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Culleton S, Niu M, Alexander M, McNally JS, Yuan C, Parker D, Baradaran H. Extracranial carotid artery atherosclerotic plaque and APOE polymorphisms: a systematic review and meta-analysis. Front Cardiovasc Med 2023; 10:1155916. [PMID: 38034385 PMCID: PMC10683092 DOI: 10.3389/fcvm.2023.1155916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 10/17/2023] [Indexed: 12/02/2023] Open
Abstract
Introduction Carotid atherosclerotic plaque is an important independent risk factor for stroke. Apolipoprotein E (APOE) influences cholesterol levels and certain isoforms are associated with increased carotid atherosclerosis, though the exact association between APOE and carotid plaque is uncertain. The study aimed to evaluate the association between APOE and carotid plaque. Methods A systematic review was performed to retrieve all studies which examined the association between carotid plaque and APOE. This study was conducted in accordance with the PRISMA guidelines. Independent readers extracted the relevant data from each study including the type of imaging assessment, plaque definition, frequency of APOE E4 carrier status and type of genotyping. Meta-analyses with an assessment of study heterogeneity and publication bias were performed. Results were presented in a forest plot and summarized using a random-effects model. Results After screening 838 studies, 17 studies were included for systematic review. A meta-analysis of 5 published studies showed a significant association between ε4 homozygosity and carotid plaque [odds ratio (OR), 1.53; 95% CI, 1.16, 2.02; p = .003]. Additionally, there was a significant association between patients possessing at least one ε4 allele, heterozygotes or homozygotes, and carotid plaque (OR, 1.25; 95% CI, 1.03, 1.52; p = .03). Lastly, there was no association between ε4 heterozygosity and carotid plaque (OR, 1.08; 95% CI, 0.93, 1.26; p = .30). Conclusion APOE ε4 allele is significantly associated with extracranial carotid atherosclerotic plaque, especially for homozygous individuals.
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Affiliation(s)
- Sinéad Culleton
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake, UT, United States
| | - Mary Niu
- Department of Pediatrics, University of Utah, Salt Lake, UT, United States
| | - Matthew Alexander
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake, UT, United States
| | - J. Scott McNally
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake, UT, United States
| | - Chun Yuan
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake, UT, United States
| | - Dennis Parker
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake, UT, United States
| | - Hediyeh Baradaran
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake, UT, United States
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Li XL, Wang Q, Jia GD, Yin HJ, Wang YH, Hu C, Wang XQ, Yang Y. Apolipoprotein E*Ɛ2 carriers exhibit high aspirin-treated platelet reactivity and low cardiovascular risk during long-term aspirin treatment. Age Ageing 2022; 51:6596556. [PMID: 35647761 DOI: 10.1093/ageing/afac119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 03/30/2022] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVE Apolipoprotein E (APOE) loci, including rs429358 (Ɛ4) and rs7412 (Ɛ2), are involved in cardiovascular (CV) health. However, their effect on the CV-protective effect of aspirin remains unknown. METHODS A total of 515 aspirin-treated individuals with existing CV diseases were recruited, and their APOE genotypes, platelet functions and other routine laboratory parameters were assessed when they enrolled. The first major CV events (myocardial infarction, stroke, revascularisation and CV death) and all CV events (major CV events plus unstable angina and transient ischaemic attack) during a mean 5.2-year follow-up period were recorded. RESULTS After adjusting for age, gender, BMI, lifestyle, lipid profiles and other CV drugs and comorbidities, Ɛ2 carriers were found to exhibit ~80% lower risk of major CV and 60% lower risk of all CV (HR = 0.186, CI: 0.048-0.715, P = 0.014; HR = 0.435, CI: 0.234-0.812, P = 0.009, respectively) than Ɛ2 noncarriers. Furthermore, high incidence of high platelet reactivity assessed by arachidonic acid-induced light transmission aggregometry (23.4 vs. 13.7%, P = 0.038), triglyceride and haemoglobin and low low-density lipoprotein were observed. Ɛ4 carriers had slightly increased cholesterol and hypercholesterolemia incidence relative to Ɛ4 noncarriers. CONCLUSIONS Our results demonstrated that APOE*Ɛ2 carriers can derive additional CV benefit from long-term aspirin treatment. Moreover, it was observed that APOE2 interacts with cyclooxygenase-1 (COX-1) and upregulates its activity. The CV-protective effect of aspirin in Ɛ2 carriers is likely attributed to APOE2 upregulating vascular COX-1-mediated CV protective pathway, together with aspirin partially inhibiting platelet COX-1-mediated platelet aggregation.
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Affiliation(s)
- Xiao-Li Li
- Department of the Eighth Healthcare , Second Medical Center, National Clinical Research Center for Geriatric Diseases, , Beijing 1000853, China
- Chinese People’s Liberation Army General Hospital , Second Medical Center, National Clinical Research Center for Geriatric Diseases, , Beijing 1000853, China
| | - Qiang Wang
- Department of Urology, Peking University People's Hospital , Beijing 100044, China
| | - Guo-Dong Jia
- Department of the Eighth Healthcare , Second Medical Center, National Clinical Research Center for Geriatric Diseases, , Beijing 1000853, China
- Chinese People’s Liberation Army General Hospital , Second Medical Center, National Clinical Research Center for Geriatric Diseases, , Beijing 1000853, China
| | - Hui-Jun Yin
- Department of the Eighth Healthcare , Second Medical Center, National Clinical Research Center for Geriatric Diseases, , Beijing 1000853, China
- Chinese People’s Liberation Army General Hospital , Second Medical Center, National Clinical Research Center for Geriatric Diseases, , Beijing 1000853, China
| | - Yao-Hui Wang
- Department of the Eighth Healthcare , Second Medical Center, National Clinical Research Center for Geriatric Diseases, , Beijing 1000853, China
- Chinese People’s Liberation Army General Hospital , Second Medical Center, National Clinical Research Center for Geriatric Diseases, , Beijing 1000853, China
| | - Chao Hu
- Department of the Eighth Healthcare , Second Medical Center, National Clinical Research Center for Geriatric Diseases, , Beijing 1000853, China
- Chinese People’s Liberation Army General Hospital , Second Medical Center, National Clinical Research Center for Geriatric Diseases, , Beijing 1000853, China
| | - Xiao-Qing Wang
- Department of the Eighth Healthcare , Second Medical Center, National Clinical Research Center for Geriatric Diseases, , Beijing 1000853, China
- Chinese People’s Liberation Army General Hospital , Second Medical Center, National Clinical Research Center for Geriatric Diseases, , Beijing 1000853, China
| | - Yang Yang
- Department of the Eighth Healthcare , Second Medical Center, National Clinical Research Center for Geriatric Diseases, , Beijing 1000853, China
- Chinese People’s Liberation Army General Hospital , Second Medical Center, National Clinical Research Center for Geriatric Diseases, , Beijing 1000853, China
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Pathak AK, Sukhavasi K, Marnetto D, Chaubey G, Pandey AK. Human population genomics approach in food metabolism. FUTURE FOODS 2022. [DOI: 10.1016/b978-0-323-91001-9.00033-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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4
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Zhang H, Zeng Y, Yang H, Hu Y, Hu Y, Chen W, Ying Z, Sun Y, Qu Y, Li Q, Valdimarsdóttir UA, Song H. Familial factors, diet, and risk of cardiovascular disease: a cohort analysis of the UK Biobank. Am J Clin Nutr 2021; 114:1837-1846. [PMID: 34375391 DOI: 10.1093/ajcn/nqab261] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 07/15/2021] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Both diet and familial factors have a major role in the development of cardiovascular disease (CVD). However, it remains unclear whether familial predisposition to CVD modifies the association between dietary factors and CVD. OBJECTIVES The aim was to assess whether the association between diet and CVD varies with familial predisposition to CVD. METHODS In this prospective cohort of the UK Biobank, 462,155 CVD-free participants were included in 2006-2010 and followed for CVD incidence until 2020. Food intake was measured using a short food-frequency questionnaire. Familial predisposition was measured by self-reported family history of CVD and by polygenic risk score (PRS) for CVD based on summary statistics of independent genome-wide association studies. RESULTS During a median follow-up of 11.2 y, 46,164 incident CVD cases were identified. A moderately higher risk of CVD was associated with more frequent processed-meat consumption, with an adjusted HR of 1.07 (95% CI: 1.03, 1.11; highest vs. lowest level). Conversely, intakes of fish, cheese, vegetables, and fruit were each associated with reduced CVD risk [HR (95% CI): 0.92 (0.89, 0.96), 0.90 (0.86, 0.94), 0.98 (0.95, 1.00), and 0.93 (0.89, 0.96), respectively]. Stratification analyses by family history of CVD and by PRS for CVD revealed an inverse association between CVD and intakes of fish and cheese, for both subgroups with and without a familial predisposition to CVD. Notably, while the association between processed-meat intake and CVD was restricted to individuals with a familial predisposition to CVD [e.g., HR: 1.11 (1.05, 1.16) and 1.03 (0.97, 1.10) for with and without a family history, respectively, P-interaction < 0.001], the risk reduction of CVD associated with vegetable and fruit intake was only noted among participants without a CVD familial predisposition [e.g., HR for fruit consumption: 1.00 (0.97, 1.03) and 0.91 (0.87, 0.95), respectively, P < 0.001]. CONCLUSIONS Familial factors modify the association between diet and CVD, underscoring the need for personalized dietary guidelines for CVD prevention.
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Affiliation(s)
- Hanyue Zhang
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.,Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Yu Zeng
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.,Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Huazhen Yang
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.,Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Yihan Hu
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.,Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Yao Hu
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.,Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Wenwen Chen
- Division of Nephrology, Kidney Research Institute, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Zhiye Ying
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.,Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Yajing Sun
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.,Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Yuanyuan Qu
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.,Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Qian Li
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China
| | - Unnur A Valdimarsdóttir
- Center of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland.,Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.,Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Huan Song
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.,Med-X Center for Informatics, Sichuan University, Chengdu, China.,Center of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland
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Investigating Effects of Plasma Apolipoprotein E on Ischemic Heart Disease Using Mendelian Randomization Study. Nutrients 2021; 13:nu13072215. [PMID: 34203181 PMCID: PMC8308265 DOI: 10.3390/nu13072215] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 06/08/2021] [Accepted: 06/23/2021] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Observationally plasma apolipoprotein E (apoE) is positively associated with ischemic heart disease (IHD). A Mendelian randomization (MR) study suggesting apoE is unrelated to cardiovascular mortality did not consider specific isoforms. We used MR to obtain estimates of plasma apoE2, apoE3 and apoE4 on IHD, low-density lipoprotein (LDL) and high-density lipoprotein (HDL) cholesterol, triglycerides and apolipoprotein B (apoB). METHODS We obtained independent genetic instruments from proteome genome-wide association studies (GWAS) and applied them to large outcome GWAS. We used univariable MR to assess the role of each isoform and multivariable MR to assess direct effects. RESULTS In univariable MR, apoE4 was positively associated with IHD (odds ratio (OR) 1.05, 95% confidence interval (CI) 1.01 to 1.09), but apoE2 and apoE3 were less clearly associated. Using multivariable MR an association of apoE2 with IHD (OR 1.16, 95% CI 0.98 to 1.38) could not be excluded, and associations of apoE3 and apoE4 with IHD were not obvious. In univariable MR, apoE2 and apoE4 were positively associated with apoB, and a positive association of apoE2 with LDL cholesterol could not be excluded. Using multivariable MR apoE2 was positively associated with LDL cholesterol, and associations with apoB could not be excluded. After adjusting for apoB, no direct effects of apoE isoforms on IHD were evident. CONCLUSIONS Plasma apoE2 and apoE4 may play a role in lipid modulation and IHD. Whether apoE could be a potential therapeutic target requires further clarification when larger genetic studies of apoE isoforms are available.
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Abstract
PURPOSE OF REVIEW The functions, genetic variations and impact of apolipoprotein E on lipoprotein metabolism in general are placed in the context of clinical practice dealing with moderate dyslipidaemia as well as dysbetalipoproteinemia, a highly atherogenic disorder and lipoprotein glomerulopathy. RECENT FINDINGS Additional variants of apolipoprotein E and participation of apolipoprotein E in inflammation are of interest. The mostly favourable effects of apolipoprotein E2 as well as the atherogenic nature of apolipoproteinE4, which has an association with cognitive impairment, are confirmed. The contribution of remnant lipoproteins of triglyceride-rich lipoproteins, of which dysbetalipoproteinemia represents an extreme, is explored in atherosclerosis. Mimetic peptides may present new therapeutic approaches. Apolipoprotein E is an important determinant of the lipid profile and cardiovascular health in the population at large and can precipitate dysbetalipoproteinemia and glomerulopathy. Awareness of apolipoprotein E polymorphisms should improve medical care.
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Age and sex specific effects of APOE genotypes on ischemic heart disease and its risk factors in the UK Biobank. Sci Rep 2021; 11:9229. [PMID: 33927215 PMCID: PMC8085204 DOI: 10.1038/s41598-021-88256-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Accepted: 03/17/2021] [Indexed: 12/23/2022] Open
Abstract
APOE genotypes are associated with ischemic heart disease (IHD), several other cardiovascular diseases and dementia. Previous studies have not comprehensively considered all genotypes, especially ε2ε2, nor associations by age and sex, although IHD incidence differs by sex. In the UK Biobank, including 391,992 white British participants, we compared effects of APOE genotypes on IHD and its risk factors. Compared to the ε3ε3 genotype, ε2ε2 was not clearly associated with IHD but was associated with lower plasma apolipoprotein B (apoB). The ε2ε3 genotype conferred lower IHD risk, systolic blood pressure (SBP), pulse pressure and plasma apoB than ε3ε3. ε3ε4 and ε4ε4 conferred higher IHD risk, higher pulse pressure and plasma apoB, but lower glycated haemoglobin (HbA1c) than ε3ε3. The associations by age and sex were fairly similar, except ε2ε2 compared to ε3ε3 was marginally positively associated with IHD in the younger age group and nominally inversely associated with SBP in men. ε3ε4 compared to ε3ε3 was nominally positively associated with SBP in women. APOE genotypes affect IHD risk increasingly from ε2ε3, ε3ε3, ε3ε4 to ε4ε4, with similar patterns for pulse pressure and plasma apoB, but not for diabetes. Associations with blood pressure differed by sex. Greater understanding of products of APOE and their effects might generate targets of intervention.
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Corpas M, Megy K, Mistry V, Metastasio A, Lehmann E. Whole Genome Interpretation for a Family of Five. Front Genet 2021; 12:535123. [PMID: 33763108 PMCID: PMC7982663 DOI: 10.3389/fgene.2021.535123] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Accepted: 02/15/2021] [Indexed: 12/19/2022] Open
Abstract
Although best practices have emerged on how to analyse and interpret personal genomes, the utility of whole genome screening remains underdeveloped. A large amount of information can be gathered from various types of analyses via whole genome sequencing including pathogenicity screening, genetic risk scoring, fitness, nutrition, and pharmacogenomic analysis. We recognize different levels of confidence when assessing the validity of genetic markers and apply rigorous standards for evaluation of phenotype associations. We illustrate the application of this approach on a family of five. By applying analyses of whole genomes from different methodological perspectives, we are able to build a more comprehensive picture to assist decision making in preventative healthcare and well-being management. Our interpretation and reporting outputs provide input for a clinician to develop a healthcare plan for the individual, based on genetic and other healthcare data.
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Affiliation(s)
- Manuel Corpas
- Cambridge Precision Medicine Limited, ideaSpace, University of Cambridge Biomedical Innovation Hub, Cambridge, United Kingdom.,Institute of Continuing Education Madingley Hall Madingley, University of Cambridge, Cambridge, United Kingdom.,Facultad de Ciencias de la Salud, Universidad Internacional de La Rioja, Madrid, Spain
| | - Karyn Megy
- Cambridge Precision Medicine Limited, ideaSpace, University of Cambridge Biomedical Innovation Hub, Cambridge, United Kingdom.,Department of Haematology, University of Cambridge & National Health Service (NHS) Blood and Transplant, Cambridge, United Kingdom
| | | | - Antonio Metastasio
- Cambridge Precision Medicine Limited, ideaSpace, University of Cambridge Biomedical Innovation Hub, Cambridge, United Kingdom.,Camden and Islington NHS Foundation Trust, London, United Kingdom
| | - Edmund Lehmann
- Cambridge Precision Medicine Limited, ideaSpace, University of Cambridge Biomedical Innovation Hub, Cambridge, United Kingdom
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Nutrients, Genetic Factors, and Their Interaction in Non-Alcoholic Fatty Liver Disease and Cardiovascular Disease. Int J Mol Sci 2020; 21:ijms21228761. [PMID: 33228237 PMCID: PMC7699550 DOI: 10.3390/ijms21228761] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 11/15/2020] [Accepted: 11/16/2020] [Indexed: 02/06/2023] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease in Western countries and expose patients to increased risk of hepatic and cardiovascular (CV) morbidity and mortality. Both environmental factors and genetic predisposition contribute to the risk. An inappropriate diet, rich in refined carbohydrates, especially fructose, and saturated fats, and poor in fibers, polyunsaturated fats, and vitamins is one of the main key factors, as well as the polymorphism of patatin-like phospholipase domain containing 3 (PNPLA3 gene) for NAFLD and the apolipoproteins and the peroxisome proliferator-activated receptor (PPAR) family for the cardiovascular damage. Beyond genetic influence, also epigenetics modifications are responsible for various clinical manifestations of both hepatic and CV disease. Interestingly, data are accumulating on the interplay between diet and genetic and epigenetic modifications, modulating pathogenetic pathways in NAFLD and CV disease. We report the main evidence from literature on the influence of both macro and micronutrients in NAFLD and CV damage and the role of genetics either alone or combined with diet in increasing the risk of developing both diseases. Understanding the interaction between metabolic alterations, genetics and diet are essential to treat the diseases and tailoring nutritional therapy to control NAFLD and CV risk.
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10
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Mullins VA, Bresette W, Johnstone L, Hallmark B, Chilton FH. Genomics in Personalized Nutrition: Can You "Eat for Your Genes"? Nutrients 2020; 12:E3118. [PMID: 33065985 PMCID: PMC7599709 DOI: 10.3390/nu12103118] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 10/05/2020] [Accepted: 10/07/2020] [Indexed: 12/19/2022] Open
Abstract
Genome-wide single nucleotide polymorphism (SNP) data are now quickly and inexpensively acquired, raising the prospect of creating personalized dietary recommendations based on an individual's genetic variability at multiple SNPs. However, relatively little is known about most specific gene-diet interactions, and many molecular and clinical phenotypes of interest (e.g., body mass index [BMI]) involve multiple genes. In this review, we discuss direct to consumer genetic testing (DTC-GT) and the current potential for precision nutrition based on an individual's genetic data. We review important issues such as dietary exposure and genetic architecture addressing the concepts of penetrance, pleiotropy, epistasis, polygenicity, and epigenetics. More specifically, we discuss how they complicate using genotypic data to predict phenotypes as well as response to dietary interventions. Then, several examples (including caffeine sensitivity, alcohol dependence, non-alcoholic fatty liver disease, obesity/appetite, cardiovascular, Alzheimer's disease, folate metabolism, long-chain fatty acid biosynthesis, and vitamin D metabolism) are provided illustrating how genotypic information could be used to inform nutritional recommendations. We conclude by examining ethical considerations and practical applications for using genetic information to inform dietary choices and the future role genetics may play in adopting changes beyond population-wide healthy eating guidelines.
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Affiliation(s)
- Veronica A. Mullins
- Department of Nutritional Sciences, University of Arizona, Tucson, AZ 85719, USA; (V.A.M.); (W.B.)
| | - William Bresette
- Department of Nutritional Sciences, University of Arizona, Tucson, AZ 85719, USA; (V.A.M.); (W.B.)
| | - Laurel Johnstone
- The BIO5 Institute, University of Arizona, Tucson, AZ 85719, USA; (L.J.); (B.H.)
| | - Brian Hallmark
- The BIO5 Institute, University of Arizona, Tucson, AZ 85719, USA; (L.J.); (B.H.)
| | - Floyd H. Chilton
- Department of Nutritional Sciences, University of Arizona, Tucson, AZ 85719, USA; (V.A.M.); (W.B.)
- The BIO5 Institute, University of Arizona, Tucson, AZ 85719, USA; (L.J.); (B.H.)
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Dankner R, Ben Avraham S, Harats D, Chetrit A. ApoE Genotype, Lipid Profile, Exercise, and the Associations With Cardiovascular Morbidity and 18-Year Mortality. J Gerontol A Biol Sci Med Sci 2019; 75:1887-1893. [DOI: 10.1093/gerona/glz232] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2019] [Indexed: 11/13/2022] Open
Abstract
AbstractBackgroundStudies of longevity examined apolipoprotein E (ApoE), a gene involved in lipoprotein metabolism, which interacts with susceptibility to age-related diseases, and with mortality. We evaluated the association of ApoE isoforms with cardiovascular disease (CVD) and all-cause mortality.MethodsA prospective cohort of 949 survivors of the Israel Study of Glucose Intolerance, Obesity, and Hypertension, examined during 1999–2004, mean age 72 years, was followed for mortality until 2017. Participants were interviewed for lifestyle habits and medical history. Anthropometrics and biochemical markers were taken. Logistic regression was used to assess CVD morbidity and Cox proportional hazard model for mortality.ResultsThe most common genotype in the cohort was ApoE E3 (76.3%), with the other two almost equally distributed (ApoE E2 11.2% and ApoE E4 12.5%). In men only, ApoE E4 associated with CVD (adjusted odds ratio = 1.46, 95% confidence interval [CI] 0.76, 2.80) and with 18-year mortality (adjusted hazard ratio = 1.47, 95% CI 0.95, 2.26), adjusting for age, ethnicity, physical activity, hypertension, diabetes, low-density lipoprotein (LDL)-cholesterol, high-density lipoprotein (HDL)-cholesterol, triglycerides and lipid-lowering medications. Low levels of HDL cholesterol, adjusted for ApoE and the above-mentioned variables, associated with higher prevalence of CVD (adjusted odds ratio = 1.35, 95% CI 1.00, 1.83) and all-cause mortality (adjusted hazard ratio = 1.42, 95% CI 1.14, 1.78). ApoE E3 and E2 conferred a lower 18-year mortality risk in the physically active individuals, compared to the sedentary (adjusted hazard ratio = 0.57, 95% CI 0.44, 0.74, and adjusted hazard ratio = 0.53, 95% CI 0.78, 1.02, respectively).ConclusionsIn community-dwelling older adults, sociodemographic characteristics and physical activity, blood pressure and HDL-cholesterol levels, may outweigh the impact of ApoE polymorphisms on CVD morbidity and all-cause mortality.
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Affiliation(s)
- Rachel Dankner
- Unit for Cardiovascular Epidemiology, The Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Ramat Gan, Israel
- Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Sivan Ben Avraham
- Unit for Cardiovascular Epidemiology, The Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Ramat Gan, Israel
| | - Dror Harats
- Bert Strassburger Lipid Center, Sheba Medical Center, Ramat Gan, Israel
| | - Angela Chetrit
- Unit for Cardiovascular Epidemiology, The Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Ramat Gan, Israel
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12
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Long Y, Zhao XT, Liu C, Sun YY, Ma YT, Liu XY, Liu JX. A Case-Control Study of the Association of the Polymorphisms of MTHFR and APOE with Risk Factors and the Severity of Coronary Artery Disease. Cardiology 2019; 142:149-157. [PMID: 31163415 DOI: 10.1159/000499866] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2018] [Accepted: 03/21/2019] [Indexed: 11/19/2022]
Abstract
OBJECTIVES To explore the association between single-nucleotide polymorphisms (SNPs) in MTHFR and APOE and the risk of CAD and, more importantly, the severity of CAD and the profile of serum lipids, we performed a case-control study in a Chinese Han population. METHODS A total of 1,207 cases of consecutive CAD-suspected inpatients were recruited, and 406 CAD cases and 231 non-CAD controls were enrolled for the final analysis after screening for exclusion criteria. All subjects had undergone coronary angiography, and the severity of CAD was evaluated by 2 cardiologists according to the Gensini scores. The genotypes of MTHFR and APOEwere detected using real-time PCR, and then verified by Sanger sequencing. Environmental risk factors, such as age, sex, smoking, alcohol consumption, hypertension, diabetes, dyslipidemia, and BMI were collected. Statistical analyses (the χ2 test, binary logistic regression analysis, and ordinal polytomous logistic regression analysis) were performed with SPSS v16.0. RESULTS The genotypes ofall the subjects included in the CAD and non-CAD groups in this study were successfully detected, with an agreement of 100% with Sanger sequencing. The distributions of genotypes CT and TT at MTHFR C667T were higher in CAD cases than in non-CAD controls (OR 1.99, 95% CI 1.34-2.95; OR 1.77, 95% CI 1.18-2.67; p < 0.05), whereas genotype AC at MTHFR A1298Cwas lower in CAD cases (OR 0.71, 95% CI 0.50-1.02; p < 0.05). A significant association was observed in genotypes CT and TT at MTHFR C667T and the risk of CAD (OR 1.44, 95% CI 1.27-3.67; OR 1.56, 95% CI 0.88-2.78; p < 0.05). Both genotypes and alleles of APOE were comparable in the CAD cases and non-CAD controls (p > 0.05). The genotype TT at MTHFR C667T and ε4+ at APOE were more likely to be found in the CAD subgroup with a Gensini score ≥72 (p = 0.040 and p = 0.028, respectively). Meanwhile, in the patients with genotype TT,a higher level of serum Hcy was detected, while genotype ε4+ patients possessed higher levels of serum apolipoprotein E (ApoE) and low-density lipoprotein cholesterol (LDL-C) than other genotypes. CONCLUSION This study revealed that the SNP site of MTHFR C667Tis associatedwith the risk of CAD in this Chinese Han population. In addition, the genotypes of TT in MTHFR C667T and ε4+in APOE may increase the severity of CAD, and higher Hcy, LDL-C, and ApoE levels may be involved in this pathogenic process.
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Affiliation(s)
- Yan Long
- Department of Laboratory of Molecular Biology, Peking University People's Hospital, Beijing, China, .,Peking University Health Science Center, Beijing, China,
| | - Xiao-Tao Zhao
- Department of Laboratory of Molecular Biology, Peking University People's Hospital, Beijing, China.,Peking University Health Science Center, Beijing, China
| | - Chang Liu
- Department of Laboratory of Molecular Biology, Peking University People's Hospital, Beijing, China.,Peking University Health Science Center, Beijing, China
| | - Yuan-Yuan Sun
- Department of Laboratory of Molecular Biology, Peking University People's Hospital, Beijing, China.,Peking University Health Science Center, Beijing, China
| | - Yin-Ting Ma
- Department of Laboratory of Molecular Biology, Peking University People's Hospital, Beijing, China.,Peking University Health Science Center, Beijing, China
| | - Xin-Yu Liu
- Cardiology Department, Peking University People's Hospital, Beijing, China.,Peking University Health Science Center, Beijing, China
| | - Ji-Xuan Liu
- Cardiology Department, Chinese PLA General Hospital, Beijing, China.,Medical School of Chinese PLA, Beijing, China
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13
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Current and Emerging Reconstituted HDL-apoA-I and HDL-apoE Approaches to Treat Atherosclerosis. J Pers Med 2018; 8:jpm8040034. [PMID: 30282955 PMCID: PMC6313318 DOI: 10.3390/jpm8040034] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Revised: 09/26/2018] [Accepted: 09/27/2018] [Indexed: 01/14/2023] Open
Abstract
Atherosclerosis affects millions of people worldwide. However, the wide variety of limitations in the current therapeutic options leaves much to be desired in future lipid-lowering therapies. For example, although statins, which are the first-line treatment for coronary heart disease (CHD), reduce the risk of cardiovascular events in a large percentage of patients, they lead to optimal levels of low density lipoprotein-cholesterol (LDL-C) in only about one-third of patients. A new promising research direction against atherosclerosis aims to improve lipoprotein metabolism. Novel therapeutic approaches are being developed to increase the levels of functional high density lipoprotein (HDL) particles. This review aims to highlight the atheroprotective potential of the in vitro synthesized reconstituted HDL particles containing apolipoprotein E (apoE) as their sole apolipoprotein component (rHDL-apoE). For this purpose, we provide: (1) a summary of the atheroprotective properties of native plasma HDL and its apolipoprotein components, apolipoprotein A-I (apoA-I) and apoE; (2) an overview of the anti-atherogenic functions of rHDL-apoA-I and apoA-I-containing HDL, i.e., natural HDL isolated from transgenic Apoa1−/− × Apoe−/− mice overexpressing human apoA-I (HDL-apoA-I); and (3) the latest developments and therapeutic potential of HDL-apoE and rHDL-apoE. Novel rHDL formulations containing apoE could possibly present enhanced biological functions, leading to improved therapeutic efficacy against atherosclerosis.
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14
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Maguire EM, Pearce SWA, Xiao Q. Foam cell formation: A new target for fighting atherosclerosis and cardiovascular disease. Vascul Pharmacol 2018; 112:54-71. [PMID: 30115528 DOI: 10.1016/j.vph.2018.08.002] [Citation(s) in RCA: 187] [Impact Index Per Article: 31.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2018] [Revised: 07/17/2018] [Accepted: 08/03/2018] [Indexed: 12/23/2022]
Abstract
During atherosclerosis, the gradual accumulation of lipids into the subendothelial space of damaged arteries results in several lipid modification processes followed by macrophage uptake in the arterial wall. The way in which these modified lipoproteins are dealt with determines the likelihood of cholesterol accumulation within the monocyte-derived macrophage and thus its transformation into the foam cell that makes up the characteristic fatty streak observed in the early stages of atherosclerosis. The unique expression of chemokine receptors and cellular adhesion molecules expressed on the cell surface of monocytes points to a particular extravasation route that they can take to gain entry into atherosclerotic site, in order to undergo differentiation into the phagocytic macrophage. Indeed several GWAS and animal studies have identified key genes and proteins required for monocyte recruitment as well cholesterol handling involving lipid uptake, cholesterol esterification and cholesterol efflux. A re-examination of the previously accepted paradigm of macrophage foam cell origin has been called into question by recent studies demonstrating shared expression of scavenger receptors, cholesterol transporters and pro-inflammatory cytokine release by alternative cell types present in the neointima, namely; endothelial cells, vascular smooth muscle cells and stem/progenitor cells. Thus, therapeutic targets aimed at a more heterogeneous foam cell population with shared functions, such as enhanced protease activity, and signalling pathways, mediated by non-coding RNA molecules, may provide greater therapeutic outcome in patients. Finally, studies targeting each aspect of foam cell formation and death using both genetic knock down and pharmacological inhibition have provided researchers with a clearer understanding of the cellular processes at play, as well as helped researchers to identify key molecular targets, which may hold significant therapeutic potential in the future.
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Affiliation(s)
- Eithne M Maguire
- Centre for Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK
| | - Stuart W A Pearce
- Centre for Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK
| | - Qingzhong Xiao
- Centre for Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK.
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15
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Macedoni M, Hovnik T, Plesnik E, Kotnik P, Bratina N, Battelino T, Groselj U. Metabolic control, ApoE genotypes, and dyslipidemia in children, adolescents and young adults with type 1 diabetes. Atherosclerosis 2018; 273:53-58. [DOI: 10.1016/j.atherosclerosis.2018.04.013] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Revised: 03/08/2018] [Accepted: 04/11/2018] [Indexed: 11/27/2022]
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16
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Martins RN, Villemagne V, Sohrabi HR, Chatterjee P, Shah TM, Verdile G, Fraser P, Taddei K, Gupta VB, Rainey-Smith SR, Hone E, Pedrini S, Lim WL, Martins I, Frost S, Gupta S, O’Bryant S, Rembach A, Ames D, Ellis K, Fuller SJ, Brown B, Gardener SL, Fernando B, Bharadwaj P, Burnham S, Laws SM, Barron AM, Goozee K, Wahjoepramono EJ, Asih PR, Doecke JD, Salvado O, Bush AI, Rowe CC, Gandy SE, Masters CL. Alzheimer's Disease: A Journey from Amyloid Peptides and Oxidative Stress, to Biomarker Technologies and Disease Prevention Strategies-Gains from AIBL and DIAN Cohort Studies. J Alzheimers Dis 2018; 62:965-992. [PMID: 29562546 PMCID: PMC5870031 DOI: 10.3233/jad-171145] [Citation(s) in RCA: 78] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Worldwide there are over 46 million people living with dementia, and this number is expected to double every 20 years reaching about 131 million by 2050. The cost to the community and government health systems, as well as the stress on families and carers is incalculable. Over three decades of research into this disease have been undertaken by several research groups in Australia, including work by our original research group in Western Australia which was involved in the discovery and sequencing of the amyloid-β peptide (also known as Aβ or A4 peptide) extracted from cerebral amyloid plaques. This review discusses the journey from the discovery of the Aβ peptide in Alzheimer's disease (AD) brain to the establishment of pre-clinical AD using PET amyloid tracers, a method now serving as the gold standard for developing peripheral diagnostic approaches in the blood and the eye. The latter developments for early diagnosis have been largely achieved through the establishment of the Australian Imaging Biomarker and Lifestyle research group that has followed 1,100 Australians for 11 years. AIBL has also been instrumental in providing insight into the role of the major genetic risk factor apolipoprotein E ɛ4, as well as better understanding the role of lifestyle factors particularly diet, physical activity and sleep to cognitive decline and the accumulation of cerebral Aβ.
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Affiliation(s)
- Ralph N. Martins
- Centre of Excellence for Alzheimer’s Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Australian Alzheimer’s Research Foundation, Ralph and Patricia Sarich Neuroscience Research Institute, Nedlands, WA, Australia
- Department of Biomedical Sciences, Macquarie University, Sydney, NSW, Australia
- School of Psychiatry and Clinical Neurosciences, University of Western Australia, Perth WA, Australia
- KaRa Institute of Neurological Diseases, Sydney NSW, Australia
| | - Victor Villemagne
- Department of Nuclear Medicine and Centre for PET, Austin Health, Heidelberg, Australia
- Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia
| | - Hamid R. Sohrabi
- Centre of Excellence for Alzheimer’s Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Australian Alzheimer’s Research Foundation, Ralph and Patricia Sarich Neuroscience Research Institute, Nedlands, WA, Australia
- Department of Biomedical Sciences, Macquarie University, Sydney, NSW, Australia
- School of Psychiatry and Clinical Neurosciences, University of Western Australia, Perth WA, Australia
- KaRa Institute of Neurological Diseases, Sydney NSW, Australia
- Cooperative Research Centre for Mental Health, Carlton, VIC, Australia
| | - Pratishtha Chatterjee
- Centre of Excellence for Alzheimer’s Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Department of Biomedical Sciences, Macquarie University, Sydney, NSW, Australia
- KaRa Institute of Neurological Diseases, Sydney NSW, Australia
| | - Tejal M. Shah
- Centre of Excellence for Alzheimer’s Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Australian Alzheimer’s Research Foundation, Ralph and Patricia Sarich Neuroscience Research Institute, Nedlands, WA, Australia
- Department of Biomedical Sciences, Macquarie University, Sydney, NSW, Australia
| | - Giuseppe Verdile
- Centre of Excellence for Alzheimer’s Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Australian Alzheimer’s Research Foundation, Ralph and Patricia Sarich Neuroscience Research Institute, Nedlands, WA, Australia
- School of Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University of Technology, Bentley, WA, Australia
| | - Paul Fraser
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, ON, Canada
| | - Kevin Taddei
- Centre of Excellence for Alzheimer’s Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Australian Alzheimer’s Research Foundation, Ralph and Patricia Sarich Neuroscience Research Institute, Nedlands, WA, Australia
- Cooperative Research Centre for Mental Health, Carlton, VIC, Australia
| | - Veer B. Gupta
- Centre of Excellence for Alzheimer’s Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Cooperative Research Centre for Mental Health, Carlton, VIC, Australia
| | - Stephanie R. Rainey-Smith
- Centre of Excellence for Alzheimer’s Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Australian Alzheimer’s Research Foundation, Ralph and Patricia Sarich Neuroscience Research Institute, Nedlands, WA, Australia
| | - Eugene Hone
- Centre of Excellence for Alzheimer’s Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Cooperative Research Centre for Mental Health, Carlton, VIC, Australia
| | - Steve Pedrini
- Centre of Excellence for Alzheimer’s Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Cooperative Research Centre for Mental Health, Carlton, VIC, Australia
| | - Wei Ling Lim
- Centre of Excellence for Alzheimer’s Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Ian Martins
- Centre of Excellence for Alzheimer’s Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Shaun Frost
- CSIRO Australian e-Health Research Centre/Health and Biosecurity, Perth, WA, Australia
| | - Sunil Gupta
- Centre of Excellence for Alzheimer’s Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Australian Alzheimer’s Research Foundation, Ralph and Patricia Sarich Neuroscience Research Institute, Nedlands, WA, Australia
- Department of Biomedical Sciences, Macquarie University, Sydney, NSW, Australia
- KaRa Institute of Neurological Diseases, Sydney NSW, Australia
| | - Sid O’Bryant
- University of North Texas Health Science Centre, Fort Worth, TX, USA
| | - Alan Rembach
- Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia
| | - David Ames
- National Ageing Research Institute, Parkville, VIC, Australia
- University of Melbourne Academic Unit for Psychiatry of Old Age, St George’s Hospital, Kew, VIC, Australia
| | - Kathryn Ellis
- Department of Psychiatry, The University of Melbourne, Parkville, VIC, Australia
| | - Stephanie J. Fuller
- Australian Alzheimer’s Research Foundation, Ralph and Patricia Sarich Neuroscience Research Institute, Nedlands, WA, Australia
| | - Belinda Brown
- Australian Alzheimer’s Research Foundation, Ralph and Patricia Sarich Neuroscience Research Institute, Nedlands, WA, Australia
- School of Psychology and Exercise Science, Murdoch University, Perth, WA, Australia
| | - Samantha L. Gardener
- Centre of Excellence for Alzheimer’s Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Australian Alzheimer’s Research Foundation, Ralph and Patricia Sarich Neuroscience Research Institute, Nedlands, WA, Australia
| | - Binosha Fernando
- Centre of Excellence for Alzheimer’s Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Prashant Bharadwaj
- Centre of Excellence for Alzheimer’s Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Samantha Burnham
- Centre of Excellence for Alzheimer’s Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- eHealth, CSIRO Health and Biosecurity, Parkville, VIC, Australia
| | - Simon M. Laws
- Centre of Excellence for Alzheimer’s Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Cooperative Research Centre for Mental Health, Carlton, VIC, Australia
- Collaborative Genomics Group, Centre of Excellence for Alzheimer’s Disease Research and Care, School of Medical Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Anna M. Barron
- School of Psychiatry and Clinical Neurosciences, University of Western Australia, Perth WA, Australia
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Kathryn Goozee
- Department of Biomedical Sciences, Macquarie University, Sydney, NSW, Australia
- School of Psychiatry and Clinical Neurosciences, University of Western Australia, Perth WA, Australia
- KaRa Institute of Neurological Diseases, Sydney NSW, Australia
- Anglicare, Sydney, NSW, Australia
- Cooperative Research Centre for Mental Health, Carlton, VIC, Australia
| | - Eka J. Wahjoepramono
- Centre of Excellence for Alzheimer’s Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Prita R. Asih
- KaRa Institute of Neurological Diseases, Sydney NSW, Australia
- School of Medical Sciences, University of New South Wales, Kensington, NSW, Australia
| | - James D. Doecke
- CSIRO Health and Biosecurity, Australian E-Health Research Centre, Brisbane, Australia
| | - Olivier Salvado
- CSIRO Health and Biosecurity, Australian E-Health Research Centre, Brisbane, Australia
- Cooperative Research Centre for Mental Health, Carlton, VIC, Australia
| | - Ashley I. Bush
- Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia
- Cooperative Research Centre for Mental Health, Carlton, VIC, Australia
| | - Christopher C. Rowe
- Department of Nuclear Medicine and Centre for PET, Austin Health, Heidelberg, Australia
- Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia
| | - Samuel E. Gandy
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Colin L. Masters
- Cooperative Research Centre for Mental Health, Carlton, VIC, Australia
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17
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Luo JQ, Ren H, Banh HL, Liu MZ, Xu P, Fang PF, Xiang DX. The Associations between Apolipoprotein E Gene Epsilon2/Epsilon3/Epsilon4 Polymorphisms and the Risk of Coronary Artery Disease in Patients with Type 2 Diabetes Mellitus. Front Physiol 2017; 8:1031. [PMID: 29311965 PMCID: PMC5732920 DOI: 10.3389/fphys.2017.01031] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2017] [Accepted: 11/28/2017] [Indexed: 12/23/2022] Open
Abstract
Background and Objective: Apolipoprotein E (APOE) plays important roles in lipoprotein metabolism and cardiovascular disease. Evidence suggests the APOE gene epsilon2/epsilon3/epsilon4 (ε2/ε3/ε4) polymorphisms might be associated with the susceptibility of coronary artery disease (CAD) in patients with type 2 diabetes mellitus (T2DM). However, no clear consensus has yet been established. Therefore, the aim of this meta-analysis is to provide a precise conclusion on the potential association between APOE ε2/ε3/ε4 polymorphisms and the risk of CAD in patients with T2DM based on case-control studies. Methods: Pubmed, Embase, Chinese National Knowledge Infrastructure (CNKI), and Wanfang databases were searched for all relevant studies prior to August 2017 in English and Chinese language. The pooled odds ratios (ORs) and their corresponding 95% confidence intervals (CIs) were used to assess the strength of the relationships. The between-study heterogeneity was evaluated by Cochran's Q-test and the I2 index to adopt fixed- or random- effect models. Results: A total of 13 studies were eligible for inclusion. There was evidence for significant associations between APOE ε4 mutation and the risk of CAD in patients with T2DM (for ε3/ε4 vs. ε3/ε3: OR = 1.69, 95% CI = 1.38–2.08, P < 0.001; for ε4/ε4 vs. ε3/ε3: OR = 2.72, 95% CI = 1.61–4.60, P < 0.001; for ε4/ε4+ε3/ε4 vs. ε3/ε3: OR = 1.83, 95% CI = 1.52–2.22, P < 0.001; for ε4 allele vs. ε3 allele: OR = 1.64, 95% CI = 1.40–1.94, P < 0.001). In contrast, no significant associations were found in genetic model of APOE ε2 mutation (for ε2/ε2 vs. ε3/ε3: OR = 1.67, 95% CI = 0.90–3.09, P = 0.104; for ε2/ε3 vs. ε3/ε3: OR = 1.18, 95% CI = 0.93–1.51, P = 0.175; for ε2/ε2+ε2/ε3 vs. ε3/ε3: OR = 1.26, 95% CI = 0.88–1.82, P = 0.212; for ε2 allele vs. ε3 allele: OR = 1.34, 95% CI = 0.98–1.84, P = 0.07). Conclusions: The APOE gene ε4 mutation is associated with an increased risk of CAD in patients with T2DM, while the ε2 variation has null association with this disease.
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Affiliation(s)
- Jian-Quan Luo
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, China.,Institute of Clinical Pharmacy, Central South University, Changsha, China
| | - Huan Ren
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China.,Hunan Key Laboratory of Pharmacogenetics, Institute of Clinical Pharmacology, Central South University, Changsha, China
| | - Hoan Linh Banh
- Department of Family Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
| | - Mou-Ze Liu
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, China.,Institute of Clinical Pharmacy, Central South University, Changsha, China
| | - Ping Xu
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, China.,Institute of Clinical Pharmacy, Central South University, Changsha, China
| | - Ping-Fei Fang
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, China.,Institute of Clinical Pharmacy, Central South University, Changsha, China
| | - Da-Xiong Xiang
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, China.,Institute of Clinical Pharmacy, Central South University, Changsha, China
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18
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Peña-Romero AC, Navas-Carrillo D, Marín F, Orenes-Piñero E. The future of nutrition: Nutrigenomics and nutrigenetics in obesity and cardiovascular diseases. Crit Rev Food Sci Nutr 2017; 58:3030-3041. [PMID: 28678615 DOI: 10.1080/10408398.2017.1349731] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Over time, the relationship between diet and health has aroused great interest, since nutrition can prevent and treat several diseases. It has been demonstrated that general recommendations on macronutrients and micronutrients do not affect to every individual in the same way because diet is an important environmental factor that interacts with genes. Thus, there is a growing necessity of improving a personalized nutrition to treat obesity and associated medical conditions, taking into account the interactions between diet, genes and health. Therefore, the knowledge of the interactions between the genome and nutrients at the molecular level, has led to the advent of nutritional genomics, which involves the sciences of nutrigenomics and nutrigenetics. In this review, we will comprehensively analyze the role of the most important genes associated with two interrelated chronic medical conditions, such as obesity and cardiovascular diseases.
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Affiliation(s)
| | - Diana Navas-Carrillo
- b Department of Surgery, Hospital de la Vega Lorenzo Guirao , University of Murcia , Murcia , Spain
| | - Francisco Marín
- c Department of Cardiology, Hospital Clínico Universitario Virgen de la Arrixaca (IMIB-Arrixaca) , Universidad de Murcia , Murcia , Spain
| | - Esteban Orenes-Piñero
- a Department of Biochemistry and Molecular Biology-A , University of Murcia , Murcia , Spain
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19
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Deng CW, Zhang XX, Lin JH, Huang LF, Qu YL, Bai C. Association between Genetic Variants of Transforming Growth Factor-β1 and Susceptibility of Pneumoconiosis: A Meta-analysis. Chin Med J (Engl) 2017; 130:357-364. [PMID: 28139521 PMCID: PMC5308020 DOI: 10.4103/0366-6999.198917] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
Background: Transforming growth factor-beta 1 (TGF-β1) and gene variants have been extensively studied in various human diseases. For example, TGF-β1 polymorphisms were associated with fibrosis and pneumoconiosis, but the data remained controversial. The aim of this meta-analysis was to assess the association between TGF-β1 −509 C>T [rs1800469], +869 T>C [rs1800470], and +915 G>C [rs1800471] polymorphisms and pneumoconiosis. Methods: A comprehensive literature search was conducted through searching in PubMed, Embase, the Chinese Biomedical Database, and the Wei Pu (Chinese) Database by the end of April 2016. Eleven publications with 21 studies were included in this meta-analysis, covering a total of 4333 patients with pneumoconiosis and 3478 controls. Study quality was assessed, and heterogeneity and publication bias were measured. All statistical analyses were performed using STATA version 12.0 (StataCorp, College Station, TX, USA) software. Results: The data showed significant associations between TGF-β1 −509 C>T polymorphism and the risk of pneumoconiosis development (T vs. C, odds ratio [OR] = 1.35, 95% confidence interval [CI]: 1.00–1.81, P = 0.046); between TGF-β1 +915 G>C polymorphism and the pneumoconiosis risk (C vs. G, OR = 1.69, 95% CI: 1.19–2.40, P = 0.004; CG vs. GG, OR = 1.79, 95% CI: 1.23–2.60, P = 0.002; CC+CG vs. GG, OR = 1.80, 95% CI: 1.24–2.61, P = 0.002). In addition, the subgroup analysis of ethnicity versus pneumoconiosis types indicated a significant association of silicosis among Asian populations but not that of coal workers’ pneumoconiosis in Caucasian populations. In contrast, no significant association was exhibited between TGF-β1 +869 T>C polymorphism and risk of pneumoconiosis. Conclusion: The polymorphisms of both TGF-β1 −509 C>T and +915 G>C are associated with increased risk of pneumoconiosis.
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Affiliation(s)
- Chang-Wen Deng
- Department of Respiratory and Critical Care Medicine, Changhai Hospital, The Second Military Medical University, Shanghai 200433; Department of Cell Biology and Stem Cell Research Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China
| | - Xing-Xing Zhang
- Department of Respiratory and Critical Care Medicine, Changhai Hospital, The Second Military Medical University, Shanghai 200433, China
| | - Jin-Huan Lin
- Department of Gastroenterology, Changhai Hospital, The Second Military Medical University, Shanghai 200433, China
| | - Li-Fei Huang
- Department of Respiratory and Critical Care Medicine, Changhai Hospital, The Second Military Medical University, Shanghai 200433; Department of Respiratory, Haining People's Hospital, Jiaxing, Zhejiang 314400, China
| | - Yu-Lan Qu
- Department of Respiratory and Critical Care Medicine, Changhai Hospital, The Second Military Medical University, Shanghai 200433, China
| | - Chong Bai
- Department of Respiratory and Critical Care Medicine, Changhai Hospital, The Second Military Medical University, Shanghai 200433, China
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20
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Fawzy MS, Toraih EA, Aly NM, Fakhr-Eldeen A, Badran DI, Hussein MH. Atherosclerotic and thrombotic genetic and environmental determinants in Egyptian coronary artery disease patients: a pilot study. BMC Cardiovasc Disord 2017; 17:26. [PMID: 28086795 PMCID: PMC5237236 DOI: 10.1186/s12872-016-0456-3] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2016] [Accepted: 12/22/2016] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND Coronary artery disease (CAD) is the leading cause of morbidity and mortality worldwide. Multiple genetic variants in combination with various environmental risk factors have been implicated. This study aimed to investigate the association of twelve thrombotic and atherosclerotic gene variants in combination with other environmental risk factors with CAD risk in a preliminary sample of Egyptian CAD patients. METHODS Twenty three consecutive CAD patients undergoing diagnostic coronary angiography and 34 unrelated controls, have been enrolled in the study. Genotyping was based on polymerase chain reaction and reverse multiplex hybridization. Five genetic association models were tested. Data distribution and variance homogeneity have been checked by Shapiro-Wilk test and Levene test, respectively; then the appropriate comparison test was applied. Spearman's rank correlation coefficient was used for correlation analysis and logistic regression has been performed to adjust for significant risk factors. Clustering the study participants according to gene-gene and gene-environment interaction has been done by Detrended Correspondence Analysis (DCA). RESULTS The univariate analysis indicated that the five variants; rs1800595 (FVR2; factor 5), rs1801133 (MTHFR; 5,10-methylenetetrahydrofolate reductase), rs5918 (HPA-1; human platelet antigen 1), rs1799752 (ACE; angiotensin-converting enzyme), and rs7412 and rs429358 (ApoE; apolipoprotein E) were significantly associated with CAD susceptibility under different genetic models. Multivariate analysis revealed clustering of the study population into three patient groups (P) and one control group. FVR2 was the most variant associated with CAD patients, combined with the factor V Leiden (FVL) variant in P1 cluster and with both ACE and MTHFR 667C > T in P2. Whereas, P3 was mostly affected by both MTHFR 667C > T and FXIII (factor 13) V89L mutations. When combined with traditional risk factors, P1 was mostly affected by dyslipidemia, smoking and hypertension, while P2 was mostly affected by their fasting blood sugar levels and ApoE variant. CONCLUSIONS Taken together, these preliminary results could have predictive value to be applied in refining a risk profile for our CAD patients, in order to implement early preventive interventions including specific antithrombotic therapy. Further large scale and follow-up studies are highly recommended to confirm the study findings.
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Affiliation(s)
- Manal S Fawzy
- Department of Medical Biochemistry, Faculty of Medicine, Suez Canal University, Ismailia, Egypt.
| | - Eman A Toraih
- Department of Histology and Cell Biology (Genetics Unit), Faculty of Medicine, Suez Canal University, Ismailia, Egypt.
| | - Nagwa M Aly
- Department of Medical Biochemistry, Faculty of Medicine, Suez Canal University, Ismailia, Egypt
| | - Abeer Fakhr-Eldeen
- Clinical Pathology Department, Faculty of Medicine, Sohag University, Sohag, Egypt
| | - Dahlia I Badran
- Department of Medical Biochemistry, Faculty of Medicine, Suez Canal University, Ismailia, Egypt
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21
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Apolipoprotein E Gene Variants and Risk of Coronary Heart Disease: A Meta-Analysis. BIOMED RESEARCH INTERNATIONAL 2016; 2016:3912175. [PMID: 27868062 PMCID: PMC5102878 DOI: 10.1155/2016/3912175] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/16/2016] [Accepted: 10/09/2016] [Indexed: 01/06/2023]
Abstract
Objectives. Apo E genes involved in lipoprotein synthesis and metabolism are considered one of the candidates to CHD. However, the results remain conflicting. Methods. We performed this meta-analysis based on 30 published studies including 11,804 CHD patients and 17,713 controls. Results. Compared with the wild genotype E3/3, the variant genotypes ApoEE3/4 and E4/4 were associated with 22% and 45% increased risk of CHD, respectively (E3/4 versus E3/3: OR = 1.22, 95% CI = 1.15–1.29; E4/4 versus E3/3: OR = 1.45, 95% CI = 1.23–1.71). Besides, compared with ε3 allele, carriers with the ε4 allele had a 46% increased risk of CHD (OR = 1.46, 95% CI = 1.28–1.66), while the ε2 had no significantly decreased risk of CHD. In the subgroup analysis by ethnicity, ε4 had a 25% increased risk of CHD in Caucasians (OR = 1.25, 95% CI = 1.11–1.41), and the effects were more evident in Mongolians (OR = 2.29, 95% CI = 1.89–2.77). The ε2 allele had a decreased risk of CHD in Caucasians (OR = 0.84, 95% CI = 0.74–0.96), but not in Mongolians. Conclusions. The analysis suggested that ApoEε4 mutation was associated with the increased risk of CHD, while ApoEε2 allele had a decreased risk of CHD just in Caucasians.
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