The Effect of Mulberry Fruits Consumption on Lipid Profiles in Hypercholesterolemic Subjects: A Randomized Controlled Trial
Bibliographic record
Abstract
Mulberry (Morus alba) fruit is abundant nutrients and phytochemicals, especially anthocyanins. Mulberries have anti-oxidant and anti-hyperlipidaemic effects both in vitroand animal models. However, the effect of mulberry fruits on lipid profiles in human is unknown. The aim of this study was to determine the effect of mulberry fruit consumption on lipid profiles in hypercholesterolemic subjects. This study is an experimental study, with a randomized controlled trial. Fifty-eight hypercholesterolemic subjects (aged 30-60 years) were recruited. The intervention group received freeze-dried mulberry 45 g (325 mg anthocyanins) per day for six weeks. The control group had their usual dietary intake for the same period of time. After six weeks, mulberry consumption significantly decreased the level of total cholesterol (TC) (- 3.73 % vs. 3.33 %, p < 0.001) and low density lipoprotein cholesterol (LDL-C) (- 6.53 % vs. 0.15 %, p < 0.001) compared to the control group. No change in triacylglycerol (TAG) and high density lipoprotein cholesterol (HDL-C). Mulberry consumption ameliorates TC and LDL-C concentrations. The mulberry fruits may be an alternative therapy for hypercholesterolemia patients and a cardiovascular disease protective for people in general.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".