Disease
Microbiota ☳
Metabolome
Factor
Porphyromonadaceae ⇒ Parabacteroides {10000239}
Record Keys
Parent:
Definition: Parabacteroides
Details
Initialisation date: 2020-09-22
Meta Information
Rank:
Domain:
Zone: [ ]
Enzyme: [ ]
Function: Cholesterol-interacting
Notes: Shared Reference Notes
[1.1 ] [#Diabetes Type 2 ] Parabacteroides is positively associated with diabetes.
[1.2 ] [#Short Chain Fatty Acid ] Parabacteroides > SCFA-producing > richer in the cecum and colorectum > more SCFAs were produced.
[1.3 ] [#Hypertension ] [#Flavonoid ] [#Flavonoid-Rich Foods ]
[1.4 ] #Obesity > expansion of Escherichia shigella in obese patients compared to healthy controls.
- The family #Eubacterium coprostanoligenes and #Tannerellaceae , the genera #Eubacterium coprostanoligenes , #Lachnospiraceae NK4A136, Parabacteroides , and Akkermansia, and the species #Prevotella copri were microbial biomarkers of healthy people.
- #Gammaproteobacteria and #Enterobacterales were biomarkers of being “Overweight”.
[1.5 ] [#Crohn’s disease ] #Lachnospiraceae incertae sedis and Parabacteroides were enriched in the early CD patients.
[1.6 ] #Maltodextrin > increase genus Parabacteroides
[1.7 ] [#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
[1.8 ] #Bifidobacterium , #Escherichia spp., #Bacteroides , and Parabacteroides , produce #GABA , which is an inhibitory neurotransmitter
[1.9 ] [#Soybean ] #Faecalibacterium , #Bifidobacterium , and Parabacteroides .
- consumption of fermented soy milk was associated with increased abundance of #Bifidobacterium , bifidobacteria and/or Lactobacillus compared to unfermented soy milk.
Author: MetaBiomIdentifier: 10000239URL: https://www.metabiom.org/microbiota/134/parabacteroidesKeywords: Microbiome, Dysbiosis, Microbiota, Organism, Bacteria
Common References
[1.1 ] Gut microbiome profiles associated with steatosis severity in metabolic associated fatty liver disease 80001824 ]
[1.2 ] Maternal Vegetable and Fruit Consumption during Pregnancy and Its Effects on Infant Gut Microbiome 80001899 ]
[1.3 ] Microbial Diversity and Abundance of Parabacteroides mediate the Associations Between Higher Intake of Flavonoid-Rich Foods and Lower Blood Pressure
_ REPEATED 2093 80002027 ]
[1.4 ] Gut Microbiota Signature of Obese Adults Across Different Classifications 80002655 ]
[1.5 ] Gut microbiota in the early stage of Crohn’s disease has unique characteristics 80002734 ]
[1.6 ] An open label, non-randomized study assessing a prebiotic fiber intervention in a small cohort of Parkinson’s disease participants 80002769 ]
[1.7 ] Microbiota–gut–brain axis mechanisms in the complex network of bipolar disorders: potential clinical implications and translational opportunities 80002837 ]
[1.8 ] Comparative in-silico analysis of microbial dysbiosis discern potential metabolic link in neurodegenerative diseases 80002870 ]
[1.9 ] Soy and Gastrointestinal Health: A Review 80002876 ]
[1.10 ] Gut microbiota compositional and functional fingerprint in patients with alcohol use disorder and alcohol-associated liver disease 80001386 ]
[1.11 ] The alteration of gut microbiome and metabolism in amyotrophic lateral sclerosis patients 80001425 ]
[1.12 ] Alterations in the human gut microbiome in anti-N-methyl-D-aspartate receptor encephalitis 80001157 ]
[1.13 ] Lower airway microbiota and mycobiota in children with sever asthma 80001065 ]
[1.14 ] Gut microbiota profile in children affected by atopic dermatitis and evaluation of intestinal persistence of a probiotic mixture 80000949 ]
[1.15 ] Helicobacter pylori infection aggravates dysbiosis of gut microbiome in children with gastritis 80001277 ]
[1.16 ] Disturbance of trace element and gut microbiota profiles as indicators of autism spectrum disorder: a pilot study of Chinese children 80000909 ]
[1.17 ] A metagenomic study of the gut microbiome in Behcet’s disease 80000793 ]
[1.18 ] Gut microbiota changes in patients with bipolar depression 80001106 ]
[1.19 ] Alteration of the gut microbiota in Chinese population with chronic kidney disease 80000616 ]
[1.20 ] Altered diversity and composition of gut microbiota in Chinese patients with chronic pancreatitis 80001241 ]
[1.21 ] Gut microbiome patterns depending on children’s psychosocial stress: reports versus biomarkers 80001328 ]
[1.22 ] Hepatocellular carcinoma is associated with gut microbiota profile and inflammation in nonalcoholic fatty liver disease 80000791 ]
[1.23 ] Composition of gut microbiota in patients with toxigenic Clostridioides (Clostridium) difficile: Comparison between subgroups according to clinical criteria and toxin gene load 80001022 ]
[1.24 ] The gut microbiota in collagenous colitis shares characteristics with inflammatory bowel diseas-associated dysbiosis 80001117 ]
[1.25 ] A metagenome-wide association study of gut microbiota in type 2 diabetes. 80000240 ]
[1.26 ] Gut microbial dysbiosis in individuals with Sjögren’s syndrome 80001407 ]
[1.27 ] Intestinal microbiota is altered in patients with gastric cancer from Shanxi Province, China 80001028 ]
[1.28 ] Gut microbiome analysis as a tool towards targeted non-invasive biomarkers for early hepatocellular carcinoma 80000859 ]
[1.29 ] Alterations of the gut microbiome in hypertension 80000630 ]
[1.30 ] Altered gut microbiota composition associated with eczema in infants 80000741 ]
[1.31 ] Microbiome analytics of the gut microbiota in patients with juvenile idiopathic arthritis: a longitudinal observational cohort study 80001040 ]
[1.32 ] Evidence for a distinct gut microbiome in kidney stone formers compared to non-stone formers 80000544 ]
[1.33 ] Altered fecal microbiota composition in patients with major depressive disorder. 80000265 ]
[1.34 ] Gut microbiota in early pediatric multiple sclerosis: a case-control study 80000269 ]
[1.35 ] Microbiota stratification identifies disease-specific alterations in neuro-Behcet’s disease and multiple sclerosis 80001269 ]
[1.36 ] Discrepant gut microbiota markers for the classification of obesity-related metabolic abnormalities 80001220 ]
[1.37 ] Diversity analysis of gut microbiota in osteoporosis and osteopenia patients 80001198 ]
[1.38 ] Identification and characterization of blood and neutrophil-associated microbiomes in patients with severe acute pancreatitis using next-generation sequencing 80000703 ]
[1.39 ] Unraveling gut microbiota in Parkinson’s Disease and Atypical Parkinsonism 80000955 ]
[1.40 ] Consistent alterations in faecal microbiomes of patients with primary sclerosing cholangitis independent of associated colitis 80001214 ]
[1.41 ] Dysbiosis of gut microbiota was closely associated with psoriasis 80001218 ]
[1.42 ] Tissue-Associated Bacterial Alterations in Rectal Carcinoma Patients Revealed by 16S rRNA Community Profiling 80000432 ]
[1.43 ] Alterations in the gut microbiota of patients with silica-induced pulmonary fibrosis 80000939 ]
[1.44 ] Dysbiosis of gut microbiota with reduced tremethylamine-N-oxide level in patients with large-artery atherosclerotic stroke or transient ischemic attack._DUBLICATE 80000456 ]
[1.45 ] Association of Gut Microbiome and Vitamin D Deficiency in Knee Osteoarthritis Patients: A Pilot Study 80001797 ]
[1.46 ] Characterization of intestinal microbiota in alcoholic patients with and without alcoholic hepatitis or chronic alcoholic pancreatitis 80000689 ]
[1.47 ] Mild cognitive impairment has similar alterations as Alzheimer’s disease in gut microbiota 80001081 ]
[1.48 ] Quantitative metagenomics reveals unique gut microbiome biomarkers in ankylosing spondylitis. 80000612 ]
[1.49 ] Sex-specific associations of infants’ gut microbiome with arsenic exposure in a US population 80000820 ]
[1.50 ] New evidences on the altered gut microbiota in autism spectrum disorders 80000956 ]
[1.51 ] Alterations of gut microbiome in autoimmune hepatitis 80001159 ]
[1.52 ] Impact of cigarette smoking on the middle meatus microbiome in health and chronic rhinosinusitis 80000887 ]
[1.53 ] Altered gut microbiota composition in subjects infected with Clonorchis sinensis 80000846 ]
[1.54 ] Comparison of gut microbiome in human colorectal cancer in paired tumor and adjacent normal tissues 80001290 ]
[1.55 ] Human intestinal lumen and mucosa-associated microbiota in patients with colorectal cancer 80000305 ]
[1.56 ] Reduced abundance of butyrate-producing bacteria species in the fecal microbial community in Crohn’s Disease. 80000250 ]
[1.57 ] Fungal dysbiosis in mucosa-associated microbiota of Crohn’s disease patients 80000760 ]
[1.58 ] Implication of the gut microbiome composition of type 2 diabetic patients from northern China 80001348 ]
[1.59 ] Alterations in gut microbiota of gestational diabetes patients during the first trimester of pregnancy 80001364 ]
[1.60 ] Molecular alteration analysis of human gut microbial composition in Graves’ disease patients 80000858 ]
[1.61 ] Featured gut microbiomes associated with the progression of chronic hepatitis B disease 80001369 ]
[1.62 ] Gut microbiome alterations in patients with stage 4 hepatitis C 80000613 ]
[1.63 ] Effects of HIV viremia on the gastrointestinal microbiome of young MSM 80000959 ]
[1.64 ] Alterations in the gut microbiota associated with HIV-1 infection 80000339 ]
[1.65 ] The gut microbiome in epilepsy 80001252 ]
[1.66 ] Fungal microbiota dysbiosis in IBD 80000756 ]
[1.67 ] The microbiome of translocated bacterial populations in patients with and without inflammatory bowel disease 80000893 ]
[1.68 ] Global and deep molecular analysis of microbiota signatures in fecal samples from patients with irritable bowel syndrome. 80000294 ]
[1.69 ] Specific gut microbiome signature predicts the early-stage lung cancer 80001413 ]
[1.70 ] Conjuctival dysbiosis in mucosa-associated lyphoid tissue lymphoma 80001109 ]
[1.71 ] Nonalcoholic fatty liver disease is associated with dysbiosis independent of body mass index and insulin resistance 80000685 ]
[1.72 ] Obese individuals with and without Type 2 diabetes show different gut microbial functional capacity and composition 80001082 ]
[1.73 ] Stool microbiota composition in patients with stomach, colon, and rectal neoplasms 80000819 ]
[1.74 ] Fecal microbiota and metabolome of children with autism and pervasive developmental disorder not otherwise specified 80000449 ]
[1.75 ] Obese adolescents with PCOS have altered biodiversity and relative abundance in Gastrointestinal microbiota 80001360 ]
[1.76 ] Distinct microbiome in pouchitis compared to healthy pouches in ulcerative colitis and familial adenomatous polyposis. 80000242 ]
[1.77 ] A pilot study of fecal bile acid and microbiota profiles in inflammatory bowel disease and primary sclerosing cholangitis 80000964 ]
[1.78 ] Characterisation of the faecal microbiota in Japanese patients with paediatric-onset primary sclerosing cholangitis_DUBLICATE 80000335 ]
[1.79 ] Decreased bacterial diversity characterizes an altered gut microbiota in psoriatic arthritis and resembles dysbiosis of inflammatory bowel disease. 80000525 ]
[1.80 ] The fecal microbiome in pediatric patients with short bowel syndrome. 80000244 ]
[1.81 ] Altered mucosal microbiome diversity and disease severity in Sjögren Syndrome 80000347 ]
[1.82 ] Urogenital schistosomiasis is associated with signatures of microbiome dysbiosis in Nigerian adolescents 80000952 ]
[1.83 ] Faecal microbial dysbiosis in children with Wiskott-Aldrich syndrome 80001296 ]
[1.84 ] Separating the Empirical Wheat From the Pseudoscientific Chaff: A Critical Review of the Literature Surrounding Glyphosate, Dysbiosis and Wheat-Sensitivity 80001476 ]
[1.85 ] How Discrimination Gets Under the Skin: Biological Determinants of Discrimination Associated with Dysregulation of the Brain-Gut Microbiome System and Psychological Symptoms 80002702 ]
