Evidence map›Paper›PMID 35526575›Full record

ArticleJournal of pharmaceutical sciences2022

Physiologically-Based Pharmacokinetic Modeling to Predict Methylphenidate Exposure Affected by Interplay Among Carboxylesterase 1 Pharmacogenetics, Drug-Drug Interactions, and Sex.

Jingcheng Xiao, Jian Shi, Brian R Thompson, David E Smith, Tao Zhang, Hao-Jie Zhu

Open access · greenAbstract read
In one paragraph

Article in Journal of pharmaceutical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Increased Plasma Concentrations of 6-oxo-Methylphenidate inMedicinal chemistry research : an international journal for rapid communications on design and mechanisms of action of biologically active agents · 2025
    Article
  6. Review
  7. Review
  8. Review
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

6 authors at 3 institutions in 1 country.

Jingcheng XiaoDepartment of Pharmaceutical Sciences, University of Michigan, Ann Arbor, MI, 48109, United States.
Jian ShiAlliance Pharma, Inc, Malvern, PA, 19355, United States.
Brian R ThompsonDepartment of Pharmaceutical Sciences, University of Michigan, Ann Arbor, MI, 48109, United States.
David E SmithDepartment of Pharmaceutical Sciences, University of Michigan, Ann Arbor, MI, 48109, United States.
Tao ZhangDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, SUNY Binghamton University, Binghamton, NY, 13902, United States.
Hao-Jie ZhuDepartment of Clinical Pharmacy, University of Michigan, Ann Arbor, MI, 48109, United States. Electronic address: hjzhu@med.umich.edu.
University of Michigan · USAlliance Pharmaceutical (United States) · USBinghamton University · US

Funding

Carboxylesterase 1 Genetic Variation and Methylphenidate in ADHDR01HD093612 · NICHD · UNIVERSITY OF FLORIDA · PI MARKOWITZ, JOHN S, ZHU, HAOJIE · 2018 to 2022
$3.0M
NICHD NIH HHS R01 HD093612
6 · The paper itself

Abstract

BACKGROUND AND

objectiveThe pharmacokinetics (PK) of methylphenidate (MPH) differ significantly among individuals. Carboxylesterase 1 (CES1) is the primary enzyme metabolizing MPH, and its function is affected by genetic variants, drug-drug interaction (DDI), and sex. The object of this study is to evaluate CES1 pharmacogenetics as related to MPH metabolism using human liver samples and develop a physiologically-based pharmacokinetic (PBPK) modeling approach to investigate the influence of CES1 genotypes and other factors on MPH PK.

methodsThe effect of the CES1 variant G143E (rs71647871) on MPH metabolism was studied utilizing 102 individual human liver S9 (HLS9) fraction samples. PBPK models were developed using the population-based PBPK software PK-Sim® by incorporating the HLS9 incubation data. The established models were applied to simulate MPH PK profiles under various clinical scenarios, including different genotypes, drug-alcohol interactions, and the difference between males and females.

resultsThe HLS9 incubation study showed that subjects heterozygous for the CES1 variant G143E metabolized MPH at a rate of approximately 50% of that in non-carriers. The developed PBPK models successfully predicted the exposure alteration of MPH from the G143E genetic variant, ethanol-MPH DDI, and sex. Importantly, the study suggests that male G143E carriers who are alcohol consumers are at a higher risk of MPH overexposure.

conclusionPBPK modeling provides a means for better understanding the mechanisms underlying interindividual variability in MPH PK and PD and could be utilized to develop a safer and more effective MPH pharmacotherapy regimen.

Indexed as

MethylphenidateCarboxylic Ester HydrolasesDrug InteractionsFemaleGenotypeHumansMaleModels, BiologicalPharmacogeneticsCarboxylic Ester HydrolasesMethylphenidateDrug-drug interactionsMethylphenidatePBPK modelingPharmacogeneticsSex difference

Identifiers

PMID35526575
PMCPMC9391289
OpenAlexW4229024806

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.