Different Efficacy of Five Soluble Dietary Fibers on Alleviating Loperamide-Induced Constipation in Mice: Influences of Different Structural Features

From BugSigDB
Needs review
study design
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
Authors
Zhang Z, Liu B, Liu W, Liu X, Zhang C, Hu W, Wu W
Journal
International journal of molecular sciences
Year
2025
Keywords:
constipation, defecation function, gut microbiota, short-chain fatty acid, soluble dietary fiber, structural difference
Different dietary fibers have distinct structures, leading to significant variations in their laxative effects. To explore how these structural differences impact constipation intervention, a 14-day study was conducted on loperamide-induced constipated mice using five dietary fibers: soluble dietary fiber from steamed sweet potato (SDF-S), oat β-glucan (OB), polydextrose (PD), arabinogalactan (AG), and inulin (IN). The results showed that four fibers, excluding PD, significantly improved gastrointestinal (GI) transit rate (p < 0.05), although PD had the highest fecal moisture, it was significantly different from the lowest IN (p < 0.05). AG and IN resulted in higher 6 h fecal weights compared to other fibers. SDF-S and OB were more effective in modulating serum levels of gastrointestinal hormones. The different monosaccharide compositions and glycosidic bonds of these fibers led to distinct changes in gut microbiota composition and SCFA profiles. Galactose and arabinose in AG were linked to increased abundance of Lachnospiraceae_UCG-006, Bacteroides, and Odoribacter, promoting butyrate fermentation, which is positively correlated with GI transit rate. Glucose in SDF-S, OB, and PD favored acetate fermentation positively correlated with fecal moisture. Fructose in IN encouraged the proliferation of Muribaculaceae_unclassified and Ruminococcus, associated with butyrate fermentation and increased 6 h stool weight, respectively. The β-glycosidic bonds in OB may lead to high butyrate production through the selective proliferation of Lachnospiraceae_unclassified. Minor components like fucose, rhamnose, and ribose were positively correlated with the abundance of Oscillospiraceae_unclassified, Anaerotignum, and Lachnospiraceae_unclassified. In conclusion, the unique monosaccharide compositions and glycosidic bond differences in dietary fibers selectively promote the proliferation of fiber-degrading and butyrate-producing bacteria, resulting in varied effects on constipation relief.

Experiment 1


Needs review

Curated date: 2025/04/08

Curator: Thelee98

Revision editor(s): Thelee98

Subjects

Location of subjects
China
Host species Species from which microbiome was sampled. Contact us to have more species added.
Mus musculus
Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology
Caecum Blind intestine,Blindgut,Caeca,Caecum,Ceca,Cecum,Intestinum caecum,Intestinum crassum caecum,Intestinum crassum cecum,caecum
Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
Constipation Constipation,Costiveness,Dyschezia,constipation
Group 0 name Corresponds to the control (unexposed) group for case-control studies
Normal control group (NC)
Group 1 name Corresponds to the case (exposed) group for case-control studies
Model control group (MC)
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Male ICR mice subjected to loperamide to induce constipation without any treatment intervention which served as a comparison point to evaluate the effectiveness of the dietary fibers and other treatments.
Group 0 sample size Number of subjects in the control (unexposed) group
12
Group 1 sample size Number of subjects in the case (exposed) group
12

Lab analysis

Sequencing type
16S
16S variable region One or more hypervariable region(s) of the bacterial 16S gene
V3-V4
Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance
Illumina

Statistical Analysis

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
relative abundances
Statistical test
ANOVA
Significance threshold p-value or FDR threshold used for differential abundance testing (if any)
0.05
MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?
No
Matched on Factors on which subjects have been matched on in a case-control study
age, body weight
Confounders controlled for Confounding factors that have been accounted for by stratification or model adjustment
Confounders controlled for: "GI transit rate" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.GI transit rate, Confounders controlled for: "Stool weight" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.Stool weight, Confounders controlled for: "Stool moisture" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.Stool moisture

Alpha Diversity

Pielou Quantifies how equal the community is numerically
increased
Shannon Estimator of species richness and species evenness: more weight on species richness
increased
Chao1 Abundance-based estimator of species richness
increased
Simpson Estimator of species richness and species evenness: more weight on species evenness
increased
Richness Number of species
increased

Signature 1

Needs review

Curated date: 2025/04/15

Curator: Thelee98

Revision editor(s): Thelee98

Source: Figures 4A-4L

Description: Relative Abundance of genera in the gut microbiota of mice

Abundance in Group 1: increased abundance in Model control group (MC)

NCBI Quality ControlLinks
Mucispirillum
Oscillibacter
unclassified Oscillospiraceae
unclassified Ruminococcaceaeunclassified Ruminococcaceae
unclassified Desulfovibrionaceae
Intestinimonas
unclassified Lachnospiraceae
unclassified firmicutesunclassified firmicutes
Clostridium
Anaerotignum

Revision editor(s): Thelee98

Signature 2

Needs review

Curated date: 2025/04/15

Curator: Thelee98

Revision editor(s): Thelee98

Source: Figures 4B,D,F,G,J-L

Description: Relative Abundance of genera in the gut microbiota of mice

Abundance in Group 1: decreased abundance in Model control group (MC)

NCBI Quality ControlLinks
Alistipes
Oscillibacter
Ruminococcus
unclassified oscillospiracaceaeunclassified oscillospiracaceae
unclassified ruminococcaceaeunclassified ruminococcaceae
Mucispirillum
Intestinimonas

Revision editor(s): Thelee98

Experiment 2


Needs review

Curated date: 2025/04/15

Curator: Thelee98

Revision editor(s): Thelee98

Differences from previous experiment shown

Subjects

Lab analysis

Statistical Analysis

Matched on Factors on which subjects have been matched on in a case-control study
Not specified
Confounders controlled for Confounding factors that have been accounted for by stratification or model adjustment
Not specified