Evidence map›Paper›PMID 31849452›Full record

ArticleDrug design, development and therapy2019

Drug-Drug Interactions Of Amiodarone And Quinidine On The Pharmacokinetics Of Eliglustat In Rats.

Qiong Wang, Haiyun Wang, Youyan Zhong, Qiang Zhang

Open access · goldAbstract read
In one paragraph

Article in Drug design, development and therapy, 2019. 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
0.3field-weighted citation impact, top 39% 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, 3 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

4 authors at 2 institutions in 1 country.

Qiong WangDepartment of Pharmacy, Wenzhou People's Hospital, Wenzhou, Zhejiang 325000, People's Republic of China.
Haiyun WangDepartment of Pharmacy, Wenzhou People's Hospital, Wenzhou, Zhejiang 325000, People's Republic of China.
Youyan ZhongDepartment of Pharmacy, Wenzhou People's Hospital, Wenzhou, Zhejiang 325000, People's Republic of China.
Qiang ZhangDepartment of Clinical Laboratory, The People's Hospital of Lishui, Lishui, Zhejiang 323000, People's Republic of China.
Wenzhou City People's Hospital · CNLishui City People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEliglustat, a new oral substrate-reduction therapy, was recently approved as a first-line therapy for Gaucher's disease type 1 (GD1) patients. PURPOSE: The purpose of the present study was to develop and validate a simple UPLC-MS/MS method for the measurement of plasma-eliglustat concentration and to investigate the effects of amiodarone and quinidine on eliglustat metabolism in rats.

methodsEighteen rats were randomly divided into three groups (n=6): control (0.5% CMC-Na, group A), amiodarone (60 mg/kg, group B), and quinidine (100 mg/kg, group C). Thirty minutes later, 10 mg/kg eliglustat was orally administered to each rat and concentrations of eliglustat in the rats determined by our UPLC-MS/MS method.

resultsAmiodarone and quinidine increased the main pharmacokinetic parameters (AUC0→

conclusionAmiodarone and quinidine can elevate eliglustat exposure and have an inhibitory effect on eliglustat metabolism. Clearly, appropriate pharmacological studies of eliglustat in patients treated with amiodarone or quinidine should be done in future.

Indexed as

AmiodaroneAnimalsChromatography, High Pressure LiquidDose-Response Relationship, DrugDrug InteractionsMaleMolecular StructurePyrrolidinesQuinidineRatsRats, Sprague-DawleyStructure-Activity RelationshipTandem Mass SpectrometryAmiodaroneeliglustatPyrrolidinesQuinidineamiodaronedrug–drug interactioneliglustatquinidineUPLC-MS/MS

Identifiers

PMID31849452
PMCPMC6913762
OpenAlexW2995864724

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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.