Improving the Diagnosis of Dermatitis Herpetiformis Using the Intraepithelial Lymphogram.
Fernando Fernández-BañaresLaura CrespoMontserrat PlanellaSergio FarraisSandra IzquierdoNatalia López-PalaciosGarbiñe RoyJudith VidalConcepción NuñezPublished in: Nutrients (2024)
Dermatitis herpetiformis is a cutaneous manifestation of celiac disease. Phenotyping of intraepithelial lymphocytes in the small bowel mucosa can strengthen the diagnosis of celiac disease when it is not clear-cut. We aim to evaluate the usefulness of the intraepithelial lymphogram to confirm dermatitis herpetiformis in equivocal cases. We performed a retrospective multicenter study on patients diagnosed with dermatitis herpetiformis and collected data from the intraepithelial lymphogram assessed by flow cytometry. A total of 36 patients were analyzed in relation to the severity of intestinal damage (18 had non-atrophic mucosa) at baseline (N = 28) and/or after the adoption of a gluten-free diet (median follow-up of three years, N = 16). We observed that patients with atrophy more often had positive celiac serology ( p = 0.019), celiac clinical symptoms ( p = 0.018), and iron-deficiency anemia ( p = 0.018), but the severity of skin damage was similar in both groups ( p = 0.79). At baseline, increased TCRγδ + cells were present in 94% of patients with atrophy and 67% with non-atrophic lesions ( p = 0.13). After a gluten-free diet, increased TCRγδ + cells persisted in 100% and 63% of cases, respectively ( p = 0.21). We concluded that increased TCRγδ + cells may be helpful in confirming the diagnosis of dermatitis herpetiformis in equivocal cases, even in patients who were started on a gluten-free diet.
Keyphrases
- celiac disease
- end stage renal disease
- induced apoptosis
- high grade
- chronic kidney disease
- cell cycle arrest
- ejection fraction
- flow cytometry
- iron deficiency
- newly diagnosed
- oxidative stress
- peritoneal dialysis
- weight loss
- regulatory t cells
- prognostic factors
- atopic dermatitis
- endoplasmic reticulum stress
- machine learning
- cell death
- patient reported outcomes
- high throughput
- irritable bowel syndrome
- soft tissue
- deep learning
- depressive symptoms
- cell proliferation
- pi k akt