Metagenomics Analysis Reveals Unique Gut Microbiota Signature of Slow-Transit Constipation.

Altered gut microbiota may play a role in slow-transit constipation (STC). We conducted a study of gut microbiota composition and functionality in STC using metagenomic analyses. We assembled a clinical cohort of 24 patients with STC physiology age- and sex-matched to 24 controls. We performed shotgun metagenomic sequencing followed by prediction of metabolite composition from functional profiles. In a middle-aged (mean 55.3 years), predominantly female cohort, there were no significant differences in α-diversity indices, but permutational multivariate analysis of variance analysis showed significant between-group differences (R 2 = 0.050, P < 0.001) between STC patients and controls. Gordonibacter pamelaeae , Bifidobacterium longum , Firmicutes bacterium co-abundance gene group 94, and Anaerotruncus colihominis were more abundant in STC, whereas Coprococcus comes and Roseburia intestinalis were more abundant in controls. Gut-derived metabolites varying in STC relative to controls were related to bile acid and cholesterol metabolism. We found a unique metagenomic and metabolomic signature of STC.

Han K ，Kuo B ，Khalili H ，Staller K ... -  《Clinical and Translational Gastroenterology》

Analysis of Gut Microbiome and Metabolite Characteristics in Patients with Slow Transit Constipation.

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. 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. 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. 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.

Tian H ，Chen Q ，Yang B ，Qin H ，Li N ... -  《-》

Abnormal bile acid metabolism is an important feature of gut microbiota and fecal metabolites in patients with slow transit constipation.

Destructions in the intestinal ecosystem are implicated with changes in slow transit constipation (STC), which is a kind of intractable constipation characterized by colonic motility disorder. In order to deepen the understanding of the structure of the STC gut microbiota and the relationship between the gut microbiota and fecal metabolites, we first used 16S rRNA amplicon sequencing to evaluate the gut microbiota in 30 STC patients and 30 healthy subjects. The α-diversity of the STC group was changed to a certain degree, and the β-diversity was significantly different, which indicated that the composition of the gut microbiota of STC patients was inconsistent with healthy subjects. Among them, Bacteroides, Parabacteroides, Desulfovibrionaceae, and Ruminiclostridium were significantly upregulated, while Subdoligranulum was significantly downregulated. The metabolomics showed that different metabolites between the STC and the control group were involved in the process of bile acids and lipid metabolism, including taurocholate, taurochenodeoxycholate, taurine, deoxycholic acid, cyclohexylsulfamate, cholic acid, chenodeoxycholate, arachidonic acid, and 4-pyridoxic acid. We found that the colon histomorphology of STC patients was significantly disrupted, and TGR5 and FXR were significantly downregulated. The differences in metabolites were related to changes in the abundance of specific bacteria and patients' intestinal dysfunction. Analysis of the fecal genomics and metabolomics enabled separation of the STC from controls based on random forest model prediction [STC vs. control (14 gut microbiota and metabolite biomarkers)-Sensitivity: 1, Specificity: 0.877]. This study provided a perspective for the diagnosis and intervention of STC related with abnormal bile acid metabolism.

Fan Y ，Xu C ，Xie L ，Wang Y ，Zhu S ，An J ，Li Y ，Tian Z ，Yan Y ，Yu S ，Liu H ，Jia B ，Wang Y ，Wang L ，Yang L ，Bian Y ... -  《Frontiers in Cellular and Infection Microbiology》

Relationship Between Microbiota of the Colonic Mucosa vs Feces and Symptoms, Colonic Transit, and Methane Production in Female Patients With Chronic Constipation.

In fecal samples from patients with chronic constipation, the microbiota differs from that of healthy subjects. However, the profiles of fecal microbiota only partially replicate those of the mucosal microbiota. It is not clear whether these differences are caused by variations in diet or colonic transit, or are associated with methane production (measured by breath tests). We compared the colonic mucosal and fecal microbiota in patients with chronic constipation and in healthy subjects to investigate the relationships between microbiota and other parameters. Sigmoid colonic mucosal and fecal microbiota samples were collected from 25 healthy women (controls) and 25 women with chronic constipation and evaluated by 16S ribosomal RNA gene sequencing (average, 49,186 reads/sample). We assessed associations between microbiota (overall composition and operational taxonomic units) and demographic variables, diet, constipation status, colonic transit, and methane production (measured in breath samples after oral lactulose intake). Fourteen patients with chronic constipation had slow colonic transit. The profile of the colonic mucosal microbiota differed between constipated patients and controls (P < .05). The overall composition of the colonic mucosal microbiota was associated with constipation, independent of colonic transit (P < .05), and discriminated between patients with constipation and controls with 94% accuracy. Genera from Bacteroidetes were more abundant in the colonic mucosal microbiota of patients with constipation. The profile of the fecal microbiota was associated with colonic transit before adjusting for constipation, age, body mass index, and diet; genera from Firmicutes (Faecalibacterium, Lactococcus, and Roseburia) correlated with faster colonic transit. Methane production was associated with the composition of the fecal microbiota, but not with constipation or colonic transit. After adjusting for diet and colonic transit, the profile of the microbiota in the colonic mucosa could discriminate patients with constipation from healthy individuals. The profile of the fecal microbiota was associated with colonic transit and methane production (measured in breath), but not constipation.

Parthasarathy G ，Chen J ，Chen X ，Chia N ，O'Connor HM ，Wolf PG ，Gaskins HR ，Bharucha AE ... -  《-》

Effect of fecal microbiota transplantation in patients with slow transit constipation and the relative mechanisms based on the protein digestion and absorption pathway.

Fecal microbiota transplantation (FMT) is considered an effective treatment for slow transit constipation (STC); nevertheless, the mechanism remains unclear. In this study, eight patients with STC were selected according to the inclusion and exclusion criteria; they then received three treatments of FMT. The feces and serum of STC patients were collected after each treatment and analyzed by integrating 16 s rRNA microbiome and metabolomic analyses. The results showed that the percentage of clinical improvement reached 62.5% and the rates of patients' clinical remission achieved 75% after the third treatment. At the same time, FMT improved the Wexner constipation scale (WCS), the Gastrointestinal Quality-of-Life Index (GIQLI) and Hamilton Depression Scale (HAMD). Fecal microbiome alpha diversity and beta diversity altered significantly after FMT. Analysis of the 16 s rRNA microbiome showed that the numbers of Bacteroidetes (Prevotell/Bacteroides) and Firmicute (Roseburia/Blautia) decreased, whereas Actinobacteria (Bifidobacterium), Proteobacteria (Escherichia), and Firmicute (Lactobacillus) increased after FMT. The metabolomics analyses showed that the stool of FMT-treated patients were characterized by relatively high levels of N-Acetyl-L-glutamate, gamma-L-glutamyl-L-glutamic acid, Glycerophosphocholine, et al., after FMT. Compared with baseline, the serum of treated patients was characterized by relatively high levels of L-Arginine, L-Threonine, Ser-Arg, Indoleacrylic acid, Phe-Tyr, 5-L-Glutamyl-L-alanine, and lower levels of Erucamide after the treatment. The correlation analysis between the metabolites and gut microbiota showed a significant correlation. For example, L-Arginine was positively correlated with lactobacillus, et al. L-Threonine was positively correlated with Anaerovibrio, Sediminibacterium but negatively correlated with Phascolarctobacterium. Erucamide had significant negative correlations with Sediminibacterium and Sharpea, while being positively correlated with Phascolarctobacterium. Enriched KEGG pathways analysis demonstrated that the protein digestion and absorption pathways gradually upregulated with the increase of FMT frequency. The L-Arginine and L-Threonine were also involved in the pathway. A large amount of Na + was absorbed in the pathway, so that it might increase mucus secretion and electrical excitability of GI smooth muscle. Therefore, we speculated that FMT changed the patients' gut microbiota and metabolites involved in the protein digestion and absorption pathways, thereby improving the symptoms of STC. Study on the effectiveness and safety of FMT in the treatment of STC. The study was reviewed and approved by Ethics Committee of Tianjin People's Hospital (ChiCTR2000033227) in 2020.

Xie L ，Xu C ，Fan Y ，Li Y ，Wang Y ，Zhang X ，Yu S ，Wang J ，Chai R ，Zhao Z ，Jin Y ，Xu Z ，Zhao S ，Bian Y ... -  《Journal of Translational Medicine》