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Vitamin D-binding protein and its polymorphisms as a predictor for metabolic syndrome
- Aim: To investigate the relationship of vitamin D-binding protein (GC) and genetic variation of GC (rs4588, rs7041 and rs2282679) with metabolic syndrome (MetS) in the Thai population. Materials & methods: GCglobulin concentrations were measured by quantitative western blot analysis in 401 adults. All participants were genotyped using TaqMan allelic discrimination assays. Results: GC-globulin levels were significatly lower in MetS subjects than in control subjects, in which significant negative correlations of GC-globulin levels with systolic blood pressure, glucose and age were found. Male participants who carried the GT genotype for rs4588 showed an increased risk of MetS compared with the GG wild-type (odds ratio: 3.25; p = 0.004). Conclusion: GC-globulin concentrations and variation in GC rs4588 were supported as a risk factor for MetS in Thais.
Author details: | Piyaporn Karuwanarint, Benjaluck Phonrat, Anchalee Tungtrongchitr, Kanjana Suriyaprom, Somlak Chuengsamarn, Florian J. SchweigertORCiDGND, Rungsunn Tungtrongchitr |
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DOI: | https://doi.org/10.2217/bmm-2018-0029 |
ISSN: | 1752-0363 |
ISSN: | 1752-0371 |
Pubmed ID: | https://pubmed.ncbi.nlm.nih.gov/29504805 |
Title of parent work (English): | Biomarkers in medicine |
Publisher: | Future Medicine |
Place of publishing: | London |
Publication type: | Article |
Language: | English |
Date of first publication: | 2018/03/05 |
Publication year: | 2018 |
Release date: | 2021/12/03 |
Tag: | GC gene; GC-globulin; Thai population; metabolic syndrome; polymorphism; vitamin D-binding protein |
Volume: | 12 |
Issue: | 5 |
Number of pages: | 9 |
First page: | 465 |
Last Page: | 473 |
Funding institution: | Thailand Research Fund through the Royal Golden Jubilee PhD ProgramThailand Research Fund (TRF) [PHD/0033/2556] |
Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Biochemie und Biologie |
Mathematisch-Naturwissenschaftliche Fakultät / Institut für Ernährungswissenschaft | |
DDC classification: | 6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit |
Peer review: | Referiert |