Disease
Microbiota ☳
Metabolome
Factor
Corynebacteriaceae ⇒ Corynebacterium {10000263}
Record Keys
Parent:
Definition: Corynebacterium
Details
Initialisation date: 2020-10-02
Meta Information
Rank:
Domain:
Enzyme: [ ]
Function: Androgen-utilizing
Notes: Shared Reference Notes
[1.1 ] [#Cutibacterium acnes , #Staphylococcus epidermidis ] #Acne > increased #Actinobacteria followed by #Firmicutes and #Proteobacteria , #Cutibacterium ,#Staphylococcus and Corynebacterium .
- C. acnes > major species in terms of mean abundance, followed by #Staphylococcus epidermidis (S. epidermidis) and #Staphylococcus hominis (S. hominis);
[1.73 ] [#Atopic Dermatitis ] [#Staphylococcus aureus , #Staphylococcus epidermidis ] Corynebacterium spp. among AD patients.
- S. epidermidis, a commensal present on non–inflamed skin, appears to be S. aureus best antagonist.
- less severe flares of AD had higher counts of S. epidermidis whereas the more severe flares were associated with S. aureus
[1.15 ] [#Covid-19 ] Corynebacterium /#Dolosigranulum -dominant microbiome profiles were less likely to have respiratory symptoms than infected participants with other nasopharyngeal microbiome profiles
[1.33 ] [#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.
[1.74 ] #Staphylococci , #Acinetobacter , #Methylobacterium , #Propionibacterium , #Pseudomonas , #Streptophyta , #Sphingomonas , and Corynebacterium species
[1.29 ] #Cesarean section (C-section) are often colonized by bacteria that are more commonly found on the skin, including #Staphylococcus , #Propionibacterium or Corynebacterium
[1.36 ] #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.
[1.75 ] [#Natural Skin Microbiome ] #Staphylococcus and Corynebacterium .
[1.76 ] #Kocuria and #Cutibacterium were enriched in healthy subjects, while #Staphylococcus was enriched in psoriatic disease.
- The relative abundance of Corynebacterium was higher in NL #Psoriatic Arthritis (PsA). samples compared with NL #Psoriasis (PsO) samples.
[1.77 ] [#Ovarian cancer ] #Dialister , Corynebacterium , Prevotella, and #Peptoniphilus in the OC cohort in all body sites excluding stool and omentum particularly in OC patients with adverse treatment outcomes compared to those without events.
[1.64 ] #Non-Atopic Dermatitis , an abundance of #Bacillus and #Brevibacillus was significantly increased while that of Corynebacterium was significantly decreased in affected vs. unaffected skin
↥ by Factor
‐ Sleep Oral cavity Human [1.72 ]
Author: MetaBiomIdentifier: 10000263URL: https://www.metabiom.org/microbiota/158/corynebacteriumKeywords: Microbiome, Dysbiosis, Microbiota, Organism, Bacteria
Common References
[1.1 ] Rhodomyrtus tomentosa Fruit Extract and Skin Microbiota: A Focus on C. acnes Phylotypes in Acne Subjects 80001444 ]
[1.2 ] Drinking alcohol is associated with variation in the human oral microbiome in a large study of american adults 80000944 ]
[1.3 ] Quantitative metagenomics reveals unique gut microbiome biomarkers in ankylosing spondylitis. 80000612 ]
[1.4 ] Temporal shifts in the skin microbiome associated with disease flares and treatment in children with atopic dermatitis 80000491 ]
[1.5 ] Alterations of oral microbiota distinguish children with autism spectrum disorders from healthy controls 80000691 ]
[1.6 ] New evidences on the altered gut microbiota in autism spectrum disorders 80000956 ]
[1.7 ] Comparative ocular microbial communities in humans with and without Blepharitis 80000393 ]
[1.8 ] Breast tissue, oral and urinary microbiomes in breast cancer 80000875 ]
[1.9 ] Evaluation of cutaneous, oral and intestinal microbiota in patients affected by pemphigus and bullous pemphigoid: a pilot study 80001251 ]
[1.10 ] Carious status and supragingival plaque microbiota in hemodialysis patients 80000880 ]
[1.11 ] Analysis of the airway microbiota of healthy individuals and patients with chronic obstructive pulmonary disease by T-RFLP and clone sequencing. 80000383 ]
[1.12 ] Commensal microflora in human conjuctiva; characteristics of microflora in the patients with chronic ocular graf-versus-host disease 80001080 ]
[1.13 ] Gut microbiota composition and Clostridium difficile infection in hospitalized elderly individuals: a metagenomic study 80001033 ]
[1.14 ] The conjunctival microbiome in health and trachomatous disease: a case control study. 80000391 ]
[1.15 ] Age-related changes in the nasopharyngeal microbiome are associated with SARS-CoV-2 infection and symptoms among children, adolescents, and young adults 80002363 ]
[1.16 ] Quantitation and Composition of Cutaneous Microbiota in Diabetic and Nondiabetic Men 80000458 ]
[1.17 ] Oral microbiome signatures in diabetes mellitus and periodontal disease 80001350 ]
[1.18 ] Dysbiosis of urinary microbiota is positively correlated with type 2 diabetes mellitus 80000429 ]
[1.19 ] Molecular detection of microbial colonization in cervical mucus of women with and without endometriosis 80001113 ]
[1.20 ] Inflammation-associated microbiota in pediatric eosinophilic esophagitis 80000547 ]
[1.21 ] Dental black plaque: metagenomic characterization and comparative analysis with white-plaque 80001477 ]
[1.22 ] Analysis of the microbiota of black stain in the primary dentition 80001289 ]
[1.23 ] Alterations of gastric mucosal microbiota across different stomach microhabitats in a cohort of 276 patients with gastric cancer 80000998 ]
[1.24 ] Dynamic Changes in the Nasal Microbiome Associated with Disease Activity in Patients with Granulomatosis with Polyangiitis 80001716 ]
[1.25 ] Loss of skin microbial diversity and alteration of bacterial metabolic function in Hidradenitis suppurativa 80001249 ]
[1.26 ] Effects of HIV viremia on the gastrointestinal microbiome of young MSM 80000959 ]
[1.27 ] Microbiota profile is different for early and invasive colorectal cancer and is consistent throughout the colon 80001383 ]
[1.28 ] Signatures of oral microbiome in HIV-infected individuals with oral Kaposi’s sarcoma and cell-associated KSHV DNA 80001284 ]
[1.29 ] A complete guide to human microbiomes: Body niches, transmission, development, dysbiosis, and restoration 80002487 ]
[1.30 ] Gut microbiome analysis in Neuromyelitis Optica reveals overabundance of Clostridium perfringens 80000694 ]
[1.31 ] Comparative study of vulva and abdominal skin microbiota of healthy females with high and average BMI 80000935 ]
[1.32 ] Tongue coating microbiome data distinguish patients with pancreatic head cancer from healthy controls 80001042 ]
[1.33 ] Exploring the multifactorial aspects of Gut Microbiome in Parkinson’s Disease 80002403 ]
[1.34 ] Distinct gut microbiota profiles in patients with primary sclerosing cholangitis and ulcerative colitis 80000752 ]
[1.35 ] Characterization of intestinal microbiota in ulcerative colitis patients with and without primary sclerosing cholangitis 80000753 ]
[1.36 ] Bladder Tissue Microbiome Composition in Patients of Bladder Cancer or Benign Prostatic Hyperplasia and Related Human Beta Defensin Levels 80002488 ]
[1.37 ] Profiling the salivary microbiome of the Qatari population 80001335 ]
[1.38 ] Alterations in the Genital Microbiota in Women With Spinal Cord Injury 80000468 ]
[1.39 ] Disordered cutaneous microbiota in systemic lupus erythematosus 80001253 ]
[1.40 ] Bacteriome and mycobiome associations in oral tongue cancer 80001010 ]
[1.41 ] Comparative analysis of the vaginal microbiome of pregnant women with either Trichomonas vaginalis of Chamydia trachomatis 80001283 ]
[1.42 ] Temporal changes in gut microbiota profile in children with acute lymphoblastic leukemia prior to commencement-, during-, and post-cessation of chemotherapy 80001331 ]
[1.43 ] Subgingival microbiota in health compared to periodontitis and the influence of smoking 80000406 ]
[1.44 ] The infant airway microbiome in health and disease impacts later asthma development 80000735 ]
[1.45 ] Different upper airway microbiome and their functional genes associated with asthma in young adults and elderly individuals 80001003 ]
[1.46 ] Gut microbiota profile in children affected by atopic dermatitis and evaluation of intestinal persistence of a probiotic mixture 80000949 ]
[1.47 ] Gut microbiota features in young children with autism spectrum disorders 80000980 ]
[1.48 ] 16 S rDNA microbiome composition pattern analysis as a diagnostic biomarker for biliary tract cancer 80001333 ]
[1.49 ] The urinary microbiome associated with bladder cancer 80001102 ]
[1.50 ] The microbiota of breast tissue and its association with breast cancer 80000898 ]
[1.51 ] Molecular characterization of skin microbiota between cancer cachexia patients and healthy volunteer 80001180 ]
[1.52 ] Relationship of children’s salivary microbiota with their caries status: a pyrosequencing study. 80000348 ]
[1.53 ] Blood microbiome profile in CKD: A pilot study 80000967 ]
[1.54 ] Skin microbiome imbalance in patients with STAT1/STAT3 defects impairs innate host defense responses 80001196 ]
[1.55 ] Metagenome and metatranscriptome profiling of moderate and severe COPD sputum in Taiwanese Han Males 80000876 ]
[1.56 ] Evidence of Microbiota Dysbiosis in Chronic Rhinosinusitis 80000510 ]
[1.57 ] The difference in nasal bacterial microbiome diversity between chronic rhinosinusitis patients with polyps and a control population 80000992 ]
[1.58 ] Comparison of oropharyngeal microbiota from children with asthma and cystic fibrosis 80000734 ]
[1.59 ] Decreased diversity of the oral microbiota of patients with hepatitis B virus-induced chronic liver disease: a pilot project 80000571 ]
[1.60 ] Altered gut microbiota composition associated with eczema in infants 80000741 ]
[1.61 ] Distinct nasopharyngeal and oropharyngeal microbiota of children with influenza A virus compared with healthy children 80000961 ]
[1.62 ] Comparative analysis of the oral microbiota between iron-deficiency anaemia (IDA) patients and healthy individuals by high-throughput sequencing 80001259 ]
[1.63 ] The microbiome of the nasolacrimal system and its role in nasolacrimal duct obstruction 80001361 ]
[1.64 ] Cutaneous dysbiosis may amplify barrier dysfunction in patients with atopic dermatitis 80002724 ]
[1.65 ] A microbiome case-control study of recurrent acute otitis media identified potentially protective bacterial genera 80000688 ]
[1.66 ] Identification and characterization of blood and neutrophil-associated microbiomes in patients with severe acute pancreatitis using next-generation sequencing 80000703 ]
[1.67 ] Oral and nasal microbiota in Parkinson’s disease 80000279 ]
[1.68 ] Periodontal disease and the oral microbiota in new-onset rheumatoid arthritis 80000389 ]
[1.69 ] Molecular characterization of circulating microbiome signatures in rheumatoid arthritis 80001275 ]
[1.70 ] Cigarette smoking and the oral microbiome in a large study of American adults 80000996 ]
[1.71 ] Microbial community profiling shows dysbiosis in the lesional skin of Vitiligo subjects_DUBLICATE 80000494 ]
[1.72 ] Impact of sleep on the microbiome of oral biofilms 80002158 ]
[1.73 ] The Human Skin Microbiome in Selected Cutaneous Diseases 80002353 ]
[1.74 ] Do Oral Pathogens Inhabit the Eye and Play a Role in Ocular Diseases? 80002444 ]
[1.75 ] Characteristics of the Skin Microbiome in Selected Dermatological Conditions: A Narrative Review 80002602 ]
[1.76 ] Alterations in the cutaneous microbiome of patients with psoriasis and psoriatic arthritis reveal similarities between non-lesional and lesional skin 80002680 ]
[1.77 ] Diagnostic and prognostic potential of the microbiome in ovarian cancer treatment response 80002710 ]
