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. 2019 Jan;68(1):177-178.
doi: 10.1136/gutjnl-2017-315841. Epub 2018 Jan 13.

Sucrase-isomaltase 15Phe IBS risk variant in relation to dietary carbohydrates and faecal microbiota composition

Louise Thingholm  1 , Malte Rühlemann  1 , Jun Wang  2 , Matthias Hübenthal  1 , Wolfgang Lieb  3 , Matthias Laudes  4 , Andre Franke #  1 , Mauro D'Amato #  5   6   7
Affiliations

Sucrase-isomaltase 15Phe IBS risk variant in relation to dietary carbohydrates and faecal microbiota composition

Louise Thingholm et al. Gut. 2019 Jan.
No abstract available

Keywords: carbohydrates; enteric bacterial microflora; genetics; irritable bowel syndrome.

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Conflict of interest statement

Competing interests: MDA has received unrestricted research grants from QOL Medical.

Figures

Figure 1
Figure 1
Sucrase-isomaltase (SI) 15Phe-driven IBS risk effects are stronger in low-starch consumers. The prevalence of IBS (%) across quartiles of starch intake (g/day) is reported, together with respective counts and number of individuals in each quartile group (Q1–Q4).
Figure 2
Figure 2
15Phe genotype influences Blautia faecal abundance. (Left) Genotype-stratified correlation between starch intake and Blautia faecal microbiota abundance (each circle represents an individual). A trend was identified when comparing the two sucrase-isomaltase (SI) 15Phe genotype groups for their starch-bacteria correlations (age/sex/body mass index (BMI)/total energy (TE)-adjusted generalised linear model (GLM) with negative-binomial distribution, and interaction term for genotype and starch intake), in that increasing starch intake corresponds to higher Blautia abundance in 15Phe carriers compared with non-carriers (uncorrected P=0.054). (Right) Blautia faecal microbiota abundance in the two SI genotype groups stratified according to IBS status was significantly increased in IBS cases carrying the 15Phe variant (P=0.00041, beta=0.80), while there was no significant association in non-carriers (P=0.31, beta=0.33). Association analysis was performed using GLM age/sex/BMI/TE adjusted (glm.nb in stats/R). Plots were made using ggplot in ggplot2/R with stat_smooth and method=lm (left panel), and square root transformation of Blautia relative abundance (right panel).
See this image and copyright information in PMC

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