Semiology versus laboratory approaches: comparison between interarm blood preassure differences and APOB/APOA ratio

Nowadays complementary diagnostic methods are replacing clinical examination and semiology is loosing space in our clinical practice. One of our main concerns in clinical practice is to assess Cardiovascular risk (CVR). And previous studies reported an increased CVR with a divergence of 10mmhg or more measured between both arms-interarm blood pressure difference (IAD)

Looks Like FH But it’s not FH: Extended Lipid Profile of Paediatric Clinical FH Patients Reveals a Different Lipid Profile in FH Negative Patients

Aim: Familial Hypercholesterolemia (FH) is a common autosomal dominant disorder, caused by mutations in genes involved in cholesterol’s clearance (LDLR, APOB, PCSK 9). Clinical diagnosis is usually based on high total cholesterol or LDL-C levels and family history of premature coronary heart disease. Using an extended lipid profile of paediatric dyslipidemic patients, we aim to identify biomarkers for a better diagnosis of FH in clinical settings.

Construction of a New Familial Hypercholesterolemia Variant Data Base. A Systematic Review for a 2015 Update

Aims: Familial hypercholesterolemia (FH) is an autosomal dominant disorder with increased cardiovascular risk, caused by mutations in LDLR, APOB and PCSK 9 genes. Although it is described that over 1700 variants have been found, none of the existing databases are completely updated. The aim of this work is to construct a FH database in order to provide a unique source of verified information about variants associated with FH for a more accurate genetic diagnosis.

Network Analyis Approach to Find New Candidate Genes and Pathways Involved in the Pathophysiology of Familial Hypercholesterolemia

Introduction: Familial hypercholesterolaemia (FH) is a common genetic cause of premature coronary heart disease (CHD) due to lifelong elevated plasma low-density lipoprotein (LDL) levels. Worldwide only 40 % of patients (FH+) with a clinical diagnosis of FH carry a mutation in any of the three genes (namely: LDLR, APOB, PCSK 9) that are currently known to be associated to the disease. We guess that the remaining 60 % of the patients (FH-) probably includes a high percentage of individuals with a polygenic form of dyslipidemia or an environmental form of hypercholesterolemia and a small percentage of individuals with mutations in some novel genes, never associated before with dyslipidemias. Here we present the preliminary results of an integrative approach intended to identify new candidate genes and to dissect pathways that can be dysregulated in the disease.

Identification of novel biomarkers to distinguish polygenic and monogenic dyslipidemia system biology approach

Dyslipidaemia is one of the major cardiovascular risk factors, it can be due to primary causes (i.e. monogenic, characterized by a single gene mutation, or dyslipidaemia of polygenic/environmental causes), or secondary to specific disorders such as obesity, diabetes mellitus or hypothyroidism. Monogenic patients present the most severe phenotype and so they need to be identified in early age so pharmacologic treatment can be implemented to decrease the cardiovascular risk. However the majority of hyperlipidemic patients most likely have a polygenic disease that can be mainly controlled just by the implementation of a healthy lifestyle. Thus, the distinction between monogenic and polygenic dyslipidaemia is important for a prompt diagnosis, cardiovascular risk assessment, counselling and treatment. Besides the already stated biomarkers as LDL, apoB and apoB/apoA-I ratio, other promising (yet, needing further research) biomarkers for clinical differentiation between dyslipidaemias are apoE, sdLDL, apoC-2 and apoC-3. However, none of these biomarkers can explain the complex lipid profile of the majority of these patients.