Today's view of hereditary thrombophilia.

Venous thromboembolism (VTE) is still a serious medical problem with the non-decreasing incidence of new cases despite prophylaxis in risky situations. It is a multifactorial disease, in which the hereditary component is also significantly involved. The aim of the current research is to search for new polymorphisms that are involved in thrombogenesis in addition to classical thrombophilia (deficiency of natural coagulation inhibitors and FVL and FII prothrombin mutations). The article provides an overview of the results of already performed genome-wide association studies of VTE and their use for the calculation of the so-called polygenic risk score, which could be used for individualized prevention of VTE after standardization of the method.

Targeted metabolomic analysis of plasma samples for the diagnosis of inherited metabolic disorders.

Metabolomics has become an important tool in clinical research and diagnosis of human diseases. In this work we focused on the diagnosis of inherited metabolic disorders (IMDs) in plasma samples using a targeted metabolomic approach. The plasma samples were analyzed with the flow injection analysis method. All the experiments were performed on a QTRAP 5500 tandem mass spectrometer (AB SCIEX, U.S.A.) with electrospray ionization. The compounds were measured in a multiple reaction monitoring mode. We analyzed 50 control samples and 34 samples with defects in amino acid metabolism (phenylketonuria, maple syrup urine disease, tyrosinemia I, argininemia, homocystinuria, carbamoyl phosphate synthetase deficiency, ornithine transcarbamylase deficiency, nonketotic hyperglycinemia), organic acidurias (methylmalonic aciduria, propionic aciduria, glutaric aciduria I, 3-hydroxy-3-methylglutaric aciduria, isovaleric aciduria), and mitochondrial defects (medium-chain acyl-coenzyme A dehydrogenase deficiency, carnitine palmitoyltransferase II deficiency). The controls were distinguished from the patient samples by principal component analysis and hierarchical clustering. Approximately 80% of patients were clearly detected by absolute metabolite concentrations, the sum of variance for first two principle components was in the range of 44-55%. Other patient samples were assigned due to the characteristic ratio of metabolites (the sum of variance for first two principle components 77 and 83%). This study has revealed that targeted metabolomic tools with automated and unsupervised processing can be applied for the diagnosis of various IMDs.

Molecular genetic analysis of SLC3A1 and SLC7A9 genes in Czech and Slovak cystinuric patients.

Cystinuria is a frequently inherited metabolic disorder in the Czech population (frequency 1/5,600) caused by a defect in the renal transport of cystine and dibasic amino acids (arginine, lysine and ornithine). The disease is characterized by increased urinary excretion of the amino acids and often leads to recurrent nephrolithiasis. Cystinuria is classified into two subtypes (type I and type non-I). Type I is caused predominantly by mutations in the SLC3A1 gene (2p16.3), encoding heavy subunit (rBAT) of the heterodimeric transporter. Cystinuria non-I type is caused by mutations in the SLC7A9 gene (19q13.1). In this study, we present results of molecular genetic analysis of the SLC3A1 and the SLC7A9 genes in 24 unrelated cystinuria families. Individual exons of the SLC3A1 and SLC7A9 genes were analyzed by direct sequencing. We found ten different mutations in the SLC3A1 gene including six novel ones: three missense mutations (G140R), D179Y and R365P), one splice site mutation (1137-2A>G), one deletion (1515_1516delAA), and one nonsense mutation (Q119X). The most frequent mutation, M467T; was detected in 36% of all type I classified alleles. In the SLC7A9 gene we found six mutations including three new ones: one missense mutation (G319R), one insertion (611_612insA) and one deletion (205_206delTG). One patient was compound heterozygote for one SLC3A1 and one SLC7A9 mutation. Our results confirm that cystinuria is a heterogeneous disorder at the molecular level, and contribute to the understanding of the distribution and frequency of mutations causing cystinuria in the Caucasian population.