Usefulness of cardiac magnetic resonance in assessing the risk of ventricular arrhythmias and sudden death in patients with hypertrophic cardiomyopathy.

AIMS: To assess the relationship between cardiovascular magnetic resonance (CMR) parameters and both spontaneous ventricular tachycardia (VT) and risk of sudden cardiac death (SCD) in hypertrophic cardiomyopathy (HCM) patients. METHODS AND RESULTS: One hundred and eight consecutive HCM patients (mean age 42 +/- 15 years, 76% males) underwent CMR evaluation and risk assessment. Delayed contrast enhancement (DCE) was quantified with a specifically designed score. Endpoints were either the presence of clinical VT/ventricular fibrillation (VF) or of acknowledged risk factors for SCD. Compared to patients without arrhythmia, those with VT/VF (n = 33) had a higher DCE score [median 8 (2-13) vs. 11 (6-20); P = 0.01]; DCE score was also the only independent predictor of VT/VF in the multivariable model. DCE score [median 6 (1-10.5) vs. 12 (6-18); P = 0.001], mean and maximal left ventricular (LV) wall thickness (MaxLVWT), as well as LV mass index were significantly greater among patients at risk for SCD (n = 51) compared with the remaining 57 patients at low risk. DCE score and MaxLVWT were independent predictors of SCD risk. CONCLUSION: In HCM patients several CMR parameters are associated with risk for SCD. A semi-quantitative index of DCE is a significant multivariable predictor of both clinical VT/VF and of risk for SCD and may contribute to risk assessment in borderline or controversial cases.

Two novel and one known mutation of the TGFBR2 gene in Marfan syndrome not associated with FBN1 gene defects.

TGF-beta-receptor 2 (TGFBR2) gene defects have been recently associated with Marfan syndrome (MFS) with prominent cardio-skeletal phenotype in patients with negative fibrillin-1 (FBN1) gene screening. Four mutations have been identified to date in five unrelated families. We screened TGFBR2 gene by direct automated sequencing in two adult patients diagnosed with MFS according to Ghent criteria, and in one girl clinically suspected as affected on the basis of a major cardiovascular criterion and skeletal involvement, all proven not to carry mutations in the exon-intron boundaries of FBN1 gene. We identified two novel and one known TGFBR2 gene mutations in the three unrelated probands. The D446N was identified in a 4-year-old girl with de novo disease characterized by severe cardiovascular disease and skeletal involvement. The M425V and R460H mutations were identified in two familial, autosomal dominant MFSs, both characterized by major cardio-skeletal signs and absence of major ocular signs. The mutation R460H has been recently reported in a family with thoracic aortic aneurysms and dissection. The three mutations are absent in 192 controls and affect evolutionarily conserved residues of the serine/threonine kinase domain (exon 5). Our data support the recently reported association between TGFBR2 gene and MFS without major ocular signs (MFS2). The number of genotyped cases however is too low to confirm that major ocular signs are characteristically absent in MFS2. Accordingly, all patients proven or suspected to be affected by MFS with negative FBN1 gene screening could benefit from rapid investigation of the TGFBR2 gene.

Genetic Screening of Anderson-Fabry Disease in Probands Referred From Multispecialty Clinics.

BACKGROUND: Anderson-Fabry disease (AFD) is a rare X-linked lysosomal storage disease, caused by defects of the alpha-galactosidase A (GLA) gene. AFD can affect the heart, brain, kidney, eye, skin, peripheral nerves, and gastrointestinal tract. Cardiology (hypertrophic cardiomyopathy), neurology (cryptogenic stroke), and nephrology (end-stage renal failure) screening studies suggest the prevalence of GLA variants is 0.62%, with diagnosis confirmation in 0.12%. OBJECTIVES: This study sought to expand screening from these settings to include ophthalmology, dermatology, gastroenterology, internal medicine, pediatrics, and medical genetics to increase diagnostic yield and comprehensively evaluate organ involvement in AFD patients. METHODS: In a 10-year prospective multidisciplinary, multicenter study, we expanded clinical, genetic, and biochemical screening to consecutive patients enrolled from all aforementioned clinical settings. We tested the GLA gene and α-galactosidase A activity in plasma and leukocytes. Inclusion criteria comprised phenotypical traits and absence of male-to-male transmission. Screening was extended to relatives of probands harboring GLA mutations. RESULTS: Of 2,034 probands fulfilling inclusion criteria, 37 (1.8%) were carriers of GLA mutations. Cascade family screening identified 60 affected relatives; clinical data were available for 4 affected obligate carriers. Activity of α-galactosidase A in plasma and leukocytes was diagnostic in male subjects, but not in female subjects. Of the 101 family members harboring mutations, 86 were affected, 10 were young healthy carriers, and 5 refused clinical evaluation. In the 86 patients, involved organs or organ systems included the heart (69%), peripheral nerves (46%), kidney (45%), eye (37%), brain (34%), skin (32%), gastrointestinal tract (31%), and auditory system (19%). Globotriaosylceramide accumulated in organ-specific and non-organ-specific cells in atypical and classic variants, respectively. CONCLUSIONS: Screening probands with clinically suspected AFD significantly increased diagnostic yield. The heart was the organ most commonly involved, independent of the clinical setting in which the patient was first evaluated.

Transcriptomic and proteomic analysis in the cardiovascular setting: unravelling the disease?

Whole gene expression analysis through microarray technologies revolutionized the manner of identifying changes in biological events and complex diseases, such as cardiovascular settings. These new methodologies may scan up to 35 000 transcripts at once rather than screening a small amount of genes one at a time. The ability of microarrays to provide a broad insight into the disease process directly within the tissues provides a unique insight into the intracellular perturbations of the cell organization and function and sheds an entirely unique new perspective on the heart failure process. Commonalities and differences at the molecular level will identify critical pathways of pathogenesis, and response to therapy, or both: indeed, gene expression profiling holds tremendous promise for classifying clinical phenotypes, developing prognostic predictors and, most importantly, providing novel unbiased insights into the mechanisms underlying heart disease and, eventually, novel causative genes. On the contrary, established proteomic technologies, together with the new alternative strategies currently under evaluation (i.e. metabolomics), are now making possible the translation of data obtained on the bench to the daily clinical routine with the discovery of new diagnostic/prognostic biomarkers (such as troponin for ACS and BNP for congestive heart failure) and the identification of new therapeutic approaches for combating heart diseases. Finally, genomic studies (including transcriptomics) together with proteomics should not represent a challenge for who is going to win the final battle, but rather they should provide a setting in which together and in a complementary fashion the final fight against heart disease can be won.