P3‐226: <i>In vitro</i> cellular uptake of a magnetic resonance imaging (MRI)/fluorescent contrast agent for detection of Cathepsin‐D activity in Alzheimer's disease
Bibliographic record
Abstract
There are currently no clinically useful biomarkers for the early diagnosis of Alzheimer's disease (AD). Cathepsin D (CatD) is a lysosomal protease present at elevated levels in amyloid plaques and neuronal cells of AD patients. We have synthesized a magnetic resonance imaging (MRI)/fluorescent contrast agent, DOTA-CAT, to detect CatD. DOTA-CAT consists of a DOTA-caged metal ion, coupled to a cell-penetrating peptide sequence and a CatD recognition site. A fluorescent probe, Oregon Green, was also attached to DOTA-CAT to monitor its uptake optically. The purpose of this study was to establish the cellular uptake of this MRI/fluorescent contrast agent targeting CatD. SN56 cells, a neuronal cell line, were cultured and differentiated. To simulate conditions of increased CatD, cells were transfected with a plasmid which stimulates high level expression of human CatD tagged with red fluorescent protein. Varying concentrations (5, 10, 50, 100 μM) of DOTA-CAT were added to the media of SN56 cells and confocal microscopy was performed at 30 minutes. Uptake was quantified by counting the proportion of cells which were labeled with DOTA-CAT expressed as Mean ± SEM. Lastly, cleavage experiments on DOTA-CAT were performed using purified CatD and analyzed using electrospray-ionization mass spectrometry (ESI-MS). In uptake experiments, 19 ± 2% of cells exposed to the agent at 5 μM took up DOTA-CAT, and this number increased with concentration such that at 100 μM, 78 ± 7% of cells took up DOTA-CAT. In contrast, a maximum of 5 ± 1% of cells not over-expressing CatD took up DOTA-CAT over the entire concentration range. DOTA-CAT was observed intracellularly and in intracellular vesicles frequently co-localized with red fluorescent protein tagged-CatD within lysosomes. In cleavage experiments, incubation of DOTA-CAT with CatD produced a 1906.6 Da fragment confirming the cleavage of DOTA-CAT at the predicted CatD recognition sequence. These experiments demonstrate that DOTA-CAT interacts with CatD and is cleaved as predicted. Furthermore, DOTA-CAT is preferentially taken up by SN56 cells over-expressing CatD in a concentration dependant manner. Therefore, DOTA-CAT shows significant potential as a molecular imaging probe that will be further evaluated in future experiments using an in-vivo model of AD.
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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 | 0.001 |
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".