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Article

Use of immunoproteomics to identify immunogenic proteins in a rat model of acute respiratory distress syndrome

  • Authors:
    • Zongshu Ji
    • Haiyan Liu
    • Linsen Fang
    • Youxin Yu
    • Zheng Zhou
  • View Affiliations / Copyright

    Affiliations: Department of Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230022, P.R. China, Department of Burns, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230022, P.R. China, Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230022, P.R. China
  • Pages: 7625-7632
    |
    Published online on: September 20, 2017
       https://doi.org/10.3892/mmr.2017.7557
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Abstract

Acute respiratory distress syndrome (ARDS) is a common and life‑threatening clinical syndrome, and seeking biomarkers of ARDS has been an area of continuing research. The present study hypothesized that alterations to certain immunogenic substances occur in injured lungs and are able to specifically bind with corresponding proteins in the blood, and that these proteins may be readily detected. To investigate this hypothesis, a rat model of ARDS was established by cecal ligation and puncture surgery, and an immunoproteomics approach, using serum as the primary antibody in a western blot analysis, was used with the aim of identifying immunogenic proteins in the injured lungs. Ingenuity Pathway Analysis (IPA) was used for bioinformatics analysis, and mass spectrometric analysis was used to identify a total of 38 differentially expressed immunogenic proteins. Bioinformatics analysis revealed that the top canonical pathways in which the identified proteins may be involved were gluconeogenesis I, glycolysis I, choline degradation I, NADH repair and heme degradation. IPA Biomarker Filter analysis with the terms ‘acute respiratory distress syndrome/acute lung injury’ was used to screen 13 proteins as candidate biomarkers. These proteins were described as antigens, and suggested that paired antibodies may be detected in the plasma of patients at high risk of ARDS. Analysis of these identified proteins may provide novel insights into the potential pathological mechanisms of ARDS.
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Copy and paste a formatted citation
Spandidos Publications style
Ji Z, Liu H, Fang L, Yu Y and Zhou Z: Use of immunoproteomics to identify immunogenic proteins in a rat model of acute respiratory distress syndrome. Mol Med Rep 16: 7625-7632, 2017.
APA
Ji, Z., Liu, H., Fang, L., Yu, Y., & Zhou, Z. (2017). Use of immunoproteomics to identify immunogenic proteins in a rat model of acute respiratory distress syndrome. Molecular Medicine Reports, 16, 7625-7632. https://doi.org/10.3892/mmr.2017.7557
MLA
Ji, Z., Liu, H., Fang, L., Yu, Y., Zhou, Z."Use of immunoproteomics to identify immunogenic proteins in a rat model of acute respiratory distress syndrome". Molecular Medicine Reports 16.5 (2017): 7625-7632.
Chicago
Ji, Z., Liu, H., Fang, L., Yu, Y., Zhou, Z."Use of immunoproteomics to identify immunogenic proteins in a rat model of acute respiratory distress syndrome". Molecular Medicine Reports 16, no. 5 (2017): 7625-7632. https://doi.org/10.3892/mmr.2017.7557
Copy and paste a formatted citation
x
Spandidos Publications style
Ji Z, Liu H, Fang L, Yu Y and Zhou Z: Use of immunoproteomics to identify immunogenic proteins in a rat model of acute respiratory distress syndrome. Mol Med Rep 16: 7625-7632, 2017.
APA
Ji, Z., Liu, H., Fang, L., Yu, Y., & Zhou, Z. (2017). Use of immunoproteomics to identify immunogenic proteins in a rat model of acute respiratory distress syndrome. Molecular Medicine Reports, 16, 7625-7632. https://doi.org/10.3892/mmr.2017.7557
MLA
Ji, Z., Liu, H., Fang, L., Yu, Y., Zhou, Z."Use of immunoproteomics to identify immunogenic proteins in a rat model of acute respiratory distress syndrome". Molecular Medicine Reports 16.5 (2017): 7625-7632.
Chicago
Ji, Z., Liu, H., Fang, L., Yu, Y., Zhou, Z."Use of immunoproteomics to identify immunogenic proteins in a rat model of acute respiratory distress syndrome". Molecular Medicine Reports 16, no. 5 (2017): 7625-7632. https://doi.org/10.3892/mmr.2017.7557
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