Suppressing CSPG/LAR/PTPσ Axis Facilitates Neuronal Replacement and Synaptogenesis by Human Neural Precursor Grafts and Improves Recovery after Spinal Cord Injury
Bibliographic record
Abstract
Traumatic spinal cord injury (SCI) is a leading cause of permanent neurologic disabilities in young adults. Functional impairments after SCI are substantially attributed to the progressive neurodegeneration. However, regeneration of spinal-specific neurons and circuit re-assembly remain challenging in the dysregulated milieu of SCI because of impaired neurogenesis and neuronal maturation by neural precursor cells (NPCs) spontaneously or in cell-based strategies. The extrinsic mechanisms that regulate neuronal differentiation and synaptogenesis in SCI are poorly understood. Here, we perform extensive in vitro and in vivo studies to unravel that SCI-induced upregulation of matrix chondroitin sulfate proteoglycans (CSPGs) impedes neurogenesis of NPCs through co-activation of two receptor protein tyrosine phosphatases, LAR and PTPσ. In adult female rats with SCI, systemic co-inhibition of LAR and PTPσ promotes regeneration of motoneurons and spinal interneurons by engrafted human directly reprogramed caudalized NPCs (drNPC-O2) and fosters their morphologic maturity and synaptic connectivity within the host neural network that culminate in improved recovery of locomotion and sensorimotor integration. Our transcriptomic analysis of engrafted human NPCs in the injured spinal cord confirmed that inhibition of CSPG receptors activates a comprehensive program of gene expression in NPCs that can support neuronal differentiation, maturation, morphologic complexity, signal transmission, synaptic plasticity, and behavioral improvement after SCI. We uncovered that CSPG/LAR/PTPσ axis suppresses neuronal differentiation in part by blocking Wnt/β-Catenin pathway. Taken together, we provide the first evidence that CSPGs/LAR/PTPσ axis restricts neurogenesis and synaptic integration of new neurons in NPC cellular therapies for SCI. We propose targeting LAR and PTPσ receptors offers a promising clinically-feasible adjunct treatment to optimize the efficacy and neurologic benefits of ongoing NPC-based clinical trials for SCI. SIGNIFICANCE STATEMENT Transplantation of neural precursor cells (NPCs) is a promising approach for replacing damaged neurons after spinal cord injury (SCI). However, survival, neuronal differentiation, and synaptic connectivity of transplanted NPCs within remain challenging in SCI. Here, we unravel that activation of chondroitin sulfate proteoglycan (CSPG)/LAR/PTPσ axis after SCI impedes the capacity of transplanted human NPCs for replacing functionally integrated neurons. Co-blockade of LAR and PTPσ is sufficient to promote re-generation of motoneurons and spinal V1 and V3 interneurons by engrafted human caudalized directly reprogramed NPCs (drNPC-O2) and facilitate their synaptic integration within the injured spinal cord. CSPG/LAR/PTPσ axis appears to suppress neuronal differentiation of NPCs by inhibiting Wnt/β-Catenin pathway. These findings identify targeting CSPG/LAR/PTPσ axis as a promising strategy for optimizing neuronal replacement, synaptic re-connectivity, and neurologic recovery in NPC-based strategies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".