Evidence map›Paper›PMID 22686208›Full record

ReviewClinical and translational science2012

Metabolomics as a key integrator for "omic" advancement of personalized medicine and future therapies.

Andrea D Eckhart, Kirk Beebe, Mike Milburn

Open access · bronzeAbstract readReview
In one paragraph

Review in Clinical and translational science, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.5field-weighted citation impact, top 7% of its field
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

23 citing papers in PubMed, 51 citations in OpenAlex.

  1. A novel fasting blood test for insulin resistance and prediabetes.Journal of diabetes science and technology · 2013
    Trial
  2. Article
  3. Journal of pharmaceutical analysis · 2023
    Article
  4. Article
  5. Age- and Sex-Dependent Changes of Free Circulating Blood Metabolite and Lipid Abundances, Correlations, and Ratios.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Choline kinase inhibition in rheumatoid arthritis.Annals of the rheumatic diseases · 2015
    Article
  16. Article
  17. Article
  18. Serum metabolic signatures of primary biliary cirrhosis and primary sclerosing cholangitis.Liver international : official journal of the International Association for the Study of the Liver · 2015
    Article
  19. Review
  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

3 authors at 2 institutions in 1 country.

Andrea D EckhartCenter for Translational Medicine, Thomas Jefferson University, Philadelphia, Pennsylvania, USA. aeckhart@metabolon.com
Kirk Beebe
Mike Milburn
Metabolon (United States) · USThomas Jefferson University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Investigation into biological complexity, whether for a better understanding of disease or drug process, is a monumental task plaguing investigators. The lure of "omic" technologies for circumventing much of these challenges has led to widespread efforts and adoption. It is becoming clearer that a single "omic" approach (e.g., genomics) is often insufficient for completely defining the complexity in these biological systems. Hence, there is an increasing awareness that a "systems" approach will serve to increase resolution and confidence and provide a strong foundation for further hypothesis-driven investigation. Although certain metabolites are already considered clinically important, the profiling of metabolites via metabolomics (the profiling of metabolites to fully characterize metabolic pathways) is the most recent to mature of these "omic" technologies and has been only recently adopted as compared to genomic or proteomic approaches in systems inquiries. Recent reports suggest that this "omic" may well be a key data stream in systems investigations for endeavors in personalized medicine and biomarker identification, as it seems most closely relevant to the phenotype.

Indexed as

Genetic Diseases, InbornGenome, HumanGenome-Wide Association StudyHumansMetabolomicsMutationPrecision Medicine

Identifiers

PMID22686208
PMCPMC5439875
OpenAlexW2015966320

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.