Disease
Microbiota ☳
Metabolome
Factor
Ruminococcaceae ⇒ Ruminococcus {10000246}
Record Keys
Parent:
Definition: Ruminococcus
Details
Initialisation date: 2020-09-25
Meta Information
Rank:
Domain:
Zone: [ ]
Enzyme: [ ]
Function: Mucin-degrading, Fibrosis-triggering, Anti-inflammatory, Pro-inflamatory
Notes: Shared Reference Notes
[1.1 ] [#Amyotrophic lateral sclerosis ] Ruminococcus , at genus level > related to higher risk of ALS.
- #kynurenine > risk factor of ALS.
[1.2 ] [#Colitis , #Crohn’s disease ] [#Candida tropicalis ] #Akkermansia muciniphila and Ruminococcus gnavus > leading to altered tight junction protein expression with increased intestinal permeability > followed by induction of robust Th1/Th17 responses > lead to an accelerated proinflammatory phenotype in experimental colitic mice.
[1.3 ] [#Lactobacillus paracasei ] #Fibrosis -triggering microbial populations in the cecum as mucolytic bacteria : the species #Mucispirillum schaedleri , the genus Ruminococcus , and the genus #Anaeroplasma , and in the ileum, such as the genera #Streptococcus and Lactobacillus.
[1.4 ] #Beta-glucan fibers
- #Bifidobacterium , #Butyricicoccus , #Collinsella , Ruminococcus 2, and #Dialister were characteristic candidate bacterias of the group that consumed large amounts of barley.
- The relationship between #Barley consumption and #Bifidobacterium remained after adjusting for disease and dietary habits, and that of #Butyricicoccus remained after adjusting for disease.
- Network and cluster analyses revealed that #Barley consumption was directly correlated with #Bifidobacterium and #Butyricicoccus .
[1.5 ] [#Parkinson’s Disease ] #Clostridiales bacterium NK3B98 and Ruminococcus sp AM07-15, significantly correlated with decreased fecal levels and increased plasma levels of SCFAs, especially #Propionic acid .
[1.6 ] #Akkermansia , Ruminococcus , or #Faecalibacterium genera, which are all comprised of mucin-degrading SCFA-producing commensals.
[1.7 ] [#Gallstone Disease ] Ruminococcus spp., another important butyrate producing bacteria, significantly decreased in patients with CGSs from the present study. Some authors recently proposed that these bacteria to be considered markers for distinguishing patients with GSD from healthy controls.
[1.8 ] [#Asthma ] [#Children ] #Bifidobacterium , #Faecalibacterium , Ruminococcus , and #Roseburia ) are associated with childhood respiratory diseases.
[1.9 ] [#Irritable bowel syndrome ] Ruminococcus to be increased in IBS patients, suggesting even a potential role as a biomarker of this disorder
[#Vegetarian diet ] - Dominant species in vegetarians are Ruminococcus , #Roseburia , and #Eubacterium .
[1.11 ] [#Inflamatory bowel disease ] [#Short Chain Fatty Acid ] #Roseburia , #Eubacterium , #Subdoligranumum , Ruminococcus
- an increase in pro-inflammatory pathogens #Proteus , #Finegoldia
- an increase of other minor SCFA producers such as #Ezakiella , #Anaerococcus , #Megasphaera , #Anaeroglobus , #Fenollaria .
- Further aggravation of clinical signs is significantly linked to the subsequent loss of these minor SCFAs species and to an increase in other proinflammatory Proteobacteria such as Klebsiella, Pseudomonas, Salmonella, Acinetobacter, Hafnia and proinflammatory Firmicutes such as Staphylococcus, Enterococcus, Streptococcus.
[1.12 ] [#Crohn’s disease ] [#Clostridium cluster IV ] #Roseburia , #Gemmiger , #Coprococcus , Ruminococcus 2, #Butyricicoccus , #Dorea , #Fusicatenibacter , #Anaerostipes , Clostridium IV were enriched in the healthy controls.
- #Blautia , Clostridium IV, #Coprococcus , #Dorea , #Fusicatenibacter continued to significantly decrease in early and advanced CD patients, and Escherichia/Shigella and Proteus continued to significantly increase.
- negative correlation between #Dorea , #Butyricicoccus , #Roseburia and gland reduce, #Roseburia and FC, #Butyricicoccus and goblet cells decreased, Parabacterodies and sex, Clostridium IV and CRP, #Dorea and ESR .
- positive correlation between Escherichia/Shigella and CRP, Ruminococcus 2 and clinical symptoms.
[1.13 ] #Butyrate -producing bacteria such as #Clostridium , Ruminococcus , #Faecalibacterium spp., #Eubacterium spp., and #Roseburia , were found to decrease in relative frequency in CRC patients.
- #Butyrate inhibited the growth of CRC cells and induced their apoptosis in vitro at pharmacologically high concentrations.
[1.14 ] [#Diabetes Type 2 ] #Alistipes , #Anaerostipes , Ruminococcus was detected in the T2D group.
[1.15 ] [#Bacteroides barnesiae , #Dorea formicigenerans ] #Rice bran > increase genera Ruminoccocus, Dorea, and Bacteroides
[1.16 ] [#Bipolar disorder , #Major depressive disorder ] #Enterococcus , #Flavonifractor , and #Streptococcus , and lower #Faecalibacterium and Ruminococcus .
[1.17 ] [#High-protein diet ] #Clostridium , #Desulfovibrio , #Peptostreptococcus , #Acidaminococcus , #Veillonella , #Propionibacterium , Bacillus, #Bacteroides , #Staphylococcus , and other species of the #Proteobacteria family, and the loss of carbohydrate fermenting bacteria such as #Bacteroides , #Lactobacillus , #Bifidobacterium , #Prevotella , Ruminococcus , #Roseburia , and #Faecalibacterium .
[1.18 ] [#Mild Cognitive Impairment ] Ruminococcus sp. CAG:330 to #Bacteroides fragilis CAG: 47 is consistently elevated in MCI
[1.19 ] [#Soybean ] #Lactobacilli and Ruminococus in rats
[#Inflamatory bowel disease ] - transient blooms of pro-inflammatory Ruminococcus have been associated with active flare-ups in IBD.
- Enriched Ruminococcus is associated with #Irritable bowel syndrome (IBS).
[1.21 ] [#Diabetes Type 2 ] [#Resistant starch ] Ruminococcus was shown to possess an exceptional ability to colonize and degrade #Starch particles, which in turn alleviates insulin resistance.
[#Fusobacterium varium ] - #Lachnospiraceae bacterium and members of Ruminococcus and #Fusobacterium species, including #Fusobacterium ulcerans and #Fusobacterium varium, were found to be enriched in patients with #Obesity
Author: MetaBiomIdentifier: 10000246URL: https://www.metabiom.org/microbiota/141/ruminococcusKeywords: Microbiome, Dysbiosis, Microbiota, Organism, Bacteria
Common References
[1.1 ] Investigating Casual Associations among Gut Microbiota, Metabolites and Neurodegenerative Diseases: A Mendelian Randomization Study 80002088 ]
[1.2 ] Candida tropicalis Infection Modulates the Gut Microbiome and Confers Enhanced Susceptibility to Colitis in Mice 80002208 ]
[1.3 ] Gut Microbiome and Organ Fibrosis 80002265 ]
[1.4 ] Relationships between barley consumption and gut microbiome characteristics in a healthy Japanese population: a cross-sectional study 80002365 ]
[1.5 ] Association of Fecal and Plasma Levels of Short-Chain Fatty Acids With Gut Microbiota and Clinical Severity in Patients With Parkinson Disease 80002410 ]
[1.6 ] Sleep and the Gut Microbiome in Psoriasis: Clinical Implications for Disease Progression and the Development of Cardiometabolic Comorbidities 80002413 ]
[1.7 ] Gallstone Disease and Bacterial Metabolic Performance of Gut Microbiota in Middle-Aged and Older Patients 80002433 ]
[1.8 ] The association between early-life gut microbiota and childhood respiratory diseases: a systematic review 80002550 ]
[1.9 ] Gut microbiota signatures and modulation in irritable bowel syndrome 80002578 ]
[1.10 ] Correlation between human gut microbiome and diseases 80002594 ]
[1.11 ] Gut microbiota analysis for prediction of clinical relapse in Crohn’s disease 80002707 ]
[1.12 ] Gut microbiota in the early stage of Crohn’s disease has unique characteristics 80002734 ]
[1.13 ] Microbial Metabolite Dysbiosis and Colorectal Cancer 80002741 ]
[1.14 ] Variation of butyrate production in the gut microbiome in type 2 diabetes patients 80002763 ]
[1.15 ] An open label, non-randomized study assessing a prebiotic fiber intervention in a small cohort of Parkinson’s disease participants 80002769 ]
[1.16 ] Microbiota–gut–brain axis mechanisms in the complex network of bipolar disorders: potential clinical implications and translational opportunities 80002837 ]
[1.17 ] Gut-Muscle Axis Exists and May Affect Skeletal Muscle Adaptation to Training 80002842 ]
[1.18 ] Effects of a ketogenic and low‐fat diet on the human metabolome, microbiome, and foodome in adults at risk for Alzheimer’s disease 80002874 ]
[1.19 ] Soy and Gastrointestinal Health: A Review 80002876 ]
[1.20 ] Gut Microbiome: Profound Implications for Diet and Disease 80002909 ]
[1.21 ] Dysbiosis Signatures of Gut Microbiota Along the Sequence from Healthy, Young Patients to Those with Overweight and Obesity 80002922 ]
[1.22 ] Inflammatory skin is associated with changes in the skin microbiota composition on the back of severe acne patients 80001127 ]
[1.23 ] Alterations in the gut microbiota of patients with acquired immune deficiency syndrome 80000714 ]
[1.24 ] Sex-specific associations of infants’ gut microbiome with arsenic exposure in a US population 80000820 ]
[1.25 ] Lower airway microbiota and mycobiota in children with sever asthma 80001065 ]
[1.26 ] Gut microbiota features in young children with autism spectrum disorders 80000980 ]
[1.27 ] Altered diversity and composition of the gut microbiome in patients with cervical cancer 80000943 ]
[1.28 ] Hepatocellular carcinoma is associated with gut microbiota profile and inflammation in nonalcoholic fatty liver disease 80000791 ]
[1.29 ] Altered gut microbiota composition in subjects infected with Clonorchis sinensis 80000846 ]
[1.30 ] Decreased fecal bacterial diversity and altered microbiome in children colonized with Clostridium difficile 80000958 ]
[1.31 ] Molecular characterization of mucosal adherent bacteria and associations with colorectal adenomas 80000590 ]
[1.32 ] Gut microbiota and host gene mutations in colorectal cancer patients and controls of Iranian and Finnish origin 80001320 ]
[1.33 ] Tumour-associated and non-tumour-associated microbiota in colorectal cancer. 80000455 ]
[1.34 ] Structural changes in the gut microbiome of constipated patients 80000505 ]
[1.35 ] A pyrosequencing study in twins shows that gastrointestinal microbial profiles vary with inflammatory bowel disease phenotypes 80000284 ]
[1.36 ] Gut microbiota differs in composition and functionality between children with type 1 diabetes and MODY2 and healthy control subjects: a case-control study 80000812 ]
[1.37 ] Altered composition of the gut microbiome in patients with drug-resistant epilepsy. 80000921 ]
[1.38 ] Potential contribution of the uterine microbiome in the development of endometrial cancer. 80000482 ]
[1.39 ] Oral microbiome profiling in smokers with and without head and neck cancer reveals variations between health and disease 80001326 ]
[1.40 ] Featured gut microbiomes associated with the progression of chronic hepatitis B disease 80001369 ]
[1.41 ] Gut microbiome analysis as a tool towards targeted non-invasive biomarkers for early hepatocellular carcinoma 80000859 ]
[1.42 ] Altered gut microbiota and host metabolite profiles in women with human immunodeficiency virus 80001298 ]
[1.43 ] Aberrant gut microbiota alters host metabolome and impacts renal failure in humans and rodents 80001376 ]
[1.44 ] Characterization of the gut microbiota of Kawasaki disease patients by metagenomic analysis 80000556 ]
[1.45 ] Microbiota stratification identifies disease-specific alterations in neuro-Behcet’s disease and multiple sclerosis 80001269 ]
[1.46 ] Gut microbiota profiling of pediatric nonalcoholic fatty liver disease and obese patients unveiled by an integrated meta-omics-based approach 80000626 ]
[1.47 ] The severity of Nonalcoholic Fatty Liver Disease is associated with gut dysbiosis and shift in the metabolic function of the gut microbiota 80000625 ]
[1.48 ] Gut microbiota altered in mild cognitive impairment compared with normal cognition in sporadic Parkinson’s disease 80001370 ]
[1.49 ] Early-onset preeclampsia is associated with gut microbial alterations in antepartum and postpartum women 80001138 ]
[1.50 ] The gut microbiota, bile acids and their correlation in primary sclerosing cholangitis associated with inflammatory bowel disease 80000678 ]
[1.51 ] Characterization of intestinal microbiota in ulcerative colitis patients with and without primary sclerosing cholangitis 80000753 ]
[1.52 ] Intestinal microbiota profiling and predicted metabolic dysregulation in psoriasis patients 80000895 ]
[1.53 ] Comparison of the ocular microbiome between chronic Stevens-Johnson syndrome patients and healthy subjects 80001339 ]
[1.54 ] Stool microbiota composition in patients with stomach, colon, and rectal neoplasms 80000819 ]
[1.55 ] Alterations of urinary microbiota in type 2 Diabetes Mellitus with hypertension and/or hyperlipidemia 80000661 ]
[1.56 ] Dysbiosis of the gut microbiome is associated with thyroid cancer and thyroid nodules and correlated with clinical index of thyroid function 80001043 ]
[1.57 ] Analysis of endoscopic brush samples identified mucosa-associated dysbiosis in inflammatory bowel disease 80000679 ]
[1.58 ] Patients with acne vulgaris have a distinct gut microbiota in comparison with healthy controls 80000937 ]
[1.59 ] Emerging Roles for the Gut Microbiome in Lymphoid Neoplasms 80002486 ]
[1.60 ] Subgingival dysbiosis in smoker and non-smoker patients with chronic periodontitis 80000444 ]
[1.61 ] Characterization of intestinal microbiota in alcoholic patients with and without alcoholic hepatitis or chronic alcoholic pancreatitis 80000689 ]
[1.62 ] Gut microbiota compositional and functional fingerprint in patients with alcohol use disorder and alcohol-associated liver disease 80001386 ]
[1.63 ] Altered microbiomes distinguish Alzheimer’s disease from amnestic mild cognitive impairment and health in a Chinese cohort 80001073 ]
[1.64 ] Gut inflammation and dysbiosis in human motor neuron disease 80000667 ]
[1.65 ] Fecal microbiota in patients with ankylosing spondylitis: correlation with dietary factors and disease activity 80001054 ]
[1.66 ] Microbiota in anorexia nervosa: the triangle between bacterial species, metabolites and psychological tests 80000755 ]
[1.67 ] Distinctive subpopulations of the intestinal microbiota are present in women with unexplained chronic anovulation 80000927 ]
[1.68 ] Gut microbiota changes in patients with bipolar depression 80001106 ]
[1.69 ] High-throughput 16S rRNA gene sequencing reveals alterations of intestinal microbiota in myalgic encephalomyelitis/chronic fatigue syndrome patients. 80000272 ]
[1.70 ] Altered gut microbiota and microbial biomarkers associated with chronic kidney disease 80000867 ]
[1.71 ] Alterations of the human gut microbiome in liver cirrhosis 80000668 ]
[1.72 ] Potential of fecal microbiota for early-stage detection of colorectal cancer 80000814 ]
[1.73 ] Reduced abundance of butyrate-producing bacteria species in the fecal microbial community in Crohn’s Disease. 80000250 ]
[1.74 ] Fungal dysbiosis in mucosa-associated microbiota of Crohn’s disease patients 80000760 ]
[1.75 ] Alterations in Fecal Microbiomes and Serum Metabolomes of Fatigued Patients With Quiescent Inflammatory Bowel Diseases 80001418 ]
[1.76 ] Gestational diabetes is associated with change in the gut microbiota composition in third trimester of pregnancy and postpartum 80001104 ]
[1.77 ] Alterations in the intestinal microbiota of patients with severe and active Graves’ orbitopathy: a cross-sectional study 80000930 ]
[1.78 ] The gut microbiota of hand, foot and mouth disease patients demonstrates down-regulated butyrate-producing bacteria and up-regulated inflammation-inducing bacteria 80000902 ]
[1.79 ] Microbiome and bile acid profiles in duodenal aspirates from patients with liver cirrhosis: the microbiome, microbial markers and liver disease study 80000781 ]
[1.80 ] Gut microbial dysbiosis is associated with altered hepatic functions and serum metabolites in chronic hepatitis B patients 80000704 ]
[1.81 ] Gut microbiome alterations in patients with stage 4 hepatitis C 80000613 ]
[1.82 ] HIV infection is associated with compositional and functional shifts in the rectal mucosal microbiota 80000337 ]
[1.83 ] A compositional look at the human gastrointestinal microbiome and immune activation parameters in HIV infected subjects. 80000332 ]
[1.84 ] The gut microbiome in epilepsy 80001252 ]
[1.85 ] Altered intestinal microbiota and blood T cell phenotype are shared by patients with Crohn’s disease and their unaffected siblings 80000486 ]
[1.86 ] Altered gut microbiota composition associated with eczema in infants 80000741 ]
[1.87 ] The microbiome of translocated bacterial populations in patients with and without inflammatory bowel disease 80000893 ]
[1.88 ] Alterations of microbiota in urine from women with interstitial cystitis 80000409 ]
[1.89 ] Alterations in the gut bacterial microbiome in fungal keratitis patients 80000884 ]
[1.90 ] 16S rRNA gene sequencing reveals altered composition of gut microbiota in individuals with kidney stones 80000675 ]
[1.91 ] Altered fecal microbiota composition in patients with major depressive disorder. 80000265 ]
[1.92 ] An altered composition of the microbiome in microscopic colitis is driven towards the composition in healthy controls by treatment with budesonide 80001213 ]
[1.93 ] Characterization of gut microbiomes in nonalcoholic steatohepatitis (NASH) patients: a connection between endogenous alcohol and NASH 80000566 ]
[1.94 ] Altered fecal microbiota correlates with liver biochemistry in nonobese patients with non-alcoholic fatty liver disease. 80000569 ]
[1.95 ] Structural changes of gut microbiota in Parkinson’s disease and its correlation with clinical features. 80000601 ]
[1.96 ] Metagenomics of Parkinson’s disease implicates the gut microbiome in multiple disease mechanisms 80002696 ]
[1.97 ] Posttraumatic stress disorder is associated with altered gut microbiota that modulates cognitive performance in veterans with cirrhosis 80001243 ]
[1.98 ] Fungi participate in the dysbiosis of gut microbiota in patients with primary sclerosing cholangitis 80000990 ]
[1.99 ] Decreased bacterial diversity characterizes an altered gut microbiota in psoriatic arthritis and resembles dysbiosis of inflammatory bowel disease. 80000525 ]
[1.100 ] Altered gut microbiota in Rett syndrome 80000534 ]
[1.101 ] Alterations of gut microbiome in the patients with severe fever with thrombocytopenia syndrome 80000848 ]
[1.102 ] Connection between the Gut Microbiome, Systemic Inflammation, Gut Permeability and FOXP3 Expression in Patients with Primary Sjögren’s Syndrome 80001479 ]
[1.103 ] Dialister as a microbial marker of disease activity in Spondyloarthritis 80000453 ]
[1.104 ] High‐fat diet promotes prostate cancer growth through histamine signaling 80002397 ]
[1.105 ] Dysbiosis in the gut bacterial microbiome of patients with Uveitis, an inflammatory disease of the eye 80000796 ]
[1.106 ] An Almond-Based Low Carbohydrate Diet Improves Depression and Glycometabolism in Patients with Type 2 Diabetes through Modulating Gut Microbiota and GLP-1: A Randomized Controlled Trial 80001462 ]
[1.107 ] A complete guide to human microbiomes: Body niches, transmission, development, dysbiosis, and restoration 80002487 ]
[1.108 ] Diet, obesity, and the gut microbiome as determinants modulating metabolic outcomes in a non-human primate model 80001840 ]
[1.109 ] Metformin Reduces Aging-Related Leaky Gut and Improves Cognitive Function by Beneficially Modulating Gut Microbiome/Goblet Cell/Mucin Axis 80000214 ]
[1.110 ] Long-term dietary patterns are associated with pro-inflammatory and anti-inflammatory features of the gut microbiome 80002121 ]
[1.111 ] Temporospatial shifts in the human gut microbiome and metabolome after gastric bypass surgery 80002685 ]
[1.112 ] Long-term daily high-protein, drained yoghurt consumption alters abundance of selected functional groups of the human gut microbiota and fecal short-chain fatty acid profiles in a cohort of overweight and obese women 80002459 ]
[1.113 ] Targeting the Gut Microbiome to Mitigate Immunotherapy-Induced Colitis in Cancer 80001734 ]
