Relationship Between the Single Nucleotide Polymorphism rs11558471 in the SLC30A8/ZnT8 Gene and Cardiometabolic Markers in Postmenopausal Women.
Sheila Kely Santos da CostaJamylle Araújo AlmeidaLiliane Viana PiresPaula Nascimento Brandão-LimaMarcelo Macedo RogeroRaquel Simões Mendes-NettoPublished in: Biological trace element research (2022)
Postmenopausal women have more risk factors for metabolic syndrome, and genetic alterations in SLC30A8 (zinc transporter 8 [ZnT8]) are directly related to these factors. Our aim was to assess the relationship of the single nucleotide polymorphism (SNP) rs11558471 in the SLC30A8/ZnT8 gene with cardiometabolic markers in postmenopausal women. This cross-sectional study included 53 postmenopausal women divided into two groups according to the SNP genotype (AG + GG [n = 25] and AA [n = 28]). Anthropometric, dietary, and biochemical (glycemic, lipidic, hepatic, renal, and hormonal markers) variables were evaluated and compared between groups. No differences in glycemic, hepatic, renal, and hormonal markers were found between groups. However, the group with the polymorphic allele (AG + GG) had a better lipid profile than non-carriers (total cholesterol, p = 0.041; low-density lipoprotein cholesterol [LDL-c], p = 0.035; non-high-density lipoprotein cholesterol [non-HDL-c], p = 0.043). Logistic regression showed that the group with polymorphic allele had lower chances of increasing levels of LDL-c (odds ratio [OR] = 0.225, p = 0.012) and non-HDL-c (OR = 0.316, p = 0.045). After adjusting for age, body mass index, physical activity, and use of diabetes and dyslipidemia drugs, only LDL-c remained associated (OR = 0.218; p = 0.017). The variant allele of SNP rs11558471 in the SLC30A8 gene was associated with better LDL-c levels, which helps reduce the risks for cardiovascular diseases in postmenopausal women.
Keyphrases
- postmenopausal women
- genome wide
- bone mineral density
- body mass index
- type diabetes
- low density lipoprotein
- copy number
- physical activity
- dna methylation
- metabolic syndrome
- cardiovascular disease
- quantum dots
- high density
- body composition
- genome wide identification
- polycystic ovary syndrome
- cardiovascular risk factors
- insulin resistance
- adipose tissue
- risk assessment
- human health
- depressive symptoms
- genome wide analysis
- climate change
- transcription factor