Abstract 1105: Gadofluorine M-Cy 3, a Novel Paramegnetic Contrast Agent for the in vivo and Histolgical Identification of Transplanted Cells.
Bibliographic record
Abstract
PURPOSE: Gadofluorine M with a fluorescent dye (GdFMCy3) is a lipophilic paramegnetic contrast agent that is readily absorbed by cultured cells. We hypothesized that this agent would be superior to iron oxide based techniques for cell tracking post cell transplantation. METHODS: Embryonic Stem Cell derived cardiac progenitor cells (ES-CPCs) were generated using previously established methods and incubated for 12 hours with 5 mM GdFMCy3, or transfected with iron oxide using published protocols. Cell survival was >95% for cells incubated with both GdFMCy3 and iron. 500,000 cells labelled with GdFMCy3, iron oxide or control (no contrast agent) were directly injected into the myocardium of mice (n=5/group). Mice were scanned over a two week interval post injection at 9.4T using gated T1-weighted sequences (GdFMCy3), T2* weighted GRE sequences (iron oxide) or the positive contrast sequence GRASP (iron oxide). Mice were sacrificed and the hearts sectioned for microscopy. Perl staining and fluorescence microscopy were used to identify iron oxide and GdFMCy3 within the myocardium, respectively. RESULTS: GdFMCy3 labelled cells were successfully identified in vivo at 9.4T (figure panel B). Good correlation between MRI and histology was observed for both cell labels (figure ). Contrast to noise ratios were significantly higher in the GdFMCy3 group relative to the iron oxide group (figure ). CONCLUSIONS: GdFM-Cy3 is readily taken up by stem cells and easily identified by both MRI and fluorescence microscopy. Given its superior contrast to noise ratio GdFM-Cy3 may be an excellent alternative to iron oxide for in vivo detection and tracking of transplanted cells.
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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 | 0.000 |
| 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".