The effects of psyllium husk on gut microbiota composition and function in chronically constipated women of reproductive age using 16S rRNA gene sequencing analysis

Study information

Needs review

study design

randomized controlled trial

Citation

PMID PubMed identifier for scientific articles.

34081625

DOI Digital object identifier for electronic documents.

10.18632/aging.203095

URI

Authors

Yang C, Liu S, Li H, Bai X, Shan S, Gao P, Dong X

Journal

Aging

Year

2021

Keywords:

16S rRNA gene sequencing, chronic constipation, gut microbiota, metabolism, women of reproductive age

Chronic constipation is a common gastrointestinal disorder that occurs in the elderly and in women. Psyllium husk is widely used to treat this condition. Recent studies have shown that psyllium husk can improve the clinical symptoms of constipation by regulating gut microbiota, but its clinical effects and potential mechanisms in constipated women of reproductive age have not been previously investigated. We compared fecal microbiota after treatment with placebo (n = 29) and psyllium husk (n = 25) using 16S ribosomal ribonucleic acid (rRNA) gene sequencing analysis. Psyllium husk relieved the symptoms of constipated women of reproductive age. Sequencing results showed that the psyllium husk group exhibited a different gut microbiota composition compared to that of the placebo group. Moreover, network analysis indicated more significant correlations and clustering of operational taxonomic units (OTUs) in the psyllium husk group. Kyoto Encyclopedia of Genes and Genomes (KEGG) annotation analysis showed that the relative abundances of metabolism-related KEGG pathways were enriched in the psyllium husk group. In conclusion, these findings suggest that the composition of gut microbiota was altered and that symptoms of constipation were alleviated via psyllium husk intervention. The changes in metabolic function might be related to constipation. Furthermore, these studies are warranted to elucidate the potential metabolic mechanisms contributing to chronic constipation.

Experiment 1

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Curated date: 2025/03/22

Curator: Vanisha1606

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Subjects

Location of subjects: China

Host species Species from which microbiome was sampled. Contact us to have more species added.: Homo sapiens

Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology: Feces Cow dung,Cow pat,Droppings,Dung,Excrement,Excreta,Faeces,Fecal material,Fecal matter,Fewmet,Frass,Guano,Matières fécales@fr,Merde@fr,Ordure,Partie de la merde@fr,Piece of shit,Porción de mierda@es,Portion of dung,Portion of excrement,Portion of faeces,Portion of fecal material,Portion of fecal matter,Portion of feces,Portion of guano,Portion of scat,Portionem cacas,Scat,Spoor,Spraint,Stool,Teil der fäkalien@de,Feces,feces

Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology: Chronic constipation Chronic constipation,Infrequent bowel movements,chronic constipation

Group 0 name Corresponds to the control (unexposed) group for case-control studies: Placebo group

Group 1 name Corresponds to the case (exposed) group for case-control studies: Psyllium husk group

Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group: Women of reproductive age (15–49 years) with chronic constipation who received psyllium husk intervention

Group 0 sample size Number of subjects in the control (unexposed) group: 29

Group 1 sample size Number of subjects in the case (exposed) group: 25

Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any): 1 month

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: LEfSe

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

LDA Score above Threshold for the linear discriminant analysis (LDA) score for studies using the popular LEfSe tool: 4

Matched on Factors on which subjects have been matched on in a case-control study: age, body mass index, irritable bowel syndrome, Matched on: "hard stool" 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.hard stool, Matched on: "pain with BMs" 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.pain with BMs, Matched on: "incomplete defecation" 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.incomplete defecation, Matched on: "digital maneuvering" 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.digital maneuvering, Matched on: "feeling of blockage" 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.feeling of blockage

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness: unchanged

Chao1 Abundance-based estimator of species richness: unchanged

Signature 1

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Curated date: 2025/03/25

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Source: Fig 4A

Description: This study examines how psyllium husk supplementation alters gut microbiota composition and function in chronically constipated women of reproductive age. Using 16S rRNA gene sequencing, the research identifies significant microbial shifts between the placebo and psyllium husk groups.

Abundance in Group 1: increased abundance in Psyllium husk group

NCBI	Quality Control	Links
Bifidobacterium longum
Faecalibacterium
Romboutsia ilealis
Streptococcus thermophilus

Revision editor(s): Vanisha1606

Signature 2

Edit History Delete

Mark reviewed

Your review change was submitted

Needs review

Curated date: 2025/03/25

Curator: Vanisha1606

Revision editor(s): Vanisha1606

Source: Fig 4A

Description: This study examines how psyllium husk supplementation alters gut microbiota composition and function in chronically constipated women of reproductive age. Using 16S rRNA gene sequencing, the research identifies significant microbial shifts between the placebo and psyllium husk groups

Abundance in Group 1: decreased abundance in Psyllium husk group

NCBI	Quality Control	Links
Bacteroides fragilis
Enterobacteriaceae
Lactobacillus
Megamonas
Paraprevotella

Revision editor(s): Vanisha1606