Evidence map›Paper›PMID 41054619›Full record

ArticleDrug design, development and therapy2025

LC-MS/MS Method for Simultaneous Quantification of Three Oxazolidinone Antimicrobials in Human Plasma: Application to Therapeutic Drug Monitoring.

Na Zhang, Nan Bai, Ying Wang, Beibei Liang, Yun Cai

Abstract read
In one paragraph

Article in Drug design, development and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

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

5 authors.

Na Zhang *Center of Medicine Clinical Research, Department of Pharmacy, Medical Supplies Center, PLA General Hospital, Beijing, 100853, People's Republic of China.
Nan Bai *Center of Medicine Clinical Research, Department of Pharmacy, Medical Supplies Center, PLA General Hospital, Beijing, 100853, People's Republic of China.
Ying WangCenter of Medicine Clinical Research, Department of Pharmacy, Medical Supplies Center, PLA General Hospital, Beijing, 100853, People's Republic of China.
Beibei LiangCenter of Medicine Clinical Research, Department of Pharmacy, Medical Supplies Center, PLA General Hospital, Beijing, 100853, People's Republic of China.
Yun CaiCenter of Medicine Clinical Research, Department of Pharmacy, Medical Supplies Center, PLA General Hospital, Beijing, 100853, People's Republic of China.ORCID 0000-0001-6687-9984

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Oxazolidinone antimicrobials, which are effective against multidrug-resistant gram-positive pathogens, face challenges of variable efficacy and safety owing to patient pharmacokinetic differences. Purpose: This study aimed to establish a liquid chromatography-tandem mass spectrometry (LC-MS/MS) method to simultaneously quantify multiple oxazolidinone antimicrobials, including linezolid, tedizolid, and contezolid, for therapeutic drug monitoring (TDM) applications. Methods: Chromatographic separation was achieved on a C18 column (100 × 2.1 mm, 3.5 μm) with gradient elution. Detection was performed via positive electrospray ionization (ESI+) in multiple reaction monitoring (MRM) mode, targeting transitions: m/z 338.14→162.8 (linezolid); m/z 371→343.1 (tedizolid) and m/z 409.15→269.14 (contezolid), with voriconazole-d3 as the internal standard. Results: The method was validated using Conclusion: This validated LC-MS/MS method enables the simultaneous determination of linezolid, tedizolid, and contezolid in human plasma, rendering it promising for pharmacokinetic studies and TDM, and contributing to optimized patient care in complex therapeutic scenarios.

Indexed as

Drug MonitoringLinezolidOxazolidinonesChromatography, LiquidHumansLiquid Chromatography-Mass SpectrometryTandem Mass SpectrometryTetrazolesLinezolidOxazolidinonestedizolidTetrazolescontezolidLC-MS/MSlinezolidoxazolidinonetedizolid

Identifiers

PMID41054619
PMCPMC12497388

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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.