Evidence map›Paper›PMID 35158408›Full record

ArticleClinical pharmacology and therapeutics2022

Drug Disposition Protein Quantification in Matched Human Jejunum and Liver From Donors With Obesity.

Christine Wegler, Jacek R Wiśniewski, Ida Robertsen, Hege Christensen, Jens Kristoffer Hertel, Jøran Hjelmesaeth, Rasmus Jansson-Löfmark, Anders Åsberg, Tommy B Andersson, Per Artursson

Open access · hybridAbstract read
In one paragraph

Article in Clinical pharmacology and therapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
6.3field-weighted citation impact, top 3% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

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  13. In Vitro to In Vivo Scalars for Drug Clearance in Nonalcoholic Fatty Liver and Steatohepatitis.Drug metabolism and disposition: the biological fate of chemicals · 2024
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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

10 authors at 6 institutions in 3 countries.

Christine WeglerDepartment of Pharmacy, Uppsala University, Uppsala, Sweden.
Jacek R WiśniewskiBiochemical Proteomics Group, Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.
Ida RobertsenDepartment of Pharmacy, Section for Pharmacology and Pharmaceutical Biosciences, University of Oslo, Oslo, Norway.
Hege ChristensenDepartment of Pharmacy, Section for Pharmacology and Pharmaceutical Biosciences, University of Oslo, Oslo, Norway.
Jens Kristoffer HertelMorbid Obesity Centre, Department of Medicine, Vestfold Hospital Trust, Tønsberg, Norway.
Jøran HjelmesaethMorbid Obesity Centre, Department of Medicine, Vestfold Hospital Trust, Tønsberg, Norway.
Rasmus Jansson-LöfmarkDMPK, Research and Early Development Cardiovascular, Renal and Metabolism, BioPharmaceuticals Research and Development, AstraZeneca, Gothenburg, Sweden.
Anders ÅsbergDepartment of Pharmacy, Section for Pharmacology and Pharmaceutical Biosciences, University of Oslo, Oslo, Norway.
Tommy B AnderssonDMPK, Research and Early Development Cardiovascular, Renal and Metabolism, BioPharmaceuticals Research and Development, AstraZeneca, Gothenburg, Sweden.
Per ArturssonDepartment of Pharmacy, Uppsala University, Uppsala, Sweden.
University of Oslo · NOAstraZeneca (Sweden) · SEUppsala University · SEMax Planck Institute of Biochemistry · DEOslo University Hospital · NOSykehuset i Vestfold · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mathematical models, such as physiologically-based pharmacokinetic models, are used to predict, for example, drug disposition and toxicity. However, populations differ in the abundance of proteins involved in these processes. To improve the building and refinement of such models, they must take into account these interindividual variabilities. In this study, we used global proteomics to characterize the protein composition of jejunum and liver from 37 donors with obesity enrolled in the COCKTAIL study. Liver protein levels from the 37 donors were further compared with those from donors without obesity. We quantified thousands of proteins and could present the expression of several drug-metabolizing enzymes, for the first time, in jejunum, many of which belong to the cytochrome P450 (CYP) (e.g., CYP2U1) and the amine oxidase (flavin-containing) (e.g., monoamine oxidase A (MAOA)) families. Although we show that many metabolizing enzymes had greater expression in liver, others had higher expression in jejunum (such as, MAOA and CES2), indicating the role of the small intestine in extrahepatic drug metabolism. We further show that proteins involved in drug disposition are not correlated in the two donor-matched tissues. These proteins also do not correlate with physiological factors such as body mass index, age, and inflammation status in either tissue. Furthermore, the majority of these proteins are not differently expressed in donors with or without obesity. Nonetheless, interindividual differences were considerable, with implications for personalized prediction models and systems pharmacology.

Indexed as

Cytochrome P-450 Enzyme SystemJejunumCytochrome P450 Family 2HumansIntestine, SmallLiverObesityCYP2U1 protein, humanCytochrome P-450 Enzyme SystemCytochrome P450 Family 2

Identifiers

PMID35158408
PMCPMC9310776
OpenAlexW4212907780

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Registered trials

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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.