Systems Biology and Biomarkers in Necrotizing Soft Tissue Infections.

Epigenomics Genomics Mathematical modelling Metabolomics Microbiome Multivariate statistics Network inference and analysis Proteomics Top-down approaches

Journal

Advances in experimental medicine and biology
ISSN: 0065-2598
Titre abrégé: Adv Exp Med Biol
Pays: United States
ID NLM: 0121103

Informations de publication

Date de publication:
2020
Historique:
entrez: 20 10 2020
pubmed: 21 10 2020
medline: 23 1 2021
Statut: ppublish

Résumé

In necrotizing soft tissue infection (NSTI) there is a need to identify biomarker sets that can be used for diagnosis and disease management. The INFECT study was designed to obtain such insights through the integration of patient data and results from different clinically relevant experimental models by use of systems biology approaches. This chapter describes the current state of biomarkers in NSTI and how biomarkers are categorized. We introduce the fundamentals of top-down systems biology approaches including analysis tools and we review the use of current methods and systems biology approaches to biomarker discover. Further, we discuss how different "omics" signatures (gene expression, protein, and metabolites) from NSTI patient samples can be used to identify key host and pathogen factors involved in the onset and development of infection, as well as exploring associations to disease outcomes.

Identifiants

pubmed: 33079369
doi: 10.1007/978-3-030-57616-5_11
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

167-186

Auteurs

Edoardo Saccenti (E)

Laboratory of Systems and Synthetic Biology, Wageningen University and Research, Wageningen, The Netherlands. edoardo.saccenti@wur.nl.

Mattias Svensson (M)

Center for Infectious Medicine, Department of Medicine, ANA Futura, Karolinska Institutet, Karolinska University Hospital, Huddinge, Sweden.

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Classifications MeSH