Disease
Microbiota ☳
Metabolome
Factor
Ruminococcaceae ⇒ Faecalibacterium {10000187}
Record Keys
Parent:
Definition: Faecalibacterium
Details
Initialisation date: 2022-01-24
Meta Information
Rank:
Domain:
Zone: [ ]
Enzyme: [ ]
Function: Mucin-degrading, Anti-inflammatory, Fatigue-inducing
Notes: - Short chain fatty acid producer
Shared Reference Notes
[1.1 ] Faecalibacterium was found to be predictive of RA and this bacterium was found to be significantly positively correlated with a number of metabolites including the vitamin B metabolites riboflavin, nicotinate and pantothenate; nucleotides adenine, guanine and uracil; and the SCFA butyrate.
- As a butyrate producer, Faecalibacterium is generally considered beneficial
[1.2 ] [#Autism ] Faecalibacterium in ASD children is responsible for the progression of inflammatory processes, with increased levels of type I interferon, and the alteration of the intestinal barrier.
[1.3 ] [#Alzheimer’s disease ] #Bacteroides and Faecalibacterium may improve cognitive levels
[1.4 ] [#Obesity , #Diabetes Type 2 ] [#Gender , #Resistant starch ] Faecalibacterium , Predict postprandial glucose response (PPGR) after eating potatoes.
[1.5 ] [#Chronic fatigue syndrome , #Inflamatory bowel disease , #Multiple Sclerosis ] Faecalibacterium was also found in IBD patients with fatigue (compared to IBD patients without fatigue), , #Cancer -related fatigue (compared to #Cancer patients with low fatigue) and other autoimmune diseases such as MS and #Diabetes Type 1 .
[#Chronic fatigue syndrome ] - MC/CFS > microbiome alterations that were consistent with an increased inflammation of the gut, namely significantly increased #Lactonifactor and #Alistipes
- in particular an increase of #Alistipes and a decrease of butyrate-producer Faecalibacterium were considered as top biomarkers with potential diagnostic value
- abundance of #Bifidobacterium and Faecalibacterium to be reduced in the affected twin compared to the non-affected one.
- Decreases in Faecalibacterium and increases in #Coprobacillus were found.
- Gut abundances of #Coprobacillus , of #Eggerthella and #Blautia were best able to distinguish patients from controls.
- Decreases in Faecalibacterium and increases in #Coprobacillus were found.
- distinct microbial pattern with decreased anti-inflammatory #Firmicutes
[1.6 ] [#Infectious diarrhea ] #Blautia , #Prevotella , Faecalibacterium , #Lachnospiraceae , #Ruminococcaceae , etc.), leading to a depletion of associated metabolites such as #Short Chain Fatty Acid (SCFAs)
[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 ] #Akkermansia and Faecalibacterium genera, have also been detected in mice subject to 7-day paradoxical #Sleep Deprivation and 3-day continuous #Sleep Deprivation .
- Decreases in Bifidobacterium and Lactobacillus genera have been seen in mice subject to 5 days of sleep disruption.
- #Sleep Deprivation –induced dysbiosis in mice resulted in increased intestinal permeability and reduced abundance of SCFAs, features that were both reversed following subsequent administration of #Lactobacillus plantarum .
- patients with psoriasis report a relative reduction in intestinal abundance of #Akkermansia , #Ruminococcus , or Faecalibacterium genera, which are all comprised of mucin-degrading SCFA-producing commensals.
[1.9 ] #Prostate cancer patients, while others (HBD2 and 3) were considerably increased.
- Abundance of #Staphylococcus , #Corynebacterium and #Oxyphotobacteria genera was significantly higher, the abundance of Faecalibacterium and #Bacteroides genera were significantly lower in prostate tumor samples compared to non-tumor samples.
- #Bacteroides , Parabacteroides and Faecalibacterium abundance gradually decreased with the combined increase in HBD2 and HBD3.
- Higher #Corynebacterium and #Staphylococcus abundances were measured together with higher HBD2 and HBD3 urinary levels.
[#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 ] #Clostridium and Faecalibacterium genera.
[1.12 ] [#Clostridium difficile associated disease ] #Vancomycin is used for C. difficile (CDI) which is associated with decrease in number of gut microbes like #Bacteroidetes , #Fuminococcus , and Faecalibacterium and increases in #Proteobacteria species.
[1.13 ] #Prevotella and #Bacteroides were significantly enriched in the #Meditation group.
- Two beneficial bacterial genera (#Megamonas and Faecalibacterium ) were significantly enriched in the #Meditation group.
- Several pathways—including glycan biosynthesis, metabolism and lipopolysaccharide biosynthesis—were significantly enriched in the #Meditation group.
- Plasma levels of clinical risk factors were significantly decreased in the #Meditation group, including total #Cholesterol and apolipoprotein B.
[1.14 ] [#Bipolar disorder , #Depression ] #Citrobacter koseri than in healthy or non-melancholic depressed individuals.
- - in BD patients with a depressive episode > increased levels of #Coriobacteria and #Actinobacteria together with decreased #Ruminococcaceae and Faecalibacterium .
[1.15 ] #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.
[1.16 ] [#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.
[1.17 ] [#Chronic fatigue syndrome ] [#γ-butyrobetaine ] Faecalibacterium .
[1.18 ] [#Parkinson’s Disease ] #Akkermansia , #Lactobacillus , #Bifidobacterium .
- PD > decreased relative abundance of family #Lachnospiraceae , Faecalibacterium
[1.19 ] [#Bipolar disorder , #Major depressive disorder ] #Enterococcus , #Flavonifractor , and #Streptococcus , and lower Faecalibacterium and #Ruminococcus .
[#Bipolar disorder ] - BD patients with a depressive episode > increased levels of #Coriobacteria and #Actinobacteria together with decreased #Ruminococcaceae and Faecalibacterium .
[#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 ] #Coffee intake was related to higher alpha diversity higher relative abundance of Faecalibacterium and #Alistipes , and lower relative abundance of #Erysipelatoclostridium .
- After adjustment of vitamin B2 in multivariate analysis, the significant inverse association between #Erysipelatoclostridium count and caffeine intake remained statistically significant.
[1.22 ] [#Aging ] #Lactobacillus and Faecalibacterium , as well as the abundance of #Oscillibacter and #Alistipes genera along with the #Eubacteriaceae family is linked to #Frailty in elderly people.
[1.23 ] [#Soybean ] Faecalibacterium , #Bifidobacterium , and #Parabacteroides .
- consumption of fermented soy milk was associated with increased abundance of #Bifidobacterium , bifidobacteria and/or Lactobacillus compared to unfermented soy milk.
[1.24 ] [#Faecalibacterium prausnitzii ] [#Physical activity ] Faecalibacterium and F. prausnitzii compared with lower grip strength.
[1.25 ] [#CVD , #Obesity ] [#Inulin-Type Fructans ] #Plant-based diet reduced microbial diversity and selectively increased #Bifidobacterium and Faecalibacterium . -- The change in the latter was significantly associated with higher values of insulin and HOMA-IR and lower HDL #Cholesterol .
- The LDL:HDL ratio and the concentrations of IL-10, MCP-1 and TNFα were significantly elevated in the ITF-subgroup.
[1.26 ] [#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.
[1.27 ] [#Athletes ] Faecalibacterium , #Sutterella , #Clostridium , #Haemophilus , and #Eisenbergiella were the most abundant in bodybuilders, while #Bifidobacterium and #Parasutterella were the least abundant.
[#Short Chain Fatty Acid ] [#Exercise training ] - A six-week moderate to intense aerobic exercise (30–60 min) program can induce a shift in the SCFA-producing Faecalibacterium and #Lachnospira spp. and genetic machinery (BCoATe) substantially in lean versus obese participants.
[1.28 ] [#Acute lymphoblastic leukemia ] #Roseburia , #Dialister , #Prevotella , Faecalibacterium and #Anaerostipes showed reduced relative abundance in #Children with ALL at the time of diagnosis
- 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
[#Aging ] - #Infants with older #Siblings exhibit increased gut microbiome α-diversity, faster gut microbiome maturation and earlier colonization with Faecalibacterium species, which are known to increase the Treg/TH17 cell ratio via inhibition of HDACs and to ameliorate gut inflammation.
[#Aging ] - A lack of older #Siblings is associated with reduced gut microbiome α-diversity and reduced relative abundance of Faecalibacterium as well as delayed maturation of the gut microbiome by the age of 12 months.
Author: MetaBiomIdentifier: 10000187URL: https://www.metabiom.org/microbiota/86/faecalibacteriumKeywords: 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 ] The Contribution of Gut Microbiota–Brain Axis in the Development of Brain Disorders 80001732 ]
[1.3 ] Composition of intestinal flora affects the risk relationship between Alzheimer’s disease/Parkinson’s disease and cancer 80002199 ]
[1.4 ] Precision Nutrition Model Predicts Glucose Control of Overweight Females Following the Consumption of Potatoes High in Resistant Starch 80002227 ]
[1.5 ] The Gut Microbiome in Myalgic Encephalomyelitis (ME)/Chronic Fatigue Syndrome (CFS) 80002273 ]
[1.6 ] Dynamic of the human gut microbiome under infectious diarrhea 80002290 ]
[1.7 ] Exploring the multifactorial aspects of Gut Microbiome in Parkinson’s Disease 80002403 ]
[1.8 ] Sleep and the Gut Microbiome in Psoriasis: Clinical Implications for Disease Progression and the Development of Cardiometabolic Comorbidities 80002413 ]
[1.9 ] Bladder Tissue Microbiome Composition in Patients of Bladder Cancer or Benign Prostatic Hyperplasia and Related Human Beta Defensin Levels 80002488 ]
[1.10 ] The association between early-life gut microbiota and childhood respiratory diseases: a systematic review 80002550 ]
[1.11 ] The double-edged sword of probiotic supplementation on gut microbiota structure in <i>Helicobacter pylori</i> management 80002569 ]
[1.12 ] Correlation between human gut microbiome and diseases 80002594 ]
[1.13 ] Alteration of faecal microbiota balance related to long-term deep meditation 80002709 ]
[1.14 ] [2023] [Review] [Molecular Psychiatry] [Journal] [80002728 ]
[1.15 ] Microbial Metabolite Dysbiosis and Colorectal Cancer 80002741 ]
[1.16 ] Variation of butyrate production in the gut microbiome in type 2 diabetes patients 80002763 ]
[1.17 ] Insights into myalgic encephalomyelitis/chronic fatigue syndrome phenotypes through comprehensive metabolomics 80002766 ]
[1.18 ] An open label, non-randomized study assessing a prebiotic fiber intervention in a small cohort of Parkinson’s disease participants 80002769 ]
[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 ] The Association between Caffeine Intake and the Colonic Mucosa-Associated Gut Microbiota in Humans—A Preliminary Investigation 80002846 ]
[1.22 ] How Microbiomes Affect Skin Aging: The Updated Evidence and Current Perspectives 80002854 ]
[1.23 ] Soy and Gastrointestinal Health: A Review 80002876 ]
[1.24 ] Physical activity‐induced alterations of the gut microbiota are BMI dependent 80002881 ]
[1.25 ] Supplementation with inulin-type fructans affects gut microbiota and attenuates some of the cardiometabolic benefits of a plant-based diet in individuals with overweight or obesity 80002882 ]
[1.26 ] 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 ]
[1.27 ] Intertwined Relationship of Mitochondrial Metabolism, Gut Microbiome and Exercise Potential 80003004 ]
[1.28 ] Gut microbiome immaturity and childhood acute lymphoblastic leukaemia 80003007 ]
[1.29 ] Skin microbiome differences relate to the grade of acne vulgaris 80001179 ]
[1.30 ] Allergic patients with long-term asthma display low levels of Bifidobacterium adolescentis 80000725 ]
[1.31 ] Temporal and long-term gut microbiota variation in allergic disease: a prospective study from infancy to school age 80001034 ]
[1.32 ] Quantitative metagenomics reveals unique gut microbiome biomarkers in ankylosing spondylitis. 80000612 ]
[1.33 ] Lower airway microbiota and mycobiota in children with sever asthma 80001065 ]
[1.34 ] Gut microbiota profile in children affected by atopic dermatitis and evaluation of intestinal persistence of a probiotic mixture 80000949 ]
[1.35 ] The gut microbiome composition associates with bipolar disorder and illness severity 80000266 ]
[1.36 ] Molecular characterization of mucosal adherent bacteria and associations with colorectal adenomas 80000590 ]
[1.37 ] Alteration in gut microbiota associated with hepatitis B and non-hepatitis virus related hepatocellular carcinoma 80000945 ]
[1.38 ] Altered gut microbiota composition associated with eczema in infants 80000741 ]
[1.39 ] Characterization of the gut microbiota of Kawasaki disease patients by metagenomic analysis 80000556 ]
[1.40 ] An altered composition of the microbiome in microscopic colitis is driven towards the composition in healthy controls by treatment with budesonide 80001213 ]
[1.41 ] Alteration of the gut microbiota associated with childhood obesity by 16S rRNA gene sequencing 80001400 ]
[1.42 ] Identification and characterization of blood and neutrophil-associated microbiomes in patients with severe acute pancreatitis using next-generation sequencing 80000703 ]
[1.43 ] Meta-analysis of the Parkinson’s disease gut microbiome suggests alterations linked to intestinal inflammation 80001726 ]
[1.44 ] Gut microbial composition in patients with psoriasis 80000690 ]
[1.45 ] An expansion of rare lineage intestinal microbes characterizes rheumatoid arthritis 80000496 ]
[1.46 ] Comparison of the ocular microbiome between chronic Stevens-Johnson syndrome patients and healthy subjects 80001339 ]
[1.47 ] Alterations of urinary microbiota in type 2 Diabetes Mellitus with hypertension and/or hyperlipidemia 80000661 ]
[1.48 ] Analysis of endoscopic brush samples identified mucosa-associated dysbiosis in inflammatory bowel disease 80000679 ]
[1.49 ] Association study of gut flora in Wilson’s disease through high-throughput sequencing 80000863 ]
[1.50 ] Alterations in the gut microbiota of patients with acquired immune deficiency syndrome 80000714 ]
[1.51 ] Persistent gut microbial dysbiosis in children with acute lymphoblastic leukemia (ALL) during chemotherapy 80001424 ]
[1.52 ] Subgingival dysbiosis in smoker and non-smoker patients with chronic periodontitis 80000444 ]
[1.53 ] Characterization of gut microbiota composition and functions in patients with chronic alcohol overconsumption 80001029 ]
[1.54 ] Intestinal microbiota composition in patients with amyotrophic lateral sclerosis: establishment of bacterial and archaeal communities analyses 80001111 ]
[1.55 ] Early infancy microbial and metabolic alterations affect risk of childhood asthma 80000526 ]
[1.56 ] Helicobacter pylori infection aggravates dysbiosis of gut microbiome in children with gastritis 80001277 ]
[1.57 ] Gut microbiota profiles in treatment-naïve children with attention deficit hyperactivity disorder 80000769 ]
[1.58 ] Gut microbial profile in biliary atresia: a case-control study 80001225 ]
[1.59 ] Gut microbiota changes in patients with bipolar depression 80001106 ]
[1.60 ] Alterations of gut microbiota in cholestatic infants and their correlation with hepatic function 80000981 ]
[1.61 ] Characterization of intestinal microbiota in alcoholic patients with and without alcoholic hepatitis or chronic alcoholic pancreatitis 80000689 ]
[1.62 ] Alteration of the gut microbiota in Chinese population with chronic kidney disease 80000616 ]
[1.63 ] Altered diversity and composition of gut microbiota in Chinese patients with chronic pancreatitis 80001241 ]
[1.64 ] Gut microbiome and serum metabolome analyses identify unsaturated fatty acids and butanoate metabolism induced by gut microbiota in patients with chronic spontaneous urticaria 80001363 ]
[1.65 ] Decreased fecal bacterial diversity and altered microbiome in children colonized with Clostridium difficile 80000958 ]
[1.66 ] Human intestinal lumen and mucosa-associated microbiota in patients with colorectal cancer 80000305 ]
[1.67 ] Comparison of gut microbiome in human colorectal cancer in paired tumor and adjacent normal tissues 80001290 ]
[1.68 ] Dysbiosis signatures of gut microbiota in coronary artery disease 80000879 ]
[1.69 ] Alterations of the gut microbiota in patients with COVID-19 or H1N1 Influenza 80001419 ]
[1.70 ] Reduced abundance of butyrate-producing bacteria species in the fecal microbial community in Crohn’s Disease. 80000250 ]
[1.71 ] Fungal dysbiosis in mucosa-associated microbiota of Crohn’s disease patients 80000760 ]
[1.72 ] Disrupted progression of the intestinal microbiota with age in children with cystic fibrosis 80000388 ]
[1.73 ] Gut microbiota differs in composition and functionality between children with type 1 diabetes and MODY2 and healthy control subjects: a case-control study 80000812 ]
[1.74 ] Implication of the gut microbiome composition of type 2 diabetic patients from northern China 80001348 ]
[1.75 ] Dysbiosis of urinary microbiota is positively correlated with type 2 diabetes mellitus 80000429 ]
[1.76 ] Gut microbial dysbiosis in individuals with Sjögren’s syndrome 80001407 ]
[1.77 ] Intestinal microbiota is altered in patients with gastric cancer from Shanxi Province, China 80001028 ]
[1.78 ] Altered gut microbiota profile in patients with generalized anxiety disorder 80001066 ]
[1.79 ] Alterations of gut microbiota and blood lipidome in gestational diabetes mellitus with hyperlipidemia 80001152 ]
[1.80 ] Hepatic glycogen storage diseases are associated to microbial dysbiosis 80001020 ]
[1.81 ] Molecular alteration analysis of human gut microbial composition in Graves’ disease patients 80000858 ]
[1.82 ] Alterations of the gut microbiota in Hashimoto’s Thyroiditis patients 80000751 ]
[1.83 ] Microbiome and bile acid profiles in duodenal aspirates from patients with liver cirrhosis: the microbiome, microbial markers and liver disease study 80000781 ]
[1.84 ] Gut Microbiome Signatures in the Progression of Hepatitis B Virus-Induced Liver Disease 80002427 ]
[1.85 ] Effects of HIV viremia on the gastrointestinal microbiome of young MSM 80000959 ]
[1.86 ] A compositional look at the human gastrointestinal microbiome and immune activation parameters in HIV infected subjects. 80000332 ]
[1.87 ] Gut microbiota dysbiosis contributes to the development of hypertension 80000033 ]
[1.88 ] The gut microbiome in epilepsy 80001252 ]
[1.89 ] The microbiome of translocated bacterial populations in patients with and without inflammatory bowel disease 80000893 ]
[1.90 ] Alterations of microbiota in urine from women with interstitial cystitis 80000409 ]
[1.91 ] Fecal and Mucosa-associated intestinal microbiota in patients with diarrhea-predominant irritable bowel syndrome 80000864 ]
[1.92 ] Mucosal microbiome profiles polygenic irritable bowel syndrome in Mestizo individuals 80001366 ]
[1.93 ] Alterations in gut bacterial and fungal microbiomes are associated with bacterial keratitis, an inflammatory disease of the human eye 80000905 ]
[1.94 ] Profiling the urinary microbiome in men with calcium-based kidney stones 80001327 ]
[1.95 ] Altered fecal microbiota composition in patients with major depressive disorder. 80000265 ]
[1.96 ] Gut microbiota in MS: possible influence of immunomodulators 80000267 ]
[1.97 ] Dysbiosis of gut microbiota in patients with neuromyelitis optica spectrum disorders: a cross sectional study 80001254 ]
[1.98 ] Nonalcoholic fatty liver disease is associated with dysbiosis independent of body mass index and insulin resistance 80000685 ]
[1.99 ] Dysbiosis signatures of gut microbiota along the sequence from healthy, young patients to those with overweight and obesity. 80000708 ]
[1.100 ] Fecal microbiome signatures of pancreatic cancer patients 80001263 ]
[1.101 ] Gut microbiota dysbiosis worsens the severity of acute pancreatitis in patients and mice. 80001237 ]
[1.102 ] Parkinson’s Disease and Parkinson’s Disease medications have distinct signatures of the gut microbiome. 80000277 ]
[1.103 ] Inflammatory microbes and genes as potential biomarkers of Parkinson’s disease 80002678 ]
[1.104 ] Metagenomics of Parkinson’s disease implicates the gut microbiome in multiple disease mechanisms 80002696 ]
[1.105 ] Colonic bacterial composition in Parkinson’s Disease 80000275 ]
[1.106 ] Structural and functional profiles of the gut microbial community in polycystic ovary syndrome with insulin resistance (IR-PCOS): a pilot study 80000919 ]
[1.107 ] Compositional and functional features of the female premenopausal and postmenopausal gut microbiota 80001233 ]
[1.108 ] Pouch inflammation is associated with a decrease in specific bacterial taxa. 80000325 ]
[1.109 ] Distinct microbiome in pouchitis compared to healthy pouches in ulcerative colitis and familial adenomatous polyposis. 80000242 ]
[1.110 ] Early-onset preeclampsia is associated with gut microbial alterations in antepartum and postpartum women 80001138 ]
[1.111 ] Gut microbial profile is altered in primary biliary cholangitis and partially restored after UDCA therapy 80000594 ]
[1.112 ] Fungi participate in the dysbiosis of gut microbiota in patients with primary sclerosing cholangitis 80000990 ]
[1.113 ] Gut microbiota dysbiosis in a cohort of patients with psoriasis 80001039 ]
[1.114 ] Altered gut microbiota in Rett syndrome 80000534 ]
[1.115 ] Analysis of gut mycobiota in first-episode, drug-naïve Chinese patients with schizophrenia: a pilot study 80001250 ]
[1.116 ] Alterations of gut microbiome in the patients with severe fever with thrombocytopenia syndrome 80000848 ]
[1.117 ] Fecal microbiota signatures of adult patients with different types of short bowel syndrome 80000662 ]
[1.118 ] Intestinal microbiome analysis revealed dysbiosis in sickle cell disease 80000719 ]
[1.119 ] Altered mucosal microbiome diversity and disease severity in Sjögren Syndrome 80000347 ]
[1.120 ] Dysbiosis of gut microbiota is associated with serum lipid profiles in male patients with chronic traumatic cervical spinal cord injury 80001108 ]
[1.121 ] Dysbiosis of gut microbiota and short-chain fatty acids in acute ischemic stroke and the subsequent risk for poor functional outcomes 80001423 ]
[1.122 ] Association of systemic sclerosis with a unique colonic microbial consortium 80000333 ]
[1.123 ] Dysbiosis of gut microbiota with reduced tremethylamine-N-oxide level in patients with large-artery atherosclerotic stroke or transient ischemic attack._DUBLICATE 80000456 ]
[1.124 ] Dysbiosis in the gut bacterial microbiome of patients with Uveitis, an inflammatory disease of the eye 80000796 ]
[1.125 ] Faecal microbial dysbiosis in children with Wiskott-Aldrich syndrome 80001296 ]
[1.126 ] 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 ]
[1.127 ] Family SES Is Associated with the Gut Microbiome in Infants and Children 80002079 ]
[1.128 ] Rethinking healthy eating in light of the gut microbiome 80002441 ]
