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ApoE gene polymorphisms and metals and their interactions with cognitive function

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....

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Autores principales: Ye, Zeyan, Tan, Dechan, Luo, Tingyu, Gou, Ruoyu, Cai, Jianshen, Wei, Yanfei, He, Kailian, Xiao, Song, Mai, Tingyu, Tang, Xu, Liu, Qiumei, Mo, Xiaoting, Lin, Yinxia, Huang, Shenxiang, Li, You, Qin, Jian, Zhang, Zhiyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10466837/
https://www.ncbi.nlm.nih.gov/pubmed/37644506
http://dx.doi.org/10.1186/s12920-023-01632-6
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author Ye, Zeyan
Tan, Dechan
Luo, Tingyu
Gou, Ruoyu
Cai, Jianshen
Wei, Yanfei
He, Kailian
Xiao, Song
Mai, Tingyu
Tang, Xu
Liu, Qiumei
Mo, Xiaoting
Lin, Yinxia
Huang, Shenxiang
Li, You
Qin, Jian
Zhang, Zhiyong
author_facet Ye, Zeyan
Tan, Dechan
Luo, Tingyu
Gou, Ruoyu
Cai, Jianshen
Wei, Yanfei
He, Kailian
Xiao, Song
Mai, Tingyu
Tang, Xu
Liu, Qiumei
Mo, Xiaoting
Lin, Yinxia
Huang, Shenxiang
Li, You
Qin, Jian
Zhang, Zhiyong
author_sort Ye, Zeyan
collection PubMed
description 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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spelling pubmed-104668372023-08-31 ApoE gene polymorphisms and metals and their interactions with cognitive function Ye, Zeyan Tan, Dechan Luo, Tingyu Gou, Ruoyu Cai, Jianshen Wei, Yanfei He, Kailian Xiao, Song Mai, Tingyu Tang, Xu Liu, Qiumei Mo, Xiaoting Lin, Yinxia Huang, Shenxiang Li, You Qin, Jian Zhang, Zhiyong BMC Med Genomics Research 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. BioMed Central 2023-08-29 /pmc/articles/PMC10466837/ /pubmed/37644506 http://dx.doi.org/10.1186/s12920-023-01632-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Ye, Zeyan
Tan, Dechan
Luo, Tingyu
Gou, Ruoyu
Cai, Jianshen
Wei, Yanfei
He, Kailian
Xiao, Song
Mai, Tingyu
Tang, Xu
Liu, Qiumei
Mo, Xiaoting
Lin, Yinxia
Huang, Shenxiang
Li, You
Qin, Jian
Zhang, Zhiyong
ApoE gene polymorphisms and metals and their interactions with cognitive function
title ApoE gene polymorphisms and metals and their interactions with cognitive function
title_full ApoE gene polymorphisms and metals and their interactions with cognitive function
title_fullStr ApoE gene polymorphisms and metals and their interactions with cognitive function
title_full_unstemmed ApoE gene polymorphisms and metals and their interactions with cognitive function
title_short ApoE gene polymorphisms and metals and their interactions with cognitive function
title_sort apoe gene polymorphisms and metals and their interactions with cognitive function
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10466837/
https://www.ncbi.nlm.nih.gov/pubmed/37644506
http://dx.doi.org/10.1186/s12920-023-01632-6
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