Evidence map›Paper›PMID 26426352›Full record

Trial reportBritish journal of clinical pharmacology2016

The pharmacokinetic and pharmacodynamic interaction of clopidogrel and cilostazol in relation to CYP2C19 and CYP3A5 genotypes.

Ho-Sook Kim, Younghae Lim, Minkyung Oh, Jong-Lyul Ghim, Eun-Young Kim, Dong-Hyun Kim, Jae-Gook Shin

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in British journal of clinical pharmacology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 22 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Circulation · 2024
    Review
  4. Article
  5. Article
  6. Drug-Drug-Gene Interactions in Cardiovascular Medicine.Pharmacogenomics and personalized medicine · 2022
    Review
  7. Article
  8. Article
  9. 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

7 authors at 3 institutions in 2 countries.

Ho-Sook KimDepartment of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine.
Younghae LimDepartment of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine.
Minkyung OhDepartment of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine.
Jong-Lyul GhimDepartment of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine.
Eun-Young KimDepartment of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine.
Dong-Hyun KimDepartment of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine.
Jae-Gook ShinDepartment of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine.
Inje University · KRPharmacoGenetics (China) · CNInje University Busan Paik Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe primary objective of the present study was to evaluate the pharmacokinetic and pharmacodynamic interactions between clopidogrel and cilostazol in relation to the CYP2C19 and CYP3A5 genotypes.

methodsIn a randomized, three-way crossover study, 27 healthy subjects were administered clopidogrel (300 mg), cilostazol (100 mg) or clopidogrel + cilostazol orally. Plasma concentrations of clopidogrel, cilostazol and their active metabolites (clopidogrel thiol metabolite, 3,4-dehydrocilostazol and 4″-trans-hydroxycilostazol), and adenosine diphosphate-induced platelet aggregation were measured for pharmacokinetic and pharmacodynamic assessment.

resultsThe area under the plasma concentration-time curve (AUC) of the active thiol metabolite of clopidogrel was highest in the CYP2C19 extensive metabolizers (EM) and lowest in the poor metabolizers (PM). Cilostazol decreased the thiol metabolite AUC by 29% in the CYP3A5*1/*3 genotype [geometric mean ratio (GMR) 0.71; 90% confidence interval (CI) 0.58, 0.86; P = 0.020] but not in the CYP3A5*3/*3 genotype (GMR 0.93; 90% CI 0.80, 1.10; P = 0.446). Known effects of the CYP2C19 and CYP3A5 genotypes on the exposure of cilostazol and its metabolites were observed but there was no significant difference in the AUC of cilostazol and 3,4-dehydrocilostazol between cilostazol and clopidogrel + cilostazol. The inhibition of platelet aggregation from 4 h to 24 h (IPA4-24 ) following the administration of clopidogrel alone was highest in the CYP2C19 EM genotype and lowest in the CYP2C19 PM genotype (59.05 ± 18.95 vs. 36.74 ± 13.26, P = 0.023). However, the IPA of the CYP2C19 PM following co-administration of clopidogrel and cilostazol was comparable with that of the CYP2C19 EM and intermediate metabolizers (IM) only in CYP3A5*3/*3 subjects.

conclusionsThe additive antiplatelet effect of cilostazol plus clopidogrel is maximized in subjects with both the CYP2C19 PM and CYP3A5*3/*3 genotypes because of a lack of change of clopidogrel thiol metabolite exposure in CYP3A5*3/*3 as well as the highest cilostazol IPA in CYP2C19 PM and CYP3A5*3/*3 subjects.

Indexed as

Administration, OralAdultArea Under CurveCilostazolClopidogrelCross-Over StudiesCytochrome P-450 CYP2C19Cytochrome P-450 CYP3ADose-Response Relationship, DrugDrug SynergismDrug Therapy, CombinationGenotypeHumansMaleMiddle AgedPlatelet Aggregation InhibitorsCilostazolClopidogrelCYP2C19 protein, humanCYP3A5 protein, humanCytochrome P-450 CYP2C19Cytochrome P-450 CYP3APlatelet Aggregation InhibitorsTetrazolesTiclopidinecilostazolclopidogrelCYP2C19CYP3A5drug-drug interactionpharmacogenomics

Identifiers

PMID26426352
PMCPMC4833149
OpenAlexW2170647283

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.