Evidence map›Paper›PMID 37644506›Full record

ArticleBMC medical genomics2023

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 and 7 more

Abstract read
In one paragraph

Article in BMC medical genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Zeyan Ye *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.
Dechan Tan *Guangzhou Huashang Vocational College, No.1 Huashang Road, Lihu Street, Zengcheng District, Guangzhou, Guangdong Province, 511300, China.
Tingyu LuoDepartment 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.
Ruoyu GouSchool of Public Health, Ningxia Medical University, Yinchuan, Ningxia, 750004, China.
Jianshen CaiDepartment of Environmental and Occupational Health, Guangxi Medical University, Nanning, 530021, China.
Yanfei WeiDepartment of Environmental and Occupational Health, Guangxi Medical University, Nanning, 530021, China.
Kailian HeDepartment 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.
Song XiaoDepartment 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.
Tingyu MaiDepartment 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.
Xu TangDepartment of Environmental and Occupational Health, Guangxi Medical University, Nanning, 530021, China.
Qiumei LiuDepartment of Environmental and Occupational Health, Guangxi Medical University, Nanning, 530021, China.
Xiaoting MoDepartment of Environmental and Occupational Health, Guangxi Medical University, Nanning, 530021, China.
Yinxia LinDepartment of Environmental and Occupational Health, Guangxi Medical University, Nanning, 530021, China.
Shenxiang HuangDepartment of Environmental and Occupational Health, Guangxi Medical University, Nanning, 530021, China.
You LiDepartment 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.
Jian QinDepartment 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. qinjian@gxmu.edu.cn.
Zhiyong ZhangDepartment 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. rpazz@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyze the relationship between plasma metal elements, ApoE gene polymorphisms and the interaction between the two and impaired cognitive function in elderly population.

methodA 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.

resultsThe 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).

conclusionThe 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.

Indexed as

CadmiumCognitive DysfunctionAgedApolipoproteins ECognitionHumansPolymorphism, GeneticApolipoproteins ECadmiumApoE gene polymorphismApolipoprotein ECognitive functionMetallic elements

Identifiers

PMID37644506
PMCPMC10466837

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.