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Rosenson RS, Cushman M, McKinley EC, Muntner P, Wang Z, Vaisar T, Heinecke J, Tangney C, Judd S, Colantonio LD. Association Between Triglycerides and Incident Cognitive Impairment in Black and White Adults in the Reasons for Geographic and Racial Differences in Stroke Study. J Am Heart Assoc 2023; 12:e026833. [PMID: 36802918 PMCID: PMC10111434 DOI: 10.1161/jaha.122.026833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 01/25/2023] [Indexed: 02/23/2023]
Abstract
Background Elevated nonfasting triglycerides were associated with non-Alzheimer dementia in a recent study. However, this study neither evaluated the association of fasting triglycerides with incident cognitive impairment (ICI) nor adjusted for high-density lipoprotein cholesterol or hs-CRP (high-sensitivity C-reactive protein), known risk markers for ICI and dementia. Methods and Results We examined the association between fasting triglycerides and ICI among 16 170 participants in the REGARDS (Reasons for Geographic and Racial Differences in Stroke) study without cognitive impairment or a history of stroke at baseline in 2003 to 2007 and who had no stroke events during follow-up through September 2018. Overall, 1151 participants developed ICI during the median follow-up of 9.6 years. The relative risk for ICI associated with fasting triglycerides of ≥150 mg/dL versus <100 mg/dL including adjustment for age and geographic region of residence was 1.59 (95% CI, 1.20-2.11) among White women and 1.27 (95% CI, 1.00-1.62) among Black women. After multivariable adjustment, including adjustment for high-density lipoprotein cholesterol and hs-CRP, the relative risk for ICI associated with fasting triglycerides ≥150 mg/dL versus <100 mg/dL was 1.50 (95% CI, 1.09-2.06) among White women and 1.21 (95% CI, 0.93-1.57) among Black women. There was no evidence of an association between triglycerides and ICI among White or Black men. Conclusions Elevated fasting triglycerides were associated with ICI in White women after full adjustment including high-density lipoprotein cholesterol and hs-CRP. The current results suggest that the association between triglycerides and ICI is stronger in women than men.
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Affiliation(s)
- Robert S. Rosenson
- Department of CardiologyIcahn School of Medicine at Mount SinaiNew YorkNY
| | - Mary Cushman
- Department of MedicineUniversity of VermontColchesterVT
| | - Emily C. McKinley
- Department of Epidemiology, School of Public HealthUniversity of Alabama at BirminghamBirminghamAL
| | - Paul Muntner
- Department of Epidemiology, School of Public HealthUniversity of Alabama at BirminghamBirminghamAL
| | - Zhixin Wang
- Department of Epidemiology, School of Public HealthUniversity of Alabama at BirminghamBirminghamAL
| | - Tomas Vaisar
- Department of MedicineUniversity of WashingtonSeattleWA
| | - Jay Heinecke
- Department of MedicineUniversity of WashingtonSeattleWA
| | - Christy Tangney
- Departments of Clinical Nutrition and Preventive MedicineRush University and Medical CenterChicagoIL
| | - Suzanne Judd
- Department of Epidemiology, School of Public HealthUniversity of Alabama at BirminghamBirminghamAL
| | - Lisandro D. Colantonio
- Department of Epidemiology, School of Public HealthUniversity of Alabama at BirminghamBirminghamAL
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Higher Total Cholesterol Concentration May Be Associated with Better Cognitive Performance among Elderly Females. Nutrients 2022; 14:nu14194198. [PMID: 36235850 PMCID: PMC9571708 DOI: 10.3390/nu14194198] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 10/04/2022] [Accepted: 10/06/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND The brain contains the highest level of cholesterol in the body, and the total amount of serum cholesterol in the blood has a huge impact on brain aging and cognitive performance. However, the association of total serum cholesterol with cognitive function remains uncertain. This study determines whether there is an association between the total amount of cholesterol in the blood and cognitive performance in elderly females without a history of stroke. METHODS This population-based cross-sectional study was conducted on elderly (over 60 years old) females and males without a history of stroke from 2011 to 2014 in the US National Health and Nutrition Examination Survey (NHANES). The primary exposure was total blood cholesterol, and the main outcome was cognitive performance; this association was assessed with logistic regression analysis and restricted cubic splines. RESULTS 1309 female and 1272 male participants were included. In females, higher total cholesterol was significantly associated with higher cognitive scores, particularly in the digit symbol substitution test (OR 0.51, 95% CI (0.36-0.72)) and the animal fluency test (OR 0.64, 95% CI (0.45-0.91)). This association remained significant in models adjusted for age, race, smoking status, education level, and chronic conditions (OR 0.40, 95% CI (0.25-0.63)). This association was not significant in males, however. CONCLUSIONS A higher concentration of total cholesterol measured in later life may be a protective factor for cognitive performance among females over 60 years old without a history of stroke. Further, this association was more pronounced among women with higher levels of education than women with lower or no education.
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Green R, Lord J, Xu J, Maddock J, Kim M, Dobson R, Legido-Quigley C, Wong A, Richards M, Proitsi P. Metabolic correlates of late midlife cognitive outcomes: findings from the 1946 British Birth Cohort. Brain Commun 2021; 4:fcab291. [PMID: 35187482 PMCID: PMC8853724 DOI: 10.1093/braincomms/fcab291] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 09/17/2021] [Accepted: 12/10/2021] [Indexed: 11/14/2022] Open
Abstract
Investigating associations between metabolites and late midlife cognitive function could reveal potential markers and mechanisms relevant to early dementia. Here, we systematically explored the metabolic correlates of cognitive outcomes measured across the seventh decade of life, while untangling influencing life course factors. Using levels of 1019 metabolites profiled by liquid chromatography-mass spectrometry (age 60-64), we evaluated relationships between metabolites and cognitive outcomes in the British 1946 Birth Cohort (N = 1740). We additionally conducted pathway and network analyses to allow for greater insight into potential mechanisms, and sequentially adjusted for life course factors across four models, including sex and blood collection (Model 1), Model 1 + body mass index and lipid medication (Model 2), Model 2 + social factors and childhood cognition (Model 3) and Model 3 + lifestyle influences (Model 4). After adjusting for multiple tests, 155 metabolites, 10 pathways and 5 network modules were associated with cognitive outcomes. Of the 155, 35 metabolites were highly connected in their network module (termed 'hub' metabolites), presenting as promising marker candidates. Notably, we report relationships between a module comprised of acylcarnitines and processing speed which remained robust to life course adjustment, revealing palmitoylcarnitine (C16) as a hub (Model 4: β = -0.10, 95% confidence interval = -0.15 to -0.052, P = 5.99 × 10-5). Most associations were sensitive to adjustment for social factors and childhood cognition; in the final model, four metabolites remained after multiple testing correction, and 80 at P < 0.05. Two modules demonstrated associations that were partly or largely attenuated by life course factors: one enriched in modified nucleosides and amino acids (overall attenuation = 39.2-55.5%), and another in vitamin A and C metabolites (overall attenuation = 68.6-92.6%). Our other findings, including a module enriched in sphingolipid pathways, were entirely explained by life course factors, particularly childhood cognition and education. Using a large birth cohort study with information across the life course, we highlighted potential metabolic mechanisms associated with cognitive function in late midlife, suggesting marker candidates and life course relationships for further study.
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Affiliation(s)
- Rebecca Green
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- UK National Institute for Health Research (NIHR) Maudsley Biomedical Research Centre, South London and Maudsley Trust, London, UK
| | - Jodie Lord
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Jin Xu
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- Institute of Pharmaceutical Science, King’s College London, London, UK
| | - Jane Maddock
- MRC Unit for Lifelong Health & Ageing at UCL, University College London, London, UK
| | - Min Kim
- Steno Diabetes Center Copenhagen, Gentofte, Denmark
| | - Richard Dobson
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- UK National Institute for Health Research (NIHR) Maudsley Biomedical Research Centre, South London and Maudsley Trust, London, UK
- Health Data Research UK London, University College London, London, UK
- NIHR Biomedical Research Centre at University College London, Hospitals NHS Foundation Trust, London, UK
| | - Cristina Legido-Quigley
- Institute of Pharmaceutical Science, King’s College London, London, UK
- Steno Diabetes Center Copenhagen, Gentofte, Denmark
| | - Andrew Wong
- MRC Unit for Lifelong Health & Ageing at UCL, University College London, London, UK
| | - Marcus Richards
- MRC Unit for Lifelong Health & Ageing at UCL, University College London, London, UK
| | - Petroula Proitsi
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
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Chronic Kidney Disease and Cognitive Impairment. J Stroke Cerebrovasc Dis 2021; 30:105529. [DOI: 10.1016/j.jstrokecerebrovasdis.2020.105529] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 11/05/2020] [Accepted: 12/01/2020] [Indexed: 12/21/2022] Open
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Jia QF, Yang HX, Zhuang NN, Yin XY, Zhu ZH, Yuan Y, Yin XL, Wang Y, Cheung EFC, Chan RCK, Hui L. The role of lipoprotein profile in depression and cognitive performance: a network analysis. Sci Rep 2020; 10:20704. [PMID: 33244178 PMCID: PMC7693273 DOI: 10.1038/s41598-020-77782-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 11/17/2020] [Indexed: 12/18/2022] Open
Abstract
Lipid profile (total cholesterol and lipoprotein fractions) has been found to correlate with depression and cognitive impairment across the lifespan. However, the role of lipid levels in self-rated depressive state and cognitive impairment remains unclear. In this study, we examined the relationship between lipid profile (total cholesterol, triglycerides, high-density lipoprotein cholesterol and low-density lipoprotein cholesterol) and cognition in adults with and without self-rated depression. Four hundred and thirty-eight healthy participants completed the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS), the Self-Rating Depression Scale (SDS), and a serum lipoprotein test. Using multivariate ANOVA, partial correlation and network analysis, a network linking lipoprotein profile, depressive state and cognition was constructed. A significant difference in serum lipid profile between the high and low depressive groups was detected. Depressive state had a strong negative correlation with cognitive performance. Of the lipid profile, only high-density lipoprotein was positively correlated with depressive symptom severity, whereas the other three indices showed negative correlation with both depressive state and cognitive performance. Our results suggest that serum lipid profile may be directly linked to self-rated depression and cognitive performance. Further studies recruiting larger clinical samples are needed to elucidate the specific effect of lipoprotein on cognitive impairment in mood disorder.
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Affiliation(s)
- Qiu-Fang Jia
- The Affiliated Guangji Hospital of Soochow University, Medical College of Soochow University, Suzhou, Jiangsu, People's Republic of China
| | - Han-Xue Yang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health Institute of Psychology, Beijing, People's Republic of China
| | - Nan-Nan Zhuang
- The Affiliated Guangji Hospital of Soochow University, Medical College of Soochow University, Suzhou, Jiangsu, People's Republic of China
| | - Xu-Yuan Yin
- The Affiliated Guangji Hospital of Soochow University, Medical College of Soochow University, Suzhou, Jiangsu, People's Republic of China
| | - Zhen-Hua Zhu
- The Affiliated Guangji Hospital of Soochow University, Medical College of Soochow University, Suzhou, Jiangsu, People's Republic of China
| | - Ying Yuan
- The Affiliated Guangji Hospital of Soochow University, Medical College of Soochow University, Suzhou, Jiangsu, People's Republic of China
| | - Xiao-Li Yin
- Wenzhou Kangning Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Yi Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health Institute of Psychology, Beijing, People's Republic of China
| | | | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health Institute of Psychology, Beijing, People's Republic of China. .,Department of Psychology, University of Chinese Academy of Sciences, Beijing, People's Republic of China.
| | - Li Hui
- The Affiliated Guangji Hospital of Soochow University, Medical College of Soochow University, Suzhou, Jiangsu, People's Republic of China.
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Guo Y, Li P, Ma X, Huang X, Liu Z, Ren X, Yang Y, Halm-Lutterodt NV, Yuan L. Association of Circulating Cholesterol Level with Cognitive Function and Mild Cognitive Impairment in the Elderly: A Community-based Population Study. Curr Alzheimer Res 2020; 17:556-565. [DOI: 10.2174/1567205017666200810165758] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Revised: 06/16/2020] [Accepted: 06/17/2020] [Indexed: 11/22/2022]
Abstract
Background:
The present study was designed to examine the association of circulating cholesterol
with cognitive function in non-demented community aging adults.
Methods:
This was a cross-sectional study including 1754 Chinese adults aged 55-80 years. The association
between serum cholesterol levels and cognitive function was examined. Participants were categorized
into four groups according to the quartile of circulating TC (total cholesterol), High Density
Lipoprotein Cholesterol (HDL-c), Low Density Lipoprotein Cholesterol (LDL-c) levels and HDLc/
LDL-c ratio. The difference in cognitive performance among the groups was compared. Logistic regression
model was used to determine the association of circulating cholesterol level with the risk of
Mild Cognitive Impairment (MCI).
Results:
Mild increase of serum LDL-c level correlated with better visual and executive, language,
memory and delayed recall abilities. Higher circulating TC and HDL-c levels were found to be associated
with poorer cognitive function, especially in aging female subjects. Higher circulating TC, HDL-c
and HDL/LDL ratio indicated an increased risk of MCI, especially in female subjects.
Conclusion:
Slight increase in circulating LDL-c level might benefit cognitive function in aging adults.
However, higher circulating TC and HDL-c levels might indicate a decline of cognitive function, especially
in aging female subjects.
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Affiliation(s)
- Yujie Guo
- School of Public Health, Capital Medical University, Beijing 100069, China
| | - Pengfei Li
- School of Public Health, Capital Medical University, Beijing 100069, China
| | - Xiaojun Ma
- School of Public Health, Capital Medical University, Beijing 100069, China
| | - Xiaochen Huang
- School of Public Health, Capital Medical University, Beijing 100069, China
| | - Zhuoheng Liu
- School of Public Health, Capital Medical University, Beijing 100069, China
| | - Xiuwen Ren
- School of Public Health, Capital Medical University, Beijing 100069, China
| | - Yuhui Yang
- School of Public Health, Capital Medical University, Beijing 100069, China
| | | | - Linhong Yuan
- School of Public Health, Capital Medical University, Beijing 100069, China
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Li J, Cao Y, Xiao C. Subgroup analysis of the influence of body mass index on the association between serum lipids and cognitive function in Chinese population. Lipids Health Dis 2020; 19:130. [PMID: 32513187 PMCID: PMC7282081 DOI: 10.1186/s12944-020-01314-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2019] [Accepted: 06/04/2020] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Previous studies reported that the association between lipid levels and cognitive function is related with gender, age and specific cognitive domains, but the influence of body mass index (BMI) on this association is limited. This triggered interest in exploring how serum lipids relate to cognitive function in different subgroups. METHODS Data was collected from 2009 wave and 2015 wave of China Health and Nutrition Survey (CHNS). Multivariable linear regression analyses examined serum lipids level as predictors of sex- and age-specific measure of cognitive function in different BMI levels, which were adjusted for nationality, BMI, systolic blood pressure (SBP), diastolic blood pressure (DBP), smoking status, alcohol consumption and education level. RESULTS Cognitive function score have different concentration curves in serum lipids quartile levels in different BMI categories. After adjustment for confounding factors, serum TG was positively associated with cognitive function score in underweight (β ± SE: 2.06 ± 0.88, P = 0.023) and obese (β ± SE: 1.44 ± 0.71, P = 0.045) male group, and serum HDL-C was positively associated with cognitive function score in overweight (β ± SE: 1.89 ± 0.92, P = 0.041) and obese (β ± SE: 5.04 ± 1.62, P = 0.002) female group. Serum TC was negatively associated with cognitive function score in overweight (β ± SE: - 2.55 ± 1.26, P = 0.043) mid-life adults, and serum HDL-C was positively associated with cognitive function score in overweight (β ± SE: 2.15 ± 0.94, P = 0.022) and obese (β ± SE: 5.33 ± 2.07, P = 0.011) older adults. CONCLUSION The associations of serum lipids with cognitive function were related with BMI levels and differed between gender and age groups. This result indicated that better nutritional status has superior cognitive function performance.
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Affiliation(s)
- Jiang Li
- Department of Laboratory Medicine, China-Japan Friendship Hospital, Beijing, 100029, China.
| | - Yongtong Cao
- Department of Laboratory Medicine, China-Japan Friendship Hospital, Beijing, 100029, China
| | - Cheng Xiao
- Institute of Clinical Medicine, China-Japan Friendship Hospital, Beijing, 100029, China.
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing, 100193, China.
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Lv Y, Cai L, Gui Z, Zeng X, Tan M, Wan N, Lai L, Lu S, Tan W, Chen Y. Effects of physical activity and sedentary behaviour on cardiometabolic risk factors and cognitive function in children: protocol for a cohort study. BMJ Open 2019; 9:e030322. [PMID: 31676650 PMCID: PMC6830669 DOI: 10.1136/bmjopen-2019-030322] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
Abstract
INTRODUCTION Although studies showed that physical activity (PA) and sedentary behaviour (SB) were associated with cardiometabolic risk factors and cognitive function, both independent and combined associations among them are inconsistent. Cardiometabolic risk factors are also associated with cognitive function, but research of children is limited. Additionally, the brain level mechanisms have not been fully established. The proposed study aims to explore the associations and mechanisms of PA and SB on cognitive function and cardiometabolic risk factors in children. METHODS AND ANALYSIS This is a school-based prospective cohort study. A total of 8324 participants of this study are primary school students aged 7-12 years old who are followed up every 2 years from January 2017 to December 2026. We used a stratified cluster random sampling to select five primary schools in Guangzhou, China. There are three phases at baseline. At phase I, we collect PA, SB and cognitive function by questionnaires and also conduct anthropometric and biochemical measurements in all participants. At phase II, PA, SB and cognitive function are measured respectively by accelerometers and cognitive tasks among participants randomly selected from four subgroups with different SB and PA levels. At phase III, event-related potentials are recorded using electroencephalogram during a cognitive task among participants randomly selected from phase II. We plan to follow-up all participants until they graduate from high school. The process applied at baseline and follow-up are approximately identical. ETHICS AND DISSEMINATION Procedures described in this manuscript have been approved by the Ethical Review Committee for Biomedical Research, School of Public Health, Sun Yat-sen University (L2016-010). All parents or guardians of participants signed the informed consent form voluntarily before participating in the study. The findings of the study will be published in peer-reviewed journals. TRIAL REGISTRATION NUMBER NCT03582709.
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Affiliation(s)
- Yajie Lv
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Li Cai
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Zhaohuan Gui
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Xia Zeng
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Minyi Tan
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Nianqing Wan
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Lijuan Lai
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Shaomin Lu
- Department of Child Health, Guangzhou Women and Children's Medical Center, Guangzhou, China
| | - Weiqing Tan
- Health Promotion Center for Primary and Secondary Schools of Guangzhou Municipality, Guangzhou, China
| | - Yajun Chen
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
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Qiu Q, Lin X, Sun L, Zhu MJ, Wang T, Wang JH, Li GJ, Xiao SF, Li X. Cognitive decline is related to high blood glucose levels in older Chinese adults with the ApoE ε3/ε3 genotype. Transl Neurodegener 2019; 8:12. [PMID: 30984391 PMCID: PMC6446313 DOI: 10.1186/s40035-019-0151-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Accepted: 03/18/2019] [Indexed: 12/17/2022] Open
Abstract
Background Few studies have investigated the effects of blood glucose (BG) on cognitive function in community-dwelling elderly individuals carrying the apolipoprotein E (APOE) ε3 allele. Objective To explore the effect of high BG levels on cognitive function in APOE ε3-carrying, non-demented, community-dwelling older adults, as compared to their counterparts carrying the APOE ε4 or APOE ε2 alleles. Methods Within the China Longitudinal Ageing Study, we recruited 282 elderly adults without dementia. Data collected included demographic information; psychological measures; laboratory test results, including BG and plasma lipid levels; and APOE genotypes. We divided the participants into APOE ε2(ε2/ε2, ε2/ε3), ε3(ε3/ε3), and ε4(ε3/ε4, ε4/ε4) groups. Partial correlation analyses and multivariate linear regression analyses were utilized to compare the cognitive function and laboratory data between the APOE groups. White matter hyperintensity (WMH) was measured on magnetic resonance images in 77 participants. Results With adjustment for age, sex, education, and diabetes, higher BG in non-demented community-dwelling older adults was associated with cognitive decline in immediate memory and executive function. In the APOE ε3 group, elevated BG was associated with cognitive decline in immediate memory, executive function, and perceptual reasoning. In the APOE ε4 group, higher BG was also correlated with a decline in abstract reasoning. There was a trend for association between higher BG and more severe WMHs. Conclusion Worse cognitive function was correlated withApoEε3/ε3 genotype carriers with higher BG in community-dwelling older adults.
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Affiliation(s)
- Qi Qiu
- Department of Psychogeriatrics, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, South WanPing Road 600, Shanghai, 200030 China
| | - Xiang Lin
- Department of Psychogeriatrics, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, South WanPing Road 600, Shanghai, 200030 China
| | - Lin Sun
- Department of Psychogeriatrics, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, South WanPing Road 600, Shanghai, 200030 China
| | - Min-Jie Zhu
- Department of Psychogeriatrics, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, South WanPing Road 600, Shanghai, 200030 China
| | - Tao Wang
- Department of Psychogeriatrics, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, South WanPing Road 600, Shanghai, 200030 China
| | - Jing-Hua Wang
- Department of Psychogeriatrics, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, South WanPing Road 600, Shanghai, 200030 China
| | - Guan-Jun Li
- Department of Psychogeriatrics, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, South WanPing Road 600, Shanghai, 200030 China
| | - Shi-Fu Xiao
- Department of Psychogeriatrics, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, South WanPing Road 600, Shanghai, 200030 China
| | - Xia Li
- Department of Psychogeriatrics, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, South WanPing Road 600, Shanghai, 200030 China
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Feinkohl I, Janke J, Hadzidiakos D, Slooter A, Winterer G, Spies C, Pischon T. Associations of the metabolic syndrome and its components with cognitive impairment in older adults. BMC Geriatr 2019; 19:77. [PMID: 30845934 PMCID: PMC6407250 DOI: 10.1186/s12877-019-1073-7] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2018] [Accepted: 02/18/2019] [Indexed: 02/06/2023] Open
Abstract
Background The metabolic syndrome (MetS) is an established cardiovascular risk factor. Here, we investigated its role in cognitive impairment. Methods Baseline data from 202 participants (aged 65 to 87 years) of the BioCog study were used. All were free of clinical dementia (MMSE≥24/30). Cognitive impairment was defined as the lowest tertile of a cognitive summary score. Multiple logistic regression analyses examined associations of body mass index (BMI), triglycerides (TG), high-density lipoprotein (HDL-C), glucose and glycated hemoglobin A1c (HbA1c) levels with the odds of cognitive impairment. MetS was defined as ≥3 of its 5 components obesity (BMI ≥ 30 kg/m2), elevated TG (TG ≥1.7 mmol/L), reduced HDL-C (males: < 1.0 mmol/L; females: < 1.3 mmol/L), elevated glucose (glucose ≥5.5 mmol/L and/or diagnosed diabetes) and elevated blood pressure (history of hypertension). Analyses controlled for age, sex and smoking history. Results Lower HDL-C was significantly associated with a higher odds of cognitive impairment (OR 2.70 per 1 mmol/L reduction; 95% CI 1.25, 5.56; p = 0.011), whereas BMI, TG, glucose and HbA1c were not (all p > 0.05). Results for HDL-C were similar when HDL-C, glucose, BMI and TG were entered into a single model (OR 2.56 per 1 mmol/L reduction, 95% CI 1.09, 5.88, p = 0.031) and when cerebrovascular disease and coronary heart disease were additionally controlled for (OR 2.56 per 1 mmol/L reduction, 95% CI 1.06, 6.25, p = 0.036). Among the 5 MetS components, participants with elevated TG were at 2-fold increased odds of impairment (OR 2.09, 95% CI 1.08, 4.05, p = 0.028) including when the remaining 4 MetS components were entered (OR 2.23, 95% CI 1.07, 4.65, p = 0.033), but the finding was no longer statistically significant when cerebrovascular disease and coronary heart disease were additionally controlled for (p = 0.11). Presence of MetS and of obesity, reduced HDL-C, elevated glucose or elevated blood pressure were not significantly associated with impairment (all p > 0.05). Conclusion Our findings support low HDL-C as an independent risk marker of cognitive impairment in older age. The need for research into mediatory and confounding factors, and re-evaluation of traditional cut-off points is highlighted. Trial registration The study was registered on 15th October 2014 at clinicaltrials.gov (NCT02265263).
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Affiliation(s)
- Insa Feinkohl
- Molecular Epidemiology Research Group, Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.
| | - Jürgen Janke
- Molecular Epidemiology Research Group, Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Daniel Hadzidiakos
- Charité - Universitaetsmedizin Berlin, corporate member of Freie Universitaet Berlin, Humboldt-Universitaet zu Berlin, and Berlin Institute of Health (BIH), Berlin, Germany
| | - Arjen Slooter
- University Medical Center Utrecht, Utrecht, the Netherlands
| | - Georg Winterer
- Charité - Universitaetsmedizin Berlin, corporate member of Freie Universitaet Berlin, Humboldt-Universitaet zu Berlin, and Berlin Institute of Health (BIH), Berlin, Germany
| | - Claudia Spies
- Charité - Universitaetsmedizin Berlin, corporate member of Freie Universitaet Berlin, Humboldt-Universitaet zu Berlin, and Berlin Institute of Health (BIH), Berlin, Germany
| | - Tobias Pischon
- Molecular Epidemiology Research Group, Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.,Charité - Universitaetsmedizin Berlin, corporate member of Freie Universitaet Berlin, Humboldt-Universitaet zu Berlin, and Berlin Institute of Health (BIH), Berlin, Germany.,MDC/BIH Biobank, Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), and Berlin Institute of Health (BIH), Berlin, Germany
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11
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Svensson T, Sawada N, Mimura M, Nozaki S, Shikimoto R, Tsugane S. The association between midlife serum high-density lipoprotein and mild cognitive impairment and dementia after 19 years of follow-up. Transl Psychiatry 2019; 9:26. [PMID: 30659169 PMCID: PMC6338778 DOI: 10.1038/s41398-018-0336-y] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2018] [Accepted: 11/13/2018] [Indexed: 12/31/2022] Open
Abstract
A third of dementia cases could be attributable to modifiable risk-factors. Midlife high-density lipoprotein cholesterol (HDL-C) is a measure which could help identify individuals at reduced risk of developing age-related cognitive decline. The Japan Public Health Centre-based prospective (JPHC) Study is a large population-based cohort which started in 1990. This study included 1299 participants from Saku area in Nagano prefecture. Participants had HDL-C measured in 1995-1996, and underwent a mental health screening in 2014-2015. Of these, 1114 participants were included in MCI analyses, and 781 participants were included in dementia analyses. Logistic regression models were used to determine odds ratios (OR) and 95% confidence intervals (CI) for the association between HDL-C quartiles and MCI and dementia, respectively. For dementia analysis, quartiles 2-4 were collapsed due to low number of cases. Missing data was addressed through multiple imputations. There were 386 cases of MCI and 53 cases of dementia. Compared to the lowest HDL-C quartile, the highest HDL-C quartile was significantly inversely associated with MCI (OR = 0.47, 95% CI, 0.28-0.79) in the multivariable analysis. High HDL-C (quartiles 2-4) was inversely associated with dementia compared to low HDL-C (quartile 1) (OR = 0.37, 95% CI, 0.16-0.88). This study has found that high midlife HDL-C levels are inversely associated with both late-life MCI and dementia in a Japanese population.
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Affiliation(s)
- Thomas Svensson
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
- Clinical Biotechnology, Center for Disease Biology and Integrative Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656, Japan
- Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Norie Sawada
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
| | - Masaru Mimura
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Shoko Nozaki
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Ryo Shikimoto
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Shoichiro Tsugane
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
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12
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Chen Y, Yin M, Cao X, Hu G, Xiao M. Pro- and Anti-inflammatory Effects of High Cholesterol Diet on Aged Brain. Aging Dis 2018; 9:374-390. [PMID: 29896426 PMCID: PMC5988593 DOI: 10.14336/ad.2017.0706] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2017] [Accepted: 07/06/2017] [Indexed: 12/31/2022] Open
Abstract
Both hypercholesterolemia and aging are related to cognitive decline or Alzheimer's disease. However, their interactive influence on the neurodegenerative progress remains unclear. To address this issue, 6-month-old and 16-month-old female mice were fed a 3% cholesterol diet for 8 weeks, followed by hippocampus-related functional, pathological, biochemical and molecular analyses. The high cholesterol diet did not exacerbate age-dependent cognitive decline and hippocampal neuronal death, and even greatly mitigated decreases of synaptophysin and growth associated protein 43 expression in the hippocampus of aged mice. Compared with young controls, aged mice fed normal diet showed mild activation of hippocampal microglia with increased expression of CD68, a marker of the microglial M1 phenotype, and decreased expression of CD206, a marker of the microglial M2 phenotype. More interestingly, the high cholesterol diet not only improved NLRP3 inflammasome activation and IL-1β expression, but also increased levels of anti-inflammatory cytokines IL-4 and IL-6 in the hippocampus of old mice, suggesting playing pro- and anti-neuroinflammatory effects. In addition, the cholesterol rich diet resulted in a defect of the blood-brain barrier of aged hippocampus, as revealed by increased brain albumin content. These results have revealed both harmful and protective effects of high cholesterol diet on aged brain, which helps us to understand that hypercholesterolemia in the aged population is not associated with dementia and cognitive impairment.
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Affiliation(s)
- Yali Chen
- Jiangsu Province Key Laboratory of Neurodegeneration, Nanjing Medical University, Nanjing, China
| | - Mengmei Yin
- Jiangsu Province Key Laboratory of Neurodegeneration, Nanjing Medical University, Nanjing, China
| | - Xuejin Cao
- Jiangsu Province Key Laboratory of Neurodegeneration, Nanjing Medical University, Nanjing, China
| | - Gang Hu
- Jiangsu Province Key Laboratory of Neurodegeneration, Nanjing Medical University, Nanjing, China
| | - Ming Xiao
- Jiangsu Province Key Laboratory of Neurodegeneration, Nanjing Medical University, Nanjing, China
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13
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van der Lee SJ, Teunissen CE, Pool R, Shipley MJ, Teumer A, Chouraki V, Melo van Lent D, Tynkkynen J, Fischer K, Hernesniemi J, Haller T, Singh-Manoux A, Verhoeven A, Willemsen G, de Leeuw FA, Wagner H, van Dongen J, Hertel J, Budde K, Willems van Dijk K, Weinhold L, Ikram MA, Pietzner M, Perola M, Wagner M, Friedrich N, Slagboom PE, Scheltens P, Yang Q, Gertzen RE, Egert S, Li S, Hankemeier T, van Beijsterveldt CEM, Vasan RS, Maier W, Peeters CFW, Jörgen Grabe H, Ramirez A, Seshadri S, Metspalu A, Kivimäki M, Salomaa V, Demirkan A, Boomsma DI, van der Flier WM, Amin N, van Duijn CM. Circulating metabolites and general cognitive ability and dementia: Evidence from 11 cohort studies. Alzheimers Dement 2018; 14:707-722. [PMID: 29316447 DOI: 10.1016/j.jalz.2017.11.012] [Citation(s) in RCA: 114] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2017] [Revised: 07/18/2017] [Accepted: 11/27/2017] [Indexed: 01/23/2023]
Abstract
INTRODUCTION Identifying circulating metabolites that are associated with cognition and dementia may improve our understanding of the pathogenesis of dementia and provide crucial readouts for preventive and therapeutic interventions. METHODS We studied 299 metabolites in relation to cognition (general cognitive ability) in two discovery cohorts (N total = 5658). Metabolites significantly associated with cognition after adjusting for multiple testing were replicated in four independent cohorts (N total = 6652), and the associations with dementia and Alzheimer's disease (N = 25,872) and lifestyle factors (N = 5168) were examined. RESULTS We discovered and replicated 15 metabolites associated with cognition including subfractions of high-density lipoprotein, docosahexaenoic acid, ornithine, glutamine, and glycoprotein acetyls. These associations were independent of classical risk factors including high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglycerides, glucose, and apolipoprotein E (APOE) genotypes. Six of the cognition-associated metabolites were related to the risk of dementia and lifestyle factors. DISCUSSION Circulating metabolites were consistently associated with cognition, dementia, and lifestyle factors, opening new avenues for prevention of cognitive decline and dementia.
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Affiliation(s)
- Sven J van der Lee
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Charlotte E Teunissen
- Neurochemistry Laboratory and Biobank, Department of Clinical Chemistry, VU University Medical Center, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - René Pool
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
| | - Martin J Shipley
- Research Department of Epidemiology and Public Health, University College London, London, UK
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Vincent Chouraki
- Lille University, Inserm, CHU Lille, Institut Pasteur de Lille, U1167 - RID-AGE - Risk Factors and Molecular Determinants of Aging-Related Diseases, Labex Distalz, Lille, France
| | - Debora Melo van Lent
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands; German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | | | - Krista Fischer
- The Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Jussi Hernesniemi
- University of Tampere, Tampere, Finland; Heart Center, Tampere University Hospital, Tampere, Finland
| | - Toomas Haller
- The Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Archana Singh-Manoux
- Research Department of Epidemiology and Public Health, University College London, London, UK; Inserm U1018, Centre for Research in Epidemiology and Population Health, Villejuif, France
| | - Aswin Verhoeven
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Gonneke Willemsen
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
| | - Francisca A de Leeuw
- Neurochemistry Laboratory and Biobank, Department of Clinical Chemistry, VU University Medical Center, Amsterdam Neuroscience, Amsterdam, The Netherlands; Alzheimer Center & Department of Neurology, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands
| | - Holger Wagner
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany; Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
| | - Jenny van Dongen
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
| | - Johannes Hertel
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Kathrin Budde
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Ko Willems van Dijk
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands; Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands; Department of Endocrinology and Metabolic Diseases, Leiden University Medical Center, Leiden, The Netherlands
| | - Leonie Weinhold
- Department of Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands; Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Maik Pietzner
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Markus Perola
- National Institute of Health and Welfare, Helsinki, Finland; Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Michael Wagner
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
| | - Nele Friedrich
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - P Eline Slagboom
- Section of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Philip Scheltens
- Alzheimer Center & Department of Neurology, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands
| | - Qiong Yang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Robert E Gertzen
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Sarah Egert
- Department of Nutrition and Food Sciences, Nutritional Physiology, University of Bonn, Bonn, Germany
| | - Shuo Li
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Thomas Hankemeier
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands; Division of Analytical Biosciences, Leiden Academic Centre for Drug Research, Faculty of Science, Universiteit Leiden, Leiden, The Netherlands; Translational Epidemiology, Faculty Science, Leiden University, Leiden, The Netherlands
| | - Catharina E M van Beijsterveldt
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
| | - Ramachandran S Vasan
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA; The Framingham Heart Study, Framingham, MA, USA
| | - Wolfgang Maier
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
| | - Carel F W Peeters
- Department of Epidemiology & Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
| | - Hans Jörgen Grabe
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany; German Center for Neurodegenerative Diseases (DZNE), Rostock/Greifswald, Germany
| | - Alfredo Ramirez
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany; Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany; Institute of Human Genetics, University of Bonn, Bonn, Germany; Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany
| | - Sudha Seshadri
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA; Glenn Biggs Institute of Alzheimer's and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
| | - Andres Metspalu
- The Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Mika Kivimäki
- Research Department of Epidemiology and Public Health, University College London, London, UK
| | - Veikko Salomaa
- National Institute of Health and Welfare, Helsinki, Finland
| | - Ayşe Demirkan
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands; Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Dorret I Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center & Department of Neurology, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands; Department of Epidemiology & Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
| | - Najaf Amin
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands; Translational Epidemiology, Faculty Science, Leiden University, Leiden, The Netherlands.
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14
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Abstract
In the face of shifting demographics and an increase in human longevity, it is important to examine carefully what is known about cognitive ageing, and to identify and promote possibly malleable lifestyle and health-related factors that might mitigate age-associated cognitive decline. The Lothian Birth Cohorts of 1921 (LBC1921, n = 550) and 1936 (LBC1936, n = 1091) are longitudinal studies of cognitive and brain ageing based in Scotland. Childhood IQ data are available for these participants, who were recruited in later life and then followed up regularly. This overview summarises some of the main LBC findings to date, illustrating the possible genetic and environmental contributions to cognitive function (level and change) and brain imaging biomarkers in later life. Key associations include genetic variation, health and fitness, psychosocial and lifestyle factors, and aspects of the brain's structure. It addresses some key methodological issues such as confounding by early-life intelligence and social factors and emphasises areas requiring further investigation. Overall, the findings that have emerged from the LBC studies highlight that there are multiple correlates of cognitive ability level in later life, many of which have small effects, that there are as yet few reliable predictors of cognitive change, and that not all of the correlates have independent additive associations. The concept of marginal gains, whereby there might be a cumulative effect of small incremental improvements across a wide range of lifestyle and health-related factors, may offer a useful way to think about and promote a multivariate recipe for healthy cognitive and brain ageing.
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Affiliation(s)
- J Corley
- Department of Psychology,The University of Edinburgh,Edinburgh,UK
| | - S R Cox
- Department of Psychology,The University of Edinburgh,Edinburgh,UK
| | - I J Deary
- Department of Psychology,The University of Edinburgh,Edinburgh,UK
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15
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Bates KA, Sohrabi HR, Rainey-Smith SR, Weinborn M, Bucks RS, Rodrigues M, Beilby J, Howard M, Taddei K, Martins G, Paton A, Shah T, Dhaliwal SS, Foster JK, Martins IJ, Lautenschlager NT, Mastaglia FL, Gandy SE, Martins RN. Serum high-density lipoprotein is associated with better cognitive function in a cross-sectional study of aging women. Int J Neurosci 2016; 127:243-252. [PMID: 27113638 DOI: 10.1080/00207454.2016.1182527] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Purpose/Aim of the study: Poor cardiovascular health, including obesity and altered lipid profiles at mid-life, are linked to increased risk of Alzheimer's disease (AD). The biological mechanisms linking cardiovascular health and cognitive function are unclear though are likely to be multifactorial. This study examined the association between various lipoproteins and cognitive functioning in ageing women. MATERIALS AND METHODS We investigated the relationship between readily available biomarkers (i.e. serum lipoprotein) and cognitive decline in domains associated with increased risk of AD (e.g. episodic verbal memory performance and subjective memory complaint). We report cross-sectional data investigating the relationship between serum total cholesterol, triglycerides, high-density lipoprotein (HDL-C) and low-density lipoprotein with verbal memory and learning ability in 130 women with and without memory complaints (n = 71 and 59, respectively) drawn from a study investigating cognitively healthy Western Australians (average age 62.5 years old). RESULTS After statistical modelling that controlled for the effects of age, depression and apolipoprotein E genotype, HDL-C was significantly associated with better verbal learning and memory performance, specifically short and long delay-free recalls (F = 3.062; p < .05 and F = 3.2670; p < .05, respectively). CONCLUSION Our cross-sectional findings suggest that the positive effect of HDL-C on verbal memory may be present much earlier than previously reported and provide further support for the role of HDL-C in healthy brain ageing. Further exploration of the protective effect of HDL-C on cognitive function in ageing is warranted through follow-up, longitudinal studies.
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Affiliation(s)
- Kristyn A Bates
- a School of Medical and Health Sciences , Edith Cowan University , Joondalup , Australia.,b The McCusker Alzheimer's Research Foundation , Nedlands , Australia.,c M650 School of Psychiatry and Clinical Neurosciences , The University of Western Australia , Crawley , Australia
| | - Hamid R Sohrabi
- a School of Medical and Health Sciences , Edith Cowan University , Joondalup , Australia.,b The McCusker Alzheimer's Research Foundation , Nedlands , Australia.,c M650 School of Psychiatry and Clinical Neurosciences , The University of Western Australia , Crawley , Australia.,d Cooperative Research Centre for Mental Health , Carlton , Australia
| | - Stephanie R Rainey-Smith
- a School of Medical and Health Sciences , Edith Cowan University , Joondalup , Australia.,b The McCusker Alzheimer's Research Foundation , Nedlands , Australia
| | - Michael Weinborn
- a School of Medical and Health Sciences , Edith Cowan University , Joondalup , Australia.,b The McCusker Alzheimer's Research Foundation , Nedlands , Australia.,e M347 School of Psychology, The University of Western Australia , Crawley , Australia
| | - Romola S Bucks
- e M347 School of Psychology, The University of Western Australia , Crawley , Australia
| | - Mark Rodrigues
- a School of Medical and Health Sciences , Edith Cowan University , Joondalup , Australia.,b The McCusker Alzheimer's Research Foundation , Nedlands , Australia
| | - John Beilby
- f M576 School of Pathology and Laboratory Medicine , The University of Western Australia , Crawley , Australia.,g PathWest Laboratory Medicine of WA , Nedlands , Australia
| | - Matthew Howard
- a School of Medical and Health Sciences , Edith Cowan University , Joondalup , Australia
| | - Kevin Taddei
- a School of Medical and Health Sciences , Edith Cowan University , Joondalup , Australia.,b The McCusker Alzheimer's Research Foundation , Nedlands , Australia
| | - Georgia Martins
- a School of Medical and Health Sciences , Edith Cowan University , Joondalup , Australia.,b The McCusker Alzheimer's Research Foundation , Nedlands , Australia
| | - Athena Paton
- a School of Medical and Health Sciences , Edith Cowan University , Joondalup , Australia
| | - Tejal Shah
- b The McCusker Alzheimer's Research Foundation , Nedlands , Australia
| | | | - Jonathan K Foster
- i School of Psychology and Speech Pathology , Curtin University of Technology , Perth , Australia
| | - Ian J Martins
- a School of Medical and Health Sciences , Edith Cowan University , Joondalup , Australia.,b The McCusker Alzheimer's Research Foundation , Nedlands , Australia
| | - Nicola T Lautenschlager
- c M650 School of Psychiatry and Clinical Neurosciences , The University of Western Australia , Crawley , Australia.,j Academic Unit for Psychiatry of Old Age, St Vincent's Health, Department of Psychiatry , University of Melbourne , Kew , Australia.,k M577 WA Centre for Health and Aging , The University of Western Australia , Crawley , Australia
| | - Frank L Mastaglia
- l Institute for Immunology and Infectious Diseases , Murdoch University , Murdoch , Australia
| | - Samuel E Gandy
- m Departments of Neurology and Psychiatry and the Alzheimer's Disease Research Center , Icahn School of Medicine at Mount Sinai , New York , NY , United States
| | - Ralph N Martins
- a School of Medical and Health Sciences , Edith Cowan University , Joondalup , Australia.,b The McCusker Alzheimer's Research Foundation , Nedlands , Australia.,c M650 School of Psychiatry and Clinical Neurosciences , The University of Western Australia , Crawley , Australia
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16
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Zhang T, Li H, Zhang J, Li X, Qi D, Wang N, Zhang Z. Impacts of High Serum Total Cholesterol Level on Brain Functional Connectivity in Non-Demented Elderly. J Alzheimers Dis 2015; 50:455-63. [DOI: 10.3233/jad-150810] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Affiliation(s)
- Ting Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, P. R. China
- BABRI Centre, Beijing Normal University, Beijing, P. R. China
| | - He Li
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, P.R. China
- BABRI Centre, Beijing Normal University, Beijing, P. R. China
| | - Junying Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, P. R. China
- BABRI Centre, Beijing Normal University, Beijing, P. R. China
| | - Xin Li
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, P. R. China
- BABRI Centre, Beijing Normal University, Beijing, P. R. China
| | - Di Qi
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, P. R. China
- BABRI Centre, Beijing Normal University, Beijing, P. R. China
| | - Nuo Wang
- School of Economics and Resource Management, Beijing Normal University, Beijing, P. R. China
| | - Zhanjun Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, P. R. China
- BABRI Centre, Beijing Normal University, Beijing, P. R. China
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