Restoring hematopoietic stem and progenitor cell function in Fancc mice by in situ delivery of RNA lipid nanoparticles
Bibliographic record
Abstract
Fanconi anemia (FA) is a congenital multisystem disorder characterized by early-onset bone marrow failure (BMF) and cancer susceptibility. While ex vivo gene addition and repair therapies are being considered as treatment options, depleted hematopoietic stem cell (HSC) pools, poor HSC mobilization, compromised survival during ex vivo transduction, and increased sensitivity to conventional conditioning strategies limit eligibility for FA patients to receive gene therapies. As an alternative approach, we explored in vivo protein replacement by mRNA delivery via lipid nanoparticles (LNPs). Our study aims to address several key obstacles to current mRNA-LNP treatment: access to the HSC niche, effective expression half-life, and potential mRNA LNP immunogenicity. Results demonstrate efficient in vivo LNP transfection of murine BM via intravenous or intrafemoral injections, yielding reporter expression across hematopoietic and non-hematopoietic BM niche populations. Functionally, LNP delivery of modified Fancc mRNA restored ex vivo expansion. In a proof of principle approach, LNP-treated murine Fancc −/− HSPCs engrafted with restored alkylator resistance up to 120 h post-treatment using circularized mRNA constructs. In vitro delivery of mRNA LNPs resulted in modest differences in innate immune target gene expression in both FA and wild-type HSPCs. Our results suggest that mRNA-LNP-based protein replacement therapy holds promise for clinical translation.
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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".