Evidence map›Paper›PMID 39345879›Full record

ArticleFrontiers in endocrinology2024

Association between serum iron status and the risk of five bone and joint-related diseases: a Mendelian randomization analysis.

Xiaolei Wang, Linjing Qiu, Zepei Yang, Changjiang Wu, Wenying Xie, Jing Zhang, Wenhui Li, Wangyang Li, Yanbin Gao, Taojing Zhang

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trace Elements-Role in Joint Function and Impact on Joint Diseases.International journal of molecular sciences · 2025
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Xiaolei Wang *Department of Endocrinology, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China.
Linjing Qiu *Department of Endocrinology, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China.
Zepei YangDepartment of Endocrinology, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China.
Changjiang WuDepartment of Endocrinology, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China.
Wenying XieDepartment of Endocrinology, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China.
Jing ZhangDepartment of Endocrinology, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China.
Wenhui LiDepartment of Endocrinology, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China.
Wangyang LiDepartment of Endocrinology, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China.
Yanbin GaoBeijing Key Laboratory of Traditional Chinese Medicine (TCM), Collateral Disease Theory Research, School of Traditional Chinese Medicine, Capital Medical University, Beijing, China.
Taojing ZhangDepartment of Endocrinology, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: According to reports, iron status has been associated with the risk of bone and joint-related diseases. However, the exact role of iron status in the development of these conditions remains uncertain. Method: We obtained genetic data on iron status, specifically serum iron, ferritin, transferrin saturation (TSAT), and transferrin, as well as data on five common bone and joint-related diseases (osteoarthritis, osteoporosis, rheumatoid arthritis [RA], ankylosing spondylitis [AS], and gout) from independent genome-wide association studies involving individuals of European ancestry. Our primary approach for causal estimation utilized the inverse variance weighted (IVW) method. To ensure the reliability of our findings, we applied complementary sensitivity analysis and conducted reverse causal analysis. Result: Using the IVW method, we revealed a positive causal relationship between ferritin levels and the risk of osteoarthritis (OR [95% CI], 1.0114 [1.0021-1.0207]). Besides, we identified a protective causal relationship between serum iron levels and TSAT levels in the risk of RA (OR [95% CI] values of serum iron and TSAT were 0.9987 [0.9973-0.9999] and 0.9977 [0.9966-0.9987], respectively). Furthermore, we found a positive causal relationship between serum iron levels and the risk of AS (OR [95% CI], 1.0015 [1.0005-1.0026]). Regarding gout, both serum iron and TSAT showed a positive causal relationship (OR [95% CI] values of 1.3357 [1.0915-1.6345] and 1.2316 [1.0666-1.4221] for serum iron and TSAT, respectively), while transferrin exhibited a protective causal relationship (OR [95% CI], 0.8563 [0.7802-0.9399]). Additionally, our reverse causal analysis revealed a negative correlation between RA and ferritin and TSAT levels (OR [95% CI] values of serum iron and TSAT were 0.0407 [0.0034-0.4814] and 0.0049 [0.0002-0.1454], respectively), along with a positive correlation with transferrin (OR [95% CI], 853.7592 [20.7108-35194.4325]). To ensure the validity of our findings, we replicated the results through sensitivity analysis during the validation process. Conclusion: Our study demonstrated a significant correlation between iron status and bone and joint-related diseases.

Indexed as

FerritinsGenome-Wide Association StudyIronMendelian Randomization AnalysisOsteoarthritisArthritis, RheumatoidBone DiseasesGoutHumansJoint DiseasesOsteoporosisPolymorphism, Single NucleotideRisk FactorsSpondylitis, AnkylosingTransferrinFerritinsIronTransferrinbone and joint-related diseasesgeneticsgenome wide association studiesiron statusMendelian randomization

Identifiers

PMID39345879
PMCPMC11427247

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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.