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.

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.

Genetic Analysis of Familial Hypercholesterolemia in Iberoamerican Countries

The Iberoamerican Familial Hypercholesterolemia network (IBAFH_N) was created in 2013 to promote awareness for Familial Hypercholesterolemia (FH) in these countries – Argentina, Brazil, Chile, Mexico, Portugal, Spain, Uruguay and more recently Colombia – that share a past and history. The aim of this work was to perform a molecular analysis of FH mutations in Iberoamerica.

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.

Prospective longitudinal voxel-based morphometry study of major depressive disorder in young individuals at high familial risk

BACKGROUND Previous neuroimaging studies indicate abnormalities in cortico-limbic circuitry in mood disorder. Here we employ prospective longitudinal voxel-based morphometry to examine the trajectory of these abnormalities during early stages of illness development. METHOD Unaffected individuals (16-25 years) at high and low familial risk of mood disorder underwent structural brain imaging on two occasions 2 years apart. Further clinical assessment was conducted 2 years after the second scan (time 3). Clinical outcome data at time 3 was used to categorize individuals: (i) healthy controls ('low risk', n = 48); (ii) high-risk individuals who remained well (HR well, n = 53); and (iii) high-risk individuals who developed a major depressive disorder (HR MDD, n = 30). Groups were compared using longitudinal voxel-based morphometry. We also examined whether progress to illness was associated with changes in other potential risk markers (personality traits, symptoms scores and baseline measures of childhood trauma), and whether any changes in brain structure could be indexed using these measures. RESULTS Significant decreases in right amygdala grey matter were found in HR MDD v. controls (p = 0.001) and v. HR well (p = 0.005). This structural change was not related to measures of childhood trauma, symptom severity or measures of sub-diagnostic anxiety, neuroticism or extraversion, although cross-sectionally these measures significantly differentiated the groups at baseline. CONCLUSIONS These longitudinal findings implicate structural amygdala changes in the neurobiology of mood disorder. They also provide a potential biomarker for risk stratification capturing additional information beyond clinically ascertained measures.