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Mather MA, Ho EH, Bedjeti K, Karpouzian-Rogers T, Rogalski EJ, Gershon R, Weintraub S. Measuring Multidimensional Aspects of Health in the Oldest Old Using the NIH Toolbox: Results From the ARMADA Study. Arch Clin Neuropsychol 2024:acad105. [PMID: 38216151 DOI: 10.1093/arclin/acad105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 09/27/2023] [Accepted: 11/20/2023] [Indexed: 01/14/2024] Open
Abstract
OBJECTIVE The percentage of older adults living into their 80s and beyond is expanding rapidly. Characterization of typical cognitive performance in this population is complicated by a dearth of normative data for the oldest old. Additionally, little attention has been paid to other aspects of health, such as motor, sensory, and emotional functioning, that may interact with cognitive changes to predict quality of life and well-being. The current study used the NIH Toolbox (NIHTB) to determine age group differences between persons aged 65-84 and 85+ with normal cognition. METHOD Participants were recruited in two age bands (i.e., 65-84 and 85+). All participants completed the NIHTB Cognition, Motor, Sensation, and Emotion modules. Independent-samples t-tests determined age group differences with post-hoc adjustments using Bonferroni corrections. All subtest and composite scores were then regressed on age and other demographic covariates. RESULTS The 65-84 group obtained significantly higher scores than the 85+ group across all cognitive measures except oral reading, all motor measures except gait speed, and all sensation measures except pain interference. Age remained a significant predictor after controlling for covariates. Age was not significantly associated with differences in emotion scores. CONCLUSIONS Results support the use of the NIHTB in persons over 85 with normal cognition. As expected, fluid reasoning abilities and certain motor and sensory functions decreased with age in the oldest old. Inclusion of motor and sensation batteries is warranted when studying trajectories of aging in the oldest old to allow for multidimensional characterization of health.
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Affiliation(s)
- Molly A Mather
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Emily H Ho
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Katy Bedjeti
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Tatiana Karpouzian-Rogers
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Emily J Rogalski
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Richard Gershon
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Sandra Weintraub
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
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Jhon M, Shin MH, Yoon KC, Kim JS, Lee J, Park K, Park SC. The relationship between depressive mood and subjective health in centenarians and near-centenarians: a cross-sectional study from Korean centenarian cohort. Aging Male 2023; 26:2257302. [PMID: 37812685 DOI: 10.1080/13685538.2023.2257302] [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: 07/17/2023] [Accepted: 09/06/2023] [Indexed: 10/11/2023] Open
Abstract
BACKGROUND With the rapid increase in population longevity, more clinical attention is being paid to the overall health of long-lived people, especially centenarians. Subjective health, which is the perception of one's health status, predicts both mortality and declining physical function in older adults. The purpose of this study was to investigate the factors related to subjective health among centenarians and near-centenarians (ages ≥95) living in a rural area of South Korea. METHODS A total of 101 participants were enrolled from four different regions (Gurye, Gokseong, Sunchang, and Damyang), known as the Longevity Belt in Korea. Variables assessing physical and mental health, including the results of blood tests, were examined. Factors associated with good subjective health were identified with logistic regression analysis. RESULTS Fifty-six participants (59.6%) were subjectively healthy among the centenarians and near-centenarians. Logistic regression analysis revealed that depressive mood was the only factor associated with subjective health and was negatively correlated. The regression model explained 39% of the variance in subjective health. CONCLUSIONS These findings emphasize the importance of mental health at very advanced ages. Because depressive mood negatively correlates with subjective health, more attention is needed to prevent and manage mood symptoms of people of advanced ages, including centenarians.
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Affiliation(s)
- Min Jhon
- Department of Psychiatry, Chonnam National University Hospital, Gwangju, Korea
| | - Min-Ho Shin
- Department of Preventive Medicine, Chonnam National University Medical School, Hwasun, Korea
- Advanced Institute of Aging Science, Chonnam National University, Gwangju, Korea
| | - Kyung Chul Yoon
- Department of Ophthalmology, Chonnam National University Medical School, Gwangju, Korea
- Advanced Institute of Aging Science, Chonnam National University, Gwangju, Korea
| | - Jeong-Sun Kim
- College of Nursing, Chonnam National University, Gwangju, Korea
- Advanced Institute of Aging Science, Chonnam National University, Gwangju, Korea
| | - Jeonghwa Lee
- Department of Family Environment and Welfare, Chonnam National University, Gwangju, Korea
- Advanced Institute of Aging Science, Chonnam National University, Gwangju, Korea
| | - Kwangsung Park
- Department of Urology, Chonnam National University Medical School, Gwangju, Korea
- Advanced Institute of Aging Science, Chonnam National University, Gwangju, Korea
| | - Sang Chul Park
- Advanced Institute of Aging Science, Chonnam National University, Gwangju, Korea
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3
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Bao H, Cao J, Chen M, Chen M, Chen W, Chen X, Chen Y, Chen Y, Chen Y, Chen Z, Chhetri JK, Ding Y, Feng J, Guo J, Guo M, He C, Jia Y, Jiang H, Jing Y, Li D, Li J, Li J, Liang Q, Liang R, Liu F, Liu X, Liu Z, Luo OJ, Lv J, Ma J, Mao K, Nie J, Qiao X, Sun X, Tang X, Wang J, Wang Q, Wang S, Wang X, Wang Y, Wang Y, Wu R, Xia K, Xiao FH, Xu L, Xu Y, Yan H, Yang L, Yang R, Yang Y, Ying Y, Zhang L, Zhang W, Zhang W, Zhang X, Zhang Z, Zhou M, Zhou R, Zhu Q, Zhu Z, Cao F, Cao Z, Chan P, Chen C, Chen G, Chen HZ, Chen J, Ci W, Ding BS, Ding Q, Gao F, Han JDJ, Huang K, Ju Z, Kong QP, Li J, Li J, Li X, Liu B, Liu F, Liu L, Liu Q, Liu Q, Liu X, Liu Y, Luo X, Ma S, Ma X, Mao Z, Nie J, Peng Y, Qu J, Ren J, Ren R, Song M, Songyang Z, Sun YE, Sun Y, Tian M, Wang S, Wang S, Wang X, Wang X, Wang YJ, Wang Y, Wong CCL, Xiang AP, Xiao Y, Xie Z, Xu D, Ye J, Yue R, Zhang C, Zhang H, Zhang L, Zhang W, Zhang Y, Zhang YW, Zhang Z, Zhao T, Zhao Y, Zhu D, Zou W, Pei G, Liu GH. Biomarkers of aging. SCIENCE CHINA. LIFE SCIENCES 2023; 66:893-1066. [PMID: 37076725 PMCID: PMC10115486 DOI: 10.1007/s11427-023-2305-0] [Citation(s) in RCA: 74] [Impact Index Per Article: 74.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 02/27/2023] [Indexed: 04/21/2023]
Abstract
Aging biomarkers are a combination of biological parameters to (i) assess age-related changes, (ii) track the physiological aging process, and (iii) predict the transition into a pathological status. Although a broad spectrum of aging biomarkers has been developed, their potential uses and limitations remain poorly characterized. An immediate goal of biomarkers is to help us answer the following three fundamental questions in aging research: How old are we? Why do we get old? And how can we age slower? This review aims to address this need. Here, we summarize our current knowledge of biomarkers developed for cellular, organ, and organismal levels of aging, comprising six pillars: physiological characteristics, medical imaging, histological features, cellular alterations, molecular changes, and secretory factors. To fulfill all these requisites, we propose that aging biomarkers should qualify for being specific, systemic, and clinically relevant.
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Affiliation(s)
- Hainan Bao
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
| | - Jiani Cao
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Mengting Chen
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Min Chen
- Clinic Center of Human Gene Research, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Clinical Research Center of Metabolic and Cardiovascular Disease, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Wei Chen
- Stem Cell Translational Research Center, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China
| | - Xiao Chen
- Department of Nuclear Medicine, Daping Hospital, Third Military Medical University, Chongqing, 400042, China
| | - Yanhao Chen
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yu Chen
- Shanghai Key Laboratory of Maternal Fetal Medicine, Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Yutian Chen
- The Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Zhiyang Chen
- Key Laboratory of Regenerative Medicine of Ministry of Education, Institute of Ageing and Regenerative Medicine, Jinan University, Guangzhou, 510632, China
| | - Jagadish K Chhetri
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Yingjie Ding
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Junlin Feng
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Jun Guo
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, China
| | - Mengmeng Guo
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China
| | - Chuting He
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Yujuan Jia
- Department of Neurology, First Affiliated Hospital, Shanxi Medical University, Taiyuan, 030001, China
| | - Haiping Jiang
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Ying Jing
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China
| | - Dingfeng Li
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230036, China
| | - Jiaming Li
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jingyi Li
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Qinhao Liang
- College of Life Sciences, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, 430072, China
| | - Rui Liang
- Research Institute of Transplant Medicine, Organ Transplant Center, NHC Key Laboratory for Critical Care Medicine, Tianjin First Central Hospital, Nankai University, Tianjin, 300384, China
| | - Feng Liu
- MOE Key Laboratory of Gene Function and Regulation, Guangzhou Key Laboratory of Healthy Aging Research, School of Life Sciences, Institute of Healthy Aging Research, Sun Yat-sen University, Guangzhou, 510275, China
| | - Xiaoqian Liu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Zuojun Liu
- School of Life Sciences, Hainan University, Haikou, 570228, China
| | - Oscar Junhong Luo
- Department of Systems Biomedical Sciences, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Jianwei Lv
- School of Life Sciences, Xiamen University, Xiamen, 361102, China
| | - Jingyi Ma
- The State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Kehang Mao
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, 100871, China
| | - Jiawei Nie
- Shanghai Institute of Hematology, State Key Laboratory for Medical Genomics, National Research Center for Translational Medicine (Shanghai), International Center for Aging and Cancer, Collaborative Innovation Center of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xinhua Qiao
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
| | - Xinpei Sun
- Peking University International Cancer Institute, Health Science Center, Peking University, Beijing, 100101, China
| | - Xiaoqiang Tang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Jianfang Wang
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Qiaoran Wang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Siyuan Wang
- Clinical Research Institute, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100730, China
| | - Xuan Wang
- Hepatobiliary and Pancreatic Center, Medical Research Center, Beijing Tsinghua Changgung Hospital, Beijing, 102218, China
| | - Yaning Wang
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Yuhan Wang
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Rimo Wu
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China
| | - Kai Xia
- Center for Stem Cell Biologyand Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, 510080, China
- National-Local Joint Engineering Research Center for Stem Cells and Regenerative Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Fu-Hui Xiao
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Lingyan Xu
- Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China
| | - Yingying Xu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
| | - Haoteng Yan
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China
| | - Liang Yang
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, 510530, China
| | - Ruici Yang
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yuanxin Yang
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 201210, China
| | - Yilin Ying
- Department of Geriatrics, Medical Center on Aging of Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- International Laboratory in Hematology and Cancer, Shanghai Jiao Tong University School of Medicine/Ruijin Hospital, Shanghai, 200025, China
| | - Le Zhang
- Gerontology Center of Hubei Province, Wuhan, 430000, China
- Institute of Gerontology, Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Weiwei Zhang
- Department of Cardiology, The Second Medical Centre, Chinese PLA General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, 100853, China
| | - Wenwan Zhang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Xing Zhang
- Key Laboratory of Ministry of Education, School of Aerospace Medicine, Fourth Military Medical University, Xi'an, 710032, China
| | - Zhuo Zhang
- Optogenetics & Synthetic Biology Interdisciplinary Research Center, State Key Laboratory of Bioreactor Engineering, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, China
- Research Unit of New Techniques for Live-cell Metabolic Imaging, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Min Zhou
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, 410008, China
| | - Rui Zhou
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, China
| | - Qingchen Zhu
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Zhengmao Zhu
- Department of Genetics and Cell Biology, College of Life Science, Nankai University, Tianjin, 300071, China
- Haihe Laboratory of Cell Ecosystem, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Feng Cao
- Department of Cardiology, The Second Medical Centre, Chinese PLA General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, 100853, China.
| | - Zhongwei Cao
- State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
| | - Piu Chan
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
| | - Chang Chen
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Guobing Chen
- Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, 510632, China.
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Guangzhou, 510000, China.
| | - Hou-Zao Chen
- Department of Biochemistryand Molecular Biology, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100005, China.
| | - Jun Chen
- Peking University Research Center on Aging, Beijing Key Laboratory of Protein Posttranslational Modifications and Cell Function, Department of Biochemistry and Molecular Biology, Department of Integration of Chinese and Western Medicine, School of Basic Medical Science, Peking University, Beijing, 100191, China.
| | - Weimin Ci
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
| | - Bi-Sen Ding
- State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
| | - Qiurong Ding
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Feng Gao
- Key Laboratory of Ministry of Education, School of Aerospace Medicine, Fourth Military Medical University, Xi'an, 710032, China.
| | - Jing-Dong J Han
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, 100871, China.
| | - Kai Huang
- Clinic Center of Human Gene Research, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Hubei Clinical Research Center of Metabolic and Cardiovascular Disease, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
| | - Zhenyu Ju
- Key Laboratory of Regenerative Medicine of Ministry of Education, Institute of Ageing and Regenerative Medicine, Jinan University, Guangzhou, 510632, China.
| | - Qing-Peng Kong
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China.
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.
| | - Ji Li
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China.
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, 410008, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China.
| | - Jian Li
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, China.
| | - Xin Li
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Baohua Liu
- School of Basic Medical Sciences, Shenzhen University Medical School, Shenzhen, 518060, China.
| | - Feng Liu
- Metabolic Syndrome Research Center, The Second Xiangya Hospital, Central South Unversity, Changsha, 410011, China.
| | - Lin Liu
- Department of Genetics and Cell Biology, College of Life Science, Nankai University, Tianjin, 300071, China.
- Haihe Laboratory of Cell Ecosystem, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
- Institute of Translational Medicine, Tianjin Union Medical Center, Nankai University, Tianjin, 300000, China.
- State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin, 300350, China.
| | - Qiang Liu
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230036, China.
| | - Qiang Liu
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, 300052, China.
- Tianjin Institute of Immunology, Tianjin Medical University, Tianjin, 300070, China.
| | - Xingguo Liu
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, 510530, China.
| | - Yong Liu
- College of Life Sciences, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, 430072, China.
| | - Xianghang Luo
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, 410008, China.
| | - Shuai Ma
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Xinran Ma
- Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China.
| | - Zhiyong Mao
- Shanghai Key Laboratory of Maternal Fetal Medicine, Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
| | - Jing Nie
- The State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
| | - Yaojin Peng
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Jing Qu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Jie Ren
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Ruibao Ren
- Shanghai Institute of Hematology, State Key Laboratory for Medical Genomics, National Research Center for Translational Medicine (Shanghai), International Center for Aging and Cancer, Collaborative Innovation Center of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- International Center for Aging and Cancer, Hainan Medical University, Haikou, 571199, China.
| | - Moshi Song
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Zhou Songyang
- MOE Key Laboratory of Gene Function and Regulation, Guangzhou Key Laboratory of Healthy Aging Research, School of Life Sciences, Institute of Healthy Aging Research, Sun Yat-sen University, Guangzhou, 510275, China.
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China.
| | - Yi Eve Sun
- Stem Cell Translational Research Center, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China.
| | - Yu Sun
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
- Department of Medicine and VAPSHCS, University of Washington, Seattle, WA, 98195, USA.
| | - Mei Tian
- Human Phenome Institute, Fudan University, Shanghai, 201203, China.
| | - Shusen Wang
- Research Institute of Transplant Medicine, Organ Transplant Center, NHC Key Laboratory for Critical Care Medicine, Tianjin First Central Hospital, Nankai University, Tianjin, 300384, China.
| | - Si Wang
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China.
| | - Xia Wang
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China.
| | - Xiaoning Wang
- Institute of Geriatrics, The second Medical Center, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China.
| | - Yan-Jiang Wang
- Department of Neurology and Center for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, 400042, China.
| | - Yunfang Wang
- Hepatobiliary and Pancreatic Center, Medical Research Center, Beijing Tsinghua Changgung Hospital, Beijing, 102218, China.
| | - Catherine C L Wong
- Clinical Research Institute, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100730, China.
| | - Andy Peng Xiang
- Center for Stem Cell Biologyand Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, 510080, China.
- National-Local Joint Engineering Research Center for Stem Cells and Regenerative Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Yichuan Xiao
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Zhengwei Xie
- Peking University International Cancer Institute, Health Science Center, Peking University, Beijing, 100101, China.
- Beijing & Qingdao Langu Pharmaceutical R&D Platform, Beijing Gigaceuticals Tech. Co. Ltd., Beijing, 100101, China.
| | - Daichao Xu
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 201210, China.
| | - Jing Ye
- Department of Geriatrics, Medical Center on Aging of Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- International Laboratory in Hematology and Cancer, Shanghai Jiao Tong University School of Medicine/Ruijin Hospital, Shanghai, 200025, China.
| | - Rui Yue
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
| | - Cuntai Zhang
- Gerontology Center of Hubei Province, Wuhan, 430000, China.
- Institute of Gerontology, Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| | - Hongbo Zhang
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Liang Zhang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Weiqi Zhang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Yong Zhang
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China.
- The State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China.
| | - Yun-Wu Zhang
- Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, 361102, China.
| | - Zhuohua Zhang
- Key Laboratory of Molecular Precision Medicine of Hunan Province and Center for Medical Genetics, Institute of Molecular Precision Medicine, Xiangya Hospital, Central South University, Changsha, 410078, China.
- Department of Neurosciences, Hengyang Medical School, University of South China, Hengyang, 421001, China.
| | - Tongbiao Zhao
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Yuzheng Zhao
- Optogenetics & Synthetic Biology Interdisciplinary Research Center, State Key Laboratory of Bioreactor Engineering, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, China.
- Research Unit of New Techniques for Live-cell Metabolic Imaging, Chinese Academy of Medical Sciences, Beijing, 100730, China.
| | - Dahai Zhu
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China.
- The State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China.
| | - Weiguo Zou
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Gang Pei
- Shanghai Key Laboratory of Signaling and Disease Research, Laboratory of Receptor-Based Biomedicine, The Collaborative Innovation Center for Brain Science, School of Life Sciences and Technology, Tongji University, Shanghai, 200070, China.
| | - Guang-Hui Liu
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China.
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4
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Croize-Pourcelet C, Nouguerede E, Rey D, Daumas A, Gentile G, Villani P, Couderc AL. Geriatric syndromes in a centenarians population. Aging Clin Exp Res 2022; 34:3131-3136. [PMID: 36083575 PMCID: PMC9462066 DOI: 10.1007/s40520-022-02248-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 08/31/2022] [Indexed: 11/29/2022]
Abstract
Background Centenarians develop diseases later than younger populations. Aims Assessment of geriatric syndromes in centenarians living in Marseille in 2020. Methods Observational preliminary study describing centenarians living in the Marseille area, being part of the patients base of the general practitioners (GPs). Results Twenty-two centenarians were enrolled, including seventeen women (77.3%). Thirteen centenarians lived in nursing homes (NH) and nine in private housing (PH). All were dependent for daily living activities and 78.9% used walkers to get around. GPs consultations were exclusively home visits (in NH or PH). Centenarians living in NH presented more cognitive impairments, more comorbidities, and fewer hospitalizations during the past year compared to centenarians living in PH. Discussion Although centenarians represent a model of successful aging for society, all were dependent and had at least one geriatric syndrome. Conclusions Maintaining centenarians at home requires technical aids and intervention of several professional caregivers relying on family support.
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Affiliation(s)
- Cécile Croize-Pourcelet
- Internal Medicine, Geriatric and Therapeutic Unit, Marseille University Hospital (AP-HM), 270 Boulevard de Sainte Marguerite, 13009, Marseille, France
| | - Emilie Nouguerede
- Internal Medicine, Geriatric and Therapeutic Unit, Marseille University Hospital (AP-HM), 270 Boulevard de Sainte Marguerite, 13009, Marseille, France
| | - Dominique Rey
- Internal Medicine, Geriatric and Therapeutic Unit, Marseille University Hospital (AP-HM), 270 Boulevard de Sainte Marguerite, 13009, Marseille, France
| | - Aurélie Daumas
- Internal Medicine, Geriatric and Therapeutic Unit, Marseille University Hospital (AP-HM), 270 Boulevard de Sainte Marguerite, 13009, Marseille, France.,C2VN, INSERM 1263, INRAE 1260, Aix-Marseille Univ, Marseille, France
| | - Gaetan Gentile
- Department of General Practice, Aix-Marseille University, Marseille, France
| | - Patrick Villani
- Internal Medicine, Geriatric and Therapeutic Unit, Marseille University Hospital (AP-HM), 270 Boulevard de Sainte Marguerite, 13009, Marseille, France.,CNRS, EFS, ADES, Aix-Marseille Univ, Marseille, France
| | - Anne-Laure Couderc
- Internal Medicine, Geriatric and Therapeutic Unit, Marseille University Hospital (AP-HM), 270 Boulevard de Sainte Marguerite, 13009, Marseille, France. .,CNRS, EFS, ADES, Aix-Marseille Univ, Marseille, France.
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5
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Arosio B, Geraci A, Ferri E, Mari D, Cesari M. Biological Frailty Index in centenarians. Aging Clin Exp Res 2022; 34:687-690. [PMID: 34655428 PMCID: PMC8894165 DOI: 10.1007/s40520-021-01993-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 09/28/2021] [Indexed: 11/29/2022]
Abstract
This study measured the subclinical frailty of centenarians by looking at the accumulation of their biological abnormalities. For this aim, a biological Frailty Index (FI) was computed in centenarians living in Northern Italy. The median value of the biological FI was 0.33 (interquartile range, IQR 0.28–0.41). The biological FI did not significantly differ between women (0.34, IQR 0.31–0.39) and men (0.32, IQR 0.26–0.43). The biological FI seems to have a narrower distribution compared to clinical FI we previously computed in the same cohort. In conclusion, our study suggests that centenarians benefit from exceptional biological reserves that might be underestimated by clinical appearances.
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Affiliation(s)
- Beatrice Arosio
- Laboratorio di Geriatria, Department of Clinical Sciences and Community Health, University of Milan, Via Pace 9, 20122, Milan, Italy.
| | - Annalisa Geraci
- Geriatric Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via Pace 9, 20122, Milan, Italy
| | - Evelyn Ferri
- Geriatric Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via Pace 9, 20122, Milan, Italy
| | - Daniela Mari
- Laboratorio Sperimentale di Ricerche di Neuroendocrinologia Geriatrica ed Oncologica, Istituto Auxologico Italiano, IRCCS, Via Zucchi 18, 20095, Cusano Milanino, Italy
| | - Matteo Cesari
- Laboratorio di Geriatria, Department of Clinical Sciences and Community Health, University of Milan, Via Pace 9, 20122, Milan, Italy
- Geriatric Unit, IRCCS Istituti Clinici Scientifici Maugeri, Via Camaldoli 64, 20138, Milan, Italy
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6
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Bacalini MG, Palombo F, Garagnani P, Giuliani C, Fiorini C, Caporali L, Stanzani Maserati M, Capellari S, Romagnoli M, De Fanti S, Benussi L, Binetti G, Ghidoni R, Galimberti D, Scarpini E, Arcaro M, Bonanni E, Siciliano G, Maestri M, Guarnieri B, Martucci M, Monti D, Carelli V, Franceschi C, La Morgia C, Santoro A. Association of rs3027178 polymorphism in the circadian clock gene PER1 with susceptibility to Alzheimer's disease and longevity in an Italian population. GeroScience 2021; 44:881-896. [PMID: 34921659 PMCID: PMC9135916 DOI: 10.1007/s11357-021-00477-0] [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: 07/26/2021] [Accepted: 10/15/2021] [Indexed: 12/11/2022] Open
Abstract
Many physiological processes in the human body follow a 24-h circadian rhythm controlled by the circadian clock system. Light, sensed by retina, is the predominant “zeitgeber” able to synchronize the circadian rhythms to the light-dark cycles. Circadian rhythm dysfunction and sleep disorders have been associated with aging and neurodegenerative diseases including mild cognitive impairment (MCI) and Alzheimer’s disease (AD). In the present study, we aimed at investigating the genetic variability of clock genes in AD patients compared to healthy controls from Italy. We also included a group of Italian centenarians, considered as super-controls in association studies given their extreme phenotype of successful aging. We analyzed the exon sequences of eighty-four genes related to circadian rhythms, and the most significant variants identified in this first discovery phase were further assessed in a larger independent cohort of AD patients by matrix assisted laser desorption/ionization-time of flight mass spectrometry. The results identified a significant association between the rs3027178 polymorphism in the PER1 circadian gene with AD, the G allele being protective for AD. Interestingly, rs3027178 showed similar genotypic frequencies among AD patients and centenarians. These results collectively underline the relevance of circadian dysfunction in the predisposition to AD and contribute to the discussion on the role of the relationship between the genetics of age-related diseases and of longevity.
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Affiliation(s)
- Maria Giulia Bacalini
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Laboratorio Brain Aging, Bologna, Italy
| | - Flavia Palombo
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Programma di Neurogenetica, Bologna, Italy
| | - Paolo Garagnani
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.,Applied Biomedical Research Center (CRBA), S. Orsola-Malpighi Polyclinic, Bologna, Italy.,CNR Institute of Molecular Genetics "Luigi Luca Cavalli-Sforza", Unit of Bologna, Bologna, Italy.,Department of Laboratory Medicine, Clinical Chemistry, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.,Alma Mater Research Institute on Global Challenges and Climate Change (Alma Climate), University of Bologna, Bologna, Italy
| | - Cristina Giuliani
- Alma Mater Research Institute on Global Challenges and Climate Change (Alma Climate), University of Bologna, Bologna, Italy.,Laboratory of Molecular Anthropology and Centre for Genome Biology, Department of Biological, Geological and Environmental Sciences, University of Bologna, Bologna, Italy
| | - Claudio Fiorini
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Programma di Neurogenetica, Bologna, Italy
| | - Leonardo Caporali
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Programma di Neurogenetica, Bologna, Italy
| | | | - Sabina Capellari
- IRCCS Istituto delle Scienze Neurologiche di Bologna, UOC Clinica Neurologica, Bologna, Italy.,Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, Bologna, Italy
| | - Martina Romagnoli
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Programma di Neurogenetica, Bologna, Italy
| | - Sara De Fanti
- Alma Mater Research Institute on Global Challenges and Climate Change (Alma Climate), University of Bologna, Bologna, Italy.,Laboratory of Molecular Anthropology and Centre for Genome Biology, Department of Biological, Geological and Environmental Sciences, University of Bologna, Bologna, Italy
| | - Luisa Benussi
- IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Giuliano Binetti
- IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Roberta Ghidoni
- IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Daniela Galimberti
- Fondazione IRCCS Ca' Granda, Ospedale Policlinico, Milan, Italy.,Dino Ferrari Center, University of Milan, Milan, Italy
| | - Elio Scarpini
- Fondazione IRCCS Ca' Granda, Ospedale Policlinico, Milan, Italy.,Dino Ferrari Center, University of Milan, Milan, Italy
| | - Marina Arcaro
- Fondazione IRCCS Ca' Granda, Ospedale Policlinico, Milan, Italy
| | - Enrica Bonanni
- Neurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Gabriele Siciliano
- Neurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Michelangelo Maestri
- Neurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Biancamaria Guarnieri
- Center of Sleep Medicine, Villa Serena Hospital and Villaserena Foundation for the Research, Città S. Angelo, Pescara, Italy
| | | | - Morena Martucci
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy
| | - Daniela Monti
- Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy
| | - Valerio Carelli
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Programma di Neurogenetica, Bologna, Italy.,Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, Bologna, Italy
| | - Claudio Franceschi
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.,Department of Applied Mathematics, Institute of Information Technology, Mathematics and Mechanics (ITMM), Lobachevsky State University of Nizhny Novgorod-National Research University (UNN), Nizhny Novgorod, Russia
| | - Chiara La Morgia
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Programma di Neurogenetica, Bologna, Italy.,IRCCS Istituto delle Scienze Neurologiche di Bologna, UOC Clinica Neurologica, Bologna, Italy
| | - Aurelia Santoro
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy. .,Alma Mater Research Institute on Global Challenges and Climate Change (Alma Climate), University of Bologna, Bologna, Italy.
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7
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Bacalini MG, Gentilini D, Monti D, Garagnani P, Mari D, Cesari M, Ogliari G, Passarino G, Franceschi C, Pirazzini C, Arosio B. No association between frailty index and epigenetic clocks in Italian semi-supercentenarians. Mech Ageing Dev 2021; 197:111514. [PMID: 34098514 DOI: 10.1016/j.mad.2021.111514] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 05/20/2021] [Accepted: 05/24/2021] [Indexed: 10/21/2022]
Abstract
Centenarians experience successful ageing, although they still present high heterogeneity in their health status. The frailty index is a biomarker of biological age, able to capture such heterogeneity, even at extreme old age. At the same time, other biomarkers (e.g., epigenetic clocks) may be informative the biological age of the individual and potentially describe the ageing status in centenarians. In this article, we explore the relationship between epigenetic clocks and frailty index in a cohort of Italian centenarians. No association was reported, suggesting that these two approaches may describe different aspects of the same ageing process.
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Affiliation(s)
| | - Davide Gentilini
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy; Bioinformatics and Statistical Genomics Unit, Istituto Auxologico Italiano IRCCS, Cusano Milanino, Milan, Italy
| | - Daniela Monti
- Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy
| | - Paolo Garagnani
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy; Alma Mater Research Institute on Global Challenges and Climate Change (Alma Climate), University of Bologna, Bologna, Italy; Department of Laboratory Medicine, Clinical Chemistry, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden; CNR Institute of Molecular Genetics "Luigi Luca Cavalli-Sforza", Unit of Bologna, Bologna, Italy
| | - Daniela Mari
- Laboratorio Sperimentale di Ricerche di Neuroendocrinologia Geriatrica ed Oncologica, Istituto Auxologico Italiano, IRCCS, Milano, Italy
| | - Matteo Cesari
- Geriatric Unit, IRCCS Istituti Clinici Scientifici Maugeri, University of Milan, Milan, Italy
| | - Giulia Ogliari
- Department of Health Care for Older People (HCOP), Queen's Medical Centre, Nottingham University Hospitals NHS Trust, Derby Road, Nottingham, Nottinghamshire, NG7 2UH, UK
| | - Giuseppe Passarino
- Dipartimento di Biologia, Ecologia e Scienze della Terra, Università della Calabria, Rende, Italy
| | - Claudio Franceschi
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy; Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky University, Nizhniy Novgorod, Russia
| | - Chiara Pirazzini
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy.
| | - Beatrice Arosio
- Geriatric Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy; Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
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8
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Shaffer J. Centenarians, Supercentenarians: We Must Develop New Measurements Suitable for Our Oldest Old. Front Psychol 2021; 12:655497. [PMID: 33897565 PMCID: PMC8058349 DOI: 10.3389/fpsyg.2021.655497] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 03/11/2021] [Indexed: 12/22/2022] Open
Affiliation(s)
- Joyce Shaffer
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States
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9
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Maeda N, Tsutsumi Y, Niwa S. Development of a self-assessment behavioral and psychological symptoms of dementia competency scale for care teams at long-term geriatric care facilities. Geriatr Nurs 2021; 42:628-634. [PMID: 33823420 DOI: 10.1016/j.gerinurse.2021.03.008] [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: 11/08/2020] [Revised: 03/08/2021] [Accepted: 03/10/2021] [Indexed: 10/21/2022]
Abstract
Understanding the behavioral and psychological symptoms of dementia (BPSD) is important for caregivers in long-term geriatric care facilities. In this study performed in 43 long-term care facilities, we evaluated the ability of caregivers to recognize BPSD through the development and validation of self-assessment scales. Reliability and validity of the scales were determined using Cronbach's alpha coefficient, the test/retest method, exploratory factor analysis, confirmatory factor analysis, criteria-related validity, and construct validity. We analyzed cross-sectional data from 310 participants. Factor analysis showed a positive correlation for all scale items (rs = .43-.73). Significant correlations arose from the test/retest method (rs = .48-.76). The α coefficient of all items except one was .70 or more, indicating sufficient reliability. Criteria-related validity (rs = .43-.73) and construct validity (rs = .13-.52) revealed a positive correlation. The BPSD Team Care Self-Assessment Scale is reliable and could ensure BPSD competency in caregivers.
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Affiliation(s)
- Noriko Maeda
- Department of Nursing Science, Faculty of Nursing, Kansai University of Nursing and Health Sciences, Hyogo 656-2131, Japan.
| | - Yumiko Tsutsumi
- The International University of Kagoshima, Kagoshima 891-0197, Japan
| | - Sayoko Niwa
- Course of Nursing, School of Health Sciences, Faculty of Medicine, Kagoshima University, Kagoshima, 890-0065, Japan
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10
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Pirazzini C, Azevedo T, Baldelli L, Bartoletti-Stella A, Calandra-Buonaura G, Dal Molin A, Dimitri GM, Doykov I, Gómez-Garre P, Hägg S, Hällqvist J, Halsband C, Heywood W, Jesús S, Jylhävä J, Kwiatkowska KM, Labrador-Espinosa MA, Licari C, Maturo MG, Mengozzi G, Meoni G, Milazzo M, Periñán-Tocino MT, Ravaioli F, Sala C, Sambati L, Schade S, Schreglmann S, Spasov S, Tenori L, Williams D, Xumerle L, Zago E, Bhatia KP, Capellari S, Cortelli P, Garagnani P, Houlden H, Liò P, Luchinat C, Delledonne M, Mills K, Mir P, Mollenhauer B, Nardini C, Pedersen NL, Provini F, Strom S, Trenkwalder C, Turano P, Bacalini MG, Franceschi C. A geroscience approach for Parkinson's disease: Conceptual framework and design of PROPAG-AGEING project. Mech Ageing Dev 2021; 194:111426. [PMID: 33385396 DOI: 10.1016/j.mad.2020.111426] [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] [Received: 08/28/2020] [Revised: 12/07/2020] [Accepted: 12/22/2020] [Indexed: 12/12/2022]
Abstract
Advanced age is the major risk factor for idiopathic Parkinson's disease (PD), but to date the biological relationship between PD and ageing remains elusive. Here we describe the rationale and the design of the H2020 funded project "PROPAG-AGEING", whose aim is to characterize the contribution of the ageing process to PD development. We summarize current evidences that support the existence of a continuum between ageing and PD and justify the use of a Geroscience approach to study PD. We focus in particular on the role of inflammaging, the chronic, low-grade inflammation characteristic of elderly physiology, which can propagate and transmit both locally and systemically. We then describe PROPAG-AGEING design, which is based on the multi-omic characterization of peripheral samples from clinically characterized drug-naïve and advanced PD, PD discordant twins, healthy controls and "super-controls", i.e. centenarians, who never showed clinical signs of motor disability, and their offspring. Omic results are then validated in a large number of samples, including in vitro models of dopaminergic neurons and healthy siblings of PD patients, who are at higher risk of developing PD, with the final aim of identifying the molecular perturbations that can deviate the trajectories of healthy ageing towards PD development.
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Affiliation(s)
- Chiara Pirazzini
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Tiago Azevedo
- Department of Computer Science and Technology, University of Cambridge, Cambridge, United Kingdom
| | - Luca Baldelli
- Department of Biomedical and NeuroMotor Sciences (DiBiNeM), University of Bologna, Italy
| | | | - Giovanna Calandra-Buonaura
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy; Department of Biomedical and NeuroMotor Sciences (DiBiNeM), University of Bologna, Italy
| | | | - Giovanna Maria Dimitri
- Department of Computer Science and Technology, University of Cambridge, Cambridge, United Kingdom
| | - Ivan Doykov
- Centre for Inborn Errors of Metabolism, UCL Institute of Child Health, London, United Kingdom
| | - Pilar Gómez-Garre
- Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Unidad de Trastornos del Movimiento, Servicio de Neurología y NeurofisiologíaClínica, Instituto de Biomedicina de Sevilla, Seville, Spain; Centro de Investigación Biomédicaen Red sobreEnfermedades Neurodegenerativas (CIBERNED), Spain
| | - Sara Hägg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Jenny Hällqvist
- Centre for Inborn Errors of Metabolism, UCL Institute of Child Health, London, United Kingdom
| | - Claire Halsband
- Department of Clinical Neurophysiology, University Medical Center Göttingen, Göttingen, Germany; Department of Gerontopsychiatry, Rhein-Mosel-Fachklinik, Andernach, Germany
| | - Wendy Heywood
- Centre for Inborn Errors of Metabolism, UCL Institute of Child Health, London, United Kingdom; NIHR Great Ormond Street Biomedical Research Centre, Great Ormond Street Hospital and UCL Great Ormond Street Institute of Child Health, London, United Kingdom
| | - Silvia Jesús
- Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Unidad de Trastornos del Movimiento, Servicio de Neurología y NeurofisiologíaClínica, Instituto de Biomedicina de Sevilla, Seville, Spain; Centro de Investigación Biomédicaen Red sobreEnfermedades Neurodegenerativas (CIBERNED), Spain
| | - Juulia Jylhävä
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | | | - Miguel A Labrador-Espinosa
- Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Unidad de Trastornos del Movimiento, Servicio de Neurología y NeurofisiologíaClínica, Instituto de Biomedicina de Sevilla, Seville, Spain; Centro de Investigación Biomédicaen Red sobreEnfermedades Neurodegenerativas (CIBERNED), Spain
| | - Cristina Licari
- CERM, University of Florence, Sesto Fiorentino, Florence, Italy
| | - Maria Giovanna Maturo
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Giacomo Mengozzi
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | | | - Maddalena Milazzo
- Department of Experimental, Diagnostic, and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
| | - Maria Teresa Periñán-Tocino
- Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Unidad de Trastornos del Movimiento, Servicio de Neurología y NeurofisiologíaClínica, Instituto de Biomedicina de Sevilla, Seville, Spain; Centro de Investigación Biomédicaen Red sobreEnfermedades Neurodegenerativas (CIBERNED), Spain
| | - Francesco Ravaioli
- Department of Experimental, Diagnostic, and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
| | - Claudia Sala
- Department of Physics and Astronomy, University of Bologna, Bologna, Italy
| | - Luisa Sambati
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy; Department of Biomedical and NeuroMotor Sciences (DiBiNeM), University of Bologna, Italy
| | - Sebastian Schade
- Department of Clinical Neurophysiology, University Medical Center Göttingen, Göttingen, Germany
| | - Sebastian Schreglmann
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Simeon Spasov
- Department of Computer Science and Technology, University of Cambridge, Cambridge, United Kingdom
| | - Leonardo Tenori
- Consorzio Interuniversitario Risonanze Magnetiche di Metalloproteine (CIRMMP), Florence, Italy
| | - Dylan Williams
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | | | | | - Kailash P Bhatia
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Sabina Capellari
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy; Department of Biomedical and NeuroMotor Sciences (DiBiNeM), University of Bologna, Italy
| | - Pietro Cortelli
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy; Department of Biomedical and NeuroMotor Sciences (DiBiNeM), University of Bologna, Italy
| | - Paolo Garagnani
- Department of Experimental, Diagnostic, and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
| | - Henry Houlden
- Department of Neuromuscular Disorders, UCL Queen Square Institute of Neurology, London, WC1N 3BG, United Kingdom
| | - Pietro Liò
- Department of Computer Science and Technology, University of Cambridge, Cambridge, United Kingdom
| | - Claudio Luchinat
- CERM, University of Florence, Sesto Fiorentino, Florence, Italy; Department of Chemistry "Ugo Schiff", University of Florence, Italy
| | | | - Kevin Mills
- Centre for Inborn Errors of Metabolism, UCL Institute of Child Health, London, United Kingdom; NIHR Great Ormond Street Biomedical Research Centre, Great Ormond Street Hospital and UCL Great Ormond Street Institute of Child Health, London, United Kingdom
| | - Pablo Mir
- Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Unidad de Trastornos del Movimiento, Servicio de Neurología y NeurofisiologíaClínica, Instituto de Biomedicina de Sevilla, Seville, Spain; Centro de Investigación Biomédicaen Red sobreEnfermedades Neurodegenerativas (CIBERNED), Spain
| | - Brit Mollenhauer
- Paracelsus-Elena-Klinik, Kassel, Germany; Department of Neurology, University Medical Centre Goettingen, Goettingen, Germany
| | - Christine Nardini
- Istituto per le Applicazioni del Calcolo Mauro Picone, CNR, Roma, Italy
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Federica Provini
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy; Department of Biomedical and NeuroMotor Sciences (DiBiNeM), University of Bologna, Italy
| | - Stephen Strom
- Department of Laboratory Medicine, Karolinska Institute and Karolinska Universitetssjukhuset, 171 76, Stockholm, Sweden
| | - Claudia Trenkwalder
- Paracelsus-Elena-Klinik, Kassel, Germany; Department of Neurosurgery, University Medical Center Göttingen, Germany
| | - Paola Turano
- CERM, University of Florence, Sesto Fiorentino, Florence, Italy; Department of Chemistry "Ugo Schiff", University of Florence, Italy
| | | | - Claudio Franceschi
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy; Laboratory of Systems Medicine of Healthy Aging and Department of Applied Mathematics, Lobachevsky University, Nizhny Novgorod, Russia
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11
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Xiang Q, Andersen SL, Perls TT, Sebastiani P. Studying the Interplay Between Apolipoprotein E and Education on Cognitive Decline in Centenarians Using Bayesian Beta Regression. Front Genet 2021; 11:606831. [PMID: 33488674 PMCID: PMC7820893 DOI: 10.3389/fgene.2020.606831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Accepted: 11/30/2020] [Indexed: 11/13/2022] Open
Abstract
Apolipoprotein E (APOE) is an important risk factor for cognitive decline and Alzheimer's disease in aging individuals. Among the 3 known alleles of this gene: e2, e3, and e4, the e4 allele is associated with faster cognitive decline and increased risk for Alzheimer's and dementia, while the e2 allele has a positive effect on longevity, and possibly on preservation of cognitive function. Education also has an important effect on cognition and longevity but the interplay between APOE and education is not well-characterized. Previous studies of the effect of APOE on cognitive decline often used linear regression with the normality assumption, which may not be appropriate for analyzing bounded and skewed neuropsychological test scores. In this paper, we applied Bayesian beta regression to assess the effect of APOE alleles on cognitive decline in a cohort of centenarians with longitudinal assessment of their cognitive function. The analysis confirmed the negative association between older age and cognition and the beneficial effect of education that persists even at the extreme of human lifespan in carriers of the e3 allele. In addition, the analysis showed an association between APOE and cognition that is modified by education. Surprisingly, an antagonistic interaction existed between higher education and APOE alleles, suggesting that education may reduce the positive effect of APOE e2 and increase the negative effect of APOE e4 at extreme old age.
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Affiliation(s)
- Qingyan Xiang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States
| | - Stacy Lynn Andersen
- Section of Geriatrics, Department of Medicine, Boston University School of Medicine, Boston, MA, United States
| | - Thomas T. Perls
- Section of Geriatrics, Department of Medicine, Boston University School of Medicine, Boston, MA, United States
| | - Paola Sebastiani
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, United States
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12
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Guerini FR, Lim WS, Arosio B. Editorial: Biomarkers to Disentangle the Physiological From Pathological Brain Aging. Front Aging Neurosci 2020; 12:88. [PMID: 32351380 PMCID: PMC7174597 DOI: 10.3389/fnagi.2020.00088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Accepted: 03/16/2020] [Indexed: 12/03/2022] Open
Affiliation(s)
- Franca Rosa Guerini
- IRCCS Fondazione Don Carlo Gnocchi, Milan, Italy
- *Correspondence: Franca Rosa Guerini
| | - Wee Shiong Lim
- Department of Geriatric Medicine, Institute of Geriatrics and Active Ageing, Tan Tock Seng Hospital, Singapore, Singapore
- Wee Shiong Lim
| | - Beatrice Arosio
- Geriatric Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
- Beatrice Arosio
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13
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Escourrou E, Durrieu F, Chicoulaa B, Dupouy J, Oustric S, Andrieu S, Gardette V. Cognitive, functional, physical, and nutritional status of the oldest old encountered in primary care: a systematic review. BMC FAMILY PRACTICE 2020; 21:58. [PMID: 32220228 PMCID: PMC7099824 DOI: 10.1186/s12875-020-01128-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Accepted: 03/18/2020] [Indexed: 11/23/2022]
Abstract
Background The oldest old (individuals over 90 years) are a fast-growing population. Characterizing their specificity would be helpful to adapt health care. This study aimed to characterize the cognitive, functional, nutritional, and physical status of individuals over 90. Methods We conducted a systematic review of cross-sectional or cohort studies of individuals aged 90 years old or more, living at home or in a nursing home, in April 2018. Two reviewers selected eligible articles, extracted data, and evaluated the risk of bias (assessed by the Newcastle-Ottawa Scale). Results The search strategy identified 3086 references; 35 articles were included referring to 8 cross-sectional and 27 longitudinal studies. Dementia was diagnosed in 30–42.9% of study participants, cognitive impairment in 12–50%, and 31–65% had no cognitive impairment. In terms of activities of daily living, 14–72.6% of individuals had no difficulty, 35.6–38% had difficulty, and 14.4–55.5% were dependent. For instrumental activities of daily living, 20–67.9% needed help. Regarding nutritional status, the Mini Nutritional Assessment Short Form mean score ranged from 10.3 (SD: 1.8) to 11.1 (SD: 2.4). Eight to 32% of individuals could not stand up from a chair, 19–47% could stand without the use of their arms; and 12.9–15% were not able to walk 4 m. Conclusions These results suggest a heterogeneous population with a certain proportion of oldest old with a low level of disability. These findings suggest that a specific approach in the care of the oldest old could help prevent disability.
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Affiliation(s)
- Emile Escourrou
- Département Universitaire de Médecine Générale, Faculté de Médecine Rangueil, Université Paul Sabatier Toulouse III, Toulouse, France. .,UMR 1027 INSERM, Université Paul Sabatier Toulouse III, Toulouse, France. .,Maison de Santé Pluri Professionnelle Universitaire La Providence, 1 avenue Louis Blériot, 31500, Toulouse, France.
| | - Florence Durrieu
- Département Universitaire de Médecine Générale, Faculté de Médecine Rangueil, Université Paul Sabatier Toulouse III, Toulouse, France
| | - Bruno Chicoulaa
- Département Universitaire de Médecine Générale, Faculté de Médecine Rangueil, Université Paul Sabatier Toulouse III, Toulouse, France
| | - Julie Dupouy
- Département Universitaire de Médecine Générale, Faculté de Médecine Rangueil, Université Paul Sabatier Toulouse III, Toulouse, France.,UMR 1027 INSERM, Université Paul Sabatier Toulouse III, Toulouse, France
| | - Stéphane Oustric
- Département Universitaire de Médecine Générale, Faculté de Médecine Rangueil, Université Paul Sabatier Toulouse III, Toulouse, France.,UMR 1027 INSERM, Université Paul Sabatier Toulouse III, Toulouse, France.,Maison de Santé Pluri Professionnelle Universitaire La Providence, 1 avenue Louis Blériot, 31500, Toulouse, France
| | - Sandrine Andrieu
- UMR 1027 INSERM, Université Paul Sabatier Toulouse III, Toulouse, France.,Service d'épidémiologie, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Virginie Gardette
- UMR 1027 INSERM, Université Paul Sabatier Toulouse III, Toulouse, France.,Service d'épidémiologie, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
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14
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Huang Z, Chen Y, Zhou W, Li X, Qin Q, Fei Y, Dong X, Yu F. Analyzing functional status and its correlates in Chinese centenarians: A cross-sectional study. Nurs Health Sci 2020; 22:639-647. [PMID: 32141149 DOI: 10.1111/nhs.12707] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Revised: 02/19/2020] [Accepted: 03/03/2020] [Indexed: 12/28/2022]
Abstract
Factors affecting independence in basic and instrumental activities of daily living have been established in older adults, but not centenarians. The purpose of this study was to examine the state and factors affecting activities of daily living independence in centenarians who resided in Guangxi Province, China. A cross-sectional design was used. Activities of daily living, physical activity, mobility, and physical performance were measured by the Population Study of ChINese Elderly study instruments, and demographics and cognition were assessed. Of the 228 participants, 57% were independent in basic activities of daily living and 5.7% in instrumental activities of daily living. Stepwise regression showed physical activity, cognition, calf circumference, and self-reported health were associated with basic activities of daily living. Physical activity, mobility, cognition, and physical performance were correlated with instrumental activities of daily living. In conclusion, the Chinese centenarians showed impaired instrumental activities of daily living but mostly maintained basic functioning. Physical activity and cognition were associated with activities of daily living independence.
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Affiliation(s)
- Zhaoyong Huang
- Guangxi Zhuang Autonomous Region Center for Disease Prevention and Control, Nanning, China
| | - Yuzhu Chen
- Guangxi Zhuang Autonomous Region Center for Disease Prevention and Control, Institute of Nutrition and School Health, Nanning, China
| | - Weiwen Zhou
- Guangxi Zhuang Autonomous Region Center for Disease Prevention and Control, Institute of Nutrition and School Health, Nanning, China
| | - Xiaopeng Li
- Guangxi Zhuang Autonomous Region Center for Disease Prevention and Control, Institute of Nutrition and School Health, Nanning, China
| | - Qiulan Qin
- Guangxi Zhuang Autonomous Region Center for Disease Prevention and Control, Institute of Nutrition and School Health, Nanning, China
| | - Yunqing Fei
- University of Minnesota Center for Global Health and Social Responsibility, Minneapolis, Minnesota, USA
| | - Xinqi Dong
- Rutgers University Institute for Health, Health Care Policy and Aging Research, Rutgers University, Rutgers, New Jersey, USA
| | - Fang Yu
- University of Minnesota School of Nursing, Minneapolis, Minnesota, USA
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15
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Beker N, Sikkes SAM, Hulsman M, Tesi N, van der Lee SJ, Scheltens P, Holstege H. Longitudinal Maintenance of Cognitive Health in Centenarians in the 100-plus Study. JAMA Netw Open 2020; 3:e200094. [PMID: 32101309 PMCID: PMC7137688 DOI: 10.1001/jamanetworkopen.2020.0094] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
IMPORTANCE Some individuals who reach ages beyond 100 years in good cognitive health may be resilient against risk factors associated with cognitive decline. Exploring the processes underlying resilience may contribute to the development of therapeutic strategies that help to maintain cognitive health while aging. OBJECTIVE To identify individuals who escape cognitive decline until extreme ages and to investigate the prevalence of associated risk factors. DESIGN, SETTING, AND PARTICIPANTS The 100-plus Study is a prospective observational cohort study of community-based Dutch centenarians enrolled between 2013 and 2019 who were visited annually until death or until participation was no longer possible. The centenarians self-reported their cognitive health, as confirmed by a proxy. Of the 1023 centenarians approached for study inclusion, 340 fulfilled the study criteria and were included in analyses. Data analysis was performed from April 2019 to December 2019. MAIN OUTCOMES AND MEASURES Cognition was assessed using the Mini-Mental State Examination (MMSE). To identify centenarians who escape cognitive decline, this study investigated the association of baseline cognition with survivorship and cognitive trajectories for at least 2 years of follow-up using linear mixed models, adjusted for sex, age, and education. This study investigated the prevalence of apolipoprotein E (APOE) genotypes and cardiovascular disease as risk factors associated with cognitive decline. RESULTS At baseline, the median age of 340 centenarians was 100.5 years (range, 100.0-108.2 years); 245 participants (72.1%) were female. The maximum survival estimate plateaued at 82% per year (95% CI, 77% to 87%) across centenarians who scored 26 to 30 points on the baseline MMSE (hazard ratio, 0.56; 95% CI, 0.42 to 0.75; P < .001), suggesting that an MMSE score of 26 or higher is representative of both cognitive and physical health. Among the 79 centenarians who were followed up for 2 years or longer, those with baseline MMSE score less than 26 experienced a decline in MMSE score of 1.68 points per year (95% CI, -2.45 to -0.92 points per year; P = .02), whereas centenarians with MMSE scores of 26 or higher at baseline experienced a decline of 0.71 point per year (95% CI, -1.08 to -0.35 points per year). For 73% of the centenarians with baseline MMSE scores of 26 or higher, no cognitive changes were observed, which often extended to ensuing years or until death. It is estimated that this group is representative of less than 10% of Dutch centenarians. In this group, 18.6% carried at least 1 APOE-ε4 allele, compared with 5.6% of the centenarians with lower and/or declining cognitive performance. CONCLUSIONS AND RELEVANCE Most centenarians who scored 26 or higher on the MMSE at baseline maintained high levels of cognitive performance for at least 2 years, in some cases despite the presence of risk factors associated with cognitive decline. Investigation of this group might reveal the processes underlying resilience against risk factors associated with cognitive decline.
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Affiliation(s)
- Nina Beker
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Sietske A. M. Sikkes
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
- Department of Clinical Psychology, Neuropsychology, and Developmental Psychology, Faculty of Behavioural and Movement Sciences, Vrije Universiteit, Amsterdam, the Netherlands
| | - Marc Hulsman
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
- Department of Clinical Genetics, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Niccolò Tesi
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
- Department of Clinical Genetics, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Sven J. van der Lee
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
- Department of Clinical Genetics, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Henne Holstege
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
- Department of Clinical Genetics, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
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16
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Madrigal-Leer F, Martìnez-Montandòn A, Solìs-Umaña M, Helo-Guzmàn F, Alfaro-Salas K, Barrientos-Calvo I, Camacho-Mora Z, Jimènez-Porras V, Estrada-Montero S, Morales-Martìnez F. Clinical, functional, mental and social profile of the Nicoya Peninsula centenarians, Costa Rica, 2017. Aging Clin Exp Res 2020; 32:313-321. [PMID: 30919261 DOI: 10.1007/s40520-019-01176-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2018] [Accepted: 03/14/2019] [Indexed: 01/19/2023]
Abstract
BACKGROUND In Latin America, knowledge about the demography and health status of adults aged 100 years and over is scarce. Insufficient studies of the elderly population in Costa Rica exist despite having a "Blue Zone" (geographical area with a high concentration of centenarians) in the Peninsula of Nicoya, with a high percentage of centenarians in the districts of Santa Cruz, Nicoya, Hojancha, Nandayure and Carrillo. AIMS To describe the clinical, functional, mental and social profile of centenarians residing in the Blue Zone of the Peninsula of Nicoya, Costa Rica. METHODS This is a cross-sectional study using a population base of 43 community-dwelling centenarians. A comprehensive geriatric assessment was performed, including sociodemographic information, health status, electrocardiogram and laboratory tests. RESULTS The mean age of centenarians was 101.93 years, of whom 18 (42%) were men and 25 (58%) women. Two (4.6%) resided in nursing homes. Women had worse results than men in the evaluation of dependence on basic and instrumental activities of daily living, and the short physical performance battery performance test. A high prevalence of low Vitamin D levels (87.3%), atrial fibrillation (9.3%) and visual impairment (46.5%) was found. CONCLUSIONS This is the first study describing the medical, functional, mental and social profile of centenarians in the Peninsula of Nicoya (Blue Zone) in Costa Rica. This population has a high prevalence of malnutrition and hypertension with dependence on the basic activities of daily living, and a low prevalence for diabetes, depression, ischemic heart disease, chronic obstructive pulmonary disease, and polypharmacy.
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17
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Qiu C, Fratiglioni L. Aging without Dementia is Achievable: Current Evidence from Epidemiological Research. J Alzheimers Dis 2019; 62:933-942. [PMID: 29562544 PMCID: PMC5870011 DOI: 10.3233/jad-171037] [Citation(s) in RCA: 69] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Both the incidence and the prevalence of dementia increase exponentially with increasing age. This raises the question of whether dementia is an inevitable consequence of aging or whether aging without dementia is achievable. In this review article, we sought to summarize the current evidence from epidemiological and neuropathological studies that investigated this topic. Epidemiological studies have shown that dementia could be avoided even at extreme old ages (e.g., centenarians or supercentenarians). Furthermore, clinico-neuropathological studies found that nearly half of centenarians with dementia did not have sufficient brain pathology to explain their cognitive symptoms, while intermediate-to-high Alzheimer pathology was present in around one-third of very old people without dementia or cognitive impairment. This suggests that certain compensatory mechanisms (e.g., cognitive reserve or resilience) may play a role in helping people in extreme old ages escape dementia syndrome. Finally, evidence has been accumulating in recent years indicating that the incidence of dementia has declined in Europe and North America, which supports the view that the risk of dementia in late life is modifiable. Evidence has emerged that intervention strategies that promote general health, maintain vascular health, and increase cognitive reserve are likely to help preserve cognitive function till late life, thus achieving the goal of aging without dementia.
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Affiliation(s)
- Chengxuan Qiu
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, China.,Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet-Stockholm University, Stockholm, Sweden
| | - Laura Fratiglioni
- Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet-Stockholm University, Stockholm, Sweden.,Stockholm Gerontology Research Center, Stockholm, Sweden
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18
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Teo YV, Capri M, Morsiani C, Pizza G, Faria AMC, Franceschi C, Neretti N. Cell-free DNA as a biomarker of aging. Aging Cell 2019; 18:e12890. [PMID: 30575273 PMCID: PMC6351822 DOI: 10.1111/acel.12890] [Citation(s) in RCA: 69] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Revised: 10/12/2018] [Accepted: 11/10/2018] [Indexed: 12/18/2022] Open
Abstract
Cell-free DNA (cfDNA) is present in the circulating plasma and other body fluids and is known to originate mainly from apoptotic cells. Here, we provide the first in vivo evidence of global and local chromatin changes in human aging by analyzing cfDNA from the blood of individuals of different age groups. Our results show that nucleosome signals inferred from cfDNA are consistent with the redistribution of heterochromatin observed in cellular senescence and aging in other model systems. In addition, we detected a relative cfDNA loss at several genomic locations, such as transcription start and termination sites, 5'UTR of L1HS retrotransposons and dimeric AluY elements with age. Our results also revealed age and deteriorating health status correlate with increased enrichment of signals from cells in different tissues. In conclusion, our results show that the sequencing of circulating cfDNA from human blood plasma can be used as a noninvasive methodology to study age-associated changes to the epigenome in vivo.
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Affiliation(s)
- Yee Voan Teo
- Department of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, Rhode Island
| | - Miriam Capri
- CIG Interdepartmental Centre "Galvani", University of Bologna, Bologna, Italy
- DIMES-Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy
| | - Cristina Morsiani
- DIMES-Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy
| | - Grazia Pizza
- DIMES-Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy
- Section of Cell Biology and Functional Genomics, Division of Diabetes, Endocrinology & Metabolism, Department of Medicine, Imperial College London, London, UK
| | - Ana Maria Caetano Faria
- Departamento de Bioquímica e Imunologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | | | - Nicola Neretti
- Department of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, Rhode Island
- Center for Computational Molecular Biology, Brown University, Providence, Rhode Island
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19
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Ferri E, Gussago C, Casati M, Mari D, Rossi PD, Ciccone S, Cesari M, Arosio B. Apolipoprotein E gene in physiological and pathological aging. Mech Ageing Dev 2019; 178:41-45. [PMID: 30658061 DOI: 10.1016/j.mad.2019.01.005] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Revised: 01/02/2019] [Accepted: 01/15/2019] [Indexed: 01/03/2023]
Abstract
INTRODUCTION The genetic background plays a role on longevity. The distribution of the apolipoprotein E gene (APOE) variants (ε2, ε3, ε4) may differ across age groups, especially in the oldest old and despite geographical and ethnic specificities. Since the ε4 variant is associated with Alzheimer's disease (AD), it might represent an opportunity for exploring the relationship of APOE with physiological and pathological aging. AIM To explore the role played by APOE genotype/alleles on physiological and pathological brain aging. MATERIALS AND METHODS The study was conducted in a cohort of centenarians (n = 106), and two cohorts of octogenarians (without cognitive decline, n = 351 controls; and with AD, n = 294). RESULTS No significant differences in genotype/allele distributions were observed comparing controls to centenarians. The prevalence of ε2/ε3, ε3/ε3, ε3/ε4 and ε4/ε4 genotypes were significantly different in centenarians compared to AD. The prevalence of ε2 and ε3 alleles were significantly higher in centenarians, whereas the ε4 was less frequent. The ε4 allele was positively associated with AD, whereas a negative association was found for ε2 and ε3 alleles. CONCLUSIONS Our study indicates that ε4 allele is strongly associated with AD. APOE significantly affects AD risk, but apparently not longevity.
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Affiliation(s)
- E Ferri
- Geriatric Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via Pace 9, 20122 Milan, Italy.
| | - C Gussago
- Department of Clinical Sciences and Community Health, University of Milan, Via Pace 9, 20122 Milan, Italy.
| | - M Casati
- Geriatric Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via Pace 9, 20122 Milan, Italy.
| | - D Mari
- Geriatric Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via Pace 9, 20122 Milan, Italy; Department of Clinical Sciences and Community Health, University of Milan, Via Pace 9, 20122 Milan, Italy.
| | - P D Rossi
- Geriatric Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via Pace 9, 20122 Milan, Italy.
| | - S Ciccone
- Geriatric Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via Pace 9, 20122 Milan, Italy.
| | - M Cesari
- Geriatric Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via Pace 9, 20122 Milan, Italy; Department of Clinical Sciences and Community Health, University of Milan, Via Pace 9, 20122 Milan, Italy.
| | - B Arosio
- Geriatric Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via Pace 9, 20122 Milan, Italy; Department of Clinical Sciences and Community Health, University of Milan, Via Pace 9, 20122 Milan, Italy.
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20
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Beker N, Sikkes SAM, Hulsman M, Schmand B, Scheltens P, Holstege H. Neuropsychological Test Performance of Cognitively Healthy Centenarians: Normative Data From the Dutch 100-Plus Study. J Am Geriatr Soc 2018; 67:759-767. [PMID: 30592018 PMCID: PMC7379661 DOI: 10.1111/jgs.15729] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Revised: 11/05/2018] [Accepted: 11/13/2018] [Indexed: 12/01/2022]
Abstract
OBJECTIVES The fraction of the population that reaches the age of 100 years is growing. At this age, dementia incidence is high and cognitive functioning is highly variable across individuals. Normative data for neuropsychological tests are lacking in centenarians, which hampers the ability to evaluate their cognitive functioning for both research and clinical practice. Here, we generated norms for neuropsychological tests in a sample of cognitively healthy centenarians while taking sensory impairments into account. DESIGN Cross-sectional cohort study. SETTING Centenarians who participate in the prospective 100-plus Study. PARTICIPANTS A total of 235 centenarians (71.5% female), who self-reported to be cognitively healthy, which was confirmed by an informant and a trained researcher. MEASUREMENTS We generated normative data for 15 cognitive tests, measuring global cognition (Mini-Mental State Examination [MMSE]), premorbid intelligence, attention, language, memory, executive function, and visuospatial function by multiple linear regressions and/or by reporting percentiles. RESULTS Normative data for global cognition resulted in a mean MMSE score of 25.6 ± 3.1 (range = 17-30; interquartile range = 24-28). Vision problems and fatigue often complicated the ability to complete tests, and these problems explained 41% and 22% of the missing test scores, respectively. In contrast, hearing problems (4%) and task incomprehension (6%) rarely complicated test performance. While educational level was associated with performance on the majority of the tests, sex and age were only weakly associated with test performance. CONCLUSIONS We generated normative data for 15 common neuropsychological tests in a large sample of cognitively healthy centenarians, while taking age-related sensory impairments into consideration. These normative data allow the detection of deficits across a wide range of cognitive domains. Our results suggest that, next to education level, vision ability and the level of fatigue should be taken into account when evaluating cognitive functioning in centenarians. J Am Geriatr Soc 67:759-767, 2019.
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Affiliation(s)
- Nina Beker
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Sietske A M Sikkes
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Department of Neurology, Massachusetts General Hospital Boston, Boston, Massachusetts
| | - Marc Hulsman
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Department of Clinical Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Ben Schmand
- Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Henne Holstege
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Department of Clinical Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
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21
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Ostan R, Monti D, Mari D, Arosio B, Gentilini D, Ferri E, Passarino G, De Rango F, D’Aquila P, Mariotti S, Pasquali R, Fanelli F, Bucci L, Franceschi C, Vitale G. Heterogeneity of Thyroid Function and Impact of Peripheral Thyroxine Deiodination in Centenarians and Semi-Supercentenarians: Association With Functional Status and Mortality. J Gerontol A Biol Sci Med Sci 2018; 74:802-810. [DOI: 10.1093/gerona/gly194] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2018] [Indexed: 02/05/2023] Open
Affiliation(s)
- Rita Ostan
- Interdepartmental Centre “L. Galvani” (CIG), Alma Mater Studiorum-University of Bologna, Italy
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES), Alma Mater Studiorum-University of Bologna, Italy
| | - Daniela Monti
- Department of Experimental and Clinical Biomedical Sciences “Mario Serio”, University of Florence, Italy
| | - Daniela Mari
- Department of Clinical Sciences and Community Health (DISCCO), University of Milan, Italy
- Geriatric Unit, Fondazione Ca’ Granda, IRCCS Ospedale Maggiore Policlinico, Milan, Italy
| | - Beatrice Arosio
- Department of Clinical Sciences and Community Health (DISCCO), University of Milan, Italy
- Geriatric Unit, Fondazione Ca’ Granda, IRCCS Ospedale Maggiore Policlinico, Milan, Italy
| | - Davide Gentilini
- Unit of Bioinformatics and Statistical Genetics, Istituto Auxologico Italiano IRCCS, Milan, Italy
- Department of Brain and Behavioural Sciences, University of Pavia, Italy
| | - Evelyn Ferri
- Department of Clinical Sciences and Community Health (DISCCO), University of Milan, Italy
- Geriatric Unit, Fondazione Ca’ Granda, IRCCS Ospedale Maggiore Policlinico, Milan, Italy
| | - Giuseppe Passarino
- Department of Biology, Ecology and Earth Science, University of Calabria, Rende (CZ), Italy
| | - Francesco De Rango
- Department of Biology, Ecology and Earth Science, University of Calabria, Rende (CZ), Italy
| | - Patrizia D’Aquila
- Department of Biology, Ecology and Earth Science, University of Calabria, Rende (CZ), Italy
| | - Stefano Mariotti
- Department of Medical Sciences and Public Health, University of Cagliari, Monserrato-Cagliari, Italy
| | - Renato Pasquali
- Endocrinology Unit, Department of Medical and Surgical Sciences, St Orsola-Malpighi Hospital, University of Bologna, Italy
| | - Flaminia Fanelli
- Endocrinology Unit, Department of Medical and Surgical Sciences, St Orsola-Malpighi Hospital, University of Bologna, Italy
| | - Laura Bucci
- Interdepartmental Centre “L. Galvani” (CIG), Alma Mater Studiorum-University of Bologna, Italy
| | - Claudio Franceschi
- IRCCS, Institute of Neurological Sciences of Bologna, Bellaria Hospital, Bologna, Italy
| | - Giovanni Vitale
- Department of Clinical Sciences and Community Health (DISCCO), University of Milan, Italy
- Istituto Auxologico Italiano IRCCS, Laboratorio Sperimentale di Ricerche di Neuroendocrinologia Geriatrica ed Oncologica, Milano, 20100, Italy
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22
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Doblhammer G, Barth A. Prevalence of Morbidity at Extreme Old Age in Germany: An Observational Study Using Health Claims Data. J Am Geriatr Soc 2018; 66:1262-1268. [PMID: 29963696 DOI: 10.1111/jgs.15460] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2017] [Revised: 03/29/2018] [Accepted: 04/27/2018] [Indexed: 01/09/2023]
Abstract
We assessed the prevalence of morbidity in long-lived individuals according to age and age at death and explored the association between dementia and other diseases and surviving to age 90 and 100. Using health claims data from the largest German health insurer from 2004 to 2013, we followed birth cohorts from 1908 to 1913 from age 95 until death or survival to age 100 (n=2,865) and compared them with birth cohorts from 1918 to 1923 and their survival from age 85 to age 90 (n=17,013). We observed their exact date of death and main categories of morbidity based on International Classification of Diseases, Tenth Revision, diagnoses. For all diseases studied, when differentiated according to age at death, prevalence continued to increase with age. Nonagenarians and centenarians had significantly lower disease prevalence at each age. Dementia was associated with the highest risk of dying before becoming a centenarian (hazard ratio (HR)=1.63, 95% confidence interval (CI)=1.50-1.78), followed closely by the residual category other chronic heart disease (HR=1.42, 95% CI=1.30-1.56). Results were even stronger for the younger cohort. Our study shows that exceptionally long-lived individuals are different in terms of good health. Survival at these high ages depends primarily on the absence of dementia and chronic heart disease, with acute heart disease and pneumonia playing important roles as diseases leading directly to death.
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Affiliation(s)
- Gabriele Doblhammer
- German Center for Neurodegenerative Disease, Bonn, Germany.,Institute for Sociology and Demography, University of Rostock, Rostock, Germany.,Rostock Center for the Study of Demographic Change, Rostock, Germany
| | - Alexander Barth
- Institute for Sociology and Demography, University of Rostock, Rostock, Germany.,Rostock Center for the Study of Demographic Change, Rostock, Germany
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23
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Gellert P, Eggert S, Zwillich C, Hörter S, Kuhlmey A, Dräger D. Long-term Care Status in Centenarians and Younger Cohorts of Oldest Old in the Last 6 Years of Life: Trajectories and Potential Mechanisms. J Am Med Dir Assoc 2018; 19:535-540.e1. [PMID: 29656837 DOI: 10.1016/j.jamda.2018.02.010] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2018] [Revised: 02/17/2018] [Accepted: 02/25/2018] [Indexed: 01/07/2023]
Abstract
OBJECTIVES A large proportion of the oldest old and centenarians live in long-term care facilities. Although there may be distinct care patterns in centenarians compared with other cohorts of oldest old, the exact development concerning prevalence, length of stay, and factors that are associated with long-term care status in the last years before death is unknown. DESIGN Longitudinal analyses of health insurance data across 6 years before death. SETTING AND PARTICIPANTS In all, 1398 institutionalized and noninstitutionalized oldest old [deceased at 80-89 (octogenarians), 90-99 (nonagenarians), or over 100 years of age (centenarians)] from Germany were included. Long-term care status and transition from home care into long-term care over 6 years (34,740 person-quarters). MEASUREMENTS Dementia, musculoskeletal diseases, multimorbidity, hospital admission, gender, and age at death were derived from administrative data and analyzed using binary generalized estimating equations. RESULTS Although the initial level of long-term care (6 years before death) was higher among centenarians (65.1% vs 53.6% in nonagenarians; 36.2% in octogenarians), the rate of increase was stronger in the younger cohorts. Distinguishing between long-term care escapers, delayers, and survivors, the proportion of those who escaped, delayed, or survived the entire 6 years of observation in long-term care was 33.4%/40.4%/26.2% in centenarians, 45.0%/45.1%/9.9% in nonagenarians, and 62.7%/33.7%/3.6% in octogenarians. Age, hospital admissions, and dementia were positively associated with being in long-term care, whereas musculoskeletal disorders were negatively associated with long-term care. The association with dementia was significantly weaker in centenarians. CONCLUSIONS For centenarians, although they are more often in long-term care, the transition rate to long-term care progressed more slowly than the rates of the younger comparison cohorts of oldest old. The high proportion of long stays of centenarians in long-term care facilities require different concepts of long-term care.
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Affiliation(s)
- Paul Gellert
- Institute of Medical Sociology, Charité-Universitätsmedizin, Berlin, Germany.
| | | | - Christine Zwillich
- Institute for Health Care Research of the Knappschaft, Knappschaft, Bochum, Germany
| | - Stefan Hörter
- Institute for Health Care Research of the Knappschaft, Knappschaft, Bochum, Germany
| | - Adelheid Kuhlmey
- Institute of Medical Sociology, Charité-Universitätsmedizin, Berlin, Germany
| | - Dagmar Dräger
- Institute of Medical Sociology, Charité-Universitätsmedizin, Berlin, Germany
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24
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Santoro A, Ostan R, Candela M, Biagi E, Brigidi P, Capri M, Franceschi C. Gut microbiota changes in the extreme decades of human life: a focus on centenarians. Cell Mol Life Sci 2018; 75:129-148. [PMID: 29032502 PMCID: PMC5752746 DOI: 10.1007/s00018-017-2674-y] [Citation(s) in RCA: 140] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2017] [Accepted: 09/29/2017] [Indexed: 12/20/2022]
Abstract
The gut microbiota (GM) is a complex, evolutionarily molded ecological system, which contributes to a variety of physiological functions. The GM is highly dynamic, being sensitive to environmental stimuli, and its composition changes over the host's entire lifespan. However, the basic question of how much these changes may be ascribed to variables such as population, diet, genetics and gender, and/or to the aging process per se is still largely unanswered. We argue that comparison among studies on centenarians-the best model of healthy aging and longevity-recruited from different geographical areas/populations (different genetics and dietary habits) can help to disentangle the contribution of aging and non-aging-related variables to GM remodeling with age. The current review focuses on the role of population, gender and host genetics as possible drivers of GM modification along the human aging process. The feedback impact of age-associated GM variation on the GM-brain axis and GM metabolomics is also discussed. We likewise address the role of GM in neurodegenerative diseases such as Parkinson's and Alzheimer's, and its possible therapeutic use, taking advantage of the fact that centenarians are characterized by an extreme (healthy) phenotype versus patients suffering from age-related pathologies. Finally, it is argued that longitudinal studies combining metagenomics sequencing and in-depth phylogenetic analysis with a comprehensive phenotypic characterization of centenarians and patients using up-to-date omics (metabolomics, transcriptomics and meta-transcriptomics) are urgently needed.
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Affiliation(s)
- Aurelia Santoro
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES), Alma Mater Studiorum-University of Bologna, Via San Giacomo 12, 40126, Bologna, Italy.
- Interdepartmental Centre "L. Galvani" (CIG) Alma Mater Studiorum-University of Bologna, Via San Giacomo 12, 40126, Bologna, Italy.
| | - Rita Ostan
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES), Alma Mater Studiorum-University of Bologna, Via San Giacomo 12, 40126, Bologna, Italy
- Interdepartmental Centre "L. Galvani" (CIG) Alma Mater Studiorum-University of Bologna, Via San Giacomo 12, 40126, Bologna, Italy
| | - Marco Candela
- Department of Pharmacy and Biotechnology (FABIT), Alma Mater Studiorum-University of Bologna, Via Belmeloro 6, 40126, Bologna, Italy
| | - Elena Biagi
- Department of Pharmacy and Biotechnology (FABIT), Alma Mater Studiorum-University of Bologna, Via Belmeloro 6, 40126, Bologna, Italy
| | - Patrizia Brigidi
- Department of Pharmacy and Biotechnology (FABIT), Alma Mater Studiorum-University of Bologna, Via Belmeloro 6, 40126, Bologna, Italy
| | - Miriam Capri
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES), Alma Mater Studiorum-University of Bologna, Via San Giacomo 12, 40126, Bologna, Italy
- Interdepartmental Centre "L. Galvani" (CIG) Alma Mater Studiorum-University of Bologna, Via San Giacomo 12, 40126, Bologna, Italy
| | - Claudio Franceschi
- Institute of Neurological Sciences (IRCCS), Via Altura 3, 40139, Bologna, Italy
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