PCSK9 plasma concentration is associated with epicardial adipose tissue volume and metabolic control in patients with type 1 diabetes

Patients with type 1 diabetes (T1D) have a greater risk of cardiovascular disease. Proconvertase subtilisin-kexin 9 (PCSK9) is involved in the atherosclerosis process. This study aimed to determine the relationship between PCSK9 levels and epicardial adipose tissue (EAT) volume and cardiometabolic v...

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Detalhes bibliográficos
Autores: Sardà, Helena|||0000-0002-0138-8217, Colom, Cristina|||0000-0002-2926-4697, Benitez, Sonia|||0000-0003-3565-0743, Carreras, Gemma|||0000-0002-6718-8381, Amigó, Judit|||0000-0003-2407-1906, Miñambres, Inka|||0000-0002-0899-3938, Viladés Medel, David|||0000-0002-3638-9703, Blanco Vaca, Francisco|||0000-0001-7380-5385, Sánchez Quesada, José Luis|||0000-0003-0224-591X, Pérez, Antonio|||0000-0001-5528-1143
Formato: artículo
Fecha de publicación:2024
País:España
Recursos:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:291397
Acesso em linha:https://ddd.uab.cat/record/291397
https://dx.doi.org/urn:doi:10.1038/s41598-024-57708-5
Access Level:acceso abierto
Palavra-chave:Biomarkers
Cardiometabolic risk factors
Cardiometabolic traits
Cardiovascular disease risk
Endocrine system and metabolic diseases
Endocrinology
Epicardial adipose tissue
Medical research
Type 1 diabetes
Descrição
Resumo:Patients with type 1 diabetes (T1D) have a greater risk of cardiovascular disease. Proconvertase subtilisin-kexin 9 (PCSK9) is involved in the atherosclerosis process. This study aimed to determine the relationship between PCSK9 levels and epicardial adipose tissue (EAT) volume and cardiometabolic variables in patients with T1D. This was an observational cross-sectional study including 73 patients with T1D. Clinical, biochemical and imaging data were collected. We divided the patients into two groups according to their glycemic control and the EAT index (iEAT) percentile. We performed a correlation analysis between the collected variables and PCSK9 levels; subsequently, we performed a multiple regression analysis with the significant parameters. The mean age was 47.6 ± 8.5 years, 58.9% were men, and the BMI was 26.9 ± 4.6 kg/m 2. A total of 31.5%, 49.3% and 34.2% of patients had hypertension, dyslipidemia and smoking habit, respectively. The PCSK9 concentration was 0.37 ± 0.12 mg/L, which was greater in patients with worse glycemic control (HbA1c.

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