Evidence map›Paper›PMID 18441091›Full record

ArticleAmerican journal of physiology. Lung cellular and molecular physiology2008

Utility of magnetic resonance imaging and nuclear magnetic resonance-based metabolomics for quantification of inflammatory lung injury.

Natalie J Serkova, Zachary Van Rheen, Meghan Tobias, Joshua E Pitzer, J Erby Wilkinson, Kathleen A Stringer

Abstract read
In one paragraph

Article in American journal of physiology. Lung cellular and molecular physiology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 5% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Metabolomics: A Viable Approach to Understand the Pathogenesis of Reactive ArthritisEndocrine, metabolic & immune disorders drug targets · 2026
    Review
  4. Article
  5. Metabolomics of Respiratory Diseases.Handbook of experimental pharmacology · 2023
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Integrating omics technologies to study pulmonary physiology and pathology at the systems level.Cellular physiology and biochemistry : international journal of experimental cellular physiology, biochemistry, and pharmacology · 2014
    Review
  16. Review: toxicometabolomics.Journal of applied toxicology : JAT · 2013
    Review
  17. Postinfection A77-1726 treatment improves cardiopulmonary function in H1N1 influenza-infected mice.American journal of respiratory cell and molecular biology · 2012
    Article
  18. Article
  19. Article
  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

6 authors at 4 institutions in 2 countries.

Natalie J SerkovaDepartment of Anesthesiology, School of Medicine, University of Colorado Health Sciences Center, Denver, Colorado, USA.
Zachary Van Rheen
Meghan Tobias
Joshua E Pitzer
J Erby Wilkinson
Kathleen A Stringer
University of Colorado Denver · USInstitute of Laboratory Animal Science · CNPulmonary and Critical Care Associates · USUniversity of Michigan–Ann Arbor · 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
Safety of Lung Delivered Tissue Plasminogen ActivatorR42HL071439 · NHLBI · HTD BIOSYSTEMS, INC. · PI STRINGER, KATHLEEN A · 2005 to 2006
$833k
NCI NIH HHS P30-CA-046934NHLBI NIH HHS R42 HL071439NHLBI NIH HHS R42-HL-071439
6 · The paper itself

Abstract

Magnetic resonance imaging (MRI) and metabolic nuclear magnetic resonance (NMR) spectroscopy are clinically available but have had little application in the quantification of experimental lung injury. There is a growing and unfulfilled need for predictive animal models that can improve our understanding of disease pathogenesis and therapeutic intervention. Integration of MRI and NMR could extend the application of experimental data into the clinical setting. This study investigated the ability of MRI and metabolic NMR to detect and quantify inflammation-mediated lung injury. Pulmonary inflammation was induced in male B6C3F1 mice by intratracheal administration of IL-1beta and TNF-alpha under isoflurane anesthesia. Mice underwent MRI at 2, 4, 6, and 24 h after dosing. At 6 and 24 h lungs were harvested for metabolic NMR analysis. Data acquired from IL-1beta+TNF-alpha-treated animals were compared with saline-treated control mice. The hyperintense-to-total lung volume (HTLV) ratio derived from MRI was higher in IL-1beta+TNF-alpha-treated mice compared with control at 2, 4, and 6 h but returned to control levels by 24 h. The ability of MRI to detect pulmonary inflammation was confirmed by the association between HTLV ratio and histological and pathological end points. Principal component analysis of NMR-detectable metabolites also showed a temporal pattern for which energy metabolism-based biomarkers were identified. These data demonstrate that both MRI and metabolic NMR have utility in the detection and quantification of inflammation-mediated lung injury. Integration of these clinically available techniques into experimental models of lung injury could improve the translation of basic science knowledge and information to the clinic.

Indexed as

Magnetic Resonance ImagingMagnetic Resonance SpectroscopyAnimalsDisease Models, AnimalInterleukin-1betaLungLung InjuryMaleMicePneumoniaRadiographyTime FactorsTumor Necrosis Factor-alphaInterleukin-1betaTumor Necrosis Factor-alpha

Identifiers

PMID18441091
PMCPMC2494785
OpenAlexW2120610506

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.