Comparison of Batch Culture Growth and Fermentation of a PoultryVeillonellaIsolate and SelectedVeillonellaSpecies Grown in a Defined Medium

Durant, J.A.; Nisbet, David J.; Ricke, Steven C.

doi:10.1006/anae.1997.0129

Cited by 7 publications

(5 citation statements)

References 30 publications

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“…Our result of the Veillonella count is also consistent with that of a study showing that IBS patients have a higher count of Veillonella than controls 11 . Veillonella is known to transform lactic acid into acetic acid and propionic acid, 38 so our results strongly suggest that increased Lactobacillus and Veillonella counts result in the production of higher levels of acetic acid and propionic acid from gut lumen nutrients in IBS patients. In this study, simultaneous measurement of fecal microbiota and organic acid levels enabled us to identify the link between intestinal microorganisms and their products in IBS patients.…”

Section: Discussionsupporting

confidence: 91%

Altered profiles of intestinal microbiota and organic acids may be the origin of symptoms in irritable bowel syndrome

Tana

Umesaki

Imaoka

et al. 2009

Neurogastroenterology &Amp; Motility

319

316

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Section: Discussionsupporting

confidence: 91%

Altered profiles of intestinal microbiota and organic acids may be the origin of symptoms in irritable bowel syndrome

Tana

Umesaki

Imaoka

et al. 2009

Neurogastroenterology &Amp; Motility

319

316

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“…With regard to SCFA synthesis, 24 species secreted acetate, 7 species secreted butyrate including 3 major butyrate producers ( Faecalibacterium , Eubacterium , Fusobacterium ), and 13 species secreted propionate including 3 major propionate producers ( Bacteroides , Veillonella , Parabacteroides ). While the SCFA synthesis capabilities of the genera Bacteroides , Faecalibacterium and Eubacterium are well documented [ 51 , 52 ], the other SCFA predictions also appear to be consistent with experimental studies [ 53 , 54 ].…”

Section: Resultssupporting

confidence: 59%

Suboptimal community growth mediated through metabolite crossfeeding promotes species diversity in the gut microbiota

Henson

Phalak

2018

PLoS Comput Biol

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The gut microbiota represent a highly complex ecosystem comprised of approximately 1000 species that forms a mutualistic relationship with the human host. A critical attribute of the microbiota is high species diversity, which provides system robustness through overlapping and redundant metabolic capabilities. The gradual loss of bacterial diversity has been associated with a broad array of gut pathologies and diseases including malnutrition, obesity, diabetes and inflammatory bowel disease. We formulated an in silico community model of the gut microbiota by combining genome-scale metabolic reconstructions of 28 representative species to explore the relationship between species diversity and community growth. While the individual species offered a broad range of metabolic capabilities, communities optimized for maximal growth on simulated Western and high-fiber diets had low diversities and imbalances in short-chain fatty acid (SCFA) synthesis characterized by acetate overproduction. Community flux variability analysis performed with the 28-species model and a reduced 20-species model suggested that enhanced species diversity and more balanced SCFA production were achievable at suboptimal growth rates. We developed a simple method for constraining species abundances to sample the growth-diversity tradeoff and used the 20-species model to show that tradeoff curves for Western and high-fiber diets resembled Pareto-optimal surfaces. Compared to maximal growth solutions, suboptimal growth solutions were characterized by higher species diversity, more balanced SCFA synthesis and lower exchange rates of crossfed metabolites between more species. We hypothesized that modulation of crossfeeding relationships through host-microbiota interactions could be an important means for maintaining species diversity and suggest that community metabolic modeling approaches that allow multiobjective optimization of growth and diversity are needed for more realistic simulation of complex communities.

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“…For example study by Tana et al [32] observed the altered profile of intestinal microbiota, especially Lactobacilli and Veillonella ; and unbalanced fecal organic acid levels in IBS. Lactobacilli produce lactic acid and acetic acid from glucose and fructose by a fermentation process [33], while Veillonella transform lactic acid into acetic acid and propionic acid [34]. The data showing altered composition of gut microbiota in IBS is mounting and studies are needed to explore the relationship of this altered microbiota with fecal VOMs in correlation with symptoms of IBS.…”

Section: Discussionmentioning

confidence: 99%

An Investigation of Fecal Volatile Organic Metabolites in Irritable Bowel Syndrome

et al. 2013

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Diagnosing irritable bowel syndrome (IBS) can be a challenge; many clinicians resort to invasive investigations in order to rule out other diseases and reassure their patients. Volatile organic metabolites (VOMs) are emitted from feces; understanding changes in the patterns of these VOMs could aid our understanding of the etiology of the disease and the development of biomarkers, which can assist in the diagnosis of IBS. We report the first comprehensive study of the fecal VOMs patterns in patients with diarrhea-predominant IBS (IBS-D), active Crohn's disease (CD), ulcerative colitis (UC) and healthy controls. 30 patients with IBS-D, 62 with CD, 48 with UC and 109 healthy controls were studied. Diagnosis of IBS-D was made using the Manning criteria and all patients with CD and UC met endoscopic, histologic and/or radiologic criteria. Fecal VOMs were extracted by solid phase microextraction (SPME) and analyzed by gas chromatography-mass spectrometry (GC-MS). 240 VOMs were identified. Univariate analysis showed that esters of short chain fatty acids, cyclohexanecarboxylic acid and its ester derivatives were associated with IBS-D (p<0.05), while aldehydes were more abundant in IBD (p<0.05). A predictive model, developed by multivariate analysis, separated IBS-D from active CD, UC and healthy controls with a sensitivity of 94%, 96% and 90%; and a specificity of 82%, 80% and 80% respectively (p<0.05). The understanding of the derivation of these VOMs may cast light on the etiology of IBS-D and IBD. These data show that fecal VOMs analyses could contribute to the diagnosis of IBS-D, for which there is no laboratory test, as well as IBD.

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Comparison of Batch Culture Growth and Fermentation of a PoultryVeillonellaIsolate and SelectedVeillonellaSpecies Grown in a Defined Medium

Cited by 7 publications

References 30 publications

Altered profiles of intestinal microbiota and organic acids may be the origin of symptoms in irritable bowel syndrome

Altered profiles of intestinal microbiota and organic acids may be the origin of symptoms in irritable bowel syndrome

Suboptimal community growth mediated through metabolite crossfeeding promotes species diversity in the gut microbiota

An Investigation of Fecal Volatile Organic Metabolites in Irritable Bowel Syndrome

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