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
Mild cognitive impairment (MCI) represents the symptomatic predementia stage of Alzheimer’s disease (AD). To delay the progression of MCI to AD, appropriate interventions capable of modulating the microbiota-gut-brain (MGB) axis are necessary. This study was designed to assess the efficacy and safety of MT104, a dietary supplement comprising Cuscuta seeds and heat-killed probiotics, based on the biological mechanisms regulating the MGB axis in patients with MCI. This was a multicenter, randomized, double-blind, and placebo-controlled study. All patients were randomly allocated in a 1:1 ratio to the MT104 or placebo group. Global cognition was assessed using the Korean-Montreal Cognitive Assessment (K-MoCA) and Korean-Mini Mental State Examination at baseline and after 12 weeks of treatment. The visuospatial function was assessed using the copying performance from the Rey Complex Figure Test (RCFT), and verbal and visual memory functions were evaluated using the Seoul Verbal Learning Test (SVLT) and RCFT. Differences between groups were analyzed using either the t -test or the Mann–Whitney U test. Analyses of covariance and ranked analysis of covariance were performed. The mean changes in verbal memory function, as measured by the SVLT delayed recall, showed clinically significant improvement in the MT104 group relative to the placebo group in the intention-to-treat and per-protocol groups. Global cognition, as measured using the K-MoCA, also significantly improved in the per-protocol group. In addition, no significant findings were identified. This study highlighted the potential of dietary therapeutic strategies focused on reducing the risk of progression from MCI to AD.
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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 | 0.000 |
| 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) | 0.002 | 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".