adamson, Amanda P Schauer, Kimberly H Blake, Nicole White, Craig Sykes and 7 more

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in Clinical and translational science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 48% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

17 authors at 4 institutions in 1 country.

Nithya SrinivasEshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Sarah Beth JosephSchool of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Kevin RobertsonSchool of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Laura P KincerSchool of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Prema MenezesSchool of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Lourdes AdamsonSchool of Medicine, University of California, Davis, California, USA.
Amanda P SchauerEshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Kimberly H BlakeEshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Nicole WhiteEshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Craig SykesEshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Paul LuciwSchool of Medicine, University of California, Davis, California, USA.
Joseph J EronSchool of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Alan Forrest
Richard W PriceDepartment of Neurology, School of Medicine, University of California San Francisco, San Francisco, California, USA.
Serena SpudichDepartment of Neurology, Yale School of Medicine, New Haven, Connecticut, USA.
Ronald SwanstromSchool of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Angela D M KashubaEshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
University of North Carolina at Chapel Hill · USUniversity of California, Davis · USUniversity of California, San Francisco · USYale University · US

Funding

National Institute on Aging (NIA) ColonyP51OD011107 · OD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Simon J. Atkinson · 2012 to 2026
$191.5M
Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
The Manhattan HIV Brain BankU24MH100931 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MORGELLO, SUSAN · 2013 to 2023
$14.0M
Persistent CSF HIV despite successful cART: Viral Tropism, Drug Penetration andP01MH094177 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SWANSTROM, RONALD I · 2011 to 2015
$4.5M
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
Compartmentalized CSF viral escape and the CNS HIV reservoirR01NS094067 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PRICE, RICHARD W. · 2015 to 2020
$3.9M
NCATS NIH HHS UL1 TR001863NIAID NIH HHS P30 AI050410NIAID NIH HHS R01 AI111891NIH HHS P51 OD011107NIMH NIH HHS P01 MH094177NIMH NIH HHS U24 MH100931NINDS NIH HHS R01 NS094067
6 · The paper itself

Abstract

Sparse data exist on the penetration of antiretrovirals into brain tissue. In this work, we present a framework to use efavirenz (EFV) pharmacokinetic (PK) data in plasma, cerebrospinal fluid (CSF), and brain tissue of eight rhesus macaques to predict brain tissue concentrations in HIV-infected individuals. We then perform exposure-response analysis with the model-predicted EFV area under the concentration-time curve (AUC) and neurocognitive scores collected from a group of 24 HIV-infected participants. Adult rhesus macaques were dosed daily with 200 mg EFV (as part of a four-drug regimen) for 10 days. Plasma was collected at 8 time points over 10 days and at necropsy, whereas CSF and brain tissue were collected at necropsy. In the clinical study, data were obtained from one paired plasma and CSF sample of participants prescribed EFV, and neuropsychological test evaluations were administered across 15 domains. PK modeling was performed using ADAPT version 5.0 Biomedical Simulation Resource, Los Angeles, CA) with the iterative two-stage estimation method. An eight-compartment model best described EFV distribution across the plasma, CSF, and brain tissue of rhesus macaques and humans. Model-predicted median brain tissue concentrations in humans were 31 and 8,000 ng/mL, respectively. Model-predicted brain tissue AUC was highly correlated with plasma AUC (γ = 0.99, P < 0.001) but not CSF AUC (γ = 0.34, P = 0.1) and did not show any relationship with neurocognitive scores (γ < 0.05, P > 0.05). This analysis provides an approach to estimate PK the brain tissue in order to perform PK/pharmacodynamic analyses at the target site.

Indexed as

AdultAlkynesAnimalsBenzoxazinesBrainCognition DisordersCyclopropanesFemaleHIV InfectionsHumansMacaca mulattaMaleMiddle AgedYoung AdultAlkynesBenzoxazinesCyclopropanesefavirenz

Identifiers

PMID30675981
PMCPMC6510381
OpenAlexW2914813565

What OpenQuestion holds

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LicenceCC BY-NC
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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.