Association of Common Variants of APOE, CETP, and the 9p21.3 Chromosomal Region with the Risk of Myocardial Infarction: A Prospective Study

Semaev, Sergey; Shakhtshneider, E.; Щербакова, Л. В.; Орлов, П. С.; Ivanoshchuk, D.; Malyutina, Sofia; Гафаров, В. В.; Воевода, М. И.; Ragino, Yu. I.

doi:10.3390/ijms241310908

Cited by 5 publications

(4 citation statements)

References 37 publications

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“…The ε3 allele was observed in 77.8% of individuals, the ε4 allele in 13.2% and the ε2 allele in 9%. Our data are in agreement with the results of researchers from around the world [ 12 , 14 , 15 ] as well as from domestic researchers [ 4 , 35 ]. For example, 70.4% had the ε3/ε3 genotype, 9% had the ε3/ε4 genotype, and 6% had the ε2/ε3 genotype, according to I.B.…”

Section: Discussionsupporting

confidence: 92%

“…The results of a recent review conducted by J. Alagarsamy et al showed that population studies revealed the association between APOE polymorphisms with increased risk of coronary and perivascular diseases [ 3 ]. In our recent study, we revealed a significant association of the ε2ε4 genotype of the APOE gene with MI ( p < 0.0001) [ 4 ], in agreement with the results of the review performed by J. Alagarsamy et al [ 3 ]. In 2021, A. Serrano-Pozo et al performed an analysis, confirming that the APOE ε4 allele is a genetic risk factor for sporadic Alzheimer’s disease [ 5 ].…”

Section: Introductionsupporting

confidence: 90%

“…The current view is that depression is a consequence of the interaction between genetic factors and environmental risk factors [ 2 ]. One of the risk factors for depression is the APOE gene, a number of variants of which have been associated with the development of atherosclerosis and cardiovascular disease, as well as with the development of neurodegenerative disorders and brain pathology [ 3 , 4 , 5 , 6 ]. The results of a recent review conducted by J. Alagarsamy et al showed that population studies revealed the association between APOE polymorphisms with increased risk of coronary and perivascular diseases [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

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Association of the APOE Gene Polymorphism with Depression in White Adults in the WHO “MONICA-Psychosocial” Program

Gafarov,

Gromova,

Shakhtshneider

et al. 2023

JPM

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The APOE gene polymorphism is associated with the risk of the development of several neurological disorders. The aim of the study was to investigate the association of the APOE gene polymorphism with depression in the white adult population aged 25–64 years in Novosibirsk (Western Siberia). The third screening of the WHO program “MONICA-psychosocial” was conducted in 1994–1995. In total, 403 men (the average age was 34 ± 0.4 years, the response was 71%) and 531 women (the average age was 35 ± 0.4 years, the response was 72%) of the open population of residents aged 25–64 years of the Oktyabrsky district of Novosibirsk were examined. The “MONICA-MOPSY” psychosocial questionnaire was used to assess depression. A high level of depression was found in 12.8% of the population: in 8.9% of men and in 15.8% of women. The frequencies of APOE gene polymorphism genotypes ε2/3, ε2/4, ε3/3, ε3/4, and ε4/4 were 14.9%, 3.1%, 61.6%, 17.5%, and 2.9%, respectively. Carrying the ε3/4 genotype of the APOE gene increased the odds of developing major depression by 2.167 times (95% CI 1.100–4.266) compared to carrying the ε3/3 genotype of the APOE gene in people without depression (χ2 = 5.120 df = 1 p = 0.024). Carriers of the ε4 allele were 2.089 times (95% CI 1.160–3.761) more likely to have a high level of depression than those without this allele and no depression (χ2 = 6.148 df = 1 p = 0.013), and 2.049 times (95% CI 1.117–3.758) more likely to have a moderate level of depression than those without this allele (χ2 = 5.470 df = 1 p < 0.019). The ε4 allele of the APOE gene is associated with a high level of depression.

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Section: Discussionsupporting

confidence: 92%

Section: Introductionsupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

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Association of the APOE Gene Polymorphism with Depression in White Adults in the WHO “MONICA-Psychosocial” Program

Gafarov,

Gromova,

Shakhtshneider

et al. 2023

JPM

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“…Abnormal mutations in specific coagulation factors, such as fibrinogen ( FGA , FGB , FGG) ( 33 ), F2 ( 34 ), F5 ( 34 ), F7 ( 35 ), VWF ( 36 ), as well as genes in the fibrinolytic system like PLAT ( 37 ), and SERPINE1 ( 38 ), can lead to abnormal thrombosis or the formation of thrombi that are challenging to dissolve, subsequently increasing the risk of MI. Furthermore, genetic variants related to lipid metabolism and the inflammatory response are closely associated with the risk of MI, such as APOE rs7412 ( 39 ), CETP rs429358 ( 39 ), LPL rs328 ( 40 ), IL-6 rs1800795 ( 41 ), and TNF rs1800629 ( 42 ). These genetic variations can influence multiple biological processes, including cholesterol metabolism, vascular inflammation, plaque formation, and more, thereby increasing the risk of MI ( 43 – 45 ).…”

Section: Single-omics Approachesmentioning

confidence: 99%

From multi-omics approaches to personalized medicine in myocardial infarction

Zhan,

Tang,

et al. 2023

Front. Cardiovasc. Med.

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Myocardial infarction (MI) is a prevalent cardiovascular disease characterized by myocardial necrosis resulting from coronary artery ischemia and hypoxia, which can lead to severe complications such as arrhythmia, cardiac rupture, heart failure, and sudden death. Despite being a research hotspot, the etiological mechanism of MI remains unclear. The emergence and widespread use of omics technologies, including genomics, transcriptomics, proteomics, metabolomics, and other omics, have provided new opportunities for exploring the molecular mechanism of MI and identifying a large number of disease biomarkers. However, a single-omics approach has limitations in understanding the complex biological pathways of diseases. The multi-omics approach can reveal the interaction network among molecules at various levels and overcome the limitations of the single-omics approaches. This review focuses on the omics studies of MI, including genomics, epigenomics, transcriptomics, proteomics, metabolomics, and other omics. The exploration extended into the domain of multi-omics integrative analysis, accompanied by a compilation of diverse online resources, databases, and tools conducive to these investigations. Additionally, we discussed the role and prospects of multi-omics approaches in personalized medicine, highlighting the potential for improving diagnosis, treatment, and prognosis of MI.

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