Materials Map

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2023Changes in the Cytokine Profile in Patients During COVID-19 Infection2citations

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Chart of shared publication
Popov, C.
1 / 3 shared
Bilyukov, R.
1 / 1 shared
Kundurzhiev, T.
1 / 1 shared
Ivanov, N.
1 / 1 shared
Naumova, E.
1 / 2 shared
Chart of publication period
2023

Co-Authors (by relevance)

  • Popov, C.
  • Bilyukov, R.
  • Kundurzhiev, T.
  • Ivanov, N.
  • Naumova, E.
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article

Changes in the Cytokine Profile in Patients During COVID-19 Infection

  • Popov, C.
  • Bilyukov, R.
  • Kundurzhiev, T.
  • Ivanov, N.
  • Mihailova, S.
  • Naumova, E.
Abstract

<jats:title>Abstract</jats:title><jats:p>COVID-19 has proven to be a disease that affects not only the respiratory tract but also leads to a state of generalized systemic hyperinflammation and overall immune dysregulation. An important role in its pathogenesis is the disturbance of many cytokines – a condition which, in its most pronounced form, is also called a „cytokine storm“.</jats:p><jats:sec><jats:title>Objective</jats:title><jats:p>To evaluate the serum cytokine levels during COVID-19 infection as potential biomarkers for the severity and course of infection.</jats:p></jats:sec><jats:sec><jats:title>Materials and methods</jats:title><jats:p>By design, the study is a retrospective cross-sectional, in which the serum concentrations of 10 pro- and anti-inflammatory cytokines (IFN-γ, IL-1β, IL-2, IL-4, IL-5, IL-6, IL-8, IL-10, TNF-α, and GM-CSF) were investigated in 36 individuals (divided into 3 groups by severity – with a mild form of the infection/presymptomatic, moderately severe and severe/critical) within two periods – before and after the second week from the onset of symptoms of the disease.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>In the period up to the 2nd week, the serum concentrations of IFN-γ (p = 0.029), IL-1β (p = 0.017), and IL-5 (p = 0.014) showed a statistically significant correlation with the disease severity, however in the later stage of the disease the cytokine levels did not show any clinical value.</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>Cytokine testing could be used to predict the severity of COVID-19 infection which could support individual therapeutic decisions. Analysis of a larger group of patients is needed to unfold the full potential of such testing.</jats:p></jats:sec>

Topics
  • impedance spectroscopy
  • size-exclusion chromatography