Evidence map›Paper›PMID 24579644›Full record

ReviewCritical reviews in biomedical engineering2013

Metabolomic fingerprinting: challenges and opportunities.

Alyssa K Kosmides, Kubra Kamisoglu, Steve E Calvano, Siobhan A Corbett, Ioannis P Androulakis

Open access · greenAbstract readReview
In one paragraph

Review in Critical reviews in biomedical engineering, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 14% 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

67 citing papers in PubMed, 2 syntheses or guidelines pooled it, 146 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. The Metabolome of theJournal of natural products · 2026
    Review
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  9. Article
  10. Review
  11. Gut Metabolome in Companion Animal Nutrition-Linking Diets to Health.Animals : an open access journal from MDPI · 2025
    Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
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  19. Review
  20. Review

7 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 at 1 institution in 1 country.

Alyssa K KosmidesDepartment of Biomedical Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ.
Kubra KamisogluDepartment of Chemical and Biochemical Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ.
Steve E CalvanoDepartment of Surgery, Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, New Brunswick, NJ.
Siobhan A CorbettDepartment of Surgery, Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, New Brunswick, NJ.
Ioannis P AndroulakisDepartment of Surgery, Robert Wood Johnson Medical School, Department of Biomedical Engineering, Department of Chemical and Biochemical Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ, 08854, USA.
Rutgers, The State University of New Jersey · US

Funding

HORMONE AND CYTOKINE REGULATION OF ENDOTOXIN INJURY(RMI)R37GM034695 · NIGMS · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI LOWRY, STEPHEN F · 1997 to 2006
$4.0M
T32: Predoctoral and Postdoctoral Training Program in Nanotechnology for Cancer ResearchT32CA153952 · NCI · JOHNS HOPKINS UNIVERSITY · PI Denis Wirtz · 2015 to 2026
$3.5M
SKELETAL MUSCLE PROTEIN RESPONSE TO INJURY AND REPLETIONR01GM034695 · NIGMS · WEILL MEDICAL COLLEGE OF CORNELL UNIV · PI CORBETT, SIOBHAN A · 1985 to 2011
$2.8M
Bioinformatics Analysis of Control Mechanisms of HypermetabolismR01GM082974 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI ANDROULAKIS, IOANNIS P · 2008 to 2011
$1.6M
T-32 NIH Postdoctoral Training Program in Nanotechnology for Cancer Medicine NTCMT32CA130840 · NCI · JOHNS HOPKINS UNIVERSITY · PI WIRTZ, DENIS · 2008 to 2012
$1.2M
NCI NIH HHS T32 CA130840NCI NIH HHS T32 CA153952NIGMS NIH HHS GM082974NIGMS NIH HHS GM34695NIGMS NIH HHS R01 GM034695NIGMS NIH HHS R01 GM082974NIGMS NIH HHS R37 GM034695
6 · The paper itself

Abstract

Systems biology has primarily focused on studying genomics, transcriptomics, and proteomics and their dynamic interactions. These, however, represent only the potential for a biological outcome since the ultimate phenotype at the level of the eventually produced metabolites is not taken into consideration. The emerging field of metabolomics provides complementary guidance toward an integrated approach to this problem: It allows global profiling of the metabolites of a cell, tissue, or host and presents information on the actual end points of a response. A wide range of data collection methods are currently used and allow the extraction of global or tissue-specific metabolic profiles. The great amount and complexity of data that are collected require multivariate analysis techniques, but the increasing amount of work in this field has made easy-to-use analysis programs readily available. Metabolomics has already shown great potential in drug toxicity studies, disease modeling, and diagnostics and may be integrated with genomic and proteomic data in the future to provide in-depth understanding of systems, pathways, and their functionally dynamic interactions. In this review we discuss the current state of the art of metabolomics, its applications, and future potential.

Indexed as

AlgorithmsAnimalsBiomarkersComputational BiologyCoronary DiseaseCritical IllnessCytokinesHumansMagnetic Resonance SpectroscopyMass SpectrometryMetabolomicsNeoplasmsObesityPhenotypePrincipal Component AnalysisSoftwareBiomarkersCytokines

Identifiers

PMID24579644
PMCPMC4096240
OpenAlexW2080148196

What OpenQuestion holds

Textmetadata
LicenceTDM
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.