Assessing the role of inflammatory and nutritional biomarkers in the diagnosis of celiac disease

Authors : Enver Çiftel, Hasan Atlı, Ramazan Dayanan, Selin Genç, Filiz Mercantepe
Pages : 506-512
Doi:10.38053/acmj.1732459
View : 54 | Download : 86
Publication Date : 2025-07-28
Article Type : Research Paper
Abstract :Aims: Celiac disease (CeD) is an immune-mediated enteropathy with multisystem involvement that is often underdiagnosed due to variable clinical manifestations. Identifying reliable, accessible, and noninvasive biomarkers is essential for timely diagnosis, particularly in resource-limited settings. This study aims to evaluate the diagnostic utility of inflammation and nutrition-related indices and scores calculated from routine laboratory tests in predicting CeD. Methods: This retrospective cross-sectional study included 79 biopsy-confirmed celiac patients and 60 healthy controls. Demographic, hematological, and biochemical data were collected. The platelet-to-lymphocyte ratio (PLR), triglycerideglucose index (TyG), hemoglobin, albumin, lymphocyte, and platelet (HALP) score, and other inflammation-related indices were calculated via validated formulas. Logistic regression analysis was performed to identify independent predictors of CeD. Receiver operating characteristic (ROC) curves were used to assess diagnostic performance. Results: Compared with controls, patients with CeD had significantly greater PLRs and lower TyG indices and HALP scores (p<0.05 for all). In logistic regression analysis, both the TyG index (OR: 0.248, 95% CI [0.090, 0.685]) and the HALP score (OR: 0.013, 95% CI [0.001, 0.108]) were identified as independent risk factors for CeD. ROC analysis demonstrated that the PLR (AUC: 0.641), TyG score (AUC: 0.643), and HALP score (AUC: 0.697) could distinguish celiac patients from healthy individuals. The optimal cut-off values were 138 for PLR, 8.21 for TyG, and 0.47 for HALP, with corresponding sensitivities and specificities ranging from 53% to 68%. Conclusion: The TyG index and HALP score are independent predictors of CeD and, may serve as useful noninvasive markers for risk stratification.
Keywords : Çölyak hastalığı, PLR, TyG indeksi, HALP skoru, biyobelirteçler, inflamasyon, beslenme

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