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Cited by 182Gut microbiota and healthGastrointestinal motility and disordersClostridium difficile and Clostridium perfringens research

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Unveiling the gut microbiota composition and functionality associated with constipation through metagenomic analyses

Open access
Mancabelli, Leonardo, Milani, Christian, Lugli, Gabriele Andrea, Turroni, Francesca, Mangifesta, Marta, Viappiani, Alice, Ticinesi, Andrea, Nouvenne, Antonio, Meschi, Tiziana, van Sinderen, Douwe, Ventura, Marco·2017·Scientific Reports
DOI 10.1038/s41598-017-10663-wPMC PMC5575163
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Abstract

Functional constipation (FC) is a gastrointestinal disorder with a high prevalence among the general population. The precise causes of FC are still unknown and are most likely multifactorial. Growing evidence indicates that alterations of gut microbiota composition contribute to constipation symptoms. Nevertheless, many discrepancies exist in literature and no clear link between FC and gut microbiota composition has as yet been identified. In this study, we performed 16 S rRNA-based microbial profiling analysis of 147 stool samples from 68 FC individuals and compared their microbial profiles with those of 79 healthy subjects (HS). Notably, the gut microbiota of FC individuals was shown to be depleted of members belonging to Bacteroides, Roseburia and Coprococcus 3 . Furthermore, the metabolic capabilities of the gut microbiomes of five FC and five HS individuals were evaluated through shotgun metagenomics using a MiSeq platform, indicating that HS are enriched in pathways involved in carbohydrate, fatty acid and lipid metabolism as compared to FC. In contrast, the microbiomes corresponding to FC were shown to exhibit high abundance of genes involved in hydrogen production, methanogenesis and glycerol degradation. The identified differences in bacterial composition and metabolic capabilities may play an important role in development of FC symptoms.

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Crossref · 10.1038/s41598-017-10663-w

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Figure 1 Evaluation of the alpha- and beta-diversity in the 147 analyzed samples. Panel a reports the average rarefaction curves based on the Chao1 and Shannon index at increasing sequencing depth of FC and HS samples. Panel b shows the predicted PCoA through two three-dimensional images and two-dimensional sections. FC and HS datasets and corresponding clusters are colored in blue and red, respectively.
Figure 1 Evaluation of the alpha- and beta-diversity in the 147 analyzed samples. Panel a reports the average rarefaction curves based on the Chao1 and Shannon index at increasing sequencing depth of FC and HS samples. Panel b shows the predicted PCoA through two three-dimensional images and two-dimensional sections. FC and HS datasets and corresponding clusters are colored in blue and red, respectively.CC BY · PubMed Central
Figure 2 Exploration of the diversity in HS and FC groups. The bar plot reports only genera with an absolute percentage difference between HS and FC averages >0.1% and a p-value < 0.05, evaluated by means of ANOVA statistical analysis. The table indicates the bacterial genera, the relative abundance and the prevalence of each group, the relative percentage difference and the p-value.
Figure 2 Exploration of the diversity in HS and FC groups. The bar plot reports only genera with an absolute percentage difference between HS and FC averages >0.1% and a p-value < 0.05, evaluated by means of ANOVA statistical analysis. The table indicates the bacterial genera, the relative abundance and the prevalence of each group, the relative percentage difference and the p-value.CC BY · PubMed Central
Figure 3 Functional characterization of FC and HS microbiomes. The bar plot shows the relative difference between the average abundance in HS and FC subjects of each pathway displaying ANOVA with p-value < 0.05.
Figure 3 Functional characterization of FC and HS microbiomes. The bar plot shows the relative difference between the average abundance in HS and FC subjects of each pathway displaying ANOVA with p-value < 0.05.CC BY · PubMed Central
Figure 4 Co-variance network of bacterial genera and metabolic pathways with statistically significant difference in abundance between FC and HS subjects. Panel a shows a force-driven network based on the predicted co-variances with p-values < 0.05 between the genera and metabolic pathways identified as statistically altered in FC as compared to HS. Panel b reports a force-driven network based on the predicted co-variances with p-values < 0.05 between genera and metabolic pathways putatively involved in FC development. Co-variances with p-values < 0.05 are used to define the attractive or repulsive force of the edges. The node size is proportional to the number of co-variances. Node color indicates phylum or pathway category as reported in the image. The taxonomy, i.e. bacterial genera, of the nodes is indicated with number, as listed in the table.
Figure 4 Co-variance network of bacterial genera and metabolic pathways with statistically significant difference in abundance between FC and HS subjects. Panel a shows a force-driven network based on the predicted co-variances with p-values < 0.05 between the genera and metabolic pathways identified as statistically altered in FC as compared to HS. Panel b reports a force-driven network based on the predicted co-variances with p-values < 0.05 between genera and metabolic pathways putatively involved in FC development. Co-variances with p-values < 0.05 are used to define the attractive or repulsive force of the edges. The node size is proportional to the number of co-variances. Node color indicates phylum or pathway category as reported in the image. The taxonomy, i.e. bacterial genera, of the nodes is indicated with number, as listed in the table.CC BY · PubMed Central

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Authors
Mancabelli, L., Milani, C., Lugli, G. A., Turroni, F., Mangifesta, M., Viappiani, A., Ticinesi, A., Nouvenne, A., Meschi, T., van Sinderen, D., & Ventura, M.
Affiliations
University of Parma (IT)
Corresponding author
Ventura, Marco
ORCID
Venue
Scientific Reports
Publisher
Springer Science and Business Media LLC
Published
2017-08-29
Volume
7
Issue
1
Pages
9879-9879
ISSN
2045-2322 (ISSN-L)
DOI
10.1038/s41598-017-10663-w
PMC
PMC5575163
OpenAlex
W2748998801
Cited by
182
References
48
Citations by year
2026: 15 · 2025: 26 · 2024: 28 · 2023: 23 · 2022: 29 · 2021: 21 · 2020: 18 · 2019: 16 · 2018: 5 · 2017: 1
FWCI
4.45
Type
journal article
Language
en
Open access
Licence
Locations
  • Scientific Reports (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Arrow@dit (Dublin Institute of Technology) (submittedVersion, cc-by)
  • HAL (submittedVersion)
  • Cork Open Research Archive (University College Cork, Ireland) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • Institutional Research Information System University of Ferrara (University of Ferrara) (submittedVersion)
Funders
  • Fondazione Cariparma
  • Joint Programming Initiative A healthy diet for a healthy life
  • Science Foundation Ireland (SFI/12/RC/, 12/RC/2273, 12/RC/, SFI/12/RC/2273.)
  • Ministero dell’Istruzione, dell’Università e della Ricerca
  • Università degli Studi di Parma
  • APC Microbiome Institute (SFI/12/RC/2273)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Health Sciences › Medicine › Gastroenterology › Gastrointestinal motility and disorders
  • Health Sciences › Medicine › Infectious Diseases › Clostridium difficile and Clostridium perfringens research
Keywords
functional constipation, gut microbiota, microbial community composition, microbial metabolic pathways, Bacteroides, Roseburia, carbohydrate metabolism, fatty acid metabolism, lipid metabolism, hydrogen production, methanogenesis, glycerol degradation, 16S rRNA gene profiling, shotgun metagenomics
MeSH terms
Gastrointestinal Microbiome, Constipation, Gene Amplification, Humans, RNA, Ribosomal, 16S, Case-Control Studies, Metagenome, Metagenomics

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