Osteoporosis and Celiac Disease: Updates and Hidden Pitfalls

Celiac Disease: A Forty-Year Analysis in an Italian Referral Center

BACKGROUND

Celiac disease (CD) is an autoimmune disorder triggered by gluten ingestion. Herein, we assessed clinical, serological and histopathological findings of a single-center, large cohort of CD patients diagnosed and followed-up over forty years.

METHODS

From January 1980 to December 2020, 1547 CD patients (1170 females; age range: 8-81 years; F:M ratio = 3.1:1) were diagnosed in an Italian tertiary referral center. Comorbidities and complications were recorded at diagnosis and during follow-up.

RESULTS

CD diagnoses quadrupled after 2000. The most frequent phenotype was the non-classical CD (63.3%), and the most prevalent histotype was Marsh 3C (44.7%). Gastrointestinal manifestations, detectable in 51% of patients, were diarrhea (24.3%), bloating (28%) and aphthous stomatitis (19.7%). The most common CD-associated disorder was osteopenia (59.9%), predominant in females (64.3%); extraintestinal manifestations included anemia (35.8% iron-deficiency; 87% folic acid malabsorption), cryptogenic hypertransaminasemia (27.9%), and recurrent miscarriages (11.5%). Thyroiditis (26.9%), type 1 diabetes mellitus (2.9%), and dermatitis herpetiformis (1.4%) were the most common CD-related autoimmune disorders. Six patients had inflammatory bowel disease. Complications and mortality rate occurred in 1.8% and 1.9%, respectively.

CONCLUSIONS

This single-center, large cohort analysis confirmed that CD presentation changed over the years, with an increase of non-classical and subclinical clinical phenotypes.

Gluten and Wheat in Women's Health: Beyond the Gut

Since the rise of awareness of gluten/wheat-related disorders in the academic and clinical field in the last few decades, misinformation regarding the gluten-free diet (GFD) and its impact on health has been spreading among the general population. Despite the established link between gluten and celiac disease (CD), where a GFD is mandatory to reach clinical and histological remission, things are more complicated when it comes to non-celiac gluten/wheat sensitivity (NCGWS) and other autoimmune/dysimmune disorders. In the last conditions, a beneficial effect of gluten withdrawal has not been properly assessed, but still is often suggested without strong supporting evidence. In this context, women have always been exposed, more than men, to higher social pressure related to nutritional behaviors and greater engagement in controlling body weight. With this narrative review, we aim to summarize current evidence on the adherence to a GFD, with particular attention to the impact on women's health.

Osteoporosis and bone fractures in patients with celiac disease: A nationwide cohort study

Celiac disease (CD) is an autoimmune disease caused by an abnormal immune response triggered by ingestion of gluten. Treatment of CD is a lifelong gluten-free diet. Both diagnosed and undiagnosed CD has been found to be associated with reduced bone mineral density, which can lead to an increased risk of fractures. We therefore aimed to investigate the association of CD and the risk of fractures and osteoporosis in Denmark in a nationwide registry-based study. We identified all patients with CD (ICD-10 code K90.0) between 2000 and 2018 and included those with at least two contacts with a CD diagnosis. In total, 9397 CD patients and 93,964 randomly selected age- and sex-matched (1:10) references from the general population were identified. The overall hazard ratio (HR) of developing osteoporosis in CD patients compared with matches was 5.39 (95 % confidence interval (CI): 4.89, 5.95), however when excluding events of osteoporosis occurring within 12 months from the date of diagnosis the overall HR was reduced to 3.87 (95 % CI: 3.44, 4.33). The HR for major osteoporotic fractures was 1.37 (95 % CI: 1.25, 1.51) and for any fractures 1.27 (95 % CI: 1.18, 1.36). For osteoporosis, major osteoporotic fractures, and any fracture prior to diagnosis of CD the odds ratios comparing CD patients with matches were 4.32 (95 % CI: 3.64, 4.68), 1.29 (95 % CI: 1.21, 1.37) and 1.34 (95 % CI: 1.27, 1.41), respectively. Thus, this study showed an increased risk of osteoporosis and bone fractures among individuals with CD, both before and after diagnosis of CD. These results underline that the risk of osteoporosis should be considered in the clinical management of patients with CD and that early diagnosis and treatment could be important.

Advancing our understanding of the influence of drug induced changes in the gut microbiome on bone health

The gut microbiome has been implicated in a multitude of human diseases, with emerging evidence linking its microbial diversity to osteoporosis. This review article will explore the molecular mechanisms underlying perturbations in the gut microbiome and their influence on osteoporosis incidence in individuals with chronic diseases. The relationship between gut microbiome diversity and bone density is primarily mediated by microbiome-derived metabolites and signaling molecules. Perturbations in the gut microbiome, induced by chronic diseases can alter bacterial diversity and metabolic profiles, leading to changes in gut permeability and systemic release of metabolites. This cascade of events impacts bone mineralization and consequently bone mineral density through immune cell activation. In addition, we will discuss how orally administered medications, including antimicrobial and non-antimicrobial drugs, can exacerbate or, in some cases, treat osteoporosis. Specifically, we will review the mechanisms by which non-antimicrobial drugs disrupt the gut microbiome's diversity, physiology, and signaling, and how these events influence bone density and osteoporosis incidence. This review aims to provide a comprehensive understanding of the complex interplay between orally administered drugs, the gut microbiome, and osteoporosis, offering new insights into potential therapeutic strategies for preserving bone health.

Qualitative Classification of Proximal Femoral Bone Using Geometric Features and Texture Analysis in Collected MRI Images for Bone Density Evaluation

The aim of this study was to use geometric features and texture analysis to discriminate between healthy and unhealthy femurs and to identify the most influential features. We scanned proximal femoral bone (PFB) of 284 Iranian cases (21 to 83 years old) using different dual-energy X-ray absorptiometry (DEXA) scanners and magnetic resonance imaging (MRI) machines. Subjects were labeled as "healthy" (T-score > -0.9) and "unhealthy" based on the results of DEXA scans. Based on the geometry and texture of the PFB in MRI, 204 features were retrieved. We used support vector machine (SVM) with different kernels, decision tree, and logistic regression algorithms as classifiers and the Genetic algorithm (GA) to select the best set of features and to maximize accuracy. There were 185 participants classified as healthy and 99 as unhealthy. The SVM with radial basis function kernels had the best performance (89.08%) and the most influential features were geometrical ones. Even though our findings show the high performance of this model, further investigation with more subjects is suggested. To our knowledge, this is the first study that investigates qualitative classification of PFBs based on MRI with reference to DEXA scans using machine learning methods and the GA.

Mapping the complexities of Relative Energy Deficiency in Sport (REDs): development of a physiological model by a subgroup of the International Olympic Committee (IOC) Consensus on REDs

The 2023 International Olympic Committee (IOC) consensus statement on Relative Energy Deficiency in Sport (REDs) notes that exposure to low energy availability (LEA) exists on a continuum between adaptable and problematic LEA, with a range of potential effects on both health and performance. However, there is variability in the outcomes of LEA exposure between and among individuals as well as the specific manifestations of REDs. We outline a framework for a 'systems biology' examination of the effect of LEA on individual body systems, with the eventual goal of creating an integrated map of body system interactions. We provide a template that systematically identifies characteristics of LEA exposure (eg, magnitude, duration, origin) and a variety of moderating factors (eg, medical history, diet and training characteristics) that could exacerbate or attenuate the type and severity of impairments to health and performance faced by an individual athlete. The REDs Physiological Model may assist the diagnosis of underlying causes of problems associated with LEA, with a personalised and nuanced treatment plan promoting compliance and treatment efficacy. It could also be used in the strategic prevention of REDs by drawing attention to scenarios of LEA in which impairments of health and performance are most likely, based on knowledge of the characteristics of the LEA exposure or moderating factors that may increase the risk of harmful outcomes. We challenge researchers and practitioners to create a unifying and dynamic physiological model for each body system that can be continuously updated and mapped as knowledge is gained.

Nutritional Status and Metabolism in Celiac Disease: Narrative Review

This review summarizes findings from studies assessing the nutritional status of patients with celiac disease (CD). Malnutrition, including over- and undernutrition, may be present in CD, both at diagnosis and while under treatment. Underweight and growth retardation in children, which mostly reflect malabsorption as a consequence of intestinal inflammation, are not a rule. Clinical presentations of CD can vary widely, and each manifestation has its own characteristics. Evaluating various nutritional parameters can be beneficial for CD patients and may improve health outcomes by facilitating an accurate definition of dietary needs and the development of a balanced diet that not only focuses on eliminating gluten but also provides adequate nutrients, alters metabolism, and reduces the risk of other disorders developing. The cornerstone of CD therapy is a gluten-free diet (GFD), which improves nutritional status, but even on a GFD, features of malnutrition may be present. Additionally, overweight and obesity may occur in patients on a GFD, with typical metabolic consequences.

Evaluation of the Usefulness of an Automatable Immunoassay for Monitoring Celiac Disease by Quantification of Immunogenic Gluten Peptides in Urine

A gluten-free diet (GFD) is currently the only treatment available for patients with celiac disease (CD). However, adherence to a GFD can be challenging because gluten is present in many foods. A lifelong follow-up of patients with CD must be performed to promote adherence to a GFD and to identify the appearance of symptoms and the associated diseases. Therefore, the development of tools to analyze gluten exposure in these patients is important. This study proposes the development of the first automatable ELISA to monitor adherence to a GFD through the quantification of urine gluten immunogenic peptides (u-GIP). Seven healthy volunteers without suspicion of CD and 23 patients with CD were monitored as part of this study to optimize, validate, and apply this assay. Non-interference was found in the urine matrix, and the recovery percentage for spiked samples was 81–101%. The u-GIP was stable for up to 16 days when the samples were stored at different temperatures. Overall, 100% of the patients had detectable u-GIP at diagnosis (range of 0.39–2.14 ng GIP/mL), which reduced to 27% after 12 months on a GFD. Therefore, this highly sensitive immunoassay would allow the analysis of u-GIP from a large battery of samples in clinical laboratories of specialized healthcare centers.