Circadian clock gene disruption in white blood cells of patients with celiac disease.

Clock gene disruption has been reported in inflammatory and autoimmune diseases. Specifically, it has been shown that clock gene expression is down-regulated in intestinal tissue and peripheral blood mononuclear cells of patients with inflammatory bowel disease (IBD). We aimed to determine the systemic expression of the circadian clock genes in newly diagnosed untreated, young patients with celiac disease (CeD). We prospectively enrolled patients younger than 20 years old who underwent diagnostic endoscopic procedures either for CeD diagnosis or due to other gastrointestinal complaints, at the pediatric and adult gastroenterology units, the Tel Aviv Sourasky Medical Center from 8/2016-8/2022. Demographic data, anthropometric parameters, and endoscopic macroscopic and microscopic findings were obtained. Blood samples were obtained to determine tissue transglutaminase (tTG) and core clock gene (CLOCK, BMAL1, PER1, PER2, CRY1, CRY2) expression in white blood cells (WBC). Thirty individuals were analyzed (18 with newly diagnosed CeD and 12 controls). Expression of the clock genes CLOCK, BMAL1, CRY2, PER1 and PER2 was significantly reduced in CeD patients compared to controls, while CRY1 did not differ between the groups. In conclusion, newly diagnosed, untreated, young patients with CeD have reduced clock gene expression in WBC compared to controls. These results suggest that, in CeD, the inflammatory response is associated with systemic disruption of clock gene expression, as is manifested in other inflammatory and autoimmune diseases. CLINICALTRIALS.GOV IDENTIFIER: NCT03662646.

Evaluation of a machine learning tool for the early identification of patients with undiagnosed psoriatic arthritis - A retrospective population-based study.

Background: Psoriatic arthritis (PsA), an immune-mediated chronic inflammatory skin and joint disease, affects approximately 0.27% of the adult population, and 20% of patients with psoriasis. Up to 10% of psoriasis patients are estimated for having undiagnosed PsA. Early diagnosis and treatment can prevent irreversible joint damage, disability and deformity. Questionnaires for screening to identify undiagnosed PsA patients require patient and physician involvement. Objective: To evaluate a proprietary machine learning tool (PredictAI™) developed for identification of undiagnosed PsA patients 1-4 years prior to the first time that they were suspected of having PsA (reference event). Methods: This retrospective study analyzed data of the adult population from Maccabi Healthcare Service between 2008 and 2020. We created 2 cohorts: The general adult population ("GP Cohort") including patients with and without psoriasis and the Psoriasis cohort ("PsO Cohort") including psoriasis patients only. Each cohort was divided into two non-overlapping train and test sets. The PredictAI™ model was trained and evaluated with 3 years of data predating the reference event by at least one year. Receiver operating characteristic (ROC) analysis was used to investigate the performance of the model, built using gradient boosted trees, at different specificity levels. Results: Overall, 2096 patients met the criteria for PsA. Undiagnosed PsA patients in the PsO cohort were identified with a specificity of 90% one and four years before the reference event, with a sensitivity of 51% and 38%, and a PPV of 36.1% and 29.6%, respectively. In the GP cohort and with a specificity of 99% and for the same time windows, the model achieved a sensitivity of 43% and 32% and a PPV of 10.6% and 8.1%, respectively. Conclusions: The presented machine learning tool may aid in the early identification of undiagnosed PsA patients, and thereby promote earlier intervention and improve patient outcomes.

Inverse Relationship Between Clock Gene Expression and Inflammatory Markers in Ulcerative Colitis Patients Undergoing Remission.

BACKGROUND: Changes in the expression of clock genes have been reported in inflammatory bowel disease (IBD) patients. AIMS: We aimed to investigate whether reduced inflammation restores clock gene expression to levels of healthy controls. METHODS: This was a prospective study. Participants completed questionnaires providing data on demographics, sleeping habits, and disease activity. Anthropometric parameters, C-reactive protein (CRP), and fecal calprotectin (Fcal) levels were collected. Peripheral blood samples were analyzed for clock gene (CLOCK, BMAL1, CRY1, CRY2, PER1, PER2) expression. Patients with IBD were separated by diagnosis into ulcerative colitis (UC) and Crohn's disease (CD). Each diagnosis was further divided into active disease and disease under remission. RESULTS: Forty-nine patients with IBD and 19 healthy controls completed the study. BMAL1 and PER2 were significantly reduced in active patients with UC compared to patients with UC in remission. BMAL1, PER1, and PER2 were significantly reduced in patients with UC with CRP > 5 mg/dl. PER2, CRY1, and CRY2 were significantly reduced in patients with UC with Fcal > 250 mg/kg. Clock gene expression of patients with UC in remission was comparable to healthy controls. When all patients with IBD were analyzed, an overshoot in CRY1 expression was observed in patients in remission, patients with CRP < 5 mg/dl, and patients with Fcal < 250 mg/kg. CONCLUSION: CRP and Fcal are inversely related to clock gene levels in patients with UC. CRY1 may play a role in counteracting the anti-inflammatory processes when remission is induced in patients with IBD. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT03662646.