Improving the Diagnostic Potential of Extracellular miRNAs Coupled to Multiomics Data by Exploiting the Power of Artificial Intelligence.
Artificial Intelligence (AI)
Machine Learning (ML)
circulating miRNAs
fecal miRNAs biomarkers
oral diagnostics
urinary miRNAs detection
Journal
Frontiers in microbiology
ISSN: 1664-302X
Titre abrégé: Front Microbiol
Pays: Switzerland
ID NLM: 101548977
Informations de publication
Date de publication:
2022
2022
Historique:
received:
02
03
2022
accepted:
11
05
2022
entrez:
27
6
2022
pubmed:
28
6
2022
medline:
28
6
2022
Statut:
epublish
Résumé
In recent years, the clinical use of extracellular miRNAs as potential biomarkers of disease has increasingly emerged as a new and powerful tool. Serum, urine, saliva and stool contain miRNAs that can exert regulatory effects not only in surrounding epithelial cells but can also modulate bacterial gene expression, thus acting as a "master regulator" of many biological processes. We think that in order to have a holistic picture of the health status of an individual, we have to consider comprehensively many "omics" data, such as miRNAs profiling form different parts of the body and their interactions with cells and bacteria. Moreover, Artificial Intelligence (AI) and Machine Learning (ML) algorithms coupled to other multiomics data (i.e., big data) could help researchers to classify better the patient's molecular characteristics and drive clinicians to identify personalized therapeutic strategies. Here, we highlight how the integration of "multiomic" data (i.e., miRNAs profiling and microbiota signature) with other omics (i.e., metabolomics, exposomics) analyzed by AI algorithms could improve the diagnostic and prognostic potential of specific biomarkers of disease.
Identifiants
pubmed: 35756065
doi: 10.3389/fmicb.2022.888414
pmc: PMC9218639
doi:
Types de publication
Journal Article
Langues
eng
Pagination
888414Informations de copyright
Copyright © 2022 Paolini, Baldassarre, Bruno, Felli, Muzi, Ahmadi Badi, Siadat, Sarshar and Masotti.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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