Novel pyridinium-based cationic lipids as gene delivery vectors
Bibliographic record
Abstract
Background: For the past two decades, cationic lipids have remained one of the most widely used non-viral gene delivery vectors due in large to their safety and ease of use despite having low efficiency. We and others believe that the key to improving the effectiveness of non-viral agents is unlocking the still unsolved mechanism behind lipid gene delivery. Our objective is the rational design, synthesis and evaluation of the DNA complexation and in vitro delivery efficiency of novel lipid vectors in an effort to gain structure-function data which may give insight towards the non-viral mechanism. Objectives: Here we report preliminary data on two novel pyridinium-based cationic lipid vectors, designated as TFSA (saturated acyclic structure) and TFUA (unsaturated acyclic structure), both possessing a pyridinium headgroup with a delocalized positive charge, and two saturated (TFSA) or monounsaturated (TFUA) C15 hydrophobic alkyl chains. In the case of the unsaturated analogue, the double bonds are located at the terminal ends of the alkyl chains. Methods: Liposomes were prepared from these novel pyridinium-based cationic lipids in combination with a commercial vector, EPC, together with a co-lipid, 1,2-dioleoyl-sn-glycero-3-phosphoethanolamine (DOPE) or cholesterol. Lipid-DNA complexes (lipoplexes) were then formulated by incubating the liposomes with plasmid DNA. Lipoplexes were characterized by gel retardation, DNAse I degradation, as well as biocompatibility and β-galactosidase (β-gal) transfection assays using Chinese Hamster Ovarian (CHO-K1) cells. Fluorescent GFP-plasmid DNA was used to track DNA inside cells using epifluorescence microscopy. Results: The novel lipid formulations were shown to effectively complex DNA and protect it from DNAse I degradation. They were biocompatible with CHO-K1 cells, and performed better when they were formulated with cholesterol over DOPE as co-lipid. Furthermore, the formulation containing the unsaturated compound (TFUA/EPC/DOPE) revealed transfection efficiencies far above TFSA/EPC/DOPE, and superior to the commercial transfection agent EPC formulated alone with DOPE. Results from the GFP-plasmid tracking experiments were consistent with the relative β-gal expressions observed in the transfection assay. Conclusions: These preliminary results suggest that our novel pyridinium-based cationic lipid vectors are effective gene transfer agents, suitable for further investigations into the mechanism of non-viral gene delivery.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.006 |
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; both teacher heads agree on what is shown here.
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".