Transcriptomics of intracranial aneurysms: current state and opportunities in flow diversion.

RNA seqencing aneurysm cerebrovascular flow diversion gene expression transcriptome vascular disorders

Journal

Journal of neurosurgery
ISSN: 1933-0693
Titre abrégé: J Neurosurg
Pays: United States
ID NLM: 0253357

Informations de publication

Date de publication:
17 Nov 2023
Historique:
received: 13 03 2023
accepted: 05 09 2023
medline: 17 11 2023
pubmed: 17 11 2023
entrez: 17 11 2023
Statut: aheadofprint

Résumé

Over the last 2 decades, the field of transcriptomics has emerged as a major subdiscipline in biology. Transcriptomic techniques have been used by many groups over this time to better understand intracranial aneurysm development, rupture, and treatment. However, only a few studies have applied transcriptomics to understand the mechanisms behind flow diversion (FD) specifically, despite its increasing importance in the neurointerventional armamentarium. FD is an increasingly safe and effective treatment option for intracranial aneurysms. However, the clinical understanding and use of FD has far outpaced the understanding of the underlying mechanisms. To make FD more predictable, clinically efficacious, and safe, it is important to understand the biological mechanisms at play that lead to successful and unsuccessful FD. In this review, the authors focus on the current understanding of FD biology, the recent advances in transcriptomics, and what future studies could be performed to deepen the understanding of FD. They propose the new concept of the FD microenvironment to be studied, which may unlock a deeper biological understanding. This review provides the background for prospective studies into the development of targeted aneurysm therapy, whether by modified devices or by medical adjuncts.

Identifiants

pubmed: 37976505
doi: 10.3171/2023.9.JNS23565
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-9

Auteurs

Visish M Srinivasan (VM)

1Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; and.

Oleg Shekhtman (O)

1Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; and.

Sandeep Kandregula (S)

1Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; and.

Sneha Sai Mannam (SS)

1Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; and.

Ling Fai Charles Yu (LFC)

2Department of Neurosurgery, University of Texas Medical Branch at Galveston, Texas.

Peter Kan (P)

2Department of Neurosurgery, University of Texas Medical Branch at Galveston, Texas.

Classifications MeSH