Disease
Microbiota ☳
Metabolome
Factor
Prevotellaceae ⇒ Prevotella {10000253}
Record Keys
Parent:
Definition: Prevotella
Details
Initialisation date: 2020-09-29
Meta Information
Rank:
Domain:
Zone: [ ]
Enzyme: [ ]
Function: Mucin-degrading
Notes: - Prevotella contains enzymes that are important in mucin degradation, which may disrupt the colonic mucus barrier and increase intestinal permeability
Shared Reference Notes
[1.1 ] Prevotella in their gut microbiota
[1.2 ] [#Sjögren syndrome ] Prevotella , Clostridium, Enterobacter, Escherichia, and Streptococcus and a depletion in the relative abundance of Bacteroides, Parabacteroides, Faecalibacterium, Roseburia, Ruminococcus, Dorea, Alistipes, Blautia and Bifidobacterium.
- Prevotella contains enzymes that are important in mucin degradation, which may disrupt the colonic mucus barrier and increase intestinal permeability allowing the diffusion of pathogens, toxins, and antigens from the luminal environment into the mucosal tissues and circulatory system, resulting in the immune activation and tissue inflammation important in the onset or progression of several intestinal and chronic autoimmune diseases.
[1.3 ] [#Antibiotic Therapy ] Prevotella .
[#Infants ] - There is a clear association between decreased normalised abundance of Prevotella in faecal samples collected at 12 months of age and increased behavioural problems at 2 years.
[1.4 ] [#Polycystic ovary syndrome ] #Lactobacillus given to letrozole-treated (induces PCOS) rats reduced androgen levels, improved estrous cyclicity, normalized ovarian morphology, as well as increased #Lactobacillus and #Clostridium species and decreased Prevotella .
[1.5 ] [#High-fiber diet ] Prevotella
[#Mediterranean diet ] - Prevotella are more common in non-Westernized populations consuming a plant-rich diet or in Western populations with high adherence to a Mediterranean or vegetarian diet
[1.6 ] [#Carbohydrate diet ] Prevotella grows best on carbohydrates.
[1.7 ] [#Rheumatoid Arthritis ] Prevotella in saliva is at higher relative abundance compared to healthy controls.
[1.8 ] [#Parkinson’s Disease ] Prevotella > faster PD progression
[1.9 ] [#Hypertension ] Prevotella , and Enterbacter > all overrepresented in HTN.
- In HTN > microbial richness and diversity > decreased with Prevotella -dominated gut enterotype.
- Faecalibacterium, Oscillibacter, Roseburia, Bifidobacterium, Coprococcus, and Butyrivibrio > declined in pHTN and HTN patients.
- The enterotype dominated by Prevotella > increased in pHTN and HTN populations.
- Stearic acid, an important metabolite in HTN, is positively linked to Prevotella .
- Prevotella > triggering the inflammatory response > HTN.
[#Parkinson’s Disease ] [#Bifidobacterium adolescentis ] - PD patients, showing an increase in #Akkermansia , Bifidobacterium, and #Lactobacillus and a decrease in Prevotella
[1.11 ] [#Psychogenic erectile dysfunction ] #Alloprevotella .
- Erectile dysfunction > increased #Streptococci and #Subdoligranulum
- Erectile dysfunction > decreased Prevotella sp.9, #Blautia , #Lachnospiraceae NK4A136 groups and #Roseburia .
[1.12 ] [#Carbohydrate diet , #High protein / animal fat diets ] #Bacteroides , whereas diets high in carbohydrates are associated with a high prevalence of Prevotella
[1.13 ] [#Multidrug-Resistant Organism ] Prevotella families were associated with lower risk of colonization by MDRO, infection and death
[1.14 ] [#Infectious diarrhea ] #Blautia , Prevotella , #Faecalibacterium , #Lachnospiraceae , #Ruminococcaceae , etc.), leading to a depletion of associated metabolites such as #Short Chain Fatty Acid (SCFAs)
[1.15 ] [#Resistant starch ] #Bacteroides or Prevotella transcripts.
[1.16 ] [#Amyotrophic lateral sclerosis ] Prevotella spp. compared with those of their spouses.
- Predictive analysis of microbial enzymes revealed that ALS patients had decreased activity in several metabolic pathways, including carbon metabolism, #Butyrate metabolism, and systems involving histidine kinase and response regulators.
[1.17 ] [#Parkinson’s Disease ] #Corynebacterium , #Porphyromonas , and Prevotella have been noted to be significantly abundant in PD and associated with #SCNA genes .
- An overabundance of the unusually low #Corynebacterium and endotoxins of the #Porphyromonas and Prevotella can trigger the PD pathology in the gut.
[1.18 ] [#Gallstone Disease ] Prevotella spp. may play a protective role against gallstones formation by regulation of the BAs composition, reducing metabolic endotoxaemia and protection of the mucosal gut barrier.
- Mucosal inflammation mediated by Prevotella spp. could promote systemic dissemination of various pro-inflammatory mediators, as well as bacteria and bacterial products, which in turn may trigger systemic diseases.
[1.19 ] [#Obesity ] [#Whole grains ] Prevotella at baseline resulted in increased weight loss in individuals with excess body weight who consumed whole grain-rich diets
[#Parkinson’s Disease ] - lower fecal #Butyrate and reduced counts of genera #Roseburia , #Romboutsia , and Prevotella are related to depressive symptoms in PD patients.
- Decreased levels of bacterially produced #Butyrate are related to epigenetic changes in leucocytes and neurons from PD patients and to the severity of their depressive symptoms.
[1.21 ] [#Covid-19 ] #Bifidobacteria species and #Eubacterium rectale , with lower severity, and pro-inflammatory bacteria such as Prevotella copri with higher severity.
[1.22 ] [#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.
[1.23 ] [#Carbohydrate diet ] Prevotella -dominated enterotype
[1.24 ] [#Autism ] Prevotella and #Bifidobacterium may lead to reduced levels of #Folate production due to diminished #Folate -dependent remethylation in ASD
[#Autism ] - lower or depleted levels of Prevotella in ASD compared to TD in fecal and oral microbiota.
- Many gut Prevotella species are fiber-consuming bacteria.
[1.25 ] [#Parkinson’s Disease ] #Firmicutes enrichment as the primary driving force, and depletion of Prevotella as secondary as it remained significant after removing #Firmicutes .
[#Parkinson’s Disease ] [#Prevotella copri ] - Prevotella has been reported as decreased in PD by some and increased by others.
- Prevotella copri was decreased, and the pathogenic species of Prevotella were increased as a group, confirming, and resolving the seemingly contradictory reports on Prevotella .
[1.26 ] 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.
[1.27 ] [#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
[1.28 ] [#Alzheimer’s disease ] #Odoribacter and #Helicobacter genera and decreases in Prevotella species.
[1.29 ] [#Oleic acid , #Stearic acid ] #Psoriasis -like skin phenotype exacerbated psoriasiform skin inflammation in mice with mild symptoms > increased the abundance of Prevotella , while decreasing that of #Parabacteroides distasonis , in the colon > increasing the abundance of oleic and stearic acids.
- #Gentamicin treatment significantly reduced the abundance of Prevotella and alleviated the #Psoriasis -like symptoms in both K14-VEGF mice and imiquimod (IMQ)-induced #Psoriasis -like mice.
[#Diabetes Type 2 ] - The genus #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.
Intervention in Disease
Author: MetaBiomIdentifier: 10000253URL: https://www.metabiom.org/microbiota/148/prevotellaKeywords: Microbiome, Dysbiosis, Microbiota, Organism, Bacteria
Common References
[1.1 ] Health and disease markers correlate with gut microbiome composition across thousands of people 80001461 ]
[1.2 ] Connection between the Gut Microbiome, Systemic Inflammation, Gut Permeability and FOXP3 Expression in Patients with Primary Sjögren’s Syndrome 80001479 ]
[1.3 ] Gut microbiota composition during infancy and subsequent behavioural outcomes 80001731 ]
[1.4 ] Polycystic Ovary Syndrome and the Gut Microbiome 80001774 ]
[1.5 ] Diet, obesity, and the gut microbiome as determinants modulating metabolic outcomes in a non-human primate model 80001840 ]
[1.6 ] Is eating behavior manipulated by the gastrointestinal microbiota? Evolutionary pressures and potential mechanisms 80001843 ]
[1.7 ] The oral microbiome in early rheumatoid arthritis patients and individuals at risk differs from healthy controls 80001874 ]
[1.8 ] Nuclear and Mitochondrial Genome, Epigenome and Gut Microbiome: Emerging Molecular Biomarkers for Parkinson’s Disease 80002071 ]
[1.9 ] Gut microbiota dysbiosis contributes to the development of hypertension 80000033 ]
[1.10 ] Composition of intestinal flora affects the risk relationship between Alzheimer’s disease/Parkinson’s disease and cancer 80002199 ]
[1.11 ] Correlation between gut microbiota diversity and psychogenic erectile dysfunction 80002269 ]
[1.12 ] The Gut Microbiome in Myalgic Encephalomyelitis (ME)/Chronic Fatigue Syndrome (CFS) 80002273 ]
[1.13 ] Changes in the gut microbiota and risk of colonization by multidrug-resistant bacteria, infection and death in critical care patients 80002280 ]
[1.14 ] Dynamic of the human gut microbiome under infectious diarrhea 80002290 ]
[1.15 ] Resistant starch type 2 and whole grain maize flours enrich different intestinal bacteria and metatranscriptomes 80002313 ]
[1.16 ] Gut microbiome differences between amyotrophic lateral sclerosis patients and spouse controls 80002385 ]
[1.17 ] Exploring the multifactorial aspects of Gut Microbiome in Parkinson’s Disease 80002403 ]
[1.18 ] Gallstone Disease and Bacterial Metabolic Performance of Gut Microbiota in Middle-Aged and Older Patients 80002433 ]
[1.19 ] Rethinking healthy eating in light of the gut microbiome 80002441 ]
[1.20 ] Bacterial Butyrate in Parkinson’s Disease Is Linked to Epigenetic Changes and Depressive Symptoms 80002465 ]
[1.21 ] COVID-19 severity is associated with population-level gut microbiome variations 80002553 ]
[1.22 ] Gut microbiota signatures and modulation in irritable bowel syndrome 80002578 ]
[1.23 ] Correlation between human gut microbiome and diseases 80002594 ]
[1.24 ] Shotgun Metagenomics Study Suggests Alteration in Sulfur Metabolism and Oxidative Stress in Children with Autism and Improvement after Microbiota Transfer Therapy 80002687 ]
[1.25 ] Metagenomics of Parkinson’s disease implicates the gut microbiome in multiple disease mechanisms 80002696 ]
[1.26 ] Alteration of faecal microbiota balance related to long-term deep meditation 80002709 ]
[1.27 ] Microbiota–gut–brain axis mechanisms in the complex network of bipolar disorders: potential clinical implications and translational opportunities 80002728 ]
[1.28 ] The gut microbiome in Alzheimer’s disease: what we know and what remains to be explored 80002733 ]
[1.29 ] Intestinal dysbiosis exacerbates the pathogenesis of psoriasis-like phenotype through changes in fatty acid metabolism 80002758 ]
[1.30 ] Variation of butyrate production in the gut microbiome in type 2 diabetes patients 80002763 ]
[1.31 ] Metagenomic sequencing reveals microbiota and its functional potential associated with periodontal disease 80000359 ]
[1.32 ] Drinking alcohol is associated with variation in the human oral microbiome in a large study of american adults 80000944 ]
[1.33 ] Gut microbiota compositional and functional fingerprint in patients with alcohol use disorder and alcohol-associated liver disease 80001386 ]
[1.34 ] Stratification of the Gut Microbiota Composition Landscape across the Alzheimer’s Disease Continuum in a Turkish Cohort 80002303 ]
[1.35 ] Quantitative metagenomics reveals unique gut microbiome biomarkers in ankylosing spondylitis. 80000612 ]
[1.36 ] Dysbiosis and zonulin upregulation alter gut epithelial and vascular barriers in patients with ankylosing spondylitis 80000775 ]
[1.37 ] Distinctive subpopulations of the intestinal microbiota are present in women with unexplained chronic anovulation 80000927 ]
[1.38 ] Profiling the salivary microbiome of the Qatari population 80001335 ]
[1.39 ] Comparison of the diversity of the vaginal microbiota in HIV-infected and uninfected women with and without bacterial vaginosis. 80000370 ]
[1.40 ] Comparative meta-RNA-seq of the vaginal microbiota and differential expression by Lactobacillus iners in health and dysbiosis 80000368 ]
[1.41 ] Oral microbiome signatures in diabetes mellitus and periodontal disease 80001350 ]
[1.42 ] The microbiome in populations with a low and high prevalence of caries 80000355 ]
[1.43 ] Relationship of children’s salivary microbiota with their caries status: a pyrosequencing study. 80000348 ]
[1.44 ] Oral microbiome shifts from caries-free to caries-affected status in 3-year-old Chinese children: a longitudinal study 80000847 ]
[1.45 ] Imbalance in the composition of the duodenal microbiota in children with coeliac disease 80000827 ]
[1.46 ] Diversity of cervicovaginal microbiota associated with female lower genital tract infections 80000636 ]
[1.47 ] The lung microbiome in moderate and severe chronic obstructive pulmonary disease. 80000385 ]
[1.48 ] Metagenome and metatranscriptome profiling of moderate and severe COPD sputum in Taiwanese Han Males 80000876 ]
[1.49 ] Gut Microbiome Signatures in the Progression of Hepatitis B Virus-Induced Liver Disease 80002427 ]
[1.50 ] Hepatocellular carcinoma is associated with gut microbiota profile and inflammation in nonalcoholic fatty liver disease 80000791 ]
[1.51 ] Dysbiosis of small intestinal microbiota in liver cirrhosis and its association with etiology 80000568 ]
[1.52 ] The oral microbiota in colorectal cancer is distinctive and predictive 80000657 ]
[1.53 ] Microbial dysbiosis in colorectal cancer (CRC) patients 80000252 ]
[1.54 ] Microbiota disbiosis is associated with colorectal cancer. 80000302 ]
[1.55 ] Coronary artery disease is associated with an altered gut microbiome composition 80001293 ]
[1.56 ] Severe COVID-19 Is Associated With an Altered Upper Respiratory Tract Microbiome 80002311 ]
[1.57 ] Dysbiosis of salivary microbiota in inflammatory bowel disease and its association with oral immunological biomarkers 80000489 ]
[1.58 ] Altered gut microbiota is present in newly diagnosed pediatric patients with inflammatory bowel disease 80001299 ]
[1.59 ] Spatial organization and composition of the mucosal flora in patients with inflammatory bowel disease 80000610 ]
[1.60 ] Gut microbiota differs in composition and functionality between children with type 1 diabetes and MODY2 and healthy control subjects: a case-control study 80000812 ]
[1.61 ] How ocular surface microbiota debuts in type 2 diabetes mellitus 80001133 ]
[1.62 ] Gut microbiota in human adults with type 2 diabetes differs from non-diabetic adults. 80000239 ]
[1.63 ] Dysbiosis of urinary microbiota is positively correlated with type 2 diabetes mellitus 80000429 ]
[1.64 ] Gut microbial dysbiosis in individuals with Sjögren’s syndrome 80001407 ]
[1.65 ] Microbiota composition and distribution along the female reproductive tract of women with endometriosis 80001405 ]
[1.66 ] An international report on bacterial communities in esophageal squamous cell carcinoma 80002495 ]
[1.67 ] Intestinal microbiota is altered in patients with gastric cancer from Shanxi Province, China 80001028 ]
[1.68 ] Alterations of gut microbiota and blood lipidome in gestational diabetes mellitus with hyperlipidemia 80001152 ]
[1.69 ] Gut Microbiota and Gestational Diabetes Mellitus: A Review of Host-Gut Microbiota Interactions and Their Therapeutic Potential 80001882 ]
[1.70 ] Intestinal parasitic infection alters bacterial gut microbiota in children 80001014 ]
[1.71 ] Molecular alteration analysis of human gut microbial composition in Graves’ disease patients 80000858 ]
[1.72 ] The double-edged sword of probiotic supplementation on gut microbiota structure in <i>Helicobacter pylori</i> management 80002569 ]
[1.73 ] The tongue microbiome in healthy subjects and patients with intra-oral halitosis 80001030 ]
[1.74 ] Modulation of bile acid profile by gut microbiota in chronic hepatitis B 80001384 ]
[1.75 ] Gut microbiome alterations in patients with stage 4 hepatitis C 80000613 ]
[1.76 ] Alteration in gut microbiota associated with hepatitis B and non-hepatitis virus related hepatocellular carcinoma 80000945 ]
[1.77 ] Intestinal microbiota in Hirschsprung Disease 80000783 ]
[1.78 ] Effects of HIV viremia on the gastrointestinal microbiome of young MSM 80000959 ]
[1.79 ] A compositional look at the human gastrointestinal microbiome and immune activation parameters in HIV infected subjects. 80000332 ]
[1.80 ] An altered intestinal mucosal microbiome in HIV-1 infection is associated with mucosal and systemic immune activation and endotoxemia. 80000343 ]
[1.81 ] The lower airways microbiome and antimicrobial peptides in idiopathic pulmonary fibrosis differ from chronic obstructive pulmonary disease 80002207 ]
[1.82 ] Fecal microbiota profiles in treatment-naïve pediatric inflammatory bowel disease - associations with disease phenotype, treatment, and outcome 80000963 ]
[1.83 ] Nasopharyngeal microbiota in children with invasive pneumococcal disease: identification of bacteria with potential disease-promoting and protective effects 80000985 ]
[1.84 ] Characteristic dysbiosis of gut microbiota of Chinese patients with diarrhea-predominant irritable bowel syndrome by an insight into the pan-microbiome 80001123 ]
[1.85 ] Microbiota in the Throat and Risk Factors for Laryngeal Carcinoma 80000553 ]
[1.86 ] The composition of microbiome in larynx and the throat biodiversity between laryngeal squamous cell carcinoma patients and control population. 80000246 ]
[1.87 ] A microbial signature identifies advanced fibrosis in patients with chronic liver disease mainly due to NAFLD 80001341 ]
[1.88 ] Lung tissue microbial profile in lung cancer is distinct from emphysema 80000832 ]
[1.89 ] Local oral and nasal microbiome diversity in age-related macular degeneration 80001340 ]
[1.90 ] Characterization of gut microbiomes in nonalcoholic steatohepatitis (NASH) patients: a connection between endogenous alcohol and NASH 80000566 ]
[1.91 ] Severe obstructive sleep apnea is associated with alterations in the nasal microbiome and an increase in inflammation 80001035 ]
[1.92 ] The microflora associated with human oral carcinomas 80000771 ]
[1.93 ] Microbial diversity in saliva of oral squamous cell carcinoma 80000786 ]
[1.94 ] Preliminary analysis of salivary microbiome and their potential roles in oral lichen planus 80000397 ]
[1.95 ] A microbiome case-control study of recurrent acute otitis media identified potentially protective bacterial genera 80000688 ]
[1.96 ] Gut microbial profile analysis by MiSeq sequencing of pancreatic carcinoma patients in China 80000728 ]
[1.97 ] Identification and characterization of blood and neutrophil-associated microbiomes in patients with severe acute pancreatitis using next-generation sequencing 80000703 ]
[1.98 ] Oral and nasal microbiota in Parkinson’s disease 80000279 ]
[1.99 ] Periodontal disease and the oral microbiota in new-onset rheumatoid arthritis 80000389 ]
[1.100 ] Deep sequencing of the oral microbiome reveals signatures of periodontal disease 80001205 ]
[1.101 ] Alveolar microbiota profile in patients with human pulmonary tuberculosis and interstitial pneumonia 80001312 ]
[1.102 ] Obese adolescents with PCOS have altered biodiversity and relative abundance in Gastrointestinal microbiota 80001360 ]
[1.103 ] Impact of Visceral Obesity on Structural and Functional Alterations of Gut Microbiota in Polycystic Ovary Syndrome (PCOS): A Pilot Study Using Metagenomic Analysis 80002698 ]
[1.104 ] Breast tissue, oral and urinary microbiomes in breast cancer 80000875 ]
[1.105 ] Distinct microbiome in pouchitis compared to healthy pouches in ulcerative colitis and familial adenomatous polyposis. 80000242 ]
[1.106 ] Microbiome of the placenta in pre-eclampsia supports the role of bacteria in the multifactorial cause of pre-eclampsia 80000362 ]
[1.107 ] Defining microbial biomarkers for risk of preterm labor 80001349 ]
[1.108 ] Comprehensive analysis of serum and fecal bile acid profiles and interaction with gut microbiota in primary biliary cholangitis 80000962 ]
[1.109 ] Aerodigestive dysbiosis in children with chronic cough 80000729 ]
[1.110 ] Combined culture and metagenomic analyses reveal significant shifts in the composition of the cutaneous microbiome in psoriasis 80001047 ]
[1.111 ] Gut microbial dysbiosis is associated with development and progression of radiation enteritis during pelvic radiotherapy 80001170 ]
[1.112 ] Alteration of vaginal microbiota in patients with unexplained recurrent miscarriage 80000972 ]
[1.113 ] Oral microbiota perturbations are linked to high risk for rheumatoid arthritis 80001276 ]
[1.114 ] Fecal microbiota signatures of adult patients with different types of short bowel syndrome 80000662 ]
[1.115 ] Oral microbial flora of patients with Sicca syndrome 80001007 ]
[1.116 ] Salivary microbiome and cigarette smoking: a first of its kind investigation in Jordan 80001280 ]
[1.117 ] Subgingival microbiome in smokers and non-smokers in periodontitis: an exploratory study using traditional targeted techniques and a next-generation sequencing 80000833 ]
[1.118 ] Comparison of the ocular microbiome between chronic Stevens-Johnson syndrome patients and healthy subjects 80001339 ]
[1.119 ] Alterations of the gut microbiome in Chinese patients with systemic lupus erythematosus 80000460 ]
[1.120 ] Association of systemic sclerosis with a unique colonic microbial consortium 80000333 ]
[1.121 ] Alterations of urinary microbiota in type 2 Diabetes Mellitus with hypertension and/or hyperlipidemia 80000661 ]
[1.122 ] Dysbiosis of the gut microbiome is associated with thyroid cancer and thyroid nodules and correlated with clinical index of thyroid function 80001043 ]
[1.123 ] Unique vaginal microbiota that includes an unknown Mycoplasma-like organism is associated with Trichomonas vaginalis infection 80000643 ]
[1.124 ] Urogenital schistosomiasis is associated with signatures of microbiome dysbiosis in Nigerian adolescents 80000952 ]
[1.125 ] Dysbiosis in the gut bacterial microbiome of patients with Uveitis, an inflammatory disease of the eye 80000796 ]
[1.126 ] Diversity of endocervical microbiota associated with genital Chlamydia trachomatis infection and infertility among women visiting obstetrics and gynecology clinics in Malaysia 80001294 ]
[1.127 ] Alterations in the gut microbiota of patients with acquired immune deficiency syndrome 80000714 ]
[1.128 ] Temporal changes in gut microbiota profile in children with acute lymphoblastic leukemia prior to commencement-, during-, and post-cessation of chemotherapy 80001331 ]
[1.129 ] Subgingival dysbiosis in smoker and non-smoker patients with chronic periodontitis 80000444 ]
[1.130 ] Microbiome and bile acid profiles in duodenal aspirates from patients with liver cirrhosis: the microbiome, microbial markers and liver disease study_DUBLICATE 80000993 ]
[1.131 ] Links of gut microbiota composition with alcohol dependence syndrome and alcoholic liver disease 80001336 ]
[1.132 ] The circulating microbiome signature and inferred functional metagenomics in alcoholic hepatitis 80000726 ]
[1.133 ] Characterization of gut microbiota composition and functions in patients with chronic alcohol overconsumption 80001029 ]
[1.134 ] Temporal and long-term gut microbiota variation in allergic disease: a prospective study from infancy to school age 80001034 ]
[1.135 ] Microbial communities in the upper respiratory tract of patients with asthma and chronic obstructive pulmonary disease. 80000380 ]
[1.136 ] Airway microbiome in different inflammatory phenotypes of asthma: a cross-sectional study in northeast China 80000997 ]
[1.137 ] Comparison of oropharyngeal microbiota from children with asthma and cystic fibrosis 80000734 ]
[1.138 ] Reduced incidence of Prevotella and other fermenters in intestinal microflora of autistic children 80000258 ]
[1.139 ] Alterations of oral microbiota distinguish children with autism spectrum disorders from healthy controls 80000691 ]
[1.140 ] Bifidobacteria abundance-featured gut microbiota compositional change in patients with Behcet’s Disease 80000346 ]
[1.141 ] Dysbiosis signatures of the microbial profile in tissue from bladder cancer 80001272 ]
[1.142 ] Study of microbiomes in aseptically collected samples of human breast tissue using needle biopsy and the potential role of in situ tissue microbiomes for promoting malignancy 80000852 ]
[1.143 ] Investigation of supragingival plaque microbiota in different caries status of Chinese preschool children by denaturing gradient gel electrophoresis 80000323 ]
[1.144 ] Bacterial biofilm composition in healthy subjects with and without caries experience 80001244 ]
[1.145 ] Oropharyngeal microbiome evaluation highlights Neisseria abundance in active celiac patients 80000821 ]
[1.146 ] Comparison of small gut and whole gut microbiota of first-degree relatives with adult celiac disease patients and controls 80000986 ]
[1.147 ] Duodenal mucosa of patients with type 1 diabetes shows distinctive inflammatory profile and microbiota 80000520 ]
[1.148 ] Characterization of intestinal microbiota in alcoholic patients with and without alcoholic hepatitis or chronic alcoholic pancreatitis 80000689 ]
[1.149 ] Alteration of the gut microbiota in Chinese population with chronic kidney disease 80000616 ]
[1.150 ] Microbiome in Chronic Kidney Disease (CKD): An Omics Perspective 80002388 ]
[1.151 ] The human laryngeal microbiome: effects of cigarette smoke and reflux 80000508 ]
[1.152 ] Skin microbiome imbalance in patients with STAT1/STAT3 defects impairs innate host defense responses 80001196 ]
[1.153 ] Community dynamics and the lower airway microbiota in stable chronic obstructive pulmonary disease, smokers and healthy non-smokers. 80000390 ]
[1.154 ] Analysis of gut microbiome reveals significant differences between men with chronic prostatitis/Chronic pelvic pain syndrome and controls 80000540 ]
[1.155 ] Decreased diversity of the oral microbiota of patients with hepatitis B virus-induced chronic liver disease: a pilot project 80000571 ]
[1.156 ] Composition of gut microbiota in patients with toxigenic Clostridioides (Clostridium) difficile: Comparison between subgroups according to clinical criteria and toxin gene load 80001022 ]
[1.157 ] Metabolomics and 16S rRNA sequencing of human colorectal cancers and adjacent mucosa 80001025 ]
[1.158 ] Structural changes in the gut microbiome of constipated patients 80000505 ]
[1.159 ] Chronic obstructive pulmonary disease upper airway microbiota alpha diversity is associated with exacerbation phenotype: a case-control observational study 80001100 ]
[1.160 ] Analysis of endoscopic brush samples identified mucosa-associated dysbiosis in inflammatory bowel disease 80000679 ]
[1.161 ] Reduced abundance of butyrate-producing bacteria species in the fecal microbial community in Crohn’s Disease. 80000250 ]
[1.162 ] Colinic mucosa-associated microbiota is influenced by an interaction of Crohn disease and FUT2 (Secretor) genotype 80001200 ]
[1.163 ] The altered gut microbiota in adults with cystic fibrosis 80000425 ]
[1.164 ] Gut microbiota in children with type 1 diabetes differs from that in healthy children: a case-control study 80000311 ]
[1.165 ] Gut dysbiosis and detection of "live gut bacteria" in blood of Japanese patients with type 2 diabetes 80000309 ]
[1.166 ] 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 ]
[1.167 ] The endobiota study: comparison of vaginal, cervical and gut microbiota between women with stage 3/4 endometriosis and healthy controls 80000951 ]
[1.168 ] Gastric microbial community profiling reveals a dysbiotic cancer-associated microbiota 80000711 ]
[1.169 ] Mucosal dysbiosis in patients with gastrointestinal follicular lymphoma 80001377 ]
[1.170 ] Association between fecal microbiota and generalized anxiety disorder: severity and early treatment response 80001071 ]
[1.171 ] Microbiome and its relation to gestational diabetes 80000966 ]
[1.172 ] Preliminary characterization of the oral microbiota of Chinese adults with and without gingivitis 80000536 ]
[1.173 ] Alterations of the gut microbiota in patients with COVID-19 or H1N1 Influenza 80001419 ]
[1.174 ] Alterations of the gut microbiota in Hashimoto’s Thyroiditis patients 80000751 ]
[1.175 ] Featured gut microbiomes associated with the progression of chronic hepatitis B disease 80001369 ]
[1.176 ] Decreased microbiome diversity in the HIV small airway epithelium 80000817 ]
[1.177 ] Alterations in the Fecal Microbiota of Patients with HIV-1 Infection: An Observational Study in A Chinese Population 80000387 ]
[1.178 ] The nasal and gut microbiome in Parkinson’s Disease and Idiopathic Rapid Eye Movement Sleep Behavior Disorder 80000656 ]
[1.179 ] Altered gut microbiota composition associated with eczema in infants 80000741 ]
[1.180 ] Altered fecal bacterial composition correlates with disease activity in inflammatory bowel disease and the extent of IL8 induction 80001085 ]
[1.181 ] Alterations of microbiota in urine from women with interstitial cystitis 80000409 ]
[1.182 ] Evidence for a distinct gut microbiome in kidney stone formers compared to non-stone formers 80000544 ]
[1.183 ] Laryngotracheal microbiota in adult laryngotracheal stenosis 80001191 ]
[1.184 ] Human pharyngeal microbiota in age-related macular degeneration 80000882 ]
[1.185 ] Altered fecal microbiota composition in patients with major depressive disorder. 80000265 ]
[1.186 ] Proinflammatory sulfur-reducing bacteria are more abundant in colonic biopsies of patients with microscopic colitis compared to healthy controls 80000870 ]
[1.187 ] Gut dysbiosis and lack of short chain fatty acids in a Chinese cohort of patients with multiple sclerosis 80001070 ]
[1.188 ] The severity of Nonalcoholic Fatty Liver Disease is associated with gut dysbiosis and shift in the metabolic function of the gut microbiota 80000625 ]
[1.189 ] Gender-specific associations between saliva microbiota and body size 80001144 ]
[1.190 ] Urinary microbiome and psychological factors in women with overactive bladder 80001129 ]
[1.191 ] Gut microbiota dysbiosis worsens the severity of acute pancreatitis in patients and mice. 80001237 ]
[1.192 ] Altered gut microbiota and inflammatory cytokine responses in patients with Parkinson’s disease 80001105 ]
[1.193 ] Inflammatory microbes and genes as potential biomarkers of Parkinson’s disease 80002678 ]
[1.194 ] Microbiota in human periodontal abscess revealed by 16S rDNA sequencing 80001149 ]
[1.195 ] Characteristic gut microbiota and predicted metabolic functions in women with PCOS 80001274 ]
[1.196 ] The composition and stability of the vaginal microbiota of normal pregnant women is different from that of non-pregnant women 80000640 ]
[1.197 ] The gut-adherent microbiota of PSC-IBD is distinct to that of IBD 80000518 ]
[1.198 ] Distinct lung microbial community states in patients with pulmonary tuberculosis 80001378 ]
[1.199 ] Alternation of gut microbiota in patients with pulmonary tuberculosis 80000851 ]
[1.200 ] Subgingival microbiome of rheumatoid arthritis patients in relation to their disease status and periodontal health 80000881 ]
[1.201 ] Alterations of gut microbiome in the patients with severe fever with thrombocytopenia syndrome 80000848 ]
[1.202 ] The bacterial communities of the small intestine and stool in children with short bowel syndrome 80001208 ]
[1.203 ] Intestinal microbiome analysis revealed dysbiosis in sickle cell disease 80000719 ]
[1.204 ] Altered mucosal microbiome diversity and disease severity in Sjögren Syndrome 80000347 ]
[1.205 ] Cigarette smoking and the oral microbiome in a large study of American adults 80000996 ]
[1.206 ] Influence of cigarette smoking on the human duodenual mucosa-associated microbiota 80000816 ]
[1.207 ] Gut microbiota dysbiosis in male patients with chronic traumatic complete spinal cord injury 80000938 ]
[1.208 ] Disordered cutaneous microbiota in systemic lupus erythematosus 80001253 ]
[1.209 ] Alterations in the gut microbiota and metabolite profiles of thyroid carcinoma patients 80000975 ]
[1.210 ] Bacteriome and mycobiome associations in oral tongue cancer 80001010 ]
[1.211 ] Dysbiosis of gut microbiota with reduced tremethylamine-N-oxide level in patients with large-artery atherosclerotic stroke or transient ischemic attack._DUBLICATE 80000456 ]
[1.212 ] A pyrosequencing study in twins shows that gastrointestinal microbial profiles vary with inflammatory bowel disease phenotypes 80000284 ]
[1.213 ] Comparison of the microbial community structure between inflamed and non-inflamed sites in patients with ulcerative colitis 80000716 ]
[1.214 ] The nasopharyngeal microbiota in patients with viral respiratory tract infections is enriched in bacterial pathogens 80000782 ]
[1.215 ] Association study of gut flora in Wilson’s disease through high-throughput sequencing 80000863 ]
[1.216 ] How Discrimination Gets Under the Skin: Biological Determinants of Discrimination Associated with Dysregulation of the Brain-Gut Microbiome System and Psychological Symptoms 80002702 ]
[1.217 ] Separating the Empirical Wheat From the Pseudoscientific Chaff: A Critical Review of the Literature Surrounding Glyphosate, Dysbiosis and Wheat-Sensitivity 80001476 ]
[1.218 ] Gut Microbiota and Short-Chain Fatty Acid Profile between Normal and Moderate Malnutrition Children in Yogyakarta, Indonesia 80001723 ]
[1.219 ] 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 ]
[1.220 ] An open label, non-randomized study assessing a prebiotic fiber intervention in a small cohort of Parkinson’s disease participants 80002769 ]
[1.221 ] Impact of sleep on the microbiome of oral biofilms 80002158 ]
