Recognizing the Emergent and Submerged Iceberg of the Celiac Disease: ITAMA Project-Global Strategy Protocol.

Coeliac disease (CD) is frequently underdiagnosed with a consequent heavy burden in terms of morbidity and health care costs. Diagnosis of CD is based on the evaluation of symptoms and anti-transglutaminase antibodies IgA (TGA-IgA) levels, with values above a tenfold increase being the basis of the biopsy-free diagnostic approach suggested by present guidelines. This study showcased the largest screening project for CD carried out to date in school children (n=20,000) aimed at assessing the diagnostic accuracy of minimally invasive finger prick point-of-care tests (POCT) which, combined with conventional celiac serology and the aid of an artificial intelligence-based system, may eliminate the need for intestinal biopsy. Moreover, this study delves deeper into the "coeliac iceberg" in an attempt to identify people with disorders who may benefit from a gluten-free diet, even in the absence of gastrointestinal symptoms, abnormal serology and histology. This was achieved by looking for TGA-IgA mucosal deposits in duodenal biopsy. This large European multidisciplinary health project paves the way to an improved quality of life for patients by reducing the costs for diagnosis due to delayed findings of CD and to offer business opportunities in terms of diagnostic tools and support.

Computer-Assisted Classification Patterns in Autoimmune Diagnostics: The AIDA Project.

Antinuclear antibodies (ANAs) are significant biomarkers in the diagnosis of autoimmune diseases in humans, done by mean of Indirect ImmunoFluorescence (IIF) method, and performed by analyzing patterns and fluorescence intensity. This paper introduces the AIDA Project (autoimmunity: diagnosis assisted by computer) developed in the framework of an Italy-Tunisia cross-border cooperation and its preliminary results. A database of interpreted IIF images is being collected through the exchange of images and double reporting and a Gold Standard database, containing around 1000 double reported images, has been settled. The Gold Standard database is used for optimization of a CAD (Computer Aided Detection) solution and for the assessment of its added value, in order to be applied along with an Immunologist as a second Reader in detection of autoantibodies. This CAD system is able to identify on IIF images the fluorescence intensity and the fluorescence pattern. Preliminary results show that CAD, used as second Reader, appeared to perform better than Junior Immunologists and hence may significantly improve their efficacy; compared with two Junior Immunologists, the CAD system showed higher Intensity Accuracy (85,5% versus 66,0% and 66,0%), higher Patterns Accuracy (79,3% versus 48,0% and 66,2%), and higher Mean Class Accuracy (79,4% versus 56,7% and 64.2%).

Expression of wild-type and variant estrogen receptor alpha in liver carcinogenesis and tumor progression.

Although estrogen receptors (ERs) are expressed in human hepatocellular carcinoma (HCC), several clinical trials have failed to demonstrate the efficacy of antiestrogen treatment in HCC patients. Recently, the identification of several ER splicing variants has enlightened the complex nature of estrogen signaling in peripheral tissues; this may help understanding estrogen role in either nontumoral or malignant nonclassical target organs, including liver. In this work we have investigated mRNA expression of wild-type and splice variants of ERα in nontumoral, cirrhotic, and malignant human liver, as well as in HCC cell lines, using an exon-specific reverse transcription polymerase chain reaction (RT-PCR). In particular, ERα66 was detected in nontumoral and, to a lesser extent, in cirrhotic liver tissues, whereas its expression decreased or became undetectable in HCC tissues and cell lines. The ERα46 splicing variant was detected ubiquitously in all samples; interestingly, however, the ERα36 variant was inversely expressed with respect to ERα66, being highest in HepG2 cells, intermediate in Huh7 cells, and lowest in HA22T cells. It is noteworthy that aromatase was correspondingly expressed with ERα36 and inversely related to ERα66. This observation suggests that a switch from ERα66 to a predominant expression of ERα36 may be associated with development and/or progression of human HCC.