Evidence map›Paper›PMID 34428046›Full record

ArticleMolecular pharmaceutics2021

Non-uniformity of Changes in Drug-Metabolizing Enzymes and Transporters in Liver Cirrhosis: Implications for Drug Dosage Adjustment.

Eman El-Khateeb, Brahim Achour, Zubida M Al-Majdoub, Jill Barber, Amin Rostami-Hodjegan

Open access · hybridAbstract read
In one paragraph

Article in Molecular pharmaceutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
7.4field-weighted citation impact, top 2% 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

46 citing papers in PubMed, 65 citations in OpenAlex.

  1. Article
  2. Mutant-Selective Binding ofInternational journal of molecular sciences · 2026
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  3. Proteomic profiling of metabolizing enzymes and transporters in 2 layers of Caucasian human skin.Drug metabolism and disposition: the biological fate of chemicals · 2026
    Article
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  17. New Insights Into Hepatic Impairment (HI) Trials.Clinical and translational science · 2025
    Review
  18. Article
  19. Article
  20. 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

5 authors at 2 institutions in 2 countries.

Eman El-KhateebCentre for Applied Pharmacokinetic Research, University of Manchester, Manchester M13 9PT, U.K.ORCID 0000-0002-8365-6528
Brahim AchourCentre for Applied Pharmacokinetic Research, University of Manchester, Manchester M13 9PT, U.K.ORCID 0000-0002-2595-5626
Zubida M Al-MajdoubCentre for Applied Pharmacokinetic Research, University of Manchester, Manchester M13 9PT, U.K.ORCID 0000-0002-1497-3140
Jill BarberCentre for Applied Pharmacokinetic Research, University of Manchester, Manchester M13 9PT, U.K.
Amin Rostami-HodjeganCentre for Applied Pharmacokinetic Research, University of Manchester, Manchester M13 9PT, U.K.
University of Manchester · GBTanta University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver cirrhosis is a chronic disease that affects the liver structure, protein expression, and overall metabolic function. Abundance data for drug-metabolizing enzymes and transporters (DMET) across all stages of disease severity are scarce. Levels of these proteins are crucial for the accurate prediction of drug clearance in hepatically impaired patients using physiologically based pharmacokinetic (PBPK) models, which can be used to guide the selection of more precise dosing. This study aimed to experimentally quantify these proteins in human liver samples and assess how they can impact the predictive performance of the PBPK models. We determined the absolute abundance of 51 DMET proteins in human liver microsomes across the three degrees of cirrhosis severity (

Indexed as

Dose-Response Relationship, DrugModels, BiologicalAdultAgedAged, 80 and overCase-Control StudiesFemaleHepatobiliary EliminationHumansLiverLiver CirrhosisMaleMicrosomes, LiverMiddle AgedProteomicsSeverity of Illness Indexcirrhosisenzymeshepatic impairmentPBPKquantitative proteomicstransporters

Identifiers

PMID34428046
PMCPMC8424631
OpenAlexW3196283962

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.