Evidence map›Paper›PMID 37076696›Full record

ArticleClinical pharmacokinetics2023

Integrated Use of In Vitro and In Vivo Information for Comprehensive Prediction of Drug Interactions Due to Inhibition of Multiple CYP Isoenzymes.

Shizuka Hozuki, Hideki Yoshioka, Satoshi Asano, Mikiko Nakamura, Saori Koh, Yukihiro Shibata, Yuta Tamemoto, Hiromi Sato, Akihiro Hisaka

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Article in Clinical pharmacokinetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 46% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 2 institutions in 1 country.

Shizuka HozukiLaboratory of Clinical Pharmacology and Pharmacometrics, Graduate School of Pharmaceutical Sciences, Chiba University, Chiba, Japan.
Hideki YoshiokaLaboratory of Clinical Pharmacology and Pharmacometrics, Graduate School of Pharmaceutical Sciences, Chiba University, Chiba, Japan.
Satoshi AsanoLaboratory of Clinical Pharmacology and Pharmacometrics, Graduate School of Pharmaceutical Sciences, Chiba University, Chiba, Japan.
Mikiko NakamuraPharmaceutical Science Department, Translational Research Division, Chugai Pharmaceutical Co., LTD., Tokyo, Japan.
Saori KohLaboratory for Safety Assessment and ADME, Asahi Kasei Pharma Corporation, Tokyo, Japan.
Yukihiro ShibataLaboratory of Clinical Pharmacology and Pharmacometrics, Graduate School of Pharmaceutical Sciences, Chiba University, Chiba, Japan.
Yuta TamemotoLaboratory of Clinical Pharmacology and Pharmacometrics, Graduate School of Pharmaceutical Sciences, Chiba University, Chiba, Japan.
Hiromi SatoLaboratory of Clinical Pharmacology and Pharmacometrics, Graduate School of Pharmaceutical Sciences, Chiba University, Chiba, Japan.
Akihiro HisakaLaboratory of Clinical Pharmacology and Pharmacometrics, Graduate School of Pharmaceutical Sciences, Chiba University, Chiba, Japan. hisaka@chiba-u.jp.ORCID 0000-0003-4863-9308
Chiba University · JPAsahi Kasei (Japan) · JP

Funding

Japan Agency for Medical Research and Development JP18be0304203Japan Agency for Medical Research and Development JP19be0304203Japan Agency for Medical Research and Development JP20be0304203Japan Agency for Medical Research and Development JP21be0304203
6 · The paper itself

Abstract

backgroundMechanistic static pharmacokinetic (MSPK) models are simple, have fewer data requirements, and have broader applicability; however, they cannot use in vitro information and cannot distinguish the contributions of multiple cytochrome P450 (CYP) isoenzymes and the hepatic and intestinal first-pass effects appropriately. We aimed to establish a new MSPK analysis framework for the comprehensive prediction of drug interactions (DIs) to overcome these disadvantages.

methodsDrug interactions that occurred by inhibiting CYP1A2, CYP2C9, CYP2C19, CYP2D6, and CYP3A in the liver and CYP3A in the intestine were simultaneously analyzed for 59 substrates and 35 inhibitors. As in vivo information, the observed changes in the area under the concentration-time curve (AUC) and elimination half-life (t

resultUsing in vivo information from 239 combinations and in vitro 172 fm and 344 Ki values, changes in AUC, and t

conclusionThis framework would be a powerful tool for the reasonable management of various DIs based on all available in vitro and in vivo information.

Indexed as

Cytochrome P-450 CYP3AIsoenzymesCytochrome P-450 CYP2D6Cytochrome P-450 Enzyme SystemDrug InteractionsHumansCytochrome P-450 CYP2D6Cytochrome P-450 CYP3ACytochrome P-450 Enzyme SystemIsoenzymes

Identifiers

PMID37076696
OpenAlexW4366368788

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.