2020
DOI: 10.1016/j.ces.2020.115965
|View full text |Cite
|
Sign up to set email alerts
|

Mechanistic exploration of glycemic lowering by soluble dietary fiber ingestion: Predictive modeling and simulation

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
8
0

Year Published

2021
2021
2025
2025

Publication Types

Select...
8
1

Relationship

1
8

Authors

Journals

citations
Cited by 13 publications
(8 citation statements)
references
References 48 publications
0
8
0
Order By: Relevance
“…Insoluble dietary fiber can slow down the absorption rate of the small intestine. It can promote intestinal motility and satiety, prevent the surge of blood glucose concentration, and reduce plasma cholesterol concentration (Cronin et al, 2021;Qin et al, 2020). Soluble dietary fiber can regulate intestinal flora and prevent metabolic syndrome (Wang et al, 2021;Zhu et al, 2021).…”
Section: Ie Tary Fib Ermentioning
confidence: 99%
“…Insoluble dietary fiber can slow down the absorption rate of the small intestine. It can promote intestinal motility and satiety, prevent the surge of blood glucose concentration, and reduce plasma cholesterol concentration (Cronin et al, 2021;Qin et al, 2020). Soluble dietary fiber can regulate intestinal flora and prevent metabolic syndrome (Wang et al, 2021;Zhu et al, 2021).…”
Section: Ie Tary Fib Ermentioning
confidence: 99%
“…Continuous product removal eliminates the effect of product inhibition on intestinal digestive enzymes, particularly trypsin and chymotrypsin, which were reported to exhibit product inhibition [62][63][64][65]. Based on the in-vivo data of blood nutrient concentration, the nutrient absorption process in a dynamic in-vitro model can be designed using engineering analysis of mass transfer [66][67][68].…”
Section: Engineering Aspect Of the Dynamic Modelmentioning
confidence: 99%
“…The in silico model used here is a spatiotemporally distributed intestinal absorption model coupled to an established glucose–insulin regulation system. This in silico blood glucose prediction model has been validated against human clinical data with regard to the accurate prediction of human glycemic response curves following the absorption of glucose in healthy and diabetic subjects [ 15 , 22 , 23 ]. The in silico model integrates the main gastrointestinal processes including gastric emptying, transport along the small intestine, and absorption through the intestinal membrane.…”
Section: Rationales and Implementation Of The New Approachmentioning
confidence: 99%
“…The in silico model integrates the main gastrointestinal processes including gastric emptying, transport along the small intestine, and absorption through the intestinal membrane. The origin and mechanism of the in silico model have been detailed in recent work [ 23 ]. With the measured in vitro convertible glucose as input data for the in silico blood glucose prediction model, the relative glucose area (RGA), and the peak blood glucose concentration (PGC) in mmol/L based on the predicted glycemic response curves can be obtained after ingesting a specified serving size of a dish or a food product.…”
Section: Rationales and Implementation Of The New Approachmentioning
confidence: 99%