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Ng TKS, Beck T, Liu X, Desai P, Holland T, Dhana K, Krueger K, Wilson RS, Evans DA, Rajan KB. Longitudinal associations between lipid panel and cognitive decline modified by APOE 4 carrier status in biracial community-dwelling older adults: Findings from the Chicago health and aging project. Arch Gerontol Geriatr 2025; 134:105825. [PMID: 40179541 PMCID: PMC12058384 DOI: 10.1016/j.archger.2025.105825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2024] [Revised: 02/25/2025] [Accepted: 03/08/2025] [Indexed: 04/05/2025]
Abstract
BACKGROUND There have been contradictory findings on the associations between lipids and cognitive decline (CD), which may be attributed to the heterogeneity in the APOE4 carrier status, given APOE's lipid transportation roles. However, extant studies rarely examined the modifying effects of APOE4 carrier status on the associations between lipids and CD. METHODS We analyzed the Chicago Health and Aging Project, a 20-year cohort study comprising older adults with lipid panel assayed, i.e., total cholesterol (TC), triglycerides (TG), high-density lipoprotein (HDL), and low-density lipoprotein (LDL), and longitudinal cognitive tests. We ran adjusted linear mixed-effects models, regressing cognitive test composite on each of the four lipids independently, first with the total sample and subsequently using interaction and stratified subgroup analyses, examining the modifying effects of APOE4 carrier status on the associations. RESULTS 3,496 biracial community-dwelling older adults were recruited from the South side of Chicago (58% African American & 64% women; mean follow-up = 4.6 years). In the total sample, there was a borderline association between TG and CD, estimate (SD, p-value) = 0.0001 (0.0000,0.0565). No associations were detected with other lipids. In the interaction and subgroup analyses, only in ε4 carriers that higher TC levels were significantly associated with accelerated CD, -0.020 (0.009,0.035), whereas higher TG levels were significantly associated with decelerated CD, 0.001 (0.001,0.045). No modifying effects of ε4 carrier status were detected with other lipids. DISCUSSION Specific lipids, i.e., TC and TG, were associated with CD only in the ε4 carriers, highlighting the potential importance of measuring APOE4 status to better inform risk prediction and treatment.
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Affiliation(s)
- Ted K S Ng
- Rush Institute for Healthy Aging, Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA.
| | - Todd Beck
- Rush Institute for Healthy Aging, Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Xiaoran Liu
- Rush Institute for Healthy Aging, Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Pankaja Desai
- Rush Institute for Healthy Aging, Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Thomas Holland
- Rush University Medical Center, Rush Institute for Healthy Aging & College of Health Sciences, USA
| | - Klodian Dhana
- Rush Institute for Healthy Aging, Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Kristin Krueger
- Rush Institute for Healthy Aging, Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Robert S Wilson
- Rush Alzheimer's Disease Research Center, Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Denis A Evans
- Rush Institute for Healthy Aging, Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Kumar B Rajan
- Rush Institute for Healthy Aging, Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA; Rush Alzheimer's Disease Research Center, Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA
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Tremblay SA, Nathan Spreng R, Wearn A, Alasmar Z, Pirhadi A, Tardif CL, Chakravarty MM, Villeneuve S, Leppert IR, Carbonell F, Medina YI, Steele CJ, Gauthier CJ. Sex and APOE4-specific links between cardiometabolic risk factors and white matter alterations in individuals with a family history of Alzheimer's disease. Neurobiol Aging 2025; 150:80-96. [PMID: 40086421 DOI: 10.1016/j.neurobiolaging.2025.03.003] [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: 09/25/2024] [Revised: 02/11/2025] [Accepted: 03/02/2025] [Indexed: 03/16/2025]
Abstract
Early detection of pathological changes in Alzheimer's disease (AD) has garnered significant attention in the last few decades as interventions aiming to prevent progression will likely be most effective when initiated early. White matter (WM) alterations are among the earliest changes in AD, yet limited work has comprehensively characterized the effects of AD risk factors on WM. In older adults with a family history of AD, we investigated the sex-specific and APOE genotype-related relationships between WM microstructure and risk factors. Multiple MRI-derived metrics were integrated using a multivariate approach based on the Mahalanobis distance (D2). To uncover the specific biological underpinnings of these WM alterations, we then extracted the contribution of each MRI feature to D2 in significant clusters. Lastly, the links between WM D2 and cognition were explored. WM D2 in several regions was associated with high systolic blood pressure, BMI, and glycated hemoglobin, and low cholesterol, in both males and females. APOE4 + displayed a distinct risk pattern, with LDL-cholesterol having a detrimental effect only in carriers, and this pattern was linked to immediate memory performance. Myelination was the main mechanism underlying WM alterations. Our findings reveal that combined exposure to multiple cardiometabolic risk factors negatively impacts microstructural health, which may subsequently affect cognition. Notably, APOE4 carriers exhibited a different risk pattern, especially in the role of LDL, suggesting distinct underlying mechanisms in this group.
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Affiliation(s)
- Stefanie A Tremblay
- Physics department, Concordia University, 7141 Rue Sherbrooke W, Montréal, QC H4B 1R6, Canada; Montreal Heart Institute, 5000 Rue Bélanger, Montréal, QC H1T 1C8, Canada; School of Health, Concordia University, 7200 Rue Sherbrooke W, Montréal, QC H4B 1R6, Canada.
| | - R Nathan Spreng
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, 3801 University Street, Montreal, QC H3A 2B4, Canada; Department of Psychiatry, McGill University, 845 Rue Sherbrooke W, Montréal, QC H3A 0G4, Canada; McConnell Brain Imaging Centre, Montreal Neurological Institute, 845 Rue Sherbrooke W, Montréal, QC H3A 0G4, Canada; StoP-AD Centre, Douglas Mental Health Institute Research Centre, 6875 Blvd. LaSalle, Verdun, QC H4H 1R3, Canada
| | - Alfie Wearn
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, 3801 University Street, Montreal, QC H3A 2B4, Canada
| | - Zaki Alasmar
- School of Health, Concordia University, 7200 Rue Sherbrooke W, Montréal, QC H4B 1R6, Canada; Psychology department, Concordia University, 7141 Rue Sherbrooke W, Montréal, QC H4B 1R6, Canada
| | - Amir Pirhadi
- Electrical Engineering department, Concordia University, 1455 De Maisonneuve Blvd. W, Montreal, QC H3G 1M8, Canada; ViTAA Medical Solutions, 400 Rue Montfort, Montréal, QC H3C 4J9, Canada
| | - Christine L Tardif
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, 3801 University Street, Montreal, QC H3A 2B4, Canada; McConnell Brain Imaging Centre, Montreal Neurological Institute, 845 Rue Sherbrooke W, Montréal, QC H3A 0G4, Canada; Department of Biomedical Engineering, McGill University, 845 Rue Sherbrooke W, Montréal, QC H3A 0G4, Canada
| | - Mallar M Chakravarty
- Department of Psychiatry, McGill University, 845 Rue Sherbrooke W, Montréal, QC H3A 0G4, Canada; Department of Biomedical Engineering, McGill University, 845 Rue Sherbrooke W, Montréal, QC H3A 0G4, Canada; StoP-AD Centre, Douglas Mental Health Institute Research Centre, 6875 Blvd. LaSalle, Verdun, QC H4H 1R3, Canada
| | - Sylvia Villeneuve
- Department of Psychiatry, McGill University, 845 Rue Sherbrooke W, Montréal, QC H3A 0G4, Canada; McConnell Brain Imaging Centre, Montreal Neurological Institute, 845 Rue Sherbrooke W, Montréal, QC H3A 0G4, Canada; StoP-AD Centre, Douglas Mental Health Institute Research Centre, 6875 Blvd. LaSalle, Verdun, QC H4H 1R3, Canada
| | - Ilana R Leppert
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, 3801 University Street, Montreal, QC H3A 2B4, Canada; McConnell Brain Imaging Centre, Montreal Neurological Institute, 845 Rue Sherbrooke W, Montréal, QC H3A 0G4, Canada
| | | | - Yasser Iturria Medina
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, 3801 University Street, Montreal, QC H3A 2B4, Canada; McConnell Brain Imaging Centre, Montreal Neurological Institute, 845 Rue Sherbrooke W, Montréal, QC H3A 0G4, Canada; Ludmer Center for NeuroInformatics and Mental Health, 1010 rue Sherbrooke W, Montreal, Canada
| | - Christopher J Steele
- School of Health, Concordia University, 7200 Rue Sherbrooke W, Montréal, QC H4B 1R6, Canada; Psychology department, Concordia University, 7141 Rue Sherbrooke W, Montréal, QC H4B 1R6, Canada; Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstraße 1a, Leipzig 04103, Germany
| | - Claudine J Gauthier
- Physics department, Concordia University, 7141 Rue Sherbrooke W, Montréal, QC H4B 1R6, Canada; Montreal Heart Institute, 5000 Rue Bélanger, Montréal, QC H1T 1C8, Canada; School of Health, Concordia University, 7200 Rue Sherbrooke W, Montréal, QC H4B 1R6, Canada.
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Wang B, Zhou Y, Yu H, Jiang T, Liu K, Pu J, Wang Y. Correlations between nutritional indicators and cognitive function in patients with stable schizophrenia in a hospital setting. PLoS One 2024; 19:e0312227. [PMID: 39495754 PMCID: PMC11534214 DOI: 10.1371/journal.pone.0312227] [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: 02/18/2024] [Accepted: 10/02/2024] [Indexed: 11/06/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Cognitive impairment is a core feature of schizophrenia, and it is now clear that there is a link between nutritional indicators and cognitive functioning. This study aimed to investigate correlations between three nutritional indicators (prognostic nutritional index [PNI], geriatric nutritional risk index [GNRI], and controlling nutritional status score [CONUT]) and cognitive function in hospitalized patients with stable schizophrenia. METHODS A total of 235 patients who were hospitalized with stable schizophrenia were included. Patient demographic information was collected through self-reports or electronic medical records, and cognitive function was assessed using the Montreal Cognitive Assessment in China (MoCA-C). Information on serum albumin and total cholesterol levels, lymphocyte counts, and body mass index during the stable stage of schizophrenia was collected to calculate the PNI, GNRI, and CONUT scores, according to their respective calculation criteria. Covariate-adjusted linear regression model and ordered logistic regression model were constructed to determine the relationship between nutritional indicators and cognitive function. RESULTS Overall, 90.2% of the patients were under the age of 60 years, and males comprised 60% of all patients. The median scores for MoCA-C, PNI, GNRI, and CONUT in hospitalized patients with stable schizophrenia were 18 (12,23), 52.85 (50.25,55.90), 110.85 (105.80,116.21), and 3 (3,3), respectively. The results of the correlation analysis showed that only PNI was associated with MoCA-C scores (r = 0.15, P = 0.021). This relationship was further confirmed by covariate-adjusted linear regression modeling (β = 0.147, 95%CI:0.049-0.351, p = 0.01) and ordered logistic regression modeling (OR = 0.054, 95%CI:0.001-0.106, p = 0.046). CONCLUSIONS The findings revealed a significant correlation between PNI scores and MoCA-C scores in hospitalized patients with stable schizophrenia.
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Affiliation(s)
- Binyou Wang
- Department of Psychiatry, Zigong Mental Health Center, The Zigong Affiliated Hospital of Southwest Medical University, Zigong, Sichuan Province, China
| | - Yong Zhou
- Department of Psychiatry, Zigong Mental Health Center, The Zigong Affiliated Hospital of Southwest Medical University, Zigong, Sichuan Province, China
| | - Han Yu
- Department of Psychiatry, Zigong Mental Health Center, The Zigong Affiliated Hospital of Southwest Medical University, Zigong, Sichuan Province, China
| | - Techeng Jiang
- Department of Psychiatry, Zigong Mental Health Center, The Zigong Affiliated Hospital of Southwest Medical University, Zigong, Sichuan Province, China
| | - Kezhi Liu
- Department of Psychiatry, Zigong Mental Health Center, The Zigong Affiliated Hospital of Southwest Medical University, Zigong, Sichuan Province, China
| | - Jianlin Pu
- Department of Psychiatry, Zigong Mental Health Center, The Zigong Affiliated Hospital of Southwest Medical University, Zigong, Sichuan Province, China
| | - Yilin Wang
- Department of Psychiatry, Zigong Mental Health Center, The Zigong Affiliated Hospital of Southwest Medical University, Zigong, Sichuan Province, China
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Schroevers JL, Richard E, Hoevenaar-Blom MP, van den Born BJH, van Gool WA, Moll van Charante EP, van Dalen JW. Adverse Lipid Profiles Are Associated with Lower Dementia Risk in Older People. J Am Med Dir Assoc 2024; 25:105132. [PMID: 38977201 DOI: 10.1016/j.jamda.2024.105132] [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: 03/22/2024] [Revised: 05/29/2024] [Accepted: 06/03/2024] [Indexed: 07/10/2024]
Abstract
OBJECTIVE Midlife dyslipidemia is associated with higher risk of dementia in late-life dementia, but the impact of late-life dyslipidemia on dementia risk is uncertain. This may be due to the large heterogeneity in cholesterol measures and study designs employed. We used detailed data from a large prospective cohort of older persons to comprehensively assess the relation between a broad range of cholesterol measures and incident dementia, addressing potential biases, confounders, and modifiers. DESIGN Post hoc observational analysis based on data from a dementia prevention trial (PreDIVA). SETTING AND PARTICIPANTS 3392 community-dwelling individuals, without dementia, aged 70-78 years at baseline (recruited between June 2006 and March 2009). METHODS Total cholesterol, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglycerides, and apolipoprotein A1 and B were assessed. Over a median of 6.7 years' follow-up, dementia was established by clinical diagnosis confirmed by independent outcome adjudication. Hazard ratios (HRs) for dementia and mortality were calculated using Cox regression. RESULTS Dementia occurred in 231 (7%) participants. One-SD increase in LDL/HDL conveyed a 19% (P = .01) lower dementia risk and a 10% (P = .02) lower risk of dementia/mortality combined. This was independent of age, cardiovascular risk factors, cognitive function, apolipoprotein E genotype, and cholesterol-lowering drugs (CLD). This association was not influenced by the competing risk of mortality. Consistent and significant interactions suggested these associations were predominant in individuals with low body mass index (BMI) and higher education. CONCLUSIONS AND IMPLICATIONS Dyslipidemia in older individuals was associated with a lower risk of dementia. Low BMI and higher education level mitigate poor outcomes associated with dyslipidemia. These findings suggest that a different approach may be appropriate for interpreting lipid profiles that are conventionally considered adverse in older adults. Such an approach may aid predicting dementia risk and designing intervention studies aimed at reducing dementia risk in older populations.
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Affiliation(s)
- Jakob L Schroevers
- Department of General Practice, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
| | - Edo Richard
- Department of Neurology, Donders Institute for Brain, Cognition, and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands; Department of Public & Occupational Health, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Marieke P Hoevenaar-Blom
- Department of General Practice, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands; Department of Public & Occupational Health, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Bert-Jan H van den Born
- Department of Public & Occupational Health, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands; Department of Vascular Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Willem A van Gool
- Department of Public & Occupational Health, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands; Department of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Eric P Moll van Charante
- Department of General Practice, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands; Department of Public & Occupational Health, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Jan Willem van Dalen
- Department of Neurology, Donders Institute for Brain, Cognition, and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands; Department of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
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Gao D, Ni X, Fang S, Wang Z, Jiao J, Liu D, Huang X, Jiang M, Zhou Q, Sun L, Zhu X, Su H, Li R, Huang B, Lv Y, Pang G, Hu C, Yang Z, Yuan H. Exploration for the reference interval of C-reactive protein in the Chinese longevity people over 90 years of age. Diabetes Metab Syndr 2023; 17:102817. [PMID: 37406418 DOI: 10.1016/j.dsx.2023.102817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Revised: 06/21/2023] [Accepted: 06/23/2023] [Indexed: 07/07/2023]
Abstract
BACKGROUND Older individuals tend to develop chronic inflammation. As a commonly used nonspecific inflammatory marker, C-reactive protein (CRP) can predict metabolic syndrome, cardiovascular diseases, etc. However, little is known about CRP levels in longevity people. OBJECTIVES Investigate the distribution and correlates of CRP and provide a reference for the establishment of normal interval values in Chinese longevity people over 90 years of age. METHODS We performed a correlation analysis to evaluate the correlation between CRP levels and longevity based on the basic demographic characteristics, anthropometric measurements and blood data of 4,418 participants in the 2015 China Health and Retirement Longitudinal Study and 636 participants in an ongoing longitudinal study of natural longevity people in Guangxi. On this basis, the CRP reference interval for longevity was explored. RESULTS The CRP concentration was significantly different among the three age groups, with a median of 3.80 mg/L for those older than 90 years, which was significantly higher than that for those aged 45-64 years (median 1.20 mg/L, p < 0.001) and 65-89 years (median 1.30 mg/L, p < 0.001). Body mass index, waist circumference, the waist-to-height ratio, systolic blood pressure, diastolic blood pressure, and fasting and postprandial blood glucose, triglyceride, total cholesterol and low-density lipoprotein cholesterol levels were positively correlated with CRP levels, while fasting high-density lipoprotein cholesterol was negatively correlated with CRP levels. The CRP reference interval (RI) value in longevity people was 0.25-9.22 mg/L. CONCLUSION The concentrations of CRP increased with advancing age, and the CRP reference interval was different between older and younger adults.
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Affiliation(s)
- Danni Gao
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, PR China; Peking University Fifth School of Clinical Medicine (Beijing Hospital), Beijing, 100730, PR China
| | - Xiaolin Ni
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, PR China
| | - Sihang Fang
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, PR China
| | - Zhaoping Wang
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, PR China
| | - Juan Jiao
- Clinical Laboratory Department, The Seventh Medical Center, PLA General Hospital, Beijing, 100730, PR China
| | - Dizhi Liu
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, PR China
| | - Xiuqing Huang
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, PR China
| | - Mingjun Jiang
- Respiratory Department, Beijing Children's Hospital, Capital Medical University, China National Clinical Research Center of Respiratory Diseases, National Center for Children's Health, Beijing, 100045, PR China
| | - Qi Zhou
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, PR China
| | - Liang Sun
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, PR China
| | - Xiaoquan Zhu
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, PR China
| | - Huabin Su
- Jiangbin Hospital, Guangxi Zhuang Autonomous Region, 530021, PR China
| | - Rongqiao Li
- Jiangbin Hospital, Guangxi Zhuang Autonomous Region, 530021, PR China
| | - Bin Huang
- Jiangbin Hospital, Guangxi Zhuang Autonomous Region, 530021, PR China
| | - Yuan Lv
- Jiangbin Hospital, Guangxi Zhuang Autonomous Region, 530021, PR China
| | - Guofang Pang
- Jiangbin Hospital, Guangxi Zhuang Autonomous Region, 530021, PR China
| | - Caiyou Hu
- Jiangbin Hospital, Guangxi Zhuang Autonomous Region, 530021, PR China
| | - Ze Yang
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, PR China
| | - Huiping Yuan
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, PR China; Peking University Fifth School of Clinical Medicine (Beijing Hospital), Beijing, 100730, PR China.
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Dunk MM, Driscoll I. Total Cholesterol and APOE-Related Risk for Alzheimer's Disease in the Alzheimer's Disease Neuroimaging Initiative. J Alzheimers Dis 2022; 85:1519-1528. [PMID: 34958023 PMCID: PMC10442640 DOI: 10.3233/jad-215091] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND APOEɛ4 allele confers greatest genetic risk for Alzheimer's disease (AD), yet mechanisms underlying this risk remain elusive. APOE is involved in lipid metabolism, and literature suggest relationships between high total cholesterol, APOE, and AD. Further investigation is needed to elucidate the potential role of total cholesterol in AD risk. OBJECTIVE To investigate the relationship between total cholesterol and APOE-related AD risk in the Alzheimer's Disease Neuroimaging Initiative. METHODS Participants (N = 1,534) were classified as controls (cognitively normal; N = 404), early mild cognitive impairment (MCI; N = 294), late MCI (N = 539), or AD (N = 297). Total cholesterol levels were compared across APOE genotype and diagnosis. Mendelian randomization was performed to examine causality between total cholesterol and AD risk using APOE as a genetic instrument. RESULTS Total cholesterol was higher in APOE4+ compared to APOE3 and APOE2+ (ps < 0.04) carriers. Those with AD and late MCI (ps < 0.001) had higher total cholesterol than the control group. Comparing APOE4+ to APOE3 carriers, the predicted odds ratios per mg/dL greater total cholesterol were 1.11 for MCI (95% confidence interval, 1.04-7.32), 1.05 for early MCI (1.01-3.22), 1.13 for late MCI (1.05-11.70), 1.21 for AD (1.09-54.05), and 1.13 for composite dementia (MCI or AD; 1.06-11.59) (ps < 0.05, F-statistics > 10). CONCLUSION Higher total cholesterol may be a significant contributor to AD risk, particularly in APOE4 carriers who, based on existing literature, tend to have impaired cholesterol metabolism. Our findings highlight a possible mechanism by which APOE confers AD risk and indicate potential for AD risk modification through maintenance of healthy total cholesterol levels.
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Affiliation(s)
- Michelle M Dunk
- Department of Psychology, University of Wisconsin - Milwaukee, Milwaukee, WI, USA
| | - Ira Driscoll
- Department of Psychology, University of Wisconsin - Milwaukee, Milwaukee, WI, USA
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Variability in Cardiometabolic and Inflammatory Parameters and Cognitive Decline. Am J Prev Med 2021; 61:e181-e189. [PMID: 34144817 DOI: 10.1016/j.amepre.2021.04.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 03/22/2021] [Accepted: 04/09/2021] [Indexed: 11/21/2022]
Abstract
INTRODUCTION The relationship between variability in cardiometabolic and inflammatory parameters and cognitive changes is unknown. This study investigates the association of visit-to-visit variability in BMI, mean arterial pressure, total cholesterol, triglycerides, HbA1c, high-sensitivity C-reactive protein, ferritin, and fibrinogen with cognitive decline. METHODS This population-based cohort study included 2,260 individuals (mean age=63.0 [SD=7.5] years) free of cognitive diseases who underwent ≥3 clinical measurements from 2004 to 2019. Variability was expressed as variability independent of the mean across visits. Participants were divided on the basis of quartiles of variability score, a scoring system generated to explore the composite effect of parameter variability (range=0-24), where 0 points were assigned for Quartile 1, 1 point was assigned for Quartile 2, 2 points were assigned for Quartile 3, and 3 points were assigned for Quartile 4, each for the variability of 8 parameters measured as variability independent of the mean. Linear mixed models evaluated the longitudinal associations with cognitive decline in memory and verbal fluency. All analyses were conducted in 2020-2021. RESULTS Higher BMI, mean arterial pressure, total cholesterol, HbA1c, and ferritin variability were linearly associated with cognitive decline irrespective of their mean values. In addition, participants in the highest quartile of variability score had a significantly worse cognitive decline rate in memory (-0.0224 points/year, 95% CI= -0.0319, -0.0129) and verbal fluency (-0.0088 points/year, 95% CI= -0.0168, -0.0008) than those in the lowest quartile. CONCLUSIONS A higher variability in cardiometabolic and inflammatory parameters was significantly associated with cognitive decline. Stabilizing these parameters may serve as a target to preserve cognitive functioning.
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Abstract
PURPOSE OF REVIEW People over 90 are the fastest growing segment of the population with the highest rates of dementia. This review highlights recent findings that provide insight to our understanding of dementia and cognition at all ages. RECENT FINDINGS Risk factors for Alzheimer's disease (AD) and dementia differ by age, with some factors, like the development of hypertension, actually becoming protective in the oldest-old. At least half of all dementia in this age group is due to non AD pathologies, including microinfarcts, hippocampal sclerosis and TDP-43. The number of pathologic changes found in the brain is related to both risk and severity of dementia, but many people in this age group appear to be 'resilient' to these pathologies. Resilience to Alzheimer pathology, in part, may be related to absence of other pathologies, and imaging and spinal fluid biomarkers for AD have limited utility in this age group. SUMMARY Studies of dementia in the oldest-old are important for our understanding and eventual treatment or prevention of dementia at all ages.
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Affiliation(s)
- Claudia H. Kawas
- Department of Neurology and Department of Neurobiology & Behavior, University of California, Irvine, Irvine, California, USA
| | - Nienke Legdeur
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC and Department of Internal Medicine, Spaarne Gasthuis, Haarlem, the Netherlands
| | - María M. Corrada
- Department of Neurology and Department of Epidemiology, University of California, Irvine, Irvine, California, USA
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9
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The Controlling Nutritional Status score as a functional prognostic marker in patients with acute stroke: A multicenter retrospective cohort study. Nutrition 2020; 79-80:110889. [DOI: 10.1016/j.nut.2020.110889] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Revised: 05/01/2020] [Accepted: 05/07/2020] [Indexed: 11/21/2022]
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Harrison SL, Lang C, Whitehead C, Crotty M, Ratcliffe J, Wesselingh S, Inacio MC. Trends in Prevalence of Dementia for People Accessing Aged Care Services in Australia. J Gerontol A Biol Sci Med Sci 2020; 75:318-325. [PMID: 30873518 DOI: 10.1093/gerona/glz032] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2018] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Studies in some high-income countries have reported a potential decline in the prevalence of dementia. Improvements in cardiovascular health may be contributing to this decline. The objective was to examine trends in prevalence of dementia and survival with dementia for people accessing aged care in Australia. METHODS A retrospective study of older people who accessed long-term care 2008-2014 (n = 348,311) and home care 2005-2014 (n = 188,846) in Australia was developed. The age- and sex-standardized prevalence for dementia by year of access to aged care was determined using direct standardization. Generalized linear models were used to determine change in the prevalence of dementia over time and change in 1-year mortality for people who accessed long-term care. RESULTS The age- and sex-standardized prevalence (95% confidence interval) of dementia declined from 50.0% (49.6, 50.5) in 2008 to 46.6% (46.0, 47.2) in 2014 for people accessing long-term care (absolute change 2008-2014: -3.8 [-4.6, -3.1]) and for people accessing home care from 25.9% (25.0, 26.5) in 2005 to 20.9% (20.2, 21.7) in 2014 (absolute change 2005-2014: -5.2 [-6.2, -4.1]). This decline in dementia occurred in concurrence with a decline in cerebrovascular disease in long-term care but despite the prevalence of hypertension, diabetes, high cholesterol, malnutrition, obesity, depression, and head injury increasing. For people accessing long-term care, 1-year mortality remained stable over time. CONCLUSIONS The decline in prevalence of dementia for people accessing aged care services in Australia is critical to future projection estimates and for planning of services. Further research to determine contributing factors to the decline is needed.
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Affiliation(s)
- Stephanie L Harrison
- Registry of Older South Australians, Health Ageing Research Consortium, South Australian Health and Medical Research Institute, Adelaide, Australia.,Department of Rehabilitation, Aged and Extended Care, Flinders University, Rehabilitation Building, Flinders Medical Centre, Bedford Park, South Australia, Australia
| | - Catherine Lang
- Registry of Older South Australians, Health Ageing Research Consortium, South Australian Health and Medical Research Institute, Adelaide, Australia
| | - Craig Whitehead
- Department of Rehabilitation, Aged and Extended Care, Flinders University, Rehabilitation Building, Flinders Medical Centre, Bedford Park, South Australia, Australia
| | - Maria Crotty
- Department of Rehabilitation, Aged and Extended Care, Flinders University, Rehabilitation Building, Flinders Medical Centre, Bedford Park, South Australia, Australia
| | - Julie Ratcliffe
- Institute for Choice, University of South Australia, Adelaide, Australia
| | - Steve Wesselingh
- South Australian Health and Medical Research Institute, Adelaide, Australia
| | - Maria C Inacio
- Registry of Older South Australians, Health Ageing Research Consortium, South Australian Health and Medical Research Institute, Adelaide, Australia
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11
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Silverman JM, Schmeidler J, Lee PG, Alexander NB, Beeri MS, Guerrero-Berroa E, West RK, Sano M, Nabozny M, Rodriguez Alvarez C. Associations of hemoglobin A1c with cognition reduced for long diabetes duration. ALZHEIMERS & DEMENTIA-TRANSLATIONAL RESEARCH & CLINICAL INTERVENTIONS 2020; 5:926-932. [PMID: 31890856 PMCID: PMC6926347 DOI: 10.1016/j.trci.2019.11.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Introduction Associations of some risk factors with poor cognition, identified prior to age 75, are reduced or reversed in very old age. The Protected Survivor Model predicts this interaction due to enhanced survival of those with extended risk factor duration. In a younger sample, this study examines the association of cognition with the mean hemoglobin A1c risk factor over the time at risk, according to its duration. Methods The interaction of mean hemoglobin A1c (average = 9.8%), evaluated over duration (average = 116.8 months), was examined for overall cognition and three cognitive domains in a sample of 150 “young-old” veterans (mean age = 70) with type 2 diabetes. Results The predicted interactions were significant for overall cognition and attention, but not executive functions/language and memory. Discussion Findings extend the Protected Survivor Model to a “young-old” sample, from the very old. This model suggests focusing on individuals with good cognition despite prolonged high risk when seeking protective factors.
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Affiliation(s)
- Jeremy M. Silverman
- Research & Development, James J. Peters Veterans Affairs Medical Center, Bronx, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Corresponding author. Tel.: (718) 584-9000 x 1700; Fax: (718) 562-9120.
| | - James Schmeidler
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Pearl G. Lee
- Department of Internal Medicine and Division of Geriatric and Palliative Medicine, University of Michigan, Ann Arbor, MI, USA
- Veterans Affairs Ann Arbor Geriatric Research Education and Clinical Center, Veterans Affairs Ann Arbor Health Care System, Ann Arbor, MI, USA
| | - Neil B. Alexander
- Department of Internal Medicine and Division of Geriatric and Palliative Medicine, University of Michigan, Ann Arbor, MI, USA
- Veterans Affairs Ann Arbor Geriatric Research Education and Clinical Center, Veterans Affairs Ann Arbor Health Care System, Ann Arbor, MI, USA
| | - Michal Schnaider Beeri
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Ramat Gan, Israel
| | - Elizabeth Guerrero-Berroa
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychology, Lehman College, City University of New York, Bronx, NY, USA
| | - Rebecca K. West
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Mary Sano
- Research & Development, James J. Peters Veterans Affairs Medical Center, Bronx, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Martina Nabozny
- Department of Internal Medicine and Division of Geriatric and Palliative Medicine, University of Michigan, Ann Arbor, MI, USA
- Veterans Affairs Ann Arbor Geriatric Research Education and Clinical Center, Veterans Affairs Ann Arbor Health Care System, Ann Arbor, MI, USA
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12
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Lutski M, Weinstein G, Goldbourt U, Tanne D. Plasma Lipids, Apolipoproteins, and Subsequent Cognitive Decline in Men with Coronary Heart Disease. J Alzheimers Dis 2019; 67:827-837. [DOI: 10.3233/jad-180849] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Miri Lutski
- Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv, Israel
- The Israel Center for Disease Control, Israel Ministry of Health, Israel
| | - Galit Weinstein
- School of Public Health, Faculty of Social Welfare and Health Sciences, University of Haifa, Haifa, Israel
| | - Uri Goldbourt
- Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv, Israel
| | - David Tanne
- Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv, Israel
- Department of Neurology, Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv, Israel
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