ArticleJournal of neuroscience research2022
Quantification of functional recovery in a larval zebrafish model of spinal cord injury.
Article in Journal of neuroscience research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Differential Gene Expression Across Species Following Spinal Cord Injury: A Systematic Review and Meta-Analysis.Molecular neurobiology · 2025Pooled it
- Article
- Neuronal SPI1 suppression enhances axonal regeneration after spinal cord injury through Rassf10 downregulation.Burns & trauma · 2026Article
- Effects of age on the response to spinal cord injury: optimizing the larval zebrafish model.Developmental biology · 2025Article
- Animal Models of Spinal Cord Injury.Biomedicines · 2025Review
- Modeling traumatic brain and neural injuries: insights from zebrafish.Frontiers in molecular neuroscience · 2025Review
- Importance of ultradian oscillations in neurogenesis during development and its implications for spinal cord regeneration.Frontiers in cell and developmental biology · 2025Review
- A robust paradigm for studying regeneration after traumatic spinal cord injury in zebrafish.Journal of neuroscience methods · 2024Article
- A human Tau expressing zebrafish model of progressive supranuclear palsy identifies Brd4 as a regulator of microglial synaptic elimination.Nature communications · 2024Article
- Functional trajectories during innate spinal cord repair.Frontiers in molecular neuroscience · 2023Article
- A Critical Review of Zebrafish Neurological Disease Models-2. Application: Functional and Neuroanatomical Phenotyping Strategies and Chemical Screens.Oxford open neuroscience · 2023Article
- A Critical Review of Zebrafish Neurological Disease Models-1. The Premise: Neuroanatomical, Cellular and Genetic Homology and Experimental Tractability.Oxford open neuroscience · 2023Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 2 countries.
Funding
Abstract
Human spinal cord injury (SCI) is characterized by permanent loss of damaged axons, resulting in chronic disability. In contrast, zebrafish can regenerate axonal projections following central nervous system injury and re-establish synaptic contacts with distant targets; elucidation of the underlying molecular events is an important goal with translational potential for improving outcomes in SCI patients. We generated transgenic zebrafish with GFP-labeled axons and transected their spinal cords at 10 days post-fertilization. Intravital confocal microscopy revealed robust axonal regeneration following the procedure, with abundant axons bridging the transection site by 48 h post-injury. In order to analyze neurological function in this model, we developed and validated new open-source software to measure zebrafish lateral trunk curvature during propulsive and turning movements at high temporal resolution. Immediately following spinal cord transection, axial movements were dramatically decreased caudal to the lesion site, but preserved rostral to the injury, suggesting the induction of motor paralysis below the transection level. Over the subsequent 96 h, the magnitude of movements caudal to the lesion recovered to baseline, but the rate of change of truncal curvature did not fully recover, suggesting incomplete restoration of caudal strength over this time course. Quantification of both morphological and functional recovery following SCI will be important for the analysis of axonal regeneration and downstream events necessary for restoration of motor function. An extensive array of genetic and pharmacological interventions can be deployed in the larval zebrafish model to investigate the underlying molecular mechanisms.
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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.