Microarray-based Gene Expression Profiling of Abdominal Aortic Aneurysm

被引:19
|
作者
Butt, H. Z. [1 ]
Sylvius, N. [1 ]
Salem, M. K. [1 ]
Wild, J. B. [1 ]
Dattani, N. [1 ]
Sayers, R. D. [1 ]
Bown, M. J. [2 ]
机构
[1] Univ Leicester, Dept Cardiovasc Sci, Vasc Surg Grp, Leicester, Leics, England
[2] NIHR Leicester Cardiovasc Biomed Res Unit, Leicester, Leics, England
关键词
Abdominal aortic aneurysm; Biological markers; Gene expression; Microarray; RNA; Transcriptome; PERIPHERAL-BLOOD; SYSTEM; PROTEASOME; DISEASE; MODEL;
D O I
10.1016/j.ejvs.2016.03.016
中图分类号
R61 [外科手术学];
学科分类号
摘要
Objective/Background: Microarray-based gene expression profiling studies may detect transcriptional signatures carrying prognostic value in abdominal aortic aneurysms (AAA). A gene expression profiling study was conducted to compare individuals with AAA with screened controls. Methods: The peripheral blood transcriptome was compared between 12 individuals with AAA and 12 age- and sex-matched controls using microarray. Validation by Taqman real-time quantitative (qPCR) was performed in an independent group as described. Peripheral blood RNA was hybridized to Illumina microarrays, each representing 37,846 genes, allowing comparison of gene expression between cases and controls. Eleven differentially expressed genes were re-quantified by qPCR in the independent group with AAA (n = 95), controls (n = 92); pre- and postendovascular AAA repair (EVAR, n = 31); or open AAA repair (n = 13), AAA wall biopsies (n = 11), and in matched smooth muscle cultures (n = 7). Results: Microarray detected 47 significantly differentially expressed genes in AAA after correction for multiple testing (p < .05). These genes conferred roles in regulation of apoptosis, proteolysis, the electron transport chain, leukocyte migration, and the humoral immune response. Gene quantification in the independent group demonstrated three genes to be downregulated in AAA compared with controls: MSN, PSMB10, and STIM1; however, their expression remained unchanged post-AAA repair. PSMB10 was the only gene conferring a consistent direction of effect in both the discovery and validation analyses (downregulated). EIF3G, SIVA, PUF60, CYC1, FIBP, and CARDS were downregulated post-EVAR. Expression of all 11 genes of interest was detected in aortic biopsies and matched smooth muscle cultures. Conclusion: This study demonstrates differential expression of transcripts in peripheral blood of individuals with AAA, with functional roles in proteolysis, inflammation, and apoptotic processes. These were modulated by aneurysm exclusion from the circulation and expressed in matched aortic biopsies and smooth muscle cultures. These observations further support the key roles for these pathways in the pathogenesis of AAA. (C) 2016 European Society for Vascular Surgery. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:47 / 55
页数:9
相关论文
共 50 条
  • [31] Microarray-based characterization of differential gene expression during vocal fold wound healing in rats
    Welham, Nathan V.
    Ling, Changying
    Dawson, John A.
    Kendziorski, Christina
    Thibeault, Susan L.
    Yamashita, Masaru
    DISEASE MODELS & MECHANISMS, 2015, 8 (03) : 311 - 321
  • [32] Identification of key genes associated with the human abdominal aortic aneurysm based on the gene expression profile
    Chen, Xudong
    Zheng, Chengfei
    He, Yunjun
    Tian, Lu
    Li, Jianhui
    Li, Donglin
    Jin, Wei
    Li, Ming
    Zheng, Shusen
    MOLECULAR MEDICINE REPORTS, 2015, 12 (06) : 7891 - 7898
  • [33] Application of Metabolic Profiling to Abdominal Aortic Aneurysm Research
    Qureshi, Mahim I.
    Greco, Michele
    Vorkas, Panagiotis A.
    Holmest, Elaine
    Davies, Alun H.
    JOURNAL OF PROTEOME RESEARCH, 2017, 16 (07) : 2325 - 2332
  • [34] Microarray-based gene expression analysis of human osteoblasts in response to different biomaterials
    Bombonato-Prado, Karina F.
    Bellesini, Larissa S.
    Junta, Cristina M.
    Marques, Marcia M.
    Passos, Geraldo A.
    Rosa, Adalberto L.
    JOURNAL OF BIOMEDICAL MATERIALS RESEARCH PART A, 2009, 88A (02) : 401 - 408
  • [35] Microarray-based gene expression analysis of an animal model for closed head injury
    Colak, T.
    Cine, N.
    Bamac, B.
    Kurtas, O.
    Ozbek, A.
    Bicer, U.
    Sunnetci, D.
    Savli, H.
    INJURY-INTERNATIONAL JOURNAL OF THE CARE OF THE INJURED, 2012, 43 (08): : 1264 - 1270
  • [36] Signal Oscillation Is Another Reason for Variability in Microarray-Based Gene Expression Quantification
    Singh, Raghvendra
    PLOS ONE, 2013, 8 (01):
  • [37] Transcriptional profiling and network analysis of the murine angiotensin II-induced abdominal aortic aneurysm
    Spin, Joshua M.
    Hsu, Mark
    Azuma, Junya
    Tedesco, Maureen M.
    Deng, Alicia
    Dyer, Justin S.
    Maegdefessel, Lars
    Dalman, Ronald L.
    Tsao, Philip S.
    PHYSIOLOGICAL GENOMICS, 2011, 43 (17) : 993 - 1003
  • [38] Microarray-based mutation detection in the dystrophin gene
    Hegde, Madhuri R.
    Chin, Ephrem L. H.
    Mulle, Jennifer G.
    Okou, David T.
    Warren, Stephen I.
    Zwick, Michael E.
    HUMAN MUTATION, 2008, 29 (09) : 1091 - 1099
  • [39] ABDOMINAL AORTIC ANEURYSM
    Jobah, Salem Hisham Salem
    Abu AlSaud, Zainab Ali A.
    Alkhalia, Saleh Abdulmonem
    Al Rebh, Fatemah Nasser
    Almutairi, Khaled Faisal
    Alhussain, Youssef Fahad
    Allehybi, Sultan Mohammad
    Alqarni, Zahi Mohammed
    Madkhali, Ali Hadi
    Alzabien, Haifa Saeed
    Almutairi, Khaled Faisal
    Alatabani, Alaa Khalid
    Al-Gelban, Lamyaa Omar
    INDO AMERICAN JOURNAL OF PHARMACEUTICAL SCIENCES, 2019, 6 (02): : 3531 - 3536
  • [40] Microarray analysis to identify the similarities and differences of pathogenesis between aortic occlusive disease and abdominal aortic aneurysm
    Wang, Guofu
    Bi, Lechang
    Wang, Gaofeng
    Huang, Feilai
    Lu, Mingjing
    Zhu, Kai
    VASCULAR, 2018, 26 (03) : 301 - 314