4.6 Article

Circulating neutrophil transcriptome may reveal intracranial aneurysm signature

Journal

PLOS ONE
Volume 13, Issue 1, Pages -

Publisher

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0191407

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Funding

  1. Brain Aneurysm Foundation Carol Harvey Chair of Research Grant
  2. Team Cindy-Alcatraz Chair of Research Grant
  3. NIH [R01-AR-060604]

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Background Unruptured intracranial aneurysms (lAs) are typically asymptomatic and undetected except for incidental discovery on imaging. Blood-based diagnostic biomarkers could lead to improvements in IA management. This exploratory study examined circulating neutrophils to determine whether they carry RNA expression signatures of lAs. Methods Blood samples were collected from patients receiving cerebral angiography. Eleven samples were collected from patients with lAs and 11 from patients without lAs as controls. Samples from the two groups were paired based on demographics and comorbidities. RNA was extracted from isolated neutrophils and subjected to next-generation RNA sequencing to obtain differential expressions for identification of an IA-associated signature. Bioinformatics analyses, including gene set enrichment analysis and Ingenuity Pathway Analysis, were used to investigate the biological function of all differentially expressed transcripts. Results Transcriptome profiling identified 258 differentially expressed transcripts in patients with and without lAs. Expression differences were consistent with peripheral neutrophil activation. An IA-associated RNA expression signature was identified in 82 transcripts (p<0.05, fold-change >= 2). This signature was able to separate patients with and without lAs on hierarchical clustering. Furthermore, in an independent, unpaired, replication cohort of patients with lAs (n = 5) and controls (n = 5), the 82 transcripts separated 9 of 10 patients into their respective groups. Conclusion Preliminary findings show that RNA expression from circulating neutrophils carries an IA associated signature. These findings highlight a potential to use predictive biomarkers from peripheral blood samples to identify patients with lAs.

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