Disease
Microbiota ☳
Metabolome
Factor
Bacteroidaceae ⇒ Bacteroides {10000109}
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Definition: Bacteroides
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Initialisation date: 2020-09-06
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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
- 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 ] [#Metabolic associated 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 ] [#Human gammaherpesvirus 4 ] #Tomato > Fruitflow when administered over 4 wk at 2×150 mg Fruitflow per d > Significant changes in relative abundance of microbial taxa with Fruitflow, such as decreases in Bacteroides , Ruminococccus, and #Hungatella related OTUs, as well as increases in #Alistipes which are all known for the involvement in #TMA /#TMAO metabolism.
[1.23 ] [#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.
[1.24 ] [#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.
[1.25 ] [#Polyphenol-rich supplementation ] #Polyphenols (rutin, #Quercetin , chlorogenic acid, and #Caffeic acid ) can reduce the ratio of #Firmicutes to Bacteroides in in vitro gut microbiota experiments.
[1.26 ] #Enterobacter abundance was significantly decreased by the addition of #Ginger , #Onion , and #Pumpkin .
- Bacteroides was significantly decreased by the addition of #Pumpkin .
[#Breast cancer ] - #Enterobacter , Bacteroides , and #Bifidobacterium were more abundant in patients with BC.
- #Pseudomonas , #Staphylococcus , #Acinetobacter , and #Corynebacterium 1 were more abundant in healthy controls.
[1.27 ] [#Bipolar disorder , #Major depressive disorder , #Schizophrenia ] #Alistipes and #Parabacteroides and lower #Prevotella ; BD by higher #Bifidobacterium and #Oscillibacter ; and SZ by higher #Prevotella and lower Bacteroides , #Haemophilus , and #Streptococcus
[#Bipolar disorder ] - Levels of #Faecalibacterium prausnitzii , Bacteroides –#Prevotella group, #Atopobium Cluster, #Enterobacter spp. and #Clostridium cluster IV were higher in BD patients than healthy subjects along with a reduced #Bifidobacteria to #Enterobacteriaceae ratio, having these changes a possible impact on brain function in these patients.
[1.28 ] [#High-protein diet ] #Clostridium , #Desulfovibrio , #Peptostreptococcus , #Acidaminococcus , #Veillonella , #Propionibacterium , Bacillus, Bacteroides , #Staphylococcus , and other species of the #Proteobacteria family, and the loss of carbohydrate fermenting bacteria such as Bacteroides , #Lactobacillus , #Bifidobacterium , #Prevotella , #Ruminococcus , #Roseburia , and #Faecalibacterium .
[1.29 ] [#Infants ] #Lactobacillus , #Clostridium , #Staphylococcus , #Streptococcus , Bacteroides , and #Bifidobacterium
- Certain microorganisms, including #Bifidobacterium , #Escherichia spp., Bacteroides , and #Parabacteroides , produce #GABA , which is an inhibitory neurotransmitter
[1.31 ] [#Animal fat consumption , #Beef protein high-fat diets (HFB) , #High protein / animal fat diets , #High satureted fat diet ] Bacteroides and low in #Prevotella , is found in individuals on a long-term Western diet high in animal protein, the nutrient #Choline , and saturated fat.
- The second enterotype is high in #Prevotella , low in Bacteroides , and associated with a #Plant-based diet rich in fiber, simple sugars, and plant-derived compounds.
[1.32 ] #Olive oil ingestion in rodents also can promote the growth of certain types of beneficial #Bacteria including species of #Lactobacillus , #Bifidobacterium , Bacteroides , and #Clostridium , and members of the Erysipelotrichaeae.
[#Short Chain Fatty Acid ] [#Olive ] - SCFAs, produced by a number of bacteria, such as Bacteroides and #Lactobacillus , which are often elevated with EVOO consumption, are also potent activators for GPR43
[#Olive ] - Bacteroides , which has been found to be elevated with EVOO consumption, correlates negatively with plasma #Triglyceride levels in mice and humans.
[1.33 ] [#Alzheimer’s disease ] Bacteroides , #Alistipes , #Odoribacter , and #Barnesiella and decreased proportions of #Lachnoclostridium were present in AD elders.
[1.34 ] [#Acute lymphoblastic leukemia ] [#Cesarean section ] Bacteroides spp.) > suppress Treg cell differentiation and compromise gut immune tolerance, leading to the promotion of pro-inflammatory responses.
[#Bacteroides ovatus , #Bacteroides uniformis ] [#Infants ] - Bacteroides species (for example, B. ovatus and B. uniformis), whose successful and timely colonization is determined by the mode of delivery, can have a profound impact on stool IgA levels during infancy.
[#Cesarean section ] - #Children born by C-section demonstrate reduced colonization stability of Bacteroides by day 14 and reduced abundance throughout infancy and up to 5 years of life.
- The low-Bacteroides profile of neonates delivered by C-section is accompanied by an increased relative abundance of opportunistic pathogens (for example, #Enterococcus spp. and #Klebsiella spp.)
[#Short Chain Fatty Acid ] [#Antibiotic Therapy ] - Intrapartum antibiotics exposure is associated with reduced relative abundance of Bacteroides and reduced levels of the SCFA #Propionate at birth, as well as increased relative abundance of potentially pathogenic #Proteobacteria .
[1.35 ] [#Animal fat consumption ] Bacteroides enterotype
- Bacteroides group splitted into two subgroups, Bacteroides 1 and Bacteroides2 , showed that the latter could be linked to lower gut microbial gene richness and clinical characteristics, including severe #Obesity and systemic inflammation
[1.36 ] [#Crohn’s disease ] [#Dorea longicatena , #Ruminococcus lactaris ] #Proteobacteria and harbored high levels of unusual, bacteria such as #Streptococcus mitis , #Undibacterium oligocarboniphilum, #Sphingomonas melonis and #Gemella haemolysans
- 6 months after surgery samples had elevated proportions of anaerobic bacteria belonging to #Lachnospiraceae (#Clostridium nexile, #Blautia wexlereae, #Dorea longicatena).
- Remission was characterized by increased levels of bacteria belonging to Bacteroides , #Dorea , #Ruminococcus and #Dialister genera, whereas recurrence was associated with increased levels of #Gemmiger formicilis , #Enterococcus durans and #Ruminococcus lactaris.
[1.37 ] [#Bacteroides fragilis , #Bacteroides thetaiotaomicron ] Bacteroides genus, although belonging to the normal gastrointestinal microbiota, can cause opportunistic infections if the integrity of the intestinal mucosal barrier is broken. These infections are usually polymicrobial, but B. fragilis and B. thetaiotaomicron are the most frequent species isolated.
[#Bile Acids ] - The majority of the #Bacteroidetes species fall into three genera: #Prevotella (bile-sensitive, moderately saccharolytic, with pigmented and nonpigmented species), #Porphyromonas (bile-sensitive, pigmented, asaccharolytic species), and Bacteroides (bile-resistant, nonpigmented, saccharolytic species).
[#Diabetes Type 1 ] - Studies have reported an increased quantity of #Villanella , #Clostridium , and Bacteroides and a decreased quantity of #Lactobacillus , #Eubacterium rectale , #Blautia coccoides , and #Bifidobacterium in #Children with type 1 diabetes.
[1.38 ] Bacteroides and #Faecalibacterium had relatively high prevalences and were more abundant in #Children with severe #Asthma .
- A similar correlation with high absolute tissue eosinophil counts and percentages of tissue eosinophils is also seen in the abundance of the genera #Parabacteroides , #Bifidobacterium , Bacteroides , #Microbacterium , #Faecalibacterium , #Lactococcus , #Desulfovibrio , and #Ruminococcus .
[#Eosinophilic chronic rhinosinusitis ] - nasal dysbiosis in eCRSwNP was defined by increased relative abundances of #Sphingomonas , #Moraxellaceae , Bacteroides , #Bifidobacterium , #Ruminococcus , and #Faecalibacterium , as well as by decreased abundances of #Ralstonia , #Propionibacterium , and Propionibacter.
[1.39 ] [#Animal-based diet ] #Animal protein intake is associated with increased relative abundance of #Alistipes and Bacteroides genera
[#Autism ] - #Prevotella , Bacteroides and #Bifidobacterium were predominantly associated with the cytokine differentials.
[1.41 ] Bacteroides , #Firmicutes , #Prevotella , #Bifidobacterium , or #Escherichia .
[1.42 ] [#Gastric carcinoma ] #Actinobacteria , Bacteroides , #Firmicutes , and #Fusobacteria
[#Pancreatic Cancer ] - pancreatic ductal adenocarcinoma samples have been shown to be enriched for #Proteobacteria , Bacteroides , and #Firmicutes compared to normal pancreatic tissue
[1.43 ] #Male Infertility > Bacteroides , #Romboutsia
- #Allisonella was positively associated with #Male Infertility .
[1.44 ] [#Vitamin B12 ] Bacteroides and #Prevotella , that aid in the synthesis of micronutrients, like #Vitamin K2 and B12
[1.45 ] #Leptin serum level was positively correlated with the abundance of #Bifidobacterium and ##Lactobacillus whereas #Leptin serum level was negatively correlated with #Clostridium , Bacteroides and, #Prevotella
[1.46 ] [#High protein / animal fat diets , #High fibre diet ] #Prevotella spp., whereas a protein and fat rich diet (low fiber) enriches Bacteroides spp.
[1.47 ] bacteroides was prevalent in the #Probiotic supplemented group in several cases, the background of which is unclear
[1.48 ] #Bacteroidetes phylum mainly consists of Bacteroides and #Prevotella .
- #Vogt-Koyanagi-Harada syndrome (VKH) > In this uveitis syndrome, a study demonstrated heightened levels of gram-negative bacteria, eg, Bacteroides and #Paraprevotella , in patients’ stools with a decrease in #Butyrate -producing bacteria.
[1.49 ] [#Systemic lupus erythematosus ] #Acholeplasma , #Capnocytophaga and #Leptotrichia were negatively correlated with SLEDAI score, and the abundance of Bacteroides , #Ruminococcus and #Akkermansia had an inverse correlation with the serum levels of complement C3
[#Systemic lupus erythematosus ] - SLE patients displayed higher serum levels of #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 .
- increased #Animal protein intake is associated with increased relative abundance of #Alistipes and Bacteroides genera
[1.51 ] [#Diabetes Type 2 ] [#Dipeptidyl peptidase 4 ] [#High Fat Diet ] Bacteroides spp.
- Gut microbial DPP4 (mDPP4) could degrade active #GLP-1 (7-37) in vitro.
- mDPP4 could not affect active #GLP-1 levels in chow-fed mice but could decrease active #GLP-1 activity and impair #Glucose homeostasis in high-fat diet (HFD)–fed mice or dextran #Sulfate sodium/indomethacin–treated mice, suggesting that a damaged gut barrier is required for mDPP4 to affect the activity of host #GLP-1 .
- Gut microbial DPP4 isozyme can impair host #Glucose homeostasis, and variations in microbial DPP4 activities could possibly contribute to the heterogeneous responses to sitagliptin observed among patients with T2D.
[1.52 ] [#Colorectal cancer ] [#Short Chain Fatty Acid ] [#Zizyphus jujuba cv. Muzao ] #Bifidobacterium , Bacteroides and #Lactobacillus .
[1.53 ] Bacteroides are usually commensal in the gut, but some strains of Bacteroides have been identified as opportunistic pathogens
- 60 bacterial genera from human gut microbiota (Bacteroides , #Bifidobacterium , #Escherichia , #Faecalibacterium , and #Lactobacillus ,) > encode β-glucuronidase and/or β-galactosidase > impacting endogenous #Estrogen metabolism
[#Polycystic ovary syndrome ] [#Bacteroides fragilis , #Escherichia coli ] - In patients with PCOS, there were enrichment of #Fusobacterium , #Escherichia , and Bacteroides at the genus level and Bacteroides fragilis and #Escherichia coli at the species level.
[1.54 ] [#Human breast milk , #Vaginally delivery ] #Cesarean section -delivered (CSD) #Infants differed from those of vaginally delivered (VD) #Infants , with decreased Bacteroides and #Escherichia -#Shigella and increased #Klebsiella , #Veillonella , and #Enterococcus .
- At 6 months postpartum, these delivery mode-induced microbial shifts were restored by exclusive breastfeeding, resulting in similar gut microbial profiles between VD and CSD #Infants who were exclusively breastfed and more variable gut microbial profiles between VD and CSD #Infants who were mixed fed.
[1.55 ] #Propionate with the phylum #Bacteroidota and many of its genera, including Bacteroides and #Parabacteroides .
[#Lachnospiracea ] - The relatively higher proportion of #Acetate and #Propionate in the #Inulin group could be partially explained by the higher abundance of #Parasutterella , Bacteroides , and #Parabacteroides , and as well as the lower prevalence of Lachnospiraceae_NK4A136 and #Faecalibaculum
[1.56 ] #Bifidobacterium , Bacteroides , and #Lactobacillus species that have high activities of #Bile Salt hydrolase, the enzyme responsible for the deconjugation of #Bile Acids .
[1.57 ] [#Animal-based diet , #Animal fat consumption ] #Firmicutes phyla and strains from the genus #Prevotella ; while levels of bile-tolerant, inflammation-associated #Proteobacteria , such as #Bilophila , and Bacteroides are increased
[#Plant-based diet ] - plant-rich diets are associated with greater microbial diversity with a dominance of #Prevotella over Bacteroides .
- #Apple #Pectin was three times more effective in promoting Bacteroides growth and overall microflora diversity than #Inulin
[1.58 ] [#Hepatocellular cancer ] [#Bacteroides-Prevotella group , #Clostridium clusters XIVa ] Bacteroides , #Lachnospiracea #Incertae sedis , and #Clostridium XIVa were higher in the gut of non-small-cell HCC group (higher tumor load) and could separate the non-small-cell liver cancer group from small-cell HCC group (lower tumor load)
[1.59 ] [#Anorexia nervosa ] [#Berberine ] #Ruminococcus gnavus and Ruminococcus schinkii and an increase in Bacteroides were observed in normal mice after treatment with BBR
- Enhanced #Pantothenic acid intake increased the relative abundance of #Prevotella and #Actinobacteria and decreased the abundance of Bacteroides in lactating women
- #Vitamin B12 supplementation in humans increased the relative abundance of #Prevotella , but decreased the abundance of Bacteroides
- more than 90% of other gut-associated Bacteroides possess the ability for #Thiamin biosynthesis and the #Thiamin transporter genes
- Bacteroides , do not have a #Vitamin B12 biosynthesis capability. However, most of them possess vitamin-B12-dependent enzymes
- the abundance of Bacteroides was decreased when the #Vitamin B6 intake was high
[1.61 ] #Butyrate formation by #Firmicutes .
- This process is called butyrogenic effect.
[1.62 ] [#Estrogen ] #Clostridia , but also other taxa including Bacteroides and #Bifidobacteria .
[1.63 ] [#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.
[#Tuberculosis ] - #Prevotella , which is better equipped to consume plant-derived carbohydrates, was markedly depleted in TB patients, while the abundance of Bacteroides was increased
[1.64 ] [#Bacteroides fragilis ] [#Keto diet ] Bacteroides increased significantly after KD intervention, especially Bacteroides fragilis.
[1.65 ] [#Human breast milk ] #Infants generally have a higher abundance of #Bifidobacterium and decreased abundance of Bacteroides and #Firmicutes compared to non-breastfed #Infants
[1.66 ] [#Atopic Dermatitis ] Bacteroides and an enrichment of #Clostridium sensu stricto 1 in the gut microbiome of #Infants with eczema at 1 year old.
[1.67 ] [#Prevotella copri ] Bacteroides .
[1.68 ] [#Attention Deficit Hyperactivity Disorder ] Bacteroides reportedly correlate with levels of hyperactivity and impulsivity in ADHD
[#Bacteroides-Prevotella group , #Ruminococcus gauvreauii ] [#Keto diet ] - The abundance of Ruminococcus_gauvreauii_group, Bacteroides , #Bifidobacterium , and #Blautia significantly increased, whereas that of #Lactobacillus , #Romboutsia , #Facklamia , and #Turicibacter significantly declined in the KD group compared with the ND group.
[1.69 ] [#Multiple Sclerosis ] #Mycoplasma , #Pseudomonas , #Faecalibacterium , #Haemophilus , #Anaerostipes , #Blautia , and #Dorea , while Bacteroides , #Prevotella , #Parabacteroides , and #Adlercreutzia are relatively less common.
[#Parkinson’s Disease ] [#Fiber-free diet , #Low fibre Diet ] - The lack of dietary fiber makes specialized taxa, which are equipped with glycan-degrading enzymes, such as #Akkermansia spp. or the Bacteriodetes genera #Alistipes spp. and Bacteroides spp.,65 switch to host #Glycans as energy resource, promoting mucus erosion and pathogens susceptibility.
[1.71 ] [#Carbohydrate diet ] #Fructose -rich diet, mice lost beneficial bacteria such as #Prevotella , #Muribaculum , and #Bifidobacterium
- These #Fructose -rich diet mice also showed an enrichment of #Desulfovibrio , #Collinsella , #Olsenella , and Bacteroides as well as increased frequency of immune cells with pro-inflammatory characteristics
[1.72 ] [#Primary immune thrombocytopenia ] #Actinomycetaceae , #Blautia , #Streptococcus , and #Lactobacillus are enriched, whereas bacteria such as Bacteroides are depleted in ITP patients.
[1.73 ] [#Non-Hodgkin lymphoma ] [#CAR T-cell therapy ] Bacteroides , #Ruminococcus , #Eubacterium and #Akkermansia were most important in determining CAR-T responsiveness, with #Akkermansia also being associated with pre-infusion peripheral T cell levels in these patients.
[1.74 ] [#Juvenile idiopathic arthritis ] [#Human breast milk ] #Acidaminococcales , #Prevotella 9, #Parabacteroides distasonis , and several ASVs belonging to Bacteroides , #Veillonella parvula , #Turicibacter sanguinis , #Eggerthella lenta , and P. distasonis.
[1.75 ] Bacteroides and #Clostridium have been reported to be capable of converting #Tryptophan into #Indole and #Indole derivatives
[1.76 ] #Menaquinone is produced by bacteria such as Bacteroides species
[1.77 ] #Keratitis patients contained significantly less #Actinobacteria and #Corynebacteria (determinate beneficial symbiotic #Bacteria ), but significantly more #Gammaproteobacteria , #Pseudomonas , Bacteroides , and EscherichiaShigella (common ocular pathogenic #Bacteria ).
[1.78 ] #Estrogen levels through the secretion of an enzyme called β-glucuronidase, which is encoded by several GM genera, including Bacteroides , #Bifidobacterium , #Escherichia , and #Lactobacillus
[1.79 ] Bacteroides , #Geobacillus , #Meiothermus , and #Anoxybacillus genera were significantly elevated in the biliary microbiota of patients with #Extrahepatic Cholangiocarcinoma
[#Colitis , #Diabetes Type 1 ] - The protein expressed by the 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 ] A water-soluble tomato extract rich in secondary plant metabolites lowers trimethylamine-n-oxide and modulates gut microbiota: a randomized, double-blind, placebo-controlled cross-over study in overweight and obese adults 80002731 ]
[1.23 ] Variation of butyrate production in the gut microbiome in type 2 diabetes patients 80002763 ]
[1.24 ] Mother-to-infant microbiota transmission and infant microbiota development across multiple body sites 80002803 ]
[1.25 ] Dietary Polyphenol, Gut Microbiota, and Health Benefits 80002820 ]
[1.26 ] Prediction of breast cancer using blood microbiome and identification of foods for breast cancer prevention 80002835 ]
[1.27 ] Microbiota–gut–brain axis mechanisms in the complex network of bipolar disorders: potential clinical implications and translational opportunities 80002837 ]
[1.28 ] Gut-Muscle Axis Exists and May Affect Skeletal Muscle Adaptation to Training 80002842 ]
[1.29 ] The role of human milk fats in shaping neonatal development and the early life gut microbiota 80002843 ]
[1.30 ] Comparative in-silico analysis of microbial dysbiosis discern potential metabolic link in neurodegenerative diseases 80002870 ]
[1.31 ] Gut Microbiome: Profound Implications for Diet and Disease 80002909 ]
[1.32 ] Extra-virgin olive oil and the gut-brain axis: influence on gut microbiota, mucosal immunity, and cardiometabolic and cognitive health 80002976 ]
[1.33 ] Alzheimer’s Disease Microbiome Is Associated with Dysregulation of the Anti-Inflammatory P-Glycoprotein Pathway 80000052 ]
[1.34 ] Gut microbiome immaturity and childhood acute lymphoblastic leukaemia 80003007 ]
[1.35 ] The association between gut microbiome and hypertension varies according to enterotypes: a Korean study 80003028 ]
[1.36 ] Alterations of gut microbiome following gastrointestinal surgical procedures and their potential complications 80003038 ]
[1.37 ] Gut Microbiome–Brain Alliance: A Landscape View into Mental and Gastrointestinal Health and Disorders 80003039 ]
[1.38 ] Alterations of nasal microbiome in eosinophilic chronic rhinosinusitis 80003049 ]
[1.39 ] Assessing the Performance of a Novel Stool-Based Microbiome Test That Predicts Response to First Line Immune Checkpoint Inhibitors in Multiple Cancer Types 80003055 ]
[1.40 ] Multi-level analysis of the gut–brain axis shows autism spectrum disorder-associated molecular and microbial profiles 80003060 ]
[1.41 ] Enterosignatures define common bacterial guilds in the human gut microbiome 80003072 ]
[1.42 ] The Local Microbiome in Esophageal Cancer and Treatment Response: A Review of Emerging Data and Future Directions 80003096 ]
[1.43 ] A two-sample mendelian randomization analysis investigates associations between gut microbiota and infertility 80003103 ]
[1.44 ] Microbial-Derived Tryptophan Metabolites and Their Role in Neurological Disease: Anthranilic Acid and Anthranilic Acid Derivatives 80003110 ]
[1.45 ] Targeting gut microbiota in osteoporosis: impact of the microbial based functional food ingredients 80003111 ]
[1.46 ] Intestinal mucus and their glycans: A habitat for thriving microbiota 80003113 ]
[1.47 ] Probiotic supplementation during antibiotic treatment is unjustified in maintaining the gut microbiome diversity: a systematic review and meta-analysis 80003119 ]
[1.48 ] The Link Between Gastrointestinal Microbiome and Ocular Disorders 80003145 ]
[1.49 ] Gut microbiota: a newly identified environmental factor in systemic lupus erythematosus 80003157 ]
[1.50 ] Gut microbiome and nutrition-related predictors of response to immunotherapy in cancer: making sense of the puzzle 80003179 ]
[1.51 ] Microbial-host-isozyme analyses reveal microbial DPP4 as a potential antidiabetic target 80003180 ]
[1.52 ] Microbiome-metabolomic analysis of the impact of Zizyphus jujuba cv. Muzao polysaccharides consumption on colorectal cancer mice fecal microbiota and metabolites 80003193 ]
[1.53 ] Perturbations in gut microbiota composition in patients with polycystic ovary syndrome: a systematic review and meta-analysis 80003217 ]
[1.54 ] A health-promoting role of exclusive breastfeeding on infants through restoring delivery mode-induced gut microbiota perturbations 80003235 ]
[1.55 ] Resistant starches from dietary pulses modulate the gut metabolome in association with microbiome in a humanized murine model of ageing 80003237 ]
[1.56 ] Relationship between Oat Consumption, Gut Microbiota Modulation, and Short-Chain Fatty Acid Synthesis: An Integrative Review 80003252 ]
[1.57 ] Gut microbiome changes induced by a diet rich in fruits and vegetables 80003292 ]
[1.58 ] The Role of Gut Microbiome in Hepatocellular Carcinoma: A Systematic Review 80003301 ]
[1.59 ] Interactions between gut microbiota and berberine, a necessary procedure to understand the mechanisms of berberine 80003303 ]
[1.60 ] B Vitamins and Their Roles in Gut Health 80003304 ]
[1.61 ] Prebiotics: Definition, Types, Sources, Mechanisms, and Clinical Applications 80003325 ]
[1.62 ] Never fear, the gut bacteria are here: Estrogen and gut microbiome-brain axis interactions in fear extinction 80003326 ]
[1.63 ] Host Microbiome in tuberculosis: Disease, treatment, and immunity perspectives 80003344 ]
[1.64 ] Effects of ketogenic diet on the classification and functional composition of intestinal flora in children with mitochondrial epilepsy 80003355 ]
[1.65 ] A comparison of the infant gut microbiome before versus after the start of the covid-19 pandemic 80003369 ]
[1.66 ] Development of the early-life gut microbiome and associations with eczema in a prospective Chinese cohort 80003377 ]
[1.67 ] The curious case of Prevotella copri 80003381 ]
[1.68 ] Ketogenic diet ameliorates attention deficit hyperactivity disorder in rats via regulating gut microbiota 80003382 ]
[1.69 ] Neuropsychiatric and Neurological Diseases in Relation to the Microbiota-Gut-Brain Axis: From Research to Clinical Care 80003409 ]
[1.70 ] Fiber deprivation and microbiome-borne curli shift gut bacterial populations and accelerate disease in a mouse model of Parkinson’s disease 80003413 ]
[1.71 ] Diet‐microbiome‐immune interplay in multiple sclerosis: Understanding the impact of phytoestrogen metabolizing gut bacteria 80003449 ]
[1.72 ] Gut Microbiome and Metabolome Were Altered and Strongly Associated With Platelet Count in Adult Patients With Primary Immune Thrombocytopenia 80003463 ]
[1.73 ] A non-antibiotic-disrupted gut microbiome is associated with clinical responses to CD19-CAR-T cell cancer immunotherapy 80003470 ]
[1.74 ] Infant gut microbiota and environment associate with juvenile idiopathic arthritis many years prior to disease onset, especially in genetically vulnerable children 80003477 ]
[1.75 ] A review of the interaction between diet composition and gut microbiota and its impact on associated disease 80003491 ]
[1.76 ] Oral Microbiota: The Influences and Interactions of Saliva, IgA, and Dietary Factors in Health and Disease 80003499 ]
[1.77 ] Ocular microbial dysbiosis and its linkage with infectious keratitis patients in Northwest China: A cross-sectional study 80003511 ]
[1.78 ] Microbiota Transplant and Gynecological Disorders: The Bridge between Present and Future Treatments 80003532 ]
[1.79 ] Interplay between the Human Microbiome and Biliary Tract Cancer: Implications for Pathogenesis and Therapy 80003588 ]
[1.80 ] A Gut Microbial Mimic that Hijacks Diabetogenic
Autoreactivity to Suppress Colitis 80000054 ]
[1.81 ] Skin microbiome differences relate to the grade of acne vulgaris 80001179 ]
[1.82 ] Persistent gut microbial dysbiosis in children with acute lymphoblastic leukemia (ALL) during chemotherapy 80001424 ]
[1.83 ] Gut microbiota compositional and functional fingerprint in patients with alcohol use disorder and alcohol-associated liver disease 80001386 ]
[1.84 ] Gut microbiota alterations in Alzheimer’s Disease 80000621 ]
[1.85 ] Stratification of the Gut Microbiota Composition Landscape across the Alzheimer’s Disease Continuum in a Turkish Cohort 80002303 ]
[1.86 ] Alterations in the human gut microbiome in anti-N-methyl-D-aspartate receptor encephalitis 80001157 ]
[1.87 ] Lower airway microbiota and mycobiota in children with sever asthma 80001065 ]
[1.88 ] Gut microbiota profile in children affected by atopic dermatitis and evaluation of intestinal persistence of a probiotic mixture 80000949 ]
[1.89 ] Helicobacter pylori infection aggravates dysbiosis of gut microbiome in children with gastritis 80001277 ]
[1.90 ] Differences in fecal microbial metabolites and microbiota of children with autism spectrum disorders 80000798 ]
[1.91 ] Disturbance of trace element and gut microbiota profiles as indicators of autism spectrum disorder: a pilot study of Chinese children 80000909 ]
[1.92 ] Gut microbiota changes in patients with bipolar depression 80001106 ]
[1.93 ] Duodenal and faecal microbiota of celiac children: molecular, phenotype and metabolome characterization. 80000529 ]
[1.94 ] Imbalance in the composition of the duodenal microbiota in children with coeliac disease 80000827 ]
[1.95 ] Alteration of the gut microbiota in Chinese population with chronic kidney disease 80000616 ]
[1.96 ] Gut microbiome patterns depending on children’s psychosocial stress: reports versus biomarkers 80001328 ]
[1.97 ] Alterations of Bacteroides sp., Neisseria sp., Actinomyces sp., and Streptococcus sp. populations in the oropharyngeal microbiome are associated with liver cirrhosis and pneumonia. 80000609 ]
[1.98 ] Hepatocellular carcinoma is associated with gut microbiota profile and inflammation in nonalcoholic fatty liver disease 80000791 ]
[1.99 ] The gut microbiota in collagenous colitis shares characteristics with inflammatory bowel diseas-associated dysbiosis 80001117 ]
[1.100 ] Microbial dysbiosis in colorectal cancer (CRC) patients 80000252 ]
[1.101 ] Microbiota disbiosis is associated with colorectal cancer. 80000302 ]
[1.102 ] The intestinal microbiota associated with cardiac valve calcification differs from that of coronary artery disease 80000915 ]
[1.103 ] The altered gut microbiota in adults with cystic fibrosis 80000425 ]
[1.104 ] Gut microbiota in children with type 1 diabetes differs from that in healthy children: a case-control study 80000311 ]
[1.105 ] How ocular surface microbiota debuts in type 2 diabetes mellitus 80001133 ]
[1.106 ] 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 ]
[1.107 ] Identification of an intestinal microbiota signature associated with hospitalized patients with diarrhea 80001053 ]
[1.108 ] Potential contribution of the uterine microbiome in the development of endometrial cancer. 80000482 ]
[1.109 ] Alteration in the gastric microbiota and its restoration by probiotics in patients with functional dyspepsia 80000622 ]
[1.110 ] Detection of microbial 16S rRNA gene in the serum of patients with gastric cancer 80001153 ]
[1.111 ] Association between fecal microbiota and generalized anxiety disorder: severity and early treatment response 80001071 ]
[1.112 ] Microbiome and its relation to gestational diabetes 80000966 ]
[1.113 ] Altered gut microbiota in Chinese children with autism spectrum disorders_DUBLICATE 80000977 ]
[1.114 ] Gut microbiota dysbiosis in patients with hepatitis B virus-induced chronic liver disease covering chronic hepatitis, liver cirrhosis and hepatocellular carcinoma 80001388 ]
[1.115 ] Specificities of the fecal microbiota in inflammatory bowel disease 80000283 ]
[1.116 ] Alterations of microbiota in urine from women with interstitial cystitis 80000409 ]
[1.117 ] Fecal microbiota in patients with irritable bowel syndrome compared with healthy controls using real-time polymerase chain reaction: an evidence of dysbiosis. 80000236 ]
[1.118 ] Higher Intakes of Potassium and Magnesium, but Not Lower Sodium, Reduce Cardiovascular Risk in the Framingham Offspring Study 80002345 ]
[1.119 ] Structural alterations of faecal and mucosa-associated bacterial communities in irritable bowel syndrome 80000629 ]
[1.120 ] Evidence for a distinct gut microbiome in kidney stone formers compared to non-stone formers 80000544 ]
[1.121 ] Specific gut microbiome signature predicts the early-stage lung cancer 80001413 ]
[1.122 ] Landscapes of bacterial and metabolic signatures and their interaction in major depressive disorders 80001465 ]
[1.123 ] 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 ]
[1.124 ] The severity of Nonalcoholic Fatty Liver Disease is associated with gut dysbiosis and shift in the metabolic function of the gut microbiota 80000625 ]
[1.125 ] Gut microbiota in early pediatric multiple sclerosis: a case-control study 80000269 ]
[1.126 ] Fecal and blood microbial 16S rRNA gene alteration in Chinese patients with multiple system atrophy and its subtypes 80001176 ]
[1.127 ] Fecal microbiota profile in a group of myasthenia gravis patients 80000824 ]
[1.128 ] Gut microbiome analysis in Neuromyelitis Optica reveals overabundance of Clostridium perfringens 80000694 ]
[1.129 ] Discrepant gut microbiota markers for the classification of obesity-related metabolic abnormalities 80001220 ]
[1.130 ] Gut microbiota composition and bone mineral loss-epidemiologic evidence from individuals in Wuhan, China 80001182 ]
[1.131 ] Identification and characterization of blood and neutrophil-associated microbiomes in patients with severe acute pancreatitis using next-generation sequencing 80000703 ]
[1.132 ] Colonic bacterial composition in Parkinson’s Disease 80000275 ]
[1.133 ] Compositional and functional features of the female premenopausal and postmenopausal gut microbiota 80001233 ]
[1.134 ] Breast tissue, oral and urinary microbiomes in breast cancer 80000875 ]
[1.135 ] Preterm infant meconium microbiota transplant induces growth failure, inflammatory activation, and metabolic disturbances in germ-free mice 80002178 ]
[1.136 ] The cutaneous microbiome in hospitalized patients with pressure ulcers 80001347 ]
[1.137 ] Consistent alterations in faecal microbiomes of patients with primary sclerosing cholangitis independent of associated colitis 80001214 ]
[1.138 ] The Akkermansia muciniphila is a gut microbiota signature in psoriasis 80000744 ]
[1.139 ] Tissue-Associated Bacterial Alterations in Rectal Carcinoma Patients Revealed by 16S rRNA Community Profiling 80000432 ]
[1.140 ] Association between the oral microbiome and brain resting state connectivity in smokers 80001075 ]
[1.141 ] Gut microbiota dysbiosis in male patients with chronic traumatic complete spinal cord injury 80000938 ]
[1.142 ] Comparison of the ocular microbiome between chronic Stevens-Johnson syndrome patients and healthy subjects 80001339 ]
[1.143 ] Characteristics of fecal and mucosa-associated microbiota in Chinese patients with inflammatory bowel disease 80000665 ]
[1.144 ] 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 ]
[1.145 ] The microbiome in urogenital schistosomiasis and induced bladder pathologies 80001012 ]
[1.146 ] Association study of gut flora in Wilson’s disease through high-throughput sequencing 80000863 ]
[1.147 ] Subgingival dysbiosis in smoker and non-smoker patients with chronic periodontitis 80000444 ]
[1.148 ] Temporal and long-term gut microbiota variation in allergic disease: a prospective study from infancy to school age 80001034 ]
[1.149 ] Mild cognitive impairment has similar alterations as Alzheimer’s disease in gut microbiota 80001081 ]
[1.150 ] Intestinal microbiota composition in patients with amyotrophic lateral sclerosis: establishment of bacterial and archaeal communities analyses 80001111 ]
[1.151 ] Sex-specific associations of infants’ gut microbiome with arsenic exposure in a US population 80000820 ]
[1.152 ] The gut microbiome in atherosclerotic cardiovascular disease 80000614 ]
[1.153 ] Associations between infant fungal and bacterial dysbiosis and childhood atopic wheeze in a nonindustrialized setting 80000733 ]
[1.154 ] Oral microbiota in autoimmune polyendocrine syndrome type 1 80000749 ]
[1.155 ] Gut microbial profile in biliary atresia: a case-control study 80001225 ]
[1.156 ] Profiling the urinary microbiota in male patients with bladder cancer in China_DUBLICATE 80001128 ]
[1.157 ] The fecal, oral, and skin microbiota of children with Chagas disease treated with benznidazole 80001023 ]
[1.158 ] Alterations of gut microbiota in cholestatic infants and their correlation with hepatic function 80000981 ]
[1.159 ] Characterization of intestinal microbiota in alcoholic patients with and without alcoholic hepatitis or chronic alcoholic pancreatitis 80000689 ]
[1.160 ] Dysbiosis of the gut microbiome is associated with CKD5 and correlated with clinical indices of the disease: a case-controlled study 80001101 ]
[1.161 ] Impact of cigarette smoking on the middle meatus microbiome in health and chronic rhinosinusitis 80000887 ]
[1.162 ] Gut microbiome and serum metabolome analyses identify unsaturated fatty acids and butanoate metabolism induced by gut microbiota in patients with chronic spontaneous urticaria 80001363 ]
[1.163 ] Intestinal lesions are associated with altered intestinal microbiome and are more frequent in children and young adults with cystic fibrosis and cirrhosis 80000573 ]
[1.164 ] Altered gut microbiota composition in subjects infected with Clonorchis sinensis 80000846 ]
[1.165 ] Gut microbiota composition and Clostridium difficile infection in hospitalized elderly individuals: a metagenomic study 80001033 ]
[1.166 ] Molecular characterization of mucosal adherent bacteria and associations with colorectal adenomas 80000590 ]
[1.167 ] The human gut microbiome as a screening tool for colorectal cancer 80000706 ]
[1.168 ] Gut mucosal microbiome across stages of colorectal carcinogenesis 80000724 ]
[1.169 ] 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 ]
[1.170 ] Mucosa-attached bacterial community in Crohn’s Disease coheres with the Clinical Disease Activity Index 80000447 ]
[1.171 ] Reduced abundance of butyrate-producing bacteria species in the fecal microbial community in Crohn’s Disease. 80000250 ]
[1.172 ] Fungal dysbiosis in mucosa-associated microbiota of Crohn’s disease patients 80000760 ]
[1.173 ] Molecular-phylogenetic characterization of the microbiota in ulcerated and non-ulcerated regions in the patients with Crohn’s Disease 80000576 ]
[1.174 ] Altered stool microbiota of infants with cystic fibrosis shows a reduction in genera associated with immune programming from birth 80001174 ]
[1.175 ] Gut microbiome and serum metabolome analyses identify molecular biomarkers and altered glutamate metabolism in fibromyalgia 80001184 ]
[1.176 ] Gallstone Disease and Bacterial Metabolic Performance of Gut Microbiota in Middle-Aged and Older Patients 80002433 ]
[1.177 ] Gut microbiota shifts in patients with gastric cancer in perioperative period 80001110 ]
[1.178 ] Reduced anti-inflammatory gut microbiota are associated with depression and anhedonia 80001308 ]
[1.179 ] Alterations of the gut microbiota in Hashimoto’s Thyroiditis patients 80000751 ]
[1.180 ] Gut microbial dysbiosis is associated with altered hepatic functions and serum metabolites in chronic hepatitis B patients 80000704 ]
[1.181 ] Effects of HIV viremia on the gastrointestinal microbiome of young MSM 80000959 ]
[1.182 ] A compositional look at the human gastrointestinal microbiome and immune activation parameters in HIV infected subjects. 80000332 ]
[1.183 ] An altered intestinal mucosal microbiome in HIV-1 infection is associated with mucosal and systemic immune activation and endotoxemia. 80000343 ]
[1.184 ] Evidence of dysbiosis in the intestinal microbial ecosystem of children and adolescents with primary hyperlipidemia and the potential role of regular hazelnut intake 80000699 ]
[1.185 ] The gut microbiome in epilepsy 80001252 ]
[1.186 ] Altered fecal bacterial composition correlates with disease activity in inflammatory bowel disease and the extent of IL8 induction 80001085 ]
[1.187 ] An irritable bowel syndrome subtype defined by species-specific alterations in faecal microbiota 80000591 ]
[1.188 ] Mucosal microbiome profiles polygenic irritable bowel syndrome in Mestizo individuals 80001366 ]
[1.189 ] Altered fecal microbiota composition in patients with major depressive disorder. 80000265 ]
[1.190 ] Alterations of the gut microbiota in borderline personality disorder 80002445 ]
[1.191 ] Nonalcoholic fatty liver disease is associated with dysbiosis independent of body mass index and insulin resistance 80000685 ]
[1.192 ] Conjuctival dysbiosis in mucosa-associated lyphoid tissue lymphoma 80001109 ]
[1.193 ] Differential adaptation of human gut microbiota to bariatric surgery-induced weight loss 80001231 ]
[1.194 ] Dysbiosis of saliva microbiome in patients with oral lichen planus 80001332 ]
[1.195 ] Dysbiosis of gut microbiota associated with clinical parameters in polycistic ovary syndrome 80000443 ]
[1.196 ] Distinct microbiome in pouchitis compared to healthy pouches in ulcerative colitis and familial adenomatous polyposis. 80000242 ]
[1.197 ] Intestinal microbiota is different in women with preterm birth: results from terminal restriction fragment length polymorphism analysis. 80000402 ]
[1.198 ] Comprehensive analysis of serum and fecal bile acid profiles and interaction with gut microbiota in primary biliary cholangitis 80000962 ]
[1.199 ] A pilot study of fecal bile acid and microbiota profiles in inflammatory bowel disease and primary sclerosing cholangitis 80000964 ]
[1.200 ] Gut microbial composition in patients with psoriasis 80000690 ]
[1.201 ] Gut microbial dysbiosis is associated with development and progression of radiation enteritis during pelvic radiotherapy 80001170 ]
[1.202 ] Altered gut microbiota in Rett syndrome 80000534 ]
[1.203 ] Variations in oral microbiome profiles in rheumatoid arthritis and osteoarthritis with potential biomarkers for arthritis screening 80000809 ]
[1.204 ] Malassezia and Staphylococcus dominate scalp microbiome for seborrheic dermatitis 80001287 ]
[1.205 ] Fecal microbiota signatures of adult patients with different types of short bowel syndrome 80000662 ]
[1.206 ] Alterations in the gut microbiota of patients with silica-induced pulmonary fibrosis 80000939 ]
[1.207 ] Altered mucosal microbiome diversity and disease severity in Sjögren Syndrome 80000347 ]
[1.208 ] Dysbiosis of gut microbiota and short-chain fatty acids in acute ischemic stroke and the subsequent risk for poor functional outcomes 80001423 ]
[1.209 ] Alterations in the gut microbiota and metabolite profiles of thyroid carcinoma patients 80000975 ]
[1.210 ] Dysbiosis of gut microbiota with reduced tremethylamine-N-oxide level in patients with large-artery atherosclerotic stroke or transient ischemic attack._DUBLICATE 80000456 ]
[1.211 ] Terminal Restriction Fragment length Polymorphism Analysis of the Gut Microbiota Profiles of Pediatric Patients with Inflammatory Bowel Disease 80000619 ]
[1.212 ] Dysbiosis in the gut bacterial microbiome of patients with Uveitis, an inflammatory disease of the eye 80000796 ]
[1.213 ] Faecal microbial dysbiosis in children with Wiskott-Aldrich syndrome 80001296 ]
[1.214 ] 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 ]
[1.215 ] Gut microbiota associations with diet in irritable bowel syndrome and the effect of low FODMAP diet and probiotics 80001454 ]
[1.216 ] Maternal exposures and the infant gut microbiome: a systematic review with meta-analysis 80001848 ]
[1.217 ] An open label, non-randomized study assessing a prebiotic fiber intervention in a small cohort of Parkinson’s disease participants 80002769 ]
[1.218 ] Pharmacomicrobiomics: exploiting the drug-microbiota interactions in anticancer therapies 80000217 ]
[1.219 ] How Discrimination Gets Under the Skin: Biological Determinants of Discrimination Associated with Dysregulation of the Brain-Gut Microbiome System and Psychological Symptoms 80002702 ]
[1.220 ] Effects of Heat Stress on Gut Microbiome in Rats 80002087 ]
[1.221 ] Drinking Water Source and Intake Are Associated with Distinct Gut Microbiota Signatures in US and UK Populations 80002257 ]
[1.222 ] A complete guide to human microbiomes: Body niches, transmission, development, dysbiosis, and restoration 80002487 ]
[1.223 ] 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 ]
[1.224 ] Family SES Is Associated with the Gut Microbiome in Infants and Children 80002079 ]
[1.225 ] [2022] [Study] [80002279 ]
[1.226 ] Gut Microbiota-Derived Tryptophan Metabolites Maintain Gut and Systemic Homeostasis 80002575 ]
