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Ng TKS, Beck T, Liu X, Desai P, Holland T, Dhana K, Krueger K, Wilson RS, Evans DA, Rajan KB. Longitudinal associations between lipid panel and cognitive decline modified by APOE 4 carrier status in biracial community-dwelling older adults: Findings from the Chicago health and aging project. Arch Gerontol Geriatr 2025; 134:105825. [PMID: 40179541 PMCID: PMC12058384 DOI: 10.1016/j.archger.2025.105825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2024] [Revised: 02/25/2025] [Accepted: 03/08/2025] [Indexed: 04/05/2025]
Abstract
BACKGROUND There have been contradictory findings on the associations between lipids and cognitive decline (CD), which may be attributed to the heterogeneity in the APOE4 carrier status, given APOE's lipid transportation roles. However, extant studies rarely examined the modifying effects of APOE4 carrier status on the associations between lipids and CD. METHODS We analyzed the Chicago Health and Aging Project, a 20-year cohort study comprising older adults with lipid panel assayed, i.e., total cholesterol (TC), triglycerides (TG), high-density lipoprotein (HDL), and low-density lipoprotein (LDL), and longitudinal cognitive tests. We ran adjusted linear mixed-effects models, regressing cognitive test composite on each of the four lipids independently, first with the total sample and subsequently using interaction and stratified subgroup analyses, examining the modifying effects of APOE4 carrier status on the associations. RESULTS 3,496 biracial community-dwelling older adults were recruited from the South side of Chicago (58% African American & 64% women; mean follow-up = 4.6 years). In the total sample, there was a borderline association between TG and CD, estimate (SD, p-value) = 0.0001 (0.0000,0.0565). No associations were detected with other lipids. In the interaction and subgroup analyses, only in ε4 carriers that higher TC levels were significantly associated with accelerated CD, -0.020 (0.009,0.035), whereas higher TG levels were significantly associated with decelerated CD, 0.001 (0.001,0.045). No modifying effects of ε4 carrier status were detected with other lipids. DISCUSSION Specific lipids, i.e., TC and TG, were associated with CD only in the ε4 carriers, highlighting the potential importance of measuring APOE4 status to better inform risk prediction and treatment.
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Affiliation(s)
- Ted K S Ng
- Rush Institute for Healthy Aging, Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA.
| | - Todd Beck
- Rush Institute for Healthy Aging, Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Xiaoran Liu
- Rush Institute for Healthy Aging, Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Pankaja Desai
- Rush Institute for Healthy Aging, Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Thomas Holland
- Rush University Medical Center, Rush Institute for Healthy Aging & College of Health Sciences, USA
| | - Klodian Dhana
- Rush Institute for Healthy Aging, Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Kristin Krueger
- Rush Institute for Healthy Aging, Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Robert S Wilson
- Rush Alzheimer's Disease Research Center, Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Denis A Evans
- Rush Institute for Healthy Aging, Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Kumar B Rajan
- Rush Institute for Healthy Aging, Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA; Rush Alzheimer's Disease Research Center, Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA
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Wang W, Li X. Cognitive function in dyslipidemia patients: exploring the impact of statins. Front Neurol 2024; 15:1436010. [PMID: 39350969 PMCID: PMC11439768 DOI: 10.3389/fneur.2024.1436010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Accepted: 09/03/2024] [Indexed: 10/04/2024] Open
Abstract
Background Evidence regarding the relationship between the use of statins and cognitive outcomes presents varying findings. This study aims to analyze the relationship between sustained statin use and cognitive performance in dyslipidemia patients. Methods This study presents findings from the Beijing Ageing Brain Rejuvenation Initiative (BABRI) study, in which a cohort of community-dwelling dyslipidemia patients (Entire sample, N = 1,062, aged 50-86) was recruited. Participants were divided into two groups based on their sustained use statins (Statins group, N = 677) or not use any lipid-lowering agents (Untreated group, N = 385). Furthermore, the entire sample was stratified by age into the middle-aged sample (N = 451) and the older people sample (N = 611), following a similar categorization based on statin application. ANCOVA was used to evaluate the relationship between sustained statin use and cognitive function. Results Overall, in the total sample, the statins group demonstrated better cognition in overall cognition, memory, visuospatial ability, attention, executive function, and language domains compared to the untreated group. Moreover, the statins group only showed better performance in attention among the middle-aged sample. In the older people sample, statins group exhibited superior cognitive performance across various cognitive domains compared to untreated group. Conclusion Among dyslipidemia patients in Beijing community, sustained statin users exhibited superior cognitive function across all domains compared to untreated individuals, with particularly noticeable improvements among those aged 65 and above. These findings underscore the protective effect of statins on cognitive function in dyslipidemia patients, highlighting significant benefits for the older people population.
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Affiliation(s)
- Wenxiao Wang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- School of System Science, Beijing Normal University, Beijing, China
| | - Xin Li
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- BABRI Centre, Beijing Normal University, Beijing, China
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Spinedi M, Clark C, Zullo L, Kerksiek A, Pistis G, Castelao E, von Gunten A, Preisig M, Lütjohann D, Popp J. Cholesterol-metabolism, plant sterols, and long-term cognitive decline in older people - Effects of sex and APOEe4. iScience 2024; 27:109013. [PMID: 38327787 PMCID: PMC10847741 DOI: 10.1016/j.isci.2024.109013] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 12/07/2023] [Accepted: 01/22/2024] [Indexed: 02/09/2024] Open
Abstract
Neurodegenerative, vascular, and dementia diseases are linked to dysregulations in cholesterol metabolism. Dietary plant sterols, or phytosterols, may interfere to neurodegeneration and cognitive decline, and have cholesterol-lowering, anti-inflammatory, and antioxidant qualities. Here, we investigated the potential associations between circulating cholesterol precursors and metabolites, triglycerides, and phytosterols with cognitive decline in older people by performing multivariate analysis on 246 participants engaged in a population-based prospective study. In our analysis we considered the potential effect of sex and APOEe4. We reveal particular dysregulations of diet-derived phytosterols and endogenous cholesterol synthesis and metabolism, and their variations over time linked to cognitive decline in the general population. These results are significant to the development of interventions to avoid cognitive decline in older adults and suggest that levels of circulating sterols should be taken into account when evaluating risk.
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Affiliation(s)
- Matteo Spinedi
- University Hospital of Psychiatry and University of Zürich, Zürich, Switzerland
| | - Christopher Clark
- University Hospital of Psychiatry and University of Zürich, Zürich, Switzerland
| | - Leonardo Zullo
- Service of Old Age Psychiatry, Department of Psychiatry, University Hospital of Lausanne, Lausanne, Switzerland
| | - Anja Kerksiek
- Institute of Clinical Chemistry and Clinical Pharmacology, University Hospital Bonn, Bonn, Germany
| | - Giorgio Pistis
- Psychiatric Epidemiology and Psychopathology Research Center, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Enrique Castelao
- Psychiatric Epidemiology and Psychopathology Research Center, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Armin von Gunten
- Service of Old Age Psychiatry, Department of Psychiatry, University Hospital of Lausanne, Lausanne, Switzerland
| | - Martin Preisig
- Psychiatric Epidemiology and Psychopathology Research Center, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Dieter Lütjohann
- Institute of Clinical Chemistry and Clinical Pharmacology, University Hospital Bonn, Bonn, Germany
| | - Julius Popp
- University Hospital of Psychiatry and University of Zürich, Zürich, Switzerland
- Service of Old Age Psychiatry, Department of Psychiatry, University Hospital of Lausanne, Lausanne, Switzerland
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4
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Cachide M, Carvalho L, Rosa IM, Wiltfang J, Henriques AG, da Cruz e Silva OAB. BIN1 rs744373 SNP and APOE alleles specifically associate to common diseases. FRONTIERS IN DEMENTIA 2022; 1:1001113. [PMID: 39081475 PMCID: PMC11285651 DOI: 10.3389/frdem.2022.1001113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 10/12/2022] [Indexed: 08/02/2024]
Abstract
APOE ε4 and BIN1 are the two main genetic risk factors for sporadic Alzheimer's Disease (AD). Among several BIN1 variants, the rs744373 is frequently associated with AD risk by contributing to tau pathology and poor cognitive performance. This study addressed the association of APOE and BIN1 rs744373 to specific characteristics in a Portuguese primary care-based study group, denoted pcb-Cohort. The study included 590 participants from five primary care health centers in the Aveiro district of Portugal. Individuals were evaluated and scored for cognitive and clinical characteristics, and blood samples were collected from the volunteers meeting the inclusion and exclusion criteria (N = 505). APOE and BIN1 genotypes were determined, and their association with cognitive characteristics and other diseases that might contribute to cognitive deficits, namely depression, hypertension, type 2 diabetes, dyslipidemia, osteoarticular diseases, gastrointestinal diseases, cardiovascular and respiratory diseases, was assessed. The diseases attributed to the study group were those previously diagnosed and confirmed by specialists. The results generated through multivariate analysis show that APOE ε4 carriers significantly associated with poorer cognitive performance (OR = 2.527; p = 0.031). Additionally, there was a significant risk of dyslipidemia for APOE ε4 carriers (OR = 1.804; p = 0.036), whereas BIN1 rs744373 risk-allele carriers were at a significantly lower risk of having dyslipidemia (OR = 0.558; p = 0.006). Correlations were evident for respiratory diseases in which APOE ε4 showed a protective tendency (OR = 0.515; p = 0.088), and BIN1 had a significative protective profile (OR = 0.556; p = 0.026). Not of statistical significance, APOE ε2 showed a trend to protect against type 2 diabetes (OR = 0.342; p = 0.093), in contrast BIN1 rs744373 risk-allele carriers were more likely to exhibit the disease (OR = 1.491; p = 0.099). The data here presented clearly show, for the first time, that the two top genetic risk factors for sporadic AD impact a similar group of common diseases, namely dyslipidemia, respiratory diseases, and type 2 diabetes.
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Affiliation(s)
- Maria Cachide
- Neurosciences and Signalling Group, Medical Sciences Department, Institute of Biomedicine - iBiMED, University of Aveiro, Aveiro, Portugal
| | - Liliana Carvalho
- Neurosciences and Signalling Group, Medical Sciences Department, Institute of Biomedicine - iBiMED, University of Aveiro, Aveiro, Portugal
| | - Ilka Martins Rosa
- Neurosciences and Signalling Group, Medical Sciences Department, Institute of Biomedicine - iBiMED, University of Aveiro, Aveiro, Portugal
| | - Jens Wiltfang
- Neurosciences and Signalling Group, Medical Sciences Department, Institute of Biomedicine - iBiMED, University of Aveiro, Aveiro, Portugal
- Department of Psychiatry and Psychotherapy, University Medical Centre Goettingen (UMG), Georg-August University, Goettingen, Germany
- German Centre for Neurodegenerative Diseases (DZNE), Goettingen, Germany
| | - Ana Gabriela Henriques
- Neurosciences and Signalling Group, Medical Sciences Department, Institute of Biomedicine - iBiMED, University of Aveiro, Aveiro, Portugal
| | - Odete A. B. da Cruz e Silva
- Neurosciences and Signalling Group, Medical Sciences Department, Institute of Biomedicine - iBiMED, University of Aveiro, Aveiro, Portugal
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5
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Fu J, Huang Y, Bao T, Ou R, Wei Q, Chen Y, Yang J, Chen X, Shang H. Effects of Sex on the Relationship Between Apolipoprotein E Gene and Serum Lipid Profiles in Alzheimer’s Disease. Front Aging Neurosci 2022; 14:844066. [PMID: 35707700 PMCID: PMC9190463 DOI: 10.3389/fnagi.2022.844066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 04/08/2022] [Indexed: 11/13/2022] Open
Abstract
Background Sex is an important factor in studying the relationship between the APOE gene, lipid profiles, and AD. However, few studies have focused on the effect of sex on lipids in AD and normal controls with different APOE genes. Materials and Methods A total of 549 participants, including 298 AD patients and 251 body mass index (BMI)-matched healthy controls (HCs), were enrolled. Lipid profiles and APOE genes in both AD patients and HCs were determined. Results (1) TC and LDL were higher in AD patients than in HCs, only in APOEε4 carrying populations, but not in non-carrying populations. (2) TC and LDL were higher in APOEε4 allele carriers than in non-carriers, only in AD populations, but not in HCs. (3) The TC of APOEε2 carriers was lower than that of non-carriers in the male AD population, but not in the female AD population, female HCs, and male HCs. (4) The increased LDL level may increase the risk of AD in female people carrying APOEε4. Conclusion The TC and LDL levels of APOEε4 carriers were higher than those of non-carriers, and the effect was more significant in the female AD population. The TC levels in APOEε2 carriers were lower than those in non-carriers, which was more significant in the male AD population.
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Affiliation(s)
- Jiajia Fu
- Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Yan Huang
- Health Management Center, West China Hospital, Sichuan University, Chengdu, China
| | - Ting Bao
- Health Management Center, West China Hospital, Sichuan University, Chengdu, China
| | - Ruwei Ou
- Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Qianqian Wei
- Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Yongping Chen
- Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Jing Yang
- Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Xueping Chen
- Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
- *Correspondence: Xueping Chen,
| | - Huifang Shang
- Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
- Huifang Shang,
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6
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Ni X, Bai C, Nie C, Qi L, Liu Y, Yuan H, Zhu X, Sun L, Zhou Q, Li Y, Zhen H, Su H, Li R, Lan R, Pang G, Lv Y, Zhang W, Yang F, Yao Y, Chen C, Wang Z, Gao D, Zhang N, Zhang S, Zhang L, Wu Z, Hu C, Zeng Y, Yang Z. Identification and replication of novel genetic variants of ABO gene to reduce the incidence of diseases and promote longevity by modulating lipid homeostasis. Aging (Albany NY) 2021; 13:24655-24674. [PMID: 34812738 PMCID: PMC8660604 DOI: 10.18632/aging.203700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Accepted: 09/10/2021] [Indexed: 11/29/2022]
Abstract
Genes related to human longevity have not been studied so far, and need to be investigated thoroughly. This study aims to explore the relationship among ABO gene variants, lipid levels, and longevity phenotype in individuals (≥90yrs old) without adverse outcomes. A genotype-phenotype study was performed based on 5803 longevity subjects and 7026 younger controls from the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Four ABO gene variants associated with healthy longevity (rs8176719 C, rs687621 G, rs643434 A, and rs505922 C) were identified and replicated in the CLHLS GWAS data analysis and found significantly higher in longevity individuals than controls. The Bonferroni adjusted p-value and OR range were 0.013-0.020 and 1.126-1.151, respectively. According to the results of linkage disequilibrium (LD) analysis, the above four variants formed a block on the ABO gene (D’=1, r2range = 0.585-0.995). The carriers with genotypes rs687621 GG, rs643434 AX, or rs505922 CX (prange = 2.728 x 10-107-5.940 x 10-14; ORrange = 1.004-4.354) and haplotype CGAC/XGXX (p = 2.557 x 10-27; OR = 2.255) had a substantial connection with longevity, according to the results of genetic model analysis. Following the genotype and metabolic phenotype analysis, it has been shown that the longevity individuals with rs687621 GG, rs643434 AX, and rs505922 CX had a positive association with HDL-c, LDL-c, TC, TG (prange = 2.200 x 10-5-0.036, ORrange = 1.546-1.709), and BMI normal level (prange = 2.690 x 10-4-0.026, ORrange = 1.530-1.997). Finally, two pathways involving vWF/ADAMTS13 and the inflammatory markers (sE-selectin/ICAM1) that co-regulated lipid levels by glycosylation and effects on each other were speculated. In conclusion, the association between the identified longevity-associated ABO variants and better health lipid profile was elucidated, thus the findings can help in maintaining normal lipid metabolic phenotypes in the longevity population.
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Affiliation(s)
- Xiaolin Ni
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China.,Graduate School of Peking Union Medical College, Chinese Academy of Medical Science, Beijing 100730, P.R. China
| | - Chen Bai
- Center for the Study of Aging and Human Development and Geriatrics Division, Medical School of Duke University, Durham, NC 27708, USA.,Center for Healthy Aging and Development Studies, National School of Development, Peking University, Beijing 100871, P.R. China
| | - Chao Nie
- BGI-Shenzhen, Shenzhen, Guangdong 518083, P.R. China
| | - Liping Qi
- College of Science and Technology, Hebei Agricultural University, Cangzhou 061100, Hebei, P.R. China
| | - Yifang Liu
- Joint Graduate Program of Peking-Tsinghua-NIBS, School of Life Sciences, Tsinghua University, Beijing 100084, P.R. China
| | - Huiping Yuan
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
| | - Xiaoquan Zhu
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
| | - Liang Sun
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
| | - Qi Zhou
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
| | - Yan Li
- BGI-Shenzhen, Shenzhen, Guangdong 518083, P.R. China
| | - Hefu Zhen
- BGI-Shenzhen, Shenzhen, Guangdong 518083, P.R. China
| | - Huabing Su
- Jiangbin Hospital, Guangxi Zhuang Autonomous Region, Nanning 530021, P.R. China
| | - Rongqiao Li
- Jiangbin Hospital, Guangxi Zhuang Autonomous Region, Nanning 530021, P.R. China
| | - Rushu Lan
- Jiangbin Hospital, Guangxi Zhuang Autonomous Region, Nanning 530021, P.R. China
| | - Guofang Pang
- Jiangbin Hospital, Guangxi Zhuang Autonomous Region, Nanning 530021, P.R. China
| | - Yuan Lv
- Jiangbin Hospital, Guangxi Zhuang Autonomous Region, Nanning 530021, P.R. China
| | - Wei Zhang
- Jiangbin Hospital, Guangxi Zhuang Autonomous Region, Nanning 530021, P.R. China
| | - Fan Yang
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China.,Graduate School of Peking Union Medical College, Chinese Academy of Medical Science, Beijing 100730, P.R. China
| | - Yao Yao
- Center for the Study of Aging and Human Development and Geriatrics Division, Medical School of Duke University, Durham, NC 27708, USA.,Center for Healthy Aging and Development Studies, National School of Development, Peking University, Beijing 100871, P.R. China
| | - Chen Chen
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
| | - Zhaoping Wang
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
| | - Danni Gao
- Peking University Fifth School of Clinical Medicine, Beijing 100191, P.R. China
| | - Nan Zhang
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
| | - Shenqi Zhang
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China.,Graduate School of Peking Union Medical College, Chinese Academy of Medical Science, Beijing 100730, P.R. China
| | - Li Zhang
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China.,Graduate School of Peking Union Medical College, Chinese Academy of Medical Science, Beijing 100730, P.R. China
| | - Zhu Wu
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
| | - Caiyou Hu
- Jiangbin Hospital, Guangxi Zhuang Autonomous Region, Nanning 530021, P.R. China
| | - Yi Zeng
- Center for the Study of Aging and Human Development and Geriatrics Division, Medical School of Duke University, Durham, NC 27708, USA.,Center for Healthy Aging and Development Studies, National School of Development, Peking University, Beijing 100871, P.R. China
| | - Ze Yang
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China.,Graduate School of Peking Union Medical College, Chinese Academy of Medical Science, Beijing 100730, P.R. China
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7
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Ni X, Wang Z, Gao D, Yuan H, Sun L, Zhu X, Zhou Q, Yang Z. A description of the relationship in healthy longevity and aging-related disease: from gene to protein. Immun Ageing 2021; 18:30. [PMID: 34172062 PMCID: PMC8229348 DOI: 10.1186/s12979-021-00241-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Accepted: 06/14/2021] [Indexed: 11/22/2022]
Abstract
Human longevity is a complex phenotype influenced by both genetic and environmental factors. It is also known to be associated with various types of age-related diseases, such as Alzheimer's disease (AD) and cardiovascular disease (CVD). The central dogma of molecular biology demonstrates the conversion of DNA to RNA to the encoded protein. These proteins interact to form complex cell signaling pathways, which perform various biological functions. With prolonged exposure to the environment, the in vivo homeostasis adapts to the changes, and finally, humans adopt the phenotype of longevity or aging-related diseases. In this review, we focus on two different states: longevity and aging-related diseases, including CVD and AD, to discuss the relationship between genetic characteristics, including gene variation, the level of gene expression, regulation of gene expression, the level of protein expression, both genetic and environmental influences and homeostasis based on these phenotypes shown in organisms.
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Affiliation(s)
- Xiaolin Ni
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, P.R. China
- Graduate School of Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100001, P.R. China
| | - Zhaoping Wang
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, P.R. China
| | - Danni Gao
- Peking University Fifth School of Clinical Medicine, Beijing Hospital, Beijing, P.R. China
| | - Huiping Yuan
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, P.R. China
| | - Liang Sun
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, P.R. China
| | - Xiaoquan Zhu
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, P.R. China
| | - Qi Zhou
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, P.R. China
| | - Ze Yang
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, P.R. China.
- Graduate School of Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100001, P.R. China.
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8
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Identification of cardiovascular health gene variants related to longevity in a Chinese population. Aging (Albany NY) 2020; 12:16775-16802. [PMID: 32897244 PMCID: PMC7521493 DOI: 10.18632/aging.103396] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2020] [Accepted: 05/25/2020] [Indexed: 01/24/2023]
Abstract
Cardiovascular disease (CVD) is one of the most important causes of human death, but no attention has been paid to cardiovascular health genes related to healthy longevity. Therefore, we developed a cohort study to explore such genes in healthy, long-lived Chinese subjects. A total of 13275 healthy elderly people were enrolled, including 5107 healthy long-lived individuals and 8168 age-matched control individuals with low CVD risk. Using a combination of whole-exome sequencing (WES) and genome-wide association studies (GWAS), we identified 2 genetic variants (TFPI rs7586970 T, p=0.013, OR=1.100. ADAMTS7 rs3825807 A, p=0.017, OR=1.198) associated with healthy lipid metabolism and longevity. Furthermore, we showed that an interaction among TFPI rs7586970, ADAMTS7 rs3825807 and APOE ɛ3 maintained normal blood lipid levels in centenarians by stratified analysis of CVD risk factors. Finally, through biological function analysis, we revealed clues regarding the mechanism of factor related to cardiovascular health (FCH) such as lipids and longevity. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis indicated that the two variants above may be associated with longevity via FCH lipid metabolism pathways. From a meta-analysis of venous thrombosis patients, we unexpectedly found that rs7586970 T is associated with both longevity and protection against vascular disease.
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9
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Sull JW, Kim S, Jee SH. Effects of Obesity and Family History of Diabetes on the Association of CETP rs6499861 with HDL-C Level in Korean Populations. J Lipid Atheroscler 2020; 8:252-257. [PMID: 32821715 PMCID: PMC7379118 DOI: 10.12997/jla.2019.8.2.252] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Revised: 06/21/2019] [Accepted: 08/20/2019] [Indexed: 11/17/2022] Open
Abstract
Objectives The aim of this study was to examine the associations of cholesterol ester transfer protein (CETP) rs6499861 and rs12708980 with high-density lipoprotein cholesterol (HDL-C) considering obesity and family history of diabetes (FHD) in Korean men and women. Methods We analyzed the association of CETP single nucleotide polymorphisms (SNPs) with HDL-C among individuals selected from a hospital (n=4 294) and the Bundang-gu area in Korea (n=2 304). Results We found that the CETP SNP rs6499861 was associated with a lower HDL-C level (effect per allele: −2.044 mg/dL, p<0.0001). Individuals with a rs6499861 CG/GG genotype had a 1.45-fold higher risk of an abnormal level of HDL-C (<40 mg/dL) than those with a CC genotype. This genotype-HDL-C association was stronger in women (odds ratio [OR], 1.99; 95% confidence interval [CI], 1.39–2.85) compared with men (OR, 1.33; 95% CI, 1.10–1.61) and in women with a FHD (OR, 4.82; 95% CI, 1.86–12.5; p=0.0012) compared with women without a family history. Relative to individuals with a CC genotype and body mass index (BMI) <25.69 kg/m2, individuals with a CG/GG genotype and BMI ≥25.69 kg/m2 had an OR (95% CI) of 2.61 (1.97–3.47). Conclusions These findings indicate that CETP variants are linked to HDL-C level in Koreans and that this link is stronger in obese men and in women who have a FHD.
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Affiliation(s)
- Jae Woong Sull
- Department of Biomedical Laboratory Science, College of Health Sciences, Eulji University, Seongnam, Korea
| | - Soriul Kim
- Institute for Human Genomic Study, College of Medicine, Korea University, Seoul, Korea
| | - Sun Ha Jee
- Department of Epidemiology and Health Promotion, Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Korea
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10
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There is an association between a genetic polymorphism in the ZNF259 gene involved in lipid metabolism and coronary artery disease. Gene 2019; 704:80-85. [PMID: 30902787 DOI: 10.1016/j.gene.2019.02.101] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2018] [Revised: 02/09/2019] [Accepted: 02/22/2019] [Indexed: 11/22/2022]
Abstract
BACKGROUND Recent genome-wide association studies (GWAS) have identified several genetic variants that influence the risk of dyslipidemia and coronary artery disease (CAD). In this study, we have examined the potential association of five SNPs variants related to lipid pathway, previously identified in GWAS studies (ZNF259 C>G, CETP I405VA/G, LPA C>T, LPLS447X and PSRC1 A>G) with CAD. METHODS Two hundred and ninety subjects including 194 patients with coronary artery disease and 96 controls were enrolled, followed by the analyses of anthropometric/biochemical parameters. Genotyping was carried out using Taq-Man real-time PCR based method. The association of the genetic polymorphisms with CAD was determined using univariate and multivariate analyses. RESULTS CAD patients had a higher (p < 0.05) fasting blood glucose (FBG), total cholesterol (TC), high sensitivity C-reactive protein (hs-CRP), low-density lipoprotein cholesterol (LDL-C) and waist circumference. Results showed that subjects with CETP rs5882 genetic variant, AA&AG genotypes, had a higher risk of developing Coronary artery disease [OR: 2.1, 95% CI (1.2-4.1), p value = 0.015]. Also subjects who carried the G allele of the ZNF259 polymorphism were at an increased the risk of developing CAD [OR 1.86, 95% CI: 1.06-3.25, p value = 0.029] and had an increased TC, LDL and TG levels (p < 0.05). Furthermore, no statistically significant association was found between genetic polymorphisms of PSRC1 A>G, LPL S447X and LPA C>T and CAD. CONCLUSION We identified a relationship between a genetic variant in CETP and ZNF259 gene with CAD and CAD and lipid profile, respectively. Further investigation in a larger population may help to investigate the value of emerging marker as a risk stratification marker in CAD and its risk factors.
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11
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Yashin AI, Fang F, Kovtun M, Wu D, Duan M, Arbeev K, Akushevich I, Kulminski A, Culminskaya I, Zhbannikov I, Yashkin A, Stallard E, Ukraintseva S. Hidden heterogeneity in Alzheimer's disease: Insights from genetic association studies and other analyses. Exp Gerontol 2018; 107:148-160. [PMID: 29107063 PMCID: PMC5920782 DOI: 10.1016/j.exger.2017.10.020] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2017] [Revised: 10/20/2017] [Accepted: 10/22/2017] [Indexed: 02/08/2023]
Abstract
Despite evident success in clarifying many important features of Alzheimer's disease (AD) the efficient methods of its prevention and treatment are not yet available. The reasons are likely to be the fact that AD is a multifactorial and heterogeneous health disorder with multiple alternative pathways of disease development and progression. The availability of genetic data on individuals participated in longitudinal studies of aging health and longevity, as well as on participants of cross-sectional case-control studies allow for investigating genetic and non-genetic connections with AD and to link the results of these analyses with research findings obtained in clinical, experimental, and molecular biological studies of this health disorder. The objective of this paper is to perform GWAS of AD in several study populations and investigate possible roles of detected genetic factors in developing AD hallmarks and in other health disorders. The data collected in the Framingham Heart Study (FHS), Cardiovascular Health Study (CHS), Health and Retirement Study (HRS) and Late Onset Alzheimer's Disease Family Study (LOADFS) were used in these analyses. The logistic regression and Cox's regression were used as statistical models in GWAS. The results of analyses confirmed strong associations of genetic variants from well-known genes APOE, TOMM40, PVRL2 (NECTIN2), and APOC1 with AD. Possible roles of these genes in pathological mechanisms resulting in development of hallmarks of AD are described. Many genes whose connection with AD was detected in other studies showed nominally significant associations with this health disorder in our study. The evidence on genetic connections between AD and vulnerability to infection, as well as between AD and other health disorders, such as cancer and type 2 diabetes, were investigated. The progress in uncovering hidden heterogeneity in AD would be substantially facilitated if common mechanisms involved in development of AD, its hallmarks, and AD related chronic conditions were investigated in their mutual connection.
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Affiliation(s)
- Anatoliy I Yashin
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, 2024 W. Main Street, Durham, NC 27705, USA.
| | - Fang Fang
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, 2024 W. Main Street, Durham, NC 27705, USA
| | - Mikhail Kovtun
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, 2024 W. Main Street, Durham, NC 27705, USA
| | - Deqing Wu
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, 2024 W. Main Street, Durham, NC 27705, USA
| | - Matt Duan
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, 2024 W. Main Street, Durham, NC 27705, USA
| | - Konstantin Arbeev
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, 2024 W. Main Street, Durham, NC 27705, USA
| | - Igor Akushevich
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, 2024 W. Main Street, Durham, NC 27705, USA
| | - Alexander Kulminski
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, 2024 W. Main Street, Durham, NC 27705, USA
| | - Irina Culminskaya
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, 2024 W. Main Street, Durham, NC 27705, USA
| | - Ilya Zhbannikov
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, 2024 W. Main Street, Durham, NC 27705, USA
| | - Arseniy Yashkin
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, 2024 W. Main Street, Durham, NC 27705, USA
| | - Eric Stallard
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, 2024 W. Main Street, Durham, NC 27705, USA
| | - Svetlana Ukraintseva
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, 2024 W. Main Street, Durham, NC 27705, USA.
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12
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Longitudinal lipid profile variations and clinical change in Alzheimer's disease dementia. Neurosci Lett 2017; 646:36-42. [PMID: 28274859 DOI: 10.1016/j.neulet.2017.03.003] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2017] [Revised: 02/19/2017] [Accepted: 03/02/2017] [Indexed: 01/04/2023]
Abstract
Hypercholesterolemia and statin use have been unevenly associated with clinical change in Alzheimer's disease dementia. In this longitudinal study, 192 consecutive outpatients with late-onset Alzheimer's disease dementia were stratified according to APOE haplotypes, and followed for one year to investigate associations of lipid profile variations and lipophilic statin therapy with changes in cognition, caregiver burden, basic and instrumental functionality. Overall, 102 patients (53.1%) carried APOE4+ haplotypes and 90 (46.9%) carried APOE4- haplotypes; 189 patients (98.4%) used either a cholinesterase inhibitor, or Memantine, or both; 144 patients had dyslipidemias and 143 of them received statin therapy. Total cholesterol, LDL-cholesterol, Mini-Mental State Examination scores, and functional independence scores were significantly lower at the end of the follow-up, while Clinical Dementia Rating sum-of-boxes scores were higher. Exclusively for APOE4- carriers, rising LDL-cholesterol levels were associated with a trend toward improvements in the Index of Independence in Activities of Daily Living (β=0.010; ρ=0.16), whereas rising HDL-cholesterol levels were associated with lowered scores (β=-0.051; ρ=0.04). Lipophilic statin therapy had non-significant protective effects over Clinical Dementia Rating sum-of-boxes score variations only for APOE4- carriers. APOE4- haplotypes might enhance lipid availability to protect neuronal membranes, thus overcoming their supposed dysfunction in cholesterol metabolism, while APOE4+ carriers have inefficient neural repair mechanisms. In conclusion, APOE haplotypes seem to influence the protective effects of lipid profile variations for patients with Alzheimer's disease dementia, but current evidence is insufficient to propose lipid-lowering drugs as specific anti-dementia therapy.
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13
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van Leeuwen EM, Huffman JE, Bis JC, Isaacs A, Mulder M, Sabo A, Smith AV, Demissie S, Manichaikul A, Brody JA, Feitosa MF, Duan Q, Schraut KE, Navarro P, van Vliet-Ostaptchouk JV, Zhu G, Mbarek H, Trompet S, Verweij N, Lyytikäinen LP, Deelen J, Nolte IM, van der Laan SW, Davies G, Vermeij-Verdoold AJ, van Oosterhout AA, Vergeer-Drop JM, Arking DE, Trochet H, Medina-Gomez C, Rivadeneira F, Uitterlinden AG, Dehghan A, Franco OH, Sijbrands EJ, Hofman A, White CC, Mychaleckyj JC, Peloso GM, Swertz MA, Willemsen G, de Geus EJ, Milaneschi Y, Penninx BW, Ford I, Buckley BM, de Craen AJ, Starr JM, Deary IJ, Pasterkamp G, Oldehinkel AJ, Snieder H, Slagboom PE, Nikus K, Kähönen M, Lehtimäki T, Viikari JS, Raitakari OT, van der Harst P, Jukema JW, Hottenga JJ, Boomsma DI, Whitfield JB, Montgomery G, Martin NG, Polasek O, Vitart V, Hayward C, Kolcic I, Wright AF, Rudan I, Joshi PK, Wilson JF, Lange LA, Wilson JG, Gudnason V, Harris TB, Morrison AC, Borecki IB, Rich SS, Padmanabhan S, Psaty BM, Rotter JI, Smith BH, Boerwinkle E, Cupples LA, van Duijn C. Fine mapping the CETP region reveals a common intronic insertion associated to HDL-C. NPJ Aging Mech Dis 2015; 1:15011. [PMID: 28721259 PMCID: PMC5514988 DOI: 10.1038/npjamd.2015.11] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2015] [Revised: 07/24/2015] [Accepted: 08/10/2015] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Individuals with exceptional longevity and their offspring have significantly larger high-density lipoprotein concentrations (HDL-C) particle sizes due to the increased homozygosity for the I405V variant in the cholesteryl ester transfer protein (CETP) gene. In this study, we investigate the association of CETP and HDL-C further to identify novel, independent CETP variants associated with HDL-C in humans. METHODS We performed a meta-analysis of HDL-C within the CETP region using 59,432 individuals imputed with 1000 Genomes data. We performed replication in an independent sample of 47,866 individuals and validation was done by Sanger sequencing. RESULTS The meta-analysis of HDL-C within the CETP region identified five independent variants, including an exonic variant and a common intronic insertion. We replicated these 5 variants significantly in an independent sample of 47,866 individuals. Sanger sequencing of the insertion within a single family confirmed segregation of this variant. The strongest reported association between HDL-C and CETP variants, was rs3764261; however, after conditioning on the five novel variants we identified the support for rs3764261 was highly reduced (βunadjusted=3.179 mg/dl (P value=5.25×10-509), βadjusted=0.859 mg/dl (P value=9.51×10-25)), and this finding suggests that these five novel variants may partly explain the association of CETP with HDL-C. Indeed, three of the five novel variants (rs34065661, rs5817082, rs7499892) are independent of rs3764261. CONCLUSIONS The causal variants in CETP that account for the association with HDL-C remain unknown. We used studies imputed to the 1000 Genomes reference panel for fine mapping of the CETP region. We identified and validated five variants within this region that may partly account for the association of the known variant (rs3764261), as well as other sources of genetic contribution to HDL-C.
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Affiliation(s)
| | - Jennifer E Huffman
- MRC Human Genetics Unit, MRC IGMM, University of Edinburgh, Edinburgh, UK.,National Heart, Lung, and Blood Institute (NHLBI) Cardiovascular Epidemiology and Human Genomics Branch, Framingham Heart Study, Framingham, MA, USA
| | - Joshua C Bis
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Aaron Isaacs
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Monique Mulder
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Aniko Sabo
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Albert V Smith
- Icelandic Heart Association, Kopavogur, Iceland.,Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Serkalem Demissie
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Ani Manichaikul
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Jennifer A Brody
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Mary F Feitosa
- Department of Genetics, Washington University School of Medicine, St Louis, MO, USA
| | - Qing Duan
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Katharina E Schraut
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, Scotland
| | - Pau Navarro
- MRC Human Genetics Unit, MRC IGMM, University of Edinburgh, Edinburgh, UK
| | - Jana V van Vliet-Ostaptchouk
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Gu Zhu
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Hamdi Mbarek
- Department of Biological Psychology, VU University Amsterdam and EMGO Institute for Health and Care Research, Amsterdam, The Netherlands
| | - Stella Trompet
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.,Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - Niek Verweij
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories and University of Tampere School of Medicine, Tampere, Finland
| | - Joris Deelen
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Ilja M Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | | | - Gail Davies
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.,Department of Psychology, University of Edinburgh, Edinburgh, UK
| | | | | | | | - Dan E Arking
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Holly Trochet
- MRC Human Genetics Unit, MRC IGMM, University of Edinburgh, Edinburgh, UK
| | | | - Carolina Medina-Gomez
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Fernando Rivadeneira
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Andre G Uitterlinden
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Oscar H Franco
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Eric J Sijbrands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Albert Hofman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Charles C White
- Program in Translational NeuroPsychiatric Genomics, Institute for the Neurosciences, Departments of Neurology and Psychiatry, Brigham and Women's Hospital, Boston, MA, USA.,Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA.,Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital, Boston, MA, USA
| | - Josyf C Mychaleckyj
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Gina M Peloso
- Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital, Boston, MA, USA.,Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA.,Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Morris A Swertz
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | | | - Gonneke Willemsen
- Department of Biological Psychology, VU University Amsterdam and EMGO Institute for Health and Care Research, Amsterdam, The Netherlands
| | - Eco J de Geus
- Department of Biological Psychology, VU University Amsterdam and EMGO Institute for Health and Care Research, Amsterdam, The Netherlands
| | - Yuri Milaneschi
- Department of Psychiatry, VU University Medical Center Amsterdam/GGZinGeest and EMGO Institute for Health and Care Research and Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
| | - Brenda Wjh Penninx
- Department of Psychiatry, VU University Medical Center Amsterdam/GGZinGeest and EMGO Institute for Health and Care Research and Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
| | - Ian Ford
- Robertson Center for Biostatistics, University of Glasgow, Glasgow, UK
| | - Brendan M Buckley
- Department of Pharmacology and Therapeutics, University College Cork, Cork, Ireland.,Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK
| | - Anton Jm de Craen
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - John M Starr
- Department of Pharmacology and Therapeutics, University College Cork, Cork, Ireland.,Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.,Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Gerard Pasterkamp
- Laboratory of Clinical Chemistry and Hematology, Division Laboratories & Pharmacy, UMC Utrecht, Utrecht, the Netherlands
| | - Albertine J Oldehinkel
- Interdisciplinary Center Psychopathology and Emotion Regulation, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - P Eline Slagboom
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Kjell Nikus
- Department of Cardiology, Heart Centre, Tampere University Hospital and University of Tampere School of Medicine, Tampere, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital and University of Tampere School of Medicine, Tampere, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories and University of Tampere School of Medicine, Tampere, Finland
| | - Jorma S Viikari
- Division of Medicine, Turku University Hospital, and Department of Medicine, University of Turku, Turku, Finland
| | - Olli T Raitakari
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, and Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.,Molecular Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Pim van der Harst
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jouke-Jan Hottenga
- Department of Biological Psychology, VU University Amsterdam and EMGO Institute for Health and Care Research, Amsterdam, The Netherlands
| | - Dorret I Boomsma
- Department of Biological Psychology, VU University Amsterdam and EMGO Institute for Health and Care Research, Amsterdam, The Netherlands
| | - John B Whitfield
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Grant Montgomery
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, and Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.,Molecular Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Nicholas G Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | | | - Ozren Polasek
- Department of Public Health, Faculty of Medicine, University of Split, Split, Croatia
| | - Veronique Vitart
- MRC Human Genetics Unit, MRC IGMM, University of Edinburgh, Edinburgh, UK
| | - Caroline Hayward
- MRC Human Genetics Unit, MRC IGMM, University of Edinburgh, Edinburgh, UK
| | - Ivana Kolcic
- Department of Public Health, Faculty of Medicine, University of Split, Split, Croatia
| | - Alan F Wright
- MRC Human Genetics Unit, MRC IGMM, University of Edinburgh, Edinburgh, UK
| | - Igor Rudan
- Centre for Population Health Sciences, Medical School, University of Edinburgh, Edinburgh, UK
| | - Peter K Joshi
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, Scotland
| | - James F Wilson
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, Scotland
| | - Leslie A Lange
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - James G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, USA
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland.,Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Tamar B Harris
- National Institute on Aging, National Institute of Health, Bethesda, MD, USA
| | - Alanna C Morrison
- Human Genetics Center, The University of Texas School of Public Health, Houston, TX, USA
| | - Ingrid B Borecki
- Department of Genetics, Washington University School of Medicine, St Louis, MO, USA
| | - Stephen S Rich
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Sandosh Padmanabhan
- Division of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Bruce M Psaty
- Department of Medicine, Epidemiology & Health Services, University of Washington, Seattle, WA, USA.,Group Health Research Institute, Group Health cooperative, Seattle, WA, USA
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA.,Division of Genomic Outcomes, Departments of Pediatrics and Medicine, Harbor-UCLA Medical Center, Torrance, CA, USA.,Departments of Pediatrics, Medicine, and Human Genetics, UCLA, Los Angeles, CA, USA
| | - Blair H Smith
- Medical Research Institute, University of Dundee, Dundee, UK
| | - Eric Boerwinkle
- Human Genetics Center, The University of Texas School of Public Health, Houston, TX, USA
| | - L Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.,Framingham Heart Study, Framingham, MA, USA
| | - Cornelia van Duijn
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
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14
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Miller NE. Cholesteryl ester transfer protein: ace of spades, queen of hearts, or the joker? Front Pharmacol 2015; 6:145. [PMID: 26236237 PMCID: PMC4500898 DOI: 10.3389/fphar.2015.00145] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2015] [Accepted: 06/29/2015] [Indexed: 11/13/2022] Open
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15
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Sun L, Hu C, Qian Y, Zheng C, Liang Q, Lv Z, Huang Z, Qi K, Huang J, Zhou Q, Yang Z. Age-Based Differences in the Genetic Determinants of Glycemic Control: A Case of FOXO3 Variations. PLoS One 2015; 10:e0126696. [PMID: 25993007 PMCID: PMC4439071 DOI: 10.1371/journal.pone.0126696] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2014] [Accepted: 04/06/2015] [Indexed: 12/21/2022] Open
Abstract
Background Glucose homeostasis is a trait of healthy ageing and is crucial to the elderly, but less consideration has been given to the age composition in most studies involving genetics and hyperglycemia. Methods Seven variants in FOXO3 were genotyped in three cohorts (n = 2037; LLI, MI_S and MI_N; mean age: 92.5±3.6, 45.9±8.2 and 46.8±10.3, respectively) to compare the contribution of FOXO3 to fasting hyperglycemia (FH) between long-lived individuals (LLI, aged over 90 years) and middle-aged subjects (aged from 35–65 years). Results A different genetic predisposition of FOXO3 alleles to FH was observed between LLI and both of two middle-aged cohorts. In the LLI cohort, the longevity beneficial alleles of three variants with the haplotype “AGGC” in block 1 were significantly protective to FH, fasting glucose, hemoglobin A1C and HOMA-IR. Notably, combining multifactor dimensionality reduction and logistic regression, we identified a significant 3-factor interaction model (rs2802288, rs2802292 and moderate physical activity) associated with lower FH risk. However, not all of the findings were replicated in the two middle-aged cohorts. Conclusion Our data provides a novel insight into the inconsistent genetic determinants between middle-aged and LLI subjects. FOXO3 might act as a shared genetic predisposition to hyperglycemia and lifespan.
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Affiliation(s)
- Liang Sun
- The key Laboratory of Geriatrics, Beijing Hospital and Beijing Institute of Geriatrics, Ministry of Health, Beijing, China
| | - Caiyou Hu
- Department of Neurology, Jiangbin Hospital, Nanning, Guangxi, China
| | - Yu Qian
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, Bioengineering College, Chongqing University, Chongqing, China
| | - Chenguang Zheng
- Department of Cardiothoracic Surgery, Guangxi Maternal and Child Health Hospital, Nanning, Guangxi, China
| | - Qinghua Liang
- Department of Neurology, Jiangbin Hospital, Nanning, Guangxi, China
| | - Zeping Lv
- Department of Neurology, Jiangbin Hospital, Nanning, Guangxi, China
| | - Zezhi Huang
- Office of longevity cultural, People’s government of Yongfu County, Yongfu, Guangxi, China
| | - Keyan Qi
- Lab of Genetics and Metabolism, Beijing Obstetrics and Gynecology Hospital, Beijing, China
| | - Jin Huang
- Department of obstetrics, Beijing Shunyi Airport Hospital, Beijing, China
| | - Qin Zhou
- Department of Neurology, Jiangbin Hospital, Nanning, Guangxi, China
| | - Ze Yang
- The key Laboratory of Geriatrics, Beijing Hospital and Beijing Institute of Geriatrics, Ministry of Health, Beijing, China
- * E-mail:
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FOXO3 variants are beneficial for longevity in Southern Chinese living in the Red River Basin: A case-control study and meta-analysis. Sci Rep 2015; 5:9852. [PMID: 25913413 PMCID: PMC5386198 DOI: 10.1038/srep09852] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2014] [Accepted: 03/23/2015] [Indexed: 11/08/2022] Open
Abstract
Forkhead box class O (FOXO) transcription factors play a crucial role in longevity across species. Several polymorphisms in FOXO3 were previously reported to be associated with human longevity. However, only one Chinese replication study has been performed so far. To verify the role of FOXO3 in southern Chinese in the Red River Basin, a community-based case-control study was conducted, and seven polymorphisms were genotyped in 1336 participants, followed by a meta-analysis of eight case-control studies that included 5327 longevity cases and 4608 controls. In our case-control study, we found rs2802288*A and rs2802292*G were beneficial to longevity after Bonferroni correction (pallele = 0.005, OR = 1.266; pallele = 0.026, OR = 1.207). In addition, in the longevity group, carriers with rs2802288*A and rs2802292*G presented reduced HbA1c (p = 0.001), and homozygotes of rs2802292*GG presented improved HOMA–IR (p = 0.014). The meta-analysis further revealed the overall contribution of rs2802288*A and rs2802292*G to longevity. However, our stratified analysis revealed that rs2802292*G might act more strongly in Asians than Europeans, for enhancement of longevity. In conclusion, our study provides convincing evidence for a significant association between the rs2802288*A and rs2802292*G gene variants in FOXO3 and human longevity, and adds the Southern Chinese in the Red River Basin to the growing number of human replication populations.
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Abstract
The mini-review stemmed from a recent meeting on national aging research strategies in China discusses the components and challenges of aging research in China. Highlighted are the major efforts of a number of research teams, funding situations and outstanding examples of recent major research achievements. Finally, authors discuss potential targets and strategies of aging research in China.
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