Literature DB >> 19359916

Alterations in rat serum proteome and metabolome as putative disease markers in sepsis.

Jochen Hinkelbein1, Robert E Feldmann, Charlotte Schubert, Anna Peterka, Dominik Schelshorn, Martin H Maurer, Armin Kalenka.   

Abstract

OBJECTIVES: Despite a decreased mortality from sepsis, the absolute number of sepsis-related deaths has actually increased during the last years. At present, there are no biological markers available that can reliably assist early clinical diagnosis and the prompt initiation of therapy. This study investigated the changes in serum protein expression in a coecal ligature and puncture model of rat sepsis at 12, 24, and 48 hours after the induction of sepsis using differential proteomics.
METHODS: Sixty-two male Wistar rats were randomly assigned to a sepsis group (coecal ligature and puncture; n = 46) or a sham group (n = 16). Surviving rats were killed 12 hour (n = 6), 24 hour (n = 9), or 48 hour (n = 4) after operation, and their serum lysates were subjected to two-dimensional gel electrophoresis and peptide mass fingerprinting. A systematic functional network mapping and molecular pathway analysis were performed using Ingenuity Pathways Analysis.
RESULTS: Septic mortality was 58.7%, but no rat of the sham group was lost. Per gel, an average of 1,082 +/- 10 spots could be discriminated, of which 40 different protein spots were differentially expressed (p < 0.01). From the total of 40, the number of regulated protein spots was 13 (12 hour group) versus 10 (24 hour group) versus 18 (48 hour group). Ingenuity pathways analysis identified 10 of the differential proteins and allocated them to a pathway of tissue inflammation.
CONCLUSIONS: The present study quantitatively detected several proteins differentially expressed in acute sepsis. Since a longer time-period was investigated and compared with previous studies, the results may offer new insights into septic organ dysfunction and altered protein pathways. The horizontal analysis of protein expression arrays and systematic biochemical pathways may represent an important new tool for the clinical assessment of septic conditions and support the development of early sepsis markers.

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Year:  2009        PMID: 19359916     DOI: 10.1097/TA.0b013e3181958ad7

Source DB:  PubMed          Journal:  J Trauma        ISSN: 0022-5282


  6 in total

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Authors:  Weiguo Sui; Liling Huang; Yong Dai; Jiejing Chen; Qiang Yan; He Huang
Journal:  Clin Exp Med       Date:  2010-04-08       Impact factor: 3.984

Review 2.  The emerging field of quantitative blood metabolomics for biomarker discovery in critical illnesses.

Authors:  Natalie J Serkova; Theodore J Standiford; Kathleen A Stringer
Journal:  Am J Respir Crit Care Med       Date:  2011-06-16       Impact factor: 21.405

3.  A metabolomic approach for diagnosis of experimental sepsis.

Authors:  José L Izquierdo-García; Nicolás Nin; Jesús Ruíz-Cabello; Yeny Rojas; Marta de Paula; Sonia López-Cuenca; Luis Morales; Leticia Martínez-Caro; Pilar Fernández-Segoviano; Andrés Esteban; José A Lorente
Journal:  Intensive Care Med       Date:  2011-10-06       Impact factor: 17.440

4.  Hyperoxia-Induced Protein Alterations in Renal Rat Tissue: A Quantitative Proteomic Approach to Identify Hyperoxia-Induced Effects in Cellular Signaling Pathways.

Authors:  Jochen Hinkelbein; Lennert Böhm; Oliver Spelten; David Sander; Stefan Soltész; Stefan Braunecker
Journal:  Dis Markers       Date:  2015-05-27       Impact factor: 3.434

5.  Decreased Tissue COX5B Expression and Mitochondrial Dysfunction during Sepsis-Induced Kidney Injury in Rats.

Authors:  Jochen Hinkelbein; Lennert Böhm; Stefan Braunecker; Christoph Adler; Edoardo De Robertis; Fabrizio Cirillo
Journal:  Oxid Med Cell Longev       Date:  2017-01-26       Impact factor: 6.543

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

Authors:  Andreas Hohn; Ivan Iovino; Fabrizio Cirillo; Hendrik Drinhaus; Kathrin Kleinbrahm; Lennert Boehm; Edoardo De Robertis; Jochen Hinkelbein
Journal:  Biomed Res Int       Date:  2018-03-21       Impact factor: 3.411

  6 in total

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