TLR10 (CD290) Is a Regulator of Immune Responses in Human Plasmacytoid Dendritic Cells.
Pratik DebSukhwinder SinghEvelyne KalyoussefNicholas J HessRichard I TappingPatricia Fitzgerald-BocarslyPublished in: Journal of immunology (Baltimore, Md. : 1950) (2024)
TLRs are the most thoroughly studied group of pattern-recognition receptors that play a central role in innate immunity. Among them, TLR10 (CD290) remains the only TLR family member without a known ligand and clearly defined functions. One major impediment to studying TLR10 is its absence in mice. A recent study on TLR10 knock-in mice demonstrated its intrinsic inhibitory role in B cells, indicating that TLR10 is a potential drug target in autoimmune diseases. In this study, we interrogated the expression and function of TLR10 in human plasmacytoid dendritic cells (pDCs). We have seen that primary human pDCs, B cells, and monocytes constitutively express TLR10. Upon preincubation with an anti-TLR10 Ab, production of cytokines in pDCs was downregulated in response to stimulation with DNA and RNA viruses. Upon further investigation into the possible mechanism, we documented phosphorylation of STAT3 upon Ab-mediated engagement of TLR10. This leads to the induction of inhibitory molecule suppressor of cytokine signaling 3 (SOCS3) expression. We have also documented the inhibition of nuclear translocation of transcription factor IFN regulatory factor 7 (IRF7) in pDCs following TLR10 engagement. Our data provide the (to our knowledge) first evidence that TLR10 is constitutively expressed on the surface of human pDCs and works as a regulator of their innate response. Our findings indicate the potential of harnessing the function of pDCs by Ab-mediated targeting of TLR10 that may open a new therapeutic avenue for autoimmune disorders.
Keyphrases
- immune response
- dendritic cells
- toll like receptor
- inflammatory response
- endothelial cells
- transcription factor
- nuclear factor
- regulatory t cells
- emergency department
- poor prognosis
- metabolic syndrome
- machine learning
- social media
- multiple sclerosis
- skeletal muscle
- type diabetes
- long non coding rna
- cancer therapy
- minimally invasive
- risk assessment
- cell proliferation
- circulating tumor
- nucleic acid
- single molecule
- wild type
- cell free