Detection of Interleukin-19 mRNA in C57BL/6 Mice Astroglial Cells and Brain Cortex

Bahareh Abd Nikfarjam,M. Ebtekar,F. Sabouni,Z. Pourpak,M. Kheirandish

Published 2014 in Basic and Clinical Neuroscience

ABSTRACT

Introduction Astrocytes are the most abundant glial cell type. In addition to their neurological roles, astrocytes also have immune functions. They have been involved in antigen presentation in the central nervous system (CNS). Activated astrocytes express adhesion molecules, chemokines and release several inflammatory mediators, pro-inflammatory cytokines, neurotrophic and neuroprotective factors, thus these cells have a dual role within the CNS: neuroinflammation and repair processes. IL-19, IL-20, IL-22, IL-24, IL-26, IL-28A, IL-28B, and IL-29 are members of the IL-10 family of cytokines. These cytokines have different biological functions in spite of partial amino acid sequences homology. Signal transduction of the IL-10 family of cytokines is through R1-type and R2-type receptors. Methods No information has been available about the expression and regulation of IL-19 in mice astrocytes and brain. To investigate the expression of IL-19, we examined its expression in C57BL/6 mice astroglial cells in response to lipopolysaccharide (LPS), using reverse-transcription polymerase chain reaction (RT-PCR) method. Results We provide for the first time, evidence that astrocytes can express IL-19 mRNA following LPS stimulation. Furthermore, we have found the expression of IL-19 mRNA in the cortex of adult C57BL/6 mice following intraperitoneal (i.p.) administration of LPS. Discussion This finding will contribute to current knowledge on the function and behavior of cells and mediators during inflammatory conditions in the brain.

PUBLICATION RECORD

  • Publication year

    2014

  • Venue

    Basic and Clinical Neuroscience

  • Publication date

    Unknown publication date

  • Fields of study

    Biology, Medicine

  • Identifiers
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar, PubMed

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REFERENCES

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