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Identification of lipid metabolism-related biomarkers in familial hypercholesterolemia via integrated bioinformatics and machine learning approaches

Abstract Background Familial hypercholesterolemia (FH) is a genetic disorder characterized by imbalances in lipid metabolism, markedly increasing cardiovascular risk. Identifying lipid metabolism-related biomarkers is essential for understanding FH pathogenesis and developing therapeutic strategies....

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Principais autores: Linji Long, Baosheng Zhu, Tao Lv
Format: Artigo
Sprog:Inglês
Udgivet: BMC 2026-04-01
Serier:Journal of Cardiothoracic Surgery
Fag:
Familial hypercholesterolemia
Lipid metabolism
Machine learning
Biomarkers
Online adgang:https://doi.org/10.1186/s13019-026-04107-8
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