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Updated: Dec 12, 2025

Applying Advanced In Vitro Culturing Technology to Study the Human Gut Microbiota
Published on: February 15, 2019
Analysis of Gut Microbiome and Metabolite Characteristics in Patients with Slow Transit Constipation
Hongliang Tian1, Qiyi Chen2, Bo Yang1
1Intestinal Microenvironment Treatment Center of General Surgery, Shanghai Tenth People's Hospital, Tenth People's Hospital of Tongji University, No. 301 Yanchang Middle Road, Jing'an District, Shanghai, China.
Background:
Slow transit constipation (STC) is a type of functional constipation in which colon transit time is extended as a result of a reduction in the high amplitude of colon contraction activity. The utility of gut microbiome and metabolite characteristics in patients with STC is rarely studied. Short-chain fatty acids (SCFAs) enhance colonic fluid and sodium absorption and thus may aggravate the symptoms of STC. However, the content and role of SCFAs in constipation patients are not clear. We speculate that gut microbiome and SCFAs in the colon of STC patients may be abnormal and linked to the underlying mechanism of STC.
Methods:
This observational study is registered at ClinicalTrials.gov (NCT02984969). The high-throughput sequencing was used to analyze the diversity and composition of fecal microbial communities. Gas chromatography-mass spectrometry (GC-MS) was used to determine the properties and concentrations of the SCFAs in the two groups.
Results:
The Shannon diversity and Simpson diversity of the gut microbiome were significantly greater in the STC group than the control group. The two groups also showed significant differences in the species composition of the gut microbiome at different classification levels. The results of GC-MS showed that the acetate concentrations in the STC group were significantly reduced compared with the control group, but the other five types of SCFAs and total SCFAs showed no significant difference between groups. ROC curve analyses revealed that the AUC of Acetate (AUC = 0.758) was higher than Propionate (AUC = 0.660). The largest AUC of gut microbiome for predicting STC was Prevotella (AUC = 0.807). Correlation analysis showed a positive correlation between the concentration of Ruminococcus and Disease history (rs = 0.519). Meanwhile, a positive correlation between the concentration of Roseburia and Acetate (rs = 0.606) or Butyrate (rs = 0.543) was found.
Conclusion:
We found significant differences between the STC and control groups in the main components of the gut microbiome, with greater diversity in the STC group and differences between the groups in species composition at different classification levels. These different microbiome and metabolite may be valuable biomarkers for STC.
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