Evidence map›Paper›PMID 38769267›Full record

ArticleMolecular diagnosis & therapy2024

Decoding Molecular Mechanisms Underlying Outcomes After Ischemic Stroke Thrombectomy by RNA Sequencing of Retrieved Clots.

Briana A Santo, Kerry E Poppenberg, Shiau-Sing Ciecierska, Jaims Lim, Ammad A Baig, Vinay Jaikumar, Kunal P Raygor, Tatsat R Patel, Munjal Shah, Elad I Levy and 2 more

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In one paragraph

Article in Molecular diagnosis & therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Briana A SantoCanon Stroke and Vascular Research Center, University at Buffalo, 875 Ellicott Street, Buffalo, NY, 14203, USA.
Kerry E PoppenbergCanon Stroke and Vascular Research Center, University at Buffalo, 875 Ellicott Street, Buffalo, NY, 14203, USA.
Shiau-Sing CiecierskaCanon Stroke and Vascular Research Center, University at Buffalo, 875 Ellicott Street, Buffalo, NY, 14203, USA.
Jaims LimCanon Stroke and Vascular Research Center, University at Buffalo, 875 Ellicott Street, Buffalo, NY, 14203, USA.
Ammad A BaigCanon Stroke and Vascular Research Center, University at Buffalo, 875 Ellicott Street, Buffalo, NY, 14203, USA.
Vinay JaikumarCanon Stroke and Vascular Research Center, University at Buffalo, 875 Ellicott Street, Buffalo, NY, 14203, USA.
Kunal P RaygorCanon Stroke and Vascular Research Center, University at Buffalo, 875 Ellicott Street, Buffalo, NY, 14203, USA.
Tatsat R PatelCanon Stroke and Vascular Research Center, University at Buffalo, 875 Ellicott Street, Buffalo, NY, 14203, USA.
Munjal ShahCanon Stroke and Vascular Research Center, University at Buffalo, 875 Ellicott Street, Buffalo, NY, 14203, USA.
Elad I LevyCanon Stroke and Vascular Research Center, University at Buffalo, 875 Ellicott Street, Buffalo, NY, 14203, USA.
Adnan H SiddiquiCanon Stroke and Vascular Research Center, University at Buffalo, 875 Ellicott Street, Buffalo, NY, 14203, USA.
Vincent M TutinoCanon Stroke and Vascular Research Center, University at Buffalo, 875 Ellicott Street, Buffalo, NY, 14203, USA. vincentt@buffalo.edu.ORCID 0000-0002-1331-2551

Funding

University of Buffalo Clinical and Translational Science Institute - Supplement SchulyerUL1TR001412 · NCATS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI MURPHY, TIMOTHY F · 2015 to 2024
$33.8M
NIH HHS UL1TR001412
6 · The paper itself

Abstract

backgroundTranscriptomic profiling has emerged as a powerful tool for exploring the molecular landscape of ischemic stroke clots and providing insights into the pathophysiological mechanisms underlying stroke progression and recovery. In this study, we aimed to investigate the relationship between stroke clot transcriptomes and stroke thrombectomy outcome, as measured by early neurological improvement (ENI) 30 (i.e., a 30% reduction in NIHSS at 24 h post-thrombectomy). HYPOTHESIS: We hypothesized that there exist distinct clot gene expression patterns between good and poor neurological outcomes.

methodsTranscriptomic analysis of 32 stroke clots retrieved by mechanical thrombectomy was conducted. Transcriptome data of these clots were analyzed to identify differentially expressed genes (DEGs), defined as those with a log(fold-change) ≥ 1.5 and q < 0.05 between samples with good and poor early neurological outcomes. Gene ontology and bioinformatics analyses were performed on genes with p < 0.01 to identify enriched biological processes and Ingenuity Pathway Analysis canonical pathways. Moreover, AUC analysis assessed the predictive power of DEGs for 90-day function outcome (mRS ≤ 2) and cellular composition of clot was predicted using CIBERSORT. We also assessed whether differential enrichment of immune cell types could indicate patient survival.

resultsA total of 41 DEGs were identified. Bioinformatics showed that enriched biological processes and pathways emphasized the chronic immune response and matrix metalloproteinase inhibition. Moreover, 25 of the DEGs were found to be significant predictors of 90-day mRS. These genes were indicative of monocytes enrichment and neutrophil depletion in patients with poorer outcomes.

conclusionOur study revealed a distinct gene expression pattern and dysregulated biological pathways associated with ENI. This expression pattern was also predictive of long-term outcome, suggesting a biological link between those ENIs and 90-day mRS.

Indexed as

Gene Expression ProfilingIschemic StrokeThrombectomyTranscriptomeAgedComputational BiologyFemaleGene OntologyGene Regulatory NetworksHumansMaleMiddle AgedSequence Analysis, RNAThrombosisTreatment Outcome

Identifiers

PMID38769267

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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.