The selective cyclooxygenase-2 inhibitor DFU does not suppress prostaglandin E2 formation in colonic mucosa of patients with active Crohn's disease

1998 ◽  
Vol 114 ◽  
pp. A988
Author(s):  
B. Gretzer ◽  
Th. Griga ◽  
L. Barbera ◽  
B.M. Peskar
Gut ◽  
1992 ◽  
Vol 33 (9) ◽  
pp. 1220-1225 ◽  
Author(s):  
I Sobhani ◽  
S Hochlaf ◽  
Y Denizot ◽  
C Vissuzaine ◽  
E Rene ◽  
...  

2013 ◽  
Vol 144 (5) ◽  
pp. S-825
Author(s):  
Franck Carbonero ◽  
Ann C. Benefiel ◽  
Jona Kristo ◽  
Jenna K. Leinberger ◽  
Maeve M. Leurck ◽  
...  

2021 ◽  
Vol 30 (1) ◽  
pp. 59-65
Author(s):  
Anca Loredana Udristoiu ◽  
Daniela Stefanescu ◽  
Gabriel Gruionu ◽  
Lucian Gheorghe Gruionu ◽  
Andreea Valentina Iacob ◽  
...  

Background and Aims: Mucosal healing (MH) is associated with a stable course of Crohn’s disease (CD) which can be assessed by confocal laser endomicroscopy (CLE). To minimize the operator’s errors and automate assessment of CLE images, we used a deep learning (DL) model for image analysis. We hypothesized that DL combined with convolutional neural networks (CNNs) and long short-term memory (LSTM) can distinguish between normal and inflamed colonic mucosa from CLE images. Methods: The study included 54 patients, 32 with known active CD, and 22 control patients (18 CD patients with MH and four normal mucosa patients with no history of inflammatory bowel diseases). We designed and trained a deep convolutional neural network to detect active CD using 6,205 endomicroscopy images classified as active CD inflammation (3,672 images) and control mucosal healing or no inflammation (2,533 images). CLE imaging was performed on four colorectal areas and the terminal ileum. Gold standard was represented by the histopathological evaluation. The dataset was randomly split in two distinct training and testing datasets: 80% data from each patient were used for training and the remaining 20% for testing. The training dataset consists of 2,892 images with inflammation and 2,189 control images. The testing dataset consists of 780 images with inflammation and 344 control images of the colon. We used a CNN-LSTM model with four convolution layers and one LSTM layer for automatic detection of MH and CD diagnosis from CLE images. Results: CLE investigation reveals normal colonic mucosa with round crypts and inflamed mucosa with irregular crypts and tortuous and dilated blood vessels. Our method obtained a 95.3% test accuracy with a specificity of 92.78% and a sensitivity of 94.6%, with an area under each receiver operating characteristic curves of 0.98. Conclusions: Using machine learning algorithms on CLE images can successfully differentiate between inflammation and normal ileocolonic mucosa and can be used as a computer aided diagnosis for CD. Future clinical studies with a larger patient spectrum will validate our results and improve the CNN-SSTM model.


Gut ◽  
1994 ◽  
Vol 35 (11) ◽  
pp. 1593-1598 ◽  
Author(s):  
T Minami ◽  
H Tojo ◽  
Y Shinomura ◽  
Y Matsuzawa ◽  
M Okamoto

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Lokesh A. Rukmangadachar ◽  
Govind K. Makharia ◽  
Asha Mishra ◽  
Prasenjit Das ◽  
Gururao Hariprasad ◽  
...  

1989 ◽  
Vol 26 (3) ◽  
pp. 275-275
Author(s):  
S Hill ◽  
P J Milla ◽  
R Mirakian

2007 ◽  
Vol 52 (2) ◽  
pp. 427-434 ◽  
Author(s):  
Sreedhar Subramanian ◽  
Carol L. Roberts ◽  
C. Anthony Hart ◽  
Helen M. Martin ◽  
Steve W. Edwards ◽  
...  

ABSTRACT There is increasing evidence that Escherichia coli organisms are important in Crohn's disease (CD) pathogenesis. In CD tissue they are found within macrophages, and the adherent-invasive CD ileal E. coli isolate LF82 can replicate inside macrophage phagolysosomes. This study investigates replication and antibiotic susceptibility of CD colonic E. coli isolates inside macrophages. Replication of CD colonic E. coli within J774-A1 murine macrophages and human monocyte-derived macrophages (HMDM) was assessed by culture and lysis after gentamicin killing of noninternalized bacteria and verified by electron microscopy (EM). All seven CD colonic isolates tested replicated within J774-A1 macrophages by 3 h (6.36-fold ± 0.7-fold increase; n = 7 isolates) to a similar extent to CD ileal E. coli LF82 (6.8-fold ± 0.8-fold) but significantly more than control patient isolates (5.2-fold ± 0.25-fold; n = 6; P = 0.006) and E. coli K-12 (1.0-fold ± 0.1-fold; P < 0.0001). Replication of CD E. coli HM605 within HMDM (3.9-fold ± 0.7-fold) exceeded that for K-12 (1.4-fold ± 0.2-fold; P = 0.03). EM showed replicating E. coli within macrophage vacuoles. Killing of HM605 within J774-A1 macrophages following a 3-h incubation with antibiotics at published peak serum concentrations (C max) was as follows: for ciprofloxacin, 99.5% ± 0.2%; rifampin, 85.1% ± 6.6%; tetracycline, 62.8% ± 6.1%; clarithromycin, 62.1% ± 5.6% (all P < 0.0001); sulfamethoxazole, 61.3% ± 7.0% (P = 0.0007); trimethoprim, 56.3% ± 3.4% (P < 0.0001); and azithromycin, 41.0% ± 10.5% (P = 0.03). Ampicillin was not effective against intracellular E. coli. Triple antibiotic combinations were assessed at 10% C max, with ciprofloxacin, tetracycline, and trimethoprim causing 97% ± 0.0% killing versus 86% ± 2.0% for ciprofloxacin alone. Colonic mucosa-associated E. coli, particularly CD isolates, replicate within macrophages. Clinical trials are indicated to assess the efficacy of a combination antibiotic therapy targeting intramacrophage E. coli.


2000 ◽  
Vol 118 (4) ◽  
pp. A1116
Author(s):  
Charmian Banks ◽  
Penny Johnson ◽  
Adrian Bateman ◽  
Nick Sheron

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