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