Evidence map›Paper›PMID 42504492›Full record

ArticleAnalytical chemistry2026

Reviving Data Potential─The Reanalysis-Driven Metabolomics Data Repository MB-POST.

Yushi Takahashi, Akiyasu C Yoshizawa, Takato Kiuchi, Ryosuke Hayasaka, Taihei Torigoe, Masatomo Takahashi, Takaki Oka, Yuki Matsuzawa, Motohiro Ogawa, Yoshihiro Izumi and 4 more

Abstract read
In one paragraph

Article in Analytical chemistry, 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

14 authors.

Yushi TakahashiMedical AI Center, Niigata University School of Medicine, 2-5274, Gakkocho-dori, Chuo-ku, Niigata951-8514, Japan.ORCID 0000-0002-9194-6293
Akiyasu C YoshizawaMedical AI Center, Niigata University School of Medicine, 2-5274, Gakkocho-dori, Chuo-ku, Niigata951-8514, Japan.
Takato KiuchiMedical AI Center, Niigata University School of Medicine, 2-5274, Gakkocho-dori, Chuo-ku, Niigata951-8514, Japan.
Ryosuke HayasakaInstitute for Advanced Biosciences, Keio University, Kakuganji 246-2, Mizukami, Tsuruoka-shi, Yamagata997-0052, Japan.
Taihei TorigoeMass Spectrometry Center, Graduate School of Science, The University of Osaka, 1-1 Machikaneyama, Toyonaka, Osaka560-0043, Japan.
Masatomo TakahashiMass Spectrometry Center, Graduate School of Science, The University of Osaka, 1-1 Machikaneyama, Toyonaka, Osaka560-0043, Japan.ORCID 0000-0002-2493-2684
Takaki OkaDepartment of Biotechnology and Life Science, Tokyo University of Agriculture and Technology, 2-24-16 Naka-Cho, Koganei-shi, Tokyo184-8588, Japan.
Yuki MatsuzawaGraduate School of Pharmaceutical Sciences, Kyoto University, 46-29 Yoshida-Shimoadachi-cho, Sakyo-ku, Kyoto606-8501, Japan.
Motohiro OgawaDepartment of Biotechnology and Life Science, Tokyo University of Agriculture and Technology, 2-24-16 Naka-Cho, Koganei-shi, Tokyo184-8588, Japan.
Yoshihiro IzumiMass Spectrometry Center, Graduate School of Science, The University of Osaka, 1-1 Machikaneyama, Toyonaka, Osaka560-0043, Japan.ORCID 0000-0003-4608-4652
Hiroshi TsugawaDepartment of Biotechnology and Life Science, Tokyo University of Agriculture and Technology, 2-24-16 Naka-Cho, Koganei-shi, Tokyo184-8588, Japan.ORCID 0000-0002-2015-3958
Akiyoshi HirayamaInstitute for Advanced Biosciences, Keio University, Kakuganji 246-2, Mizukami, Tsuruoka-shi, Yamagata997-0052, Japan.ORCID 0000-0002-0440-6820
Fumio MatsudaDepartment of Bioinformatic Engineering, Graduate School of Information Science and Technology, The University of Osaka, 1-5, Yamadaoka, Suita, Osaka565-0871, Japan.ORCID 0000-0003-1091-778X
Shujiro OkudaMedical AI Center, Niigata University School of Medicine, 2-5274, Gakkocho-dori, Chuo-ku, Niigata951-8514, Japan.ORCID 0000-0002-7704-8104

Funding

Japan Society for the Promotion of Science JP25K03216National Bioscience Database Center JPMJND2305
6 · The paper itself

Abstract

Metabolomics investigates an extraordinarily broad chemical space and generates experimental data with substantial potential for reuse in chemistry, biology, and related fields. We developed MB-POST (https://repository.massbank.jp), a new metabolomics mass spectrometry data repository based on a concept distinct from that of existing platforms, to fully realize this potential. MB-POST implements a reanalysis-oriented metadata framework that captures the information essential for data reuse while providing a streamlined submission system that enables the rapid deposition of standardized metabolomics metadata together with experimental data. Since its public pilot release in December 2024, MB-POST has attracted strong community adoption, with more than 170 experimental projects deposited within its first year and a half. Thus, MB-POST provides a practical foundation for the large-scale reuse of metabolomics mass spectrometry data and represents a concrete step toward accelerating open and data-driven scientific research.

Indexed as

Databases, FactualMetabolomicsMass SpectrometryMetadataSecondary Data AnalysisSoftware

Identifiers

PMID42504492
PMCPMC13470969

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.