Evidence map›Paper›PMID 39540617›Full record

ArticlePharmaceutical biology2024

Optimization of a sensitive and reliable UPLC-MS/MS method to simultaneously quantify almonertinib and HAS-719 and its application to study the interaction with nicardipine.

Dongxin Chen, Jie Chen, Yuxin Shen, Xiaohai Chen, Hailun Xia, Ya-Nan Liu, Ren-Ai Xu

Abstract readValidation Study
In one paragraph

Article in Pharmaceutical biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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.

Dongxin ChenThe Affiliated Lihuili Hospital, Ningbo University, Ningbo, Zhejiang, China.
Jie ChenThe First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Yuxin ShenThe First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Xiaohai ChenThe First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Hailun XiaThe First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Ya-Nan LiuThe First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Ren-Ai XuThe First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.ORCID 0000-0002-8238-6503

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextAlmonertinib is primarily metabolized by CYP3A4, so it could interact with a variety of drugs metabolized by CYP3A4, leading to the changes of systemic exposure.

objectiveFor the purpose of this experiment, an ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS) assay with accuracy and simplicity was optimized and fully validated for the simultaneous quantitative determination of almonertinib and its metabolite HAS-719, and drug-drug interactions (DDI) between almonertinib and nicardipine MATERIALS AND

methodsDetection of analytes was achieved by UPLC-MS/MS coupled with multiple reaction monitoring (MRM) in the positive ion mode with ion transitions of

resultsThere was favourable linearity in the 0.5-200 ng/mL calibration range for almonertinib and 0.5-100 ng/mL for HAS-719. The lower limit of quantification (LLOQ) for both analytes was 0.5 ng/mL. The precision, accuracy, stability, matrix effect and extraction recovery required for methodological validation were consistent with the requirements of FDA guideline. Then, the UPLC-MS/MS assay was employed successfully on the interactions of almonertinib and nicardipine

conclusionAccording to the findings, it was indicated that nicardipine could inhibit the metabolism of almonertinib

Indexed as

Drug InteractionsMicrosomes, LiverNicardipineRats, Sprague-DawleyTandem Mass SpectrometryAnimalsChromatography, High Pressure LiquidLiquid Chromatography-Mass SpectrometryMaleRatsReproducibility of ResultsNicardipineAlmonertinibHAS-719nicardipinerat plasmaUPLC-MS/MS

Identifiers

PMID39540617
PMCPMC11565681

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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.