Evidence map›Paper›PMID 19399626›Full record

ReviewJournal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology2010

Metabolomics: moving to the clinic.

Anders Nordström, Rolf Lewensohn

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Analyzing the impact of T7L variants overexpression on the metabolic profile of Escherichia coli.Metabolomics : Official journal of the Metabolomic Society · 2024
    Article
  7. Article
  8. Review
  9. Omics Technologies Improving Breast Cancer Research and Diagnostics.International journal of molecular sciences · 2023
    Review
  10. Phenomic Studies on Diseases: Potential and Challenges.Phenomics (Cham, Switzerland) · 2023
    Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Review
  19. Metabolomic Biomarkers in Anxiety Disorders.International journal of molecular sciences · 2020
    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

2 authors.

Anders NordströmDepartment for Oncology-Pathology, Karolinska Biomics Center, Karolinska Institutet, Z5:02, 17176 Stockholm, Sweden. anders.nordstrom@ki.se
Rolf Lewensohn

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessment of a biological system by means of global and non-targeted metabolite profiling--metabolomics or metabonomics--provides the investigator with molecular information that is close to the phenotype in question in the sense that metabolites are an ultimate product of gene, mRNA, and protein activity. Over the last few years, there has been a rapidly growing number of metabolomics applications aimed at finding biomarkers which could assist diagnosis, provide therapy guidance, and evaluate response to therapy for particular diseases. Also, within the fields of drug discovery, drug toxicology, and personalized pharmacology, metabolomics is emerging as a powerful tool. This review seeks to update the reader on analytical strategies, biomarker findings, and implications of metabolomics for the clinic. Particular attention is paid to recent biomarkers found related to neurological, cardiovascular, and cancer diseases. Moreover, the impact of metabolomics in the drug discovery and development process is examined.

Indexed as

BiomarkersBiomarkers, PharmacologicalCardiovascular DiseasesDrug Delivery SystemsDrug DiscoveryHumansMetabolomicsNeoplasmsNervous System DiseasesPrecision MedicineBiomarkersBiomarkers, Pharmacological

Identifiers

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.