Barrett's Esophagus is Associated with an Altered Oral Microbiome

Snider, Erik J.; Nobel, Yael R.; Compres, Griselda; Freedberg, Daniel E.; Toussaint, Nora C.; Abrams, Julian A.

doi:10.1016/s0016-5085(17)30691-1

Cited by 3 publications

(5 citation statements)

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“…As seen in patients with GERD, patients with BE have a distinct microbiome composition [47]. Type II microbiomes, as described earlier, are associated with progression of GERD to BE [48].…”

Section: Role Of the Microbiome In Bementioning

confidence: 64%

“…However, a recent study found a distinct oral microbiome that is associated with presence of BE. 47 This case-control study analyzed the oral microbiome using a three-taxon model, Lautropia, Streptococcus, and unspecified genus in the order of Bacteroidales and distinguished the microflora of patients with BE from healthy individuals. This model of clustering predicted patients with BE with a sensitivity of 97% and specificity of 88%.…”

Section: Role Of the Microbiome In Bementioning

confidence: 99%

“…This model of clustering predicted patients with BE with a sensitivity of 97% and specificity of 88%. 47 Larger investigations are needed to further evaluate the role of oral dysbiosis and diagnostic implications for BE as various environmental factors including diet can influence the oral microbiome and larger sample size is needed to isolate the predictive effect [52].…”

Section: Role Of the Microbiome In Bementioning

confidence: 99%

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Microbiome and gastroesophageal disease: Pathogenesis and implications for therapy

D’Souza¹,

Cundra²,

Yoo³

et al. 2020

Gastroenterol Hepatol Endosc

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There is growing evidence that gastroesophageal disease is significantly influenced by the microbiome of the esophagus. Additionally, the commensal microbiome of the oropharynx, stomach, and colon have a role in its pathogenesis. Changes to the composition of the normal esophageal flora, notably a transition from Grampositive to predominantly Gram-negative, is thought to promote disease susceptibility. Diseases of the esophagus, which include gastroesophageal reflux, Barrett's esophagus, esophageal cancer, esophageal dysmotility, as well as eosinophilic esophagitis. These are all characterized by an inflammatory-mediated cascade thought to be propagated, in part, potentially by an imbalance of commensal microbes.In addition to activation of the inflammatory cascade, potentiation of dysbiosis itself may be a consequence of dysbiotic changes in bacterial composition. Bacteriocins are inhibitory polypeptides produced by bacteria, which may play an integral role in further progression to dysbiotic states by inhibiting growth of commensal flora. Accordingly, this may present an avenue for disease mitigation by shifting the composition of the microbial community towards an eubiotic state.Therapeutic options targeting the microbiome, including prebiotics, probiotics, antibiotics, as well as bacteriocins have been studied. This review focuses on the current knowledge of the involvement of the microbiome in esophageal diseases (most notably GERD/Barrett's esophagus/esophageal cancer) and identifies emerging new concepts for treatment.

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“…As seen in patients with GERD, patients with BE have a distinct microbiome composition [47]. Type II microbiomes, as described earlier, are associated with progression of GERD to BE [48].…”

Section: Role Of the Microbiome In Bementioning

confidence: 64%

Section: Role Of the Microbiome In Bementioning

confidence: 99%

Section: Role Of the Microbiome In Bementioning

confidence: 99%

See 1 more Smart Citation

Microbiome and gastroesophageal disease: Pathogenesis and implications for therapy

D’Souza¹,

Cundra²,

Yoo³

et al. 2020

Gastroenterol Hepatol Endosc

View full text Add to dashboard Cite

show abstract

“…In the prediction of oral and oropharyngeal carcinoma, the AUC values predicted by seven biomarkers such as Rothia, Haemophilus and Capnocytophaga of oral microbiota could even reach 90%-100% [39]. In the prediction of Barrett's esophagus, the accuracy of using Lautropia, Streptococcus and Enterobacteriaceae was 94% [40]. Obviously, the markers mentioned in the above diseases were not exactly the same as the microbes used in this study for GDM classification, which ensures the specificity of our model.…”

Section: Discussionmentioning

confidence: 84%

Pregnant women with gestational diabetes mellitus exhibit unique features in oral microbiome

Zheng

Ma³

et al. 2019

Preprint

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Background: Gestational diabetes mellitus (GDM) leads to a series of adverse pregnancy outcomes, seriously endangering the health of mothers and infants. Oral glucose tolerance test (OGTT) is the gold standard test for GDM diagnosis, but largely increases the discomfort of pregnant women, and is inconvenient to follow-up and detection. Considering that oral sampling is convenient, rapid, safe and non-invasive, the feasibility of distinguishing GDM via biomarkers from oral microbiota was evaluated in this study. Here, the 16S rRNA gene sequencing was used to compare the microbiome of saliva and dental plaque samples of 111 pregnant women, and to analyze the structure of oral microbiota in patients with GDM as well as to find effective biomarkers. Results: The results showed that the microbiota of both types of oral samples in patients with GDM changed, and it was quite different from that of neither periodontitis nor dental caries. By using bacterial biomarkers from oral microbiota, GDM classification models based on SVM and random forest algorithms were constructed. For the SVM algorithm, the AUC value of the classification model constructed by the combination of dental plaque Lautropia , Neisseria and saliva Veillonella achieved 0.83. For the random forest algorithm, the maximum AUC value of the model constructed by the dental plaque Streptococcus , Eikenella , Anoxybacillus and saliva Leptotrichia , Kingella was larger than 0.90. Conclusions: These findings revealed that certain bacteria of either saliva or dental plaque can accurately distinguish GDM from healthy pregnant women, which provides a potential non-invasive approach for GDM diagnosis with oral microbial markers.

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Section: Discussionmentioning

confidence: 99%

Pregnant women with gestational diabetes mellitus exhibit unique features in oral microbiome

X¹,

Zheng²,

Ma³

et al. 2019

Preprint

View full text Add to dashboard Cite

Background Gestational diabetes mellitus (GDM) leads to a series of adverse pregnancy outcomes, seriously endangering the health of mothers and infants. Oral glucose tolerance test (OGTT) is the gold standard test for GDM diagnosis, but largely increases the discomfort of pregnant women, and is inconvenient to follow-up and detection. Considering that oral sampling is convenient, rapid, safe and non-invasive, the feasibility of distinguishing GDM via biomarkers from oral microbiota was evaluated in this study. Here, the 16S rRNA gene sequencing was used to compare the microbiome of saliva and dental plaque samples of 111 pregnant women, and to analyze the structure of oral microbiota in patients with GDM as well as to find effective biomarkers.Results The results showed that the microbiota of both types of oral samples in patients with GDM changed, and it was quite different from that of neither periodontitis nor dental caries. By using bacterial biomarkers from oral microbiota, GDM classification models based on SVM and random forest algorithms were constructed. For the SVM algorithm, the AUC value of the classification model constructed by the combination of dental plaque Lautropia, Neisseria and saliva Veillonella achieved 0.83. For the random forest algorithm, the maximum AUC value of the model constructed by the dental plaque Streptococcus, Eikenella, Anoxybacillus and saliva Leptotrichia, Kingella was larger than 0.90.Conclusions These findings revealed that certain bacteria of either saliva or dental plaque can accurately distinguish GDM from healthy pregnant women, which provides a potential non-invasive approach for GDM diagnosis with oral microbial markers.

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Barrett's Esophagus is Associated with an Altered Oral Microbiome

Cited by 3 publications

References 0 publications

Microbiome and gastroesophageal disease: Pathogenesis and implications for therapy

Microbiome and gastroesophageal disease: Pathogenesis and implications for therapy

Pregnant women with gestational diabetes mellitus exhibit unique features in oral microbiome

Pregnant women with gestational diabetes mellitus exhibit unique features in oral microbiome

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