The significance of lipid peroxidation in cardiovascular disease

• Autor(a) principal: Siegel, Günter
• Data de Publicação: 2014
• Outros Autores: Ermilov, Eugeny, Pries, Axel R., Winkler, Karl, Schmidt, Annette, Ringstad, Lovisa, Malmsten, Martin, Lindman, Björn
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10316/27482; https://doi.org/10.1016/j.colsurfa.2013.05.022
• topic: Clinical trial; Ellipsometry; Ginkgo biloba; Metabolic syndrome; Biomarkers; Personalized medicine

Background The metabolic syndrome describes a cluster of cardiovascular risk factors that frequently appear together. Its diagnosis is generally based on several well-recognized indicators in clinical practice, such as abdominal obesity, elevated triglycerides, reduced high-density lipoprotein, raised blood pressure, and elevated fasting plasma glucose. Today, decisive importance must be attached to the metabolic syndrome since it leads to increased morbidity and mortality, and thus to a decreased life expectancy, and to higher direct and indirect healthcare costs. This is also due to the fact that its symptomatology irradiates on many organs of the body, which may thereby be damaged. Methods In the present clinical trial on 11 metabolic syndrome patients treated with Ginkgo biloba (EGb 761, 2 × 120 mg/d) for two months, ellipsometry, fluorescence microscopy, photometric methods, ELISAs and EIAs were applied for biosensor profiling of metabolic syndrome risk, status and treatment outcome. Results A spectrum of more than 20 arteriosclerotic, cytokinic, inflammatory, lipidic, and oxidative stress biomarkers served for a detailed diagnosis and therapy monitoring. After medication, the ratio oxLDL/LDL was reduced by 21.0%, 8-iso-PGF2α 39.8%, MPO 29.6%, IL-6 12.9%, hs-CRP 39.3%, Lp(a) 26.3%, MMP-9 32.9%, insulin 9.4%, HOMA-IR 14.0%, ALP 14.8%, CREA 11.3%, URAC 10.6%, in vitro modeled nanoplaque formation 14.3% and size 23.4%, whereas SOD was augmented by 17.7%, GPx 11.6%, cAMP 43.5%, and cGMP 32.9%. Special focus was concentrated on the significance of lipid peroxidation for cardio-cerebro-vascular diseases. Through multiple correlations between the biomarkers and clinical parameters, their significance for and involvement in several clinical pictures could be elucidated. Conclusion The present clinical observational study was helpful in unraveling this network of biomarker interactions and demonstrated its usefulness for theranostics. For personalized medicine, the selection of the biomarkers is of decisive importance. On the background of a growing obesity among children and adolescents with an increase in prevalence of the metabolic syndrome, diagnosing this syndrome in young subjects may be helpful in identifying a population of risk for increased subclinical arteriosclerosis.