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Plate IV.514 · Publications

Metabolism gene signatures and surgical site infections in abdominal surgery

Article in International Journal of Surgery, February 2015.

Lung, Epithelial Cells

  1. Bo Kong
  2. Philipp Bruns
  3. Susanne Raulefs
  4. Simon Rieder
  5. Laura Paul
  6. Olivia Prazeresda Costa
  7. Thorsten Buch
  8. Fabian J. Theis
  9. Christoph W. Michalski
  10. Jörg Kleeff

Abstract

Introduction Surgical site infections (SSI) represent a significant cause of morbidity in abdominal surgery. The objective of this study was to determine the gene expression signature in subcutaneous tissues in relation to SSI. Methods To determine differences in gene expression, microarray analysis were performed from bulk tissue mRNA of subcutaneous tissues prospectively collected in 92 patients during open abdominal surgery. 10 patients (11%) developed incisional (superficial and deep) SSI. Results Preoperative risk factors in patients with SSI were not significantly different from those in patients without wound infections. 1025 genes were differentially expressed between the groups, of which the AZGP1 and ALDH1A3 genes were the highest down- and upregulated ones. Hierarchical clustering demonstrated strong similarity within the respective groups (SSI vs. no-SSI) indicating inter-group distinctness. In a functional classification, genes controlling cell metabolism were mostly down-regulated in subcutaneous tissues of patients that subsequently developed SSI. Conclusion Altered expression of metabolism genes in subcutaneous tissues might constitute a risk factor for postoperative abdominal SSI.

Cite

@article{kong2015metabolism,
  title = {{Metabolism gene signatures and surgical site infections in abdominal surgery}},
  author = {Kong, Bo and Bruns, Philipp and Raulefs, Susanne and Rieder, Simon and Paul, Laura and Prazeresda Costa, Olivia and Buch, Thorsten and Theis, Fabian J. and Michalski, Christoph W. and Kleeff, Jörg},
  journal = {International Journal of Surgery},
  publisher = {Ovid Technologies (Wolters Kluwer Health)},
  year = {2015},
  month = feb,
  doi = {10.1016/j.ijsu.2015.01.009},
  url = {https://doi.org/10.1016/j.ijsu.2015.01.009},
  pmid = {25599917}
}
.bib file