Author: Ana Valea

Obesity and osteoporotic fractures

Obesity correlates with a higher risk of fractures in some sites as vertebras, upper arm, and legs. This is a narrative mini-review focused on several key points that link obesity with osteoporosis. Waist circumference may a better predictor of fractures than body mass index (BMI) in obese females. Even obese menopausal women have an extra source of estrogens in fat tissue this actually is not enough to offer a complete protection against osteoporotic fractures. Low levels of testosterone in males induce a higher risk of fall dependent or independent of sarcopenia (which is more evident in elderly). High BMI is correlated with vitamin D deficiency. Obesity is a contributor to muscle damage and decline due to fat accumulation and inefficient fuel utilisation by the muscle, namely sarcopenic obesity, regardless the age. Associated type 2 diabetes mellitus involves bone damage and fracture risk due to glycated proteins of the matrix, the changes of adipokines, increased cortical porosity, high risk of fall because of blood pressure and glycaemia anomalies, visual disturbances, renal and peripheral nerves diabetes-associated conditions etc. The fracture risk is also augmented via fat derived cytokines and chronic inflammation. Even it seems logical that the weight correction though bariatric surgery reduces the fracture risk in obesity, actually data from longitudinal studies pointed that, despite the procedure is life saving, it does not actually protect against osteoporosis which is regarded as a potential long-term complication. A high fracture burden in obesity should increase the level of awareness for practitioners of different medical areas due to multiple levels of complications and to the epidemiological impact of obesity.

A retrospective study in anti-osteoporotic drug naive adults with a one-year history of low- trauma fall: associated bone metabolic panel amid the presence of osteoporotic fractures

Objective. In this retrospective study, we aimed to analyse bone profile in menopausal women who suffered a low-trauma fall and were found to have an osteoporotic fracture. Methods. This real-life setting included individuals with a fall within the last year before DXA scan [providing bone mineral density (BMD)/T-score], and excluded traumatic falls, prior anti-osteoporosis therapy, diagnosis of osteoporosis, cancers, and bone metabolic diseases. Results. 5-year age-group analysis was statistically significantly different (N=48, p=0.017): in the 70-74 year interval, 75% were in group F (fracture +ve), in the 50-54 year interval, 83.33% were in group nonF (fracture-free). Mineral metabolism assays and bone turnover markers pinpointed a similar profile, except for DXA: femoral neck T-score was lower in group F versus nonF (-1.75±0.72 versus -1.17±0.91, p=0.029). Receiver operating characteristic curve of femoral neck T-score for predicting a fracture showed an area under the curve of 0.691 (p=0.031). Conclusion. Menopausal women with a 1-year fall history with fractures were older, had a longer menopause duration, and had lower femoral neck BMD than fracture-free women. Type 2 diabetes and hypertension had similar prevalence, as did the vitamin D profile and bone turnover markers. Individuals with vertebral fractures (most common types) showed a lower lumbar BMD versus those with non-vertebral fractures.

An exploratory study on microarray technology-based biomarkers in post-menopausal women with obesity: focus on blood levels of adipsin, adiponectin and agouti-related peptide

Background. A novel framework to assess obesity and its complications involves the evaluation of fat-derived factors as potential biomarkers of the cardio-metabolic outcome and long-term management. In this exploratory study, we aimed to evaluate microarray-based circulating levels of adiponectin, adipsin, and AgRP in menopausal women with obesity. Methods. This is a pilot, bi-centric study according to a protocol based on Quantibody® Human Obesity Array 3 (RayBiotech, Norcross, GA, USA). Patients with obesity-associated complications (hypertension, diabetes, dyslipidaemia) were excluded. Results. In the study population (N = 24, median age of 60 years) adiponectin correlated with lipocalin-2 (r = 0.943, p = 0.0048) and plasminogen activation inhibitor-1 (r = 0.829, p = 0.0416). Adipsin correlated with inteleukin-8 (r = 0.786, p = 0.0362), and leptin (r = 0.832, p = 0.0008). Conclusion. Apparently healthy obese menopausal individuals present a landscape of circulating adipokines that might be placed in relationship with the inflammatory and coagulation panel, across a complex inter-play. In addition, agouti-related peptide, despite being a well- known central orexigenic factor, might serve as circulating biomarker, too, noting its correlations with interleukin-6 and glycaemia at 120 minute during oral glucose tolerance test.

Exploratory results of circulating chemerin testing in humans

Objective: Currently, the global epidemiologic impact of obesity requires continuous seeking of practical biomarkers; hence, this current study aimed to address the gap of chemerin assays in obese versus non-obese females and to analyze its circulating levels in relationship with the glucose profile and other circulating adipokines. Methods: This is an exploratory, prospective, cross-sectional analysis in females aged between 50 and 80 years. We excluded individuals with diabetes, cancers, endocrine, kidney, cardiovascular, and bone conditions. Enzyme-linked immunosorbent assay-based circulating adipokines testing was performed. The final analysis was focused on circulating chemerin (ng/mL) in the obese [body mass index (BMI) ≥ 30 kg/sqm] versus non-obese (BMI < 30 kg/sqm) group. Results: The obesity (N=12) versus the non-obesity (N=12) group showed a statistically significantly higher HOMA-IR (p=0.04), fasting insulin (p=0.01), but similar circulating chemerin. Chemerin positively correlated with BMI only in the obesity group (r=0.881, p=0.0039), but not with patients’ age and glucose profile-based features in any group. Chemerin showed a statistically significant positive, strong correlation with VEGF-A level (r=0.857, p=0.0065) and an inverse statistically significant strong association with circulating leptin (r= -0.713, p=0.0092) and circulating IL-12 p40 (r= -0.829, p=0.0416) in the obesity group. Conclusion: As a potential hypothesis-generating analysis, this pilot study showed different statistical results in BMI-based groups, despite the fact that direct comparison of circulating chemerin and even leptin, VEGF-A, and IL-12 p40 did not reach between-group statistical significance. A larger sample size and a multimodal integration of the adipokines panel might serve for practical points in addressing obesity. Citation: Schipor SV, Manda D, Ciobica ML, Sima OC, Preda EM, Ciuche A, et al. Exploratory results of circulating chemerin testing in humans. R. J. Mil. Med. 2026, CXXIX(4): 404-412 https://doi.org/10.55453/rjmm.2026.129.4.6 Academic Editor: Raluca Mititelu