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Patients with celiac disease are at high risk of developing metabolic syndrome and fatty liver
Ashish Agarwal, Alka Singh, Wajiha Mehtab, Vipin Gupta, Ashish Chauhan, Mahendra Singh Rajput, Namrata Singh, Vineet Ahuja, Govind K. Makharia
Intest Res 2021;19(1):106-114.   Published online April 22, 2020
DOI: https://doi.org/10.5217/ir.2019.00136
AbstractAbstract PDFPubReaderePub
Background/Aims
Gluten-free diet has an excess of fats and simple sugars and puts patients with celiac disease at risk of metabolic complications including metabolic syndrome and fatty liver. We assessed prevalence of metabolic syndrome and fatty liver in two cohorts of celiac disease.
Methods
Study was done in 2 groups. In group 1, 54 treatment naïve patients with celiac disease were recruited. Of them, 44 returned after 1-year of gluten-free diet and were reassessed. In group 2, 130 celiac disease patients on gluten-free diet for ≥1 year were recruited. All patients were assessed for anthropometric and metabolic parameters and fatty liver. Metabolic syndrome was defined as per consensus definition for Asian Indians. Fatty liver was defined as controlled attenuation parameter value >263 decibels by FibroScan.
Results
In group 1, of 44 treatment naïve patients with celiac disease, metabolic syndrome was present in 5 patients (11.4%) at baseline and 9 (18.2%) after 1 year of gluten-free diet. Patients having fatty liver increased from 6 patients (14.3%) at baseline to 13 (29.5%) after 1year of gluten-free diet (P=0.002). In group 2, of 130 patients with celiac disease on gluten-free diet for a median duration of 4 years, 30 out of 114 (26.3%) and 30 out of 130 patients (23%) had metabolic syndrome and fatty liver, respectively.
Conclusions
Patients with celiac disease are at high risk of developing metabolic syndrome and fatty liver, which increases further with gluten-free diet. These patients should be assessed for nutritional and metabolic features and counseled about balanced diet and physical activity regularly.

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Inflammatory bowel diseases
Quantitative histology-based classification system for assessment of the intestinal mucosal histological changes in patients with celiac disease
Prasenjit Das, Gaurav PS Gahlot, Alka Singh, Vandana Baloda, Ramakant Rawat, Anil K Verma, Gaurav Khanna, Maitrayee Roy, Archana George, Ashok Singh, Aasma Nalwa, Prashant Ramteke, Rajni Yadav, Vineet Ahuja, Vishnubhatla Sreenivas, Siddhartha Datta Gupta, Govind K Makharia
Intest Res 2019;17(3):387-397.   Published online April 22, 2019
DOI: https://doi.org/10.5217/ir.2018.00167
AbstractAbstract PDFPubReaderePub
Background/Aims
The existing histological classifications for the interpretation of small intestinal biopsies are based on qualitative parameters with high intraobserver and interobserver variations. We have developed and propose a quantitative histological classification system for the assessment of intestinal mucosal biopsies.
Methods
We performed a computer-assisted quantitative histological assessment of digital images of duodenal biopsies from 137 controls and 124 patients with celiac disease (CeD) (derivation cohort). From the receiver-operating curve analysis, followed by multivariate and logistic regression analyses, we identified parameters for differentiating control biopsies from those of the patients with CeD. We repeated the quantitative histological analysis in a validation cohort (105 controls and 120 patients with CeD). On the basis of the results, we propose a quantitative histological classification system. The new classification was compared with the existing histological classifications for interobserver and intraobserver agreements by a group of qualified pathologists.
Results
Among the histological parameters, intraepithelial lymphocyte count of ≥25/100 epithelial cells, adjusted villous height fold change of ≤0.7, and crypt depth-to-villous height ratio of ≥0.5 showed good discriminative power between the mucosal biopsies from the patients with CeD and those from the controls, with 90.3% sensitivity, 93.5% specificity, and 96.2% area under the curve. Among the existing histological classifications, our quantitative histological classification showed the highest intraobserver (69.7%–85.03%) and interobserver (24.6%–71.5%) agreements.
Conclusions
Quantitative assessment increases the reliability of the histological assessment of mucosal biopsies in patients with CeD. Such a classification system may be used for clinical trials in patients with CeD. (Intest Res, Published online)

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