Universität zu Köln

Hohn, Andreas, Iovino, Ivan, Cirillo, Fabrizio, Drinhaus, Hendrik, Kleinbrahm, Kathrin, Boehm, Lennert, De Robertis, Edoardo ORCID: 0000-0001-9182-6964 and Hinkelbein, Jochen ORCID: 0000-0003-3585-9459 (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 Res. Int., 2018. LONDON: HINDAWI LTD. ISSN 2314-6141

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Abstract

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.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Hohn, Andreas UNSPECIFIED UNSPECIFIED UNSPECIFIED Iovino, Ivan UNSPECIFIED UNSPECIFIED UNSPECIFIED Cirillo, Fabrizio UNSPECIFIED UNSPECIFIED UNSPECIFIED Drinhaus, Hendrik UNSPECIFIED UNSPECIFIED UNSPECIFIED Kleinbrahm, Kathrin UNSPECIFIED UNSPECIFIED UNSPECIFIED Boehm, Lennert UNSPECIFIED UNSPECIFIED UNSPECIFIED De Robertis, Edoardo UNSPECIFIED orcid.org/0000-0001-9182-6964 UNSPECIFIED Hinkelbein, Jochen UNSPECIFIED orcid.org/0000-0003-3585-9459 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-203281
DOI:	10.1155/2018/3576157
Journal or Publication Title:	Biomed Res. Int.
Volume:	2018
Date:	2018
Publisher:	HINDAWI LTD
Place of Publication:	LONDON
ISSN:	2314-6141
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language METABOLOME; EXPRESSION Multiple languages Biotechnology & Applied Microbiology; Medicine, Research & Experimental Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/20328