Next Article in Journal
Exploring 6-aza-2-Thiothymine as a MALDI-MSI Matrix for Spatial Lipidomics of Formalin-Fixed Paraffin-Embedded Clinical Samples
Previous Article in Journal
Gut Microbiota Composition in Rats Consuming Sucralose or Rebaudioside A at Recommended Doses Under Two Dietary Interventions
Previous Article in Special Issue
Investigating Immune Checkpoint Inhibitor-Induced Pancreatic Injury: When to Discontinue Cancer Therapy
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Galacto-Oligosaccharides Exert Bifidogenic Effects at Capsule-Compatible Ultra-Low Doses

by
Lucien F. Harthoorn
1,
Jasmine Heyse
2,
Aurélien Baudot
2,
Ingmar A. J. van Hengel
2 and
Pieter Van den Abbeele
2,*
1
Clasado Biosciences Ltd., Imperium Building, Imperial Way, Worton Grange, Reading RG2 0TD, UK
2
Cryptobiotix SA, Technologiepark-Zwijnaarde 82, 9052 Ghent, Belgium
*
Author to whom correspondence should be addressed.
Metabolites 2025, 15(8), 530; https://doi.org/10.3390/metabo15080530
Submission received: 26 June 2025 / Revised: 29 July 2025 / Accepted: 1 August 2025 / Published: 5 August 2025

Abstract

Background: Prebiotics are selectively used by host microorganisms to promote health. Because effective prebiotic doses (1.5–30 g/day) often require inconvenient delivery formats, this study aims to explore whether capsule-compatible doses of galacto-oligosaccharides (GOS) can effectively modulate the gut microbiome. Methods: The impact of Bimuno® GOS (Reading, UK) at 0.5, 0.75, 1.83, and 3.65 g on the adult gut microbiome was assessed using the ex vivo SIFR® technology (n = 8), a clinically validated, bioreactor-based technology. Results: The GOS were rapidly fermented and significantly increased beneficial Bifidobacterium species (B. adolescentis, B. bifidum, and B. longum), even at the lowest tested dose. In doing so, GOS strongly promoted SCFA production, particularly acetate (significant from 0.5 g) and butyrate (significant from 0.75 g). Gas production only mildly increased, likely as Bifidobacterium species do not produce gases. Based on the ability of the SIFR® technology to cultivate strictly anaerobic, hard-to-culture gut microbes, unlike in past in vitro studies, we elucidated that GOS also enriched specific Lachnospiraceae species. Besides Anaerobutyricum hallii, this included Bariatricus comes, Blautia species (B. massiliensis, Blautia_A, B. faecis), Oliverpabstia intestinalis, Mediterraneibacter faecis, and Fusicatenibacter species. Finally, GOS also promoted propionate (significant from 0.75 g), linked to increases in Phocaeicola vulgatus. Conclusions: GOS displayed prebiotic potential at capsule-compatible doses, offering greater flexibility in nutritional product formulation and consumer convenience. Notably, the strong response at the lowest dose suggests effective microbiome modulation at lower levels than previously expected.

Graphical Abstract

1. Introduction

The gastrointestinal tract hosts a complex microbiome, whose composition and metabolic activity shape host physiology. Through the fermentation of dietary components, the gut microbiome produces short-chain fatty acids (SCFAs) and other metabolites that influence the immune and nervous systems [1,2,3]. As dysbiosis (= disruption of the microbiome) has been linked to non-communicable diseases such as obesity, diabetes, allergies, inflammatory bowel disease, and neuropsychiatric conditions [4,5,6], maintaining microbial homeostasis is essential for overall health. One approach to modulate the microbiome is the use of prebiotics. Prebiotics are dietary substrates selectively utilized by host microorganisms to confer performance or health benefits [7,8]. They are minimally digested in the upper gastrointestinal tract [9,10] and fermented by colonic microbes, enhancing their growth and metabolic activity. Common prebiotics include fructans, galacto-, xylo-, and chito-oligosaccharides, as well as lactulose, resistant starch, and polyphenols [11]. Galacto-oligosaccharides (GOS) are widely used and are composed of galactose oligomers [12]. GOS are selectively fermented by gut bacteria, particularly members of the genus Bifidobacterium [13,14]. In addition to their bifidogenic effects, GOS can modulate the overall microbiota composition and activity [14,15,16], enhance gut comfort [15,17], modulate immune function [18,19], improve nutrient absorption (e.g., calcium [20] and iron [21]), reduce stress-related symptoms [22] and neuroinflammation [23], and support gut barrier integrity [24]. Effective prebiotic doses span a large range from 1.5 up to 30 g per day [8]. However, at high doses, prebiotics can induce temporary gastrointestinal discomfort (e.g., abdominal pain, bloating, and gas) in both healthy individuals and those with gastrointestinal disorders such as irritable bowel syndrome (IBS) or Crohn’s disease [25,26,27,28,29,30]. In addition to tolerability concerns, many doses pose practical limitations, as capsules or tablets can only hold smaller volumes, necessitating administration via sachets instead, for instance.
Bimuno® GOS (also referred to as B-GOS) is a well-characterized GOS mixture which has been shown to exert beneficial effects in several clinical trials at doses of 1.37–7 g/d [14,17,18,31,32]. While these studies have provided valuable evidence supporting the efficacy of Bimuno® GOS, these trials inherently involved dietary and lifestyle confounders that complicate mechanistic interpretation. Two studies with in vitro fermentation models have shown that Bimuno® GOS enriches Bifidobacteriaceae and certain genera of Bacteroidaceae [33,34]. However, these in vitro simulations particularly captured changes in Actinomycetota (e.g., Bifidobacteriaceae) and Bacteroidota (e.g., Bacteroidaceae), while they tended to under-represent many Bacillota (e.g., Lachnospiraceae and Ruminococcaceae), which may limit their ability to fully reflect community shifts that occur in vivo. Additionally, the response to prebiotic treatments can vary substantially between individuals. For example, Holmes et al. (2022) showed that individual identity, rather than prebiotic type, was the major determinant of SCFA response to prebiotic interventions [35]. Similarly, different studies described responders and non-responders to GOS treatments [13,36,37]. This stressed the importance of addressing interpersonal differences in preclinical research, an aspect that is often overlooked.
In this study, we therefore employed the ex vivo SIFR® technology to evaluate the impact of Bimuno® GOS at capsule-compatible doses (0.5, 0.75, 1.83, and 3.65 g) on the gut microbiota of eight adults. The SIFR® technology is validated to generate insights that correspond to clinical trial outcomes observed after repeated product intake over several weeks, including shifts in microbiome composition [38] and changes in gut barrier function and immunity [39]. This originates from the ability of the technology to reliably cultivate the full diversity of gut microbes [38]. Moreover, the high throughput enables the inclusion of a larger number of donors compared to conventional gut models, thereby allowing assessment of inter-individual variability in treatment responses. The key objectives of the study were to improve understanding of prebiotic effects of Bimuno® GOS and to quantify the minimal effective (capsule-compatible) dose.

2. Materials and Methods

2.1. Selection Criteria Test Subjects

To decipher the impact of different doses of GOS treatments on ex vivo cultivated microbiomes, fresh faecal samples were collected, adhering to the following selection criteria: age between 25 and 65 years, no antibiotic treatment in the past 3 months, non-smoking status, alcohol consumption of <3 units/day, no gastrointestinal disorders (cancer, ulcers, inflammatory bowel disease), and a body mass index of 20 to 25. The consistency of faecal samples was assessed via the Bristol stool scale [40], which confirmed that all samples were within the normal range (BSS = 3–4; average = 3.9). Four male and four female subjects were enrolled with an average age of 37.4 (±8.6) years: 1 (f, 48.2), 2 (m, 47.8), 3 (f, 30.3), 4 (m, 28.3), 5 (f, 26.7), 6 (f, 42.7), 7 (m, 40.9), and 8 (m, 34.2). Each participant signed an informed consent form to agree to the anonymous use of their sample for the present study, which was approved by the Ethical Committee of the University Hospital Ghent (reference number BC-09977).

2.2. Ex Vivo Intestinal Fermentation Assay (SIFR®): Study Configuration, Timeline, and Analysis

The SIFR® technology is a bioreactor-based, faecal fermentation technology designed to closely mimic the human intestinal environment while maintaining the original donor’s faecal microbiome. Unlike traditional in vitro systems that rapidly lose microbial complexity, the SIFR® technology preserves hard-to-culture species, thereby offering more physiologically relevant insights into microbiome responses to interventions. Ex vivo SIFR® experiments were executed in accordance with those carried out previously by Van den Abbeele et al. (2023) [38]. Briefly, bioreactors were filled with 5 mL of a blend of nutritional medium (M0017, Cryptobiotix, Ghent, Belgium), the faecal inoculum from an individual subject, and a specific GOS dose. Reactors were sealed and made anaerobic using a bioreactor management device (Cryptobiotix, Ghent, Belgium). The bioreactors were incubated under constant agitation (140 rpm) at 37 °C (MaxQ 6000, Thermo Scientific, Merelbeke, Belgium).
Five study arms were tested for each human adult (n = 8), consisting of an unsupplemented parallel control (no substrate control; NSC) and four doses of Bimuno® GOS powder (equivalent of a daily intake of 0.5, 0.75, 1.83, and 3.65 g), which was provided by Clasado Biosciences Ltd. (Reading, UK) (Figure 1A). Bimuno® GOS mainly consists of β-1,3-linkages and is a mixture of oligosaccharides with a degree of polymerization (DP) of 2 to 9 with DP3 as the major fraction (>40%). Comparing the outcomes of GOS-treated study arms with the NSC condition (within a given time point: 6 or 24 h) allowed for the establishment of treatment effects as the NSC is a condition in which the faecal microbiomes are grown under identical conditions (e.g., background medium and time), except for GOS supplementation. At 0 h (baseline), 6 h, and 24 h, gas pressure was measured in the headspace of the reactors and liquid samples were collected for the assessment of key fermentative parameters (pH, gas, SCFA, and branched-chain fatty acid (bCFA) production) and microbial composition (Figure 1B). The NSC study arm was run in triplicate for each individual subject to confirm the high technical reproducibility.

2.3. Key Fermentation Parameters

SCFAs (acetate, propionate, and butyrate) and bCFAs (sum of isobutyrate, isocaproate, and isovalerate) were quantified upon diethyl ether extraction using a gas chromatograph with flame ionization detection (Trace 1300 chromatograph; Thermo Fisher Scientific, Merelbeke, Belgium), as previously described [41]. Briefly, liquid samples were diluted in distilled water (1:3) and acidified (using sulfuric acid), after which sodium chloride, 2-methylhexanoic acid (internal standard), and diethyl ether were added. The pH was determined using an electrode (Hannah Instruments Edge HI2002, Temse, Belgium) and lactate was measured via an enzymatic method (EnzytecTM, R-Biopharm, Darmstadt, Germany).

2.4. Taxonomic Microbiota Analysis by Quantitative 16S rRNA Gene Profiling

Quantitative insights into microbial composition were obtained by combining two methods, i.e., relative abundances (%; 16S rRNA gene sequencing) were multiplied with total cell numbers (cells/mL; flow cytometry) to estimate the cells densities (cells/mL) in each individual sample for different taxonomic levels (phylum, family, genus, and OTU (operation taxonomic unit) level).
To determine relative abundances, DNA was first extracted via the SPINeasy DNA Kit for Soil (MP Biomedicals, Eschwege, Germany), after which library preparation and sequencing were performed on an Illumina MiSeq platform with v3 chemistry (2 × 300 bp). Amplicons (of around 425 bp) were generated via the primers 341F (50-CCT ACG GGN GGC WGC AG-30) and 785Rmod (50-GAC TAC HVG GGT ATC TAA KCC-30), which target the V3–V4 region of the 16S rRNA gene. Pre-processing and OTU picking was performed with Mothur v1.35.1 [42] (including removal of sequences containing ambiguous bases, with homopolymer stretches of more than 8 bases or with a Phred quality score below 33, alignment against the 16S Mothur-Silva SEED r138 reference alignment, with elimination of chimera with the uchime algorithm, OTU picking by clustering at the 97% identity level, removal of singleton sequences to reduce spurious OTU formation, and creation of OTU count tables (in the BIOM format); annotation of representative sequences was carried out with NCBI blast v2.10.0 [43]. To quantify total cell numbers, samples were diluted in anaerobic PBS, after which microbial cells were stained with SYTO 16 and counted via a Novocyte flow cytometer (Agilent, Santa Clara, CA, USA).

2.5. Data Analysis

All analyses were performed using R (version 4.4.0; www.r-project.org; accessed on 25 April 2025). First, a series of violin plots, bar charts, and heat maps were constructed (ggplot2 package 3.5.1). While violin plots and bar charts present the actual values, heat maps show log2-transformed fold changes for treatments compared to the reference (NSC). Hence, values of >0 reflect a stimulation on GOS treatment, while values of <0 indicate an inhibition by GOS treatment. Statistical analysis used a linear mixed-effects model, with treatment as a fixed effect and donor identity included as a random effects (lmerTest package v3.1-3). Adjustments for multiple comparisons were performed using the Benjamini–Hochberg correction (stats package 3.6.2). Treatment effects of specific GOS doses compared to the reference (NSC) were assessed via a post hoc pairwise comparison, again with Benjamini–Hochberg correction of p-values. Effects were considered to be significant at padjusted < 0.05. In the violin plots (key fermentative parameters) and stacked bar charts (community composition), statistical differences between specific doses of GOS powder and the NSC are indicated with * (0.01 < padjusted < 0.05), ** (0.001 < padjusted < 0.01), or *** (padjusted < 0.001). In the violin plots, the ranks of average values per study arm are indicated below the statistical indicator, with the lowest and highest values being highlighted in purple and yellow, respectively. Finally, pairwise correlation analysis using Spearman’s rank correlation coefficient was performed between SCFA production and absolute levels of different families.

3. Results

3.1. Differences in Microbiome Composition at Baseline

The eight test subjects exhibited distinct faecal microbiome profiles, which were preserved throughout the ex vivo incubations (Figure 2).
These interpersonal differences could be attributed to markers of the three enterotypes, previously introduced to describe variation in the human gut microbiota [44]. Most variation in the principal component analysis at the genus level (Figure 2A) was explained along PC1 (32.8%) and was differentiated between subjects with high Prevotella (left: subject 2 and especially the 1~Prevotella enterotype) and high Ruminococcus and/or Coprococcus levels (right: subjects 4/6/7). Further, PC2 explained 21.5% of the variation, mostly relating to elevated levels of Faecalibacterium in all subjects except donor 8, who had, in contrast, particularly elevated levels of Agathobacter. These last four genera belong to the Bacillota phylum (~Bacillota (formerly Firmicutes) enterotype). Subject 8 had particularly high levels of Phocaeicola and Bacteroides (~Bacteroides enterotype) (Figure 2B). Finally, Bifidobacterium levels were highest for subjects 5, 6, 8, and especially 7, further illustrating how the microbiomes employed in the present study captured interpersonal differences. This is essential to ensure that the findings of the study are representative at a human population level.
Another important aspect in obtaining representative findings is that the in vivo-derived microbiota are maintained during the full duration of the experiment. Despite strong increases in cell density (Figure S1D), both microbial diversity (Figure S1A–C) and composition (Figure S1E) were preserved throughout the 24 h incubation period. Maintenance of diversity was shown with indices for both species’ richness (Chao1 diversity index: Figure S1A) and evenness (reciprocal Simpson and Shannon diversity index: Figure S1B,C). These findings corroborated the biorelevance of the employed ex vivo incubation strategy and ensured that representative insights were obtained into how Bimuno GOS modulates the gut microbiome.

3.2. GOS Boosted SCFA Production at Only Mild Increases in Gas Production

Metabolite production in the ex vivo incubations was highly reproducible within subjects but showed notable interpersonal variation. First, the coefficient of variation between technical replicates (n = 3) of the NSC study arm at 24 h of incubation was as low as 1.3% for key fermentative parameters and confirmed the high technical reproducibility of the ex vivo incubations (within the test subject). In contrast, the coefficient of variation across the eight subjects was 8.8% reflecting interpersonal variation in metabolite production, in line with compositional differences at baseline.
GOS was rapidly fermented by all donor microbiomes, leading to a dose-dependent increase in total SCFA levels as early as 6 h after incubation, with significant effects observed from 0.5 g (Figure 3A). GOS also increased gas production (Figure 3B) yet reduced the ratio of gas production per mole of SCFA being produced (Figure 3C). This indicates that the increase in gas production upon GOS supplementation was disproportionally low compared to the SCFA stimulation.
GOS differentially modulated SCFA profiles, with evidence of lactate cross-feeding to other SCFAs over time. When focusing on individual SCFAs, GOS were shown to significantly stimulate acetate from the lowest dose onwards (both at 6 h and 24 h) (Figure 4A), which was linked to statistically significant pH decreases for all test doses (Figure S2A). In contrast, lactate only increased significantly for the highest GOS dose at 6 h and was not detected at 24 h (Figure 4B), suggesting cross-feeding between 6 and 24 h in pathways that result in production of the SCFA propionate and/or butyrate (Figure 4C and Figure 4D, respectively). The latter increased significantly from a dose of 0.75 g onwards, both at 6 h and 24 h (except for propionate at 6 h) (Figure 4D). Finally, GOS also significantly reduced bCFA production for all test doses at 24 h (Figure S2B).

3.3. GOS Specifically Modulated Microbial Composition, Amongst Other Changes, Due to Strong Bifidogenic Effects

GOS supplementation dose-dependently shifted the microbiome composition, enriching Actinomycetota and Bacillota_A. Along with Bacteroidota, they represent the main phyla for the eight different subjects (Figure 5A). GOS significantly promoted Actinomycetota and Bacillota_A in a dose-dependent manner, from the lowest dose onwards. The subsequent result description will focus on the most abundant family (and related OTUs) of the three main phyla, with a complete analysis at the family and OTU levels being provided as Supplementary Information (Figures S3 and S4, respectively).
First, GOS strongly and dose-dependently enriched Bifidobacteriaceae, particularly B. adolescentis, correlating with increased acetate and butyrate production. The Bifidobacteriaceae family was the most abundant family within the Actinomycetota phylum, covering, on average, 90.5% of its abundance at 24 h. GOS stimulated Bifidobacteriaceae significantly from the lowest dose onwards, which related to dose-dependent and statistically significant increases of OTUs related to all three detected Bifidobacterium species, i.e., B. bifidum, B. longum, and particularly B. adolescentis. Strong and statistically significant correlations between Bifidobacteriaceae and both acetate (Figure 5C) and butyrate (Figure 5D) suggest the involvement of Bifidobacteriaceae in the production of these SCFAs upon GOS treatment.
GOS dose-dependently enriched Lachnospiraceae, with multiple contributing species, correlating with enhanced acetate and butyrate production. Lachnospiraceae was the most abundant Bacillota_A family, accounting, on average, for 68.0% of its abundance at 24 h. GOS stimulated Lachnospiraceae significantly from the lowest test dose on, which related to dose-dependent and statistically significant increases of OTUs related to Anaerobutyricum hallii, Bariatricus comes, Blautia species (B. massiliensis, Blautia_A, B. faecis), Oliverpabstia intestinalis, Mediterraneibacter faeciss and Fusicatenibacter species (e.g., F. saccharivorans) (Figure 6A). Strong and statistically significant correlations between Lachnospiraceae and both acetate (Figure 6B) and butyrate (Figure 6C) suggest the involvement of Lachnospiraceae in the production of these SCFAs upon GOS treatment.
Finally, GOS selectively enriched Bacteroidaceae, particularly Phocaeicola vulgatus, which correlated with increased propionate production. Bacteroidaceae was the most abundant Bacteroidota family, covering, on average, 83.4% of its abundance at 24 h. GOS significantly stimulated an OTU related to Phocaeicola vulgatus, an abundant member of this family, from the lowest test dose onwards (Figure 7A). The abundance of this OTU correlated with propionate levels (Figure 7B), suggesting the involvement of P. vulgatus in propionate production upon GOS treatment.

4. Discussion

The current SIFR® study was conducted under optimal conditions, showing high technical reproducibility and preserving the microbial diversity and composition of healthy adult microbiomes throughout the experiment. This enabled representative insights into the potential clinical effectiveness of ultra-low, capsule-compatible doses of Bimuno® GOS. The GOS preparation was rapidly fermented with strong effects on key fermentative parameters within 6 h. Observations between 0–6 h are representative for findings of the ascending colon [45], suggesting that the GOS preparation exerts instant effects in the proximal colon.
We demonstrated that from a dose of 0.5 g onwards, the GOS preparation significantly promoted the abundance of three Bifidobacterium species (B. adolescentis, B. longum, and B. bifidum) as well as the production of acetate, the main end-metabolite of carbohydrate fermentation by bifidobacteria [46]. GOS have indeed demonstrated bifidogenic effects across diverse populations, including infants [47,48], healthy adults [13,14,37], the elderly [49], and in individuals with specific deficiencies or disorders [50,51]. Besides exerting benefits via the production of acetate [52], Bifidobacterium species exert health benefits via other metabolites including tryptophan metabolites like aromatic lactic acids [53]. Kumar et al. (2020) [54] reported that low Bifidobacteriaceae levels in adults are associated with allergies and other diseases, often resulting from early-life events (e.g., C-section) or factors such as diet, lifestyle, or antibiotic use. This renders Bifidobacteriaceae interesting targets when aiming to maintain or restore health via microbiome modulation strategies such as GOS supplementation.
Adding to the current knowledge, GOS not only stimulated Bifidobacteriaceae and acetate but also promoted a consortium of Lachnospiraceae species. Three species were already significantly promoted from a dose of 0.5 g onwards, i.e., Anaerobutyricum hallii (formerly known as Eubacterium hallii, a species known to convert Bifidobacterium-derived metabolites (lactate and acetate) into propionate [55] and especially butyrate [56]), Bariatricus comes (formerly known as Coprococcus comes, a known butyrate producer [52]), and Mediterraneibacter faecis (formerly known as Ruminococcus faecis [57]). Other Lachnospiraceae members that significantly increased from a dose of 1.83 g onwards included several Blautia species, the recently isolated Oliverpabstia intestinalis [58], and Fusicatenibacter saccharivorans [59]. The latter was previously identified as a discriminator between healthy patients and those with ulcerative colitis, potentially playing a pivotal role due to its IL-10-mediated anti-inflammatory effects [60]. Because Lachnospiraceae strongly correlated with butyrate levels during GOS treatment, these taxa likely contributed to butyrate production, an SCFA that fuels epithelial cells and helps protect against cancer and colitis [52]. Overall, GOS thus also positively affect the microbiome beyond just the bifidogenic effects, benefiting a variety of butyrate producers even at low doses.
Further, GOS also promoted propionate production by Phocaeicola vulgatus. Propionate exerts benefits by promoting satiety, lowering blood cholesterol, and improving insulin sensitivity [52]. However, P. vulgatus gained attention for its ability to promote the secretion of GLP-1 via its metabolite pantothenate, leading to a lower sugar preference, thus rendering P.-vulgatus-derived pantothenate as a target for diabetes [61]. This further adds to the evidence that GOS positively affect the microbiome beyond just bifidogenic effects.
The potent microbiome modulation by GOS at ultra-low doses, uncovered in the present study, aligns with effective doses reported in clinical studies. Indeed, while studied GOS doses range from 1.3–2.5 g/day [13,37,62] up to 10–15 g/day [15,20,37], studies with doses within the lower dose range have reported significant effects. For example, Lee et al. (2024) demonstrated improved bowel habits and increased levels of Bifidobacterium species following the daily intake of 2 g of GOS over 4 weeks [62]. This suggests that the minimally effective dose of GOS (i.e., the lowest intake yielding significant beneficial effects) may be lower than the minimally tested doses in these studies and could be in the range of 0.5 g, a dose that significantly modulated the microbiome ex vivo in the present study.
A side finding of the study was that the strong increase in SCFA production with GOS was only accompanied by low gas production, suggesting a high tolerability of GOS for human consumption. The ratio of gas production per mole of SCFAs being produced decreased significantly from a dose of 0.75 g onwards. This matches findings from a clinical study where 2.75 g/day of Bimuno® GOS reduced bloating, flatulence, and abdominal pain in adults within one week [17]. Mechanistically, this could relate to the potent bifidogenic effects of GOS. As reviewed by Rivière et al. (2016) [52], Bifidobacterium species employ the fructose-6-phosphate phosphoketolase pathway (or bifid shunt) that does not result in gas production, causing acid production from carbohydrates in the absence of gas formation [63]. In contrast, butyrate producers do produce gases (H2 and/or CO2) [52], explaining the mild increase in gas production for GOS. Yet, the gas production was likely attenuated by the bifidogenic effect given the findings of Moens et al. (2017), who demonstrated that the production of acetate by a Bifidobacterium species (B. longum LMG 11047) lowers gas (H2) production during butyrate formation by, for instance, Anaerobutyricum hallii [56]. This low gas production with GOS also aligns with benefits that have been observed upon GOS intake in the context of managing lactose intolerance [64]. Mechanistically, the β-galactosidase activity employed by Bifidobacterium species to ferment GOS can also be used to ferment lactose. Hence, bifidogenic effects by GOS could explain why the microbiome is able to ferment lactose with lower side effects.
Many of the findings of the present study were enabled using the recently developed ex vivo SIFR® technology. Indeed, this study revealed broader microbiome effects of Bimuno® GOS than previous in vitro studies, which only detected acetate and Bifidobacteriaceae changes, despite using higher doses (3.5–5.5 g). As has been discussed previously [38], the SIFR® technology is highly reproducible and closely maintains the original in vivo microbiota, thus also preserving strict anaerobes like hard-to-culture butyrate producers. This contrasts with in vitro gut models where a large amount of diversity gets lost during incubation, both in short-term [33] and long-term gut models [65]. The unique features of the SIFR® technology explain how, within days of the experiment, findings are obtained that are predictive for those of clinical studies where the same substrate is consumed repeatedly over weeks.
Finally, it should be noted that ex vivo microbiome studies also have limitations, such as the absence of host factors, which means that clinical trials remain important to prove the clinical efficacy of low doses of GOS.

5. Conclusions

Overall, the present study highlights the promising clinical potential of ultra-low, capsule-compatible doses of Bimuno® GOS. Incorporating GOS into capsules or tablets not only enhances convenience and flexibility in dietary supplement design but also offers practical advantages for consumers. Notably, larger doses could be more feasibly administered throughout the day via capsules or tablets rather than as single daily sachets. For instance, 5.5 g (48% GOS) has been proven to be effective for the management of traveller’s diarrhoea [32], yet it could be more conveniently taken as capsules or tablets throughout the day instead of as a single daily sachet in order to create more convenience while traveling. On the other hand, spreading GOS ingestion throughout the day could also cause a more sustained treatment effect by more regularly feeding the microbiome rather than in pulses once a day. Fractionated dosing may be especially beneficial for sensitive populations, such as individuals with IBS, who often have a low tolerance for fermentable prebiotics. Administering smaller doses multiple times a day could allow patients with IBS to increase their total GOS intake beyond the standard daily dose without triggering adverse effects. Collectively, these findings open avenues for the development and evaluation of alternative dosing strategies that optimize the clinical effectiveness of prebiotics.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/metabo15080530/s1, Figure S1: The diversity and composition of the gut microbiome was maintained along the full duration of the ex vivo SIFR® experiment; Figure S2: GOS significantly reduced pH and inhibited bCFA production in a dose-related manner; Figure S3: GOS mainly stimulated Bifidobacteriaceae, Lachnospiraceae, and Bacteroidaceae, from the lowest test dose onwards; Figure S4: GOS mainly stimulated OTUs belonging to the Bifidobacteriaceae, Lachnospiraceae, and Bacteroidaceae families, from the lowest test dose onwards.

Author Contributions

Conceptualization, L.F.H.; methodology, L.F.H., P.V.d.A., I.A.J.v.H., A.B.; formal analysis, J.H.; investigation, J.H., P.V.d.A.; writing—original draft preparation, P.V.d.A.; writing—review and editing, L.F.H., J.H., A.B., I.A.J.v.H.; supervision, L.F.H., P.V.d.A.; project administration, A.B., I.A.J.v.H.; funding acquisition, L.F.H.; All authors have read and agreed to the published version of the manuscript.

Funding

This research was performed at the request of and funded by Clasado Biosciences Ltd. (Reading, UK).

Institutional Review Board Statement

This study was conducted in accordance with the Declaration of Helsinki and approved by the Ethical Committee of the University Hospital Ghent (reference number BC-09977; date of approval 13 April 2021).

Informed Consent Statement

The procedure approved by the Ethical Committee of the University Hospital Ghent required participants to sign an informed consent form and they donated their faecal sample for the study.

Data Availability Statement

The datasets generated during and/or analysed during the current study are available from the corresponding author upon reasonable request.

Conflicts of Interest

L.F.H. is an employee of Clasado Biosciences Ltd. (Reading, UK), the funder of the study. While L.F.H. participated in the design of the study, the interpretation of the data, and the revision of the manuscript, he was not involved in data collection and analysis. The authors acknowledge that this employment relationship may present a potential source of bias. To mitigate this, experimental procedures, data generation, and statistical analyses were conducted independently by researchers not affiliated with Clasado Biosciences Ltd., ensuring the objectivity and integrity of the findings. The paper reflects the views of the scientists, and not the company.

Abbreviations

The following abbreviations are used in this manuscript:
bCFABranched-chain fatty acid
BSSBristol stool score
GOSGalacto-oligosaccharide
IBSIrritable bowel syndrome
NSCNo substrate control
SCFAShort-chain fatty acid
SIFR®Systemic intestinal fermentation research

References

  1. Silva, Y.P.; Bernardi, A.; Frozza, R.L. The Role of Short-Chain Fatty Acids From Gut Microbiota in Gut-Brain Communication. Front. Endocrinol. 2020, 11, 25. [Google Scholar] [CrossRef]
  2. O’Riordan, K.J.; Collins, M.K.; Moloney, G.M.; Knox, E.G.; Aburto, M.R.; Fülling, C.; Morley, S.J.; Clarke, G.; Schellekens, H.; Cryan, J.F. Short Chain Fatty Acids: Microbial Metabolites for Gut-Brain Axis Signalling. Mol. Cell. Endocrinol. 2022, 546, 111572. [Google Scholar] [CrossRef]
  3. Belkaid, Y.; Hand, T.W. Role of the Microbiota in Immunity and Inflammation. Cell 2014, 157, 121–141. [Google Scholar] [CrossRef]
  4. Afzaal, M.; Saeed, F.; Shah, Y.A.; Hussain, M.; Rabail, R.; Socol, C.T.; Hassoun, A.; Pateiro, M.; Lorenzo, J.M.; Rusu, A.V.; et al. Human Gut Microbiota in Health and Disease: Unveiling the Relationship. Front. Microbiol. 2022, 13, 999001. [Google Scholar] [CrossRef] [PubMed]
  5. Hou, K.; Wu, Z.-X.; Chen, X.-Y.; Wang, J.-Q.; Zhang, D.; Xiao, C.; Zhu, D.; Koya, J.B.; Wei, L.; Li, J.; et al. Microbiota in Health and Diseases. Signal Transduct. Target. Ther. 2022, 7, 135. [Google Scholar] [CrossRef] [PubMed]
  6. Valdes, A.M.; Walter, J.; Segal, E.; Spector, T.D. Role of the Gut Microbiota in Nutrition and Health. BMJ 2018, 361, k2179. [Google Scholar] [CrossRef]
  7. Gibson, G.R.; Hutkins, R.; Sanders, M.E.; Prescott, S.L.; Reimer, R.A.; Salminen, S.J.; Scott, K.; Stanton, C.; Swanson, K.S.; Cani, P.D.; et al. Expert Consensus Document: The International Scientific Association for Probiotics and Prebiotics (ISAPP) Consensus Statement on the Definition and Scope of Prebiotics. Nat. Rev. Gastroenterol. Hepatol. 2017, 14, 491–502. [Google Scholar] [CrossRef]
  8. Deehan, E.C.; Al Antwan, S.; Witwer, R.S.; Guerra, P.; John, T.; Monheit, L. Revisiting the Concepts of Prebiotic and Prebiotic Effect in Light of Scientific and Regulatory Progress—A Consensus Paper From the Global Prebiotic Association. Adv. Nutr. 2024, 15, 100329. [Google Scholar] [CrossRef]
  9. Sun, M.; Huang, H.; Tang, H.; Chen, J.; Chen, W.; Yang, D. Effects of Simulated Digestion and Prebiotics Properties of Polysaccharides Extracted from Imperatae Rhizoma Based on Different Pilot Processes. Front. Microbiol. 2025, 16, 1544261. [Google Scholar] [CrossRef]
  10. Fara, A.; Hernández Hernández, O.; Palacios, J.; Montilla, A.; Zárate, G. In Vitro and in Vivo Digestibility of Prebiotic Galactooligosacharides Synthesized by β-galactosidase from Lactobacillus delbruecki Subsp. Bulgaricus CRL450. J. Sci. Food Agric. 2024, 104, 6769–6777. [Google Scholar] [CrossRef]
  11. Yoo, S.; Jung, S.-C.; Kwak, K.; Kim, J.-S. The Role of Prebiotics in Modulating Gut Microbiota: Implications for Human Health. Int. J. Mol. Sci. 2024, 25, 4834. [Google Scholar] [CrossRef]
  12. Mei, Z.; Yuan, J.; Li, D. Biological Activity of Galacto-Oligosaccharides: A Review. Front. Microbiol. 2022, 13, 993052. [Google Scholar] [CrossRef]
  13. Looijesteijn, E.; Schoemaker, M.H.; Van Den Belt, M.; Hester, E.R.; Kortman, G.A.M.; Viskaal-van Dongen, M.; Nauta, A. A Double-Blind Intervention Trial in Healthy Women Demonstrates the Beneficial Impact on Bifidobacterium with Low Dosages of Prebiotic Galacto-Oligosaccharides. Front. Nutr. 2024, 11, 1440319. [Google Scholar] [CrossRef]
  14. Depeint, F.; Tzortzis, G.; Vulevic, J.; I’Anson, K.; Gibson, G.R. Prebiotic Evaluation of a Novel Galactooligosaccharide Mixture Produced by the Enzymatic Activity of Bifidobacterium Bifidum NCIMB 41171, in Healthy Humans: A Randomized, Double-Blind, Crossover, Placebo-Controlled Intervention Study. Am. J. Clin. Nutr. 2008, 87, 785–791. [Google Scholar] [CrossRef] [PubMed]
  15. Schoemaker, M.H.; Hageman, J.H.J.; Ten Haaf, D.; Hartog, A.; Scholtens, P.A.M.J.; Boekhorst, J.; Nauta, A.; Bos, R. Prebiotic Galacto-Oligosaccharides Impact Stool Frequency and Fecal Microbiota in Self-Reported Constipated Adults: A Randomized Clinical Trial. Nutrients 2022, 14, 309. [Google Scholar] [CrossRef] [PubMed]
  16. Johnstone, N.; Dart, S.; Knytl, P.; Nauta, A.; Hart, K.; Cohen Kadosh, K. Nutrient Intake and Gut Microbial Genera Changes after a 4-Week Placebo Controlled Galacto-Oligosaccharides Intervention in Young Females. Nutrients 2021, 13, 4384. [Google Scholar] [CrossRef] [PubMed]
  17. Vulevic, J.; Tzortzis, G.; Juric, A.; Gibson, G.R. Effect of a Prebiotic Galactooligosaccharide Mixture (B-GOS®) on Gastrointestinal Symptoms in Adults Selected from a General Population Who Suffer with Bloating, Abdominal Pain, or Flatulence. Neurogastroenterol. Motil. 2018, 30, e13440. [Google Scholar] [CrossRef]
  18. Vulevic, J.; Juric, A.; Walton, G.E.; Claus, S.P.; Tzortzis, G.; Toward, R.E.; Gibson, G.R. Influence of Galacto-Oligosaccharide Mixture (B-GOS) on Gut Microbiota, Immune Parameters and Metabonomics in Elderly Persons. Br. J. Nutr. 2015, 114, 586–595. [Google Scholar] [CrossRef]
  19. Vulevic, J.; Drakoularakou, A.; Yaqoob, P.; Tzortzis, G.; Gibson, G.R. Modulation of the Fecal Microflora Profile and Immune Function by a Novel Trans-Galactooligosaccharide Mixture (B-GOS) in Healthy Elderly Volunteers. Am. J. Clin. Nutr. 2008, 88, 1438–1446. [Google Scholar] [CrossRef]
  20. Whisner, C.M.; Martin, B.R.; Schoterman, M.H.C.; Nakatsu, C.H.; McCabe, L.D.; McCabe, G.P.; Wastney, M.E.; Van Den Heuvel, E.G.H.M.; Weaver, C.M. Galacto-Oligosaccharides Increase Calcium Absorption and Gut Bifidobacteria in Young Girls: A Double-Blind Cross-over Trial. Br. J. Nutr. 2013, 110, 1292–1303. [Google Scholar] [CrossRef]
  21. Paganini, D.; Uyoga, M.A.; Cercamondi, C.I.; Moretti, D.; Mwasi, E.; Schwab, C.; Bechtler, S.; Mutuku, F.M.; Galetti, V.; Lacroix, C.; et al. Consumption of Galacto-Oligosaccharides Increases Iron Absorption from a Micronutrient Powder Containing Ferrous Fumarate and Sodium Iron EDTA: A Stable-Isotope Study in Kenyan Infants. Am. J. Clin. Nutr. 2017, 106, 1020–1031. [Google Scholar] [CrossRef] [PubMed]
  22. Burokas, A.; Arboleya, S.; Moloney, R.D.; Peterson, V.L.; Murphy, K.; Clarke, G.; Stanton, C.; Dinan, T.G.; Cryan, J.F. Targeting the Microbiota-Gut-Brain Axis: Prebiotics Have Anxiolytic and Antidepressant-like Effects and Reverse the Impact of Chronic Stress in Mice. Biol. Psychiatry 2017, 82, 472–487. [Google Scholar] [CrossRef] [PubMed]
  23. Yang, X.-D.; Wang, L.-K.; Wu, H.-Y.; Jiao, L. Effects of Prebiotic Galacto-Oligosaccharide on Postoperative Cognitive Dysfunction and Neuroinflammation through Targeting of the Gut-Brain Axis. BMC Anesthesiol. 2018, 18, 177. [Google Scholar] [CrossRef] [PubMed]
  24. Akbari, P.; Braber, S.; Alizadeh, A.; Verheijden, K.A.; Schoterman, M.H.; Kraneveld, A.D.; Garssen, J.; Fink-Gremmels, J. Galacto-Oligosaccharides Protect the Intestinal Barrier by Maintaining the Tight Junction Network and Modulating the Inflammatory Responses after a Challenge with the Mycotoxin Deoxynivalenol in Human Caco-2 Cell Monolayers and B6C3F1 Mice. J. Nutr. 2015, 145, 1604–1613. [Google Scholar] [CrossRef]
  25. Timm, D.A.; Thomas, W.; Boileau, T.W.; Williamson-Hughes, P.S.; Slavin, J.L. Polydextrose and Soluble Corn Fiber Increase Five-Day Fecal Wet Weight in Healthy Men and Women. J. Nutr. 2013, 143, 473–478. [Google Scholar] [CrossRef]
  26. Cloetens, L.; Broekaert, W.F.; Delaedt, Y.; Ollevier, F.; Courtin, C.M.; Delcour, J.A.; Rutgeerts, P.; Verbeke, K. Tolerance of Arabinoxylan-Oligosaccharides and Their Prebiotic Activity in Healthy Subjects: A Randomised, Placebo-Controlled Cross-over Study. Br. J. Nutr. 2010, 103, 703–713. [Google Scholar] [CrossRef]
  27. Vester Boler, B.M.; Rossoni Serao, M.C.; Bauer, L.L.; Staeger, M.A.; Boileau, T.W.; Swanson, K.S.; Fahey, G.C. Digestive Physiological Outcomes Related to Polydextrose and Soluble Maize Fibre Consumption by Healthy Adult Men. Br. J. Nutr. 2011, 106, 1864–1871. [Google Scholar] [CrossRef]
  28. Chumpitazi, B.P.; McMeans, A.R.; Vaughan, A.; Ali, A.; Orlando, S.; Elsaadi, A.; Shulman, R.J. Fructans Exacerbate Symptoms in a Subset of Children With Irritable Bowel Syndrome. Clin. Gastroenterol. Hepatol. 2018, 16, 219–225.e1. [Google Scholar] [CrossRef]
  29. Bouhnik, Y.; Raskine, L.; Simoneau, G.; Paineau, D.; Bornet, F. The Capacity of Short-Chain Fructo-Oligosaccharides to Stimulate Faecal Bifidobacteria: A Dose-Response Relationship Study in Healthy Humans. Nutr. J. 2006, 5, 8. [Google Scholar] [CrossRef]
  30. Benjamin, J.L.; Hedin, C.R.H.; Koutsoumpas, A.; Ng, S.C.; McCarthy, N.E.; Hart, A.L.; Kamm, M.A.; Sanderson, J.D.; Knight, S.C.; Forbes, A.; et al. Randomised, Double-Blind, Placebo-Controlled Trial of Fructo-Oligosaccharides in Active Crohn’s Disease. Gut 2011, 60, 923–929. [Google Scholar] [CrossRef]
  31. Wilson, B.; Rossi, M.; Kanno, T.; Parkes, G.C.; Anderson, S.; Mason, A.J.; Irving, P.M.; Lomer, M.C.; Whelan, K. β-Galactooligosaccharide in Conjunction With Low FODMAP Diet Improves Irritable Bowel Syndrome Symptoms but Reduces Fecal Bifidobacteria. Am. J. Gastroenterol. 2020, 115, 906–915. [Google Scholar] [CrossRef]
  32. Drakoularakou, A.; Tzortzis, G.; Rastall, R.A.; Gibson, G.R. A Double-Blind, Placebo-Controlled, Randomized Human Study Assessing the Capacity of a Novel Galacto-Oligosaccharide Mixture in Reducing Travellers’ Diarrhoea. Eur. J. Clin. Nutr. 2010, 64, 146–152. [Google Scholar] [CrossRef]
  33. Marzorati, M.; Ghyselinck, J.; Van Den Abbeele, P.; Maruszak, A.; Harthoorn, L. Galactooligosaccharide (GOS) Reduces Branched Short-Chain Fatty Acids, Ammonium, and pH in a Short-Term Colonic Fermentation Model. Appl. Microbiol. 2023, 3, 90–103. [Google Scholar] [CrossRef]
  34. Ghyselinck, J.; Teixeira, C.; Marzorati, M.; Önning, G.; Harthoorn, L. A Novel Synbiotic Blend of Galactooligosaccharide (GOS) and a Two-Strain Probiotic Acts Synergistically to Increase Lactate and Short-Chain Fatty Acid Production in a Short-Term Ex Vivo Colon Fermentation Model. Int. J. Nutr. Sci. 2024, 9, id1082. [Google Scholar]
  35. Holmes, Z.C.; Villa, M.M.; Durand, H.K.; Jiang, S.; Dallow, E.P.; Petrone, B.L.; Silverman, J.D.; Lin, P.-H.; David, L.A. Microbiota Responses to Different Prebiotics Are Conserved within Individuals and Associated with Habitual Fiber Intake. Microbiome 2022, 10, 114. [Google Scholar] [CrossRef] [PubMed]
  36. Wilson, B.; Kanno, T.; Slater, R.; Rossi, M.; Irving, P.M.; Lomer, M.C.; Probert, C.; Mason, A.J.; Whelan, K. Faecal and Urine Metabolites, but Not Gut Microbiota, May Predict Response to Low FODMAP Diet in Irritable Bowel Syndrome. Aliment. Pharmacol. Ther. 2023, 58, 404–416. [Google Scholar] [CrossRef] [PubMed]
  37. Davis, L.M.G.; Martínez, I.; Walter, J.; Hutkins, R. A Dose Dependent Impact of Prebiotic Galactooligosaccharides on the Intestinal Microbiota of Healthy Adults. Int. J. Food Microbiol. 2010, 144, 285–292. [Google Scholar] [CrossRef]
  38. Van den Abbeele, P.; Deyaert, S.; Thabuis, C.; Perreau, C.; Bajic, D.; Wintergerst, E.; Joossens, M.; Firrman, J.; Walsh, D.; Baudot, A. Bridging Preclinical and Clinical Gut Microbiota Research Using the Ex Vivo SIFR® Technology. Front. Microbiol. 2023, 14, 1131662. [Google Scholar] [CrossRef]
  39. Van den Abbeele, P.; Kunkler, C.N.; Poppe, J.; Rose, A.; van Hengel, I.A.J.; Baudot, A.; Warner, C.D. Serum-Derived Bovine Immunoglobulin Promotes Barrier Integrity and Lowers Inflammation for 24 Human Adults Ex Vivo. Nutrients 2024, 16, 1585. [Google Scholar] [CrossRef]
  40. Lewis, S.J.; Heaton, K.W. Stool Form Scale as a Useful Guide to Intestinal Transit Time. Scand. J. Gastroenterol. 1997, 32, 920–924. [Google Scholar] [CrossRef]
  41. Van den Abbeele, P.; Deyaert, S.; Albers, R.; Baudot, A.; Mercenier, A. Carrot RG-I Reduces Interindividual Differences between 24 Adults through Consistent Effects on Gut Microbiota Composition and Function Ex Vivo. Nutrients 2023, 15, 2090. [Google Scholar] [CrossRef] [PubMed]
  42. Schloss, P.D.; Westcott, S.L.; Ryabin, T.; Hall, J.R.; Hartmann, M.; Hollister, E.B.; Lesniewski, R.A.; Oakley, B.B.; Parks, D.H.; Robinson, C.J.; et al. Introducing Mothur: Open-Source, Platform-Independent, Community-Supported Software for Describing and Comparing Microbial Communities. Appl. Environ. Microbiol. 2009, 75, 7537–7541. [Google Scholar] [CrossRef] [PubMed]
  43. Altschul, S.F.; Gish, W.; Miller, W.; Myers, E.W.; Lipman, D.J. Basic Local Alignment Search Tool. J. Mol. Biol. 1990, 215, 403–410. [Google Scholar] [CrossRef]
  44. Costea, P.I.; Hildebrand, F.; Arumugam, M.; Bäckhed, F.; Blaser, M.J.; Bushman, F.D.; de Vos, W.M.; Ehrlich, S.D.; Fraser, C.M.; Hattori, M.; et al. Enterotypes in the Landscape of Gut Microbial Community Composition. Nat. Microbiol. 2018, 3, 8–16. [Google Scholar] [CrossRef] [PubMed]
  45. Bajic, D.; Wiens, F.; Wintergerst, E.; Deyaert, S.; Baudot, A.; Van den Abbeele, P. HMOs Exert Marked Bifidogenic Effects on Children’s Gut Microbiota Ex Vivo, Due to Age-Related Bifidobacterium Species Composition. Nutrients 2023, 15, 1701. [Google Scholar] [CrossRef]
  46. Van der Meulen, R.; Adriany, T.; Verbrugghe, K.; De Vuyst, L. Kinetic Analysis of Bifidobacterial Metabolism Reveals a Minor Role for Succinic Acid in the Regeneration of NAD+ through Its Growth-Associated Production. Appl. Environ. Microbiol. 2006, 72, 5204–5210. [Google Scholar] [CrossRef]
  47. Tonon, K.M.; Tomé, T.M.; Mosquera, E.M.B.; Perina, N.P.; Lazarini, T. The Effect of Infant Formulas with 4 or 8 g/L GOS/FOS on Growth, Gastrointestinal Symptoms, and Behavioral Patterns: A Prospective Cohort Study. Glob. Pediatr. Health 2021, 8, 2333794X211044115. [Google Scholar] [CrossRef]
  48. Sierra, C.; Bernal, M.-J.; Blasco, J.; Martínez, R.; Dalmau, J.; Ortuño, I.; Espín, B.; Vasallo, M.-I.; Gil, D.; Vidal, M.-L.; et al. Prebiotic Effect during the First Year of Life in Healthy Infants Fed Formula Containing GOS as the Only Prebiotic: A Multicentre, Randomised, Double-Blind and Placebo-Controlled Trial. Eur. J. Nutr. 2015, 54, 89–99. [Google Scholar] [CrossRef]
  49. Konstanti, P.; Van Splunter, M.; Van Den Brink, E.; Belzer, C.; Nauta, A.; Van Neerven, R.; Smidt, H. The Effect of Nutritional Intervention with Lactoferrin, Galactooligosacharides and Vitamin D on the Gut Microbiota Composition of Healthy Elderly Women. Nutrients 2022, 14, 2468. [Google Scholar] [CrossRef]
  50. Jeroense, F.M.D.; Michel, L.; Zeder, C.; Herter-Aeberli, I.; Zimmermann, M.B. Consumption of Galacto-Oligosaccharides Increases Iron Absorption from Ferrous Fumarate: A Stable Iron Isotope Study in Iron-Depleted Young Women. J. Nutr. 2019, 149, 738–746. [Google Scholar] [CrossRef]
  51. Ladirat, S.E.; Schoterman, M.H.C.; Rahaoui, H.; Mars, M.; Schuren, F.H.J.; Gruppen, H.; Nauta, A.; Schols, H.A. Exploring the Effects of Galacto-Oligosaccharides on the Gut Microbiota of Healthy Adults Receiving Amoxicillin Treatment. Br. J. Nutr. 2014, 112, 536–546. [Google Scholar] [CrossRef]
  52. Rivière, A.; Selak, M.; Lantin, D.; Leroy, F.; De Vuyst, L. Bifidobacteria and Butyrate-Producing Colon Bacteria: Importance and Strategies for Their Stimulation in the Human Gut. Front. Microbiol. 2016, 7, 979. [Google Scholar] [CrossRef]
  53. Laursen, M.F.; Sakanaka, M.; von Burg, N.; Mörbe, U.; Andersen, D.; Moll, J.M.; Pekmez, C.T.; Rivollier, A.; Michaelsen, K.F.; Mølgaard, C.; et al. Bifidobacterium Species Associated with Breastfeeding Produce Aromatic Lactic Acids in the Infant Gut. Nat. Microbiol. 2021, 6, 1367–1382. [Google Scholar] [CrossRef]
  54. Kumar, H.; Collado, M.C.; Wopereis, H.; Salminen, S.; Knol, J.; Roeselers, G. The Bifidogenic Effect Revisited—Ecology and Health Perspectives of Bifidobacterial Colonization in Early Life. Microorganisms 2020, 8, 1855. [Google Scholar] [CrossRef]
  55. Engels, C.; Ruscheweyh, H.-J.; Beerenwinkel, N.; Lacroix, C.; Schwab, C. The Common Gut Microbe Eubacterium Hallii Also Contributes to Intestinal Propionate Formation. Front. Microbiol. 2016, 7, 713. [Google Scholar] [CrossRef] [PubMed]
  56. Moens, F.; Verce, M.; De Vuyst, L. Lactate- and Acetate-Based Cross-Feeding Interactions between Selected Strains of Lactobacilli, Bifidobacteria and Colon Bacteria in the Presence of Inulin-Type Fructans. Int. J. Food Microbiol. 2017, 241, 225–236. [Google Scholar] [CrossRef] [PubMed]
  57. Kim, M.-S.; Roh, S.W.; Bae, J.-W. Ruminococcus faecis sp. Nov., Isolated from Human Faeces. J. Microbiol. 2011, 49, 487–491. [Google Scholar] [CrossRef] [PubMed]
  58. Wylensek, D.; Hitch, T.C.A.; Riedel, T.; Afrizal, A.; Kumar, N.; Wortmann, E.; Liu, T.; Devendran, S.; Lesker, T.R.; Hernández, S.B.; et al. A Collection of Bacterial Isolates from the Pig Intestine Reveals Functional and Taxonomic Diversity. Nat. Commun. 2020, 11, 6389. [Google Scholar] [CrossRef]
  59. Takada, T.; Kurakawa, T.; Tsuji, H.; Nomoto, K. Fusicatenibacter saccharivorans Gen. Nov., sp. Nov., Isolated from Human Faeces. Int. J. Syst. Evol. Microbiol. 2013, 63, 3691–3696. [Google Scholar] [CrossRef]
  60. Takeshita, K.; Mizuno, S.; Mikami, Y.; Sujino, T.; Saigusa, K.; Matsuoka, K.; Naganuma, M.; Sato, T.; Takada, T.; Tsuji, H.; et al. A Single Species of Clostridium Subcluster XIVa Decreased in Ulcerative Colitis Patients. Inflamm. Bowel Dis. 2016, 22, 2802–2810. [Google Scholar] [CrossRef]
  61. Zhang, T.; Wang, W.; Li, J.; Ye, X.; Wang, Z.; Cui, S.; Shen, S.; Liang, X.; Chen, Y.Q.; Zhu, S. Free Fatty Acid Receptor 4 Modulates Dietary Sugar Preference via the Gut Microbiota. Nat. Microbiol. 2025, 10, 348–361. [Google Scholar] [CrossRef]
  62. Lee, J.-H.; Kim, G.-B.; Han, K.; Jung, E.-J.; Suh, H.J.; Jo, K. Efficacy and Safety of Galacto-Oligosaccharide in the Treatment of Functional Constipation: Randomized Clinical Trial. Food Funct. 2024, 15, 6374–6382. [Google Scholar] [CrossRef]
  63. Goodfellow, M.; Kämpfer, P.; Busse, H.-J.; Trujillo, M.E.; Suzuki, K.; Whitman, W.B. Bergey’s Manual of Systematic Bacteriology; Springer: New York, NY, USA, 2012; Volume 5, ISBN 978-0-387-95043-3. [Google Scholar]
  64. Mysore Saiprasad, S.; Moreno, O.G.; Savaiano, D.A. A Narrative Review of Human Clinical Trials to Improve Lactose Digestion and Tolerance by Feeding Bifidobacteria or Galacto-Oligosacharides. Nutrients 2023, 15, 3559. [Google Scholar] [CrossRef]
  65. Van den Abbeele, P.; Grootaert, C.; Marzorati, M.; Possemiers, S.; Verstraete, W.; Gérard, P.; Rabot, S.; Bruneau, A.; El Aidy, S.; Derrien, M.; et al. Microbial Community Development in a Dynamic Gut Model Is Reproducible, Colon Region Specific, and Selective for Bacteroidetes and Clostridium Cluster IX. Appl. Environ. Microbiol. 2010, 76, 5237–5246. [Google Scholar] [CrossRef]
Figure 1. The impact of four doses of the GOS preparation was assessed on the human adult gut microbiota using the ex vivo SIFR® technology (n = 8). (A) Experimental configuration; (B) timeline and analysis.
Figure 1. The impact of four doses of the GOS preparation was assessed on the human adult gut microbiota using the ex vivo SIFR® technology (n = 8). (A) Experimental configuration; (B) timeline and analysis.
Metabolites 15 00530 g001
Figure 2. Thefaecal microbiota of the eight human adults displayed interpersonal differences. (A) Principal component analysis based on centred abundances at genus level (%) with indication of the individual faecal microbiota of the 8 human adults (unique symbols) along with loading vectors for the 10 genera that explained most variation; (B) abundances (%) of the most abundant genera.
Figure 2. Thefaecal microbiota of the eight human adults displayed interpersonal differences. (A) Principal component analysis based on centred abundances at genus level (%) with indication of the individual faecal microbiota of the 8 human adults (unique symbols) along with loading vectors for the 10 genera that explained most variation; (B) abundances (%) of the most abundant genera.
Metabolites 15 00530 g002
Figure 3. GOSboosted SCFA production in a dose-related manner, which was accompanied by only mild increases in gas production. The impact on (A) total SCFA (mM), (B) gas production (mbar), and (C) the ratio of gas being produced per mole of SCFA.
Figure 3. GOSboosted SCFA production in a dose-related manner, which was accompanied by only mild increases in gas production. The impact on (A) total SCFA (mM), (B) gas production (mbar), and (C) the ratio of gas being produced per mole of SCFA.
Metabolites 15 00530 g003
Figure 4. GOSboosted production of the three main SCFAs and lactate in a dose-related manner. The impact on (A) acetate (mM), (B) lactate (mM), (C) propionate (mM), and (D) butyrate (mM).
Figure 4. GOSboosted production of the three main SCFAs and lactate in a dose-related manner. The impact on (A) acetate (mM), (B) lactate (mM), (C) propionate (mM), and (D) butyrate (mM).
Metabolites 15 00530 g004
Figure 5. GOSexerted significant bifidogenic effects from the lowest dose onwards, relating to enhanced acetate and butyrate production. Average level (cells/mL) of (A) microbial phyla and (B) Bifidobacteriaceae (main family within Actinomycetota; deconvoluted in its main OTUs) (n = 8), along with correlations of absolute Bifidobacteriaceae levels with (C) acetate and (D) butyrate.
Figure 5. GOSexerted significant bifidogenic effects from the lowest dose onwards, relating to enhanced acetate and butyrate production. Average level (cells/mL) of (A) microbial phyla and (B) Bifidobacteriaceae (main family within Actinomycetota; deconvoluted in its main OTUs) (n = 8), along with correlations of absolute Bifidobacteriaceae levels with (C) acetate and (D) butyrate.
Metabolites 15 00530 g005
Figure 6. GOSsignificantly stimulated Lachnospiraceae members from the lowest test dose onwards, relating to enhanced acetate and butyrate production. Average level (cells/mL) of (A) Lachnospiraceae (main family within Bacillota_A; deconvoluted in its main OTUs) (n = 8), along with correlations of absolute Lachnospiraceae levels with (B) acetate and (C) butyrate.
Figure 6. GOSsignificantly stimulated Lachnospiraceae members from the lowest test dose onwards, relating to enhanced acetate and butyrate production. Average level (cells/mL) of (A) Lachnospiraceae (main family within Bacillota_A; deconvoluted in its main OTUs) (n = 8), along with correlations of absolute Lachnospiraceae levels with (B) acetate and (C) butyrate.
Metabolites 15 00530 g006
Figure 7. GOSsignificantly stimulated an OTU related to Phocaeicola vulgatus, an abundant Bacteroidaceae member, relating to enhanced propionate production. Average level (cells/mL) of (A) Bacteroidaceae (main family within Bacteroidota; deconvoluted in its main OTUs) (n = 8), along with (B) correlations between absolute Bacteroidaceae levels and propionate.
Figure 7. GOSsignificantly stimulated an OTU related to Phocaeicola vulgatus, an abundant Bacteroidaceae member, relating to enhanced propionate production. Average level (cells/mL) of (A) Bacteroidaceae (main family within Bacteroidota; deconvoluted in its main OTUs) (n = 8), along with (B) correlations between absolute Bacteroidaceae levels and propionate.
Metabolites 15 00530 g007
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Harthoorn, L.F.; Heyse, J.; Baudot, A.; van Hengel, I.A.J.; Van den Abbeele, P. Galacto-Oligosaccharides Exert Bifidogenic Effects at Capsule-Compatible Ultra-Low Doses. Metabolites 2025, 15, 530. https://doi.org/10.3390/metabo15080530

AMA Style

Harthoorn LF, Heyse J, Baudot A, van Hengel IAJ, Van den Abbeele P. Galacto-Oligosaccharides Exert Bifidogenic Effects at Capsule-Compatible Ultra-Low Doses. Metabolites. 2025; 15(8):530. https://doi.org/10.3390/metabo15080530

Chicago/Turabian Style

Harthoorn, Lucien F., Jasmine Heyse, Aurélien Baudot, Ingmar A. J. van Hengel, and Pieter Van den Abbeele. 2025. "Galacto-Oligosaccharides Exert Bifidogenic Effects at Capsule-Compatible Ultra-Low Doses" Metabolites 15, no. 8: 530. https://doi.org/10.3390/metabo15080530

APA Style

Harthoorn, L. F., Heyse, J., Baudot, A., van Hengel, I. A. J., & Van den Abbeele, P. (2025). Galacto-Oligosaccharides Exert Bifidogenic Effects at Capsule-Compatible Ultra-Low Doses. Metabolites, 15(8), 530. https://doi.org/10.3390/metabo15080530

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop