Evidence map›Paper›PMID 26115542›Full record

ArticlePediatric pulmonology2015

Metabolomics analysis identifies novel plasma biomarkers of cystic fibrosis pulmonary exacerbation.

Theresa A Laguna, Cavan S Reilly, Cynthia B Williams, Cole Welchlin, Chris H Wendt

Open access · greenAbstract read
In one paragraph

Article in Pediatric pulmonology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 66 citations in OpenAlex.

  1. Trial
  2. Article
  3. Changes in fecal lipidome after treatment with ivacaftor without changes in microbiome or bile acids.Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society · 2024
    Article
  4. N4-acetylcytidine modifies primary microRNAs for processing in cancer cells.Cellular and molecular life sciences : CMLS · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Metabolomics of airways disease in cystic fibrosis.Current opinion in pharmacology · 2022
    Review
  9. Article
  10. Article
  11. Review
  12. Distinctive metabolic profiles between Cystic Fibrosis mutational subclasses and lung function.Metabolomics : Official journal of the Metabolomic Society · 2021
    Article
  13. Review
  14. Utilizing centralized biorepository samples for biomarkers of cystic fibrosis lung disease severity.Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society · 2020
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Urinary metabolomics reveals unique metabolic signatures in infants with cystic fibrosis.Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society · 2019
    Article
  20. Review
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 3 institutions in 1 country.

Theresa A LagunaDepartment of Pediatrics, University of Minnesota Medical School and The University of Minnesota Masonic Children's Hospital, Minneapolis, Minnesota.
Cavan S ReillySchool of Public Health, Division of Biostatistics, University of Minnesota, Minneapolis, Minnesota.
Cynthia B WilliamsDepartment of Pediatrics, University of Minnesota Medical School and The University of Minnesota Masonic Children's Hospital, Minneapolis, Minnesota.
Cole WelchlinDepartment of Pediatrics, University of Minnesota Medical School and The University of Minnesota Masonic Children's Hospital, Minneapolis, Minnesota.
Chris H WendtDepartment of Medicine, Division of Pulmonary and Critical Care Medicine, University of Minnesota School of Medicine and Veterans Administration Medical Center, Minneapolis, Minnesota.
University of Minnesota Children's Hospital · USUniversity of Minnesota · USUniversity of Minnesota Medical Center · US

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR000114 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R · 2012 to 2015
$35.0M
ZORVIRAX ORAL SUSPENSION FOR SEVERE CHILDHOOD HERPES VIRUS INFECTIONSM01RR000069 · NCRR · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 1985 to 2008
$22.1M
University of Minnesota Clinical and Translational Science Institute (UMN CTSI)KL2TR000113 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R · 2012 to 2015
$5.4M
LABORATORY COREU01HL081335 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI ACCURSO, FRANK J. · 2005 to 2008
$4.1M
Bedside to Bench and Back Again: Training Pediatricians in Translational ResearchK12HD068322 · NICHD · UNIVERSITY OF MINNESOTA · PI NEGLIA, JOSEPH P · 2011 to 2015
$1.9M
NCATS NIH HHS KL2 TR000113NCATS NIH HHS UL1 TR000114NCRR NIH HHS M01 RR000069NCRR NIH HHS M01RR00069NHLBI NIH HHS 1U01HL081335-01NHLBI NIH HHS U01 HL081335NICHD NIH HHS K12 HD068322NICHD NIH HHS K12HD068322
6 · The paper itself

Abstract

backgroundCystic fibrosis (CF) lung disease is characterized by infection, inflammation, lung function decline, and intermittent pulmonary exacerbations. However, the link between pulmonary exacerbation and lung disease progression remains unclear. Global metabolomic profiling can provide novel mechanistic insight into a disease process in addition to putative biomarkers for future study. Our objective was to investigate how the plasma metabolomic profile changes between CF pulmonary exacerbation and a clinically well state.

methodsPlasma samples and lung function data were collected from 25 CF patients during hospitalization for a pulmonary exacerbation and during quarterly outpatient clinic visits. In collaboration with Metabolon, Inc., the metabolomic profiles of matched pair plasma samples, one during exacerbation and one at a clinic visit, were analyzed using gas and liquid chromatography coupled with mass spectrometry. Compounds were identified by comparison to a library of standards. Mixed effects models that controlled for nutritional status and lung function were used to test for differences and principal components analysis was performed.

resultsOur population had a median age of 27 years (14-39) and had a median FEV1 % predicted of 65% (23-105%). 398 total metabolites were identified and after adjustment for confounders, five metabolites signifying perturbations in nucleotide (hypoxanthine), nucleoside (N4-acetylcytidine), amino acid (N-acetylmethionine), carbohydrate (mannose), and steroid (cortisol) metabolism were identified. Principal components analysis provided good separation between the two clinical phenotypes.

conclusionsOur findings provide putative metabolite biomarkers for future study and allow for hypothesis generation about the pathophysiology of CF pulmonary exacerbation.

Indexed as

MetabolomeAdolescentAdultBiomarkersCohort StudiesCystic FibrosisCytidineFemaleHumansHydrocortisoneHypoxanthineMaleMannoseMatched-Pair AnalysisMetabolomicsMethionineBiomarkersCytidineHydrocortisoneHypoxanthineMannoseMethionineN-acetylcytidineN-acetylmethionineinfectioninflammationlung function

Identifiers

PMID26115542
PMCPMC5553866
OpenAlexW1769526502

What OpenQuestion holds

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Registered trials

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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.