1
|
Lv S, Jiao H, Zhong X, Qu Y, Zhang M, Wang R. Association between intensity of physical activity and cognitive function in hypertensive patients: a case-control study. Sci Rep 2024; 14:10106. [PMID: 38697999 PMCID: PMC11065981 DOI: 10.1038/s41598-024-59457-x] [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: 01/16/2024] [Accepted: 04/10/2024] [Indexed: 05/05/2024] Open
Abstract
Previous studies have shown that a higher intensity of physical activity (PA) is associated with a lower risk of cognitive impairment (CI), whereas hypertension is associated with higher CI. However, there are few studies on the association between PA intensity and cognitive function in hypertensive patients. This study investigated the association between PA intensity and cognitive function in hypertensive patients. A total of 2035 hypertensive patients were included in this study, including 407 hypertensive patients with CI and 1628 hypertensive patients with normal cognitive function matched 1:4 by age and sex. The International Physical Activity Questionnaire-Long Form and the Mini-mental State Examination were used to evaluate PA intensity, total metabolic equivalents, and cognitive function in patients with hypertension. Multivariate logistic regression was used to analyze the correlation between PA intensity and CI in hypertensive patients. The Spearman correlation coefficient was used to analyze the correlation between PA intensity and the total score of each component of the MMSE and the correlation between PA total metabolic equivalents and cardiac structure in hypertensive patients. After adjusting for all confounding factors, PA intensity was negatively associated with CI in hypertensive patients (OR = 0.608, 95% CI: 0.447-0.776, P < 0.001), and this association was also observed in hypertensive patients with education level of primary school and below and junior high school and above (OR = 0.732, 95% CI: 0.539-0.995, P = 0.047; OR = 0.412, 95% CI: 0.272-0.626, P < 0.001). The intensity of PA in hypertensive patients was positively correlated with orientation (r = 0.125, P < 0.001), memory (r = 0.052, P = 0.020), attention and numeracy (r = 0.151, P < 0.001), recall ability (r = 0.110, P < 0.001), and language ability (r = 0.144, P < 0.001). PA total metabolic equivalents in hypertensive patients were negatively correlated with RVEDD and LAD (r = - 0.048, P = 0.030; r = - 0.051, P = 0.020) and uncorrelated with LVEDD (r = 0.026, P = 0.233). Higher PA intensity reduced the incidence of CI in hypertensive patients. Therefore, hypertensive patients were advised to moderate their PA according to their circumstances.
Collapse
Affiliation(s)
- Shunxin Lv
- First Clinical Medical School, Shandong University of Traditional Chinese Medicine, No. 42, Wenhua West Road, Lixia District, Jinan, Shandong, People's Republic of China
| | - Huachen Jiao
- Department of Cardiology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, No. 42, Wenhua West Road, Lixia District, Jinan, Shandong, People's Republic of China.
| | - Xia Zhong
- Shandong University of Traditional Chinese Medicine, Jinan, People's Republic of China
| | - Ying Qu
- Shandong University of Traditional Chinese Medicine, Jinan, People's Republic of China
| | - Mengdi Zhang
- Shandong University of Traditional Chinese Medicine, Jinan, People's Republic of China
| | - Rui Wang
- Shandong University of Traditional Chinese Medicine, Jinan, People's Republic of China
| |
Collapse
|
2
|
Cao S, Teng L, Gao M, Hu S, Xiao S, Chen C, He Y, Cheng S, Xie X. Nonlinear relationship between triglycerides and cognitive function after acute ischemic stroke among older adults. Heliyon 2024; 10:e27943. [PMID: 38524625 PMCID: PMC10958424 DOI: 10.1016/j.heliyon.2024.e27943] [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: 10/12/2023] [Revised: 03/07/2024] [Accepted: 03/08/2024] [Indexed: 03/26/2024] Open
Abstract
Background Although studies have explored the association between triglyceride levels and cognitive function after acute ischemic stroke (AIS), the results have been conflicting. Therefore, the purpose of this study was to investigate the relationship between triglyceride levels and cognitive function after AIS among older adults. Methods This is an observational cross-sectional study. From November 2022 to June 2023, we consecutively collected patients diagnosed with AIS in China. Triglyceride levels were measured within 24 h of admission. The Mini-Mental State Examination (MMSE) was used to assess cognitive function. Nonlinear associations between triglyceride levels and cognitive function were assessed using smooth curve fitting and threshold effect analysis. Results In this study, a total of 221 patients (mean ± SD: 70.64 ± 7.43 years) with AIS were consecutively recruited, among whom 144 (65.16%) were male. Among the 221 recruited patients, 102 (46.15%) had cognitive impairment. Triglyceride levels and cognitive impairment were found to have a nonlinear association after controlling for potential confounders, with an inflection point at 0.8 mmol/L. Below the inflection point, triglyceride levels were positively correlated with MMSE scores (β = 14.11, 95% confidence interval [CI] = 2.33-25.89, P = 0.020). However, above the inflection point, the correlation between MMSE score and triglyceride levels was not statistically significant (β = 1.04, 95% CI = -1.27 - 3.34, P = 0.380). Conclusion There is a nonlinear association between triglyceride levels and cognitive function after AIS in older adults. Triglyceride was positively connected with cognitive function when it was less than 0.8 mmol/L.
Collapse
Affiliation(s)
- Simin Cao
- School of Nursing, Guangzhou Medical University, Guangzhou, China
- Department of Nursing, The First Affiliated Hospital of Shenzhen University/ Shenzhen Second People's Hospital, Shenzhen, China
| | - Liting Teng
- School of Nursing, Guangxi University of Chinese Medicine, Nanning, China
| | - Maofeng Gao
- School of Nursing, Anhui Medical University, Anhui, China
| | - Shoudi Hu
- School of Nursing, Anhui Medical University, Anhui, China
| | - Shiyan Xiao
- School of Nursing, University of South China, Hunan, China
| | - Chen Chen
- Department of Nursing, The First Affiliated Hospital of Shenzhen University/ Shenzhen Second People's Hospital, Shenzhen, China
| | - Yu He
- School of Nursing, Anhui Medical University, Anhui, China
| | - Shouzhen Cheng
- Department of Nursing, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Xiaohua Xie
- Department of Nursing, The First Affiliated Hospital of Shenzhen University/ Shenzhen Second People's Hospital, Shenzhen, China
| |
Collapse
|
3
|
Lu J, Wang Z, Zhang J, Jiao F, Zou C, Han L, Jiang G. Causal association of blood lipids with all-cause and cause-specific mortality risk: a Mendelian randomization study. J Lipid Res 2024; 65:100528. [PMID: 38458338 PMCID: PMC10993189 DOI: 10.1016/j.jlr.2024.100528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 02/03/2024] [Accepted: 03/02/2024] [Indexed: 03/10/2024] Open
Abstract
Dyslipidemia has long been implicated in elevating mortality risk; yet, the precise associations between lipid traits and mortality remained undisclosed. Our study aimed to explore the causal effects of lipid traits on both all-cause and cause-specific mortality. One-sample Mendelian randomization (MR) with linear and nonlinear assumptions was conducted in a cohort of 407,951 European participants from the UK Biobank. Six lipid traits, consisting of low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglycerides, apolipoprotein A1 (ApoA1), apolipoprotein B (ApoB), and lipoprotein(a), were included to investigate the causal associations with mortality. Two-sample MR was performed to replicate the association between each lipid trait and all-cause mortality. Univariable MR results showed that genetically predicted higher ApoA1 was significantly associated with a decreased all-cause mortality risk (HR[95% CI]:0.93 [0.89-0.97], P value = 0.001), which was validated by the two-sample MR analysis. Higher lipoprotein(a) was associated with an increased risk of all-cause mortality (1.03 [1.01-1.04], P value = 0.002). Multivariable MR confirmed the direct causal effects of ApoA1 and lipoprotein(a) on all-cause mortality. Meanwhile, nonlinear MR found no evidence for nonlinearity between lipids and all-cause mortality. Our examination into cause-specific mortality revealed a suggestive inverse association between ApoA1 and cancer mortality, a significant positive association between lipoprotein(a) and cardiovascular disease mortality, and a suggestive positive association between lipoprotein(a) and digestive disease mortality. High LDL-C was associated with an increased risk of cardiovascular disease mortality but a decreased risk of neurodegenerative disease mortality. The findings suggest that implementing interventions to raise ApoA1 and decrease lipoprotein(a) levels may improve overall health outcomes and mitigate cancer and digestive disease mortality.
Collapse
Affiliation(s)
- Jiawen Lu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Zhenqian Wang
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Jiaying Zhang
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Feng Jiao
- Guangzhou Centre for Applied Mathematics, Guangzhou University, Guangzhou, Guangdong, China
| | - Chenfeng Zou
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Liyuan Han
- Department of Global Health, Ningbo Institute of Life and Health Industry, University of Chinese Academy of Sciences, Ningbo, China
| | - Guozhi Jiang
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China; School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, Guangdong, China.
| |
Collapse
|
4
|
Wu S, Liu X, Yang H, Ma W, Qin Z. The effect of lipid metabolism on age-associated cognitive decline: Lessons learned from model organisms and human. IBRO Neurosci Rep 2023; 15:165-169. [PMID: 38204577 PMCID: PMC10776322 DOI: 10.1016/j.ibneur.2023.08.2194] [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: 05/31/2023] [Revised: 07/26/2023] [Accepted: 08/29/2023] [Indexed: 01/12/2024] Open
Abstract
Lipids are required as integral building blocks of cells to support cellular structures and functions. The intricate mechanisms underpinning lipid homeostasis are essential for the health and maintenance of the central nervous system. Here we summarize the recent advances in dissecting the effect of lipid metabolism on cognitive function and its age-associated decline by reviewing relevant studies ranging from invertebrate model organisms to mammals including human.
Collapse
Affiliation(s)
- Shihao Wu
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Orthopedic Department of Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China
- Department of Geriatric Medicine, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China
| | - Xiaoli Liu
- Punan Branch of Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200125, China
| | - Haiyan Yang
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Orthopedic Department of Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China
- Collaborative Innovation Center for Brain Science, Tongji University, Shanghai 200092, China
| | - Wenlin Ma
- Department of Geriatric Medicine, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China
- Shanghai Clinical Research Center for Aging and Medicine, Shanghai 200040, China
| | - Zhao Qin
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Orthopedic Department of Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China
- Collaborative Innovation Center for Brain Science, Tongji University, Shanghai 200092, China
| |
Collapse
|
5
|
Huang SY, Zhang YR, Yang L, Li YZ, Wu BS, Chen SD, Feng JF, Dong Q, Cheng W, Yu JT. Circulating metabolites and risk of incident dementia: A prospective cohort study. J Neurochem 2023; 167:668-679. [PMID: 37908051 DOI: 10.1111/jnc.15997] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 10/06/2023] [Accepted: 10/10/2023] [Indexed: 11/02/2023]
Abstract
Identifying circulating metabolites associated with dementia, cognition, and brain volume may improve the understanding of dementia pathogenesis and provide novel insights for preventive and therapeutic interventions. This cohort study included a total of 87 885 participants (median follow-up of 9.1 years, 54% female) without dementia at baseline from the UK Biobank. A total of 249 plasma metabolites were measured using nuclear magnetic resonance spectroscopy at baseline. Cox proportional regression was used to examine the associations of each metabolite with incident dementia (cases = 1134), Alzheimer's disease (AD; cases = 488), and vascular dementia (VD; cases = 257) during follow-up. Dementia-associated metabolites were further analyzed for association with cognitive deficits (N = 87 885) and brain volume (N = 7756) using logistic regression and linear regression. We identified 26 metabolites associated with incident dementia, of which 6 were associated with incident AD and 5 were associated with incident VD. These 26 dementia-related metabolites were subfractions of intermediate-density lipoprotein, large low-density lipoprotein (L-LDL), small high-density lipoprotein (S-HDL), very-low-density lipoprotein, fatty acids, ketone bodies, citrate, glucose, and valine. Among them, the cholesterol percentage in L-LDL (L-LDL-C%) was associated with lower risk of AD (HR [95% CI] = 0.92 [0.87-0.97], p = 0.002), higher brain cortical (β = 0.047, p = 3.91 × 10-6 ), and hippocampal (β = 0.043, p = 1.93 × 10-4 ) volume. Cholesteryl ester-to-total lipid ratio in L-LDL (L-LDL-CE%) was associated with lower risk of AD (HR [95% CI] = 0.93 [0.90-0.96], p = 1.48 × 10-4 ), cognitive deficits (odds ratio = 0.98, p = 0.009), and higher hippocampal volume (β = 0.027, p = 0.009). Cholesteryl esters in S-HDL (S-HDL-CE) were associated with lower risk of VD (HR [95% CI] = 0.81 [0.71-0.93], p = 0.002), but not AD. Taken together, circulating levels of L-LDL-CE% and L-LDL-C% were robustly associated with risk of AD and AD phenotypes, but not with VD. S-HDL-CE was associated with lower risk of VD, but not with AD or AD phenotypes. These metabolites may play a role in the advancement of future intervention trials. Additional research is necessary to gain a complete comprehension of the molecular mechanisms behind these associations.
Collapse
Affiliation(s)
- Shu-Yi Huang
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ya-Ru Zhang
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Liu Yang
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yu-Zhu Li
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Bang-Sheng Wu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Shi-Dong Chen
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jian-Feng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
- Fudan ISTBI-ZJNU Algorithm Centre for Brain-Inspired Intelligence, Zhejiang Normal University, Jinhua, China
| | - Qiang Dong
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Wei Cheng
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
- Fudan ISTBI-ZJNU Algorithm Centre for Brain-Inspired Intelligence, Zhejiang Normal University, Jinhua, China
- Shanghai Medical College and Zhongshan Hospital Immunotherapy Technology Transfer Center, Shanghai, China
| | - Jin-Tai Yu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| |
Collapse
|
6
|
Zhou Z, Ryan J, Tonkin AM, Zoungas S, Lacaze P, Wolfe R, Orchard SG, Murray AM, McNeil JJ, Yu C, Watts GF, Hussain SM, Beilin LJ, Ernst ME, Stocks N, Woods RL, Zhu C, Reid CM, Shah RC, Chong TTJ, Sood A, Sheets KM, Nelson MR. Association Between Triglycerides and Risk of Dementia in Community-Dwelling Older Adults: A Prospective Cohort Study. Neurology 2023; 101:e2288-e2299. [PMID: 37879942 PMCID: PMC10727221 DOI: 10.1212/wnl.0000000000207923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 08/22/2023] [Indexed: 10/27/2023] Open
Abstract
BACKGROUND AND OBJECTIVES It has been suggested that higher triglyceride levels were associated with a lower risk of Alzheimer disease. This study aimed to examine the association of triglycerides with dementia and cognition change in community-dwelling older adults. METHODS This prospective longitudinal study used data from the Aspirin in Reducing Events in the Elderly (ASPREE) randomized trial of adults aged 65 years or older without dementia or previous cardiovascular events at enrollment. The main outcome was incident dementia. Other outcomes included changes in composite cognition and domain-specific cognition (global cognition, memory, language and executive function, and psychomotor speed). The association between baseline triglycerides and dementia risk was estimated using Cox proportional hazard models adjusting for relevant risk factors. Linear mixed models were used to investigate cognitive change. The analysis was repeated in a subcohort of participants with available APOE-ε4 genetic data with additional adjustment for APOE-ε4 carrier status and an external cohort (UK Biobank) with similar selection criteria applied. RESULTS This study included 18,294 ASPREE participants and 68,200 UK Biobank participants (mean age: 75.1 and 66.9 years; female: 56.3% and 52.7%; median [interquartile range] triglyceride: 106 [80-142] mg/dL and 139 [101-193] mg/dL), with dementia recorded in 823 and 2,778 individuals over a median follow-up of 6.4 and 12.5 years, respectively. Higher triglyceride levels were associated with lower dementia risk in the entire ASPREE cohort (hazard ratio [HR] with doubling of triglyceride: 0.82, 95% CI 0.72-0.94). Findings were similar in the subcohort of participants with APOE-ε4 genetic data (n = 13,976) and in the UK Biobank cohort (HR was 0.82 and 0.83, respectively, all p ≤ 0.01). Higher triglycerides were also associated with slower decline in composite cognition and memory over time (p ≤ 0.05). DISCUSSION Older adults with higher triglyceride levels within the normal to high-normal range had a lower dementia risk and slower cognitive decline over time compared with individuals with lower triglyceride levels. Higher triglyceride levels may be reflective of better overall health and/or lifestyle behaviors that would protect against dementia development. Future studies are warranted to investigate whether specific components within the total circulating pool of plasma triglycerides may promote better cognitive function, with the hope of informing the development of new preventive strategies.
Collapse
Affiliation(s)
- Zhen Zhou
- From the School of Public Health and Preventive Medicine (Z.Z., J.R., A.M.T., S.Z., P.L., R.W., S.G.O., J.J.M., C.Y., S.M.H., R.L.W.), Central Clinical School (C.Z.), and Turner Institute for Brain & Mental Health (T.T.-J.C.), Monash University, Melbourne, Victoria, Australia; Berman Center for Outcomes and Clinical Research (A.M.M.), Hennepin Healthcare Research Institute, Division of Geriatrics, Department of Medicine Hennepin HealthCare, Minneapolis, MN; School of Medicine (G.F.W., L.J.B.), University of Western Australia, Perth; Department of Pharmacy Practice and Science (M.E.E.), College of Pharmacy, The University of Iowa, Iowa City; Discipline of General Practice (N.S.), University of Adelaide, South Australia; School of Population Health (C.M.R.), Curtin University, Perth, Western Australia; Department of Family and Preventive Medicine and Rush Alzheimer's Disease Center (R.C.S., A.S.), Rush University Medical Center, Chicago, IL; Division of Geriatric Medicine (K.M.S.), Department of Medicine, Hennepin Healthcare, Minneapolis, MN; and Menzies Institute for Medical Research (M.R.N.), University of Tasmania, Hobart, Australia.
| | - Joanne Ryan
- From the School of Public Health and Preventive Medicine (Z.Z., J.R., A.M.T., S.Z., P.L., R.W., S.G.O., J.J.M., C.Y., S.M.H., R.L.W.), Central Clinical School (C.Z.), and Turner Institute for Brain & Mental Health (T.T.-J.C.), Monash University, Melbourne, Victoria, Australia; Berman Center for Outcomes and Clinical Research (A.M.M.), Hennepin Healthcare Research Institute, Division of Geriatrics, Department of Medicine Hennepin HealthCare, Minneapolis, MN; School of Medicine (G.F.W., L.J.B.), University of Western Australia, Perth; Department of Pharmacy Practice and Science (M.E.E.), College of Pharmacy, The University of Iowa, Iowa City; Discipline of General Practice (N.S.), University of Adelaide, South Australia; School of Population Health (C.M.R.), Curtin University, Perth, Western Australia; Department of Family and Preventive Medicine and Rush Alzheimer's Disease Center (R.C.S., A.S.), Rush University Medical Center, Chicago, IL; Division of Geriatric Medicine (K.M.S.), Department of Medicine, Hennepin Healthcare, Minneapolis, MN; and Menzies Institute for Medical Research (M.R.N.), University of Tasmania, Hobart, Australia
| | - Andrew M Tonkin
- From the School of Public Health and Preventive Medicine (Z.Z., J.R., A.M.T., S.Z., P.L., R.W., S.G.O., J.J.M., C.Y., S.M.H., R.L.W.), Central Clinical School (C.Z.), and Turner Institute for Brain & Mental Health (T.T.-J.C.), Monash University, Melbourne, Victoria, Australia; Berman Center for Outcomes and Clinical Research (A.M.M.), Hennepin Healthcare Research Institute, Division of Geriatrics, Department of Medicine Hennepin HealthCare, Minneapolis, MN; School of Medicine (G.F.W., L.J.B.), University of Western Australia, Perth; Department of Pharmacy Practice and Science (M.E.E.), College of Pharmacy, The University of Iowa, Iowa City; Discipline of General Practice (N.S.), University of Adelaide, South Australia; School of Population Health (C.M.R.), Curtin University, Perth, Western Australia; Department of Family and Preventive Medicine and Rush Alzheimer's Disease Center (R.C.S., A.S.), Rush University Medical Center, Chicago, IL; Division of Geriatric Medicine (K.M.S.), Department of Medicine, Hennepin Healthcare, Minneapolis, MN; and Menzies Institute for Medical Research (M.R.N.), University of Tasmania, Hobart, Australia
| | - Sophia Zoungas
- From the School of Public Health and Preventive Medicine (Z.Z., J.R., A.M.T., S.Z., P.L., R.W., S.G.O., J.J.M., C.Y., S.M.H., R.L.W.), Central Clinical School (C.Z.), and Turner Institute for Brain & Mental Health (T.T.-J.C.), Monash University, Melbourne, Victoria, Australia; Berman Center for Outcomes and Clinical Research (A.M.M.), Hennepin Healthcare Research Institute, Division of Geriatrics, Department of Medicine Hennepin HealthCare, Minneapolis, MN; School of Medicine (G.F.W., L.J.B.), University of Western Australia, Perth; Department of Pharmacy Practice and Science (M.E.E.), College of Pharmacy, The University of Iowa, Iowa City; Discipline of General Practice (N.S.), University of Adelaide, South Australia; School of Population Health (C.M.R.), Curtin University, Perth, Western Australia; Department of Family and Preventive Medicine and Rush Alzheimer's Disease Center (R.C.S., A.S.), Rush University Medical Center, Chicago, IL; Division of Geriatric Medicine (K.M.S.), Department of Medicine, Hennepin Healthcare, Minneapolis, MN; and Menzies Institute for Medical Research (M.R.N.), University of Tasmania, Hobart, Australia
| | - Paul Lacaze
- From the School of Public Health and Preventive Medicine (Z.Z., J.R., A.M.T., S.Z., P.L., R.W., S.G.O., J.J.M., C.Y., S.M.H., R.L.W.), Central Clinical School (C.Z.), and Turner Institute for Brain & Mental Health (T.T.-J.C.), Monash University, Melbourne, Victoria, Australia; Berman Center for Outcomes and Clinical Research (A.M.M.), Hennepin Healthcare Research Institute, Division of Geriatrics, Department of Medicine Hennepin HealthCare, Minneapolis, MN; School of Medicine (G.F.W., L.J.B.), University of Western Australia, Perth; Department of Pharmacy Practice and Science (M.E.E.), College of Pharmacy, The University of Iowa, Iowa City; Discipline of General Practice (N.S.), University of Adelaide, South Australia; School of Population Health (C.M.R.), Curtin University, Perth, Western Australia; Department of Family and Preventive Medicine and Rush Alzheimer's Disease Center (R.C.S., A.S.), Rush University Medical Center, Chicago, IL; Division of Geriatric Medicine (K.M.S.), Department of Medicine, Hennepin Healthcare, Minneapolis, MN; and Menzies Institute for Medical Research (M.R.N.), University of Tasmania, Hobart, Australia
| | - Rory Wolfe
- From the School of Public Health and Preventive Medicine (Z.Z., J.R., A.M.T., S.Z., P.L., R.W., S.G.O., J.J.M., C.Y., S.M.H., R.L.W.), Central Clinical School (C.Z.), and Turner Institute for Brain & Mental Health (T.T.-J.C.), Monash University, Melbourne, Victoria, Australia; Berman Center for Outcomes and Clinical Research (A.M.M.), Hennepin Healthcare Research Institute, Division of Geriatrics, Department of Medicine Hennepin HealthCare, Minneapolis, MN; School of Medicine (G.F.W., L.J.B.), University of Western Australia, Perth; Department of Pharmacy Practice and Science (M.E.E.), College of Pharmacy, The University of Iowa, Iowa City; Discipline of General Practice (N.S.), University of Adelaide, South Australia; School of Population Health (C.M.R.), Curtin University, Perth, Western Australia; Department of Family and Preventive Medicine and Rush Alzheimer's Disease Center (R.C.S., A.S.), Rush University Medical Center, Chicago, IL; Division of Geriatric Medicine (K.M.S.), Department of Medicine, Hennepin Healthcare, Minneapolis, MN; and Menzies Institute for Medical Research (M.R.N.), University of Tasmania, Hobart, Australia
| | - Suzanne G Orchard
- From the School of Public Health and Preventive Medicine (Z.Z., J.R., A.M.T., S.Z., P.L., R.W., S.G.O., J.J.M., C.Y., S.M.H., R.L.W.), Central Clinical School (C.Z.), and Turner Institute for Brain & Mental Health (T.T.-J.C.), Monash University, Melbourne, Victoria, Australia; Berman Center for Outcomes and Clinical Research (A.M.M.), Hennepin Healthcare Research Institute, Division of Geriatrics, Department of Medicine Hennepin HealthCare, Minneapolis, MN; School of Medicine (G.F.W., L.J.B.), University of Western Australia, Perth; Department of Pharmacy Practice and Science (M.E.E.), College of Pharmacy, The University of Iowa, Iowa City; Discipline of General Practice (N.S.), University of Adelaide, South Australia; School of Population Health (C.M.R.), Curtin University, Perth, Western Australia; Department of Family and Preventive Medicine and Rush Alzheimer's Disease Center (R.C.S., A.S.), Rush University Medical Center, Chicago, IL; Division of Geriatric Medicine (K.M.S.), Department of Medicine, Hennepin Healthcare, Minneapolis, MN; and Menzies Institute for Medical Research (M.R.N.), University of Tasmania, Hobart, Australia
| | - Anne M Murray
- From the School of Public Health and Preventive Medicine (Z.Z., J.R., A.M.T., S.Z., P.L., R.W., S.G.O., J.J.M., C.Y., S.M.H., R.L.W.), Central Clinical School (C.Z.), and Turner Institute for Brain & Mental Health (T.T.-J.C.), Monash University, Melbourne, Victoria, Australia; Berman Center for Outcomes and Clinical Research (A.M.M.), Hennepin Healthcare Research Institute, Division of Geriatrics, Department of Medicine Hennepin HealthCare, Minneapolis, MN; School of Medicine (G.F.W., L.J.B.), University of Western Australia, Perth; Department of Pharmacy Practice and Science (M.E.E.), College of Pharmacy, The University of Iowa, Iowa City; Discipline of General Practice (N.S.), University of Adelaide, South Australia; School of Population Health (C.M.R.), Curtin University, Perth, Western Australia; Department of Family and Preventive Medicine and Rush Alzheimer's Disease Center (R.C.S., A.S.), Rush University Medical Center, Chicago, IL; Division of Geriatric Medicine (K.M.S.), Department of Medicine, Hennepin Healthcare, Minneapolis, MN; and Menzies Institute for Medical Research (M.R.N.), University of Tasmania, Hobart, Australia
| | - John J McNeil
- From the School of Public Health and Preventive Medicine (Z.Z., J.R., A.M.T., S.Z., P.L., R.W., S.G.O., J.J.M., C.Y., S.M.H., R.L.W.), Central Clinical School (C.Z.), and Turner Institute for Brain & Mental Health (T.T.-J.C.), Monash University, Melbourne, Victoria, Australia; Berman Center for Outcomes and Clinical Research (A.M.M.), Hennepin Healthcare Research Institute, Division of Geriatrics, Department of Medicine Hennepin HealthCare, Minneapolis, MN; School of Medicine (G.F.W., L.J.B.), University of Western Australia, Perth; Department of Pharmacy Practice and Science (M.E.E.), College of Pharmacy, The University of Iowa, Iowa City; Discipline of General Practice (N.S.), University of Adelaide, South Australia; School of Population Health (C.M.R.), Curtin University, Perth, Western Australia; Department of Family and Preventive Medicine and Rush Alzheimer's Disease Center (R.C.S., A.S.), Rush University Medical Center, Chicago, IL; Division of Geriatric Medicine (K.M.S.), Department of Medicine, Hennepin Healthcare, Minneapolis, MN; and Menzies Institute for Medical Research (M.R.N.), University of Tasmania, Hobart, Australia
| | - Chenglong Yu
- From the School of Public Health and Preventive Medicine (Z.Z., J.R., A.M.T., S.Z., P.L., R.W., S.G.O., J.J.M., C.Y., S.M.H., R.L.W.), Central Clinical School (C.Z.), and Turner Institute for Brain & Mental Health (T.T.-J.C.), Monash University, Melbourne, Victoria, Australia; Berman Center for Outcomes and Clinical Research (A.M.M.), Hennepin Healthcare Research Institute, Division of Geriatrics, Department of Medicine Hennepin HealthCare, Minneapolis, MN; School of Medicine (G.F.W., L.J.B.), University of Western Australia, Perth; Department of Pharmacy Practice and Science (M.E.E.), College of Pharmacy, The University of Iowa, Iowa City; Discipline of General Practice (N.S.), University of Adelaide, South Australia; School of Population Health (C.M.R.), Curtin University, Perth, Western Australia; Department of Family and Preventive Medicine and Rush Alzheimer's Disease Center (R.C.S., A.S.), Rush University Medical Center, Chicago, IL; Division of Geriatric Medicine (K.M.S.), Department of Medicine, Hennepin Healthcare, Minneapolis, MN; and Menzies Institute for Medical Research (M.R.N.), University of Tasmania, Hobart, Australia
| | - Gerald F Watts
- From the School of Public Health and Preventive Medicine (Z.Z., J.R., A.M.T., S.Z., P.L., R.W., S.G.O., J.J.M., C.Y., S.M.H., R.L.W.), Central Clinical School (C.Z.), and Turner Institute for Brain & Mental Health (T.T.-J.C.), Monash University, Melbourne, Victoria, Australia; Berman Center for Outcomes and Clinical Research (A.M.M.), Hennepin Healthcare Research Institute, Division of Geriatrics, Department of Medicine Hennepin HealthCare, Minneapolis, MN; School of Medicine (G.F.W., L.J.B.), University of Western Australia, Perth; Department of Pharmacy Practice and Science (M.E.E.), College of Pharmacy, The University of Iowa, Iowa City; Discipline of General Practice (N.S.), University of Adelaide, South Australia; School of Population Health (C.M.R.), Curtin University, Perth, Western Australia; Department of Family and Preventive Medicine and Rush Alzheimer's Disease Center (R.C.S., A.S.), Rush University Medical Center, Chicago, IL; Division of Geriatric Medicine (K.M.S.), Department of Medicine, Hennepin Healthcare, Minneapolis, MN; and Menzies Institute for Medical Research (M.R.N.), University of Tasmania, Hobart, Australia
| | - Sultana Monira Hussain
- From the School of Public Health and Preventive Medicine (Z.Z., J.R., A.M.T., S.Z., P.L., R.W., S.G.O., J.J.M., C.Y., S.M.H., R.L.W.), Central Clinical School (C.Z.), and Turner Institute for Brain & Mental Health (T.T.-J.C.), Monash University, Melbourne, Victoria, Australia; Berman Center for Outcomes and Clinical Research (A.M.M.), Hennepin Healthcare Research Institute, Division of Geriatrics, Department of Medicine Hennepin HealthCare, Minneapolis, MN; School of Medicine (G.F.W., L.J.B.), University of Western Australia, Perth; Department of Pharmacy Practice and Science (M.E.E.), College of Pharmacy, The University of Iowa, Iowa City; Discipline of General Practice (N.S.), University of Adelaide, South Australia; School of Population Health (C.M.R.), Curtin University, Perth, Western Australia; Department of Family and Preventive Medicine and Rush Alzheimer's Disease Center (R.C.S., A.S.), Rush University Medical Center, Chicago, IL; Division of Geriatric Medicine (K.M.S.), Department of Medicine, Hennepin Healthcare, Minneapolis, MN; and Menzies Institute for Medical Research (M.R.N.), University of Tasmania, Hobart, Australia
| | - Lawrence J Beilin
- From the School of Public Health and Preventive Medicine (Z.Z., J.R., A.M.T., S.Z., P.L., R.W., S.G.O., J.J.M., C.Y., S.M.H., R.L.W.), Central Clinical School (C.Z.), and Turner Institute for Brain & Mental Health (T.T.-J.C.), Monash University, Melbourne, Victoria, Australia; Berman Center for Outcomes and Clinical Research (A.M.M.), Hennepin Healthcare Research Institute, Division of Geriatrics, Department of Medicine Hennepin HealthCare, Minneapolis, MN; School of Medicine (G.F.W., L.J.B.), University of Western Australia, Perth; Department of Pharmacy Practice and Science (M.E.E.), College of Pharmacy, The University of Iowa, Iowa City; Discipline of General Practice (N.S.), University of Adelaide, South Australia; School of Population Health (C.M.R.), Curtin University, Perth, Western Australia; Department of Family and Preventive Medicine and Rush Alzheimer's Disease Center (R.C.S., A.S.), Rush University Medical Center, Chicago, IL; Division of Geriatric Medicine (K.M.S.), Department of Medicine, Hennepin Healthcare, Minneapolis, MN; and Menzies Institute for Medical Research (M.R.N.), University of Tasmania, Hobart, Australia
| | - Michael E Ernst
- From the School of Public Health and Preventive Medicine (Z.Z., J.R., A.M.T., S.Z., P.L., R.W., S.G.O., J.J.M., C.Y., S.M.H., R.L.W.), Central Clinical School (C.Z.), and Turner Institute for Brain & Mental Health (T.T.-J.C.), Monash University, Melbourne, Victoria, Australia; Berman Center for Outcomes and Clinical Research (A.M.M.), Hennepin Healthcare Research Institute, Division of Geriatrics, Department of Medicine Hennepin HealthCare, Minneapolis, MN; School of Medicine (G.F.W., L.J.B.), University of Western Australia, Perth; Department of Pharmacy Practice and Science (M.E.E.), College of Pharmacy, The University of Iowa, Iowa City; Discipline of General Practice (N.S.), University of Adelaide, South Australia; School of Population Health (C.M.R.), Curtin University, Perth, Western Australia; Department of Family and Preventive Medicine and Rush Alzheimer's Disease Center (R.C.S., A.S.), Rush University Medical Center, Chicago, IL; Division of Geriatric Medicine (K.M.S.), Department of Medicine, Hennepin Healthcare, Minneapolis, MN; and Menzies Institute for Medical Research (M.R.N.), University of Tasmania, Hobart, Australia
| | - Nigel Stocks
- From the School of Public Health and Preventive Medicine (Z.Z., J.R., A.M.T., S.Z., P.L., R.W., S.G.O., J.J.M., C.Y., S.M.H., R.L.W.), Central Clinical School (C.Z.), and Turner Institute for Brain & Mental Health (T.T.-J.C.), Monash University, Melbourne, Victoria, Australia; Berman Center for Outcomes and Clinical Research (A.M.M.), Hennepin Healthcare Research Institute, Division of Geriatrics, Department of Medicine Hennepin HealthCare, Minneapolis, MN; School of Medicine (G.F.W., L.J.B.), University of Western Australia, Perth; Department of Pharmacy Practice and Science (M.E.E.), College of Pharmacy, The University of Iowa, Iowa City; Discipline of General Practice (N.S.), University of Adelaide, South Australia; School of Population Health (C.M.R.), Curtin University, Perth, Western Australia; Department of Family and Preventive Medicine and Rush Alzheimer's Disease Center (R.C.S., A.S.), Rush University Medical Center, Chicago, IL; Division of Geriatric Medicine (K.M.S.), Department of Medicine, Hennepin Healthcare, Minneapolis, MN; and Menzies Institute for Medical Research (M.R.N.), University of Tasmania, Hobart, Australia
| | - Robyn L Woods
- From the School of Public Health and Preventive Medicine (Z.Z., J.R., A.M.T., S.Z., P.L., R.W., S.G.O., J.J.M., C.Y., S.M.H., R.L.W.), Central Clinical School (C.Z.), and Turner Institute for Brain & Mental Health (T.T.-J.C.), Monash University, Melbourne, Victoria, Australia; Berman Center for Outcomes and Clinical Research (A.M.M.), Hennepin Healthcare Research Institute, Division of Geriatrics, Department of Medicine Hennepin HealthCare, Minneapolis, MN; School of Medicine (G.F.W., L.J.B.), University of Western Australia, Perth; Department of Pharmacy Practice and Science (M.E.E.), College of Pharmacy, The University of Iowa, Iowa City; Discipline of General Practice (N.S.), University of Adelaide, South Australia; School of Population Health (C.M.R.), Curtin University, Perth, Western Australia; Department of Family and Preventive Medicine and Rush Alzheimer's Disease Center (R.C.S., A.S.), Rush University Medical Center, Chicago, IL; Division of Geriatric Medicine (K.M.S.), Department of Medicine, Hennepin Healthcare, Minneapolis, MN; and Menzies Institute for Medical Research (M.R.N.), University of Tasmania, Hobart, Australia
| | - Chao Zhu
- From the School of Public Health and Preventive Medicine (Z.Z., J.R., A.M.T., S.Z., P.L., R.W., S.G.O., J.J.M., C.Y., S.M.H., R.L.W.), Central Clinical School (C.Z.), and Turner Institute for Brain & Mental Health (T.T.-J.C.), Monash University, Melbourne, Victoria, Australia; Berman Center for Outcomes and Clinical Research (A.M.M.), Hennepin Healthcare Research Institute, Division of Geriatrics, Department of Medicine Hennepin HealthCare, Minneapolis, MN; School of Medicine (G.F.W., L.J.B.), University of Western Australia, Perth; Department of Pharmacy Practice and Science (M.E.E.), College of Pharmacy, The University of Iowa, Iowa City; Discipline of General Practice (N.S.), University of Adelaide, South Australia; School of Population Health (C.M.R.), Curtin University, Perth, Western Australia; Department of Family and Preventive Medicine and Rush Alzheimer's Disease Center (R.C.S., A.S.), Rush University Medical Center, Chicago, IL; Division of Geriatric Medicine (K.M.S.), Department of Medicine, Hennepin Healthcare, Minneapolis, MN; and Menzies Institute for Medical Research (M.R.N.), University of Tasmania, Hobart, Australia
| | - Christopher M Reid
- From the School of Public Health and Preventive Medicine (Z.Z., J.R., A.M.T., S.Z., P.L., R.W., S.G.O., J.J.M., C.Y., S.M.H., R.L.W.), Central Clinical School (C.Z.), and Turner Institute for Brain & Mental Health (T.T.-J.C.), Monash University, Melbourne, Victoria, Australia; Berman Center for Outcomes and Clinical Research (A.M.M.), Hennepin Healthcare Research Institute, Division of Geriatrics, Department of Medicine Hennepin HealthCare, Minneapolis, MN; School of Medicine (G.F.W., L.J.B.), University of Western Australia, Perth; Department of Pharmacy Practice and Science (M.E.E.), College of Pharmacy, The University of Iowa, Iowa City; Discipline of General Practice (N.S.), University of Adelaide, South Australia; School of Population Health (C.M.R.), Curtin University, Perth, Western Australia; Department of Family and Preventive Medicine and Rush Alzheimer's Disease Center (R.C.S., A.S.), Rush University Medical Center, Chicago, IL; Division of Geriatric Medicine (K.M.S.), Department of Medicine, Hennepin Healthcare, Minneapolis, MN; and Menzies Institute for Medical Research (M.R.N.), University of Tasmania, Hobart, Australia
| | - Raj C Shah
- From the School of Public Health and Preventive Medicine (Z.Z., J.R., A.M.T., S.Z., P.L., R.W., S.G.O., J.J.M., C.Y., S.M.H., R.L.W.), Central Clinical School (C.Z.), and Turner Institute for Brain & Mental Health (T.T.-J.C.), Monash University, Melbourne, Victoria, Australia; Berman Center for Outcomes and Clinical Research (A.M.M.), Hennepin Healthcare Research Institute, Division of Geriatrics, Department of Medicine Hennepin HealthCare, Minneapolis, MN; School of Medicine (G.F.W., L.J.B.), University of Western Australia, Perth; Department of Pharmacy Practice and Science (M.E.E.), College of Pharmacy, The University of Iowa, Iowa City; Discipline of General Practice (N.S.), University of Adelaide, South Australia; School of Population Health (C.M.R.), Curtin University, Perth, Western Australia; Department of Family and Preventive Medicine and Rush Alzheimer's Disease Center (R.C.S., A.S.), Rush University Medical Center, Chicago, IL; Division of Geriatric Medicine (K.M.S.), Department of Medicine, Hennepin Healthcare, Minneapolis, MN; and Menzies Institute for Medical Research (M.R.N.), University of Tasmania, Hobart, Australia
| | - Trevor T-J Chong
- From the School of Public Health and Preventive Medicine (Z.Z., J.R., A.M.T., S.Z., P.L., R.W., S.G.O., J.J.M., C.Y., S.M.H., R.L.W.), Central Clinical School (C.Z.), and Turner Institute for Brain & Mental Health (T.T.-J.C.), Monash University, Melbourne, Victoria, Australia; Berman Center for Outcomes and Clinical Research (A.M.M.), Hennepin Healthcare Research Institute, Division of Geriatrics, Department of Medicine Hennepin HealthCare, Minneapolis, MN; School of Medicine (G.F.W., L.J.B.), University of Western Australia, Perth; Department of Pharmacy Practice and Science (M.E.E.), College of Pharmacy, The University of Iowa, Iowa City; Discipline of General Practice (N.S.), University of Adelaide, South Australia; School of Population Health (C.M.R.), Curtin University, Perth, Western Australia; Department of Family and Preventive Medicine and Rush Alzheimer's Disease Center (R.C.S., A.S.), Rush University Medical Center, Chicago, IL; Division of Geriatric Medicine (K.M.S.), Department of Medicine, Hennepin Healthcare, Minneapolis, MN; and Menzies Institute for Medical Research (M.R.N.), University of Tasmania, Hobart, Australia
| | - Ajay Sood
- From the School of Public Health and Preventive Medicine (Z.Z., J.R., A.M.T., S.Z., P.L., R.W., S.G.O., J.J.M., C.Y., S.M.H., R.L.W.), Central Clinical School (C.Z.), and Turner Institute for Brain & Mental Health (T.T.-J.C.), Monash University, Melbourne, Victoria, Australia; Berman Center for Outcomes and Clinical Research (A.M.M.), Hennepin Healthcare Research Institute, Division of Geriatrics, Department of Medicine Hennepin HealthCare, Minneapolis, MN; School of Medicine (G.F.W., L.J.B.), University of Western Australia, Perth; Department of Pharmacy Practice and Science (M.E.E.), College of Pharmacy, The University of Iowa, Iowa City; Discipline of General Practice (N.S.), University of Adelaide, South Australia; School of Population Health (C.M.R.), Curtin University, Perth, Western Australia; Department of Family and Preventive Medicine and Rush Alzheimer's Disease Center (R.C.S., A.S.), Rush University Medical Center, Chicago, IL; Division of Geriatric Medicine (K.M.S.), Department of Medicine, Hennepin Healthcare, Minneapolis, MN; and Menzies Institute for Medical Research (M.R.N.), University of Tasmania, Hobart, Australia
| | - Kerry M Sheets
- From the School of Public Health and Preventive Medicine (Z.Z., J.R., A.M.T., S.Z., P.L., R.W., S.G.O., J.J.M., C.Y., S.M.H., R.L.W.), Central Clinical School (C.Z.), and Turner Institute for Brain & Mental Health (T.T.-J.C.), Monash University, Melbourne, Victoria, Australia; Berman Center for Outcomes and Clinical Research (A.M.M.), Hennepin Healthcare Research Institute, Division of Geriatrics, Department of Medicine Hennepin HealthCare, Minneapolis, MN; School of Medicine (G.F.W., L.J.B.), University of Western Australia, Perth; Department of Pharmacy Practice and Science (M.E.E.), College of Pharmacy, The University of Iowa, Iowa City; Discipline of General Practice (N.S.), University of Adelaide, South Australia; School of Population Health (C.M.R.), Curtin University, Perth, Western Australia; Department of Family and Preventive Medicine and Rush Alzheimer's Disease Center (R.C.S., A.S.), Rush University Medical Center, Chicago, IL; Division of Geriatric Medicine (K.M.S.), Department of Medicine, Hennepin Healthcare, Minneapolis, MN; and Menzies Institute for Medical Research (M.R.N.), University of Tasmania, Hobart, Australia
| | - Mark R Nelson
- From the School of Public Health and Preventive Medicine (Z.Z., J.R., A.M.T., S.Z., P.L., R.W., S.G.O., J.J.M., C.Y., S.M.H., R.L.W.), Central Clinical School (C.Z.), and Turner Institute for Brain & Mental Health (T.T.-J.C.), Monash University, Melbourne, Victoria, Australia; Berman Center for Outcomes and Clinical Research (A.M.M.), Hennepin Healthcare Research Institute, Division of Geriatrics, Department of Medicine Hennepin HealthCare, Minneapolis, MN; School of Medicine (G.F.W., L.J.B.), University of Western Australia, Perth; Department of Pharmacy Practice and Science (M.E.E.), College of Pharmacy, The University of Iowa, Iowa City; Discipline of General Practice (N.S.), University of Adelaide, South Australia; School of Population Health (C.M.R.), Curtin University, Perth, Western Australia; Department of Family and Preventive Medicine and Rush Alzheimer's Disease Center (R.C.S., A.S.), Rush University Medical Center, Chicago, IL; Division of Geriatric Medicine (K.M.S.), Department of Medicine, Hennepin Healthcare, Minneapolis, MN; and Menzies Institute for Medical Research (M.R.N.), University of Tasmania, Hobart, Australia
| |
Collapse
|
7
|
Du G, Song X, Zhou F, Ouyang L, Li Q, Ruan S, Su R, Rao S, Zhu Y, Xie J, Feng C, Fan G. Association Between Multiple Metal(loid)s Exposure and Blood Lipid Levels: Evidence from a Cross-Sectional Study of Southeastern China. Biol Trace Elem Res 2023:10.1007/s12011-023-03951-2. [PMID: 37991670 DOI: 10.1007/s12011-023-03951-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 11/01/2023] [Indexed: 11/23/2023]
Abstract
Exposure to essential and toxic metals occurs simultaneously as a mixture in real-life. However, there is no consensus regarding the effects of co-exposure to multiple metal(loid)s (designated hereafter metals) on blood lipid levels. Thus, blood concentrations of six human essential metals and five toxic metals in 720 general populations from southeastern China were simultaneously determined as a measure of exposure. In addition, quantile g-computation, Bayesian kernel machine regression, elastic net regression, and generalized linear model were used to investigate both the joint and individual effects of exposure to this metal mixture on human blood lipid levels. The significant positive joint effect of exposure to this metal mixture on serum total cholesterol (TC) levels, rather than on serum triglycerides, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol, Castelli risk index I, Castelli risk index II, atherogenic coefficient, and non-HDL-C levels, was found. In addition, the positive effect may be primarily driven by selenium (Se), lead (Pb), and mercury (Hg) exposure. In addition, on the effect of TC levels, the synergistic effect between Pb and Hg and the antagonistic effect between Se and Pb were identified. Our finding suggests that combined exposure to this metal mixture may affect human blood lipid levels. Therefore, reducing exposure to heavy metals, such as Pb and Hg, should be a priority for the general population. In addition, Se supplementation should also be considered with caution.
Collapse
Affiliation(s)
- Guihua Du
- Department of Occupational Health and Toxicology, School of Public Health, Nanchang University, Nanchang, 330006, People's Republic of China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, 330006, People's Republic of China
| | - Xiaoguang Song
- Department of Occupational Health and Toxicology, School of Public Health, Nanchang University, Nanchang, 330006, People's Republic of China
- Institute of Environmental Health, Jiangxi Province Center for Disease Control and Prevention, Nanchang, 330046, People's Republic of China
| | - Fankun Zhou
- Department of Occupational Health and Toxicology, School of Public Health, Nanchang University, Nanchang, 330006, People's Republic of China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, 330006, People's Republic of China
| | - Lu Ouyang
- Department of Occupational Health and Toxicology, School of Public Health, Nanchang University, Nanchang, 330006, People's Republic of China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, 330006, People's Republic of China
| | - Qi Li
- Department of Occupational Health and Toxicology, School of Public Health, Nanchang University, Nanchang, 330006, People's Republic of China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, 330006, People's Republic of China
| | - Shiying Ruan
- Department of Occupational Health and Toxicology, School of Public Health, Nanchang University, Nanchang, 330006, People's Republic of China
- The First Affiliated Hospital of Nanchang University, Nanchang, 330006, People's Republic of China
| | - Rui Su
- Department of Occupational Health and Toxicology, School of Public Health, Nanchang University, Nanchang, 330006, People's Republic of China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, 330006, People's Republic of China
| | - Shaoqi Rao
- Department of Occupational Health and Toxicology, School of Public Health, Nanchang University, Nanchang, 330006, People's Republic of China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, 330006, People's Republic of China
| | - Yanhui Zhu
- Department of Occupational Health and Toxicology, School of Public Health, Nanchang University, Nanchang, 330006, People's Republic of China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, 330006, People's Republic of China
| | - Jie Xie
- Department of Occupational Health and Toxicology, School of Public Health, Nanchang University, Nanchang, 330006, People's Republic of China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, 330006, People's Republic of China
| | - Chang Feng
- Department of Occupational Health and Toxicology, School of Public Health, Nanchang University, Nanchang, 330006, People's Republic of China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, 330006, People's Republic of China
| | - Guangqin Fan
- Department of Occupational Health and Toxicology, School of Public Health, Nanchang University, Nanchang, 330006, People's Republic of China.
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, 330006, People's Republic of China.
| |
Collapse
|
8
|
Gong F, Shi Q, Mou X, Wang K, Wang Q, Wang H. Atorvastatin mitigates memory deficits and brain monocyte infiltration in chronic hypercholesterolemia. Aging (Albany NY) 2023; 15:13669-13679. [PMID: 38048213 PMCID: PMC10756112 DOI: 10.18632/aging.205217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 09/08/2023] [Indexed: 12/06/2023]
Abstract
Mild cognitive impairment (MCI) is a common symptom observed in people over 60 years old and is found to be aggravated by hypercholesterolemia. Severe neuroinflammation induced by BBB dysfunction and monocyte infiltration might be responsible for neuron damage and cognitive impairment. Atorvastatin is a lipid-lowering drug that is widely applied for the treatment of cardiovascular diseases. However, the potential function of Atorvastatin in hypercholesterolemia-induced MCI remains uncertain. Our research will explore the potential therapeutic function of Atorvastatin in memory deficits induced by chronic hypercholesterolemia. ApoE-/- mice were utilized to mimic the state of chronic hypercholesterolemia and were divided into four groups. Animals in the WT and ApoE-/-groups were orally administered with normal saline, while WT mice in the Atorvastatin group and ApoE-/- mice in the ApoE-/-+ Atorvastatin group were orally administered with 10 mg/kg/day Atorvastatin. Markedly increased plasma cholesterol levels reduced RI in the long-term memory test and the spatial short-term memory test, declined mobility in the open field test, and downregulated PSD-95 and BDNF were observed in ApoE-/- mice, all of which were signally reversed by Atorvastatin. Moreover, the percentages of brain Ly6Chi CD45+ cells and CD3+ CD45+ cells, as well as the blood Ly6Chi CD45+ cells, plasma IL-12/IL-23 levels and IL-17 level were found notably increased in ApoE-/- mice, all of which were largely repressed by Atorvastatin. Lastly, the increased BBB permeability, decreased ZO-1 and occludin levels, and reduced KLF2 level were markedly abolished by Atorvastatin. Collectively, Atorvastatin mitigated memory deficits and brain monocyte infiltration in ApoE-/- mice.
Collapse
Affiliation(s)
- Fengchao Gong
- Department of Neurology, The Second Affiliated Hospital of Shandong First Medical University, Tai'an 271000, Shandong, China
| | - Qian Shi
- Department of Ultrasound, The Second Affiliated Hospital of Shandong First Medical University, Tai'an 271000, Shandong, China
| | - Xiaojie Mou
- Department of Neurology, The Second Affiliated Hospital of Shandong First Medical University, Tai'an 271000, Shandong, China
| | - Kang Wang
- Department of Neurology, The Second Affiliated Hospital of Shandong First Medical University, Tai'an 271000, Shandong, China
| | - Qianqian Wang
- Department of Ultrasound, The Second Affiliated Hospital of Shandong First Medical University, Tai'an 271000, Shandong, China
| | - Haitao Wang
- Department of Neurology, The Second Affiliated Hospital of Shandong First Medical University, Tai'an 271000, Shandong, China
| |
Collapse
|
9
|
Duan W, Lu L, Cui C, Shu T, Duan D. Examination of brain area volumes based on voxel-based morphometry and multidomain cognitive impairment in asymptomatic unilateral carotid artery stenosis. Front Aging Neurosci 2023; 15:1128380. [PMID: 37009454 PMCID: PMC10050734 DOI: 10.3389/fnagi.2023.1128380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 02/21/2023] [Indexed: 03/17/2023] Open
Abstract
ObjectiveRecent evidence has demonstrated that unilateral carotid artery stenosis (CAS) can contribute to the development of cognitive impairment. However, the features of cognitive dysfunction induced by unilateral CAS remain unclear.MethodsSixty asymptomatic patients with unilateral CAS were divided into mild, moderate and severe stenosis groups. These patients and 20 healthy controls provided clinical data and serum, which was used to assess the levels of certain vascular risk factors. Then, they participated in a battery of neuropsychological tests. Additionally, all participants underwent a 3.0 T magnetic resonance imaging (MRI) scan of the brain. Chi-square tests and one-way ANOVA were used to determine significant differences in the risk factors and cognitive test scores between groups. Multiple logistic regression analysis and the receiver operating characteristic (ROC) curve analysis were performed to identify the independent risk factors for cognitive impairment in patients with CAS. Finally, fluid attenuated inversion recovery (FLAIR) T1-weighted MRI images were processed by voxel-based morphometry (VBM) analysis using the Statistical Parametric Mapping (SPM) 8 software.ResultsCompared with healthy controls, the scores of the Mini-Mental State Examination, Digital Span Test backward, and Rapid Verbal Retrieve were significantly reduced in patients with left CAS. The scores in all cognitive scales were significantly lower in patients with right CAS than in controls. Logistic regression analysis demonstrated that the degree of carotid stenosis was an independent risk factor for cognitive impairment in asymptomatic patients with unilateral CAS. Furthermore, VBM analysis showed that, compared with those in healthy controls, gray matter and white matter volumes in specific brain areas were markedly decreased in patients with severe unilateral CAS. However, in patients with moderate right CAS, there was a significant decline in the volume of gray matter in the left parahippocampal gyrus and supplementary motor area. Additionally, the volume of white matter in the left insula was obviously lower in patients with moderate right CAS than in healthy controls.ConclusionUnilateral asymptomatic CAS, especially on the right side, contributed to cognitive impairment, including memory, language, attention, executive function and visuospatial function. In addition, based on VBM analysis, both gray matter atrophy and white matter lesions were found in patients with unilateral asymptomatic CAS.
Collapse
Affiliation(s)
- Wei Duan
- Department of Neurology, The Second Affiliated Hospital (Xinqiao Hospital), Army Medical University (Third Military Medical University), Chongqing, China
| | - Li Lu
- Department of Neurology, The Second Affiliated Hospital (Xinqiao Hospital), Army Medical University (Third Military Medical University), Chongqing, China
| | - Chun Cui
- Department of Radiology, The Second Affiliated Hospital (Xinqiao Hospital), Army Medical University (Third Military Medical University), Chongqing, China
| | - Tongsheng Shu
- Department of Radiology, The Second Affiliated Hospital (Xinqiao Hospital), Army Medical University (Third Military Medical University), Chongqing, China
| | - Dazhi Duan
- Department of Neurology, The Second Affiliated Hospital (Xinqiao Hospital), Army Medical University (Third Military Medical University), Chongqing, China
- *Correspondence: Dazhi Duan,
| |
Collapse
|
10
|
Lei Q, Xiao Z, Wu W, Liang X, Zhao Q, Ding D, Deng W. The Joint Effect of Body Mass Index and Serum Lipid Levels on Incident Dementia among Community-Dwelling Older Adults. J Nutr Health Aging 2023; 27:1118-1126. [PMID: 37997734 DOI: 10.1007/s12603-023-2027-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 10/11/2023] [Indexed: 11/25/2023]
Abstract
OBJECTIVES This study aimed to explore the joint effect of body mass index (BMI) and serum lipids levels on incident dementia. METHODS We prospectively followed up with 1,627 dementia-free community residents aged ≥60 for 5.7 years on average. At baseline, weight, and height were measured, and total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) were detected in serum. Demographic characteristics were collected through questionnaires. Dementia was based on consensus diagnosis of neurologists and neuropsychologists using DSM-IV criteria. Additive Cox proportional model was used to assess the exposure-response relationship between BMI and serum lipid levels and dementia risk. Interactions and further classifications of BMI and serum lipid levels were further presented by bivariate surface models and decision-tree models. RESULTS The joint effects of TC with BMI, TG with BMI, and LDL-C with BMI on the risk of incident dementia shared a similar pattern, different from their independent exposure-response curves. The joint effect of HDL-C with BMI showed an S-surface but without statistical significance. Participants with TC<5.4 mmol/L and BMI<21 kg/m2 (Hazard Ratio(HR) 1.93, 95% Confidence Interval (CI) 1.05-3.53), TC<5.4 mmol/L and BMI≥21 kg/m2 (HR 1.73, 95% CI 1.09-2.72), and TC≥5.4 mmol/L and BMI<21 kg/m2 (HR 4.02, 95% CI 2.10-7.71) were identified to have the increased risk of incident dementia compared to those with TC≥5.4 mmol/L and BMI≥21 kg/m2. Participants with TG<1.7 mmol/L and BMI<21 kg/m2 had an increased risk of incident dementia compared to those with TG≥1.7 mmol/L and BMI≥21 kg/m2 (HR 1.98, 95%CI 1.17-3.3). Participants with LDL-C≥3.3 mmol/L and BMI<21 kg/m2 were identified to have an increased risk of incident dementia compared to those with LDL-C≥3.3 mmol/L and BMI≥21 kg/m2 (HR 3.33, 95%CI 1.64-6.78). CONCLUSIONS Our study showed that low BMI combined with low or high levels of serum lipids may increase the risk of dementia among older adults. This finding suggests the potential impacts of these two metabolic indexes on the risk of dementia.
Collapse
Affiliation(s)
- Q Lei
- Wei Deng, 138 Yixueyuan Rd., Department of Biostatistics, School of Public Health, Fudan University, Shanghai 200032, China, ; Ding Ding, 12 Wulumuqi Zhong Rd., Institute of Neurology, Huashan Hospital, Fudan University, Shanghai 200040, China,
| | | | | | | | | | | | | |
Collapse
|
11
|
Liu Y, Yu X, Han P, Chen X, Wang F, Lian X, Li J, Li R, Wang B, Xu C, Li J, Zheng Y, Zhang Z, Li M, Yu Y, Guo Q. Gender-specific prevalence and risk factors of mild cognitive impairment among older adults in Chongming, Shanghai, China. Front Aging Neurosci 2022; 14:900523. [PMID: 36118698 PMCID: PMC9475287 DOI: 10.3389/fnagi.2022.900523] [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: 03/20/2022] [Accepted: 08/15/2022] [Indexed: 11/13/2022] Open
Abstract
Objective This study explores the gender differences in the prevalence of mild cognitive impairment (MCI) and the correlation between multiple influencing factors. Materials and methods The sample was comprised of 1325 relatively healthy participants aged ≥ 60 years in a Shanghai community-dwelling (557 males and 768 females). Cognitive function was assessed by Mini-Mental State Examination (MMSE). The Instrumental Activities of Daily Living (IADL) scale was used to assess the activities of daily living. Results The overall prevalence of MCI was 15.2%, with 10.2% in men and 18.9% in women. In older male subjects, those with higher the Geriatric Depression Scale (GDS) scores [odds ratio (OR) = 1.07, 95% confidence interval (CI) = 1.01–1.14] and hypertension (OR = 2.33, 95% CI = 1.15–4.73) had a higher risk of MCI. female subjects who were illiterate (OR = 2.95, 95% CI = 1.82–4.78), had a farming background (OR = 1.69, 95% CI = 1.05–2.72), and a history of stroke (OR = 1.96, 95% CI = 1.07–3.59) had a higher risk of MCI, but this was not true for males. However, Male subjects who never smoked were less likely to have MCI (OR = 0.22, 95% CI = 0.09–0.54). Additionally, the prevalence of MCI was lower in older women with high grip strength (OR = 0.96, 95% CI = 0.92–0.99) and hyperlipidemia (OR = 0.45, 95% CI = 0.22–0.96). Conclusion The prevalence of MCI was higher in the population of elderly women compared to men. Moreover, it was found that members with MCI tended to having higher GDS scores, smoking, and hypertension; whereas a history of farming, illiteracy, stroke, grip strength, and hyperlipidemia were correlated with MCI in women.
Collapse
Affiliation(s)
- Yuewen Liu
- Shanghai University of Medicine and Health Sciences, Shanghai, China
- Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
| | - Xing Yu
- Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Peipei Han
- Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Xiaoyu Chen
- Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Feng Wang
- Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xuan Lian
- Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jiayu Li
- Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Ruijin Li
- Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Beibei Wang
- Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Chunliu Xu
- Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Junxue Li
- Shanghai Health Rehabilitation Hospital, Shanghai, China
| | | | | | - Ming Li
- Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
| | - Ying Yu
- Shanghai University of Medicine and Health Sciences, Shanghai, China
- *Correspondence: Ying Yu,
| | - Qi Guo
- Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
- Qi Guo,
| |
Collapse
|
12
|
Pal L, Morgan K, Santoro NF, Manson JE, Taylor HS, Miller VM, Brinton EA, Lobo R, Neal-Perry G, Cedars MI, Harman SM, James TT, Gleason CE. Cardiometabolic measures and cognition in early menopause - Analysis of baseline data from a randomized controlled trial. Maturitas 2022; 162:58-65. [PMID: 35617770 PMCID: PMC10089771 DOI: 10.1016/j.maturitas.2022.04.004] [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: 11/22/2021] [Revised: 01/31/2022] [Accepted: 04/06/2022] [Indexed: 10/18/2022]
Abstract
OBJECTIVE The relationships between cardiometabolic indices and cognition were examined in recently menopausal women. METHODS Cross-sectional analysis of baseline data from the KEEPS (Kronos Early Estrogen Prevention Study)-Cognitive ancillary study (n = 621). Cognitive performance was assessed by the Modified Mini Mental Status (3MS) score (primary outcome). Physical cardiometabolic indices included body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and blood pressure (BP). Biochemical cardiometabolic indices included serum levels of high sensitivity C-reactive protein (hs-CRP), total cholesterol (TC), low-density lipoprotein (LDL-C), high-density lipoprotein (HDL-C), non-HDL (non-HDL-C), triglycerides (TG), fasting serum glucose (FSG), and insulin resistance (HOMA-IR). Socio-demographic variables included age, race/ethnicity, education, and lifestyle (physical activity, smoking). Central adiposity was defined as WC > 88 cm (>35 in) and WHR > 0.8. Separate stepwise multivariable analyses (GLM, ordinal logistic regression and logistic regression) assessed relationships between 3MS scores (as continuous, in tertiles and dichotomized at 90 respectively) with the measures of central adiposity (predictor variables); socio-demographic variables (age, time since menopause, race, educational status and lifestyle) and cardiometabolic variables (BP, lipids, FSG, HOMA-IR and hs-CRP) were examined as covariates. The final multivariable models included time since menopause, race, ethnicity, educational status, strenuous exercise, BMI ≥30 kg/m2, non-HDL-C and hs-CRP as covariates. Due to the high collinearity between the two indices of central adiposity, within each analytic strategy, separate models examined the respective associations of WC > 88 cm and WHR > 0.8 with 3MS score. RESULTS On adjusted analyses, indices of central adiposity were independent predictors of significantly lower 3MS scores (p < 0.05). Consistency in this relationship was observed across the three different multivariable regression analytic approaches (GLM, ordinal and logistic regression). CONCLUSIONS Among recently menopausal women, WC > 88 cm and WHR > 0.8 were associated with significantly lower cognitive function, as reflected by lower 3MS scores. The mechanisms that might explain the observed negative implications of central adiposity for cognitive function warrant further study.
Collapse
Affiliation(s)
- Lubna Pal
- Department of Obstetrics, Gynecology & Reproductive Sciences, Yale University School of Medicine, New Haven, CT, United States.
| | - Kelly Morgan
- SSM Health Dean Medical Group, Madison, WI, United States
| | - Nanette F Santoro
- Department of Obstetrics, Gynecology, University of Colorado, Denver, United States
| | - JoAnn E Manson
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, United States
| | - Hugh S Taylor
- Department of Obstetrics, Gynecology & Reproductive Sciences, Yale University School of Medicine, New Haven, CT, United States
| | - Virginia M Miller
- Department of Surgery, Mayo Clinic, United States; Department of Physiology and Biomedical Engineering, Mayo Clinic, United States
| | | | - Rogerio Lobo
- Department of Obstetrics and Gynecology, Columbia University, United States
| | - Genevieve Neal-Perry
- Department of Obstetrics and Gynecology, The University of North Carolina at Chapel Hill, United States
| | - Marcelle I Cedars
- Department of Obstetrics, Gynecology and Reproductive Sciences, UCSF, United States
| | - S Mitchell Harman
- Kronos Longevity Research Institute and the Phoenix Veterans Administration Health Care System, Phoenix, AZ, United States
| | - Taryn T James
- Division of Geriatrics, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison Geriatric Research Education and Clinical Center (GRECC), United States
| | - Carey E Gleason
- Division of Geriatrics, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison Geriatric Research Education and Clinical Center (GRECC), United States
| |
Collapse
|
13
|
Leirós M, Amenedo E, Rodríguez M, Pazo-Álvarez P, Franco L, Leis R, Martínez-Olmos MÁ, Arce C. Cognitive Status and Nutritional Markers in a Sample of Institutionalized Elderly People. Front Aging Neurosci 2022; 14:880405. [PMID: 35686024 PMCID: PMC9171327 DOI: 10.3389/fnagi.2022.880405] [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: 02/21/2022] [Accepted: 04/19/2022] [Indexed: 11/13/2022] Open
Abstract
Background Since many of the risk factors for cognitive decline can be modified by diet, the study of nutrition and its relationships with cognitive status in aging has increased considerably in recent years. However, there are hardly any studies that have assessed cognitive status using a comprehensive set of neuropsychological tests along with measures of functional capacity and mood and that have related it to nutritional status measured from several nutritional parameters that have shown its relationships with cognitive function. Objective To test the differences in depressive symptomatology and in several measures of nutritional status between three groups classified according to their cognitive status (CS hereafter). Method One hundred thirteen participants from nursing homes in Galicia, Spain, underwent a comprehensive neuropsychological examination, including a general screening test (MMSE) and tests for different cognitive domains along with measures of activities of daily living (ADL) and assessment of depressive symptomatology (GDS-SF). According to established clinical criteria, participants were divided into three CS groups, Cognitively Intact (CI), Mild Cognitive Impairment (MCI), and All-Cause Dementia (ACD). Nutritional status was also examined using blood-derived measures, body mass index (BMI) and a nutritional screening test (MNA-SF). Differences between CS groups in all nutritional variables were studied by one-way ANOVAs with post-hoc Bonferroni correction or Kruskal-Wallis with Games-Howell post-hoc correction when appropriate. Multinomial logistic regression was also applied to test the association between nutritional variables and CS. Results Differences between CS groups were statistically significant for depressive symptomatology, vitamin A and D, albumin, selenium (Se), uric acid (UA), and BMI. The results of multinomial logistic regression found positive associations between groups with better CS and higher concentrations of vitamins A and D, transthyretin (TTR), albumin, Se, and UA, while negative associations were found for BMI. Conclusion Higher serum levels of vitamin A, vitamin D, TTR, albumin, Se, and UA could act as protective factors against cognitive decline, whereas higher BMI could act as a risk factor.
Collapse
Affiliation(s)
- María Leirós
- Research Group in Cognitive and Affective Neuroscience (NECEA), Department of Clinical Psychology and Psychobiology, University of Santiago de Compostela, A Coruña, Spain
| | - Elena Amenedo
- Research Group in Cognitive and Affective Neuroscience (NECEA), Department of Clinical Psychology and Psychobiology, University of Santiago de Compostela, A Coruña, Spain
| | - Marina Rodríguez
- Research Group in Cognitive and Affective Neuroscience (NECEA), Department of Clinical Psychology and Psychobiology, University of Santiago de Compostela, A Coruña, Spain
| | - Paula Pazo-Álvarez
- Research Group in Cognitive and Affective Neuroscience (NECEA), Department of Clinical Psychology and Psychobiology, University of Santiago de Compostela, A Coruña, Spain
| | - Luis Franco
- Economic Analysis and Modeling Group, Instituto de Estudios y Desarrollo de Galicia (IDEGA), Santiago de Compostela, Spain
| | - Rosaura Leis
- Pediatric Gastroenterology, Hepatology and Nutrition Unit, Hospital Clínico Universitario de Santiago, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago de Compostela, Spain.,Unit of Investigation in Nutrition, Growth and Human Development of Galicia, Department of Forensic Sciences, Pathological Anatomy, Gynecology and Obstetrics, and Pediatrics, University of Santiago de Compostela, Santiago de Compostela, Spain.,CIBEROBN (Physiopathology of Obesity and Nutrition), Institute of Health Carlos III (ISCIII), Madrid, Spain
| | - Miguel-Ángel Martínez-Olmos
- CIBEROBN (Physiopathology of Obesity and Nutrition), Institute of Health Carlos III (ISCIII), Madrid, Spain.,Section of Endocrinology-Nutrition Area, Hospital Clínico Universitario de Santiago de Compostela, Santiago de Compostela, Spain
| | - Constantino Arce
- Department of Social, Basic and Methodology Psychology, University of Santiago de Compostela, Santiago de Compostela, Spain
| | | |
Collapse
|
14
|
Li P, Gao Y, Ma X, Zhou S, Guo Y, Xu J, Wang X, Van Halm-Lutterodt N, Yuan L. Study on the Association of Dietary Fatty Acid Intake and Serum Lipid Profiles With Cognition in Aged Subjects With Type 2 Diabetes Mellitus. Front Aging Neurosci 2022; 14:846132. [PMID: 35431907 PMCID: PMC9009143 DOI: 10.3389/fnagi.2022.846132] [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: 12/30/2021] [Accepted: 02/28/2022] [Indexed: 11/27/2022] Open
Abstract
Background The correlation between dietary fatty acid (FA) intake and serum lipid profile levels with cognition in the aged population has been reported by previous studies. However, the association of dietary FA intake and serum lipid profile levels with cognition in subjects with type 2 diabetes mellitus (T2DM) is seldom reported. Objective A cross-sectional study was conducted to explore the correlation between dietary FA intake and serum lipid profiles with cognition in the aged Chinese population with T2DM. Methods A total of 1,526 aged Chinese subjects were recruited from communities. Fasting blood samples were collected for parameter measurement. The food frequency questionnaire (FFQ) method was applied for a dietary survey. Cognition was assessed using the Montreal Cognitive Assessment (MoCA) test. Dietary FA intake and serum lipid levels were compared between subjects with T2DM and control subjects. A logistic regression analysis was carried out for analyzing the association of FA intake and serum lipid levels with the risk of mild cognitive impairment (MCI) in subjects with T2DM and control subjects. Results There was a significant difference in the serum lipid level between the T2DM group and the control group. Results of the logistic regression analysis demonstrated the potential associations of serum total cholesterol (TC), low-density lipoprotein cholesterol (LDL-c), and dietary n-3 polyunsaturated fatty acids (PUFAs) intake with the risk of MCI in subjects with T2DM, but the associations were not observed in control subjects. Conclusion The T2DM phenotype might affect the relationship between dietary FA intake, circulating lipids, and cognitive performance. Large prospective cohort studies are needed to uncover the underlying mechanism of how dietary FA intake and serum lipid levels affect cognition in aged subjects with T2DM.
Collapse
Affiliation(s)
- Pengfei Li
- School of Public Health, Capital Medical University, Beijing, China
| | - Yanyan Gao
- School of Public Health, Capital Medical University, Beijing, China
| | - Xiaojun Ma
- School of Public Health, Capital Medical University, Beijing, China
| | - Shaobo Zhou
- School of Life Sciences, Institute of Biomedical and Environmental Science and Technology, University of Bedfordshire, Luton, United Kingdom
| | - Yujie Guo
- School of Public Health, Capital Medical University, Beijing, China
| | - Jingjing Xu
- School of Public Health, Capital Medical University, Beijing, China
| | - Xixiang Wang
- School of Public Health, Capital Medical University, Beijing, China
| | | | - Linhong Yuan
- School of Public Health, Capital Medical University, Beijing, China
| |
Collapse
|
15
|
Ryan MC, Hong LE, Hatch KS, Gao S, Chen S, Haerian K, Wang J, Goldwaser EL, Du X, Adhikari BM, Bruce H, Hare S, Kvarta MD, Jahanshad N, Nichols TE, Thompson PM, Kochunov P. The additive impact of cardio-metabolic disorders and psychiatric illnesses on accelerated brain aging. Hum Brain Mapp 2022; 43:1997-2010. [PMID: 35112422 PMCID: PMC8933252 DOI: 10.1002/hbm.25769] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2021] [Revised: 11/28/2021] [Accepted: 12/28/2021] [Indexed: 12/24/2022] Open
Abstract
Severe mental illnesses (SMI) including major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia spectrum disorder (SSD) elevate accelerated brain aging risks. Cardio‐metabolic disorders (CMD) are common comorbidities in SMI and negatively impact brain health. We validated a linear quantile regression index (QRI) approach against the machine learning “BrainAge” index in an independent SSD cohort (N = 206). We tested the direct and additive effects of SMI and CMD effects on accelerated brain aging in the N = 1,618 (604 M/1,014 F, average age = 63.53 ± 7.38) subjects with SMI and N = 11,849 (5,719 M/6,130 F; 64.42 ± 7.38) controls from the UK Biobank. Subjects were subdivided based on diagnostic status: SMI+/CMD+ (N = 665), SMI+/CMD− (N = 964), SMI−/CMD+ (N = 3,765), SMI−/CMD− (N = 8,083). SMI (F = 40.47, p = 2.06 × 10−10) and CMD (F = 24.69, p = 6.82 × 10−7) significantly, independently impacted whole‐brain QRI in SMI+. SSD had the largest effect (Cohen’s d = 1.42) then BD (d = 0.55), and MDD (d = 0.15). Hypertension had a significant effect on SMI+ (d = 0.19) and SMI− (d = 0.14). SMI effects were direct, independent of MD, and remained significant after correcting for effects of antipsychotic medications. Whole‐brain QRI was significantly (p < 10−16) associated with the volume of white matter hyperintensities (WMH). However, WMH did not show significant association with SMI and was driven by CMD, chiefly hypertension (p < 10−16). We used a simple and robust index, QRI, the demonstrate additive effect of SMI and CMD on accelerated brain aging. We showed a greater effect of psychiatric illnesses on QRI compared to cardio‐metabolic illness. Our findings suggest that subjects with SMI should be among the targets for interventions to protect against age‐related cognitive decline.
Collapse
Affiliation(s)
- Meghann C Ryan
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - L Elliot Hong
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Kathryn S Hatch
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Si Gao
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Shuo Chen
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA.,Division of Biostatistics and Bioinformatics, Department of Public Health and Epidemiology, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Krystl Haerian
- Department of Clinical Research and Leadership, School of Medicine and Health Sciences, George Washington University, Washington, District of Columbia, USA
| | - Jingtao Wang
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA.,Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Eric L Goldwaser
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Xiaoming Du
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Bhim M Adhikari
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Heather Bruce
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Stephanie Hare
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Mark D Kvarta
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Neda Jahanshad
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, Los Angeles, California, USA
| | - Thomas E Nichols
- Nuffield Department of Population Health of the University of Oxford, Oxford, UK
| | - Paul M Thompson
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, Los Angeles, California, USA
| | - Peter Kochunov
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| |
Collapse
|
16
|
Zhang Q, Zhang M, Chen Y, Cao Y, Dong G. Nonlinear Relationship of Non-High-Density Lipoprotein Cholesterol and Cognitive Function in American Elders: A Cross-Sectional NHANES Study (2011-2014). J Alzheimers Dis 2022; 86:125-134. [PMID: 35001890 DOI: 10.3233/jad-215250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Serum non-high-density lipoprotein-cholesterol (non-HDL-C) levels may be associated with cognitive function. OBJECTIVE The objective of this study was to evaluate the association between non-HDL-C and cognitive function among American elders. METHODS We used data from the 2011 to 2014 U.S. National Health and Nutrition Examination Survey (NHANES). A total of 3,001 participants aged over 60 years were enrolled in our analysis. The cognitive function was evaluated with the word learning subtest from the Consortium to Establish a Registry for Alzheimer's disease (CERAD W-L), the Animal Fluency Test (AFT), and the digit symbol substitution test (DSST). We also created a composite cognitive z-score to represent a global cognition. We applied multivariate linear regression analyses to estimate the associations between non-HDL-C levels and all domains of cognitive function. Further, the generalized additive model and the smooth curve were conducted to investigate the dose-response relationship between non-HDL-C and global cognition. RESULTS Serum non-HDL-C was positively associated with global cognition (β= 0.20, 95% CI: 0.11, 0.28), AFT score (β= 0.54, 95% CI: 0.33, 0.76), and DSST score (β= 1.13, 95% CI: 0.56, 1.69) after fully adjusted. While non-HDL-C was not related to CERAD W-L score. In addition, an inverted U-shape curve was observed in the dose-response relationship between non-HDL-C and global cognition (p for non-linearity < 0.001). CONCLUSION Serum non-HDL-C is positively and nonlinearly associated with cognitive function among American older adults. Maintaining serum cholesterol levels at an appropriate range may be helpful to the cognitive health of the elderly.
Collapse
Affiliation(s)
- Qiaoyang Zhang
- Department of Psychology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu Province, China
| | - Min Zhang
- Department of Neurology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu Province, China
| | - Yun Chen
- Department of Neurology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu Province, China
| | - Yin Cao
- Department of Psychology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu Province, China
| | - Guanzhong Dong
- Department of Neurology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu Province, China
| |
Collapse
|
17
|
Lin Y, Peng X, Lin X, Deng X, Liu F, Tao H, Dong R, Wang B, Bi Y. Potential Value of Serum Lipid in the Identication of Postoperative Delirium Undergoing Knee/Hip Arthroplasty: The Perioperative Neurocognitive Disorder and Biomarker Lifestyle Study. Front Psychiatry 2022; 13:870317. [PMID: 35492710 PMCID: PMC9039337 DOI: 10.3389/fpsyt.2022.870317] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Accepted: 03/18/2022] [Indexed: 12/19/2022] Open
Abstract
OBJECTIVE We aimed to investigate the relationship between preoperative lipid level and postoperative delirium (POD) and explore whether lipid's effect on POD is mediated by POD core protein. METHODS A total of 635 patients who were planned to undergo knee/hip arthroplasty under combined spinal-epidural anesthesia, regardless of gender, were selected. The patients were aged 40-90 years with American Society of Anesthesiologists physical status I II. The Mini-Mental State Examination (MMSE) was completed 1 day before the operation. Five milliliter elbow venous blood was taken from the patients before anesthesia, and serum levels of total cholesterol (TG), triglyceride (TC), low-density lipoprotein (LDL-C), and high-density lipoprotein (HDL-C) were detected. Cerebrospinal fluid (CSF) was extracted after successful spinal-epidural combined puncture, and amyloid beta40 (Aβ40), amyloid beta42 (Aβ42), total Tau (t-Tau), and phosphorylated Tau (p-Tau) in the CSF were measured by enzyme-linked immunosorbent assays (ELISA). After the operation, the occurrence and severity of POD were assessed using the Confusion Assessment Method and the Memorial Delirium Assessment Scale (MDAS), respectively. Patients were categorized into POD group and NPOD group. Logistic regression was used to analyze the relationship between POD and TC, TG, LDL-C, and HDL-C, and the mediating effect was used to analyze the role of POD core proteins in the relationship between lipid and MDAS. We used the receiver operating characteristic (ROC) and the precision-recall curve (PRC) analysis to assess the ability of TC, TG, LDL-C, and HDL-C ability to predict POD. Finally, we performed a sensitivity analysis to assess the stability of the results. RESULTS A total of 562 patients were finally enrolled in this study, and 66 patients developed POD, with an incidence of 11.7%. Logistic regression analysis showed that high concentration of TC (OR = 3.148, 95%CI 1.858∼5.333, P < 0.001), TG (OR = 2.483, 95%CI 1.573∼3.918, P < 0.001), and LDL-C (OR = 2.469, 95%CI 1.310∼4.656, P = 0.005) in serum were risk factors for POD. A high concentration of HDL-C (OR = 0.258, 95%CI 0.112∼0.594, P = 0.001) was a protective factor for POD after adjusted for age, sex, education, and MMSE score. ROC curves showed that HDL-C have the highest sensitivity and specificity in predicting POD. For these four lipid markers, the PRC range from 0.602 to 0.731, respectively. The mediating analysis showed that POD core proteins could partially mediate the relationship between lipid and POD (effect value: 16.19∼91.04%). The results were barely changed in the sensitivity analysis, and the sensitivity analysis has shown that the results were stable. CONCLUSION The increase of serum TG, TC, and LDL-C concentration is a risk factor for POD development, while high HDL-C concentration is a protective factor for POD, and the occurrence of POD is caused by hyperlipidemia may be caused by POD core proteins. CLINICAL TRIAL REGISTRATION [www.ClinicalTrials.gov], identifier [Chictr200033439].
Collapse
Affiliation(s)
- Yanan Lin
- Department of Anesthesiology, Qingdao Municipal Hospital Affiliated to Qingdao University, Qingdao, China
| | - Xiaoyan Peng
- Department of Anesthesiology, Qingdao Municipal Hospital Affiliated to Qingdao University, Qingdao, China
| | - Xu Lin
- Department of Anesthesiology, Qingdao Municipal Hospital Affiliated to Qingdao University, Qingdao, China
| | - Xiyuan Deng
- Department of Anesthesiology, Dalian Medical University, Dalian, China
| | - Fanghao Liu
- Department of Anesthesiology, Qingdao Municipal Hospital Affiliated to Qingdao University, Qingdao, China
| | - He Tao
- Department of Anesthesiology, Dalian Medical University, Dalian, China
| | - Rui Dong
- Department of Anesthesiology, Drum Tower Hospital Affiliated to Nanjing University Medical School, Nanjing, China
| | - Bin Wang
- Department of Anesthesiology, Qingdao Municipal Hospital Affiliated to Qingdao University, Qingdao, China
| | - Yanlin Bi
- Department of Anesthesiology, Qingdao Municipal Hospital Affiliated to Qingdao University, Qingdao, China
| |
Collapse
|
18
|
Liu H, Huang Z, Zhang X, He Y, Gu S, Mo D, Wang S, Yuan Z, Huang Y, Zhong Q, Zhou R, Wu K, Zou F, Wu X. Association between lipid metabolism and cognitive function in patients with schizophrenia. Front Psychiatry 2022; 13:1013698. [PMID: 36506447 PMCID: PMC9729695 DOI: 10.3389/fpsyt.2022.1013698] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Accepted: 11/03/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND The association between blood lipids and cognitive function in schizophrenia is still controversial. Thus, the present study aimed to verify the association between various lipid parameters and cognitive impairment in schizophrenic patients and potential lipid pathways. METHODS A total of 447 adult inpatients with schizophrenia were divided into cognitive normal and cognitive impairment groups based on the Mini-Mental State Examination with a cut-off of 26. The blood lipid parameters were defined as abnormal levels based on the guideline. The liquid chromatography-mass spectrometry method was used to preliminarily explore the potential lipid metabolism pathway associated with cognitive impairment. RESULTS There were 368 (82.3%) patients who had cognitive impairment. Herein, apolipoprotein B was positively associated with cognitive function in overall patients and age (≥45 and <45 years) and sex subgroups. After excluding patients with hypertension and diabetes, ApoB was still significantly associated with cognitive function in all the patients. The associations between other lipid parameters, including non-high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol and triglyceride, and cognitive impairment were heterogeneous in age and sex subgroups. In contrast, total cholesterol and apolipoprotein A1 were not significantly associated with cognitive impairment. Metabolomics analysis showed that metabolic pathway mainly involved sphingolipid metabolism. Meanwhile, sphinganine and 3-dehydrosphinganine were positively correlated with lipid parameters and decreased in patients with cognitive impairment as compared to those with normal cognition. CONCLUSIONS The present study suggests a positive association between lipids and cognitive function in schizophrenic patients and needs to be further verified by a prospective study.
Collapse
Affiliation(s)
- Huamin Liu
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Zhiwei Huang
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | | | - Yong He
- Baiyun Jingkang Hospital, Guangzhou, China
| | | | - Dan Mo
- Baiyun Jingkang Hospital, Guangzhou, China
| | | | - Zelin Yuan
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Yining Huang
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Qi Zhong
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Rui Zhou
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Keyi Wu
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Fei Zou
- Department of Occupational Health and Medicine, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Xianbo Wu
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| |
Collapse
|
19
|
Eden Friedman Y, Steinberg DM, Canetti M, Cohen I, Segev S, Salomon O. An impact of lipid profile and lipid lowering drugs on ≥70 year olds of an upper socioeconomic class: a retrospective cohort study. Lipids Health Dis 2021; 20:120. [PMID: 34587967 PMCID: PMC8480056 DOI: 10.1186/s12944-021-01529-2] [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: 07/28/2021] [Accepted: 08/23/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Life expectancy has greatly increased, generating an improvement in screening programs for disease prevention, lifesaving drugs and medical devices. The impact of lowering low-density lipoprotein cholesterol (LDL-C) in the very elderly is not well-established. Our aim was to explore the association of LDL-C, high density lipoprotein cholesterol (HDL-C) and lipid lowering drugs (LLDs) on cognitive decline, malignancies and overall survival. METHODS This was a retrospective cohort study. Our study comprised 1498 (72.7%) males and 561 (27.3%) females, aged ≥70 who had attended the Institute for Medical Screening (IMS), Sheba Medical Center, Israel at least twice during 2013-2019. Data were obtained from the computerized database of the IMS. A manual quality control to identify potential discrepancies was performed. RESULTS Overall, 6.3% of the subjects treated with LLDs (95/1421) versus 4.2% not treated (28/638), cognitively declined during the study years. No statistically significant effects of LDL-C, HDL-C and LLDs on cognitive decline were observed after correcting for age, prior stroke and other vascular risk factors. With regard to cancer, after adjusting for confounders and multiple inferences, no definite relationships were found. CONCLUSIONS This analysis of an elderly, high socioeconomic status cohort suggests several relationships between the use of LLDs and health outcomes, some beneficial, especially, with regard to certain types of cancer, but with a higher risk of cognitive decline. Further studies are warranted to clarify the health effects of these medications in the elderly.
Collapse
Affiliation(s)
- Yehudit Eden Friedman
- Internal Medicine Department E, Sheba Medical Center, Tel Hashomer, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - David M Steinberg
- Department of Statistics and Operations Research, Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Michal Canetti
- Internal Medicine Department E, Sheba Medical Center, Tel Hashomer, Israel
| | - Ido Cohen
- Internal Medicine Department E, Sheba Medical Center, Tel Hashomer, Israel
| | - Shlomo Segev
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Institute of Medical Screening, Sheba Medical Center, Tel Hashomer, Israel
| | - Ophira Salomon
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel. .,Thrombosis Unit, Sheba Medical Center, Tel Hashomer, Israel.
| |
Collapse
|
20
|
Zhang H, Zhu W, Niu T, Wang Z, An K, Cao W, Shi J, Wang S. Inverted U-shaped correlation between serum low-density lipoprotein cholesterol levels and cognitive functions of patients with type 2 diabetes mellitus. Lipids Health Dis 2021; 20:103. [PMID: 34511118 PMCID: PMC8436464 DOI: 10.1186/s12944-021-01534-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Accepted: 08/30/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Low-density lipoprotein cholesterol (LDL-C) metabolic disorder is common in individuals with diabetes. The role of LDL-C in mild cognitive impairment (MCI) remains to be explored. We aim to investigate the associations between LDL-C at different levels and details of cognition decline in patients with type 2 diabetes mellitus (T2DM). METHODS Patients with T2DM (n = 497) were recruited. Clinical parameters and neuropsychological tests were compared between patients with MCI and controls. Goodness of fit was assessed to determine the linear or U-shaped relationship between LDL-C and cognitive function. The cut-off point of LDL-C was calculated. Correlation and regression were carried out to explore the relationship between cognitive dysfunction and LDL-C levels above and below the cut-off point. RESULTS Although no significant difference in LDL-C levels was detected in 235 patients with MCI, compared with 262 patients without MCI, inverted-U-shaped association was determined between LDL-C and Montreal Cognitive Assessment (MoCA). The cut-off point of LDL-C is 2.686 mmol/l. LDL-C (>2.686 mmol/l) is positively related to Trail Making Test B (TMTB) indicating executive function. LDL-C (<2.686 mmol/l) is positively associated with Clock Drawing Test (CDT) reflecting visual space function in patients with T2DM. CONCLUSION Inverted U-shaped correlation was found between serum LDL-C and cognitive function in patients with T2DM. Despite that the mechanisms of different LDL-C levels involved in special cognitive dysfunctions remain incompletely clarified, excessive LDL-C damages executive function, while the deficient LDL-C impairs visual space function. TRIAL REGISTRATION ChiCTR-OCC-15006060 .
Collapse
Affiliation(s)
- Haoqiang Zhang
- Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, No.87 Dingjiaqiao Road, Nanjing, 210009, PR China.,School of Medicine, Southeast University, Nanjing, 210009, PR China
| | - Wenwen Zhu
- Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, No.87 Dingjiaqiao Road, Nanjing, 210009, PR China.,School of Medicine, Southeast University, Nanjing, 210009, PR China
| | - Tong Niu
- Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, No.87 Dingjiaqiao Road, Nanjing, 210009, PR China.,School of Medicine, Southeast University, Nanjing, 210009, PR China
| | - Zheng Wang
- Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, No.87 Dingjiaqiao Road, Nanjing, 210009, PR China.,School of Medicine, Southeast University, Nanjing, 210009, PR China
| | - Ke An
- Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, No.87 Dingjiaqiao Road, Nanjing, 210009, PR China.,School of Medicine, Southeast University, Nanjing, 210009, PR China
| | - Wuyou Cao
- Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, No.87 Dingjiaqiao Road, Nanjing, 210009, PR China.,School of Medicine, Southeast University, Nanjing, 210009, PR China
| | - Jijing Shi
- Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, No.87 Dingjiaqiao Road, Nanjing, 210009, PR China.,School of Medicine, Southeast University, Nanjing, 210009, PR China
| | - Shaohua Wang
- Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, No.87 Dingjiaqiao Road, Nanjing, 210009, PR China. .,School of Medicine, Southeast University, Nanjing, 210009, PR China.
| |
Collapse
|
21
|
Dong Y, Ding M, Cui M, Fang M, Gong L, Xu Z, Zhang Y, Wang X, Xu X, Liu X, Li G, Zhao Y, Dong Q. Development and validation of a clinical model (DREAM-LDL) for post-stroke cognitive impairment at 6 months. Aging (Albany NY) 2021; 13:21628-21641. [PMID: 34506303 PMCID: PMC8457606 DOI: 10.18632/aging.203507] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Accepted: 08/17/2021] [Indexed: 01/31/2023]
Abstract
Introduction: This multicenter, retrospective study assessed the prevalence of post-stroke cognitive impairment (PSCI) 6 months after acute ischemic stroke (AIS) and its risk factors to build a bedside early predictive model for PSCI using the Montreal Cognitive Assessment (MoCA). Methods: Records of consecutive patients with AIS treated at 4 stroke centers in Shanghai had MoCA assessments within 2 weeks after AIS onset and 6 months later were reviewed. Prevalence of PSCI (MoCA<22) was calculated and risk factors were identified by multivariate logistic regression analysis. The modeling and validation and identified risk factors were included in a predictive model using multivariate regression. Results: There were 383 patients included and prevalence of PSCI 6 months after AIS was 34.2%, significantly lower than prevalence of patients with acute cognitive impairment (49.6%). Aging, less education, higher glucose level and severe stroke were PSCI risk factors, while level of low-density lipoprotein cholesterol (LDL-C) had a paradox effect on the risk of PSCI. 40.0% of the patients with cognitive impairment at acute phase reverted to normal, and patients with LDL-C 1.8-2.5 mmol/L were more likely to revert. The predictive model we built, DREAM-LDL (Diabetes [fasting blood glucose level], Rating [NIHSS], level of Education, Age, baseline MoCA and LDL-C level), had an AUROC of 0.93 for predicting PSCI at 6 months. Conclusion: PSCI was common among AIS patients 6 months after AIS. We provided a practical tool to predict PSCI based on MoCA and risk factors present during acute phase of AIS.
Collapse
Affiliation(s)
- Yi Dong
- Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Mengyuan Ding
- Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Mei Cui
- Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Min Fang
- Department of Neurology, The Tenth People's Hospital Affiliated to Tongji University, Shanghai, China
| | - Li Gong
- Department of Neurology, The Tenth People's Hospital Affiliated to Tongji University, Shanghai, China
| | - Zhuojun Xu
- Department of Neurology, The East Hospital Affiliated to Tongji University, Shanghai, China
| | - Yue Zhang
- Department of Neurology, The East Hospital Affiliated to Tongji University, Shanghai, China
| | - Xiuzhe Wang
- Department of Neurology, The Six People's Hospital Affiliated to Shanghai Jiao Tong University, Shanghai, China
| | - Xiaofeng Xu
- Department of Neurology, The Six People's Hospital Affiliated to Shanghai Jiao Tong University, Shanghai, China
| | - Xueyuan Liu
- Department of Neurology, The Tenth People's Hospital Affiliated to Tongji University, Shanghai, China
| | - Gang Li
- Department of Neurology, The East Hospital Affiliated to Tongji University, Shanghai, China
| | - Yuwu Zhao
- Department of Neurology, The Six People's Hospital Affiliated to Shanghai Jiao Tong University, Shanghai, China
| | - Qiang Dong
- Department of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| |
Collapse
|
22
|
Tuo J, He W, Yang S, Liu L, Liu X, Liu H, Wang Y, Tang T, Xia J, Liao W, Liu Y, Huang Q. Disrupted Topological Organization of Functional Networks in Asymptomatic Carotid Plaque Without Significant Carotid Stenosis: A Resting-State fMRI Study. Front Hum Neurosci 2021; 15:685763. [PMID: 34421560 PMCID: PMC8375554 DOI: 10.3389/fnhum.2021.685763] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 07/05/2021] [Indexed: 11/16/2022] Open
Abstract
Purpose: Previous studies have found that there are significant changes in functional network properties for patients with moderate to severe carotid artery stenosis. Our study aimed to explore the topology properties of brain functional network in asymptomatic patients with carotid plaque without significant stenosis. Methods: A total of 61 asymptomatic patients with carotid plaque (mean age 61.79 ± 7.35 years) and 25 healthy control subjects (HC; 58.12 ± 6.79 years) were recruited. General data collection, carotid ultrasound examination and resting state functional magnetic resonance imaging were performed on all subjects. Graph-theory was applied to examine the differences in the brain functional network topological properties between two groups. Results: In the plaque group, Eloc(P = 0.03), γ (P = 0.01), and σ (P = 0.01) were significantly higher than in the HC group. The degree centrality of left middle frontal gyrus and the nodal efficiency of left middle frontal gyrus and right inferior parietal angular gyrus were significantly higher in the plaque group than in HC. The degree centrality and betweenness centrality of right middle temporal gyrus, as well as the nodal efficiency of right middle temporal gyrus, were significantly lower in the plaque group than in HC. Conclusions: The brain functional networks of patients with carotid plaques differ from those of healthy controls. Asymptomatic patients with carotid plaques exhibit increased local and global connectivity, which may reflect subtle reorganizations in response to early brain damage.
Collapse
Affiliation(s)
- Jia Tuo
- Department of Neurology, Chenzhou No.1 People's Hospital, Chenzhou, China.,Hunan Clinical Research Center for Cerebrovascular Disease, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Wei He
- Hunan Clinical Research Center for Cerebrovascular Disease, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Department of Emergency, Xiangya Hospital, Central South University, Changsha, China
| | - Shuai Yang
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Department of Radiology, Xiangya Hospital, Central South University, Changsha, China
| | - Lihui Liu
- Hunan Clinical Research Center for Cerebrovascular Disease, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Xiaojuan Liu
- Hunan Clinical Research Center for Cerebrovascular Disease, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Hui Liu
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Department of Radiology, Xiangya Hospital, Central South University, Changsha, China
| | - Yang Wang
- Hunan Clinical Research Center for Cerebrovascular Disease, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Department of Integrated Traditional and Western, Xiangya Hospital, Central South University, Changsha, China
| | - Tao Tang
- Hunan Clinical Research Center for Cerebrovascular Disease, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Department of Integrated Traditional and Western, Xiangya Hospital, Central South University, Changsha, China
| | - Jian Xia
- Hunan Clinical Research Center for Cerebrovascular Disease, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Weihua Liao
- Hunan Clinical Research Center for Cerebrovascular Disease, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Department of Radiology, Xiangya Hospital, Central South University, Changsha, China
| | - Yunhai Liu
- Hunan Clinical Research Center for Cerebrovascular Disease, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Qing Huang
- Hunan Clinical Research Center for Cerebrovascular Disease, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| |
Collapse
|
23
|
Gong Q, Xie L, Bi M, Yu L. A probability formula derived from serum indicators, age, and comorbidities as an early predictor of dementia in elderly Chinese people. Brain Behav 2021; 11:e2236. [PMID: 34173349 PMCID: PMC8413781 DOI: 10.1002/brb3.2236] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 04/23/2021] [Accepted: 05/23/2021] [Indexed: 12/11/2022] Open
Abstract
INTRODUCTION Blood-based indicators are potentially economical and a safe method for screening a population for dementia, although their predictive values have not been unequivocally confirmed. The present study proposes a dementia prediction formula based on serum indicators and patient characteristics. METHODS From January 2016 to December 2018, the data of elderly patients older than 60 years admitted to the Department of Neurology and Geriatrics in our hospital were retrospectively reviewed. A multivariate logistic regression model was applied to verify the patients' characteristics and serum indicators associated with the risk of dementia. After receiver-operating characteristic (ROC) curve and area under the ROC curve (AUC) analyses, we propose a dementia prediction formula and cutoff values for the predictive ability of early dementia. RESULTS Four thousand seven hundred twenty two elderly patients were enrolled, and the incidence of dementia was 12.0% (565). When patients had ≥8 comorbidities, their risk of developing dementia was 20 times higher than those without comorbidities. After multivariate regression analysis, age (OR: 1.086, p < .001) and homocysteine (HCY) concentrations (OR: 1.017, p = .003) were proven to be linked to the risk of developing dementia, while total cholesterol (TC) (OR: 0.674, p = .005) was a protective factor for dementia. We developed a formula of age + low-density lipoprotein cholesterol (LDL-C) + TC + HCY + number of comorbidities as a good predictor of dementia (AUC: 0.79), with a probability (cutoff) value of 0.112 (sensitivity 87.4%, specificity 55.8%, and accuracy 60.5%). CONCLUSIONS High-serum HCY and low TC were risk factors for developing dementia. A cutoff value > 0.112 derived from our formula was an excellent predictor for people at a high risk of developing dementia, and may be a potentially useful diagnostic tool for identifying patients at risk for dementia in routine clinical practice.
Collapse
Affiliation(s)
- Qing Gong
- Department of Geriatrics, Shanghai Xuhui Central Hospital, Shanghai, China
| | - Lianhong Xie
- Department of Geriatrics, Shanghai Xuhui Central Hospital, Shanghai, China
| | - Minghui Bi
- Department of Geriatrics, Shanghai Xuhui Central Hospital, Shanghai, China
| | - Lina Yu
- Department of Geriatrics, Shanghai Xuhui Central Hospital, Shanghai, China
| |
Collapse
|
24
|
Liu H, Zou L, Zhou R, Zhang M, Gu S, Zheng J, Hukportie DN, Wu K, Huang Z, Yuan Z, Wu X. Long-Term Increase in Cholesterol Is Associated With Better Cognitive Function: Evidence From a Longitudinal Study. Front Aging Neurosci 2021; 13:691423. [PMID: 34220488 PMCID: PMC8248815 DOI: 10.3389/fnagi.2021.691423] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 05/18/2021] [Indexed: 12/16/2022] Open
Abstract
Background: Higher visit-to-visit cholesterol has been associated with cognitive decline. However, the association between long-term increase or decrease in cholesterol and cognitive decline remains unclear. Methods: A total of 4,915 participants aged ≥45 years with normal cognition in baseline were included. The participants were divided into four groups, namely low-low, low-high, high-low, and high-high, according to the diagnostic thresholds of total cholesterol (TC), non-high-density lipoprotein cholesterol (NHDL-C), low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol (HDL-C) after 4 years of follow-up. Cognitive function was assessed by episodic memory and mental intactness. Binary logistic regression was used to analyse the association of cholesterol variation with cognitive decline. Results: Among the participants, 979 (19.9%) experienced global cognitive decline. The odds ratio (OR) of global cognitive and memory function decline were remarkably lower in participants in the low-high NHDL-C group than those in the low-low group [OR and 95% confidence interval (CI): 0.50 [0.26-0.95] for global cognitive decline, 0.45 [0.25-0.82] for memory function decline]. The lower OR was also significant in females (OR [95% CI]: 0.38 [0.17-0.87] for global cognitive decline; 0.44 [0.19-0.97] for memory function decline) and participants without cardiovascular disease (OR [95% CI]: 0.31 [0.11-0.87] for global cognitive decline; 0.34 [0.14-0.83] for memory function decline). The increases in other cholesterol were also negatively associated with the risk of cognitive decline although not significantly. Conclusions: A longitudinal increase in NHDL-C may be protective for cognition in females or individuals without cardiovascular disease.
Collapse
Affiliation(s)
- Huamin Liu
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Lianwu Zou
- Department of Psychiatry, Baiyun Psychiatric Rehabilitation Hospital, Guangzhou, China
| | - Rui Zhou
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Minyi Zhang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Shanyuan Gu
- Inpatient Department, Baiyun Psychiatric Rehabilitation Hospital, Guangzhou, China
| | - Jiazhen Zheng
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Daniel Nyarko Hukportie
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Keyi Wu
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Zhiwei Huang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Zelin Yuan
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Xianbo Wu
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
| |
Collapse
|
25
|
Wu SE, Chen WL. Longitudinal trajectories of metabolic syndrome on different neurocognitive domains: a cohort study from the Taiwan biobank. Aging (Albany NY) 2021; 13:15400-15412. [PMID: 34114969 PMCID: PMC8221342 DOI: 10.18632/aging.203099] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 05/18/2021] [Indexed: 12/28/2022]
Abstract
Metabolic syndrome (MetS) brings considerable effects on cognitive function, but trajectories within remain unclear. We investigated the interactions between distinct MetS components and cognitive domains. A total of 5693 participants from the Taiwan biobank during 2008–2018 were enrolled. Participants were classified as either normal or as having MetS at two time points; i.e., study entry and follow-up. At both the time points, cognitive evaluations using the Mini-Mental State Examination (MMSE) were conducted. The hazard ratios (HRs) of mild cognitive impairment (MCI) and dementia were higher in participants meeting more diagnostic components of MetS. Of the five criteria of MetS, three were significantly associated with MCI and dementia: high blood pressure (MCI: HR = 1.203, p < 0.001; dementia: HR = 1.345, p < 0.001), abdominal obesity (MCI: HR = 1.137, p = 0.006; dementia: HR = 1.442, p < 0.001), and low high-density lipoprotein (HDL) level (MCI: HR = 1.149, p = 0.007; dementia: HR = 1.364, p < 0.001). Of the cognitive domains measured, three were significantly associated with MetS; namely, orientation, language, and visuospatial abilities. Participants who were initially diagnosed with MetS but were normal at follow-up had an HR of 1.374 for dementia (p = 0.019), which was beyond our expectations. The undiminished risk of cognitive decline in subjects returning to normal status illustrated that neural injury caused by MetS takes a long time to get repaired. Consequently, earlier detection and management of adjustable risk factors of MetS should be encouraged to minimize the damage.
Collapse
Affiliation(s)
- Shou-En Wu
- Division of Family Medicine, Department of Family and Community Medicine, Tri-Service General Hospital, School of Medicine, National Defense Medical Center, Taipei, Taiwan, Republic of China.,Division of Geriatric Medicine, Department of Family and Community Medicine, Tri-Service General Hospital, School of Medicine, National Defense Medical Center, Taipei, Taiwan, Republic of China
| | - Wei-Liang Chen
- Division of Family Medicine, Department of Family and Community Medicine, Tri-Service General Hospital, School of Medicine, National Defense Medical Center, Taipei, Taiwan, Republic of China.,Division of Geriatric Medicine, Department of Family and Community Medicine, Tri-Service General Hospital, School of Medicine, National Defense Medical Center, Taipei, Taiwan, Republic of China.,Department of Biochemistry, National Defense Medical Center, Taiwan, Republic of China
| |
Collapse
|
26
|
Shabani M, Rezaei A, Badehnoosh B, Qorbani M, Yaseri M, Ramezani R, Emaminia F. The effects of Elaeagnus angustifolia L. on lipid and glycaemic profiles and cardiovascular function in menopausal women: A double-blind, randomized, placebo-controlled study. Int J Clin Pract 2021; 75:e13812. [PMID: 33145864 DOI: 10.1111/ijcp.13812] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2020] [Accepted: 10/21/2020] [Indexed: 12/11/2022] Open
Abstract
AIMS The reduced production of ovarian hormones is considered to be the cause of an increase in the incidence of heart disease in women after menopause. Phytoestrogens are found in various herbal sources and are considered as an alternative to hormone therapy because of structural similarity with oestrogen. Elaeagnus angustifolia L., known as Senjed in Persian, is used in Iranian traditional medicine with various medicinal properties, contains valuable compounds, including two types of phytoestrogens. The aim of the present study was to investigate the efficacy of E. angustifolia fruit on the cardiovascular function, lipid and glycaemic profiles in postmenopausal women. METHODS In this double-blind placebo-controlled clinical trial, 58 postmenopausal women were randomly assigned into two experimental groups of medicinal herb (15 g/day of the whole E. angustifolia fruit powder) and placebo (15 g/day of isomalt + corn starch). Before the trial and after 10 weeks of the treatment, cardiovascular function (heart rate, blood pressure), serum glycaemic profile (fasting blood glucose; glycated haemoglobin, HbA1C), insulin and lipid profile (total cholesterol, TC; triglyceride, TG; LDL-C and HDL-C) were measured. RESULTS Heart rate, and serum level of LDL-C and HDL-C significantly decreased after treatment with E. angustifolia. Changes in glycaemic profile were not clinically significant. In addition, some studied biochemical parameters significantly changed in the placebo group. CONCLUSIONS E. angustifolia was somewhat effective in improving cardiovascular function and lipid profile, as well as the overall health of postmenopausal women. However, the use of isomalt and corn starch in menopausal women needs further investigation.
Collapse
Affiliation(s)
| | - Arezou Rezaei
- School of Biology, Damghan University, Damghan, Iran
- Institute of Biological Sciences, Damghan University, Damghan, Iran
| | - Bita Badehnoosh
- Department of Gynecology and Obstetrics, Faculty of Medical Science, Alborz University of Medical Science, Karaj, Iran
- Dietary Supplement and Probiotic Research Center, Alborz University of Medical Science, Karaj, Iran
| | - Mostafa Qorbani
- Non-Communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran
- Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Endocrinology and Metabolism Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mehdi Yaseri
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Rohollah Ramezani
- Department of Statistic, Faculty of Mathematics and Computer Science, Damghan University, Damghan, Iran
| | | |
Collapse
|
27
|
Wang S, Jia W, Yang S, Han K, Cao W, Ren X, Li J, Tai P, Kou F, Liu M, He Y. The Role of BMI and Blood Pressure in the Relationship Between Total Cholesterol and Disability in Chinese Centenarians: A Cross-Sectional Study. Front Med (Lausanne) 2021; 8:608941. [PMID: 33665198 PMCID: PMC7921456 DOI: 10.3389/fmed.2021.608941] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Accepted: 01/26/2021] [Indexed: 12/26/2022] Open
Abstract
Background: Lower serum lipid metabolism might be associated with the decline of activity of daily living in the extreme longevity group. However, studies on models and possible paths of this correlation between total cholesterol (TC) and disability in centenarians are scarce. The aim of this study was to verify this correlation and explore the mediating effect of BMI and blood pressure on this relationship in Hainan centenarians. Methods: We conducted a cross-sectional analysis of 1002 centenarians from the China Hainan Centenarians Cohort Study (CHCCS). Data on demographics, anthropometry data, lifestyle, and TC levels were collected through interviews, physical examinations, and laboratory tests. The Barthel index and Lawton index, measuring the disability status, were used to estimate the activity of daily living (ADL) and instrumental activity of daily living (IADL). A multivariable logistic regression model was used to explore the correlation between disability and TC levels. Mediation analyses were used to explore the both direct and indirect effects of TC level on disability. Results: After adjusting for covariates, with 1 mmol/L increment in TC, the adjusted odds ratios (ORs) of ADL severe disability and ADL moderate & severe disability were 0.789(95%CI: 0.650–0.959) and 0.822(95%CI: 0. 0.699–0.966), respectively. There was a significant declining trend in the prevalence of different types of disability with increment in TC. The correlation was more pronounced among Hainan female centenarians. In the analysis of mediating effect among the female population, BMI significantly mediated the effect of TC levels on different types of disability. BMI and SBP, as chain mediators, multiply and chain mediated the effect of TC levels on IADL. Conclusion: Low TC levels might be correlated with a higher frequency of disability in female centenarians, and this correlation might be mediated by BMI and blood pressure.
Collapse
Affiliation(s)
- Shengshu Wang
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Wangping Jia
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Shanshan Yang
- Department of Disease Prevention and Control, The 1st Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Ke Han
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Wenzhe Cao
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Xueling Ren
- Department of Respiratory, The 2nd Medical Center, Chinese People's Liberation Army General Hospital, Beijing, China
| | - Jing Li
- Medical Service Department, The 5th Medical Center, Chinese People's Liberation Army General Hospital, Beijing, China
| | - Penggang Tai
- Medical Service Department, Chinese People's Liberation Army General Hospital, Beijing, China
| | - Fuyin Kou
- Medical Service Department, Chinese People's Liberation Army General Hospital, Beijing, China
| | - Miao Liu
- Department of Statistics and Epidemiology, Graduate School of Chinese PLA General Hospital, Beijing, China
| | - Yao He
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center of Chinese PLA General Hospital, Beijing, China.,State Key Laboratory of Kidney Diseases, Chinese People's Liberation Army General Hospital, Beijing, China
| |
Collapse
|
28
|
Han KT, Kim SJ. Are serum cholesterol levels associated with cognitive impairment and depression in elderly individuals without dementia?: A retrospective cohort study in South Korea. Int J Geriatr Psychiatry 2021; 36:163-173. [PMID: 32830355 DOI: 10.1002/gps.5410] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Revised: 08/10/2020] [Accepted: 08/14/2020] [Indexed: 12/27/2022]
Abstract
OBJECTIVES As aging progresses, older adults experience several health changes, including changes in cholesterol levels, which increases their risk for other diseases. Older adults are particularly vulnerable to cognitive impairment and depression, which may be due to several factors. The aim of this study was to evaluate the association between serum cholesterol level and cognitive impairment and depression in older adults. METHODS This study used senior cohort data from the National Health Insurance Service of South Korea. A total of 128 371 participants contributed repeated measures to this dataset. Cognitive impairment was measured via a self-reported questionnaire and depression was measured using claim data. Generalized estimating equations were used to identify associations between serum cholesterol level and cognitive impairment and depression, including subgroup analyses by sex. RESULTS There was no significant association between low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), or triglycerides (TG) with cognitive impairment. Low high-density lipoprotein cholesterol (HDL-C) was significantly associated with a higher risk of cognitive impairment, whereas high HDL-C was associated with lower cognitive impairment. Higher LDL-C was significantly associated with lower depression. Higher TC also was significantly associated with depression. CONCLUSION HDL-C is associated with depressive symptoms, and may be a key factor in predicting psychiatric symptoms or cognitive decline. Our study suggest that routine health screenings may aid in the early detection of high-risk individuals.
Collapse
Affiliation(s)
- Kyu-Tae Han
- Division of Cancer Management Policy, National Cancer Center, Goyang, Republic of Korea
| | - Seung Ju Kim
- Department of Nursing, College of Nursing, Eulji University, Seongnam, Republic of Korea
| |
Collapse
|
29
|
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.
Collapse
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
| |
Collapse
|
30
|
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: 4] [Impact Index Per Article: 1.0] [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.
Collapse
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.
| |
Collapse
|
31
|
Effect of Combined Antihypertensive and Lipid-Lowering Therapies on Cognitive Function: A New Treatment Strategy? Cardiol Res Pract 2020; 2020:1484357. [PMID: 32351732 PMCID: PMC7178519 DOI: 10.1155/2020/1484357] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 03/03/2020] [Accepted: 03/19/2020] [Indexed: 01/06/2023] Open
Abstract
Risk factors for cardiovascular disease such as hypertension and hyperlipidemia are associated with cognitive decline. However, there is still no clear evidence that the use of antihypertensive or lipid-lowering therapy can prevent or delay cognitive decline or development of dementia. To provide a reference for clinical treatment, we analyzed the potential mechanisms of cognitive dysfunction induced by hypertension and hyperlipidemia, the clinical research and controversy of antihypertensive and lipid-lowering therapies on cognitive function, and the clinical value of combined antihypertensive and lipid-lowering therapy. It is currently believed that hypertension and elevated blood cholesterol levels in middle-aged people may be related to cognitive impairment or dementia in the elderly. Some studies suggest that intensive antihypertensive or lipid-lowering therapies are better than standard antihypertensive or lipid-lowering therapy, yet further tests are needed to confirm their effects on cognitive function. Actively controlling potential risk factors from middle age may be important for Alzheimer's disease (AD) prevention.
Collapse
|
32
|
Associations of Lipid Levels and Cognition: Findings from the Hispanic Community Health Study/Study of Latinos. J Int Neuropsychol Soc 2020; 26:251-262. [PMID: 31543086 PMCID: PMC7083682 DOI: 10.1017/s1355617719001000] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
OBJECTIVE Hispanics/Latinos in the United States are less aware of their cholesterol levels and have a higher burden of associated adverse cardiovascular and cerebrovascular outcomes than non-Latino whites. Investigations of the associations between cholesterol levels and cognition in this population have often occurred within the context of metabolic syndrome and are limited to select lipids despite the fact that triglycerides (TGs) may be more relevant to the health of Hispanics/Latinos. METHODS Baseline data from the Hispanic Community Health Study/Study of Latinos, collected from 2008 to 2011, was used to investigate the associations of lipid levels (i.e., TG, total cholesterol, TC; low-density and high-density lipoprotein cholesterol, LDL-C and HDL-C) with cognition (i.e., learning, memory, verbal fluency, and digit symbol substitution, DSS), adjusting for relevant confounders. RESULTS In 7413 participants ages 45 to 74 years from Central American, Cuban, Dominican, Mexican, Puerto Rican, and South American backgrounds, separate, fully adjusted linear regression models revealed that TG levels were inversely associated with DSS performance; however, this relationship was no longer significant once additional cardiovascular disease risk factors were added to the model (p = .06). TC and LDL-C levels (separately) were positively associated with learning and verbal fluency regardless of adjustments (p-values < .05). Separate analyses investigating the effect modification by background and sex revealed a particularly robust association between TC levels and DSS performance for Puerto Ricans and Central Americans (albeit in opposite directions) and an inverse relationship between TG levels and DSS performance for women (p-values < .02). CONCLUSIONS It is important to consider individual lipid levels and demographic characteristics when investigating associations between cholesterol levels and cognition in Hispanics/Latinos.
Collapse
|
33
|
Feitosa MF, Lunetta KL, Wang L, Wojczynski MK, Kammerer CM, Perls T, Schupf N, Christensen K, Murabito JM, Province MA. Gene discovery for high-density lipoprotein cholesterol level change over time in prospective family studies. Atherosclerosis 2020; 297:102-110. [PMID: 32109663 DOI: 10.1016/j.atherosclerosis.2020.02.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2019] [Revised: 01/16/2020] [Accepted: 02/12/2020] [Indexed: 01/14/2023]
Abstract
BACKGROUNDS AND AIMS Several genes are known to contribute to the levels and metabolism of HDL-C, however, their protective effects in cardiovascular disease (CVD), healthy aging, and longevity are complex and poorly understood. It is also unclear if these genes predict longitudinal HDL-C change. We aimed to identify loci influencing HDL-C change. METHODS We performed a genome-wide association study (GWAS) with harmonized HDL-C and imputed genotype in three family-based studies recruited for exceptional survival (Long Life Family Study), from community-based (Framingham Heart Study) and enriched for CVD (Family Heart Study). In 7738 individuals with at least 2 visits, we employed a growth curve model to estimate the random linear trajectory parameter of age-sex-adjusted HDL-C for each person. GWAS was performed using a linear regression model on HDL-C change accounting for kinship correlations, population structure, and differences among studies. RESULTS We identified a novel association for HDL-C with GRID1 (p = 5.43 × 10-10), which encodes a glutamate receptor channel subunit involved in synaptic plasticity. Seven suggestive novel loci (p < 1.0 × 10-6; MBOAT2, LINC01876-NR4A2, NTNG2, CYSLTR2, SYNE2, CTXND1-LINC01314, and CYYR1) and a known lipid gene (ABCA10) showed associations with HDL-C change. Two additional sex-specific suggestive loci were identified in women (DCLK2 and KCNJ2). Several of these genetic variants are associated with lipid-related conditions influencing cardiovascular and metabolic health, have predictive regulatory function, and are involved in lipid-related pathways. CONCLUSIONS Modeling longitudinal HDL-C in prospective studies, with differences in healthy aging, longevity and CVD risk, contributed to gene discovery and provided insights into mechanisms of HDL-C regulation.
Collapse
Affiliation(s)
- Mary F Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St Louis, MO, USA.
| | - Kathryn L Lunetta
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA; National Heart Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA, USA
| | - Lihua Wang
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St Louis, MO, USA
| | - Mary K Wojczynski
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St Louis, MO, USA
| | - Candace M Kammerer
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, PA, USA
| | - Thomas Perls
- Department of Medicine, Geriatrics Section, Boston Medical Center, Boston University School of Medicine, MA, USA
| | - Nicole Schupf
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Department of Neurology, Columbia University Medical Center, New York, NY, USA
| | - Kaare Christensen
- Unit of Epidemiology, Biostatistics and Biodemography, Department of Public Health, Southern Denmark University, Odense, Denmark
| | - Joanne M Murabito
- National Heart Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA, USA; Section of General Internal Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Michael A Province
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St Louis, MO, USA
| |
Collapse
|
34
|
Tang Q, Wang F, Yang J, Peng H, Li Y, Li B, Wang S. Revealing a Novel Landscape of the Association Between Blood Lipid Levels and Alzheimer's Disease: A Meta-Analysis of a Case-Control Study. Front Aging Neurosci 2020; 11:370. [PMID: 32116643 PMCID: PMC7025526 DOI: 10.3389/fnagi.2019.00370] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Accepted: 12/17/2019] [Indexed: 12/18/2022] Open
Abstract
Objectives: Blood lipid profiles have been ambiguously reported as biomarkers of AD in recent years. This study was conducted to evaluate the correlation between blood lipid levels and AD in later-life and to explore the effectiveness and reliability of blood lipid profiles as biomarkers of AD. Methods: Database searching was conducted using PubMed, the Cochrane Library, EMBASE, and Medline. This study was designed following the Meta-analysis of Observational Studies in Epidemiology (MOOSE) criteria. Review Manager 5.3 (RevMan 5.3) software was adopted to perform meta-analysis evaluating the standard mean difference (SMD) with its 95% confidence intervals (CI). Results: A total of 5,286 participants were enrolled from 27 case–control studies in this meta-analysis. The pooled results demonstrated that total cholesterol (TC) level was significantly associated with AD in late-life (SMD = 0.17, 95% CI: [0.01, 0.32], P = 0.03), especially in the subgroup under 70 years old (SMD: 0.45, 95% CI: [0.11, 0.79], P = 0.01) and the subgroup of Western population (SMD: 0.29, 95% CI: [0.04, 0.53], P = 0.02). In the subgroup under 70 years old, the high-density lipoprotein cholesterol (HDL-C) level (SMD = −0.50, 95% CI: [−0.76, −0.25], P = 0.0001) and the low-density lipoprotein cholesterol (LDL-C) level (SMD = 0.59, 95% CI: [0.02, 1.16], P = 0.04) in the AD group were significantly lower and higher than in the control group, respectively. In the subgroup with a sample size larger than 100 subjects, the LDL-C level was significantly higher in AD patients than in the control elderly group (SMD = 0.31, 95% CI: [0.05, 0.56], P = 0.02). There was no significant association between triglyceride (TG) levels and AD in later-life (SMD = −0.00, 95% CI: [−0.12, 0.12], P = 1.00). Conclusion: TC can be a new predictive biomarker of AD or cognitive decline in later-life. Increased TC levels are found to be associated with an elevated risk of AD. Decreased HDL-C levels and increased LDL-C levels may relate to an elevated risk of AD in subjects aged 60–70. Further comprehensive researches will be necessary in the future.
Collapse
Affiliation(s)
- Qianyun Tang
- Xiangya Hospital, Central South University, Changsha, China.,Xiangya School of Nursing, Central South University, Changsha, China
| | - Fengling Wang
- Xiangya Hospital, Central South University, Changsha, China.,Xiangya School of Nursing, Central South University, Changsha, China
| | - Jingjing Yang
- Xiangya Hospital, Central South University, Changsha, China.,Xiangya School of Nursing, Central South University, Changsha, China
| | - Hua Peng
- Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Yu Li
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Bin Li
- National Clinical Research Center for Geriatric Disorders, Geriatric Department, Xiangya Hospital, Central South University, Changsha, China
| | - Shuhong Wang
- Xiangya Hospital, Central South University, Changsha, China.,Xiangya School of Nursing, Central South University, Changsha, China
| |
Collapse
|
35
|
Liu L, Huang X, Feng L, Wu Y. Internal Lipid Profile and Body Lipid Profile in Relation to Cognition: A Cross-Sectional Study in Southern China. Am J Alzheimers Dis Other Demen 2020; 35:1533317520962660. [PMID: 33089704 PMCID: PMC10624072 DOI: 10.1177/1533317520962660] [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] [Indexed: 11/16/2022]
Abstract
AIM There are currently no established, clinically relevant, non-invasive markers of cognitive impairment, except for age and APOE genotype. METHODS A cross-sectional study of 1,296 participants from Nanchang, China, has been conducted. We collected data from Mini-Mental State Examination (MMSE) scores, internal lipid profiles and body lipid profiles, age and other factors that may have an effect on cognitive impairment. RESULTS Internal lipid profiles (OR = 1.03 [95%CI, 1.00-1.06], P = 0.024), body lipid profiles (OR = 1.05 [95%CI, 1.01-1.09], P = 0.014), and age (OR = 1.03 [95%CI, 1.01-1.05], P < 0.001) were all positively correlated with cognitive impairment. CONCLUSIONS Cognitive impairment was more frequent in female patients with high internal lipid profiles or body lipid profiles, and these characteristics were related to age and education.
Collapse
Affiliation(s)
- Lian Liu
- Department Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang City, Jiangxi Province, China
- Department Health Care Centre, The First Affiliated Hospital of Nanchang University, Nanchang City, Jiangxi Province, China
| | - Xiao Huang
- Department Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang City, Jiangxi Province, China
| | - Liang Feng
- Department Health Care Centre, The First Affiliated Hospital of Nanchang University, Nanchang City, Jiangxi Province, China
| | - Yanqing Wu
- Department Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang City, Jiangxi Province, China
| |
Collapse
|
36
|
Moulignier A, Costagliola D. Metabolic Syndrome and Cardiovascular Disease Impacts on the Pathophysiology and Phenotype of HIV-Associated Neurocognitive Disorders. Curr Top Behav Neurosci 2020; 50:367-399. [PMID: 31989463 DOI: 10.1007/7854_2019_123] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Evidence from epidemiological studies on the general population suggests that midlife cardiovascular disease (CVD) and/or metabolic syndrome (MetS) are associated with an increased risk of cognitive impairment and dementia later in life. In the modern combined antiretroviral therapy (cART) era, as in the general population, CVD and MetS were strongly and independently associated with poorer cognitive performances of sustained immunovirologically controlled persons living with human immunodeficiency viruses (PLHIVs). Those findings suggest that CV/metabolic comorbidities could be implicated in the pathogenesis of HIV-associated neurocognitive disorders (HAND) and might be more important than factors related to HIV infection or its treatment, markers of immunocompetence, or virus replication. The association between CVD/MetS and cognition decline is driven by still not well-understood mechanisms, but risk might well be the consequence of increased brain inflammation and vascular changes, notably cerebral small-vessel disease. In this review, we highlight the correspondences observed between the findings concerning CVD and MetS in the general population and virus-suppressed cART-treated PLHIVs to evaluate the real brain-aging processes. Indeed, incomplete HIV control mainly reflects HIV-induced brain damage described during the first decades of the pandemic. Given the growing support that CVD and MetS are associated with HAND, it is crucial to improve early detection and assure appropriate management of these conditions.
Collapse
Affiliation(s)
- Antoine Moulignier
- Department of Neurology, Memory Clinic, Fondation Adolphe de Rothschild, Paris, France.
| | - Dominique Costagliola
- INSERM, Sorbonne Université, Institut Pierre-Louis d'Epidémiologie et de Santé Publique (IPLESP), Paris, France.
| |
Collapse
|
37
|
Fiocco AJ, Krieger L, D'Amico D, Parrott MD, Laurin D, Gaudreau P, Greenwood C, Ferland G. A systematic review of existing peripheral biomarkers of cognitive aging: Is there enough evidence for biomarker proxies in behavioral modification interventions?: An initiative in association with the nutrition, exercise and lifestyle team of the Canadian Consortium on Neurodegeneration in Aging. Ageing Res Rev 2019; 52:72-119. [PMID: 31059801 DOI: 10.1016/j.arr.2019.04.008] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2018] [Revised: 03/09/2019] [Accepted: 04/29/2019] [Indexed: 12/15/2022]
Abstract
Peripheral biomarkers have shown significant value in predicting brain health and may serve as a useful proxy measurement in the assessment of evidence-based lifestyle behavior modification programs, including physical activity and nutrition programs, that aim to maintain cognitive function in late life. The aim of this systematic review was to elucidate which peripheral biomarkers are robustly associated with cognitive function among relatively healthy non-demented older adults. Following the standards for systematic reviews (PICO, PRIMSA), and employing MEDLINE and Scopus search engines, 222 articles were included in the review. Based on the review of biomarker proxies of cognitive health, it is recommended that a comprehensive biomarker panel, or biomarker signature, be developed as a clinical end point for behavior modification trials aimed at enhancing cognitive function in late life. The biomarker signature should take a multisystemic approach, including lipid, immune/inflammatory, and metabolic biomarkers in the biological signature index of cognitive health.
Collapse
Affiliation(s)
| | - Laura Krieger
- Department of Psychology, Ryerson University, Toronto, ON, Canada
| | - Danielle D'Amico
- Department of Psychology, Ryerson University, Toronto, ON, Canada
| | | | - Danielle Laurin
- Laval University, Centre de recherche du CHU de Québec, QC, Canada
| | | | | | | |
Collapse
|
38
|
Buck HG, Mcghee S, Polo RL, Zambroski C. Hypercholesterolemia Management in Older Adults: A Scoping Review of Recent Evidence. J Gerontol Nurs 2019; 45:31-42. [DOI: 10.3928/00989134-20190211-04] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Accepted: 01/09/2019] [Indexed: 11/20/2022]
|
39
|
Lv YB, Mao C, Gao X, Yin ZX, Kraus VB, Yuan JQ, Zhang J, Luo JS, Zeng Y, Shi XM. Triglycerides Paradox Among the Oldest Old: "The Lower the Better?". J Am Geriatr Soc 2019; 67:741-748. [PMID: 30628728 DOI: 10.1111/jgs.15733] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2018] [Revised: 10/16/2018] [Accepted: 11/21/2018] [Indexed: 11/30/2022]
Abstract
OBJECTIVES Currently, most treatment guidelines suggest lowering hypertriglyceridemia of any severity, even in elderly individuals. However associations of serum triglycerides (TGs) with adverse health and mortality risk decrease with age, it remains unclear among the oldest old (aged 80 years and older). The study was to investigate the relationship of serum TG concentrations with cognitive function, activities of daily living (ADLs), frailty, and mortality among the oldest old in a prospective cohort study. DESIGN Longitudinal prospective cohort study. SETTING Community-based setting in longevity areas in China. PARTICIPANTS A total of 930 (mean age = 94.0 years) Chinese oldest old. MEASUREMENTS The TG concentrations were measured at baseline survey in 2009. Cognitive function, ADLs, frailty, and mortality were determined over 5 years of follow-up. Cox proportional hazards models and competing risk models were performed to explore the association, adjusting for potential confounders. RESULTS Each 1-mmol/L increase in TGs was associated with a nearly 20% lower risk of cognitive decline, ADL decline, and frailty aggravation during the 5 years of follow-up. Consistently, higher TGs (each 1 mmol/L) was associated with lower 5-year all-cause mortality after fully adjustment (hazard ratio [HR] = 0.79; 95% confidence interval [CI] = 0.69-0.89). Nonelevated TG concentrations (less than 2.26 mmol/L) were associated with higher mortality risk (HR = 1.72; 95% CI = 1.22-2.44), relative to TGs of 2.26 mmol/L or more. We observed similar results regarding TG concentrations and mortality in 1-year lag analysis and when excluding participants with identified chronic disease. CONCLUSION In the oldest old, a higher concentration of TGs was associated with a lower risk of cognitive decline, ADL decline, frailty aggravation, and mortality. This paradox suggests the clinical importance of revisiting the concept of "the lower the better" for the oldest old. J Am Geriatr Soc 67:741-748, 2019.
Collapse
Affiliation(s)
- Yue-Bin Lv
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Chen Mao
- Division of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Xiang Gao
- Nutritional Epidemiology Lab, Pennsylvania State University, Philadelphia, Pennsylvania
| | - Zhao-Xue Yin
- Division of Non-Communicable Disease Control and Community Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Virginia Byers Kraus
- Duke Molecular Physiology Institute and Division of Rheumatology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina
| | - Jin-Qiu Yuan
- Division of Epidemiology, JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
| | - Juan Zhang
- School of Public Health, Peking Union Medical College/Chinese Academy of Medical Sciences, Beijing, China
| | - Jie-Si Luo
- Division of Non-Communicable Disease Control and Community Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yi Zeng
- Center for the Study of Aging and Human Development and the Geriatric Division of School of Medicine, Duke University, Durham, North Carolina.,Center for Study of Healthy Aging and Development Studies, Peking University, Beijing, China
| | - Xiao-Ming Shi
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| |
Collapse
|
40
|
Chen H, Du Y, Liu S, Ge B, Ji Y, Huang G. Association between serum cholesterol levels and Alzheimer's disease in China: a case-control study. Int J Food Sci Nutr 2019; 70:405-411. [PMID: 30624122 DOI: 10.1080/09637486.2018.1508426] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
To examine the association between blood cholesterol concentrations and Alzheimer's disease (AD) in the Chinese elderly. A case-control study was implemented between November 2011 and November 2017. Elderly patients aged ≥ 55 years with (n = 117) and without AD (control participants; n = 117) were recruited from the Neurology Central Hospital of Tianjin, China. The associations between AD and blood parameters were assessed using multiple binary logistic regression analyses adjusted for multiple covariates. Higher serum total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C) levels and lower serum high-density lipoprotein cholesterol (HDL-C) levels associated with AD risk in the models adjusted for (1) age, sex and education; and (2) further adjusted for body mass index, smoking status, stroke, hypertension, type 2 diabetes mellitus and heart disease. Increased serum TC and LDL-C levels and lower HDL-C levels were independently associated with the risk of AD.
Collapse
Affiliation(s)
- Hui Chen
- a School of Nursing , Tianjin Medical University , Tianjin , China
| | - Yue Du
- b Department of Nutrition and Food Science, School of Public Health , Tianjin Medical University , Tianjin , China
| | - Shuai Liu
- c Department of Neurology, and Tianjin Key Laboratory of Cerebrovascular and Neurodegenerative Diseases , Tianjin Huanhu Hospital , Tianjin , China
| | - Baojin Ge
- b Department of Nutrition and Food Science, School of Public Health , Tianjin Medical University , Tianjin , China
| | - Yong Ji
- c Department of Neurology, and Tianjin Key Laboratory of Cerebrovascular and Neurodegenerative Diseases , Tianjin Huanhu Hospital , Tianjin , China
| | - Guowei Huang
- b Department of Nutrition and Food Science, School of Public Health , Tianjin Medical University , Tianjin , China
| |
Collapse
|
41
|
Zhou F, Deng W, Ding D, Zhao Q, Liang X, Wang F, Luo J, Zheng L, Guo Q, Hong Z. High Low-Density Lipoprotein Cholesterol Inversely Relates to Dementia in Community-Dwelling Older Adults: The Shanghai Aging Study. Front Neurol 2018; 9:952. [PMID: 30483213 PMCID: PMC6240682 DOI: 10.3389/fneur.2018.00952] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2018] [Accepted: 10/24/2018] [Indexed: 11/26/2022] Open
Abstract
Background: The relationship between cholesterol and cognitive function is unclear from the previous studies. This study was conducted to explore this association in older Chinese adults. Methods: Data were from the Shanghai Aging Study, comprising 3,836 residents aged 50 years or over in an urban community. Diagnoses of dementia and mild cognitive impairment were established according to the fourth edition of diagnostic and statistical manual of mental disorders (DSM-IV) and Petersen criteria. Multivariate logistic regression models, non-matched and propensity score (PS) matched, were used to examine the association between cholesterol levels and cognitive function. Results: There was a significantly higher proportion of participants with low levels of total cholesterol (TC) and low density lipoprotein cholesterol (LDL-C) in the dementia group than in groups without dementia (P < 0.05). High LDL-C level was inversely associated with dementia, with a negative trend in the PS matched model. TC and high density lipoprotein cholesterol (HDL-C) were not significantly related to dementia in either non-matched models or PS matched models. Conclusion: Our result indicates that high level of LDL-C is inversely associated with dementia. High level of LDL-C may be considered as a potential protective factor against cognition decline.
Collapse
Affiliation(s)
- Fen Zhou
- Department of Biostatistics, School of Public Health, Fudan University, Shanghai, China.,Key Lab of Health Technology Assessment, National Health and Family Planning Commission of the People's Republic of China (Fudan University), Shanghai, China.,Key Laboratory of Public Health Safety of Ministry of Education (Fudan University), Shanghai, China
| | - Wei Deng
- Department of Biostatistics, School of Public Health, Fudan University, Shanghai, China.,Key Lab of Health Technology Assessment, National Health and Family Planning Commission of the People's Republic of China (Fudan University), Shanghai, China.,Key Laboratory of Public Health Safety of Ministry of Education (Fudan University), Shanghai, China
| | - Ding Ding
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Qianhua Zhao
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Xiaoniu Liang
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Fei Wang
- Department of Biostatistics, School of Public Health, Fudan University, Shanghai, China.,Key Lab of Health Technology Assessment, National Health and Family Planning Commission of the People's Republic of China (Fudan University), Shanghai, China.,Key Laboratory of Public Health Safety of Ministry of Education (Fudan University), Shanghai, China
| | - Jianfeng Luo
- Department of Biostatistics, School of Public Health, Fudan University, Shanghai, China.,Key Lab of Health Technology Assessment, National Health and Family Planning Commission of the People's Republic of China (Fudan University), Shanghai, China.,Key Laboratory of Public Health Safety of Ministry of Education (Fudan University), Shanghai, China
| | - Li Zheng
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Qihao Guo
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Zhen Hong
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| |
Collapse
|
42
|
Incidence and Comorbidity of Dementia with Lewy Bodies: A Population-Based Cohort Study. Behav Neurol 2018; 2018:7631951. [PMID: 30002741 PMCID: PMC5996442 DOI: 10.1155/2018/7631951] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2018] [Accepted: 05/12/2018] [Indexed: 11/28/2022] Open
Abstract
Background and Aims Dementia with Lewy bodies (DLB) is the third most common form of dementia. Epidemiological studies of DLB in Taiwan are scarce. In this study, we estimated the incidence of DLB and comorbidity in the population of Taiwan. Methods Data were obtained from the Taiwan National Health Insurance Research Database (NHIRD). DLB patients between 2000 and 2013 were enrolled in assessments of incidence and comorbidity. Results The incidence of DLB was shown to be 7.10 per 100,000 person-years (95% CI = 6.63–7.59), which increased with age. The average age at diagnosis was 76.3, and this was higher for males than for females. The comorbidity rates of hypertension and hyperlipidemia in DLB patients were higher in females than in males. Conclusions Epidemiologic data from large-scale retrospective studies is crucial to the prevention of DLB.
Collapse
|
43
|
Ren L, Zheng Y, Wu L, Gu Y, He Y, Jiang B, Zhang J, Zhang L, Li J. Investigation of the prevalence of Cognitive Impairment and its risk factors within the elderly population in Shanghai, China. Sci Rep 2018; 8:3575. [PMID: 29476112 PMCID: PMC5824836 DOI: 10.1038/s41598-018-21983-w] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2017] [Accepted: 02/14/2018] [Indexed: 11/26/2022] Open
Abstract
To investigate the prevalence of cognitive impairment and its risk factors among Chinese elders aged over 80 years, a community-based, cross-sectional study was conducted from May to June 2016 in Shanghai, China. Cognitive function was measured by using Mini-Mental Status Examination. Multiple logistic regression assessed associations between risk factors and cognitive impairment. Of 480 participants, 30% were diagnosed with cognitive impairment. Women [adjusted odds ratio (AOR): 1.71, 95% confidence interval (CI): 1.03-2.83], solitary life (AOR: 3.15, 1.89-5.26), monthly income less than 2000 Chinese yuan (AOR: 3.47, 1.18-10.23) were significantly associated with increased risk of cognitive impairment, compared with men, non-solitary life, and monthly income greater than 4000 Chinese yuan, respectively. Overweight (AOR: 0.59, 0.36-0.97), being physically active at least 60 minutes per day (AOR: 0.59, 0.35-0.95), antihypertensive drugs users (AOR: 0.45, 0.28-0.72), and lipid lowering drugs users (AOR: 0.21, 0.06-0.76) significantly lowered the risk of cognitive impairment, compared with normal weight, inadequate outdoor activity, and non-medication users, respectively. Accordingly, this study found that women, solitary life, lower income was associated with increased risk of cognitive impairment, while overweight, being physically active, and antihypertensive and lipid lowering drugs usage might lower the risk.
Collapse
Affiliation(s)
- Longbing Ren
- Shanghai East Hospital, Key Laboratory of Arrhythmias, Ministry of Education, Tongji University School of Medicine, Tongji University, Shanghai, 200120, China
- Institute of Clinical Epidemiology and Evidence-based medicine, Tongji University School of Medicine, Shanghai, 200092, P.R. China
| | - Yongtao Zheng
- Shanghai East Hospital, Key Laboratory of Arrhythmias, Ministry of Education, Tongji University School of Medicine, Tongji University, Shanghai, 200120, China
- Institute of Clinical Epidemiology and Evidence-based medicine, Tongji University School of Medicine, Shanghai, 200092, P.R. China
| | - Lezhou Wu
- Department of Data Science, Children's Hospital of Philadelphia, Philadelphia, PA, 19147, USA
| | - Yijun Gu
- Shanghai East Hospital, Key Laboratory of Arrhythmias, Ministry of Education, Tongji University School of Medicine, Tongji University, Shanghai, 200120, China
- Institute of Clinical Epidemiology and Evidence-based medicine, Tongji University School of Medicine, Shanghai, 200092, P.R. China
| | - Yusheng He
- Department of Neurology, Tongji Hospital, Tongji University, Shanghai, China
| | - Bo Jiang
- Shanghai East Hospital, Key Laboratory of Arrhythmias, Ministry of Education, Tongji University School of Medicine, Tongji University, Shanghai, 200120, China
- Institute of Clinical Epidemiology and Evidence-based medicine, Tongji University School of Medicine, Shanghai, 200092, P.R. China
| | - Jie Zhang
- Shanghai East Hospital, Key Laboratory of Arrhythmias, Ministry of Education, Tongji University School of Medicine, Tongji University, Shanghai, 200120, China
- Institute of Clinical Epidemiology and Evidence-based medicine, Tongji University School of Medicine, Shanghai, 200092, P.R. China
| | - Lijuan Zhang
- Shanghai East Hospital, Key Laboratory of Arrhythmias, Ministry of Education, Tongji University School of Medicine, Tongji University, Shanghai, 200120, China.
- Institute of Clinical Epidemiology and Evidence-based medicine, Tongji University School of Medicine, Shanghai, 200092, P.R. China.
| | - Jue Li
- Shanghai East Hospital, Key Laboratory of Arrhythmias, Ministry of Education, Tongji University School of Medicine, Tongji University, Shanghai, 200120, China.
- Institute of Clinical Epidemiology and Evidence-based medicine, Tongji University School of Medicine, Shanghai, 200092, P.R. China.
| |
Collapse
|
44
|
Li R, Wang TJ, Lyu PY, Liu Y, Chen WH, Fan MY, Xu J. Effects of Plasma Lipids and Statins on Cognitive Function. Chin Med J (Engl) 2018; 131:471-476. [PMID: 29451153 PMCID: PMC5830833 DOI: 10.4103/0366-6999.225062] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2017] [Indexed: 01/09/2023] Open
Abstract
OBJECTIVE: Dementia is the fourth most common cause of death in developed countries. The relationship between plasma lipids and cognitive function is complex and controversial. Due to the increasing life expectancy of the population, there is an urgent need to control vascular risk factors and to identify therapies to prevent and treat both cognitive impairment and dementia. Here, we reviewed the effects of plasma lipids and statins on cognitive function. DATA SOURCES: We searched the PubMed database for research articles published through November 2017 with key words including "plasma lipids," "hyperlipidemia," "hypercholesterolemia," "statins," and "cognition function." STUDY SELECTION: Articles were retrieved and reviewed to analyze the effects of plasma lipids and statins on cognitive function and the mechanisms underlying these effects. RESULTS: Many studies have examined the relationship between plasma lipids and cognitive function, but no definitive conclusions can be drawn. The mechanisms involved may include blood-brain barrier injury, the influence on small blood vessels in the brain, the influence on amyloid deposition, and a neuroprotective effect. To date, most studies of statins and cognition have been observational, with few randomized controlled trials. Therefore, firm conclusions regarding whether mid- or long-term statin use affects cognition function and dementia remain elusive. However, increasing concern exists that statins may be a causative factor for cognitive problems. These adverse effects appear to be rare and likely represent a yet-to-be-defined vulnerability in susceptible individuals. CONCLUSIONS: The association between plasma lipids and cognition, the mechanism of the influence of plasma lipids on cognitive function, and the association between statins and cognitive function are complex issues and currently not fully understood. Future research aimed at identifying the mechanisms that underlie the effects of plasma lipids and statins on cognition will not only provide important insight into the causes and interdependencies of cognitive impairment and dementia, but also inspire novel strategies for treating and preventing these cognitive disorders.
Collapse
Affiliation(s)
- Rui Li
- Graduate School, Hebei Medical University, Shijiazhuang, Hebei 050017, China
| | - Tian-Jun Wang
- Department of Neurology, Hebei General Hospital, Shijiazhuang, Hebei 050051, China
| | - Pei-Yuan Lyu
- Graduate School, Hebei Medical University, Shijiazhuang, Hebei 050017, China
- Department of Neurology, Hebei General Hospital, Shijiazhuang, Hebei 050051, China
| | - Yang Liu
- Graduate School, Hebei Medical University, Shijiazhuang, Hebei 050017, China
| | - Wei-Hong Chen
- Graduate School, Hebei Medical University, Shijiazhuang, Hebei 050017, China
| | - Ming-Yue Fan
- Department of Neurology, Hebei General Hospital, Shijiazhuang, Hebei 050051, China
| | - Jing Xu
- Department of Neurology, Hebei General Hospital, Shijiazhuang, Hebei 050051, China
| |
Collapse
|
45
|
Alfaro FJ, Gavrieli A, Saade-Lemus P, Lioutas VA, Upadhyay J, Novak V. White matter microstructure and cognitive decline in metabolic syndrome: a review of diffusion tensor imaging. Metabolism 2018; 78:52-68. [PMID: 28920863 PMCID: PMC5732847 DOI: 10.1016/j.metabol.2017.08.009] [Citation(s) in RCA: 67] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2017] [Revised: 08/18/2017] [Accepted: 08/22/2017] [Indexed: 12/13/2022]
Abstract
Metabolic syndrome is a cluster of cardiovascular risk factors defined by the presence of abdominal obesity, glucose intolerance, hypertension and/or dyslipidemia. It is a major public health epidemic worldwide, and a known risk factor for the development of cognitive dysfunction and dementia. Several studies have demonstrated a positive association between the presence of metabolic syndrome and worse cognitive outcomes, however, evidence of brain structure pathology is limited. Diffusion tensor imaging has offered new opportunities to detect microstructural white matter changes in metabolic syndrome, and a possibility to detect associations between functional and structural abnormalities. This review analyzes the impact of metabolic syndrome on white matter microstructural integrity, brain structure abnormalities and their relationship to cognitive function. Each of the metabolic syndrome components exerts a specific signature of white matter microstructural abnormalities. Metabolic syndrome and its components exert both additive/synergistic, as well as, independent effects on brain microstructure thus accelerating brain aging and cognitive decline.
Collapse
Affiliation(s)
- Freddy J Alfaro
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, 185 Pilgrim Road, Palmer 127, Boston, MA 02215, USA.
| | - Anna Gavrieli
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, 185 Pilgrim Road, Palmer 127, Boston, MA 02215, USA.
| | - Patricia Saade-Lemus
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, 185 Pilgrim Road, Palmer 127, Boston, MA 02215, USA.
| | - Vasileios-Arsenios Lioutas
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, 185 Pilgrim Road, Palmer 127, Boston, MA 02215, USA.
| | - Jagriti Upadhyay
- Department of Endocrinology, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Ave, Boston, MA 02215,USA.
| | - Vera Novak
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, 185 Pilgrim Road, Palmer 127, Boston, MA 02215, USA.
| |
Collapse
|
46
|
Lu Y, An Y, Yu H, Che F, Zhang X, Rong H, Xi Y, Xiao R. Sex-specific nonlinear associations between serum lipids and different domains of cognitive function in middle to older age individuals. Metab Brain Dis 2017; 32:1089-1097. [PMID: 28374237 DOI: 10.1007/s11011-017-9999-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2016] [Accepted: 03/23/2017] [Indexed: 12/19/2022]
Abstract
To examine how serum lipids relates to specific cognitive ability domains between the men and women in Chinese middle to older age individuals. A complete lipid panel was obtained from 1444 individuals, ages 50-65, who also underwent a selection of cognitive tests. Participants were 584 men and 860 women from Linyi city, Shandong province. Multiple linear regression analyses examined serum lipids level as quadratic predictors of sex-specific measure of performance in different cognitive domains, which were adjusted for sociodemographic and lifestyle characteristics. In men, a significant quadratic effect of total cholesterol (TC) was identified for Digit Symbol (B = -0.081, P = 0.044) and also quadratic effect of low density lipoprotein-cholesterol (LDL-C) was identified for Trail Making Test B (B = -0.082, P = 0.045). Differently in women, there were significant quadratic associations between high density lipoprotein-cholesterol (HDL-C) and multiple neuropsychological tests. The nonlinear lipid-cognition associations differed between men and women and were specific to certain cognitive domains and might be of potential relevance for prevention and therapy of cognitive decline.
Collapse
Affiliation(s)
- Yanhui Lu
- School of Public Health, Capital Medical University, No.10 Xitoutiao, You An Men Wai, Fengtai District, Beijing, 100069, China
- Linyi Mental Health Center, Linyi, Shandong, China
| | - Yu An
- School of Public Health, Capital Medical University, No.10 Xitoutiao, You An Men Wai, Fengtai District, Beijing, 100069, China
| | - Huanling Yu
- School of Public Health, Capital Medical University, No.10 Xitoutiao, You An Men Wai, Fengtai District, Beijing, 100069, China
| | | | - Xiaona Zhang
- School of Public Health, Capital Medical University, No.10 Xitoutiao, You An Men Wai, Fengtai District, Beijing, 100069, China
| | - Hongguo Rong
- School of Public Health, Capital Medical University, No.10 Xitoutiao, You An Men Wai, Fengtai District, Beijing, 100069, China
| | - Yuandi Xi
- School of Public Health, Capital Medical University, No.10 Xitoutiao, You An Men Wai, Fengtai District, Beijing, 100069, China
| | - Rong Xiao
- School of Public Health, Capital Medical University, No.10 Xitoutiao, You An Men Wai, Fengtai District, Beijing, 100069, China.
| |
Collapse
|