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Zhou Y, Zhao LJ, Xu X, Ye A, Travers-Gustafson D, Zhou B, Wang HW, Zhang W, Lee Hamm L, Deng HW, Recker RR, Lappe JM. DNA methylation levels of CYP2R1 and CYP24A1 predict vitamin D response variation. J Steroid Biochem Mol Biol 2014; 144 Pt A:207-14. [PMID: 24128439 PMCID: PMC3984616 DOI: 10.1016/j.jsbmb.2013.10.004] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2013] [Revised: 09/26/2013] [Accepted: 10/01/2013] [Indexed: 12/31/2022]
Abstract
Factors contributing to the variability of serum 25-hydroxyvitamin D [25(OH)D] in response to a given dose of vitamin D supplementation are largely unknown. We examined whether DNA methylation levels of Cytochrome P450 (CYP) enzymes (CYP2R1, CYP24A1, CYP27A1, and CYP27B1) are potential biomarkers predicting vitamin D response variation. We randomized 446 white postmenopausal women to a calcium and vitamin D (1100IU/day) intervention for at least 12 months. From these subjects, 18 with the highest 12-month increase in serum 25(OH)D were selected as "responders." Another 18 with the lowest 12-month increase in serum 25(OH)D were selected as "non-responders." DNA methylation levels between the groups were compared. To validate findings in the first study, association between DNA methylation levels and vitamin D response variation was studied in another 145 extended independent white postmenopausal women. In the first study, compared to non-responders, responders had significantly lower baseline DNA methylation levels in the promoter region of CYP2R1 (8% in the responders vs. 30% in the non-responders, P=0.004), and CYP24A1 (13% in the responders vs. 32% in the non-responders, P=0.001). In the validation study, for CYP2R1, baseline DNA methylation levels at eight CpG sites were negatively associated with 12-month increases in serum 25(OH)D (P<0.05). For CYP24A1, baseline DNA methylation levels at two CpG sites were also negatively associated with vitamin D response variation (r=-0.151, P=0.011; r=-0.131, P=0.025). These negative associations were consistent with the first study's results. Our findings indicate that baseline DNA methylation levels of CYP2R1 and CYP24A1 may predict vitamin D response variation. This article is part of a Special Issue entitled '16th Vitamin D Workshop'.
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Affiliation(s)
- Yu Zhou
- Center for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, Tulane University, New Orleans, LA 70112, USA; Cell and Molecular Biology Department, Tulane University, New Orleans, LA 70118, USA
| | - Lan-Juan Zhao
- Center for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, Tulane University, New Orleans, LA 70112, USA; Osteoporosis Research Center, Creighton University, Omaha, NE 68131, USA.
| | - Xiaojing Xu
- Center for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, Tulane University, New Orleans, LA 70112, USA; Osteoporosis Research Center, Creighton University, Omaha, NE 68131, USA
| | - An Ye
- Center for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, Tulane University, New Orleans, LA 70112, USA; Osteoporosis Research Center, Creighton University, Omaha, NE 68131, USA
| | | | - Boting Zhou
- Department of Pharmacy, Xiang-Ya Hospital of Central South University, Changsha, Hunan, China
| | - Hong-Wei Wang
- Department of Medicine, University of Chicago, Chicago, IL 60637, USA
| | - Weidong Zhang
- Center for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, Tulane University, New Orleans, LA 70112, USA
| | - L Lee Hamm
- School of Medicine, Tulane University, New Orleans, LA, 70112, USA
| | - Hong-Wen Deng
- Center for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, Tulane University, New Orleans, LA 70112, USA
| | - Robert R Recker
- Osteoporosis Research Center, Creighton University, Omaha, NE 68131, USA
| | - Joan M Lappe
- Osteoporosis Research Center, Creighton University, Omaha, NE 68131, USA
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Abstract
There are many different methods to choose for vitamin D analysis. While immunoassays are available commercially and readily automated, specificity for 25-hydroxyvitamin D2 and D3 is variable. Chemical assays such as HPLC and LC-MS/MS have greater specificity and are capable of detecting 25-hydroxyvitamin D2 and D3 separately, but are more complex and require method development. Currently LC-MS/MS is considered the method of choice for 25-hydroxyvitamin D analysis and the methods given here are for LC-MS/MS analysis of serum, plasma and dried whole blood for the separate quantitation of 25-hydroxyvitamin D2 and D3. In addition to highlighting potential interferences, the many non-analytical factors that influence vitamin D measurement are also discussed.
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Affiliation(s)
- Loretta Ford
- Department of Clinical Biochemistry, City Hospital, Birmingham, UK
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