Evidence map›Paper›PMID 36735792›Full record

ArticleScience advances2023

Spatial metabolomics reveals skeletal myofiber subtypes.

Lanfang Luo, Wenwu Ma, Kun Liang, Yuefan Wang, Jiali Su, Ruirui Liu, Taoyan Liu, Ng Shyh-Chang

Abstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Review
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  6. Insights into the maternal-fetal interface from spatial multi-omics.Frontiers in cell and developmental biology · 2026
    Review
  7. Article
  8. Review
  9. Article
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  11. Article
  12. Review
  13. Review
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  16. Spatial metabolic analysis of the regulatory effects of DL-3-n-butylphthalide in a cerebral ischemia-reperfusion mouse model.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025
    Article
  17. Review
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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

8 authors.

Lanfang LuoInstitute of Zoology, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0001-9753-9018
Wenwu MaInstitute of Zoology, Chinese Academy of Sciences, Beijing, China.
Kun LiangInstitute of Zoology, Chinese Academy of Sciences, Beijing, China.
Yuefan WangInstitute of Zoology, Chinese Academy of Sciences, Beijing, China.
Jiali SuInstitute of Zoology, Chinese Academy of Sciences, Beijing, China.
Ruirui LiuInstitute of Zoology, Chinese Academy of Sciences, Beijing, China.
Taoyan LiuInstitute of Zoology, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0002-9705-1693
Ng Shyh-ChangInstitute of Zoology, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0003-3138-9525

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skeletal muscle myofibers are heterogeneous in their metabolism. However, metabolomic profiling of single myofibers has remained difficult. Mass spectrometry imaging (MSI) is a powerful tool for imaging molecular distributions. In this work, we optimized the workflow of matrix-assisted laser desorption/ionization (MALDI)-based MSI from cryosectioning to metabolomics data analysis to perform high-spatial resolution metabolomic profiling of slow- and fast-twitch myofibers. Combining the advantages of MSI and liquid chromatography-MS (LC-MS), we produced spatial metabolomics results that were more reliable. After the combination of high-spatial resolution MSI and LC-MS metabolomic analysis, we also discovered a new subtype of superfast type 2B myofibers that were enriched for fatty acid oxidative metabolism. Our technological workflow could serve as an engine for metabolomics discoveries, and our approach has the potential to provide critical insights into the metabolic heterogeneity and pathways that underlie fundamental biological processes and disease states.

Indexed as

MetabolomicsMuscle, SkeletalSpectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization

Identifiers

PMID36735792
PMCPMC10939097

What Socratic holds

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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.