Evidence map›Paper›PMID 23988149›Full record

ReviewOmics : a journal of integrative biology2013

Cell metabolomics.

Aihua Zhang, Hui Sun, Hongying Xu, Shi Qiu, Xijun Wang

Abstract readReview
In one paragraph

Review in Omics : a journal of integrative biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
92citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Metabolomics and Biomarker Discovery.Advances in experimental medicine and biology · 2026
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Advancing marine invertebrate cell line research: four key knowledge gaps.In vitro cellular & developmental biology. Animal · 2025
    Review
  14. Article
  15. The Study of the Protection Mechanism of Calycosin-7-Molecules (Basel, Switzerland) · 2025
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

32 more citing papers are in PubMed but not listed here.

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

5 authors.

Aihua ZhangNational TCM Key Laboratory of Serum Pharmacochemistry, Key Laboratory of Chinmedomics, Key Pharmacometabolomics Platform of Chinese Medicines, and Heilongjiang University of Chinese Medicine , Harbin, China .
Hui Sun
Hongying Xu
Shi Qiu
Xijun Wang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abstract Metabolomics technologies enable the examination and identification of endogenous biochemical reaction products, revealing information on the precise metabolic pathways and processes within a living cell. Metabolism is either directly or indirectly involved with every aspect of cell function, and metabolomics is thus believed to be a reflection of the phenotype of any cell. Metabolomics analysis of cells has many potential applications and advantages compared to currently used methods in the postgenomics era. Cell metabolomics is an emerging field that addresses fundamental biological questions and allows one to observe metabolic phenomena in cells. Cell metabolomics consists of four sequential steps: (a) sample preparation and extraction, (b) metabolic profiles of low-weight metabolites based on MS or NMR spectroscopy techniques, (c) pattern recognition approaches and bioinformatics data analysis, (d) metabolites identification resulting in putative biomarkers and molecular targets. The biomarkers are eventually placed in metabolic networks to provide insight on the cellular biochemical phenomena. This article analyzes the recent developments in use of metabolomics to characterize and interpret the cellular metabolome in a wide range of pathophysiological and clinical contexts, and the putative roles of the endogenous small molecule metabolites in this new frontier of postgenomics biology and systems medicine.

Indexed as

MetabolomeAnimalsCell FractionationCells, CulturedHost-Pathogen InteractionsHumansMass SpectrometryMetabolomicsNeoplasms

Identifiers

PMID23988149
PMCPMC3783970

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.