![](/images/graphics-bg.png)
Bioinformatical Analysis of Organ-Related (Heart, Brain, Liver, and Kidney) and Serum Proteomic Data to Identify Protein Regulation Patterns and Potential Sepsis Biomarkers
Joint Authors
Hinkelbein, Jochen
Hohn, Andreas
Iovino, Ivan
Cirillo, Fabrizio
Drinhaus, Hendrik
Kleinbrahm, Kathrin
Boehm, Lennert
De Robertis, Edoardo
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-21
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
During the last years, proteomic studies have revealed several interesting findings in experimental sepsis models and septic patients.
However, most studies investigated protein alterations only in single organs or in whole blood.
To identify possible sepsis biomarkers and to evaluate the relationship between protein alteration in sepsis affected organs and blood, proteomics data from the heart, brain, liver, kidney, and serum were analysed.
Using functional network analyses in combination with hierarchical cluster analysis, we found that protein regulation patterns in organ tissues as well as in serum are highly dynamic.
In the tissue proteome, the main functions and pathways affected were the oxidoreductive activity, cell energy generation, or metabolism, whereas in the serum proteome, functions were associated with lipoproteins metabolism and, to a minor extent, with coagulation, inflammatory response, and organ regeneration.
Proteins from network analyses of organ tissue did not correlate with statistically significantly regulated serum proteins or with predicted proteins of serum functions.
In this study, the combination of proteomic network analyses with cluster analyses is introduced as an approach to deal with high-throughput proteomics data to evaluate the dynamics of protein regulation during sepsis.
American Psychological Association (APA)
Hohn, Andreas& Iovino, Ivan& Cirillo, Fabrizio& Drinhaus, Hendrik& Kleinbrahm, Kathrin& Boehm, Lennert…[et al.]. 2018. Bioinformatical Analysis of Organ-Related (Heart, Brain, Liver, and Kidney) and Serum Proteomic Data to Identify Protein Regulation Patterns and Potential Sepsis Biomarkers. BioMed Research International،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1125929
Modern Language Association (MLA)
Hohn, Andreas…[et al.]. Bioinformatical Analysis of Organ-Related (Heart, Brain, Liver, and Kidney) and Serum Proteomic Data to Identify Protein Regulation Patterns and Potential Sepsis Biomarkers. BioMed Research International No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1125929
American Medical Association (AMA)
Hohn, Andreas& Iovino, Ivan& Cirillo, Fabrizio& Drinhaus, Hendrik& Kleinbrahm, Kathrin& Boehm, Lennert…[et al.]. Bioinformatical Analysis of Organ-Related (Heart, Brain, Liver, and Kidney) and Serum Proteomic Data to Identify Protein Regulation Patterns and Potential Sepsis Biomarkers. BioMed Research International. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1125929
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1125929