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

Magazzù, Giuseppe; Aquilina, Susan; Barbara, Christopher; Bondin, Ramon; Brusca, Ignazio; Bugeja, Jacqueline; Camilleri, Mark; Cascio, Donato; Costa, Stéfano; Cuzzupè, Chiara; Duca, Annalise; Fregapane, Maria; Gentile, Vito; Giuliano, Angele; Grifò, Alessia; Grima, Andrea; Ieni, Antonio; Calzi, Giada Li; Maisano, Fabiana; Melita, G; Pallio, Socrate; Panasiti, Ilenia; Pellegrino, Salvatore; Romano, Claudio; Sorce, Salvatore; Tabacchi, Marco Elio; Taormina, Vincenzo; Tegolo, Domenico; Tortora, A.; Valenti, Cesare; Vella, Cecil; Raso, G.

doi:10.3390/pediatric14020037

Cited by 4 publications

(2 citation statements)

References 31 publications

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“…CD as an immune-mediated disease is associated with an increased risk of infections, including COVID-19, due to nutritional, vitamin and mineral deficiencies, especially for patients who do not comply with GFD. Multidisciplinary healthcare projects are needed to improve the QOL of these children [ 37 , 180 , 181 , 182 ].…”

Section: Discussionmentioning

confidence: 99%

Celiac Disease and Targeting the Molecular Mechanisms of Autoimmunity in COVID Pandemic

Ailioaie

Litscher

et al. 2022

IJMS

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Celiac disease (CD) comprises over 1% of the world’s population and is a chronic multisystem immune-mediated condition manifested by digestive and/or extradigestive symptoms caused by food intake of gluten. This review looked at the risk of children diagnosed with CD developing SARS-CoV-2 infection and possible severe forms of COVID-19. A better understanding of the interaction and effects of SARS-CoV-2 infection in CD is very important, as is the role of environmental and genetic factors, but especially the molecular mechanisms involved in modulating intestinal permeability with impact on autoimmunity. CD inspired the testing of a zonulin antagonist for the fulminant form of multisystem inflammatory syndrome in children (MIS-C) and paved the way for the discovery of new molecules to regulate the small intestine barrier function and immune responses. Original published works on COVID-19 and CD, new data and points of view have been analyzed because this dangerous virus SARS-CoV-2 is still here and yet influencing our lives. Medical science continues to focus on all uncertainties triggered by SARS-CoV-2 infection and its consequences, including in CD. Although the COVID-19 pandemic seems to be gradually extinguishing, there is a wealth of information and knowledge gained over the last two years and important life lessons to analyze, as well as relevant conclusions to be drawn to deal with future pandemics. Zonulin is being studied extensively in immunoengineering as an adjuvant to improving the absorption of new drugs and oral vaccines.

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Section: Discussionmentioning

confidence: 99%

Celiac Disease and Targeting the Molecular Mechanisms of Autoimmunity in COVID Pandemic

Ailioaie

Litscher

et al. 2022

IJMS

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“…The virtual DB was created using statistical information on the pathology. Specifically, since the prevalence of the celiac disease in the general population is 1:100 [26], a set of patient batches was generated, each consisting of 1 positive patient and a random number of negative patients extracted from a Gaussian distribution with a mean of 100 and variance of two standard deviations. Virtual data is generated as follows.…”

Section: A Virtual Databasementioning

confidence: 99%

A Fuzzy-Based Clinical Decision Support System for Coeliac Disease

et al. 2022

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Coeliac disease (CD) is a permanent inflammatory disease of the small intestine characterized by the destruction of the mucous membrane of this intestinal tract. Coeliac disease represents the most frequent food intolerance and affects about 1% of the population, but it is severely underdiagnosed. Currently available guidelines require CD-specific serology and atrophic histology in duodenal biopsy samples to diagnose CD in adults. In paediatric CD, but recently in adults also, non-invasive diagnostic strategies have become increasingly popular. In order to increase the rates of correct diagnosis of the disease without the use of biopsy, researchers have recently been using approaches based on artificial intelligence techniques. In this work, we present a Clinical Decision Support System (CDSS)system for supporting CD diagnosis, developed in the context of the Italy-Malta cross-border project ITAMA. The implemented CDSS has been based on a neural-network-based fuzzy classifier. The system was developed and tested using a Virtual Database and a Real Database acquired during the ITAMA project. Analysis on 10,000 virtual patients shows that the system achieved an accuracy of 99% and a sensitivity of 99%. On 19,415 real patients, of which 109 with a confirmed diagnosis of coeliac disease, the system achieved 99.6% accuracy, 85.7% sensitivity, 99.6% specificity and 96% precision. Such results show that the developed system can be used effectively to support the diagnosis of the CD by reducing the appeal to invasive techniques such as biopsy.

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ITAMACDSS: A Fuzzy Clinical Diagnostic Support System for Coeliac Disease

Tabacchi

2024

Studies in Computational Intelligence

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

Cited by 4 publications

References 31 publications

Celiac Disease and Targeting the Molecular Mechanisms of Autoimmunity in COVID Pandemic

Celiac Disease and Targeting the Molecular Mechanisms of Autoimmunity in COVID Pandemic

A Fuzzy-Based Clinical Decision Support System for Coeliac Disease

ITAMACDSS: A Fuzzy Clinical Diagnostic Support System for Coeliac Disease

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