Integrating human microbiome profiling into precision medicine for disease prevention
Rattachement africain : pk, at, gb, us. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
The human microbiome is a diverse and dynamic microbial community composed of trillions of microorganisms that inhabiting various body sites, such as the gut, skin, oral cavity, respiratory tract, and urogenital system. These microbial communities sustain the host’s physiological functions and health through interactions with immune, metabolic, and neurobiological processes. The microbiome has been extensively studied due to recent advancements in high-throughput genome sequencing and multi-omics technologies, which also demonstrated associations between microbial dysbiosis and a variety of metabolic, neurological, immune-mediated, cardiovascular, and infectious disorders. Simultaneously, precision medicine incorporates routine, environmental, and genetic variables to provide personalized solutions to disease prevention and treatment. The integration of microbiome research and precision medicine provide potential opportunities in early detection of diseases, risk stratification, and personalized therapeutic interventions. This narrative review identifies relevant literature from PubMed, Web of Science, and Scopus using terms like “human microbiome,” “precision medicine,” “microbiome profiling,” “artificial intelligence,” and “disease biomarkers,” with emphasis on current English-language publications. The review study the diversity, structure, and functional roles of the human microbiome, and the current profiling technologies and their potential clinical uses. It also examines microbiome-directed approaches, including personalized nutrition, probiotics, and fecal microbiota transplantation. Moreover, the document addresses ethical considerations, clinical challenges, artificial intelligence, and multi-omics integration. While microbiome profiling has significant potential in precision and preventive medicine, most applications are still investigational and need more validation before being implemented in clinical practice.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Integrating human microbiome profiling into precision medicine for disease prevention
- Date Crossref
- 09/09/2026
- Éditeur
- AccScience Publishing
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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University of the Punjab Department of Botany pays non établi dans la noticeUniversité ou école supérieure
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Medical University of Vienna Institute for Specific Prophylaxis & Tropical Medicine (ISPTM) pays non établi dans la noticeUniversité ou école supérieure
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University of Management and Technology pays non établi dans la noticeUniversité ou école supérieure
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Public Health England pays non établi dans la noticeOrganisme public
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National Center for Genome Resources pays non établi dans la noticeOrganisation à but non lucratif
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University of Agriculture Faisalabad Research Center pays non établi dans la noticeUniversité ou école supérieure
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University of Sialkot Department of Biological Sciences pays non établi dans la noticeUniversité ou école supérieure
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Angela Ruckson University Department of Public Health pays non établi dans la noticeUniversité ou école supérieure
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National Center of Genome Editing/D- pays non établi dans la noticeInstitution
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Faculty of Sciences Department of Biotechnology pays non établi dans la noticeUniversité ou école supérieure
Department of Botany — University of the Punjab, Institute for Specific Prophylaxis & Tropical Medicine (ISPTM) — Medical University of Vienna et University of Management and Technology, avec 7 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.