Ionizable Lipid with Supramolecular Chemistry Features for RNA Delivery In Vivo
Bibliographic record
Abstract
Lipid nanoparticles (LNPs) and ribonucleic acid (RNA) technology are highly versatile tools that can be deployed for diagnostic, prophylactic, and therapeutic applications. In this report, supramolecular chemistry concepts are incorporated into the rational design of a new ionizable lipid, C3-K2-E14, for systemic administration. This lipid incorporates a cone-shaped structure intended to facilitate cell bilayer disruption, and three tertiary amines to improve RNA binding. Additionally, hydroxyl and amide motifs are incorporated to further enhance RNA binding and improve LNP stability. Optimization of messenger RNA (mRNA) and small interfering RNA (siRNA) formulation conditions and lipid ratios produce LNPs with favorable diameter (<150 nm), polydispersity index (<0.15), and RNA encapsulation efficiency (>90%), all of which are preserved after 2 months at 4 or 37 °C storage in ready-to-use liquid form. The lipid and formulated LNPs are well-tolerated in animals and show no deleterious material-induced effects. Furthermore, 1 week after intravenous LNP administration, fluorescent signal from tagged RNA payloads are not detected. To demonstrate the long-term treatment potential for chronic diseases, repeated dosing of C3-K2-E14 LNPs containing siRNA that silences the colony stimulating factor-1 (CSF-1) gene can modulate leukocyte populations in vivo, further highlighting utility.
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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".