A dual magnetic resonance imaging/fluorescent contrast agent for Cathepsin‐D detection
Bibliographic record
Abstract
Currently there are no approved biomarkers for the pre-symptomatic diagnosis of Alzheimer's disease (AD). Cathepsin-D (Cat-D) is a lysosomal protease that is present at elevated levels in amyloid plaques and neurons in patients with AD and is also elevated in some cancers. We have developed a magnetic resonance imaging (MRI)/fluorescent contrast agent to detect Cat-D enzymatic activity. The purpose of this study was to investigate the cellular and tissue uptake of this MRI/fluorescent contrast agent. The agent consists of an MRI probe [DOTA-caged metal ion (Gd³⁺ or Tm³⁺)] and a fluorescent probe coupled to a cell-penetrating-peptide sequence by a Cat-D recognition site. The relaxivity of Gd³⁺-DOTA-CAT(cleaved) was measured in 10% heat-treated bovine serum albumin (BSA) phantoms to assess contrast efficacy at magnetic fields ranging from 0.24 mT to 9.4 T. In vitro, Tm³⁺-DOTA-CAT was added to neuronal SN56 cells over-expressing Cat-D and live-cell confocal microscropy was performed at 30 min. Tm³⁺-DOTA-CAT was also intravenously injected into APP/PS1-dE9 Alzheimer's disease mice (n = 9) and controls (n = 8). Cortical and hippocampal uptake was quantified at 30, 60 and 120 min post-injection using confocal microscopy. The liver and kidneys were also evaluated for contrast agent uptake. The relaxivity of Gd³⁺-DOTA-CAT(cleaved) was 3.3 (mM s)⁻¹ in 10% BSA at 9.4 T. In vitro, cells over-expressing Cat-D preferentially took up the contrast agent in a concentration-dependent manner. In vivo, the contrast agent effectively crossed the blood-brain barrier and exhibited a distinct time course of uptake and retention in APP/PS1-dE9 transgenic mice compared with age-matched controls. At clinical and high magnetic field strengths, Gd³⁺-DOTA-CAT produced greater T₁ relaxivity than Gd³⁺-DTPA. Tm³⁺-DOTA-CAT was taken up in a dose-dependent manner in cells over-expressing Cathepsin-D and was shown to transit the blood-brain barrier in vivo. This strategy may be useful for the in vivo detection of enzyme activity and for the diagnosis of Alzheimer's disease.
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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) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".