Differential gene expression in human abdominal aortic aneurysm and aortic occlusive disease

Erik Biros, Gabor Gäbel, Corey S. Moran, Charlotte Schreurs, Jan H.N. Lindeman, Philip J. Walker, Maria Nataatmadja, Malcolm West, Lesca M. Holdt, Irene Hinterseher, Christian Pilarsky, Jonathan Golledge

Research output: Contribution to journalArticleAcademicpeer-review

82 Citations (Scopus)


Abdominal aortic aneurysm (AAA) and aortic occlusive disease (AOD) represent common causes of morbidity and mortality in elderly populations which were previously believed to have common aetiologies. The aim of this study was to assess the gene expression in human AAA and AOD. We performed microarrays using aortic specimen obtained from 20 patients with small AAAs (≤ 55mm), 29 patients with large AAAs (> 55mm), 9 AOD patients, and 10 control aortic specimens obtained from organ donors. Some differentially expressed genes were validated by quantitative- PCR (qRT-PCR)/immunohistochemistry. We identified 840 and 1,014 differentially expressed genes in small and large AAAs, respectively. Immune-related pathways including cytokine-cytokine receptor interaction and T-cell-receptor signalling were upregulated in both small and large AAAs. Examples of validated genes included CTLA4 (2.01-fold upregulated in small AAA, P = 0.002), NKTR (2.37-and 2.66-fold upregulated in small and large AAA with P = 0.041 and P = 0.015, respectively), and CD8A (2.57-fold upregulated in large AAA, P = 0.004). 1,765 differentially expressed genes were identified in AOD. Pathways upregulated in AOD included metabolic and oxidative phosphorylation categories. The UCP2 gene was downregulated in AOD (3.73-fold downregulated, validated P = 0.017). In conclusion, the AAA and AOD transcriptomes were very different suggesting that AAA and AOD have distinct pathogenic mechanisms.

Original languageEnglish
Pages (from-to)12984-12996
Number of pages13
Issue number15
Publication statusPublished - 1 Jan 2015


  • Abdominal
  • Aortic aneurysm
  • Arterial occlusive diseases
  • Tissue array analysis

Cite this