Evidence map›Paper›PMID 32867165›Full record

ReviewMetabolites2020

Bridging Targeted and Untargeted Mass Spectrometry-Based Metabolomics via Hybrid Approaches.

Li Chen, Fanyi Zhong, Jiangjiang Zhu

Abstract readReview
In one paragraph

Review in Metabolites, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing 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

49 citing papers in PubMed.

  1. Trial
  2. Article
  3. International journal of molecular sciences · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Metabolomics of healthy hematopoietic stem cells and leukemic stem cells.Journal of clinical and translational research · 2025
    Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. Analysis types and quantification methods applied in UHPLC-MS metabolomics research: a tutorial.Metabolomics : Official journal of the Metabolomic Society · 2024
    Review
  19. Article
  20. Applications of chromatographic methods in metabolomics: A review.Journal of chromatography. B, Analytical technologies in the biomedical and life sciences · 2024
    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.

Li ChenDepartment of Human Sciences, The Ohio State University, Columbus, OH 43210, USA.
Fanyi ZhongDepartment of Chemistry and Biochemistry, Miami University, Oxford, OH 45056, USA.
Jiangjiang ZhuDepartment of Human Sciences, The Ohio State University, Columbus, OH 43210, USA.

Funding

Characterizing the Metabolome and Volatilome of Gut MicrobiomeR35GM133510 · NIGMS · OHIO STATE UNIVERSITY · PI ZHU, JIANGJIANG · 2019 to 2023
$2.2M
NIGMS NIH HHS R35 GM133510NIGMS NIH HHS R35GM133510
6 · The paper itself

Abstract

This mini-review aims to discuss the development and applications of mass spectrometry (MS)-based hybrid approaches in metabolomics. Several recently developed hybrid approaches are introduced. Then, the overall workflow, frequently used instruments, data handling strategies, and applications are compared and their pros and cons are summarized. Overall, the improved repeatability and quantitative capability in large-scale MS-based metabolomics studies are demonstrated, in comparison to either targeted or untargeted metabolomics approaches alone. In summary, we expect this review to serve as a first attempt to highlight the development and applications of emerging hybrid approaches in metabolomics, and we believe that hybrid metabolomics approaches could have great potential in many future studies.

Indexed as

broad metabolite coveragedynamic rangehybrid approachesidentificationmetabolomicsquantitative analysisrepeatability

Identifiers

PMID32867165
PMCPMC7570162

What OpenQuestion holds

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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.