ArticleThe clinical respiratory journal2023
Machine learning-based identification of cuproptosis-related markers and immune infiltration in severe community-acquired pneumonia.
Article in The clinical respiratory journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 10 citations in OpenAlex.
- Effects of cuproptosis and its application in inflammatory bowel disease (Review).International journal of molecular medicine · 2026Review
- Cuproptosis in inflammation and cancer: molecular mechanisms and therapeutic targets.Molecular cancer · 2026Review
- Cuproptosis: Biomarkers, Mechanisms and Treatments in Diseases.Molecules (Basel, Switzerland) · 2026Review
- Tetrathiomolybdate alleviates bleomycin-induced pulmonary fibrosis by reducing copper concentration and suppressing EMT.European journal of medical research · 2025Article
- Cuproptosis-related Gene Signatures and Immunological Characterization in Sepsis-associated Acute Lung Injury.Combinatorial chemistry & high throughput screening · 2025Article
- Machine learning-based derivation and validation of three immune phenotypes for risk stratification and prognosis in community-acquired pneumonia: a retrospective cohort study.Frontiers in immunology · 2024Article
- Copper metabolism in osteoarthritis and its relation to oxidative stress and ferroptosis in chondrocytes.Frontiers in molecular biosciences · 2024Review
- Identification of cuproptosis-related gene clusters and immune cell infiltration in major burns based on machine learning models and experimental validation.Frontiers in immunology · 2024Article
- Machine learning-based identification of cuproptosis-related markers and immune infiltration in severe community-acquired pneumonia.The clinical respiratory journal · 2023Article
- A machine learning-based nomogram model for predicting the recurrence of cystitis glandularis.Therapeutic advances in urologyArticle
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
backgroundSevere community-acquired pneumonia (SCAP) is one of the world's most common diseases and a major etiology of acute respiratory distress syndrome (ARDS). Cuproptosis is a novel form of regulated cell death that can occur in various diseases.
methodsOur study explored the degree of immune cell infiltration during the onset of severe CAP and identified potential biomarkers related to cuproptosis. Gene expression matrix was obtained from GEO database indexed GSE196399. Three machine learning algorithms were applied: The least absolute shrinkage and selection operator (LASSO), the random forest, and the support vector machine-recursive feature elimination (SVM-RFE). Immune cell infiltration was quantified by single-sample gene set enrichment analysis (ssGSEA) scoring. Nomogram was constructed to verify the applicability of using cuproptosis-related genes to predict the onset of severe CAP and its deterioration toward ARDS.
resultsNine cuproptosis-related genes were differentially expressed between the severe CAP group and the control group: ATP7B, DBT, DLAT, DLD, FDX1, GCSH, LIAS, LIPT1, and SLC31A1. All 13 cuproptosis-related genes were involved in immune cell infiltration. A three-gene diagnostic model was constructed to predict the onset of severe CAP: GCSH, DLD, and LIPT1.
conclusionOur study confirmed the involvement of the newly discovered cuproptosis-related genes in the progression of SCAP.
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