VIOLATION OF INFORMATION ECOLOGY IN MEDIA SPACE

The extreme “pollution” of the global information space has a negative impact on the social well-being of the population for media space is a kind of social space covered by the media. It is necessary to create an effective system of legal protection and social guarantees so that any citizen can receive minimal social protection and be protected from the negative impact of the adverse ecology of the mass media. Not everyone who is experiencing intense exposure to the media is aware of its negative effects including “fatigue syndrome”. To prevent it, D. Lewis proposes the following algorithm: use all information technologies of business and everyday communication; improve the methods of studying and processing data; set the right priorities for their analysis and use [26]. All media and actors that interact with them must master information culture, for which it is necessary to train specialists in the field of media ecology who are aware of the influence of media and social technologies on people’s feelings, thoughts, values and behavior. So far, experts on media ecology do not have a sufficient theoretical basis for conducting sociological research and identifying how the media forces the audience to structure what it sees, hears and feels in a certain way. Today’s media (especially electronic) can have a violent and undesirable effect - this is not only a psychological but also a philosophical, social and cultural problem that affects both children and adults. “Information anarchy” leads not only to moderate negative consequences but in some cases to “information ecocide” - destruction of traditional information and the media. Countering the contamination of the information environment should include the following steps: development of requirements for the content creation; monitoring of the collection, storage, processing and destruction of information; development of criteria for assessing the use of information. It is necessary to introduce a single rating system for information products, which will allow users to evaluate the quality of information sources according to the following criteria: purity of information; work on creating content; source coverage; quality (completeness) of information; sources of specific data sets; social-demographic characteristics of potential users

Dimerisation induced formation of the active site and the identification of three metal sites in EAL-phosphodiesterases

The bacterial second messenger cyclic di-3′,5′-guanosine monophosphate (c-di-GMP) is a key regulator of bacterial motility and virulence. As high levels of c-di-GMP are associated with the biofilm lifestyle, c-di-GMP hydrolysing phosphodiesterases (PDEs) have been identified as key targets to aid development of novel strategies to treat chronic infection by exploiting biofilm dispersal. We have studied the EAL signature motif-containing phosphodiesterase domains from the Pseudomonas aeruginosa proteins PA3825 (PA3825EAL) and PA1727 (MucREAL). Different dimerisation interfaces allow us to identify interface independent principles of enzyme regulation. Unlike previously characterised two-metal binding EAL-phosphodiesterases, PA3825EAL in complex with pGpG provides a model for a third metal site. The third metal is positioned to stabilise the negative charge of the 5′-phosphate, and thus three metals could be required for catalysis in analogy to other nucleases. This newly uncovered variation in metal coordination may provide a further level of bacterial PDE regulation

Henoch’s disease complicated by intestinal intussusception in a 5-year-old child

Abdominal syndrome accompanied by abdominal pains is common in children with Henoch’s disease. One of the rare complications of the syndrome may be bowel intussusception. The paper describes a case of Henoch’s disease complicated intestinal intussusception

Spectrum and Frequency of the GJB2 Gene Pathogenic Variants in a Large Cohort of Patients with Hearing Impairment Living in a Subarctic Region of Russia (the Sakha Republic).

Pathogenic variants in the GJB2 gene, encoding connexin 26, are known to be a major cause of hearing impairment (HI). More than 300 allelic variants have been identified in the GJB2 gene. Spectrum and allelic frequencies of the GJB2 gene vary significantly among different ethnic groups worldwide. Until now, the spectrum and frequency of the pathogenic variants in exon 1, exon 2 and the flanking intronic regions of the GJB2 gene have not been described thoroughly in the Sakha Republic (Yakutia), which is located in a subarctic region in Russia. The complete sequencing of the non-coding and coding regions of the GJB2 gene was performed in 393 patients with HI (Yakuts-296, Russians-51, mixed and other ethnicities-46) and in 187 normal hearing individuals of Yakut (n = 107) and Russian (n = 80) populations. In the total sample (n = 580), we revealed 12 allelic variants of the GJB2 gene, 8 of which were recessive pathogenic variants. Ten genotypes with biallelic recessive pathogenic variants in the GJB2 gene (in a homozygous or a compound heterozygous state) were found in 192 out of 393 patients (48.85%). We found that the most frequent GJB2 pathogenic variant in the Yakut patients was c.-23+1G>A (51.82%) and that the second most frequent was c.109G>A (2.37%), followed by c.35delG (1.64%). Pathogenic variants с.35delG (22.34%), c.-23+1G>A (5.31%), and c.313_326del14 (2.12%) were found to be the most frequent among the Russian patients. The carrier frequencies of the c.-23+1G>A and с.109G>A pathogenic variants in the Yakut control group were 10.20% and 2.80%, respectively. The carrier frequencies of с.35delG and c.101T>C were identical (2.5%) in the Russian control group. We found that the contribution of the GJB2 gene pathogenic variants in HI in the population of the Sakha Republic (48.85%) was the highest among all of the previously studied regions of Asia. We suggest that extensive accumulation of the c.-23+1G>A pathogenic variant in the indigenous Yakut population (92.20% of all mutant chromosomes in patients) and an extremely high (10.20%) carrier frequency in the control group may indicate a possible selective advantage for the c.-23+1G>A carriers living in subarctic climate

Analysis of Pseudomonas aeruginosa diguanylate cyclases and phosphodiesterases reveals a role for bis-(3′-5′)-cyclic-GMP in virulence

The opportunistic pathogen Pseudomonas aeruginosa is responsible for systemic infections in immunocompromised individuals and chronic respiratory disease in patients with cystic fibrosis. Cyclic nucleotides are known to play a variety of roles in the regulation of virulence-related factors in pathogenic bacteria. A set of P. aeruginosa genes, encoding proteins that contain putative domains characteristic of diguanylate cyclases (DGCs) and phosphodiesterases (PDEs) that are responsible for the maintenance of cellular levels of the second messenger bis-(3′-5′)-cyclic dimeric GMP (c-di-GMP) was identified in the annotated genomes of P. aeruginosa strains PAO1 and PA14. Although the majority of these genes are components of the P. aeruginosa core genome, several are located on presumptive horizontally acquired genomic islands. A comprehensive analysis of P. aeruginosa genes encoding the enzymes of c-di-GMP metabolism (DGC- and PDE-encoding genes) was carried out to analyze the function of c-di-GMP in two disease-related phenomena, cytotoxicity and biofilm formation. Analysis of the phenotypes of DGC and PDE mutants and overexpressing clones revealed that certain virulence-associated traits are controlled by multiple DGCs and PDEs through alterations in c-di-GMP levels. A set of mutants in selected DGC- and PDE-encoding genes exhibited attenuated virulence in a mouse infection model. Given that insertions in different DGC and PDE genes result in distinct phenotypes, it seems likely that the formation or degradation of c-di-GMP by these enzymes is in highly localized and intimately linked to particular targets of c-di-GMP action

Prevalence of congenital HI caused by biallelic <i>GJB2</i> pathogenic variants in the Sakha Republic.

<p>Note: The territory of the Sakha Republic is shown in blue (bottom map). HI rates were calculated per 10,000 people, and appropriate data are presented only for the districts and cities of the Sakha Republic with population more than 10,000. Detailed data are presented in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0156300#pone.0156300.s001" target="_blank">S1 Table</a>.</p