ArticlePloS one2015
Serum Metabolite Biomarkers Discriminate Healthy Smokers from COPD Smokers.
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.
What it found
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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.
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.
Who cites it
39 citing papers in PubMed, 2 syntheses or guidelines pooled it, 75 citations in OpenAlex.
- Pooled it
- Pooled it
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- Clinical peptidomics for respiratory diseases: matrices, workflows, and translation towards treatable traits, with a focus on COPD.Clinical proteomics · 2026Review
- The Evolving Landscape of COPD Typization.Medicina (Kaunas, Lithuania) · 2026Review
- Sex-Specific Plasma Metabolomic Signatures in COPD Reveal Creatine, Purine/Urate, and Bile-Acid Axes.Metabolites · 2026Article
- Analysis of risk factors for calf muscular vein thrombosis in elderly patients with acute exacerbation of chronic obstructive pulmonary disease.Frontiers in cardiovascular medicine · 2026Article
- Maternal postpartum sedentary life exacerbates the metabolic impact of moderately fat-rich diet in male mice.npj metabolic health and disease · 2025Article
- Article
- Metabolomic Plasma Profile of Chronic Obstructive Pulmonary Disease Patients.International journal of molecular sciences · 2025Article
- The relationship between genetic prediction of 486 blood metabolites and the risk of COPD: mendelian randomization study.Scientific reports · 2025Article
- Review
- Review
- Plasma metabolomics and quantitative interstitial abnormalities in ever-smokers.Respiratory research · 2023Article
- Update on metabolomic findings in COPD patients.ERJ open research · 2023Review
- Proteomics and metabolomics profiling reveal panels of circulating diagnostic biomarkers and molecular subtypes in stable COPD.Respiratory research · 2023Article
- Metabolome Features of COPD: A Scoping Review.Metabolites · 2022Article
- Rationale and design of REGULATE: an observational study protocol for relationship between plasma metabolome and the efficacy of systemic glucocorticoid in acute exacerbation of chronic obstructive pulmonary disease.BMC pulmonary medicine · 2021Observational
- Measurement of Melanin Metabolism in Live Cells by [U-The Journal of investigative dermatology · 2021Article
- The serum metabolome of COVID-19 patients is distinctive and predictive.Metabolism: clinical and experimental · 2021Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
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.
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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.