ReviewNature neuroscience2025
Changing genes, cells and networks to reprogram the brain after stroke.
Review in Nature neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed.
- A roadmap towards clinical use of molecular biomarkers in acute ischaemic stroke.Nature reviews. Neurology · 2026Review
- Neuromodulation for restoring and amplifying brain function.Nature neuroscience · 2026Review
- Impaired peri-infarct long-term potentiation in anaesthetized rats suggests alternative mechanisms of post-stroke recovery.The Journal of physiology · 2026Article
- Network-oriented neurorehabilitation after stroke: a paradigmatic approach.Journal of neuroengineering and rehabilitation · 2026Review
- Identification of a novel deeply quiescent neural stem cell population in the subventricular zone: a potential source for brain repair.Cell discovery · 2026Article
- Review
- Mapping the Neurovascular Unit Genetic Architecture of Early-Onset Ischemic Stroke: A Single-Cell Causal Framework for Target Discovery and Therapeutic Translation.Cellular and molecular neurobiology · 2026Article
- Pathophysiological roles of neural stem cells in neuropsychiatric diseases: from plasticity to pharmacological targeting.Acta pharmacologica Sinica · 2026Review
- CRISPR-Based Therapy for Ischemic Stroke: A Narrative Review.Cellular and molecular neurobiology · 2026Review
- Validation of socialbit as a smartwatch algorithm for social interaction detection in a clinical population.Scientific reports · 2026Article
- Leukemic Transdifferentiation: From Pathological Plasticity to Dendritic Cell-Based Immunotherapy.Biomedicines · 2025Review
- Nanoparticle-Mediated Nose-to-Brain Delivery for Ischemic Stroke Therapy: Preclinical Insights.Pharmaceutics · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Important advances have been made in reperfusion therapies for acute ischemic stroke. However, a majority of patients are either ineligible for or do not respond to treatments and continue to have considerable functional deficits. Stroke results in a pathological disruption of the neurovascular unit (NVU) that involves blood-brain barrier leakage, glial activation, neuronal damage and chronic inflammation, all of which create a microenvironment that hinders recovery. Therefore, finding ways to promote central nervous system recovery remains the holy grail of stroke research. Here we propose a conceptual framework to synthesize recent progress in the field, which is currently dispersed and disconnected in the literature. We suggest that stroke recovery requires an integrated reprogramming process throughout the brain that occurs at multiple levels, including changes in gene expression, endogenous cellular transdifferentiation within the NVU, and reorganization of larger-scale neural and social networks.
Indexed as
Identifiers
40456908What OpenQuestion holds
Registered trials
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.