Diabetic vascular disease and Maturity-onset diabetes of the young

Aim: Vascular disease such as cardiovascular and cerebrovascular diseases, or retinopathy, nephropathy and neuropathy are common in diabetes. Maturity - onset diabetes of the young (MODY) describes a clinically heterogeneous group of familial diabetes characterized by monogenic, autosomal dominant inheritance that generally results from beta cell dysfunction. This study aims to assess the presence of vascular complications on Portuguese patients with a clinical diagnosis of MODY.

Will Familial Hypercholesterolaemia Cohorts Hide Many More Lisosomal Acid Lipase Deficiency Patients?

Aims: Lisosomal Acid Lipase Deficiency (LALD), historical known as Cholesterol Ester Storage Disease (CESD), is an autosomal lisosomal storage recessive disorder and an unrecognized cause of dyslipidaemia. Mutations in LIPA gene are the underlying cause of LALD, being a mutation in the splice site of exon 8 the most common cause of the disease. Patients with LALD present dyslipidaemia and altered liver function. The aim of this work was to analyze LIPA gene in patients with unexplained dyslipidaemia.

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.

Using percentiles to diagnose familial hypercholesterolemia in Portugal

Aims: Familial hypercholesterolemia (FH) is a genetic disorder of lipid metabolism, clinically characterised by high levels of low-density lipoprotein cholesterol (LDL-C) that leads to cholesterol accumulation in tendons and arteries, premature atherosclerosis and increased risk of premature coronary heart disease. In 1999, the Portuguese FH Study was established at the National Institute of Health to identify the genetic cause of hypercholesterolemia in individuals with a clinical diagnosis of FH and to perform an epidemiologic study to determine the prevalence and distribution of FH in Portugal. In the last 16 years, a genetic defect was identified in 749 patients, representing 3. 7 % of the cases estimated to exist in Portugal. Index patients were included in this study using the Simon Broome (SB) criteria. However, there are different FH clinical criteria to diagnose index cases. Since there are no clinical criteria to identify relatives with FH, the aim of this work was to investigate if a diagnostic tool based on population specific 95 th percentile improves the clinical identification of Portuguese FH patients comparing with SB criteria.

Network analysis approach to find new candidate genes and pathways involved in the pathophysiology of familial hypercholesterolemia

Still a big gap exists between clinical and genetic diagnosis of dyslipidemic disorders. Almost the 60% of the patients with a clinical diagnosis of Familial hypercholesterolemia (FH) still lack of a genetic diagnosis. 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. Interesting hits will be subsequently knocked down in vitro in order to evaluate their functional role in the uptake of fluorescently-labeled LDL and free cell cholesterol using automated microscopy.