Background: The relationship between aging and osteoporosis is well established. However, the relationship between the body's physiological age, i.e. epigenetic age, and osteoporosis is not known. Our goal is to analyze the bidirectional causal relationship between epigenetic clocks and osteoporosis using a bidirectional Mendelian randomization study.
Methods: We used SNPs closely associated with GrimAge, Hannum, PhenoAge, and HorvathAge in epigenetic age and SNPs closely associated with femoral neck bone mineral density, lumbar spine bone mineral density, and forearm bone mineral density as instrumental variables, respectively, using the inverse variance weighting method and several other MR methods to assess the bidirectional causal relationship between epigenetic age and osteoporosis.
Result: There was no evidence of a clear causal relationship of epigenetic age (GrimAge, Hannum, PhenoAge, and HorvathAge) on femoral neck bone mineral density, lumbar spine bone mineral density, and forearm bone mineral density. In reverse Mendelian randomization analysis showed a significant causal effect of lumbar spine bone mineral density on GrimAge: odds ratio (OR) = 0.692, 95% confidence interval (CI) = (0.538-0.890), p = 0.004. The results suggest that a decrease in lumbar spine bone mineral density promotes an acceleration of GrimAge.
Conclusion: There was no significant bidirectional causal relationship between epigenetic age and osteoporosis A decrease in lumbar spine bone density may lead to an acceleration of the epigenetic clock "GrimAge". Our study provides partial evidence for a bidirectional causal effect between epigenetic age and Osteoporosis.
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http://dx.doi.org/10.1186/s12920-023-01708-3 | DOI Listing |
Am J Physiol Endocrinol Metab
March 2025
MaineHeath Institute for Research, Center for Molecular Medicine, Scarborough, Maine, United States.
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View Article and Find Full Text PDFEndokrynol Pol
March 2025
Department of Endocrine Disorders and Bone Metabolism, Chair of Endocrinology, Medical University of Lodz, Lodz, Poland.
Introduction: The authors of the latest recommendations state that osteoporosis diagnosis should not rely solely on densitometric (DXA) criteria. Fracture risk assessment is crucial for determining diagnosis and intervention thresholds. Comprehensive assessment of fracture risk requires consideration of bone mineral density (BMD) results, use of risk calculators like Fracture Risk Assessment Tool (FRAXTM), and analysis of clinical and lifestyle factors.
View Article and Find Full Text PDFEndokrynol Pol
March 2025
Department of Endocrine Disorders and Bone Metabolism, Chair of Endocrinology, Medical University of Lodz, Lodz, Poland.
Introduction: A densitometric diagnosis of osteoporosis qualifies patients to a diagnostic-therapeutic process, but densitometric evaluation may not be sufficient for osteopaenic patients. Therefore, it is essential to assess osteoporosis risk factors, fracture history, and 10-year fracture risk, and classify patients into low-, medium-, high-, or very high-risk categories. In our study, we aimed to assess the risk of fractures in patients with newly diagnosed osteopaenia and determine the percentage of patients at high and very high risk of fracture.
View Article and Find Full Text PDFEndokrynol Pol
March 2025
Department of Endocrinology and Metabolism, Changzhi Medical College Affiliated Heji Hospital, Changzhi, China.
Bone mineral density is the primary basis for the diagnosis of osteoporosis. Bone mineral density measurement methods include dual-energy X-ray (DXA) and quantitative computed tomography (QCT). Based on traditional bone density detection equipment, the newly developed imaging detection technology can further detect the microstructures and geometric features of bones, providing important reference for exploring the pathophysiological changes, sensitive clinical diagnosis, and disease monitoring of osteoporosis.
View Article and Find Full Text PDFBackground: People with cystic fibrosis (pwCF) often have multifactorial peripheral muscle abnormalities attributed to, for example, malnutrition, steroid use, altered redox balance and, potentially, CF-specific intrinsic alterations. Malnutrition in CF now includes an increasing prevalence of overweight and obesity, particularly in those receiving CF transmembrane conductance regulator (CFTR) modulator therapy (CFTRm). We aimed to characterise peripheral muscle function and body composition in pwCF on Elexacaftor/Tezacaftor/Ivacaftor (ETI) CFTRm, compared to healthy controls.
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