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Updated: Jul 1, 2025

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
Published on: October 11, 2018
Unlocking potential biomarkers bridging coronary atherosclerosis and pyrimidine metabolism-associated genes through
Fanli Bu1, Xiao Qin1, Tiantian Wang1
1Dongying People's Hospital (Dongying Hospital of Shandong Provincial Hospital Group), Dongying, Shandong, 257091, People's Republic of China.
This study identifies four pyrimidine metabolism genes (PyMGs), including NT5C2 and RRM1, as key players in atherosclerosis (AS) pathogenesis. These findings offer potential new biomarkers for AS monitoring and therapeutic strategies.
Area of Science:
- Biochemistry
- Genetics
- Cardiovascular Research
Background:
- Atherosclerosis (AS) is a major cardiovascular disease driven by chronic inflammation and metabolic dysregulation.
- Pyrimidine metabolism (PyM) plays a critical role in cellular processes, but its specific involvement in AS is not well understood.
- Identifying pyrimidine metabolism genes (PyMGs) linked to AS is crucial for understanding disease mechanisms.
Purpose of the Study:
- To identify and validate pyrimidine metabolism genes (PyMGs) associated with atherosclerosis (AS).
- To explore the diagnostic potential and clinical relevance of identified PyMGs in AS.
- To elucidate the role of PyMGs in AS pathogenesis and potential therapeutic interventions.
Main Methods:
- Bioinformatic analysis of 41 candidate PyMGs using differential expression analysis.
- Gene Set Enrichment Analysis (GSEA) and Gene Set Variation Analysis (GSVA) to identify biological pathways.
- Lasso regression and SVM-RFE for gene selection and diagnostic assessment, validated with public datasets.
Main Results:
- Four PyMGs were identified as significantly associated with AS, with NT5C2 and RRM1 highlighted as key genes.
- Functional enrichment analysis revealed PyMGs' involvement in pyrimidine metabolism and nucleotide biosynthesis.
- The selected PyMGs demonstrated promising diagnostic potential for distinguishing AS.
Conclusions:
- This study identifies four PyMGs, including NT5C2 and RRM1, as potential contributors to AS pathogenesis.
- These genes represent novel biomarkers for AS monitoring and progression.
- The findings open new avenues for therapeutic strategies targeting pyrimidine metabolism in atherosclerosis.
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