Disease
Microbiota ☳
Metabolome
Factor
Lachnospiraceae ⇒ Roseburia {10000139}
Record Keys
Parent:
Definition: Roseburia
Details
Initialisation date: 2019-08-11
Meta Information
Rank:
Domain:
Zone: [ ]
Enzyme: [ ]
Function: Anti-inflammatory
Notes: Shared Reference Notes
[1.1 ] Roseburia , was found to be reduced in IBD.
- It had the highest correlations occurring in a number of bile acids (e.g., taurocholate, taurochenodeoxycholate, glycocholate), in addition to several triacylglycerols (TAGs) and fatty acids.
- Specifically, the short chain fatty acid (SCFA) butyrate was found to be positively associated with Roseburia abundance, consistent with known butyrate production in the Roseburia genus.
- Roseburia has a known anti-inflammatory role in the intestine and it’s positive association with butyrate is consistent with a deficiency in this genus being highly predictive of IBD.
[1.2 ] [#Carbohydrate diet ] Roseburia spp., fare better when they are delivered #Polysaccharide growth substrates in the diet
[1.3 ] [#Saturated fatty acids (SFAs) ] Roseburia , a biomarker for the lean group.
[1.4 ] [#Therapeutic drugs ] Roseburia
[1.5 ] #Protein powder consumption > decrease in #Lachnospiraceae , Roseburia , #Blautia , Synergistales, #Coprococcus , #Lactobacillales , Bacilli, #Bifidobacterium longum and #Firmicutes .
- #Protein powder consumption > higher abundance of #Bacteroidetes .
[1.6 ] [#Psychogenic erectile dysfunction ] #Alloprevotella .
- Erectile dysfunction > increased #Streptococci and #Subdoligranulum
- Erectile dysfunction > decreased #Prevotella sp.9, #Blautia , #Lachnospiraceae NK4A136 groups and Roseburia .
[1.7 ] [#Parkinson’s Disease ] #Prevotellaceae (Prevotella), #Ruminococcaceae (#Faecalibacterium ), #Lachnospiraceae (#Blautia , Roseburia ) that produce SCFA and help in the synthesis of mucin to maintain the intestinal integrity are considerably lower in abundance in PD
[1.8 ] [#Omega 3 ] [#Omega 3 Supplementation ] Roseburia may also be enhanced by omega-3 fatty acids in nuts, as its relative abundance was increased in humans as a result of both a walnut-supplemented diet and a diet with the same fatty-acid composition without walnuts
[1.9 ] [#Parkinson’s Disease ] #Butyrate and reduced counts of genera Roseburia , #Romboutsia , and #Prevotella are related to depressive symptoms in PD patients.
- Decreased levels of bacterially produced #Butyrate are related to epigenetic changes in leucocytes and neurons from PD patients and to the severity of their depressive symptoms.
[#Asthma ] [#Children ] - low α-diversity and relative abundance of particular gut-commensal bacteria genera (#Bifidobacterium , #Faecalibacterium , #Ruminococcus , and Roseburia ) are associated with childhood respiratory diseases.
[1.11 ] [#Vegetarian diet ] #Ruminococcus , Roseburia , and #Eubacterium .
[1.12 ] [#Infants , #Mother-infant ] #Eubacterium , Roseburia , and #Blautia .
[1.13 ] [#Parkinson’s Disease ] [#Short Chain Fatty Acid ] Roseburia species.
[1.14 ] [#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.
[1.15 ] [#Multiple Sclerosis ] [#Lipocalin-2 ] #Anaerobutyricum , #Blautia , and Roseburia , were reduced in fecal Lcn-2-high MS patients.
[1.16 ] [#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.
[1.17 ] #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.
[1.18 ] [#Diabetes Type 2 ] #Lachnospira , Roseburia , #Faecalibacterium and #Coprococcus genera in the T2D group.
- These genera were #Butyrate producers.
- The decrease of these genera favored #Obesity and the development of diseases.
[1.19 ] [#Bipolar disorder , #Major depressive disorder , #Schizophrenia ] #Escherichia /#Shigella and #Veillonella whereas increased #Megasphaera and lower Roseburia are common for BD and SZ.
[#High-protein diet ] - Excessive protein intake > causing the growth of protein fermenting bacteria as #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 .
[1.21 ] [#Crohn’s disease ] #Ruminococcus torques , #Blautia , #Colidextribacter , an uncultured genus-level group from Oscillospiraceace, and Roseburia .
[1.22 ] [#Alzheimer’s disease ] #Odoribacter and #Barnesiella and decreased proportions of #Eubacterium , Roseburia , #Lachnoclostridium and #Collinsella were seen in elders with other #Dementia types than AD.
[1.23 ] [#Whole grains ] #Butyrate -producers (e.g., #Faecalibacterium , Roseburia , Butyriciococcus) were inversely associated with colonic transit time and/or faecal pH, while the mucin-degraders #Akkermansia and #Ruminococcaceae showed the opposite association.
[1.24 ] [#Acute lymphoblastic leukemia ] Roseburia , #Dialister , #Prevotella , #Faecalibacterium and #Anaerostipes showed reduced relative abundance in #Children with ALL at the time of diagnosis
[#Polysaccharide ] - #Cessation of breastfeeding initiates the transition towards an #Adult -like gut microbiome composition, which is characterized by expansion of Roseburia spp. and #Anaerostipes spp., restriction of #Lactobacillus spp. and a functional shift towards an increased capacity to degrade complex polysaccharides
- delayed maturation of the gut microbiome (characterized by reduced relative abundance of the genera Roseburia , #Dialister , #Prevotella , #Faecalibacterium and #Blautia and increased abundance of #Enterococcus ), as well as reduced stool levels of #Butyrate by the age of 12 months, is associated with aberrant immune responses and an increased risk of #Asthma diagnosis by the age of 5 years
[1.25 ] [#Faecalibacterium prausnitzii ] [#Aging ] #Frailty and #Sarcopenia > Lower abundance of F. prausnitzii, as well as members of the #Clostridiales class including #Eubacterium and Roseburia genera.
[#Immune checkpoint inhibitor ] - In multiple advanced #Melanoma datasets > Roseburia spp. associated with good response to ICI
[#Gestational fruit and vegetable consumption , #High fibre diet ] - Both total fibre and specific fruit and vegetable fibre intake, are associated with the relative abundance of bacteria of the Clostridia class in the gut microbiome, especially Roseburia genus
[1.26 ] #Antibiotic Therapy has a protective effect on #Blautia and Roseburia spp. levels
- #Blautia level has a tendency to normalize spontaneously after #Antibiotic Therapy .
[1.27 ] [#Systemic lupus erythematosus ] #IL-2 and #IL-6 .
- The abundance of Roseburia and #Faecalibacterium was inversely correlated with #IL-6 , the abundance of Roseburia had a negative correlation with #IL-2 , and the abundance of #Bacteroides had a positive correlation with #IL-2 .
[#Systemic lupus erythematosus ] - SLE > increased abundance of genera #Candidatus saccharimonas , #Desulfovibrio , #Odoribacter and Roseburia in mice treated with HCMVpp65 peptide is significantly correlated with lupus-like effects including enhanced levels of creatinine, proteinuria, glomerular damage and anti-dsDNA antibodies.
[1.28 ] [#High fibre diet ] #Clostridia class in the gut microbiome, especially Roseburia genus.
[1.29 ] [#Inflamatory bowel disease ] [#Faecalibacterium prausnitzii ] #Firmicutes bacteria belonging to the #Ruminococcaceae spp., #Lachnospiraceae spp, F. prausnitzii and Roseburia spp. families is a signature of microbial dysbiosis in IBD.
[#Clostridiales XIV , #Clostridium cluster IV ] - #Walnut consumption at 42 g/day, increased #Butyrate -producing #Clostridium clusters XIV and IV including, #Faecalibacterium , Roseburia , while lowering the relative abundance of #Ruminococcus , #Dorea , Oscilllo, #Bifidobacteria .
[#Almond ] - almonds (dose of 42 g/day) > increase in the relative amount of #Lachnospira , Roseburia , and #Dialister
[1.31 ] #Riboflavin supplementation increased the abundance of bacteria that cannot synthesize #Riboflavin , such as #Faecalibacterium prausnitzii and Roseburia spp.
- Higher intake was also associated with an increase in the abundance of #Prevotella spp.
[1.32 ] [#Ulcerative Colitis ] [#Short Chain Fatty Acid ] #Bacteria such as #Prevotella , Roseburia , #Lachnospiraceae , and #Ruminococcaceae .
[1.33 ] [#Pulmonary tubercolosis , #Tuberculosis ] #Parabacteroides , #Bacteroides , #Lachnoclostridium , and #Fusobacterium were markedly enhanced in the PTB group, while Roseburia , #Blautia , unidentified #Ruminococcaceae , #Bifidobacterium , #Romboutsia , and #Fusicatenibacter were enhanced in the HC group.
[1.34 ] #Melanoma had a higher alpha diversity, and a higher abundance of the genus Roseburia
[1.35 ] [#Clostridium cluster IV , #Clostridium clusters XIVa ] [#Butyrate ] #Faecalibacterium prausnitzii , #Clostridium spp., #Eubacterium spp., and Roseburia spp., are from two clusters (#Clostridium clusters IV and XIVa) in the #Firmicutes phylum and the #Clostridiales order
[1.36 ] [#Parkinson’s Disease ] #Megasphaera and #Akkermansia , and reduced Roseburia in PD patients
[1.37 ] [#Lachnospiraceae ] [#Fiber-free diet ] #Butyrate -producing genera Lachnospiraceaea NK4A136 and Roseburia . Additionally, #Lactobacillus , which was also reduced in Fibre deprived mice
[1.38 ] [#Omega 3 ] #Subdoligranulum , along with other #Butyrate producers like #Anaerostipes , #Coprococcus , and Roseburia .
[#Juvenile idiopathic arthritis ] [#Roseburia hominis ] - In JIA > reduced #Anaerostipes , #Dialister , #Lachnospira , and Roseburia have been correlated with rheumatic clinical indices including antibodies, erythrocyte sedimentation rate (ESR) and clinical JIA disease activity score.
- #Dialister , #Lachnospira , and Roseburia (Roseburia hominis in 0% of ABISJIA) were three of five genera reduced in ABISJIA, as well as an ASV belonging to #Anaerostipes .
[1.39 ] [#Obesity ] #Firmicutes bacteria such as Ruminococci, Roseburia , and #Eubacterium rectale , whereas a lack of dietary fermentable carbohydrate intake can significantly decrease #Butyric acid -producing bacteria and, consequently, fecal #Butyric acid content
Intervention in Disease
Author: MetaBiomIdentifier: 10000139URL: https://www.metabiom.org/microbiota/38/roseburiaKeywords: Microbiome, Dysbiosis, Microbiota, Organism, Bacteria
Common References
[1.1 ] Predictive Metagenomic Analysis of Autoimmune Disease Identifies Robust Autoimmunity and Disease Specific Microbial Signatures 80001705 ]
[1.2 ] Is eating behavior manipulated by the gastrointestinal microbiota? Evolutionary pressures and potential mechanisms 80001843 ]
[1.3 ] Gut Microbiota Profile and Its Association with Clinical Variables and Dietary Intake in Overweight/Obese and Lean Subjects: A Cross-Sectional Study 80001896 ]
[1.4 ] Combinatorial, additive and dose-dependent drug–microbiome associations 80002137 ]
[1.5 ] Fueling Gut Microbes: A Review of the Interaction between Diet, Exercise, and the Gut Microbiota in Athletes 80002173 ]
[1.6 ] Correlation between gut microbiota diversity and psychogenic erectile dysfunction 80002269 ]
[1.7 ] Exploring the multifactorial aspects of Gut Microbiome in Parkinson’s Disease 80002403 ]
[1.8 ] Rethinking healthy eating in light of the gut microbiome 80002441 ]
[1.9 ] Bacterial Butyrate in Parkinson’s Disease Is Linked to Epigenetic Changes and Depressive Symptoms 80002465 ]
[1.10 ] The association between early-life gut microbiota and childhood respiratory diseases: a systematic review 80002550 ]
[1.11 ] Correlation between human gut microbiome and diseases 80002594 ]
[1.12 ] Mobile genetic elements from the maternal microbiome shape infant gut microbial assembly and metabolism 80002657 ]
[1.13 ] Metagenomics of Parkinson’s disease implicates the gut microbiome in multiple disease mechanisms 80002696 ]
[1.14 ] Gut microbiota analysis for prediction of clinical relapse in Crohn’s disease 80002707 ]
[1.15 ] Fecal Lcn-2 level is a sensitive biological indicator for gut dysbiosis and intestinal inflammation in multiple sclerosis 80002718 ]
[1.16 ] Gut microbiota in the early stage of Crohn’s disease has unique characteristics 80002734 ]
[1.17 ] Microbial Metabolite Dysbiosis and Colorectal Cancer 80002741 ]
[1.18 ] Variation of butyrate production in the gut microbiome in type 2 diabetes patients 80002763 ]
[1.19 ] Microbiota–gut–brain axis mechanisms in the complex network of bipolar disorders: potential clinical implications and translational opportunities 80002837 ]
[1.20 ] Gut-Muscle Axis Exists and May Affect Skeletal Muscle Adaptation to Training 80002842 ]
[1.21 ] Gut Microbiome Composition is associated with future onset of Crohn’s Disease in Healthy First-Degree Relatives 80002997 ]
[1.22 ] Alzheimer’s Disease Microbiome Is Associated with Dysregulation of the Anti-Inflammatory P-Glycoprotein Pathway 80000052 ]
[1.23 ] Effects of a wholegrain-rich diet on markers of colonic fermentation and bowel function and their associations with the gut microbiome: a randomised controlled cross-over trial 80003001 ]
[1.24 ] Gut microbiome immaturity and childhood acute lymphoblastic leukaemia 80003007 ]
[1.25 ] Assessing the Performance of a Novel Stool-Based Microbiome Test That Predicts Response to First Line Immune Checkpoint Inhibitors in Multiple Cancer Types 80003055 ]
[1.26 ] Probiotic supplementation during antibiotic treatment is unjustified in maintaining the gut microbiome diversity: a systematic review and meta-analysis 80003119 ]
[1.27 ] Gut microbiota: a newly identified environmental factor in systemic lupus erythematosus 80003157 ]
[1.28 ] Gut microbiome and nutrition-related predictors of response to immunotherapy in cancer: making sense of the puzzle 80003179 ]
[1.29 ] Gut Microbial Antigenic Mimicry in Autoimmunity 80003216 ]
[1.30 ] Gut microbiome changes induced by a diet rich in fruits and vegetables 80003292 ]
[1.31 ] B Vitamins and Their Roles in Gut Health 80003304 ]
[1.32 ] Enrichment of Lactic Acid-Producing Bacteria in the Fecal Microbiota of Patients with Ulcerative Colitis in North India 80003339 ]
[1.33 ] Host Microbiome in tuberculosis: Disease, treatment, and immunity perspectives 80003344 ]
[1.34 ] Gut Microbiome in Patients With Early-Stage and Late-Stage Melanoma 80003345 ]
[1.35 ] Gut Microbial Metabolite Butyrate and Its Therapeutic Role in Inflammatory Bowel Disease: A Literature Review 80003363 ]
[1.36 ] Gut Microbiota: A Novel Therapeutic Target for Parkinson’s Disease 80003405 ]
[1.37 ] Fiber deprivation and microbiome-borne curli shift gut bacterial populations and accelerate disease in a mouse model of Parkinson’s disease 80003413 ]
[1.38 ] Infant gut microbiota and environment associate with juvenile idiopathic arthritis many years prior to disease onset, especially in genetically vulnerable children 80003477 ]
[1.39 ] A review of the interaction between diet composition and gut microbiota and its impact on associated disease 80003491 ]
[1.40 ] Temporal and long-term gut microbiota variation in allergic disease: a prospective study from infancy to school age 80001034 ]
[1.41 ] Lower airway microbiota and mycobiota in children with sever asthma 80001065 ]
[1.42 ] Gut microbiota features in young children with autism spectrum disorders 80000980 ]
[1.43 ] Altered diversity and composition of the gut microbiome in patients with cervical cancer 80000943 ]
[1.44 ] The fecal, oral, and skin microbiota of children with Chagas disease treated with benznidazole 80001023 ]
[1.45 ] Gut microbiome patterns depending on children’s psychosocial stress: reports versus biomarkers 80001328 ]
[1.46 ] Diversified pattern of the human colorectal cancer microbiome 80000295 ]
[1.47 ] Gut microbiota in human adults with type 2 diabetes differs from non-diabetic adults. 80000239 ]
[1.48 ] Altered composition of the gut microbiome in patients with drug-resistant epilepsy. 80000921 ]
[1.49 ] Gut microbiome and serum metabolome analyses identify molecular biomarkers and altered glutamate metabolism in fibromyalgia 80001184 ]
[1.50 ] Alterations of the gut microbiota in Hashimoto’s Thyroiditis patients 80000751 ]
[1.51 ] Altered gut microbiota composition associated with eczema in infants 80000741 ]
[1.52 ] Global and deep molecular analysis of microbiota signatures in fecal samples from patients with irritable bowel syndrome. 80000294 ]
[1.53 ] Characterization of the gut microbiota of Kawasaki disease patients by metagenomic analysis 80000556 ]
[1.54 ] Altered fecal microbiota composition in patients with major depressive disorder. 80000265 ]
[1.55 ] Fecal microbiome and volatile organic compound metabolome in obese humans with nonalcoholic fatty liver disease 80001027 ]
[1.56 ] Discrepant gut microbiota markers for the classification of obesity-related metabolic abnormalities 80001220 ]
[1.57 ] Distinct microbiome in pouchitis compared to healthy pouches in ulcerative colitis and familial adenomatous polyposis. 80000242 ]
[1.58 ] Characterization of intestinal microbiota in ulcerative colitis patients with and without primary sclerosing cholangitis 80000753 ]
[1.59 ] Alterations of gut microbiome in the patients with severe fever with thrombocytopenia syndrome 80000848 ]
[1.60 ] Comparison of the ocular microbiome between chronic Stevens-Johnson syndrome patients and healthy subjects 80001339 ]
[1.61 ] Alterations of urinary microbiota in type 2 Diabetes Mellitus with hypertension and/or hyperlipidemia 80000661 ]
[1.62 ] Dysbiosis of the gut microbiome is associated with thyroid cancer and thyroid nodules and correlated with clinical index of thyroid function 80001043 ]
[1.63 ] Analysis of endoscopic brush samples identified mucosa-associated dysbiosis in inflammatory bowel disease 80000679 ]
[1.64 ] Alterations in the gut microbiota of patients with acquired immune deficiency syndrome 80000714 ]
[1.65 ] Emerging Roles for the Gut Microbiome in Lymphoid Neoplasms 80002486 ]
[1.66 ] Quantitative metagenomics reveals unique gut microbiome biomarkers in ankylosing spondylitis. 80000612 ]
[1.67 ] Microbiota in anorexia nervosa: the triangle between bacterial species, metabolites and psychological tests 80000755 ]
[1.68 ] Distinctive subpopulations of the intestinal microbiota are present in women with unexplained chronic anovulation 80000927 ]
[1.69 ] Symptomatic atherosclerosis is associated with an altered gut metagenome 80000306 ]
[1.70 ] Helicobacter pylori infection aggravates dysbiosis of gut microbiome in children with gastritis 80001277 ]
[1.71 ] Differences in fecal microbial metabolites and microbiota of children with autism spectrum disorders 80000798 ]
[1.72 ] Behçet’s syndrome patients exhibit specific microbiome signature 80000507 ]
[1.73 ] Gut microbiota changes in patients with bipolar depression 80001106 ]
[1.74 ] Alterations of gut microbiota in cholestatic infants and their correlation with hepatic function 80000981 ]
[1.75 ] Characterization of intestinal microbiota in alcoholic patients with and without alcoholic hepatitis or chronic alcoholic pancreatitis 80000689 ]
[1.76 ] A reduction in the butyrate producing species Roseburia spp. and Faecalibacterium prausnitzii is associated with chronic kidney disease progression 80000548 ]
[1.77 ] Structural segregation of gut microbiota between colorectal cancer patients and healthy volunteers 80000715 ]
[1.78 ] Dysbiosis signatures of gut microbiota in coronary artery disease 80000879 ]
[1.79 ] Alterations in gut microbiota of patients with COVID-19 during time of hospitalization 80001420 ]
[1.80 ] Reduced abundance of butyrate-producing bacteria species in the fecal microbial community in Crohn’s Disease. 80000250 ]
[1.81 ] Detecting microbial dysbiosis associated with pediatric Crohn disease despite the high variability of the gut microbiota 80000519 ]
[1.82 ] Fungal dysbiosis in mucosa-associated microbiota of Crohn’s disease patients 80000760 ]
[1.83 ] The altered gut microbiota in adults with cystic fibrosis 80000425 ]
[1.84 ] Gut microbiota differs in composition and functionality between children with type 1 diabetes and MODY2 and healthy control subjects: a case-control study 80000812 ]
[1.85 ] Aberrant gut microbiota alters host metabolome and impacts renal failure in humans and rodents 80001376 ]
[1.86 ] Intestinal microbiota is altered in patients with gastric cancer from Shanxi Province, China 80001028 ]
[1.87 ] Hepatic glycogen storage diseases are associated to microbial dysbiosis 80001020 ]
[1.88 ] The gut microbiota of hand, foot and mouth disease patients demonstrates down-regulated butyrate-producing bacteria and up-regulated inflammation-inducing bacteria 80000902 ]
[1.89 ] Helicobacter pylori infection alters gastric and tongue coating microbial communities 80001045 ]
[1.90 ] Colonic mucosal microbiome differs from stool microbiome in cirrhosis and hepatic encephalopathy and is linked to cognition and inflammation 80000587 ]
[1.91 ] Gut microbiome alterations in hereditary angioedema 80002296 ]
[1.92 ] HIV infection is associated with compositional and functional shifts in the rectal mucosal microbiota 80000337 ]
[1.93 ] A compositional look at the human gastrointestinal microbiome and immune activation parameters in HIV infected subjects. 80000332 ]
[1.94 ] Evidence of dysbiosis in the intestinal microbial ecosystem of children and adolescents with primary hyperlipidemia and the potential role of regular hazelnut intake 80000699 ]
[1.95 ] Gut microbiota dysbiosis contributes to the development of hypertension 80000033 ]
[1.96 ] Altered intestinal microbiota and blood T cell phenotype are shared by patients with Crohn’s disease and their unaffected siblings 80000486 ]
[1.97 ] Molecular characterization of the intestinal microbiota in patients with and without abdominal bloating 80000352 ]
[1.98 ] Alterations in the gut bacterial microbiome in fungal keratitis patients 80000884 ]
[1.99 ] Dysbiosis in the gut microbiota of patients with multiple sclerosis, with a striking depletion of species belonging to Clostridia XIVa and IV clusters. 80000233 ]
[1.100 ] Dysbiosis of gut microbiota in patients with neuromyelitis optica spectrum disorders: a cross sectional study 80001254 ]
[1.101 ] Characterization of gut microbiomes in nonalcoholic steatohepatitis (NASH) patients: a connection between endogenous alcohol and NASH 80000566 ]
[1.102 ] Altered fecal microbiota correlates with liver biochemistry in nonobese patients with non-alcoholic fatty liver disease. 80000569 ]
[1.103 ] Gut microbiota composition and bone mineral loss-epidemiologic evidence from individuals in Wuhan, China 80001182 ]
[1.104 ] Colonic bacterial composition in Parkinson’s Disease 80000275 ]
[1.105 ] Inflammatory microbes and genes as potential biomarkers of Parkinson’s disease 80002678 ]
[1.106 ] Compositional and functional features of the female premenopausal and postmenopausal gut microbiota 80001233 ]
[1.107 ] Posttraumatic stress disorder is associated with altered gut microbiota that modulates cognitive performance in veterans with cirrhosis 80001243 ]
[1.108 ] A Distinct Microbiome Signature in Posttreatment Lyme Disease Patients 80001737 ]
[1.109 ] The gut microbiota, bile acids and their correlation in primary sclerosing cholangitis associated with inflammatory bowel disease 80000678 ]
[1.110 ] The gut-adherent microbiota of PSC-IBD is distinct to that of IBD 80000518 ]
[1.111 ] Alternation of gut microbiota in patients with pulmonary tuberculosis 80000851 ]
[1.112 ] Gut microbiota perturbations in reactive arthritis and postinfectious spondyloarthritis 80000722 ]
[1.113 ] A comparative study of the gut microbiota in immune-mediated inflammatory diseases - does a common dysbiosis exist? 80000942 ]
[1.114 ] Alterations in intestinal microbiota diversity, composition, and function in patients with sarcopenia 80002671 ]
[1.115 ] Fecal microbiota signatures of adult patients with different types of short bowel syndrome 80000662 ]
[1.116 ] Connection between the Gut Microbiome, Systemic Inflammation, Gut Permeability and FOXP3 Expression in Patients with Primary Sjögren’s Syndrome 80001479 ]
[1.117 ] Intestinal microbiota in patients with spinal cord injury 80001018 ]
[1.118 ] Faecal microbiota study reveals specific dysbiosis in spondyloarthritis 80000813 ]
[1.119 ] Dialister as a microbial marker of disease activity in Spondyloarthritis 80000453 ]
[1.120 ] Dysbiosis of gut microbiota and short-chain fatty acids in acute ischemic stroke and the subsequent risk for poor functional outcomes 80001423 ]
[1.121 ] Disordered intestinal microbes are associated with the activity of systemic lupus erythematosus 80000934 ]
[1.122 ] Alterations in the gut microbiota and metabolite profiles of thyroid carcinoma patients 80000975 ]
[1.123 ] Gut microbiota dysbiosis in children with relapsing idiopathic nephrotic syndrome 80000692 ]
[1.124 ] Gut microbiota composition and fecal metabolic phenotype in patients with acute anterior uveitis 80001190 ]
[1.125 ] Association study of gut flora in Wilson’s disease through high-throughput sequencing 80000863 ]
[1.126 ] 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 ]
[1.127 ] Variability of strain engraftment and predictability of microbiome composition after fecal microbiota transplantation across different diseases 80002616 ]
[1.128 ] 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 ]
[1.129 ] Mediterranean diet intervention in overweight and obese subjects lowers plasma cholesterol and causes changes in the gut microbiome and metabolome independently of energy intake 80001473 ]
[1.130 ] Diet, obesity, and the gut microbiome as determinants modulating metabolic outcomes in a non-human primate model 80001840 ]
[1.131 ] Pharmacomicrobiomics: exploiting the drug-microbiota interactions in anticancer therapies 80000217 ]
[1.132 ] Temporospatial shifts in the human gut microbiome and metabolome after gastric bypass surgery 80002685 ]
[1.133 ] Metformin Reduces Aging-Related Leaky Gut and Improves Cognitive Function by Beneficially Modulating Gut Microbiome/Goblet Cell/Mucin Axis 80000214 ]
[1.134 ] Gut microbiota diversity and C-Reactive Protein are predictors of disease severity in COVID-19 patients 80001803 ]
