Análisis multi-ómico de la estenosis aórtica degenerativa: procesos moleculares implicados en la calcificación de la válvula aórtica y papel de la aterosclerosis subyacente

Tesis inédita de la Universidad Complutense de Madrid, Facultad de Ciencias Biológicas, Departamento de Bioquímica y Biología Molecular, leída el 29-01-2015Sección Deptal. de Bioquímica y Biología Molecular (Biológicas)Fac. de Ciencias BiológicasTRUEunpu

Profundizando en la estenósis aórtica valvular: análisis proteómico del plasma

Comunicaciones a congreso

Characterization of individualized proteomic profiles in ST-segment elevation and no ST-segment elevation acute coronary syndrome

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Proteomics: a poweful tool to deepen the molecular mechanisms of ischemic stroke

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Hacia un completo entendimiento de la fisiopatología del síndrome coronario agudo mediante la combinación de estudios proteómicos y metabolómicos

Comunicaciones a congreso

Metabolómica: una nueva herramienta para el estudio conjunto de la aterosclerosis y la estenosis aórtica degenerativa

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Caracterización Proteómica in vivo de células endoteliales circulantes y células progenitoras de endoteliales an pacientes con síndrome coronario agudo

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Diabetes Mellitus and Its Implications in Aortic Stenosis Patients

Aortic stenosis (AS) and diabetes mellitus (DM) are both progressive diseases that if left untreated, result in significant morbidity and mortality. Several studies revealed that the prevalence of DM is substantially higher in patients with AS and, thus, the progression from mild to severe AS is greater in those patients with DM. DM and common comorbidities associated with both diseases, DM and AS, increase patient management complexity and make aortic valve replacement the only effective treatment. For that reason, a better understanding of the pathogenesis underlying both these diseases and the relationships between them is necessary to design more appropriate preventive and therapeutic approaches. In this review, we provided an overview of the main aspects of the relationship between AS and DM, including common comorbidities and risk factors. We also discuss the established treatments/therapies in patients with AS and DM

Prioritization of Candidate Biomarkers for Degenerative Aortic Stenosis through a Systems Biology-Based In-Silico Approach

Degenerative aortic stenosis is the most common valve disease in the elderly and is usually confirmed at an advanced stage when the only treatment is surgery. This work is focused on the study of previously defined biomarkers through systems biology and artificial neuronal networks to understand their potential role within aortic stenosis. The goal was generating a molecular panel of biomarkers to ensure an accurate diagnosis, risk stratification, and follow-up of aortic stenosis patients. We used in silico studies to combine and re-analyze the results of our previous studies and, with information from multiple databases, established a mathematical model. After this, we prioritized two proteins related to endoplasmic reticulum stress, thrombospondin-1 and endoplasmin, which have not been previously validated as markers for aortic stenosis, and analyzed them in a cell model and in plasma from human subjects. Large-scale bioinformatics tools allow us to extract the most significant results after using high throughput analytical techniques. Our results could help to prevent the development of aortic stenosis and open the possibility of a future strategy based on more specific therapies

Proteomic investigations into hypertension: What’s new and how might it affect clinical practice?

Introduction: Hypertension is a multifactorial disease that has, thus far, proven to be a difficult target for pharmacological intervention. The application of proteomic strategies may help to identify new biomarkers for the early diagnosis and prompt treatment of hypertension, in order to control blood pressure and prevent organ damage. Areas covered: Advances in proteomics have led to the discovery of new biomarkers to help track the pathophysiological processes implicated in hypertension. These findings not only help to better understand the nature of the disease, but will also contribute to the clinical needs for a timely diagnosis and more precise treatment. In this review, we provide an overview of new biomarkers identified in hypertension through the application of proteomic techniques, and we also discuss the difficulties and challenges in identifying biomarkers in this clinical setting. We performed a literature search in PubMed with the key words ‘hypertension’ and ‘proteomics’, and focused specifically on the most recent literature on the utility of proteomics in hypertension research. Expert opinion: There have been several promising biomarkers of hypertension identified by proteomics, but too few have been introduced to the clinic. Thus, further investigations in larger cohorts are necessary to test the feasibility of this strategy for patients. Also, this emerging field would profit from more collaboration between clinicians and researchers.Sin financiación3.614 JCR (2019) Q1, 19/77 Biochemical Research Methods0.979 SJR (2019) Q2, 155/456 Biochemistry; Q3, 206/414 Molecular BiologyNo data IDR 2019UE