Title |
Primary Vitamin D Target Genes Allow a Categorization of Possible Benefits of Vitamin D3 Supplementation
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Published in |
PLOS ONE, July 2013
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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. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 2 | 50% |
Finland | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 4 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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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 % |
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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% |