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Zhang Y, Chen S, Tian X, Xu Q, Xia X, Zhang X, Li J, Wu S, Wang A. Elevated atherogenic index of plasma associated with stroke risk in general Chinese. Endocrine 2024; 84:934-942. [PMID: 38197990 DOI: 10.1007/s12020-023-03677-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 12/26/2023] [Indexed: 01/11/2024]
Abstract
BACKGROUND AND AIMS The atherogenic index of plasma (AIP) is supposed to be associated with cardiovascular disease (CVD), but there is limited evidence on its longitudinal effect. Our study aimed to explore the associations between baseline and long-term AIP with the risk of stroke and its subtypes. METHODS AND RESULTS A total of 97,959 participants free of stroke at baseline were included in the Kailuan study. The AIP was calculated as the logarithm of the ratio of triglyceride to high-density lipoprotein cholesterol. The updated mean AIP was calculated as the average of the AIP from baseline to the first occurrence of outcome or the end of follow-up. The outcome was the first occurrence of stroke, including ischemic stroke (IS) and intracerebral hemorrhage (ICH). We used univariable and multivariable Cox proportional hazard models to explore the association between AIP and the risk of stroke. During a median follow-up of 12.79 years, a total of 6307 participants developed stroke, including 5482 IS and 1024 ICH. Compared with the 1st quartile of baseline AIP, the multivariate-adjusted HR in the 4th quartile was 1.12 (95% CI, 1.03-1.22, p for trend <0.001) for stroke risk. Same results were found in IS, but no significant association was found for ICH. The associations between updated mean AIP and stroke and its subtypes showed similar results. CONCLUSIONS Elevated levels of both baseline and long-term updated mean AIP were associated with the risk of stroke and IS but not ICH in the general population.
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Affiliation(s)
- Yijun Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Epidemiology and Clinical Trial, Capital Medical University, Beijing, China
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Xue Tian
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Epidemiology and Clinical Trial, Capital Medical University, Beijing, China
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Qin Xu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Epidemiology and Clinical Trial, Capital Medical University, Beijing, China
| | - Xue Xia
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Epidemiology and Clinical Trial, Capital Medical University, Beijing, China
| | - Xiaoli Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Epidemiology and Clinical Trial, Capital Medical University, Beijing, China
| | - Jing Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Epidemiology and Clinical Trial, Capital Medical University, Beijing, China
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China.
| | - Anxin Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
- Department of Clinical Epidemiology and Clinical Trial, Capital Medical University, Beijing, China.
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Zhang F, Peng H, Fu C, Deng Y, Zhang M, Li W, Zhong J, Zhou Q, Huang L, Xiao S, Zhao J. Association Between HTRA1, GAS6 and IFNGR2 Gene Polymorphisms and Stroke Susceptibility in the Chinese Han Population. Pharmgenomics Pers Med 2023; 16:717-727. [PMID: 37441189 PMCID: PMC10335315 DOI: 10.2147/pgpm.s408911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 06/20/2023] [Indexed: 07/15/2023] Open
Abstract
Background Stroke has a high disability rate, and 30% of stroke cases have an unknown cause. Accurate diagnosis and treatment of stroke requires consideration of several rare heritable and non-heritable factors. Objective This study aimed to evaluate the impacts of three genetic polymorphisms (rs369149111 in HTRA1, rs1803628 in GAS6 and rs9808753 in IFNGR2) on stroke susceptibility among the Chinese Han population. Methods Three single nucleotide polymorphisms (SNPs) from 623 stroke cases and 572 healthy controls were genotyped by the Agena MassARRAY platform. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated by logistic regression analysis to evaluate the associations of three SNPs with stroke susceptibility. Additionally, SNP-SNP interactions were analyzed by multifactor dimensionality reduction (MDR). Results As demonstrated by the overall analysis, rs9808753 in IFNGR2 (allele: OR = 1.25, 95% CI = 1.06-1.47, p = 0.007; homozygous: OR = 1.59, 95% CI = 1.14-2.23, p = 0.007; dominant: OR = 1.31, 95% CI = 1.02-1.67, p = 0.032; recessive: OR = 1.42, 95% CI = 1.05-1.91, p = 0.022; additive: OR = 1.26, 95% CI = 1.07-1.48, p = 0.007) was associated with an increased susceptibility to stroke. Besides, stratification analysis suggested that rs9808753 was associated with an increased risk of stroke in subgroup aged ≤ 64 years, males and drinkers (p < 0.05). And rs1803628 in GAS6 was significantly associated with an increased susceptibility to stroke in non-smokers (p < 0.05). Conclusion A risk-increasing effect of IFNGR2 rs980875 on stroke was detected in this study, which further broadens the understanding of the relationship between genetic polymorphisms and stroke susceptibility.
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Affiliation(s)
- Fan Zhang
- Department of Cerebrovascular Disease, Hainan Affiliated Hospital of Hainan Medical University, Hainan General Hospital, Haikou, Hainan, 570311, People’s Republic of China
| | - Hao Peng
- Department of Cerebrovascular Disease, Hainan Affiliated Hospital of Hainan Medical University, Hainan General Hospital, Haikou, Hainan, 570311, People’s Republic of China
| | - Chuanyi Fu
- Department of Cerebrovascular Disease, Hainan Affiliated Hospital of Hainan Medical University, Hainan General Hospital, Haikou, Hainan, 570311, People’s Republic of China
| | - Yidong Deng
- Department of Cerebrovascular Disease, Hainan Affiliated Hospital of Hainan Medical University, Hainan General Hospital, Haikou, Hainan, 570311, People’s Republic of China
| | - Mao Zhang
- Department of Cerebrovascular Disease, Hainan Affiliated Hospital of Hainan Medical University, Hainan General Hospital, Haikou, Hainan, 570311, People’s Republic of China
| | - Wenan Li
- Department of Cerebrovascular Disease, Hainan Affiliated Hospital of Hainan Medical University, Hainan General Hospital, Haikou, Hainan, 570311, People’s Republic of China
| | - Jian Zhong
- Department of Cerebrovascular Disease, Hainan Affiliated Hospital of Hainan Medical University, Hainan General Hospital, Haikou, Hainan, 570311, People’s Republic of China
| | - Qing Zhou
- Department of Cerebrovascular Disease, Hainan Affiliated Hospital of Hainan Medical University, Hainan General Hospital, Haikou, Hainan, 570311, People’s Republic of China
| | - Li Huang
- Department of Cerebrovascular Disease, Hainan Affiliated Hospital of Hainan Medical University, Hainan General Hospital, Haikou, Hainan, 570311, People’s Republic of China
| | - Shuli Xiao
- Department of Cerebrovascular Disease, Hainan Affiliated Hospital of Hainan Medical University, Hainan General Hospital, Haikou, Hainan, 570311, People’s Republic of China
| | - Jiannong Zhao
- Department of Neurosurgery, Hainan Medical University, Hainan Affiliated Hospital of Hainan Medical University, Hainan General Hospital, Haikou, Hainan, 571199, People’s Republic of China
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