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Record W4323305723 · doi:10.21203/rs.3.rs-2626068/v1

The Safety and Feasibility of Mediterranean-Ketogenic Dietary Interventions on Gut Health in Parkinson’s Disease: A Protocol for an Open-label, Randomized, Crossover Design Clinical Trial (KIM Trial)

2023· preprint· en· W4323305723 on OpenAlexafffund
Shayan Keymanesh, Kira Tosefsky, Joyce S. T. Lam, Avril Metcalfe‐Roach, Petra Uzelman, Matthew Sacheli, Wolfram Tetzlaff, Tamara R. Cohen, Cheryl L. Wellington, B. Brett Finlay, Silke Appel‐Cresswell

Bibliographic record

VenueResearch Square · 2023
Typepreprint
Languageen
FieldMedicine
TopicDiet and metabolism studies
Canadian institutionsInternational Collaboration On Repair DiscoveriesPacific Centre for Reproductive MedicineUniversity of British Columbia
FundersWeston Family Foundation
KeywordsKetogenic dietMedicineRandomized controlled trialMediterranean dietCrossover studyDiseasePsychological interventionClinical trialMicrobiomePhysiologyInternal medicineBioinformaticsBiologyPlaceboEpilepsyPsychiatryPathology

Abstract

fetched live from OpenAlex

Abstract Background Parkinson’s disease (PD) is the second most common neurodegenerative disorder worldwide, characterized by a constellation of motor and non-motor symptoms. The etiology of PD is not fully understood, however, the early presence of gastrointestinal symptoms and alterations in the gut microbiome suggest a possible intestinal origin. Another pathophysiological feature of PD is an inefficient utilization of glucose by neuronal cells as the main energy source leading to bioenergetic deficits of the brain. Dietary interventions such as the Mediterranean (MeDi) diet and the ketogenic diet (KD) have shown promise in alleviating the gastrointestinal symptoms and bioenergetics deficits of PD, respectively. Nonetheless, classical KDs may unfavorably alter the gut microbiome, e.g., by decreasing short-chain fatty (SCFA) acid levels. Hence, combining the principles of the MeDi and KD may allow us to harness the potential benefits of both these dietary interventions, while maintaining gut health. Methods This study will utilize an open-label, randomized, cross-over design to investigate the safety and feasibility of the Mediterranean-ketogenic diet (MeDi-KD) and MeDi diet supplemented with medium-chain triglycerides (MeDi-MCT) in 50 participants diagnosed with PD. Participants will be randomized to start with either the MeDi-KD or the MeDi-MCT intervention. They will adhere to the respective dietary regimens for 8 weeks followed by an 8-week washout period wherein they will return to their pre-study dietary habits. Following the washout period, the participants will start the other dietary intervention for another 8 weeks. Fecal and blood samples will be collected before and after each intervention to examine the biomarkers associated with gut health. The primary outcome measure of this study will be changes from baseline in fecal SCFA levels, particularly butyrate. Discussion The primary objective of this study is to investigate the safety of two Mediterranean-ketogenic interventions with respect to gut microbiome health in patients with PD. This study will provide preliminary evidence and guidance for subsequent large-scale clinical trials investigating multi-pronged dietary interventions to treat PD. If successful, it will de-risk future studies on ketogenic interventions by providing vital information about the safety, tolerability, adherence, and feasibility of the MeDi-KD and MeDi-MCT. Trial Registration ClinicalTrials.gov Identifier: NCT05469997

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)0.014
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.023
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.012
Meta-epidemiology (narrow)0.0050.002
Meta-epidemiology (broad)0.0070.004
Bibliometrics0.0020.001
Science and technology studies0.0020.003
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0230.004

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 head0.722
GPT teacher head0.637
Teacher spread0.085 · 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 designRandomized trial
Domainnot available
GenreProtocol

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 routes2
Has abstractyes

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