Evidence map›Paper›PMID 34399587›Full record

ReviewStroke2021

Using Human Genetics to Understand Mechanisms in Ischemic Stroke Outcome: From Early Brain Injury to Long-Term Recovery.

Jin-Moo Lee, Israel Fernandez-Cadenas, Arne G Lindgren

Open access · bronzeAbstract readReview
In one paragraph

Review in Stroke, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.7field-weighted citation impact, top 4% 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

19 citing papers in PubMed, 41 citations in OpenAlex.

  1. Trial
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  5. Review
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  9. Associations between admission levels of multiple biomarkers and subsequent worse outcomes in acute ischemic stroke patients.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
    Article
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  13. Review
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  18. Grand challenges in stroke genomics.Frontiers in stroke · 2022
    Article
  19. 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

3 authors at 3 institutions in 2 countries.

Jin-Moo LeeThe Hope Center for Neurological Disorders, Department of Neurology, Washington University School of Medicine, St. Louis, MO (J.-M.L).
Israel Fernandez-CadenasStroke Pharmacogenomics and Genetics Group, Sant Pau Biomedical Research Institute, Barcelona, Spain (I.F.C.).
Arne G LindgrenDepartment of Clinical Sciences Lund, Neurology, Lund University, Sweden (A.G.L.).
Biomedical Research Institute · USHope Center for Neurological Disorders · USLund University · SE

Funding

Genetic Architecture of Acute Human Brain IschemiaR01NS085419 · NINDS · WASHINGTON UNIVERSITY · PI CRUCHAGA, CARLOS, LEE, JIN-MOO · 2014 to 2018
$2.8M
Mid-America Regional Coordinating Center (MARCC)U24NS107230 · NINDS · WASHINGTON UNIVERSITY · PI Andria Lee Ford, Peter David Panagos · 2018 to 2026
$2.8M
NINDS NIH HHS R01 NS085419NINDS NIH HHS U24 NS107230
6 · The paper itself

Abstract

There is a critical need to elucidate molecular mechanisms underlying brain injury, repair, and recovery following ischemic stroke-a global health problem with major social and economic impact. Despite 5 decades of intensive research, there are no widely accepted neuroprotective drugs that mitigate ischemic brain injury, or neuroreparative drugs, or personalized approaches that guide therapies to enhance recovery. We here explore novel reverse translational approaches that will complement traditional forward translational methods in identifying mechanisms relevant to human stroke outcome. Although genome-wide association studies have yielded over 30 genetic loci that influence ischemic stroke risk, only a few genome-wide association studies have been performed for stroke outcome. We discuss important considerations for genetic studies of ischemic stroke outcome-including carefully designed phenotypes that capture injury/recovery mechanisms, anchored in time to stroke onset. We also address recent genome-wide association studies that provide insight into mechanisms underlying brain injury and repair. There are several ongoing initiatives exploring genomic associations with novel phenotypes related to stroke outcome. To improve the understanding of the genetic architecture of ischemic stroke outcome, larger studies using standardized phenotypes, preferably embedded in standard-of-care measures, are needed. Novel techniques beyond genome-wide association studies-including exploiting informatics, multi-omics, and novel analytics-promise to uncover genetic and molecular pathways from which drug targets and other new interventions may be identified.

Indexed as

Human GeneticsTimeBrain InjuriesBrain IschemiaGenome-Wide Association StudyHumansStrokebrain injuriesgenetic architecturegeneticsischemic strokeoutcomes researchphenotypesprognosis

Identifiers

PMID34399587
PMCPMC8938679
OpenAlexW3195656569

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.