Genetic predictors of sick sinus syndrome.

Sick sinus syndrome (SSS) encompasses a group of conduction disorders characterized by the inability of sinoatrial node to perform its pacemaker function. Our aim was to identify genetic predictors of SSS in a prospective cohort of patients admitted to the clinic for pacemaker implantation using single-locus and multilocus approaches. We performed genotyping for polymorphic markers of CLCNKA (rs10927887), SCN10A (rs6795970), FNDC3B (rs9647379), MIR146A (rs2910164), SYT10 (rs7980799), MYH6 (rs365990), and KCNE1 (rs1805127) genes in the group of 284 patients with SSS and 243 healthy individuals.

Comparison of the Microbiota and Inorganic Anion Content in the Saliva of Patients with Gastroesophageal Reflux Disease and Gastroesophageal Reflux Disease-Free Individuals.

The oral cavity is one of the most complex microbial environments; however, the complex nature of the salivary microbiota and the level of inorganic anions in the saliva of subjects with and without gastroesophageal reflux disease (GERD) are poorly understood. The primary goals of this pilot research were to assess differences in salivary bacterial community composition and inorganic anion concentrations between patients with GERD and GERD-free people. Thus, the salivary microbiota within both groups was dominated by these genera: Streptococcus, Prevotella, Porphyromonas, Veillonella, Neisseria, Haemophilus, Fusobacterium, Rothia, and Leptotrichia.

[Direct evidences of calcium traffic through pacemaker channel].

Recently, it was shown that pacemaker f/HCN channel might be permeable not only for Na+ and K+, but also for calcium ions. Pacemaker channel HCN2 was expressed in ovarian cell culture of Chinese hamster. In the patch clamp experiments the calcium current with low amplitude 0.

[Evaluation of the health status of stonemasons].

Thorough study of work conditions and health state of stone masons proved physical overload to be a principal factor in charge of the occupational diseases. The physical overload is associated with prevalent manual tasks, frequent monotonous movements, lifting and manual carriage of heavy net weight during the working shift, uncomfortable working postures, unfavorable climate conditions. Nearly half (55.