Exploring the Oral Microbiome in Rheumatic Diseases, State of Art and Future Prospective in Personalized Medicine with an AI Approach

Journal of Personalized Medicine

Marco Matucci-Cerinic¹  Silvia Bellando-Randone¹  Edda Russo¹  Amedeo Amedei¹  Sabina Tangaro²  Florenzo Iannone³  Vincenzo Venerito³ 

[1] Department of Clinical and Experimental Medicine, University of Florence, Largo Brambilla 3, 50134 Florence, Italy;Dipartimento Interateneo di Fisica “M. Merlin”, Istituto Nazionale di Fisica Nucleare, Sezione di Bari, 70121 Bari, Italy;Rheumatology Unit, Department of Emergency and Organ Transplantations, University of Bari “Aldo Moro”, 70121 Bari, Italy;

关键词: oral microbiota;    microbiome;    rheumatology diseases;    biomarkers;    artificial intelligence;    machine learning;   

DOI  :  10.3390/jpm11070625

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown