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Blicher MK, Frary C, Pareek M, Stidsen JV, Vishram-Nielsen JKK, Rasmussen S, Bonnema SJ, Højlund K, Olsen MH, Olesen TB. Triglyceride-glucose index improves risk prediction beyond traditional risk factors and hypertension mediated organ damage in healthy adults. Nutr Metab Cardiovasc Dis 2024; 34:2446-2454. [PMID: 39117485 DOI: 10.1016/j.numecd.2024.06.010] [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: 06/29/2023] [Revised: 06/04/2024] [Accepted: 06/13/2024] [Indexed: 08/10/2024]
Abstract
BACKGROUND AND AIMS Triglyceride-glucose (TyG) index, a surrogate measure of insulin resistance, is associated with hypertension mediated organ damage (HMOD) and cardiovascular disease. This study investigated the association between TyG index and major adverse cardiovascular events (MACE) and its interaction with traditional risk factors and HMOD. METHODS AND RESULTS Healthy subjects recruited from the general population were thoroughly examined and followed for MACE using nation-wide registries. Cox proportional hazard models were used to calculate the association between TyG index and MACE occurrence. Models were adjusted for Systematic Coronary Risk Evaluation (SCORE) risk factors, pulse wave velocity, left ventricular mass index, carotid atherosclerotic plaque status, and microalbuminuria. Continuous net reclassification and Harrell's Concordance index (C-index) were used to assess the added prognostic value of TyG index. During a follow-up period of mean 15.4 ± 4.7 years, MACE were observed in 332 (17%) of 1970 included participants. TyG index was associated with MACE; HR = 1.44 [95%CI:1.30-1.59] per standard deviation. After adjustment for traditional cardiovascular (CV) risk factors, HR was 1.16 [95%CI:1.03-1.31]. The association between TyG index and MACE remained significant after further adjustment for each HMOD component. However, this finding was evident only in subjects aged 41 or 51 years (HR = 1.39; 95%CI:1.15-1.69). Including TyG index in a risk model based on traditional CV risk factors improved C-index with 0.005 (P = 0.042). CONCLUSION In this population-based study of healthy middle-aged subjects, TyG index was associated with MACE independently of traditional CV risk factors and HMOD. TyG index may have a potential role in future risk prediction systems.
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Affiliation(s)
- Marie K Blicher
- Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark; Department of Endocrinology, Odense University Hospital, Odense, Denmark; Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
| | - Charles Frary
- Cardiology Section of the Department of Internal Medicine, Holbaek Hospital, Holbaek, Denmark
| | - Manan Pareek
- Center for Translational Cardiology and Pragmatic Randomized Trials, Copenhagen University Hospital - Herlev and Gentofte, Denmark
| | - Jacob V Stidsen
- Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark
| | - Julie K K Vishram-Nielsen
- Department of Cardiology, The Heart Centre, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark; Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region of Denmark, Copenhagen, Denmark
| | - Susanne Rasmussen
- Department of Clinical Physiology and Nuclear Medicine, Gentofte Hospital, Gentofte, Denmark
| | - Steen J Bonnema
- Department of Endocrinology, Odense University Hospital, Odense, Denmark
| | - Kurt Højlund
- Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark
| | - Michael H Olsen
- Cardiology Section of the Department of Internal Medicine, Holbaek Hospital, Holbaek, Denmark; Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
| | - Thomas B Olesen
- Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark; Department of Internal Medicine, Kolding Hospital, Kolding, Denmark
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Holland C, Dravecz N, Owens L, Benedetto A, Dias I, Gow A, Broughton S. Understanding exogenous factors and biological mechanisms for cognitive frailty: A multidisciplinary scoping review. Ageing Res Rev 2024; 101:102461. [PMID: 39278273 DOI: 10.1016/j.arr.2024.102461] [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: 12/21/2023] [Revised: 07/15/2024] [Accepted: 08/15/2024] [Indexed: 09/18/2024]
Abstract
Cognitive frailty (CF) is the conjunction of cognitive impairment without dementia and physical frailty. While predictors of each element are well-researched, mechanisms of their co-occurrence have not been integrated, particularly in terms of relationships between social, psychological, and biological factors. This interdisciplinary scoping review set out to categorise a heterogenous multidisciplinary literature to identify potential pathways and mechanisms of CF, and research gaps. Studies were included if they used the definition of CF OR focused on conjunction of cognitive impairment and frailty (by any measure), AND excluded studies on specific disease populations, interventions, epidemiology or prediction of mortality. Searches used Web of Science, PubMed and Science Direct. Search terms included "cognitive frailty" OR (("cognitive decline" OR "cognitive impairment") AND (frail*)), with terms to elicit mechanisms, predictors, causes, pathways and risk factors. To ensure inclusion of animal and cell models, keywords such as "behavioural" or "cognitive decline" or "senescence", were added. 206 papers were included. Descriptive analysis provided high-level categorisation of determinants from social and environmental through psychological to biological. Patterns distinguishing CF from Alzheimer's disease were identified and social and psychological moderators and mediators of underlying biological and physiological changes and of trajectories of CF development were suggested as foci for further research.
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Affiliation(s)
- Carol Holland
- Division of Health Research, Health Innovation One, Sir John Fisher Drive, Lancaster University, Lancaster LA1 4YW, UK.
| | - Nikolett Dravecz
- Division of Health Research, Health Innovation One, Sir John Fisher Drive, Lancaster University, Lancaster LA1 4YW, UK.
| | - Lauren Owens
- Division of Biomedical and Life Sciences, Furness College, Lancaster University, LA1 4YG, UK.
| | - Alexandre Benedetto
- Division of Biomedical and Life Sciences, Furness College, Lancaster University, LA1 4YG, UK.
| | - Irundika Dias
- Aston University Medical School, Aston University, Birmingham B4 7ET, UK.
| | - Alan Gow
- Centre for Applied Behavioural Sciences, Department of Psychology, School of Social Sciences, Heriot-Watt University, Edinburgh EH14 4AS, UK.
| | - Susan Broughton
- Division of Biomedical and Life Sciences, Furness College, Lancaster University, LA1 4YG, UK.
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Çakan F, Önalan O, Adar A, Akbay E, Çöllüoğlu IT, Köktürk U, Akin Y, Özçalik E. Clinical characteristics of atrial fibrillation in nonagenarian population and relationship with mortality. Minerva Cardiol Angiol 2024; 72:372-384. [PMID: 38934266 DOI: 10.23736/s2724-5683.24.06464-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/28/2024]
Abstract
BACKGROUND There is a considerable amount of literature available on well-known risk factors for atrial fibrillation (AF); however, available data specifically focused on the ninth decade are scarce. The main objective of this study was to assess the demographic and clinical characteristics of AF and sinus rhythm in a nonagenarian population. METHODS All individuals aged >90 years who were admitted to the Cardiology outpatient clinic between April 2018 and January 2019 were enrolled in the study. The demographic and clinical characteristics of all patients were recorded. All deaths that occurred during the two-year follow-up period were recorded. RESULTS In total, 112 nonagenarian individuals were included in the study. Of these patients, 50 (44.6%) had AF. The groups showed similarities in demographic and clinical characteristics. During a mean follow-up period of 596±44 days, 39 patients (78%) in the AF group and 35 patients (56.5%) in the sinus group died. Patients with AF showed a lower overall survival distribution than those with sinus rhythm (P=0.005, log-rank test χ2=7.734). AF was associated with an increased risk of mortality (P=0.002, hazard ratio [HR] =2.104, 95% confidence interval [CI] = 1.326-3.339) in multivariate Cox regression analysis, while waist circumference and total cholesterol (P=0.003, HR=0.969, 95% CI=0.949-0.989 and P=0.046, HR=0.993, 95% CI=0.986-1.000, respectively) showed a decreased risk of mortality. CONCLUSIONS Atrial fibrillation is very common in individuals over the age of 90 years (44.6%). Well-known risk factors do not appear to be effective in this age group, and AF is associated with a 2.1-fold increase in the risk of mortality.
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Affiliation(s)
- Fahri Çakan
- Department of Cardiology, Faculty of Medicine, Karabuk University, Karabuk, Türkiye -
| | - Orhan Önalan
- Department of Cardiology, Faculty of Medicine, Karabuk University, Karabuk, Türkiye
| | - Adem Adar
- Department of Cardiology, Alanya Research and Application Center, Baskent University, Antalya, Türkiye
| | - Ertan Akbay
- Department of Cardiology, Alanya Research and Application Center, Baskent University, Antalya, Türkiye
| | - Inci T Çöllüoğlu
- Department of Cardiology, Faculty of Medicine, Karabuk University, Karabuk, Türkiye
| | - Uğur Köktürk
- Department of Cardiology, Faculty of Medicine, Bulent Ecevit University, Zonguldak, Türkiye
| | - Yeşim Akin
- Department of Cardiology, Faculty of Medicine, Karabuk University, Karabuk, Türkiye
| | - Emre Özçalik
- Department of Cardiology, Zubeyde Hanim Hospital, Baskent University, Izmir, Türkiye
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Li X, Chen C, Zhang Y, Wang J, Cui X, Xu L, Zhou J, Deng L, Zhang M, Lv Y, Yu Q, Shi X. Serum 25-Hydroxyvitamin D and Risk of Disability in Activities of Daily Living among the Oldest-Old: An Observational and Mendelian Randomization Study. J Nutr 2024; 154:1004-1013. [PMID: 38246357 DOI: 10.1016/j.tjnut.2024.01.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 01/09/2024] [Accepted: 01/16/2024] [Indexed: 01/23/2024] Open
Abstract
BACKGROUND Vitamin D deficiency and disability are both prevalent among older adults. However, the association between them has rarely been investigated in the oldest-old subjects (aged ≥80 y), and the causality remains unclear. OBJECTIVE This study aimed to elucidate the causal effect of vitamin D on the incident risk of disability in activities of daily living (ADL) among Chinese oldest-old based on the 2012-2018 Chinese Healthy Ageing and Biomarkers Cohort Study. METHODS Serum 25-hydroxyvitamin D [25(OH)D] concentrations and ADL status at baseline and follow-up interviews were documented. Cox regression models were applied among 1427 oldest-old (mean age, 91.2 y) with normal baseline ADL status. One sample Mendelian randomization (MR) analyses were performed on a subset of 941 participants with qualified genetic data, using a 25(OH)D-associated genetic risk score as the genetic instrument. RESULTS During a median follow-up of 3.4 y, 231 participants developed disability in ADL. Serum 25(OH)D concentration was inversely associated with the risk of disability in ADL [per 10 nmol/L increase hazard ratio (HR) 0.85; 95% CI: 0.75, 0.96]. Consistent results from MR analyses showed that a 10 nmol/L increment in genetically predicted 25(OH)D concentration corresponded to a 20% reduced risk of ADL disability (HR 0.80; 95% CI: 0.68, 0.94). Nonlinear MR demonstrated a monotonic declining curve, with the HRs exhibiting a more pronounced reduction among individuals with 25(OH)D concentrations below 50 nmol/L. Subgroup analyses showed that the associations were more distinct among females and those with poorer health conditions. CONCLUSIONS Our study supports an inverse causal relationship between serum 25(OH)D concentration and the risk of disability in ADL among Chinese oldest-old. This protective effect was more distinct, especially for participants with vitamin D deficiency. Appropriate measures for improving vitamin D might help reduce the incidence of physical disability in this specific age group.
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Affiliation(s)
- Xinwei Li
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China; China Centers for Disease Control and Prevention (CDC) Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese CDC, Beijing, China
| | - Chen Chen
- China Centers for Disease Control and Prevention (CDC) Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese CDC, Beijing, China
| | - Yue Zhang
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Jun Wang
- China Centers for Disease Control and Prevention (CDC) Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese CDC, Beijing, China
| | - Xingyao Cui
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China; China Centers for Disease Control and Prevention (CDC) Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese CDC, Beijing, China
| | - Lanjing Xu
- China Centers for Disease Control and Prevention (CDC) Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese CDC, Beijing, China; Department of Big Data in Health Science, School of Public Health, Zhejiang University, Hangzhou, Zhejiang, China
| | - Jinhui Zhou
- China Centers for Disease Control and Prevention (CDC) Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese CDC, Beijing, China
| | - Luojia Deng
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Min Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China; China Centers for Disease Control and Prevention (CDC) Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese CDC, Beijing, China
| | - Yuebin Lv
- China Centers for Disease Control and Prevention (CDC) Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese CDC, Beijing, China
| | - Qiong Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China.
| | - Xiaoming Shi
- China Centers for Disease Control and Prevention (CDC) Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese CDC, Beijing, China.
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Duan J, Wang M, Sam NB, Tian Q, Zheng T, Chen Y, Deng X, Liu Y. The development and validation of a nomogram-based risk prediction model for mortality among older adults. SSM Popul Health 2024; 25:101605. [PMID: 38292049 PMCID: PMC10825771 DOI: 10.1016/j.ssmph.2024.101605] [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: 04/07/2023] [Revised: 10/15/2023] [Accepted: 01/05/2024] [Indexed: 02/01/2024] Open
Abstract
Objective This research aims to construct and authenticate a comprehensive predictive model for all-cause mortality, based on a multifaceted array of risk factors. Methods The derivation cohort for this study was the Chinese Longitudinal Healthy Longevity Survey (CLHLS), while the Healthy Ageing and Biomarkers Cohort Study (HABCS) and the China Health and Retirement Longitudinal Study (CHARLS) were used as validation cohorts. Risk factors were filtered using lasso regression, and predictive factors were determined using net reclassification improvement. Cox proportional hazards models were employed to establish the mortality risk prediction equations, and the model's fit was evaluated using a discrimination concordance index (C-index). To evaluate the internal consistency of discrimination and calibration, a 10x10 cross-validation technique was employed. Calibration plots were generated to compare predicted probabilities with observed probabilities. The prediction ability of the equations was demonstrated using nomogram. Results The CLHLS (mean age 88.08, n = 37074) recorded 28158 deaths (179683 person-years) throughout the course of an 8-20 year follow-up period. Additionally, there were 1384 deaths in the HABCS (mean age 86.74, n = 2552), and 1221 deaths in the CHARLS (mean age 72.48, n = 4794). The final all-cause mortality model incorporated demographic characteristics like age, sex, and current marital status, as well as functional status indicators including cognitive function and activities of daily living. Additionally, lifestyle factors like past smoking condition and leisure activities including housework, television viewing or radio listening, and gardening work were included. The C-index for the derivation cohort was 0.728 (95% CI: 0.724-0.732), while the external validation results for the CHARS and HABCS cohorts were 0.761 (95% CI: 0.749-0.773) and 0.713 (95% CI: 0.697-0.729), respectively. Conclusion This study introduces a reliable, validated, and acceptable mortality risk predictor for older adults in China. These predictive factors have potential applications in public health policy and clinical practice.
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Affiliation(s)
- Jun Duan
- Department of Medical Record Statistics, Peking University Shenzhen Hospital, Shenzhen, China
| | - MingXia Wang
- Department of Stomatology, Luohu Hospital of Traditional Chinese Medicine, Shenzhen, China
| | - Napoleon Bellua Sam
- Department of Epidemiology and Biostatistics, University for Development Studies, Tamale, Ghana
| | - Qin Tian
- Scientific Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - TingTing Zheng
- Department of Ultrasound, Peking University Shenzhen Hospital, Shenzhen Key Laboratory for Drug Addiction and Medication Safety, Institute of Ultrasound Medicine, Shenzhen-PKU-HKUST Medical Center, Shenzhen, China
| | - Yun Chen
- Department of Ultrasound, Peking University Shenzhen Hospital, Shenzhen Key Laboratory for Drug Addiction and Medication Safety, Institute of Ultrasound Medicine, Shenzhen-PKU-HKUST Medical Center, Shenzhen, China
| | - XiaoMei Deng
- Department of Comprehensive Ward, Peking University Shenzhen Hospital, Shenzhen, China
| | - Yan Liu
- Department of Medical Record Statistics, Peking University Shenzhen Hospital, Shenzhen, China
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WANG SS, YANG SS, PAN CJ, WANG JH, LI HW, CHEN SM, HAO JK, LI XH, LI RR, LI BY, YANG JH, SHI YT, LI HH, BAO YH, WANG WC, DU SY, HE Y, LI CL, LIU M. Cholesterol paradox in the community-living old adults: is higher better? J Geriatr Cardiol 2023; 20:837-844. [PMID: 38161338 PMCID: PMC10755211 DOI: 10.26599/1671-5411.2023.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2024] Open
Abstract
OBJECTIVE To evaluate the associations of lipid indicators and mortality in Beijing Elderly Comprehensive Health Cohort Study. METHODS A prospective cohort was conducted based on Beijing Elderly Comprehensive Health Cohort Study with 4499 community older adults. After the baseline survey, the last follow-up was March 31, 2021 with an average 8.13 years of follow-up. Cox proportional hazard model was used to estimate the hazard ratios (HR) with 95% CI for cardiovascular disease (CVD) death and all-cause death in associations with baseline lipid indicators. RESULTS A total of 4499 participants were recruited, and the mean levels of uric acid, body mass index, systolic blood pressure, diastolic blood pressure, fasting plasma glucose, total cholesterol (TC), triglyceride, and low-density lipoprotein cholesterol (LDL-C) showed an upward trend with the increasing remnant cholesterol (RC) quarters (Ptrend < 0.05), while the downward trend was found in high-density lipoprotein cholesterol (HDL-C). During the total 36,596 person-years follow-up, the CVD mortality and all-cause mortality during an average 8.13 years of follow-up was 3.87% (95% CI: 3.30%-4.43%) and 14.83% (95% CI: 13.79%-15.86%) with 174 CVD death participants and 667 all-cause death participants. After adjusting for confounders, the higher level of TC (HR = 0.854, 95% CI: 0.730-0.997), LDL-C (HR = 0.817, 95% CI: 0.680-0.982) and HDL-C (HR = 0.443, 95% CI: 0.271-0.724) were associated with lower risk of CVD death, and the higher level of HDL-C (HR = 0.637, 95% CI: 0.501-0.810) were associated with lower risk of all-cause death. The higher level of RC (HR = 1.276, 95% CI: 1.010-1.613) increase the risk of CVD death. Compared with the normal lipid group, TC ≥ 6.20 mmol/L group and LDL-C ≥ 4.10 mmol/L group were no longer associated with lower risk of CVD death, while RC ≥ 0.80 mmol/L group was still associated with higher risk of CVD death. In normal lipid group, the higher levels of TC, LDL-C and HDL-C were related with lower CVD death. CONCLUSIONS In community older adults, higher levels of TC and HDL-C were associated with lower CVD mortality in normal lipid reference range. Higher RC was associated with higher CVD mortality, which may be a better lipid indicator for estimating the CVD death risk in older adults.
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Affiliation(s)
- Sheng-Shu WANG
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, the Second Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Shan-Shan YANG
- Department of Disease Prevention and Control, the First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Chun-Jiang PAN
- Department of Disease Control and Prevention, Chinese PLA Strategic Support Force Characteristic Medical Center, Beijing, China
| | - Jian-Hua WANG
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, the Second Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Hao-Wei LI
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, the Second Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Shi-Min CHEN
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, the Second Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Jun-Kai HAO
- Department of Health Service, the Second Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Xue-Hang LI
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, the Second Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Rong-Rong LI
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, the Second Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Bo-Yan LI
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, the Second Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Jun-Han YANG
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, the Second Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Yue-Ting SHI
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, the Second Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Huai-Hao LI
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, the Second Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Ying-Hui BAO
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, the Second Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Wen-Chang WANG
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, the Second Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Sheng-Yan DU
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, the Second Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Yao HE
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, the Second Medical Center, Chinese PLA General Hospital, Beijing, China
- Department of Epidemiology, State Key Laboratory of Kidney Diseases, Chinese PLA General Hospital, Beijing, China
| | - Chun-Lin LI
- Institute of Endocrinology, the Second Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Miao LIU
- Department of anti-NBC Medicine, Chinese PLA Medical School, Chinese PLA General Hospital, Beijing, China
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Wu S, Liu X, Yang H, Ma W, Qin Z. The effect of lipid metabolism on age-associated cognitive decline: Lessons learned from model organisms and human. IBRO Neurosci Rep 2023; 15:165-169. [PMID: 38204577 PMCID: PMC10776322 DOI: 10.1016/j.ibneur.2023.08.2194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 07/26/2023] [Accepted: 08/29/2023] [Indexed: 01/12/2024] Open
Abstract
Lipids are required as integral building blocks of cells to support cellular structures and functions. The intricate mechanisms underpinning lipid homeostasis are essential for the health and maintenance of the central nervous system. Here we summarize the recent advances in dissecting the effect of lipid metabolism on cognitive function and its age-associated decline by reviewing relevant studies ranging from invertebrate model organisms to mammals including human.
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Affiliation(s)
- Shihao Wu
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Orthopedic Department of Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China
- Department of Geriatric Medicine, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China
| | - Xiaoli Liu
- Punan Branch of Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200125, China
| | - Haiyan Yang
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Orthopedic Department of Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China
- Collaborative Innovation Center for Brain Science, Tongji University, Shanghai 200092, China
| | - Wenlin Ma
- Department of Geriatric Medicine, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China
- Shanghai Clinical Research Center for Aging and Medicine, Shanghai 200040, China
| | - Zhao Qin
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Orthopedic Department of Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China
- Collaborative Innovation Center for Brain Science, Tongji University, Shanghai 200092, China
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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: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 08/22/2023] [Indexed: 10/27/2023] Open
Abstract
BACKGROUND AND OBJECTIVES It has been suggested that higher triglyceride levels were associated with a lower risk of Alzheimer disease. This study aimed to examine the association of triglycerides with dementia and cognition change in community-dwelling older adults. METHODS This prospective longitudinal study used data from the Aspirin in Reducing Events in the Elderly (ASPREE) randomized trial of adults aged 65 years or older without dementia or previous cardiovascular events at enrollment. The main outcome was incident dementia. Other outcomes included changes in composite cognition and domain-specific cognition (global cognition, memory, language and executive function, and psychomotor speed). The association between baseline triglycerides and dementia risk was estimated using Cox proportional hazard models adjusting for relevant risk factors. Linear mixed models were used to investigate cognitive change. The analysis was repeated in a subcohort of participants with available APOE-ε4 genetic data with additional adjustment for APOE-ε4 carrier status and an external cohort (UK Biobank) with similar selection criteria applied. RESULTS This study included 18,294 ASPREE participants and 68,200 UK Biobank participants (mean age: 75.1 and 66.9 years; female: 56.3% and 52.7%; median [interquartile range] triglyceride: 106 [80-142] mg/dL and 139 [101-193] mg/dL), with dementia recorded in 823 and 2,778 individuals over a median follow-up of 6.4 and 12.5 years, respectively. Higher triglyceride levels were associated with lower dementia risk in the entire ASPREE cohort (hazard ratio [HR] with doubling of triglyceride: 0.82, 95% CI 0.72-0.94). Findings were similar in the subcohort of participants with APOE-ε4 genetic data (n = 13,976) and in the UK Biobank cohort (HR was 0.82 and 0.83, respectively, all p ≤ 0.01). Higher triglycerides were also associated with slower decline in composite cognition and memory over time (p ≤ 0.05). DISCUSSION Older adults with higher triglyceride levels within the normal to high-normal range had a lower dementia risk and slower cognitive decline over time compared with individuals with lower triglyceride levels. Higher triglyceride levels may be reflective of better overall health and/or lifestyle behaviors that would protect against dementia development. Future studies are warranted to investigate whether specific components within the total circulating pool of plasma triglycerides may promote better cognitive function, with the hope of informing the development of new preventive strategies.
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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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Hao B, Chen J, Cai Y, Li H, Zhu Z, Xu W, Liu H. Association between allostatic load and adverse outcomes among older patients with heart failure with preserved ejection fraction. BMC Geriatr 2023; 23:360. [PMID: 37296410 PMCID: PMC10257257 DOI: 10.1186/s12877-023-04091-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 06/05/2023] [Indexed: 06/12/2023] Open
Abstract
BACKGROUND The allostatic load (AL) refers to the cumulative weakening of multiple physiological systems caused by repeated adaptation of the body to stressors There are still no studies have focused on the association between AL and the prognosis of patients with heart failure with preserved ejection fraction (HFpEF). The present study aimed to investigate the association between AL and adverse outcomes, including mortality and HF admission, among elderly male patients with HFpEF. METHODS We conducted a prospective cohort study of 1111 elderly male patients with HFpEF, diagnosed between 2015 and 2019 and followed up through 2021. We constructed an AL measure using a combination of 12 biomarkers. The diagnosis of HFpEF was made according to the 2021 European Society of Cardiology guidelines. A Cox proportional hazards model was used to determine the associations between AL and adverse outcomes. RESULTS In multivariate analysis, AL was significantly associated with increased risk of all-cause mortality (medium AL: adjusted hazard ratio [HR] = 2.53; 95% confidence interval [CI] 1.37-4.68; high AL: HR = 4.21; 95% CI 2.27-7.83; per-score increase: HR = 1.31; 95% CI 1.18-1.46), cardiovascular mortality (medium AL: HR = 2.67; 95% CI 1.07-6.68; high AL: HR = 3.13; 95% CI 1.23-7.97; per-score increase: HR = 1.20; 95% CI 1.03-1.40), non-cardiovascular mortality (medium AL: HR = 2.45; 95% CI 1.06-5.63; high AL: HR = 5.81; 95% CI 2.55-10.28; per-score increase: HR = 1.46; 95% CI 1.26-1.69), and HF admission (medium AL: HR = 2.68; 95% CI 1.43-5.01; high AL: HR = 3.24; 95% CI 1.69-6.23; per-score increase: HR = 1.24; 95% CI 1.11-1.39). Consistent results were found in multiple subgroup analyses. CONCLUSIONS A higher AL was associated with poor prognosis in elderly men with HFpEF. AL relies on information that is easily obtained in physical examinations and laboratory parameters and can be assessed in various care and clinical settings to help risk stratification of HFpEF patients.
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Affiliation(s)
- Benchuan Hao
- Department of Cardiology, The Second Medical Centre, Chinese PLA General Hospital, Beijing, China
- Medical School of Chinese PLA, Beijing, China
- Beijing Key Laboratory of Chronic Heart Failure Precision Medicine, Beijing, China
| | - Jianqiao Chen
- Department of Geriatrics, Henan Provincial People's Hospital, Zhengzhou, China
| | - Yulun Cai
- Department of Cardiology, The Second Medical Centre, Chinese PLA General Hospital, Beijing, China
- Beijing Key Laboratory of Chronic Heart Failure Precision Medicine, Beijing, China
| | - Huiying Li
- Department of Cardiology, The Second Medical Centre, Chinese PLA General Hospital, Beijing, China
- Beijing Key Laboratory of Chronic Heart Failure Precision Medicine, Beijing, China
| | - Zifan Zhu
- Department of Cardiology, The Second Medical Centre, Chinese PLA General Hospital, Beijing, China
- Medical School of Chinese PLA, Beijing, China
- Beijing Key Laboratory of Chronic Heart Failure Precision Medicine, Beijing, China
| | - Weihao Xu
- Department of Cardiology, Guangdong Provincial People's Hospital, Guangdong Provincial Cardiovascular Institute, Guangdong Academy of Medical Sciences, Guangzhou, China.
- Department of Geriatrics, Guangdong Provincial Geriatrics Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
| | - Hongbin Liu
- Department of Cardiology, The Second Medical Centre, Chinese PLA General Hospital, Beijing, China.
- Beijing Key Laboratory of Chronic Heart Failure Precision Medicine, Beijing, China.
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10
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Chu W, Lynskey N, Iain-Ross J, Pell JP, Sattar N, Ho FK, Welsh P, Celis-Morales C, Petermann-Rocha F. Identifying the Biomarker Profile of Pre-Frail and Frail People: A Cross-Sectional Analysis from UK Biobank. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:2421. [PMID: 36767787 PMCID: PMC9915970 DOI: 10.3390/ijerph20032421] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 01/20/2023] [Accepted: 01/27/2023] [Indexed: 06/18/2023]
Abstract
OBJECTIVE This study aimed to compare the biomarker profile of pre-frail and frail adults in the UK Biobank cohort by sex. METHODS In total, 202,537 participants (67.8% women, aged 37 to 73 years) were included in this cross-sectional analysis. Further, 31 biomarkers were investigated in this study. Frailty was defined using a modified version of the Frailty Phenotype. Multiple linear regression analyses were performed to explore the biomarker profile of pre-frail and frail individuals categorized by sex. RESULTS Lower concentrations of apoA1, total, LDL, and HDL cholesterol, albumin, eGFRcys, vitamin D, total bilirubin, apoB, and testosterone (differences ranged from -0.30 to -0.02 per 1-SD change), as well as higher concentrations of triglycerides, GGT, cystatin C, CRP, ALP, and phosphate (differences ranged from 0.01 to 0.53 per 1-SD change), were identified both in pre-frail and frail men and women. However, some of the associations differed by sex. For instance, higher rheumatoid factor and urate concentrations were identified in pre-frail and frail women, while lower calcium, total protein, and IGF-1 concentrations were identified in pre-frail women and frail women and men. When the analyses were further adjusted for CRP, similar results were found. CONCLUSIONS Several biomarkers were linked to pre-frailty and frailty. Nonetheless, some of the associations differed by sex. Our findings contribute to a broader understanding of the pathophysiology of frailty as currently defined.
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Affiliation(s)
- Wenying Chu
- BHF Cardiovascular Research Centre, School of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow G12 8TA, UK
| | - Nathan Lynskey
- BHF Cardiovascular Research Centre, School of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow G12 8TA, UK
| | - James Iain-Ross
- BHF Cardiovascular Research Centre, School of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow G12 8TA, UK
| | - Jill P. Pell
- School of Health and Wellbeing, University of Glasgow, Glasgow G12 8RZ, UK
| | - Naveed Sattar
- BHF Cardiovascular Research Centre, School of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow G12 8TA, UK
| | - Frederick K. Ho
- School of Health and Wellbeing, University of Glasgow, Glasgow G12 8RZ, UK
| | - Paul Welsh
- School of Health and Wellbeing, University of Glasgow, Glasgow G12 8RZ, UK
| | - Carlos Celis-Morales
- School of Health and Wellbeing, University of Glasgow, Glasgow G12 8RZ, UK
- Laboratorio de Rendimiento Humano, Grupo de Estudio en Educación, Actividad Física y Salud (GEEAFyS), Universidad Católica del Maule, Talca 3466706, Chile
| | - Fanny Petermann-Rocha
- BHF Cardiovascular Research Centre, School of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow G12 8TA, UK
- Centro de Investigación Biomédica, Facultad de Medicina, Universidad Diego Portales, Santiago 8370068, Chile
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11
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Qiu J, Peng G, Tang Y, Li S, Liu Z, Zheng J, Wang Y, Liu H, Wei L, Su Y, Lin Y, Dai W, Zhang Z, Chen X, Ding L, Guo W, Zhu X, Xu P, Mo M. Lipid profiles in the cerebrospinal fluid of rats with 6-hydroxydopamine-induced lesions as a model of Parkinson's disease. Front Aging Neurosci 2023; 14:1077738. [PMID: 36742201 PMCID: PMC9895836 DOI: 10.3389/fnagi.2022.1077738] [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: 10/23/2022] [Accepted: 12/30/2022] [Indexed: 01/21/2023] Open
Abstract
Background Parkinson's disease (PD) is a progressive neurodegenerative disease with characteristic pathological abnormalities, including the loss of dopaminergic (DA) neurons, a dopamine-depleted striatum, and microglial activation. Lipid accumulation exhibits a close relationship with these pathologies in PD. Methods Here, 6-hydroxydopamine (6-OHDA) was used to construct a rat model of PD, and the lipid profile in cerebrospinal fluid (CSF) obtained from model rats was analyzed using lipidomic approaches. Results Establishment of this PD model was confirmed by apomorphine-induced rotation behaviors, loss of DA neurons, depletion of dopamine in the striatum, and microglial activation after 6-OHDA-induced lesion generation. Unsupervised and supervised methods were employed for lipid analysis. A total of 172 lipid species were identified in CSF and subsequently classified into 18 lipid families. Lipid families, including eicosanoids, triglyceride (TG), cholesterol ester (CE), and free fatty acid (FFA), and 11 lipid species exhibited significantly altered profiles 2 weeks after 6-OHDA administration, and significant changes in eicosanoids, TG, CE, CAR, and three lipid species were noted 5 weeks after 6-OHDA administration. During the period of 6-OHDA-induced lesion formation, the lipid families and species showed concentration fluctuations related to the recovery of behavior and nigrostriatal abnormalities. Correlation analysis showed that the levels of eicosanoids, CE, TG families, and TG (16:0_20:0_18:1) exhibited positive relationships with apomorphine-induced rotation behaviors and negative relationships with tyrosine hydroxylase (TH) expression in the midbrain. Conclusion These results revealed that non-progressive nigrostriatal degeneration induced by 6-OHDA promotes the expression of an impairment-related lipidomic signature in CSF, and the level of eicosanoids, CE, TG families, and TG (16:0_20:0_18:1) in CSF may reveal pathological changes in the midbrain after 6-OHDA insult.
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Affiliation(s)
- Jiewen Qiu
- Department of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Guoyou Peng
- Department of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yuting Tang
- Department of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Shiyin Li
- Department of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zengfu Liu
- Department of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jiayun Zheng
- Department of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yunxin Wang
- Department of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Hanqun Liu
- Department of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Lijian Wei
- Department of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yilin Su
- Department of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yuwan Lin
- Department of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Wei Dai
- Department of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zhiling Zhang
- Department of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xiang Chen
- Department of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Liuyan Ding
- Department of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Wenyuan Guo
- Department of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xiaoqin Zhu
- Department of Physiology, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, China
| | - Pingyi Xu
- Department of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Mingshu Mo
- Department of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Internal Medicine, Huilai People’s Hospital, Jieyang, China
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12
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Khate K, Chaudhary V, Longkumer I, Saraswathy KN, Devi NK. Gender-specific association of blood lipids and reproductive trajectory with cognitive impairment: A community based cross-sectional study from India. Front Psychol 2023; 14:1107152. [PMID: 36923148 PMCID: PMC10008908 DOI: 10.3389/fpsyg.2023.1107152] [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: 12/12/2022] [Accepted: 02/08/2023] [Indexed: 03/01/2023] Open
Abstract
Background Abnormal blood lipid levels in the general population and adverse reproductive events among women have been associated with cognitive impairment (CI). However, their relationship has not been extensively studied in community settings. Hence, this study aims to explore the association of CI with blood lipid levels in both sexes and reproductive events/trajectory among women. Methods A cross-sectional study was conducted among a North Indian rural population. A total of 808 adults were recruited through door-to-door household survey. Data on socio-demographic variables, reproductive profile of women, and cognitive impairment status were collected. Fasting blood sample was collected to estimate serum lipid profile. Multivariate logistic regression was performed to test for association. Results The study demonstrated a lack of association between lipid profile and cognitive impairment among males. Surprisingly, low HDL-C among females was found to be protective against moderate/severe cognitive impairment (value of p = 0.049). Further, menopausal women and those having five or higher live births were found to be at higher risk of CI than pre-menopausal women and those with 1-2 live births, respectively. Conclusion The present study hints toward a gender-specific association of blood lipid levels with CI. Further, higher live births and menopause appear to be important risk factors for CI among women.
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Affiliation(s)
- Kevingu Khate
- Department of Anthropology, University of Delhi, New Delhi, India
| | - Vineet Chaudhary
- Department of Anthropology, University of Delhi, New Delhi, India
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13
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He XY, Kuo K, Yang L, Zhang YR, Wu BS, Chen SD, Cheng W, Feng JF, Yu JT. Serum clinical laboratory tests and risk of incident dementia: a prospective cohort study of 407,190 individuals. Transl Psychiatry 2022; 12:312. [PMID: 35927253 PMCID: PMC9352702 DOI: 10.1038/s41398-022-02082-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 07/15/2022] [Accepted: 07/20/2022] [Indexed: 11/09/2022] Open
Abstract
Prevention of dementia is a public health priority, and the identification of potential biomarkers may provide benefits for early detection and prevention. This study investigates the association of common serum laboratory tests with the risk of incident dementia. Among 407,190 participants from the UK Biobank (median follow-up of 9.19 years), we investigated the linear and nonlinear effects of 30 laboratory measures on the risk of all-cause dementia using Cox models and restricted cubic spline models. We found that dementia incidence was associated with low vitamin D concentration (hazard ratio 0.994, 95% confidence interval 0.993-0.996), indicators of endocrine disorders: IGF-1 level (P for non-linearity = 1.1E-05), testosterone level (P for non-linearity = 0.006); high sex-hormone-binding globulin level (HR 1.004, 95% CI: 1.003-1.006); reduced liver function: lower alanine aminotransferase (HR 0.990, 95% CI: 0.986-0.995); renal dysfunction: cystatin C level (P for non-linearity = 0.028); oxidative stress: lower urate level (HR 0.998, 95% CI: 0.998-0.999); lipids dysregulation: lower LDL (HR 0.918, 95% CI: 0.872-0.965) and triglycerides (HR 0.924, 95% CI: 0.882-0.967) concentrations; insulin resistance: high glucose (HR 1.093, 95% CI: 1.045-1.143) and HbA1c (HR 1.017, 95% CI: 1.009-1.025) levels; immune dysbiosis: C-reactive protein (P for non-linearity = 5.5E-09). In conclusion, markers of vitamin D deficiency, GH-IGF-1 axis disorders, bioactive sex hormone deficiency, reduced liver function, renal abnormalities, oxidation, insulin resistance, immune dysbiosis, and lipids dysregulation were associated with incident dementia. Our results support a contributory role of systemic disorders and diverse biological processes to onset of dementia.
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Affiliation(s)
- Xiao-Yu He
- 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
| | - Kevin Kuo
- 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
| | - 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
| | - 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.,The Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China
| | - Wei Cheng
- The Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China
| | - Jian-Feng Feng
- The Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, 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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14
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Wang R, Yu X, Wang Z, Liu Y, Chen H, Liu S, Xu C, Chen Y, Ge X, Xia D, Chang R, Xu G, Xiang M, Wang Y, Shen T, Hu F, Cai Y. Blood lipid levels and all-cause mortality in older adults: the Chinese Longitudinal Healthy Longevity Survey 2008-2018. Epidemiol Health 2022; 44:e2022054. [PMID: 35798025 PMCID: PMC9754919 DOI: 10.4178/epih.e2022054] [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: 03/07/2022] [Accepted: 07/05/2022] [Indexed: 12/25/2022] Open
Abstract
OBJECTIVES Proper blood lipid levels are essential for survival in older adults, but inconsistent relationships have been reported between blood lipids and all-cause mortality in the elderly. METHODS This retrospective longitudinal study analyzed data from 1,067 Chinese older adults enrolled in the Chinese Longitudinal Healthy Longevity Survey collected in 2008 and followed up until death or December 31, 2018. The outcome was all-cause mortality. Multivariate Cox regression analyses were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) with stratification by age (60-80, 80-100, or ≥100 years) for further analysis. The survival probability according to lipid profile quartiles was calculated using Kaplan-Meier curves and the log-rank test. RESULTS The participants' mean age was 84.84 years, and 57.0% were female. In total, 578 individuals died, and 277 were lost to follow-up. The mean total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) levels were higher among those who died than among those who survived. Participants in the second HDL-C quartile and the highest LDL-C and triglyceride (TG) quartiles had 28% higher, 23% lower, and 49% lower risks of all-cause mortality, respectively. After further adjustment, the associations remained except for HDL-C, and additional associations were observed between all-cause mortality and the third TC and LDL-C quartiles and the second TG quartile (HR, 1.44; 95% CI, 1.01 to 2.06; HR, 0.68; 95% CI, 0.49 to 0.94; HR, 0.79; 95% CI, 0.62 to 0.99, respectively). CONCLUSIONS Older adults should maintain an LDL-C level of 1.91-2.47 mmol/L and a TG level of no less than 1.66 mmol/L.
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Affiliation(s)
- Rongxi Wang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaoyue Yu
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhiqiang Wang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yujie Liu
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hui Chen
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shangbin Liu
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chen Xu
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yingjie Chen
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xin Ge
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Danni Xia
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ruijie Chang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Gang Xu
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mi Xiang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ying Wang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tian Shen
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fan Hu
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China,Co-correspondence: Fan Hu School of Public Health, Shanghai Jiao Tong University School of Medicine, South 227 Chongqing Road, Shanghai, China E-mail:
| | - Yong Cai
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China,Correspondence: Yong Cai School of Public Health, Shanghai Jiao Tong University School of Medicine, South 227 Chongqing Road, Shanghai, China
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15
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Li X, Cao X, Ying Z, Zhang J, Sun X, Hoogendijk EO, Liu Z. Associations of Serum Albumin With Disability in Activities of Daily Living, Mobility and Objective Physical Functioning Regardless of Vitamin D: Cross-Sectional Findings From the Chinese Longitudinal Healthy Longevity Survey. Front Nutr 2022; 9:809499. [PMID: 35284431 PMCID: PMC8908380 DOI: 10.3389/fnut.2022.809499] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 01/19/2022] [Indexed: 11/17/2022] Open
Abstract
Objective To examine the associations of serum albumin, a nutrition indicator, with disability in activities of daily living (ADL), mobility, and objective physical functioning among Chinese older adults. Materials and Methods Cross-sectional data of 2233 older adults (≥65 years) who participated in the 2011/2012 main survey of the Chinese Longitudinal Healthy Longevity Survey (CLHLS) and the 2012 biomarker sub-study was used. Serum albumin was measured by immunoturbidimetric assay. Physical functioning included subjectively (ADL and mobility) and objectively measured disability (standing up from a chair, picking up a book from the floor, and turning around 360°). Multivariable logistic regression models were performed. Results After adjusting for age and sex, compared with participants in the lowest quartile group of serum albumin, those in the highest quartile group had 45% lower odds of disability in ADL (odds ratio [OR]: 0.55; 95% confidence interval [CI]: 0.38, 0.80); 48% lower odds of disability in mobility (OR: 0.52; 95% CI: 0.38, 0.71); 46% lower odds of disability in standing up from a chair (OR: 0.54; 95% CI: 0.34, 0.85); and 37% lower odds of disability in picking up a book from the floor (OR: 0.63; 95% CI: 0.40, 0.97). We did not observe a statistically significant interaction effect between serum albumin and vitamin D on disability in physical functioning. Conclusion Serum albumin level was associated with physical functioning among Chinese older adults, regardless of vitamin D level. The findings indicate that appropriate management of poor nutritional status, in particular low serum albumin levels, may contribute to maintaining physical functioning in older adults.
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Affiliation(s)
- Xueqin Li
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital and Department of Big Data in Health Science School of Public Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Xingqi Cao
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital and Department of Big Data in Health Science School of Public Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhimin Ying
- Department of Orthopedic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jingyun Zhang
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital and Department of Big Data in Health Science School of Public Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaoyi Sun
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital and Department of Big Data in Health Science School of Public Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Emiel O. Hoogendijk
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC-location VU University Medical Center, Amsterdam, Netherlands
| | - Zuyun Liu
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital and Department of Big Data in Health Science School of Public Health, Zhejiang University School of Medicine, Hangzhou, China
- Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare, Hangzhou, China
- *Correspondence: Zuyun Liu ;
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16
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Yang Z, Edwards D, Burgess S, Brayne C, Mant J. Association of major blood lipids with post-stroke dementia: a community-based cohort study. Eur J Neurol 2021; 29:968-979. [PMID: 34918445 PMCID: PMC9303428 DOI: 10.1111/ene.15219] [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: 11/10/2021] [Revised: 12/07/2021] [Accepted: 12/10/2021] [Indexed: 11/30/2022]
Abstract
Background and purpose The roles of blood low‐density lipoprotein cholesterol (LDL‐C), high‐density lipoprotein cholesterol (HDL‐C) and triglycerides in the development of post‐stroke dementia remain uncertain. This study was to investigate their potential associations. Methods A retrospective cohort study was conducted using the Clinical Practice Research Datalink. Patients with first‐ever stroke but no prior dementia were followed up for 10 years. Cox regression was used to examine the association of baseline LDL‐C, HDL‐C and triglycerides with post‐stroke dementia. Results Amongst 63,959 stroke patients, 15,879 had complete baseline data and were included in our main analysis. 10.8% developed dementia during a median of 4.6 years of follow‐up. The adjusted hazard ratio of dementia for LDL‐C (per log mmol/l increase) was 1.29 (95% confidence interval [CI] 1.14–1.47), with a linear increasing trend (p trend <0.001). The counterpart for triglycerides was 0.79 (95% CI 0.69–0.89), with a linear decreasing trend (p trend <0.001). For HDL‐C, there was no association with dementia (adjusted hazard ratio 0.89, 95% CI 0.74–1.08) or a linear trend (p trend = 0.22). Conclusions Blood lipids may affect the risk of post‐stroke dementia in different ways, with higher risk associated with LDL‐C, lower risk associated with triglycerides, and no association with HDL‐C.
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Affiliation(s)
- Zhirong Yang
- Primary Care Unit, Department of Public Health and Primary Care, School of Clinical Medicine, University of Cambridge, Cambridge, UK.,Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Duncan Edwards
- Primary Care Unit, Department of Public Health and Primary Care, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Stephen Burgess
- MRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK.,Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Carol Brayne
- Cambridge Public Health, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Jonathan Mant
- Primary Care Unit, Department of Public Health and Primary Care, School of Clinical Medicine, University of Cambridge, Cambridge, UK
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17
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Zhou J, Lv Y, Zhao F, Wei Y, Gao X, Chen C, Lu F, Liu Y, Li C, Wang J, Zhang X, Gu H, Yin Z, Cao Z, Kraus VB, Mao C, Shi X. Albumin-corrected fructosamine predicts all-cause and non-CVD mortality among the very elderly aged ≥ 80 years without diabetes. J Gerontol A Biol Sci Med Sci 2021; 77:1673-1682. [PMID: 34758092 DOI: 10.1093/gerona/glab339] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Several guidelines have suggested alternative glycemic markers for hemoglobin A1c among older adults with limited life expectancy or multiple coexisting chronic illnesses. We evaluated associations between fructosamine, albumin-corrected fructosamine (AlbF) and fasting plasma glucose (FPG) and mortality in the diabetic and non-diabetic subpopulations, compared which marker better predicts mortality among participants aged 80 and above. METHODS Included were 2,238 subjects from the Healthy Ageing and Biomarkers Cohort Study (2012-2018) and 207 participants had diabetes at baseline. Multivariable Cox proportional hazards regression models investigated the associations of fructosamine, AlbF, FPG and all-cause, cardiovascular disease (CVD), and non-CVD mortality in the diabetic and non-diabetic subpopulations. Restricted cubic splines (RCS) explored potential non-linear relations. C-statistic, integrated discrimination improvement (IDI) and net reclassification improvement (NRI) evaluated the additive value of different glycemic markers to predict mortality. RESULTS Overall, 1,191 deaths were documented during 6,793 person-years of follow-up. In the linear model, per unit increases of fructosamine, AlbF and FPG were associated with higher risk of mortality in non-diabetic participants, with hazard ratios of 1.02 (1.00, 1.05), 1.27 (1.14, 1.42) and 1.04 (0.98, 1.11) for all-cause mortality, and 1.04 (1.00, 1.07), 1.38 (1.19, 1.59) and 1.10 (1.01, 1.19) for non-CVD mortality, respectively. Comparisons indicated AlbF better predicts all-cause and non-CVD mortality in non-diabetic participants with significant improvement in IDI and NRI. CONCLUSIONS Higher concentrations of fructosamine, AlbF, and FPG were associated with higher risk of all-cause or non-CVD mortality among very elderly where AlbF may constitute an alternative prospective glycemic predictor of mortality.
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Affiliation(s)
- Jinhui Zhou
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yuebin Lv
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Feng Zhao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yuan Wei
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.,Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Xiang Gao
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Chen Chen
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Feng Lu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yingchun Liu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Chengcheng Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jiaonan Wang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.,Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Xiaochang Zhang
- Division of Non-communicable Disease and Healthy Ageing Management, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Heng Gu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhaoxue Yin
- Division of Non-communicable Disease and Healthy Ageing Management, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhaojin Cao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Virginia Byers Kraus
- Duke Molecular Physiology Institute and Division of Rheumatology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA
| | - Chen Mao
- Division of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Xiaoming Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.,Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
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18
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Minato-Inokawa S, Tsuboi A, Takeuchi M, Kitaoka K, Yano M, Kurata M, Kazumi T, Fukuo K. Associations of serum transthyretin with triglyceride in non-obese elderly Japanese women independently of insulin resistance, HDL cholesterol, and adiponectin. Diabetol Int 2021; 12:405-411. [PMID: 34567923 DOI: 10.1007/s13340-021-00496-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Accepted: 01/28/2021] [Indexed: 10/22/2022]
Abstract
Objective Studies are limited on the association between serum transthyretin (TTR), a negative acute phase reactant, and triglyceride (TG). Research design and methods TG, TTR, and insulin resistance-related cardiometabolic variables were measured in 159 fasting and 185 nonfasting community-dwelling elderly women aged 50-96 years. Pearson correlation analysis and then stepwise multiple regression analyses were performed to further identify the most significant variables contributing to the variation of fasting and nonfasting TG. Results Multiple regression analysis for fasting TG as a dependent variable revealed that TTR (standardized β: 0.299) and HDL cholesterol (standardized β: -0.545) emerged as determinants of TG independently of percentage of body fat, homeostasis model assessment insulin resistance, serum leptin and adiponectin, and plasminogen activator inhibitor-1 (PAI-1) (R 2 = 0.36). For nonfasting TG, HDL cholesterol (standardized β: - 0.461), TTR (standardized β: 0.231), nonfasting insulin, a marker of insulin resistance, (standardized β: 0.202), and PAI-1 (standardized β: 0.187) emerged as determinants independently of percentage of body fat, nonfasting glucose, serum leptin and adiponectin, and high-sensitivity C-reactive protein (R 2 = 0.45). Conclusions Fasting and nonfasting TG showed positive association with TTR in community-dwelling elderly non-obese women independently of insulin resistance, HDL cholesterol, and adiponectin. These findings may provide a clue as to a physiological function of circulating TTR in human: an influence factor of TG-rich lipoproteins in the circulation.
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Affiliation(s)
- Satomi Minato-Inokawa
- Research Institute for Nutrition Sciences, Mukogawa Women's University, 6-46, Ikebiraki-cho, Nishinomiya, Hyogo 663-8558 Japan.,Laboratory of Community Health and Nutrition, Department of Bioscience, Graduate School of Agriculture, Ehime University, Matsuyama, Ehime, Japan
| | - Ayaka Tsuboi
- Research Institute for Nutrition Sciences, Mukogawa Women's University, 6-46, Ikebiraki-cho, Nishinomiya, Hyogo 663-8558 Japan.,Department of Nutrition, Osaka City Juso Hospital, Osaka, Japan
| | - Mika Takeuchi
- Research Institute for Nutrition Sciences, Mukogawa Women's University, 6-46, Ikebiraki-cho, Nishinomiya, Hyogo 663-8558 Japan
| | - Kaori Kitaoka
- Research Institute for Nutrition Sciences, Mukogawa Women's University, 6-46, Ikebiraki-cho, Nishinomiya, Hyogo 663-8558 Japan
| | - Megumu Yano
- Research Institute for Nutrition Sciences, Mukogawa Women's University, 6-46, Ikebiraki-cho, Nishinomiya, Hyogo 663-8558 Japan
| | - Miki Kurata
- Research Institute for Nutrition Sciences, Mukogawa Women's University, 6-46, Ikebiraki-cho, Nishinomiya, Hyogo 663-8558 Japan.,Department of Food Sciences and Nutrition, Mukogawa Women's University, Nishinomiya, Hyogo Japan
| | - Tsutomu Kazumi
- Research Institute for Nutrition Sciences, Mukogawa Women's University, 6-46, Ikebiraki-cho, Nishinomiya, Hyogo 663-8558 Japan.,Department of Medicine, Kohnan Kakogawa Hospital, Kakogawa, Hyogo Japan
| | - Keisuke Fukuo
- Research Institute for Nutrition Sciences, Mukogawa Women's University, 6-46, Ikebiraki-cho, Nishinomiya, Hyogo 663-8558 Japan.,Department of Food Sciences and Nutrition, Mukogawa Women's University, Nishinomiya, Hyogo Japan
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19
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Shi H, Santos HO, de Souza IGO, Hoilat GJ, Martins CEC, Varkaneh HK, Alkhwildi JA, Hejji AT, Almuqayyid F, Abu-Zaid A. The Effect of Raloxifene Treatment on Lipid Profile in Elderly Individuals: A Systematic Review and Meta-analysis of Randomized Clinical Trials. Clin Ther 2021; 43:297-317. [PMID: 34462124 DOI: 10.1016/j.clinthera.2021.07.017] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 06/10/2021] [Accepted: 07/22/2021] [Indexed: 02/01/2023]
Abstract
PURPOSE To perform a systematic review and meta-analysis of randomized clinical trials (RCTs) to elucidate the effects of raloxifene on the lipid profile in elderly individuals. METHODS A systematic review and meta-analysis of RCTs was performed following the PRISMA statement. Data on triglycerides (TGs), total cholesterol (TC), HDL-C, and LDL-C were extracted. Relevant publications up to October 2020 were detected through searches in the PubMed/MEDLINE, Web of Science, Scopus, and Embase databases. Changes were reported as weighted mean differences (WMDs) and 95% CIs using random-effects models. FINDINGS Nine studies were selected, with a duration of intervention ranging from 2 and 12 months and a raloxifene dose of 60 to 120 mg/d. Studies were performed in healthy individuals and in those with disorders, such as osteoporosis, type 2 diabetes, and kidney disease required long-term hemodialysis. Overall, TG (WMD, -6.50 mg/dL; 95% CI, -34.18 to 21.20 mg/eL; P = 0.646), LDL-C (WMD, -17.86 mg/dL; 95% CI, -42.44 to 6.72 mg/dL; P = 0.154), and HDL-C (WMD, 2.35 mg/dL; 95% CI, -1.14 to 5.84 mg/dL; P = 0.187) levels did not change significantly after the administration of raloxifene. In contrast, TC levels decreased after raloxifene therapy (WMD, -6.59 mg/dL; 95% CI, -13.13 to -0.05 mg/dL; P = 0.048). IMPLICATIONS Raloxifene therapy decreased TC levels but did not alter TG, HDL-C, and LDL-C concentrations in elderly individuals. Regarding the LDL-C levels, although the finding lacked statistical significance, we believe that there was a mean reduction that deserves further clinical attention as much as TC.
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Affiliation(s)
- Hong Shi
- Department of Gerontology, Lanzhou University Second Hospital Lanzhou, Gansu Province, China
| | - Heitor O Santos
- School of Medicine, Federal University of Uberlandia, Uberlandia, Minas Gerais, Brazil
| | - Ivan G O de Souza
- Universidade Salvador, Escola de Ciências da Saúde, Salvador, Bahia, Brazil
| | - Gilles Jadd Hoilat
- Department of Internal Medicine, SUNY Upstate Medical University, Syracuse, New York
| | | | - Hamed Kord Varkaneh
- Department of Clinical Nutrition and Dietetics, Faculty of Nutrition and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Joud Amer Alkhwildi
- College of Medicine, Ibn Sina National College for Medical Studies, Jeddah, Saudi Arabia
| | - Aljawhara Talal Hejji
- College of Medicine, Ibn Sina National College for Medical Studies, Jeddah, Saudi Arabia
| | | | - Ahmed Abu-Zaid
- College of Medicine, Alfaisal University, Riyadh, Saudi Arabia; Department of Pharmacology, College of Graduate Health Sciences, University of Tennessee Health Science Center, Memphis, Tennessee.
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20
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Zhang T, Yan LL, Chen HS, Jin HY, Wu C. Association between allostatic load and mortality among Chinese older adults: the Chinese Longitudinal Health and Longevity Study. BMJ Open 2021; 11:e045369. [PMID: 34344673 PMCID: PMC8336121 DOI: 10.1136/bmjopen-2020-045369] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Allostatic load (AL) has shown that high burden of AL is associated with increased risk of adverse outcomes, but little attention has been paid to China with largest ageing population in the world. OBJECTIVE This study is to examine the association between AL and all-cause mortality among Chinese adults aged at least 60 years. DESIGN Population-based prospective cohort study. SETTING In 2011-2012, an ancillary study, in which a blood test was added, including a total of 2439 participants, was conducted in eight longevity areas in the Chinese Longitudinal Healthy Longevity Survey. PARTICIPANTS The final analytical sample consisted of 1519 participants (mean±SD age: men 80.5±11.3 years; women 90.2±11.8 years and 53% women). PRIMARY OUTCOME MEASURE Cox models were used to examine the association between AL and mortality among men and women, separately. Analyses were also adjusted for potential confounders including age, ethnicity, education and marital status, smoking and exercise. RESULTS Male with a medium AL burden (score: 2-4) and high AL burden (score: 5-9) had a 33% and 118% higher hazard of death, respectively, than those with a low AL burden (score: 0-1). We did not find significant difference between females with different levels of AL burden. CONCLUSION Higher AL burden was associated with increased all-cause mortality among Chinese men aged at least 60 years. However, we did not find strong association among women. In conclusion, Intervention programmes targeting modifiable components of the AL burden may help prolong lifespan for older adults, especially men, in China.
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Affiliation(s)
- Tianhang Zhang
- Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, China
- School of Public Health, Imperial College London, London, UK
| | - Lijing L Yan
- Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, China
- Duke Global Health Institute, Durham, North Carolina, USA
| | - Hua-Shuai Chen
- Center for the Study of Aging and Human Development, Duke University, Durham, North Carolina, USA
| | - Hai-Yu Jin
- Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, China
| | - Chenkai Wu
- Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, China
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21
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Dimache AM, Șalaru DL, Sascău R, Stătescu C. The Role of High Triglycerides Level in Predicting Cognitive Impairment: A Review of Current Evidence. Nutrients 2021; 13:2118. [PMID: 34203094 PMCID: PMC8234148 DOI: 10.3390/nu13062118] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 06/13/2021] [Accepted: 06/18/2021] [Indexed: 12/13/2022] Open
Abstract
The burden of cognitive disorders is huge and still growing, however the etiology and the degree of cognitive impairment vary considerably. Neurodegenerative and vascular mechanisms were most frequently assessed in patients with dementia. Recent studies have shown the possible involvement of triglycerides levels in cognitive function through putative mechanisms such as brain blood barrier dysfunction or amyloid metabolism imbalance, but not all research in the field found this association. Several clinical studies evaluated the relationship between different forms of cognitive decline and levels of serum triglycerides, independent of other cardiovascular risk factors. This review focuses on the role of triglycerides in cognitive decline, cerebral amyloidosis and vascular impairment. Considering that the management of hypertriglyceridemia benefits from lifestyle modification, diet, and specific drug therapy, future studies are requested to appraise the triglycerides-cognitive impairment relationship.
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Affiliation(s)
- Alina Mihaela Dimache
- Neurology Outpatient Clinic, Department of Chronic Diseases, Hospital of Chronic Diseases Târgu Frumos, 705300 Iași, Romania;
| | - Delia Lidia Șalaru
- Faculty of Medicine, University of Medicine and Pharmacy Grigore T. Popa, 700115 Iași, Romania; (R.S.); (C.S.)
- Institute of Cardiovascular Diseases, 700503 Iasi, Romania
| | - Radu Sascău
- Faculty of Medicine, University of Medicine and Pharmacy Grigore T. Popa, 700115 Iași, Romania; (R.S.); (C.S.)
- Institute of Cardiovascular Diseases, 700503 Iasi, Romania
| | - Cristian Stătescu
- Faculty of Medicine, University of Medicine and Pharmacy Grigore T. Popa, 700115 Iași, Romania; (R.S.); (C.S.)
- Institute of Cardiovascular Diseases, 700503 Iasi, Romania
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22
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Mize BM, Duke B, Pangle AK, Wei JY, Azhar G. Cardiovascular Health in Individuals with Exceptional Longevity Residing in Arkansas. Gerontol Geriatr Med 2021; 7:23337214211018933. [PMID: 34104686 PMCID: PMC8161845 DOI: 10.1177/23337214211018933] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 04/22/2021] [Accepted: 04/28/2021] [Indexed: 11/15/2022] Open
Abstract
Cardiovascular disease is a common comorbidity associated with an aging population. However, there is a unique group of individuals whose age-defying qualities are still being investigated. This retrospective chart review analyzed various cardiac and metabolic health parameters to characterize the prevalence of heart failure and metabolic derangements in individuals aged 90 years old or older in central Arkansas. Only 236 of the 291 patients in our study cohort had blood pressures recorded. Of these, 50% had systolic blood pressures ≥140 mmHg. Additionally, 77% had pulse pressures ≥50 mmHg. Of the 96 patients with BNP data, 44% had values ≥300 pg/mL. There was a slight positive correlation between aging and HDL cholesterol, while there was a negative correlation between aging and both total cholesterol and LDL cholesterol. A majority of our patients had both elevated systolic blood pressures and elevated pulse pressures. A majority also had high BNP values, indicative of some degree of heart failure. Additionally, atrial fibrillation was a common arrhythmia identified on EKG. However, these oldest of the old patients had fewer documented metabolic derangements. These findings lay important groundwork for further investigation into lifestyle and genetic components that allow them to live exceptionally long with such comorbidities.
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23
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Abstract
PURPOSE OF REVIEW People over 90 are the fastest growing segment of the population with the highest rates of dementia. This review highlights recent findings that provide insight to our understanding of dementia and cognition at all ages. RECENT FINDINGS Risk factors for Alzheimer's disease (AD) and dementia differ by age, with some factors, like the development of hypertension, actually becoming protective in the oldest-old. At least half of all dementia in this age group is due to non AD pathologies, including microinfarcts, hippocampal sclerosis and TDP-43. The number of pathologic changes found in the brain is related to both risk and severity of dementia, but many people in this age group appear to be 'resilient' to these pathologies. Resilience to Alzheimer pathology, in part, may be related to absence of other pathologies, and imaging and spinal fluid biomarkers for AD have limited utility in this age group. SUMMARY Studies of dementia in the oldest-old are important for our understanding and eventual treatment or prevention of dementia at all ages.
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Affiliation(s)
- Claudia H. Kawas
- Department of Neurology and Department of Neurobiology & Behavior, University of California, Irvine, Irvine, California, USA
| | - Nienke Legdeur
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC and Department of Internal Medicine, Spaarne Gasthuis, Haarlem, the Netherlands
| | - María M. Corrada
- Department of Neurology and Department of Epidemiology, University of California, Irvine, Irvine, California, USA
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24
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Borders C, Sajjadi SA. Diagnosis and Management of Cognitive Concerns in the Oldest-Old. Curr Treat Options Neurol 2021; 23:10. [PMID: 33786000 PMCID: PMC7994350 DOI: 10.1007/s11940-021-00665-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/11/2021] [Indexed: 11/30/2022]
Abstract
Purpose of review The fastest-growing group of elderly individuals is the "oldest-old," usually defined as those age 85 years and above. These individuals account for much of the rapid increase in cases of dementing illness throughout the world but remain underrepresented in the body of literature on this topic. The aim of this review is first to outline the unique contributing factors and complications that must be considered by clinicians in evaluating an oldest-old individual with cognitive complaints. Secondly, the evidence for management of these cognitive concerns is reviewed. Recent findings In addition to well-established associations between impaired cognition and physical disability, falls, and frailty, there is now evidence that exercise performed decades earlier confers a cognitive benefit in the oldest-old. Moreover, though aggressive blood pressure control is critical earlier in life for prevention of strokes, renal disease, and other comorbidities, hypertension started after age 80 is in fact associated with a decreased risk of clinical dementia, carrying significant implications for the medical management of oldest-old individuals. The oldest-old are more likely to reside in care facilities, where social isolation might be exacerbated by a consistently lower rate of internet-connected device use. The COVID-19 pandemic has not only highlighted the increased mortality rate among the oldest-old but has also brought the increased social isolation in this group to the forte. Summary Differing from the "younger-old" in a number of respects, the oldest-old is a unique population not just in their vulnerability to cognitive disorders but also in the diagnostic challenges they can pose. The oldest-old are more likely to be afflicted by sensory deficits, physical disability, poor nutrition, frailty, and depression, which must be accounted for in the assessment of cognitive complaints as they may confound or complicate the presentation. Social isolation and institutionalization are also associated with impaired cognition, perhaps as sequelae, precipitants, or both. Ante-mortem diagnostic tools remain particularly limited among the oldest-old, especially given the likelihood of these individuals to have multiple co-occurring types of neuropathology, and the presence of neuropathology in those who remain cognitively intact. In addition to the symptomatic treatments indicated for patients of all ages with dementia, management of cognitive impairment in the oldest-old may be further optimized by use of assistive devices, augmentation of dietary protein, and liberalization of medication regimens for risk factors such as hypertension.
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Affiliation(s)
- Candace Borders
- Department of Neurology, University of California, Irvine, CA USA
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25
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Takahara M, Shiraiwa T, Maeno Y, Yamamoto K, Shiraiwa Y, Yoshida Y, Nishioka N, Katakami N, Matsuoka TA, Shimomura I. Association of obesity, diabetes, and physical frailty with dental and tongue-lip motor dysfunctions in patients with metabolic disease. Obes Res Clin Pract 2021; 15:243-248. [PMID: 33692009 DOI: 10.1016/j.orcp.2021.02.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2020] [Revised: 02/12/2021] [Accepted: 02/22/2021] [Indexed: 12/28/2022]
Abstract
OBJECTIVE This study aimed to reveal the clinical features associated with decreased dental (or shearing/crushing) and tongue-lip motor functions in patients with metabolic diseases. METHODS One thousand patients with metabolic diseases including diabetes, dyslipidemia, hypertension, and hyperuricemia were recruited. Dental function was assessed with a gummy jelly test, wherein glucose elution from a chewed gummy jelly was measured. Tongue-lip motor function was measured as repeatedly pronounced syllables per second. The association of clinical variables with the two functions was analyzed using multivariate linear regression models. RESULTS The mean measurement of dental function was 202 ± 73 mg/dL, and that of tongue-lip motor function was 5.5 ± 1.0 times/s. Clinical variables independently associated with dental function (mg/dL) were age (adjusted regression coefficient β = -9.8 per standard deviation [SD]), smoking (β = -14.4 and -25.9 for past and current smoking, respectively), body mass index (BMI) 25-30 and ≥30 versus 20-25 kg/m2 (β = -14.7 and -23.1, respectively), diabetes (β = -11.9), hemoglobin A1c level ≥64 mmol/mol (β = -14.6), gait speed (β = 6.2 per SD), and handgrip strength (β = 7.5 and 7.7 per SD for males and females, respectively) (all P < 0.05). Clinical variables independently associated with tongue-lip motor function (times/s) were age (β = -0.31 per SD), BMI ≥ 30 versus 20-25 kg/m2 (β = -0.24), diabetes (β = -0.22), dyslipidemia (β = 0.16), gait speed (β = 0.12 per SD), and handgrip strength (β = 0.18 and 0.13 per SD for males and females, respectively) (all P < 0.05). CONCLUSIONS Obesity, diabetes, physical frailty, and old age were shared risk factors for decreased dental and tongue-lip motor functions in patients with metabolic diseases.
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Affiliation(s)
- Mitsuyoshi Takahara
- Department of Diabetes Care Medicine, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita 565-0871, Japan.
| | - Toshihiko Shiraiwa
- Shiraiwa Medical Clinic, 4-10-24 Hozenji, Kashiwara, Osaka 582-0005, Japan
| | - Yoshifumi Maeno
- Shiraiwa Medical Clinic, 4-10-24 Hozenji, Kashiwara, Osaka 582-0005, Japan
| | - Kaoru Yamamoto
- Shiraiwa Medical Clinic, 4-10-24 Hozenji, Kashiwara, Osaka 582-0005, Japan
| | - Yuka Shiraiwa
- Shiraiwa Medical Clinic, 4-10-24 Hozenji, Kashiwara, Osaka 582-0005, Japan
| | - Yoko Yoshida
- Shiraiwa Medical Clinic, 4-10-24 Hozenji, Kashiwara, Osaka 582-0005, Japan
| | - Norio Nishioka
- Shiraiwa Medical Clinic, 4-10-24 Hozenji, Kashiwara, Osaka 582-0005, Japan
| | - Naoto Katakami
- Department of Metabolism and Atherosclerosis, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita 565-0871, Japan
| | - Taka-Aki Matsuoka
- Department of Metabolic Medicine, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita 565-0871, Japan
| | - Iichiro Shimomura
- Department of Metabolic Medicine, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita 565-0871, Japan
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26
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Wang S, Jia W, Yang S, Han K, Cao W, Ren X, Li J, Tai P, Kou F, Liu M, He Y. The Role of BMI and Blood Pressure in the Relationship Between Total Cholesterol and Disability in Chinese Centenarians: A Cross-Sectional Study. Front Med (Lausanne) 2021; 8:608941. [PMID: 33665198 PMCID: PMC7921456 DOI: 10.3389/fmed.2021.608941] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Accepted: 01/26/2021] [Indexed: 12/26/2022] Open
Abstract
Background: Lower serum lipid metabolism might be associated with the decline of activity of daily living in the extreme longevity group. However, studies on models and possible paths of this correlation between total cholesterol (TC) and disability in centenarians are scarce. The aim of this study was to verify this correlation and explore the mediating effect of BMI and blood pressure on this relationship in Hainan centenarians. Methods: We conducted a cross-sectional analysis of 1002 centenarians from the China Hainan Centenarians Cohort Study (CHCCS). Data on demographics, anthropometry data, lifestyle, and TC levels were collected through interviews, physical examinations, and laboratory tests. The Barthel index and Lawton index, measuring the disability status, were used to estimate the activity of daily living (ADL) and instrumental activity of daily living (IADL). A multivariable logistic regression model was used to explore the correlation between disability and TC levels. Mediation analyses were used to explore the both direct and indirect effects of TC level on disability. Results: After adjusting for covariates, with 1 mmol/L increment in TC, the adjusted odds ratios (ORs) of ADL severe disability and ADL moderate & severe disability were 0.789(95%CI: 0.650-0.959) and 0.822(95%CI: 0. 0.699-0.966), respectively. There was a significant declining trend in the prevalence of different types of disability with increment in TC. The correlation was more pronounced among Hainan female centenarians. In the analysis of mediating effect among the female population, BMI significantly mediated the effect of TC levels on different types of disability. BMI and SBP, as chain mediators, multiply and chain mediated the effect of TC levels on IADL. Conclusion: Low TC levels might be correlated with a higher frequency of disability in female centenarians, and this correlation might be mediated by BMI and blood pressure.
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Affiliation(s)
- Shengshu Wang
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Wangping Jia
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Shanshan Yang
- Department of Disease Prevention and Control, The 1st Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Ke Han
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Wenzhe Cao
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Xueling Ren
- Department of Respiratory, The 2nd Medical Center, Chinese People's Liberation Army General Hospital, Beijing, China
| | - Jing Li
- Medical Service Department, The 5th Medical Center, Chinese People's Liberation Army General Hospital, Beijing, China
| | - Penggang Tai
- Medical Service Department, Chinese People's Liberation Army General Hospital, Beijing, China
| | - Fuyin Kou
- Medical Service Department, Chinese People's Liberation Army General Hospital, Beijing, China
| | - Miao Liu
- Department of Statistics and Epidemiology, Graduate School of Chinese PLA General Hospital, Beijing, China
| | - Yao He
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center of Chinese PLA General Hospital, Beijing, China
- State Key Laboratory of Kidney Diseases, Chinese People's Liberation Army General Hospital, Beijing, China
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Hirata A, Okamura T, Hirata T, Sugiyama D, Ohkubo T, Okuda N, Kita Y, Hayakawa T, Kadota A, Kondo K, Miura K, Okayama A, Ueshima H. Relationship between non-fasting triglycerides and cardiovascular disease mortality in a 20-year follow-up study of a Japanese general population: NIPPON DATA90. J Epidemiol 2021; 32:303-313. [PMID: 33456020 PMCID: PMC9189318 DOI: 10.2188/jea.je20200399] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Background Non-fasting triglycerides (TG) are considered a better predictor of cardiovascular disease (CVD) than fasting TG. However, the effect of non-fasting TG on fatal CVD events remains unclear. In the present study, we aimed to explore the relationship between non-fasting TG and CVD mortality in a Japanese general population. Methods A total of 6,831 participants without a history of CVD, in which those who had a blood sampling over 8 hours or more after a meal were excluded, were followed for 18.0 years. We divided participants into seven groups according to non-fasting TG levels: ≤59 mg/dL, 60–89 mg/dL, 90–119 mg/dL, 120–149 mg/dL, 150–179 mg/dL, 180–209 mg/dL, and ≥210 mg/dL, and estimated the multivariable-adjusted hazard ratios (HRs) of each TG group for CVD mortality after adjusting for potential confounders, including high density lipoprotein cholesterol. Additionally, we performed analysis stratified by age <65 and ≥65 years. Results During the follow-up period, 433 deaths due to CVD were detected. Compared with a non-fasting TG of 150–179 mg/dL, non-fasting TG ≥210 mg/dL was significantly associated with increased risk for CVD mortality (HR 1.56: 95% CI, 1.01–2.41). Additionally, lower levels of non-fasting TG were also significantly associated with increased risk for fatal CVD. In participants aged ≥65 years, lower levels of non-fasting TG had a stronger impact on increased risk for CVD mortality, while higher levels of non-fasting TG had a stronger impact in those aged <65 years. Conclusion In a general Japanese population, we observed a U-shaped association between non-fasting TG and fatal CVD events.
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Affiliation(s)
- Aya Hirata
- Department of Preventive Medicine and Public Health, Keio University School of Medicine
| | - Tomonori Okamura
- Department of Preventive Medicine and Public Health, Keio University School of Medicine
| | - Takumi Hirata
- Department of Public Health, Hokkaido University Faculty of Medicine
| | | | - Takayoshi Ohkubo
- Department of Hygiene and Public Health, Teikyo University School of Medicine
| | - Nagako Okuda
- Department of Health and Nutrition, University of Human Arts and Sciences
| | | | - Takehito Hayakawa
- Research Center for Social Studies of Health and Community, Ritsumeikan University
| | - Aya Kadota
- Department of Public Health, Shiga University of Medical Science
| | - Keiko Kondo
- Department of Public Health, Shiga University of Medical Science
| | - Katsuyuki Miura
- Department of Public Health, Shiga University of Medical Science.,Center for Epidemiologic Research in Asia, Shiga University of Medical Science
| | | | - Hirotsugu Ueshima
- Department of Public Health, Shiga University of Medical Science.,Center for Epidemiologic Research in Asia, Shiga University of Medical Science
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28
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Han KT, Kim SJ. Are serum cholesterol levels associated with cognitive impairment and depression in elderly individuals without dementia?: A retrospective cohort study in South Korea. Int J Geriatr Psychiatry 2021; 36:163-173. [PMID: 32830355 DOI: 10.1002/gps.5410] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Revised: 08/10/2020] [Accepted: 08/14/2020] [Indexed: 12/27/2022]
Abstract
OBJECTIVES As aging progresses, older adults experience several health changes, including changes in cholesterol levels, which increases their risk for other diseases. Older adults are particularly vulnerable to cognitive impairment and depression, which may be due to several factors. The aim of this study was to evaluate the association between serum cholesterol level and cognitive impairment and depression in older adults. METHODS This study used senior cohort data from the National Health Insurance Service of South Korea. A total of 128 371 participants contributed repeated measures to this dataset. Cognitive impairment was measured via a self-reported questionnaire and depression was measured using claim data. Generalized estimating equations were used to identify associations between serum cholesterol level and cognitive impairment and depression, including subgroup analyses by sex. RESULTS There was no significant association between low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), or triglycerides (TG) with cognitive impairment. Low high-density lipoprotein cholesterol (HDL-C) was significantly associated with a higher risk of cognitive impairment, whereas high HDL-C was associated with lower cognitive impairment. Higher LDL-C was significantly associated with lower depression. Higher TC also was significantly associated with depression. CONCLUSION HDL-C is associated with depressive symptoms, and may be a key factor in predicting psychiatric symptoms or cognitive decline. Our study suggest that routine health screenings may aid in the early detection of high-risk individuals.
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Affiliation(s)
- Kyu-Tae Han
- Division of Cancer Management Policy, National Cancer Center, Goyang, Republic of Korea
| | - Seung Ju Kim
- Department of Nursing, College of Nursing, Eulji University, Seongnam, Republic of Korea
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29
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Aging and Vascular Compliance in Hypertensive Patients Mirrored in Routine Investigations. CURRENT HEALTH SCIENCES JOURNAL 2021; 47:367-376. [PMID: 35003768 PMCID: PMC8679155 DOI: 10.12865/chsj.47.03.06] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Accepted: 09/28/2021] [Indexed: 11/24/2022]
Abstract
UNLABELLED The global prevalence of arterial hypertension is increasing. Due to its consequences, hypertension is a leading cause of morbidity /mortality. In this regard, awareness of the importance of diagnosis as well as proper treatment of hypertension is mandatory. OBJECTIVES This study aims to analyze vascular compliance and different pressure characteristics depending on age, along with highlighting some clinical-paraclinical correlations in people diagnosed with hypertension. We used usual laboratory analyzes and the blood pressure values obtained using ABPM/24 hr, in addition to highlighting the impact of age on those parameters. MATERIALS AND METHODS The sample comprises of 99 adults diagnosed with hypertension. We divided them into 2 groups, according to age: cases sample: 52 patients (age> 60 years old) and control sample: 47 patients (age< 60 years old). RESULTS In the control group, RDW was correlated with the general and diurnal systolic and diastolic hypertonicity indexes and the platelet count was positively correlated only with the morning surge. The dipping profile correlates negatively with RDW. In the elderly, all three systolic blood pressure parameters are influenced by ESR and also correlate negatively with HDL, with an inverse proportional relationship. Statistically significant correlations were found between blood glucose and diurnal systolic and diastolic hypertonicity indexes. Mean Pulse Pressure correlates in the elderly with HDL (negative correlations) and in the young with RDW (positive correlations). CONCLUSIONS Vascular compliance can be estimated with the help of HDL in the elderly and RDW in young people, considering the influence of the two parameters on pulse pressure.
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30
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Chen MZ, Wong MWK, Lim JY, Merchant RA. Frailty and Quality of Life in Older Adults with Metabolic Syndrome - Findings from the Healthy Older People Everyday (HOPE) Study. J Nutr Health Aging 2021; 25:637-644. [PMID: 33949631 DOI: 10.1007/s12603-021-1609-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
OBJECTIVES Metabolic syndrome (MetS) and frailty are both associated with increased morbidity and mortality. Frailty is associated with reduced quality of life (QoL) but association of QoL with MetS have produced mixed results suggesting that other factors such as disease burden, obesity and depression may have a more significant influence. We aim to investigate the demographics of frail participants with MetS, and relationship between frailty and QoL in MetS. METHODS Cross-sectional population study involving 292 older adults ≥ 65 years with MetS. MetS was defined using the Modified ATP III for Asians which requires the presence of 3 or more of the following 5 components 1) waist circumference ≥ 90cm for males or ≥ 80cm for females, 2) TG ≥ 150mg/dL, 3) HDLc < 40mg/dL in males or < 50mg/dL in females, 4) blood pressure ≥ 130/85mmHg or use of anti-hypertensive medication, and 5) fasting plasma glucose ≥ 100mg/dL or use of pharmacological treatment for diabetes mellitus. Data were collected on demographics, frailty (FRAIL), QoL (Euroqol-5D), perceived health, functional status, cognition, Timed-Up-and-Go (TUG), and hand-grip strength (HGS). RESULTS 40.4% of the participants were pre-frail (MetSprefrail) and 7.2% were frail (MetSfrail). MetSfrail were significantly older, had lower education level, higher polypharmacy burden and higher prevalence of diabetes. The prevalence of at least 1 activity of daily living impairment was 4 times higher, and depression 9 times higher than their robust counterparts. MetSfrail also had longer TUG, higher prevalence of poor grip strength and poor perceived health. After adjusting for age, gender and education, MetSfrail was significantly associated with much higher odds of EQ-5D moderate to extreme problems with mobility (Odds Ratio (OR) =10.99, CI 2.62-46.14), usual activities (OR=37.82, CI 3.77-379.04) and pain (OR=10.79, CI 3.18-36.62). EQ-5D Index Value and Perceived Health improved by 0.1 (Mean Difference (MD) =0.07, CI 0.04-0.10) and 6.0 (MD=6.01, CI 3.29-8.73) respectively as frailty status improved. CONCLUSION Frailty in MetS is associated with depression, polypharmacy, greater functional impairment, poorer QoL and perceived health. Frailty screening and personalized management is crucial in MetS as frailty may be a mediator for negative outcomes in MetS, and frailty may be reversible.
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Affiliation(s)
- M Z Chen
- Associate Professor Reshma A Merchant, Division of Geriatric Medicine, Department of Medicine, National University Hospital, Singapore 119228, , Telephone number: +65 6779 5555
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31
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Yu X, Bian B, Huang J, Yao W, Wu X, Huang J, Wang J, Yang Q, Ning X. Determinants of carotid intima-media thickness in asymptomatic elders: a population-based cross-sectional study in rural China. Postgrad Med 2020; 132:544-550. [PMID: 32297560 DOI: 10.1080/00325481.2020.1757266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Objective: To examine the mean carotid intima-media thickness (CIMT) and potentially relevant determinants of increased CIMT in elders. Method: Stroke-free and cardiovascular disease-free residents aged ≥65 years were recruited in a low-income population in China. B-mode ultrasonography was performed to measure CIMT. Results: A total of 1039 individuals (47.9% men) were recruited. The mean CIMT value was 0.60 (SD: 0.09) mm. The mean CIMT was 24.07 (SEM: 6.52) µm greater in men than in women (P < 0.001) and 28.29 (SEM: 7.47) µm greater in patients with hypertension than in those without hypertension (P < 0.001). Moreover, the mean CIMT increased by 1.53 (SEM: 0.49) µm for each 1-year increase in age (P = 0.002). However, the mean CIMT decreased by 5.55 (SEM: 2.40) μm and 6.45 (SEM: 2.62) μm for every 1-mmol/L increase in triglyceride concentration and the high-density lipoprotein cholesterol: low-density lipoprotein cholesterol ratio, respectively (P < 0.05). However, high triglyceride level was negatively associated with mean CIMT only among individuals without metabolic syndrome (P = 0.036). Discussion: These findings suggest that there is an urgent need to delay atherosclerosis progression and reduce the stroke burden by managing hypertension, especially for men. Moreover, to decrease the stroke burden in rural China, caution is advised regarding lipid-lowering treatment in elderly patients without metabolic syndrome.
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Affiliation(s)
- Xuefang Yu
- Department of Cardiology, Tianjin Medical University General Hospital , Tianjin, China
| | - Bo Bian
- Department of Cardiology, Tianjin Medical University General Hospital , Tianjin, China
| | - Jinyong Huang
- Department of Cardiology, Tianjin Medical University General Hospital , Tianjin, China
| | - Wei Yao
- Department of Cardiology, Tianjin Medical University General Hospital , Tianjin, China
| | - Xianming Wu
- Department of Cardiology, Tianjin Medical University General Hospital , Tianjin, China
| | - Jingjing Huang
- Department of Cardiology, Tianjin Medical University General Hospital , Tianjin, China
| | - Jinghua Wang
- Department of Neurology, Tianjin Medical University General Hospital , Tianjin, China.,Laboratory of Epidemiology, Tianjin Neurological Institute , Tianjin, China.,Key Laboratory of Post-Neuroinjury Neuro-repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin Neurological Institute , Tianjin, China
| | - Qing Yang
- Department of Cardiology, Tianjin Medical University General Hospital , Tianjin, China
| | - Xianjia Ning
- Department of Neurology, Tianjin Medical University General Hospital , Tianjin, China.,Laboratory of Epidemiology, Tianjin Neurological Institute , Tianjin, China.,Key Laboratory of Post-Neuroinjury Neuro-repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin Neurological Institute , Tianjin, China
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Buyo M, Takahashi S, Iwahara A, Tsuji T, Yamada S, Hattori S, Uematsu Y, Arita M, Ukai S. Metabolic Syndrome and Cognitive Function: Cross-Sectional Study on Community-Dwelling Non-Demented Older Adults in Japan. J Nutr Health Aging 2020; 24:878-882. [PMID: 33009539 DOI: 10.1007/s12603-020-1412-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
AIM This is a cross-sectional study of relation between metabolic syndrome and cognitive function in community-dwelling non-demented older adults in Japan. We examine the effect of metabolic syndrome and its components on global cognitive function. We also aim to clarify differences of specific cognitive domains between the subjects with and without metabolic syndrome. METHODS We studied 2150 subjects aged between 60 and 90 years whose scores on mini mental state examination (MMSE) were over 23 points. We analyzed difference in MMSE scores between the subjects with and without metabolic syndrome. Logistic regression analysis was performed with MMSE score as the dependent variable and metabolic syndrome components as the independent variable adjusted with age. We also examined differences in attention, logical memory, and verbal and category fluency between the subjects with and without metabolic syndrome. RESULTS MMSE scores were not significantly different between subjects with and without metabolic syndrome. In logistic regression analysis, the score of MMSE was significantly negatively associated with triglycerides in males and significantly negatively associated with abdominal circumference in females. Subjects with metabolic syndrome showed significantly lower performance of attention tasks compared to subjects without metabolic syndrome. CONCLUSIONS Our results suggest that in community-dwelling non-demented Japanese older adults, attention but not global cognitive function may be impaired by metabolic syndrome. Inverted association between some components of metabolic syndrome and global cognitive function indicate necessity of further studies on the relation between undernutrition and cognitive function.
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Affiliation(s)
- M Buyo
- Momoko Buyo CNS MSN RN, Department of Neuropsychiatry, Wakayama Medical University, 811-1, Kimiidera, Wakayama, 641-0012 Japan, Telephone: +81-73-441-0759, Fax: +81-73-441-0769, E-mail:
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U-shaped association between low-density lipid cholesterol and diabetes mellitus in patients with hypertension. Lipids Health Dis 2019; 18:163. [PMID: 31421673 PMCID: PMC6698332 DOI: 10.1186/s12944-019-1105-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2019] [Accepted: 08/12/2019] [Indexed: 12/21/2022] Open
Abstract
Background The magnitude and direction of association of low-density lipid cholesterol (LDL-C) with diabetes mellitus (DM) might differ by hypertensive status, but there is limited epidemiological evidence in China. Methods We examined the association between LDL-C levels and DM in 9892 participants with hypertension using logistic regression. Participants were stratified into three groups according to LDL-C levels (desirable, borderline high or high), then further divided into quartiles. Restricted cubic spline regression models, subgroup analysis and interaction tests were also conducted to evaluate the shape of association. Results After adjusting for covariates, lower LDL-C had a significant and inverse association with the likelihood of DM in all participants (OR: 0.944, 95% CI = 0.893, 0.998). In participants with desirable LDL-C concentrations (< 3.4 mmol/L), LDL-C protected against DM (OR = 1.240, 95% CI = 1.076, 1.429 per 1 mmol/L decrease). In participants with higher LDL-C concentrations (> 4.1 mmol/L), LDL-C increased the DM likelihood (OR = 1.536, 95% CI = 1.126, 2.096 per 1 mmol/L increase). Restricted cubic spline regression also found a U-shaped association between LDL-C levels and DM prevalence. Conclusions There was a U-shaped association between LDL-C levels and DM in Chinese patients with hypertension. Electronic supplementary material The online version of this article (10.1186/s12944-019-1105-5) contains supplementary material, which is available to authorized users.
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Costa D, Scognamiglio M, Fiorito C, Benincasa G, Napoli C. Genetic background, epigenetic factors and dietary interventions which influence human longevity. Biogerontology 2019; 20:605-626. [PMID: 31309340 DOI: 10.1007/s10522-019-09824-3] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2019] [Accepted: 07/10/2019] [Indexed: 02/07/2023]
Abstract
Longevity is mainly conditioned by genetic, epigenetic and environmental factors. Different genetic modifications seem to be positively associated to longevity, including SNPs in SIRT1, APOE, FOXO3A, ACE, ATM, NOS1 and NOS2 gene. Epigenetic changes as DNA hyper- and hypo-methylation influence significantly human longevity by activating/deactivating different genes involved in physiological mechanisms. Several studies have confirmed that centenarians have a lower DNA methylation content compared to young subjects, which showed more homogeneously methylated DNA region. Also the up-regulation of miR-21 seems to be more associated with longevity in different populations of long-lived subjects, suggesting its role as potential epigenetic biomarkers. A non-pharmacological treatment that seems to contrast age-related diseases and promote longevity is represented by dietary intervention. It has been evaluated the effects of dietary restriction of both single nutrients or total calories to extend lifespan. However, in daily practice it is very difficult to guarantee adherence/compliance of the subjects to dietary restriction and at the same time avoid dangerous nutritional deficiencies. As consequence, the attention has focused on a variety of substances both drugs and natural compounds able to mime the beneficial effects of caloric restriction, including resveratrol, quercetin, rapamycin, metformin and 2-deoxy-D-glucose.
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Affiliation(s)
- Dario Costa
- U.O.C. of Clinical Immunology, Immunohematology, Transfusion Medicine and Transplant Immunology, Clinical Department of Internal Medicine and Specialistics, University of Campania "L. Vanvitelli", Piazza Miraglia, 2, 80138, Naples, Italy.
| | - Michele Scognamiglio
- U.O.C. of Clinical Immunology, Immunohematology, Transfusion Medicine and Transplant Immunology, Clinical Department of Internal Medicine and Specialistics, University of Campania "L. Vanvitelli", Piazza Miraglia, 2, 80138, Naples, Italy
| | - Carmela Fiorito
- U.O.C. of Clinical Immunology, Immunohematology, Transfusion Medicine and Transplant Immunology, Clinical Department of Internal Medicine and Specialistics, University of Campania "L. Vanvitelli", Piazza Miraglia, 2, 80138, Naples, Italy
| | - Giuditta Benincasa
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Claudio Napoli
- U.O.C. of Clinical Immunology, Immunohematology, Transfusion Medicine and Transplant Immunology, Clinical Department of Internal Medicine and Specialistics, University of Campania "L. Vanvitelli", Piazza Miraglia, 2, 80138, Naples, Italy.,Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
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