THE EFFECT OF DIETARY FIBRE ON HUMAN LIPID METABOLISM
Bibliographic record
Abstract
Soluble fibre has been shown to lower serum cholesterol under experimental conditions. To date no survey has shown a relationship between soluble fibre and serum cholesterol.\n\nA survey was designed to establish if any relationship existed between the habitual intake of soluble fibre and serum cholesterol in 96 Saskatoon residents. Stepwise multiple regression\nanalysis showed that soluble fibre was inversely related and responsible for 10% of the variation in serum total cholesterol (TC). TC, LDL-cholesterol (LDL-C), VLDL-cholesterol (VLDL-C)\nand triglycerides (TG) were directly related to Age, and HDL-C was inversely related to Age. Body Mass Index (BMI) was inversely related to HDL-C and directly related to VLDL-C and TG.\n\nThe cholesterol lowering effect of soluble fibre may be mediated through propionate, a short chain fatty acid (SCFA) normally produced from the fermentation in the colon. Propionyl-CoA may compete with acetyl-CoA for binding sites on HMG-CoA synthase. Changes in serum glucagon have been reported when SCFA are infused rectally, and propionate is known to have a high affinity for carnitine. Increased glucagon secretion (which may inhibit cholesterol synthesis) has been reported as a response to decreased hepatic carnitine (CN) levels. To\nresearch one of possible mechanisms responsible for the cholesterol lowering of soluble fibre, a study was designed to determine if the SCFA propionate lowers serum cholesterol in human subjects, if acetate modifies the response, and to explore the mechanisms by which propionate, carnitine and glucagon interact.\n\nThe study was carried out using 9 healthy male volunteers (initial TC > 5.5 mmol/L), who where fed a controlled low CN diet ( < 200 µmol/d) for 45 days (d). For 15-day periods subjects were on control (CTRL) or given by mouth 75 mmol propionate (PR) or 75 mmol propionate + 180 mmol acetate (PR+ACET). Treatment order was randomized.\n\nFaecal samples were collected throughout the study, and radiopaque faecal markers were given daily to ensure complete collection and measure intestinal transit time. 24 hour urine was collected on the last five days of each period during which the PABACHECK markers were taken (3xd). Urine samples were analyzed for para-amino benzoic acid (PABA) recovery to\ndetermine completeness of collection. On the last 2 days of each period fasting blood was taken. \n\nStatistical analysis was carried out by paired t-test with level of significance established at p <0.017 (Bonferroni correction for multiple comparisons).\n\nFaecal output (marker corrected faecal dry weight) decreased with propionate but no change was seen when acetate was added: CTRL 40.3 ±2.9 g/d (Mean±SEM); PR 36.3 ±2.6 g/d (p =0.001); PR +ACET 38.7 ±2.1 g/d. Neither total bile acids nor non-starch polysaccharide (NSP) excretion changed with either treatment.\n\nNo ketones were found in any of the urine samples on either treatment and urinary urea nitrogen values were unchanged. Propionate significantly lowered serum total cholesterol when given alone, but when given together with acetate, no reduction was seen: CTRL 5.8 ±0.29 mmol/L; PR 5.5±0.30 mmol/L (p =0.005); PR + ACET 5.8 ±0.27 mmol/L. LDL-cholesterol was also significantly lowered by propionate with no change when acetate was added: CTRL 4.1 ±0.24 mmol/L; PR 3.8 ±0.29 mmol/L (p =0.013); PR + ACET 4.0 ±0.27 mmol/L. HDL-C, VLDL-C and TG were unchanged with both treatments. Serum SCFA showed no significant change with either treatment. Insulin was unchanged but glucagon increased with propionate, but not with added acetate: CTRL 93.8+2.7 pg/mL; PR 98.9±3.3 pg/mL (p=0.016); PR+ACET 98.3+4.2 pg/mL. Carnitine was measured in the plasma, urine and diet. No changes were found in plasma or urinary carnitines with either treatment. \nThis study shows that propionate supplementation, clearly interferes with lipid metabolism in humans. Propionate reduced serum TC by 5%, and LDL-C by 7%. However until specific human liver enzymes can be studied in relation to these metabolic pathways, there is not enough evidence to indicate the mechanisms responsible. Both the increase in glucagon or competitive inhibition of acetyl-CoA in the synthesis of HMG-CoA could have been responsible for the lowering of serum cholesterol.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".