Evidence map›Paper›PMID 22480238›Full record

ReviewCombinatorial chemistry & high throughput screening2012

Application of NMR metabolomics to search for human disease biomarkers.

Teklab Gebregiworgis, Robert Powers

Abstract readReview
In one paragraph

Review in Combinatorial chemistry & high throughput screening, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Use of Nuclear Magnetic Resonance (NMR) to Study Cancer Metabolism.Advances in experimental medicine and biology · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Artificial Intelligence in Metabolomics: A Current Review.Trends in analytical chemistry : TRAC · 2024
    Article
  13. Best Practices in NMR Metabolomics: Current State.Trends in analytical chemistry : TRAC · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Diagnostic Value ofACS omega · 2022
    Article
  20. Review

3 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

2 authors.

Teklab GebregiworgisDepartment of Chemistry, University of Nebraska-Lincoln, 722 Hamilton Hall, Lincoln, NE 68588- 0304, USA.
Robert Powers

Funding

THE REDOX-MEDIATED REGULATION OF IRON-RESPONSIVE GENE EXPRESSION IN LIVERP20RR017675 · NCRR · UNIVERSITY OF NEBRASKA LINCOLN · PI GRASS, GREGOR · 2002 to 2011
$20.4M
NCRR NIH HHS P20 RR017675NCRR NIH HHS P20 RR-17675
6 · The paper itself

Abstract

Since antiquity, humans have used body fluids like saliva, urine and sweat for the diagnosis of diseases. The amount, color and smell of body fluids are still used in many traditional medical practices to evaluate an illness and make a diagnosis. The development and application of analytical methods for the detailed analysis of body fluids has led to the discovery of numerous disease biomarkers. Recently, mass spectrometry (MS), nuclear magnetic resonance spectroscopy (NMR), and multivariate statistical techniques have been incorporated into a multidisciplinary approach to profile changes in small molecules associated with the onset and progression of human diseases. The goal of these efforts is to identify metabolites that are uniquely correlated with a specific human disease in order to accurately diagnose and treat the malady. In this review we will discuss recent developments in sample preparation, experimental techniques, the identification and quantification of metabolites, and the chemometric tools used to search for biomarkers of human diseases using NMR.

Indexed as

AnimalsBiomarkersBody FluidsDiagnostic Techniques and ProceduresHumansMagnetic Resonance SpectroscopyMetabolomeMetabolomicsBiomarkers

Identifiers

PMID22480238
PMCPMC6625354

What OpenQuestion holds

Textmetadata
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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.