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Ferguson EL, Zimmerman SC, Jiang C, Choi M, Meyers TJ, Hoffmann TJ, Gilsanz P, Wang J, Oni-Orisan A, Whitmer RA, Risch N, Krauss RM, Patel CJ, Schaefer CA, Glymour MM. Uncertainty in the estimated effects of statin initiation on risk of dementia: using a multiverse analysis to assess sources of variability. Eur J Epidemiol 2025:10.1007/s10654-025-01231-y. [PMID: 40317408 DOI: 10.1007/s10654-025-01231-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2025] [Accepted: 04/02/2025] [Indexed: 05/07/2025]
Abstract
Mixed evidence on how statins affect dementia risk may reflect variability in model specifications. Alternate specifications are rarely systematically compared. Using an emulated trial design framework, we investigated variation in the estimated effect of statin initiation on dementia across alternative (1) eligibility criteria, (2) confounding variable sets, and (3) outcome definitions. Kaiser Permanente Northern California members' linked electronic health records from 1996 to 2020 were used to identify statin initiation and dementia diagnoses. Statin initiators were matched on age and low-density lipoprotein cholesterol with up to 5 non-initiators. Possible covariates included clinical (n = 1.4 million); socioeconomic and behavioral (n = 265,224); and genetic (n = 69,573) variables. Using Cox proportional-hazards models, we estimated variation across 1.27 million intent-to-treat estimates for statin initiation varying specification of eligibility, outcome definition, and covariates. Estimated hazard ratios (HRs) for statin initiation on dementia across all specifications ranged from 0.93 to 1.47. The variance of estimates due to model specification differences was 7.6 times larger than the average variance of specific estimates due to finite sample size. Three modeling decisions notably attenuated coefficients [ln(HR)]: requiring a run-in period prior to the emulated trial start date (0.034); adjustment for diabetes (0.030) and cardiovascular disease (0.039); and excluding the first year of follow-up (0.041). HRs from models with all three specifications ranged from 0.99 to 1.15. No specification we evaluated consistently generated protective effects. Estimates of the association between statin initiation and dementia leveraging real world data are sensitive to model specification, especially decisions related to clinical covariates and time-at-risk.
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Affiliation(s)
- Erin L Ferguson
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Scott C Zimmerman
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, 94158, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Chen Jiang
- Kaiser Permanente Division of Research, Pleasanton, CA, 94588, USA
| | - Minhyuk Choi
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Travis J Meyers
- Kaiser Permanente Division of Research, Pleasanton, CA, 94588, USA
| | - Thomas J Hoffmann
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, 94158, USA
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, 94143, USA
| | - Paola Gilsanz
- Kaiser Permanente Division of Research, Pleasanton, CA, 94588, USA
| | - Jingxuan Wang
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Akinyemi Oni-Orisan
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, 94143, USA
- Department of Clinical Pharmacy, University of California, San Francisco, San Francisco, CA, 94143, USA
| | - Rachel A Whitmer
- Department of Public Health Sciences, University of California, Davis, Davis, CA, 95616, USA
| | - Neil Risch
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, 94158, USA
- Kaiser Permanente Division of Research, Pleasanton, CA, 94588, USA
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, 94143, USA
| | - Ronald M Krauss
- Departments of Pediatrics and Medicine, University of California, San Francisco, San Francisco, CA, 94143, USA
| | - Chirag J Patel
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, 02215, USA
| | | | - M Maria Glymour
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, 02118, USA.
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2
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Yu L, Liu W, Liao C, Shen N, Liu A, Cheng L, Wang X. The interaction between circadian syndrome and genetic susceptibility in the risk of incident dementia: A longitudinal cohort study. J Prev Alzheimers Dis 2025; 12:100089. [PMID: 39922757 DOI: 10.1016/j.tjpad.2025.100089] [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: 12/10/2024] [Revised: 01/21/2025] [Accepted: 01/31/2025] [Indexed: 02/10/2025]
Abstract
BACKGROUND Despite growing interest in circadian disturbances as potential triggers for dementia, the specific impact of circadian syndrome (CircS) on dementia incidence remains poorly understood. Moreover, the role of genetic susceptibility modulating these effects remains to be explored. METHODS Dementia-free participants from the UK Biobank cohort were included in the analysis. To evaluate the association between CircS and the incidence of dementia, as well as the modifying influence of genetic susceptibility on this relationship, Cox proportional hazards models were utilized. RESULTS During a median follow-up period of 14.55 years, 3,965 incident dementia cases were documented. CircS was found to significantly increased the risk of incident dementia, with a hazard ratio (HR) of 1.401 (95 % confidence interval [CI]: 1.296, 1.516). Compared to a CircS score of ≤3, mild CircS (HR: 1.259, 95 % CI: 1.146-1.383), moderate CircS (HR: 1.667, 95 % CI: 1.461-1.903), and severe CircS (HR: 2.028, 95 % CI: 1.397-2.944) were all significantly associated with an elevated risk of dementia. There were significant multiplicative interactions between CircS and genetic susceptibility (Pinteraction<0.001). Participants with both a high polygenic risk score (PRS) and CircS had the highest risk of incident dementia (HR: 2.551, 95 % CI: 2.169, 3.001), compared to those with a low PRS and no CircS. CONCLUSIONS CircS was associated with an increased risk of dementia, which might be aggravated by genetic susceptibility.
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Affiliation(s)
- Linling Yu
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Department of Public health, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Wei Liu
- Department of Public health, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Chenqi Liao
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Na Shen
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Anding Liu
- Experimental Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
| | - Liming Cheng
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
| | - Xiong Wang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
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3
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Du J, Baranova A, Cao H, Zhang F. Evaluating the causal effects of circulating metabolic biomarkers on Alzheimer's disease. Prog Neuropsychopharmacol Biol Psychiatry 2025; 138:111309. [PMID: 40037511 DOI: 10.1016/j.pnpbp.2025.111309] [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: 11/29/2024] [Revised: 02/12/2025] [Accepted: 03/01/2025] [Indexed: 03/06/2025]
Abstract
BACKGROUND The diagnosis and treatment of Alzheimer's disease (AD) is challenging due to the complexity of its pathogenesis. Although research suggests a link between circulating metabolites and AD, their causal relationship is not fully understood. METHODS Based on publicly available genome-wide association study data, we investigated the causative relationship between AD (7759 cases and 334,740 controls) and 233 traits describing circulating metabolites (136,016 participants) using a two-sample Mendelian randomization (MR) method. We adopted the inverse variance weighted approach as the priority and performed sensitivity analyses with MR-Egger intercept method and Cochran's Q test. RESULTS The overall causal effect of circulating metabolic traits on AD was significantly higher than the inverse effect (beta: 0.15 ± 0.42 vs. 0.04 ± 0.07; p < 0.05). A total of 72 circulating metabolic traits (odd ratio (OR): 1.16-2.48) had a significant positive causal effect on AD, while a total of 16 circulating metabolic traits with significant negative causal effects on AD were detected (OR: 0.38-0.88). AD had a significant positive causal effect (OR: 1.02-1.17) on 142 circulating metabolic traits and a negative causal effect (OR: 0.87-0.99) on 43 circulating metabolic traits. Circulating metabolites that have a bi-directional causative relationship with AD mainly include apolipoprotein B levels, total cholesterol levels, total triglycerides levels, and omega-6 fatty acids levels. CONCLUSION The causative relationship between AD and the circulating metabolic traits is complex and bidirectional. Analyzing metabolites causally involved in the development of AD may provide clues for identifying preventive and therapeutic targets for this disorder.
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Affiliation(s)
- Jianbin Du
- Department of Geriatric Psychiatry, The Affiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, Jiangsu 214151, China.
| | - Ancha Baranova
- School of Systems Biology, George Mason University, Fairfax, VA 22030, USA; Research Centre for Medical Genetics, Moscow 115478, Russia
| | - Hongbao Cao
- School of Systems Biology, George Mason University, Fairfax, VA 22030, USA
| | - Fuquan Zhang
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China; Institute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China.
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4
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Hu H, Mao J, Zhao Y, Zhang Y, Zhuang C, He JH, Yang X. Assessing the causal role of lipid metabolites in Alzheimer's disease: A mendelian randomization study. J Prev Alzheimers Dis 2025; 12:100067. [PMID: 39855965 DOI: 10.1016/j.tjpad.2025.100067] [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: 09/30/2024] [Revised: 12/02/2024] [Accepted: 01/11/2025] [Indexed: 01/27/2025]
Abstract
BACKGROUND The causal relationship between lipid metabolites and Alzheimer's disease (AD) remains unclear and contradictory. This study aimed to systematically assess the causal relationship between lipid metabolites and AD. METHODS A two-step bidirectional Mendelian Randomization (MR) study was employed. The principal analytical technique used to evaluate causation was inverse variance weighting (IVW). Furthermore, mediation analysis was conducted to evaluate the possible function of lipidomes as mediators in the lipid-AD pathway. RESULTS Among the 213 lipid metabolites analyzed, significant causal associations with AD were identified Cholesterol esters in large LDL(L-LDL-CE) (OR = 1.236, 95 %CI = 1.052-1.453, P = 0.010), Total cholesterol in large LDL(L-LDL-TC) (OR = 1.506, 95 %CI = 1.235-1.835, P < 0.001), Total cholesterol in medium LDL(M-LDL-TC) (OR = 1.378, 95 %CI = 1.132-1.677, P = 0.001). Mediation analysis further revealed ceramide (d42:2) and phosphatidylinositol (PI) (18:1_18:1) as potential mediators in this relationship. CONCLUSION The identification of specific lipid metabolites with causal effects on AD provides new insights into AD pathogenesis and highlights potential targets for preventive strategies.
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Affiliation(s)
- Haoxiang Hu
- Postgraduate training base Alliance of Wenzhou Medical University, Third Affiliated Hospital of Shanghai University, Wenzhou People's Hospital, Wenzhou 325000, China
| | - Jiesheng Mao
- Postgraduate training base Alliance of Wenzhou Medical University, Third Affiliated Hospital of Shanghai University, Wenzhou People's Hospital, Wenzhou 325000, China
| | - Yunhan Zhao
- Postgraduate training base Alliance of Wenzhou Medical University, Third Affiliated Hospital of Shanghai University, Wenzhou People's Hospital, Wenzhou 325000, China
| | - Yihan Zhang
- Postgraduate training base Alliance of Wenzhou Medical University, Third Affiliated Hospital of Shanghai University, Wenzhou People's Hospital, Wenzhou 325000, China
| | - Caixiang Zhuang
- Postgraduate training base Alliance of Wenzhou Medical University, Third Affiliated Hospital of Shanghai University, Wenzhou People's Hospital, Wenzhou 325000, China
| | - Jiang Hai He
- Postgraduate training base Alliance of Wenzhou Medical University, Third Affiliated Hospital of Shanghai University, Wenzhou People's Hospital, Wenzhou 325000, China
| | - Xiaokai Yang
- Postgraduate training base Alliance of Wenzhou Medical University, Third Affiliated Hospital of Shanghai University, Wenzhou People's Hospital, Wenzhou 325000, China.
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5
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Myśliwiec H, Kozłowska D, Hodun K, Łukaszuk B, Owczarczyk-Saczonek A, Chabowski A, Flisiak I. Apolipoproteins in Psoriasis: The Effect of Acitretin Treatment and UVB Phototherapy. Metabolites 2025; 15:196. [PMID: 40137160 PMCID: PMC11944098 DOI: 10.3390/metabo15030196] [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: 02/09/2025] [Revised: 03/09/2025] [Accepted: 03/10/2025] [Indexed: 03/27/2025] Open
Abstract
BACKGROUND Psoriasis is a chronic, multi-system inflammatory disease frequently associated with metabolic syndrome and lipid disturbances. Apolipoproteins, as essential regulators of lipid metabolism, may play a critical role in these metabolic abnormalities, potentially influencing disease severity and systemic inflammation. The aim of this study was to compare serum concentrations of chosen apolipoproteins in patients with psoriasis before and after treatment with acitretin or narrowband UVB (NB-UVB). METHODS This study was conducted on 39 patients with psoriasis. The concentration of nine apolipoproteins and C-reactive protein was quantified using the Bio-Plex Immunoassay Kit. RESULTS The serum concentrations of ApoA2, ApoC1, ApoD, ApoE, and ApoJ were higher in the acitretin group compared to the NB-UVB group before treatment, while the ApoA1/ApoA2 ratio was lower. We also observed a negative association between the Psoriasis Area and Severity Index (PASI) and ApoA1/ApoA2 ratio in the patients before the treatment. CONCLUSIONS The results of this study confirm the presence of metabolic disturbances in psoriatic patients. The treatment with NB-UVB or acitretin did not cause any significant changes in the apolipoproteins profile. Thus, we found no detrimental impact of acitretin on the apolipoproteins profile, despite the observed rise in total cholesterol concentration after the treatment. Further research is needed to explore whether specific therapeutic approaches can modify these disturbances and potentially improve long-term cardiovascular outcomes in this population.
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Affiliation(s)
- Hanna Myśliwiec
- Department of Dermatology and Venereology, Medical University of Bialystok, 15-540 Bialystok, Poland
| | - Dorota Kozłowska
- Department of Dermatology and Venereology, Medical University of Bialystok, 15-540 Bialystok, Poland
| | - Katarzyna Hodun
- Department of Physiology, Medical University of Bialystok, 15-222 Bialystok, Poland; (K.H.); (B.Ł.); (A.C.)
| | - Bartłomiej Łukaszuk
- Department of Physiology, Medical University of Bialystok, 15-222 Bialystok, Poland; (K.H.); (B.Ł.); (A.C.)
| | - Agnieszka Owczarczyk-Saczonek
- Department of Dermatology, Sexually Transmitted Diseases and Clinical Immunology, The University of Warmia and Mazury, 10-719 Olsztyn, Poland
| | - Adrian Chabowski
- Department of Physiology, Medical University of Bialystok, 15-222 Bialystok, Poland; (K.H.); (B.Ł.); (A.C.)
| | - Iwona Flisiak
- Department of Dermatology and Venereology, Medical University of Bialystok, 15-540 Bialystok, Poland
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Maxwell CB, Bhakta N, Denniff MJ, Sandhu JK, Kessler T, Ng LL, Jones DJ, Webb TR, Morris GE. Deep plasma and tissue proteome profiling of knockout mice reveals pathways associated with Svep1 deficiency. JOURNAL OF MOLECULAR AND CELLULAR CARDIOLOGY PLUS 2025; 11:100283. [PMID: 39895831 PMCID: PMC11782998 DOI: 10.1016/j.jmccpl.2025.100283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/25/2024] [Revised: 12/26/2024] [Accepted: 01/09/2025] [Indexed: 02/04/2025]
Abstract
Despite strong causal associations with cardiovascular and metabolic disorders including coronary artery disease, hypertension, and type 2 diabetes, as well as a range of other diseases, the exact function of the protein SVEP1 remains largely unknown. Animal models have been employed to investigate how SVEP1 contributes to disease, with a focus on murine models exploring its role in development, cardiometabolic disease and platelet biology. In this study, we aimed to comprehensively phenotype the proteome of Svep1 +/- mice compared to wild-type (WT) littermates using liquid chromatography-tandem mass spectrometry (LC-MS/MS) bottom-up proteomics in plasma, heart, aorta, lung, and kidney to identify dysregulated pathways and biological functions associated with Svep1 deficiency. Our findings reveal that Svep1 deficiency leads to significant proteomic alterations across the mouse, with the highest number of dysregulated proteins observed in plasma and kidney. Key dysregulated proteins in plasma include upregulation of ADGRV1, CDH1, and MYH6, and downregulation of MTIF2 and AKAP13 which, alongside other proteins dysregulated across tissues, indicate disruption in cell adhesion, extracellular matrix organisation, platelet degranulation, and Rho GTPase pathways. Novel findings include significant enrichment of complement cascades in plasma, suggesting dysregulation of innate immune responses and hemostasis due to Svep1 deficiency. Pathways related to chylomicron assembly and lipid metabolism were also enriched. Additionally, we developed a high-throughput quantitative targeted LC-MS/MS assay to measure endogenous levels of murine SVEP1. SVEP1 was detectable in lung homogenate and showed a significant reduction in SVEP1 levels in Svep1 +/- vs. WT, but was not identified in plasma, heart, aorta, or kidney, likely due to expression levels below the assay's detection limit. Overall, this deep phenotyping study provides insight into the systemic impact of Svep1 deficiency.
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Affiliation(s)
- Colleen B. Maxwell
- Department of Cardiovascular Sciences and NIHR Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester LE3 9QP, UK
- Leicester van Geest multiOMICS Facility, Hodgkin Building, University of Leicester, Leicester LE1 9HN, UK
| | - Nikita Bhakta
- Department of Cardiovascular Sciences and NIHR Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester LE3 9QP, UK
- Leicester van Geest multiOMICS Facility, Hodgkin Building, University of Leicester, Leicester LE1 9HN, UK
| | - Matthew J. Denniff
- Department of Cardiovascular Sciences and NIHR Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester LE3 9QP, UK
| | - Jatinderpal K. Sandhu
- Department of Cardiovascular Sciences and NIHR Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester LE3 9QP, UK
- Leicester van Geest multiOMICS Facility, Hodgkin Building, University of Leicester, Leicester LE1 9HN, UK
| | - Thorsten Kessler
- Department of Cardiology, German Heart Centre Munich, Technical University of Munich, 80636 Munich, Germany
| | - Leong L. Ng
- Department of Cardiovascular Sciences and NIHR Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester LE3 9QP, UK
- Leicester van Geest multiOMICS Facility, Hodgkin Building, University of Leicester, Leicester LE1 9HN, UK
| | - Donald J.L. Jones
- Department of Cardiovascular Sciences and NIHR Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester LE3 9QP, UK
- Leicester van Geest multiOMICS Facility, Hodgkin Building, University of Leicester, Leicester LE1 9HN, UK
- Leicester Cancer Research Centre, RKCSB, University of Leicester, Leicester LE2 7LX, UK
| | - Tom R. Webb
- Department of Cardiovascular Sciences and NIHR Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester LE3 9QP, UK
| | - Gavin E. Morris
- Department of Cardiovascular Sciences and NIHR Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester LE3 9QP, UK
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7
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Zhao X, Xu X, Wang S, Zhang X, Zheng R, Wang K, Xiang Y, Wang T, Zhao Z, Li M, Zheng J, Xu M, Lu J, Bi Y, Xu Y. Heterogeneous blood pressure treatment effects on cognitive decline in type 2 diabetes: A machine learning analysis of a randomized clinical trial. Diabetes Obes Metab 2025; 27:1432-1443. [PMID: 39723470 DOI: 10.1111/dom.16145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2024] [Revised: 11/28/2024] [Accepted: 12/10/2024] [Indexed: 12/28/2024]
Abstract
AIM We aimed to identify the characteristics of patients with diabetes who can derive cognitive benefits from intensive blood pressure (BP) treatment using machine learning methods. MATERIALS AND METHODS Using data from the Action to Control Cardiovascular Risk in Diabetes Memory in Diabetes (ACCORD-MIND) study, 1349 patients with type 2 diabetes who underwent BP treatment (intensive treatment targeting a systolic BP <120 mmHg vs. standard treatment targeting <140 mmHg) were included in the machine learning analysis. Seventy-nine variables correlated with diabetes and cognitive function were used to build the causal forest and causal tree models for identifying heterogeneous BP treatment effects on cognitive decline. RESULTS Our analyses identified four variables including urinary albumin-to-creatinine ratio (UACR, mg/g), Framingham 10-year cardiovascular risk score (FRS, %), triglycerides (TG, mmol/L) and diabetes duration, that categorized the participants into five subgroups with different risk benefits for cognitive decline from BP treatments. Subgroup 1 (UACR ≥65 mg/g) had an absolute risk reduction (ARR) of 15.36% (95% CI, 5.01%-25.46%) from intensive versus standard BP treatment (hazard ratio [HR], 0.36; 95% CI, 0.18-0.73). Subgroup 2 (UACR <65 mg/g, FRS ≥26%, TG <2.3 mmol/L and diabetes duration ≥9 years) had an ARR of 14.74% (95% CI, 4.56%-24.59%) from intensive versus standard BP treatment (HR, 0.34; 95% CI, 0.15-0.77). No significant benefits were found for other subgroups. CONCLUSIONS Patients with type 2 diabetes with high UACR, or with low UACR and low TG, but high predicted cardiovascular risk and long diabetes duration were likely to derive cognitive benefits from intensive BP treatment.
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Affiliation(s)
- Xuan Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- National Clinical Research Center for Metabolic Diseases (Shanghai), Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, National Research Center for Translational Medicine, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Xiaoli Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- National Clinical Research Center for Metabolic Diseases (Shanghai), Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, National Research Center for Translational Medicine, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Siyu Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- National Clinical Research Center for Metabolic Diseases (Shanghai), Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, National Research Center for Translational Medicine, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Xiaoyun Zhang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- National Clinical Research Center for Metabolic Diseases (Shanghai), Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, National Research Center for Translational Medicine, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Ruizhi Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- National Clinical Research Center for Metabolic Diseases (Shanghai), Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, National Research Center for Translational Medicine, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Kan Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- National Clinical Research Center for Metabolic Diseases (Shanghai), Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, National Research Center for Translational Medicine, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yu Xiang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- National Clinical Research Center for Metabolic Diseases (Shanghai), Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, National Research Center for Translational Medicine, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- National Clinical Research Center for Metabolic Diseases (Shanghai), Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, National Research Center for Translational Medicine, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- National Clinical Research Center for Metabolic Diseases (Shanghai), Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, National Research Center for Translational Medicine, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- National Clinical Research Center for Metabolic Diseases (Shanghai), Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, National Research Center for Translational Medicine, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jie Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- National Clinical Research Center for Metabolic Diseases (Shanghai), Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, National Research Center for Translational Medicine, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- National Clinical Research Center for Metabolic Diseases (Shanghai), Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, National Research Center for Translational Medicine, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- National Clinical Research Center for Metabolic Diseases (Shanghai), Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, National Research Center for Translational Medicine, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- National Clinical Research Center for Metabolic Diseases (Shanghai), Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, National Research Center for Translational Medicine, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- National Clinical Research Center for Metabolic Diseases (Shanghai), Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, National Research Center for Translational Medicine, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
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8
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Tian F, Wang Y, Wei S, Zhang C, Wu G, Zhang Z, Ai B, Wang X, Wang C, Lin H. Post-cardiovascular disease healthy lifestyle, inflammation and metabolic biomarkers, and risk of dementia: a population-based longitudinal study. Am J Clin Nutr 2025; 121:511-521. [PMID: 40044393 DOI: 10.1016/j.ajcnut.2024.09.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 08/14/2024] [Accepted: 09/12/2024] [Indexed: 05/13/2025] Open
Abstract
BACKGROUND Cardiovascular disease (CVD) is associated with an increased risk of dementia, but the impact of healthy lifestyle on post-CVD dementia remains unclear. OBJECTIVES The aim of this study was to explore the association between post-CVD healthy lifestyle factors and risk of dementia. We further examined whether inflammation and metabolic biomarkers played a role in this association. METHODS This prospective cohort study included 77,324 dementia-free participants with prevalent CVD from the UK Biobank. We constructed the lifestyle score based on no current smoking, moderate alcohol consumption, regular physical activity, healthy diet, adequate sleep duration, less sedentary behavior, and frequent social contact. Cox proportional hazard models were performed to examine the association of healthy lifestyle with risk of CVD-related dementia. Mediation models were fitted to investigate the underlying mechanisms driven by systemic inflammation, lipid profiles, liver/renal function, and blood pressure indices. RESULTS Over a median follow-up of 12.43 y, 1605 all-cause dementia (ACD) cases were documented, including 646 Alzheimer's dementia (AD) cases and 427 vascular dementia (VaD) cases. Healthy lifestyle scores were significantly associated with lower risk of dementia. The hazard ratios and 95% confidence intervals for the participants with 6-7 healthy lifestyle score were 0.50 (0.40, 0.62) for ACD, 0.80 (0.58, 1.10) for AD, and 0.30 (0.19, 0.48) for VaD, compared their counterpart with 0-1 score. Low-grade inflammatory markers and specific metabolic biomarkers were detected to significantly mediated the observed associations, explaining 1%∼11% of the associations of healthy lifestyle factors with dementia risk. CONCLUSIONS Adherence to healthy lifestyle behaviors is significantly associated with a lower risk of dementia in individuals with CVD. The observed associations may be partly explained by a reduction in systemic inflammation and the promotion of metabolic balance.
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Affiliation(s)
- Fei Tian
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yuhua Wang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Shengtao Wei
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Chaoling Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Gan Wu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Zilong Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Baozhuo Ai
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Xiaojie Wang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
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9
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Ferguson EL, Krauss RM, Schaefer CA. Cholesterol Variability and Dementia Risk: Finding Meaning in the Ups and Downs. Neurology 2025; 104:e213355. [PMID: 39879574 DOI: 10.1212/wnl.0000000000213355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2024] [Accepted: 12/13/2024] [Indexed: 01/31/2025] Open
Affiliation(s)
- Erin L Ferguson
- Department of Epidemiology and Biostatistics, University of California, San Francisco
| | - Ronald M Krauss
- Department of Pediatrics and Medicine, University of California, San Francisco; and
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10
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Gao S, Wang Z, Huang Y, Yang G, Wang Y, Yi Y, Zhou Q, Jian X, Zhao G, Li B, Xu L, Xia K, Tang B, Li J. Early detection of Parkinson's disease through multiplex blood and urine biomarkers prior to clinical diagnosis. NPJ Parkinsons Dis 2025; 11:35. [PMID: 39994191 PMCID: PMC11850829 DOI: 10.1038/s41531-025-00888-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2024] [Accepted: 02/06/2025] [Indexed: 02/26/2025] Open
Abstract
Blood and urine biomarkers are commonly used to diagnose and monitor chronic diseases. We initially screened 67 biomarkers, including 4 urine biomarkers and 63 blood biomarkers, and identified 13 blood biomarkers significantly associated with Parkinson's disease (PD). Among these, we discovered three novel markers demonstrating strong associations: phosphate (P = 1.81 × 10-3), AST/ALT ratio (P = 8.53 × 10-6), and immature reticulocyte fraction (IRF) (P = 3.49 × 10-20). We also substantiated eight well-studied biomarkers and elucidated the roles of two previously ambiguous biomarkers. Our analyses confirmed IGF-1 (P = 7.46 × 10-29) as a risk factor, and C-reactive protein (CRP) (P = 1.43 × 10-3) as protective against PD. Genetic analysis highlighted that IRF, CRP, and IGF-1 share significant genetic loci with PD, notably at MAPT, SETD1A, HLA-DRB1, and HLA-DQA1. Furthermore, Mendelian randomization (MR) analysis suggested potential causal associations between IGF-1, CRP, and PD. We identified several blood biomarkers that may be associated with the risk of developing PD, providing valuable insights for further exploration of PD-related biomarkers.
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Affiliation(s)
- Shuo Gao
- National Clinical Research Center for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
- Bioinformatics Center, Xiangya Hospital & Furong Laboratory, Central South University, Changsha, 410008, Hunan, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China
| | - Zheng Wang
- National Clinical Research Center for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
- Bioinformatics Center, Xiangya Hospital & Furong Laboratory, Central South University, Changsha, 410008, Hunan, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China
- Hunan Key Laboratory of Molecular Precision Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China
| | - Yuanfeng Huang
- National Clinical Research Center for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
- Bioinformatics Center, Xiangya Hospital & Furong Laboratory, Central South University, Changsha, 410008, Hunan, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China
| | - Guang Yang
- National Clinical Research Center for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Yijing Wang
- National Clinical Research Center for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
- Bioinformatics Center, Xiangya Hospital & Furong Laboratory, Central South University, Changsha, 410008, Hunan, China
| | - Yan Yi
- Bioinformatics Center, Xiangya Hospital & Furong Laboratory, Central South University, Changsha, 410008, Hunan, China
| | - Qiao Zhou
- National Clinical Research Center for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Xingxing Jian
- National Clinical Research Center for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
- Bioinformatics Center, Xiangya Hospital & Furong Laboratory, Central South University, Changsha, 410008, Hunan, China
| | - Guihu Zhao
- National Clinical Research Center for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
- Bioinformatics Center, Xiangya Hospital & Furong Laboratory, Central South University, Changsha, 410008, Hunan, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China
| | - Bin Li
- National Clinical Research Center for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
- Bioinformatics Center, Xiangya Hospital & Furong Laboratory, Central South University, Changsha, 410008, Hunan, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China
| | - Linyong Xu
- Hunan Provincial Key Laboratory of Oral Health Research & Xiangya Stomatological Hospital & Xiangya School of Stomatology, Central South University, Changsha, China
| | - Kun Xia
- National Clinical Research Center for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Beisha Tang
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China
| | - Jinchen Li
- National Clinical Research Center for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China.
- Bioinformatics Center, Xiangya Hospital & Furong Laboratory, Central South University, Changsha, 410008, Hunan, China.
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
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11
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Ferguson EL, Zimmerman SC, Jiang C, Choi M, Meyers TJ, Hoffmann TJ, Gilsanz P, Oni‐Orisan A, Wang J, Whitmer RA, Risch N, Krauss RM, Schaefer CA, Glymour MM. Independent associations of high-density lipoprotein cholesterol and triglyceride levels with Alzheimer's disease and related dementias. Alzheimers Dement 2025; 21:e14575. [PMID: 40008914 PMCID: PMC11863358 DOI: 10.1002/alz.14575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 12/18/2024] [Accepted: 01/03/2025] [Indexed: 02/27/2025]
Abstract
INTRODUCTION We evaluated the independent associations between high-density lipoprotein cholesterol (HDL-C) and triglyceride (TG) levels with Alzheimer's disease and related dementias (ADRD). METHODS Among 177,680 members of Kaiser Permanente Northern California who completed a survey on health risks, we residualized TGs and HDL-C conditional on age, sex, and body mass index. We included these residuals individually and concurrently in Cox models predicting ADRD incidence. RESULTS Low (hazard ratio [HR] 1.06, 95% confidence interval [CI] 1.02-1.10) and high quintiles (HR 1.07, 95% CI 1.03-1.12) of HDL-C residuals were associated with an increased risk of ADRD compared to the middle quintile. Additional adjustment for TGs attenuated the association with high HDL-C (HR 1.03, 95% CI 0.99-1.08). Low TG residuals were associated with an increased ADRD risk (HR 1.10, 95% CI 1.06-1.15); high TG residuals were protective (HR 0.92, 95% CI 0.88-0.96). These estimates were unaffected by HDL-C adjustment. DISCUSSION Low HDL-C and TG levels are independently associated with increased ADRD risk. The correlation with low TG level explains the association of high HDL-C with ADRD. HIGHLIGHTS Strong correlations between lipid levels are important considerations when investigating lipids as late-life risk factors for Alzheimer's disease and related dementias (ADRD). Low levels of high-density lipoprotein cholesterol (HDL-C) and triglycerides (TGs) were independently associated with an increased risk of ADRD. We found no evidence for an association between high HDL-C and increased ADRD risk after adjustment for TGs. High levels of TGs were consistently associated with a decreased risk of ADRD. There may be interaction between TG and HDL-C levels, where both low HDL-C and TG levels increase the risk of ADRD compared to average levels of both.
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Affiliation(s)
- Erin L. Ferguson
- Department of Epidemiology and BiostatisticsUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Scott C. Zimmerman
- Department of Epidemiology and BiostatisticsUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Chen Jiang
- Kaiser Permanente Division of ResearchPleasantonCaliforniaUSA
| | - Minhyuk Choi
- Department of Epidemiology and BiostatisticsUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | | | - Thomas J. Hoffmann
- Department of Epidemiology and BiostatisticsUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
- Institute for Human GeneticsUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Paola Gilsanz
- Kaiser Permanente Division of ResearchPleasantonCaliforniaUSA
| | - Akinyemi Oni‐Orisan
- Institute for Human GeneticsUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
- Department of Clinical PharmacyUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Jingxuan Wang
- Department of Epidemiology and BiostatisticsUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Rachel A. Whitmer
- Department of Public Health SciencesUniversity of California, DavisDavisCaliforniaUSA
| | - Neil Risch
- Department of Epidemiology and BiostatisticsUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
- Kaiser Permanente Division of ResearchPleasantonCaliforniaUSA
- Institute for Human GeneticsUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Ronald M. Krauss
- Departments of Pediatrics and MedicineUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | | | - M. Maria Glymour
- Department of EpidemiologyBoston University School of Public HealthBostonMassachusettsUSA
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12
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Su B, He Z, Mao L, Huang X. The causal role of lipids in dementia: A Mendelian randomization study. J Alzheimers Dis Rep 2025; 9:25424823241312106. [PMID: 40034502 PMCID: PMC11864250 DOI: 10.1177/25424823241312106] [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: 07/15/2024] [Accepted: 11/26/2024] [Indexed: 03/05/2025] Open
Abstract
Background Increasing evidence suggests that abnormal lipid metabolism is one of the pathogeneses of dementia. It is necessary to reveal the relationship between lipids and dementia. Objective This study used bidirectional two-sample Mendelian randomization to explore the causal relationship between 179 lipid species and the risk of dementia. Methods We assessed the causal effects of 179 lipid species and four subtypes of dementia including Alzheimer's disease (AD), vascular dementia (VaD), frontotemporal dementia (FTD), and dementia with Lewy bodies (DLB). Inverse variance weighting, MR-Egger method, weighted median, simple mode, and weighted mode were used to analyze the relationship between lipids and dementia. Cochran's Q, MR-Egger intercept test, and MR-PRESSO test were used to test the heterogeneity and pleiotropy of the results. In addition, we performed an inverse MR analysis testing the causal effects of dementia on lipids. Results Our study revealed causal effects of glycerophospholipid, glycerolipid, and sterol on the risk of dementia. Phosphatidylcholine, phosphatidylinositol, and triglycerides play significant roles in AD. Notably, phosphatidylcholine played a protective role in both FTD and DLB. However, this study did not observe a significant effect of phosphatidylinositol on FTD. In the case of VaD, not only glycerophospholipid, but also glycerolipid, exerted an influence, but sterol was also a risk factor. Conclusions Our study provided new evidence supporting the causal role of genetically predicted lipid species in dementia. Future clinical trials are necessary to evaluate the potential role of lipid levels in dementia prevention.
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Affiliation(s)
- Boyang Su
- Medical School of Chinese PLA, Beijing, China
- Neurological Department of the First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Zhengqing He
- Department of Neurology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Li Mao
- Neurological Department of the First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Xusheng Huang
- Medical School of Chinese PLA, Beijing, China
- Neurological Department of the First Medical Center, Chinese PLA General Hospital, Beijing, China
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13
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Escarcega RD, M J VK, Kyriakopoulos VE, Ortiz GJ, Gusdon AM, Fan H, Peesh P, Blasco Conesa MP, Colpo GD, Ahnstedt HW, Couture L, Kim SH, Hinojosa M, Farrell CM, Marrelli SP, Urayama A, Ganesh BP, Schulz PE, McCullough LD, Tsvetkov AS. Serum metabolome profiling in patients with mild cognitive impairment reveals sex differences in lipid metabolism. Neurobiol Dis 2025; 204:106747. [PMID: 39617329 DOI: 10.1016/j.nbd.2024.106747] [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: 06/16/2024] [Revised: 11/20/2024] [Accepted: 11/21/2024] [Indexed: 12/10/2024] Open
Abstract
Alzheimer's disease (AD) affects more women than men. Although women live longer than men, it is not longevity alone, but other factors, including metabolic changes, that contribute to the higher risk of AD in women. Metabolic pathways have been implicated in AD progression, but studies to date examined targeted pathways, leaving many metabolites unmeasured. Sex is often a neglected biological variable, and most metabolomic studies were not designed to investigate sex differences in metabolomic profiles. Here, we performed untargeted metabolomic profiling of sera from male and female patients with mild cognitive impairment (MCI), a common precursor to AD, and matched controls. We discovered significant metabolic changes in individuals with MCI, and found several pathways that were strongly associated with sex. Peptide energy metabolism demonstrated sexual dimorphism. Lipid pathways exhibited the strongest differences between female and male MCI patients, including specific phosphatidylcholine lipids, lysophospholipids, long-chain fatty acids, and monoacylglycerols. 1-palmitoleoyl glycerol and 1-arachidonoyl glycerol were higher in female MCI subjects than in male MCI subjects with no differences between control males and females. Conversely, specific dicarboxylic fatty acids were lower in female MCI subjects than male MCI subjects. In cultured astrocytes, 1-arachidonoyl glycerol promoted phosphorylation of the transcriptional regulator sphingosine kinase 2, which was inhibited by the transient receptor potential vanilloid 1 receptor antagonists, as well as chromatin remodelling. Overall, we identified novel sex-specific metabolites in MCI patients that could serve as biomarkers of MCI in both sexes, help further define AD etiology, and reveal new potential prevention strategies for AD.
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Affiliation(s)
- Rocio Diaz Escarcega
- Department of Neurology, the University of Texas McGovern Medical School at Houston, TX, USA
| | - Vijay Kumar M J
- Department of Neurology, the University of Texas McGovern Medical School at Houston, TX, USA
| | - Vasilia E Kyriakopoulos
- Department of Neurology, the University of Texas McGovern Medical School at Houston, TX, USA
| | - Guadalupe J Ortiz
- Department of Neurology, the University of Texas McGovern Medical School at Houston, TX, USA
| | - Aaron M Gusdon
- Department of Neurosurgery, the University of Texas McGovern Medical School at Houston, TX, USA
| | - Huihui Fan
- Department of Neurology, the University of Texas McGovern Medical School at Houston, TX, USA
| | - Pedram Peesh
- Department of Neurology, the University of Texas McGovern Medical School at Houston, TX, USA
| | - Maria P Blasco Conesa
- Department of Neurology, the University of Texas McGovern Medical School at Houston, TX, USA
| | - Gabriela Delevati Colpo
- Department of Neurology, the University of Texas McGovern Medical School at Houston, TX, USA
| | - Hilda W Ahnstedt
- Department of Neurology, the University of Texas McGovern Medical School at Houston, TX, USA
| | - Lucy Couture
- Department of Neurology, the University of Texas McGovern Medical School at Houston, TX, USA
| | - Stella H Kim
- Department of Neurology, the University of Texas McGovern Medical School at Houston, TX, USA; The University of Texas Graduate School of Biomedical Sciences, Houston, TX, USA
| | - Miriam Hinojosa
- Department of Neurology, the University of Texas McGovern Medical School at Houston, TX, USA
| | - Christine M Farrell
- Department of Neurology, the University of Texas McGovern Medical School at Houston, TX, USA
| | - Sean P Marrelli
- Department of Neurology, the University of Texas McGovern Medical School at Houston, TX, USA
| | - Akihiko Urayama
- Department of Neurology, the University of Texas McGovern Medical School at Houston, TX, USA
| | - Bhanu P Ganesh
- Department of Neurology, the University of Texas McGovern Medical School at Houston, TX, USA
| | - Paul E Schulz
- Department of Neurology, the University of Texas McGovern Medical School at Houston, TX, USA
| | - Louise D McCullough
- Department of Neurology, the University of Texas McGovern Medical School at Houston, TX, USA; The University of Texas Graduate School of Biomedical Sciences, Houston, TX, USA
| | - Andrey S Tsvetkov
- Department of Neurology, the University of Texas McGovern Medical School at Houston, TX, USA; The University of Texas Graduate School of Biomedical Sciences, Houston, TX, USA; UTHealth Consortium on Aging, the University of Texas McGovern Medical School, Houston, TX, USA.
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14
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Iga JI, Yoshino Y, Ozaki T, Tachibana A, Kumon H, Funahashi Y, Mori H, Ueno M, Ozaki Y, Yamazaki K, Ochi S, Yamashita M, Ueno SI. Blood RNA transcripts show changes in inflammation and lipid metabolism in Alzheimer's disease and mitochondrial function in mild cognitive impairment. J Alzheimers Dis Rep 2024; 8:1690-1703. [PMID: 40034360 PMCID: PMC11863738 DOI: 10.1177/25424823241307878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2024] [Accepted: 11/27/2024] [Indexed: 03/05/2025] Open
Abstract
Background Abnormal immunity in the periphery has been reported in the pathogenesis of Alzheimer's disease (AD). Objective In this study, blood transcriptome analyses of patients with AD, those with mild cognitive impairment (MCI) due to AD, and heathy controls were performed to elucidate immune-related pathophysiology. Methods The sample included 63 participants from a complete enumeration study of elderly people in Nakayama town (the Nakayama Study), who were over 65 years of age, diagnosed as (1) healthy controls (N = 21, mean age: 83.8 years), (2) having MCI due to AD (N = 20, mean age: 82.6 years), or (3) having AD (N = 21, mean age: 84.2 years). Every participant underwent blood tests, magnetic resonance imaging, and questionnaires about lifestyle and cognitive function. With transcriptome analysis, differential gene expressions in the blood of the three groups were evaluated by gene ontology, pathway enrichment, and ingenuity pathway analyses, and quantitative real-time PCR was performed. Results Neutrophil extracellular trap signaling was increased, and lipid metabolism (FXR/RXR activation, triacylglycerol degradation) was decreased in AD, whereas MCI showed protective responses via decreased neutrophil extracellular trap signaling and mitochondrial functions such as upregulation of the sirtuin pathway and downregulation of oxidative stress. Conclusions Based on these findings and consistent with other published studies, immune cells appear to have important roles in the pathogenesis of AD, and the transcriptome in blood may be useful as a biomarker for diagnosis via monitoring immunity in MCI and AD.
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Affiliation(s)
- Jun-ichi Iga
- Department of Neuropsychiatry, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Yuta Yoshino
- Department of Neuropsychiatry, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Tomoki Ozaki
- Department of Neuropsychiatry, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Ayumi Tachibana
- Department of Neuropsychiatry, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Hiroshi Kumon
- Department of Neuropsychiatry, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Yu Funahashi
- Department of Neuropsychiatry, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Hiroaki Mori
- Department of Neuropsychiatry, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Mariko Ueno
- Department of Neuropsychiatry, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Yuki Ozaki
- Department of Neuropsychiatry, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Kiyohiro Yamazaki
- Department of Neuropsychiatry, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Shinichiro Ochi
- Department of Neuropsychiatry, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Masakatsu Yamashita
- Department of Immunology, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Shu-ichi Ueno
- Department of Neuropsychiatry, Ehime University Graduate School of Medicine, Ehime, Japan
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15
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Chen G, Xi E, Gu X, Wang H, Tang Q. The study on cuproptosis in Alzheimer's disease based on the cuproptosis key gene FDX1. Front Aging Neurosci 2024; 16:1480332. [PMID: 39759399 PMCID: PMC11696982 DOI: 10.3389/fnagi.2024.1480332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2024] [Accepted: 11/26/2024] [Indexed: 01/07/2025] Open
Abstract
Background Alzheimer's disease (AD) is a neurodegenerative disorder characterized by memory and cognitive impairments. Previous studies have shown neuronal death in the brains of AD patients, but the role of cuproptosis and its associated genes in AD neurons remains unclear. Methods Intersection analysis was conducted using the AD transcriptome dataset GSE63060, neuron dataset GSE147528, and reported cuproptosis-related genes to identify the cuproptosis key gene FDX1 highly expressed in AD. Subsequently, cell experiments were performed by treating SH-SY5Y cells with Aβ25-35 to establish AD cell model. The real-time reverse transcriptase-polymerase chain reaction (RT-qPCR) and western blotting (WB) assays were employed to detect the expression levels of FDX1, DLAT, and DLST. Cell proliferation was analyzed by counting Kit-8 (CCK8), mitochondrial ROS levels were analyzed using flow cytometry. shRNA was used to downregulate FDX1 expression, followed by repetition of the aforementioned experiments. Clinical experiments utilized qPCR to detect FDX1 mRNA levels in peripheral venous blood of patients, and analyzed FDX1 expression differences in different APOE genotypes of AD patients. Finally, a protein-protein interaction (PPI) network of FDX1 was constructed based on the GeneMANIA database, immune infiltration analysis was conducted using R language, and transcription factors prediction for FDX1 was performed based on the ENCODE database. Results The cuproptosis key gene FDX1 showed significantly higher expression in peripheral blood and neuron models of AD compared to non-AD individuals, with significantly higher expression in APOE ε4/ε4 genotype than other APOE genotype of AD patients. Knockdown of FDX1 expression reduced the lipidation levels of DLAT and DLST in neurons, alleviated ROS accumulation in mitochondria, improved cell viability, and mitigated cuproptosis. Immune infiltration analysis results indicated a high enrichment of peripheral blood γδ-T lymphocytes in AD, and FDX1 was significantly associated with the infiltration of four immune cells and may be regulated by three transcription factors. Conclusion The cuproptosis key gene FDX1 is highly expressed in AD and may promote cuproptosis in AD neurons by regulating the lipidation levels of DLAT and DLST, thereby participating in the onset and development of AD. This provides a potential target for the diagnosis and treatment of AD.
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Affiliation(s)
- Guilin Chen
- Department of Neurology, Yijishan Hospital, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China
| | - Erwei Xi
- Department of Neurology, Provincial Hospital Affiliated to Anhui Medical University, Hefei, Anhui, China
| | - Xiaozhen Gu
- Institute of Food and Biological Engineering, Hefei University of Technology, Hefei, Anhui, China
| | - Huili Wang
- Institute of Food and Biological Engineering, Hefei University of Technology, Hefei, Anhui, China
| | - Qiqiang Tang
- Department of Neurology, The First Affiliated Hospital of University of Science and Technology of China, Hefei, Anhui, China
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16
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Xiong X, Lui D, Ju C, Zhou Z, Xu C, Welsh P, Sattar N, Celis‐Morales C, Pell J, Wong I, Wong C, Ho F. Associations of Serum Lipid Traits With Fracture and Osteoporosis: A Prospective Cohort Study From the UK Biobank. J Cachexia Sarcopenia Muscle 2024; 15:2669-2683. [PMID: 39468953 PMCID: PMC11634517 DOI: 10.1002/jcsm.13611] [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: 05/17/2024] [Revised: 08/20/2024] [Accepted: 09/11/2024] [Indexed: 10/30/2024] Open
Abstract
BACKGROUND Previous studies reveal inconsistent associations between serum lipid traits and the risks of fractures and osteoporosis in the general population. METHODS This prospective cohort study analysed data from 414 302 UK Biobank participants (223 060 women and 191 242 men, aged 37-73 years) with serum lipid measurements: apolipoprotein A (Apo A), apolipoprotein B (Apo B), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), triglycerides (TG) and lipoprotein A (Lp(a)). Multivariable Cox proportional hazard models with penalized cubic splines were used to explore potential nonlinear associations of each lipid trait with the risks of fractures and osteoporosis. Subgroup analyses by age, sex, BMI categories and pre-existing cardiovascular disease were conducted. Mediation analyses using the g-formula were performed to quantify to which extent bone mineral density (BMD) may mediate the association between serum lipids and fracture risk. RESULTS Over a median follow-up period of 13.8 years, 25 918 (6.8%) of the 383 530 participants without prior fracture had incident fracture cases, and 7591 (4.1%) of the 184 919 participants with primary care data and without baseline osteoporosis were diagnosed with osteoporosis. TG had nonlinear associations with fractures and osteoporosis, whereas Apo B, TC and LDL-C had linear associations. There were also nonlinear associations of Apo A and HDL-C with fractures. Individuals in the highest quintiles for Apo A (fracture: HR 1.15 [95% CI 1.10, 1.21]; osteoporosis: HR 1.13 [1.02, 1.25]) and HDL-C (fracture: HR 1.27 [1.20, 1.34]; osteoporosis: HR 1.31 [1.18, 1.46]) were associated with higher risks of fractures and osteoporosis. Conversely, those in the highest quintile for Apo B (fracture: HR 0.85 [0.81, 0.89]; osteoporosis: HR 0.86 [0.79, 0.94]), LDL-C (fracture: HR 0.89 [0.85, 0.93]; osteoporosis: HR 0.91 [0.83, 1.00]) and TG (fracture: HR 0.78 [0.74, 0.82]; osteoporosis: HR 0.75 [0.68, 0.82]) were associated with lower risks. The associations of Apo A (ratio of HR [RHR] 1.05 [1.02, 1.09]) and HDL-C (RHR 1.06 [1.03, 1.09]) with fracture risk were more pronounced in men compared to women. Except for TG and Lp(a), the associations between serum lipids and fractures appear to be partially mediated through BMD (mediation proportions: 5.30% to 40.30%), assuming causality. CONCLUSIONS Our study reveals a complex interplay between different lipid markers and skeletal health, potentially partially mediated through BMD. Routine lipid profile assessments, including HDL-C and Apo A among other lipid traits, may be integrated into the strategies for fracture risk stratification.
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Affiliation(s)
- Xi Xiong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of MedicineThe University of Hong KongHong Kong SARChina
- School of Health and WellbeingUniversity of GlasgowGlasgowUK
| | - David T. W. Lui
- Li Ka Shing Faculty of Medicine, Department of Medicine, School of Clinical MedicineThe University of Hong KongHong Kong SARChina
| | - Chengsheng Ju
- Research Department of Practice and Policy, School of PharmacyUniversity College LondonLondonUK
- Institute of Cardiovascular ScienceUniversity College LondonLondonUK
| | - Ziyi Zhou
- School of Health and WellbeingUniversity of GlasgowGlasgowUK
| | - Chao Xu
- School of Health and WellbeingUniversity of GlasgowGlasgowUK
| | - Paul Welsh
- School of Cardiovascular and Metabolic HealthUniversity of GlasgowGlasgowUK
| | - Naveed Sattar
- School of Cardiovascular and Metabolic HealthUniversity of GlasgowGlasgowUK
| | - Carlos Celis‐Morales
- School of Health and WellbeingUniversity of GlasgowGlasgowUK
- School of Cardiovascular and Metabolic HealthUniversity of GlasgowGlasgowUK
- Centro de Investigación en Medicina de Altura (CEIMA)Universidad Arturo PratIquiqueChile
| | - Jill P. Pell
- School of Health and WellbeingUniversity of GlasgowGlasgowUK
| | - Ian C. K. Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of MedicineThe University of Hong KongHong Kong SARChina
- Laboratory of Data Discovery for Health (D4H)Hong Kong Science and Technology ParkHong Kong SARChina
- Aston Pharmacy SchoolAston UniversityBirminghamUK
- Advanced Data Analytics for Medical Science (ADAMS) LimitedHong KongChina
| | - Carlos K. H. Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of MedicineThe University of Hong KongHong Kong SARChina
- Laboratory of Data Discovery for Health (D4H)Hong Kong Science and Technology ParkHong Kong SARChina
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of MedicineThe University of Hong KongHong Kong SARChina
- Faculty of Epidemiology and Population Health, Department of Infectious Disease Epidemiology & DynamicsLondon School of Hygiene and Tropical MedicineLondonUK
| | - Frederick K. Ho
- School of Health and WellbeingUniversity of GlasgowGlasgowUK
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17
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Escarcega RD, Vijay Kumar MJ, Kyriakopoulos VE, Ortiz GJ, Gusdon AM, Fan H, Peesh P, Conesa MPB, Colpo GD, Ahnstedt HW, Couture L, Kim SH, Hinojosa M, Farrell CM, Marrelli SP, Urayama A, Ganesh BP, Schulz PE, McCullough LD, Tsvetkov AS. Serum metabolome profiling in patients with mild cognitive impairment reveals sex differences in lipid metabolism. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.11.11.623108. [PMID: 39605322 PMCID: PMC11601308 DOI: 10.1101/2024.11.11.623108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/29/2024]
Abstract
Alzheimer's disease (AD) affects more women than men. Although women live longer than men, it is not longevity alone, but other factors, including metabolic changes, that contribute to the higher risk of AD in women. Metabolic pathways have been implicated in AD progression, but studies to date examined targeted pathways, leaving many metabolites unmeasured. Sex is often a neglected biological variable, and most metabolomic studies were not designed to investigate sex differences in metabolomic profiles. Here, we performed untargeted metabolomic profiling of sera from male and female patients with mild cognitive impairment (MCI), a common precursor to AD, and matched controls. We discovered significant metabolic changes in individuals with MCI, and found several pathways that were strongly associated with sex. Peptide energy metabolism demonstrated sexual dimorphism. Lipid pathways exhibited the strongest differences between female and male MCI patients, including specific phosphatidylcholine lipids, lysophospholipids, long-chain fatty acids, and monoacylglycerols. 1-palmitoleoyl glycerol and 1-arachidonoyl glycerol were higher in female MCI subjects than in male MCI subjects with no differences between control males and females. Conversely, specific dicarboxylic fatty acids were lower in female MCI subjects than male MCI subjects. In cultured astrocytes, 1-arachidonoyl glycerol promoted phosphorylation of the transcriptional regulator sphingosine kinase 2, which was inhibited by the transient receptor potential vanilloid 1 receptor antagonists, as well as chromatin remodelling. Overall, we identified novel sex-specific metabolites in MCI patients that could serve as biomarkers of MCI in both sexes, help further define AD etiology, and reveal new potential prevention strategies for AD.
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Affiliation(s)
- Rocio Diaz Escarcega
- Department of Neurology, the University of Texas McGovern Medical School at Houston, TX, USA
| | - M. J. Vijay Kumar
- Department of Neurology, the University of Texas McGovern Medical School at Houston, TX, USA
| | | | - Guadalupe J. Ortiz
- Department of Neurology, the University of Texas McGovern Medical School at Houston, TX, USA
| | - Aaron M. Gusdon
- Department of Neurosurgery, the University of Texas McGovern Medical School at Houston, TX, USA
| | - Huihui Fan
- Department of Neurology, the University of Texas McGovern Medical School at Houston, TX, USA
| | - Pedram Peesh
- Department of Neurology, the University of Texas McGovern Medical School at Houston, TX, USA
| | - Maria P. Blasco Conesa
- Department of Neurology, the University of Texas McGovern Medical School at Houston, TX, USA
| | - Gabriela Delevati Colpo
- Department of Neurology, the University of Texas McGovern Medical School at Houston, TX, USA
| | - Hilda W. Ahnstedt
- Department of Neurology, the University of Texas McGovern Medical School at Houston, TX, USA
| | - Lucy Couture
- Department of Neurology, the University of Texas McGovern Medical School at Houston, TX, USA
| | - Stella H. Kim
- Department of Neurology, the University of Texas McGovern Medical School at Houston, TX, USA
- The University of Texas Graduate School of Biomedical Sciences, Houston, TX, USA
| | - Miriam Hinojosa
- Department of Neurology, the University of Texas McGovern Medical School at Houston, TX, USA
| | - Christine M. Farrell
- Department of Neurology, the University of Texas McGovern Medical School at Houston, TX, USA
| | - Sean P. Marrelli
- Department of Neurology, the University of Texas McGovern Medical School at Houston, TX, USA
| | - Akihiko Urayama
- Department of Neurology, the University of Texas McGovern Medical School at Houston, TX, USA
| | - Bhanu P. Ganesh
- Department of Neurology, the University of Texas McGovern Medical School at Houston, TX, USA
| | - Paul E. Schulz
- Department of Neurology, the University of Texas McGovern Medical School at Houston, TX, USA
| | - Louise D. McCullough
- Department of Neurology, the University of Texas McGovern Medical School at Houston, TX, USA
- The University of Texas Graduate School of Biomedical Sciences, Houston, TX, USA
| | - Andrey S. Tsvetkov
- Department of Neurology, the University of Texas McGovern Medical School at Houston, TX, USA
- The University of Texas Graduate School of Biomedical Sciences, Houston, TX, USA
- UTHealth Consortium on Aging, the University of Texas McGovern Medical School, Houston, TX, USA
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18
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Juul Rasmussen I, Luo J, Frikke-Schmidt R. Lipids, lipoproteins, and apolipoproteins: Associations with cognition and dementia. Atherosclerosis 2024; 398:118614. [PMID: 39340935 DOI: 10.1016/j.atherosclerosis.2024.118614] [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: 05/24/2024] [Revised: 09/06/2024] [Accepted: 09/19/2024] [Indexed: 09/30/2024]
Abstract
Due to increasing lifespan and aging populations globally there has been a steep rise in late-life dementia, which is now the second most common cause of death in high-income countries. In general, dementia can be divided into two major groups: Alzheimer's disease (AD) and vascular-related dementia (VD). AD is pathologically characterised by senile plaques containing amyloid-β and neurofibrillary tangles composed of hyperphosphorylated tau, whereas VD is dominated by vascular pathology such as cerebral small vessel disease, major strokes, and white matter lesions. Recently, the importance of vascular components in AD is increasingly recognized and it is estimated that up to 45 % of all dementia cases can be prevented by preventing or treating midlife cardiovascular risk factors such as physical inactivity, diabetes, and hypertension. Even though the brain contains approximately 25 % of the total body cholesterol pool, and several genetic variants related to the lipid metabolism have been identified in genome-wide associations studies of AD, the role of lipids, lipoproteins, and apolipoproteins in dementia risk is less well-known. In this review, we go through the current literature on lipids, lipoproteins, and apolipoproteins and risk of dementia. We conclude that the evidence is primarily insufficient or conflicting, possibly due to nonoptimal study designs. The future calls for large, prospective studies of midlife measurements of lipids, lipoproteins, and apolipoproteins and one-sample, individual level data Mendelian randomization studies to overcome survival bias. However, the current literature suggests that it is safe to say that what is good for the heart is good for the brain.
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Affiliation(s)
- Ida Juul Rasmussen
- Department of Clinical Biochemistry, Rigshospitalet, Blegdamsvej 9, DK-2100, Copenhagen, Denmark; The Copenhagen General Population Study, Herlev and Gentofte Hospital, Borgmester Ib Juuls Vej 1, DK-2730, Herlev, Denmark.
| | - Jiao Luo
- Department of Clinical Biochemistry, Rigshospitalet, Blegdamsvej 9, DK-2100, Copenhagen, Denmark
| | - Ruth Frikke-Schmidt
- Department of Clinical Biochemistry, Rigshospitalet, Blegdamsvej 9, DK-2100, Copenhagen, Denmark; The Copenhagen General Population Study, Herlev and Gentofte Hospital, Borgmester Ib Juuls Vej 1, DK-2730, Herlev, Denmark; Department of Clinical Medicine, University of Copenhagen, Blegdamsvej 3, DK-2200, Copenhagen, Denmark
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19
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Rajendrakumar AL, Ukraintseva S, Bagley O, Duan M, Yashin AI, Arbeev KG, Alzheimer’s Disease Neuroimaging Initiative. Elevated blood glucose levels are associated with the progression of brain hypometabolism, and HDL-C and APOE4 add to this association. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.09.20.24314082. [PMID: 39399037 PMCID: PMC11469353 DOI: 10.1101/2024.09.20.24314082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 10/15/2024]
Abstract
Background Brain glucose hypometabolism has consistently been found in neurodegenerative disorders, including Alzheimer's disease (AD). High blood glucose and HDL cholesterol (HDL-C) levels have also been linked to neurodegeneration and AD. However, there is limited understanding of the relationships between dementia-related risk factors in the brain and blood. Methods A linear mixed model was used to examine the relationship between blood glucose and HDL-C levels and the progression of brain hypometabolism, adjusting for APOE4 and other clinical covariates. The hypometabolic convergence index (HCI) was measured by fluorodeoxyglucose-18 (FDG) positron emission tomography (PET) in participants from the Alzheimer's Disease Neuroimaging Initiative (ADNI). Data visualizations were generated to understand the joint effects of plasma glucose, HDL-C, and APOE4 on HCI. Results There were 336 individuals (781 observations), of whom 22.62% had AD. The majority were male (63.98%) and of white race, and 48.51% were carriers of APOE4. Over time, high blood glucose level was associated with the progression of brain glucose hypometabolism (β=0.33, 95% CI: 0.02, 0.64, p<0.05). A high plasma HDL-C level (β=1.22, 95% CI: 0.09, 2.35, p<0.05), more study visits (β=1.67, 95% CI: 1.37, 1.98, p<0.001), and being an APOE4 allele carrier (β=1.29, 95% CI: 0.15, 2.42, p<0.05) were also significant predictors of brain hypometabolism progression. APOE4 carrier status and number of visits account for the largest proportion of the variance from the fixed effects model. Random effects due to participant characteristics and fixed effects together accounted for 95.2% of the model variance. Subgroup analysis revealed that these effects were observed only in those without AD. Conclusion High plasma glucose levels facilitated the progression of brain hypometabolism. The effect was more prominent in the APOE4 double-carriers with elevated HDL-C. Elevated blood glucose may reflect systemic insulin resistance, which could impair brain glucose uptake, resulting in brain hypometabolism. Controlling blood glucose and HDL-C levels in APOE4 carriers may improve brain metabolism, potentially delaying the onset of dementia.
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Affiliation(s)
- Aravind Lathika Rajendrakumar
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, 27708-0408, USA
| | - Svetlana Ukraintseva
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, 27708-0408, USA
| | - Olivia Bagley
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, 27708-0408, USA
| | - Matt Duan
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, 27708-0408, USA
| | - Anatoliy I. Yashin
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, 27708-0408, USA
| | - Konstantin G. Arbeev
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, 27708-0408, USA
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20
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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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21
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Shang G, Shao Q, Lv K, Xu W, Ji J, Fan S, Kang X, Cheng F, Wang X, Wang Q. Hypercholesterolemia and the Increased Risk of Vascular Dementia: a Cholesterol Perspective. Curr Atheroscler Rep 2024; 26:435-449. [PMID: 38814418 DOI: 10.1007/s11883-024-01217-3] [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] [Accepted: 05/17/2024] [Indexed: 05/31/2024]
Abstract
PURPOSE OF REVIEW Vascular dementia (VaD) is the second most prevalent type of dementia after Alzheimer's disease.Hypercholesterolemia may increase the risk of dementia, but the association between cholesterol and cognitive function is very complex. From the perspective of peripheral and brain cholesterol, we review the relationship between hypercholesterolemia and increased risk of VaD and how the use of lipid-lowering therapies affects cognition. RECENT FINDINGS Epidemiologic studies show since 1980, non-HDL-C levels of individuals has increased rapidly in Asian countries.The study has suggested that vascular risk factors increase the risk of VaD, such as disordered lipid metabolism. Dyslipidemia has been found to interact with chronic cerebral hypoperfusion to promote inflammation resulting in cognitive dysfunction in the brain.Hypercholesterolemia may be a risk factor for VaD. Inflammation could potentially serve as a link between hypercholesterolemia and VaD. Additionally, the potential impact of lipid-lowering therapy on cognitive function is also worth considering. Finding strategies to prevent and treat VaD is critical given the aging of the population to lessen the load on society. Currently, controlling underlying vascular risk factors is considered one of the most effective methods of preventing VaD. Understanding the relationship between abnormal cholesterol levels and VaD, as well as discovering potential serum biomarkers, is important for the early prevention and treatment of VaD.
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Affiliation(s)
- Guojiao Shang
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, No.11 East Beisanhuan Road, Chaoyang District, Beijing, China
| | - Qi Shao
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, No.11 East Beisanhuan Road, Chaoyang District, Beijing, China
| | - Kai Lv
- Department of Geratology, The Third Affiliated Hospital of Beijing University of Traditional Chinese Medicine, No.51 Xiaoguan Street, Andingmenwai, Chaoyang District, Beijing, China
| | - Wenxiu Xu
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, No.11 East Beisanhuan Road, Chaoyang District, Beijing, China
| | - Jing Ji
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, No.11 East Beisanhuan Road, Chaoyang District, Beijing, China
| | - Shuning Fan
- Dongzhimen Hospital of Beijing University of Chinese Medicine, No.5 Haiyuncang, Dongcheng District, Beijing, China
| | - Xiangdong Kang
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, No.11 East Beisanhuan Road, Chaoyang District, Beijing, China
| | - Fafeng Cheng
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, No.11 East Beisanhuan Road, Chaoyang District, Beijing, China.
| | - Xueqian Wang
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, No.11 East Beisanhuan Road, Chaoyang District, Beijing, China.
| | - Qingguo Wang
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, No.11 East Beisanhuan Road, Chaoyang District, Beijing, China.
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22
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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.
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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
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23
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Chen X, Bao Y, Zhao J, Wang Z, Gao Q, Ma M, Xie Z, He M, Deng X, Ran J. Associations of Triglycerides and Atherogenic Index of Plasma with Brain Structure in the Middle-Aged and Elderly Adults. Nutrients 2024; 16:672. [PMID: 38474800 DOI: 10.3390/nu16050672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Revised: 02/22/2024] [Accepted: 02/26/2024] [Indexed: 03/14/2024] Open
Abstract
Triglyceride (TG) and atherogenic index of plasma (AIP) have been acknowledged to be risk factors for vascular insults, but their impacts on the brain system remain elusive. To fill in some gaps, we investigated associations of TG and AIP with brain structure, leveraging the UK Biobank database. TG and high-density lipoprotein cholesterol (HDL-C) were examined at baseline and AIP was calculated as log (TG/HDL-C). We build several linear regression models to estimate associations of TG and AIP with volumes of brain grey matter phenotypes. Significant inverse associations of TG and AIP with volumes of specific subcortical traits were observed, among which TG and AIP were most significantly associated with caudate nucleus (TG: β [95% confidence interval CI] = -0.036 [-0.051, -0.022], AIP: -0.038 [-0.053, -0.023]), thalamus (-0.029 [-0.042, -0.017], -0.032 [-0.045, -0.019]). Higher TG and AIP were also considerably related with reduced cortical structure volumes, where two most significant associations of TG and AIP were with insula (TG: -0.035 [-0.048, -0.022], AIP: -0.038 [-0.052, -0.025]), superior temporal gyrus (-0.030 [-0.043, -0.017], -0.033 [-0.047, -0.020]). Modification effects of sex and regular physical activity on the associations were discovered as well. Our findings show adverse associations of TG and AIP with grey matter volumes, which has essential public health implications for early prevention in neurodegenerative diseases.
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Affiliation(s)
- Xixi Chen
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Yujia Bao
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Jiahao Zhao
- Department of Foundational Mathematics, Xi'an Jiaotong-Liverpool University, Suzhou 215000, China
| | - Ziyue Wang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Qijing Gao
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Mingyang Ma
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Ziwen Xie
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Mu He
- Department of Foundational Mathematics, Xi'an Jiaotong-Liverpool University, Suzhou 215000, China
| | - Xiaobei Deng
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Jinjun Ran
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
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Qureshi D, Collister J, Allen NE, Kuźma E, Littlejohns T. Association between metabolic syndrome and risk of incident dementia in UK Biobank. Alzheimers Dement 2024; 20:447-458. [PMID: 37675869 PMCID: PMC10916994 DOI: 10.1002/alz.13439] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 05/05/2023] [Accepted: 07/29/2023] [Indexed: 09/08/2023]
Abstract
INTRODUCTION The association between metabolic syndrome (MetS) and incident dementia remains inconclusive. METHODS In 176,249 dementia-free UK Biobank participants aged ≥60 years at baseline, Cox proportional-hazards models were used to investigate the association between MetS and incident dementia. MetS was defined as the presence of ≥3 of the following: elevated waist circumference, triglycerides, blood pressure, blood glucose, and reduced high-density lipoprotein cholesterol. RESULTS Over 15 years of follow-up (median = 12.3), 5255 participants developed dementia. MetS was associated with an increased risk of incident dementia (hazard ratio [HR]: 1.12, 95% confidence interval [CI]: 1.06, 1.18). The association remained consistent when restricting to longer follow-up intervals: >5 to 10 years (HR: 1.17, 95% CI: 1.07, 1.27) and >10 years (HR: 1.22, 95% CI: 1.12, 1.32). Stronger associations were observed in those with ≥4 MetS components and in apolipoprotein-E (APOE)-ε4 non-carriers. DISCUSSION In this large population-based prospective cohort, MetS was associated with an increased risk of dementia. HIGHLIGHTS MetS was associated with a 12% increased risk of incident all-cause dementia. Associations remained similar after restricting the analysis to those with longer follow-up. The presence of four or five MetS components was significantly associated with dementia. Stronger associations were observed in those with a low genetic risk for dementia.
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Affiliation(s)
- Danial Qureshi
- Nuffield Department of Population HealthUniversity of OxfordOxfordUK
| | | | - Naomi E. Allen
- Nuffield Department of Population HealthUniversity of OxfordOxfordUK
- UK Biobank LtdStockportUK
| | - Elżbieta Kuźma
- Albertinen Haus Centre for Geriatrics and GerontologyUniversity of HamburgHamburgGermany
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25
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Thomas PE, Vedel-Krogh S, Nordestgaard BG. Measuring lipoprotein(a) for cardiovascular disease prevention - in whom and when? Curr Opin Cardiol 2024; 39:39-48. [PMID: 38078600 DOI: 10.1097/hco.0000000000001104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
PURPOSE OF REVIEW The aim of this study is to summarize major cardiovascular guideline recommendations on lipoprotein(a) and highlighting recent findings that emphasize how measuring lipoprotein(a) once in all adults is meaningful regardless of age, sex, comorbidities, or ethnicity. RECENT FINDINGS Many international guidelines now recommend once in a lifetime measurement of lipoprotein(a) in all adult individuals to facilitate accurate risk prediction. Lipoprotein(a)-lowering therapy to reduce cardiovascular disease is on the horizon, with results from the first phase 3 trial expected in 2025. SUMMARY Elevated lipoprotein(a) is an independent causal risk factor for atherosclerotic cardiovascular disease and aortic valve stenosis and measuring lipoprotein(a) once in all individuals regardless of age, sex, comorbidities, or ethnicity is meaningful to aid in risk stratification.
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Affiliation(s)
- Peter E Thomas
- Department of Clinical Biochemistry
- The Copenhagen General Population Study, Copenhagen University Hospital - Herlev and Gentofte
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Signe Vedel-Krogh
- Department of Clinical Biochemistry
- The Copenhagen General Population Study, Copenhagen University Hospital - Herlev and Gentofte
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Børge G Nordestgaard
- Department of Clinical Biochemistry
- The Copenhagen General Population Study, Copenhagen University Hospital - Herlev and Gentofte
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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26
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Wang J, Xu L, Chen X, Wu J, Chen Y, Feng Z, Dong L, Yao D, Cai Q, Jian W, Li H, Duan M, Wang Z. Correlation Analysis of ApoB, ApoA1, and ApoB/ApoA1 with Cortical Morphology in Patients with Memory Complaints. J Alzheimers Dis 2024; 101:1137-1150. [PMID: 39302359 DOI: 10.3233/jad-230863] [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] [Indexed: 09/22/2024]
Abstract
Background Apolipoproteins and cortical morphology are closely associated with memory complaints, and both may contribute to the development of Alzheimer's disease. Objective To examine whether apolipoprotein B (ApoB), apolipoprotein A-1 (ApoA1), and their ratio (ApoB/ApoA1) are associated with cortical morphology in patients with memory complaints. Methods Ninety-seven patients underwent neuropsychological testing, measurements of ApoB, ApoA1, ApoB/ApoA1, plasma Alzheimer's biomarker, apolipoprotein E (ApoE) genotyping, and 3T structural magnetic resonance imaging (sMRI) scans. Based on sMRI scanning locations, patients were categorized into the University of Electronic Science and Technology (UESTC) and the Fourth People's Hospital of Chengdu (FPHC). The Computational Anatomy Toolbox within Statistical Parametric Mapping was used to calculate each patient's cortical morphology index based on sMRI data. The cortical morphology index and apolipoproteins were also analyzed. Results Significant positive correlations were found between ApoB and sulcal depth in the lateral occipital cortex among the UESTC, the FPHC, and the total sample groups, and negative correlations were observed between sulcal depth in the lateral occipital cortex and the scores of the Shape Trails Test Part A and B. In the FPHC group, the scores of the Montreal Cognitive Assessment Basic, delayed recall of the Auditory Verbal Learning Test, Animal Fluency Test and Boston Naming Test were positively correlated with the sulcal depth. Conclusions ApoB is associated with the sulcal depth in the lateral occipital cortex, potentially relating to speed/executive function in individuals with memory complaints.
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Affiliation(s)
- Jiayu Wang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- Department of Geriatrics, the Fourth People's Hospital of Chengdu, Chengdu, China
- Nursing School of Zunyi Medical University, Zunyi, China
| | - Lisi Xu
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- Department of Geriatrics, the Fourth People's Hospital of Chengdu, Chengdu, China
| | - Xuemei Chen
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- Department of Geriatrics, the Fourth People's Hospital of Chengdu, Chengdu, China
| | - Jiajing Wu
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- Department of Geriatrics, the Fourth People's Hospital of Chengdu, Chengdu, China
- Nursing School of Zunyi Medical University, Zunyi, China
| | - Yu Chen
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- Department of Radiology, the Fourth People's Hospital of Chengdu, Chengdu, China
| | - Ziqian Feng
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- Department of Geriatrics, the Fourth People's Hospital of Chengdu, Chengdu, China
- Nursing School of Zunyi Medical University, Zunyi, China
| | - Li Dong
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- Research Unit of NeuroInformation, Chinese Academy of Medical Sciences, Chengdu, China
- Sichuan Institute for Brain Science and Brain-Inspired Intelligence, Chengdu, China
| | - Dezhong Yao
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- Research Unit of NeuroInformation, Chinese Academy of Medical Sciences, Chengdu, China
- Sichuan Institute for Brain Science and Brain-Inspired Intelligence, Chengdu, China
| | - Qingyan Cai
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- Department of Geriatrics, the Fourth People's Hospital of Chengdu, Chengdu, China
| | - Wei Jian
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- Department of Geriatrics, the Fourth People's Hospital of Chengdu, Chengdu, China
| | - Hongyi Li
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- Department of Geriatrics, the Fourth People's Hospital of Chengdu, Chengdu, China
| | - MingJun Duan
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- Department of Geriatrics, the Fourth People's Hospital of Chengdu, Chengdu, China
| | - Ziqi Wang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- Department of Geriatrics, the Fourth People's Hospital of Chengdu, Chengdu, China
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Ding H, Liu C, Li Y, Ang TFA, Devine S, Liu Y, Au R, Doraiswamy PM. Sex-specific blood biomarkers linked to memory changes in middle-aged adults: The Framingham Heart Study. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2024; 16:e12569. [PMID: 38545543 PMCID: PMC10966919 DOI: 10.1002/dad2.12569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 02/02/2024] [Accepted: 02/13/2024] [Indexed: 06/06/2024]
Abstract
The relationship between sex-specific blood biomarkers and memory changes in middle-aged adults remains unclear. We aimed to investigate this relationship using the data from the Framingham Heart Study (FHS). We conducted association analysis, partial correlation analysis, and causal dose-response curves using blood biomarkers and other data from 793 middle-aged participants (≤ 60 years) from the FHS Offspring Cohort. The results revealed associations of adiponectin and fasting blood glucose with midlife memory change, along with a U-shaped relationship of high-density lipoprotein cholesterol with memory change. No significant associations were found for the other blood biomarkers (e.g., amyloid beta protein 42) with memory change. To our knowledge, this is the first sex-specific network analysis of blood biomarkers related to midlife memory change in a prospective cohort study. Our findings highlight the importance of targeting cardiometabolic risks and the need to validate midlife-specific biomarkers that can accelerate the development of primary preventive strategies.
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Affiliation(s)
- Huitong Ding
- Department of Anatomy and NeurobiologyBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Framingham Heart StudyBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
| | - Chunyu Liu
- Framingham Heart StudyBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Department of BiostatisticsBoston University School of Public HealthBostonMassachusettsUSA
| | - Yi Li
- Department of BiostatisticsBoston University School of Public HealthBostonMassachusettsUSA
| | - Ting Fang Alvin Ang
- Department of Anatomy and NeurobiologyBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Framingham Heart StudyBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Slone Epidemiology CenterBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
| | - Sherral Devine
- Department of Anatomy and NeurobiologyBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Framingham Heart StudyBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
| | - Yulin Liu
- Department of Anatomy and NeurobiologyBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Framingham Heart StudyBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
| | - Rhoda Au
- Department of Anatomy and NeurobiologyBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Framingham Heart StudyBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Slone Epidemiology CenterBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Department of NeurologyBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Department of EpidemiologyBoston University School of Public HealthBostonMassachusettsUSA
| | - P. Murali Doraiswamy
- Neurocognitive Disorders ProgramDepartments of Psychiatry and Medicineand the Duke Institute for Brain SciencesDuke University School of MedicineDurhamNorth CarolinaUSA
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28
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Hassen CB, Machado‐Fragua MD, Landré B, Fayosse A, Dumurgier J, Kivimaki M, Sabia S, Singh‐Manoux A. Change in lipids before onset of dementia, coronary heart disease, and mortality: A 28-year follow-up Whitehall II prospective cohort study. Alzheimers Dement 2023; 19:5518-5530. [PMID: 37243914 PMCID: PMC10679471 DOI: 10.1002/alz.13140] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 04/07/2023] [Indexed: 05/29/2023]
Abstract
INTRODUCTION The association of lipids with dementia remains a subject of debate. Using data from 7,672 participants of the Whitehall II prospective cohort study, we examined whether timing of exposure, length of follow-up, or sex modifies this association. METHODS Twelve markers of lipid levels were measured from fasting blood and eight among them a further five times. We performed time-to-event as well as trajectory analyses. RESULTS No associations were observed in men; in women most lipids were associated with the risk of dementia, but only for events occurring after the first 20 years of follow-up. Differences in lipid trajectories in men emerged only in the years immediately before diagnosis whereas in women total cholesterol (TC), LDL-cholesterol (LDL-C), non-HDL-cholesterol (non-HDL-C), TC/HDL-C, and LDL-C/HDL-C were higher in midlife among dementia cases before declining progressively. DISCUSSION Abnormal lipid levels in midlife seem to be associated with a higher risk of dementia in women.
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Affiliation(s)
- Céline Ben Hassen
- Université Paris Cité, Inserm U1153, Epidemiology of Ageing and Neurodegenerative diseasesParisFrance
| | - Marcos D Machado‐Fragua
- Université Paris Cité, Inserm U1153, Epidemiology of Ageing and Neurodegenerative diseasesParisFrance
| | - Benjamin Landré
- Université Paris Cité, Inserm U1153, Epidemiology of Ageing and Neurodegenerative diseasesParisFrance
| | - Aurore Fayosse
- Université Paris Cité, Inserm U1153, Epidemiology of Ageing and Neurodegenerative diseasesParisFrance
| | - Julien Dumurgier
- Université Paris Cité, Inserm U1153, Epidemiology of Ageing and Neurodegenerative diseasesParisFrance
- Cognitive Neurology Center, Lariboisière – Fernand Widal Hospital, AP‐HPUniversité Paris CitéParisFrance
| | - Mika Kivimaki
- Department of Mental Health of Older People, Faculty of Brain SciencesUniversity College LondonLondonUK
| | - Séverine Sabia
- Université Paris Cité, Inserm U1153, Epidemiology of Ageing and Neurodegenerative diseasesParisFrance
- Department of Mental Health of Older People, Faculty of Brain SciencesUniversity College LondonLondonUK
| | - Archana Singh‐Manoux
- Université Paris Cité, Inserm U1153, Epidemiology of Ageing and Neurodegenerative diseasesParisFrance
- Department of Mental Health of Older People, Faculty of Brain SciencesUniversity College LondonLondonUK
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29
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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: 0.5] [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.
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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
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30
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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: 10] [Impact Index Per Article: 5.0] [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.
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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
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Scarmeas N, Hooshmand B. Triglycerides and Cognition: Are All Lipids the Same? Neurology 2023; 101:983-984. [PMID: 37827847 DOI: 10.1212/wnl.0000000000208001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 09/18/2023] [Indexed: 10/14/2023] Open
Affiliation(s)
- Nikolaos Scarmeas
- From the 1st Department of Neurology (N.S.), Aiginition Hospital, National and Kapodistrian University of Athens, Medical School, Greece; Department of Neurology (N.S.), Columbia University, New York, NY; Aging Research Center (B.H.), Karolinska Institute, Stockholm, Sweden; and Department of Psychiatry and Psychotherapy (B.H.), University Hospital LMU Munich, Germany.
| | - Babak Hooshmand
- From the 1st Department of Neurology (N.S.), Aiginition Hospital, National and Kapodistrian University of Athens, Medical School, Greece; Department of Neurology (N.S.), Columbia University, New York, NY; Aging Research Center (B.H.), Karolinska Institute, Stockholm, Sweden; and Department of Psychiatry and Psychotherapy (B.H.), University Hospital LMU Munich, Germany
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Lee M, Lim JS, Kim Y, Park SH, Lee SH, Kim C, Lee BC, Yu KH, Lee JJ, Oh MS. High ApoB/ApoA-I Ratio Predicts Post-Stroke Cognitive Impairment in Acute Ischemic Stroke Patients with Large Artery Atherosclerosis. Nutrients 2023; 15:4670. [PMID: 37960323 PMCID: PMC10648714 DOI: 10.3390/nu15214670] [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: 10/11/2023] [Revised: 10/30/2023] [Accepted: 11/01/2023] [Indexed: 11/15/2023] Open
Abstract
BACKGROUND We aimed to investigate the association between the ApoB/ApoA-I ratio and post-stroke cognitive impairment (PSCI) in patients with acute stroke of large artery atherosclerosis etiology. METHODS Prospective stroke registry data were used to consecutively enroll patients with acute ischemic stroke due to large artery atherosclerosis. Cognitive function assessments were conducted 3 to 6 months after stroke. PSCI was defined as a z-score of less than -2 standard deviations from age, sex, and education-adjusted means in at least one cognitive domain. The ApoB/ApoA-I ratio was calculated, and patients were categorized into five groups according to quintiles of the ratio. Logistic regression analyses were performed to assess the association between quintiles of the ApoB/ApoA-I ratio and PSCI. RESULTS A total of 263 patients were included, with a mean age of 65.9 ± 11.6 years. The median NIHSS score and ApoB/ApoA-I ratio upon admission were 2 (IQR, 1-5) and 0.81 (IQR, 0.76-0.88), respectively. PSCI was observed in 91 (34.6%) patients. The highest quintile (Q5) of the ApoB/ApoA-I ratio was a significant predictor of PSCI compared to the lowest quintile (Q1) (adjusted OR, 3.16; 95% CI, 1.19-8.41; p-value = 0.021) after adjusting for relevant confounders. Patients in the Q5 group exhibited significantly worse performance in the frontal domain. CONCLUSIONS The ApoB/ApoA-I ratio in the acute stage of stroke independently predicted the development of PSCI at 3-6 months after stroke due to large artery atherosclerosis. Further, a high ApoB/ApoA-I ratio was specifically associated with frontal domain dysfunction.
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Affiliation(s)
- Minwoo Lee
- Department of Neurology, Hallym University Sacred Heart Hospital, Hallym Neurological Institute, Hallym University College of Medicine, Anyang 14068, Republic of Korea; (M.L.); (B.-C.L.); (K.-H.Y.)
- Institute of New Frontier Research Team, Hallym University College of Medicine, Chuncheon 24252, Republic of Korea;
| | - Jae-Sung Lim
- Department of Neurology, Asan Medical Center, Ulsan University College of Medicine, Seoul 05505, Republic of Korea;
| | - Yerim Kim
- Department of Neurology, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul 24252, Republic of Korea; (Y.K.); (S.H.P.)
| | - Soo Hyun Park
- Department of Neurology, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul 24252, Republic of Korea; (Y.K.); (S.H.P.)
| | - Sang-Hwa Lee
- Department of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon 24252, Republic of Korea; (S.-H.L.); (C.K.)
| | - Chulho Kim
- Department of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon 24252, Republic of Korea; (S.-H.L.); (C.K.)
| | - Byung-Chul Lee
- Department of Neurology, Hallym University Sacred Heart Hospital, Hallym Neurological Institute, Hallym University College of Medicine, Anyang 14068, Republic of Korea; (M.L.); (B.-C.L.); (K.-H.Y.)
| | - Kyung-Ho Yu
- Department of Neurology, Hallym University Sacred Heart Hospital, Hallym Neurological Institute, Hallym University College of Medicine, Anyang 14068, Republic of Korea; (M.L.); (B.-C.L.); (K.-H.Y.)
| | - Jae-Jun Lee
- Institute of New Frontier Research Team, Hallym University College of Medicine, Chuncheon 24252, Republic of Korea;
| | - Mi Sun Oh
- Department of Neurology, Hallym University Sacred Heart Hospital, Hallym Neurological Institute, Hallym University College of Medicine, Anyang 14068, Republic of Korea; (M.L.); (B.-C.L.); (K.-H.Y.)
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33
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Gong J, Harris K, Lipnicki DM, Castro‐Costa E, Lima‐Costa MF, Diniz BS, Xiao S, Lipton RB, Katz MJ, Wang C, Preux P, Guerchet M, Gbessemehlan A, Ritchie K, Ancelin M, Skoog I, Najar J, Sterner TR, Scarmeas N, Yannakoulia M, Kosmidis MH, Guaita A, Rolandi E, Davin A, Gureje O, Trompet S, Gussekloo J, Riedel‐Heller S, Pabst A, Röhr S, Shahar S, Singh DKA, Rivan NFM, van Boxtel M, Köhler S, Ganguli M, Chang C, Jacobsen E, Haan M, Ding D, Zhao Q, Xiao Z, Narazaki K, Chen T, Chen S, Ng TP, Gwee X, Numbers K, Mather KA, Scazufca M, Lobo A, De‐la‐Cámara C, Lobo E, Sachdev PS, Brodaty H, Hackett ML, Peters SAE, Woodward M, for the Cohort Studies of Memory in an International Consortium (COSMIC). Sex differences in dementia risk and risk factors: Individual-participant data analysis using 21 cohorts across six continents from the COSMIC consortium. Alzheimers Dement 2023; 19:3365-3378. [PMID: 36790027 PMCID: PMC10955774 DOI: 10.1002/alz.12962] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Revised: 12/12/2022] [Accepted: 12/21/2022] [Indexed: 02/16/2023]
Abstract
INTRODUCTION Sex differences in dementia risk, and risk factor (RF) associations with dementia, remain uncertain across diverse ethno-regional groups. METHODS A total of 29,850 participants (58% women) from 21 cohorts across six continents were included in an individual participant data meta-analysis. Sex-specific hazard ratios (HRs), and women-to-men ratio of hazard ratios (RHRs) for associations between RFs and all-cause dementia were derived from mixed-effect Cox models. RESULTS Incident dementia occurred in 2089 (66% women) participants over 4.6 years (median). Women had higher dementia risk (HR, 1.12 [1.02, 1.23]) than men, particularly in low- and lower-middle-income economies. Associations between longer education and former alcohol use with dementia risk (RHR, 1.01 [1.00, 1.03] per year, and 0.55 [0.38, 0.79], respectively) were stronger for men than women; otherwise, there were no discernible sex differences in other RFs. DISCUSSION Dementia risk was higher in women than men, with possible variations by country-level income settings, but most RFs appear to work similarly in women and men.
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Affiliation(s)
- Jessica Gong
- The George Institute for Global HealthUniversity of New South WalesSydneyAustralia
- The George Institute for Global HealthImperial College LondonLondonUK
| | - Katie Harris
- The George Institute for Global HealthUniversity of New South WalesSydneyAustralia
| | - Darren M. Lipnicki
- Centre for Healthy Brain Ageing (CHeBA)Discipline of Psychiatry and Mental HealthFaculty of Medicine and HealthUNSW SydneySydneyAustralia
| | - Erico Castro‐Costa
- Center for Studies in Public Health and Aging Rene Rachou InstituteOswaldo Cruz FoundationBelo HorizonteBrazil
| | - Maria Fernanda Lima‐Costa
- Center for Studies in Public Health and Aging Rene Rachou InstituteOswaldo Cruz FoundationBelo HorizonteBrazil
| | - Breno S. Diniz
- UConn Center on AgingDepartment of PsychiatrySchool of MedicineUniversity of Connecticut Health CenterFarmingtonConnecticutUSA
| | - Shifu Xiao
- Department of Geriatric PsychiatryShanghai Mental Health CentreShanghai Jiaotong University School of MedicineShanghaiChina
| | - Richard B. Lipton
- Department of NeurologyAlbert Einstein College of MedicineBronxNew YorkUSA
| | - Mindy J. Katz
- Department of NeurologyAlbert Einstein College of MedicineBronxNew YorkUSA
| | - Cuiling Wang
- Department of Epidemiology and Community HeathAlbert Einstein College of MedicineBronxNew YorkUSA
| | - Pierre‐Marie Preux
- Inserm U1094, IRD U270, Univ. LimogesCHU Limoges, EpiMaCT ‐ Epidemiology of chronic diseases in tropical zoneInstitute of Epidemiology and Tropical NeurologyOmegaHealthLimogesFrance
| | - Maëlenn Guerchet
- Inserm U1094, IRD U270, Univ. LimogesCHU Limoges, EpiMaCT ‐ Epidemiology of chronic diseases in tropical zoneInstitute of Epidemiology and Tropical NeurologyOmegaHealthLimogesFrance
| | - Antoine Gbessemehlan
- Inserm U1094, IRD U270, Univ. LimogesCHU Limoges, EpiMaCT ‐ Epidemiology of chronic diseases in tropical zoneInstitute of Epidemiology and Tropical NeurologyOmegaHealthLimogesFrance
| | - Karen Ritchie
- INM Institute for Neurosciences of MontpellierUniv MontpellierINSERMMontpellierFrance
| | - Marie‐Laure Ancelin
- INM Institute for Neurosciences of MontpellierUniv MontpellierINSERMMontpellierFrance
| | - Ingmar Skoog
- Department of Psychiatry and NeurochemistryCenter for Ageing and Health (Age Cap)University of GothenburgGothenburgSweden
| | - Jenna Najar
- Department of Psychiatry and NeurochemistryCenter for Ageing and Health (Age Cap)University of GothenburgGothenburgSweden
| | - Therese Rydberg Sterner
- Department of Psychiatry and NeurochemistryCenter for Ageing and Health (Age Cap)University of GothenburgGothenburgSweden
| | - Nikolaos Scarmeas
- 1st Department of NeurologyAiginition HospitalNational and Kapodistrian University of Athens Medical SchoolAthensGreece
- Department of NeurologyColumbia UniversityNew YorkNew YorkUSA
| | - Mary Yannakoulia
- Department of Nutrition and DieteticsHarokopio UniversityAthensGreece
| | - Mary H. Kosmidis
- Lab of Cognitive NeuroscienceSchool of PsychologyAristotle University of ThessalonikiThessalonikiGreece
| | | | - Elena Rolandi
- Golgi Cenci FoundationAbbiategrassoItaly
- Department of Brain and Behavioral SciencesUniversity of PaviaPaviaItaly
| | | | - Oye Gureje
- WHO Collaborating Centre for Research and Training in Mental HealthNeurosciences and Substance AbuseDepartment of PsychiatryUniversity of IbadanIbadanNigeria
| | - Stella Trompet
- Section of Gerontology and GeriatricsDepartment of Internal MedicineLeiden University Medical CenterLeidenthe Netherlands
| | - Jacobijn Gussekloo
- Section of Gerontology and GeriatricsDepartment of Internal MedicineLeiden University Medical CenterLeidenthe Netherlands
- Department of Public Health and Primary CareLeidenthe Netherlands
| | - Steffi Riedel‐Heller
- Institute of Social MedicineOccupational Health and Public Health (ISAP)University of LeipzigLeipzigGermany
| | - Alexander Pabst
- Institute of Social MedicineOccupational Health and Public Health (ISAP)University of LeipzigLeipzigGermany
| | - Susanne Röhr
- Institute of Social MedicineOccupational Health and Public Health (ISAP)University of LeipzigLeipzigGermany
| | - Suzana Shahar
- Centre for Healthy Ageing and WellnessUniversiti Kebangsaan MalaysiaKuala LumpurMalaysia
| | | | | | - Martin van Boxtel
- Alzheimer Centrum LimburgSchool for Mental Health and NeuroscienceMaastricht UniversityMaastrichtthe Netherlands
| | - Sebastian Köhler
- Alzheimer Centrum LimburgSchool for Mental Health and NeuroscienceMaastricht UniversityMaastrichtthe Netherlands
| | - Mary Ganguli
- Department of MedicineUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Chung‐Chou Chang
- Department of MedicineUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Erin Jacobsen
- Department of MedicineUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Mary Haan
- Department of Epidemiology and BiostatisticsSchool of MedicineUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - Ding Ding
- Institute of NeurologyNational Center for Neurological DisordersNational Clinical Research Center for Aging and MedicineHuashan HospitalFudan UniversityShanghaiChina
| | - Qianhua Zhao
- Institute of NeurologyNational Center for Neurological DisordersNational Clinical Research Center for Aging and MedicineHuashan HospitalFudan UniversityShanghaiChina
| | - Zhenxu Xiao
- Institute of NeurologyNational Center for Neurological DisordersNational Clinical Research Center for Aging and MedicineHuashan HospitalFudan UniversityShanghaiChina
| | - Kenji Narazaki
- Center for Liberal ArtsFukuoka Institute of TechnologyFukuokaJapan
| | - Tao Chen
- Sports and Health Research CenterDepartment of Physical EducationTongji UniversityShanghaiChina
| | - Sanmei Chen
- Global Health NursingDepartment of Health SciencesGraduate School of Biomedical and Health SciencesHiroshima UniversityHiroshimaJapan
| | - Tze Pin Ng
- Gerontology Research ProgrammeDepartment of Psychological MedicineYong Loo Lin School of MedicineNational University of SingaporeQueenstownSingapore
| | - Xinyi Gwee
- Gerontology Research ProgrammeDepartment of Psychological MedicineYong Loo Lin School of MedicineNational University of SingaporeQueenstownSingapore
| | - Katya Numbers
- Centre for Healthy Brain Ageing (CHeBA)Discipline of Psychiatry and Mental HealthFaculty of Medicine and HealthUNSW SydneySydneyAustralia
| | - Karen A. Mather
- Centre for Healthy Brain Ageing (CHeBA)Discipline of Psychiatry and Mental HealthFaculty of Medicine and HealthUNSW SydneySydneyAustralia
| | - Marcia Scazufca
- Instituto de Psiquiátria e LIM‐23Hospital da ClínicasFaculdade de MedicinaUniversidade de São PauloSão PauloBrazil
| | - Antonio Lobo
- Department of Medicine and Psychiatry Universidad de ZaragozaZaragozaSpain
- Instituto de Investigación Sanitaria Aragón (IIS Aragón)ZaragozaSpain
- n°33 CIBERSAMMadridSpain
| | - Concepción De‐la‐Cámara
- Department of Medicine and Psychiatry Universidad de ZaragozaZaragozaSpain
- n°33 CIBERSAMMadridSpain
| | - Elena Lobo
- Instituto de Investigación Sanitaria Aragón (IIS Aragón)ZaragozaSpain
- n°33 CIBERSAMMadridSpain
- Department of Public Health Universidad de ZaragozaZaragozaSpain
| | - Perminder S. Sachdev
- Centre for Healthy Brain Ageing (CHeBA)Discipline of Psychiatry and Mental HealthFaculty of Medicine and HealthUNSW SydneySydneyAustralia
| | - Henry Brodaty
- Centre for Healthy Brain Ageing (CHeBA)Discipline of Psychiatry and Mental HealthFaculty of Medicine and HealthUNSW SydneySydneyAustralia
| | - Maree L. Hackett
- The George Institute for Global HealthUniversity of New South WalesSydneyAustralia
- Faculty of Health and WellbeingUniversity of Central LancashireLancashireUK
| | - Sanne A. E. Peters
- The George Institute for Global HealthUniversity of New South WalesSydneyAustralia
- The George Institute for Global HealthImperial College LondonLondonUK
- Julius Center for Health Sciences and Primary CareUniversity Medical Center UtrechtUtrecht UniversityUtrechtthe Netherlands
| | - Mark Woodward
- The George Institute for Global HealthUniversity of New South WalesSydneyAustralia
- The George Institute for Global HealthImperial College LondonLondonUK
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