Could it be gluten? Additional skin conditions associated with celiac disease

Klemm, Natasha; Gooderham, Melinda; Papp, Kim

doi:10.1111/ijd.15750

Cited by 6 publications

(5 citation statements)

References 67 publications

(128 reference statements)

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“…According to the authors, the presence of non-specific mild to moderate intraepithelial lymphocyte infiltration without evidence of villous atrophy which was seen only in those of positive AGAs, suggests a state of gluten sensitivity rather than necessarily CD in these subsets of patients [50]. However, the same results were not reproduced in a German, Italian and Australian studies probably in part due to ethnicity differences [55][56][57]. Indeed, in Europe, Germany has the lowest prevalence of CD whereas Sweden and Finland have the highest prevalence of the disease [58].…”

Section: Psoriasis and Gastrointestinal Tractmentioning

confidence: 95%

Psoriasis, bone and bowel: a comprehensive review and new insights

Sabooniha

2024

Explor Musculoskeletal Dis

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Psoriasis is a chronic immune-mediated disorder affecting about 2% of the population worldwide which is associated with significant morbidity. The disease usually presents as raised, well-demarcated erythematous plaques with adherent silvery scales. Psoriasis can appear at any age but it has two peaks occurring at 15–20 and 55–60 years of age. It affects males and females equally. Despite the multitude of investigations about psoriasis and even development of drugs with satisfactory results, its pathogenesis is not fully understood yet and its course is unpredictable. Various environmental triggers, e.g., obesity, stress and drugs may induce disease in genetically susceptible patients. Although psoriasis was considered primarily as a disease of the skin, more investigations have been revealed its systemic nature. Psoriatic arthritis (PsA) may complicate up to one-third of cases of psoriasis vulgaris (PV). Also, the association between psoriasis and a variety of other immune-mediated disorders such as inflammatory bowel disease (IBD) and celiac disease (CD) has been confirmed in various studies. Moreover, a growing body of evidences indicates that psoriasis shares some common histological and phenotypical properties with the spectrum of osteoimmunological diseases such as Paget’s disease of bone (PDB). Thus, exploring the common molecular and genetic mechanisms underlying psoriasis and related disorders is of paramount importance for better elucidating disease pathogenesis and designing more targeted treatments.

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Section: Psoriasis and Gastrointestinal Tractmentioning

confidence: 95%

Psoriasis, bone and bowel: a comprehensive review and new insights

Sabooniha

2024

Explor Musculoskeletal Dis

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“…CD has been associated with several diseases (26-28) including skin disorders, in both adults and children (25,(29)(30)(31)(32).…”

Section: And Skin Diseasesmentioning

confidence: 99%

Skin gluten-related disorders: new and old cutaneous manifestations to be considered

et al. 2023

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The term gluten-related disorders (GRD) refer to a spectrum of different clinical manifestations triggered by the ingestion of gluten in genetically susceptible individuals, including coeliac disease (CD), wheat allergy and non-celiac gluten sensitivity (NCGS). GRD are characterized by a large variety of clinical presentations with both intestinal and extra-intestinal manifestations. The latter may affect almost every organ of the body, including the skin. Besides the well-known association between CD and dermatitis herpetiformis, considered as the cutaneous specific manifestation of CD, many other muco-cutaneous disorders have been associated to GRD. In this review, we analyzed the main features of dermatological diseases with a proven association with GRD and those that improve after a gluten-free diet, focusing on the newly described cutaneous manifestations associated with NCGS. Our main hypothesis is that a “cutaneous-gluten sensitivity,” as specific cutaneous manifestation of NCGS, may exist and could represent a diagnostic marker of NCGS.

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“…They also prevent a complete enzymatic breakdown of gluten in consumers' intestines, increasing the concentration of toxic oligopeptides [2]. Celiac disease (CD), one of the five major illnesses associated with gluten [3], is a multifactorial autoimmune disease triggered in individuals genetically predisposed to gluten intake, which has been on the rise in the past 15-20 years [4,5]. The resulting small intestinal inflammatory process is accompanied by the production of specific antibodies against gliadin (prolamin of wheat) and tissue transglutaminase (TG), leading to a variety of gastrointestinal and extraintestinal manifestations of a wide range of severity [4,6].…”

Section: Introductionmentioning

confidence: 99%

“…Celiac disease (CD), one of the five major illnesses associated with gluten [3], is a multifactorial autoimmune disease triggered in individuals genetically predisposed to gluten intake, which has been on the rise in the past 15-20 years [4,5]. The resulting small intestinal inflammatory process is accompanied by the production of specific antibodies against gliadin (prolamin of wheat) and tissue transglutaminase (TG), leading to a variety of gastrointestinal and extraintestinal manifestations of a wide range of severity [4,6]. Despite the prevalence of CD rising to 1% worldwide; with some studies reporting a fourfold increase in the past 50 years, CD remains an often underdiagnosed condition [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

IoT System for Gluten Prediction in Flour Samples Using NIRS Technology, Deep and Machine Learning Techniques

et al. 2023

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Gluten is a natural complex protein present in a variety of cereal grains, including species of wheat, barley, rye, triticale, and oat cultivars. When someone suffering from celiac disease ingests it, the immune system starts attacking its own tissues. Prevalence studies suggest that approximately 1% of the population may have gluten-related disorders during their lifetime, thus, the scientific community has tried to study different methods to detect this protein. There are multiple commercial quantitative methods for gluten detection, such as enzyme-linked immunosorbent assays (ELISAs), polymerase chain reactions, and advanced proteomic methods. ELISA-based methods are the most widely used; but despite being reliable, they also have certain constraints, such as the long periods they take to detect the protein. This study focuses on developing a novel, rapid, and budget-friendly IoT system using Near-infrared spectroscopy technology, Deep and Machine Learning algorithms to predict the presence or absence of gluten in flour samples. 12,053 samples were collected from 3 different types of flour (rye, corn, and oats) using an IoT prototype portable solution composed of a Raspberry Pi 4 and the DLPNIRNANOEVM infrared sensor. The proposed solution can collect, store, and predict new samples and is connected by using a real-time serverless architecture designed in the Amazon Web services. The results showed that the XGBoost classifier reached an Accuracy of 94.52% and an F2-score of 92.87%, whereas the Deep Neural network had an Accuracy of 91.77% and an F2-score of 96.06%. The findings also showed that it is possible to achieve high-performance results by only using the 1452–1583 nm wavelength range. The IoT prototype portable solution presented in this study not only provides a valuable contribution to the state of the art in the use of the NIRS + Artificial Intelligence in the food industry, but it also represents a first step towards the development of technologies that can improve the quality of life of people with food intolerances.

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Could it be gluten? Additional skin conditions associated with celiac disease

Cited by 6 publications

References 67 publications

Psoriasis, bone and bowel: a comprehensive review and new insights

Psoriasis, bone and bowel: a comprehensive review and new insights

Skin gluten-related disorders: new and old cutaneous manifestations to be considered

IoT System for Gluten Prediction in Flour Samples Using NIRS Technology, Deep and Machine Learning Techniques

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