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Japanese Journal of Clinical Immunology
Article . 2017 . Peer-reviewed
Data sources: Crossref
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Inflammation and osteoclasts

炎症と破骨細胞
Authors: Kazuhiro, Yokota;

Inflammation and osteoclasts

Abstract

Osteoclasts are differentiated from precursors of the monocyte/macrophage lineage originated from bone marrow hematopoietic stem cells and are the sole bone-resorbing cells in the body. Osteoclast differentiation is thought to require M-CSF (macrophage colony-stimulating factor) and RANKL (receptor activator of nuclear factor kappa-B ligand) signaling. However, it has recently been proposed that under chronic inflammatory conditions, such as systemic autoimmune diseases (e.g., rheumatoid arthritis), an increase in inflammatory cytokine levels within joints induces pathological osteoclast differentiation, causing excessive bone resorption. In addition, the authors have reported that stimulating mouse bone marrow monocytes and human CD14+ monocytes with combination of TNFα and IL-6 can induce differentiation of osteoclast-like cells, which are cells with bone resorption activity. In the present article, we discuss the mechanism of osteoclast differentiation of RANKL-independent bone-resorbing cells, using both data from the aforementioned report as well as the latest findings. Understanding the mechanisms underlying RANKL-independent, cytokine-mediated osteoclast differentiation could facilitate the development of novel therapies for inflammatory joint diseases.

Related Organizations
Keywords

Inflammation, Interleukin-6, Tumor Necrosis Factor-alpha, Macrophage Colony-Stimulating Factor, RANK Ligand, Osteoclasts, Cell Differentiation, Arthritis, Rheumatoid, Mice, Drug Discovery, Animals, Cytokines, Humans, Molecular Targeted Therapy, Bone Resorption, Inflammation Mediators, Signal Transduction

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    23
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
23
Top 10%
Average
Top 10%
gold