Publications by authors named "Svetlana V Apalko"

Article Synopsis
  • tRNA-derived fragments (tRFs) serve both as biomarkers and signaling molecules in various disorders, with their expression patterns differing among blood cell types and changing with physiological conditions, such as during COVID-19.
  • The research compared tRF expression in different blood cells (erythrocytes, monocytes, lymphocytes, etc.) from both healthy donors and severe COVID-19 patients using fluorescence sorting and next-generation sequencing.
  • The study found significant changes in tRF patterns in multiple cell types during severe COVID-19, indicating that distinct blood cells respond differently to cytokine storms, which may involve regulation through nucleotide modifications and RNA enzyme activity alterations.
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Non-coding RNA expression has shown to have cell type-specificity. The regulatory characteristics of these molecules are impacted by changes in their expression levels. We performed next-generation sequencing and examined small RNA-seq data obtained from 6 different types of blood cells separated by fluorescence-activated cell sorting of severe COVID-19 patients and healthy control donors.

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Severe COVID-19 alters the biochemical and morphological characteristics of blood cells in a wide variety of ways. To date, however, the vast majority of research has been devoted to the study of leukocytes, while erythrocyte morphological changes have received significantly less attention. The aim of this research was to identify erythrocyte morphology abnormalities that occur in COVID-19, compare the number of different poikilocyte types, and measure erythrocyte sizes to provide data on size dispersion.

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Objective: A critical role in coronavirus disease 2019 (COVID-19) pathogenesis is played by immune dysregulation that leads to a generalized uncontrolled multisystem inflammatory response, caused by overproduction of proinflammatory cytokines, known as "a cytokine storm" (CS), strongly associated with a severe course of disease. The aim of this study is to identify prognostic biomarkers for CS development in COVID-19 patients and integrate them into a prognostic score for CS-associated risk applicable to routine clinical practice.

Materials And Methods: The authors performed a review of 458 medical records from COVID-19 patients (241 men and 217 women aged 60.

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Background: The Trichophyton rubrum species group consists of prevalent causative agents of human skin, nail and hair infections, including T rubrum sensu stricto and T violaceum, as well as other less well-established or debatable taxa like T soudanense, T kuryangei and T megninii. Our previous study provided limited evidence in favour of the existence of two genetic lineages in the Russian T rubrum sensu stricto population.

Objectives: We aimed to study the genetic structure of the Russian population of T rubrum and to identify factors shaping this structure.

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Candida auris is an emergent yeast pathogen, easily transmissible between patients and with high percent of multidrug resistant strains. Here we present a draft genome sequence of the first known Russian strain of C. auris, isolated from a case of candidemia.

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The fungi Trichophyton mentagrophytes and T. interdigitale are closely related species, causing superficial infections in humans and other mammals. The status of these taxa is a field of long-lasting debates.

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