Senescence and inflammation are unintended adverse consequences of CRISPR-Cas9/AAV6-mediated gene editing in hematopoietic stem cells
Bibliographic record
Abstract
Gene editing (GE) using homology-directed repair (HDR) in hematopoietic stem and progenitor cells (HSPCs) offers promise for long-range gene correction of inherited genetic disorders. However, cellular responses induced by CRISPR-Cas9/AAV6 engineering impair the long-term repopulating potential of HDR-edited HSPCs, adversely impacting the safety and efficacy of clinical translation. Our study uncovers a durable senescence-like response in genetically engineered HSPCs triggered by p53 and interleukin (IL)-1/nuclear factor κB (NF-κB) activation, which restricts graft size and clonal diversity in long-term transplantation assays. We show that transient p53 inhibition or blocking inflammatory pathways mitigates senescence-associated responses, improving the repopulating capacity of edited HSPCs. Importantly, we identify treatment with Anakinra, an IL-1 signaling antagonist, as a promising strategy to enhance polyclonal output in HDR-edited cells while minimizing genotoxicity risks associated with the editing procedure. Overall, our findings present strategies to overcome key hurdles in HDR-based HSPC gene therapies, providing a framework for enhancing their efficacy and safety in clinical applications.
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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 | 0.000 | 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 | 0.000 |
| 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".