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Identification of Circulating Gene Expression Signatures of Intracranial Aneurysm in Peripheral Blood Mononuclear Cells

Authors :
Vincent M. Tutino
Haley R. Zebraski
Hamidreza Rajabzadeh-Oghaz
Muhammad Waqas
James N. Jarvis
Konrad Bach
Maxim Mokin
Kenneth V. Snyder
Adnan H. Siddiqui
Kerry E. Poppenberg
Source :
Diagnostics, Vol 11, Iss 6, p 1092 (2021)
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

Peripheral blood mononuclear cells (PBMCs) play an important role in the inflammation that accompanies intracranial aneurysm (IA) pathophysiology. We hypothesized that PBMCs have different transcriptional profiles in patients harboring IAs as compared to IA-free controls, which could be the basis for potential blood-based biomarkers for the disease. To test this, we isolated PBMC RNA from whole blood of 52 subjects (24 with IA, 28 without) and performed next-generation RNA sequencing to obtain their transcriptomes. In a randomly assigned discovery cohort of n = 39 patients, we performed differential expression analysis to define an IA-associated signature of 54 genes (q < 0.05 and an absolute fold-change ≥ 1.3). In the withheld validation dataset, these genes could delineate patients with IAs from controls, as the majority of them still had the same direction of expression difference. Bioinformatics analyses by gene ontology enrichment analysis and Ingenuity Pathway Analysis (IPA) demonstrated enrichment of structural regulation processes, intracellular signaling function, regulation of ion transport, and cell adhesion. IPA analysis showed that these processes were likely coordinated through NF-kB, cytokine signaling, growth factors, and TNF activity. Correlation analysis with aneurysm size and risk assessment metrics showed that 4/54 genes were associated with rupture risk. These findings highlight the potential to develop predictive biomarkers from PBMCs to identify patients harboring IAs.

Details

Language :
English
ISSN :
20754418
Volume :
11
Issue :
6
Database :
Directory of Open Access Journals
Journal :
Diagnostics
Publication Type :
Academic Journal
Accession number :
edsdoj.13ed279d03d7447ba7d2bc047ac032fe
Document Type :
article
Full Text :
https://doi.org/10.3390/diagnostics11061092