Components, prospects and challenges of personalized prevention.

genetic discrimination nutrigenetics nutrigenomics personalized prevention precision health precision health policies predictive biomarkers

Journal

Frontiers in public health
ISSN: 2296-2565
Titre abrégé: Front Public Health
Pays: Switzerland
ID NLM: 101616579

Informations de publication

Date de publication:
2023
Historique:
received: 20 10 2022
accepted: 09 01 2023
entrez: 6 3 2023
pubmed: 7 3 2023
medline: 8 3 2023
Statut: epublish

Résumé

Effective preventive strategies are urgently needed to address the rising burden of non-communicable diseases such as cardiovascular disease and cancer. To date, most prevention efforts to reduce disease incidence have primarily targeted populations using "one size fits all" public health recommendations and strategies. However, the risk for complex heterogeneous diseases is based on a multitude of clinical, genetic, and environmental factors, which translate into individual sets of component causes for every person. Recent advances in genetics and multi-omics enable the use of new technologies to stratify disease risks at an individual level fostering personalized prevention. In this article, we review the main components of personalized prevention, provide examples, and discuss both emerging opportunities and remaining challenges for its implementation. We encourage physicians, health policy makers, and public health professionals to consider and apply the key elements and examples of personalized prevention laid out in this article while overcoming challenges and potential barriers to their implementation.

Identifiants

pubmed: 36875367
doi: 10.3389/fpubh.2023.1075076
pmc: PMC9978387
doi:

Types de publication

Journal Article Review Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1075076

Informations de copyright

Copyright © 2023 Jaskulski, Nuszbaum and Michels.

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. The reviewer HP declared a shared affiliation with the author(s) KM to the handling editor at the time of review.

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Auteurs

Stefanie Jaskulski (S)

Institute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Competence Network Preventive Medicine Baden-Württemberg, Competence Area of Personalized Prevention, Freiburg, Germany.

Cosima Nuszbaum (C)

Institute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Competence Network Preventive Medicine Baden-Württemberg, Competence Area of Personalized Prevention, Freiburg, Germany.

Karin B Michels (KB)

Institute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Competence Network Preventive Medicine Baden-Württemberg, Competence Area of Personalized Prevention, Freiburg, Germany.
Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, United States.

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Classifications MeSH