Efficacy and safety of MT104, a dietary supplement based on <i>Cuscuta</i> seeds and heat‐killed probiotics, on cognitive function in patients with mild cognitive impairment: A 12‐week, multicenter, randomized, double‐blind, placebo‐controlled clinical trial
Bibliographic record
Abstract
BACKGROUND: Mild cognitive impairment (MCI) represents the symptomatic pre-dementia stage of Alzheimer's disease (AD). Given the increasing prevalence of AD and its socioeconomic burden, delaying the progression of MCI to AD is critical. Modulating the microbiota-gut-brain (MGB) axis has emerged as a promising therapeutic approach. This study aimed to evaluate the efficacy and safety of MT104, a dietary supplement containing Cuscuta seeds and heat-killed probiotics, in regulating the MGB axis in patients with MCI. METHOD: This multicenter, randomized, double-blind, placebo-controlled study involved participants randomly assigned in a 1:1 ratio to receive MT104 or placebo. Cognitive function was assessed using the Korean-Montreal Cognitive Assessment (K-MoCA) and Korean-Mini Mental State Examination at baseline and after 12 weeks of treatment. Visuospatial and memory functions were evaluated using the Rey Complex Figure Test and Seoul Verbal Learning Test (SVLT). Statistical analyses included t-tests, Mann-Whitney U tests, analysis of covariance (ANCOVA), and ranked ANCOVA. RESULT: The mean changes in verbal memory function, as measured by SVLT delayed recall, showed clinically significant improvement in the MT104 group compared with the placebo group in the intention-to-treat and per-protocol groups. The global cognition, as measured by the K-MoCA, also significantly improved in the per-protocol group. Additionally, there were no significant findings regarding the safety profile of MT104. CONCLUSION: MT104 improved memory performance and global cognition in patients with MCI without safety concerns. These findings support the potential of dietary therapeutic strategies to reduce the risk of progression from MCI to AD dementia. Further studies are needed to confirm these results and explore the long-term benefits of MT104.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".