Identification of eight novel proteasome variants in five unrelated cases of proteasome-associated autoinflammatory syndromes (PRAAS)

Front Immunol. 2023 Aug 4:14:1190104. doi: 10.3389/fimmu.2023.1190104. eCollection 2023.

Abstract

Mutations in genes coding for proteasome subunits and/or proteasome assembly helpers typically cause recurring autoinflammation referred to as chronic atypical neutrophilic dermatosis with lipodystrophy and elevated temperatures (CANDLE) or proteasome-associated autoinflammatory syndrome (PRAAS). Patients with CANDLE/PRAAS present with mostly chronically elevated type I interferon scores that emerge as a consequence of increased proteotoxic stress by mechanisms that are not fully understood. Here, we report on five unrelated patients with CANDLE/PRAAS carrying novel inherited proteasome missense and/or nonsense variants. Four patients were compound heterozygous for novel pathogenic variants in the known CANDLE/PRAAS associated genes, PSMB8 and PSMB10, whereas one patient showed additive loss-of-function mutations in PSMB8. Variants in two previously not associated proteasome genes, PSMA5 and PSMC5, were found in a patient who also carried the PSMB8 founder mutation, p.T75M. All newly identified mutations substantially impact the steady-state expression of the affected proteasome subunits and/or their incorporation into mature 26S proteasomes. Our observations expand the spectrum of PRAAS-associated genetic variants and improve a molecular diagnosis and genetic counseling of patients with sterile autoinflammation.

Keywords: PSMA5; PSMB10; PSMB8; PSMC5; interferonopathy; proteasome associated autoinflammatory syndrome; proteasomopathy; type I interferon.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, N.I.H., Extramural

MeSH terms

  • Cytoplasm
  • Dermatitis*
  • Humans
  • Proteasome Endopeptidase Complex* / genetics
  • Syndrome

Substances

  • Proteasome Endopeptidase Complex

Supplementary concepts

  • Nakajo syndrome

Grants and funding

We acknowledge support for the Article Processing Charge from the DFG and the Open Access Publication Fund of the University of Greifswald. EK and SM received funding from the German Research Foundation (RTG PRO 2719) and the work was supported by COST (European Cooperation in Science and Technology) Action ProteoCure CA20113 for EK. This study was supported in part by the IRP of NIAID, NIH. This study utilized the high-performance computational capabilities of the Office of Cyber Infrastructure and Computational Biology (OCICB) High Performance Computing (HPC) cluster at the National Institute of Allergy and Infectious Diseases (NIAID), Bethesda, MD.