Oral Fungal Infections: Past, Present, and Future

Richard D Cannon1

  • 1Department of Oral Sciences, Sir John Walsh Research Institute, University of Otago, Dunedin, New Zealand.

Frontiers in Oral Health
|February 21, 2022
PubMed

Insights

Oral fungal infections are influenced by the oral microbiome and host immunity. Advanced AI analysis of the oral microbiome, immune cells, and signaling molecules can improve diagnosis and prediction of oral fungal diseases.

Area of Science:

  • Oral mycology
  • Immunology
  • Microbiome research
  • Computational biology

Background:

  • Oral fungal infections, particularly candidiasis, are opportunistic infections linked to host immune status.
  • Understanding oral fungal infections requires considering host defenses and interactions within the oral microbiome.
  • Advances in microbiome analysis and immune cell quantification provide new tools for studying oral health.

Purpose of the Study:

  • To explore the complex interplay between oral fungi, host immunity, and the oral microbiome.
  • To highlight the potential of integrating multi-omics data with machine learning for diagnosing and predicting oral fungal diseases.
  • To emphasize the need for a holistic approach to understanding oral fungal infections.

Main Methods:

  • Review of historical and recent literature on oral fungal infections and host-microbiome interactions.
  • Discussion of advancements in oral microbiome analysis (fungi, bacteria, viruses) and immune profiling.
  • Proposal for the application of machine learning and artificial intelligence (AI) for integrated data analysis.

Main Results:

  • Oral fungal infections are multifactorial, involving the pathogen, host immunity, and microbial community dynamics.
  • Inter-kingdom signaling within the oral microbiome influences fungal pathogenicity.
  • Simultaneous analysis of microbiome composition, immune responses, and signaling molecules is crucial.

Conclusions:

  • Machine learning and AI can integrate complex oral microbiome and host immune data for improved diagnosis and prediction of oral fungal diseases.
  • A comprehensive understanding of the oral ecosystem is essential for managing oral fungal infections.
  • Future research should focus on applying AI to clinical data for personalized risk assessment and treatment strategies.

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