ALSTaR Cells - Novel Stem-cell-based Therapy for Amyotrophic Lateral Sclerosis: A Research Protocol
Bibliographic record
Abstract
Introduction: Amyotrophic Lateral Sclerosis (ALS) is a progressive neurodegenerative disease that results in the loss of motor neurons leading to limb paralysis and eventual death. Stem cell transplantation can be used to replenish the atrophied motor neurons and slow the progression of the disease, while the use of biomaterials, genetic engineering, and nanoparticles can reduce the hostility of the microenvironment. Thus, we propose a novel combinatorial therapeutic approach termed Amyotrophic Lateral Sclerosis Therapeutic and Regenerative (ALSTaR) cell treatment. Methods: This strategy will employ miRNA-124 and chitosan polyplex biomaterial to enhance engraftment of neural progenitor cells (NPCs), which will be engineered to overexpress an autophagy-regulatory gene, TFEB, and secrete an autophagy-inducing drug, trehalose. We will bioengineer an organoid model of the ventral column of the spinal cord which will be used for extensive in vitro characterization of ALSTaR cells through single-slice electrophysiology and immunocytochemistry. Using the SOD1G93A mutant mouse model, weekly behavioural assessments of motor recovery will be conducted until the humane endpoint; thereafter extensive immunohistochemical and protein quantification analyses will be performed to determine treatment efficacy in vivo. Results: ALSTaR cell treatment should result in motor functional recovery and lifespan elongation through several cellular and molecular mechanisms, including decreased neuroinflammation, upregulation of autophagy, degradation of protein aggregates, enhancement of transplanted cell integration, and regeneration of axons. Discussion: In vitro characterization of ALSTaR cells in bioengineered spinal cord organoids will reveal stable electrophysiological recordings of motor neurons, higher levels of neuronal differentiation markers, and lower levels of inflammation markers in the ALSTaR group compared to the control group or the groups treated with the biomaterial or the NPCs alone, suggesting neuronal recovery. Behavioural assessments in the ALS mouse model will reveal increased motor coordination, neuromuscular strength, and motor activity in the ALSTaR group compared to other groups, suggesting motor functional recovery. In vivo characterization of ALSTaR cells in the SOD1G93A mice will suggest enhanced stem cell integration and recovery of cellular and molecular processes. Conclusion: With currently no effective treatment for ALS, this novel combinatorial treatment strategy could improve the health-related quality of life of patients suffering from this debilitating disease.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.007 |
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".