Evidence map›Paper›PMID 40878981›Full record

ArticleJournal of the American Heart Association2025

Characterizing Stroke Clots Using Single-Cell Sequencing.

Daniela Renedo, Tanyeri Barak, Jonathan DeLong, Julian N Acosta, Nanthiya Sujijantarat, Andrew Koo, Cyprien A Rivier, Santiago Clocchiatti-Tuozzo, Shufan Huo, Joseph Antonios and 8 more

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

18 authors.

Daniela RenedoDepartment of Neurosurgery Yale School of Medicine New Haven CT USA.ORCID 0000-0003-4120-6649
Tanyeri BarakDepartment of Neurosurgery Yale School of Medicine New Haven CT USA.
Jonathan DeLongDepartment of Neurology Yale School of Medicine New Haven CT USA.ORCID 0000-0002-2032-8228
Julian N AcostaDepartment of Neurology Yale School of Medicine New Haven CT USA.ORCID 0000-0001-6497-5454
Nanthiya SujijantaratDepartment of Neurosurgery Yale School of Medicine New Haven CT USA.ORCID 0000-0002-5857-5718
Andrew KooDepartment of Neurosurgery Yale School of Medicine New Haven CT USA.ORCID 0000-0002-2854-649X
Cyprien A RivierDepartment of Neurology Yale School of Medicine New Haven CT USA.ORCID 0000-0002-1148-1829
Santiago Clocchiatti-TuozzoDepartment of Neurology Yale School of Medicine New Haven CT USA.ORCID 0000-0001-5377-434X
Shufan HuoDepartment of Neurology Yale School of Medicine New Haven CT USA.ORCID 0000-0002-0119-7517
Joseph AntoniosDepartment of Neurosurgery Yale School of Medicine New Haven CT USA.ORCID 0000-0002-5147-1377
James GilesDepartment of Neurology Yale School of Medicine New Haven CT USA.ORCID 0000-0002-3197-3062
Guido J FalconeDepartment of Neurology Yale School of Medicine New Haven CT USA.ORCID 0000-0002-6407-0302
Kevin N ShethDepartment of Neurosurgery Yale School of Medicine New Haven CT USA.ORCID 0000-0003-2003-5473
Ryan HebertDepartment of Neurosurgery Yale School of Medicine New Haven CT USA.
Murat GunelDepartment of Neurosurgery Yale School of Medicine New Haven CT USA.
Lauren H SansingDepartment of Neurology Yale School of Medicine New Haven CT USA.ORCID 0000-0002-6898-1680
Dhasakumar S NavaratnamDepartment of Neurology Yale School of Medicine New Haven CT USA.ORCID 0000-0002-5431-8191
Charles MatoukDepartment of Neurosurgery Yale School of Medicine New Haven CT USA.ORCID 0000-0003-3234-9541

Funding

Transcriptomics of Stroke Thrombus to Determine Stroke Etiology and Response to Revascularization TherapiesK23NS136843 · NINDS · YALE UNIVERSITY · PI James Anthony Giles · 2025 to 2026
$462k
NINDS NIH HHS K23 NS136843
6 · The paper itself

Abstract

backgroundIschemic stroke results in significant morbidity and mortality. By examining gene expression of cells comprising stroke clots, we aim to gain valuable insights into the underlying mechanisms of this disease and identify potential biomarkers of stroke cause.

methodsWe employed single-cell RNA sequencing to analyze 10 clot samples from patients diagnosed with large vessel occlusion stroke. We aimed to identify and compare the immune cell compositions and gene expression profiles between stroke clots (atrial fibrillation vs carotid atherosclerosis). We also used Multi-marker Analysis of Genomic Annotation and genome-wide association studies summary statistics from the GIGASTROKE consortium to assess associations between genetic variants and cell type-specific gene expression within the stroke subtypes.

resultsOur analysis revealed distinct immune cell populations, including monocytes, macrophages, dendritic cells, neutrophils, and T cells in both clot types. Notably, we observed significant differences in gene expression within the mononuclear phagocytic system cells between clots from patients with atrial fibrillation and carotid atherosclerosis. We identified specific genes associated with atherosclerosis and stroke-related processes, such as

conclusionsThis study illuminates the immune and transcriptomic landscape within clots, offering potential biomarkers and lays the foundation for future research.

Indexed as

Atrial FibrillationCarotid Artery DiseasesIschemic StrokeSingle-Cell AnalysisAgedFemaleGenome-Wide Association StudyHumansMaleMiddle AgedSequence Analysis, RNATranscriptomeimmune cell profilingsingle‐cell RNA sequencingstroke cause

Identifiers

PMID40878981
PMCPMC12553457

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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.