Bioinformatical Analysis of Organ-Related (Heart, Brain, Liver, and Kidney) and Serum Proteomic Data to Identify Protein Regulation Patterns and Potential Sepsis Biomarkers.

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 relationsh...

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Publicado en:BioMed Research International Vol. 2018; pp. 1 - 12
Autores principales: Hohn, Andreas, Iovino, Ivan, Cirillo, Fabrizio, Drinhaus, Hendrik, Kleinbrahm, Kathrin, Boehm, Lennert, De Robertis, Edoardo, Hinkelbein, Jochen
Formato: research tables/charts Journal Article
Publicado: Wiley-Blackwell 3/21/2018
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 3/21/2018
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        10.1155/2018/3576157
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        atl: Bioinformatical Analysis of Organ-Related (Heart, Brain, Liver, and Kidney) and Serum Proteomic Data to Identify Protein Regulation Patterns and Potential Sepsis Biomarkers.
      aug:
        au:
          Hohn, Andreas
          Iovino, Ivan
          Cirillo, Fabrizio
          Drinhaus, Hendrik
          Kleinbrahm, Kathrin
          Boehm, Lennert
          De Robertis, Edoardo
          Hinkelbein, Jochen
        affil: Department of Anaesthesiology and Intensive Care Medicine, University Hospital of Cologne, Kerpener Str. 62, 50937 Cologne, Germany
      sug:
        subj:
          Biological Markers
          Sepsis Diagnosis
          Proteins
          Proteomics Evaluation
          Human
          Bioinformatics
          Brain
          Liver
          Kidney
          Serology
          Blood Chemical Analysis
          Oxidation-Reduction
          Data Analysis Software
          Energy Metabolism
          Inflammation Physiopathology
          Cluster Analysis
      ab: 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.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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