Metabolic diseases are chronic disorders correlated to a greater risk of cardiovascular event and death. Recently, many data have sustained the biological link between microvascular dysfunction, oxidative stress, vascular inflammation, and metabolic diseases. The determination of new and specific blood biomarkers of vascular inflammation associated with obesity-related metabolic syndrome (MetS) and diabetes such as lipoprotein-associated phospholipase A 2 (Lp-PLA 2 ) could be useful to identify subject with high risk of cardiovascular events. Lp-PLA 2 participates by a crucial role in microvascular dysfunction and oxidative stress showing positive association with metabolic disorders. In this review, we will argue the evolving role of Lp-PLA 2 in predicting cardiovascular events in metabolic disease patients.
De Stefano, A., Mannucci, L., Tamburi, F., Cardillo, C., Schinzari, F., Rovella, V., Nistico, S., Bennardo, L., Daniele, N. D., Tesauro, M., Lp-PLA 2 , a new biomarker of vascular disorders in metabolic diseases, <<INTERNATIONAL JOURNAL OF IMMUNOPATHOLOGY AND PHARMACOLOGY>>, 2019; 33 (N.D.): N/A-N/A. [doi:10.1177/2058738419827154] [http://hdl.handle.net/10807/171612]
Lp-PLA 2 , a new biomarker of vascular disorders in metabolic diseases
Cardillo, Carmine;
2019
Abstract
Metabolic diseases are chronic disorders correlated to a greater risk of cardiovascular event and death. Recently, many data have sustained the biological link between microvascular dysfunction, oxidative stress, vascular inflammation, and metabolic diseases. The determination of new and specific blood biomarkers of vascular inflammation associated with obesity-related metabolic syndrome (MetS) and diabetes such as lipoprotein-associated phospholipase A 2 (Lp-PLA 2 ) could be useful to identify subject with high risk of cardiovascular events. Lp-PLA 2 participates by a crucial role in microvascular dysfunction and oxidative stress showing positive association with metabolic disorders. In this review, we will argue the evolving role of Lp-PLA 2 in predicting cardiovascular events in metabolic disease patients.File | Dimensione | Formato | |
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