Microbiological and clinical aspects of the infections caused by Streptococcus pneumoniae in children

The purpose of this study was to determine the role of Streptococcus pneumoniae in the etiological structure of infectious diseases in children at the age from 3 months to 17 years and evaluation of resistance to antimicrobial drugs among the strains of S. pneumoniae isolated in 2002 - 2011. The percentage of S. pneumoniae isolation in cases of middle ear inflammation was equal to 20.9%; rhinosinusitis - 30.7%; acute purulent destructive pneumonia - 5.4%, chronic infectious inflammatory pulmonary diseases -18.4% . Analysis of antibiotic resistance was carried out for 277 strains of S. pneumoniae isolated from various clinical materials. Resistance to penicillin was determined in 22.4% of isolates, to trimethoprim/sulfamethoxazole — 63.7%, to erythromycin and clindamycin -16.7% and 13.5% respectively.Целью исследования явилось определение роли Streptococcus pneumoniae в этиологической структуре инфекционных заболеваний у детей в возрасте от 3 месяцев до 17 лет и установление резистентности штаммов, выделенных в 2002-2011 годах, к антимикробным препаратам. Доля S. pneumoniae при среднем отите составила 20,9%; при риносинусите - 30,7%; при острой гнойно-деструктивной пневмонии - 5,4%, при хронических инфекционно-воспалительных заболеваниях легких -18,4% . Проведен анализ антибиотикограмм 277 штаммов S. pneumoniae, выделенных из различных клинических материалов. Уровень резистентности S. pneumoniae к пенициллину - 22,4%, триметоприму/сульфаметоксазолу - 63,7%, эритромицину и клиндамицину -16,7% и 13,5%, соответственно

Direct Ubiquitin Independent Recognition and Degradation of a Folded Protein by the Eukaryotic Proteasomes-Origin of Intrinsic Degradation Signals

Eukaryotic 26S proteasomes are structurally organized to recognize, unfold and degrade globular proteins. However, all existing model substrates of the 26S proteasome in addition to ubiquitin or adaptor proteins require unstructured regions in the form of fusion tags for efficient degradation. We report for the first time that purified 26S proteasome can directly recognize and degrade apomyoglobin, a globular protein, in the absence of ubiquitin, extrinsic degradation tags or adaptor proteins. Despite a high affinity interaction, absence of a ligand and presence of only helices/loops that follow the degradation signal, apomyoglobin is degraded slowly by the proteasome. A short floppy F-helix exposed upon ligand removal and in conformational equilibrium with a disordered structure is mandatory for recognition and initiation of degradation. Holomyoglobin, in which the helix is buried, is neither recognized nor degraded. Exposure of the floppy F-helix seems to sensitize the proteasome and primes the substrate for degradation. Using peptide panning and competition experiments we speculate that initial encounters through the floppy helix and additional strong interactions with N-terminal helices anchors apomyoglobin to the proteasome. Stabilizing helical structure in the floppy F-helix slows down degradation. Destabilization of adjacent helices accelerates degradation. Unfolding seems to follow the mechanism of helix unraveling rather than global unfolding. Our findings while confirming the requirement for unstructured regions in degradation offers the following new insights: a) origin and identification of an intrinsic degradation signal in the substrate, b) identification of sequences in the native substrate that are likely to be responsible for direct interactions with the proteasome, and c) identification of critical rate limiting steps like exposure of the intrinsic degron and destabilization of an unfolding intermediate that are presumably catalyzed by the ATPases. Apomyoglobin emerges as a new model substrate to further explore the role of ATPases and protein structure in proteasomal degradatio

NIBBS-Search for Fast and Accurate Prediction of Phenotype-Biased Metabolic Systems

Understanding of genotype-phenotype associations is important not only for furthering our knowledge on internal cellular processes, but also essential for providing the foundation necessary for genetic engineering of microorganisms for industrial use (e.g., production of bioenergy or biofuels). However, genotype-phenotype associations alone do not provide enough information to alter an organism's genome to either suppress or exhibit a phenotype. It is important to look at the phenotype-related genes in the context of the genome-scale network to understand how the genes interact with other genes in the organism. Identification of metabolic subsystems involved in the expression of the phenotype is one way of placing the phenotype-related genes in the context of the entire network. A metabolic system refers to a metabolic network subgraph; nodes are compounds and edges labels are the enzymes that catalyze the reaction. The metabolic subsystem could be part of a single metabolic pathway or span parts of multiple pathways. Arguably, comparative genome-scale metabolic network analysis is a promising strategy to identify these phenotype-related metabolic subsystems. Network Instance-Based Biased Subgraph Search (NIBBS) is a graph-theoretic method for genome-scale metabolic network comparative analysis that can identify metabolic systems that are statistically biased toward phenotype-expressing organismal networks. We set up experiments with target phenotypes like hydrogen production, TCA expression, and acid-tolerance. We show via extensive literature search that some of the resulting metabolic subsystems are indeed phenotype-related and formulate hypotheses for other systems in terms of their role in phenotype expression. NIBBS is also orders of magnitude faster than MULE, one of the most efficient maximal frequent subgraph mining algorithms that could be adjusted for this problem. Also, the set of phenotype-biased metabolic systems output by NIBBS comes very close to the set of phenotype-biased subgraphs output by an exact maximally-biased subgraph enumeration algorithm ( MBS-Enum ). The code (NIBBS and the module to visualize the identified subsystems) is available at http://freescience.org/cs/NIBBS

High-efficiency translational bypassing of non-coding nucleotides specified by mRNA structure and nascent peptide.

The gene product 60 (gp60) of bacteriophage T4 is synthesized as a single polypeptide chain from a discontinuous reading frame as a result of bypassing of a non-coding mRNA region of 50 nucleotides by the ribosome. To identify the minimum set of signals required for bypassing, we recapitulated efficient translational bypassing in an in vitro reconstituted translation system from Escherichia coli. We find that the signals, which promote efficient and accurate bypassing, are specified by the gene 60 mRNA sequence. Systematic analysis of the mRNA suggests unexpected contributions of sequences upstream and downstream of the non-coding gap region as well as of the nascent peptide. During bypassing, ribosomes glide forward on the mRNA track in a processive way. Gliding may have a role not only for gp60 synthesis, but also during regular mRNA translation for reading frame selection during initiation or tRNA translocation during elongation

Modulation of HIV-1 Gag/Gag-Pol frameshifting by tRNA abundance.

A hallmark of translation in human immunodeficiency virus type 1 (HIV-1) is a -1 programmed ribosome frameshifting event that produces the Gag-Pol fusion polyprotein. The constant Gag to Gag-Pol ratio is essential for the virion structure and infectivity. Here we show that the frameshifting efficiency is modulated by Leu-tRNALeu that reads the UUA codon at the mRNA slippery site. This tRNALeu isoacceptor is particularly rare in human cell lines derived from T-lymphocytes, the cells that are targeted by HIV-1. When UUA decoding is delayed, the frameshifting follows an alternative route, which maintains the Gag to Gag-Pol ratio constant. A second potential slippery site downstream of the first one is normally inefficient but can also support -1-frameshifting when altered by a compensatory resistance mutation in response to current antiviral drug therapy. Together these different regimes allow the virus to maintain a constant -1-frameshifting efficiency to ensure successful virus propagation