Can we see epithelium tissue structure below the surface using an optical probe?

This paper answers the question of whether it is possible to detect changes below the surface in epithelium layered structures using a Stochastic Decomposition Method (SDM) that models the scattered light reflected from the layered structure over an area (2-D scan) illuminated by an optical sensor (fibre) emitting light at either one wavelength or with white light. Our technique correlates the differential changes in the reflected tissue texture with the morphological and physical changes that occur in the tissue occurring inside the structure. This work has great potential for detecting changes in mucosal structures and may lead to enhanced endoscopy when the disease is developing to the outside of the mucosal structure and hence becoming hidden during colonoscopy or endoscopic examination. Tests are performed on layered tissue phantoms, and the results obtained show great effectiveness of the model and method in picking up changes in the morphology of the layered tissue phantoms occurring below the surface. We also establish the robustness of the model to changes in viewing depth by testing it on phantoms viewed at different depths. We show that the model is robust to within a 4-mm-deep viewing range.

On-the-fly detection of changes on and below the surface in epithelium mucosal tissue architecture from scattered light.

In this paper we present a technique to raise a flag on the fly when a transition occurs between different mucosal architectures on or below the surface. The segmentation is based on a novel difference metric for detecting an abrupt change in the parameters extracted from a Stochastic Decomposition Method (SDM) that models the scattered light reflected from the mucosal tissue structure over an area (2-D scan) illuminated by an optical sensor (fiber) emitting light at either one wavelength or with white light. This work has the potential to enhance the endoscopist's ability to locate and identify abnormal mucosal architectures in particular when the disease is developing below the surface and hence becoming hidden during colonoscopy or endoscopic examination. It also has also potential in helping deciding as to when and where to take biopsies; steps that should lead to improvement in the diagnostic yield.

A PMMA microcapillary quantum dot linked immunosorbent assay (QLISA).

The development of a simple and inexpensive quantum dot based immunoassay for detecting myeloperoxidase (MPO) in stool samples is reported (QLISA). The method developed utilizes readily available polymethylmethacrylate (PMMA) microcapillaries as substrates for performing the sandwich assay. High power (80 mW) and low power (10 mW) UV-LEDs were tested for their efficiency in maximizing detection sensitivity in a waveguide illumination or a side illumination mode. The results obtained indicate that both waveguide and side illumination modes can be employed for detecting MPO down to 15 ng/mL, however the high power LED in a side illumination mode improves sensitivity and simplifies the data acquisition process. The protocol and sensor robustness was evaluated with animal stool samples spiked with MPO and the results indicate that the sensitivity of detection is not compromised when used in stool samples. The effect of the ionic strength of the environment on the fluorescence stability of quantum dots was evaluated and found to affect the assay only if long imaging times are employed. Replacing the buffer with glycerol during imaging increased the fluorescence intensity of quantum dots while significantly minimized the loss in intensity even after 2h.

Stochastic decomposition method for modeling the scattered signal reflected of mucosal tissues.

The aim of this work is to draw the attention of the biophotonics community to a stochastic decomposition method (SDM) to potentially model 2-D scans of light scattering data from epithelium mucosa tissue. The emphasis in this work is on the proposed model and its theoretical pinning and foundation. Unlike previous works that analyze scattering signal at one spot as a function of wavelength or angle, our method statistically analyzes 2-D scans of light scattering data over an area. This allows for the extraction of texture parameters that correlate with changes in tissue morphology, and physical characteristics such as changes in absorption and scattering characteristics secondary to disease, information that could not be revealed otherwise. The method is tested on simulations, phantom data, and on a limited preliminary in-vitro animal experiment to track mucosal tissue inflammation over time, using the area Az under receiver operating characteristics (ROC) curve as a performance measure. Combination of all the features results in an Az value up to 1 for the simulated data, and Az > 0.927 for the phantom data. For the tissue data, the best performances for differentiation between pairs of various levels of inflammation are 0.859, 0.983, and 0.999.

Acute pancreatitis--the current status in management.

Acute pancreatitis is a life-threatening inflammatory disorder of the pancreas. Currently, there is no effective pharmacological therapy available for this disorder. The management strategies remain supportive. Given the remarkable morbidity and mortality associated with acute pancreatitis, there is clearly a desperate need for effective novel therapies. This paper presents a review on the epidemiology, aetiology, pathogenesis and management of acute pancreatitis and highlights the need for the development of novel and more specific therapies to battle this disorder.

Antisense oligonucleotide blockade of tumor necrosis factor-alpha in two murine models of colitis.

Tumor necrosis factor-alpha (TNF-alpha) is a key cytokine involved in the pathogenesis of inflammatory bowel disease. We have developed a second-generation antisense oligonucleotide (ISIS 25302) specific for murine TNF-alpha and have evaluated this oligonucleotide in two models of gut inflammation of distinct etiology. ISIS 25302 decreased TNF-alpha mRNA in a dose- and sequence-dependent manner in vitro in the mouse macrophage cell line P388D1. It also reduced TNF-alpha mRNA in vivo, in whole adipose tissue and in macrophages isolated from the adipose tissue of db/db mice, a strain with constitutively high expression of TNF-alpha. ISIS 25302 significantly reduced disease activity index scores in mice with both an acute and a chronic form of dextran sodium sulfate (DSS)-induced colitis. It also significantly improved histopathological scores in interleukin (IL)-10-deficient mice. This was accompanied by reductions in both the basal and lipopolysaccharide-stimulated secretion of TNF-alpha and interferon-gamma in colonic organ cultures from IL-10 -/- mice. In this model, efficacy was obtained with both a prophylactic treatment regimen or a therapeutic dosing protocol begun after colitis was already present. In both the DSS and IL-10 -/- models, scrambled and mismatch control oligonucleotides were largely without effect, suggesting that ISIS 25302 was exerting its effects through a sequence-dependent antisense mechanism.

Colorectal cancer in inflammatory bowel disease: molecular and clinical features.

The two forms of inflammatory bowel disease (IBD), Crohn's disease and ulcerative colitis, are characterized by chronic and relapsing inflammation of the intestines. Initiating events presumably occur well before patients are symptomatic. Evidence gathered over the past decade from both IBD patients and animal models of intestinal inflammation have confirmed that IBD represents complex heterogenic forms of diseases, influenced by a combination of environmental, genetic, and immunologic factors working in concert to produce exaggerated immune responses, resulting in chronic and remitting inflammation.