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临床试验/NCT07619560
NCT07619560招募中不适用

Developing Precision Microbiota-Based Cocktail Modification Therapy to Delay the Progression of Parkinson's Disease - Use Preclinical Human Trials to Confirm the Impact of the Optimal "Probiotic Y7, Tryptophan and Branched-chain Amino Acid" Cocktail Formula on Early Stage Parkinson's Disease Patient

Taipei Medical University1 个研究点 分布在 1 个国家目标入组 120 人开始时间: 2025年5月20日最近更新:

试验速览

阶段
不适用
状态
招募中
入组人数
120
试验地点
1

研究概览

简要总结

Preclinical human trials will be utilized to validate the research direction, followed by clinical trials to assess the impact of a cocktail formula product containing the optimal probiotic Y7 combined metabolites on motor, cognitive, and non-motor functions in early Parkinson's disease patients. The study aims to recruit 120 patients (stage 1-3) and employ a two-arm, randomized controlled trial (RCT) design, dividing subjects into intervention and control groups for a 12 weeks trial period. Commercial development will be contingent upon the clinical trial outcomes, evaluating whether the product offers clinical benefits such as delaying Parkinson's disease progression in motor, cognitive, and non-motor functions. Additionally, a personalized and precise prognosis prediction model for Parkinson's disease will be established. This model will gather comprehensive clinical data, including motor function assessments (functional tests, UPDRS), biochemical markers, questionnaire responses, and genotype data (TPM array), as well as metabolite and microbial data. Through integrated analysis of this biological information using machine learning techniques, a personalized and accurate prognosis prediction model for Parkinson's disease will be developed. This model will predict the disease status of PD patients 12 weeks later, accounting for factors such as cocktail therapy. The results will empower PD patients to understand their individual disease progression and treatment prognosis, enabling them to prepare accordingly. Moreover, this model will aid researchers in identifying patient profiles more likely to benefit from treatment, thereby enhancing the evaluation of the efficacy and applicability of cocktail therapy.

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Parallel
主要目的
Prevention
盲法
None

入排标准

年龄范围
30 Years 至 85 Years(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Subject Inclusion Criteria:
  • Age between 30-85 years old.
  • Diagnosed with early-stage Parkinson's disease (Hoehn and Yahr scale stage 1-3).
  • Brain MRI confirms striatal degeneration in the basal ganglia region, with no history of stroke.
  • Responds to Parkinson's disease-related medications (e.g., Levodopa).
  • Free of any major or acute illnesses.
  • Able to comply with the 12 weeks intervention and required assessments for the study.

排除标准

  • Unable to complete interviews or has mobility issues.
  • Presence of major or acute illness before or during the study.
  • Co-existing intestinal co-infections, such as CDI, E. coli, Salmonella, Shigella, Campylobacter, plague, or cytomegalovirus.
  • Allergic to the intervention product.
  • Pregnant or breastfeeding women.

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Huang, Hui-Yu

Taipei Medical University, graduate Institute of Metabolism and Obesity Sciences, Professor

Taipei Medical University

研究点 (1)

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