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Novel autoantibody targets identified in patients with autoimmune hepatitis (AIH) by PhIP-Seq reveals pathogenic insights.
Klepper, Arielle; Kung, Andrew; Vazquez, Sara E; Mitchell, Anthea; Mann, Sabrina; Zorn, Kelsey; Avila-Vargas, Isaac; Kari, Swathi; Tekeste, Melawit; Castro, Javier; Lee, Briton; Duarte, Maria; Khalili, Mandana; Yang, Monica; Wolters, Paul; Price, Jennifer; Perito, Emily; Feng, Sandy; Maher, Jacquelyn J; Lai, Jennifer; Weiler-Normann, Christina; Lohse, Ansgar W; DeRisi, Joseph; Tana, Michele.
Afiliación
  • Klepper A; University of California, San Francisco, USA.
  • Kung A; University of California, San Francisco, USA.
  • Vazquez SE; Chan Zuckerberg Biohub; San Francisco, CA, USA.
  • Mitchell A; University of California, San Francisco, USA.
  • Mann S; Chan Zuckerberg Biohub; San Francisco, CA, USA.
  • Zorn K; University of California, San Francisco, USA.
  • Avila-Vargas I; Chan Zuckerberg Biohub; San Francisco, CA, USA.
  • Kari S; University of California, San Francisco, USA.
  • Tekeste M; Chan Zuckerberg Biohub; San Francisco, CA, USA.
  • Castro J; University of California, San Francisco, USA.
  • Lee B; University of California, San Francisco, USA.
  • Duarte M; University of California, San Francisco, USA.
  • Khalili M; University of California, San Francisco, USA.
  • Yang M; University of California, San Francisco, USA.
  • Wolters P; University of California, San Francisco, USA.
  • Price J; University of California, San Francisco, USA.
  • Perito E; University of California, San Francisco, USA.
  • Feng S; UCSF Liver Center.
  • Maher JJ; University of California, San Francisco, USA.
  • Lai J; University of California, San Francisco, USA.
  • Weiler-Normann C; University of California, San Francisco, USA.
  • Lohse AW; UCSF Liver Center.
  • DeRisi J; University of California, San Francisco, USA.
  • Tana M; UCSF Liver Center.
medRxiv ; 2023 Jun 27.
Article en En | MEDLINE | ID: mdl-37398174
ABSTRACT
Autoimmune hepatitis (AIH) is a severe autoimmune disease, characterized by the presence of autoantibodies. However, the role of autoantibodies in the pathophysiology of AIH remains uncertain. Here, we employed Phage Immunoprecipitation-Sequencing (PhIP-Seq) to identify novel autoantibodies in AIH. Using these results, a logistic regression classifier was able to predict which patients had AIH, indicating the presence of a distinct humoral immune signature. To further investigate the autoantibodies most specific to AIH, significant peptides were identified relative to a broad array of controls (298 patients with non-alcoholic fatty liver disease (NAFLD), primary biliary cholangitis (PBC), or healthy controls). Top ranked autoreactive targets included SLA, the target of a well-recognized autoantibody in AIH, and disco interacting protein 2 homolog A (DIP2A). The autoreactive fragment of DIP2A shares a 9-amino acid stretch nearly identical to the U27 protein of HHV-6B, a virus found in the liver. In addition, antibodies against peptides derived from the leucine rich repeat N-terminal (LRRNT) domain of the relaxin family peptide receptor 1 (RXFP1) were highly enriched and specific to AIH. The enriched peptides map to a motif adjacent to the receptor binding domain, which is required for RXFP1 signaling. RXFP1 is a G protein-coupled receptor that binds relaxin-2, an anti-fibrogenic molecule shown to reduce the myofibroblastic phenotype of hepatic stellate cells. Eight of nine patients with antibodies to RXFP1 had evidence of advanced fibrosis (F3 or greater). Furthermore, serum from AIH patients positive for anti-RFXP1 antibody was able to significantly inhibit relaxin-2 signaling in the human monocytic cell line, THP1. Depletion of IgG from anti-RXFP1 positive serum abrogated this effect. These data provide supporting evidence that HHV6 plays a role in the development of AIH and point to a potential pathogenic role for anti-RXFP1 IgG in some patients. Identification of anti-RXFP1 in patient serum may enable risk stratification of AIH patients for fibrosis progression and lead to the development of novel strategies for disease intervention.

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: MedRxiv Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: MedRxiv Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos