Evidence map›Paper›PMID 32970864›Full record

ArticleClinical pharmacology and therapeutics2021

Proteomics-Informed Prediction of Rosuvastatin Plasma Profiles in Patients With a Wide Range of Body Weight.

Christine Wegler, Luna Prieto Garcia, Signe Klinting, Ida Robertsen, Jacek R Wiśniewski, Jøran Hjelmesaeth, Anders Åsberg, Rasmus Jansson-Löfmark, Tommy B Andersson, Per Artursson

Open access · hybridAbstract 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 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 16% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 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

10 authors at 6 institutions in 3 countries.

Christine WeglerDepartment of Pharmacy, Uppsala University, Uppsala, Sweden.
Luna Prieto GarciaDMPK, Research and Early Development Cardiovascular, Renal and Metabolism, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
Signe KlintingDepartment of Pharmacy, Uppsala University, Uppsala, Sweden.
Ida RobertsenDepartment of Pharmacy, University of Oslo, Oslo, Norway.
Jacek R WiśniewskiBiochemical Proteomics Group, Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.
Jøran HjelmesaethMorbid Obesity Centre, Department of Medicine, Vestfold Hospital Trust, Tønsberg, Norway.
Anders ÅsbergDepartment of Pharmacy, University of Oslo, Oslo, Norway.
Rasmus Jansson-LöfmarkDMPK, Research and Early Development Cardiovascular, Renal and Metabolism, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
Tommy B AnderssonDMPK, Research and Early Development Cardiovascular, Renal and Metabolism, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
Per ArturssonDepartment of Pharmacy and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
AstraZeneca (Sweden) · SEUniversity of Oslo · NOUppsala University · SEMax Planck Institute of Biochemistry · DEScience for Life Laboratory · SESykehuset i Vestfold · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rosuvastatin is a frequently used probe to study transporter-mediated hepatic uptake. Pharmacokinetic models have therefore been developed to predict transporter impact on rosuvastatin disposition in vivo. However, the interindividual differences in transporter concentrations were not considered in these models, and the predicted transporter impact was compared with historical in vivo data. In this study, we investigated the influence of interindividual transporter concentrations on the hepatic uptake clearance of rosuvastatin in 54 patients covering a wide range of body weight. The 54 patients were given an oral dose of rosuvastatin the day before undergoing gastric bypass or cholecystectomy, and pharmacokinetic (PK) parameters were established from each patient's individual time-concentration profiles. Liver biopsies were sampled from each patient and their individual hepatic transporter concentrations were quantified. We combined the transporter concentrations with in vitro uptake kinetics determined in HEK293-transfected cells, and developed a semimechanistic model with a bottom-up approach to predict the plasma concentration profiles of the single dose of rosuvastatin in each patient. The predicted PK parameters were evaluated against the measured in vivo plasma PKs from the same 54 patients. The developed model predicted the rosuvastatin PKs within two-fold error for rosuvastatin area under the plasma concentration versus time curve (AUC; 78% of the patients; average fold error (AFE): 0.96), peak plasma concentration (C

Indexed as

Body WeightProteomicsAdministration, OralAdultFemaleHEK293 CellsHumansHydroxymethylglutaryl-CoA Reductase InhibitorsLiverLiver-Specific Organic Anion Transporter 1MaleMiddle AgedModels, BiologicalPharmacogenomic VariantsPolymorphism, Single NucleotideRosuvastatin CalciumHydroxymethylglutaryl-CoA Reductase InhibitorsLiver-Specific Organic Anion Transporter 1Rosuvastatin CalciumSLCO1B1 protein, human

Identifiers

PMID32970864
PMCPMC7984432
OpenAlexW3088454290

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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.