Characterization and Delivery of DNA Aptamers Selected for the Prevention of Alpha-Synuclein Aggregation in Parkinson's Disease
Bibliographic record
Abstract
Aptamers are functional nucleic acids that function in a wide variety of applications, from biosensing to catalysis to therapeutics.Considered functionally analogous to antibodies, aptamers are single-stranded oligonucleotides capable of binding to target molecules with great affinity and specificity.In the field of medicine, the potential biological application of aptamers as a therapeutic or diagnostic is ever growing.Aptamers designed to target α-synuclein, a protein implicated in the pathogenesis of Parkinson's disease due to its propensity to aggregate, were investigated to probe their affinity for the protein as well as their ability to hinder the aggregation of the protein in vitro.Aggregation assays have proven that the presence of the aptamer candidates targeting monomeric α-synuclein stunt the formation of protein fibrils.One promising aptamer from the research, a-syn-1, was successfully packaged into a liposome vesicle modified to cross the blood-brain barrier and used in in vivo applications.The a-syn-1 aptamer has been delivered to the brains of transgenic mice, expressing human α-synuclein, where it has been colocalized with α-synuclein, and ongoing pharmacokinetic studies are being pursued to investigate the lifetime and distribution of the aptamer in a mouse model through extraction and PCR amplification of the aptamer.Analysis of the liposomes used for the packaging and delivery of the aptamer has provided insight into the loading efficiency and production efficiency of liposome batches.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".