Intestinal Beh?et's disease--pathognomonic changes in intramucosal lymphoid tissues and effect of a "rest cure" on intestinal lesions

To clarify the pathognomonic changes of intestinal lesions of Beh?et's disease and to determine effective therapeutic measures, we recruited 13 patients with the intestinal form of this disease for study. We performed pathology studies on the resected specimens of 7 patients and treated 5 of the other 6 patients with a low-residue diet. Pathology examination revealed that 6 of 7 had inflammatory ulcerations in the ileocecal region. The ileal ulcers were mainly on the antimesenteric side. We observed remnants of Peyer's patches at the margins of the major ulcerative lesions in 2 of 2 patients examined. There were aggregations of lymphocytes resembling destroyed lymph follicles in the superficial layer at the mouths of small fissuring lesions, and ulcer scars were also noted in Peyer's patches in 4 of 5 other patients. X-ray and endoscopic examinations revealed the disappearance of intestinal lesions in 5 patients within 1 month during, or following the low-residue diet treatment. We found the intestinal lesions of Beh?et's disease at sites coinciding with intramucosal lymphoid tissue. The "rest cure" for the affected bowel was effective, i.e., there was significant alleviation of gastrointestinal symptoms and the intestinal lesions disappeared. We speculated that acute exudative inflammation, abscess formation, and consequent ulceration may occur in these tissues by the same mechanisms as those that operate in the positive needle-prick reactions seen in patients with Beh?et's disease.     

Isolation and characterization of Lake Erie bacteria that degrade the cyanobacterial microcystin toxin MC-LR

Microcystin-LR (MC-LR) is a cyclic hepatotoxin produced by cyanobacteria, including Microcystis sp. and Planktothrix sp. Harmful algal blooms (HABs) in Lake Erie have become a major human health concern in recent years, highlighted by the August 2014 City of Toledo, Ohio, municipal water “do not drink” order that affected nearly 500,000 residents for 3?days. Given that microcystin degrading bacteria have been reported from HAB-affected waters around the world, we hypothesized that MC-LR degrading bacteria could be isolated from Lake Erie. To test this hypothesis, 13 water samples were collected from various Lake Erie locations during the summers of 2014 and 2015, MC-LR was continuously added to each water sample for 3 to 5?weeks to enrich for MC-LR-degrading bacteria, and MC-LR was quantitated over time. Whereas MC-LR was relatively stable in sterile-filtered lake water, robust MC-LR degradation (up to 19?ppb/day) was observed in some water samples. Following the MC-LR selection process, 67 individual bacterial isolates were isolated from MC-LR degrading water samples and genotyped to exclude potential human pathogens, and MC-LR degradation by smaller groups of bacterial isolates (e.g., groups of 22 isolates, groups of 11 isolates, etc.) was examined. Of those smaller groups, selected groups of four to five bacterial isolates were found to degrade MC-LR into non-toxic forms and form robust biofilms on siliconized glass tubes. Taken together, these studies support the potential use of isolated bacterial isolates to remove MC-LR from drinking water.     

Kinetic modelling of the role of the aldehyde dehydrogenase enzyme and the breast cancer resistance protein in drug resistance and transport

A compartmental model for the in vitro uptake kinetics of the anti-cancer agent topotecan (TPT) has been extended from a previously published model. The extended model describes the drug activity and delivery of the pharmacologically active form to the DNA target as well as the catalysis of the aldehyde dehydrogenase (ALDH) enzyme and the elimination of drug from the cytoplasm via the efflux pump. Verification of the proposed model is achieved using scanning-laser microscopy data from live human breast cancer cells. Before estimating the unknown model parameters from the experimental in vitro data it is essential to determine parameter uniqueness (or otherwise) from this imposed output structure. This is formally performed as a structural identifiability analysis, which demonstrates that all of the unknown model parameters are uniquely determined by the output structure corresponding to the experiment.