Evidence map›Paper›PMID 29608318›Full record

ArticleMolecular pharmaceutics2018

Improved Predictions of Drug-Drug Interactions Mediated by Time-Dependent Inhibition of CYP3A.

Jaydeep Yadav, Ken Korzekwa, Swati Nagar

Abstract read
In one paragraph

Article in Molecular pharmaceutics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
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. Article
  2. Enzyme-substrate-inactivator complex formation can impact time-dependent inhibition kinetics.Drug metabolism and disposition: the biological fate of chemicals · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. The Mechanism-Based Inactivation of CYP3A4 by Ritonavir: What Mechanism?International journal of molecular sciences · 2022
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Prediction of Drug Clearance from Enzyme and Transporter Kinetics.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  17. Irreversible Enzyme Inhibition Kinetics and Drug-Drug Interactions.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  18. Article
  19. Review
  20. Numerical Analysis of Time-Dependent Inhibition by MDMA.Drug metabolism and disposition: the biological fate of chemicals · 2020
    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

3 authors.

Jaydeep YadavDepartment of Pharmaceutical Sciences , Temple University School of Pharmacy , 3307 North Broad Street , Philadelphia , Pennsylvania 19140 , United States.
Ken KorzekwaDepartment of Pharmaceutical Sciences , Temple University School of Pharmacy , 3307 North Broad Street , Philadelphia , Pennsylvania 19140 , United States.ORCID 0000-0002-7119-9200
Swati NagarDepartment of Pharmaceutical Sciences , Temple University School of Pharmacy , 3307 North Broad Street , Philadelphia , Pennsylvania 19140 , United States.ORCID 0000-0003-2667-7063

Funding

Predicting Intracellular Drug Concentrations In The Presence Of TransportersR01GM104178 · NIGMS · TEMPLE UNIV OF THE COMMONWEALTH · PI Kenneth Ray Korzekwa, Swati Nagar · 2013 to 2026
$4.0M
Improving prediction of drug interactions mediated by time-dependent inhibitorsR01GM114369 · NIGMS · TEMPLE UNIV OF THE COMMONWEALTH · PI KORZEKWA, KENNETH RAY, NAGAR, SWATI · 2016 to 2023
$3.2M
NIGMS NIH HHS R01 GM104178NIGMS NIH HHS R01 GM114369
6 · The paper itself

Abstract

Time-dependent inactivation (TDI) of cytochrome P450s (CYPs) is a leading cause of clinical drug-drug interactions (DDIs). Current methods tend to overpredict DDIs. In this study, a numerical approach was used to model complex CYP3A TDI in human-liver microsomes. The inhibitors evaluated included troleandomycin (TAO), erythromycin (ERY), verapamil (VER), and diltiazem (DTZ) along with the primary metabolites N-demethyl erythromycin (NDE), norverapamil (NV), and N-desmethyl diltiazem (NDD). The complexities incorporated into the models included multiple-binding kinetics, quasi-irreversible inactivation, sequential metabolism, inhibitor depletion, and membrane partitioning. The resulting inactivation parameters were incorporated into static in vitro-in vivo correlation (IVIVC) models to predict clinical DDIs. For 77 clinically observed DDIs, with a hepatic-CYP3A-synthesis-rate constant of 0.000 146 min

Indexed as

Cytochrome P-450 CYP3ACytochrome P-450 CYP3A InhibitorsDrug InteractionsHumansKineticsLiverMicrosomes, LiverCYP3A protein, humanCytochrome P-450 CYP3ACytochrome P-450 CYP3A Inhibitorsdrug−drug interactionsenzyme kinetic modelsnumerical methodtime-dependent inhibition

Identifiers

PMID29608318
PMCPMC5938745

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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.