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Record W4381330915 · doi:10.1101/2023.06.16.23290981

Cholinergic innervation topography in GBA-associated <i>de novo</i> Parkinson’s disease patients

2023· preprint· en· W4381330915 on OpenAlexfundno aff
Sofie Slingerland, Sygrid van der Zee, Giulia Carli, Anne C. Slomp, Jeffrey M. Boertien, Nicolaas I. Bohnen, Roger L. Albin, Teus van Laar

Bibliographic record

VenuemedRxiv · 2023
Typepreprint
Languageen
FieldMedicine
TopicLysosomal Storage Disorders Research
Canadian institutionsnot available
FundersWeston Brain Institute
KeywordsPutamenDopaminergicParkinson's diseaseCholinergicPsychologyInternal medicineGlucocerebrosidaseLevodopaNeuroscienceOncologyMedicineDiseaseDopamine

Abstract

fetched live from OpenAlex

Abstract The most common genetic risk factors for Parkinson’s disease are GBA1 mutations, encoding the lysosomal enzyme glucocerebrosidase. Patients with GBA1 mutations (GBA-PD) exhibit earlier age of onset and faster disease progression with more severe cognitive impairments, postural instability, and gait problems. The GBA-PD features suggests more severe cholinergic system pathologies. PET imaging with the vesicular acetylcholine transporter ligand [ 18 F]-F-fluoroethoxybenzovesamicol ([ 18 F]FEOBV PET) provides the opportunity to investigate cholinergic systems changes and their relationship to clinical features of GBA-PD. One hundred and twenty three newly diagnosed, treatment-naive Parkinson’s disease subjects – with confirmed presynaptic dopaminergic deficits on PET imaging – were included, all part of the Dutch Parkinson Cohort (DUPARC) study. Full GBA1 sequencing of saliva samples was performed to evaluate GBA1 variants. Patients underwent extensive neuropsychological assessment assessing all cognitive domains, motor evaluation with the Unified Parkinson’s disease Rating Scale, brain MRI, dopaminergic PET to measure striatal-to-occipital ratios of the putamen and [ 18 F]FEOBV PET. We investigated differences in regional cholinergic innervation between GBA-PD carriers and non- GBA1 mutation carriers (non-GBA-PD), using voxel-wise and volume-of-interest (VOI)-based approaches. The degree of overlap between t-maps from two-sample t-test models was quantified using the Dice similarity coefficient. Seventeen (13.8%) subjects had a GBA1 mutation. No significant differences were found in the clinical features and dopaminergic ratios between GBA-PD and non-GBA-PD at diagnosis. Lower [ 18 F]FEOBV binding was found in both the GBA-PD and non-GBA-PD group compared to controls. Dice ( P < 0.05, cluster size 100) showed a good overlap (0.6233) between the GBA-PD and non-GBA-PD maps. GBA-PD patients showed more widespread reduction in [ 18 F]FEOBV binding than non-GBA-PD when compared to controls in occipital, parietal, temporal, and frontal cortices ( P < 0.05, FDR-corrected). In VOI analyses (Bonferroni corrected), the left cuneus, entorhinal cortex, fusiform gyrus and supramarginal gyrus were more affected in GBA-PD. De novo GBA-PD show a distinct topography of regional cholinergic terminal ligand binding, including both higher and lower binding regions. Although the Parkinson’s disease groups were not distinguishable clinically, in comparison to healthy controls, GBA-PD showed more extensive cholinergic denervation compared to non-GBA-PD. Our results suggest that de novo GBA-PD and non-GBA-PD show differential patterns of cholinergic system changes before clinical differences are observable.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.040
GPT teacher head0.309
Teacher spread0.269 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2023
Admission routes1
Has abstractyes

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