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Primary Vitamin D Target Genes Allow a Categorization of Possible Benefits of Vitamin D3 Supplementation

Overview of attention for article published in PLOS ONE, July 2013
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Title
Primary Vitamin D Target Genes Allow a Categorization of Possible Benefits of Vitamin D3 Supplementation
Published in
PLOS ONE, July 2013
DOI 10.1371/journal.pone.0071042
Pubmed ID
Authors

Carsten Carlberg, Sabine Seuter, Vanessa D. F. de Mello, Ursula Schwab, Sari Voutilainen, Kari Pulkki, Tarja Nurmi, Jyrki Virtanen, Tomi-Pekka Tuomainen, Matti Uusitupa

Abstract

Vitamin D deficiency has been associated with an increased risk of developing a number of diseases. Here we investigated samples from 71 pre-diabetic individuals of the VitDmet study, a 5-month high dose vitamin D3 intervention trial during Finnish winter, for their changes in serum 25-hydroxyvitamin D3 (25(OH)D3) concentrations and the expression of primary vitamin D target genes in peripheral blood mononuclear cells and adipose tissue. A negative correlation between serum concentrations of parathyroid hormone and 25(OH)D3 suggested an overall normal physiological vitamin D response among the participants. The genes CD14 and thrombomodulin (THBD) are up-regulated primary vitamin D targets and showed to be suitable gene expression markers for vitamin D signaling in both primary tissues. However, in a ranking of the samples concerning their expected response to vitamin D only the top half showed a positive correlation between the changes of CD14 or THBD mRNA and serum 25(OH)D3 concentrations. Interestingly, this categorization allows unmasking a negative correlation between changes in serum concentrations of 25(OH)D3 and the inflammation marker interleukin 6. We propose the genes CD14 and THBD as transcriptomic biomarkers, from which the effects of a vitamin D3 supplementation can be evaluated. These biomarkers allow the classification of subjects into those, who might benefit from a vitamin D3 supplementation, and others who do not.

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Geographical breakdown

Country Count As %
Finland 1 1%
Peru 1 1%
South Africa 1 1%
Unknown 93 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 15%
Student > Bachelor 14 15%
Student > Ph. D. Student 12 13%
Student > Master 11 11%
Other 9 9%
Other 22 23%
Unknown 14 15%
Readers by discipline Count As %
Medicine and Dentistry 28 29%
Agricultural and Biological Sciences 15 16%
Biochemistry, Genetics and Molecular Biology 13 14%
Nursing and Health Professions 4 4%
Immunology and Microbiology 2 2%
Other 13 14%
Unknown 21 22%