Evidence map›Paper›PMID 31400065›Full record

ArticleAnnals of clinical and translational neurology2019

Blood transcriptomic biomarker as a surrogate of ischemic brain gene expression.

LeeAnn Ramsay, Marie-Lise Quillé, Cyrille Orset, Pierre de la Grange, Estelle Rousselet, Claude Férec, Gérald Le Gac, Emmanuelle Génin, Serge Timsit

Open access · goldAbstract read
In one paragraph

Article in Annals of clinical and translational neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 19% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
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  4. 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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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 at 2 institutions in 1 country.

LeeAnn RamsayUMR 1078 Genetics, Functional Genomics and Biotechnology, Inserm, Université de Brest, EFS, CHU de Brest, Brest, France.
Marie-Lise QuilléUMR 1078 Genetics, Functional Genomics and Biotechnology, Inserm, Université de Brest, EFS, CHU de Brest, Brest, France.
Cyrille OrsetDepartment of Physiopathology and Imaging of Neurological Disorders, INSERM U1237, University Caen Normandie, GIP Cyceron, Caen, France.
Pierre de la GrangeGenoSplice Technology, iPEPS ICM, Hôpital Pitié Salpêtrière, Paris, France.
Estelle RousseletUMR 1078 Genetics, Functional Genomics and Biotechnology, Inserm, Université de Brest, EFS, CHU de Brest, Brest, France.
Claude FérecUMR 1078 Genetics, Functional Genomics and Biotechnology, Inserm, Université de Brest, EFS, CHU de Brest, Brest, France.
Gérald Le GacInserm U1078, Université Bretagne Loire Université de Bretagne Occidentale, IBSAM, Laboratoire de Genetique Moleculaire et Histocompatibilité, CHRU de Brest, Hopital Morvan, Brest, France.
Emmanuelle GéninUMR 1078 Genetics, Functional Genomics and Biotechnology, Inserm, Université de Brest, EFS, CHU de Brest, Brest, France.
Serge TimsitUMR 1078 Genetics, Functional Genomics and Biotechnology, Inserm, Université de Brest, EFS, CHU de Brest, Brest, France.ORCID 0000-0003-0346-8576
Inserm · FRSorbonne Université · FR

Funding

Agence Nationale de la Recherche ANR-10-BIOT-005.Association Gaëtan Saleun
6 · The paper itself

Abstract

objectivesBlood biomarkers for cerebral tissue ischemia are lacking. The goal was to identify a blood transcriptomic signature jointly identified in the ischemic brain.

methodsA nonhuman primate model with middle cerebral artery (MCA) territory infarction was used to study gene expression by microarray during acute ischemic cerebral stroke in the brain and the blood. Brain samples were collected in the infarcted and contralateral non-infarcted cortex as well as blood samples before and after occlusion. Gene expression was compared between the two brain locations to find differentially expressed genes. The expressions of these genes were then compared in the blood pre- and post-occlusion.

resultsHierarchical clustering of brain expression data revealed strong independent clustering of ischemic and nonischemic brain samples. The top five enriched, up-regulated gene sets in the brain were TNF α signaling, apoptosis, P53 pathway, hypoxia, and UV response up. A comparison of differentially expressed genes in the brain and blood revealed a significant overlap of gene expression patterns. Stringent analysis of blood expression data from pre- and post-occlusion samples in each monkey identified nine genes highly differentially expressed in both the brain and the blood. Many of these up-regulated genes belong to pathways involved in cell death and DNA damage repair.

interpretationCommon gene expression profile can be identified in the brain and blood and clearly differentiates ischemic from nonischemic conditions. Therefore, specific blood transcriptomic signature may represent a surrogate for brain ischemic gene expression.

Indexed as

AnimalsBiomarkersBrainBrain IschemiaDisease Models, AnimalGene Expression ProfilingInfarction, Middle Cerebral ArteryMacaca mulattaMagnetic Resonance ImagingMaleTranscriptomeBiomarkers

Identifiers

PMID31400065
PMCPMC6764628
OpenAlexW2967125260

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.