Evidence map›Paper›PMID 35050137›Full record

ReviewMetabolites2021

Defining Blood Plasma and Serum Metabolome by GC-MS.

Olga Kiseleva, Ilya Kurbatov, Ekaterina Ilgisonis, Ekaterina Poverennaya

Abstract readReview
In one paragraph

Review in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
–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

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. PMconv: How to Compare Proteomes and Metabolomes?International journal of molecular sciences · 2026
    Article
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  7. Review
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  11. Review
  12. Review
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  15. Serum and Urine Metabolites and Kidney Function.Journal of the American Society of Nephrology : JASN · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

4 authors.

Olga KiselevaDepartment of Computational Biochemistry and Bioinformatics, Institute of Biomedical Chemistry, 119121 Moscow, Russia.ORCID 0000-0003-3032-1983
Ilya KurbatovDepartment of Computational Biochemistry and Bioinformatics, Institute of Biomedical Chemistry, 119121 Moscow, Russia.
Ekaterina IlgisonisDepartment of Computational Biochemistry and Bioinformatics, Institute of Biomedical Chemistry, 119121 Moscow, Russia.
Ekaterina PoverennayaDepartment of Computational Biochemistry and Bioinformatics, Institute of Biomedical Chemistry, 119121 Moscow, Russia.ORCID 0000-0003-1838-3604

Funding

Thr Ministry of Science and Higher Education of the Russian Federation within the framework of state support for the creation and development of World-Class Research Centers "Digital biodesign and personalized healthcare" 75-15-2020-91
6 · The paper itself

Abstract

Metabolomics uses advanced analytical chemistry methods to analyze metabolites in biological samples. The most intensively studied samples are blood and its liquid components: plasma and serum. Armed with advanced equipment and progressive software solutions, the scientific community has shown that small molecules' roles in living systems are not limited to traditional "building blocks" or "just fuel" for cellular energy. As a result, the conclusions based on studying the metabolome are finding practical reflection in molecular medicine and a better understanding of fundamental biochemical processes in living systems. This review is not a detailed protocol of metabolomic analysis. However, it should support the reader with information about the achievements in the whole process of metabolic exploration of human plasma and serum using mass spectrometry combined with gas chromatography.

Indexed as

gas chromatography-mass spectrometry (GC-MS)metabolomicsmulti-omicsplasmaserum

Identifiers

PMID35050137
PMCPMC8779220

What OpenQuestion holds

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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.