ArticleFrontiers in immunology2024
The causal role of circulating inflammatory markers in osteoporosis: a bidirectional Mendelian randomized study.
Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed.
- Bone Marrow Immunometabolic Remodeling in Osteoporosis: From Systemic Risk Factors to Precision Intervention.International journal of general medicine · 2026Review
- The Linkage Among Gut Microbiota, Inflammatory Cytokines, and Immune Cell Dynamics in Osteoporosis: A Mendelian Randomization Study.Physiological research · 2025Article
- Metabolomic Understanding of variable risk factors for kidney cancer: a two-sample Mendelian randomization study.Discover oncology · 2025Article
- Higher systemic immune-inflammation index associates with vertebral marrow proton density fat fraction in postmenopausal women.Journal of bone and mineral metabolism · 2025Article
- Non-diabetic elderly populations: SIRI as a risk factor and PIV as a protective factor against bone abnormalities.Frontiers in endocrinology · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
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Abstract
Background: Osteoporosis (OP) associated with aging exerts substantial clinical and fiscal strains on societal structures. An increasing number of research studies have suggested a bidirectional relationship between circulating inflammatory markers (CIMs) and OP. However, observational studies are susceptible to perturbations in confounding variables. In contrast, Mendelian randomization (MR) offers a robust methodological framework to circumvent such confounders, facilitating a more accurate assessment of causality. Our study aimed to evaluate the causal relationships between CIMs and OP, identifying new approaches and strategies for the prevention, diagnosis and treatment of OP. Methods: We analyzed publicly available GWAS summary statistics to investigate the causal relationships between CIMs and OP. Causal estimates were calculated via a systematic analytical framework, including bidirectional MR analysis and Bayesian colocalization analysis. Results: Genetically determined levels of CXCL11 (OR = 0.91, 95% CI = 0.85-0.98, P = 0.008, P Conclusion: Despite finding no overall association between CIMs and OP, five CIMs demonstrated a potentially significant association with OP. These findings could pave the way for future mechanistic studies aimed at discovering new treatments for this disease. Additionally, we are the first to suggest a unidirectional causal relationship between ARTN and OP. This novel insight introduces new avenues for research into diagnostic and therapeutic strategies for OP.
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