• J Rheumatol · Jul 2011

    Candidate genes in patients with autoinflammatory syndrome resembling tumor necrosis factor receptor-associated periodic syndrome without mutations in the TNFRSF1A gene.

    • Silvia Borghini, Michele Fiore, Marco Di Duca, Francesco Caroli, Martina Finetti, Giuseppe Santamaria, Francesca Ferlito, Federico Bua, Paolo Picco, Laura Obici, Alberto Martini, Marco Gattorno, and Isabella Ceccherini.
    • Laboratorio di Genetica Molecolare, Istituto G. Gaslini, Genova, Italy.
    • J Rheumatol. 2011 Jul 1; 38 (7): 1378-84.

    ObjectiveTumor necrosis factor (TNF) receptor-associated periodic syndrome (TRAPS) is an autosomal-dominant multisystemic autoinflammatory condition. Patients display different mutations of the TNF receptor superfamily 1A gene (TNFRSF1A), coding for a nearly ubiquitous TNF receptor (TNFR1). No TNFRSF1A mutation has been identified in a proportion of patients with TRAPS-like phenotype.MethodsWe investigated mechanisms downregulating the TNF-induced inflammatory response such as (1) receptor shedding, producing a secreted form acting as a TNF inhibitor; (2) receptor internalization with subsequent induction of apoptosis; and (3) negative regulation of nuclear factor-κB (NF-κB) transcription. We analyzed the sequence of genes known to play a pivotal role in these pathways, in 5 patients with TRAPS symptoms and showing shedding and/or apoptosis defects, but without mutations of the TNFRSF1A gene.ResultsSequence analysis of 3 genes involved in TNFR1 shedding (ERAP1, NUCB2, RBMX) and 3 genes involved in negative regulation of NF-κB signaling (TNFAIP3, CARP-2) or NF-κB transcription (ZFP36) revealed only a few unreported variants, apparently neutral.ConclusionOur study rules out any involvement in the pathogenesis of TRAPS of some of the genes known to regulate TNFR1 shedding and TNF-induced NF-κB signaling and transcription. Gene(s) responsible for TRAPS-like syndrome remain to be investigated among currently unidentified genes likely involved in these pathways, or by applying the genome-wide function-free sequencing approach.

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