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Record W7028051785

THE EFFECT OF DIETARY FIBRE ON HUMAN LIPID METABOLISM

2023· dissertation· en· W7028051785 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2023
Typedissertation
Languageen
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsPropionateCholesterolGlucagonSerum cholesterolLipid metabolismFatty acidDietary fibreCarnitine
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.454
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.010
GPT teacher head0.214
Teacher spread0.204 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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