Towards multiomic analysis of oral mucosal pathologies

Jakob Einhaus, Xiaoyuan Han, Dorien Feyaerts, John Sunwoo, Brice Gaudilliere, Somayeh H. Ahmad, Nima Aghaeepour, Karl Bruckman, David Ojcius, Christian M. Schürch, Dyani K. Gaudilliere*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

3 Scopus citations

Abstract

Oral mucosal pathologies comprise an array of diseases with worldwide prevalence and medical relevance. Affecting a confined space with crucial physiological and social functions, oral pathologies can be mutilating and drastically reduce quality of life. Despite their relevance, treatment for these diseases is often far from curative and remains vastly understudied. While multiple factors are involved in the pathogenesis of oral mucosal pathologies, the host’s immune system plays a major role in the development, maintenance, and resolution of these diseases. Consequently, a precise understanding of immunological mechanisms implicated in oral mucosal pathologies is critical (1) to identify accurate, mechanistic biomarkers of clinical outcomes; (2) to develop targeted immunotherapeutic strategies; and (3) to individualize prevention and treatment approaches. Here, we review key elements of the immune system’s role in oral mucosal pathologies that hold promise to overcome limitations in current diagnostic and therapeutic approaches. We emphasize recent and ongoing multiomic and single-cell approaches that enable an integrative view of these pathophysiological processes and thereby provide unifying and clinically relevant biological signatures.

Original languageEnglish
Pages (from-to)111-123
Number of pages13
JournalSeminars in Immunopathology
Volume45
Issue number1
DOIs
StatePublished - 01 2023
Externally publishedYes

Bibliographical note

© 2023. The Author(s).

Keywords

  • Cytomics
  • Immunology
  • Mass cytometry
  • Metabolomics
  • Microbiome
  • Multiomics
  • Oral pathology
  • Proteomics
  • Transcriptomics
  • Humans
  • Quality of Life
  • Biomarkers

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