Evidence map›Paper›PMID 41379398›Full record

ArticleAging clinical and experimental research2025

Serum iron levels as a risk factor for Osteoporosis-Related pathological fractures.

Shangjin Lin, Xingcai Deng, Yongqian Fan, Tao Cui, Shengwu Yang, Zhengxiang Huang

Abstract read
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Article in Aging clinical and experimental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Shangjin LinDepartment of Orthopaedic Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China.
Xingcai DengWenzhou Medical University, Wenzhou, 325000, Zhejiang, China.
Yongqian FanDepartment of Orthopaedic Surgery, Huadong Hospital, Fudan University, Shanghai, 200040, China.
Tao CuiDepartment of Orthopaedic Surgery, Huadong Hospital, Fudan University, Shanghai, 200040, China.
Shengwu YangDepartment of Orthopaedic Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China. yangshengwu@wmu.edu.cn.
Zhengxiang HuangDepartment of Orthopaedic Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China. zhengxiang.h@163.com.

Funding

the Clinical Research Center for Geriatric Fractures of Huadong Hospital No. LCZX2208
6 · The paper itself

Abstract

backgroundOsteoporosis is a prevalent bone disease characterized by decreased bone mass and deterioration of bone microstructure, leading to an increased risk of fractures. Pathological fractures, particularly in postmenopausal women, are a severe complication of osteoporosis. This study investigates the potential molecular role of micronutrients, particularly iron, in osteoporosis and its association with pathological fractures.

methodsWe performed a Mendelian randomization (MR) analysis using genome-wide association study (GWAS) summary data to explore the relationship between 15 trace elements (including iron, calcium, copper, and vitamins) and osteoporosis-related outcomes. Outcome data were obtained from the FinnGen database. The inverse-variance weighted (IVW) method was used to evaluate the causal effects of micronutrients on osteoporosis and osteoporosis-related fractures, including those occurring in postmenopausal women. Sensitivity analyses for pleiotropy and heterogeneity, including MR-Egger and leave-one-out analysis, were also performed.

resultsAmong the 15 micronutrients analyzed, serum iron levels were significantly associated with an increased risk of osteoporosis with pathological fractures. The IVW analysis revealed a strong association between iron levels and the occurrence of osteoporosis with pathological fractures (OR = 2.630, 95% CI: 1.161-5.957, P = 0.020), as well as postmenopausal osteoporosis with fractures (OR = 2.714, 95% CI: 1.156-6.368, P = 0.022). No significant genetic association was observed between iron and osteoporosis alone (OR = 1.238, 95% CI: 0.856-1.791, P = 0.256). Other micronutrients did not show significant effects on osteoporosis or fractures. Sensitivity analyses indicated no evidence of heterogeneity or pleiotropy.

conclusionThis study identifies serum iron levels as a molecular risk factor for osteoporosis-related pathological fractures, particularly in postmenopausal individuals, but not for osteoporosis itself. These findings highlight the potential role of iron in the pathogenesis of osteoporotic fractures and suggest further investigation into its molecular mechanisms in bone health.

Indexed as

Fractures, SpontaneousIronOsteoporosisOsteoporotic FracturesAgedBone DensityFemaleGenome-Wide Association StudyHumansMendelian Randomization AnalysisMiddle AgedOsteoporosis, PostmenopausalRisk FactorsIronIronMendelian randomizationOsteoporosisPathological fractureTrace elements

Identifiers

PMID41379398
PMCPMC12698794

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.