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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".