Glenn R Gibson’s research while affiliated with University of Reading and other places

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Publications (364)


Author Correction: Classifying compounds as prebiotics — scientific perspectives and recommendations
  • Article

October 2024

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22 Reads

Nature Reviews Gastroenterology &#38 Hepatology

Robert Hutkins

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Jens Walter

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Glenn R. Gibson

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[...]

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Classifying compounds as prebiotics — scientific perspectives and recommendations

October 2024

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89 Reads

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2 Citations

Nature Reviews Gastroenterology &#38 Hepatology

Microbiomes provide key contributions to health and potentially important therapeutic targets. Conceived nearly 30 years ago, the prebiotic concept posits that targeted modulation of host microbial communities through the provision of selectively utilized growth substrates provides an effective approach to improving health. Although the basic tenets of this concept remain the same, it is timely to address certain challenges pertaining to prebiotics, including establishing that prebiotic-induced microbiota modulation causes the health outcome, determining which members within a complex microbial community directly utilize specific substrates in vivo and when those microbial effects sufficiently satisfy selectivity requirements, and clarification of the scientific principles on which the term 'prebiotic' is predicated to inspire proper use. In this Expert Recommendation, we provide a framework for the classification of compounds as prebiotics. We discuss ecological principles by which substrates modulate microbiomes and methodologies useful for characterizing such changes. We then propose statistical approaches that can be used to establish causal links between selective effects on the microbiome and health effects on the host, which can help address existing challenges. We use this information to provide the minimum criteria needed to classify compounds as prebiotics. Furthermore, communications to consumers and regulatory approaches to prebiotics worldwide are discussed.


Schematic describing an overview of the experimental workflow.
Compositional analysis of selected bacterial taxa and abundance changes over time due to supplementation: Bifidobacterium spp. (A), Lactobacillus spp. (B), Dorea spp. (C), and Ruminococcus bromii (D). As fermentation residence time increases, differential changes occur within the community. Significant pairwise comparisons by treatment at the same time point (p < 0.05): # denotes PP relative to FB (PP-FB); ^ denotes PPFB-FB; * denotes PPFB-PP. Significant difference compared to F at the same time point (p < 0.05) can be seen in Table S3. F = non-supplemented; PP = polyphenol blend; FB = fiber blend, PPFB = PP and FB blend. Data are means ± SEMs (n = 3).
Mean SCFA concentrations over fermentation residence time during supplementation (n = 3). As fermentation increases, FB blend shows a marked increase in total SCFA content, similar to PPFB blend. * Significant differences of each treatment relative to F at the same time point (p < 0.05). F = non-supplemented; PP = polyphenol blend; FB = fiber blend; PPFB = PP and FB blend.
Net changes in indole concentration over time during supplementation including the corresponding linear slope analysis (inset). As fermentation residence time increases, all three blends show a marked decrease in indole, which are statistically different than that of F at 24 h. Linear slopes show differences in indole production rate for the FB and PPFB blends relative to F. * Significant differences across treatment compared to F at the same time point (p < 0.05). ^ Significant differences compared to PP at the same time point (p < 0.05). Data are means ± SEMs (n = 3). F = non-supplemented; PP = polyphenol blend; FB = fiber blend; PPFB = PP and FB blend.
Net changes in ammonia concentration over time during supplementation including the corresponding linear slope analysis (inset). As fermentation residence time increases, FB and PPFB blends show a marked decrease in pro-inflammatory marker ammonia that is statistically different to what is seen in F. Linear slopes show a dramatic rate reduction in ammonia production for PPFB relative to F. * Significant differences across treatment compared to F at same time point (p < 0.05). Data are means ± SEMs (n = 3). F = non-supplemented; PP = polyphenol blend; FB = fiber blend; PPFB = PP and FB blend.

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In Vitro Fermentation Shows Polyphenol and Fiber Blends Have an Additive Beneficial Effect on Gut Microbiota States
  • Article
  • Full-text available

April 2024

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85 Reads

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5 Citations

Polyphenols and fermentable fibers have shown favorable effects on gut microbiota composition and metabolic function. However, few studies have investigated whether combining multiple fermentable fibers or polyphenols may have additive beneficial effects on gut microbial states. Here, an in vitro fermentation model, seeded with human stool combined from 30 healthy volunteers, was supplemented with blends of polyphenols (PP), dietary fibers (FB), or their combination (PPFB) to determine influence on gut bacteria growth dynamics and select metabolite changes. PP and FB blends independently led to significant increases in the absolute abundance of select beneficial taxa, namely Ruminococcus bromii, Bifidobacterium spp., Lactobacillus spp., and Dorea spp. Total short-chain fatty acid concentrations, relative to non-supplemented control (F), increased significantly with PPFB and FB supplementation but not PP. Indole and ammonia concentrations decreased with FB and PPFB supplementation but not PP alone while increased antioxidant capacity was only evident with both PP and PPFB supplementation. These findings demonstrated that, while the independent blends displayed selective positive impacts on gut states, the combination of both blends provided an additive effect. The work outlines the potential of mixed substrate blends to elicit a broader positive influence on gut microbial composition and function to build resiliency toward dysbiosis.

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Figure 1. Schematic describing an overview of the experimental workflow. CCM = Complex Colonic Medium.
Figure 2. Compositional analysis of selected bacterial taxa and abundance changes over time due to supplementation. Bifidobacterium spp. (A), Lactobacillus spp. (B), Dorea spp. (C), Ruminococcus bromii (D). As fermentation residence time increases, differential changes occur within the community. F = nonsupplemented; PP= polyphenol blend; FB = fiber blend, PPFB -PP and FB blend. Data are Mean ± SEM (n = 3).
Figure 3. Mean SCFA concentrations over fermentation residence time during supplementation (n = 3). As fermentation increases, FB blend shows a marked increase in total SCFA, similar to PPFB blend. *Significant differences of each treatment relative to F at the same time point (p<0.05). F = nonsupplemented; PP= polyphenol blend; FB = fiber blend, PPFB = PP and FB blend.
In Vitro Fermentation Shows Polyphenol and Fiber Blends Have an Additive Beneficial Effect on Gut Microbiota States

March 2024

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27 Reads

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1 Citation

Polyphenols and fermentable fibers have shown favorable effects on gut microbiota composition and metabolic function. However, few studies have investigated whether combining multiple fermentable fibers or polyphenols may have additive beneficial effects on gut microbial states. Here, an in vitro fer-mentation model, seeded with human stool combined from 30 healthy volunteers, was supplemented with blends of polyphenols (PP), dietary fibers (FB) or their combination (PPFB) to determine influence on gut bacteria growth dynamics and select metabolite changes. PP and FB blends independently lead to significant increases in the absolute abundance of select beneficial taxa, namely Ruminococcus bromii, Bifidobacterium spp., Lactobacillus spp. and Dorea spp. Total short chain fatty acid concentrations, relative to non-supplemented control (F), increased significantly with PPFB and FB supplementation, but not PP. Indole and ammonia concentrations decreased with FB and PPFB supplementation, but not PP alone while increased antioxidant capacity was only evident with both PP and PPFB. These findings demonstrated that, while the independent blends displayed selective positive impacts on gut states, combination of both blends provided an additive effect. The work outlines the potential of mixed substrate blends to elicit a broader positive influence on gut microbial composition and function to build resiliency toward dysbiosis.


Figure 1. Baseline bacterial counts at timepoint zero for both healthy control and UC samples expressed as log 10 cells ml −1 of sample for each oligonucleotide probe. Error bars represent standard error of the mean, pairwise comparisons annotated where statistical significance reached: * P ≤ .05, * * P ≤ .01, * * * P ≤ .001.
Figure 2. Bacterial counts from baseline microbiota to 8 and 24 h with each oligonucleotide probe in patients with UC in negative control vessel and with each substrate. Individual panels shown for Eub 338 I-II-III (i), Bif164 (ii), Lab158 (iii), Bac303 (iv), Erec482 (v), Rrec584 (vi), Ato291 (vii), Prop853 (viii), Fprau655 (ix), DSV687 (x), and Chis150 (xi). Pairwise comparisons annotated where statistical significance reached between mean values: * P ≤ .05, * * P ≤ .01.
Figure 4. Ratio of change from baseline microbiota to 24 h with each oligonucleotide probe in both healthy controls and patients with UC for negative control and each substrate. Separate graphs shown for negative control (i), 2 -FL (ii), FOS (iii), and GOS (iv). Error bars represent standard error of the mean.
Figure 5. Concentrations of organic acids at baseline, and then at 8, 24, and 48 h post-inoculation for the negative control vessel and for each substrate in samples taken from patients with UC. Separate graphs shown for acetate (i), butyrate (ii), propionate (iii), and total SCFA (iv). Error bars denote standard error of the mean, pairwise comparisons annotated where statistical significance reached: * P ≤ .05, * * P ≤ .01, * * * P ≤ .001, * * * * P ≤ .0 0 01.
Comparison of Prebiotic Candidates in Ulcerative Colitis using an in vitro Fermentation Model

February 2024

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37 Reads

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2 Citations

Journal of Applied Microbiology

Aims This study explored the effect of three different prebiotics, the human milk oligosaccharide (HMO) 2’-Fucosyllactose (2’-FL), an oligofructose-enriched inulin (fructo-oligosaccharide, or FOS), and a galacto-oligosaccaride (GOS) mixture, on the faecal microbiota from patients with ulcerative colitis (UC) using in vitro batch culture fermentation models. Changes in bacterial groups and short-chain fatty acid (SCFA) production were compared. Methods and Results In vitro, pH controlled batch culture fermentation was carried out over 48 hours on samples from three healthy controls and three patients with active UC. Four vessels were ran, one negative control and one for each of the prebiotic substrates. Bacterial enumeration was carried out using fluorescence in situ hybridisation with flow cytometry. SCFA quantification was performed using gas chromatography mass spectrometry. All substrates had a positive effect on the gut microbiota and led to significant increases in total SCFA and propionate concentrations at 48 hours. 2’-FL was the only substrate to significantly increase acetate and led to the greatest increase in total SCFA concentration at 48 hours. 2’-FL best suppressed Desulfovibrio spp., a pathogen associated with UC. Conclusions 2’FL, FOS and GOS all significantly improved the gut microbiota in this in vitro study and also led to increased SCFA.



A Timeline of the trial, showing crossover design and duration of the trial. B Overview of each study day showing the specific time that all food and preload drinks were consumed. Anthropometric data collection and sample collection shown, as well as visual analogue scale (VAS) timings. This is when participants recorded their subjective satiety and hunger scores
Flowchart showing the flow of recruitment, enrolment, and final analysis. Participants consumed either a control maltodextrin drink for 21 days, or a treatment drink (I + AX), a prebiotic blend of 4 g inulin, and 4 g long-chain arabinoxylan
A Data presented as the mean ± S.E (n = 19). Fasting satiety and hunger scores. B Postprandial satiety and hunger AUC from segmental analysis of specific segments, at different stages of the satiety cascade. SA1: breakfast to preload (75 min), SA2: post-preload (30 min), SA3: pre-lunch to lunch (105 min), and SA4: post-lunch (30 min). Significance set at < 0.05 and denoted with an asterisk (*)
Post-treatment energy intake (Kcal), during the ad libitum study meal. This meal was consumed following 21 day consumption of control drink or I + AX drink. Differences are estimated marginal means between treatments ± S.D. Significant set at (P < 0.05) and marked with an asterisk (*)
Chronic consumption of a blend of inulin and arabinoxylan reduces energy intake in an ad libitum meal but does not influence perceptions of appetite and satiety: a randomised control-controlled crossover trial

April 2023

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68 Reads

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3 Citations

European Journal of Nutrition

Purpose Prebiotic foods can be used to increase production of short-chain fatty acids (SCFA) in the gut. Of the SCFA, propionate is credited with the strongest anorectic activity. In previous work, a 50/50 blend of inulin and arabinoxylan was produced (I + AX) that significantly increased propionate production in an in vitro gut model. This study sought to establish whether chronic consumption of a prebiotic blend of I + AX decreases appetite and energy intake and increases intestinal propionate production in human participants. Methods MIXSAT (clinicaltrials.gov id: NCT02846454, August 2016) was a double-blind randomised acute-within-chronic crossover feeding trial in healthy adult men (n = 20). Treatments were 8 g per day I + AX for 21 days or weight-matched maltodextrin control. The primary outcome measure was perceived satiety and appetite during an acute study visit. Secondary outcomes were energy intake in an ad libitum meal, faecal SCFA concentration, and faecal microbiota composition. Results Perceived satiety and appetite were not affected by the intervention. I + AX was associated with a reduction in energy intake in an ad libitum meal, increased faecal SCFA concentration, and an increase in cell counts of Bifidobacteria, Lactobacilli, and other microbial genera associated with health. Implications Chronic consumption of this blend of prebiotics decreased energy intake in a single sitting. Further studies are needed to confirm mechanism of action and to determine whether this might be useful in weight control.


Impact of inorganic iron and haem on the human gut microbiota; An in vitro batch-culture approach

February 2023

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135 Reads

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2 Citations

Although iron is an essential nutrient for humans, as well as for almost all other organisms, it is poorly absorbed (~15%) from the diet such that most passes through the upper gut into the large intestine. The colonic microbiota is thus exposed to, and potentially influenced by, such residual iron which could have an impact on human health. The aim of the research described here is to determine how the major forms of dietary iron (inorganic iron and haem) influence metabolic activity and composition of the human gut microbiota by utilizing an in vitro parallel, pH-controlled anaerobic batch culture approach. Controlled iron provision was enabled by the design of a ‘modified’ low-iron gut-model medium whereby background iron content was reduced from 28 to 5 μM. Thus, the impact of both low and high levels of inorganic and haem iron (18–180 μM and 7.7–77 μM, respectively) could be explored. Gut-microbiota composition was determined using next generation sequencing (NGS) based community profiling (16S rRNA gene sequencing) and flow-fluorescent in situ hybridization (FISH). Metabolic-end products (organic acids) were quantified using gas chromatography (GC) and iron incorporation was estimated by inductively coupled plasma optical emission spectroscopy (ICP-OES). Results showed that differences in iron regime induced significant changes in microbiota composition when low (0.1% w/v) fecal inoculation levels were employed. An increase in haem levels from 7.7 to 77 μM (standard levels employed in gut culture studies) resulted in reduced microbial diversity, a significant increase in Enterobacteriaceae and lower short chain fatty acid (SCFA) production. These effects were countered when 18 μM inorganic iron was also included into the growth medium. The results therefore suggest that high-dietary haem may have a detrimental effect on health since the resulting changes in microbiota composition and SCFA production are indicators of an unhealthy gut. The results also demonstrate that employing a low inoculum together with a low-iron gut-model medium facilitated in vitro investigation of the relationship between iron and the gut microbiota.


Figure 3. Impact of probiotic and/or prebiotic supplementation on the faecal microbiota: single-stage anaerobic batch culture fermentations inoculated with nonpooled faecal samples from four healthy donors were carried out using GMM containing 1% (59 mmol l −1 ) MSG supplemented with the probiotic strains L. brevis LB01 or L. plantarum 299v in combination or not with the prebiotic OFI. (a) Alpha diversity measured as observed species at baseline and after 48 h of fermentation in all tested conditions. (b) Principal coordinates analysis of weighted UniFrac distances of microbiota composition profiles (as determined by 16S rRNA gene amplicon sequencing) obtained at baseline (0 h) and 48 h for all tested conditions. (c) Microbiota composition at family level at baseline and after 48 h of fermentation with different probiotic and/or prebiotic supplements. (d) Taxonomic cladogram generated from LefSe analysis showing significant difference in microbiota profile of three groups at 48 h (negative control, L. brevis LB01, and L. plantarum 299v). Taxa identified by LEfSe analysis were statistically significant using an alpha of 0.05 and exceeded an LDA log score of ±4 to explain the differences between the different testing groups after 48 h of fermentation.
List of commercial probiotics formulations tested for GABA producing ability.
Gamma aminobutyric acid production by commercially available probiotic strains

December 2022

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256 Reads

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12 Citations

Journal of Applied Microbiology

Aims: Certain bacteria can produce gamma aminobutyric acid (GABA) from glutamate in the human intestinal tract, leading to the possibility of altering GABA levels through diet. To this end, we assessed the ability of seven commercially available probiotic supplements to produce GABA. Method and results: Probiotic strains were compared for GABA production in pure culture. The bacteria were inoculated at a concentration of 107 CFU ml-1 in 10 ml MRS supplemented with monosodium glutamate (1% w/v), both with and without oligofructose-enriched inulin (OFI) (1% w/v). Two strains with the highest production of GABA were further assessed for 48 h in pH-controlled anaerobic batch cultures inoculated with faecal bacteria. Liquid chromatography-mass spectrometry (LC-MS) was used for quantification of GABA and microbiota composition was determined through 16S rRNA gene sequencing. Levilactobacillus brevis LB01 (CGMCC 16921) and Lactiplantibacillus plantarum 299v (DSM 9843) were the most efficient producers of GABA. High GABA levels (28.32 mmol l-1 ± 0.29) were produced by the probiotic strain L. brevis LB01 at pH 5.4-5.6. This was significantly higher than the levels of GABA produced by L. plantarum (4.8 mmol l-1 ± 6.8) and a negative control (2.9 mM ± 3.1). The addition of OFI did not further stimulate GABA production under the conditions tested. The ability of these strains to produce GABA in-vitro was further evaluated in a faecal microbiota environment. Once again, L.brevis LB01 produced the highest levels of GABA (40.24 mmol l-1 ± 20.98). Conclusions: L. brevis LB01 was found to be the most efficient probiotic strain, of those tested, for GABA production.


Gut microbial modulation by culinary herbs and spices

December 2022

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59 Reads

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10 Citations

Food Chemistry

Culinary herbs and spices have previously been recognised for their potential impact on health through antioxidant and antimicrobial properties. They may also be promotors of positive microbial modulation by stimulating beneficial gut bacteria during fermentation, increasing the production of short chain fatty acids and thereby exhibiting a prebiotic effect. In the present paper, current literature around herb and spice consumption, gut microbiota modulation and prospective health benefits were reviewed. Herb and spice consumption can positively modulate gut microbes and possibly play an important role in inflammation related afflictions such as obesity. Current literature indicates that few human studies have been conducted to confirm the impact of herb and spice consumption on gut microbiota in connection with prospective health outcomes and inconsistencies in conclusions therefore remain.


Citations (71)


... If such a causal link is demonstrated, a biologically plausible hypothesis should be supported by relevant statistical analysis explaining how microbiota modulation leads to the health effect. This evidence of selectivity may come from either compositional change in microbiota or functional readouts, with modulation ranging from narrow to broad taxonomic shifts, often reflected in altered microbial metabolic activity [32]. ...

Reference:

Exploring the Prebiotic Potentials of Hydrolyzed Pectins: Mechanisms of Action and Gut Microbiota Modulation
Classifying compounds as prebiotics — scientific perspectives and recommendations
  • Citing Article
  • October 2024

Nature Reviews Gastroenterology &#38 Hepatology

... In vitro models of the human lower GI tract offer a platform to assess the influence of dietary inputs on gut microbiota. A DoD-unique in vitro fermentation model that simulates the human lower GI tract, termed GI-jA2COB (joint Army Automated Colon on a Bench), has been implemented to explore the influence of polyphenol and fiber blends to examine the additive beneficial effects on healthy gut microbiota states [41]. GI-jA2COB was seeded with fecal samples in independent colonic domain mode to mimic the conditions of the ascending colon (pH 5.5) and was grown in a nutrient rich, complex colonic medium. ...

In Vitro Fermentation Shows Polyphenol and Fiber Blends Have an Additive Beneficial Effect on Gut Microbiota States

... It is possible that the greater metabolic benefit (i.e., reduced waist circumference) was linked to a more robust microbial response and/or greater dysbiosis and therefore greater capacity for improvement. This is interesting to consider in light of recent findings from Kennedy et al. [76] who compared different prebiotics using in vitro batch culture fermentation with samples from 3 patients with ulcerative colitis and 3 healthy controls. They showed that the patients with ulcerative colitis demonstrated a greater capacity for change in microbial counts with the same substrates than the healthy controls [76]. ...

Comparison of Prebiotic Candidates in Ulcerative Colitis using an in vitro Fermentation Model

Journal of Applied Microbiology

... 42 The findings presented do suggest a potential role for microbiota modulation efforts as adjuvant therapies in UC clinical care, whether by means of dietary interventions or through the administration of live biotherapeutic products. [43][44][45] ...

A review on the use of prebiotics in ulcerative colitis
  • Citing Article
  • December 2023

Trends in Microbiology

... Most of the analyzed studies include adults with overweight or obesity [9,12,18,19,23,24,27,42]. Additionally, healthy adults represent a prevalent group [15,16,20,21,28,31,33,34,37,39,41,43]. Specific medical conditions such as type 2 diabetes mellitus and obesityrelated metabolic disorders also happen to appear, indicating a focus on investigating interventions in these populations [14,17,25]. ...

Chronic consumption of a blend of inulin and arabinoxylan reduces energy intake in an ad libitum meal but does not influence perceptions of appetite and satiety: a randomised control-controlled crossover trial

European Journal of Nutrition

... and promotion of potentially harmful Enterobacteriaceae spp. [53]. Iron deficiency causes a decrease in butyrate production and gene expression for butyryl-CoA:acetate-CoA transferase, the enzyme that catalyzes the final step in butyrate synthesis [54]. ...

Impact of inorganic iron and haem on the human gut microbiota; An in vitro batch-culture approach

... Outside of the CNS, GABA is highly concentrated in the pancreatic islet wherein it has autocrine and paracrine actions to regulate b-cell insulin secretion and inhibit a-cell glucagon release. Well-known communal microbiota also produce GABA (18,19). Rodent models have demonstrated reversal or prevention of diabetes with oral and intraperitoneal GABA treatments (20). ...

Gamma aminobutyric acid production by commercially available probiotic strains

Journal of Applied Microbiology

... These compounds can positively affect poultry health and productivity by providing a natural defense against bacterial attacks (Awuchi, 2019;Ivanova et al., 2024;Riaz et al., 2023). Herbs, seeds, spices, and plant extracts have been shown to stimulate appetite, improve digestion, and promote the growth of beneficial gut bacteria while reducing pathogenic bacteria (Dahl et al., 2023;Frankič et al., 2009). Supplementing poultry diets with plant materials rich in these active substances can enhance immune responses and serve as an effective alternative to antibiotic growth promoters (Ayalew et al., 2022;Seidavi et al., 2021). ...

Gut microbial modulation by culinary herbs and spices
  • Citing Article
  • December 2022

Food Chemistry

... HMO (Human Milk oligosaccharides) supplementation displays promising clinical benefits in balancing the intestinal microbiota and improving IBS symptoms by stimulating the growth of beneficial bifidobacteria [84]. A multicenter, open-labeled trial included patients suffering from IBS from 17 US sites. ...

The Potential Role of Human Milk Oligosaccharides in Irritable Bowel Syndrome

Microorganisms

... These powerful devices have been used to explore the ecology and biochemical features of multiple natural environments, e.g., soil, water bodies, or mucosal interfaces in humans and animals. 44 The successful culture of any microbial community requires the selection and tuning of the operational parameters of the bioreactor. The term "operational parameters" encompasses all the bioreactor features, including (i) the metabolic substrates supporting microbial growth and nutrition (culture media), (ii) the relationship between the flow of the medium into the bioreactor and the culture volume within the bioreactor (dilution rate), and (iii) the length of time that these compounds remain in the bioreactor (retention time). ...

Overview of the Nomenclature and Network of Contributors to the Development of Bioreactors for Human Gut Simulation Using Bibliometric Tools: A Fragmented Landscape

Journal of Agricultural and Food Chemistry