Mechanism-based antidiabetic activity of Fructo- and isomalto-oligosaccharides: Validation by in vivo, in silico and in vitro interaction potential

Production of isomaltooligosaccharides (IMO) using simultaneous saccharification and transglucosylation from starch and sustainable sources

“…Isomaltooligosaccharide (IMO) are considered as potential prebiotics and are reported to stimulate the growth of colonic bifidobacterium and lactobacilli in rats and humans [7][8][9][10]. They are antidiabetic, non-cariogenic and known to have a low glycemic index [11]. They generally consist of 2-5 glucose moieties linked together by ␣- (1,6) linkage, and sometimes there can be a possible presence of ␣- (1,4) linkage along with the ␣-(1,6) linkage [12].…”

“…They generally consist of 2-5 glucose moieties linked together by ␣- (1,6) linkage, and sometimes there can be a possible presence of ␣- (1,4) linkage along with the ␣-(1,6) linkage [12]. The most common IMOs are isomaltose, panose, isomaltotetraose, isomaltopentaose, nigerose and kojibiose and many of them occur naturally in a number of fermented foods like soy sauce, miso, sake and honey [11].…”

Slowly Digestible‐ and Non‐Digestible α‐Glucans: An Enzymatic Approach to Starch Modification and Nutritional Effects

“…Further suppression of the dietary digestibility combined with increased solubility is achieved by production of slowly digestible maltooligosaccharides (SDMs) and highly branched maltooligosaccharides, so called isomaltooligosaccharides (IMOs). Different SDM and IMO structures can exert different digestive functionality and theses are characterized to some extent with respect to their prebiotic effects . IMO structure is based on α‐ d ‐glucopyranose units mainly linked by the hydrolytically rather resistant α‐1,6 glucosidic linkages.…”

The Coming Age of Future Medicine: Next Frontier

“…Useful tools for predicting drug combinations with a synergistic effect can increase the success rates of drug action. The identification of effective, synergistic drug combinations could lead to an increased understanding of complicated disease pathophysiology and to the design of better treatments for the disease [13]. This method used a phenotypic cell viability assay to generate dose-response curves for each drug first.…”