Advanced serum lipoprotein and glycoprotein profiling for cardiovascular event prediction in type 2 diabetes mellitus: the LIPOCAT study.

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Tác giả: Núria Alonso, Núria Amigó, Ingrid Arteaga, Esmeralda Castelblanco, Josep Franch-Nadal, Montse Guardiola, Marta Hernández, Cecilia Herrero-Alonso, Josep Julve, Victor Lopez-Lifante, Neus Martínez-Micaelo, Didac Mauricio, Emilio Ortega, Josep Ribalta, Pere Torán-Monserrat

Ngôn ngữ: eng

Ký hiệu phân loại: 305.568 +Alienated and excluded classes

Thông tin xuất bản: England : Cardiovascular diabetology , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 535869

BACKGROUND: Traditional risk factors cannot accurately predict cardiovascular events (CVE) in type 2 diabetes (T2D). The LIPOCAT study aimed to prospectively evaluate the clinical utility of advanced lipoprotein characteristics and glycoproteins to predict future cardiovascular events (CVE) in a large cohort of subjects with type 2 diabetes mellitus (T2D). METHODS: From four different Spanish prospective cohorts, a total of 933 T2D subjects were selected to form the LIPOCAT study. Advanced 1H-Nuclear Magnetic Resonance (1H-NMR) analysis included lipoprotein (Liposcale®) and glycoprotein (Glycoscale) profiling. Random forest classification models and Area Under the Receiver Operating Characteristics (AUROC) analysis were used to assess the differential contribution of advanced variables in predicting CVE. Validation was performed using an external cohort. RESULTS: Out of 933 T2D subjects, 104 reported a CVE during follow-up. Analysis of Liposcale®/Glycoscale uncovered elevations in the circulating VLDL-cholesterol(C), remnant IDL-triglycerides (TG) and LDL-TG in subjects with CVE, along with glycoproteins (Glyc) A and B. Moreover, the incorporation of advanced Liposcale® variables to a base model constructed with traditional risk factors significantly improved the prediction of CVE, as evidenced by 1.5-fold increase in the C statistic (AUROC), reaching AUROC values of 0.756. In the independent validation cohort, similar improvements in AUROC values were observed by adding the advanced variables to the traditional models. CONCLUSIONS: Advanced 1H-NMR analysis revealed previously hidden lipoprotein and glycoprotein characteristics associated with CVE in T2D subjects.
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