Evidence map›Paper›PMID 31273226›Full record

ArticleScientific reports2019

A repository of protein abundance data of drug metabolizing enzymes and transporters for applications in physiologically based pharmacokinetic (PBPK) modelling and simulation.

Mayur K Ladumor, Aarzoo Thakur, Sheena Sharma, Aravind Rachapally, Sarang Mishra, Priyanka Bobe, V Kameswara Rao, Praneetha Pammi, Hari Kangne, David Levi and 6 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
7.2field-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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

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  15. Recent advances in the ontogeny of drug disposition.British journal of clinical pharmacology · 2022
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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

16 authors at 4 institutions in 2 countries.

Mayur K LadumorDepartment of Pharmaceutical Analysis, NIPER, S.A.S. Nagar, Punjab, 160062, India.ORCID http://orcid.org/0000-0003-2632-8525
Aarzoo ThakurDepartment of Pharmaceutical Analysis, NIPER, S.A.S. Nagar, Punjab, 160062, India.
Sheena SharmaDepartment of Pharmaceutical Analysis, NIPER, S.A.S. Nagar, Punjab, 160062, India.
Aravind RachapallyDepartment of Pharmaceutical Analysis, NIPER, S.A.S. Nagar, Punjab, 160062, India.
Sarang MishraDepartment of Pharmaceutical Analysis, NIPER, S.A.S. Nagar, Punjab, 160062, India.
Priyanka BobeDepartment of Pharmaceutical Analysis, NIPER, S.A.S. Nagar, Punjab, 160062, India.
V Kameswara RaoDepartment of Pharmaceutical Analysis, NIPER, S.A.S. Nagar, Punjab, 160062, India.
Praneetha PammiDepartment of Pharmaceutical Analysis, NIPER, S.A.S. Nagar, Punjab, 160062, India.
Hari KangneDepartment of Pharmaceutical Analysis, NIPER, S.A.S. Nagar, Punjab, 160062, India.
David LeviDepartment of Pharmaceutical Analysis, NIPER, S.A.S. Nagar, Punjab, 160062, India.
Ankit BalharaDepartment of Pharmaceutical Analysis, NIPER, S.A.S. Nagar, Punjab, 160062, India.
Sriram GhandikotaDepartment of Pharmaceutical Analysis, NIPER, S.A.S. Nagar, Punjab, 160062, India.
Anupama JoshiDepartment of Pharmaceutical Analysis, NIPER, S.A.S. Nagar, Punjab, 160062, India.
Vivek NautiyalIndian Institute of Technology Kharagpur, Kharagpur, West Bengal, 721302, India.ORCID http://orcid.org/0000-0002-5837-3390
Bhagwat PrasadDepartment of Pharmaceutics, University of Washington, Seattle, Washington, 98195, USA. bhagwat@uw.edu.
Saranjit SinghDepartment of Pharmaceutical Analysis, NIPER, S.A.S. Nagar, Punjab, 160062, India. ssingh@niper.ac.in.
National Institute of Pharmaceutical Education and Research · INIndian Institute of Technology Kharagpur · INNational Institute of Pharmaceutical Education and Research · INUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Population factors such as age, gender, ethnicity, genotype and disease state can cause inter-individual variability in pharmacokinetic (PK) profile of drugs. Primarily, this variability arises from differences in abundance of drug metabolizing enzymes and transporters (DMET) among individuals and/or groups. Hence, availability of compiled data on abundance of DMET proteins in different populations can be useful for developing physiologically based pharmacokinetic (PBPK) models. The latter are routinely employed for prediction of PK profiles and drug interactions during drug development and in case of special populations, where clinical studies either are not feasible or have ethical concerns. Therefore, the main aim of this work was to develop a repository of literature-reported DMET abundance data in various human tissues, which included compilation of information on sample size, technique(s) involved, and the demographic factors. The collation of literature reported data revealed high inter-laboratory variability in abundance of DMET proteins. We carried out unbiased meta-analysis to obtain weighted mean and percent coefficient of variation (%CV) values. The obtained %CV values were then integrated into a PBPK model to highlight the variability in drug PK in healthy adults, taking lamotrigine as a model drug. The validated PBPK model was extrapolated to predict PK of lamotrigine in paediatric and hepatic impaired populations. This study thus exemplifies importance of the DMET protein abundance database, and use of determined values of weighted mean and %CV after meta-analysis in PBPK modelling for the prediction of PK of drugs in healthy and special populations.

Indexed as

Computer SimulationDatabases, FactualModels, BiologicalAdultCalcium Channel BlockersChildChild, PreschoolDrug InteractionsHumansInactivation, MetabolicLamotrigineLiver DiseasesMembrane Transport ProteinsMetabolic Clearance RatePharmaceutical PreparationsTissue DistributionCalcium Channel BlockersLamotrigineMembrane Transport ProteinsPharmaceutical Preparations

Identifiers

PMID31273226
PMCPMC6609630
OpenAlexW2953777256

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.