Abstract P307: Chitin-Glucan Fiber Effects on Oxidized Low-Density Lipoprotein: A Randomized Controlled Trial
Bibliographic record
Abstract
Oxidized low-density lipoprotein (OxLDL) is believed to play a role in the progression of atherosclerotic coronary heart disease (CHD) and the development of diabetes complications. This randomized, double-blind, placebo-controlled study of a novel insoluble fiber derived from the mycelium Aspergillus niger , chitin-glucan (CG) (ARTINIA™), evaluated 135 patients with fasting LDL-cholesterol 130-189.9 mg/dl and fasting glucose <=125 mg/dl. Participants were randomly assigned to receive CG (4.5 g/day; n=34), CG (1.5 g/day; n=33), CG (1.5 g/day) plus olive extract (n=33), or matching placebo (n=35) for 6 weeks. The primary outcome measure was the between-group difference in OxLDL. Secondary outcome measurements included effects upon lipid, glucose, insulin, and F2-isoprostane levels. After 6 weeks, CG 4.5 g/day (CG-4.5) significantly reduced mean OxLDL 3.8 U/L compared to baseline (58.0 U/L vs 61.8 U/L, respectively; P =0.006), and reduced OxLDL 4.97 U/L compared to placebo (P=<0.05). Other treatment groups generally had no significant effect upon OxLDL. CG treatment groups reduced LDL-cholesterol levels 3.2–;6.5% compared to placebo (P<0.05). In this study population without diabetes mellitus or elevated glucose levels, CG did not significantly affect high density lipoprotein cholesterol, triglycerides, glucose, insulin, F2-isoprostanes, or the homeostasis model assessment of insulin resistance. Treatments were well tolerated and with adverse experiences comparable to placebo. These results suggest that chitin-glucan, a novel insoluble fiber, may significantly reduce OxLDL and LDL-cholesterol levels, which may have therapeutic implications for patients at risk for CHD or other diabetes complications.
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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 | 0.001 | 0.003 |
| 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 | 0.000 |
| 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 | 0.001 |
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".