It is well established that osteoporosis and diabetes are prevalent diseases with significant associated morbidity and mortality. Patients with diabetes mellitus have an increased risk of bone fractures. In type 1 diabetes, the risk is increased by ∼6 times and is due to low bone mass. Despite increased bone mineral density (BMD), in patients with type 2 diabetes the risk is increased (which is about twice the risk in the general population) due to the inferior quality of bone. Bone fragility in type 2 diabetes, which is not reflected by bone mineral density, depends on bone quality deterioration rather than bone mass reduction. Thus, surrogate markers and examination methods are needed to replace the insensitivity of BMD in assessing fracture risks of T2DM patients. One of these methods can be trabecular bone score. The aim of the paper is to present the present state of scientific knowledge about the osteoporosis risk in diabetic patient. The review also discusses the possibility of problematic using the study conclusions in real clinical practice.

This narrative review explores the potential, complexities, and consequences of using artificial intelligence (AI) to screen large government-held facial image databases for the early detection of rare genetic diseases. Government-held facial image databases, combined with the power of artificial intelligence, offer the potential to revolutionize the early diagnosis of rare genetic diseases. AI-powered phenotyping, as exemplified by the Face2Gene app, enables highly accurate genetic assessments from simple photographs. This and similar breakthrough technologies raise significant privacy and ethical concerns about potential government overreach augmented with the power of AI. This paper explores the concept, methods, and legal complexities of AI-based phenotyping within the EU. It highlights the transformative potential of such tools for public health while emphasizing the critical need to balance innovation with the protection of individual privacy and ethical boundaries. This comprehensive overview underscores the urgent need to develop robust safeguards around individual rights while responsibly utilizing AI’s potential for improved healthcare outcomes, including within a forensic context. Furthermore, the intersection of AI and sensitive genetic data necessitates proactive cybersecurity measures. Current and future developments must focus on securing AI models against attacks, ensuring data integrity, and safeguarding the privacy of individuals within this technological landscape.

Hyperuricemia has traditionally been viewed primarily as a cause of gout; however, accumulating evidence indicates that elevated serum uric acid (sUA) is also associated with increased cardiovascular and renal risk. Recent epidemiological studies suggest that adverse outcomes may occur at sUA levels well below the classic crystal-based thresholds, particularly in patients with high cardiovascular risk. This expert consensus document was developed by a multidisciplinary European panel of cardiology, internal medicine, nephrology, and hypertension specialists. The recommendations are based on a critical narrative review of the literature published, including large cohort studies, meta-analyses, randomized controlled trials, and contemporary European guidelines (ESC, ESH, KDIGO, EULAR). Particular emphasis was placed on outcome-driven serum urate thresholds and clinically applicable risk stratification. Hyperuricemia is common and increasingly prevalent, especially among individuals with hypertension, chronic kidney disease, obesity, diabetes, and established cardiovascular disease. Elevated sUA is independently associated with cardiovascular mortality, heart failure, stroke, and faster progression of chronic kidney disease. However, randomized trials have not shown clear cardiovascular or renal benefit from routine urate-lowering therapy in patients with asymptomatic hyperuricemia. Based on current evidence, this consensus proposes a risk-based, individualized approach to hyperuricemia management and presents a pragmatic six-rung therapeutic ladder integrating lifestyle measures, optimization of comorbidities, and pharmacological urate-lowering therapy when clinically indicated. Hyperuricemia should be recognized as a relevant cardiovascular and renal risk factor rather than a benign biochemical finding. Serum urate measurement can improve risk stratification in selected high-risk populations. While routine treatment of asymptomatic hyperuricemia cannot be universally recommended, targeted urate-lowering strategies may be appropriate in patients with high cardiovascular risk, symptomatic disease, or very high sUA levels. Future randomized trials are needed to define whether urate-lowering therapy can improve hard cardiovascular and renal outcomes in these populations.

Chemokine CX3CL1 (fractalkine) may be an important factor linking thyroid status and bone remodeling, through tetrac, a derivative of thyroxine. This study explores the relationship between serum fractalkine levels and parameters of thyroid status and bone in premenopausal women with Graves’ disease (GD) in comparison to healthy controls. This cross-sectional study included three premenopausal female groups: active GD; cured GD, and healthy age-, gender-, and BMI-matched controls. Measurement of serum fractalkine levels (Quantikine^® ELISA), total amino-terminal peptide of procollagen type 1 (P1NP), CTx, thyroid hormones, BMD and trabecular bone score (TBS) were performed in all study subjects. Sixty women (21, 16, and 23 in active GD, cured GD, and healthy control groups, respectively) were included. Serum fractalkine levels were higher (p<0.05) in active and cured GD subjects compared to healthy controls (mean 0.7±0.14; 0.93±0.15, and 0.48±0.13 ng/ml, respectively). Lumbar spine BMD was lowest in the cured GD group in comparison to active GD and control group subjects (0.926±0.03; 1.016±0.03; 1.051±0.03 g/cm²; p<0.05, respectively). TBS was lower (p<0.05) in both GD groups than controls being lowest in those with active GD (1.395±0.02; 1.402±0.02, 1.469±0.02, respectively). Serum fractalkine concentration was positively correlated with fT4, and negatively correlated with TBS values. GD in pre-menopausal females is associated with increased serum fractalkine concentration and decreased TBS. Fractalkine may be a currently unappreciated link between hyperthyroidism and bone; further research into this possibility is needed.

Background/Objectives: Type II diabetes mellitus (T2DM) is recognized as a condition of mild chronic inflammation, marked by increased levels of acute-phase proteins and various inflammatory indicators. These inflammatory substances, along with inflammation of adipose tissue and the secretion of adipocytokines, can contribute to insulin resistance and β cell dysfunction. By influencing both innate and adaptive immunity, vitamin D can inhibit the production of inflammatory cytokines and help mitigate the low-grade chronic inflammation associated with T2DM. Several strategies have been proposed to increase vitamin D levels effectively and safely, but the recent and strong ones have common tactics. Short-term high doses increase the level acutely, and long-term lower doses maintain sufficient levels. Methods: The aim of our work was to determine and verify the effectiveness of high doses of vitamin D to safely increase its level in patients with type 2 diabetes mellitus, as well as the effect of these doses on selected metabolic parameters. Data from 20 studies (vitamin D group n = 612, and control group n = 592) regarding the influence of vitamin D supplementation with doses above 4000 IU on serum 25(OH)D, fasting blood glucose (FBG), hemoglobin A1c (HbA1c), blood pressure, serum calcium, and parathormone were pooled. Results: Vitamin D supplementation significantly improved serum 25(OH)D levels, with an average increase after intervention versus baseline at 177.09%. Our studies suggest that vitamin D supplementation may benefit various parameters in T2DM patients, including glycemic control, blood pressure, and PTH levels. Conclusions: Vitamin D supplementation may have beneficial effects on various parameters in type 2 diabetes patients, including glycemic control, blood pressure, and parathormone levels. However, the results are only sometimes consistent across all studies. Further examination is needed.

The coronavirus disease 2019 (COVID-19) pandemic has led to changes in lifestyle, which could influence vitamin D status on a population level. The purpose of our study was to compare 25-hydroxyvitamin D (25[OH]D) levels in patients hospitalized because of severe COVID-19 during two waves of the pandemic (2020/21 vs. 2021/22). A total of 101 patients from the 2021/22 wave were compared with 101 sex- and age-matched subjects from the 2020/21 wave. Patients from both groups were hospitalized during the winter season from 1 December to 28 February. Men and women were analyzed together and separately. The mean 25(OH)D concentration increased from 17.8 ± 9.7 ng/mL to 25.2 ± 12.6 ng/mL between waves. The prevalence of vitamin D deficiency (30 ng/mL) increased from 10% to 34% (p < 0.0001). The proportion of patients with a history of vitamin D supplementation increased from 18% to 44% (p < 0.0001). Low serum 25(OH)D concentration was independently associated with mortality after adjusting for age and sex for the whole cohort of patients (p < 0.0001). The prevalence of inadequate vitamin D status in hospitalized patients with COVID-19 in Slovakia decreased significantly, probably due to a higher rate of vitamin D supplementation during the COVID-19 pandemic.