Exploring the Oral Microbiome in Rheumatic Diseases, State of Art and Future Prospective in Personalized Medicine with an AI Approach.
Sjogren’s syndrome
artificial intelligence
biomarkers
machine learning
microbiome
oral microbiota
rheumatoid arthritis
rheumatology diseases
systemic lupus erythematosus
Journal
Journal of personalized medicine
ISSN: 2075-4426
Titre abrégé: J Pers Med
Pays: Switzerland
ID NLM: 101602269
Informations de publication
Date de publication:
30 Jun 2021
30 Jun 2021
Historique:
received:
12
05
2021
revised:
11
06
2021
accepted:
28
06
2021
entrez:
2
7
2021
pubmed:
3
7
2021
medline:
3
7
2021
Statut:
epublish
Résumé
The oral microbiome is receiving growing interest from the scientific community, as the mouth is the gateway for numerous potential etiopathogenetic factors in different diseases. In addition, the progression of niches from the mouth to the gut, defined as "oral-gut microbiome axis", affects several pathologies, as rheumatic diseases. Notably, rheumatic disorders (RDs) are conditions causing chronic, often intermittent pain affecting the joints or connective tissue. In this review, we examine evidence which supports a role for the oral microbiome in the etiology and progression of various RDs, including rheumatoid arthritis (RA), Sjogren's syndrome (SS), and systemic lupus erythematosus (SLE). In addition, we address the most recent studies endorsing the oral microbiome as promising diagnostic biomarkers for RDs. Lastly, we introduce the concepts of artificial intelligence (AI), in particular, machine learning (ML) and their general application for understanding the link between oral microbiota and rheumatic diseases, speculating the application of a possible AI approach-based that can be applied to personalized medicine in the future.
Identifiants
pubmed: 34209167
pii: jpm11070625
doi: 10.3390/jpm11070625
pmc: PMC8306274
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Subventions
Organisme : Ente Cassa di Risparmio di Firenze
ID : 2019
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