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Record W4412177470 · doi:10.1038/s41531-025-01061-5

Faecal microbiota transplant in Parkinson’s disease: pilot study to establish safety & tolerability

2025· article· en· W4412177470 on OpenAlexaff
Michele De Sciscio, Robert V. Bryant, Sarah Haylock‐Jacobs, Alice S. Day, William Pitchers, Robert Iansek, Samuel P. Costello, Thomas Kimber

Bibliographic record

Venuenpj Parkinson s Disease · 2025
Typearticle
Languageen
FieldMedicine
TopicBotulinum Toxin and Related Neurological Disorders
Canadian institutionsCentre for Movement Disorders
FundersHospital Research Foundation
KeywordsParkinson's diseaseTolerabilityMedicineDiseaseFecal bacteriotherapyGut floraIntensive care medicineInternal medicineAdverse effectBiologyImmunologyAntibiotics

Abstract

fetched live from OpenAlex

Emerging evidence suggests gut microbiota differences in Parkinson's Disease (PD) may impact disease progression and treatment. Faecal Microbiota Transplantation (FMT) offers a potential therapeutic approach. We conducted an open-label pilot study to assess the safety, tolerability, and symptom impact of FMT in 12 patients with mild to moderate PD, administered via enema for 6 months. FMT was safe and well tolerated, causing only mild, transient gastrointestinal symptoms. While no significant motor symptom changes were observed, there was a trend toward reduced daily OFF time at 2 months. Whilst no sustained improvement in non-motor symptoms was found after 6 months, transient improvements in quality of life and non-motor scores were noted at 2 months; these gains regressed by study end. Overall, extended FMT therapy in PD appears safe and tolerable, with reduction in daily motor OFF time and self-reported non-motor symptoms that was not sustained throughout the 6-months of treatment.

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)0.002
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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.002
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 head0.287
Teacher spread0.263 · 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 designNon-randomized trial
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

Citations14
Published2025
Admission routes1
Has abstractyes

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