The greater inflammatory pathway-high clinical potential by innovative predictive, preventive, and personalized medical approach.

Autonomic nervous system Big data analysis Epigenetics Genetics Individualized patient profile Inflammation Machine learning Mechanotransduction Multi-omics Network science Neuro-immuno modulation Non-communicable diseases Patient stratification Phenotyping Predictive Risk Wound healing and personalized medicine modifiable preventable factors preventive

Journal

The EPMA journal
ISSN: 1878-5077
Titre abrégé: EPMA J
Pays: Switzerland
ID NLM: 101517307

Informations de publication

Date de publication:
Mar 2020
Historique:
received: 31 10 2019
accepted: 13 11 2019
entrez: 7 3 2020
pubmed: 7 3 2020
medline: 7 3 2020
Statut: epublish

Résumé

Impaired wound healing (WH) and chronic inflammation are hallmarks of non-communicable diseases (NCDs). However, despite WH being a recognized player in NCDs, mainstream therapies focus on (un)targeted damping of the inflammatory response, leaving WH largely unaddressed, owing to three main factors. The first is the complexity of the pathway that links inflammation and wound healing; the second is the dual nature, local and systemic, of WH; and the third is the limited acknowledgement of genetic and contingent causes that disrupt physiologic progression of WH. Here, in the frame of Predictive, Preventive, and Personalized Medicine (PPPM), we integrate and revisit current literature to offer a novel systemic view on the cues that can impact on the fate (acute or chronic inflammation) of WH, beyond the compartmentalization of medical disciplines and with the support of advanced computational biology. This shall open to a broader understanding of the causes for WH going awry, offering new operational criteria for patients' stratification (prediction and personalization). While this may also offer improved options for targeted prevention, we will envisage new therapeutic strategies to reboot and/or boost WH, to enable its progression across its physiological phases, the first of which is a transient acute inflammatory response versus the chronic low-grade inflammation characteristic of NCDs.

Sections du résumé

BACKGROUND AND LIMITATIONS UNASSIGNED
Impaired wound healing (WH) and chronic inflammation are hallmarks of non-communicable diseases (NCDs). However, despite WH being a recognized player in NCDs, mainstream therapies focus on (un)targeted damping of the inflammatory response, leaving WH largely unaddressed, owing to three main factors. The first is the complexity of the pathway that links inflammation and wound healing; the second is the dual nature, local and systemic, of WH; and the third is the limited acknowledgement of genetic and contingent causes that disrupt physiologic progression of WH.
PROPOSED APPROACH UNASSIGNED
Here, in the frame of Predictive, Preventive, and Personalized Medicine (PPPM), we integrate and revisit current literature to offer a novel systemic view on the cues that can impact on the fate (acute or chronic inflammation) of WH, beyond the compartmentalization of medical disciplines and with the support of advanced computational biology.
CONCLUSIONS CONCLUSIONS
This shall open to a broader understanding of the causes for WH going awry, offering new operational criteria for patients' stratification (prediction and personalization). While this may also offer improved options for targeted prevention, we will envisage new therapeutic strategies to reboot and/or boost WH, to enable its progression across its physiological phases, the first of which is a transient acute inflammatory response versus the chronic low-grade inflammation characteristic of NCDs.

Identifiants

pubmed: 32140182
doi: 10.1007/s13167-019-00195-w
pii: 195
pmc: PMC7028895
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

1-16

Informations de copyright

© European Association for Predictive, Preventive and Personalised Medicine (EPMA) 2019.

Déclaration de conflit d'intérêts

Conflict of interestThe authors declare that they have no conflict of interest.

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Auteurs

Maria Giovanna Maturo (MG)

1Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy.

Marzia Soligo (M)

2Institute of Translational Pharmacology, Consiglio Nazionale delle Ricerche (CNR), Rome, Italy.

Greg Gibson (G)

3Center for Integrative Genomics, School of Biological Sciences, Georgia Tech, Atlanta, GA USA.

Luigi Manni (L)

2Institute of Translational Pharmacology, Consiglio Nazionale delle Ricerche (CNR), Rome, Italy.

Christine Nardini (C)

4IAC Institute for Applied Computing, Consiglio Nazionale delle Ricerche (CNR), Rome, Italy.
Bio Unit, Scientific and Medical Direction, SOL Group, Monza, Italy.

Classifications MeSH