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Record W4210604509 · doi:10.2967/jnumed.121.263254

First-in-Humans Evaluation of <sup>18</sup>F-SMBT-1, a Novel <sup>18</sup>F-Labeled Monoamine Oxidase-B PET Tracer for Imaging Reactive Astrogliosis

2022· article· en· W4210604509 on OpenAlexaff
Victor L. Villemagne, Ryuichi Harada, Vincent Doré, Shozo Furumoto, Rachel S. Mulligan, Yukitsuka Kudo, Samantha C. Burnham, Natasha Krishnadas, Svetlana Bozinovski, Kun Huang, Brian J. Lopresti, Kazuhiko Yanai, Christopher C. Rowe, Nobuyuki Okamura

Bibliographic record

VenueJournal of Nuclear Medicine · 2022
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsInstitute of Aging
FundersNational Health and Medical Research CouncilMedical Research CouncilUniversity of Pittsburgh
KeywordsAstrogliosisSelegilineMonoamine oxidase BNeurodegenerationChemistryGliosisMonoamine oxidaseWhite matterPittsburgh compound BMagnetic resonance imagingNuclear medicineInternal medicineNeuroscienceAlzheimer's diseaseMedicinePathologyPsychologyBiochemistryParkinson's diseaseCentral nervous systemDiseaseEnzyme

Abstract

fetched live from OpenAlex

<b>Background:</b> Reactive gliosis changes, characterized by reactive astrocytes and activated microglia, contribute greatly to neurodegeneration throughout the course of Alzheimer’s disease (AD). Reactive astrocytes overexpress monoamine oxidase-B (MAO-B). We characterized the clinical performance of <sup>18</sup>F-SMBT-1, a novel MAO-B PET tracer as a potential surrogate marker of reactive astrogliosis. <b>Methods:</b> Seventy-seven participants –53 controls (CN), 7 mild cognitively impaired (MCI), 7 AD patients, and 10 young controls (YCN)– were recruited for the different aspects of the study. Older participants underwent 3D-MPRAGE MRI and Aβ, tau, and <sup>18</sup>F-SMBT-1 imaging with PET. To ascertain <sup>18</sup>F-SMBT-1 selectivity to MAO-B, 9 participants underwent two <sup>18</sup>F-SMBT-1 scans, before and after receiving 5mg selegiline twice daily for 5 days. To compare selectivity, <sup>18</sup>F-THK5351 studies were also conducted before and after selegiline. Aβ burden was expressed in Centiloids. <sup>18</sup>F-SMBT-1 outcomes were expressed as standard uptake value, as well as tissue ratios and binding parameters using the subcortical white matter as reference region. <b>Results:</b><sup>18</sup>F-SMBT-1 showed robust entry into the brain and reversible binding kinetics, with high tracer retention in basal ganglia, intermediate in cortical regions, and lowest in cerebellum and white matter which tightly follows the known regional brain distribution of MAO-B (R2=0.84). More than 85% of <sup>18</sup>F-SMBT-1 signal was blocked by selegiline across the brain and, in contrast to <sup>18</sup>F-THK5351, no residual cortical activity was observed after the selegiline regimen, indicating high selectivity for MAO-B and low non-specific binding. <sup>18</sup>F-SMBT-1 also captured the known MAO-B increases with age, with an annual rate of change (~2.6%/yr), similar to the in vitro rates of change (~1.9%/yr). Quantitative and semiquantitative measures of <sup>18</sup>F-SMBT-1 binding were highly associated (R2&gt;0.94), suggesting a simplified tissue ratio approach could be used to generate outcome measures. <b>Conclusion:</b><sup>18</sup>F-SMBT-1 is a highly selective MAO-B tracer, with low non-specific binding, high entry into the brain and displaying reversible kinetics. Moreover, <sup>18</sup>F-SMBT-1 brain distribution matches the reported in vitro distribution and captures the known MAO-B increases with age, suggesting <sup>18</sup>F-SMBT-1 can potentially be used as a surrogate marker of reactive astrogliosis. Further validation of these findings with <sup>18</sup>F-SMBT-1 will require examination of a much larger series, including participants with MCI and 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 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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.518
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.063
GPT teacher head0.355
Teacher spread0.292 · 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 teacher head, not a consensus.

Study designSimulation or modeling
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

Citations68
Published2022
Admission routes1
Has abstractyes

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