Testing a gut-focused nutritional combination

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.