Evidence map›Paper›PMID 36803375›Full record

ArticleBMC medicine2023

Monocyte, neutrophil, and whole blood transcriptome dynamics following ischemic stroke.

Paulina Carmona-Mora, Bodie Knepp, Glen C Jickling, Xinhua Zhan, Marisa Hakoupian, Heather Hull, Noor Alomar, Hajar Amini, Frank R Sharp, Boryana Stamova and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
4.2field-weighted citation impact, top 5% of its field
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

27 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
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  3. Molecular heterogeneity in human stroke - What can we learn from the peripheral blood transcriptome?Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
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  7. Monocyte-derived macrophages and their roles in ischemic stroke.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
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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

11 authors at 2 institutions in 2 countries.

Paulina Carmona-MoraDepartment of Neurology and M.I.N.D, Institute, M.I.N.D. Institute Bioscience Labs, School of Medicine, University of California at Davis, 2805 50th St, Room 2434, Sacramento, CA, 95817, USA. pcarmona@ucdavis.edu.ORCID 0000-0001-8560-1232
Bodie KneppDepartment of Neurology and M.I.N.D, Institute, M.I.N.D. Institute Bioscience Labs, School of Medicine, University of California at Davis, 2805 50th St, Room 2434, Sacramento, CA, 95817, USA.
Glen C JicklingDivision of Neurology, Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta, 87 Avenue & 114 Street, Edmonton, AB, T6G 2J7, Canada.
Xinhua ZhanDepartment of Neurology and M.I.N.D, Institute, M.I.N.D. Institute Bioscience Labs, School of Medicine, University of California at Davis, 2805 50th St, Room 2434, Sacramento, CA, 95817, USA.
Marisa HakoupianDepartment of Neurology and M.I.N.D, Institute, M.I.N.D. Institute Bioscience Labs, School of Medicine, University of California at Davis, 2805 50th St, Room 2434, Sacramento, CA, 95817, USA.
Heather HullDepartment of Neurology and M.I.N.D, Institute, M.I.N.D. Institute Bioscience Labs, School of Medicine, University of California at Davis, 2805 50th St, Room 2434, Sacramento, CA, 95817, USA.
Noor AlomarDepartment of Neurology and M.I.N.D, Institute, M.I.N.D. Institute Bioscience Labs, School of Medicine, University of California at Davis, 2805 50th St, Room 2434, Sacramento, CA, 95817, USA.
Hajar AminiDepartment of Neurology and M.I.N.D, Institute, M.I.N.D. Institute Bioscience Labs, School of Medicine, University of California at Davis, 2805 50th St, Room 2434, Sacramento, CA, 95817, USA.
Frank R SharpDepartment of Neurology and M.I.N.D, Institute, M.I.N.D. Institute Bioscience Labs, School of Medicine, University of California at Davis, 2805 50th St, Room 2434, Sacramento, CA, 95817, USA.
Boryana StamovaDepartment of Neurology and M.I.N.D, Institute, M.I.N.D. Institute Bioscience Labs, School of Medicine, University of California at Davis, 2805 50th St, Room 2434, Sacramento, CA, 95817, USA.
Bradley P AnderDepartment of Neurology and M.I.N.D, Institute, M.I.N.D. Institute Bioscience Labs, School of Medicine, University of California at Davis, 2805 50th St, Room 2434, Sacramento, CA, 95817, USA.
University of Alberta · CAUniversity of California, Davis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAfter ischemic stroke (IS), peripheral leukocytes infiltrate the damaged region and modulate the response to injury. Peripheral blood cells display distinctive gene expression signatures post-IS and these transcriptional programs reflect changes in immune responses to IS. Dissecting the temporal dynamics of gene expression after IS improves our understanding of immune and clotting responses at the molecular and cellular level that are involved in acute brain injury and may assist with time-targeted, cell-specific therapy.

methodsThe transcriptomic profiles from peripheral monocytes, neutrophils, and whole blood from 38 ischemic stroke patients and 18 controls were analyzed with RNA-seq as a function of time and etiology after stroke. Differential expression analyses were performed at 0-24 h, 24-48 h, and >48 h following stroke.

resultsUnique patterns of temporal gene expression and pathways were distinguished for monocytes, neutrophils, and whole blood with enrichment of interleukin signaling pathways for different time points and stroke etiologies. Compared to control subjects, gene expression was generally upregulated in neutrophils and generally downregulated in monocytes over all times for cardioembolic, large vessel, and small vessel strokes. Self-organizing maps identified gene clusters with similar trajectories of gene expression over time for different stroke causes and sample types. Weighted Gene Co-expression Network Analyses identified modules of co-expressed genes that significantly varied with time after stroke and included hub genes of immunoglobulin genes in whole blood.

conclusionsAltogether, the identified genes and pathways are critical for understanding how the immune and clotting systems change over time after stroke. This study identifies potential time- and cell-specific biomarkers and treatment targets.

Indexed as

Ischemic StrokeStrokeGene Expression ProfilingGene Regulatory NetworksHumansMonocytesNeutrophilsTranscriptomeBloodGene expressionHub genesIschemic strokeMonocytesNeutrophilsPathway analysesRNA-seqTime courseTranscriptomicsWGCNA

Identifiers

PMID36803375
PMCPMC9942321
OpenAlexW4321369817

What OpenQuestion holds

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LicenceCC BY
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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.