Evidence map›Paper›PMID 20889676›Full record

ArticleAmerican journal of physiology. Lung cellular and molecular physiology2011

Metabolic consequences of sepsis-induced acute lung injury revealed by plasma ¹H-nuclear magnetic resonance quantitative metabolomics and computational analysis.

Kathleen A Stringer, Natalie J Serkova, Alla Karnovsky, Kenneth Guire, Robert Paine, Theodore J Standiford

Registry-linked trialAbstract read
In one paragraph

Article in American journal of physiology. Lung cellular and molecular physiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04552821 (Study of Biomarkers in Blood and Alveolar Lavage Fluid Samples of Sepsis Patients Complicated With Acute Respiratory Distress Syndrome), which is not on this map. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed
–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.

NCT04552821 unknown statusnot on this mapstarted 2020, after this paper: background citation

Study of Biomarkers in Blood and Alveolar Lavage Fluid Samples of Sepsis Patients Complicated With Acute Respiratory Distress Syndrome (ARDS)

TypeobservationalSponsorTianjin Nankai HospitalRan2020 to 2024Enrolled90ConditionsSepsis, Acute Respiratory Distress Syndrome
3 · Its place in the literature

Who cites it

88 citing papers in PubMed.

  1. Trial
  2. Changes in Metabolites Present in Lung-Lining Fluid Following Exposure of Humans to Ozone.Toxicological sciences : an official journal of the Society of Toxicology · 2018
    Trial
  3. Trial
  4. Trial
  5. Review
  6. Review
  7. Metabolic footprint of sepsis and septic shock: A narrative review.World journal of critical care medicine · 2026
    Review
  8. Article
  9. Urine Metabolites of Suspected Community-Acquired Pneumonia.The Journal of infectious diseases · 2025
    Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Metabolomics of Respiratory Diseases.Handbook of experimental pharmacology · 2023
    Review
  19. Review
  20. Article

28 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

6 authors.

Kathleen A StringerDept. of Clinical, Social, and Administrative Sciences, Univ. of Michigan, Ann Arbor, 48109-1065, USA. stringek@umich.edu
Natalie J Serkova
Alla Karnovsky
Kenneth Guire
Robert Paine
Theodore J Standiford

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
SCCOR in Translational Research in Acute Lung InjuryP50HL074024 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HYZY, ROBERT C · 2003 to 2007
$13.5M
NCI NIH HHS P30 CA046934NCI NIH HHS P30-CA-046934NCRR NIH HHS UL1 RR025780NCRR NIH HHS UL1-RR-025780NHLBI NIH HHS P50 HL074024NHLBI NIH HHS P50-HL-074924
6 · The paper itself

Abstract

Metabolomics is an emerging component of systems biology that may be a viable strategy for the identification and validation of physiologically relevant biomarkers. Nuclear magnetic resonance (NMR) spectroscopy allows for establishing quantitative data sets for multiple endogenous metabolites without preconception. Sepsis-induced acute lung injury (ALI) is a complex and serious illness associated with high morbidity and mortality for which there is presently no effective pharmacotherapy. The goal of this study was to apply ¹H-NMR based quantitative metabolomics with subsequent computational analysis to begin working towards elucidating the plasma metabolic changes associated with sepsis-induced ALI. To this end, this pilot study generated quantitative data sets that revealed differences between patients with ALI and healthy subjects in the level of the following metabolites: total glutathione, adenosine, phosphatidylserine, and sphingomyelin. Moreover, myoinositol levels were associated with acute physiology scores (APS) (ρ = -0.53, P = 0.05, q = 0.25) and ventilator-free days (ρ = -0.73, P = 0.005, q = 0.01). There was also an association between total glutathione and APS (ρ = 0.56, P = 0.04, q = 0.25). Computational network analysis revealed a distinct metabolic pathway for each metabolite. In summary, this pilot study demonstrated the feasibility of plasma ¹H-NMR quantitative metabolomics because it yielded a physiologically relevant metabolite data set that distinguished sepsis-induced ALI from health. In addition, it justifies the continued study of this approach to determine whether sepsis-induced ALI has a distinct metabolic phenotype and whether there are predictive biomarkers of severity and outcome in these patients.

Indexed as

Acute Lung InjuryHumansMagnetic Resonance SpectroscopyMetabolomicsPhenotypePilot ProjectsReference ValuesSepsis

Identifiers

PMID20889676
PMCPMC3023293

What OpenQuestion holds

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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.