The rectal mucosal but not fecal microbiota detects subclinical ulcerative colitis

Abstract

Ulcerative colitis (UC), a subtype of inflammatory bowel disease, is characterized by repetitive remission and relapse. Gut microbiome is critically involved in pathogenesis of UC. The shifts in microbiome profile during disease remission remain under-investigated. Recent studies revealed that UC pathogenesis is likely to originate in the mucosal barrier. Therefore, we investigated the effectiveness of mucosal tissue microbiomes to differentiate patients with subclinical UC from healthy individuals. The microbiomes of cecal and rectal biopsies and feces were characterized from 13 healthy individuals and 45 patients with subclinical UC. Total genomic DNA was extracted from the samples, and their microbial communities determined using next-generation sequencing. We found that changes in relative abundance of subclinical UC were marked by a decrease in Proteobacteria and an increase in Bacteroidetes phyla in microbiome derived from rectal tissues but not cecal tissue nor feces. Only in the microbiome of rectal tissue had significantly higher community richness and evenness in subclinical UC patients than controls. Twenty-seven operational taxonomic units were enriched in subclinical UC cohort with majority of the taxa from the Firmicutes phylum. Inference of putative microbial functional pathways from rectal biopsy microbiome suggested a differential increase in interleukin-17 signaling and T-helper cell differentiation pathways. Rectal biopsy tissue was suggested to be more suitable than fecal samples for microbiome assays to distinguish patients with subclinical UC from healthy adults. Assessment of the rectal biopsy microbiome may offer clinical insight into UC disease progression and predict relapse of the diseases.

Proton Pump Inhibitor-Induced Gut Dysbiosis Increases Mortality Rates for Patients with Clostridioides difficile Infection

“…The diversity and species richness of fecal microbiota were determined from the number of bacterial species assigned by the ASVs. Linear discriminant analysis effect size (LEfSe) ( 45 , 46 ) was used to identify the taxonomy of fecal bacteria that were most likely to distinguish between cases of PPI user and nonuser and between cases of survivor and victim.…”

Dietary spinach reshapes the gut microbiome in an Apc-mutant genetic background: mechanistic insights from integrated multi-omics

“…19,20 The Pirc model had a higher abundance of Bacteroidetes and Proteobacteria than WT rats, while Firmicutes, Actinobacteria, and Tenericutes were lower (Figure 2d), as observed in mouse and human microbiomes. [21][22][23][24] Based on fold-change in abundance, SPI intake decreased Proteobacteria and Tenericutes, and increased Verrucomicrobia (Figure 2e). Changes also were noted at the Family (Figure 2f) and genus level (Figure 2g).…”

mbDriver: identifying driver microbes in microbial communities based on time-series microbiome data

“…These microbes were likely influential in shaping the in the microbial community associated with the UC disease state. Both Lachnospiraceae and Ruminococcaceae have been reported to be associated with UC [54,56]. In the UC2 group, the drivers responded to the interference conditions were Enterobacteriaceae, Acidaminococcaceae, Ruminococcaceae, Prevotellaceae and…”