Literature DB >> 17209132

Associations of catalase gene polymorphisms with bone mineral density and bone turnover markers in postmenopausal women.

Bermseok Oh, Shin-Yoon Kim, Duk Jae Kim, Jong Yong Lee, Jong-Keuk Lee, Kuchan Kimm, Byung Lae Park, Hyoung Doo Shin, Tae-Ho Kim, Eui Kyun Park, Jung-Min Koh, Ghi Su Kim.   

Abstract

BACKGROUND: Oxidative stress has been recently suggested to play a part in the development of osteoporosis. Catalase is a major antioxidant enzyme that detoxifies hydrogen peroxide by converting it into water and oxygen, thereby preventing cellular injury by oxidative stress. AIMS: To examine the associations between the catalase gene (CAT) polymorphisms and bone mineral density (BMD) and bone turnover markers in postmenopausal Korean women.
METHODS: All exons, their boundaries and the promoter region (approximately 1.5 kb) were directly sequenced in 24 individuals. Among 18 variants identified by a direct sequence method, four polymorphisms were selected and genotyped in all study participants (n = 560). BMD at the lumbar spine and proximal femur was measured using dual-energy x ray absorptiometry. Serum osteocalcin concentrations and bone-specific alkaline phosphatase activity were determined by an immunoradiometric assay and an immunoassay, respectively.
RESULTS: The mean (standard deviation) age of the participants was 59.4 (7.2) years. Multivariate analysis showed an association of the +22348C-->T polymorphism with BMD at the lumbar spine (p = 0.01 in the dominant model) and at femur neck (p = 0.05 in the dominant model), and with serum osteocalcin level (p = 0.008 in the dominant model). Haplotype analyses showed that HT4 (-20T, +144C, +22348T, +33078A) was significantly associated with higher BMD at various sites (p<0.001-0.03) and with lower serum osteocalcin levels (p = 0.01 in the codominant model).
CONCLUSIONS: These findings indicate that the +22348C-->T polymorphism and HT4 of CAT may be useful genetic markers for bone metabolism.

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Year:  2007        PMID: 17209132      PMCID: PMC2597917          DOI: 10.1136/jmg.2006.042259

Source DB:  PubMed          Journal:  J Med Genet        ISSN: 0022-2593            Impact factor:   6.318


  29 in total

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