Department of Environmental Health and Occupational Medicine, School of Public Health, Guilin Medical University, The Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Heath, Zhiyuan Road No.1, Guilin, Guangxi province, 541199, PR China.
Guangzhou Huashang Vocational College, No.1 Huashang Road, Lihu Street, Zengcheng District, Guangzhou, Guangdong Province, 511300, China.
BMC Med Genomics. 2023 Aug 29;16(1):206. doi: 10.1186/s12920-023-01632-6.
To analyze the relationship between plasma metal elements, ApoE gene polymorphisms and the interaction between the two and impaired cognitive function in elderly population.
A stratified sample was drawn according to the age of the study population, and 911 subjects were included. Baseline information and health indicators were obtained, and cognitive function status was assessed by health examination, a general questionnaire and Mini-Mental Status Examination. Plasma metal elements were measured, and SNP typing was performed. Binary logistic regression was used to analyze the factors influencing cognitive function status and the association between the SNP genetic pattern of the ApoE gene and cognitive function.
The differences in gene frequencies and genotype frequencies of the ApoE rs7412 and rs7259620 genotype frequencies were statistically different between the cognitive impairment group and the control group (P < 0.05). statistically differences were found for the codominant model in rs7412-TT compared with the CC genotype (OR = 3.112 (1.159-8.359), P = 0.024) and rs7259620-AA compared with the GG genotype (OR = 1.588 (1.007-2.504), P = 0.047). Statistically differences were found in the recessive models rs7412-TT compared with (CC + CT) (OR = 2.979 (1.112-7.978), P = 0.030), rs7259620-AA compared with (GG + GA), and rs405509-GG compared with (TT + TG) (OR = 1.548(1.022-2.344), P = 0.039) all of which increased the risk of developing cognitive impairment. The differences in plasma Fe, Cu, and Rb concentrations between the case and control groups were significant (P < 0.05). The regression results showed that the plasma Cd concentrations in the Q1 range was a protective factor for cognitive function compared with Q4 (0.510 (0.291-0.892), P = 0.018). Furthermore, there was a multiplicative interaction between the codominant and recessive models for the Q2 concentrations of Cd and the rs7259620 loci, and the difference was significant, indicating increased risk of developing cognitive impairment (codominant model OR = 3.577 (1.496-8.555), P = 0.004, recessive model OR = 3.505 (1.479-8.307), P = 0.004). There was also a multiplicative interaction between Cd and the recessive model at the rs405509 loci, and the difference was significant, indicating increased risk of developing cognitive impairment (OR = 3.169 (1.400-7.175), P = 0.006).
The ApoE rs7412, rs7259620 and rs405509 loci were associated with cognitive impairment in the elderly population, and there was an interaction between plasma metalloid Cd and the rs7259620 and rs405509 loci that increased the risk of cognitive impairment in the elderly population.
分析血浆金属元素、载脂蛋白 E 基因多态性及其相互作用与老年人群认知功能障碍的关系。
按照研究人群的年龄进行分层抽样,共纳入 911 例研究对象。收集基线信息和健康指标,通过健康体检、一般问卷和简易精神状态检查评估认知功能状况。检测血浆金属元素,进行 SNP 分型。采用二元 logistic 回归分析影响认知功能状况的因素,以及载脂蛋白 E 基因 SNP 遗传模式与认知功能的关系。
认知障碍组和对照组的载脂蛋白 E rs7412 和 rs7259620 基因型频率的基因频率和基因型频率差异有统计学意义(P<0.05)。在 rs7412-TT 与 CC 基因型的显性模型中,差异有统计学意义(OR=3.112(1.159-8.359),P=0.024)和 rs7259620-AA 与 GG 基因型的显性模型中,差异有统计学意义(OR=1.588(1.007-2.504),P=0.047)。在隐性模型 rs7412-TT 与(CC+CT)(OR=2.979(1.112-7.978),P=0.030),rs7259620-AA 与(GG+GA)和 rs405509-GG 与(TT+TG)(OR=1.548(1.022-2.344),P=0.039)中,差异有统计学意义,均增加了认知障碍的发病风险。病例组和对照组之间血浆 Fe、Cu 和 Rb 浓度差异有统计学意义(P<0.05)。回归结果显示,与 Q4 相比,Q1 范围的血浆 Cd 浓度是认知功能的保护因素(0.510(0.291-0.892),P=0.018)。此外,在 Cd 的 Q2 浓度与 rs7259620 位点的显性和隐性模型之间存在乘法交互作用,差异有统计学意义,表明认知障碍发病风险增加(显性模型 OR=3.577(1.496-8.555),P=0.004,隐性模型 OR=3.505(1.479-8.307),P=0.004)。在 Cd 与 rs405509 位点的隐性模型之间也存在乘法交互作用,差异有统计学意义,表明认知障碍发病风险增加(OR=3.169(1.400-7.175),P=0.006)。
载脂蛋白 E rs7412、rs7259620 和 rs405509 位点与老年人群认知障碍有关,血浆类金属元素 Cd 与 rs7259620 和 rs405509 位点的隐性模型之间存在交互作用,增加了老年人群认知障碍的发病风险。