Mucosa-Associated Microbiota in Patients with Irritable Bowel Syndrome: A Comparison of Subtypes

Matsumoto, Hiroshi; Shiotani, Akiko; Katsumata, Ryo; Fukushima, Shinya; Handa, Yukiko; Osawa, Motoyasu; Murao, Takahisa; Handa, Osamu; Umegaki, Eiji; Inoüe, Ryo; Naito, Yuji

doi:10.1159/000512167

Cited by 22 publications

(15 citation statements)

References 27 publications

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“…Animal models and case studies of patients have shown that members of the Erysipelotrichaceae family are significantly increased in a number of inflammatory conditions [ 47 ], such as irritable bowel syndrome [ 48 ], colorectal cancer [ 47 ], and rheumatoid arthritis with anti-citrullinated protein autoantibodies [ 49 ], suggesting a pro-inflammatory effect of this bacterial family on the host. Previous studies report an association between abundance of Erysipelotrichaceae family members and host lipidemic profile, particularly relating to cholesterol levels [ 47 ].…”

Section: Discussionmentioning

confidence: 99%

Gut microbiome diversity and composition is associated with hypertension in women

Louca

Nogal

Wells

et al. 2021

Journal of Hypertension

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Objectives Animal studies support a role for the gut microbiota in hypertension development, but large human studies are lacking. Here we investigated the relationship between hypertension prevalence and gut microbial composition in two cohorts. Methods We included 871 unrelated TwinsUK females with faecal microbiome data (16s rRNA gene sequencing). Multivariable linear models adjusted for age, age 2 and BMI as well as MiRKAT models, were used to estimate the association of hypertension with alpha- and beta-diversity metrics. To identify taxa associated with hypertension, a generalized additive model for location scale and shape was computed adjusting for covariates and multiple testing. Results were replicated in 448 women from PREDICT-1 Results We found that measures of alpha diversity are significantly lower in hypertensive cases (Beta[95%CI] = -0.05[-0.095, -0.004], p=0.03) and a significant association between beta diversity and hypertension (FDR < 0.05). We identified and replicated 2 genera associated with hypertension. The genus, Ruminiclostridium 6 was less abundant in hypertension cases (meta-analysis[95%CI] = -0.31[-0.5; -0.13], p = 1x10 -3 ). The uncultured microbe Erysipelotrichacea-UCG003 was more abundant in hypertensive cases (meta-analysis[95%CI] = 0.46[0.3, 0.62], p=1x10 -4 ). We genomically analysed the 16s rRNA sequence and established a 100% identity match with the 16s rRNA sequence of the genus Faecalibacillus . We functionally annotated Ruminiclostridium , identifying 83 metabolic pathways, including pathways previously linked to blood pressure regulation. Conclusion In this large human observation, we show that gut microbiome diversity and composition are associated with hypertension. Our results suggest that targeting the microbiome may be a novel means to prevent or treat hypertension.

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Section: Discussionmentioning

confidence: 99%

Gut microbiome diversity and composition is associated with hypertension in women

Louca

Nogal

Wells

et al. 2021

Journal of Hypertension

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“…Mucosal samples were obtained under BAE by gently brushing the mucosal surfaces with a COOK medical endoscopy cytology brush (Cook Medical, Tokyo, Japan) [5]. BAE was performed by experienced endoscopists using the Fujinon double-balloon endoscopy system (Fuji Photo Optical, Saitama, Japan).…”

Section: Methodsmentioning

confidence: 99%

“…The human gastrointestinal (GI) tract contains approximately 10–100 trillion bacteria from 500 to 1,000 distinct species collectively known as gut microbiota [1]. The composition of the gut microbiota affects human health and is involved in the pathology of various diseases, not only GI diseases such as GI malignant tumor [2], inflammatory bowel disease [3], and functional GI disorders [4, 5] but also ranging from metabolic disease and inflammatory diseases to behavioral and physiological abnormalities such as autism spectrum disorder [6]. These organisms can alter the metabolic profile of the host, including its carbohydrate, amino acid, and lipid metabolism [7].…”

Section: Introductionmentioning

confidence: 99%

The Compositional Structure of the Small Intestinal Microbial Community via Balloon-Assisted Enteroscopy

Nagasue¹,

Hirano²,

Torisu³

et al. 2022

Digestion

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Introduction: An association has been found between human-gut microbiota and various diseases (e.g., metabolic disease) by analyzing fecal or colonic microbiota. Despite the importance of the small intestinal microbiota, sampling difficulties prevent its full analysis. We investigated the composition and metagenomic functions of microbiota along the small intestine and compared them with the microbiota from feces and from other gastrointestinal (GI) sites. Methods: Mucosal samples from the six GI sites (stomach, duodenum, distal jejunum, proximal ileum, terminal ileum, and rectum) were collected under balloon-assisted enteroscopy. Fecal samples were collected from all participants. The microbial structures and metagenomic functions of the small intestinal mucosal microbiota were compared with those from feces and other GI sites using 16S ribosomal RNA gene sequencing. Results: We analyzed 133 samples from 29 participants. Microbial beta diversity analysis showed that the jejunum and ileum differed significantly from the lower GI tract and the feces (p < 0.001). Jejunal and duodenal microbiotas formed similar clusters. Wide clusters spanning the upper and lower GI tracts were observed with the ileal microbiota, which differed significantly from the jejunal microbiota (p < 0.001). Veillonella and Streptococcus were abundant in the jejunum but less so in the lower GI tract and feces. The metagenomic functions associated with nutrient metabolism differed significantly between the small intestine and the feces. Conclusions: The fact that the compositional structures of small intestinal microbiota differed from those of fecal and other GI microbiotas reveals that analyzing the small intestinal microbiota is necessary for association studies on metabolic diseases and gut microbiota.

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“… 9 MAM reflects mucosal barrier function more directly than fecal microbiota and is reportedly involved in the pathogenesis of many diseases, such as intestinal diseases like inflammatory bowel disease and extraintestinal diseases including liver disease. 21 , 22 , 23 , 24 , 25 The overgrowth of MAM is associated with the pathogenesis of primary biliary cirrhosis. 26 This study analyzed the characteristics of MAM in early‐stage NAFLD and the differences between fecal microbiota and MAM.…”

Section: Discussionmentioning

confidence: 99%

“…In contrast, the gut microbiota consists of the luminal microbiota (including fecal microbiota) and MAM (present in the intestinal mucosa) 9 . MAM reflects mucosal barrier function more directly than fecal microbiota and is reportedly involved in the pathogenesis of many diseases, such as intestinal diseases like inflammatory bowel disease and extraintestinal diseases including liver disease 21‐25 . The overgrowth of MAM is associated with the pathogenesis of primary biliary cirrhosis 26 .…”

Section: Discussionmentioning

confidence: 99%

Constitution of mucosa‐associated microbiota in the lower digestive tract does not change in early stage of non‐alcoholic fatty liver disease with fecal dysbiosis

et al. 2022

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Background and Aim Regarding the gut–liver axis, fecal dysbiosis is implicated in the pathogenesis of non‐alcoholic fatty liver disease (NAFLD). The significance of mucosa‐associated microbiota (MAM, which is present in the mucin layer covering the intestinal mucosa) has not been well explored. We aimed to clarify the characteristics of MAM in patients with NAFLD. Methods MAM were obtained from seven patients with early‐stage NAFLD and seven controls by colonoscopy in five locations (terminal ileum, cecum, ascending and sigmoid colon, and rectum) using mucosal brushes. The microbial 16S rDNA profiles of the MAM and fecal microbiota of patients in the NAFLD and control groups were analyzed. Results α‐diversities of fecal microbiota were decreased in patients with NAFLD (observed species, Shannon index, and Chao1: 174.57 vs 134.86, 5.51 vs 4.65, and 206.34 vs 167.91; P = 0.048, 0.067, and 0.087, respectively), and microbial composition analyses by principal coordinate analysis differed between the fecal microbiota of patients with NAFLD and those of controls (permutational analysis of variance [PERMANOVA] of weighted and unweighted: Pseud‐ F : 1.4179/ P ‐value: 0.05 and Pseud‐ F : 2.1497/ P ‐value: 0.049, respectively). However, α‐diversities or microbial composition of MAM in most parts of the intestine did not differ significantly between the NAFLD and control groups. Unclassified Rikenellaceae , Oscillospira, Odoribacter, unclassified clostridiales , and Holdemania were decreased in the feces of patients with NAFLD (determined by linear discriminant analysis effect size), but five (except Holdemania ) of the six genera were not decreased in the MAM of these patients. Conclusion In early‐stage NAFLD, MAM was uniform and relatively stable throughout the intestine, even when fecal dysbiosis appeared.

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Mucosa-Associated Microbiota in Patients with Irritable Bowel Syndrome: A Comparison of Subtypes

Cited by 22 publications

References 27 publications

Gut microbiome diversity and composition is associated with hypertension in women

Gut microbiome diversity and composition is associated with hypertension in women

The Compositional Structure of the Small Intestinal Microbial Community via Balloon-Assisted Enteroscopy

Constitution of mucosa‐associated microbiota in the lower digestive tract does not change in early stage of non‐alcoholic fatty liver disease with fecal dysbiosis

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