Plasma Metabolomic Profiling of COPD Patients Stratified by Smoking Status: A GC-MS- Based Approach
Singh, R.; Ghosh, S.; Mandal, A. K.
Show abstract
BackgroundChronic obstructive pulmonary disease, primarily caused by exposure to cigarette smoke, is a heterogeneous lung condition characterized by complex metabolic alterations. The metabolic changes associated with smoking status have not been thoroughly investigated. Our study aims to explore the metabolite profile of COPD patients categorised by their smoking habits, including smokers, ex-smokers, and non-smokers. MethodsIn this study, the plasma metabolome of smoking stratified COPD patients were assessed using gas chromatography coupled to mass spectrometry. We applied multivariate and univariate statistical analysis to identify the differentially abundant metabolites. ResultsWe identified 23 altered metabolites in the smokers and 36 in the ex-smokers COPD subgroups. Interestingly, in comparison to the control group, no significant alteration was observed in the plasma of non-smoker COPD patients. Additionally, pathway enrichment analysis revealed top dysregulated metabolic pathways, including biosynthesis of unsaturated fatty acids, galactose metabolism, phenylalanine, tyrosine, and tryptophan biosynthesis, and glycosylphosphatidylinositol (GPI)-anchor biosynthesis. The receiver operating characteristic curve screened five metabolites, such as tetradecanoic acid, 2,4-di-tert-butylphenol, chloroxylenol, tetradecanal, and 1-dodecene, with the highest diagnostic performance (AUC > 0.8). ConclusionThis study reveals distinct plasma metabolic signatures across COPD subgroups categorized by cigarette smoking history.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Oral feeding with probiotic Lactobacillus rhamnosus attenuates cigarette smoke-induced COPD in C57Bl/6 mice: Relevance to inflammatory markers in human bronchial epithelial cells 95%
- Systems biology analysis of publicly available transcriptomic data reveals a critical link between AKR1B10 gene expression, smoking and occurrence of lung cancer 93%
- Prevalence, Severity and Mortality associated with COPD and Smoking in patients with COVID-19: A Rapid Systematic Review and Meta-Analysis 93%
Similar papers in this journal
- Small-molecule metabolome identifies potential therapeutic targets against COVID-19 92%
- Vitamin A supplement after neonatal Streptococcus pneumoniae pneumonia alters CD4+T cell subset and inhibits allergic asthma in mice model 92%
- Tissue-wide metabolomics reveals wide impact of gut microbiota on mice metabolite composition 92%
Similar papers in this journal
- Untargeted metabolomics of COVID-19 patient serum reveals potential prognostic markers of both severity and outcome 91%
- A novel method to detect intracellular metabolite alterations in MCF-7 cells by doxorubicin induced cell death 91%
- Plasma and stool metabolomic biomarkers of non-alcoholic fatty liver disease in Argentina 90%
Similar papers in this journal
- Lung proteomic biomarkers associated with chronic obstructive pulmonary disease 94%
- The lung extracellular matrix protein landscape in severe early-onset and moderate chronic obstructive pulmonary disease. 93%
- Recapitulation of Human Pathophysiology and Identification of Forensic Biomarkers in a Translational Swine Model of Chlorine Inhalation Injury 92%
Similar papers in this journal
- Distinct Metabolic Signatures Linked to High-Resolution Computed Tomography Radiographic Phenotypes in Stable and Progressive Fibrotic Lung Disease 93%
- Matrix Linear Models for connecting metabolite composition to individual characteristics 92%
- Utility of an untargeted metabolomics approach using a 2D GC-GC-MS platform to distinguish relapsing and progressive multiple sclerosis 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.