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Safety of Antidiabetic Therapies on Bone

Overview of attention for article published in Clinical & Translational Metabolism, February 2012
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32 Mendeley
Title
Safety of Antidiabetic Therapies on Bone
Published in
Clinical & Translational Metabolism, February 2012
DOI 10.1007/s12018-012-9129-7
Pubmed ID
Authors

Beata Lecka-Czernik

Abstract

Osteoporosis and diabetic disease have reached epidemic proportion and create significant public health concerns. The prevalence of these diseases is alarming, and indicates that in the US, 50% of elderly individuals are osteoporotic and almost 20% of population has either diabetic or prediabetic conditions (Centers for Disease Control and Prevention; http://www.cdc.gov). Osteoporosis and diabetes share many features including genetic predispositions and molecular mechanisms. The linkage between these two chronic diseases, which stems from overlapping molecular controls involved in bone homeostasis and energy metabolism, creates a possibility that certain anti-diabetic therapies may affect bone. This concurs with recent findings indicating that bone status is closely linked to regulation of energy metabolism and insulin sensitivity. Indeed, bone and energy homeostasis are under the control of the same regulatory factors, including insulin, peroxisome proliferator activated receptor gamma (PPARγ), gastrointestinal hormones such as glucose inhibitory protein (GIP) and glucagon inhibitory peptide (GLP), and bone derived hormone osteocalcin. These factors and related mechanisms control glucose homeostasis and fatty acids metabolism in fat tissue, pancreas and intestine, which are pharmacological targets for anti-diabetic therapies. The same factors contribute to the bone quality by their effect on bone cell differentiation and bone remodeling process. This implies that bone should be considered as a vital target for therapies which modulate energy metabolism. This review is summarizing available data on the skeletal effects of clinically approved anti-diabetic therapies.

X Demographics

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The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 19%
Researcher 6 19%
Student > Bachelor 5 16%
Professor > Associate Professor 3 9%
Student > Master 2 6%
Other 4 13%
Unknown 6 19%
Readers by discipline Count As %
Medicine and Dentistry 13 41%
Agricultural and Biological Sciences 3 9%
Nursing and Health Professions 2 6%
Materials Science 2 6%
Immunology and Microbiology 1 3%
Other 3 9%
Unknown 8 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 March 2013.
All research outputs
#15,149,769
of 25,457,858 outputs
Outputs from Clinical & Translational Metabolism
#1
of 1 outputs
Outputs of similar age
#156,502
of 254,339 outputs
Outputs of similar age from Clinical & Translational Metabolism
#2
of 5 outputs
Altmetric has tracked 25,457,858 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.