Evidence map›Paper›PMID 21680948›Full record

ReviewAmerican journal of respiratory and critical care medicine2011

The emerging field of quantitative blood metabolomics for biomarker discovery in critical illnesses.

Natalie J Serkova, Theodore J Standiford, Kathleen A Stringer

Registry-linked trialAbstract readReview
In one paragraph

Review in American journal of respiratory and critical care medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04042519 (The Correlation Research Between the Omega-3 and Omega-6 Inflammatory Metabolites and Stable COPD.), which is not on this map. Cited by 99 papers.

0numbers the graph read from it
0cells of the map it votes in
99citing papers in PubMed
8.8field-weighted citation impact, top 1% 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.

NCT04042519 completednot on this mapstarted 2016, after this paper: background citation

The Correlation Research Between the Omega-3 and Omega-6 Inflammatory Metabolites and Stable COPD.

TypeobservationalSponsorGuangzhou Institute of Respiratory DiseaseRan2016 to 2019Enrolled200ConditionsMetabolomics, Omega 6, Omega 3, COPDArmsLung function test was performed on the subjects with Jaeger lung function instrument of Germany., Agilent 1290 Infinity LC system (UHPLC, Santa Clara CA) was used for Targeted metabolite detection., Routine blood test
3 · Its place in the literature

Who cites it

99 citing papers in PubMed, 192 citations in OpenAlex.

  1. Trial
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  8. Early Sepsis Metabolic Changes in Kidney and Liver Precede Clinical Evidence of Organ Dysfunction.American journal of respiratory cell and molecular biology · 2025
    Article
  9. Review
  10. Review
  11. Article
  12. Review
  13. Modeling blood metabolite homeostatic levels reduces sample heterogeneity across cohorts.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  14. Article
  15. Review
  16. Fluid biomarkers in cerebral amyloid angiopathy.Frontiers in neuroscience · 2024
    Review
  17. Review
  18. Article
  19. Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Natalie J SerkovaDepartment of Anesthesiology, School of Medicine, University of Colorado Denver, Aurora, Colorado, USA.
Theodore J Standiford
Kathleen A Stringer
University of Colorado Cancer Center · USUniversity of Michigan · US

Funding

University of Colorado Cancer Center Support Grant - Lung Cancer Patient-Derived Xenografts with Autologous Human Immune SystemsP30CA046934 · NCI · UNIVERSITY OF COLORADO DENVER · PI James V Degregori · 1988 to 2026
$117.0M
CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR025780 · NCRR · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2008 to 2011
$61.3M
NCI NIH HHS P30 CA046934NCI NIH HHS P30 CA046934-14NCRR NIH HHS UL1 RR025780
6 · The paper itself

Abstract

Metabolomics, a science of systems biology, is the global assessment of endogenous metabolites within a biologic system and represents a "snapshot" reading of gene function, enzyme activity, and the physiological landscape. Metabolite detection, either individual or grouped as a metabolomic profile, is usually performed in cells, tissues, or biofluids by either nuclear magnetic resonance spectroscopy or mass spectrometry followed by sophisticated multivariate data analysis. Because loss of metabolic homeostasis is common in critical illness, the metabolome could have many applications, including biomarker and drug target identification. Metabolomics could also significantly advance our understanding of the complex pathophysiology of acute illnesses, such as sepsis and acute lung injury/acute respiratory distress syndrome. Despite this potential, the clinical community is largely unfamiliar with the field of metabolomics, including the methodologies involved, technical challenges, and, most importantly, clinical uses. Although there is evidence of successful preclinical applications, the clinical usefulness and application of metabolomics in critical illness is just beginning to emerge, the advancement of which hinges on linking metabolite data to known and validated clinically relevant indices. In addition, other important aspects, such as patient selection, sample collection, and processing, as well as the needed multivariate data analysis, have to be taken into consideration before this innovative approach to biomarker discovery can become a reliable tool in the intensive care unit. The purpose of this review is to begin to familiarize clinicians with the field of metabolomics and its application for biomarker discovery in critical illnesses such as sepsis.

Indexed as

Acute Lung InjuryAnimalsBiomarkersCritical IllnessHumansMagnetic Resonance SpectroscopyMass SpectrometryMetabolomicsPneumoniaSepsisBiomarkers

Identifiers

PMID21680948
PMCPMC3208597
OpenAlexW2145068664

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.