Evidence map›Paper›PMID 33280995›Full record

ArticleJournal of pharmaceutical and biomedical analysis2021

Challenges and stepwise fit-for-purpose optimization for bioanalyses of remdesivir metabolites nucleotide monophosphate and triphosphate in mouse tissues using LC-MS/MS.

Wenjuan Hu, Lu Chang, Changqiang Ke, Yuanchao Xie, Jingshan Shen, Bo Tan, Jia Liu

Open access · greenAbstract read
In one paragraph

Article in Journal of pharmaceutical and biomedical analysis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Remdesivir.Profiles of drug substances, excipients, and related methodology · 2023
    Review
  4. Article
  5. Article
  6. 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 1 country.

Wenjuan HuShanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China. Electronic address: wenjuan.hu@simm.ac.cn.
Lu ChangShanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China. Electronic address: 2893357784@qq.com.
Changqiang KeShanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China. Electronic address: kechangqiang@simm.ac.cn.
Yuanchao XieShanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China. Electronic address: xieyuanchao@simm.ac.cn.
Jingshan ShenShanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China. Electronic address: shenjingshan@simm.ac.cn.
Bo TanClinical Pharmacokinetic Laboratory, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China. Electronic address: tbot@163.com.
Jia LiuShanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China. Electronic address: jia.liu@simm.ac.cn.
Shanghai Institute of Materia Medica · CNChinese Academy of Sciences · CNShanghai University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Remdesivir is a prodrug of the nucleotide analogue and used for COVID-19 treatment. However, the bioanalysis of the active metabolites remdesivir nucleotide triphosphate (RTP) and its precursor remdesivir nucleotide monophosphate (RMP) is very challenging. Herein, we established a novel method to separate RTP and RMP on a BioBasic AX column and quantified them by high-performance liquid chromatography-tandem mass spectrometry in positive electrospray ionization mode. Stepwise, we optimized chromatographic retention on an anion exchange column, improved stability in matrix through the addition of 5,5'-dithiobis-(2nitrobenzoic acid) and PhosSTOP EASYpack, and increased recovery by dissociation of tight protein binding with 2 % formic acid aqueous solution. The method allowed lower limit of quantification of 20 nM for RMP and 10 nM for RTP. Method validation demonstrated acceptable accuracy (93.6%-103% for RMP, 94.5%-107% for RTP) and precision (RSD < 11.9 % for RMP, RSD < 11.4 % for RTP), suggesting that it was sensitive and robust for simultaneous quantification of RMP and RTP. The method was successfully applied to analyze RMP and RTP in mouse tissues. In general, the developed method is suitable to monitor RMP and RTP, and provides a useful approach for exploring more detailed effects of remdesivir in treating diseases.

Indexed as

Adenosine MonophosphateAlanineAnimalsAntiviral AgentsChromatography, LiquidCOVID-19COVID-19 Drug TreatmentHumansLiverMaleMiceProdrugsTandem Mass SpectrometryAdenosine MonophosphateAlanineAntiviral AgentsProdrugsremdesivirLC–MS/MSNucleotide monophosphateNucleotide triphosphateRecoveryRemdesivirStability

Identifiers

PMID33280995
PMCPMC7703390
OpenAlexW3108910283

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.