Evidence map›Paper›PMID 25059214›Full record

ArticleInflammation2015

Effects of mouse hepcidin 1 treatment on osteoclast differentiation and intracellular iron concentration.

Guo-yang Zhao, Dong-hua Di, Bo Wang, Xi Huang, You-jia Xu

Abstract read
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In one paragraph

Article in Inflammation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-weighted citation impact, top 29% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

10 citing papers in PubMed, 18 citations in OpenAlex.

  1. Iron and Bone Pathophysiology.Advances in experimental medicine and biology · 2025
    Review
  2. Review
  3. Emerging role of liver-bone axis in osteoporosis.Journal of orthopaedic translation · 2024
    Review
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  5. Article
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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

5 authors at 4 institutions in 2 countries.

Guo-yang ZhaoDepartment of Orthopaedics, The Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, China.
Dong-hua Di
Bo Wang
Xi Huang
You-jia Xu
Affiliated Hospital of Jiangsu University · CNJiangsu University · CNNew York University · USSecond Affiliated Hospital of Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepcidin is a key player in the regulation of mammalian iron homeostasis. Because iron overload may be one of the causes of osteoporosis, hepcidin may have therapeutic potential for osteoporosis patients. However, the effects of hepcidin on bone metabolism are not fully clear. We recently found that hepcidin can increase intracellular iron and calcium levels and promote mineralization in osteoblasts. The present study was designed to evaluate the effects of hepcidin on osteoclasts. Our results showed that mouse hepcidin 1 (MH1) can increase the number of TRAP-positive MNCs concomitant in both bone marrow-derived macrophages (BMMs) and RAW264.7 cells and upregulate mRNA levels of TRAP, cathepsin K, and MMP-9 and increase TRAP-5b protein secretion in RAW264.7 cells. Moreover, MH1 can downregulate the level of FPN1 protein and increase intracellular iron in RAW 264.7 cells. Therefore, we conclude that MH1 can significantly facilitate osteoclast differentiation in vitro. The mechanism behind accelerated differentiation may be associated with increased levels of intracellular iron. These findings may facilitate understanding of the effects of hepcidin on bone metabolism.

Indexed as

AnimalsCell DifferentiationCell LineDose-Response Relationship, DrugHepcidinsIntracellular FluidIronMiceOsteoclastsTreatment OutcomeHamp protein, mouseHepcidinsIron

Identifiers

PMID25059214
OpenAlexW1963571431

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.