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Cited by 329

The DOI matches its Crossref record; 95 of the 95 references it cites were found in a registry or an index.

The Relevance of Mouse Models for Investigating Age-Related Bone Loss in Humans

Open access
Jilka, R. L.·2013·The Journals of Gerontology Series A: Biological Sciences and Medical Sciences

Abstract

Mice are increasingly used for investigation of the pathophysiology of osteoporosis because their genome is easily manipulated, and their skeleton is similar to that of humans. Unlike the human skeleton, however, the murine skeleton continues to grow slowly after puberty and lacks osteonal remodeling of cortical bone. Yet, like humans, mice exhibit loss of cancellous bone, thinning of cortical bone, and increased cortical porosity with advancing age. Histologic evidence in mice and humans alike indicates that inadequate osteoblast-mediated refilling of resorption cavities created during bone remodeling is responsible. Mouse models of progeria also show bone loss and skeletal defects associated with senescence of early osteoblast progenitors. Additionally, mouse models of atherosclerosis, which often occurs in osteoporotic participants, also suffer bone loss, suggesting that common diseases of aging share pathophysiological pathways. Knowledge of the causes of skeletal fragility in mice should therefore be applicable to humans if inherent limitations are recognized.

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Metadata

Authors
Jilka, R. L.
Venue
The Journals of Gerontology Series A: Biological Sciences and Medical Sciences
Published
2013-05-20
Volume
68
Issue
10
Pages
1209-1217
ISSN
  • 1079-5006 (ISSN-L)
  • 1758-535X
OpenAlex
W2098095516
Cited by
329
References
95
FWCI
14.17
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: The Relevance of Mouse Models for Investigating Age-Related Bone Loss in Humans. https://app.cochat.ai/papers/10.1093/gerona/glt046
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Jilka, R. L. (2013). The Relevance of Mouse Models for Investigating Age-Related Bone Loss in Humans. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences. https://doi.org/10.1093/gerona/glt046

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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