Comparison of sampling methods in assessing the microbiome from patients with ulcerative colitis

• Published in: BMC gastroenterology Vol. 21; no. 1; pp. 396 - 13
• Main Authors: Kim, Dan, Jung, Jun-Young, Oh, Hyun-Seok, Jee, Sam-Ryong, Park, Sung Jae, Lee, Sang-Heon, Yoon, Jun-Sik, Yu, Seung Jung, Yoon, In-Cheol, Lee, Hong Sub
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 22.10.2021; BioMed Central; BMC
• Subjects: Adult; Age; Aged; Biopsy; Blood tests; Colitis, Ulcerative; Colon; Colon lavage; Colonoscopy; Diagnosis; Discriminant analysis; Disease; Dysbacteriosis; Dysbiosis; Endoscopy; Female; Gastroenterology; Gastrointestinal Microbiome; Health aspects; Humans; Inflammatory bowel disease; Lavage; Male; Medical screening; Microbiome; Microbiomes; Microbiota; Microbiota (Symbiotic organisms); Middle Aged; Mucosa; Next-generation sequencing; Polyethylene glycol; RNA, Ribosomal, 16S - genetics; rRNA 16S; Teaching hospitals; Ulcerative colitis; Variance analysis; Veganism; South Korea; Japan; Inflammatory bowel disease; Colonoscopy; Colon lavage; Microbiome; Ulcerative colitis
• ISSN: 1471-230X; 1471-230X
• DOI: 10.1186/s12876-021-01975-3

Dysbiosis of ulcerative colitis (UC) has been frequently investigated using readily accessible stool samples. However, stool samples might insufficiently represent the mucosa-associated microbiome status. We hypothesized that luminal contents including loosely adherent luminal bacteria after bowel preparation may be suitable for diagnosing the dysbiosis of UC. This study included 16 patients with UC (9 men and 7 women, mean age: 52.13 ± 14.09 years) and 15 sex- and age-matched healthy individuals (8 men and 7 women, mean age: 50.93 ± 14.11 years). They donated stool samples before colonoscopy and underwent luminal content aspiration and endoscopic biopsy during the colonoscopy. Then, the composition of each microbiome sample was analyzed by 16S rRNA-based next-generation sequencing. The microbiome between stool, luminal contents, and biopsy was significantly different in alpha and beta diversities. However, a correlation existed between stool and luminal contents in the Procrustes test (p = 0.001) and Mantel test (p = 0.0001). The stool microbiome was different between patients with UC and the healthy controls. Conversely, no difference was found in the microbiome of luminal content and biopsy samples between the two subject groups. The microbiome of stool and lavage predicted UC, with AUC values of 0.85 and 0.81, respectively. The microbiome of stool, luminal contents, and biopsy was significantly different. However, the microbiome of luminal contents during colonoscopy can predict UC, with AUC values of 0.81. Colonoscopic luminal content aspiration analysis could determine microbiome differences between patients with UC and the healthy control, thereby beneficial in screening dysbiosis via endoscopy. This trial was registered at http://cris.nih.go.kr . Registration No.: KCT0003352), Date: 2018-11-13.