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Systematic Identification of Therapeutic Targets and Repurposed Drugs for Stroke: From Genome Causal Analysis to Multilevel Validation.

Overview

Authors: Xia Zhang1,2, Yi‐Ming Zhang1, Ji‐Lai Li2, Wei Wang1, Wen‐Jun Tu2, Hong‐Qi Wang2,3
  1. Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Capital Medical University, Beijing, China
  2. Department of Neurology, Aerospace Medical Center, Aerospace Center Hospital, Peking University Aerospace School of Clinical Medicine, Beijing, China
  3. Department of Anatomy, School of Basic Medical Sciences, Capital Medical University, Beijing, China
Journal: Journal of the American Heart Association, volume 15, issue 13, article e046088
Dates: received 26 August 2025; accepted 28 April 2026; published online 23 June 2026; in print July 2026
Type: Research article · Language: English
License: CC BY-NC
Identifiers: DOI 10.1161/jaha.125.046088 · PMID 42333666 · PMCID PMC13477297 · OpenAlex W7165666171
Open access: gold, a free copy (OpenAlex)
Status: dead link
Categories: genetics / omics (modality), human (organism), mouse (organism), stroke (population)
Methods: Statistics
Keywords: druggable gene, γ‐glutamyl carboxylase (GGCX), Mendelian randomization, phenome‐wide association analysis, repurposed drug, stroke, Cerebrovascular Disease/Stroke, Ischemic Stroke
MeSH: Brain*, Carbon-Carbon Ligases*, Drug Repositioning*, Infarction, Middle Cerebral Artery*, Ischemic Stroke*, Neuroprotective Agents*, Stroke*, Animals, Disease Models, Animal, Genome-Wide Association Study, Humans, Male, Mendelian Randomization Analysis, Mice, Mice, Inbred C57BL, Proteomics, Quantitative Trait Loci (* major topic)
Topic: Genetic Associations and Epidemiology (Genetics, Biochemistry, Genetics and Molecular Biology), according to OpenAlex
Citations: not cited yet (Europe PMC); 70 references in the paper

Abstract

Background: Stroke is a severe cerebrovascular disease characterized by narrow time windows and complications. This study aimed to identify novel drug targets and repurposed drugs for stroke.

Methods: This study used expression quantitative trait loci data from druggable genes in brain and blood as instrumental variables. Mendelian randomization, colocalization, and phenome‐wide Mendelian randomization were applied to evaluate causal relationships and potential side effects, with stroke and ischemic stroke as primary outcomes. Preclinical validation used oxygen–glucose deprivation/reperfusion and middle cerebral artery occlusion/reperfusion models. Pharmacological and behavioral assessments evaluated the therapeutic potential of candidate targets and drugs. Additionally, proteomic sequencing was performed following GGCX (γ‐glutamyl carboxylase) overexpression to explore its biological functions.

Results: Elevated GGCX expression in brain and blood was potentially causally associated with reduced risk of stroke and ischemic stroke, supported by colocalization evidence, although potential cardiovascular risks could not be excluded. Drug repositioning identified ifenprodil as a candidate agent that reduced infarction volume, improved motor and cognitive functions, and reversed GGCX downregulation in mice. Ifenprodil treatment and GGCX overexpression alleviated oxygen–glucose deprivation/reperfusion–induced injury and upregulated GGCX expression. Mechanistically, GGCX conferred neuroprotection by regulating protein homeostasis, suppressing inflammation, promoting metabolic recovery, and modulating nuclear transcriptional regulation.

Conclusions: This study established a potential causal link between GGCX and stroke risk, particularly ischemic stroke. GGCX represents a promising therapeutic target for ischemic stroke. Targeted GGCX expression upregulation and drug repurposing, particularly ifenprodil, may offer novel therapeutic avenues. Further validation is warranted to assess clinical efficacy and safety.

Reproduced under the paper's license (CC BY-NC), from the paper cited above.

Code

No file of the authors' code could be read here: it is described below, and read at its source.

AzumitoAsneuet112358/MR-Target-in-STROKE

License: none: the authors keep all their rights
State: the link is dead, verified on 27 September 2026
Evidence: found in the paper
Software Heritage: not archived
Found in: “Data Sources, Code Availability, and Approval”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 27 September 2026: the link is dead
  • 27 September 2026: the link is dead

The paper's code and data availability statement is in the Data section.

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Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

No dataset and no data link were found in the paper.

Data Sources, Code Availability, and Approval

The original contributions presented in the study are included in the article or the Supplemental Material. Further inquiries can be directed to the corresponding authors. The study codes can be accessed at GitHub (https://github.com/AzumitoAsneuet112358/MR‐Target‐in‐STROKE (https://github.com/AzumitoAsneuet112358/MR-Target-in-STROKE)).

Reproduced under the paper's license (CC BY-NC), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 6 authors, 8 keywords, 17 MeSH terms, 70 references.

Cite

This paper

Zhang, X., Zhang, Y., Li, J., Wang, W., Tu, W., & Wang, H. (2026). Systematic Identification of Therapeutic Targets and Repurposed Drugs for Stroke: From Genome Causal Analysis to Multilevel Validation. Journal of the American Heart Association, 15(13), e046088. https://doi.org/10.1161/jaha.125.046088

BibTeX

@article{zhang2026systematic,
author = {Zhang, Xia and Zhang, Yi‐Ming and Li, Ji‐Lai and Wang, Wei and Tu, Wen‐Jun and Wang, Hong‐Qi},
title = {{Systematic Identification of Therapeutic Targets and Repurposed Drugs for Stroke: From Genome Causal Analysis to Multilevel Validation}},
journal = {Journal of the American Heart Association},
year = {2026},
month = jun,
volume = {15},
number = {13},
pages = {e046088},
publisher = {Wiley},
issn = {2047-9980},
doi = {10.1161/jaha.125.046088},
url = {https://doi.org/10.1161/jaha.125.046088},
pmid = {42333666},
pmcid = {PMC13477297}
}

RIS

TY - JOUR
AU - Zhang, Xia
AU - Zhang, Yi‐Ming
AU - Li, Ji‐Lai
AU - Wang, Wei
AU - Tu, Wen‐Jun
AU - Wang, Hong‐Qi
TI - Systematic Identification of Therapeutic Targets and Repurposed Drugs for Stroke: From Genome Causal Analysis to Multilevel Validation
T2 - Journal of the American Heart Association
J2 - J Am Heart Assoc
PY - 2026
DA - 2026/06/23
VL - 15
IS - 13
SP - e046088
SN - 2047-9980
PB - Wiley
DO - 10.1161/jaha.125.046088
UR - https://doi.org/10.1161/jaha.125.046088
LA - en
ER -

CSL-JSON

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The tracing map gets a citation of its own once an author has validated it and it has a DOI.

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