Evidence map›Paper›PMID 40867605›Full record

ArticleBiomolecules2025

CSF-Exosomal miRNAs and Delayed Cerebral Ischemia: Insights into Pathophysiology but No Definitive Biomarkers.

Chathathayil M Shafeeque, Devin W McBride, Yuanqing Yan, Hussein A Zeineddine, John P Hagen, H Alex Choi, Jude P Savarraj, Ari Dienel, Spiros L Blackburn, Peeyush Kumar Thankamani

Abstract read
In one paragraph

Article in Biomolecules, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

10 authors.

Chathathayil M ShafeequeDepartment of Neurosurgery, University of Texas Health Science Center, 6431 Fannin St. MSB 7.147, Houston, TX 77030, USA.ORCID 0000-0003-2795-8086
Devin W McBrideDepartment of Neurosurgery, University of Texas Health Science Center, 6431 Fannin St. MSB 7.147, Houston, TX 77030, USA.
Yuanqing YanFeinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.ORCID 0000-0002-0094-7726
Hussein A ZeineddineDepartment of Neurosurgery, University of Texas Health Science Center, 6431 Fannin St. MSB 7.147, Houston, TX 77030, USA.
John P HagenDepartment of Neurosurgery, University of Texas Health Science Center, 6431 Fannin St. MSB 7.147, Houston, TX 77030, USA.
H Alex ChoiDepartment of Neurosurgery, University of Texas Health Science Center, 6431 Fannin St. MSB 7.147, Houston, TX 77030, USA.
Jude P SavarrajDepartment of Neurosurgery, University of Texas Health Science Center, 6431 Fannin St. MSB 7.147, Houston, TX 77030, USA.
Ari DienelDepartment of Neurosurgery, University of Texas Health Science Center, 6431 Fannin St. MSB 7.147, Houston, TX 77030, USA.
Spiros L BlackburnDepartment of Neurosurgery, University of Texas Health Science Center, 6431 Fannin St. MSB 7.147, Houston, TX 77030, USA.
Peeyush Kumar ThankamaniDepartment of Neurosurgery, University of Texas Health Science Center, 6431 Fannin St. MSB 7.147, Houston, TX 77030, USA.ORCID 0000-0002-5681-6602

Funding

Endothelial Cell Epigenetics and Blood-Brain Barrier.R01NS121339 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI THANKAMANI PANDIT, PEEYUSH KUMAR · 2021 to 2025
$2.3M
Neuroregeneration after stroke using Vascular GuidanceR21NS135176 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI THANKAMANI PANDIT, PEEYUSH KUMAR · 2024 to 2025
$416k
NIH/NINDS, Brain Aneurysm foundation R01 NS121339-01, R21 RNS135176ANINDS NIH HHS R01 NS121339NINDS NIH HHS R21 NS135176
6 · The paper itself

Abstract

backgroundAneurysmal subarachnoid hemorrhage (aSAH) is notoriously known for its high mortality and morbidity. Approximately one-third of the patients who survive aneurysm rupture are reported to develop delayed cerebral ischemia (DCI), which contributes to a poor clinical outcome. Currently, there are no biomarkers for identifying which aSAH patients are at risk of developing DCI. We aimed to determine the feasibility of cerebrospinal fluid (CSF) exosomal microRNAs (miRNAs) for predicting DCI post-aSAH.

methodsaSAH patients were prospectively enrolled, and CSF samples were collected at two time points (<24 h and 72 h post-aSAH) from individuals undergoing external ventricular drainage. Exosomal miRNAs were isolated from the CSF for analysis. In the initial group of patients (discovery cohort), an exploratory analysis was conducted using a CSF panel containing 84 miRNAs, assessed by quantitative real-time PCR (RT-qPCR). Based on this analysis, 27 miRNAs were selected for further evaluation in a second group of patients (validation cohort). Among these, 10 miRNAs had previously been reported in SAH-related CSF studies, supporting their relevance for continued investigation.

resultsIn this study, RT-qPCR analysis of 84 miRNAs in CSF samples from aSAH patients (n = 10 DCI, n = 16 no DCI) and non-aSAH controls (n = 5) identified 9 upregulated and 13 downregulated miRNAs in the DCI group, and 7 upregulated and 18 downregulated miRNAs in the no-DCI group, compared to the controls. When comparing DCI to no-DCI patients, 13 miRNAs were found to be upregulated in the DCI group. Additionally, seven miRNAs showed temporal upregulation in DCI patients between early (<24 h/T1) and later (72 h/T3) time points across both discovery and validation cohorts. However, no miRNAs were uniquely expressed in either DCI or no-DCI groups, limiting their potential as specific biomarkers for DCI.

conclusionsDespite analyses in both the discovery and validation phases, no miRNAs emerged as consistent and reliable biomarkers for distinguishing DCI from no-DCI patients. However, the identified miRNAs are involved in the key KEGG pathways that regulate vascular integrity, neuronal survival, and inflammatory processes central to DCI pathophysiology. These findings highlight the complexity of miRNA regulation following aSAH, as reflected by the variability in differentially expressed miRNAs between cohorts. This variability may be influenced by factors such as limited sample size, patient heterogeneity, individual biological differences, and experimental variability. Comprehensive profiling using larger, well-characterized cohorts, along with rigorous validation, is essential to determine the predictive value and mechanistic significance of candidate miRNAs in DCI.

Indexed as

Brain IschemiaExosomesMicroRNAsSubarachnoid HemorrhageAdultAgedBiomarkersFemaleHumansMaleMiddle AgedProspective StudiesBiomarkersMicroRNAsCSFDCI and biomarkerexosomemiRNAsubarachnoid hemorrhage

Identifiers

PMID40867605
PMCPMC12384643

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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.