• Medientyp: E-Artikel
  • Titel: AutoCore: A network-based definition of the core module of human autoimmunity and autoinflammation
  • Beteiligte: Guthrie, Julia; Köstel Bal, Sevgi; Lombardo, Salvo Danilo; Müller, Felix; Sin, Celine; Hütter, Christiane V. R.; Menche, Jörg; Boztug, Kaan
  • Erschienen: American Association for the Advancement of Science (AAAS), 2023
  • Erschienen in: Science Advances
  • Sprache: Englisch
  • DOI: 10.1126/sciadv.adg6375
  • ISSN: 2375-2548
  • Schlagwörter: Multidisciplinary
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: <jats:p>Although research on rare autoimmune and autoinflammatory diseases has enabled definition of nonredundant regulators of homeostasis in human immunity, because of the single gene-single disease nature of many of these diseases, contributing factors were mostly unveiled in sequential and noncoordinated individual studies. We used a network-based approach for integrating a set of 186 inborn errors of immunity with predominant autoimmunity/autoinflammation into a comprehensive map of human immune dysregulation, which we termed “AutoCore.” The AutoCore is located centrally within the interactome of all protein-protein interactions, connecting and pinpointing multidisease markers for a range of common, polygenic autoimmune/autoinflammatory diseases. The AutoCore can be subdivided into 19 endotypes that correspond to molecularly and phenotypically cohesive disease subgroups, providing a molecular mechanism–based disease classification and rationale toward systematic targeting for therapeutic purposes. Our study provides a proof of concept for using network-based methods to systematically investigate the molecular relationships between individual rare diseases and address a range of conceptual, diagnostic, and therapeutic challenges.</jats:p>
  • Zugangsstatus: Freier Zugang