BMC Medical Genomics (Aug 2023)

ApoE gene polymorphisms and metals and their interactions with cognitive function

  • Zeyan Ye,
  • Dechan Tan,
  • Tingyu Luo,
  • Ruoyu Gou,
  • Jianshen Cai,
  • Yanfei Wei,
  • Kailian He,
  • Song Xiao,
  • Tingyu Mai,
  • Xu Tang,
  • Qiumei Liu,
  • Xiaoting Mo,
  • Yinxia Lin,
  • Shenxiang Huang,
  • You Li,
  • Jian Qin,
  • Zhiyong Zhang

DOI
https://doi.org/10.1186/s12920-023-01632-6
Journal volume & issue
Vol. 16, no. 1
pp. 1 – 11

Abstract

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Abstract Objective To analyze the relationship between plasma metal elements, ApoE gene polymorphisms and the interaction between the two and impaired cognitive function in elderly population. Method 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. Results 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). Conclusion 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.

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