Evidence map›Paper›PMID 32897538›Full record

ArticleClinical pharmacology and therapeutics2021

Physiologically-Based Pharmacokinetic Model of Morphine and Morphine-3-Glucuronide in Nonalcoholic Steatohepatitis.

Noora Sjöstedt, Sibylle Neuhoff, Kim L R Brouwer

Open access · greenAbstract read
In one paragraph

Article in Clinical pharmacology and therapeutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 23 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

3 authors at 2 institutions in 2 countries.

Noora SjöstedtDivision of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0001-6960-7757
Sibylle NeuhoffSimcyp-Division, Certara UK Ltd., Sheffield, UK.ORCID 0000-0001-8809-1960
Kim L R BrouwerDivision of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0003-1945-4929
University of North Carolina at Chapel Hill · USSimcyp (United Kingdom) · GB

Funding

Mechanisms of Altered Hepatic Transport: Impact on Drug TherapyR35GM122576 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KIM L.R. BROUWER · 2017 to 2026
$5.7M
NIGMS NIH HHS R35 GM122576
6 · The paper itself

Abstract

Nonalcoholic steatohepatitis (NASH), the progressive form of nonalcoholic fatty liver disease, is increasing in prevalence. NASH-related alterations in hepatic protein expression (e.g., transporters) and in overall physiology may affect drug exposure by altering drug disposition and elimination. The aim of this study was to build a physiologically-based pharmacokinetic (PBPK) model to predict drug exposure in NASH by incorporating NASH-related changes in hepatic transporters. Morphine and morphine-3-glucuronide (M3G) were used as model compounds. A PBPK model of morphine with permeability-limited hepatic disposition was extended to include M3G disposition and enterohepatic recycling (EHR). The model captured the area under the plasma concentration-time curve (AUC) of morphine and M3G after intravenous morphine administration within 0.82-fold and 1.94-fold of observed values from 3 independent clinical studies for healthy adult subjects (6, 10, and 14 individuals). When NASH-related changes in multidrug resistance-associated protein 2 (MRP2) and MRP3 were incorporated into the model, the predicted M3G mean AUC in NASH was 1.34-fold higher compared to healthy subjects, which is slightly lower than the observed value (1.63-fold). Exploratory simulations on other physiological changes occurring in NASH (e.g., moderate decreases in glomerular filtration rate and portal vein blood flow) revealed that the effect of transporter changes was most prominent. Additionally, NASH-related transporter changes resulted in decreased morphine EHR, which could be important for drugs with extensive EHR. This study is an important first step to predict drug disposition in complex diseases such as NASH using PBPK modeling.

Indexed as

Models, BiologicalAdministration, IntravenousAnalgesics, OpioidATP-Binding Cassette, Sub-Family C ProteinsCase-Control StudiesComputer SimulationHumansLiverMetabolic Detoxication, Phase IIMorphine DerivativesMultidrug Resistance-Associated Protein 2Non-alcoholic Fatty Liver DiseaseABCC2 protein, humanAnalgesics, OpioidATP-Binding Cassette, Sub-Family C Proteinsmorphine-3-glucuronideMorphine DerivativesMultidrug Resistance-Associated Protein 2multidrug resistance-associated protein 3

Identifiers

PMID32897538
PMCPMC7902445
OpenAlexW3084399522

What OpenQuestion holds

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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.