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Endogenous double-stranded Alu RNA elements stimulate IFN-responses in relapsing remitting multiple sclerosis
Maxwell J Heinrich1, Caroline A Purcell1, Andrea J Pruijssers2
1Departments of Medicine, Vanderbilt University Medical Center, Nashville, TN 37212, USA.
Journal of Autoimmunity
|March 4, 2019
Summary
In relapsing-remitting multiple sclerosis (RRMS), immune cells show heightened interferon (IFN) responses. This response is triggered by the body's own double-stranded RNA from retrotransposons, not viruses.
Area of Science:
- Immunology
- Neuroscience
- Genetics
Background:
- Eukaryotic cells possess sensors for double-stranded RNA (dsRNA), typically of viral origin, which trigger interferon (IFN) responses.
- Elevated IFN responses are observed in various human autoimmune diseases, including relapsing-remitting multiple sclerosis (RRMS), but their source is unclear.
Purpose of the Study:
- To investigate the origins of IFN responses in leukocytes during relapsing-remitting multiple sclerosis.
- To determine if endogenous RNAs contribute to IFN responses in RRMS.
Main Methods:
- Quantified IFN responses in leukocytes from RRMS patients at different disease stages.
- Isolated endogenous RNAs from RRMS patient blood cells.
- Transfected these endogenous RNAs into naïve cells to assess IFN response induction.
- Characterized the nature of these endogenous RNAs, including their sequence elements and transcriptional origins.
Main Results:
- Leukocytes in RRMS patients exhibited increased IFN responses across distinct disease stages.
- Endogenous double-stranded RNAs isolated from RRMS patients' blood cells induced IFN responses when transfected into naïve cells.
- These endogenous dsRNAs contained Alu and Line elements and were transcribed from leukocyte enhancers.
Conclusions:
- Transcribed endogenous retrotransposon elements can activate pattern recognition sensors.
- This activation leads to IFN responses in relapsing-remitting multiple sclerosis.
- Endogenous dsRNAs from retrotransposons are a likely source of IFN responses in RRMS.
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