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Record W3093712937 · doi:10.1002/mds.28340

Serotonergic System Impacts Levodopa Response in Early Parkinson's and Future Risk of Dyskinesia

2020· article· en· W3093712937 on OpenAlexafffund
Jessie Fanglu Fu, Michele Matarazzo, Jessamyn McKenzie, Nicole Neilson, Nasim Vafai, Katie Dinelle, André C. Felício, Martin J. McKeown, A. Jon Stoessl, Vesna Sossi

Bibliographic record

VenueMovement Disorders · 2020
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsVancouver Coastal HealthUniversity of British Columbia
FundersInstitute of Neurosciences, Mental Health and AddictionCanadian Institutes of Health ResearchNatural Sciences and Engineering Research Council of CanadaFondation Brain Canada
KeywordsSerotonergicDyskinesiaLevodopaNeuroscienceParkinson's diseaseMedicineDegenerative diseasePsychologyCentral nervous system diseaseSerotoninInternal medicineDisease

Abstract

fetched live from OpenAlex

ABSTRACT Background The serotonergic system is known to contribute to levodopa‐derived dopamine release in advanced Parkinson's disease. Objective We investigated the role of the serotonergic system in determining response to treatment in early disease and risk for complications concurrently with dopaminergic alterations. Methods Eighteen patients with early and stable Parkinson's disease underwent multitracer positron emission tomography using [11C]dihydrotetrabenazine (vesicular monoamine transporter 2 marker), [11C]methylphenidate (dopamine transporter marker), [11C]‐3‐amino‐4‐(2‐dimethylaminomethylphenylsulfanyl)‐benzonitrile (DASB, serotonin transporter marker), and [11C]raclopride (D2 marker) to investigate relationships between striatal dopaminergic and serotonergic alterations and levodopa‐induced dopamine release, related to motor response to treatment and risk for dyskinesias, using a novel joint pattern analysis. Results The joint pattern analysis revealed correlated spatial patterns conceptually related to abnormal dopamine turnover in the putamen (higher dopamine release associated with dopaminergic and serotonergic denervation); response to treatment significantly inversely correlated with turnover‐related dopamine release (P < 10−5). Patterns identified without inclusion of the DASB data showed no correlation with clinical data, indicating an important contribution from the serotonergic system to a clinically relevant abnormal dopamine release in early disease. Subjects who experienced dyskinesia 3 years after baseline scans showed higher turnover‐related dopamine release compared with subjects who remained stable (P < 0.01). Conclusions Joint analysis of dopaminergic and serotonergic data identified a turnover‐related dopamine release component, strongly related to motor response to levodopa in early disease and contributing to higher risk for dyskinesia. These findings suggest that the contribution of the serotonergic system to dopamine release not only increases the risk for motor complications but also fails to provide sustained therapeutic advantage in early disease. © 2020 International Parkinson and Movement Disorder Society

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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.008
GPT teacher head0.226
Teacher spread0.218 · 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

Citations20
Published2020
Admission routes2
Has abstractyes

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