ArticleInflammation research : official journal of the European Histamine Research Society ... [et al.]2023
The combination of machine learning and untargeted metabolomics identifies the lipid metabolism -related gene CH25H as a potential biomarker in asthma.
Article in Inflammation research : official journal of the European Histamine Research Society ... [et al.], 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 31 citations in OpenAlex.
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- Serum biomarker screening and metabolic profiling analysis of nonalcoholic fatty liver disease patients using untargeted metabolomics and machine learning techniques.Frontiers in molecular biosciences · 2026Article
- Exploring the role of cytochrome P450 family 1 subfamily B member 1 and quercetin in modulating neuropathic pain after spinal cord injury.Molecular medicine reports · 2026Article
- Risk model for depression in patients with chronic prostatitis/chronic pelvic pain syndrome: A retrospective cross-sectional study.The Journal of international medical research · 2025Article
- Why did individuals seeking COVID-19 advice return to internet hospitals for follow-up in the early pandemic: Insights from machine learning.BMC public health · 2025Article
- Comprehensive analysis of a lipid metabolism-related gene signature for ulcerative colitis.Translational pediatrics · 2025Article
- Physico-chemically different carbon nanomaterials may elicit similar inflammatory molecular pathways within the lungs of mice.Toxicology research · 2025Article
- Linking Lipid Metabolism and Immune Function: New Insights into Chronic Respiratory Diseases.Pathophysiology : the official journal of the International Society for Pathophysiology · 2025Review
- Article
- Exploring potential diagnostic markers and therapeutic targets for type 2 diabetes mellitus with major depressive disorder through bioinformatics and in vivo experiments.Scientific reports · 2025Article
- Unraveling the Molecular Landscape of Neutrophil Extracellular Traps in Severe Asthma: Identification of Biomarkers and Molecular Clusters.Molecular biotechnology · 2025Article
- Development of an early prediction model for vomiting during hemodialysis using LASSO regression and Boruta feature selection.Scientific reports · 2025Article
- Bioinformatics analysis combined with untargeted metabolomics reveals lipid metabolism-related genes and their biological markers in chronic spontaneous urticaria.Frontiers in genetics · 2025Article
- Development and validation of a novel nutrition-inflammation prognostic score for predicting 30-day mortality in critically ill stroke patients.Frontiers in nutrition · 2025Article
- The risk prediction model for acute urine retention after perineal prostate biopsy based on the LASSO approach and Boruta feature selection.Frontiers in oncology · 2025Article
- LC-MS-based conventional metabolomics combined with machine learning models to identify metabolic markers for the diagnosis of type I diabetes.Frontiers in endocrinology · 2025Article
- Identification of Potential Targets for EGFR-Regulated Nucleus Pulposus Degeneration Using Single-Cell RNA Sequencing and Machine Learning.Journal of inflammation research · 2025Article
- Global and Targeted Metabolomics for Revealing Metabolomic Alteration in Niemann-Pick Disease Type C Model Cells.Metabolites · 2024Article
- CDC167 exhibits potential as a biomarker for airway inflammation in asthma.Mammalian genome : official journal of the International Mammalian Genome Society · 2024Article
- Genetic biomarker prediction based on gender disparity in asthma throughout machine learning.Frontiers in medicine · 2024Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
backgroundLipids, significant signaling molecules, regulate a multitude of cellular responses and biological pathways in asthma which are closely associated with disease onset and progression. However, the characteristic lipid genes and metabolites in asthma remain to be explored. It is also necessary to further investigate the role of lipid molecules in asthma based on high-throughput data.
objectiveTo explore the biomarkers and molecular mechanisms associated with lipid metabolism in asthma.
methodsIn this study, we selected three mouse-derived datasets and one human dataset (GSE41665, GSE41667, GSE3184 and GSE67472) from the GEO database. Five machine learning algorithms, LASSO, SVM-RFE, Boruta, XGBoost and RF, were used to identify core gene. Additionally, we used non-negative matrix breakdown (NMF) clustering to identify two lipid molecular subgroups and constructed a lipid metabolism score by principal component analysis (PCA) to differentiate the subtypes. Finally, Western blot confirmed the altered expression levels of core genes in OVA (ovalbumin) and HDM+LPS (house dust mite+lipopolysaccharide) stimulated and challenged BALB/c mice, respectively. Results of non-targeted metabolomics revealed multiple differentially expressed metabolites in the plasma of OVA-induced asthmatic mice.
resultsCholesterol 25-hydroxylase (CH25H) was finally localized as a core lipid metabolism gene in asthma and was verified to be highly expressed in two mouse models of asthma. Five-gene lipid metabolism constructed from CYP2E1, CH25H, PTGES, ALOX15 and ME1 was able to distinguish the subtypes effectively. The results of non-targeted metabolomics showed that most of the aberrantly expressed metabolites in the plasma of asthmatic mice were lipids, such as LPC 16:0, LPC 18:1 and LPA 18:1.
conclusionOur findings imply that the lipid-related gene CH25H may be a useful biomarker in the diagnosis of asthma.
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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 Socratic graph.