Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2017 Jan 10;8(2):2477-2484.
doi: 10.18632/oncotarget.13908.

Aberrant expression of lncRNAs and mRNAs in patients with intracranial aneurysm

Wen Wang  1   2   3   4 , Hao Li  1   3   4 , Lanbing Yu  1   3   4 , Zheng Zhao  5 , Haoyuan Wang  6 , Dong Zhang  1   3   4 , Yan Zhang  1   3   4 , Qing Lan  2 , Jiangfei Wang  1   3   4 , Jizong Zhao  1   2   3   4
Affiliations

Aberrant expression of lncRNAs and mRNAs in patients with intracranial aneurysm

Wen Wang et al. Oncotarget. .

Abstract

Intracranial aneurysm (IA) is pathological dilatations of the cerebral artery and rupture of IAs can cause subarachnoid hemorrhage, which has a high ratio of fatality and morbidity. However, the pathogenesis of IAs remains unknown. We performed long noncoding RNA (lncRNA) and messenger RNA (mRNA) expression profiles in IA tissues and superficial temporal arteries (STAs). A total of 4129 differentially expressed lncRNAs and 2926 differentially expressed mRNAs were obtained from the microarrays (P < 0.05). Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses showed that up-regulated mRNAs were enriched in immune response, inflammatory response, regulation of immune response and lysosome, et al; while the down-regulated mRNAs were enriched in muscle contraction, smooth muscle contraction, cGMP-PKG signaling pathway and vascular smooth muscle contraction, et al. The lncRNA-mRNA co-expression networks were represented in immune response, inflammatory response, muscle contraction and vascular smooth muscle contraction. These findings may gain insight in the pathogenesis of IAs and provide clues to find key roles for IA patients.

Keywords: gene ontology; intracranial aneurysm; long non-coding RNA; microarray; pathway analysis.

PubMed Disclaimer

Conflict of interest statement

CONFLICT OF INTEREST

The authors declare no conflict of interest concerning the materials or methods used in this study or the findings specified in this paper.

Figures

Figure 1
Figure 1. Schematic overview of the workflow
IA, intracranial aneurysm; STA, superficial temporal artery.
Figure 2
Figure 2. Heat map of differentially expressed lncRNAs and mRNAs of IAs and STAs
IA, intracranial aneurysm; STA, superficial temporal artery.
Figure 3
Figure 3. Gene ontology of differentially expressed mRNAs
A. The top 10 GO terms up-regulated in IAs compared with STAs. B. The top 10 GO terms down-regulated in IAs compared with STAs.
Figure 4
Figure 4. KEGG pathway analysis of differentially expressed mRNAs
A. The top 10 pathways up-regulated in IAs compared with STAs. B. The top 10 pathways down-regulated in IAs compared with STAs.
Figure 5
Figure 5. LncRNA-mRNA co-expression networks in four meaningful pathways
A. 24 lncRNAs interacted with 8 mRNAs in the vascular smooth muscle contraction pathway. B. 10 lncRNAs interacted with 10 mRNAs in the GO term of immune response. C. 7 lncRNAs interacted with 7 mRNAs in the GO term of inflammatory response. D. 31 lncRNAs interacted with 9 mRNAs in the muscle contraction pathway. Yellow, lncRNA; Green, mRNA.
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

See all "Cited by" articles

References

    1. Krings T, Mandell DM, Kiehl TR, Geibprasert S, Tymianski M, Alvarez H, terBrugge KG, Hans FJ. Intracranial aneurysms: from vessel wall pathology to therapeutic approach. Nat Rev Neurol. 2011;7:547–559. - PubMed
    1. Vlak MH, Algra A, Brandenburg R, Rinkel GJ. Prevalence of unruptured intracranial aneurysms, with emphasis on sex, age, comorbidity, country, and time period: a systematic review and meta-analysis. Lancet Neurol. 2011;10:626–636. - PubMed
    1. Nieuwkamp DJ, Setz LE, Algra A, Linn FH, de Rooij NK, Rinkel GJ. Changes in case fatality of aneurysmal subarachnoid haemorrhage over time, according to age, sex, and region: a meta-analysis. Lancet Neurol. 2009;8:635–642. - PubMed
    1. Yan J, Hitomi T, Takenaka K, Kato M, Kobayashi H, Okuda H, Harada KH, Koizumi A. Genetic study of intracranial aneurysms. Stroke. 2015;46:620–626. - PubMed
    1. Yu L, Fan J, Wang S, Zhang D, Wang R, Zhao Y, Zhao J. Gene expression profiles in intracranial aneurysms. Neurosci Bull. 2014;30:99–106. - PMC - PubMed