Article abstract


Nature Immunology 10, 1081 - 1088 (2009)
Published online: 30 August 2009 | doi:10.1038/ni.1778

Carbohydrate-specific signaling through the DC-SIGN signalosome tailors immunity to Mycobacterium tuberculosis, HIV-1 and Helicobacter pylori

Sonja I Gringhuis1,2, Jeroen den Dunnen2,3,4, Manja Litjens2,4, Michiel van der Vlist1,2 & Teunis B H Geijtenbeek1,2


Cooperation between different innate signaling pathways induced by pattern-recognition receptors (PRRs) on dendritic cells (DCs) is crucial for tailoring adaptive immunity to pathogens. Here we show that carbohydrate-specific signaling through the C-type lectin DC-SIGN tailored cytokine production in response to distinct pathogens. DC-SIGN was constitutively associated with a signalosome complex consisting of the scaffold proteins LSP1, KSR1 and CNK and the kinase Raf-1. Mannose-expressing Mycobacterium tuberculosis and human immunodeficiency virus type 1 (HIV-1) induced the recruitment of effector proteins to the DC-SIGN signalosome to activate Raf-1, whereas fucose-expressing pathogens such as Helicobacter pylori actively dissociated the KSR1–CNK–Raf-1 complex from the DC-SIGN signalosome. This dynamic regulation of the signalosome by mannose- and fucose-expressing pathogens led to the enhancement or suppression of proinflammatory responses, respectively. Our study reveals another level of plasticity in tailoring adaptive immunity to pathogens.

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  1. Center of Infection and Immunity Amsterdam and Center for Experimental and Molecular Medicine, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
  2. Department of Molecular Cell Biology and Immunology, VU University Medical Center, Amsterdam, The Netherlands.
  3. Present address: Cell Biology and Histology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
  4. These authors contributed equally to this work.

Correspondence to: Sonja I Gringhuis1,2 e-mail: s.i.gringhuis@amc.uva.nl

Correspondence to: Teunis B H Geijtenbeek1,2 e-mail: t.b.geijtenbeek@amc.uva.nl




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