Evidence map›Paper›PMID 42680969›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

LC-MS/MS-Based Untargeted Hydrophilic Metabolomics Using MS-DIAL.

Yoshimasa Todoroki, Bujinlkham Buyantogtokh, Hiroshi Tsugawa

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

3 authors.

Yoshimasa TodorokiDepartment of Biotechnology and Life Science, Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei-shi, Tokyo, Japan.
Bujinlkham BuyantogtokhDepartment of Biotechnology and Life Science, Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei-shi, Tokyo, Japan.
Hiroshi TsugawaDepartment of Biotechnology and Life Science, Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei-shi, Tokyo, Japan. tsugawa.hiroshi.2p@kyoto-u.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liquid chromatography-tandem mass spectrometry (LC-MS/MS) is widely used in the field of metabolomics because it enables the simultaneous detection of hundreds to thousands of metabolites in a single analysis. MS-DIAL 5 is a software platform that facilitates the analysis of mass spectrometry data, including those obtained from LC-MS/MS, and provides a function for creating molecular spectral networks. In the analysis of hydrophilic metabolites, the availability of standard compounds is limited compared with that of lipids, and the utilization of MS/MS libraries is often restricted. To address this challenge, molecular spectral networking serves as an effective strategy for extending annotations to unknown ions. In this chapter, we introduce an analytical strategy for hydrophilic metabolite analysis using MS-DIAL 5, which utilizes retention time prediction and molecular spectral networking to enhance the reliability and comprehensiveness of metabolite annotation.

Indexed as

Liquid Chromatography-Mass SpectrometryMetabolomeMetabolomicsSoftwareTandem Mass SpectrometryChromatography, LiquidHydrophobic and Hydrophilic InteractionsHydrophilic metabolomicsLC–MS/MSMolecular spectral networkMS-DIALRetention time prediction

Identifiers

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.