Metabolic stress and early cell death in photoreceptor precursor cells following retinal transplantation
Bibliographic record
Abstract
BACKGROUND: Progressive photoreceptor loss in retinal degenerative diseases leads to irreversible vision impairment. Transplantation of human embryonic or induced pluripotent stem cell-derived photoreceptor precursor cells (PRPCs) offers potential for vision restoration. However, substantial early donor cell loss remains a major challenge. This study aims to elucidate the mechanisms underlying early PRPC loss and to evaluate host retinal responses to transplantation. METHODS: PRPCs derived from human embryonic stem cells (hESC)-based retinal organoids were subretinally transplanted into both normal and degenerated canine retinas to investigate the impact of host retinal degeneration on transplant survival and integration. Single-cell RNA sequencing (scRNAseq) was performed on transplanted PRPCs 3 days post-transplantation into normal canine retinas, as well as on host retinal cells to identify molecular pathways associated with early donor cell loss. Non-invasive multimodal retinal imaging and immunohistochemical analyses were conducted to assess PRPC survival, integration, and host immune responses. RESULTS: Despite systemic immunosuppression, extensive early loss of human PRPCs occurred within the first week following xenotransplantation into both normal and degenerated canine retinas, suggesting that factors beyond immune activation contribute to donor cell loss. Transcriptomic analysis identified metabolic stress as a key driver of early donor cell death, characterized by dysregulation of mitochondrial function and oxidative phosphorylation pathways. Microglial infiltration into the donor cell mass was also observed in normal retinas, suggesting a response to donor cell stress and apoptosis. Beyond the initial phase of cell death, surviving donor cells integrated and persisted when transplanted into retinas with a partially preserved outer nuclear layer, whereas cell loss continued when intervention occurred at end-stage degeneration. CONCLUSIONS: Metabolic stress represents a critical barrier to PRPC survival following transplantation. Strategies aimed at enhancing metabolic resilience may improve transplantation outcomes. Furthermore, host retinal responses shape the transplant microenvironment, influencing donor cell survival and integration. These findings highlight the need for targeted interventions to mitigate early metabolic stress and optimize PRPC transplantation strategies for retinal degenerative diseases.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".