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Research paper

Metabolite profiling reveals the interaction of chitin-glucan with the gut microbiota

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Article: 1810530 | Received 15 Apr 2020, Accepted 05 Aug 2020, Published online: 06 Sep 2020

Figures & data

Table 1. Nutrient intake before and after 3 weeks of chitin-glucan supplementation in healthy volunteers.

Figure 1. Protocol design of the intervention.

One month before the start of the intervention, subjects were prescreened and followed a medical examination. Protocol starts at day 0, healthy subjects were asked to daily consume 4.5 g of CG during three weeks. The protocol ends at day 21. Test days took place at both day 0 (D0) and day 21 (D21) during that stool samples were collected. Patients were asked to fill out a food diary and questionnaires about gastrointestinal symptoms and quality of life (SF36: 36-item short form survey; VAS; 100-mm visual analog scales; BSFS: Bristol Stool Form Scale).
Figure 1. Protocol design of the intervention.

Figure 2. Gastrointestinal tolerance.

a: results of the Bristol stool scale (stool frequency and consistency) and the defecation questionnaire measuring urgency, facility and emptying. Data are expressed as mean±sem. NA: non applicable. Mixed-effects analysis were performed for detecting the treatment effect throughout the intervention. Mixed-effects analysis showed a significant effect of treatment on the evolution of level of emergency, and defecation facility, during the intervention (level of emergency, p < .05). b: gastrointestinal symptoms including discomfort, nausea, flatulence, cramp, burp, bloating, rumbling and reflux. Mixed-effects analysis were performed for detecting the treatment effect throughout the intervention. No significant difference was observed for any symptoms. c-d: Fecal concentrations of zonulin and calprotectin.
Figure 2. Gastrointestinal tolerance.

Table 2. Bacterial taxa and ASV significantly different after 3 weeks of CG intake.

Figure 3. CG did not change the overall composition of the gut microbiota.

a-c: Measures of alpha-diversity: Observed OTUs, Pielou’s evenness measure and Shannon. Data are expressed as mean±SEM. Wilcoxon matched-pairs test between D0 and D21. d-e: Principal coordinates analysis (PCoA) of the β-diversity indexes Bray-Curtis and Weighted UniFrac. p-values refer to Monte Carlo rank test performed on R software. f-g: Barplots of relative abundance of phylum and family levels accounting for more than 1% and 0.1% respectively. h: Correlation network analysis of genus significantly changed by CG. Spearman correlation, *p < .05. Orange lines indicate negative correlations, purple lines represent positive correlations.
Figure 3. CG did not change the overall composition of the gut microbiota.

Figure 4. CG increased the fecal concentration of butyric, iso-valeric and caproic acids.

a: Fecal concentrations of SCFA. Data are expressed as mean ± sem. Wilcoxon matched-pairs test between D0 and D21. *p < .05 and **p < .01. B: Heatmap of Spearman’s correlations between the ASV significantly modified by CG treatment and the fecal concentrations of SCFA. The presence of a circle indicates that the correlation is significant, p < .05.
Figure 4. CG increased the fecal concentration of butyric, iso-valeric and caproic acids.

Figure 5. CG increased the fecal concentrations of vaccenic acid.

a: Data are normalized to the mass of dry matter and are expressed as mean ± sem of the ratio between the signal of the analyte and the signal of its internal standard. b: Percentage of LCFA/total LCFA detected in the feces of human volunteers. Data are expressed as mean ± sem. Wilcoxon matched-pairs test between D0 and D21. *p < .05. c: Heatmap of Spearman’s correlations between the ASV significantly modified by CG treatment and the fecal concentrations of LCFA. The presence of circle means that the correlation is significant, p < .05.
Figure 5. CG increased the fecal concentrations of vaccenic acid.
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