Evidence map›Paper›PMID 39942809›Full record

ArticleMolecules (Basel, Switzerland)2025

Development and Validation of Targeted Metabolomics Methods Using Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS) for the Quantification of 235 Plasma Metabolites.

Kangkang Xu, Franz Berthiller, Barbara U Metzler-Zebeli, Heidi E Schwartz-Zimmermann

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2025. 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
–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

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.

  1. Article
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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

4 authors.

Kangkang XuInstitute of Bioanalytics and Agro-Metabolomics, Department of Agricultural Sciences, BOKU University, 3430 Tulln, Austria.ORCID 0000-0002-5163-5925
Franz BerthillerInstitute of Bioanalytics and Agro-Metabolomics, Department of Agricultural Sciences, BOKU University, 3430 Tulln, Austria.ORCID 0000-0001-5883-2879
Barbara U Metzler-ZebeliChristian Doppler Laboratory for Innovative Gut Health Concepts of Livestock, 1210 Vienna, Austria.ORCID 0000-0002-2413-4957
Heidi E Schwartz-ZimmermannInstitute of Bioanalytics and Agro-Metabolomics, Department of Agricultural Sciences, BOKU University, 3430 Tulln, Austria.ORCID 0000-0003-2897-7991

Funding

Austrian Competence Centre for Feed and Food Quality, Safety and Innovation No grant number availableChristian Doppler Research Association no grant number availableEuropean Regional Development Fund no grant numberLower Austrian Government Infra Core Project
6 · The paper itself

Abstract

Plasma contains metabolites with diverse physicochemical properties, ranging from highly polar to highly apolar, and concentrations spanning at least nine orders of magnitude. Plasma metabolome analysis is valuable for monitoring health and evaluating medical interventions but is challenging due to the metabolome's diversity and complexity. This study aims to develop and validate targeted LC-MS/MS methods for quantifying 235 mammalian metabolites from 17 compound classes in porcine plasma without prior derivatization. Utilizing reversed-phase and hydrophilic interaction liquid chromatography coupled with tandem mass spectrometry, each analyte is identified and quantified using two selected reaction monitoring (SRM) transitions. Fast polarity switching and scheduled SRM enhance the metabolome coverage and throughput, enabling the analysis of one sample in about 40 min. A simple "dilute and shoot" sample preparation protocol was employed, with samples injected at two dilution levels to align metabolite concentrations within calibration curve ranges. Validation in porcine plasma included assessments of carryover, linearity, detection and quantification limits, repeatability and recovery. The method was further applied to plasma samples from various animal species, demonstrating its applicability to human and animal studies. This study establishes two robust LC-MS/MS methods for comprehensive porcine plasma metabolome quantification, advancing large-scale targeted metabolomics in biomedical research.

Indexed as

MetabolomeMetabolomicsPlasmaTandem Mass SpectrometryAnimalsChromatography, LiquidHumansLiquid Chromatography-Mass SpectrometryReproducibility of ResultsSwineanimal metabolomicsHILICmetabolomicsplasma metabolitesreversed-phase high-performance liquid chromatographytargeted HPLC-MS/MS methods

Identifiers

PMID39942809
PMCPMC11820780

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.