Hydrophobically modified low molecular weight chitosans as efficient and nontoxic gene delivery vectors
Bibliographic record
Abstract
BACKGROUND: Chitosan derivatives are potential candidates for gene delivery because they are biocompatible and low toxic. However, their use has been limited by their moderate transfection efficiency and the rather large sizes of DNA complexes with high molecular weight chitosans. To circumvent these limitations, we used low molecular weight (approximately 5 kDa) chitosans grafted at 3 and 18 mol% with N-/2(3)-(dodec-2-enyl)succinoyl groups (HM-LMW-ch) that exhibit surfactant-like properties. METHODS: The physico-chemical properties of complexes of DNA with the two HM-LMW-ch derivatives and the nonmodified LMW-ch were compared by electrophoresis, dynamic light scattering, fluorescence spectroscopy and fluorescence correlation spectroscopy. Moreover, their transfection efficiencies and cytotoxicity were evaluated and their intracellular trafficking was monitored by confocal microscopy. Finally, their ability to deliver genes in mice kidneys after systemic administration was investigated. RESULTS: Complexes with HM(3%)-LMW-ch, but not with HM(18%)-LMW-ch and LMW-ch, efficiently delivered genes in mice kidneys. HM(3%)-LMW-ch formed small positively charged particles that were resistant to DNases and nucleases and marginally interact with serum components. Moreover, these particles were efficiently internalized in cells and low toxic. By contrast, HM(18%)-LMW-ch formed large and weakly charged aggregates with DNA that were highly susceptible to DNases and nucleases. CONCLUSIONS: HM(3%)-LMW-ch appears to be a promising nonviral vector with low cytotoxicity and efficient transfection properties.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".