Unlabelled: was to develop an algorithm for the selection of discriminating probes to identify a wide range of causative agents of human infectious diseases.
Materials And Methods: The algorithm for selecting the probes was implemented in the form of the disprose (DIScrimination PRObe SElection) computer program written in the R language. Additionally, third-party software was used: the BLAST+ and ViennaRNA Package programs.
The characteristics of resistome and virulome structure of four carbapenem-resistant Klebsiella pneumoniae clinical strains are present in the work. Two strains belonged to the sequence-type ST395, one strain - ST2262, one strain - to the new sequence-type 5816. The genes of fimbriae, enterobactin, beta-lactamase SHV type, resistance to fosfomycin fosA and transport of fluoroquinolones oqxAB in all Klebsiella strains chromosome structure were identified.
View Article and Find Full Text PDFObjectives: Our study aimed to evaluate the cytokine levels in pediatric chronic non-bacterial osteomyelitis (CNO) patients and compare these with other immune-mediated diseases and healthy controls.
Methods: In this prospective study, we included 42 children with CNO, 28 patients with non-systemic juvenile idiopathic arthritis (JIA), 17 children with insulin-dependent diabetes mellitus (IDDM), and 30 healthy age-matched controls. In each of the CNO patients and comparison groups, the levels of 14-3-3-η protein, S100A8/A9 protein, interleukin-4 (IL-4), interleukin-17 (IL-17), interleukin-18 (IL-18), interleukin-1β (IL-1β), tumor necrosis factor-α (TNF-α) were measured by ELISA assay.
The genome structure of three ciprofloxacin-resistant clinical isolates was studied using next-generation sequencing on the Illumina platform. The protein sequences of the studied strains were found to have a high degree of homology. (M45, M57, MH1866) was shown to have limited biosynthetic capabilities, associated with the predominance of the genes encoding the proteins involved in catabolic processes.
View Article and Find Full Text PDFPrimary immune deficiencies are usually attributed to genetic defects and, therefore, frequently referred to as inborn errors of immunity (IEI). We subjected the genomic DNA of 333 patients with clinical signs of IEI to next generation sequencing (NGS) analysis of 344 immunity-related genes and, in some instances, additional genetic techniques. Genetic causes of the disease were identified in 69/333 (21%) of subjects, including 11/18 (61%) of children with syndrome-associated IEIs, 45/202 (22%) of nonsyndromic patients with Jeffrey Modell Foundation (JMF) warning signs, 9/56 (16%) of subjects with periodic fever, 3/30 (10%) of cases of autoimmune cytopenia, 1/21 (5%) of patients with unusually severe infections and 0/6 (0%) of individuals with isolated elevation of IgE level.
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