Effect of Cyclodextrin Complexation on the in vivo Disposition of the Brain Imaging Radiopharmaceutical 99mTechnetium Ethyl Cysteinate Dimer (99mTc-ECD)
Bibliographic record
Abstract
The brain imaging radiopharmaceutical, 99mTechnetium ethyl cysteinate dimer (99mTc-ECD, 99mTc-bicisate) is the most recent addition to the available set of radiopharmaceuticals for measuring cerebral blood flow. Ideally radiotracers should be trapped in the brain long enough so that their distribution can be quantitated and should demonstrate good spatial resolution. Furthermore, the stability (chemical and metabolic) and bioavailability of radiopharmaceuticals have in general proved to be a challenge during development and clinical administration. In view of these challenges and background, this study with 99mTc-ECD is presented. The aims of this research program were to develop novel approaches to improve the chemical and metabolic stability and the bioavailability of 99mTc-ECD across the blood brain barrier for cerebral blood flow determinations, using the well known non-human primate in vivo baboon model. These aims were addressed by investigating the influence of cyclodextrin--99mTc-ECD complexation on normal cerebral blood flow patterns, using two different cyclodextrins, i.e., gamma-cyclodextrin (CAS 17465-86-0) and beta-trimethylcyclodextrin (CAS 55216-11-0). The effect of incubation of 99mTc-ECD (with or without cyclodextrin complexation) in plasma, on metabolic esterase action, was also investigated. Possible protection against plasma esterase by acetylcholine (CAS 51-84-3) of 99mTc-ECD was further determined. The current study has shown that cyclodextrin complexation of 99mTc-ECD indeed offers a useful approach to improve the stability of the radiopharmaceutical against peripheral metabolism. The acetylcholine shows also potential to protect 99mTc-ECD. However, it is clear from the current data that the choice of cyclodextrin is of utmost importance, as has been observed from significantly reduced the bioavailability of 99mTc-ECD when complexed with beta-trimethylcyclodextrin. The plasma incubation procedures showed that gamma-cyclodextrin offers protection with only slightly reduced bioavailability. This study has indicated that novel approaches, such as cyclodextrin technologies, indeed show potential to modify the performance in its currently available 99mTc-ECD form.
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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 | 0.001 |
| 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 | 0.000 |
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 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".