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Record W4412808162 · doi:10.2196/76551

Changes in Gut Microbiome Following Acupuncture and Moxibustion in Patients With Parkinson Disease: Protocol for a Single-Group, Prospective, Observational Study

2025· article· en· W4412808162 on OpenAlexvenueno aff
Han‐Gyul Lee, Seungwon Kwon, Mijung Yeom, Sun-Young Bae, Hi‐Joon Park

Bibliographic record

VenueJMIR Research Protocols · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsnot available
Fundersnot available
KeywordsObservational studyParkinson's diseaseMedicineMoxibustionProtocol (science)PreprintPhysical therapyDiseaseAcupuncturePsychologyGerontologyAlternative medicineInternal medicinePathologyWorld Wide Web

Abstract

fetched live from OpenAlex

BACKGROUND: Parkinson disease (PD), a prevalent neurodegenerative disorder characterized by motor and nonmotor symptoms, is becoming increasingly prevalent worldwide. Conventional treatment for PD involves dopamine therapy, including levodopa; however, this treatment is ineffective for nonmotor symptoms and may cause adverse effects. The gut-brain axis has been hypothesized to promote PD, and regulation of gut microbiome, which modulates the gut-brain axis, is emerging as a treatment target. Acupuncture and moxibustion exert therapeutic effects on PD and modulate the gut microbial composition. OBJECTIVE: We present a protocol for analyzing the effects of acupuncture and moxibustion on gut microbiome and exploring its association with symptoms in patients with PD. METHODS: This single-group, prospective, observational study will recruit 60 patients with idiopathic PD and 20 healthy participants. Baseline gut microbiome patterns and motor and nonmotor symptoms of both groups will be compared. Patients with PD will be treated with acupuncture, moxibustion, and intradermal acupuncture twice a week for 12 weeks (24 sessions total). Motor and nonmotor symptoms and gut microbiome changes in patients with PD will be compared before starting treatment (day 0), during treatment (6 weeks), at the end of treatment (12 weeks), and 2 months after the end of treatment (20 weeks). The correlation between motor and nonmotor symptoms of PD changed by acupuncture and moxibustion treatment and changes in gut microbiome will be analyzed. Healthy participants will be assessed for motor and nonmotor symptoms of PD and gut microbiome after screening. RESULTS: This study was supported by the National Research Foundation of Korea, funded by the Ministry of Science and ICT (Information and Communication Technology), Republic of Korea, and recruitment for the study started on October 21, 2021. As of February 19, 2025, recruitment and observation ended, and data analysis is being conducted. CONCLUSIONS: This is the first clinical study to assess the effects of acupuncture and moxibustion on gut microbiome and explore its association with symptoms in patients with PD. The results will provide clinical evidence to explain the microbiome-gut-brain axis mechanism of acupuncture and moxibustion for PD and suggest the possibility of acupuncture as an alternative therapy for PD. TRIAL REGISTRATION: Clinical Research Information Service KCT0006669; https://tinyurl.com/42jsxs5a. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/76551.

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)0.019
metaresearch head score (Gemma)0.018
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: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.023
Threshold uncertainty score0.101

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.018
Meta-epidemiology (narrow)0.0050.002
Meta-epidemiology (broad)0.0090.005
Bibliometrics0.0020.002
Science and technology studies0.0050.002
Scholarly communication0.0020.003
Open science0.0030.002
Research integrity0.0060.004
Insufficient payload (model declined to judge)0.0230.007

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 head0.148
GPT teacher head0.491
Teacher spread0.344 · 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
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
Published2025
Admission routes1
Has abstractyes

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