Evidence map›Paper›PMID 40863114›Full record

ArticleMetabolites2025

Study of Metabolite Detectability in Simultaneous Profiling of Amine/Phenol and Hydroxyl Submetabolomes by Analyzing a Mixture of Two Separately Dansyl-Labeled Samples.

Sicheng Quan, Shuang Zhao, Liang Li

Abstract read
In one paragraph

Article in Metabolites, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

3 authors.

Sicheng QuanThe Metabolomics Innovation Centre, University of Alberta, Edmonton, AB T6G 2N4, Canada.ORCID 0009-0002-5226-3729
Shuang ZhaoThe Metabolomics Innovation Centre, University of Alberta, Edmonton, AB T6G 2N4, Canada.ORCID 0000-0002-1943-8542
Liang LiThe Metabolomics Innovation Centre, University of Alberta, Edmonton, AB T6G 2N4, Canada.ORCID 0000-0002-9347-2108

Funding

Alberta Innovates n/aCanada Foundation for Innovation n/aGenome Canada n/aMitacs n/aNatural Sciences and Engineering Research Council n/a
6 · The paper itself

Abstract

backgroundLiquid chromatography-mass spectrometry (LC-MS), widely used in metabolomics, is often limited by low ionization efficiency and ion suppression, which reduce overall metabolite detectability and quantification accuracy. To address these challenges, chemical isotope labeling (CIL) LC-MS has emerged as a powerful approach, offering high sensitivity, accurate quantification, and broad metabolome coverage. This method enables comprehensive profiling by targeting multiple submetabolomes. Specifically, amine-/phenol- and hydroxyl-containing metabolites are labeled using dansyl chloride under distinct reaction conditions. While this strategy provides extensive coverage, the sequential analysis of each submetabolome reduces throughput. To overcome this limitation, we propose a two-channel mixing strategy to improve analytical efficiency.

methodsIn this approach, samples labeled separately for the amine/phenol and hydroxyl submetabolomes are combined prior to LC-MS analysis, leveraging the common use of dansyl chloride as the labeling reagent. This integration effectively doubles throughput by reducing LC-MS runtime and associated costs. The method was evaluated using human urine and serum samples, focusing on peak pair detectability and metabolite identification. A proof-of-concept study was also conducted to assess the approach's applicability in putative biomarker discovery.

resultsResults demonstrate that the two-channel mixing strategy enhances throughput while maintaining analytical robustness.

conclusionsThis method is particularly suitable for large-scale studies that require rapid sample processing, where high efficiency is essential.

Indexed as

chemical isotope labeling (CIL) LC-MScomprehensive metabolome profilingdansyl labelingrapid sample processing

Identifiers

PMID40863114
PMCPMC12388855

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Registered trials

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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.