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Autoinhibitory regulation of S100A8/S100A9 alarmin activity locally restricts sterile inflammation
Thomas Vogl, … , Thomas Pap, Johannes Roth
Thomas Vogl, … , Thomas Pap, Johannes Roth
Published April 3, 2018
Citation Information: J Clin Invest. 2018;128(5):1852-1866. https://doi.org/10.1172/JCI89867.
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Research Article Autoimmunity Inflammation

Autoinhibitory regulation of S100A8/S100A9 alarmin activity locally restricts sterile inflammation

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Abstract

Autoimmune diseases, such as psoriasis and arthritis, show a patchy distribution of inflammation despite systemic dysregulation of adaptive immunity. Thus, additional tissue-derived signals, such as danger-associated molecular patterns (DAMPs), are indispensable for manifestation of local inflammation. S100A8/S100A9 complexes are the most abundant DAMPs in many autoimmune diseases. However, regulatory mechanisms locally restricting DAMP activities are barely understood. We now unravel for the first time, to our knowledge, a mechanism of autoinhibition in mice and humans restricting S100-DAMP activity to local sites of inflammation. Combining protease degradation, pull-down assays, mass spectrometry, and targeted mutations, we identified specific peptide sequences within the second calcium-binding EF-hands triggering TLR4/MD2-dependent inflammation. These binding sites are free when S100A8/S100A9 heterodimers are released at sites of inflammation. Subsequently, S100A8/S100A9 activities are locally restricted by calcium-induced (S100A8/S100A9)2 tetramer formation hiding the TLR4/MD2-binding site within the tetramer interphase, thus preventing undesirable systemic effects. Loss of this autoinhibitory mechanism in vivo results in TNF-α–driven fatal inflammation, as shown by lack of tetramer formation in crossing S100A9–/– mice with 2 independent TNF-α–transgene mouse strains. Since S100A8/S100A9 is the most abundant DAMP in many inflammatory diseases, specifically blocking the TLR4-binding site of active S100 dimers may represent a promising approach for local suppression of inflammatory diseases, avoiding systemic side effects.

Authors

Thomas Vogl, Athanasios Stratis, Viktor Wixler, Tom Völler, Sumita Thurainayagam, Selina K. Jorch, Stefanie Zenker, Alena Dreiling, Deblina Chakraborty, Mareike Fröhling, Peter Paruzel, Corinna Wehmeyer, Sven Hermann, Olympia Papantonopoulou, Christiane Geyer, Karin Loser, Michael Schäfers, Stephan Ludwig, Monika Stoll, Tomas Leanderson, Joachim L. Schultze, Simone König, Thomas Pap, Johannes Roth

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Figure 1

S100A8/S100A9 tetramerization blocks inflammatory activity of the alarmin.

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S100A8/S100A9 tetramerization blocks inflammatory activity of the alarmi...
(A and B) Effects of hS100A9 and hS100A8 homodimers or hS100A8/S100A9 (A), mS100A8 homodimer (B), or hS100A8/S100A9, hS100A8/S100A9N69A, and hS100A8/S100A9E78A (C) on TNF-α production by monocytes quantified by ELISA after 4 hours of incubation (>1 mM calcium in culture medium). (D) Representative SEC runs of human (grhS100A8/S100A9, granulocytic prepared human S100A8/S100A9 [red and green curves]; rechS100A8/S100A9, recombinant prepared human S100A8/S100A9; rechS100A8/S100A9E78A, recombinant prepared human S100A8/S100A9E78A; rechS100A8, recombinant prepared human S100A8; rechS100A9, recombinant prepared human S100A9) and murine (recmS100A8/S100A9, recombinant prepared murine S100A8/S100A9;recmS100A8, recombinant prepared murine S100A8) S100 proteins in the absence (black and red curves) and presence of 100 μM Ca2+ ions (blue and green curves) (3 independent experiments). (E) Induction of TNF-α and IL-8 mRNA in HEK293 cells expressing TLR4-MD2-CD14 and treated with either 5 or 10 μg/ml of rhS100A8/S100A9 (left), 1 or 5 μg/ml rhS100A8/S100A9N69A (middle), or 1 or 5 μg/ml hS100A8/S100A9E78A (right) for 4 hours, as detected by qRT-PCR. Results are shown as relative to baseline expression in unstimulated cells. RPL was used as a housekeeping control gene. (F) Human monocytes were left untreated or stimulated with 5 μg/ml of either S100A8/S100A9, S100A9, or S100A8 or 1 ng/ml LPS for 4 hours. RNA was isolated and used for transcriptome analyses. The 1,000 most variable genes (FDR corrected, P < 0.05) within the data set were used for HC. Data were Z score–normalized and ranked according to changes in expression upon stimulus. Data represent mean ± SD of 5 independent experiments. *P < 0.05; **P < 0.01; ***P < 0.001, 2 tailed t test.

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