2026-07-01T08:55:20Zhttps://repisalud.isciii.es/rest/oai/request

oai:repisalud.isciii.es:20.500.12105/65662024-09-27T10:15:09Zcom_20.500.12105_19604com_20.500.12105_2051col_20.500.12105_19607

00925njm 22002777a 4500 dc Baldan-Martin, Montserrat author Lopez, Juan Antonio author Corbacho-Alonso, Nerea author Martinez, Paula J author Rodriguez-Sanchez, Elena author Mourino-Alvarez, Laura author Sastre-Oliva, Tamara author Martin-Rojas, Tatiana author Rincón, Raul author Calvo, Eva author Vazquez, Jesus author Vivanco, Fernando author Padial, Luis R author Alvarez-Llamas, Gloria author Ruiz-Hurtado, Gema author Ruilope, Luis M author Barderas, Maria G author 2018-03-19 The evaluation of cardiovascular (CV) risk is based on equations derived from epidemiological data in individuals beyond the limits of middle age such as the Framingham and SCORE risk assessments. Lifetime Risk calculator (QRisk®), estimates CV risk throughout a subjects' lifetime, allowing those. A more aggressive and earlier intervention to be identified and offered protection from the consequences of CV and renal disease. The search for molecular profiles in young people that allow a correct stratification of CV risk would be of great interest to adopt preventive therapeutic measures in individuals at high CV risk. To improve the selection of subjects susceptible to intervention with aged between 30-50 years, we have employed a multiple proteomic strategy to search for new markers of early CV disease or reported CV events and to evaluate their relationship with Lifetime Risk. Blood samples from 71 patients were classified into 3 groups according to their CV risk (healthy, with CV risk factors and with a previously reported CV event subjects) and they were analyzed using a high through quantitative proteomics approach. This strategy allowed three different proteomic signatures to be defined, two of which were related to CV stratification and the third one involved markers of organ damage. Sci Rep. 2018; 8(1):4802 10.1038/s41598-018-23037-7 2045-2322 2045-2322 Scientific reports 29555916 http://hdl.handle.net/20.500.12105/6566 Plasma Cardiovascular risk Asymptomatic Biomarkers Proteomics SRM Potential role of new molecular plasma signatures on cardiovascular risk stratification in asymptomatic individuals