Disease
Microbiota ☳
Metabolome
Factor
Bacteroidaceae ⇒ Bacteroides {10000109}
Record Keys
Parent:
Definition: Bacteroides
Details
Initialisation date: 2020-09-06
Meta Information
Rank:
Domain:
Zone: [ ]
Enzyme: [ ]
Function: Anti fibrosis
Notes: Shared Reference Notes
[1.1 ] Bacteroides .
- Retaining a high Bacteroides dominance into older age, or having a low gut microbiome uniqueness measure, predicts decreased survival in a 4-year follow-up.
[1.2 ] #Major depressive disorder showed a statistically significant overrepresentation of Bacteroides enterotype 2 compared to controls.
[1.3 ] Bacteroides is a common member of the gut microbiome and plays important, symbiotic roles, such as modulation and regulation of the immune system, maintenance of intestinal integrity, and carbohydrate digestion.
- Bacteroides organisms are major producers of short-chain fatty acids, which have been shown to support host immune homeostasis both locally and systemically
- γ-aminobutyric acid (#GABA ) production by human-derived Bacteroides is widespread, and there is a correlation between brain signatures of depression and fecal Bacteroides levels in patients with #Major depressive disorder .
[1.4 ] [#Non-alcoholic fatty liver disease ] Bacteroides species have been reported to be protective against MAFLD
[#Steatohepatitis ] - Bacteroides was negatively associated with advanced steatosis
- Some species of Bacteroides have been associated with progression to advanced liver fibrosis
[1.5 ] Bacteroides predominate with protein and #Animal fat consumption .
[1.6 ] [#Galactooligosaccharides & modified mogrosides Sweetener ] #Bifidobacterium , Bacteroides , #Enterococcus , and #Clostridium coccoides .
- significant increase in production of SCFA in mMV-GOS at 10 h of fermentation, mainly seen in #Acetate and #Propionate production
[1.7 ] [#Alzheimer’s disease ] Bacteroides and #Faecalibacterium may improve cognitive levels
[1.8 ] #Oscillospira and #Coprococcus in the cecum, as well as #Faecalibacterium prausnitzii and members of the genus Bacteroides in the ileum > negatively correlated with #Fibrosis .
[1.9 ] [#Carbohydrate diet , #High protein / animal fat diets ] Bacteroides , whereas diets high in carbohydrates are associated with a high prevalence of #Prevotella
[#Chronic fatigue syndrome ] - Several studies reported a reduction of a butyrate-producing Bacteroides species in ME/CFS
[#Resistant starch ] - RS consumption was associated with an increased abundance of either Bacteroides or #Prevotella transcripts.
[1.11 ] #Butyrate inhibits gut microbiome Bacteroides
- #Butyrate inhibition depends on which #Sugar a given Bacteroides strain uses
- Core genome variation in Acyl-CoA enzymes mediates #Butyrate defense
- Each Bacteroides unique fitness landscape unpredictable by interaction of ecosystem parts
[1.12 ] #Firmicutes and Bacteroides are the main #Butyrate producing phyla
[1.13 ] [#Diabetes Type 1 ] [#Lipopolysaccharide ] Bacteroides MAGs (metagenome-assembled genomes) and #Sulfate reduction in #Anaerostipes MAGs as functional signatures of MAGs with positive IA-association (Islets autoantibody)
[#Diabetes Type 1 ] [#Lipopolysaccharide ] - LPS produced by the Bacteroides species in gut microbiota has immunoinhibitory properties that may impede early immune education and contribute to the development of T1D.
[1.14 ] #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.
[1.15 ] [#Parkinson’s Disease ] Bacteroides (Gram-negative bacteria present in the gut microbiome) is associated with the severity of motor symptoms in PD
[1.16 ] [#Irritable bowel syndrome ] #Methanobacteriales and #Prevotella enterotype, and abundance of Bacteroides enterotype.
- Bacteroides were found to be increased in patients with IBS-D and were associated with mucosal low-grade inflammation.
[1.17 ] [#Animal fat consumption ] Bacteroides -dominated enterotype was present
[1.18 ] [#Lipopolysaccharide ] [#Antibiotic Therapy , #Condition of chronic stress ] Bacteroides and increased abundance of the genus #Clostridium . This was accompanied by increased circulating levels of IL-6 and monocyte chemoattractant protein 1 (MCP-1).
- In a follow-up experiment, animals were fed an antibiotic cocktail in the morning and evening by oral gavage, beginning three days before the stressor and continuing to the end of the experiment. Antibiotic treatment prevented the increases in IL-6 and MCP-1.
- mice receiving the stressor had elevated hepatic portal blood levels of LPS (from the gastrointestinal draining vein) and elevated mRNA expression of IL-1β, IL-6, and TNF in the hypothalamus, though no changes in circulating cytokines. Pretreatment with L. farciminis, antibiotics, and ML-7 all prevented these increases.
[1.19 ] [#CVD ] [#Short Chain Fatty Acid ] [#Probiotic , #Probiotic (Bifidobacter and Lactobacilus) ] #Bile Acids can decrease #Cholesterol levels by regulating #Cholesterol metabolism.
- Microbial #Bile Salt hydrolases can increase #Cholesterol disposal rates by accelerating its conversion to #Bile Acids .
- Probiotics from the genera Lactobacillus and Bifidobacterium are efficient reducers of #Cholesterol levels in clinical studies.
- Several candidate next-generation probiotics, including #Akkermansia muciniphila , Bacteroides spp., #Clostridium spp., #Christensenella minuta , Eubacterium spp., and #Faecalibacterium prausnitzii , have been shown to decrease #Cholesterol levels in human or animal studies.
- At the genus level, #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.
[1.21 ] [#Graves’ disease , #Graves’ orbitopathy ] #Actinobacteria were significantly increased and Bacteroidetes significantly decreased in GD/GO compared with HC.
- Bacteroides displayed positive and negative correlations with TSH and FT4 respectively and was also significantly associated with #Smoking in GO, #Smoking is a risk factor for GO but not GD.
[1.22 ] [#Diabetes Type 2 ] #Blautia was one of the most represented genera in both groups enriched in group T2D.
- #Lachnoclostridium were more abundant in the microbiome profiles of diabetic patients.
- There are anomalies in the genera Bacteroides and #Prevotella , both of which are increased in the T2D, both genera are #Propionate producers.
[1.23 ] [#Cesarean section , #Vaginally delivery ] Bacteroides indeed disappears around week 1 of life in CS-born infants after initial colonization, whereas colonization persists in those vaginally born.
[1.24 ] [#Polyphenol ] [#Polyphenol-rich supplementation ] #Quercetin , chlorogenic acid, and #Caffeic acid ) can reduce the ratio of #Firmicutes to Bacteroides in in vitro gut microbiota experiments.
[1.25 ] [#Colitis , #Diabetes Type 1 ] Bacteroides is almost identical to a protein expressed by insulin-producing cells in the pancreas.
- The CD8 lymphocytes can mistakenly attack the pancreatic cells and cause type 1 diabetes.
Intervention in Disease
Author: MetaBiomIdentifier: 10000109URL: https://www.metabiom.org/microbiota/8/bacteroidesKeywords: Microbiome, Dysbiosis, Microbiota, Organism, Bacteria
Common References
[1.1 ] Gut microbiome pattern reflects healthy ageing and predicts survival in humans 80001714 ]
[1.2 ] The Role of Gut Microbiota in the High-Risk Construct of Severe Mental Disorders: A Mini Review 80001729 ]
[1.3 ] A Distinct Microbiome Signature in Posttreatment Lyme Disease Patients 80001737 ]
[1.4 ] Gut microbiome profiles associated with steatosis severity in metabolic associated fatty liver disease 80001824 ]
[1.5 ] Diet, obesity, and the gut microbiome as determinants modulating metabolic outcomes in a non-human primate model 80001840 ]
[1.6 ] Prebiotic Potential of a New Sweetener Based on Galactooligosaccharides and Modified Mogrosides 80001847 ]
[1.7 ] Composition of intestinal flora affects the risk relationship between Alzheimer’s disease/Parkinson’s disease and cancer 80002199 ]
[1.8 ] Gut Microbiome and Organ Fibrosis 80002265 ]
[1.9 ] The Gut Microbiome in Myalgic Encephalomyelitis (ME)/Chronic Fatigue Syndrome (CFS) 80002273 ]
[1.10 ] Resistant starch type 2 and whole grain maize flours enrich different intestinal bacteria and metatranscriptomes 80002313 ]
[1.11 ] Strain-level fitness in the gut microbiome is an emergent property of glycans and a single metabolite 80002317 ]
[1.12 ] Role of Butyrate, a Gut Microbiota Derived Metabolite, in Cardiovascular Diseases: A comprehensive narrative review 80002402 ]
[1.13 ] Islet autoantibody seroconversion in type-1 diabetes is associated with metagenome-assembled genomes in infant gut microbiomes 80002455 ]
[1.14 ] Bladder Tissue Microbiome Composition in Patients of Bladder Cancer or Benign Prostatic Hyperplasia and Related Human Beta Defensin Levels 80002488 ]
[1.15 ] Nutrition and Gut–Brain Pathways Impacting the Onset of Parkinson’s Disease 80002546 ]
[1.16 ] Gut microbiota signatures and modulation in irritable bowel syndrome 80002578 ]
[1.17 ] Correlation between human gut microbiome and diseases 80002594 ]
[1.18 ] Finding intestinal fortitude: Integrating the microbiome into a holistic view of depression mechanisms, treatment, and resilience 80002658 ]
[1.19 ] Gut microbiome-mediated mechanisms for reducing cholesterol levels: implications for ameliorating cardiovascular disease 80002694 ]
[1.20 ] Alteration of faecal microbiota balance related to long-term deep meditation 80002709 ]
[1.21 ] Gut microbiome associated with Graves’ disease and Graves’ orbitopathy: the INDIGO multi-centre European study 80002719 ]
[1.22 ] Variation of butyrate production in the gut microbiome in type 2 diabetes patients 80002763 ]
[1.23 ] Mother-to-infant microbiota transmission and infant microbiota development across multiple body sites 80002803 ]
[1.24 ] Dietary Polyphenol, Gut Microbiota, and Health Benefits 80002820 ]
[1.25 ] A Gut Microbial Mimic that Hijacks Diabetogenic
Autoreactivity to Suppress Colitis 80000054 ]
[1.26 ] Skin microbiome differences relate to the grade of acne vulgaris 80001179 ]
[1.27 ] Persistent gut microbial dysbiosis in children with acute lymphoblastic leukemia (ALL) during chemotherapy 80001424 ]
[1.28 ] Gut microbiota compositional and functional fingerprint in patients with alcohol use disorder and alcohol-associated liver disease 80001386 ]
[1.29 ] Gut microbiota alterations in Alzheimer’s Disease 80000621 ]
[1.30 ] Stratification of the Gut Microbiota Composition Landscape across the Alzheimer’s Disease Continuum in a Turkish Cohort 80002303 ]
[1.31 ] Alterations in the human gut microbiome in anti-N-methyl-D-aspartate receptor encephalitis 80001157 ]
[1.32 ] Lower airway microbiota and mycobiota in children with sever asthma 80001065 ]
[1.33 ] Gut microbiota profile in children affected by atopic dermatitis and evaluation of intestinal persistence of a probiotic mixture 80000949 ]
[1.34 ] Helicobacter pylori infection aggravates dysbiosis of gut microbiome in children with gastritis 80001277 ]
[1.35 ] Differences in fecal microbial metabolites and microbiota of children with autism spectrum disorders 80000798 ]
[1.36 ] Disturbance of trace element and gut microbiota profiles as indicators of autism spectrum disorder: a pilot study of Chinese children 80000909 ]
[1.37 ] Gut microbiota changes in patients with bipolar depression 80001106 ]
[1.38 ] Duodenal and faecal microbiota of celiac children: molecular, phenotype and metabolome characterization. 80000529 ]
[1.39 ] Imbalance in the composition of the duodenal microbiota in children with coeliac disease 80000827 ]
[1.40 ] Alteration of the gut microbiota in Chinese population with chronic kidney disease 80000616 ]
[1.41 ] Gut microbiome patterns depending on children’s psychosocial stress: reports versus biomarkers 80001328 ]
[1.42 ] Alterations of Bacteroides sp., Neisseria sp., Actinomyces sp., and Streptococcus sp. populations in the oropharyngeal microbiome are associated with liver cirrhosis and pneumonia. 80000609 ]
[1.43 ] Hepatocellular carcinoma is associated with gut microbiota profile and inflammation in nonalcoholic fatty liver disease 80000791 ]
[1.44 ] The gut microbiota in collagenous colitis shares characteristics with inflammatory bowel diseas-associated dysbiosis 80001117 ]
[1.45 ] Microbial dysbiosis in colorectal cancer (CRC) patients 80000252 ]
[1.46 ] Microbiota disbiosis is associated with colorectal cancer. 80000302 ]
[1.47 ] The intestinal microbiota associated with cardiac valve calcification differs from that of coronary artery disease 80000915 ]
[1.48 ] The altered gut microbiota in adults with cystic fibrosis 80000425 ]
[1.49 ] Gut microbiota in children with type 1 diabetes differs from that in healthy children: a case-control study 80000311 ]
[1.50 ] How ocular surface microbiota debuts in type 2 diabetes mellitus 80001133 ]
[1.51 ] Understanding the gut-kidney axis among biopsy-proven diabetic nephropathy, type 2 diabetes mellitus and healthy controls: an analysis of the gut microbiota composition 80001227 ]
[1.52 ] Identification of an intestinal microbiota signature associated with hospitalized patients with diarrhea 80001053 ]
[1.53 ] Potential contribution of the uterine microbiome in the development of endometrial cancer. 80000482 ]
[1.54 ] Alteration in the gastric microbiota and its restoration by probiotics in patients with functional dyspepsia 80000622 ]
[1.55 ] Detection of microbial 16S rRNA gene in the serum of patients with gastric cancer 80001153 ]
[1.56 ] Association between fecal microbiota and generalized anxiety disorder: severity and early treatment response 80001071 ]
[1.57 ] Microbiome and its relation to gestational diabetes 80000966 ]
[1.58 ] Altered gut microbiota in Chinese children with autism spectrum disorders_DUBLICATE 80000977 ]
[1.59 ] Gut microbiota dysbiosis in patients with hepatitis B virus-induced chronic liver disease covering chronic hepatitis, liver cirrhosis and hepatocellular carcinoma 80001388 ]
[1.60 ] Specificities of the fecal microbiota in inflammatory bowel disease 80000283 ]
[1.61 ] Alterations of microbiota in urine from women with interstitial cystitis 80000409 ]
[1.62 ] Fecal microbiota in patients with irritable bowel syndrome compared with healthy controls using real-time polymerase chain reaction: an evidence of dysbiosis. 80000236 ]
[1.63 ] Higher Intakes of Potassium and Magnesium, but Not Lower Sodium, Reduce Cardiovascular Risk in the Framingham Offspring Study 80002345 ]
[1.64 ] Structural alterations of faecal and mucosa-associated bacterial communities in irritable bowel syndrome 80000629 ]
[1.65 ] Evidence for a distinct gut microbiome in kidney stone formers compared to non-stone formers 80000544 ]
[1.66 ] Specific gut microbiome signature predicts the early-stage lung cancer 80001413 ]
[1.67 ] Landscapes of bacterial and metabolic signatures and their interaction in major depressive disorders 80001465 ]
[1.68 ] Menopause Is Associated with an Altered Gut Microbiome and Estrobolome, with Implications for Adverse Cardiometabolic Risk in the Hispanic Community Health Study/Study of Latinos 80002528 ]
[1.69 ] Gut microbiota in early pediatric multiple sclerosis: a case-control study 80000269 ]
[1.70 ] Fecal and blood microbial 16S rRNA gene alteration in Chinese patients with multiple system atrophy and its subtypes 80001176 ]
[1.71 ] Fecal microbiota profile in a group of myasthenia gravis patients 80000824 ]
[1.72 ] Gut microbiome analysis in Neuromyelitis Optica reveals overabundance of Clostridium perfringens 80000694 ]
[1.73 ] The severity of Nonalcoholic Fatty Liver Disease is associated with gut dysbiosis and shift in the metabolic function of the gut microbiota 80000625 ]
[1.74 ] Discrepant gut microbiota markers for the classification of obesity-related metabolic abnormalities 80001220 ]
[1.75 ] Gut microbiota composition and bone mineral loss-epidemiologic evidence from individuals in Wuhan, China 80001182 ]
[1.76 ] Identification and characterization of blood and neutrophil-associated microbiomes in patients with severe acute pancreatitis using next-generation sequencing 80000703 ]
[1.77 ] Colonic bacterial composition in Parkinson’s Disease 80000275 ]
[1.78 ] Compositional and functional features of the female premenopausal and postmenopausal gut microbiota 80001233 ]
[1.79 ] Breast tissue, oral and urinary microbiomes in breast cancer 80000875 ]
[1.80 ] Preterm infant meconium microbiota transplant induces growth failure, inflammatory activation, and metabolic disturbances in germ-free mice 80002178 ]
[1.81 ] The cutaneous microbiome in hospitalized patients with pressure ulcers 80001347 ]
[1.82 ] Consistent alterations in faecal microbiomes of patients with primary sclerosing cholangitis independent of associated colitis 80001214 ]
[1.83 ] The Akkermansia muciniphila is a gut microbiota signature in psoriasis 80000744 ]
[1.84 ] Tissue-Associated Bacterial Alterations in Rectal Carcinoma Patients Revealed by 16S rRNA Community Profiling 80000432 ]
[1.85 ] Association between the oral microbiome and brain resting state connectivity in smokers 80001075 ]
[1.86 ] Gut microbiota dysbiosis in male patients with chronic traumatic complete spinal cord injury 80000938 ]
[1.87 ] Comparison of the ocular microbiome between chronic Stevens-Johnson syndrome patients and healthy subjects 80001339 ]
[1.88 ] Characteristics of fecal and mucosa-associated microbiota in Chinese patients with inflammatory bowel disease 80000665 ]
[1.89 ] Alterations of mucosal microbiota in the colon of patients with inflammatory bowel disease revealed by real time polymerase chain reaction amplification of 16S ribosomal ribonucleic acid. 80000597 ]
[1.90 ] The microbiome in urogenital schistosomiasis and induced bladder pathologies 80001012 ]
[1.91 ] Association study of gut flora in Wilson’s disease through high-throughput sequencing 80000863 ]
[1.92 ] Subgingival dysbiosis in smoker and non-smoker patients with chronic periodontitis 80000444 ]
[1.93 ] Temporal and long-term gut microbiota variation in allergic disease: a prospective study from infancy to school age 80001034 ]
[1.94 ] Mild cognitive impairment has similar alterations as Alzheimer’s disease in gut microbiota 80001081 ]
[1.95 ] Intestinal microbiota composition in patients with amyotrophic lateral sclerosis: establishment of bacterial and archaeal communities analyses 80001111 ]
[1.96 ] Sex-specific associations of infants’ gut microbiome with arsenic exposure in a US population 80000820 ]
[1.97 ] The gut microbiome in atherosclerotic cardiovascular disease 80000614 ]
[1.98 ] Associations between infant fungal and bacterial dysbiosis and childhood atopic wheeze in a nonindustrialized setting 80000733 ]
[1.99 ] Oral microbiota in autoimmune polyendocrine syndrome type 1 80000749 ]
[1.100 ] Gut microbial profile in biliary atresia: a case-control study 80001225 ]
[1.101 ] Profiling the urinary microbiota in male patients with bladder cancer in China_DUBLICATE 80001128 ]
[1.102 ] The fecal, oral, and skin microbiota of children with Chagas disease treated with benznidazole 80001023 ]
[1.103 ] Alterations of gut microbiota in cholestatic infants and their correlation with hepatic function 80000981 ]
[1.104 ] Characterization of intestinal microbiota in alcoholic patients with and without alcoholic hepatitis or chronic alcoholic pancreatitis 80000689 ]
[1.105 ] Dysbiosis of the gut microbiome is associated with CKD5 and correlated with clinical indices of the disease: a case-controlled study 80001101 ]
[1.106 ] Impact of cigarette smoking on the middle meatus microbiome in health and chronic rhinosinusitis 80000887 ]
[1.107 ] Gut microbiome and serum metabolome analyses identify unsaturated fatty acids and butanoate metabolism induced by gut microbiota in patients with chronic spontaneous urticaria 80001363 ]
[1.108 ] Intestinal lesions are associated with altered intestinal microbiome and are more frequent in children and young adults with cystic fibrosis and cirrhosis 80000573 ]
[1.109 ] Altered gut microbiota composition in subjects infected with Clonorchis sinensis 80000846 ]
[1.110 ] Gut microbiota composition and Clostridium difficile infection in hospitalized elderly individuals: a metagenomic study 80001033 ]
[1.111 ] Molecular characterization of mucosal adherent bacteria and associations with colorectal adenomas 80000590 ]
[1.112 ] The human gut microbiome as a screening tool for colorectal cancer 80000706 ]
[1.113 ] Gut mucosal microbiome across stages of colorectal carcinogenesis 80000724 ]
[1.114 ] Characterization of gut microbiota profiles in coronary artery disease patients using data mining analysis of terminal restriction fragment length polymorphism: gut microbiota could be a diagnostic marker of coronary artery disease 80000400 ]
[1.115 ] Mucosa-attached bacterial community in Crohn’s Disease coheres with the Clinical Disease Activity Index 80000447 ]
[1.116 ] Reduced abundance of butyrate-producing bacteria species in the fecal microbial community in Crohn’s Disease. 80000250 ]
[1.117 ] Fungal dysbiosis in mucosa-associated microbiota of Crohn’s disease patients 80000760 ]
[1.118 ] Molecular-phylogenetic characterization of the microbiota in ulcerated and non-ulcerated regions in the patients with Crohn’s Disease 80000576 ]
[1.119 ] Altered stool microbiota of infants with cystic fibrosis shows a reduction in genera associated with immune programming from birth 80001174 ]
[1.120 ] Gut microbiome and serum metabolome analyses identify molecular biomarkers and altered glutamate metabolism in fibromyalgia 80001184 ]
[1.121 ] Gallstone Disease and Bacterial Metabolic Performance of Gut Microbiota in Middle-Aged and Older Patients 80002433 ]
[1.122 ] Gut microbiota shifts in patients with gastric cancer in perioperative period 80001110 ]
[1.123 ] Reduced anti-inflammatory gut microbiota are associated with depression and anhedonia 80001308 ]
[1.124 ] Alterations of the gut microbiota in Hashimoto’s Thyroiditis patients 80000751 ]
[1.125 ] Gut microbial dysbiosis is associated with altered hepatic functions and serum metabolites in chronic hepatitis B patients 80000704 ]
[1.126 ] Effects of HIV viremia on the gastrointestinal microbiome of young MSM 80000959 ]
[1.127 ] A compositional look at the human gastrointestinal microbiome and immune activation parameters in HIV infected subjects. 80000332 ]
[1.128 ] An altered intestinal mucosal microbiome in HIV-1 infection is associated with mucosal and systemic immune activation and endotoxemia. 80000343 ]
[1.129 ] Evidence of dysbiosis in the intestinal microbial ecosystem of children and adolescents with primary hyperlipidemia and the potential role of regular hazelnut intake 80000699 ]
[1.130 ] The gut microbiome in epilepsy 80001252 ]
[1.131 ] Altered fecal bacterial composition correlates with disease activity in inflammatory bowel disease and the extent of IL8 induction 80001085 ]
[1.132 ] An irritable bowel syndrome subtype defined by species-specific alterations in faecal microbiota 80000591 ]
[1.133 ] Mucosal microbiome profiles polygenic irritable bowel syndrome in Mestizo individuals 80001366 ]
[1.134 ] Altered fecal microbiota composition in patients with major depressive disorder. 80000265 ]
[1.135 ] Alterations of the gut microbiota in borderline personality disorder 80002445 ]
[1.136 ] Conjuctival dysbiosis in mucosa-associated lyphoid tissue lymphoma 80001109 ]
[1.137 ] Nonalcoholic fatty liver disease is associated with dysbiosis independent of body mass index and insulin resistance 80000685 ]
[1.138 ] Differential adaptation of human gut microbiota to bariatric surgery-induced weight loss 80001231 ]
[1.139 ] Dysbiosis of saliva microbiome in patients with oral lichen planus 80001332 ]
[1.140 ] Dysbiosis of gut microbiota associated with clinical parameters in polycistic ovary syndrome 80000443 ]
[1.141 ] Distinct microbiome in pouchitis compared to healthy pouches in ulcerative colitis and familial adenomatous polyposis. 80000242 ]
[1.142 ] Intestinal microbiota is different in women with preterm birth: results from terminal restriction fragment length polymorphism analysis. 80000402 ]
[1.143 ] Comprehensive analysis of serum and fecal bile acid profiles and interaction with gut microbiota in primary biliary cholangitis 80000962 ]
[1.144 ] A pilot study of fecal bile acid and microbiota profiles in inflammatory bowel disease and primary sclerosing cholangitis 80000964 ]
[1.145 ] Gut microbial composition in patients with psoriasis 80000690 ]
[1.146 ] Gut microbial dysbiosis is associated with development and progression of radiation enteritis during pelvic radiotherapy 80001170 ]
[1.147 ] Altered gut microbiota in Rett syndrome 80000534 ]
[1.148 ] Variations in oral microbiome profiles in rheumatoid arthritis and osteoarthritis with potential biomarkers for arthritis screening 80000809 ]
[1.149 ] Malassezia and Staphylococcus dominate scalp microbiome for seborrheic dermatitis 80001287 ]
[1.150 ] Fecal microbiota signatures of adult patients with different types of short bowel syndrome 80000662 ]
[1.151 ] Alterations in the gut microbiota of patients with silica-induced pulmonary fibrosis 80000939 ]
[1.152 ] Altered mucosal microbiome diversity and disease severity in Sjögren Syndrome 80000347 ]
[1.153 ] Dysbiosis of gut microbiota and short-chain fatty acids in acute ischemic stroke and the subsequent risk for poor functional outcomes 80001423 ]
[1.154 ] Alterations in the gut microbiota and metabolite profiles of thyroid carcinoma patients 80000975 ]
[1.155 ] Dysbiosis of gut microbiota with reduced tremethylamine-N-oxide level in patients with large-artery atherosclerotic stroke or transient ischemic attack._DUBLICATE 80000456 ]
[1.156 ] Terminal Restriction Fragment length Polymorphism Analysis of the Gut Microbiota Profiles of Pediatric Patients with Inflammatory Bowel Disease 80000619 ]
[1.157 ] Dysbiosis in the gut bacterial microbiome of patients with Uveitis, an inflammatory disease of the eye 80000796 ]
[1.158 ] Faecal microbial dysbiosis in children with Wiskott-Aldrich syndrome 80001296 ]
[1.159 ] 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 ]
[1.160 ] Gut microbiota associations with diet in irritable bowel syndrome and the effect of low FODMAP diet and probiotics 80001454 ]
[1.161 ] Maternal exposures and the infant gut microbiome: a systematic review with meta-analysis 80001848 ]
[1.162 ] An open label, non-randomized study assessing a prebiotic fiber intervention in a small cohort of Parkinson’s disease participants 80002769 ]
[1.163 ] Pharmacomicrobiomics: exploiting the drug-microbiota interactions in anticancer therapies 80000217 ]
[1.164 ] How Discrimination Gets Under the Skin: Biological Determinants of Discrimination Associated with Dysregulation of the Brain-Gut Microbiome System and Psychological Symptoms 80002702 ]
[1.165 ] Effects of Heat Stress on Gut Microbiome in Rats 80002087 ]
[1.166 ] Drinking Water Source and Intake Are Associated with Distinct Gut Microbiota Signatures in US and UK Populations 80002257 ]
[1.167 ] A complete guide to human microbiomes: Body niches, transmission, development, dysbiosis, and restoration 80002487 ]
[1.168 ] Beneficial reconstitution of gut microbiota and control of alpha-synuclein and curli-amyloids-producing enterobacteria, by beta 1,3-1,6 glucans in a clinical pilot study of autism and potentials in neurodegenerative diseases 80002371 ]
[1.169 ] Family SES Is Associated with the Gut Microbiome in Infants and Children 80002079 ]
[1.170 ] [2022] [Study] [80002279 ]
[1.171 ] Gut Microbiota-Derived Tryptophan Metabolites Maintain Gut and Systemic Homeostasis 80002575 ]
