Evidence map›Paper›PMID 26674646›Full record

ArticlePloS one2015

Serum Metabolite Biomarkers Discriminate Healthy Smokers from COPD Smokers.

Qiuying Chen, Ruba S Deeb, Yuliang Ma, Michelle R Staudt, Ronald G Crystal, Steven S Gross

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 pooled it
2.9field-weighted citation impact, top 9% 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

39 citing papers in PubMed, 2 syntheses or guidelines pooled it, 75 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. The Evolving Landscape of COPD Typization.Medicina (Kaunas, Lithuania) · 2026
    Review
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  7. Article
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  11. Article
  12. Review
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  17. Article
  18. Observational
  19. Measurement of Melanin Metabolism in Live Cells by [U-The Journal of investigative dermatology · 2021
    Article
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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 2 institutions in 1 country.

Qiuying ChenDepartment of Pharmacology, Weill Cornell Medicine, 1300 York Avenue, New York, NY, 10065, United States of America.
Ruba S DeebDepartment of Genetic Medicine, Weill Cornell Medicine, 1300 York Avenue, New York, NY, 10065, United States of America.
Yuliang MaDepartment of Pharmacology, Weill Cornell Medicine, 1300 York Avenue, New York, NY, 10065, United States of America.
Michelle R StaudtDepartment of Genetic Medicine, Weill Cornell Medicine, 1300 York Avenue, New York, NY, 10065, United States of America.
Ronald G CrystalDepartment of Genetic Medicine, Weill Cornell Medicine, 1300 York Avenue, New York, NY, 10065, United States of America.
Steven S GrossDepartment of Pharmacology, Weill Cornell Medicine, 1300 York Avenue, New York, NY, 10065, United States of America.
Weill Cornell Medicine · USCornell University · US

Funding

Overlapping Airway Basal Cell Transcriptome Reprogramming in COPD and Lung CancerR01HL107882 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI CRYSTAL, RONALD G · 2011 to 2014
$5.8M
COPD Metabolome, Smoking Oxidants and Aberrant Ciliated Cell FunctionP20HL113443 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI CRYSTAL, RONALD G · 2012 to 2016
$5.3M
Diabetic Vasculopathy and Mitochondrial eNOSR37HL087062 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI GROSS, STEVEN S · 2007 to 2016
$4.2M
NHLBI NIH HHS P20 HL113443NHLBI NIH HHS R01 HL107882NHLBI NIH HHS R01HL107882NHLBI NIH HHS R01HL1189541NHLBI NIH HHS R37 HL087062NHLBI NIH HHS R37HL087062
6 · The paper itself

Abstract

COPD (chronic obstructive pulmonary disease) is defined by a fixed expiratory airflow obstruction associated with disordered airways and alveolar destruction. COPD is caused by cigarette smoking and is the third greatest cause of mortality in the US. Forced expiratory volume in 1 second (FEV1) is the only validated clinical marker of COPD, but it correlates poorly with clinical features and is not sensitive enough to predict the early onset of disease. Using LC/MS global untargeted metabolite profiling of serum samples from a well-defined cohort of healthy smokers (n = 37), COPD smokers (n = 41) and non-smokers (n = 37), we sought to discover serum metabolic markers with known and/or unknown molecular identities that are associated with early-onset COPD. A total of 1,181 distinct molecular ions were detected in 95% of sera from all study subjects and 23 were found to be differentially-expressed in COPD-smokers vs. healthy-smokers. These 23 putative biomarkers were differentially-correlated with lung function parameters and used to generate a COPD prediction model possessing 87.8% sensitivity and 86.5% specificity. In an independent validation set, this model correctly predicted COPD in 8/10 individuals. These serum biomarkers included myoinositol, glycerophopshoinositol, fumarate, cysteinesulfonic acid, a modified version of fibrinogen peptide B (mFBP), and three doubly-charged peptides with undefined sequence that significantly and positively correlate with mFBP levels. Together, elevated levels of serum mFBP and additional disease-associated biomarkers point to a role for chronic inflammation, thrombosis, and oxidative stress in remodeling of the COPD airways. Serum metabolite biomarkers offer a promising and accessible window for recognition of early-stage COPD.

Indexed as

MetabolomeMetabolomicsAdultBiomarkersCase-Control StudiesChromatography, LiquidCluster AnalysisFemaleForced Expiratory VolumeHealthy VolunteersHumansMaleMass SpectrometryMiddle AgedPulmonary Disease, Chronic ObstructiveReproducibility of ResultsBiomarkers

Identifiers

PMID26674646
PMCPMC4682670
OpenAlexW2300757046

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.