Disease
Microbiota ☳
Metabolome
Factor
Staphylococcaceae ⇒ Staphylococcus {10000613}
Record Keys
Parent:
Definition: Staphylococcus
Details
Initialisation date: [ ]
Meta Information
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Domain:
Zone: [ ]
Enzyme: [ ]
Function: [ ]
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);
[1.2 ] #Ascorbic acid (vitamin C) during pregnancy was positively correlated with the abundance of Staphylococcus .
[1.3 ] #Cesarean section (C-section) are often colonized by bacteria that are more commonly found on the skin, including Staphylococcus , #Propionibacterium or #Corynebacterium
[#Natural ear microbiota ] - The microbiota of the ear canal is similar to that found on the skin. Therefore, #Corynebacterium , Staphylococcus , and #Propionibacterium genera are prevalent taxa.
- middle ear is actually colonized by Proteobacteria, #Actinobacteria , and #Firmicutes
[#Natural eye microbiota ] - The microbial composition of the eyelids is dominated by two skin taxa Staphylococcus and #Propionibacterium .
- The meibum is characterized by a dominance of #Propionibacterium and #Pseudomonas , while the conjunctiva is defined exclusively by #Propionibacterium
[1.4 ] #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.
[1.5 ] [#Natural Skin Microbiome ] Staphylococcus and #Corynebacterium .
[1.6 ] #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.
[1.7 ] [#Atopic Dermatitis ] Staphylococcus , Lactococcus, and #Alternaria were found in atopics.
- Staphylococcus and #Alternaria formed robust mixed-species biofilms (based on XTT and SEM) that were resistant to antifungals/antimicrobials.
- their biofilm supernatant was capable of influencing keratinocytes biology (pro-inflammatory cytokines and structural proteins), suggesting an additive effect on AD-associated host response.
[1.8 ] [#Natural Skin Microbiome ] [#Infants ] #Proteobacteria , #Firmicutes , #Actinobacteria , and #Bacteroidetes being the most abundant.
- the relative abundance of #Burkholderiaceae and Staphylococcus , highly abundant after birth, decreased progressively, to the benefit of newly colonizing taxa such as #Streptococcus , #Veillonella , and #Enhydrobacter aerosaccus
[1.9 ] #Breast cancer intramural Microbial biomarkers #Acinetobacter , #Citrobacter , #Enterobacter , Staphylococcus , #Paracoccus and #Akkermansia were differentially abundant in breast tumors from #Black women compared with those from white women.
[#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.
[1.11 ] [#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 .
[1.12 ] [#Infants ] #Lactobacillus , #Clostridium , Staphylococcus , #Streptococcus , #Bacteroides , and #Bifidobacterium
[1.13 ] #Clostridiales , Staphylococcus , and #Lachnospiraceae positively correlated with all of the cellular senescence and inflammatory markers.
[1.14 ] [#Cutibacterium acnes ] #Cutibacterium acnes secretes a thiopeptide RiPP called #Cutimycin that inhibits members of Staphylococcus but does not affect the members of the genera #Corynebacterium and #Cutibacterium .
[1.15 ] #Firmicutes genera are #Listeria , #Paenibacillus , Staphylococcus , #Streptococcus , #Pediococcus , and #Leuconostoc .
[1.16 ] #Celiac Disease , with a greater presence of species from the Staphylococcus genus observed
[1.17 ] Staphylococcus and #Streptococcus species, #Corynebacterium species may serve as novel pathogenic candidate microbes for #Vasculitis .
[1.18 ] [#Cutibacterium acnes ] [#Short peptide bacteriocins ] #Cutimycin , a peptide which is capable of inhibiting Staphylococcus species growth.
[1.19 ] #Staphylococci become Th1-type cells; however, this differentiation is mitigated in #Bifidobacterium -stimulated T-cells.
- prestimulation of T-cells with #Bifidobacterium suppresses the activation of Staphylococcus -specific T-helper cells in a cell-cell dependent manner by inducing FoxP3+CD4+ T-cells, increasing #IL-10 and galectin-1 secretion and showing a CTLA-4-dependent inhibitory capacity.
[#Natural Skin Microbiome ] [#Actinobacteria ] - Belly button (BB) and between toes (BT) (moist microenvironment) were mainly comprised of Actinobacteriota and #Firmicutes ; behind ears (BE) (oily microenvironment) was dominated by #Firmicutes ; and calves (CA) and forearms (FA) (dry microenvironment) included a combination of those three phyla.
- BB and BT (moist microenvironment) were dominated by Staphylococcus and #Corynebacterium , BE (oily microenvironment) by Staphylococcus and #Anaerococcus , while CA and FA (dry microenvironment) showed a high proportion of Staphylococcus and #Corynebacterium , but also of #Streptococcus and #Escherichia -#Shigella . #Anaerococcus was also highly abundant in BB.
[1.21 ] #Psoriasis > an increased relative abundance of Staphylococcus on the retroarticular crease both on affected and unaffected skin
[1.22 ] #Lactobacillus , #Bacillus , #Corynebacterium , #Streptococcus , #Pseudomonas , Staphylococcus , #Escherichia -#Shigella were observed to decrease in Viral #Keratitis microbiomes. And the abundance of some opportunistic pathogens such as #Rhodococcus were increased.
[#Staphylococcus epidermidis ] - The eyes with Fungal #Keratitis in the study showed a lower abundance of Staphylococcus .
- Staphylococcus epidermidis was reported to be skin commensal and could offer heterologous protection against pathogenic fungal infections through induction of #IL-17A + CD8 + T cells.
[1.23 ] Staphylococcus abundance with #Hyperoxia exposure is robust
Intervention in Disease
Author: MetaBiomIdentifier: 10000613URL: https://www.metabiom.org/microbiota/524/staphylococcusKeywords: 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 ] Maternal Vegetable and Fruit Consumption during Pregnancy and Its Effects on Infant Gut Microbiome 80001899 ]
[1.3 ] A complete guide to human microbiomes: Body niches, transmission, development, dysbiosis, and restoration 80002487 ]
[1.4 ] Bladder Tissue Microbiome Composition in Patients of Bladder Cancer or Benign Prostatic Hyperplasia and Related Human Beta Defensin Levels 80002488 ]
[1.5 ] Characteristics of the Skin Microbiome in Selected Dermatological Conditions: A Narrative Review 80002602 ]
[1.6 ] Alterations in the cutaneous microbiome of patients with psoriasis and psoriatic arthritis reveal similarities between non-lesional and lesional skin 80002680 ]
[1.7 ] Cutaneous dysbiosis may amplify barrier dysfunction in patients with atopic dermatitis 80002724 ]
[1.8 ] The skin microbiome in the first year of life and its association with atopic dermatitis 80002801 ]
[1.9 ] Concomitant analyses of intratumoral microbiota and genomic features reveal distinct racial differences in breast cancer 80002831 ]
[1.10 ] Prediction of breast cancer using blood microbiome and identification of foods for breast cancer prevention 80002835 ]
[1.11 ] Gut-Muscle Axis Exists and May Affect Skeletal Muscle Adaptation to Training 80002842 ]
[1.12 ] The role of human milk fats in shaping neonatal development and the early life gut microbiota 80002843 ]
[1.13 ] How Microbiomes Affect Skin Aging: The Updated Evidence and Current Perspectives 80002854 ]
[1.14 ] Microbial derived antimicrobial peptides as potential therapeutics in atopic dermatitis 80002951 ]
[1.15 ] Gut Microbiome–Brain Alliance: A Landscape View into Mental and Gastrointestinal Health and Disorders 80003039 ]
[1.16 ] A review of the auditory-gut-brain axis 80003317 ]
[1.17 ] Alteration of microbial composition in the skin and blood in vasculitis 80003438 ]
[1.18 ] Are Antimicrobial Peptides a 21st-Century Solution for Atopic Dermatitis? 80003459 ]
[1.19 ] Bifidobacteria shape antimicrobial T-helper cell responses during infancy and adulthood 80003482 ]
[1.20 ] Spatial diversity of the skin bacteriome 80003507 ]
[1.21 ] Thermal Therapy Modulation of the Psoriasis-Associated Skin and Gut Microbiome 80003510 ]
[1.22 ] Ocular microbial dysbiosis and its linkage with infectious keratitis patients in Northwest China: A cross-sectional study 80003511 ]
[1.23 ] Antimicrobial peptides modulate lung injury by altering the intestinal microbiota 80003579 ]
[1.24 ] Inflammatory skin is associated with changes in the skin microbiota composition on the back of severe acne patients 80001127 ]
[1.25 ] Molecular diagnosis of vaginitis: comparing quantitative PCR and microbiome profiling approaches to current microscopy scoring 80001177 ]
[1.26 ] Microbiome and bile acid profiles in duodenal aspirates from patients with liver cirrhosis: the microbiome, microbial markers and liver disease study_DUBLICATE 80000993 ]
[1.27 ] Gut microbiota compositional and functional fingerprint in patients with alcohol use disorder and alcohol-associated liver disease 80001386 ]
[1.28 ] Skin microbiome differences in atopic dermatitis and healthy controls in Egyptian children and adults, and association with serum immunoglobulin E 80001201 ]
[1.29 ] Comparative ocular microbial communities in humans with and without Blepharitis 80000393 ]
[1.30 ] The microbiota of breast tissue and its association with breast cancer 80000898 ]
[1.31 ] Breast tissue, oral and urinary microbiomes in breast cancer 80000875 ]
[1.32 ] Evaluation of cutaneous, oral and intestinal microbiota in patients affected by pemphigus and bullous pemphigoid: a pilot study 80001251 ]
[1.33 ] Duodenal and faecal microbiota of celiac children: molecular, phenotype and metabolome characterization. 80000529 ]
[1.34 ] Comositional and functional differences between microbiota and cervical carcinogenesis as identified by shotgun metagenomic sequencing 80000960 ]
[1.35 ] Alterations of gut microbiota in cholestatic infants and their correlation with hepatic function 80000981 ]
[1.36 ] Characterization of intestinal microbiota in alcoholic patients with and without alcoholic hepatitis or chronic alcoholic pancreatitis 80000689 ]
[1.37 ] Gut microbiota composition and Clostridium difficile infection in hospitalized elderly individuals: a metagenomic study 80001033 ]
[1.38 ] Inflammation-related differences in mucosa-associated microbiota and intestinal barrier function in colonic Crohn’s disease 80000896 ]
[1.39 ] Cutaneous burn injury modulates urinary antimicrobial peptide responses and the urinary microbiome 80000424 ]
[1.40 ] Differences in the lower airway microbiota of infants with and without cystic fibrosis 80001064 ]
[1.41 ] Comparison of oropharyngeal microbiota from children with asthma and cystic fibrosis 80000734 ]
[1.42 ] Characterization of the major bacterial-fungal populations colonizing dandruff scalps in Shanghai, China, shows microbial disequilibrium 80000897 ]
[1.43 ] Quantitation and Composition of Cutaneous Microbiota in Diabetic and Nondiabetic Men 80000458 ]
[1.44 ] Dysbiosis of urinary microbiota is positively correlated with type 2 diabetes mellitus 80000429 ]
[1.45 ] Dynamic Changes in the Nasal Microbiome Associated with Disease Activity in Patients with Granulomatosis with Polyangiitis 80001716 ]
[1.46 ] Mucosal microbiome profiles polygenic irritable bowel syndrome in Mestizo individuals 80001366 ]
[1.47 ] The composition of microbiome in larynx and the throat biodiversity between laryngeal squamous cell carcinoma patients and control population. 80000246 ]
[1.48 ] Local oral and nasal microbiome diversity in age-related macular degeneration 80001340 ]
[1.49 ] The microbiome of the nasolacrimal system and its role in nasolacrimal duct obstruction 80001361 ]
[1.50 ] Metagenomic analysis of duodenal microbiota reveals a potential biomarker of dysbiosis in the course of obesity and type 2 diabetes: a pilot study 80001381 ]
[1.51 ] Urinary microbiome and psychological factors in women with overactive bladder 80001129 ]
[1.52 ] Identification and characterization of blood and neutrophil-associated microbiomes in patients with severe acute pancreatitis using next-generation sequencing 80000703 ]
[1.53 ] Compositional and functional features of the female premenopausal and postmenopausal gut microbiota 80001233 ]
[1.54 ] Distinct gut microbiota profiles in patients with primary sclerosing cholangitis and ulcerative colitis 80000752 ]
[1.55 ] Alterations of the bile microbiome in primary sclerosing cholangitis 80001160 ]
[1.56 ] Unexplored diversity and strain-level structure of the skin microbiome associated with psoriasis 80000979 ]
[1.57 ] Alveolar microbiota profile in patients with human pulmonary tuberculosis and interstitial pneumonia 80001312 ]
[1.58 ] Malassezia and Staphylococcus dominate scalp microbiome for seborrheic dermatitis 80001287 ]
[1.59 ] Gut Microbial Dysbiosis in the Pathogenesis of Gastrointestinal Dysmotility and Metabolic Disorders 80001733 ]
[1.60 ] The microbiome of the "sterile" pustules in palmoplantar pustulosis 80000900 ]
[1.61 ] Impact of cigarette smoking on the middle meatus microbiome in health and chronic rhinosinusitis 80000887 ]
[1.62 ] Comparison of the ocular microbiome between chronic Stevens-Johnson syndrome patients and healthy subjects 80001339 ]
[1.63 ] The female urinary microbiome: a comparison of women with and without urgency urinary incontinence 80000787 ]
[1.64 ] Temporal changes in gut microbiota profile in children with acute lymphoblastic leukemia prior to commencement-, during-, and post-cessation of chemotherapy 80001331 ]
[1.65 ] Characterization of gut microbiota composition and functions in patients with chronic alcohol overconsumption 80001029 ]
[1.66 ] Scalp bacterial shift in Alopecia areata 80001000 ]
[1.67 ] The infant airway microbiome in health and disease impacts later asthma development 80000735 ]
[1.68 ] Airway microbiome in different inflammatory phenotypes of asthma: a cross-sectional study in northeast China 80000997 ]
[1.69 ] Gut microbiota profile in children affected by atopic dermatitis and evaluation of intestinal persistence of a probiotic mixture 80000949 ]
[1.70 ] Intestinal dysbiosis and reduced immunoglobulin-coated bacteria associated with coeliac disease in children. 80000327 ]
[1.71 ] The human laryngeal microbiome: effects of cigarette smoke and reflux 80000508 ]
[1.72 ] Metagenome and metatranscriptome profiling of moderate and severe COPD sputum in Taiwanese Han Males 80000876 ]
[1.73 ] Changes of the intestinal microbiota, short chain fatty acids, and fecal pH in patients with colorectal cancer 80000303 ]
[1.74 ] Gut microbiome-based diagnostic model to predict coronary artery disease 80001414 ]
[1.75 ] Respiratory mycobiome and suggestion of inter-kingdom network during acute pulmonary exacerbation in cystic fibrosis 80001338 ]
[1.76 ] Alterations in Intestinal Microbiota Correlate With Susceptibility to Type 1 Diabetes. 80000838 ]
[1.77 ] Distribution and diversity of ocular microbial communities in diabetic patients compared with healthy subjects 80001161 ]
[1.78 ] Synchronous genitourinary lichen sclerosus signals a distinct urinary microbiome profile in men with urethral stricture disease 80001356 ]
[1.79 ] Dysbiosis of the gut microbiota is associated with HIV disease progression and tryptophan catabolism 80000345 ]
[1.80 ] Distinct nasopharyngeal and oropharyngeal microbiota of children with influenza A virus compared with healthy children 80000961 ]
[1.81 ] Nasopharyngeal microbiota in children with invasive pneumococcal disease: identification of bacteria with potential disease-promoting and protective effects 80000985 ]
[1.82 ] Evidence of altered mucosa-associated and fecal microbiota composition in patients with irritable bowel syndrome 80001337 ]
[1.83 ] Characterization of the gut microbiota of Kawasaki disease patients by metagenomic analysis 80000556 ]
[1.84 ] Proinflammatory sulfur-reducing bacteria are more abundant in colonic biopsies of patients with microscopic colitis compared to healthy controls 80000870 ]
[1.85 ] Comparison of bacterial microbiota in skin biopsies from normal and psoriatic skin. 80000365 ]
[1.86 ] Molecular characterization of circulating microbiome signatures in rheumatoid arthritis 80001275 ]
[1.87 ] Cigarette smoking modulation of saliva microbial composition and cytokine levels 80000857 ]
[1.88 ] Microbiome dysbiosis is associated with disease duration and increased inflammatory gene expression in systemic sclerosis skin 80000940 ]
[1.89 ] The microbiome in urogenital schistosomiasis and induced bladder pathologies 80001012 ]
