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Pretargeted PET of Osteodestructive Lesions in Dogs

2022· article· en· W4281784746 on OpenAlex
Charles A. Maitz, Samantha Delaney, Brendon E. Cook, Afaf R. Genady, Rebecca Hoerres, Marina Kuchuk, Georgios Makris, John F. Valliant, Saman Sadeghi, Jason S. Lewis, Heather M. Hennkens, Jeffrey N. Bryan, Brian M. Zeglis

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMolecular Pharmaceutics · 2022
Typearticle
Languageen
FieldChemistry
TopicClick Chemistry and Applications
Canadian institutionsMcMaster University
FundersNational Institute of Biomedical Imaging and BioengineeringNational Cancer InstituteNational Institutes of Health
KeywordsMedicineNuclear medicinePositron emission tomographyRadioligandPretargetingPet imagingIn vivoTetrazineChemistryInternal medicineReceptorBiology

Abstract

fetched live from OpenAlex

The last decade has witnessed the creation of a highly effective approach to in vivo pretargeting based on the inverse electron demand Diels–Alder (IEDDA) click ligation between tetrazine (Tz) and trans-cyclooctene (TCO). Despite the steady progression of this technology toward the clinic, concerns have persisted regarding whether this in vivo chemistry will work in humans given their larger size and blood volume. In this work, we describe the use of a 64Cu-labeled Tz radioligand ([64Cu]Cu-SarAr-Tz) and a TCO-bearing bisphosphonate (TCO-BP) for the pretargeted positron emission tomography (PET) imaging of osteodestructive lesions in a large animal model: companion dogs. First, in a small animal pilot study, healthy mice were injected with TCO-BP followed after 1 or 6 h by [64Cu]Cu-SarAr-Tz. PET images were collected 1, 6, and 24 h after the administration of [64Cu]Cu-SarAr-Tz, revealing that this approach produced high activity concentrations in the bone (>20 and >15%ID/g in the femur and humerus, respectively, at 24 h post injection) as well as high target-to-background contrast. Subsequently, companion dogs (n = 5) presenting with osteodestructive lesions were administered TCO-BP (5 or 10 mg/kg) followed 1 h later by [64Cu]Cu-SarAr-Tz (2.2–7.3 mCi; 81.4–270.1 MBq). PET scans were collected for each dog 4 h after the administration of the radioligand, and SUV values for the osteodestructive lesions, healthy bones, and kidneys were determined. In these animals, pretargeted PET clearly delineated healthy bone and produced very high activity concentrations in osteodestructive lesions. Low levels of uptake were observed in all healthy organs except for the kidneys and bladder due to the renal excretion of excess radioligand. Ultimately, this work not only illustrates that pretargeted PET with TCO-BP and [64Cu]Cu-SarAr-Tz is an effective tool for the visualization of osteodestructive lesions but also demonstrates for the first time that in vivo pretargeting based on IEDDA click chemistry is feasible in large animals.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.012
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

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)0.0020.000

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.

Opus teacher head0.024
GPT teacher head0.314
Teacher spread0.289 · 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