Functional diversity of<i>NLRP3</i>gain-of-function mutants associated with CAPS autoinflammation
Abstract NLRP3-associated autoinflammatory disease (NLRP3-AID or CAPS) is an heterogenous group of monogenic autoinflammations associated withNLRP3gain-of-function mutations. The poor functional characterization of mostNLRP3variants is a barrier to diagnosis although patients can be efficiently treated with anti-IL-1 approaches. In addition, while NLRP3 inflammasome is controlled by coordinated priming and activation signals, gain-of-functions ofNLRP3variants have been only investigated in response to priming. Here, we functionally characterize 34NLRP3variantsin vitroby determining their activity in response to induction, priming and/or activation signals, and their sensitivity to inhibitors. We highlight the functional diversity of the gain-of-function mutants and describe four groups based on their profile of signals required for their activation, that correlate partly with the symptoms severities. We identify a new group ofNLRP3mutants responding to the activation signal without priming, with patients often misdiagnosed. Our results identify key NLRP3 residues controlling the inflammasome activity and sensitivity to inhibitors. The comparison of four inhibitors on the 34 variants identifies inhibitory mechanisms with broader efficiency for future drug design. Altogether, our results provide new insights on NLRP3 activation and an explanatory mechanism for NLRP3-AID heterogeneity, and original tools for NLRP3-AID diagnosis and anti-inflammatory disease drug development.eTOC Summary Functional characterization of 34 CAPS-associatedNLRP3variants identifies polymorphisms versus gain-of-function pathogenic mutants, and highlights diversities in the signals controlling their activation and in their sensitivity to inhibitors. This study provides tools for CAPS diagnosis and anti-inflammation drug development and insights on NLRP3 control mechanisms..
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Preprint| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
bioRxiv.org - (2023) vom: 26. Sept. Zur Gesamtaufnahme - year:2023 |
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| Sprache: |
Englisch |
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| Beteiligte Personen: |
Cosson, Camille [VerfasserIn] |
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| Links: |
Volltext [kostenfrei] |
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| doi: |
10.1101/2023.09.22.558949 |
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| PPN (Katalog-ID): |
XBI040979083 |
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| 520 | |a Abstract NLRP3-associated autoinflammatory disease (NLRP3-AID or CAPS) is an heterogenous group of monogenic autoinflammations associated withNLRP3gain-of-function mutations. The poor functional characterization of mostNLRP3variants is a barrier to diagnosis although patients can be efficiently treated with anti-IL-1 approaches. In addition, while NLRP3 inflammasome is controlled by coordinated priming and activation signals, gain-of-functions ofNLRP3variants have been only investigated in response to priming. Here, we functionally characterize 34NLRP3variantsin vitroby determining their activity in response to induction, priming and/or activation signals, and their sensitivity to inhibitors. We highlight the functional diversity of the gain-of-function mutants and describe four groups based on their profile of signals required for their activation, that correlate partly with the symptoms severities. We identify a new group ofNLRP3mutants responding to the activation signal without priming, with patients often misdiagnosed. Our results identify key NLRP3 residues controlling the inflammasome activity and sensitivity to inhibitors. The comparison of four inhibitors on the 34 variants identifies inhibitory mechanisms with broader efficiency for future drug design. Altogether, our results provide new insights on NLRP3 activation and an explanatory mechanism for NLRP3-AID heterogeneity, and original tools for NLRP3-AID diagnosis and anti-inflammatory disease drug development.eTOC Summary Functional characterization of 34 CAPS-associatedNLRP3variants identifies polymorphisms versus gain-of-function pathogenic mutants, and highlights diversities in the signals controlling their activation and in their sensitivity to inhibitors. This study provides tools for CAPS diagnosis and anti-inflammation drug development and insights on NLRP3 control mechanisms. | ||
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