ReviewCellular and molecular neurobiology2026
Cell Therapy for Spinal Cord Injury: Mechanistic Insights and Translational Challenges.
Review in Cellular and molecular neurobiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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
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0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Spinal cord injury (SCI) causes devastating and permanent neurological disability, with no restorative treatments currently available. Cell-based therapies have long been regarded as the most promising regenerative strategy, demonstrating robust functional improvement in preclinical models. However, clinical outcomes have been inconsistent, exposing a persistent translational gap. This review critically appraises leading cell therapy platforms, ranging from mesenchymal and neural stem cells to next-generation engineered tissues. We dissect the molecular mechanisms underlying therapeutic efficacy and analyze key translational barriers, including GMP manufacturing, potency assay development, and clinical trial design. Integrating lessons from past failures with emerging advances in imaging biomarkers and immune-microenvironment modulation, we propose a strategic roadmap framed by a “renovate-and-rebuild” paradigm. We identify timing-by-mechanism mismatches and inadequate scar remodeling as central drivers of variable efficacy, and introduce a biomarker-gated indication algorithm to align therapies with lesion biology. Collectively, these insights argue for reframing SCI repair as a staged, biology-matched process rather than a single-shot intervention.
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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 Socratic graph.