ArticleJournal of clinical laboratory analysis2021
Predictive diagnosis of chronic obstructive pulmonary disease using serum metabolic biomarkers and least-squares support vector machine.
Article in Journal of clinical laboratory analysis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Cross-ancestry analyses of Chinese and European populations reveal insights into the genetic architecture and disease implication of metabolites.Cell genomics · 2025Pooled it
- Plasma short-chain fatty acids are associated with COPD and COPD phenotypes.BMC pulmonary medicine · 2026Observational
- Mendelian Randomization Study in East Asian Populations Supports the Causal Relationship Between Blood Metabolites and COPD: Insights from Amino Acids, Phospholipids, Vitamin D, and Trace Elements.International journal of chronic obstructive pulmonary disease · 2026Article
- Artificial Intelligence Applications in Chronic Obstructive Pulmonary Disease: A Global Scoping Review of Diagnostic, Symptom-Based, and Outcome Prediction Approaches.Biomedicines · 2025Review
- Abnormal functional network connectivity mediates the relationship between depressive symptoms and cognitive decline in late-onset depression.Psychological medicine · 2025Article
- An enhanced machine learning-based prognostic prediction model for patients with AECOPD on invasive mechanical ventilation.iScience · 2024Article
- Review
- Whole-Blood Metabolomics of a Rat Model of Repetitive Concussion.Journal of molecular neuroscience : MN · 2023Article
- Update on metabolomic findings in COPD patients.ERJ open research · 2023Review
- L-Arginine, as an essential amino acid, is a potential substitute for treating COPD via regulation of ROS/NLRP3/NF-κB signaling pathway.Cell & bioscience · 2023Article
- Metabolome Features of COPD: A Scoping Review.Metabolites · 2022Article
- The Integration of Metabolomics with Other Omics: Insights into Understanding Prostate Cancer.Metabolites · 2022Review
- Metabolic Dysfunction-associated Fatty Liver Disease is Associated with Greater Impairment of Lung Function than Nonalcoholic Fatty Liver Disease.Journal of clinical and translational hepatology · 2022Article
- Machine Learning and Image Processing Enabled Evolutionary Framework for Brain MRI Analysis for Alzheimer's Disease Detection.Computational intelligence and neuroscience · 2022Article
- Predictive diagnosis of chronic obstructive pulmonary disease using serum metabolic biomarkers and least-squares support vector machine.Journal of clinical laboratory analysis · 2021Article
- Artificial Intelligence and Machine Learning in Chronic Airway Diseases: Focus on Asthma and Chronic Obstructive Pulmonary Disease.International journal of medical sciences · 2021Review
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
objectiveDevelopment of biofluid-based biomarkers is attractive for the diagnosis of chronic obstructive pulmonary disease (COPD) but still lacking. Thus, here we aimed to identify serum metabolic biomarkers for the diagnosis of COPD.
methodsIn this study, we investigated serum metabolic features between COPD patients (n = 54) and normal individuals (n = 74) using a
resultsWe observed a hypometabolic state in serum of COPD patients, as indicated by decreases in N-acetyl-glycoprotein (NAG), lipoprotein (LOP, mainly LDL/VLDL), polyunsaturated fatty acid (pUFA), glucose, alanine, leucine, histidine, valine, and lactate. Using an integrated method of multivariable and univariate analyses, NAG and LOP were identified as two important metabolites for distinguishing between COPD patients and controls. Subsequently, we developed a LS-SVM classifier using these two markers and found that LS-SVM classifiers with linear and polynomial kernels performed better than the classifier with RBF kernel. Linear and polynomial LS-SVM classifiers can achieve the total accuracy rates of 80.77% and 84.62% and the AUC values of 0.87 and 0.90 for COPD diagnosis, respectively.
conclusionsThis study suggests that artificial intelligence integrated with serum metabolic biomarkers has a great potential for auxiliary diagnosis of COPD.
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