Cited by 495Gut microbiota and healthAutism Spectrum Disorder ResearchGastrointestinal motility and disorders

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Impaired Carbohydrate Digestion and Transport and Mucosal Dysbiosis in the Intestines of Children with Autism and Gastrointestinal Disturbances

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Abstract

Gastrointestinal disturbances are commonly reported in children with autism, complicate clinical management, and may contribute to behavioral impairment. Reports of deficiencies in disaccharidase enzymatic activity and of beneficial responses to probiotic and dietary therapies led us to survey gene expression and the mucoepithelial microbiota in intestinal biopsies from children with autism and gastrointestinal disease and children with gastrointestinal disease alone. Ileal transcripts encoding disaccharidases and hexose transporters were deficient in children with autism, indicating impairment of the primary pathway for carbohydrate digestion and transport in enterocytes. Deficient expression of these enzymes and transporters was associated with expression of the intestinal transcription factor, CDX2. Metagenomic analysis of intestinal bacteria revealed compositional dysbiosis manifest as decreases in Bacteroidetes, increases in the ratio of Firmicutes to Bacteroidetes, and increases in Betaproteobacteria. Expression levels of disaccharidases and transporters were associated with the abundance of affected bacterial phylotypes. These results indicate a relationship between human intestinal gene expression and bacterial community structure and may provide insights into the pathophysiology of gastrointestinal disturbances in children with autism.

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Figures

Figure 1 Quantitative real-time PCR analysis of disaccharidases, hexose transporters, villin and CDX2 transcripts. Box-and-whisker plots displaying (A) SI (Mann-Whitney; p = 0.001), (B) MGAM (Mann-Whitney; p = 0.003), (C) LCT (Mann-Whitney; p = 0.032), (D) SGLT1 (Mann-Whitney; p = 0.008), (E) GLUT2 (Mann-Whitney; p = 0.010), (F) Villin (Mann-Whitney; p = 0.307), and (G) CDX2 (Mann-Whitney; p = 0.192) mRNA expression normalized to GAPDH mRNA in ileal biopsies from AUT-GI (AUT) and Control-GI (Control) patients. *, p<0.05; **, p<0.01; n.s., not significant.
Figure 1 Quantitative real-time PCR analysis of disaccharidases, hexose transporters, villin and CDX2 transcripts. Box-and-whisker plots displaying (A) SI (Mann-Whitney; p = 0.001), (B) MGAM (Mann-Whitney; p = 0.003), (C) LCT (Mann-Whitney; p = 0.032), (D) SGLT1 (Mann-Whitney; p = 0.008), (E) GLUT2 (Mann-Whitney; p = 0.010), (F) Villin (Mann-Whitney; p = 0.307), and (G) CDX2 (Mann-Whitney; p = 0.192) mRNA expression normalized to GAPDH mRNA in ileal biopsies from AUT-GI (AUT) and Control-GI (Control) patients. *, p<0.05; **, p<0.01; n.s., not significant.CC BY · PubMed Central
Figure 2 Patient summary tables for gene expression and bacterial assays. (A–C) Increases or decreases in AUT-GI children in both gene expression (A) and bacterial parameters (B and C) were determined for each individual based on the levels of each parameter in the Control-GI group. (A) The gene expression levels in the AUT-GI children that exceeded the 75th percentile of Control-GI values and were at least 2-fold increased relative to the Control-GI mean (red arrow) or below the 25th percentile of Control-GI values and at least 2-fold decreased relative to the Control-GI mean (green arrow) were scored as an increase or decrease, respectively. Values above the 90th or below the 10th percentiles of Control-GI children are indicated by double arrows. (B and C) Bacterial parameters in AUT-GI children that exceeded the 75th percentile of Control-GI values (red arrows) or were below the 25th percentile of Control-GI values (green arrows) were scored as an increase or decrease, respectively. Values above the 90th or below the 10th percentiles of Control-GI children are indicated by double arrows. Results are shown for data obtained by real-time PCR (RT), where performed, and pyrosequencing (454). (n.c. = no change relative to defined cut-off values for Control-GI children).
Figure 2 Patient summary tables for gene expression and bacterial assays. (A–C) Increases or decreases in AUT-GI children in both gene expression (A) and bacterial parameters (B and C) were determined for each individual based on the levels of each parameter in the Control-GI group. (A) The gene expression levels in the AUT-GI children that exceeded the 75th percentile of Control-GI values and were at least 2-fold increased relative to the Control-GI mean (red arrow) or below the 25th percentile of Control-GI values and at least 2-fold decreased relative to the Control-GI mean (green arrow) were scored as an increase or decrease, respectively. Values above the 90th or below the 10th percentiles of Control-GI children are indicated by double arrows. (B and C) Bacterial parameters in AUT-GI children that exceeded the 75th percentile of Control-GI values (red arrows) or were below the 25th percentile of Control-GI values (green arrows) were scored as an increase or decrease, respectively. Values above the 90th or below the 10th percentiles of Control-GI children are indicated by double arrows. Results are shown for data obtained by real-time PCR (RT), where performed, and pyrosequencing (454). (n.c. = no change relative to defined cut-off values for Control-GI children).CC BY · PubMed Central
Figure 3 Composition of intestinal microflora in AUT-GI children. (A–B) Phylum-level comparison of the average relative abundance of bacterial taxa in ileal (A) and cecal (B) biopsies. (C–D) Bacteroidete abundance, obtained from pyrosequencing for ileal (C; Mann-Whitney, p = 0.012) and cecal (D; Mann-Whitney, p = 0.008) biopsies. (E–F) Bacteroidete-specific quantitative real-time PCR analysis of ileal (E; Mann-Whitney, p = 0.003) and cecal (F; Mann-Whitney, p = 0.022) biopsies; copy number values are normalized relative to total bacteria copy numbers. *, p<0.05; **, p<0.01.
Figure 3 Composition of intestinal microflora in AUT-GI children. (A–B) Phylum-level comparison of the average relative abundance of bacterial taxa in ileal (A) and cecal (B) biopsies. (C–D) Bacteroidete abundance, obtained from pyrosequencing for ileal (C; Mann-Whitney, p = 0.012) and cecal (D; Mann-Whitney, p = 0.008) biopsies. (E–F) Bacteroidete-specific quantitative real-time PCR analysis of ileal (E; Mann-Whitney, p = 0.003) and cecal (F; Mann-Whitney, p = 0.022) biopsies; copy number values are normalized relative to total bacteria copy numbers. *, p<0.05; **, p<0.01.CC BY · PubMed Central
Figure 4 Firmicute/Bacteroidete ratios, Clostridia family abundance, and cumulative levels of Firmicutes and Proteobacteria. (A–B) Firmicute/Bacteroidete ratio from pyrosequencing reads obtained from ileal (A; Mann-Whitney, p = 0.026) and cecal (B; Mann-Whitney, p = 0.032) biopsies. (C–D) Firmicute/Bacteroidete ratios obtained by real-time PCR for ilea (C; Mann-Whitney, p = 0.0006) and ceca (D; Mann-Whitney, p = 0.022). (E–F) Cumulative abundance of Firmicutes and Proteobacteria from ileal (E; Mann-Whitney, p = 0.015) and cecal (F; Mann-Whitney, p = 0.007) biopsies. (G–H) Cumulative levels of members of the families Lachnospiraceae and Ruminococcaceae in ileal (G; Mann-Whitney; p = 0.062) and cecal (H; Mann-Whitney; p = 0.098) biopsies. (I–J) Family-level abundance distributions of the class Clostridia in ileum (I) and cecum (J): bottom row displays cumulative levels of all family members by patient; gray cells indicate where no sequences were observed for a given taxa. *, p<0.05; **, p<0.01; ***, p<0.001; †, p<0.1 (trend).
Figure 4 Firmicute/Bacteroidete ratios, Clostridia family abundance, and cumulative levels of Firmicutes and Proteobacteria. (A–B) Firmicute/Bacteroidete ratio from pyrosequencing reads obtained from ileal (A; Mann-Whitney, p = 0.026) and cecal (B; Mann-Whitney, p = 0.032) biopsies. (C–D) Firmicute/Bacteroidete ratios obtained by real-time PCR for ilea (C; Mann-Whitney, p = 0.0006) and ceca (D; Mann-Whitney, p = 0.022). (E–F) Cumulative abundance of Firmicutes and Proteobacteria from ileal (E; Mann-Whitney, p = 0.015) and cecal (F; Mann-Whitney, p = 0.007) biopsies. (G–H) Cumulative levels of members of the families Lachnospiraceae and Ruminococcaceae in ileal (G; Mann-Whitney; p = 0.062) and cecal (H; Mann-Whitney; p = 0.098) biopsies. (I–J) Family-level abundance distributions of the class Clostridia in ileum (I) and cecum (J): bottom row displays cumulative levels of all family members by patient; gray cells indicate where no sequences were observed for a given taxa. *, p<0.05; **, p<0.01; ***, p<0.001; †, p<0.1 (trend).CC BY · PubMed Central
Figure 5 Abundance of Proteobacteria in AUT-GI and Control-GI children. (A–B) Phyla-level abundance of Proteobacteria members in ileal (A; Mann-Whitney, p = 0.549) and cecal (B; Mann-Whitney, p = 0.072) biopsies obtained by pyrosequencing. (C–D) Class-level abundance of Betaproteobacteria members in ileal (C; Mann-Whitney, p = 0.072) and cecal (D; Mann-Whitney, p = 0.038) biopsies. (E–F) Family-level abundance distributions of bacteria within the classes Alpha-, Beta-, and Gammaproteobacteria in ileal (E) and cecal (F) biopsies: bottom row of each heatmap displays the cumulative levels of family members in each class of Proteobacteria by patient; gray cells indicate where no sequences were identified for a given taxa. *, p<0.05; †, p<0.1 (trend); n.s., not significant.
Figure 5 Abundance of Proteobacteria in AUT-GI and Control-GI children. (A–B) Phyla-level abundance of Proteobacteria members in ileal (A; Mann-Whitney, p = 0.549) and cecal (B; Mann-Whitney, p = 0.072) biopsies obtained by pyrosequencing. (C–D) Class-level abundance of Betaproteobacteria members in ileal (C; Mann-Whitney, p = 0.072) and cecal (D; Mann-Whitney, p = 0.038) biopsies. (E–F) Family-level abundance distributions of bacteria within the classes Alpha-, Beta-, and Gammaproteobacteria in ileal (E) and cecal (F) biopsies: bottom row of each heatmap displays the cumulative levels of family members in each class of Proteobacteria by patient; gray cells indicate where no sequences were identified for a given taxa. *, p<0.05; †, p<0.1 (trend); n.s., not significant.CC BY · PubMed Central
Figure 6 Levels of Clostridiales members in AUT-GI patients stratified by timing of GI onset. (A–B) Abundance of Clostridiales from ileal (A) and cecal (B) biopsies from AUT-GI and Control-GI patients (n = 7), with AUT-GI stratified by whether the onset of GI symptoms occurred after (n = 5) the onset of autism symptoms (GI-After) or before and at the same time (n = 10) as autism symptoms (GI-Before/Same). [A: AUT (GI-After) vs. AUT (GI-Before/Same), Mann-Whitney, p = 0.028; AUT (GI-Before/Same) vs. Control-GI, Mann-Whitney, p = 0.015; AUT (GI-After) vs. Control-GI, Mann-Whitney, p = 0.935] [B: AUT (GI-After) vs. AUT (GI-Before/Same), Mann-Whitney, p = 0.037; AUT (GI-Before/Same) vs. Control-GI, Mann-Whitney, p = 0.019; AUT (GI-After) vs. Control-GI, Mann-Whitney, p = 0.935]. (C–D) Cumulative abundance of Lachnospiraceae and Ruminococcaceae from ileal (C) and cecal (D) biopsies from AUT-GI and Control-GI patients (n = 7), with AUT-GI stratified by whether the onset of GI symptoms occurred after (n = 5) the onset of autism symptoms or before and at the same time (n = 10) as autism symptoms [C: AUT (GI-After) vs. AUT (GI-Before/Same), Mann-Whitney, p = 0.028; AUT (GI-Before/Same) vs. Control-GI, Mann-Whitney, p = 0.015; AUT (GI-After) vs. Control-GI, Mann-Whitney, p = 0.808] [D: AUT (GI-After) vs. AUT (GI-Before/Same), Mann-Whitney, p = 0.020; AUT (GI-Before/Same) vs. Control-GI, Mann-Whitney, p = 0.011; AUT (GI-After) vs. Control-GI, Mann-Whitney, p = 0.685]. (E) Age at GI onset (in months) for AUT-GI and Control-GI patients, with AUT-GI stratified by whether GI onset occurred after (n = 5) the onset of autism symptoms or before and at the same time (n = 10) as autism symptoms [E: AUT (GI-After) vs. AUT (GI-Before/Same), Mann-Whitney, tied p = 0.007; AUT (GI-Before/Same) vs. Control-GI, Mann-Whitney, tied p = 0.757; AUT (GI-After) vs. Control-GI, Mann-Whitney, tied p = 0.027]. *, p<0.05; **, p<0.01; n.s., not significant.
Figure 6 Levels of Clostridiales members in AUT-GI patients stratified by timing of GI onset. (A–B) Abundance of Clostridiales from ileal (A) and cecal (B) biopsies from AUT-GI and Control-GI patients (n = 7), with AUT-GI stratified by whether the onset of GI symptoms occurred after (n = 5) the onset of autism symptoms (GI-After) or before and at the same time (n = 10) as autism symptoms (GI-Before/Same). [A: AUT (GI-After) vs. AUT (GI-Before/Same), Mann-Whitney, p = 0.028; AUT (GI-Before/Same) vs. Control-GI, Mann-Whitney, p = 0.015; AUT (GI-After) vs. Control-GI, Mann-Whitney, p = 0.935] [B: AUT (GI-After) vs. AUT (GI-Before/Same), Mann-Whitney, p = 0.037; AUT (GI-Before/Same) vs. Control-GI, Mann-Whitney, p = 0.019; AUT (GI-After) vs. Control-GI, Mann-Whitney, p = 0.935]. (C–D) Cumulative abundance of Lachnospiraceae and Ruminococcaceae from ileal (C) and cecal (D) biopsies from AUT-GI and Control-GI patients (n = 7), with AUT-GI stratified by whether the onset of GI symptoms occurred after (n = 5) the onset of autism symptoms or before and at the same time (n = 10) as autism symptoms [C: AUT (GI-After) vs. AUT (GI-Before/Same), Mann-Whitney, p = 0.028; AUT (GI-Before/Same) vs. Control-GI, Mann-Whitney, p = 0.015; AUT (GI-After) vs. Control-GI, Mann-Whitney, p = 0.808] [D: AUT (GI-After) vs. AUT (GI-Before/Same), Mann-Whitney, p = 0.020; AUT (GI-Before/Same) vs. Control-GI, Mann-Whitney, p = 0.011; AUT (GI-After) vs. Control-GI, Mann-Whitney, p = 0.685]. (E) Age at GI onset (in months) for AUT-GI and Control-GI patients, with AUT-GI stratified by whether GI onset occurred after (n = 5) the onset of autism symptoms or before and at the same time (n = 10) as autism symptoms [E: AUT (GI-After) vs. AUT (GI-Before/Same), Mann-Whitney, tied p = 0.007; AUT (GI-Before/Same) vs. Control-GI, Mann-Whitney, tied p = 0.757; AUT (GI-After) vs. Control-GI, Mann-Whitney, tied p = 0.027]. *, p<0.05; **, p<0.01; n.s., not significant.CC BY · PubMed Central
Figure 7 A model for GI disease in children with autism. A) Schematic representation of enterocyte-mediated digestion of disaccharides and transport of monosaccharides in the small intestine. Disaccharidases (SI, MGAM, and LCT) in the enterocyte brush border break down disaccharides into their component monosaccharides. The monosaccharides, glucose and galactose, are transported from the small intestinal lumen into enterocytes by the sodium-dependent transporter SGLT1. On the basolateral enterocyte membrane, GLUT2, transports glucose, galactose, and fructose out of enterocytes and into the circulation. The expression levels of disaccharidases and hexose transporters may be controlled, in part, by the transcription factor CDX2. B) In the normal small intestine, where expression of disaccharidases and hexose transporters are high, nearly all disaccharides are efficiently digested and monosaccharides are absorbed from the lumen. C) In the AUT-GI intestine, where expression of disaccharidases and hexose transporters are deficient, mono- and disaccharides accumulate in the lumen of the ileum and cecum resulting in dysbiosis, diarrhea, bloating, and flatulence.
Figure 7 A model for GI disease in children with autism. A) Schematic representation of enterocyte-mediated digestion of disaccharides and transport of monosaccharides in the small intestine. Disaccharidases (SI, MGAM, and LCT) in the enterocyte brush border break down disaccharides into their component monosaccharides. The monosaccharides, glucose and galactose, are transported from the small intestinal lumen into enterocytes by the sodium-dependent transporter SGLT1. On the basolateral enterocyte membrane, GLUT2, transports glucose, galactose, and fructose out of enterocytes and into the circulation. The expression levels of disaccharidases and hexose transporters may be controlled, in part, by the transcription factor CDX2. B) In the normal small intestine, where expression of disaccharidases and hexose transporters are high, nearly all disaccharides are efficiently digested and monosaccharides are absorbed from the lumen. C) In the AUT-GI intestine, where expression of disaccharidases and hexose transporters are deficient, mono- and disaccharides accumulate in the lumen of the ileum and cecum resulting in dysbiosis, diarrhea, bloating, and flatulence.CC BY · PubMed Central

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Authors
Williams, B. L., Hornig, M., Buie, T., Bauman, M. L., Cho Paik, M., Wick, I., Bennett, A., Jabado, O., Hirschberg, D. L., & Lipkin, W. I.
Affiliations
  • Columbia University (US)
  • Massachusetts General Hospital (US)
  • Harvard University (US)
Corresponding author
Lipkin, W. Ian
Venue
PLoS ONE
Published
2011-09-16
Volume
6
Issue
9
Pages
e24585
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2005365566
Cited by
492
References
96
Citations by year
2026: 10 · 2025: 34 · 2024: 25 · 2023: 31 · 2022: 41 · 2021: 46 · 2020: 38 · 2019: 52 · 2018: 45 · 2017: 21 · 2016: 31 · 2015: 37 · 2014: 32 · 2013: 28 · 2012: 19
FWCI
10.51
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Figshare (submittedVersion, cc-by)
Funders
  • U.S. Department of Defense
  • National Institutes of Health
  • National Institute of Neurological Disorders and Stroke (NS 047537, U01NS047537)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
  • Health Sciences › Medicine › Gastroenterology › Gastrointestinal motility and disorders
Keywords
autism spectrum disorder, gastrointestinal diseases, carbohydrate digestion, disaccharidases, hexose transporters, intestinal gene expression, CDX2, Firmicutes/Bacteroidetes ratio, Betaproteobacteria, Bacteroidetes, enterocytes
MeSH terms
Autistic Disorder, Biological Transport, Child, Preschool, Clostridium, Digestion, Female, Food Hypersensitivity, Gastrointestinal Diseases, Humans, Ileum, Infant, Intestinal Mucosa, Male, RNA, Bacterial, RNA, Messenger, RNA, Ribosomal, 16S, Time Factors, Comorbidity, Membrane Transport Proteins, Carbohydrate Metabolism, Metagenomics, Transcriptome

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