scholarly journals Esophageal Acid Clearance During Random Swallowing Is Faster in Patients with Barrett‘s Esophagus Than in Healthy Controls

2016 ◽  
Vol 22 (4) ◽  
pp. 630-642 ◽  
Author(s):  
Christian Lottrup ◽  
Anne L Krarup ◽  
Hans Gregersen ◽  
Per Ejstrud ◽  
Asbjørn M Drewes
Keyword(s):  
Barrett’S Esophagus ◽  
Barrett's Esophagus ◽  
Healthy Controls ◽  
Acid Clearance ◽  
Esophageal Acid Clearance

Esophageal acid clearance during sleep in patients with Barrett's esophagus

1988 ◽  
Vol 33 (6) ◽  
pp. 654-659 ◽  
Author(s):  
William C. Orr ◽  
Charles Lackey ◽  
Malcolm G. Robinson ◽  
Lawrence F. Johnson ◽  
Jack D. Welsh
Keyword(s):  
Barrett’S Esophagus ◽  
Barrett's Esophagus ◽  
Acid Clearance ◽  
Esophageal Acid Clearance

Patients with Barrett's esophagus are hypersensitive to acid but hyposensitive to other stimuli compared with healthy controls

2016 ◽  
Vol 29 (4) ◽  
pp. e12992 ◽  
Author(s):  
C. Lottrup ◽  
A. L. Krarup ◽  
H. Gregersen ◽  
P. Ejstrud ◽  
A. M. Drewes
Keyword(s):  
Barrett’S Esophagus ◽  
Barrett's Esophagus ◽  
Healthy Controls

The urinary metabolomic signature of Barrett's esophagus.

2012 ◽  
Vol 30 (4_suppl) ◽  
pp. 36-36
Author(s):  
Vanessa Wylie Davis ◽  
Dan E. Schiller ◽  
Michael B. Sawyer
Keyword(s):  
Healthy Volunteers ◽  
Barrett’S Esophagus ◽  
Barrett's Esophagus ◽  
Goodness Of Fit ◽  
Principal Component ◽  
Urinary Metabolites ◽  
Model Parameters ◽  
Healthy Controls ◽  
Data Set ◽  
Screening And Surveillance

36 Background: Current screening and surveillance strategies for Barrett’s esophagus are inadequate. More reliable tools are needed. A unique urinary metabolomic signature could fill this niche. We applied metabolomic techniques to identify urinary metabolites capable of facilitating in the diagnosis of Barrett’s esophagus. Methods: Urine samples from patients with histologically confirmed Barrett’s esophagus (n=32) and normal, healthy volunteers (n=25) were collected and examined using 1H-NMR spectroscopy. Targeted profiling of spectra using Chenomx NMR Suite 7.0 software permitted the detection and quantification of 66 distinct metabolites. Unsupervised (principal component analysis, PCA) and supervised (partial-least squares discriminant analysis, PLS-DA) multivariate pattern recognition techniques were applied to discriminate between sample spectra of patients with Barrett’s esophagus and healthy volunteers using SIMCA-P (version 11, Umetrics, Umeå, Sweden). Results: Significant differences were found when comparing the concentrations of 59 metabolites in the urine of healthy volunteers and patients with Barrett’s esophagus. Those metabolites contributing the most class discriminating information included 3-hydoxybutyrate, adipate and choline. Clear distinction between patients with Barrett’s esophagus and healthy controls was noted when PLS-DA was applied to the data set. Model parameters for both the goodness of fit R2, and the predictive capability Q2, were high (R2 = 0.96; Q2 = 0.90). Model validity was tested using response permutation and results were suggestive of excellent predictive power. Conclusions: Urinary metabolomics identified a discrete signature associated with Barrett’s esophagus compared to healthy controls. This profile has the potential to aid in diagnosis and the development of new therapeutic targets.

scholarly journals Mucosa-Associated Microbiota in Barrett's Esophagus, Dysplasia, and Esophageal Adenocarcinoma Differ Similarly Compared With Healthy Controls

2020 ◽  
Vol 11 (8) ◽  
pp. e00199
Author(s):  
Shajan Peter ◽  
Amanda Pendergraft ◽  
William VanDerPol ◽  
C. Mel Wilcox ◽  
Kondal R. Kyanam Kabir Baig ◽  
...  
Keyword(s):  
Barrett’S Esophagus ◽  
Esophageal Adenocarcinoma ◽  
Barrett's Esophagus ◽  
Healthy Controls

995 Proteomic Analysis Separates Barrett's Esophagus and Esophageal Adenocarcinoma from Healthy Controls By Distinct T Cell Populations

2008 ◽  
Vol 134 (4) ◽  
pp. A-149
Author(s):  
Uta Berndt ◽  
Sebastian Bartsch ◽  
Lars Philipsen ◽  
Bertram Wiedenmann ◽  
Marcus Haemmerle ◽  
...  
Keyword(s):  
T Cell ◽  
Barrett’S Esophagus ◽  
Esophageal Adenocarcinoma ◽  
Proteomic Analysis ◽  
Barrett's Esophagus ◽  
Cell Populations ◽  
Healthy Controls

Contribution of stromal and epithelial cells to cyclooxygenase-2 (COX-2) activity in Barrett's esophagus

2001 ◽  
Vol 120 (5) ◽  
pp. A78-A79
Author(s):  
N BUTTAR ◽  
K WANG ◽  
M ANDERSON ◽  
L LUTZKE ◽  
K KRISHNADATH
Keyword(s):  
Epithelial Cells ◽  
Barrett’S Esophagus ◽  
Barrett's Esophagus ◽  
Cyclooxygenase 2 ◽  
Cox 2

Length of Barrett's esophagus and risk of displasia in hispanics

2001 ◽  
Vol 120 (5) ◽  
pp. A418-A418
Author(s):  
N QUINONEZ ◽  
E RODRIGUEZ
Keyword(s):  
Barrett’S Esophagus ◽  
Barrett's Esophagus
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