ApoE gene polymorphisms and metals and their interactions with cognitive function
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 in...
| Main Authors: | , , , , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2023-08-01
|
| Series: | BMC Medical Genomics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12920-023-01632-6 |
| _version_ | 1797451143395147776 |
|---|---|
| author | 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 |
| author_facet | 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 |
| author_sort | Zeyan Ye |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T14:50:34Z |
| format | Article |
| id | doaj.art-a597889c12a946ff89afddb99ace56e2 |
| institution | Directory Open Access Journal |
| issn | 1755-8794 |
| language | English |
| last_indexed | 2024-03-09T14:50:34Z |
| publishDate | 2023-08-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Medical Genomics |
| spelling | doaj.art-a597889c12a946ff89afddb99ace56e22023-11-26T14:30:06ZengBMCBMC Medical Genomics1755-87942023-08-0116111110.1186/s12920-023-01632-6ApoE gene polymorphisms and metals and their interactions with cognitive functionZeyan Ye0Dechan Tan1Tingyu Luo2Ruoyu Gou3Jianshen Cai4Yanfei Wei5Kailian He6Song Xiao7Tingyu Mai8Xu Tang9Qiumei Liu10Xiaoting Mo11Yinxia Lin12Shenxiang Huang13You Li14Jian Qin15Zhiyong Zhang16Department of Environmental Health and Occupational Medicine, School of Public Health, Guilin Medical University, The Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle HeathGuangzhou Huashang Vocational CollegeDepartment of Environmental Health and Occupational Medicine, School of Public Health, Guilin Medical University, The Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle HeathSchool of Public Health, Ningxia Medical UniversityDepartment of Environmental and Occupational Health, Guangxi Medical UniversityDepartment of Environmental and Occupational Health, Guangxi Medical UniversityDepartment of Environmental Health and Occupational Medicine, School of Public Health, Guilin Medical University, The Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle HeathDepartment of Environmental Health and Occupational Medicine, School of Public Health, Guilin Medical University, The Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle HeathDepartment of Environmental Health and Occupational Medicine, School of Public Health, Guilin Medical University, The Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle HeathDepartment of Environmental and Occupational Health, Guangxi Medical UniversityDepartment of Environmental and Occupational Health, Guangxi Medical UniversityDepartment of Environmental and Occupational Health, Guangxi Medical UniversityDepartment of Environmental and Occupational Health, Guangxi Medical UniversityDepartment of Environmental and Occupational Health, Guangxi Medical UniversityDepartment of Environmental Health and Occupational Medicine, School of Public Health, Guilin Medical University, The Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle HeathDepartment of Environmental Health and Occupational Medicine, School of Public Health, Guilin Medical University, The Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle HeathDepartment of Environmental Health and Occupational Medicine, School of Public Health, Guilin Medical University, The Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle HeathAbstract 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.https://doi.org/10.1186/s12920-023-01632-6Apolipoprotein EApoE gene polymorphismMetallic elementsCognitive function |
| spellingShingle | 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 ApoE gene polymorphisms and metals and their interactions with cognitive function BMC Medical Genomics Apolipoprotein E ApoE gene polymorphism Metallic elements 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 | Apolipoprotein E ApoE gene polymorphism Metallic elements Cognitive function |
| url | https://doi.org/10.1186/s12920-023-01632-6 |
| work_keys_str_mv | AT zeyanye apoegenepolymorphismsandmetalsandtheirinteractionswithcognitivefunction AT dechantan apoegenepolymorphismsandmetalsandtheirinteractionswithcognitivefunction AT tingyuluo apoegenepolymorphismsandmetalsandtheirinteractionswithcognitivefunction AT ruoyugou apoegenepolymorphismsandmetalsandtheirinteractionswithcognitivefunction AT jianshencai apoegenepolymorphismsandmetalsandtheirinteractionswithcognitivefunction AT yanfeiwei apoegenepolymorphismsandmetalsandtheirinteractionswithcognitivefunction AT kailianhe apoegenepolymorphismsandmetalsandtheirinteractionswithcognitivefunction AT songxiao apoegenepolymorphismsandmetalsandtheirinteractionswithcognitivefunction AT tingyumai apoegenepolymorphismsandmetalsandtheirinteractionswithcognitivefunction AT xutang apoegenepolymorphismsandmetalsandtheirinteractionswithcognitivefunction AT qiumeiliu apoegenepolymorphismsandmetalsandtheirinteractionswithcognitivefunction AT xiaotingmo apoegenepolymorphismsandmetalsandtheirinteractionswithcognitivefunction AT yinxialin apoegenepolymorphismsandmetalsandtheirinteractionswithcognitivefunction AT shenxianghuang apoegenepolymorphismsandmetalsandtheirinteractionswithcognitivefunction AT youli apoegenepolymorphismsandmetalsandtheirinteractionswithcognitivefunction AT jianqin apoegenepolymorphismsandmetalsandtheirinteractionswithcognitivefunction AT zhiyongzhang apoegenepolymorphismsandmetalsandtheirinteractionswithcognitivefunction |