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FOXO1 Mediates Vitamin D Deficiency–Induced Insulin Resistance in Skeletal Muscle

Overview of attention for article published in Journal of Bone & Mineral Research, October 2015
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Article details
Title
FOXO1 Mediates Vitamin D Deficiency–Induced Insulin Resistance in Skeletal Muscle
Published in
Journal of Bone & Mineral Research, October 2015
DOI 10.1002/jbmr.2729
Pubmed ID
Authors
Abstract

Prospective epidemiological studies have consistently shown a relationship between vitamin D deficiency, insulin resistance, and type 2 diabetes mellitus (DM2). This is supported by recent trials showing that vitamin D supplementation in prediabetic or insulin-resistant patients with inadequate vitamin D levels improves insulin sensitivity. However, the molecular mechanisms underlying vitamin D deficiency-induced insulin resistance and DM2 remain unknown. Skeletal muscle insulin resistance is a primary defect in the majority of patients with DM2. While sustained activation of forkhead box O1 (FOXO1) in skeletal muscle causes insulin resistance, a relationship between vitamin D deficiency and FOXO1 activation in muscle is unknown. We generated skeletal muscle-specific vitamin D receptor (VDR)-null mice and discovered that these mice developed insulin resistance and glucose intolerance accompanied by increased expression and activity of FOXO1. We also found sustained FOXO1 activation in the skeletal muscle of global VDR-null mice. Treatment of C2C12 muscle cells with 1,25-dihydroxyvitamin D (VD3) reduced FOXO1 expression, nuclear translocation, and activity. The VD3-dependent suppression of FOXO1 activation disappeared by knockdown of VDR, indicating that it is VDR-dependent. Taken together, these results suggest that FOXO1 is a critical target mediating VDR-null signaling in skeletal muscle. The novel findings provide the conceptual support that persistent FOXO1 activation may be responsible for insulin resistance and impaired glucose metabolism in vitamin D signaling-deficient mice, as well as evidence for the utility of vitamin D supplementation for intervention in DM2. This article is protected by copyright. All rights reserved.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
India 1 1%
United Kingdom 1 1%
Unknown 83 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 13 15%
Student > Bachelor 11 13%
Student > Ph. D. Student 11 13%
Researcher 8 9%
Professor > Associate Professor 7 8%
Other 9 11%
Unknown 26 31%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 16 19%
Biochemistry, Genetics and Molecular Biology 15 18%
Agricultural and Biological Sciences 9 11%
Nursing and Health Professions 4 5%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Other 10 12%
Unknown 28 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 October 2015.
All research outputs
#31,377,787
of 34,560,573 outputs
Outputs from Journal of Bone & Mineral Research
#5,613
of 5,786 outputs
Outputs of similar age
#278,473
of 315,890 outputs
Outputs of similar age from Journal of Bone & Mineral Research
#44
of 44 outputs
Altmetric has tracked 34,560,573 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,786 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 315,890 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.