MétaCan
Menu
← Back to cohort
Record W4243436450 · doi:10.1016/j.jalz.2010.05.1725

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

2010· article· en· W4243436450 on OpenAlexaff
Robert Ta, Alex X. Li, Mojmı́r Suchý, Robert H. E. Hudson, Stephen Pasternak, Robert Bartha

Bibliographic record

VenueAlzheimer s & Dementia · 2010
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsWestern UniversityRobarts Clinical Trials
Fundersnot available
KeywordsDOTACathepsin DChemistryIn vitroMRI contrast agentCell cultureTransfectionMagnetic resonance imagingMolecular biologyFluorescenceBiochemistryBiologyGadoliniumEnzymeMedicine

Abstract

fetched live from OpenAlex

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.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.017
GPT teacher head0.274
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueAlzheimer s & Dementia→Same topicAlzheimer's disease research and treatments→French-language works237,207→