Correlating <i>in vitro</i> digestion viscosities and bioaccessible nutrients of milks containing enhanced protein concentration and normal or modified protein ratio to human trials
Bibliographic record
Abstract
This work compared in vitro and in vivo digestion of breakfast cereal with milks containing high protein concentration (9.3 wt%) and the normal protein ratio (80 casein : 20 whey) or a modified ratio (40 casein : 60 whey) and with a water-permeate control. The in vivo study indicated that high protein concentration and modified ratio in milks delays the postprandial appearance of blood glucose (BG) and amino acids due to delayed gastric emptying and hormonal responses. However, the role of viscosity and/or protein structure during digestion was not examined. Therefore, milks and the control were digested in vitro (oral (O, 2 min), gastric (G, 62 min) and duodenal (D, 92 min)) to determine viscosity, particle disintegration, protein solubility and hydrolysis, and the bioaccessibilities of sugars and total amino acids (TAA). The normal ratio (80 : 20) treatment demonstrated higher structural viscosity during digestion (P < 0.05) due to the formation of casein aggregates and interaction with cereal and greater TAA (mg per g protein of undigested breakfast) caused by gastric hydrolysis (DH%; P = 0.01). Overall, there were no treatment differences for disintegration, solubility and d-glucose. Protein-containing treatments inhibited amylolysis and lowered reducing sugars (mg g-1 available carbohydrates of undigested breakfast) compared to the control. Similar trends were observed between higher viscosity (Pa s) during gastric stage and slower in vivo gastric emptying (paracetamol, mmol L-1). Also, protein treatments inhibited amylolysis and lowered reducing sugar (mg g-1 of carbohydrates) and may have contributed to lowered BG (mmol L-1 g-1 of carbohydrates) after the duodenal phase. However, increased viscosity, elicited by higher proportions of casein, did not inhibit starch hydrolysis and appearance of BG. In vitro systems provide similar trends in biomarkers to in vivo studies and can be used to answer specific physiological questions.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".