Xylo-oligosaccharides from sugarcane show prebiotic potential in a dynamic computer-controlled in vitro model of the adult human large intestine

Venema, Koen; Verhoeven, Jessica; Verbruggen, Sanne; Keller, David

doi:10.3920/bm2019.0159

Cited by 13 publications

(12 citation statements)

References 17 publications

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“…DNA isolation and sequencing of barcoded amplicons of the V3-V4 region of the 16S rRNA gene were essentially performed as described before [25] according to established protocols provided by Illumina (Illumina, Eindhoven, the Netherlands). In brief, barcoded amplicons from the V3-V4 region of 16S rRNA genes were generated using a 2-step PCR.…”

Section: Dna Isolation and Sequencing Of The V3-v4 Region Of The 16s Rrna Genementioning

confidence: 99%

Gut microbiota profile of Indonesian stunted children and children with normal nutritional status

et al. 2021

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The gut microbiota has been shown to play a role in energy metabolism of the host. Dysbiosis of the gut microbiota may predispose to obesity on the one hand, and stunting on the other. The aim of the study was to study the difference in gut microbiota composition of stunted Indonesian children and children of normal nutritional status between 3 and 5 years. Fecal samples and anthropometric measurements, in addition to economic and hygiene status were collected from 78 stunted children and 53 children with normal nutritional status in two regions in Banten and West Java provinces: Pandeglang and Sumedang, respectively. The gut microbiota composition was determined by sequencing amplicons of the V3-V4 region of the 16S rRNA gene. The composition was correlated to nutritional status and anthropometric parameters. Macronutrient intake was on average lower in stunted children, while energy-loss in the form of short-chain fatty acids (SCFA) and branched-chain fatty acids (BCFA) appeared to be higher in stunted children. In stunted children, at the phylum level the relative abundance of Bacteroidetes (44.4%) was significantly lower than in normal children (51.3%; p-value 2.55*10−4), while Firmicutes was significantly higher (45.7% vs. 39.8%; p-value 5.89*10−4). At the genus level, overall Prevotella 9 was the most abundant genus (average of 27%), and it was significantly lower in stunted children than in normal children (23.5% vs. 30.5%, respectively; q-value 0.059). Thirteen other genera were significantly different between stunted and normal children (q-value < 0.1), some of which were at low relative abundance and present in only a few children. Prevotella 9 positively correlated with height (in line with its higher relative abundance in normal children) and weight. In conclusion, Prevotella 9, which was the most abundant genus in the children, was significantly lower in stunted children. The abundance of Prevotella has been correlated with dietary fibre intake, which was lower in these stunted children. Since fibres are fermented by the gut microbiota into SCFA, and these SCFA are a source of energy for the host, increasing the proportion of Prevotella in stunted children may be of benefit. Whether this would prevent the occurrence of stunting or even has the potential to revert it, remains to be seen in follow up research.

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Section: Dna Isolation and Sequencing Of The V3-v4 Region Of The 16s Rrna Genementioning

confidence: 99%

Gut microbiota profile of Indonesian stunted children and children with normal nutritional status

et al. 2021

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“…The stabilization period is essential in dynamic models, and it is performed before starting the experiment. The followed protocol depends on the system characteristics [62,73,74]. Furthermore, achieving the physiological conditions of the environment is a key aspect for reaching the proper simulated microbiota in each colonic region.…”

Section: Dynamic Colonic Fermentation Modelsmentioning

confidence: 99%

“…Furthermore, achieving the physiological conditions of the environment is a key aspect for reaching the proper simulated microbiota in each colonic region. Consequently, these models work at 37 • C, maintain anaerobic conditions (e.g., by periodically flushing nitrogen), control the pH by automatically adding NaOH or HCl to each vessel, and mixing the compartment contents (e.g., by magnetic stirring or peristaltic movements) [73,75]. Finally, colonic variables such as pH, retention time, and volume not only depend on the utilized model but also on the aim or purpose of the study.…”

Section: Dynamic Colonic Fermentation Modelsmentioning

confidence: 99%

“…Assessing the prebiotic effect of some compounds: -Polyphenols (e.g., polyphenols in pre-digested mango peel, pre-digested Hibiscus sabdariffa calyces) -Polysaccharides: (e.g., High-and low-acetylated galactoglucomannooligosaccharides, agave fructans, xylo-oligosaccharides, pectins, chicory root pulp polysaccharides) [62,73,[95][96][97][98] Other applications assessing the effect of: -Supplementation with minerals (e.g., iron).…”

Section: Shimementioning

confidence: 99%

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In Vitro Simulation of Human Colonic Fermentation: A Practical Approach towards Models’ Design and Analytical Tools

et al. 2021

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The human colonic microbiota plays an important role in the food digestion process and has a key role in maintaining health status. This community of microbes is inter-individually different due to several factors that modulate its composition. Among them, diet is one of the most relevant, which, in turn, is affected by environmental, economic, and cultural considerations. These pieces of evidence have promoted the study of the influence of diet on gut microbiota and the development of in vitro models that simulate the colonic digestion of foods. This narrative review aims to present a technical approach of the in vitro gut models available to evaluate the impact of diet on human colonic microbiota. A description and comments on the main characteristics, parameters, applicability, faecal inoculum preparation, and analytical tools are made. Despite the progress of in vitro colonic digestion models and metaomic applicability in this research field, there are still some challenges to face due to the lack of a consensus on the methodologies to conduct in vitro colonic digestions and the need to integrate the metaomic data to fully understand the influence of food in human colonic microbiota.

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“…In this context, the use of diet as a basis for modifying the microbiota has re-emerged in recent years, validating the ancient concepts of the relevant role of nutrition in health (Requena et al, 2018). Therefore, the interest for probiotics or novel sources of prebiotic compounds is increasing all over the world (Ewaschuk and Dieleman, 2006;Gareau et al, 2010;Alagón Fernández del Campo et al, 2019;Venema et al, 2020).…”

Section: Introductionmentioning

confidence: 97%

Exopolysaccharides From Lactobacillus paracasei Isolated From Kefir as Potential Bioactive Compounds for Microbiota Modulation

et al. 2020

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Bengoa et al. EPS From Lactobacillus paracasei as Microbiota Modulators differences in their structural characteristics. It can be concluded that EPS synthesized by both L. paracasei strains, could be potentially used as bioactive compound that modify the microbiota increasing the production of propionic and butyric acid, two metabolites highly associated with beneficial effects both at the gastrointestinal and extra-intestinal level.

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Xylo-oligosaccharides from sugarcane show prebiotic potential in a dynamic computer-controlled in vitro model of the adult human large intestine

Cited by 13 publications

References 17 publications

Gut microbiota profile of Indonesian stunted children and children with normal nutritional status

Gut microbiota profile of Indonesian stunted children and children with normal nutritional status

In Vitro Simulation of Human Colonic Fermentation: A Practical Approach towards Models’ Design and Analytical Tools

Exopolysaccharides From Lactobacillus paracasei Isolated From Kefir as Potential Bioactive Compounds for Microbiota Modulation

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