Sepsis: deriving biological meaning and clinical applications from high-dimensional data

The pathophysiology of sepsis is multi-facetted and highly complex. As sepsis is a leading cause of global mortality that still lacks targeted therapies, increased understanding of its pathogenesis is vital for improving clinical care and outcomes. An increasing number of investigations seeks to unr...

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Vydáno v:Intensive care medicine experimental Ročník 9; číslo 1; s. 27 - 15
Hlavní autoři: Schuurman, Alex R., Reijnders, Tom D. Y., Kullberg, Robert F. J., Butler, Joe M., van der Poll, Tom, Wiersinga, W. Joost
Médium: Journal Article
Jazyk:angličtina
Vydáno: Cham Springer International Publishing 07.05.2021
Springer Nature B.V
SpringerOpen
Témata:
Critical Care Medicine
Data analysis
Epigenetics
Genomics
High-dimensional data
Integration
Intensive
Intensive care
Lipids
Medical research
Medicine
Medicine & Public Health
Microbiology
Multi-omics
Pathophysiology
Proteomics
Reviews
Sepsis
Sepsis - what's in the discovery pipeline?
High-dimensional data
Sepsis
Integration
Multi-omics
ISSN:2197-425X, 2197-425X
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Popis
Shrnutí:The pathophysiology of sepsis is multi-facetted and highly complex. As sepsis is a leading cause of global mortality that still lacks targeted therapies, increased understanding of its pathogenesis is vital for improving clinical care and outcomes. An increasing number of investigations seeks to unravel the complexity of sepsis through high-dimensional data analysis, enabled by advances in -omics technologies. Here, we summarize progress in the following major -omics fields: genomics, epigenomics, transcriptomics, proteomics, lipidomics, and microbiomics. We describe what these fields can teach us about sepsis, and highlight current trends and future challenges. Finally, we focus on multi-omics integration, and discuss the challenges in deriving biological meaning and clinical applications from these types of data.
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ISSN:2197-425X
2197-425X
DOI:10.1186/s40635-021-00383-x