Evidence map›Paper›PMID 42351715›Full record

ReviewBiomedicines2026

MicroRNAs in Aneurysmal Subarachnoid Hemorrhage: A Stage-Specific Model Linking Rupture, Vasospasm, and Outcome.

Emre Ozkara, Ebru Erzurumluoglu Gokalp, Ozlem Aykac, Zehra Uysal Kocabas, Sinem Kocagil, Oguz Cilingir, Beyhan Durak Aras, Sevilhan Artan, Atilla Ozcan Ozdemir

Abstract readReview
In one paragraph

Review in Biomedicines, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Emre OzkaraDepartment of Neurosurgery, Faculty of Medicine, Eskisehir Osmangazi University, 26140 Eskisehir, Turkey.ORCID 0000-0001-5448-6446
Ebru Erzurumluoglu GokalpDepartment of Medical Genetics, Faculty of Medicine, Eskisehir Osmangazi University, 26140 Eskisehir, Turkey.
Ozlem AykacDepartment of Neurology, Faculty of Medicine, Eskisehir Osmangazi University, 26140 Eskisehir, Turkey.ORCID 0000-0003-4987-0050
Zehra Uysal KocabasDepartment of Neurology, Faculty of Medicine, Eskisehir Osmangazi University, 26140 Eskisehir, Turkey.
Sinem KocagilDepartment of Medical Genetics, Faculty of Medicine, Eskisehir Osmangazi University, 26140 Eskisehir, Turkey.
Oguz CilingirDepartment of Medical Genetics, Faculty of Medicine, Eskisehir Osmangazi University, 26140 Eskisehir, Turkey.
Beyhan Durak ArasDepartment of Medical Genetics, Faculty of Medicine, Eskisehir Osmangazi University, 26140 Eskisehir, Turkey.
Sevilhan ArtanDepartment of Medical Genetics, Faculty of Medicine, Eskisehir Osmangazi University, 26140 Eskisehir, Turkey.ORCID 0000-0001-7658-6309
Atilla Ozcan OzdemirDepartment of Neurology, Faculty of Medicine, Eskisehir Osmangazi University, 26140 Eskisehir, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aneurysmal subarachnoid hemorrhage (aSAH) is a life-threatening cerebrovascular condition characterized by a dynamic clinical course spanning distinct pathophysiological stages, including aneurysm rupture, early brain injury (EBI), delayed cerebral vasospasm, and long-term neurological outcome. Despite extensive research, no clinically applicable molecular biomarkers exist to predict disease trajectory across these stages. MicroRNAs (miRNAs), small non-coding RNA molecules detectable in blood and cerebrospinal fluid (CSF), have emerged as promising candidates due to their stability and close association with vascular, inflammatory, and neuronal processes. However, existing studies have largely evaluated miRNAs in isolation, without integrating findings into a unified temporal framework. This review provides a structured, translational synthesis of miRNA dynamics in aSAH and proposes a stage-specific conceptual model integrating prospective clinical evidence with the broader literature. Dual-biofluid profiling has identified miR-29a, miR-200a-3p, and miR-451a as robust rupture-associated biomarkers, with distinct compartment-specific expression patterns. CSF-based profiling has demonstrated that miR-221-3p, miR-9-3p, and miR-183-5p predict vasospasm within 24 h of hemorrhage, while miR-24 and miR-21-5p correlate with disease severity and poor outcome. Integrating these findings with the broader literature, we categorize miRNA signatures across four stages: rupture discrimination, early brain injury, vasospasm prediction, and outcome stratification. This stage-specific framework highlights the biological continuum linking endothelial injury, vascular dysfunction, and secondary brain damage. The proposed model provides a foundation for multi-marker biomarker development, prospective validation studies, and future precision medicine strategies in aSAH.

Indexed as

aneurysmal subarachnoid hemorrhagebiomarkercerebrospinal fluiddelayed cerebral ischemiamicroRNAoutcomerupturestage-specific modelvasospasm

Identifiers

PMID42351715
PMCPMC13296904

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.