ArticleInternational journal of medical sciences2025
Establishment of a nomogram model based on immune-related genes using machine learning for aortic dissection diagnosis and immunomodulation assessment.
Article in International journal of medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- DTX1 Regulates Aortic Dissection Progression by Modulating Vascular Smooth Muscle Cell Phenotypic Switching via Ubiquitination of ITGA5.Cardiovascular drugs and therapy · 2026Article
- Integrated clinical and multi-omics analysis links composite inflammatory indices to macrophage-associated molecular programs in aortic dissection.Frontiers in genetics · 2026Article
- The Role of Biomarkers and Clinical Prediction Tools in the Diagnosis of Acute Aortic Syndromes: A Literature-Based Review.Medicina (Kaunas, Lithuania) · 2025Review
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Authors and funding
12 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The clinical manifestation of aortic dissection (AD) is complex and varied, making early diagnosis crucial for patient survival. This study aimed to identify immune-related markers to establish a nomogram model for AD diagnosis. Three datasets from GEO-GSE52093, GSE147026 and GSE153434-were combined and used for identification of immune-related causative genes using weighted gene co-expression network analysis, and 136 immune-related genes were obtained. Then, 15 pivotal genes were screened by the protein-protein interaction network. Through machine learning including the Least Absolute Shrinkage and Selection Operator algorithm, random forest algorithm, and multivariate logistic regression, four key feature genes were obtained-
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