Literature DB >> 27872184

Functional variants in the sucrase-isomaltase gene associate with increased risk of irritable bowel syndrome.

Maria Henström1, Lena Diekmann2, Ferdinando Bonfiglio1, Fatemeh Hadizadeh1, Eva-Maria Kuech2, Maren von Köckritz-Blickwede2, Louise B Thingholm3, Tenghao Zheng1, Ghazaleh Assadi1, Claudia Dierks4, Martin Heine2, Ute Philipp4, Ottmar Distl4, Mary E Money5,6, Meriem Belheouane7,8, Femke-Anouska Heinsen3, Joseph Rafter1, Gerardo Nardone9, Rosario Cuomo10, Paolo Usai-Satta11, Francesca Galeazzi12, Matteo Neri13, Susanna Walter14, Magnus Simrén15,16, Pontus Karling17, Bodil Ohlsson18,19, Peter T Schmidt20, Greger Lindberg20, Aldona Dlugosz20, Lars Agreus21, Anna Andreasson21,22, Emeran Mayer23, John F Baines7,8, Lars Engstrand24, Piero Portincasa25, Massimo Bellini26, Vincenzo Stanghellini27, Giovanni Barbara27, Lin Chang23, Michael Camilleri28, Andre Franke3, Hassan Y Naim2, Mauro D'Amato1,29,30.   

Abstract

OBJECTIVE: IBS is a common gut disorder of uncertain pathogenesis. Among other factors, genetics and certain foods are proposed to contribute. Congenital sucrase-isomaltase deficiency (CSID) is a rare genetic form of disaccharide malabsorption characterised by diarrhoea, abdominal pain and bloating, which are features common to IBS. We tested sucrase-isomaltase (SI) gene variants for their potential relevance in IBS.
DESIGN: We sequenced SI exons in seven familial cases, and screened four CSID mutations (p.Val557Gly, p.Gly1073Asp, p.Arg1124Ter and p.Phe1745Cys) and a common SI coding polymorphism (p.Val15Phe) in a multicentre cohort of 1887 cases and controls. We studied the effect of the 15Val to 15Phe substitution on SI function in vitro. We analysed p.Val15Phe genotype in relation to IBS status, stool frequency and faecal microbiota composition in 250 individuals from the general population.
RESULTS: CSID mutations were more common in patients than asymptomatic controls (p=0.074; OR=1.84) and Exome Aggregation Consortium reference sequenced individuals (p=0.020; OR=1.57). 15Phe was detected in 6/7 sequenced familial cases, and increased IBS risk in case-control and population-based cohorts, with best evidence for diarrhoea phenotypes (combined p=0.00012; OR=1.36). In the population-based sample, 15Phe allele dosage correlated with stool frequency (p=0.026) and Parabacteroides faecal microbiota abundance (p=0.0024). The SI protein with 15Phe exhibited 35% reduced enzymatic activity in vitro compared with 15Val (p<0.05).
CONCLUSIONS: SI gene variants coding for disaccharidases with defective or reduced enzymatic activity predispose to IBS. This may help the identification of individuals at risk, and contribute to personalising treatment options in a subset of patients. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Entities:  

Keywords:  DIARRHOEA; GENETICS; IRRITABLE BOWEL SYNDROME; POLYMORPHIC VARIATION

Mesh:

Substances:

Year:  2016        PMID: 27872184      PMCID: PMC5563477          DOI: 10.1136/gutjnl-2016-312456

Source DB:  PubMed          Journal:  Gut        ISSN: 0017-5749            Impact factor:   23.059


IBS shows genetic predisposition, but specific causative genes have not been unequivocally identified. Certain foods, particularly carbohydrates, are among the proposed triggers of IBS symptoms, at least in some patients. The sucrase–isomaltase (SI) gene, which is mutated in hereditary recessive forms of sucrose intolerance (congenital sucrase–isomaltase deficiency (CSID)) characterised by diarrhoea, represents an excellent candidate to play a role in IBS predisposition. Although rare, CSID mutations with known defective disaccharidase (SI) properties are found more often in patients with IBS than controls. A common SI variant (15Phe), which shows reduced enzymatic activity in vitro, is strongly associated with increased risk of IBS. Screening for functional SI genetic variants may help the identification of subsets of patients with suboptimal carbohydrate (disaccharide) digestion rates. This holds potential for stratifying patients with IBS and personalising treatment options in those with SI genetic defects.

Introduction

IBS is the most common gut disorder, affecting more than 10% of the general population in Westernised countries; it is associated with significant healthcare expenditure and considerably affects patients' quality of life.1 2 IBS is a functional GI disorder (FGID), diagnosed and classified according to expert consensus guidelines, the Rome criteria, based on recurrent symptoms including abdominal discomfort or pain associated with diarrhoea (IBS-D), constipation (IBS-C) or mixed symptoms (IBS-M).3 The aetiology of IBS is unknown, although psychological stressors, prior infections, dietary irritants, gut dysbiosis, epithelial barrier dysfunction and mucosal immune activation are among the recognised risk factors.4 Genetic predisposition has been demonstrated in classical family/twin studies and epidemiological surveys, but unequivocal susceptibility genes have yet to be identified.5 Because of incomplete understanding of the mechanisms underpinning IBS pathophysiology, effective treatment options are limited and primarily aimed at targeting symptoms, resulting in suboptimal efficacy. The role of nutrition and dietary factors is increasingly recognised in IBS. Patients (particularly IBS-D) often report postprandial symptoms,6 and many IBS sufferers claim that certain foods are the triggering factors.7 Avoidance of carbohydrates due to perceived maldigestion is common, and a diet low in fermentable oligosaccharides, disaccharides, monosaccharides and polyols (FODMAPs, which are poorly absorbed in the small intestine) has been proposed as effective in reducing IBS symptoms.8 9 At least in some patients, the food–symptom relation may involve malabsorption of carbohydrates due to inefficient enzymatic breakdown of polysaccharides, which may find indirect support in the observed symptom improvement in patients with postprandial IBS-D treated with pancrealipase,10 and the detection of disaccharidase deficiency in children with FGID.11 Sucrase–isomaltase (SI) deficiency (also called sucrose intolerance) is a form of carbohydrate malabsorption characterised by diarrhoea, abdominal pain and bloating, which are features common to IBS-D. The symptoms result from defective glucosidase (disaccharidase) activity of the SI enzyme in the small intestine.12 This enzyme is key to the degradation of starch and sugars digested daily,13 and its functional impairment leads to colonic accumulation of unabsorbed carbohydrates causing osmotic diarrhoea. At the same time, this induces a shift in gut microbiota-associated activities of carbohydrate metabolism and fermentation, with increased production of short-chain fatty acids and gases, which contribute to symptom generation. In the congenital form of SI deficiency (congenital sucrase–isomaltase deficiency (CSID)), patients harbour two defective copies of the SI gene due to recessive homozygous or compound heterozygous mutations that abolish or dramatically reduce enzymatic activity.14 15 CSID usually manifests early in life, but the phenotype and severity of symptoms can vary depending on the specific nature and position (sucrase or isomaltase domain) of different SI mutations and their homozygous or heterozygous combinations.16 In addition, adult patients, previously misdiagnosed with IBS, have been described.17 18 Overall, this speaks for a potentially higher clinical impact of SI genetic variation than that based solely on the detection of rare homozygous mutations in patients with CSID, evoking the hypothesis that SI functional polymorphisms may contribute also to IBS predisposition and symptom generation. If confirmed, this may have important implications in the management of IBS because of the potential for dietary intervention or enzyme supplementation in a subset of genetically exposed patients. To test this hypothesis, we performed a series of independent experiments: (1) sequencing of the entire SI coding region in seven familial cases of severe postprandial IBS-D; (2) detailed in vitro functional characterisation of a common coding variant leading to the amino acid change p.Val15Phe in the SI protein; (3) genotyping and association testing of the most common known CSID mutations,19 and the p.Val15Phe variant in 1887 individuals from four independent cohorts of IBS cases and controls; (4) in a small Swedish general population sample, pilot analyses of correlation between p.Val15Phe genotype and (i) IBS status (ii) stool frequency and (iii) faecal microbiota composition. The results obtained from these experiments support a role for SI genetic variation in IBS.

Materials and methods

Study subjects

IBS probands

Eight Caucasian individuals, namely seven postprandial IBS-D cases (Rome criteria) and one asymptomatic relative, from four unrelated families were selected for sequencing of the SI gene (see online supplementary figure S1). Two of the symptomatic patients were parents of two of the probands. Patients experienced meal-related symptoms for more than 2 years and were currently using digestive enzyme supplements to reduce postprandial symptoms (described more in detail in the online supplementary methods).

IBS case–control cohorts

We studied a total of 1031 IBS cases and 856 controls, all non-Hispanic/Latino whites from four independent cohorts from Sweden, Italy and USA, who have been described in detail elsewhere and already included in previous genetic studies.20–25 Their demographics and clinical characteristics are reported in table 1, and detailed information is provided in the online supplementary methods and table S1.
Table 1

Demographics and clinical characteristics of study subjects

Case–control cohorts
Sweden
Italy
US (Mayo)
US (UCLA)
Total
IBS CTRL IBS CTRL IBS CTRL IBS CTRL IBS CTRL
N3873553192551871141381321031856
Mean age, year4242.539.634.847.946.635.033.541.439.4
% F:M82:1843:5773:2768:3291:967:3375:2558:4280:2056:44
IBS-D1271598942417
IBS-C951285645324
IBS-M162324134269
IBS-U30117321
PopCol Total IBS* CTRL* Microbiota Diary
N25030163136133
Mean age, year53.651.654.754.854.7
% F:M64:3660:4059:4162:3865:35
IBS-D11
IBS-C5
IBS-M9
IBS-U5

*IBS cases (IBS) and asymptomatic controls (CTRL) were identified based on questionnaire data according to Rome criteria.

Diary, subjects with available daily recordings of defaecation patterns used for correlation analysis with the Val15Phe variant and stool frequency; Microbiota, subjects with available faecal 16S sequencing data; IBS-C, constipation-predominant IBS; IBS-D, diarrhoea-predominant IBS; IBS-M, IBS mixed phenotype; IBS-U, unclassified IBS; PopCol, Population-based Colonoscopy Study; UCLA, University of California, Los Angeles.

Demographics and clinical characteristics of study subjects *IBS cases (IBS) and asymptomatic controls (CTRL) were identified based on questionnaire data according to Rome criteria. Diary, subjects with available daily recordings of defaecation patterns used for correlation analysis with the Val15Phe variant and stool frequency; Microbiota, subjects with available faecal 16S sequencing data; IBS-C, constipation-predominant IBS; IBS-D, diarrhoea-predominant IBS; IBS-M, IBS mixed phenotype; IBS-U, unclassified IBS; PopCol, Population-based Colonoscopy Study; UCLA, University of California, Los Angeles.

PopCol participants

The Population-based Colonoscopy study (PopCol) is a cohort representative of the general population from Stockholm, Sweden, which includes a data-rich set of individuals with available information from bowel symptom questionnaires, 1-week and 2-week bowel pattern diaries, clinical records from gastroenterology visits, blood and stool samples for genetic and microbiota analyses, and histology from biopsies obtained at ileocolonoscopy (table 1, online supplementary table S1 and online supplementary methods).26 27 All study participants provided informed consent, and the study protocols were approved by local ethics committees.

Sequencing (SI and 16S) and genotyping

Sequencing of the SI coding region was performed as described previously28 and in the online supplementary methods. For the microbiota studies, faecal bacterial DNA was extracted from each sample and 16S rRNA gene amplicon (V1–V2 region) sequencing was performed on the MiSeq platform (Illumina, USA). Read coverage was normalised to 10 000 read per sample, and taxonomic classification was performed as described in the online supplementary methods. Targeted genotyping of known CSID mutations and the p.Val15Phe rs9290264 single nucleotide polymorphism (SNP) in patients with IBS and controls was carried out using the iPLEX chemistry on the MassARRAY platform (Sequenom, USA), while p.Val15Phe PopCol genotypes were extracted from available HumanOmniExpressExome data (Illumina, USA).

Measurement of SI enzymatic activity in vitro

Functional characterisation of the polymorphism p.Val15Phe was obtained in a well-established SI model system,29 by transiently transfecting monkey fibroblast COS-1 cells with cDNA vectors encoding the 15Val and 15Phe variants. Sucrase activity was measured using sucrose as a substrate as previously described.30 Briefly, immunoprecipitates from 15Val or 15Phe transfected cells were incubated with sucrose (28 mmol/L) for 1 hour at 37°C, and the amount of glucose generated from sucrose hydrolysis was detected using the glucose oxidation-phenol aminopyrine (GOD-PAP) monoreagent method (Axiom GmbH, Germany). To control for transfection efficiency, 15Val and 15Phe activities were normalised relative to the specific SI protein amounts, as measured by immunoblot analysis of the corresponding immunoprecipitates. A detailed description of the protocols adopted for the full in vitro functional characterisation of the p.Val15Phe polymorphism is reported in the online supplementary methods.

In silico and statistical analyses

PHRED-like scores from the Combined Annotation-Dependent Depletion (CADD) database V.1.3 were used for predicting functional effects of known CSID mutations and SI common coding polymorphisms (see online supplementary methods).31 One-sided (testing predisposing risk effects) association analysis of CSID mutations carriage was performed using 2×2 contingency table statistics (Fisher's exact test and χ2 as appropriate) in IBS cases versus (i) controls and (ii) reference genotypes from publicly available large-scale sequence data for individuals of European descent (http://exac.broadinstitute.org/).19 Association with the p.Val15Phe variant was tested on pooled data using logistic regression under a (best powered) additive genetic model adjusting for sex and batch (recruitment centre). A meta-analysis of results from individual cohorts was also carried out to verify the absence of statistical heterogeneity (see online supplementary methods). Spearman's correlation was used to assess the relationship between 15Phe copy number, stool frequency and gut microbiota composition in the PopCol cohort. Functional differences in 15Val and 15Phe SI protein properties in in vitro experiments were evaluated using Student's t-tests. More detailed descriptions of the statistical procedures are reported in the online supplementary methods.

Results

Sequencing of the SI gene in IBS families

Seven familial cases and one asymptomatic relative (control) from four IBS-D families were included in the SI sequencing effort (see online supplementary figure S1 and online supplementary methods), aiming to identify SI mutations or variants of potential relevance to IBS. No new variants were detected in this experiment (data not shown), and all sequenced family members were homozygous for SI reference coding alleles, except at two sites, namely missense SNPs rs9290264 (p.Val15Phe) and rs9283633 (p.Thr231Ala) (see online supplementary figure S1). Together with rs4855271 (p.Met1523Ile), rs9290264 and rs9283633 are the only common (minor allele frequency >0.01) missense SNPs in the SI gene (http://exac.broadinstitute.org/gene/ENSG00000090402 and figure 1). No conclusive experimental data exist on the potential functional effects of these amino acid changes on SI properties. However, opposite to p.Thr231Ala and p.Met1523Ile that result in benign changes, computational predictions at the CADD database (see online supplementary methods) rank p.Val15Phe among the top 1% most deleterious amino acid substitutions in the human genome,31 similar to known CSID mutations (figure 1). Although also common in the general population (allele frequency=0.3), the 15Phe was present in 6/7 (five heterozygous and one homozygous) sequenced affected family members, and cosegregated with IBS in the two families where parental SI sequence data were also available (see online supplementary figure S1). Based on the above information, we set to undertake a functional in vitro characterisation of the 15Phe coding allele.
Figure 1

Properties of sucrase–isomaltase (SI) mutants and common coding polymorphisms. Left: schematic representation of SI protein structure and functional domains; the position of congenital sucrase–isomaltase deficiency (CSID) mutations and common coding variants is reported and colour-coded according to their functional effects (red=damaging, green=benign). Right: the variants, corresponding dbSNP IDs (http://www.ncbi.nlm.nih.gov/SNP), SI protein domain location (TM, transmembrane; I, isomaltase; S, sucrase), allele frequency, PHRED-like score (range 1–99, ranking a variant relative to all possible substitutions in the human genome) and predicted functional consequences are reported. #Exome Aggregation Consortium browser (http://exac.broadinstitute.org); ^Combined Annotation-Dependent Depletion database (http://cadd.gs.washington.edu/info). SNP, single nucleotide polymorphism.

Properties of sucrase–isomaltase (SI) mutants and common coding polymorphisms. Left: schematic representation of SI protein structure and functional domains; the position of congenital sucrase–isomaltase deficiency (CSID) mutations and common coding variants is reported and colour-coded according to their functional effects (red=damaging, green=benign). Right: the variants, corresponding dbSNP IDs (http://www.ncbi.nlm.nih.gov/SNP), SI protein domain location (TM, transmembrane; I, isomaltase; S, sucrase), allele frequency, PHRED-like score (range 1–99, ranking a variant relative to all possible substitutions in the human genome) and predicted functional consequences are reported. #Exome Aggregation Consortium browser (http://exac.broadinstitute.org); ^Combined Annotation-Dependent Depletion database (http://cadd.gs.washington.edu/info). SNP, single nucleotide polymorphism.

Functional characterisation of the Phe15Val coding polymorphism

Adopting an established in vitro model previously used to study known CSID mutants, SI 15Val and 15Phe protein variants were individually expressed in COS-1 cells and tested for potential differences in their functional properties. The patterns of glycosylation and trypsin digestion, as well as the intracellular distribution and trafficking kinetics, appeared to be similar for the two variants (not shown). However, when tested for their relative cell surface expression, which requires association with lipid rafts through the stalk region adjacent to residue 15 where the 15Phe substitution occurs, the two variants' behaviour was consistently different under a series of experimental conditions, and the 15Phe variant showed a 20% reduction of cell surface localisation compared with 15Val (figure 2A–C). Of note, the 15Phe SI variant had an overall 35% reduction of enzyme activity compared with 15Val, after normalisation and quantification of immunoprecipitated proteins from COS-1 transfected cells (p<0.05; figure 2D).
Figure 2

Functional characterisation of the p.Val15Phe coding polymorphism. COS-1 cells were transiently transfected with either 15Val or 15Phe cDNAs and studied 48 hours after transfection. Individual values for 15Val and 15Phe cells from the same experiment are indicated with identical symbols. Net differences are reported with red bars as per cent average relative to 15Val arbitrarily set as 100% reference. (A) Cell surface localisation via immunofluorescence. Non-permeabilised cells were immunostained with a mixture of anti-sucrase–isomaltase (SI) antibodies and Alexa 488 secondary antibody, and analysed by confocal laser scanning microscopy on the xy (scale bar 25 µm) and xz planes (scale bar 10 µm). (B) Quantification of cell surface expression. SI surface proteins were labelled with biotin and immunoprecipitated using anti-Si antibodies after cell lysis. Immunoprecipitates were divided into two equal aliquots and analysed by immunoblotting with either anti-SI or anti-streptavidin antibodies. Relative quantification of surface-bound SI versus total cell SI was performed, and results are expressed in relation to values obtained for 15Val, which is set to 100%. (C) Quantification of association with sphingolipid/cholesterol-rich microdomains (lipid rafts) via detergent-resistant membrane (DRM) analysis. Following non-ionic detergent cell lysis, SI proteins were immunoprecipitated, fractionated by ultracentrifugation into insoluble (pellet, raft) and soluble (supernatant, non-raft) fractions, and DRM association (raft) quantified by immunoblotting with anti-SI antibodies. (D) Quantification of enzymatic activity. Sucrase activity was determined on immunoprecipitated SI proteins by measuring glucose release with the GOD–PAP method, upon normalisation for total protein amount by immunoblotting. *p<0.05.

Functional characterisation of the p.Val15Phe coding polymorphism. COS-1 cells were transiently transfected with either 15Val or 15Phe cDNAs and studied 48 hours after transfection. Individual values for 15Val and 15Phe cells from the same experiment are indicated with identical symbols. Net differences are reported with red bars as per cent average relative to 15Val arbitrarily set as 100% reference. (A) Cell surface localisation via immunofluorescence. Non-permeabilised cells were immunostained with a mixture of anti-sucrase–isomaltase (SI) antibodies and Alexa 488 secondary antibody, and analysed by confocal laser scanning microscopy on the xy (scale bar 25 µm) and xz planes (scale bar 10 µm). (B) Quantification of cell surface expression. SI surface proteins were labelled with biotin and immunoprecipitated using anti-Si antibodies after cell lysis. Immunoprecipitates were divided into two equal aliquots and analysed by immunoblotting with either anti-SI or anti-streptavidin antibodies. Relative quantification of surface-bound SI versus total cell SI was performed, and results are expressed in relation to values obtained for 15Val, which is set to 100%. (C) Quantification of association with sphingolipid/cholesterol-rich microdomains (lipid rafts) via detergent-resistant membrane (DRM) analysis. Following non-ionic detergent cell lysis, SI proteins were immunoprecipitated, fractionated by ultracentrifugation into insoluble (pellet, raft) and soluble (supernatant, non-raft) fractions, and DRM association (raft) quantified by immunoblotting with anti-SI antibodies. (D) Quantification of enzymatic activity. Sucrase activity was determined on immunoprecipitated SI proteins by measuring glucose release with the GOD–PAP method, upon normalisation for total protein amount by immunoblotting. *p<0.05.

Association analysis of CSID mutations and the 15Phe variant in IBS cases and controls

A total of 1887 individuals from four independent IBS case–control cohorts were included in the analysis of the SI gene in IBS (table 1). The four most common known CSID mutations (p.Val557Gly, p.Gly1073Asp, p.Arg1124Ter and p.Phe1745Cys) were genotyped in these cohorts and tested for their potential to confer IBS risk. Twenty-two heterozygous IBS cases and ten heterozygous controls were identified, consistent with a trend for patients with IBS to have nearly two times higher odds of carrying a CSID mutation than asymptomatic controls (p=0.074, OR=1.84; table 2). This finding (statistically weak due to the control sample size likely inadequate to test rare variants) could be consolidated by inspecting public data from a reference panel of >30 000 sequenced European individuals from the Exome Aggregation Consortium. As shown in table 2, significant results were obtained both for p.Val577Gly and a cumulative analysis of CSID mutations (p=0.0029, OR=2.11 and p=0.020, OR=1.57, respectively). The distribution of mutations into different IBS subtypes was even for p.Val557Gly, which maps to the isomaltase domain of the SI protein, though the other mutations affecting the sucrase domain (p.Gly1073Asp, p.Arg1124Ter and p.Phe1745Cys; figure 1) were found only in patients with IBS-D and IBS-M (table 2). The IBS predisposing potential of the 15Phe variant was also tested by genotyping the entire sample for the rs9290264 (Val15Phe) SNP. As shown in table 3, 15Phe was significantly associated with increased risk of IBS in a logistic regression analysis of the combined cohorts under an additive genetic model adjusted for sex and recruitment centre (p=0.0030, OR=1.26). Similar findings (associations and effect sizes) were obtained using a dominant model, while recessive association testing yielded negative results (data not shown). Of note, the strength of association appeared to vary in different IBS subtypes, as 15Phe significantly affected disease risk only in the subtypes characterised by diarrhoea, and the D and M subtypes combined provided the best evidence of association and stronger genetic risk effects (p=0.00051, OR=1.34 for the IBS-D/IBS-M; table 3). Similar IBS genetic risk effects were observed across all four datasets, and a meta-analysis of associations from individual cohorts yielded results identical to the pooled analyses and devoid of statistical heterogeneity (Cochran's Q range 0.55–0.97 and heterogeneity index I2=0 for all IBS traits; online supplementary figure S2).
Table 2

Association of known CSID mutations with IBS

IBSSubtypesCTRLSp Value*ORExACp Value*OR
N=1031N=856N=31 402
p.Val577Gly144 IBS-D, 5 IBS-M, 5 IBS-C60.121.95203 0.0029 2.11
p.Gly1073Asp33 IBS-D30.570.831090.420.89
p.Arg1124Ter11 IBS-D080.0774.04
p.Phe1745Cys41 IBS-D, 2 IBS-M, 1 IBS-U10.253.331100.421.11
Any mutation229 IBS-D, 7 IBS-M, 5 IBS-C, 1 IBS-U100.0741.84430 0.020 1.57

*p Value for carriage of SI mutations in IBS cases (IBS) versus controls (CTRLS) and versus ExAC-sequenced individuals of European descent (ExAC).

CSID, Congenital sucrase–isomaltase deficiency; ExAC, Exome Aggregation Consortium; SI, sucrase–isomaltase; IBS-C, constipation-predominant IBS; IBS-D, diarrhoea-predominant IBS; IBS-M, IBS mixed phenotype; IBS-U, unclassified IBS. Significant p Values (<0.05) highlighted in bold italics.

Table 3

Association of the 15Phe variant with IBS

CTRLIBS
IBS-C
IBS-D
IBS-M
IBS-D/M
AFAFp ValueORAFp ValueORAFp ValueORAFp ValueORAFp ValueOR
Case–control0.2640.306 0.0030* 1.26 0.2790.421.090.312 0.0082 1.30 0.329 0.0026* 1.41 0.319 0.00051* 1.34
PopCol0.290.417 0.045 1.89 0.4000.451.720.4090.201.880.556 0.017 3.81 0.475 0.013 2.50
Combined0.2680.309 0.0013* 1.27 0.2810.391.100.314 0.0052 1.30 0.336 0.00057* 1.46 0.323 0.00012* 1.36

*p Value significant after Bonferroni correction for multiple comparisons (N=15), considering five traits (IBS, IBS-C, IBD-D, IBS-M and IBS-D/M) in three datasets (case–control cohorts, PopCol and both combined). Significant p Values (<0.05) highlighted in bold italics.

AF, 15Phe allele frequency; CTRL, controls; IBS-C, constipation-predominant IBS; IBS-D, diarrhoea-predominant IBS; IBS-D/M, IBS-D+IBS-M; IBS-M, IBS mixed phenotype; p Value, p Value from logistic regression adjusted for sex and batch (centre).

Association of known CSID mutations with IBS *p Value for carriage of SI mutations in IBS cases (IBS) versus controls (CTRLS) and versus ExAC-sequenced individuals of European descent (ExAC). CSID, Congenital sucrase–isomaltase deficiency; ExAC, Exome Aggregation Consortium; SI, sucrase–isomaltase; IBS-C, constipation-predominant IBS; IBS-D, diarrhoea-predominant IBS; IBS-M, IBS mixed phenotype; IBS-U, unclassified IBS. Significant p Values (<0.05) highlighted in bold italics. Association of the 15Phe variant with IBS *p Value significant after Bonferroni correction for multiple comparisons (N=15), considering five traits (IBS, IBS-C, IBD-D, IBS-M and IBS-D/M) in three datasets (case–control cohorts, PopCol and both combined). Significant p Values (<0.05) highlighted in bold italics. AF, 15Phe allele frequency; CTRL, controls; IBS-C, constipation-predominant IBS; IBS-D, diarrhoea-predominant IBS; IBS-D/M, IBS-D+IBS-M; IBS-M, IBS mixed phenotype; p Value, p Value from logistic regression adjusted for sex and batch (centre).

Analysis of the 15Phe variant in relation to bowel function and microbiota in the general population

A data-rich subset of 250 individuals from the PopCol cohort was studied to run pilot tests of the relevance of 15Phe in the general population, in relation to bowel function, symptoms and microbiota composition (table 1). Using Rome III criteria extracted from questionnaire data, 30 IBS and 163 symptom-free individuals were identified, and, despite small sample size, a significant association was detected between 15Phe and increased IBS risk, particularly IBS-M (p=0.017, OR=3.81; table 3). Combining these data with the case–control results further strengthened the evidence of association with IBS, which was strongest in patients with diarrhoea from the IBS-M and IBS-D subtypes (combined p=0.00012, OR=1.36; table 3). In 133 PopCol individuals who had daily recordings of defaecation patterns (see online supplementary methods), a significant correlation (p=0.026) was observed between the number of 15Phe copies and mean stool frequency, with homozygous carriers showing the highest number of bowel movements per day (figure 3). However, no significant findings were obtained from a similar analysis assessing the relationship with stool consistency (measured on the Bristol Stool Form Scale, not shown). Faecal microbiota data (16S rRNA gene sequencing) were available for 136 PopCol-genotyped individuals and used to test the potential relation between host p.Val15Phe genotype and gut bacterial community composition (see online supplementary methods). By testing the 20 most abundant genera (see online supplementary table S2), we detected Bonferroni-corrected significant inverse correlation between the number of 15Phe copies and the abundance of Parabacteroides (p=0.0024; online supplementary figure S3). This was independent of IBS status and bowel complaints, as the correlation was still significant when tested in the subset of 90 PopCol symptom-free individuals (data not shown).
Figure 3

Correlation between p.Val15Phe genotype and stool frequency. Mean (±SD) number of bowel movements per day (stool frequency, y-axis) is reported for Population-based Colonoscopy Study individuals (with available diary data) stratified according to the genotype at the p.Val15Phe single nucleotide polymorphism site (x-axis). The Spearman's p value for the correlation test is also reported.

Correlation between p.Val15Phe genotype and stool frequency. Mean (±SD) number of bowel movements per day (stool frequency, y-axis) is reported for Population-based Colonoscopy Study individuals (with available diary data) stratified according to the genotype at the p.Val15Phe single nucleotide polymorphism site (x-axis). The Spearman's p value for the correlation test is also reported.

Discussion

Our studies show that genetic variation in the SI gene is associated with predisposition to IBS. We detected a twofold increased risk of IBS in heterozygous carriers of known rare CSID mutations. In addition, we detected genetic risk effects attributable to a common coding variant, 15Phe at SNP rs9290264, which cosegregated with IBS in some affected families, and was associated with increased disease odds in large multinational IBS case–control cohorts and a pilot general population sample. Although the current study only targeted a few selected functional variants, the SI gene harbours >700 other (mostly rare) coding SNPs. Hence, SI polymorphisms may influence IBS risk across different homozygous, heterozygous and compound heterozygous allelic combinations, and future resequencing and large-scale SI genotyping efforts may lead to the identification of additional IBS risk variants. As previously demonstrated for CSID mutants with established SI defects, we also discovered that the 15Phe variant imparts deficient enzymatic properties, resulting in 35% reduced disaccharidase activity in vitro. Reduced carbohydrate degradation rates may result in altered concentrations of starch and sugar (sucrose) breakdown products across the intestine, possibly including colonic increase of undigested disaccharides not absorbed through the small intestine. In the large bowel, osmotic luminal water release, microbiota composition and bacterial fermentation with gas production are all potentially affected by these changes, with repercussions across diverse bowel functions and, ultimately, symptoms.12 32 Of interest, in the PopCol cohort, we observed a positive correlation between the number of 15Phe copies and defaecation frequency, which might be due to the effects on transit time mediated by similar mechanisms. Hence, genotype-dependent reduction of SI disaccharidase function appears to affect disease risk across a clinical spectrum ranging from severe monogenic CSID forms to milder complex IBS manifestations. The latter is particularly true for IBS phenotypes characterised by diarrhoea, since, similar to the effect of rare mutations in CSID, 15Phe shows strongest association with the IBS-M and IBS-D subtypes while no significant results were obtained for IBS-C. This notion is important because it may help identify a subgroup of patients with IBS with inherited predisposition to disaccharide maldigestion, which holds potential for personalised approaches to their clinical management. Dietary carbohydrates are recognised triggers in many IBS sufferers, who often implement food avoidance regimes in the attempt to control or reduce their symptoms; thus, 52% of 1242 US patients with IBS who completed an IBS-Patient Education Questionnaire in 2007 also believed IBS is caused by lack of digestive enzymes.33 The results from our study provide a biological basis for these beliefs, by demonstrating potential mechanisms mediating the interplay between carbohydrate consumption and enzymatic (SI) defects in their digestion. At the same time, they also provide a rationale for future studies of bowel symptoms in patients with IBS stratified according to SI genotype in eventual trials of dietary exclusion of sucrose or enzyme supplementation. With increasing recognition of the importance of dietary factors in IBS, our results may contribute to inform FODMAP-based strategies for the treatment of IBS. For instance, it may be of high interest to further evaluate low-FODMAP diets or similarly effective traditional dietary intervention strategies34 for their efficacy in reducing IBS symptoms by also taking into account patients' SI genotype. Finally, the results from our pilot study of PopCol microbiota composition in relation to Val15Phe genotype are interesting, because faecal microbiota concentration of Parabacteroides has been shown to decrease with higher dietary carbohydrate intake,35 and this genus was under-represented in patients with IBS, at least in some studies.36 37 Although unlikely of causative nature, the negative correlation between 15Phe allele dosage and Parabacteroides abundance may thus contribute to the identification and further stratification of patients with IBS with SI disturbances. In conclusion, we report the first experimental evidence pointing to nutrigenetic mechanisms associated with IBS predisposition and symptom generation. This holds potential for stratifying patients with IBS and personalising treatment options in those with SI genetic defects.
  37 in total

1.  Novel mutations in the human sucrase-isomaltase gene (SI) that cause congenital carbohydrate malabsorption.

Authors:  Petra Sander; Marwan Alfalah; Markus Keiser; Ilma Korponay-Szabo; Judit B Kovács; Tosso Leeb; Hassan Y Naim
Journal:  Hum Mutat       Date:  2006-01       Impact factor: 4.878

Review 2.  Peripheral mechanisms in irritable bowel syndrome.

Authors:  Michael Camilleri
Journal:  N Engl J Med       Date:  2012-10-25       Impact factor: 91.245

Review 3.  Congenital sucrase-isomaltase deficiency.

Authors:  W R Treem
Journal:  J Pediatr Gastroenterol Nutr       Date:  1995-07       Impact factor: 2.839

Review 4.  Sensitivity to wheat, gluten and FODMAPs in IBS: facts or fiction?

Authors:  Roberto De Giorgio; Umberto Volta; Peter R Gibson
Journal:  Gut       Date:  2015-06-15       Impact factor: 23.059

5.  Compound heterozygous mutations affect protein folding and function in patients with congenital sucrase-isomaltase deficiency.

Authors:  Marwan Alfalah; Markus Keiser; Tosso Leeb; Klaus-Peter Zimmer; Hassan Y Naim
Journal:  Gastroenterology       Date:  2008-11-19       Impact factor: 22.682

6.  Linking long-term dietary patterns with gut microbial enterotypes.

Authors:  Gary D Wu; Jun Chen; Christian Hoffmann; Kyle Bittinger; Ying-Yu Chen; Sue A Keilbaugh; Meenakshi Bewtra; Dan Knights; William A Walters; Rob Knight; Rohini Sinha; Erin Gilroy; Kernika Gupta; Robert Baldassano; Lisa Nessel; Hongzhe Li; Frederic D Bushman; James D Lewis
Journal:  Science       Date:  2011-09-01       Impact factor: 47.728

7.  Ulcerative colitis and irritable bowel patients exhibit distinct abnormalities of the gut microbiota.

Authors:  Samah O Noor; Karyn Ridgway; Louise Scovell; E Katherine Kemsley; Elizabeth K Lund; Crawford Jamieson; Ian T Johnson; Arjan Narbad
Journal:  BMC Gastroenterol       Date:  2010-11-12       Impact factor: 3.067

8.  Pilot study: a randomised, double blind, placebo controlled trial of pancrealipase for the treatment of postprandial irritable bowel syndrome-diarrhoea.

Authors:  Mary E Money; Jaroslaw Walkowiak; Chris Virgilio; Nicholas J Talley
Journal:  Frontline Gastroenterol       Date:  2010-11-03

9.  Genetic variants in CDC42 and NXPH1 as susceptibility factors for constipation and diarrhoea predominant irritable bowel syndrome.

Authors:  Mira M Wouters; Diether Lambrechts; Michael Knapp; Isabelle Cleynen; Peter Whorwell; Lars Agréus; Aldona Dlugosz; Peter Thelin Schmidt; Jonas Halfvarson; Magnus Simrén; Bodil Ohlsson; Pontus Karling; Sander Van Wanrooy; Stéphanie Mondelaers; Severine Vermeire; Greger Lindberg; Robin Spiller; George Dukes; Mauro D'Amato; Guy Boeckxstaens
Journal:  Gut       Date:  2013-09-16       Impact factor: 23.059

10.  Catecholaminergic Gene Polymorphisms Are Associated with GI Symptoms and Morphological Brain Changes in Irritable Bowel Syndrome.

Authors:  Alexa Orand; Arpana Gupta; Wendy Shih; Angela P Presson; Christian Hammer; Beate Niesler; Nuwanthi Heendeniya; Emeran A Mayer; Lin Chang
Journal:  PLoS One       Date:  2015-08-19       Impact factor: 3.240

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  36 in total

Review 1.  What's in the pipeline for lower functional gastrointestinal disorders in the next 5 years?

Authors:  Michael Camilleri
Journal:  Am J Physiol Gastrointest Liver Physiol       Date:  2019-08-28       Impact factor: 4.052

2.  Variable Use of Disaccharidase Assays When Evaluating Abdominal Pain.

Authors:  Stanley A Cohen; Hannah Oloyede
Journal:  Gastroenterol Hepatol (N Y)       Date:  2018-01

Review 3.  Disorders of the enteric nervous system - a holistic view.

Authors:  Beate Niesler; Stefanie Kuerten; I Ekin Demir; Karl-Herbert Schäfer
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2021-01-29       Impact factor: 46.802

Review 4.  Genetics of irritable bowel syndrome: shifting gear via biobank-scale studies.

Authors:  Michael Camilleri; Alexandra Zhernakova; Isotta Bozzarelli; Mauro D'Amato
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2022-08-10       Impact factor: 73.082

5.  Sucrase-Isomaltase Deficiency as a Potential Masquerader in Irritable Bowel Syndrome.

Authors:  Su Bin Kim; Fernando H Calmet; Jose Garrido; Monica T Garcia-Buitrago; Baharak Moshiree
Journal:  Dig Dis Sci       Date:  2019-09-06       Impact factor: 3.199

Review 6.  Update on Dietary Management of Childhood Functional Abdominal Pain Disorders.

Authors:  Bruno P Chumpitazi
Journal:  Gastroenterol Clin North Am       Date:  2018-09-28       Impact factor: 3.806

7.  Female-Specific Association Between Variants on Chromosome 9 and Self-Reported Diagnosis of Irritable Bowel Syndrome.

Authors:  Ferdinando Bonfiglio; Tenghao Zheng; Koldo Garcia-Etxebarria; Fatemeh Hadizadeh; Luis Bujanda; Francesca Bresso; Lars Agreus; Anna Andreasson; Aldona Dlugosz; Greger Lindberg; Peter T Schmidt; Pontus Karling; Bodil Ohlsson; Magnus Simren; Susanna Walter; Gerardo Nardone; Rosario Cuomo; Paolo Usai-Satta; Francesca Galeazzi; Matteo Neri; Piero Portincasa; Massimo Bellini; Giovanni Barbara; Anna Latiano; Matthias Hübenthal; Vincent Thijs; Mihai G Netea; Daisy Jonkers; Lin Chang; Emeran A Mayer; Mira M Wouters; Guy Boeckxstaens; Michael Camilleri; Andre Franke; Alexandra Zhernakova; Mauro D'Amato
Journal:  Gastroenterology       Date:  2018-04-05       Impact factor: 22.682

Review 8.  What Are the Pearls and Pitfalls of the Dietary Management for Chronic Diarrhoea?

Authors:  Leigh O'Brien; Catherine L Wall; Tim J Wilkinson; Richard B Gearry
Journal:  Nutrients       Date:  2021-04-21       Impact factor: 5.717

Review 9.  Milestones of Precision Medicine: An Innovative, Multidisciplinary Overview.

Authors:  Jesús García-Foncillas; Jesús Argente; Luis Bujanda; Victoria Cardona; Bonaventura Casanova; Ana Fernández-Montes; José A Horcajadas; Andrés Iñiguez; Alberto Ortiz; José L Pablos; María Vanessa Pérez Gómez
Journal:  Mol Diagn Ther       Date:  2021-07-30       Impact factor: 4.074

10.  Patients with functional bowel disorder have disaccharidase deficiency: A single-center study from Russia.

Authors:  Saria Dbar; Olga Akhmadullina; Elena Sabelnikova; Nikolai Belostotskiy; Asfold Parfenov; Svetlana Bykova; Sergey Bakharev; Elena Baulo; Alexandra Babanova; Lilia Indeykina; Tatyana Kuzmina; Tatiana Kosacheva; Aleksey Spasenov; Alina Makarova
Journal:  World J Clin Cases       Date:  2021-06-16       Impact factor: 1.337

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