Targeting Phosphatidylserine with a <sup>64</sup>Cu-Labeled Peptide for Molecular Imaging of Apoptosis
Bibliographic record
Abstract
Molecular imaging of programmed cell death (apoptosis) in vivo is an innovative strategy for early assessment of treatment response and treatment efficacy in cancer patients. Externalization of phosphatidylserine (PS) to the cell membrane surface of dying cells makes this phospholipid an attractive molecular target for the development of apoptosis imaging probes. In this study, we have radiolabeled PS-binding 14-mer peptide FNFRLKAGAKIRFG (PSBP-6) with positron-emitter copper-64 ( 64 Cu) for PET imaging of apoptosis. Peptide PSBP-6 was conjugated with radiometal chelator 1,4,7-triazacyclononane-1,4,7-triacetic acid (NOTA) through an aminovaleric acid (Ava) linker for subsequent radiolabeling with 64 Cu to prepare radiotracer 64 Cu-NOTA-Ava-PSBP-6. PS-binding potencies of PSBP-6, NOTA-Ava-PSBP-6, and nat Cu-NOTA-Ava-PSBP-6 were determined in a competitive radiometric PS-binding assay. Radiotracer 64 Cu-NOTA-Ava-PSBP-6 was studied in camptothecin-induced apoptotic EL4 mouse lymphoma cells and in a murine EL4 tumor model of apoptosis using dynamic PET imaging. Peptide PSBP-6 was also conjugated via an Ava linker with fluorescein isothiocyanate (FITC). FITC-Ava-PSBP-6 was evaluated in flow cytometry and fluorescence confocal microscopy experiments. Radiopeptide 64 Cu-NOTA-Ava-PSBP-6 was synthesized in high radiochemical yields of >95%. The IC 50 values for PS-binding potency of PSBP-6, NOTA-Ava-PSBP-6, and nat Cu-NOTA–PSBP-6 were 600 μM, 30 μM, and 23 μM, respectively. A competitive radiometric cell binding assay confirmed binding of 64 Cu-NOTA-Ava-PSBP-6 to camptothecin-induced apoptotic EL4 cells in a Ca 2+ -independent manner. PET imaging studies demonstrated significantly higher uptake of 64 Cu-NOTA-Ava-PSBP-6 in apoptotic EL4 tumors (SUV 5min 0.95 ± 0.04) compared to control tumors (SUV 5min 0.74 ± 0.03). Flow cytometry studies showed significantly higher binding of FITC-Ava-PSBP-6 to EL4 cells treated with camptothecin compared to untreated cells. Fluorescence microscopy studies revealed that FITC-Ava-PSBP-6 was binding to cell membranes of early apoptotic cells, but was internalized in late apoptotic and necrotic cells. The present study showed that radiotracer 64 Cu-NOTA-Ava-PSBP-6 holds promise as a first peptide-based PET imaging agent for molecular imaging of apoptosis. However, additional “fine-tuning” of 64 Cu-NOTA-Ava-PSBP-6 is required to enhance PS-binding potency and in vivo stability to improve tumor uptake and retention.
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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".