Disease
Microbiota ☳
Metabolome
Factor
Streptococcaceae ⇒ Streptococcus {10000167}
Record Keys
Parent:
Definition: Streptococcus
Details
Initialisation date: 2020-09-06
Meta Information
Rank:
Domain:
Zone: [ ]
Enzyme: [ ]
Function: Fibrosis-triggering
Notes: Shared Reference Notes
[1.1 ] [#Gastric carcinoma ] #Aquabacterium , Streptococcus and #Lachnospiraceae > predict gastric cancer.
- patients with low levels of Streptococcus and #Lachnospiraceae > more likely to live with gastric cancer without it getting worse.
- Patient > more bacterial genes involved in the breakdown of #D-galacturonate > play a key role in the development of gastric cancer
[1.2 ] [#Steatohepatitis ] Streptococcus , #Shuttleworthia , #Rothia ), increased IP and elevated markers of microbial translocation characterized AUD patients with progressive ALD (steato-hepatitis, steato-fibrosis).
[1.3 ] [#Lactobacillus paracasei ] #Fibrosis -triggering microbial populations in the cecum as mucolytic bacteria : the species #Mucispirillum schaedleri , the genus #Ruminococcus , and the genus #Anaeroplasma , and in the ileum, such as the genera Streptococcus and Lactobacillus.
[1.4 ] [#Sleep Deprivation ] Streptococcus was negatively correlated with the concentration of fecal #Butyrate and positively correlated with the KEGG pathway of #Lipopolysaccharide biosynthesis.
[1.5 ] [#Neuromyelitis optica ] Streptococcus , which is corrected with immunomodulatory drugs.
[1.6 ] #Gemella and Streptococcus .
[1.7 ] Streptococcus abundance was associated with 1.14 times the risk of #Lung cancer
[1.8 ] [#Gastric bypass surgery ] #Lactococcus , Streptococcus , and #Granulicatella are #Lactate -producing microorganisms, whereas #Dorea and #Blautia are #Lactate oxidizers
[1.9 ] #Acidovorax , #Devosia , #Methylobacterium , #Phascolarctobacterium , and Streptococcus in the peritoneal fluid of #Endometriosis patients
- women with #Endometriosis had elevated #Gardnerella , Streptococcus , #Escherichia , #Shigella , and #Ureoplasma in their cervix and elevated #Shigella /#Escherichia in their stool
[#Diabetes Type 1 , #Diabetes Type 2 ] - Compared to the levels in non-diabetic individuals, diabetes patients exhibited a higher abundance of #Neisseria , TM7, #Gemella , #Eikenella , #Selenomonas , #Actinomyces , #Capnocytophaga , #Fusobacterium , #Aggregatibacter , #Veillonella , and Streptococcus genera and a lower abundance of Filifactor, Synergistetes, Tannerella, Eubacterium, Porphyromonas, and Treponema genera
[1.11 ] [#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
[1.12 ] [#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
[#Bipolar disorder , #Major depressive disorder ] - MDD and BD had more commonalities, including higher #Enterococcus , #Flavonifractor , and Streptococcus , and lower #Faecalibacterium and #Ruminococcus .
[1.13 ] [#Infants ] #Lactobacillus , #Clostridium , #Staphylococcus , Streptococcus , #Bacteroides , and #Bifidobacterium
[1.14 ] [#Bacteroides-Prevotella group , #Clostridium III ] Streptococcus , #Shigella , #Desulfovibrio , Christensenelia, and #Akkermansia muciniphila have the #Putrescine III synthesis pathway and belong to the elevated microbes group.
- in neurodegenerative disease > The microbes with elevated populations, like #Bilophila , Butryicicoccus, #Alistipes , #Enterococcus , #Lactobacillus , Streptococcus , #Shigella , and #Desulfovibrio , have the metabolic capability to produce #Putrescine majorly by the #Putrescine III biosynthesis pathway.
- In neurodegenerative diseases > #Histamine and other important #Neurotransmitters were synthesized in reduced amounts by the microbes with an elevated population in the diseased state.
- Most of the microbes, except #Desulfovibrio , #Lactobacillus , and Streptococcus , showed no annotation in their #Genome to synthesize #Histamine .
- in neurodegenerative disease > #Shigella , #Lactobacillus , and Streptococcus are such microbes with elevated populations and the highest PS for the #Putrescine III biosynthetic pathway.
[1.15 ] [#Atherosclerosis , #Rheumatic Hearth Disease ] [#Porphyromonas gingivalis ] #Actinomyces , Streptococcus , and #Treponema denticola , have been confirmed as sources of infected heart valves, atherosclerotic plaques, and rheumatic heart valves
[#Atherosclerosis ] - the existence of #Veillonella and Streptococcus in atherosclerotic plaques, whose bacterial abundances positively correlated with their abundance in the oral cavity, indicating that oral #Veillonella probably spread to extraoral organs via the circulatory system
[#Periodontal abscess ] [#Fusobacterium nucleatum ] - patients with F. nucleatum or Streptococcus pepticus bacteremia are more likely to suffer from subsequent #Colorectal cancer
[#Diabetes Type 2 ] - In periodontitis-associated type 2 diabetes (T2D), Streptococcus and #Veillonella are dominant in the symbiosis network, and microbial shifts may contribute to systemic inflammation and metabolic dysfunction
[#Primary sclerosing cholangitis ] [#Roseomonas mucosa , #Streptococcus salivarius ] - Even in the early stages, PSC patients’ stool and mucosa significantly enrich oral pathogenic bacteria such as Streptococcus , #Veillonella , and #Actinomyces (Streptococcus salivarius is an independent predictor of liver-related three-year mortality)
[1.16 ] #Bacteroidetes , namely #Prevotella , and lower proportions of #Firmicutes (Streptococcus , #Veillonella , #Gemella , and #Lactobacillaceae ) are found in the duodenum compared with the jejunum.
[#Natural Small intestine Microbiome ] [#Escherichia coli ] - At the genus level, bacteria highly abundant in the SI include #Lactobacillus , #Veillonella , Streptococcus , #Gemella , #Actinomyces , and E. coli.
[1.17 ] [#Celiac Disease ] [#Bacteriophage ] #Children with CeD included Human polyomavirus 2, Enterobacteria phage mEpX1, and Enterobacteria phage mEpX2; whereas less abundant species included #Lactococcus phages ul36 and Streptococcus phage Abc2.
[1.18 ] Streptococcus is the most abundant genus in mucosal tissue, representing 44–55% of the detected genera, which can also be found in other specimens such as plaque and saliva.
[1.19 ] #Firmicutes genera are #Listeria , #Paenibacillus , #Staphylococcus , Streptococcus , #Pediococcus , and #Leuconostoc .
- In healthy human stomach, the genera Streptococcus , #Prevotella , #Veillonella , #Rothia , and #Haemophilus were found to be predominant.
[#Candida albicans , #Streptococcus mutans ] - The presence of C. albicans would increase the abundance of Streptococcus (particularly S. mutans), certain #Lactobacillus species, and salivary #Veillonella and #Prevotella , and also increase the cariogenic virulence of biofilms
[1.21 ] [#Cancer , #Melanoma ] #Immune checkpoint inhibitor (ICI)-favorable response was characterized by an intestinal microbiome rich in bacteria such as #Oscillospira sp., #Clostridia UCG-014, #Lachnospiraceae UCG-010 sp., #Prevotella copri , and a decrease in #Sutterella sp., #Lactobacillales , and Streptococcus sp.
- Patients who developed immune-related adverse events (irAEs) had an overall increased microbial diversity and richness, and a stool microbiome depleted in #Agathobacter .
[1.22 ] [#Rothia aeria , #Rothia dentocariosa , #Rothia mucilaginosa ] #Bacteria (#Neisseria spp. and Streptococcus spp.), alongside with the potentially pathogenic #Actinomyces spp. and three different #Rothia species, identified simultaneously: R. aeria, R. dentocariosa, and R. mucilaginosa. >
- Although quadrupled dose of corticoids was discontinued and ulcer healing was observed, the patients required topical therapy for maintained xerostomia.
- Progressive systemic autoimmunity (seronegative Sjögren’s syndrome with major organ involvement) was observed later.
[1.23 ] [#CVD ] #Tryptophan metabolite #Indole #Propionate , a metabolite that has been found inversely associated with atherosclerotic coronary disease in humans and reduced progression of #Atherosclerosis in mice.
[#Atherosclerosis ] - The Streptococcus genus was associated with coronary artery calcium score (CACS)
[#Atherosclerosis ] - genes related to anaerobic fermentation of fatty acids were associated with CACS-associated species
[#Atherosclerosis ] - oral bacteria such as #Veillonella spp and Streptococcus spp found in the oral cavity, fecal samples, and carotid atherosclerotic plaque.9 Given the association between dental health and endothelial dysfunction and atherosclerotic disease,
[#Atherosclerosis ] - issimilatory #Nitrate reduction > CACS-associated species > converts #Nitrate to #Ammonia , and having an increased activity of this pathway in the colon could potentially inhibit the potential positive cardiovascular effects of #Nitrate .
[#Atherosclerosis ] [#Smoking ] - Several tobacco metabolites (ie, 3-hydroxycotinine glucuronide, cotinine N-oxide, and norcotinine) were positively associated with species positively associated with CACS and negatively associated with species negatively associated withcoronary artery calcium score (CACS).
[1.24 ] [#Systemic lupus erythematosus ] Streptococcus was associated with the lupus activity
[1.25 ] #Bifidobacterium and #Eggerthella in #Infants who succeeded on at least one of the point and gaze subtests, while having a lower abundance of #Hungatella and Streptococcus .
[1.26 ] #Lactococcus and Streptococcus possess a complete pathway for the de novo #Folate biosynthesis and do not require a supply of either DHPPP or pABA
[1.27 ] Streptococcus and #Enterococcus produce #Serotonin
[1.28 ] #Lactobacillus , #Lactococcus , #Bifidobacterium , Streptococcus , #Leuconostoc , and #Pediococcus produce #Lactic acid
[#Cancer ] [#Alcohol Consumption ] - Genus #Neisseria had extremely high ADH activity and produced significant amounts of #Acetaldehyde in vitro.
- #Neisseria ’s ability to produce #Acetaldehyde was more than 100-fold higher than that produced by Streptococcus sp., Stomatococcus sp., or #Moraxella sp.
- #Neisseria can be a regional source of carcinogenic #Acetaldehyde and may thus play an essential role in alcohol-related carcinogenesis in humans
[#Oral squamous cell carcinoma ] - specific bacteria have been identified that correlate strongly with Oral squamous cell carcinomas (OSCCs), such as Streptococcus sp., #Peptostreptococcus sp., #Prevotella sp., #Porphyromonas gingivalis , and #Capnocytophaga gingivalis
[#Oral squamous cell carcinoma ] - most often observed oral bacteria in OSCCs are Streptococcus sp., #Peptostreptococcus sp., #Prevotella sp., #Porphyromonas gingivalis , and #Capnocytophaga gingivalis
[#Oral squamous cell carcinoma ] - OSCC tumor sites are highl associated with the following species: Streptococcus sp., #Peptostreptococcus stomatis , #Gemella sp., and #Johnsonella ignava
[1.29 ] #Celiac Disease showed the abundance of Streptococcus , #Lactobacillus , #Veillonella , and #Allisonella species, while the abundance of #Ruminococcus , #Faecalibacterium , #Blautia , #Gemmiger , and #Anaerostipes was decreased.
[#Parkinson’s Disease ] - The increase of Streptococcus species, which can sometimes cause permanent neurological damage by secreting neurotoxins, has been associated with immuno-inflammatory pathways in PD.
- Streptococcus species are higher in stool samples of PD patients
[1.31 ] [#Genome ] #Bifidobacterium and #Lactobacillus , our study found a significant enrichment of Streptococcus , a #Lactic acid -producing bacteria, in patients with #Ulcerative Colitis (UC).
- This is in contrast to the majority of earlier studies from west.
- This increase in Streptococcus abundance has also been observed in UC patients from different populations.
[1.32 ] [#Gastric bypass surgery ] #Firmicutes and #Actinobacteria and lower levels of #Verrucomicrobia
- #Faecalibacterium and #Bifidobacterium showed a decrease after surgery and aerotolerant Streptococcus was increased postoperatively.
- The relative abundance of #Proteobacteria was increased after surgery.
- Changes in fungal microbiota composition included decreases in #Candida and #Saccharomyces and increases in #Pichia .
- levels of #Verrucomicrobia and #Proteobacteria increased after the surgery procedure
- Bifidobacteriaceae abundance decreased, whereas Streptococcaceae and Enterobacteriaceae increased after surgery.
- RYGB led to increased #Firmicutes and #Actinobacteria phyla but decreased #Bacteroidetes phylum
[1.33 ] #Staphylococcus and Streptococcus species, #Corynebacterium species may serve as novel pathogenic candidate microbes for #Vasculitis .
[1.34 ] #TMAO in cystic fluid were positively correlated with bacterial clusters corresponding to Enterobacteriacea, #Granulicatella , #Klebsiella , #Stenotrophomonas , Streptococcus , #Haemophilus , and #Fusobacterium > associated with #Pancreatic Cancer .
[1.35 ] #Primary biliary cirrhosis were found to show enrichment of #Actinobacteria , #Lactobacillales , Streptococcus , #Klebsiella and #Veillonella
[#Primary immune thrombocytopenia ] - fecal bacteria such as #Actinomycetaceae , #Blautia , Streptococcus , and #Lactobacillus are enriched, whereas bacteria such as #Bacteroides are depleted in ITP patients.
[#Primary immune thrombocytopenia ] [#Streptococcus anginosus , #Streptococcus parasanguinis , #Streptococcus salivarius ] - #Lactobacillus and Streptococcus (including S. anginosus, Streptococcus sp., S. parasanguinis, and S. salivarius) were enriched in ITP patients.
[1.36 ] [#Skin aging ] [#Streptococcus infantis , #Streptococcus pneumoniae ] [#Aging ] Streptococcus compared to older Korean women.
- These Streptococcus species, specifically Streptococcus (St.) pneumoniae and St. infantis, can secrete substances that up-regulate #Collagen synthesis.
[1.37 ] [#Natural oral microbiomes ] [#Infants ] #Adult oral microbiome, the infant oral microbiome is dominated by Streptococcus
[1.38 ] #Prevotella , #Veillonella , and Streptococcus
Intervention in Disease
Author: MetaBiomIdentifier: 10000167URL: https://www.metabiom.org/microbiota/66/streptococcusKeywords: Microbiome, Dysbiosis, Microbiota, Organism, Bacteria
Common References
[1.1 ] Fecal Streptococcus Alteration Is Associated with Gastric Cancer Occurrence and Liver Metastasis 80002252 ]
[1.2 ] Intestinal permeability, microbial translocation, changes in duodenal and fecal microbiota, and their associations with alcoholic liver disease progression in humans 80002255 ]
[1.3 ] Gut Microbiome and Organ Fibrosis 80002265 ]
[1.4 ] Alterations of the Gut Microbiota in Response to Total Sleep Deprivation and Recovery Sleep in Rats 80002274 ]
[1.5 ] Role of the gut microbiota in the development of various neurological diseases 80002479 ]
[1.6 ] The double-edged sword of probiotic supplementation on gut microbiota structure in <i>Helicobacter pylori</i> management 80002569 ]
[1.7 ] The oral microbiome and lung cancer risk: An analysis of 3 prospective cohort studies 80002570 ]
[1.8 ] Temporospatial shifts in the human gut microbiome and metabolome after gastric bypass surgery 80002685 ]
[1.9 ] Gut microbiota and microbiota-derived metabolites promotes endometriosis 80002723 ]
[1.10 ] Advances in the oral microbiota and rapid detection of oral infectious diseases 80002747 ]
[1.11 ] The skin microbiome in the first year of life and its association with atopic dermatitis 80002801 ]
[1.12 ] Microbiota–gut–brain axis mechanisms in the complex network of bipolar disorders: potential clinical implications and translational opportunities 80002837 ]
[1.13 ] The role of human milk fats in shaping neonatal development and the early life gut microbiota 80002843 ]
[1.14 ] Comparative in-silico analysis of microbial dysbiosis discern potential metabolic link in neurodegenerative diseases 80002870 ]
[1.15 ] Regulatory effects of oral microbe on intestinal microbiota and the illness 80002875 ]
[1.16 ] The emerging role of the small intestinal microbiota in human health and disease 80002887 ]
[1.17 ] Viral dysbiosis in children with new-onset celiac disease 80002975 ]
[1.18 ] From Pathogenesis to Intervention: The Importance of the Microbiome in Oral Mucositis 80002983 ]
[1.19 ] Gut Microbiome–Brain Alliance: A Landscape View into Mental and Gastrointestinal Health and Disorders 80003039 ]
[1.20 ] High-Throughput Sequencing of Oral Microbiota in Candida Carriage Sjögren’s Syndrome Patients: A Pilot Cross-Sectional Study 80003046 ]
[1.21 ] Assessing the Performance of a Novel Stool-Based Microbiome Test That Predicts Response to First Line Immune Checkpoint Inhibitors in Multiple Cancer Types 80003055 ]
[1.22 ] Microbiome Analysis and Pharmacovigilance After Inhaled Glucocorticoid: Oral Dysbiosis With the Isolation of Three Rothia Species and Subsequent Sjögren’s Syndrome 80003121 ]
[1.23 ] Streptococcus Species Abundance in the Gut Is Linked to Subclinical Coronary Atherosclerosis in 8973 Participants From the SCAPIS Cohort80003123 ]
[1.24 ] Gut microbiota: a newly identified environmental factor in systemic lupus erythematosus 80003157 ]
[1.25 ] Babies, bugs and brains: How the early microbiome associates with infant brain and behavior development 80003225 ]
[1.26 ] B Vitamins and Their Roles in Gut Health 80003304 ]
[1.27 ] Psychobiotics and fecal microbial transplantation for autism and attention-deficit/hyperactivity disorder: microbiome modulation and therapeutic mechanisms 80003318 ]
[1.28 ] Role of Oral Microbiota in Cancer Development 80003331 ]
[1.29 ] Microbiome Metabolites in Health and Disease 80003332 ]
[1.30 ] Parkinson’s disease alters the composition of subgingival microbiome 80003333 ]
[1.31 ] Enrichment of Lactic Acid-Producing Bacteria in the Fecal Microbiota of Patients with Ulcerative Colitis in North India 80003339 ]
[1.32 ] Erratum: Alterations of gut microbiome following gastrointestinal surgical procedures and their potential complications 80003367 ]
[1.33 ] Alteration of microbial composition in the skin and blood in vasculitis 80003438 ]
[1.34 ] A blood-based metabolomic signature predictive of risk for pancreatic cancer 80003462 ]
[1.35 ] Gut Microbiome and Metabolome Were Altered and Strongly Associated With Platelet Count in Adult Patients With Primary Immune Thrombocytopenia 80003463 ]
[1.36 ] Skin microbiome attributes associate with biophysical skin aging 80003473 ]
[1.37 ] Impact of breastfeeding and other early-life factors on the development of the oral microbiome 80003494 ]
[1.38 ] Oral Microbiota: The Influences and Interactions of Saliva, IgA, and Dietary Factors in Health and Disease 80003499 ]
[1.39 ] Alterations in the gut microbiota of patients with acquired immune deficiency syndrome 80000714 ]
[1.40 ] A complete guide to human microbiomes: Body niches, transmission, development, dysbiosis, and restoration 80002487 ]
[1.41 ] Molecular diagnosis of vaginitis: comparing quantitative PCR and microbiome profiling approaches to current microscopy scoring 80001177 ]
[1.42 ] Characterization of intestinal microbiota in alcoholic patients with and without alcoholic hepatitis or chronic alcoholic pancreatitis 80000689 ]
[1.43 ] Gut microbiota compositional and functional fingerprint in patients with alcohol use disorder and alcohol-associated liver disease 80001386 ]
[1.44 ] Mild cognitive impairment has similar alterations as Alzheimer’s disease in gut microbiota 80001081 ]
[1.45 ] Fecal microbiota in patients with ankylosing spondylitis: correlation with dietary factors and disease activity 80001054 ]
[1.46 ] Alterations in the human gut microbiome in anti-N-methyl-D-aspartate receptor encephalitis 80001157 ]
[1.47 ] Sex-specific associations of infants’ gut microbiome with arsenic exposure in a US population 80000820 ]
[1.48 ] The infant airway microbiome in health and disease impacts later asthma development 80000735 ]
[1.49 ] The gut microbiome in atherosclerotic cardiovascular disease 80000614 ]
[1.50 ] Skin microbiome differences in atopic dermatitis and healthy controls in Egyptian children and adults, and association with serum immunoglobulin E 80001201 ]
[1.51 ] Imbalance of gut Streptococcus , Clostridium, and Akkermansia determines the natural course of atopic dermatitis 80001343 ]
[1.52 ] Associations between infant fungal and bacterial dysbiosis and childhood atopic wheeze in a nonindustrialized setting 80000733 ]
[1.53 ] Alterations of oral microbiota distinguish children with autism spectrum disorders from healthy controls 80000691 ]
[1.54 ] Alterations of gut microbiome in autoimmune hepatitis 80001159 ]
[1.55 ] Molecular analysis of the diversity of vaginal microbiota associated with bacterial vaginosis 80000481 ]
[1.56 ] Relative abundance of Megamonas hypermegale and Butyrivibrio species decreased in the intestine and its possible association with the T cell aberration by metabolite alteration in patients witch Behcet’s disease 80001223 ]
[1.57 ] Gut microbial profile in biliary atresia: a case-control study 80001225 ]
[1.58 ] Pyrosequencing analysis of oral microbiota in children with severe early childhood dental caries 80000436 ]
[1.59 ] Metagenomic investigation of bacteria associated with dental lesions: a cross-sectional study 80001389 ]
[1.60 ] Salivary microbiota in individuals with different levels of caries experience 80000452 ]
[1.61 ] Plaque bacterial microbiome diversity in children younger than 30 months with or without caries prior to eruption of second primary molars 80000314 ]
[1.62 ] Oral microbiome shifts from caries-free to caries-affected status in 3-year-old Chinese children: a longitudinal study 80000847 ]
[1.63 ] The fecal, oral, and skin microbiota of children with Chagas disease treated with benznidazole 80001023 ]
[1.64 ] Alterations of gut microbiota in cholestatic infants and their correlation with hepatic function 80000981 ]
[1.65 ] The Gut Microbiome in Myalgic Encephalomyelitis (ME)/Chronic Fatigue Syndrome (CFS) 80002273 ]
[1.66 ] Dysbiosis of the gut microbiome is associated with CKD5 and correlated with clinical indices of the disease: a case-controlled study 80001101 ]
[1.67 ] The human laryngeal microbiome: effects of cigarette smoke and reflux 80000508 ]
[1.68 ] The lung microbiome in moderate and severe chronic obstructive pulmonary disease. 80000385 ]
[1.69 ] Evidence of Microbiota Dysbiosis in Chronic Rhinosinusitis 80000510 ]
[1.70 ] Alterations of Bacteroides sp., Neisseria sp., Actinomyces sp., and Streptococcus sp. populations in the oropharyngeal microbiome are associated with liver cirrhosis and pneumonia. 80000609 ]
[1.71 ] Hepatocellular carcinoma is associated with gut microbiota profile and inflammation in nonalcoholic fatty liver disease 80000791 ]
[1.72 ] Profiling of oral and nasal microbiome in children with cleft palate 80000929 ]
[1.73 ] Structural segregation of gut microbiota between colorectal cancer patients and healthy volunteers 80000715 ]
[1.74 ] Microbiota disbiosis is associated with colorectal cancer. 80000302 ]
[1.75 ] Bacterial but not fungal gut microbiota alterations are associated with common variable immunodeficiency (CVID) phenotype 80001137 ]
[1.76 ] The conjunctival microbiome in health and trachomatous disease: a case control study. 80000391 ]
[1.77 ] Alterations in the gut microbiome and metabolism with coronary artery disease severity_DUBLICATE 80001002 ]
[1.78 ] Alterations of the gut microbiota in patients with COVID-19 or H1N1 Influenza 80001419 ]
[1.79 ] Characteristics of fecal and mucosa-associated microbiota in Chinese patients with inflammatory bowel disease 80000665 ]
[1.80 ] Comparison of oropharyngeal microbiota from children with asthma and cystic fibrosis 80000734 ]
[1.81 ] Gut microbiota differs in composition and functionality between children with type 1 diabetes and MODY2 and healthy control subjects: a case-control study 80000812 ]
[1.82 ] Duodenal mucosa of patients with type 1 diabetes shows distinctive inflammatory profile and microbiota 80000520 ]
[1.83 ] The oral microbiome profile and biomarker in Chinese type 2 diabetes mellitus patients 80001313 ]
[1.84 ] Implication of the gut microbiome composition of type 2 diabetic patients from northern China 80001348 ]
[1.85 ] Dysbiosis of urinary microbiota is positively correlated with type 2 diabetes mellitus 80000429 ]
[1.86 ] Molecular detection of microbial colonization in cervical mucus of women with and without endometriosis 80001113 ]
[1.87 ] The endobiota study: comparison of vaginal, cervical and gut microbiota between women with stage 3/4 endometriosis and healthy controls 80000951 ]
[1.88 ] An international report on bacterial communities in esophageal squamous cell carcinoma 80002495 ]
[1.89 ] Intestinal microbiota is altered in patients with gastric cancer from Shanxi Province, China 80001028 ]
[1.90 ] Alterations of gut microbiota and blood lipidome in gestational diabetes mellitus with hyperlipidemia 80001152 ]
[1.91 ] Preliminary characterization of the oral microbiota of Chinese adults with and without gingivitis 80000536 ]
[1.92 ] The gut microbiota of hand, foot and mouth disease patients demonstrates down-regulated butyrate-producing bacteria and up-regulated inflammation-inducing bacteria 80000902 ]
[1.93 ] Metagenomic and metabolomic analyses unveil dysbiosis of gut microbiota in chronic heart failure patients 80000686 ]
[1.94 ] Featured gut microbiomes associated with the progression of chronic hepatitis B disease 80001369 ]
[1.95 ] Intestinal microbiota in patients with chronic hepatitis C with and without cirrhosis compared with healthy controls 80000712 ]
[1.96 ] The palatine tonsil bacteriome, but not the mycobiome, is altered in HIV infection 80001098 ]
[1.97 ] Effects of HIV viremia on the gastrointestinal microbiome of young MSM 80000959 ]
[1.98 ] Alterations of the gut microbiome in hypertension 80000630 ]
[1.99 ] The role of bacteria in the pathogenesis and progression of idiopathic pulmonary fibrosis. 80000533 ]
[1.100 ] Distinct nasopharyngeal and oropharyngeal microbiota of children with influenza A virus compared with healthy children 80000961 ]
[1.101 ] Change of the duodenal mucosa-associated microbiota is related to intestinal metaplasia 80001242 ]
[1.102 ] Nasopharyngeal microbiota in children with invasive pneumococcal disease: identification of bacteria with potential disease-promoting and protective effects 80000985 ]
[1.103 ] Molecular characterization of the intestinal microbiota in patients with and without abdominal bloating 80000352 ]
[1.104 ] Lung tissue microbial profile in lung cancer is distinct from emphysema 80000832 ]
[1.105 ] Local oral and nasal microbiome diversity in age-related macular degeneration 80001340 ]
[1.106 ] Human pharyngeal microbiota in age-related macular degeneration 80000882 ]
[1.107 ] Age-specific differential changes on gut microbiota composition in patients with major depressive disorder 80001345 ]
[1.108 ] A comparative study of the gut microbiota in immune-mediated inflammatory diseases - does a common dysbiosis exist? 80000942 ]
[1.109 ] Altered gut microbiota in myasthenia gravis 80000850 ]
[1.110 ] Lack of short-chain fatty acids and overgrowth of opportunistic pathogens define dysbiosis of neuromyelitis optica spectrum disorders: a Chinese pilot study 80001156 ]
[1.111 ] Dysbiosis gut microbiota associated with inflammation and impaired mucosal immune function in intestine of humans with non-alcoholic fatty liver disease 80000572 ]
[1.112 ] Severe obstructive sleep apnea is associated with alterations in the nasal microbiome and an increase in inflammation 80001035 ]
[1.113 ] The microflora associated with human oral carcinomas 80000771 ]
[1.114 ] Microbial diversity in saliva of oral squamous cell carcinoma 80000786 ]
[1.115 ] Detection and characterization of bacterial nucleic acids in culture-negative synovial tissue and fluid samples from rheumatoid arthritis or osteoarthritis patients 80000825 ]
[1.116 ] A microbiome case-control study of recurrent acute otitis media identified potentially protective bacterial genera 80000688 ]
[1.117 ] Structural changes of gut microbiota in Parkinson’s disease and its correlation with clinical features. 80000601 ]
[1.118 ] Inflammatory microbes and genes as potential biomarkers of Parkinson’s disease 80002678 ]
[1.119 ] Characterization of pelvic and cervical microbiotas from patients with pelvic inflammatory disease 80000794 ]
[1.120 ] Posttraumatic stress disorder is associated with altered gut microbiota that modulates cognitive performance in veterans with cirrhosis 80001243 ]
[1.121 ] Distinct microbiome in pouchitis compared to healthy pouches in ulcerative colitis and familial adenomatous polyposis. 80000242 ]
[1.122 ] Aberrant intestinal microbiota in individuals with prediabetes 80000677 ]
[1.123 ] The Evolving Microbiome from Pregnancy to Early Infancy: A Comprehensive Review 80001484 ]
[1.124 ] Airway microbiome in adult survivors of extremely preterm birth: the EPICure study 80000957 ]
[1.125 ] Gut microbial profile is altered in primary biliary cholangitis and partially restored after UDCA therapy 80000594 ]
[1.126 ] Alterations and correlations of the gut microbiome, metabolism and immunity in patients with primary biliary cirrhosis 80000583 ]
[1.127 ] A pilot study to evaluate the oral microbiome and dental health in primary open-angle glaucoma. 80000412 ]
[1.128 ] A pilot study of fecal bile acid and microbiota profiles in inflammatory bowel disease and primary sclerosing cholangitis 80000964 ]
[1.129 ] Primary sclerosing cholangitis is characterised by intestinal dysbiosis independent from IBD 80000513 ]
[1.130 ] Substantial alterations of the cutaneous bacterial biota in psoriatic lesions. 80000247 ]
[1.131 ] Comparison of bacterial microbiota in skin biopsies from normal and psoriatic skin. 80000365 ]
[1.132 ] Alternation of gut microbiota in patients with pulmonary tuberculosis 80000851 ]
[1.133 ] Alteration of vaginal microbiota in patients with unexplained recurrent miscarriage 80000972 ]
[1.134 ] Variations in oral microbiome profiles in rheumatoid arthritis and osteoarthritis with potential biomarkers for arthritis screening 80000809 ]
[1.135 ] Subgingival microbiome of rheumatoid arthritis patients in relation to their disease status and periodontal health 80000881 ]
[1.136 ] Alterations of gut microbiome in the patients with severe fever with thrombocytopenia syndrome 80000848 ]
[1.137 ] The fecal microbiome in pediatric patients with short bowel syndrome. 80000244 ]
[1.138 ] Microbiological and bioinformatics analysis of primary Sjögren’s syndrome patients with normal salivation 80000871 ]
[1.139 ] Connection between the Gut Microbiome, Systemic Inflammation, Gut Permeability and FOXP3 Expression in Patients with Primary Sjögren’s Syndrome 80001479 ]
[1.140 ] Altered mucosal microbiome diversity and disease severity in Sjögren Syndrome 80000347 ]
[1.141 ] Gut Microbial Dysbiosis in the Pathogenesis of Gastrointestinal Dysmotility and Metabolic Disorders 80001733 ]
[1.142 ] Cigarette smoking and the oral microbiome in a large study of American adults 80000996 ]
[1.143 ] Salivary microbiome and cigarette smoking: a first of its kind investigation in Jordan 80001280 ]
[1.144 ] Influence of cigarette smoking on the human duodenual mucosa-associated microbiota 80000816 ]
[1.145 ] Comparison of the ocular microbiome between chronic Stevens-Johnson syndrome patients and healthy subjects 80001339 ]
[1.146 ] Alterations in the gut microbiota and metabolite profiles of thyroid carcinoma patients 80000975 ]
[1.147 ] Bacteriome and mycobiome associations in oral tongue cancer 80001010 ]
[1.148 ] Dysbiosis in the gut bacterial microbiome of patients with Uveitis, an inflammatory disease of the eye 80000796 ]
[1.149 ] Diversity of endocervical microbiota associated with genital Chlamydia trachomatis infection and infertility among women visiting obstetrics and gynecology clinics in Malaysia 80001294 ]
[1.150 ] The bacterial microbiome in paired vaginal and vestibular samples from women with vulvar vestibulitis syndrome 80000653 ]
[1.151 ] Subgingival microbiota in health compared to periodontitis and the influence of smoking 80000406 ]
[1.152 ] Gut Dysbiosis in Patients with Anorexia Nervosa. 80000552 ]
[1.153 ] Dysbiosis of saliva microbiome in patients with oral lichen planus 80001332 ]
[1.154 ] Microbial communities in the upper respiratory tract of patients with asthma and chronic obstructive pulmonary disease. 80000380 ]
[1.155 ] Bacterial salivary microbiome associates with asthma among african american children and young adults 80001130 ]
[1.156 ] Alterations in the skin microbiome are associated with disease severity and treatment in the perioral zone of the skin of infants with atopic dermatitis_DUBLICATE 80001234 ]
[1.157 ] Differences in fecal microbial metabolites and microbiota of children with autism spectrum disorders 80000798 ]
[1.158 ] Analysis of gut microbiota profiles and microbe-disease associations in children with austism spectrum disorders in China 80000826 ]
[1.159 ] Dysbiosis of oral microbiota and its association with salivary immunological biomarkers in autoimmune liver disease 80000792 ]
[1.160 ] Inflammation and intestinal metaplasia of the distal esophagus are associated with alterations in the microbiome 80000539 ]
[1.161 ] Urinary microbiota - a potential biomarker and therapeutic target for bladder cancer 80001050 ]
[1.162 ] Profiling the salivary microbiome of the Qatari population 80001335 ]
[1.163 ] Oral microbiome signatures in diabetes mellitus and periodontal disease 80001350 ]
[1.164 ] The microbiota of breast tissue and its association with breast cancer 80000898 ]
[1.165 ] Dynamic alterations in Salivary microbiota related to dental caries and age in preschool children with deciduous dentition: a 2-year follow-up study 80000774 ]
[1.166 ] Isolation and quantification of uremic toxin precursor-generating gut bacteria in chronic kidney disease patients 80001379 ]
[1.167 ] Lung microbiome dynamics in COPD exacerbations 80000487 ]
[1.168 ] The oral microbiota in colorectal cancer is distinctive and predictive 80000657 ]
[1.169 ] Dysbiosis signature of fecal microbiota in colorectal cancer patients. 80000296 ]
[1.170 ] Increased rectal microbial richness is associated with the presence of colorectal adenomas in humans. 80000304 ]
[1.171 ] Dynamic changes of gut and lung microorganisms during chronic obstructive pulmonary disease exacerbations 80001387 ]
[1.172 ] The intestinal microbiota associated with cardiac valve calcification differs from that of coronary artery disease 80000915 ]
[1.173 ] Dysbiosis of salivary microbiota in inflammatory bowel disease and its association with oral immunological biomarkers 80000489 ]
[1.174 ] Cutaneous burn injury modulates urinary antimicrobial peptide responses and the urinary microbiome 80000424 ]
[1.175 ] Respiratory mycobiome and suggestion of inter-kingdom network during acute pulmonary exacerbation in cystic fibrosis 80001338 ]
[1.176 ] Quantitation and Composition of Cutaneous Microbiota in Diabetic and Nondiabetic Men 80000458 ]
[1.177 ] The salivary microbiome is altered in children with eosinophilic esophagitis and correlates with disease activity 80001126 ]
[1.178 ] Gastric microbial community profiling reveals a dysbiotic cancer-associated microbiota 80000711 ]
[1.179 ] The tongue microbiome in healthy subjects and patients with intra-oral halitosis 80001030 ]
[1.180 ] Helicobacter pylori infection is associated with an altered gastric microbiota in children 80000582 ]
[1.181 ] Deep sequencing reveals microbiota dysbiosis of tongue coat in patients with liver carcinoma 80001032 ]
[1.182 ] Altered immunity and microbial dysbiosis in aged individuals with long-term controlled HIV infection 80000974 ]
[1.183 ] Altered gut microbiota composition associated with eczema in infants 80000741 ]
[1.184 ] Alterations of microbiota in urine from women with interstitial cystitis 80000409 ]
[1.185 ] Structural alterations of faecal and mucosa-associated bacterial communities in irritable bowel syndrome 80000629 ]
[1.186 ] Microbiota in the Throat and Risk Factors for Laryngeal Carcinoma 80000553 ]
[1.187 ] The composition of microbiome in larynx and the throat biodiversity between laryngeal squamous cell carcinoma patients and control population. 80000246 ]
[1.188 ] Dysbiosis of the salivary microbiome is associated with non-smoking female lung cancer and correlated with immunocytochemistry markers 80000987 ]
[1.189 ] Specific gut microbiome signature predicts the early-stage lung cancer 80001413 ]
[1.190 ] Characterization of the salivary microbiome in people with obesity 80000736 ]
[1.191 ] Changes in abundance of oral microbiota associated with oral cancer 80000522 ]
[1.192 ] Dysbiosis of oral buccal mucosa microbiota in patients with oral lichen planus 80001397 ]
[1.193 ] Preliminary analysis of salivary microbiome and their potential roles in oral lichen planus 80000397 ]
[1.194 ] Comparative analysis of microbiome in nasopharynx and middle ear in young children with acute otitis media 80001281 ]
[1.195 ] Gut microbiota in patients with Parkinson’s disease in southern China 80000788 ]
[1.196 ] Deep sequencing of the oral microbiome reveals signatures of periodontal disease 80001205 ]
[1.197 ] Alveolar microbiota profile in patients with human pulmonary tuberculosis and interstitial pneumonia 80001312 ]
[1.198 ] Ecological shifts of supragingival microbiota in association with pregnancy 80000702 ]
[1.199 ] Dysbiosis of gut microbiota was closely associated with psoriasis 80001218 ]
[1.200 ] Altered gut microbiota in Rett syndrome 80000534 ]
[1.201 ] Molecular characterization of circulating microbiome signatures in rheumatoid arthritis 80001275 ]
[1.202 ] Oral microbial flora of patients with Sicca syndrome 80001007 ]
[1.203 ] Smoking habit modulates peri-implant microbiome: a case-control study 80001015 ]
[1.204 ] Cigarette smoking modulation of saliva microbial composition and cytokine levels 80000857 ]
[1.205 ] Dysbiosis of the salivary microbiota in pediatric-onset primary sclerosing cholangitis and its potential as a biomarker 80000746 ]
[1.206 ] A pyrosequencing study in twins shows that gastrointestinal microbial profiles vary with inflammatory bowel disease phenotypes 80000284 ]
[1.207 ] Chronic cannabis smoking-enriched oral pathobiont drives behavioral changes, macrophage infiltration, and increases β-amyloid protein production in the brain 80002130 ]
[1.208 ] Long-term daily high-protein, drained yoghurt consumption alters abundance of selected functional groups of the human gut microbiota and fecal short-chain fatty acid profiles in a cohort of overweight and obese women 80002459 ]
[1.209 ] Diet, obesity, and the gut microbiome as determinants modulating metabolic outcomes in a non-human primate model 80001840 ]
[1.210 ] Separating the Empirical Wheat From the Pseudoscientific Chaff: A Critical Review of the Literature Surrounding Glyphosate, Dysbiosis and Wheat-Sensitivity 80001476 ]
[1.211 ] The Contribution of Gut Microbiota–Brain Axis in the Development of Brain Disorders 80001732 ]
