Disease
Microbiota ☳
Metabolome
Factor
Clostridiales ⇒ Ruminococcaceae {10000223}
Record Keys
Parent:
Definition: Ruminococcaceae
Details
Initialisation date: 2019-08-18
Meta Information
Rank:
Domain:
Zone: [ ]
Enzyme: [ ]
Function: Mucin-degrading, Anti-cancer
Notes: - The second mucin-degrading enterotype is rich in Ruminococcus and Akkermansia, both able to degrade mucins. (1)
Shared Reference Notes
[1.1 ] [#Non-alcoholic fatty liver disease ] Ruminococcaceae has been consistently reported as less abundant in NAFLD
[1.2 ] [#High-protein diet ] #Veillonellaceae , #Akkermansia , uncultured #Eggerthellaceae , and Ruminococcaceae UCG-010
[1.3 ] [#Cancer ] #Castalagin > enriched for bacteria associated with efficient immunotherapeutic responses (Ruminococcaceae and #Alistipes ) and improved the CD8+/Foxp3+CD4+ ratio within the tumor microenvironment.
[1.4 ] [#High Fat Diet ] #Verrucomicrobia , #Akkermansia , Ruminococcaceae_UCG-014 and #Bifidobacteriaceae
[#Bifidobacteriaceae ] [#Moderate Treadmill Exercise ] - Exercise > increase the relative abundance of #Verrucomicrobia , #Akkermansia and Ruminococcaceae_UCG-014
[1.5 ] [#Infectious diarrhea ] #Blautia , #Prevotella , #Faecalibacterium , #Lachnospiraceae , Ruminococcaceae , etc.), leading to a depletion of associated metabolites such as #Short Chain Fatty Acid (SCFAs)
[1.6 ] [#Heart failure ] [#Eubacterium hallii , #Lachnospiraceae ] #Butyrate -producing bacteria, especially, Lachnospiracea and Ruminococcacea families.
- reduction of the #Butyrate -producing Eubacterium Halli and Lachnospiracea is correlated with increased inflammation, severity of disease, heart damage and mortality
- bacteria with capacity of butyrate production, #Lachnospiraceae and Ruminococcaceae , were depleted in individuals at a high risk of #Stroke . Fecal butyrate concentrations also were low in these people
[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 ] [#Inflamatory bowel disease , #Systemic anti-microbiota IgG ] #Collinsella , #Bifidobacterium , #Lachnospiraceae , and Ruminococcaceae .
[1.9 ] [#Rheumatoid Arthritis ] #Lachnospiraceae and Ruminococcaceae families.
- Analysis identified a bacterial strain from the #Subdoligranulum genus that was associated with autoantibody development.
- Mice colonized with this #Subdoligranulum isolate developed arthritis with pathology similar to human RA.
[#Bipolar disorder , #Depression ] - Depressive stages in BD patients manifested in form of melancholia are associated with higher IgA responses to #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 .
[#Bipolar disorder ] - #Prevotella 2 and Ruminococcaceae UCG-002 are more prevalent in patients with MDD than BD patients.
- MDD is associated with alterations in #Bacteroidaceae family, whereas disturbances in #Lachnospiraceae , #Prevotellaceae , and Ruminococcaceae families are related to BD
[1.11 ] [#Rheumatoid Arthritis ] #Lachnospiraceae and Ruminococcaceae families.
- RA > a bacterial strain from the Subdoligranulum genus (#Subdoligranulum didolesgii ) that was associated with autoantibody development.
[1.12 ] [#Bipolar disorder ] Ruminococcaceae at genus and family levels have been found to be depleted in cases of both uni- and bipolar #Depression
[#Depression ] [#Christensenellaceae , #Coprococcus eutactus , #Lachnospiraceae ] - RuminococcaceaeUCG005 as the most important genus in predicting depressive symptoms.
- #Sellimonas , #Eggerthella , #Lachnoclostridium and #Hungatella were more abundant in individuals with higher depressive symptoms.
- 12 genera and 1 microbial family associated with depressive symptoms > genera #Sellimonas , #Eggerthella , Ruminococcaceae (UCG002, UCG003, UCG005), #Lachnoclostridium , #Hungatella , Coprococcus, LachnospiraceaeUCG001, Ruminococcusgauvreauiigroup, #Eubacterium ventriosum , #Subdoligranulum and family Ruminococcaceae .
[1.13 ] #Resistant starch prebiotic fibers > increase Prevotella and families #Lachnospiraceae and Ruminococaceae
[1.14 ] #Fasting > increased microbiome diversity and was specifically associated with upregulation of the #Clostridiales order–derived #Lachnospiraceae and Ruminococcaceae bacterial families.
- increased #Lachnospiraceae > #Butyrate
[1.15 ] [#Bipolar disorder , #Major depressive disorder ] #Prevotella 2 and Ruminococcaceae UCG-002 are more prevalent in patients with MDD than BD patients.
[#Bipolar disorder ] - BD patients with a depressive episode > increased levels of #Coriobacteria and #Actinobacteria together with decreased Ruminococcaceae and #Faecalibacterium .
[1.16 ] [#Short Chain Fatty Acid ] #Centenarians , longevity is positively associated with an abundance of short-chain fatty acid (SCFA) producers, such as #Clostridium cluster XIVa , Ruminococcaceae , #Akkermansia , and #Christensenellaceae
[1.17 ] #Depression > reduced #Bifidobacteriaceae and #Prevotellaceae with elevated #Enterobacteriaceae and Ruminococcaceae .
[1.18 ] [#Diabetes Type 2 ] Ruminococcaceae and #Lachnospiraceae , oscillated diurnally, with a maximum during the dark period, along with expression patterns of a subset of clock genes.
- This diurnal pattern of circadian gene expression and #Lachnospiraceae abundance was also observed in two separate mouse models of gut microbiota dysbiosis and of autonomic neuropathy with impaired GLP-1 sensitivity.
[1.19 ] [#Anorexia nervosa ]
[#Alzheimer’s disease , #Amyotrophic lateral sclerosis , #Multiple Sclerosis ] - ALS appeared to be less associated with microbial dysbiosis compared to MS and AD, with only one microbe genus, #Methanobrevibacter and Ruminococcaceae being commonly present under elevated conditions, respectively.
[1.21 ] #Firmicutes bacterium CAG 94 and Ruminococcaceae bacterium D16, while negative emotions were directly correlated with the relative abundance of these same species.
[1.22 ] [#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.
[1.23 ] [#Antibiotic Therapy ] #Lachnospiraceae (for example, #Dialister spp. and #Lachnospira spp.) and Ruminococcaceae and increased relative abundance of #Veillonella .
[#Children ] - delayed entry into #Daycare is associated with reduced relative abundance of #Lachnospiraceae , Ruminococcaceae and #Prevotella spp. and delayed maturation of the gut microbiome.
[1.24 ] [#Hypertension ] [#Short Chain Fatty Acid ] #Clostridia , Ruminococcaceae , and #Lachnospiraceae , which are mostly SCFA-producing bacteria.
[#Plant-based diet ] - Ruminococcaceae is associated with the long-term consumption of fruits and vegetables.
- Ruminococcaceae enterotype has been linked to adults on a Korean-style balanced diet
[1.25 ] [#High fibre diet , #Nuts ] #Lachnospiraceae - and Ruminococcaceae -related OTUs.
[1.26 ] #Crohn’s disease , is the decreased abundance of #Firmicutes bacteria belonging to two families that are important functional members of the human gut microbiota─Ruminococcaceae and #Lachnospiraceae ─to which most #Butyrate -producing bacteria in the human gut belong.
[1.27 ] [#Chronic fatigue syndrome ] #Paraprevotella and Ruminococcaceae_UCG_014 were positively associated with ME/CFS risk.
[1.28 ] [#Inflamatory bowel disease ] #Clostridium XlVa cluster and Ruminococcaceae are also reduced in those with inflammatory bowel disease (IBD) compared to those without disease, which agrees with their protective role in the gut inflammation and an anti-inflammatory effect of #Aspirin on the gut microbiome.
[#Polysaccharide , #Short Chain Fatty Acid ] - Ruminococcaceae degrade several types of polysaccharides in the lower gastrointestinal tract and facilitate the production of protective short-chain fatty acids
[1.29 ] #Female infertility , > #Ruminococcus , #Desulfovibrio . #Bifidobacteriales , #Bifidobacterium , #Actinobacteria , Ruminococcaceae NK4A214, #Bifidobacteriaceae , #Actinobacteria , #Holdemania .
[#Systemic lupus erythematosus ] - increased abundance in #Enterobacteriaceae and #Enterococcaceae and decreased abundance in Ruminococcaceae in the gut microbiota of patients with SLE.
[1.31 ] #Coriobacteriia , #Actinomycetales , #Oxalobacteraceae , Ruminococcaceae_UCG005 are positively associated with #Non-alcoholic fatty liver disease .
[1.32 ] [#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.
[1.33 ] [#ICI therapy ] #Bacteroidetes remained the most common gut bacteria with increased levels of Ruminococcacae and #Akkermansia muciniphila after treatment which is in contrast to patients who did not respond to anti-PD-1 therapy and had increasing levels of #Proteobacteria after treatment,
[1.34 ] [#Metabolic syndrome ] Ruminococcaceae UCG-014 was disadvantageous for weight loss, while Ruminococcaceae NK4A214 and #Ruminococcus 1 were advantageous for weight loss and change in waist circumference.
- baseline abundance of this taxon was positively associated with DNAme in three metabolically relevant genes.
[1.35 ] [#Ulcerative Colitis ] [#Short Chain Fatty Acid ] #Bacteria such as #Prevotella , #Roseburia , #Lachnospiraceae , and Ruminococcaceae .
[1.36 ] [#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.
[1.37 ] [#Parkinson’s Disease ] #Prevotellaceae , #Lachnospiraceae , and #Faecalibacterium were decreased significantly in patients with PD compared to healthy controls, while Ruminococcaceae , #Bifidobacteriaceae , #Christensenellaceae , and #Verrucomicrobiaceae were enriched in patients with PD
[1.38 ] [#Multiple Sclerosis ] #Children with MS exhibit low levels of #Lachnospiraceae and Ruminococcaceae and significant levels of #Desulfovibrionaceae members
[1.39 ] [#High Fat Diet ] Ruminococcaceae (order Clostridiales) that are prominent producers of #Butyrate , decreased in relative abundance with a high-fat diet.
- This decrease is particularly significant because Ruminococcaceae , making up ≈20% of gut bacteria in chow-fed OSA rats, decreased to ≈10% in high-fat OSA rats . Members of the order Clostridiales, other than Ruminococcaceae , also significantly decreased with high-fat diet.
Intervention in Disease
Author: MetaBiomIdentifier: 10000223URL: https://www.metabiom.org/microbiota/118/ruminococcaceaeKeywords: Microbiome, Dysbiosis, Microbiota, Organism, Bacteria
Common References
[1.1 ] Effect of green-Mediterranean diet on intrahepatic fat: the DIRECT PLUS randomised controlled trial 80002136 ]
[1.2 ] Fueling Gut Microbes: A Review of the Interaction between Diet, Exercise, and the Gut Microbiota in Athletes 80002173 ]
[1.3 ] A natural polyphenol exerts antitumor activity and circumvents anti-PD-1 resistance through effects on the gut microbiota 80002247 ]
[1.4 ] Moderate Treadmill Exercise Modulates Gut Microbiota and Improves Intestinal Barrier in High-Fat-Diet-Induced Obese Mice via the AMPK/CDX2 Signaling Pathway 80002263 ]
[1.5 ] Dynamic of the human gut microbiome under infectious diarrhea 80002290 ]
[1.6 ] Role of Butyrate, a Gut Microbiota Derived Metabolite, in Cardiovascular Diseases: A comprehensive narrative review 80002402 ]
[1.7 ] Exploring the multifactorial aspects of Gut Microbiome in Parkinson’s Disease 80002403 ]
[1.8 ] The systemic anti-microbiota IgG repertoire can identify gut bacteria that translocate across gut barrier surfaces 80002548 ]
[1.9 ] Clonal IgA and IgG autoantibodies from individuals at risk for rheumatoid arthritis identify an arthritogenic strain of
Subdoligranulum 80002636 ]
[1.10 ] [2023] [Review] [Molecular Psychiatry] [Journal] [80002728 ]
[1.11 ] Dual IgA/IgG family autoantibodies from individuals at-risk for rheumatoid arthritis identify an arthritogenic strain of Subdoligranulum 80002746 ]
[1.12 ] Gut microbiome-wide association study of depressive symptoms 80002767 ]
[1.13 ] An open label, non-randomized study assessing a prebiotic fiber intervention in a small cohort of Parkinson’s disease participants 80002769 ]
[1.14 ] Remodeling of the gut microbiome during Ramadan-associated intermittent fasting 80002826 ]
[1.15 ] Microbiota–gut–brain axis mechanisms in the complex network of bipolar disorders: potential clinical implications and translational opportunities 80002837 ]
[1.16 ] How Microbiomes Affect Skin Aging: The Updated Evidence and Current Perspectives 80002854 ]
[1.17 ] The Gut Microbiota Links Dietary Polyphenols With Management of Psychiatric Mood Disorders 80002856 ]
[1.18 ] Gut microbiota dysbiosis of type 2 diabetic mice impairs the intestinal daily rhythms of GLP-1 sensitivity 80002858 ]
[1.19 ] The gut microbiota contributes to the pathogenesis of anorexia nervosa in humans and mice 80002863 ]
[1.20 ] Comparative in-silico analysis of microbial dysbiosis discern potential metabolic link in neurodegenerative diseases 80002870 ]
[1.21 ] Gut feelings: associations of emotions and emotion regulation with the gut microbiome in women 80002890 ]
[1.22 ] 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 ]
[1.23 ] Gut microbiome immaturity and childhood acute lymphoblastic leukaemia 80003007 ]
[1.24 ] The association between gut microbiome and hypertension varies according to enterotypes: a Korean study 80003028 ]
[1.25 ] Dietary Fibers of Tree Nuts Differ in Composition and Distinctly Impact the Fecal Microbiota and Metabolic Outcomes In Vitro 80003037 ]
[1.26 ] Gut Microbiome–Brain Alliance: A Landscape View into Mental and Gastrointestinal Health and Disorders 80003039 ]
[1.27 ] Causal Effects between Gut Microbiome and Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: A Two-Sample Mendelian Randomization Study 80003042 ]
[1.28 ] Randomised clinical study: oral aspirin 325 mg daily vs placebo alters gut microbial composition and bacterial taxa associated with colorectal cancer risk 80003057 ]
[1.29 ] A two-sample mendelian randomization analysis investigates associations between gut microbiota and infertility 80003103 ]
[1.30 ] Gut microbiota: a newly identified environmental factor in systemic lupus erythematosus 80003157 ]
[1.31 ] Association between the gut microbiota and nonalcoholic fatty liver disease: A two-sample Mendelian randomization study 80003177 ]
[1.32 ] Gut Microbial Antigenic Mimicry in Autoimmunity 80003216 ]
[1.33 ] The Role of Gut Microbiome in Hepatocellular Carcinoma: A Systematic Review 80003301 ]
[1.34 ] The Microbiome, Epigenome, and Diet in Adults with Obesity during Behavioral Weight Loss 80003312 ]
[1.35 ] Enrichment of Lactic Acid-Producing Bacteria in the Fecal Microbiota of Patients with Ulcerative Colitis in North India 80003339 ]
[1.36 ] Host Microbiome in tuberculosis: Disease, treatment, and immunity perspectives 80003344 ]
[1.37 ] Gut Microbiota: A Novel Therapeutic Target for Parkinson’s Disease 80003405 ]
[1.38 ] Neuropsychiatric and Neurological Diseases in Relation to the Microbiota-Gut-Brain Axis: From Research to Clinical Care 80003409 ]
[1.39 ] Role of the Gut Microbiome in Obstructive Sleep Apnea–Induced Hypertension 80000098 ]
[1.40 ] Gut Microbiota is Altered in Patients with Alzheimer’s Disease. 80001245 ]
[1.41 ] Stratification of the Gut Microbiota Composition Landscape across the Alzheimer’s Disease Continuum in a Turkish Cohort 80002303 ]
[1.42 ] Intestinal dysbiosis in Ankylosing Spondylitis 80000328 ]
[1.43 ] Altered gut microbiota in Chinese children with autism spectrum disorders 80000976 ]
[1.44 ] The urinary microbiome associated with bladder cancer 80001102 ]
[1.45 ] The human gut microbiome as a screening tool for colorectal cancer 80000706 ]
[1.46 ] How ocular surface microbiota debuts in type 2 diabetes mellitus 80001133 ]
[1.47 ] Gut microbiota dysbiosis in children with relapsing idiopathic nephrotic syndrome 80000692 ]
[1.48 ] Altered microbiome composition in individuals with fibromyalgia 80001112 ]
[1.49 ] Intestinal microbiota is altered in patients with gastric cancer from Shanxi Province, China 80001028 ]
[1.50 ] Gut Microbiota and Gestational Diabetes Mellitus: A Review of Host-Gut Microbiota Interactions and Their Therapeutic Potential 80001882 ]
[1.51 ] Alteration in gut microbiota associated with hepatitis B and non-hepatitis virus related hepatocellular carcinoma 80000945 ]
[1.52 ] Alteration of Fecal Microbiota Profiles in Juvenile Idiopathic Arthritis. Associations with HLA-B27 Allele and Disease Status 80000401 ]
[1.53 ] Diversity analysis of gut microbiota in osteoporosis and osteopenia patients 80001198 ]
[1.54 ] Alteration of the fecal microbiota in North-Eastern Han Chinese population with sporadic Parkinson’s disease 80001306 ]
[1.55 ] Dysbiotic salivary microbiota in dry mouth and primary Sjögren’s syndrome patients 80001210 ]
[1.56 ] Spatial variation of the colonic microbiota in patients with ulcerative colitis and control volunteers 80000658 ]
[1.57 ] Alterations of oral microbiota distinguish children with autism spectrum disorders from healthy controls 80000691 ]
[1.58 ] Altered gut microbiota and short chain fatty acids in Chinese children with autism spectrum disorder 80000947 ]
[1.59 ] Alterations of gut microbiome in autoimmune hepatitis 80001159 ]
[1.60 ] Oral microbiota in autoimmune polyendocrine syndrome type 1 80000749 ]
[1.61 ] A step ahead: exploring the gut microbiota in inpatients with bipolar disorder during a depressive episode 80001119 ]
[1.62 ] Dysbiosis signatures of the microbial profile in tissue from bladder cancer 80001272 ]
[1.63 ] The intestinal microbiota associated with cardiac valve calcification differs from that of coronary artery disease 80000915 ]
[1.64 ] Reduced diversity and altered composition of the gut microbiome in individuals with myalgic encephalomyelitis/chronic fatigue syndrome. 80000273 ]
[1.65 ] Characterizing the gut microbiota in patients with chronic kidney disease 80001316 ]
[1.66 ] Impact of cigarette smoking on the middle meatus microbiome in health and chronic rhinosinusitis 80000887 ]
[1.67 ] Gut microbiome and serum metabolome analyses identify unsaturated fatty acids and butanoate metabolism induced by gut microbiota in patients with chronic spontaneous urticaria 80001363 ]
[1.68 ] Alterations in skin microbiomes of patients with cirrhosis 80001041 ]
[1.69 ] Altered profile of human gut microbiome is associated with cirrhosis and its complications 80000281 ]
[1.70 ] Gut microbiota composition and Clostridium difficile infection in hospitalized elderly individuals: a metagenomic study 80001033 ]
[1.71 ] The gut microbiota in collagenous colitis shares characteristics with inflammatory bowel diseas-associated dysbiosis 80001117 ]
[1.72 ] Human intestinal lumen and mucosa-associated microbiota in patients with colorectal cancer 80000305 ]
[1.73 ] Dynamic changes of gut and lung microorganisms during chronic obstructive pulmonary disease exacerbations 80001387 ]
[1.74 ] Dysbiosis signatures of gut microbiota in coronary artery disease 80000879 ]
[1.75 ] Alterations of the gut microbiota in patients with COVID-19 or H1N1 Influenza 80001419 ]
[1.76 ] Dysfunction of the intestinal microbiome in inflammatory bowel disease and treatment 80000991 ]
[1.77 ] Comparison of oropharyngeal microbiota from children with asthma and cystic fibrosis 80000734 ]
[1.78 ] Association between fecal microbiota and generalized anxiety disorder: severity and early treatment response 80001071 ]
[1.79 ] Alterations in gut microbiota of gestational diabetes patients during the first trimester of pregnancy 80001364 ]
[1.80 ] Intestinal microbiota in Hirschsprung Disease 80000783 ]
[1.81 ] Impact of human immunodeficiency virus-related gut microbiota alterations on metabolic comorbid conditions 80001357 ]
[1.82 ] An altered intestinal mucosal microbiome in HIV-1 infection is associated with mucosal and systemic immune activation and endotoxemia. 80000343 ]
[1.83 ] Fecal and mucosal microbiota profiling in irritable bowel syndrome and inflammatory bowel disease 80001146 ]
[1.84 ] Changes in blood microbiota profiles associated with liver fibrosis in obese patients: a pilot analysis 80000584 ]
[1.85 ] Gut microbiota in early pediatric multiple sclerosis: a case-control study 80000269 ]
[1.86 ] Gut microbiota dysbiosis in patients with biopsy-proven nonalcoholic fatty liver disease: a cross-sectional study in Taiwan 80001393 ]
[1.87 ] A microbial signature identifies advanced fibrosis in patients with chronic liver disease mainly due to NAFLD 80001341 ]
[1.88 ] Dysbiosis signatures of gut microbiota along the sequence from healthy, young patients to those with overweight and obesity. 80000708 ]
[1.89 ] Gut microbiota in obstructive sleep apneu-hypopneu syndrome: disease-related dysbiosis and metabolic comorbidities 80000933 ]
[1.90 ] Fecal microbiome signatures of pancreatic cancer patients 80001263 ]
[1.91 ] The nasal and gut microbiome in Parkinson’s Disease and Idiopathic Rapid Eye Movement Sleep Behavior Disorder 80000656 ]
[1.92 ] Dysbiosis of gut microbiota associated with clinical parameters in polycistic ovary syndrome 80000443 ]
[1.93 ] Pouch inflammation is associated with a decrease in specific bacterial taxa. 80000325 ]
[1.94 ] The Evolving Microbiome from Pregnancy to Early Infancy: A Comprehensive Review 80001484 ]
[1.95 ] Decreased bacterial diversity characterizes an altered gut microbiota in psoriatic arthritis and resembles dysbiosis of inflammatory bowel disease. 80000525 ]
[1.96 ] The gut microbiome from patients with schizophrenia modulates the glutamate-glutamine-GABA cycle and schizophrenia-relevant behaviors in mice 80000888 ]
[1.97 ] Fecal microbiota signatures of adult patients with different types of short bowel syndrome 80000662 ]
[1.98 ] Intestinal dysbiosis in inflammatory bowel disease associated with primary immunodeficiency 80000914 ]
[1.99 ] Urogenital schistosomiasis is associated with signatures of microbiome dysbiosis in Nigerian adolescents 80000952 ]
[1.100 ] Gut Microbiota-Derived Tryptophan Metabolites Maintain Gut and Systemic Homeostasis 80002575 ]
[1.101 ] 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 ]
[1.102 ] Metformin Reduces Aging-Related Leaky Gut and Improves Cognitive Function by Beneficially Modulating Gut Microbiome/Goblet Cell/Mucin Axis 80000214 ]
[1.103 ] How Discrimination Gets Under the Skin: Biological Determinants of Discrimination Associated with Dysregulation of the Brain-Gut Microbiome System and Psychological Symptoms 80002702 ]
[1.104 ] Gut microbiota facilitates dietary heme-induced epithelial hyperproliferation by opening the mucus barrier in colon 80000109 ]
[1.105 ] Pharmacomicrobiomics: exploiting the drug-microbiota interactions in anticancer therapies 80000217 ]
