1
|
Lau CHE, Manou M, Markozannes G, Ala-Korpela M, Ben-Shlomo Y, Chaturvedi N, Engmann J, Gentry-Maharaj A, Herzig KH, Hingorani A, Järvelin MR, Kähönen M, Kivimäki M, Lehtimäki T, Marttila S, Menon U, Munroe PB, Palaniswamy S, Providencia R, Raitakari O, Schmidt AF, Sebert S, Wong A, Vineis P, Tzoulaki I, Robinson O. NMR metabolomic modeling of age and lifespan: A multicohort analysis. Aging Cell 2024:e14164. [PMID: 38637937 DOI: 10.1111/acel.14164] [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: 11/03/2023] [Revised: 03/05/2024] [Accepted: 03/19/2024] [Indexed: 04/20/2024] Open
Abstract
Metabolomic age models have been proposed for the study of biological aging, however, they have not been widely validated. We aimed to assess the performance of newly developed and existing nuclear magnetic resonance spectroscopy (NMR) metabolomic age models for prediction of chronological age (CA), mortality, and age-related disease. Ninety-eight metabolic variables were measured in blood from nine UK and Finnish cohort studies (N ≈31,000 individuals, age range 24-86 years). We used nonlinear and penalized regression to model CA and time to all-cause mortality. We examined associations of four new and two previously published metabolomic age models, with aging risk factors and phenotypes. Within the UK Biobank (N ≈102,000), we tested prediction of CA, incident disease (cardiovascular disease (CVD), type-2 diabetes mellitus, cancer, dementia, and chronic obstructive pulmonary disease), and all-cause mortality. Seven-fold cross-validated Pearson's r between metabolomic age models and CA ranged between 0.47 and 0.65 in the training cohort set (mean absolute error: 8-9 years). Metabolomic age models, adjusted for CA, were associated with C-reactive protein, and inversely associated with glomerular filtration rate. Positively associated risk factors included obesity, diabetes, smoking, and physical inactivity. In UK Biobank, correlations of metabolomic age with CA were modest (r = 0.29-0.33), yet all metabolomic model scores predicted mortality (hazard ratios of 1.01 to 1.06/metabolomic age year) and CVD, after adjustment for CA. While metabolomic age models were only moderately associated with CA in an independent population, they provided additional prediction of morbidity and mortality over CA itself, suggesting their wider applicability.
Collapse
Affiliation(s)
- Chung-Ho E Lau
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Maria Manou
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
| | - Georgios Markozannes
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
| | - Mika Ala-Korpela
- Systems Epidemiology, Faculty of Medicine, University of Oulu, Oulu, Finland
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
- NMR Metabolomics Laboratory, School of Pharmacy, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland
| | - Yoav Ben-Shlomo
- Population Health Sciences, University of Bristol, Bristol, UK
| | - Nish Chaturvedi
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
| | - Jorgen Engmann
- UCL Institute of Cardiovascular Science, Population Science and Experimental Medicine, Centre for Translational Genomics, London, UK
| | - Aleksandra Gentry-Maharaj
- MRC Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, University College London, London, UK
- Department of Women's Cancer, Elizabeth Garrett Anderson Institute for Women's Health, University College London, London, UK
| | - Karl-Heinz Herzig
- Institute of Biomedicine and Internal Medicine, Biocenter of Oulu, Medical Research Center Oulu, Oulu University Hospital, Faculty of Medicine, Oulu University, Oulu, Finland
- Department of Pediatric Gastroenterology and Metabolic Diseases, Poznan University of Medical Sciences, Poznan, Poland
| | - Aroon Hingorani
- UCL Institute of Cardiovascular Science, Population Science and Experimental Medicine, Centre for Translational Genomics, London, UK
| | - Marjo-Riitta Järvelin
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, London, UK
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Mika Kivimäki
- Brain Sciences, University College London, London, UK
| | - Terho Lehtimäki
- Faculty of Medicine and Health Technology and Finnish Cardiovascular Research Center Tampere, Tampere University, Tampere, Finland
- Department of Clinical Chemistry Fimlab Laboratories, Tampere, Finland
| | - Saara Marttila
- Molecular Epidemiology, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Gerontology Research Center (GEREC), Tampere University, Tampere, Finland
| | - Usha Menon
- MRC Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, University College London, London, UK
| | - Patricia B Munroe
- William Harvey Research Institute, Barts and the London Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK
- National Institute of Health and Care Research, Barts Cardiovascular Biomedical Research Centre, Queen Mary University of London, London, UK
| | - Saranya Palaniswamy
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Rui Providencia
- Institute of Health Informatics Research, University College London, London, UK
- Barts Heart Centre, Barts Health NHS Trust, London, UK
| | - Olli Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Amand Floriaan Schmidt
- Institute of Cardiovascular Science, Faculty of Population Health Sciences, University College London, London, UK
- Department of Cardiology, Amsterdam Cardiovascular Science, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
- UCL BHF Research Accelerator Centre, London, UK
| | - Sylvain Sebert
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
| | - Paolo Vineis
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Ioanna Tzoulaki
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Biomedical Research Foundation, Academy of Athens, Athens, Greece
| | - Oliver Robinson
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Ageing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, London, UK
| |
Collapse
|
2
|
Yao S, Colangelo LA, Perry AS, Marron MM, Yaffe K, Sedaghat S, Lima JAC, Tian Q, Clish CB, Newman AB, Shah RV, Murthy VL. Implications of metabolism on multi-systems healthy aging across the lifespan. Aging Cell 2024; 23:e14090. [PMID: 38287525 PMCID: PMC11019145 DOI: 10.1111/acel.14090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 12/30/2023] [Accepted: 01/11/2024] [Indexed: 01/31/2024] Open
Abstract
Aging is increasingly thought to involve dysregulation of metabolism in multiple organ systems that culminate in decreased functional capacity and morbidity. Here, we seek to understand complex interactions among metabolism, aging, and systems-wide phenotypes across the lifespan. Among 2469 adults (mean age 74.7 years; 38% Black) in the Health, Aging and Body Composition study we identified metabolic cross-sectionally correlates across 20 multi-dimensional aging-related phenotypes spanning seven domains. We used LASSO-PCA and bioinformatic techniques to summarize metabolome-phenome relationships and derive metabolic scores, which were subsequently linked to healthy aging, mortality, and incident outcomes (cardiovascular disease, disability, dementia, and cancer) over 9 years. To clarify the relationship of metabolism in early adulthood to aging, we tested association of these metabolic scores with aging phenotypes/outcomes in 2320 participants (mean age 32.1, 44% Black) of the Coronary Artery Risk Development in Young Adults (CARDIA) study. We observed significant overlap in metabolic correlates across the seven aging domains, specifying pathways of mitochondrial/cellular energetics, host-commensal metabolism, inflammation, and oxidative stress. Across four metabolic scores (body composition, mental-physical performance, muscle strength, and physical activity), we found strong associations with healthy aging and incident outcomes, robust to adjustment for risk factors. Metabolic scores for participants four decades younger in CARDIA were related to incident cardiovascular, metabolic, and neurocognitive performance, as well as long-term cardiovascular disease and mortality over three decades. Conserved metabolic states are strongly related to domain-specific aging and outcomes over the life-course relevant to energetics, host-commensal interactions, and mechanisms of innate immunity.
Collapse
Affiliation(s)
- Shanshan Yao
- University of PittsburgPittsburghPennsylvaniaUSA
| | | | | | | | | | | | | | - Qu Tian
- National Institute of AgingBaltimoreMarylandUSA
| | - Clary B. Clish
- Broad Institute of Harvard and MITCambridgeMassachusettsUSA
| | | | - Ravi V. Shah
- Vanderbilt University Medical CenterNashvilleTennesseeUSA
| | | |
Collapse
|
3
|
Kochlik B, Herpich C, Moreno-Villanueva M, Klaus S, Müller-Werdan U, Weinberger B, Fiegl S, Toussaint O, Debacq-Chainiaux F, Schön C, Bernhard J, Breusing N, Gonos ES, Franceschi C, Capri M, Sikora E, Hervonen A, Hurme M, Slagboom PE, Dollé MET, Jansen E, Grune T, Bürkle A, Norman K. Associations of circulating GDF15 with combined cognitive frailty and depression in older adults of the MARK-AGE study. GeroScience 2024; 46:1657-1669. [PMID: 37715843 PMCID: PMC10828354 DOI: 10.1007/s11357-023-00902-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 07/31/2023] [Indexed: 09/18/2023] Open
Abstract
Growth differentiation factor-15 (GDF15) might be involved in the development of cognitive frailty and depression. Therefore, we evaluated cross-sectional associations of plasma GDF15 with combined cognitive-frailty-and-depression in older (i.e. ≥ 55 years) and younger adults of the MARK-AGE study. In the present work, samples and data of MARK-AGE ("European study to establish bioMARKers of human AGEing") participants (N = 2736) were analyzed. Cognitive frailty was determined by the global cognitive functioning score (GCF) and depression by the Self-Rating Depression Scale (SDS score). Adults were classified into three groups: (I) neither-cognitive-frailty-nor-depression, (II) either-cognitive-frailty-or-depression or (III) both-cognitive-frailty-and-depression. Cross-sectional associations were determined by unadjusted and by age, BMI, sex, comorbidities and hsCRP-adjusted linear and logistic regression analyses. Cognitive frailty, depression, age and GDF15 were significantly related within the whole study sample. High GDF15 levels were significantly associated with both-cognitive-frailty-and-depression (adjusted β = 0.177 [0.044 - 0.310], p = 0.009), and with low GCF scores and high SDS scores. High GDF15 concentrations and quartiles were significantly associated with higher odds to have both-cognitive-frailty-and-depression (adjusted odds ratio = 2.353 [1.267 - 4.372], p = 0.007; and adjusted odds ratio = 1.414 [1.025 - 1.951], p = 0.035, respectively) independent of age, BMI, sex, comorbidities and hsCRP. These associations remained significant when evaluating older adults. We conclude that plasma GDF15 concentrations are significantly associated with combined cognitive-frailty-and-depression status and, with cognitive frailty and depressive symptoms separately in old as well as young community-dwelling adults.
Collapse
Affiliation(s)
- Bastian Kochlik
- Department of Nutrition and Gerontology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany
- Department of Molecular Toxicology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany
- Food4Future (F4F), c/o Leibniz Institute of Vegetable and Ornamental Crops (IGZ), Theodor-Echtermeyer-Weg 1, 14979, Grossbeeren, Germany
| | - Catrin Herpich
- Department of Nutrition and Gerontology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam , Potsdam, Germany
- Department of Geriatrics and Medical Gerontology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany
| | - María Moreno-Villanueva
- Molecular Toxicology Group, Department of Biology, University of Konstanz, Constance, Germany
- Human Performance Research Centre, Department of Sport Science, University of Konstanz, Constance, Germany
| | - Susanne Klaus
- Institute of Nutritional Science, University of Potsdam , Potsdam, Germany
- Department of Physiology of Energy Metabolism, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany
| | - Ursula Müller-Werdan
- Department of Geriatrics and Medical Gerontology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany
- Protestant Geriatric Center Berlin (EGZB), Berlin, Germany
| | - Birgit Weinberger
- Research Institute for Biomedical Aging Research, Universität Innsbruck, Rennweg 10, 6020, Innsbruck, Austria
| | - Simone Fiegl
- UMIT TIROL, Eduard-Wallnöfer-Zentrum 1, 6060, Hall in Tirol, Austria
| | - Olivier Toussaint
- URBC-Narilis, University of Namur, Rue de Bruxelles 61, B-5000, Namur, Belgium
| | | | | | - Jürgen Bernhard
- BioTeSys GmbH, Schelztorstraße 54-56, 73728, Esslingen, Germany
| | - Nicolle Breusing
- Institute of Nutritional Medicine, Department of Applied Nutritional Science/Dietetics, University of Hohenheim, Stuttgart, Germany
| | - Efstathios S Gonos
- Institute of Biological Research and Biotechnology, National Hellenic Research Foundation (NHRF, 48 Vas. Constantinou Ave, 11635, Athens, Greece
| | - Claudio Franceschi
- Institute of Information Technology, Mathematics and Mechanics, Department of Applied Mathematics, National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia
| | - Miriam Capri
- Department of Medical and Surgical Sciences, University of Bologna-Alma Mater Studiorum, Bologna, Italy
- Alma Mater Research Institute On Global Challenges and Climate Change (Alma Climate), University of Bologna, Bologna, Italy
| | - Ewa Sikora
- Laboratory of the Molecular Bases of Ageing, Polish Academy of Sciences, Nencki Institute of Experimental Biology, Warsaw, Poland
| | - Antti Hervonen
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Mikko Hurme
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - P Eline Slagboom
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Martijn E T Dollé
- Centre for Health Protection, National Institute for Public Health and the Environment (RIVM), P.O. Box 1, 3720 BA, Bilthoven, The Netherlands
| | - Eugene Jansen
- Centre for Health Protection, National Institute for Public Health and the Environment (RIVM), P.O. Box 1, 3720 BA, Bilthoven, The Netherlands
| | - Tilman Grune
- Department of Molecular Toxicology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam , Potsdam, Germany
- Faculty of Chemistry, Department of Physiological Chemistry, University of Vienna, Vienna, Austria
- German Centre for Cardiovascular Research (DZHK), Partner Site Berlin, Berlin, Germany
| | - Alexander Bürkle
- Molecular Toxicology Group, Department of Biology, University of Konstanz, Constance, Germany
| | - Kristina Norman
- Department of Nutrition and Gerontology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany.
- Institute of Nutritional Science, University of Potsdam , Potsdam, Germany.
- Department of Geriatrics and Medical Gerontology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany.
- German Centre for Cardiovascular Research (DZHK), Partner Site Berlin, Berlin, Germany.
| |
Collapse
|
4
|
Li H, Wu S, Li J, Xiong Z, Yang K, Ye W, Ren J, Wang Q, Xiong M, Zheng Z, Zhang S, Han Z, Yang P, Jiang B, Ping J, Zuo Y, Lu X, Zhai Q, Yan H, Wang S, Ma S, Zhang B, Ye J, Qu J, Yang YG, Zhang F, Liu GH, Bao Y, Zhang W. HALL: a comprehensive database for human aging and longevity studies. Nucleic Acids Res 2024; 52:D909-D918. [PMID: 37870433 PMCID: PMC10767887 DOI: 10.1093/nar/gkad880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 09/15/2023] [Accepted: 10/06/2023] [Indexed: 10/24/2023] Open
Abstract
Diverse individuals age at different rates and display variable susceptibilities to tissue aging, functional decline and aging-related diseases. Centenarians, exemplifying extreme longevity, serve as models for healthy aging. The field of human aging and longevity research is rapidly advancing, garnering significant attention and accumulating substantial data in recent years. Omics technologies, encompassing phenomics, genomics, transcriptomics, proteomics, metabolomics and microbiomics, have provided multidimensional insights and revolutionized cohort-based investigations into human aging and longevity. Accumulated data, covering diverse cells, tissues and cohorts across the lifespan necessitates the establishment of an open and integrated database. Addressing this, we established the Human Aging and Longevity Landscape (HALL), a comprehensive multi-omics repository encompassing a diverse spectrum of human cohorts, spanning from young adults to centenarians. The core objective of HALL is to foster healthy aging by offering an extensive repository of information on biomarkers that gauge the trajectory of human aging. Moreover, the database facilitates the development of diagnostic tools for aging-related conditions and empowers targeted interventions to enhance longevity. HALL is publicly available at https://ngdc.cncb.ac.cn/hall/index.
Collapse
Affiliation(s)
- Hao 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
| | - Song Wu
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- National Genomics Data Center, 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
| | - 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
| | - Zhuang Xiong
- Interdisciplinary Institute for Medical Engineering, Fuzhou University, Fuzhou 350002, China
| | - Kuan Yang
- 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
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing 101408, China
| | - Weidong Ye
- Department of Vascular Surgery, Quzhou Affiliated Hospital of Wenzhou Medical University, Beijing 100101, China
- The Joint Innovation Center for Engineering in Medicine, Quzhou Affiliated Hospital of Wenzhou Medical University, 324000, 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
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing 101408, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, 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
| | - Muzhao Xiong
- 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
| | - Zikai Zheng
- 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
| | - Shuo 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
| | - Zichu Han
- 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
| | - Peng Yang
- 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
| | - Beier Jiang
- Department of Vascular Surgery, Quzhou Affiliated Hospital of Wenzhou Medical University, Beijing 100101, China
| | - Jiale Ping
- 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
| | - Yuesheng Zuo
- 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
| | - Xiaoyong Lu
- 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
| | - Qiaocheng Zhai
- Department of Vascular Surgery, Quzhou Affiliated Hospital of Wenzhou Medical University, Beijing 100101, China
| | - Haoteng Yan
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing 100053, China
- Aging Translational Medicine Center, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Si Wang
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing 100053, China
- Aging Translational Medicine Center, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
- Aging Biomarker Consortium, Beijing 100101, China
| | - Shuai Ma
- State Key Laboratory of Membrane 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
- Aging Biomarker Consortium, Beijing 100101, China
| | - Bing 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
| | - Jinlin Ye
- Department of Vascular Surgery, Quzhou Affiliated Hospital of Wenzhou Medical University, 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
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China
- Aging Biomarker Consortium, Beijing 100101, China
| | - Yun-Gui Yang
- 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
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing 101408, China
| | - Feng Zhang
- The Joint Innovation Center for Engineering in Medicine, Quzhou Affiliated Hospital of Wenzhou Medical University, 324000, China
| | - Guang-Hui Liu
- State Key Laboratory of Membrane 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
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, 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
- Aging Translational Medicine Center, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
- Aging Biomarker Consortium, Beijing 100101, China
| | - Yiming Bao
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- National Genomics Data Center, 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
| | - 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
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing 101408, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China
- Aging Biomarker Consortium, Beijing 100101, China
| |
Collapse
|
5
|
Lau CHE, Manou M, Markozannes G, Ala-Korpela M, Ben-Shlomo Y, Chaturvedi N, Engmann J, Gentry-Maharaj A, Herzig KH, Hingorani A, Järvelin MR, Kähönen M, Kivimäki M, Lehtimäki T, Marttila S, Menon U, Munroe PB, Palaniswamy S, Providencia R, Raitakari O, Schmidt F, Sebert S, Wong A, Vineis P, Tzoulaki I, Robinson O. NMR metabolomic modelling of age and lifespan: a multi-cohort analysis. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.11.07.23298200. [PMID: 37986811 PMCID: PMC10659522 DOI: 10.1101/2023.11.07.23298200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
Metabolomic age models have been proposed for the study of biological aging, however they have not been widely validated. We aimed to assess the performance of newly developed and existing nuclear magnetic resonance spectroscopy (NMR) metabolomic age models for prediction of chronological age (CA), mortality, and age-related disease. 98 metabolic variables were measured in blood from nine UK and Finnish cohort studies (N ≈ 31,000 individuals, age range 24-86 years). We used non-linear and penalised regression to model CA and time to all-cause mortality. We examined associations of four new and two previously published metabolomic age models, with ageing risk factors and phenotypes. Within the UK Biobank (N≈ 102,000), we tested prediction of CA, incident disease (cardiovascular disease (CVD), type-2 diabetes mellitus, cancer, dementia, chronic obstructive pulmonary disease) and all-cause mortality. Cross-validated Pearson's r between metabolomic age models and CA ranged between 0.47-0.65 in the training set (mean absolute error: 8-9 years). Metabolomic age models, adjusted for CA, were associated with C-reactive protein, and inversely associated with glomerular filtration rate. Positively associated risk factors included obesity, diabetes, smoking, and physical inactivity. In UK Biobank, correlations of metabolomic age with chronological age were modest (r = 0.29-0.33), yet all metabolomic model scores predicted mortality (hazard ratios of 1.01 to 1.06 / metabolomic age year) and CVD, after adjustment for CA. While metabolomic age models were only moderately associated with CA in an independent population, they provided additional prediction of morbidity and mortality over CA itself, suggesting their wider applicability.
Collapse
Affiliation(s)
- Chung-Ho E. Lau
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Maria Manou
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
| | - Georgios Markozannes
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
| | - Mika Ala-Korpela
- Systems Epidemiology, Faculty of Medicine, University of Oulu, Oulu, Finland
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
- NMR Metabolomics Laboratory, School of Pharmacy, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland
| | - Yoav Ben-Shlomo
- Population Health Sciences, University of Bristol, Bristol, UK
| | - Nish Chaturvedi
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, UK
| | - Jorgen Engmann
- UCL Institute of Cardiovascular Science, Population Science and Experimental Medicine, Centre for Translational Genomics
| | - Aleksandra Gentry-Maharaj
- MRC Clinical Trials Unit, Institute of Clinical Trials and Methodology, UCL, London, UK
- Department of Women’s Cancer, Elizabeth Garrett Anderson Institute for Women’s Health, UCL, London, UK
| | - Karl-Heinz Herzig
- Institute of Biomedicine and Internal Medicine, Medical Research Center Oulu, Oulu University Hospital, Faculty of Medicine, Oulu University; Finland
- Department of Pediatric Gastroenterology and Metabolic Diseases, Poznan University of Medical Sciences, Poland
| | - Aroon Hingorani
- UCL Institute of Cardiovascular Science, Population Science and Experimental Medicine, Centre for Translational Genomics
| | - Marjo-Riitta Järvelin
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, London, UK
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, Finland
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Mika Kivimäki
- Brain Sciences, University College London, London, UK
| | - Terho Lehtimäki
- Faculty of Medicine and Health Technology and Finnish Cardiovascular Research Center Tampere, Tampere University, Tampere, Finland
- Department of Clinical Chemistry Fimlab Laboratories, Tampere, Finland
| | - Saara Marttila
- Molecular Epidemiology, Faculty of Medicine and Health Technology, Tampere University, Finland
- Gerontology Research Center (GEREC), Tampere University, Finland
| | - Usha Menon
- MRC Clinical Trials Unit, Institute of Clinical Trials and Methodology, UCL, London, UK
| | - Patricia B. Munroe
- William Harvey Research Institute, Barts and the London Faculty of Medicine and Dentistry, Queen Mary University of London, UK
- National Institute of Health and Care Research, Barts Cardiovascular Biomedical Research Centre, Queen Mary University of London, UK
| | - Saranya Palaniswamy
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Rui Providencia
- Institute of Health Informatics Research, University College London, London, UK
- Barts Heart Centre, Barts Health NHS Trust, London, UK
| | - Olli Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Floriaan Schmidt
- Institute of Cardiovascular Science, Faculty of Population Health Sciences, University College London, London, UK
- Department of Cardiology, Amsterdam Cardiovascular Science, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
- UCL BHF Research Accelerator Centre, London, UK
| | - Sylvain Sebert
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, UK
| | - Paolo Vineis
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Ioanna Tzoulaki
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Oliver Robinson
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Ageing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, London, UK
| |
Collapse
|
6
|
Margaritelis NV. Personalized redox biology: Designs and concepts. Free Radic Biol Med 2023; 208:112-125. [PMID: 37541453 DOI: 10.1016/j.freeradbiomed.2023.08.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 07/19/2023] [Accepted: 08/01/2023] [Indexed: 08/06/2023]
Abstract
Personalized interventions are regarded as a next-generation approach in almost all fields of biomedicine, such as clinical medicine, exercise, nutrition and pharmacology. At the same time, an increasing body of evidence indicates that redox processes regulate, at least in part, multiple aspects of human physiology and pathology. As a result, the idea of applying personalized redox treatments to improve their efficacy has gained popularity among researchers in recent years. The aim of the present primer-style review was to highlight some crucial yet underappreciated methodological, statistical, and interpretative concepts within the redox biology literature, while also providing a physiology-oriented perspective on personalized redox biology. The topics addressed are: (i) the critical issue of investigating the potential existence of inter-individual variability; (ii) the importance of distinguishing a genuine and consistent response of a subject from a chance finding; (iii) the challenge of accurately quantifying the effect of a redox treatment when dealing with 'extreme' groups due to mathematical coupling and regression to the mean; and (iv) research designs and analyses that have been implemented in other fields, and can be reframed and exploited in a redox biology context.
Collapse
Affiliation(s)
- Nikos V Margaritelis
- Department of Physical Education and Sports Science at Serres, Aristotle University of Thessaloniki, Agios Ioannis, 62122, Serres, Greece.
| |
Collapse
|
7
|
Salvioli S, Basile MS, Bencivenga L, Carrino S, Conte M, Damanti S, De Lorenzo R, Fiorenzato E, Gialluisi A, Ingannato A, Antonini A, Baldini N, Capri M, Cenci S, Iacoviello L, Nacmias B, Olivieri F, Rengo G, Querini PR, Lattanzio F. Biomarkers of aging in frailty and age-associated disorders: State of the art and future perspective. Ageing Res Rev 2023; 91:102044. [PMID: 37647997 DOI: 10.1016/j.arr.2023.102044] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 08/24/2023] [Accepted: 08/25/2023] [Indexed: 09/01/2023]
Abstract
According to the Geroscience concept that organismal aging and age-associated diseases share the same basic molecular mechanisms, the identification of biomarkers of age that can efficiently classify people as biologically older (or younger) than their chronological (i.e. calendar) age is becoming of paramount importance. These people will be in fact at higher (or lower) risk for many different age-associated diseases, including cardiovascular diseases, neurodegeneration, cancer, etc. In turn, patients suffering from these diseases are biologically older than healthy age-matched individuals. Many biomarkers that correlate with age have been described so far. The aim of the present review is to discuss the usefulness of some of these biomarkers (especially soluble, circulating ones) in order to identify frail patients, possibly before the appearance of clinical symptoms, as well as patients at risk for age-associated diseases. An overview of selected biomarkers will be discussed in this regard, in particular we will focus on biomarkers related to metabolic stress response, inflammation, and cell death (in particular in neurodegeneration), all phenomena connected to inflammaging (chronic, low-grade, age-associated inflammation). In the second part of the review, next-generation markers such as extracellular vesicles and their cargos, epigenetic markers and gut microbiota composition, will be discussed. Since recent progresses in omics techniques have allowed an exponential increase in the production of laboratory data also in the field of biomarkers of age, making it difficult to extract biological meaning from the huge mass of available data, Artificial Intelligence (AI) approaches will be discussed as an increasingly important strategy for extracting knowledge from raw data and providing practitioners with actionable information to treat patients.
Collapse
Affiliation(s)
- Stefano Salvioli
- Department of Medical and Surgical Science, University of Bologna, Bologna, Italy; IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
| | | | - Leonardo Bencivenga
- Department of Translational Medical Sciences, University of Naples Federico II, Napoli, Italy
| | - Sara Carrino
- Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
| | - Maria Conte
- Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
| | - Sarah Damanti
- IRCCS Ospedale San Raffaele and Vita-Salute San Raffaele University, Milano, Italy
| | - Rebecca De Lorenzo
- IRCCS Ospedale San Raffaele and Vita-Salute San Raffaele University, Milano, Italy
| | - Eleonora Fiorenzato
- Parkinson's Disease and Movement Disorders Unit, Center for Rare Neurological Diseases (ERN-RND), Department of Neurosciences, University of Padova, Padova, Italy
| | - Alessandro Gialluisi
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli, Italy; EPIMED Research Center, Department of Medicine and Surgery, University of Insubria, Varese, Italy
| | - Assunta Ingannato
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy; IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Angelo Antonini
- Parkinson's Disease and Movement Disorders Unit, Center for Rare Neurological Diseases (ERN-RND), Department of Neurosciences, University of Padova, Padova, Italy; Center for Neurodegenerative Disease Research (CESNE), Department of Neurosciences, University of Padova, Padova, Italy
| | - Nicola Baldini
- IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy; Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Miriam Capri
- Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
| | - Simone Cenci
- IRCCS Ospedale San Raffaele and Vita-Salute San Raffaele University, Milano, Italy
| | - Licia Iacoviello
- Department of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli, Italy; EPIMED Research Center, Department of Medicine and Surgery, University of Insubria, Varese, Italy
| | - Benedetta Nacmias
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy; IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Fabiola Olivieri
- Department of Clinical and Molecular Sciences, Università Politecnica Delle Marche, Ancona, Italy; Clinic of Laboratory and Precision Medicine, IRCCS INRCA, Ancona, Italy
| | - Giuseppe Rengo
- Department of Translational Medical Sciences, University of Naples Federico II, Napoli, Italy; Istituti Clinici Scientifici Maugeri IRCCS, Scientific Institute of Telese Terme, Telese Terme, Italy
| | | | | |
Collapse
|
8
|
Statsenko Y, Kuznetsov NV, Morozova D, Liaonchyk K, Simiyu GL, Smetanina D, Kashapov A, Meribout S, Gorkom KNV, Hamoudi R, Ismail F, Ansari SA, Emerald BS, Ljubisavljevic M. Reappraisal of the Concept of Accelerated Aging in Neurodegeneration and Beyond. Cells 2023; 12:2451. [PMID: 37887295 PMCID: PMC10605227 DOI: 10.3390/cells12202451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 09/01/2023] [Accepted: 09/06/2023] [Indexed: 10/28/2023] Open
Abstract
BACKGROUND Genetic and epigenetic changes, oxidative stress and inflammation influence the rate of aging, which diseases, lifestyle and environmental factors can further accelerate. In accelerated aging (AA), the biological age exceeds the chronological age. OBJECTIVE The objective of this study is to reappraise the AA concept critically, considering its weaknesses and limitations. METHODS We reviewed more than 300 recent articles dealing with the physiology of brain aging and neurodegeneration pathophysiology. RESULTS (1) Application of the AA concept to individual organs outside the brain is challenging as organs of different systems age at different rates. (2) There is a need to consider the deceleration of aging due to the potential use of the individual structure-functional reserves. The latter can be restored by pharmacological and/or cognitive therapy, environment, etc. (3) The AA concept lacks both standardised terminology and methodology. (4) Changes in specific molecular biomarkers (MBM) reflect aging-related processes; however, numerous MBM candidates should be validated to consolidate the AA theory. (5) The exact nature of many potential causal factors, biological outcomes and interactions between the former and the latter remain largely unclear. CONCLUSIONS Although AA is commonly recognised as a perspective theory, it still suffers from a number of gaps and limitations that assume the necessity for an updated AA concept.
Collapse
Affiliation(s)
- Yauhen Statsenko
- Department of Radiology, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates; (Y.S.); (G.L.S.); (D.S.); (A.K.); (S.M.); (K.N.-V.G.)
- ASPIRE Precision Medicine Research Institute Abu Dhabi, United Arab Emirates University, Al Ain 27272, United Arab Emirates; (D.M.); (K.L.); (R.H.); (S.A.A.); (B.S.E.); (M.L.)
- Big Data Analytic Center, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates
| | - Nik V. Kuznetsov
- ASPIRE Precision Medicine Research Institute Abu Dhabi, United Arab Emirates University, Al Ain 27272, United Arab Emirates; (D.M.); (K.L.); (R.H.); (S.A.A.); (B.S.E.); (M.L.)
| | - Daria Morozova
- ASPIRE Precision Medicine Research Institute Abu Dhabi, United Arab Emirates University, Al Ain 27272, United Arab Emirates; (D.M.); (K.L.); (R.H.); (S.A.A.); (B.S.E.); (M.L.)
| | - Katsiaryna Liaonchyk
- ASPIRE Precision Medicine Research Institute Abu Dhabi, United Arab Emirates University, Al Ain 27272, United Arab Emirates; (D.M.); (K.L.); (R.H.); (S.A.A.); (B.S.E.); (M.L.)
| | - Gillian Lylian Simiyu
- Department of Radiology, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates; (Y.S.); (G.L.S.); (D.S.); (A.K.); (S.M.); (K.N.-V.G.)
| | - Darya Smetanina
- Department of Radiology, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates; (Y.S.); (G.L.S.); (D.S.); (A.K.); (S.M.); (K.N.-V.G.)
| | - Aidar Kashapov
- Department of Radiology, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates; (Y.S.); (G.L.S.); (D.S.); (A.K.); (S.M.); (K.N.-V.G.)
| | - Sarah Meribout
- Department of Radiology, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates; (Y.S.); (G.L.S.); (D.S.); (A.K.); (S.M.); (K.N.-V.G.)
| | - Klaus Neidl-Van Gorkom
- Department of Radiology, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates; (Y.S.); (G.L.S.); (D.S.); (A.K.); (S.M.); (K.N.-V.G.)
| | - Rifat Hamoudi
- ASPIRE Precision Medicine Research Institute Abu Dhabi, United Arab Emirates University, Al Ain 27272, United Arab Emirates; (D.M.); (K.L.); (R.H.); (S.A.A.); (B.S.E.); (M.L.)
- Department of Clinical Sciences, College of Medicine, University of Sharjah, Sharjah 27272, United Arab Emirates
- Division of Surgery and Interventional Science, University College London, London NW3 2PS, UK
| | - Fatima Ismail
- Department of Pediatrics, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates;
| | - Suraiya Anjum Ansari
- ASPIRE Precision Medicine Research Institute Abu Dhabi, United Arab Emirates University, Al Ain 27272, United Arab Emirates; (D.M.); (K.L.); (R.H.); (S.A.A.); (B.S.E.); (M.L.)
- Department of Biochemistry and Molecular Biology, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates
| | - Bright Starling Emerald
- ASPIRE Precision Medicine Research Institute Abu Dhabi, United Arab Emirates University, Al Ain 27272, United Arab Emirates; (D.M.); (K.L.); (R.H.); (S.A.A.); (B.S.E.); (M.L.)
- Department of Anatomy, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates
| | - Milos Ljubisavljevic
- ASPIRE Precision Medicine Research Institute Abu Dhabi, United Arab Emirates University, Al Ain 27272, United Arab Emirates; (D.M.); (K.L.); (R.H.); (S.A.A.); (B.S.E.); (M.L.)
- Department of Physiology, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates
| |
Collapse
|
9
|
Ren J, Song M, Zhang W, Cai JP, Cao F, Cao Z, Chan P, Chen C, Chen G, Chen HZ, Chen J, Chen XC, Ci W, Ding BS, Ding Q, Gao F, Gao S, Han JDJ, He QY, Huang K, Ju Z, Kong QP, Li J, Li J, Li J, Li X, Liu B, Liu F, Liu JP, 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 R, Song W, Songyang Z, Sun L, Sun YE, Sun Y, Tian M, Tian XL, Tian Y, Wang J, Wang S, Wang S, Wang W, Wang X, Wang X, Wang YJ, Wang Y, Wong CCL, Xiang AP, Xiao Y, Xiao ZX, Xie Z, Xiong W, Xu D, Yang Z, Ye J, Yu W, Yue R, Zhang C, Zhang H, Zhang L, Zhang X, Zhang Y, Zhang YW, Zhang Z, Zhao T, Zhao Y, Zhou Z, Zhu D, Zou W, Pei G, Liu GH. The Aging Biomarker Consortium represents a new era for aging research in China. Nat Med 2023; 29:2162-2165. [PMID: 37468667 DOI: 10.1038/s41591-023-02444-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/21/2023]
Affiliation(s)
- Jie Ren
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, China
| | - Moshi Song
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 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, China
- University of Chinese Academy of Sciences, Beijing, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, China
| | - Jian-Ping Cai
- The NHC Key Laboratory of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, China
| | - Feng Cao
- Department of Cardiology, The Second Medical Centre, Chinese PLA General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Zhongwei Cao
- State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Piu Chan
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Chang Chen
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Guobing Chen
- Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, China
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Guangzhou, China
| | - Hou-Zao Chen
- Department of Biochemistry and 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, 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, China
| | - Xiao-Chun Chen
- Department of Neurology, Union Hospital of Fujian Medical University, Fuzhou, 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, China
| | - Bi-Sen Ding
- State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 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, China
| | - Feng Gao
- Key Laboratory of Aerospace Medicine, Ministry of Education, School of Aerospace Medicine, Fourth Military Medical University, Xi'an, China
| | - Shaorong Gao
- Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Jing-Dong J Han
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology, Peking University, Beijing, China
| | - Qi-Yang He
- Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Kai Huang
- Clinic Center of Human Gene Research, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Clinical Research Center of Metabolic and Cardiovascular Disease, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, China
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhenyu Ju
- Key Laboratory of Regenerative Medicine of Ministry of Education, Institute of Ageing and Regenerative Medicine, Jinan University, Guangzhou, China
| | - Qing-Peng Kong
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 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, China
| | - Ji Li
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Jian Li
- The NHC Key Laboratory of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, China
| | - Jingyi Li
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China
| | - Xin Li
- University of Chinese Academy of Sciences, Beijing, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Baohua Liu
- School of Basic Medical Sciences, Shenzhen University Medical School, Shenzhen, China
| | - Feng Liu
- Metabolic Syndrome Research Center, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Jun-Ping Liu
- Institute of Ageing Research, Hangzhou Normal University, School of Basic Medical Sciences, Hangzhou, China
| | - Lin Liu
- Department of Genetics and Cell Biology, College of Life Science, Nankai University, Tianjin, China
- Haihe Laboratory of Cell Ecosystem, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
- Institute of Translational Medicine, Tianjin Union Medical Center, Nankai University, Tianjin, China
- State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin, 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, China
| | - Qiang Liu
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Institute of Immunology, Tianjin Medical University, Tianjin, 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, China
| | - Yong Liu
- College of Life Sciences, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, China
| | - Xianghang Luo
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, China
| | - Shuai Ma
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, China
| | - Xinran Ma
- Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 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, 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, China
| | - Yaojin Peng
- University of Chinese Academy of Sciences, Beijing, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Jing Qu
- University of Chinese Academy of Sciences, Beijing, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 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, China
- International Center for Aging and Cancer, Hainan Medical University, Haikou, China
| | - Weihong Song
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Institute of Aging, Key Laboratory of Alzheimer's Disease of Zhejiang Province, Zhejiang Clinical Research Center for Mental Disorders, School of Mental Health and The Affiliated Kangning Hospital, Wenzhou Medical University, Wenzhou, 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, China
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Liang Sun
- The NHC Key Laboratory of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, China
| | - Yi Eve Sun
- Stem Cell Translational Research Center, Tongji Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yu Sun
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, China
| | - Mei Tian
- Human Phenome Institute, Fudan University, Shanghai, China
| | - Xiao-Li Tian
- Aging and Vascular Diseases, Human Aging Research Institute and School of Life Science, Nanchang University, and Jiangxi Key Laboratory of Human Aging, Nanchang, China
| | - Ye Tian
- University of Chinese Academy of Sciences, Beijing, China
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Jianwei Wang
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 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, China
| | - Si Wang
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, China
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, China
| | - Wengong Wang
- Department of Biochemistry and Molecular Biology, Beijing Key Laboratory of Protein Posttranslational Modifications and Cell Function, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China
| | - Xia Wang
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 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, China
| | - Yan-Jiang Wang
- Department of Neurology and Center for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
| | - Yunfang Wang
- Hepatobiliary and Pancreatic Center, Medical Research Center, Beijing Tsinghua Changgung Hospital, Beijing, 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 and Peking Union Medical College, Beijing, China
| | - Andy Peng Xiang
- Center for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, China
- National-Local Joint Engineering Research Center for Stem Cells and Regenerative Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Yichuan Xiao
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, China
| | - Zhi-Xiong Xiao
- Center of Growth, Metabolism and Aging, Key Laboratory of Bio-Resource and Eco-Environment, Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China
| | - Zhengwei Xie
- Peking University International Cancer Institute, Health Science Center, Peking University, Beijing, China
- Beijing & Qingdao Langu Pharmaceutical R&D Platform, Beijing Gigaceuticals, Beijing, China
| | - Wei Xiong
- Hefei National Research Center for Physical Sciences at the Microscale, CAS Key Laboratory of Brain Function and Disease, Biomedical Sciences and Health Laboratory of Anhui Province, School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Daichao Xu
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, China
| | - Ze Yang
- The NHC Key Laboratory of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, China
| | - Jing Ye
- Department of Geriatrics, Medical Center on Aging of Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- International Laboratory in Hematology and Cancer, Shanghai Jiao Tong University School of Medicine/Ruijin Hospital, Shanghai, China
| | - Wei Yu
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai, 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, China
| | - Cuntai Zhang
- Department of Geriatrics, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory of Vascular Aging, Ministry of Education, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongbo Zhang
- Center for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, China
- The SYSU-YSG Joint Laboratory for Skin Health Research, Sun Yat-sen University, Guangzhou, China
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Liang Zhang
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, China
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, China
| | - Xinchao Zhang
- Department of Emergency, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Yong Zhang
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 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, China
| | - Yun-Wu Zhang
- Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, 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, China
- Department of Neurosciences, Hengyang Medical School, University of South China, Hengyang, China
| | - Tongbiao Zhao
- University of Chinese Academy of Sciences, Beijing, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 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, China
- Research Unit of New Techniques for Live-cell Metabolic Imaging, Chinese Academy of Medical Sciences, Beijing, China
| | - Zhongjun Zhou
- School of Biomedical Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Dahai Zhu
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 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, 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, 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, China
| | - Guang-Hui Liu
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
- University of Chinese Academy of Sciences, Beijing, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China.
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, China.
| |
Collapse
|
10
|
Moqri M, Herzog C, Poganik JR, Justice J, Belsky DW, Higgins-Chen A, Moskalev A, Fuellen G, Cohen AA, Bautmans I, Widschwendter M, Ding J, Fleming A, Mannick J, Han JDJ, Zhavoronkov A, Barzilai N, Kaeberlein M, Cummings S, Kennedy BK, Ferrucci L, Horvath S, Verdin E, Maier AB, Snyder MP, Sebastiano V, Gladyshev VN. Biomarkers of aging for the identification and evaluation of longevity interventions. Cell 2023; 186:3758-3775. [PMID: 37657418 PMCID: PMC11088934 DOI: 10.1016/j.cell.2023.08.003] [Citation(s) in RCA: 36] [Impact Index Per Article: 36.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 08/01/2023] [Accepted: 08/02/2023] [Indexed: 09/03/2023]
Abstract
With the rapid expansion of aging biology research, the identification and evaluation of longevity interventions in humans have become key goals of this field. Biomarkers of aging are critically important tools in achieving these objectives over realistic time frames. However, the current lack of standards and consensus on the properties of a reliable aging biomarker hinders their further development and validation for clinical applications. Here, we advance a framework for the terminology and characterization of biomarkers of aging, including classification and potential clinical use cases. We discuss validation steps and highlight ongoing challenges as potential areas in need of future research. This framework sets the stage for the development of valid biomarkers of aging and their ultimate utilization in clinical trials and practice.
Collapse
Affiliation(s)
- Mahdi Moqri
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Genetics, School of Medicine, Stanford University, Stanford, CA, USA; Department of Obstetrics and Gynecology, School of Medicine, Stanford University, Stanford, CA, USA
| | - Chiara Herzog
- European Translational Oncology Prevention and Screening Institute, Universität Innsbruck, Innsbruck, Austria
| | - Jesse R Poganik
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jamie Justice
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Daniel W Belsky
- Department of Epidemiology, Butler Columbia Aging Center, Mailman School of Public Health, Columbia University, New York, NY, USA
| | | | - Alexey Moskalev
- Institute of Biogerontology, Lobachevsky University, Nizhny Novgorod, Russia
| | - Georg Fuellen
- Institute for Biostatistics and Informatics in Medicine and Ageing Research, Rostock University Medical Center, Rostock, Germany; School of Medicine, University College Dublin, Dublin, Ireland
| | - Alan A Cohen
- Department of Environmental Health Sciences, Butler Columbia Aging Center, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Ivan Bautmans
- Gerontology Department, Vrije Universiteit Brussel, Brussels, Belgium; Frailty in Ageing Research Department, Vrije Universiteit Brussel, Brussels, Belgium
| | - Martin Widschwendter
- European Translational Oncology Prevention and Screening Institute, Universität Innsbruck, Innsbruck, Austria; Department of Women's Cancer, EGA Institute for Women's Health, University College London, London, UK; Department of Women's and Children's Health, Division of Obstetrics and Gynaecology, Karolinska Institutet, Stockholm, Sweden
| | - Jingzhong Ding
- Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | | | | | - Jing-Dong Jackie Han
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology, Peking University, Beijing, China
| | - Alex Zhavoronkov
- Insilico Medicine Hong Kong, Pak Shek Kok, New Territories, Hong Kong SAR, China
| | - Nir Barzilai
- Institute for Aging Research, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Matt Kaeberlein
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Steven Cummings
- San Francisco Coordinating Center, California Pacific Medical Center Research Institute, San Francisco, CA, USA; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Brian K Kennedy
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | | | | | - Eric Verdin
- Buck Institute for Research on Aging, Novato, CA, USA
| | - Andrea B Maier
- Department of Human Movement Sciences, @AgeAmsterdam, Amsterdam Movement Sciences, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Healthy Longevity Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Centre for Healthy Longevity, @AgeSingapore, National University Health System, Singapore, Singapore
| | - Michael P Snyder
- Department of Genetics, School of Medicine, Stanford University, Stanford, CA, USA.
| | - Vittorio Sebastiano
- Department of Obstetrics and Gynecology, School of Medicine, Stanford University, Stanford, CA, USA.
| | - Vadim N Gladyshev
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| |
Collapse
|
11
|
Alehagen U, Alexander J, Aaseth JO, Larsson A, Svensson E, Opstad TB. Effects of an Intervention with Selenium and Coenzyme Q 10 on Five Selected Age-Related Biomarkers in Elderly Swedes Low in Selenium: Results That Point to an Anti-Ageing Effect-A Sub-Analysis of a Previous Prospective Double-Blind Placebo-Controlled Randomised Clinical Trial. Cells 2023; 12:1773. [PMID: 37443807 PMCID: PMC10340529 DOI: 10.3390/cells12131773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 06/26/2023] [Accepted: 06/30/2023] [Indexed: 07/15/2023] Open
Abstract
Background: Ageing is associated with cardiovascular disease (CVD). As no single biomarker reflects the full ageing process, we aimed to investigate five CVD- and age-related markers and the effects of selenium and coenzyme Q10 intervention to elucidate the mechanisms that may influence the course of ageing. Methods: This is a sub-study of a previous prospective double-blind placebo-controlled randomized clinical trial that included 441 subjects low in selenium (mean age 77, 49% women). The active treatment group (n = 220) received 200 µg/day of selenium and 200 mg/day of coenzyme Q10, combined. Blood samples were collected at inclusion and after 48 months for measurements of the intercellular adhesion molecule (ICAM-1), adiponectin, leptin, stem cell factor (SCF) and osteoprotegerin (OPG), using ELISAs. Repeated measures of variance and ANCOVA evaluations were used to compare the two groups. In order to better understand and reduce the complexity of the relationship between the biomarkers and age, factor analyses and structural equation modelling (SEM) were performed, and a structural model is presented. Results: Correlation analyses of biomarker values at inclusion in relation to age, and relevant markers related to inflammation, endothelial dysfunction and fibrosis, demonstrated the biomarkers' association with these pathological processes; however, only ICAM1 and adiponectin were directly correlated with age. SEM analyses showed, however, that the biomarkers ICAM-1, adiponectin, SCF and OPG, but not leptin, all had significant associations with age and formed two independent structural factors, both significantly related to age. While no difference was observed at inclusion, the biomarkers were differently changed in the active treatment and placebo groups (decreasing and increasing levels, respectively) at 48 months (p ≤ 0.02 in all, adjusted), and in the SEM model, they showed an anti-ageing impact. Conclusions: Supplementation with selenium/Q10 influenced the analysed biomarkers in ways indicating an anti-ageing effect, and by applying SEM methodology, the interrelationships between two independent structural factors and age were validated.
Collapse
Affiliation(s)
- Urban Alehagen
- Division of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, 581 85 Linköping, Sweden
| | - Jan Alexander
- Norwegian Institute of Public Health, 0213 Oslo, Norway
| | - Jan O. Aaseth
- Department of Research, Innlandet Hospital Trust, 2382 Brumunddal, Norway
- Faculty of Health and Social Sciences, Inland Norway University of Applied Sciences, 2624 Lillehammer, Norway
| | - Anders Larsson
- Department of Medical Sciences, Uppsala University, 751 85 Uppsala, Sweden
| | - Erland Svensson
- Swedish Defence Research Agency, 164 40 Stockholm, Sweden (Ret.)
| | - Trine B. Opstad
- Centre for Clinical Heart Research, Department of Cardiology, Oslo University Hospital Ullevål, 0450 Oslo, Norway;
- Faculty of Medicine, University of Oslo, 0313 Oslo, Norway
| |
Collapse
|
12
|
Behr LC, Simm A, Kluttig A, Grosskopf Großkopf A. 60 years of healthy aging: On definitions, biomarkers, scores and challenges. Ageing Res Rev 2023; 88:101934. [PMID: 37059401 DOI: 10.1016/j.arr.2023.101934] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 03/26/2023] [Accepted: 04/12/2023] [Indexed: 04/16/2023]
Abstract
BACKGROUND AND OBJECTIVE As the proportion of aging people in our population increases steadily, global strategies accompanied by extensive research are necessary to tackle society and health service challenges. The World Health Organization recently published an action plan: "Decade of healthy aging 2020-2030", which calls for concerted collaboration to prevent poverty of older people to provide quality education, job opportunities, and an age-inclusive infrastructure. However, scientists worldwide still struggle to find definitions and appropriate measurements of aging per se and healthy aging in particular. This literature review aims to compile concepts of healthy aging and provide a condensed overview of the challenges in defining and measuring it, along with suggestions for further research. MATERIALS AND METHODS We conducted three independent systematic literature searches covering the main scopes addressed in this review: (1) concepts and definitions of healthy aging, (2) outcomes and measures in (healthy) aging studies and (3) scores and indices of healthy aging. For each scope, the retrieved literature body was screened and subsequently synthesized. RESULTS We provide a historical overview of the concepts of healthy aging over the past 60 years. Furthermore, we identifiy current difficulties in identifying healthy agers, including dichotomous measurements, illness-centered views, study populations & designs. Secondly, markers and measures of healthy aging are discussed, including points to consider, like plausibility, consistency, and robustness. Finally, we present healthy aging scores as measurements, which combine multiple aspects to avoid a dichotomous categorization and display the bio-psycho-social concept of healthy aging. DISCUSSION AND CONCLUSION When deducting research, scientists need to consider the diverse challenges in defining and measuring healthy aging. Considering that, we recommend scores that combine multiple aspects of healthy aging, such as the Healthy Ageing Index or the ATHLOS score, among others. Further efforts are to be made on a harmonized definition of healthy aging and validated measuring instruments that are modular, easy to apply and provide comparable results in different studies and cohorts to enhance the generalization of results.
Collapse
Affiliation(s)
- Luise Charlotte Behr
- University Clinic and Outpatient Clinic for Cardiac Surgery, Medical Faculty of the Martin Luther University Halle-Wittenberg, University Medicine Halle, Halle (Saale), Germany; Institute of Medical Epidemiology, Biostatistics, and Informatics, Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Andreas Simm
- University Clinic and Outpatient Clinic for Cardiac Surgery, Medical Faculty of the Martin Luther University Halle-Wittenberg, University Medicine Halle, Halle (Saale), Germany
| | - Alexander Kluttig
- Institute of Medical Epidemiology, Biostatistics, and Informatics, Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Anne Grosskopf Großkopf
- University Clinic and Outpatient Clinic for Cardiac Surgery, Medical Faculty of the Martin Luther University Halle-Wittenberg, University Medicine Halle, Halle (Saale), Germany.
| |
Collapse
|
13
|
Bonzini M, Comotti A, Fattori A, Serra D, Laurino M, Mastorci F, Bufano P, Ciocan C, Ferrari L, Bollati V, Di Tecco C. Promoting health and productivity among ageing workers: a longitudinal study on work ability, biological and cognitive age in modern workplaces (PROAGEING study). BMC Public Health 2023; 23:1115. [PMID: 37308919 PMCID: PMC10258929 DOI: 10.1186/s12889-023-16010-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 05/29/2023] [Indexed: 06/14/2023] Open
Abstract
BACKGROUND Large changes in ageing population and in retirement age are increasing the number of older people in the workforce, raising many challenges for policymakers in promoting employment opportunities and health for older workers. In this respect, longitudinal assessments of workability, well-being perception and cognitive skills over time may allow to detect factors influencing workers' health. Moreover, new available molecular markers permit the measurement of biological age and age-related changes. Most studies analysed one aspect at time (psychological, biological, labour productivity), without considering their interaction. Aims of the study are to evaluate the relationship between workability, cognitive skills, and biological age in a population of ageing workers; to conduct a cross-sectional analysis to assess the impact of occupational exposures on workability, cognitive skills, and biological age; to evaluate inter-individuals changes in a prospective analysis with a re-evaluation of each worker. METHODS Our study plans to enrol 1000 full-time workers, aged over 50, undergoing the medical surveillance required by the current Italian Legislation. Data collection includes information about: (a) work ability and psychosocial risk factors (work ability index, HSE Management Standard-21 item, Utrecht Work Engagement Scale, World Health Organisation-Five, Well-Being Index, job satisfaction, general well-being, technostress); (b) cognitive skills (Stroop Color and Word test, Simon task, Corsi's block-tapping test, Digit span test); (c) sleep habits and psychological well-being (Pittsburgh Sleep Quality Index, Insomnia Severity Index, Ford Insomnia Response to Stress Test; Symptom Check List 90, Psychological Well-Being Index, Profile of Mood State, Beck Depression Inventory, Beck Anxiety Inventory, Perceived Stress Scale, Brief COPE); (d) biological age (telomere length, DNA methylation) for 500 workers. All workers will repeat the evaluation after one year. DISCUSSION This study aims to increase our knowledge about interactions between work ability, cognitive ability, well-being perception and psychological status also by including molecular markers, with a longitudinal and multidisciplinary approach. By bringing better insights into the relationship between risk factors and their impact on perceived and biological health, this study also aims at identifying possible interventions and protective measures to ensure aged workers' well-being, consistent with all the eminent calls for actions promoted by key International and European labour organizations.
Collapse
Affiliation(s)
- Matteo Bonzini
- Occupational Medicine Unit, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
- Department of Clinical Science and Community Health, University of Milan, Milan, Italy.
| | - Anna Comotti
- Occupational Medicine Unit, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Alice Fattori
- Occupational Medicine Unit, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Clinical Science and Community Health, University of Milan, Milan, Italy
| | - Daniele Serra
- School of Medicine, University of Milan, Milan, Italy
| | - Marco Laurino
- Institute of Clinical Physiology, National Research Council, Pisa, Italy
| | - Francesca Mastorci
- Institute of Clinical Physiology, National Research Council, Pisa, Italy
| | - Pasquale Bufano
- Institute of Clinical Physiology, National Research Council, Pisa, Italy
| | - Catalina Ciocan
- Department of Public Health and Pediatrics, University of Turin, Turin, Italy
| | - Luca Ferrari
- Department of Clinical Science and Community Health, University of Milan, Milan, Italy
| | - Valentina Bollati
- Department of Clinical Science and Community Health, University of Milan, Milan, Italy
| | - Cristina Di Tecco
- Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, Italian Workers' Compensation Authority (INAIL), Rome, Italy
| |
Collapse
|
14
|
Giacconi R, Piacenza F, Aversano V, Zampieri M, Bürkle A, Villanueva MM, Dollé MET, Jansen E, Grune T, Gonos ES, Franceschi C, Capri M, Weinberger B, Sikora E, Toussaint O, Debacq-Chainiaux F, Stuetz W, Slagboom PE, Bernhardt J, Fernández-Sánchez ML, Provinciali M, Malavolta M. Uncovering the Relationship between Selenium Status, Age, Health, and Dietary Habits: Insights from a Large Population Study including Nonagenarian Offspring from the MARK-AGE Project. Nutrients 2023; 15:2182. [PMID: 37432362 PMCID: PMC10180750 DOI: 10.3390/nu15092182] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 04/14/2023] [Accepted: 04/16/2023] [Indexed: 07/12/2023] Open
Abstract
An inadequate selenium (Se) status can accelerate the aging process, increasing the vulnerability to age-related diseases. The study aimed to investigate plasma Se and Se species in a large population, including 2200 older adults from the general population (RASIG), 514 nonagenarian offspring (GO), and 293 GO Spouses (SGO). Plasma Se levels in women exhibit an inverted U-shaped pattern, increasing with age until the post-menopausal period and then declining. Conversely, men exhibit a linear decline in plasma Se levels with age. Subjects from Finland had the highest plasma Se values, while those from Poland had the lowest ones. Plasma Se was influenced by fish and vitamin consumption, but there were no significant differences between RASIG, GO, and SGO. Plasma Se was positively associated with albumin, HDL, total cholesterol, fibrinogen, and triglycerides and negatively associated with homocysteine. Fractionation analysis showed that Se distribution among plasma selenoproteins is affected by age, glucometabolic and inflammatory factors, and being GO or SGO. These findings show that sex-specific, nutritional, and inflammatory factors play a crucial role in the regulation of Se plasma levels throughout the aging process and that the shared environment of GO and SGO plays a role in their distinctive Se fractionation.
Collapse
Affiliation(s)
- Robertina Giacconi
- Advanced Technology Center for Aging Research, IRCCS INRCA, 60121 Ancona, Italy
| | - Francesco Piacenza
- Advanced Technology Center for Aging Research, IRCCS INRCA, 60121 Ancona, Italy
| | - Valentina Aversano
- Department of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy
| | - Michele Zampieri
- Department of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy
| | - Alexander Bürkle
- Molecular Toxicology Group, Department of Biology, University of Konstanz, P.O. Box 628, 78457 Konstanz, Germany
| | - María Moreno Villanueva
- Molecular Toxicology Group, Department of Biology, University of Konstanz, P.O. Box 628, 78457 Konstanz, Germany
- Human Performance Research Centre, Department of Sport Science, Universityof Konstanz, P.O. Box 30, 78457 Konstanz, Germany
| | - Martijn E. T. Dollé
- Centre for Health Protection, National Institute for Public Health and the Environment, P.O. Box 1, 3720 BA Bilthoven, The Netherlands
| | - Eugène Jansen
- Centre for Health Protection, National Institute for Public Health and the Environment, P.O. Box 1, 3720 BA Bilthoven, The Netherlands
| | - Tilman Grune
- Department of Molecular Toxicology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), 14558 Nuthetal, Germany
- NutriAct-Competence Cluster Nutrition Research Berlin-Potsdam, 14458 Nuthetal, Germany
| | - Efstathios S. Gonos
- National Hellenic Research Foundation, Institute of Biology, Medicinal Chemistry and Biotechnology, 11635 Athens, Greece
| | - Claudio Franceschi
- Department of Medical and Surgical Sciences, University of Bologna, 40126 Bologna, Italy
- Laboratory of Systems Medicine of Healthy Aging, Institute of Biology and Biomedicine and Institute of Information Technology, Mathematics and Mechanics, Department of Applied Mathematics, Lobachevsky State University, 603105 Nizhny Novgorod, Russia
| | - Miriam Capri
- Department of Medical and Surgical Sciences, University of Bologna, 40126 Bologna, Italy
- Interdepartmental Center—Alma Mater Research Institute on Global Challenges and Climate Change, University of Bologna, 40126 Bologna, Italy
| | - Birgit Weinberger
- Institute for Biomedical Aging Research, Universität Innsbruck, 6020 Innsbruck, Austria
| | - Ewa Sikora
- Laboratory of the Molecular Bases of Ageing, Nencki Institute of Experimental Biology, Polish Academy of Sciences, 3 Pasteur Street, 02-093 Warsaw, Poland
| | - Olivier Toussaint
- URBC-NARILIS, University of Namur, Rue de Bruxelles, 61, 5000 Namur, Belgium
| | | | - Wolfgang Stuetz
- Institute of Nutritional Sciences, Department of Food Biofunctionality, University of Hohenheim, 70593 Stuttgart, Germany
| | | | | | - Maria Luisa Fernández-Sánchez
- Department of Physical and Analytical Chemistry, Faculty of Chemistry, University of Oviedo, Julian Clavería, 8, 33006 Oviedo, Spain
| | - Mauro Provinciali
- Advanced Technology Center for Aging Research, IRCCS INRCA, 60121 Ancona, Italy
| | - Marco Malavolta
- Advanced Technology Center for Aging Research, IRCCS INRCA, 60121 Ancona, Italy
| |
Collapse
|
15
|
do Nascimento LM, da Cruz TGC, Silva JFDLE, Silva LP, Inácio BB, Sadamitsu CMO, Scheicher ME. Use of Intrinsic Capacity Domains as a Screening Tool in Public Health. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:4227. [PMID: 36901237 PMCID: PMC10002144 DOI: 10.3390/ijerph20054227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 02/16/2023] [Accepted: 02/20/2023] [Indexed: 06/18/2023]
Abstract
The World Health Organization (WHO) created the concept of Integrated Care for Older People and one of its constructs is intrinsic capacity (IC). The study aimed to carry out a screening with the tools designated by the WHO to assess the IC domains and whether they can be used as indicators for decision-making on integrated care for older people based on risk categorization. The interaction between the risk category and the domain scores was verified. One hundred and sixty three (163) community-dwelling older people of both genders were evaluated. Domains assessed: cognitive, psychological, vitality, locomotion, and sensory. Scores indicating a low, moderate and high risk were assigned to each domain. For all domains, there were individuals in all risk groups. Effect of risk on the domains: cognitive [χ2(2) = 134.042; p < 0.001], psychological [χ2(2) = 92.865; p < 0.001], vitality [χ2(2) = 129.564; p < 0.001], locomotion [χ2(2) = 144.101; p < 0.001], and sensory [χ2(2) = 129.037; p < 0.001]. Scores of the CI domains were affected by the risk category. There were individuals in all risk groups, demonstrating the importance of screening as a public health strategy, making it possible to know which risk category each elderly person belongs to and thus develop strategies in the short-, medium- and long-term.
Collapse
Affiliation(s)
- Livia Maria do Nascimento
- Graduate Program in Human Development and Technologies, Institute of Biosciences, Paulista State University—UNESP, Rio Claro 13506-900, SP, Brazil
| | - Thainá Gabriele Camargo da Cruz
- Graduate Program in Human Development and Technologies, Institute of Biosciences, Paulista State University—UNESP, Rio Claro 13506-900, SP, Brazil
| | | | - Letícia Prado Silva
- Department of Physical Therapy and Occupational Therapy, Paulista State University—UNESP, Marília1 7525-900, SP, Brazil
| | - Beatriz Bigatão Inácio
- Department of Physical Therapy and Occupational Therapy, Paulista State University—UNESP, Marília1 7525-900, SP, Brazil
| | - Carolina Masumi Oki Sadamitsu
- Department of Physical Therapy and Occupational Therapy, Paulista State University—UNESP, Marília1 7525-900, SP, Brazil
| | - Marcos Eduardo Scheicher
- Graduate Program in Human Development and Technologies, Institute of Biosciences, Paulista State University—UNESP, Rio Claro 13506-900, SP, Brazil
- Department of Physical Therapy and Occupational Therapy, Paulista State University—UNESP, Marília1 7525-900, SP, Brazil
| |
Collapse
|
16
|
Hurvitz N, Elkhateeb N, Sigawi T, Rinsky-Halivni L, Ilan Y. Improving the effectiveness of anti-aging modalities by using the constrained disorder principle-based management algorithms. FRONTIERS IN AGING 2022; 3:1044038. [PMID: 36589143 PMCID: PMC9795077 DOI: 10.3389/fragi.2022.1044038] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 11/22/2022] [Indexed: 12/15/2022]
Abstract
Aging is a complex biological process with multifactorial nature underlined by genetic, environmental, and social factors. In the present paper, we review several mechanisms of aging and the pre-clinically and clinically studied anti-aging therapies. Variability characterizes biological processes from the genome to cellular organelles, biochemical processes, and whole organs' function. Aging is associated with alterations in the degrees of variability and complexity of systems. The constrained disorder principle defines living organisms based on their inherent disorder within arbitrary boundaries and defines aging as having a lower variability or moving outside the boundaries of variability. We focus on associations between variability and hallmarks of aging and discuss the roles of disorder and variability of systems in the pathogenesis of aging. The paper presents the concept of implementing the constrained disease principle-based second-generation artificial intelligence systems for improving anti-aging modalities. The platform uses constrained noise to enhance systems' efficiency and slow the aging process. Described is the potential use of second-generation artificial intelligence systems in patients with chronic disease and its implications for the aged population.
Collapse
Affiliation(s)
- Noa Hurvitz
- Faculty of Medicine, Hebrew University and Department of Medicine, Hadassah Medical Center, Jerusalem, Israel
| | - Narmine Elkhateeb
- Faculty of Medicine, Hebrew University and Department of Medicine, Hadassah Medical Center, Jerusalem, Israel
| | - Tal Sigawi
- Faculty of Medicine, Hebrew University and Department of Medicine, Hadassah Medical Center, Jerusalem, Israel
| | - Lilah Rinsky-Halivni
- Braun School of Public Health, Hebrew University of Jerusalem, Jerusalem, Israel,Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Yaron Ilan
- Faculty of Medicine, Hebrew University and Department of Medicine, Hadassah Medical Center, Jerusalem, Israel,*Correspondence: Yaron Ilan,
| |
Collapse
|
17
|
Stover PJ, Field MS, Brawley HN, Angelin B, Iversen PO, Frühbeck G. Nutrition and stem cell integrity in aging. J Intern Med 2022; 292:587-603. [PMID: 35633146 DOI: 10.1111/joim.13507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Adult stem cells (SCs) represent the regenerative capacity of organisms throughout their lifespan. The maintenance of robust SC populations capable of renewing organs and physiological systems is one hallmark of healthy aging. The local environment of SCs, referred to as the niche, includes the nutritional milieu, which is essential to maintain the quantity and quality of SCs available for renewal and regeneration. There is increased recognition that SCs have unique metabolism and conditional nutrient needs compared to fully differentiated cells. However, the contribution of SC nutrition to overall human nutritional requirements is an understudied and underappreciated area of investigation. Nutrient needs vary across the lifespan and are modified by many factors including individual health, disease, physiological states including pregnancy, age, sex, and during recovery from injury. Although current nutrition guidance is generally derived for apparently healthy populations and to prevent nutritional deficiency diseases, there are increased efforts to establish nutrient-based and food-based recommendations based on reducing chronic disease. Understanding the dynamics of SC nutritional needs throughout the life span, including the role of nutrition in extending biological age by blunting biological systems decay, is fundamental to establishing food and nutrient guidance for chronic disease reduction and health maintenance. This review summarizes a 3-day symposium of the Marabou Foundation (www.marabousymposium.org) held to examine the metabolic properties and unique nutritional needs of adult SCs and their role in healthy aging and age-related chronic disease.
Collapse
Affiliation(s)
- P J Stover
- Texas A&M AgriLife Institute for Advancing Health through Agriculture, Texas A&M University, College Station, Texas, USA
| | - M S Field
- Division of Nutritional Sciences, Cornell University, Ithaca, New York, USA
| | - H N Brawley
- Texas A&M AgriLife Institute for Advancing Health through Agriculture, Texas A&M University, College Station, Texas, USA
| | - B Angelin
- Cardiometabolic Unit, Clinical Department of Endocrinology, and Department of Medicine, Karolinska Institutet at Karolinska University Hospital Huddinge, Stockholm, Stockholm, Sweden
| | - P O Iversen
- Department of Nutrition, University of Oslo, Oslo, Norway
| | - G Frühbeck
- Department of Endocrinology & Nutrition, Clínica Universidad de Navarra, CIBEROBN, IdiSNA, Pamplona, Navarra, Spain
| |
Collapse
|
18
|
Chronological Age Estimation of Male Occipital Bone Based on FTIR and Raman Microspectroscopy. Bioinorg Chem Appl 2022; 2022:1729131. [PMID: 36065391 PMCID: PMC9440630 DOI: 10.1155/2022/1729131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 07/29/2022] [Indexed: 12/01/2022] Open
Abstract
Age-related changes in bone tissue have always been an important part of bone research, and age estimation is also of great significance in forensic work. In our study, FTIR and Raman microspectroscopy were combined to explore the structural and chronological age-related changes in the occipital bones of 40 male donors. The FTIR micro-ATR mode not only achieves the comparison of FTIR and Raman efficiency but also provides a new pattern for the joint detection of FTIR and Raman in hard tissue. Statistical analysis and PCA results revealed that the structure had little effect on the FTIR and Raman results. The FTIR and Raman mineral/matrix ratio, carbonate/phosphate ratio, crystallinity, and collagen maturity of the whole showed an increasing trend during maturation, and a significant correlation was found between FTIR and Raman by comparing four outcomes. Furthermore, the results indicated that the cutoff point of the change in the relative proportion of organic matrix and inorganic minerals in males was between 19 and 35 years old, and the changes in the relative proportion of organic matrix and inorganic minerals may play a key role in age estimation. Ultimately, we established age estimation regression models. The FTIR GA-PLS regression model has the best performance and is more suitable for our experiment (RMSECV = 10.405, RMSEP = 9.2654, R2CV = 0.814, and R2Pred = 0.828). Overall, FTIR and Raman combined with chemometrics are an ideal method to estimate chronological age based on age-dependent component changes in male occipital bones. Our experiment provides a proof of concept and potential experimental method for chronological age estimation.
Collapse
|
19
|
Association between fat-soluble vitamins and self-reported health status: a cross-sectional analysis of the MARK-AGE cohort. Br J Nutr 2022; 128:433-443. [PMID: 34794520 PMCID: PMC9340855 DOI: 10.1017/s0007114521004633] [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] [Indexed: 12/24/2022]
Abstract
Self-rated health (SRH) is associated with higher risk of death. Since low plasma levels of fat-soluble vitamins are related to mortality, we aimed to assess whether plasma concentrations of vitamins A, D and E were associated with SRH in the MARK-AGE study. We included 3158 participants (52 % female) aged between 35 and 75 years. Cross-sectional data were collected via questionnaires. An enzyme immunoassay quantified 25-hydroxyvitamin D and HPLC determined α-tocopherol and retinol plasma concentrations. The median 25-hydroxyvitamin D and retinol concentrations differed significantly (P < 0·001) between SRH categories and were lower in the combined fair/poor category v. the excellent, very good and good categories (25-hydroxvitamin D: 40·8 v. 51·9, 49·3, 46·7 nmol/l, respectively; retinol: 1·67 v. 1·75, 1·74, 1·70 µmol/l, respectively). Both vitamin D and retinol status were independently associated with fair/poor SRH in multiple regression analyses: adjusted OR (95 % CI) for the vitamin D insufficiency, deficiency and severe deficiency categories were 1·33 (1·06-1·68), 1·50 (1·17-1·93) and 1·83 (1·34-2·50), respectively; P = 0·015, P = 0·001 and P < 0·001, and for the second/third/fourth retinol quartiles: 1·44 (1·18-1·75), 1·57 (1·28-1·93) and 1·49 (1·20-1·84); all P < 0·001. No significant associations were reported for α-tocopherol quartiles. Lower vitamin A and D status emerged as independent markers for fair/poor SRH. Further insights into the long-term implications of these modifiable nutrients on health status are warranted.
Collapse
|
20
|
Douzi W, Bon D, Suikkanen S, Soukkio P, Boildieu N, Nenonen A, Hupli M, Kukkonen-Harjula K, Dugué B. 1H NMR Urinary Metabolomic Analysis in Older Adults after Hip Fracture Surgery May Provide Valuable Information for Patient Profiling-A Preliminary Investigation. Metabolites 2022; 12:metabo12080744. [PMID: 36005617 PMCID: PMC9415398 DOI: 10.3390/metabo12080744] [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: 06/24/2022] [Revised: 07/30/2022] [Accepted: 08/02/2022] [Indexed: 11/16/2022] Open
Abstract
In these times of precision and personalized medicine, profiling patients to identify their needs is crucial to providing the best and most cost-effective treatment. In this study, we used urine metabolomics to explore the characterization of older adults with hip fractures and to explore the forecasting of patient outcomes. Overnight urine specimens were collected from 33 patients (mean age 80 ± 8 years) after hip fracture surgery during their stay at a rehabilitation hospital. The specimens were analyzed with 1H NMR spectroscopy. We performed a metabolomics study regarding assessments of frailty status, Functional Independence Measure (FIM), and Short Physical Performance Battery (SPPB). The main metabolic variations concerned 10 identified metabolites: paracetamol derivatives (4 peaks: 2.15 ppm; 2.16 ppm; 7.13 ppm and 7.15 ppm); hippuric acid; acetate; acetone; dimethylamine; glycine; alanine; lactate; valine; TMAO. At baseline, the urinary levels of these metabolites were significantly higher (i) in frail compared with non-frail patients, (ii) in persons with poorer FIM scores, and (iii) in persons with poorer compared SPPB scores. Our findings suggested that patients with increased levels of urine metabolites associated with metabolic, inflammatory, and renal disorders presented clear signs of frailty, impaired functional independence, and poor physical performance. Metabolomics could be a valuable tool to further characterize older adults, especially after major medical events.
Collapse
Affiliation(s)
- Wafa Douzi
- Laboratoire «Mobilité, Vieillissement, Exercice (MOVE)—UR 20296», Faculté des Sciences du Sport, Université de Poitiers, 8 Allée Jean Monnet, 86000 Poitiers, France
| | - Delphine Bon
- INSERM U1313, (IRMETIST), Poitiers, France and Faculty of Medicine and Pharmacy, University of Poitiers, 86000 Poitiers, France
| | - Sara Suikkanen
- Faculty of Sport and Health Sciences, University of Jyväskylä, 40014 Jyväskylä, Finland
- Faculty of Social Services and Health Care, LAB University of Applied Sciences, 53130 Lappeenranta, Finland
| | - Paula Soukkio
- Rehabilitation and Laboratory Center, South Karelia Social and Health Care District (Eksote), Valto Käkelän katu 3, 53130 Lappeenranta, Finland
| | - Nadège Boildieu
- INSERM U1313, (IRMETIST), Poitiers, France and Faculty of Medicine and Pharmacy, University of Poitiers, 86000 Poitiers, France
| | - Arja Nenonen
- Rehabilitation and Laboratory Center, South Karelia Social and Health Care District (Eksote), Valto Käkelän katu 3, 53130 Lappeenranta, Finland
| | - Markku Hupli
- Rehabilitation and Laboratory Center, South Karelia Social and Health Care District (Eksote), Valto Käkelän katu 3, 53130 Lappeenranta, Finland
| | - Katriina Kukkonen-Harjula
- Rehabilitation and Laboratory Center, South Karelia Social and Health Care District (Eksote), Valto Käkelän katu 3, 53130 Lappeenranta, Finland
| | - Benoit Dugué
- Laboratoire «Mobilité, Vieillissement, Exercice (MOVE)—UR 20296», Faculté des Sciences du Sport, Université de Poitiers, 8 Allée Jean Monnet, 86000 Poitiers, France
- Correspondence: ; Tel.: +33-549-454-040; Fax: +33-549-453-396
| |
Collapse
|
21
|
Wu L, Wang D, Chen Y, Qian M, Xu X, Zhang T, Bi N, Wang L. Dynamic change of IDO1 activity predicts survival in patients with unresectable stage III NSCLC and chemoradiotherapy. Front Immunol 2022; 13:906815. [PMID: 36032151 PMCID: PMC9399602 DOI: 10.3389/fimmu.2022.906815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 07/05/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectiveHigh activity of Indoleamine 2,3-dioxygenase1 (IDO1) in lung cancer patients converts tryptophan (Trp), which is the essential amino acid for T-cell metabolism, to kynurenine (Kyn) and consequently suppresses anti-tumor immune responses. We aimed to track the dynamics of IDO1 activity in stage III non-small cell lung cancer (NSCLC) patients who received first-line radiotherapy (RT) and explore its association with survival outcomes.Materials and methodsSystemic IDO1 activity was calculated by Kyn : Trp ratio. Plasma levels of Kyn and Trp in 113 thoracic RT-received stage III NSCLC patients were measured by high-performance liquid chromatography before the initiation of RT. The dynamic change of IDO1 activity was followed in 24 patients by measuring the Kyn : Trp ratio before, during, and after RT administration.ResultsIn 24 patients with dynamic tracking of plasma IDO1 activity, there were no significant alterations observed among the three time points (Friedman test, p = 0.13). The changing pattern of the Kyn : Trp ratio was divided into four groups: decreased consistently during RT, first increased, then decreased, increased consistently, first decreased then increased. Patients whose Kyn : Trp ratio kept decreasing or first increased then decreased were defined as the good-change group. The good-change status was identified as an independent positive factor for overall survival (OS) and progression-free survival (PFS) (p = 0.04; p = 0.01) in multivariate analysis among evaluated parameters. Patients with good change showed significantly superior local control than the bad-change group (p = 0.01, HR = 0.22). In 113 stage III NSCLC patients with pre-radiation Kyn : Trp ratio, a trend that high baseline IDO1 activity was associated with short OS was observed (p = 0.079).ConclusionFavorable change in IDO1 activity during RT was associated with superior OS, PFS, and local control. IDO1 activity is a promising biomarker for prognosis in stage III NSCLC patients.
Collapse
Affiliation(s)
- Linfang Wu
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Daquan Wang
- Department of radiation Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yanhua Chen
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), National Ethnic Affairs Commission, Beijing, China
| | - Mingmin Qian
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics (Minzu University of China), National Ethnic Affairs Commission, Beijing, China
| | - Xin Xu
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Tao Zhang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Nan Bi
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- *Correspondence: Nan Bi, ; Luhua Wang,
| | - Luhua Wang
- Department of radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China
- *Correspondence: Nan Bi, ; Luhua Wang,
| |
Collapse
|
22
|
Giacconi R, D’Aquila P, Malavolta M, Piacenza F, Bürkle A, Villanueva MM, Dollé MET, Jansen E, Grune T, Gonos ES, Franceschi C, Capri M, Gradinaru D, Grubeck-Loebenstein B, Sikora E, Stuetz W, Weber D, Toussaint O, Debacq-Chainiaux F, Hervonen A, Hurme M, Slagboom PE, Schön C, Bernhardt J, Breusing N, Duncan T, Passarino G, Bellizzi D, Provinciali M. Bacterial DNAemia in Older Participants and Nonagenarian Offspring and Association With Redox Biomarkers: Results From MARK-AGE Study. J Gerontol A Biol Sci Med Sci 2022; 78:42-50. [PMID: 35914804 PMCID: PMC9879758 DOI: 10.1093/gerona/glac154] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Indexed: 02/02/2023] Open
Abstract
Aging and age-related diseases have been linked to microbial dysbiosis with changes in blood bacterial DNA concentration. This condition may promote chronic low-grade inflammation, which can be further aggravated by antioxidant nutrient deficiency. Low plasma carotenoids are associated with an increased risk of inflammation and cellular damage and predict mortality. However, no evidence is yet available on the relationship between antioxidants and the blood bacterial DNA (BB-DNA). Therefore, this study aimed to compare BB-DNA from (a) GO (nonagenarian offspring), (b) age-matched controls (Randomly recruited Age-Stratified Individuals from the General population [RASIG]), and (c) spouses of GO (SGO) recruited in the MARK-AGE project, as well as to investigate the association between BB-DNA, behavior habits, Charlson Comorbidity Index (CCI), leucocyte subsets, and the circulating levels of some antioxidants and oxidative stress markers. BB-DNA was higher in RASIG than GO and SGO, whereas GO and SGO participants showed similar values. BB-DNA increased in smokers and males with CCI ≥ 2 compared with those with CCI ≤ 1 within RASIG. Moreover, BB-DNA was positively associated with lymphocyte, neutrophil, and monocyte counts, but not with self-reported dietary habits. Higher quartiles of BB-DNA were associated with low lutein and zeaxanthin and elevated malondialdehyde plasma concentrations in RASIG. BB-DNA was also positively correlated with nitric oxide levels. Herein, we provide evidence of a reduced BB-DNA in individuals from long-living families and their spouses, suggesting a decreased microbial dysbiosis and bacterial systemic translocation. BB-DNA was also associated with smoking, CCI, leukocyte subsets, and some redox biomarkers in older participants.
Collapse
Affiliation(s)
- Robertina Giacconi
- Address correspondence to: Robertina Giacconi, Advanced Technology Center for Aging Research, IRCCS INRCA, via birarelli 8 Ancona, 60121 Ancona, Italy. E-mail:
| | | | - Marco Malavolta
- Advanced Technology Center for Aging Research, IRCCS INRCA, Ancona, Italy
| | - Francesco Piacenza
- Advanced Technology Center for Aging Research, IRCCS INRCA, Ancona, Italy
| | - Alexander Bürkle
- Molecular Toxicology Group, Department of Biology, University of Konstanz, Konstanz, Germany
| | - María Moreno Villanueva
- Molecular Toxicology Group, Department of Biology, University of Konstanz, Konstanz, Germany,Human Performance Research Centre, Department of Sport Science, University of Konstanz, Konstanz, Germany
| | - Martijn E T Dollé
- Centre for Health Protection, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Eugène Jansen
- Centre for Health Protection, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Tilman Grune
- Department of Molecular Toxicology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany,University of Potsdam, Institute of Nutritional Science, Nuthetal, Germany,Department of Physiological Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
| | - Efstathios S Gonos
- National Hellenic Research Foundation, Institute of Biology, Medicinal Chemistry and Biotechnology, Athens, Greece
| | - Claudio Franceschi
- Department of Experimental, Diagnostic and Specialty Medicine, Alma Mater Studiorum, University of Bologna, Bologna, Italy,Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky University, Nizhniy Novgorod, Russia
| | - Miriam Capri
- Department of Experimental, Diagnostic and Specialty Medicine, Alma Mater Studiorum, University of Bologna, Bologna, Italy,Interdepartmental Center—Alma Mater Research Institute on Global Challenges and Climate Change, University of Bologna, Bologna, Italy
| | - Daniela Gradinaru
- Ana Aslan National Institute of Gerontology and Geriatrics, Bucharest, Romania,Faculty of Pharmacy, Department of Biochemistry, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | | | - Ewa Sikora
- Laboratory of the Molecular Bases of Ageing, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland
| | - Wolfgang Stuetz
- Institute of Nutritional Sciences, Department of Food Biofunctionality, University of Hohenheim, Stuttgart, Germany
| | - Daniela Weber
- Department of Molecular Toxicology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany,University of Potsdam, Institute of Nutritional Science, Nuthetal, Germany
| | | | | | - Antti Hervonen
- The Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Mikko Hurme
- The Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - P Eline Slagboom
- Department of Molecular Epidemiology, Leiden University Medical Centre, Leiden, The Netherlands
| | | | | | - Nicolle Breusing
- Department of Applied Nutritional Science/Dietetics, Institute of Nutritional Medicine, University of Hohenheim, Stuttgart, Germany
| | | | - Giuseppe Passarino
- Department of Biology, Ecology and Earth Sciences (DIBEST), University of Calabria, Rende, Italy
| | - Dina Bellizzi
- Department of Biology, Ecology and Earth Sciences (DIBEST), University of Calabria, Rende, Italy
| | | |
Collapse
|
23
|
Kananen L, Hurme M, Bürkle A, Moreno-Villanueva M, Bernhardt J, Debacq-Chainiaux F, Grubeck-Loebenstein B, Malavolta M, Basso A, Piacenza F, Collino S, Gonos ES, Sikora E, Gradinaru D, Jansen EHJM, Dollé MET, Salmon M, Stuetz W, Weber D, Grune T, Breusing N, Simm A, Capri M, Franceschi C, Slagboom E, Talbot D, Libert C, Raitanen J, Koskinen S, Härkänen T, Stenholm S, Ala-Korpela M, Lehtimäki T, Raitakari OT, Ukkola O, Kähönen M, Jylhä M, Jylhävä J. Circulating cell-free DNA in health and disease - the relationship to health behaviours, ageing phenotypes and metabolomics. GeroScience 2022; 45:85-103. [PMID: 35864375 PMCID: PMC9886738 DOI: 10.1007/s11357-022-00590-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 05/06/2022] [Indexed: 02/03/2023] Open
Abstract
Circulating cell-free DNA (cf-DNA) has emerged as a promising biomarker of ageing, tissue damage and cellular stress. However, less is known about health behaviours, ageing phenotypes and metabolic processes that lead to elevated cf-DNA levels. We sought to analyse the relationship of circulating cf-DNA level to age, sex, smoking, physical activity, vegetable consumption, ageing phenotypes (physical functioning, the number of diseases, frailty) and an extensive panel of biomarkers including blood and urine metabolites and inflammatory markers in three human cohorts (N = 5385; 17-82 years). The relationships were assessed using correlation statistics, and linear and penalised regressions (the Lasso), also stratified by sex.cf-DNA levels were significantly higher in men than in women, and especially in middle-aged men and women who smoke, and in older more frail individuals. Correlation statistics of biomarker data showed that cf-DNA level was higher with elevated inflammation (C-reactive protein, interleukin-6), and higher levels of homocysteine, and proportion of red blood cells and lower levels of ascorbic acid. Inflammation (C-reactive protein, glycoprotein acetylation), amino acids (isoleucine, leucine, tyrosine), and ketogenesis (3-hydroxybutyrate) were included in the cf-DNA level-related biomarker profiles in at least two of the cohorts.In conclusion, circulating cf-DNA level is different by sex, and related to health behaviour, health decline and metabolic processes common in health and disease. These results can inform future studies where epidemiological and biological pathways of cf-DNA are to be analysed in details, and for studies evaluating cf-DNA as a potential clinical marker.
Collapse
Affiliation(s)
- Laura Kananen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. .,Faculty of Social Sciences (Health Sciences), and Gerontology Research Center, Tampere University, Tampere, Finland. .,Faculty of Medicine and Health Technology, and Gerontology Research Center, Tampere University, Tampere, Finland.
| | - Mikko Hurme
- grid.502801.e0000 0001 2314 6254Faculty of Medicine and Health Technology, and Gerontology Research Center, Tampere University, Tampere, Finland
| | - Alexander Bürkle
- grid.9811.10000 0001 0658 7699Molecular Toxicology Group, University of Konstanz, Konstanz, Germany
| | - Maria Moreno-Villanueva
- grid.9811.10000 0001 0658 7699Molecular Toxicology Group, University of Konstanz, Konstanz, Germany
| | | | - Florence Debacq-Chainiaux
- grid.6520.10000 0001 2242 8479URBC-Narilis, University of Namur, Rue de Bruxelles, 61, B-5000 Namur, Belgium
| | - Beatrix Grubeck-Loebenstein
- grid.5771.40000 0001 2151 8122Research Institute for Biomedical Aging Research, University of Innsbruck, Rennweg, 10, 6020 Innsbruck, Austria
| | - Marco Malavolta
- Advanced Technology Center for Aging Research, Scientific Technological Area, IRCCS INRCA, Ancona, Italy
| | - Andrea Basso
- Advanced Technology Center for Aging Research, Scientific Technological Area, IRCCS INRCA, Ancona, Italy
| | - Francesco Piacenza
- Advanced Technology Center for Aging Research, Scientific Technological Area, IRCCS INRCA, Ancona, Italy
| | - Sebastiano Collino
- grid.5333.60000000121839049Nestlé Research, Nestlé Institute of Health Sciences, EPFL Innovation Park, 1015 Lausanne, Switzerland
| | - Efstathios S. Gonos
- grid.22459.380000 0001 2232 6894Institute of Biology, Medicinal Chemistry and Biotechnology, National Hellenic Research Foundation, Athens, Greece
| | - Ewa Sikora
- grid.419305.a0000 0001 1943 2944Laboratory of the Molecular Bases of Ageing, Nencki Institute of Experimental Biology, Polish Academy of Sciences, 3 Pasteur street, 02-093 Warsaw, Poland
| | - Daniela Gradinaru
- grid.8194.40000 0000 9828 7548Department of Biochemistry, Faculty of Pharmacy, “Carol Davila” University of Medicine and Pharmacy, 020956 Bucharest, Romania
| | - Eugene H. J. M. Jansen
- grid.31147.300000 0001 2208 0118National Institute for Public Health and the Environment (RIVM), Centre for Health Protection, P.O. Box 1, 3720 BA Bilthoven, The Netherlands
| | - Martijn E. T. Dollé
- grid.31147.300000 0001 2208 0118National Institute for Public Health and the Environment (RIVM), Centre for Health Protection, P.O. Box 1, 3720 BA Bilthoven, The Netherlands
| | - Michel Salmon
- grid.425994.7Straticell, Science Park Crealys, Rue Jean Sonet 10, 5032 Les Isnes, Belgium
| | - Wolfgang Stuetz
- grid.9464.f0000 0001 2290 1502Institute of Nutritional Sciences (140), University of Hohenheim, 70593 Stuttgart, Germany
| | - Daniela Weber
- grid.418213.d0000 0004 0390 0098Department of Molecular Toxicology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany
| | - Tilman Grune
- grid.418213.d0000 0004 0390 0098Department of Molecular Toxicology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany ,grid.10420.370000 0001 2286 1424Department of Physiological Chemistry, Faculty of Chemistry, University of Vienna, 1090 Vienna, Austria ,grid.9464.f0000 0001 2290 1502Institute of Nutritional Medicine (180), University of Hohenheim, 70593 Stuttgart, Germany
| | - Nicolle Breusing
- grid.9464.f0000 0001 2290 1502Institute of Nutritional Medicine (180), University of Hohenheim, 70593 Stuttgart, Germany
| | - Andreas Simm
- grid.461820.90000 0004 0390 1701Department of Cardiothoracic Surgery, University Hospital Halle, Ernst-Grube Str. 40, 06120 Halle (Saale), Germany
| | - Miriam Capri
- grid.6292.f0000 0004 1757 1758DIMES- Department of Experimental, Diagnostic and Specialty Medicine,
Interdepartmental Center “Alma Mater Research Institute On Global Challenges and Climate Change (Alma Climate)”,
Alma Mater Studiorum, University of Bologna, 40126 Bologna, Italy
| | - Claudio Franceschi
- grid.6292.f0000 0004 1757 1758DIMES- Department of Experimental, Diagnostic and Specialty Medicine,
Interdepartmental Center “Alma Mater Research Institute On Global Challenges and Climate Change (Alma Climate)”,
Alma Mater Studiorum, University of Bologna, 40126 Bologna, Italy
| | - Eline Slagboom
- grid.10419.3d0000000089452978Section of Molecular Epidemiology, Leiden University Medical Centre, Leiden, The Netherlands
| | - Duncan Talbot
- Unilever Science and Technology, Beauty and Personal Care, Sharnbrook, UK
| | - Claude Libert
- grid.11486.3a0000000104788040Center for Inflammation Research, VIB, Ghent, Belgium ,grid.5342.00000 0001 2069 7798Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
| | - Jani Raitanen
- grid.502801.e0000 0001 2314 6254Faculty of Social Sciences (Health Sciences), and Gerontology Research Center, Tampere University, Tampere, Finland
| | - Seppo Koskinen
- grid.14758.3f0000 0001 1013 0499National Institute for Health and Welfare, Helsinki, Finland
| | - Tommi Härkänen
- grid.14758.3f0000 0001 1013 0499National Institute for Health and Welfare, Helsinki, Finland
| | - Sari Stenholm
- grid.1374.10000 0001 2097 1371Department of Public Health, University of Turku and Turku University Hospital, Turku, Finland ,grid.1374.10000 0001 2097 1371Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Mika Ala-Korpela
- grid.10858.340000 0001 0941 4873Computational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland ,grid.10858.340000 0001 0941 4873Center for Life Course Health Research, University of Oulu, Oulu, Finland ,grid.9668.10000 0001 0726 2490NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Terho Lehtimäki
- grid.502801.e0000 0001 2314 6254Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland ,grid.502801.e0000 0001 2314 6254Finnish Cardiovascular Research Center, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland ,grid.511163.10000 0004 0518 4910Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
| | - Olli T. Raitakari
- grid.1374.10000 0001 2097 1371Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland ,grid.1374.10000 0001 2097 1371Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland ,grid.410552.70000 0004 0628 215XDepartment of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Olavi Ukkola
- grid.10858.340000 0001 0941 4873Research Unit of Internal Medicine, Medical Research Center Oulu, Oulu University Hospital, University of Oulu, Oulu, Finland
| | - Mika Kähönen
- grid.502801.e0000 0001 2314 6254Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland ,grid.502801.e0000 0001 2314 6254Finnish Cardiovascular Research Center, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland ,grid.412330.70000 0004 0628 2985Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland
| | - Marja Jylhä
- grid.502801.e0000 0001 2314 6254Faculty of Social Sciences (Health Sciences), and Gerontology Research Center, Tampere University, Tampere, Finland
| | - Juulia Jylhävä
- grid.4714.60000 0004 1937 0626Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden ,grid.502801.e0000 0001 2314 6254Faculty of Social Sciences (Health Sciences), and Gerontology Research Center, Tampere University, Tampere, Finland
| |
Collapse
|
24
|
Morsiani C, Bacalini MG, Collura S, Moreno-Villanueva M, Breusing N, Bürkle A, Grune T, Franceschi C, De Eguileor M, Capri M. Blood circulating miR-28-5p and let-7d-5p associate with premature ageing in Down Syndrome. Mech Ageing Dev 2022; 206:111691. [PMID: 35780970 DOI: 10.1016/j.mad.2022.111691] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 06/01/2022] [Accepted: 06/22/2022] [Indexed: 12/27/2022]
Abstract
Persons with Down Syndrome (DS) undergo a premature ageing with early onset of age-related diseases. The main endpoint of this study was the identification of blood circulating microRNAs (c-miRs) signatures characterizing DS ageing process. A discovery phase based on array was performed in plasma samples obtained from 3 young (31±2 years-old) and 3 elderly DS persons (66±2 years-old). Then, a validation phase was carried out for relevant miRs by RT-qPCR in an enlarged cohort of 43 DS individuals (from 19 up to 68 years-old). A group of 30 non-trisomic subjects, as representative of physiological ageing, was compared. In particular miR-628-5p, miR-152-3p, miR-28-5p, and let-7d-5p showed a lower level in younger DS persons (age ≤ 50 years) respect to the age-matched controls. Among those, miR-28-5p and let-7d-5p were found significantly decreased in physiological ageing (control group with age threshold of 50 years), thus they emerged as possible biomarkers of premature ageing in DS. Moreover, measuring blood levels of beta amyloid peptides, Aβ-42 was assessed at the lowest levels in physiological ageing and correlated with miR-28-5p and let-7d-5p in DS, while Aβ-40 correlated with miR-628-5p in the same cohort. New perspectives in terms of biomarkers are discussed.
Collapse
Affiliation(s)
- Cristina Morsiani
- DIMES-Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Italy.
| | | | - Salvatore Collura
- DIMES-Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Italy
| | - María Moreno-Villanueva
- Molecular Toxicology Group, Department of Biology, University of Konstanz, Konstanz, Germany
| | - Nicolle Breusing
- Department of Applied Nutritional Science/Dietetics, Institute of Nutritional Medicine, University of Hohenheim, Germany
| | - Alexander Bürkle
- Molecular Toxicology Group, Department of Biology, University of Konstanz, Konstanz, Germany
| | - Tilman Grune
- Department of Molecular Toxicology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany; German Centre for Cardiovascular Research (DZHK), partner site Berlin, Germany
| | - Claudio Franceschi
- Laboratory of Systems Medicine of Healthy Aging and Department of Applied Mathematics, Lobachevsky University, Nizhny Novgorod, Russia
| | - Magda De Eguileor
- Department of Biotechnology and Life Sciences, University of Insubria, Varese, Italy
| | - Miriam Capri
- DIMES-Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Italy; Interdepartmental Center "Alma Mater Research Institute on Global Challenges and Climate Change (Alma Climate)", University of Bologna, Italy
| |
Collapse
|
25
|
Yamuna Sisupalan A, Changuli Krishna Bhat P, Soman D, Puthanmadom Venkatraramana Sharma A. A review on the concept of aging in Ayurveda literature. JOURNAL OF COMPLEMENTARY & INTEGRATIVE MEDICINE 2022; 19:173-179. [PMID: 34015865 DOI: 10.1515/jcim-2020-0267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Accepted: 04/14/2021] [Indexed: 06/12/2023]
Abstract
OBJECTIVES Various aspects of aging in Ayurveda literature has been explored and correlated it with modern biological understanding. CONTENT The concept of longevity is better understood upon the baseline understanding of Aging ie. Jara. Manda Jara or Ajara is synonymous with longevity. Vriddhavastha/Jirnavastha/Jara (old age) is the period after 60 or 70 years of age. This stage of life becomes very crucial as degenerative changes occur in the body. Deterioration occurs to Dhatus, Indriya (perception power), Bala (strength), Virya (potency), Utsaha (enthusiasm), Paurusha (masculinity), Parakrama (valour), Grahana (reception), Dharana (retention), Smarana (memory), Vachana (speech). Brihatrayis and Laghutrayis were reviewed to analyze the various aspects of Ayu and Jara and correlated with research papers establishing the concept of aging in terms of evidence-based technological advancements. Databases like PubMed, Scopus were searched using keywords like Jara, Ayu Lakshana, Aging, Old age, Senescence, biomarkers, DNA, blood biochemistry, proteomics, genomics, microbiota, microbiome, androgen, estrogen, lipolysis, peripheral blood monocytes, collagen, cognitive function; with the help of Boolean operators. SUMMARY Various aspects of Jara in Ayurveda have been analyzed by taking ample references from evidence-based technological advancements related to the physiology of aging. The indicators of biological aging based on recent researches like genomic irregularities, mitochondrial dysfunction, cellular senescence, altered protein expression, immunological markers, oxidative stress, pathological microbiota profile, telomere shortening in peripheral blood monocytes, lipolysis, and many other factors have been put forward for basic evidence in relation with Jara Lakshana. OUTLOOK Understanding the physiology of aging will give the insight to manage the elderly. So, the need of the hour is to develop strategies or to conduct more researches which prevent senile disorders and thus increase the health span for the future generation.
Collapse
Affiliation(s)
- Aswathy Yamuna Sisupalan
- Department of Panchakarma, Amrita School of Ayurveda, Amritapuri, Amrita Vishwa Vidyapeetham, Kollam, India
| | | | - Devipriya Soman
- Department of Kayachikitsa, Amrita School of Ayurveda, Amritapuri, Amrita Vishwa Vidyapeetham, Kollam, India
| | | |
Collapse
|
26
|
Unlocking the potential of forensic traces: Analytical approaches to generate investigative leads. Sci Justice 2022; 62:310-326. [PMID: 35598924 DOI: 10.1016/j.scijus.2022.03.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 03/17/2022] [Accepted: 03/19/2022] [Indexed: 11/21/2022]
Abstract
Forensic investigation involves gathering the information necessary to understand the criminal events as well as linking objects or individuals to an item, location or other individual(s) for investigative purposes. For years techniques such as presumptive chemical tests, DNA profiling or fingermark analysis have been of great value to this process. However, these techniques have their limitations, whether it is a lack of confidence in the results obtained due to cross-reactivity, subjectivity and low sensitivity; or because they are dependent on holding reference samples in a pre-existing database. There is currently a need to devise new ways to gather as much information as possible from a single trace, particularly from biological traces commonly encountered in forensic casework. This review outlines the most recent advancements in the forensic analysis of biological fluids, fingermarks and hair. Special emphasis is placed on analytical methods that can expand the information obtained from the trace beyond what is achieved in the usual practices. Special attention is paid to those methods that accurately determine the nature of the sample, as well as how long it has been at the crime scene, along with individualising information regarding the donor source of the trace.
Collapse
|
27
|
Liu F, Chen J, Li Z, Meng X. Recent Advances in Epigenetics of Age-Related Kidney Diseases. Genes (Basel) 2022; 13:genes13050796. [PMID: 35627181 PMCID: PMC9142069 DOI: 10.3390/genes13050796] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 04/25/2022] [Accepted: 04/26/2022] [Indexed: 02/03/2023] Open
Abstract
Renal aging has attracted increasing attention in today’s aging society, as elderly people with advanced age are more susceptible to various kidney disorders such as acute kidney injury (AKI) and chronic kidney disease (CKD). There is no clear-cut universal mechanism for identifying age-related kidney diseases, and therefore, they pose a considerable medical and public health challenge. Epigenetics refers to the study of heritable modifications in the regulation of gene expression that do not require changes in the underlying genomic DNA sequence. A variety of epigenetic modifiers such as histone deacetylases (HDAC) inhibitors and DNA methyltransferase (DNMT) inhibitors have been proposed as potential biomarkers and therapeutic targets in numerous fields including cardiovascular diseases, immune system disease, nervous system diseases, and neoplasms. Accumulating evidence in recent years indicates that epigenetic modifications have been implicated in renal aging. However, no previous systematic review has been performed to systematically generalize the relationship between epigenetics and age-related kidney diseases. In this review, we aim to summarize the recent advances in epigenetic mechanisms of age-related kidney diseases as well as discuss the application of epigenetic modifiers as potential biomarkers and therapeutic targets in the field of age-related kidney diseases. In summary, the main types of epigenetic processes including DNA methylation, histone modifications, non-coding RNA (ncRNA) modulation have all been implicated in the progression of age-related kidney diseases, and therapeutic targeting of these processes will yield novel therapeutic strategies for the prevention and/or treatment of age-related kidney diseases.
Collapse
Affiliation(s)
- Feng Liu
- Department of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China;
| | - Jiefang Chen
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China;
| | - Zhenqiong Li
- Department of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China;
- Correspondence: (Z.L.); (X.M.)
| | - Xianfang Meng
- Department of Neurobiology, Institute of Brain Research, School of Basic Medical Sciences, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
- Correspondence: (Z.L.); (X.M.)
| |
Collapse
|
28
|
Ravaioli F, Zampieri M, Morandi L, Pirazzini C, Pellegrini C, De Fanti S, Gensous N, Pirazzoli GL, Sambati L, Ghezzo A, Ciccarone F, Reale A, Monti D, Salvioli S, Caiafa P, Capri M, Bürkle A, Moreno-Villanueva M, Garagnani P, Franceschi C, Bacalini MG. DNA Methylation Analysis of Ribosomal DNA in Adults With Down Syndrome. Front Genet 2022; 13:792165. [PMID: 35571061 PMCID: PMC9094685 DOI: 10.3389/fgene.2022.792165] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Accepted: 03/18/2022] [Indexed: 01/08/2023] Open
Abstract
Control of ribosome biogenesis is a critical aspect of the regulation of cell metabolism. As ribosomal genes (rDNA) are organized in repeated clusters on chromosomes 13, 14, 15, 21, and 22, trisomy of chromosome 21 confers an excess of rDNA copies to persons with Down syndrome (DS). Previous studies showed an alteration of ribosome biogenesis in children with DS, but the epigenetic regulation of rDNA genes has not been investigated in adults with DS so far. In this study, we used a targeted deep-sequencing approach to measure DNA methylation (DNAm) of rDNA units in whole blood from 69 adults with DS and 95 euploid controls. We further evaluated the expression of the precursor of ribosomal RNAs (RNA45S) in peripheral blood mononuclear cells (PBMCs) from the same subjects. We found that the rDNA promoter tends to be hypermethylated in DS concerning the control group. The analysis of epihaplotypes (the combination of methylated and unmethylated CpG sites along the same DNA molecule) showed a significantly lower intra-individual diversity in the DS group, which at the same time was characterized by a higher interindividual variability. Finally, we showed that RNA45S expression is lower in adults with DS. Collectively, our results suggest a rearrangement of the epigenetic profile of rDNA in DS, possibly to compensate for the extranumerary rDNA copies. Future studies should assess whether the regulation of ribosome biogenesis can contribute to the pathogenesis of DS and explain the clinical heterogeneity characteristic of the syndrome.
Collapse
Affiliation(s)
- Francesco Ravaioli
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
| | - Michele Zampieri
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
| | - Luca Morandi
- Functional and Molecular Neuroimaging Unit, IRCCS Istituto Delle Scienze Neurologiche di Bologna, Bologna, Italy
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Chiara Pirazzini
- IRCCS Istituto Delle Scienze Neurologiche di Bologna, Bologna, Italy
| | | | - Sara De Fanti
- Department of Biological, Geological and Environmental Sciences, University of Bologna, Bologna, Italy
- Interdepartmental Centre Alma Mater Research Institute on Global Challenges and Climate Change, University of Bologna, Bologna, Italy
| | - Noémie Gensous
- Department of Internal Medicine and Clinical Immunology, CHU Bordeaux (Groupe Hospitalier Saint-André), Bordeaux, France
- UMR/CNRS 5164, ImmunoConcEpT, CNRS, University of Bordeaux, Bordeaux, France
| | | | - Luisa Sambati
- IRCCS Istituto Delle Scienze Neurologiche di Bologna, U.O.C. Clinica Neurologica Rete Neurologica Metropolitana (NEUROMET), Bologna, Italy
| | | | - Fabio Ciccarone
- IRCCS San Raffaele Roma, Department of Human Sciences and Promotion of the Quality of Life, San Raffaele Roma Open University, Rome, Italy
| | - Anna Reale
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
| | - Daniela Monti
- Department of Experimental and Clinical Biomedical Sciences “Mario Serio”, University of Florence, Florence, Italy
| | - Stefano Salvioli
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
| | - Paola Caiafa
- Department of Cellular Biotechnologies and Haematology, Sapienza University of Rome, Rome, Italy
| | - Miriam Capri
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
| | - Alexander Bürkle
- Molecular Toxicology Group, Department of Biology, University of Konstanz, Konstanz, Germany
| | - Maria Moreno-Villanueva
- Molecular Toxicology Group, Department of Biology, University of Konstanz, Konstanz, Germany
| | - Paolo Garagnani
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES), 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, Huddinge, Sweden
| | - Claudio Franceschi
- Laboratory of Systems Medicine of Healthy Aging, Department of Applied Mathematics, Lobachevsky University, Nizhny Novgorod, Russia
| | - Maria Giulia Bacalini
- IRCCS Istituto Delle Scienze Neurologiche di Bologna, Bologna, Italy
- *Correspondence: Maria Giulia Bacalini,
| |
Collapse
|
29
|
Rodés B, Cadiñanos J, Esteban-Cantos A, Rodríguez-Centeno J, Arribas JR. Ageing with HIV: Challenges and biomarkers. EBioMedicine 2022; 77:103896. [PMID: 35228014 PMCID: PMC8889090 DOI: 10.1016/j.ebiom.2022.103896] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 02/08/2022] [Accepted: 02/09/2022] [Indexed: 12/13/2022] Open
Abstract
The antiretroviral treatment (ART) developed to control HIV infection led to a revolution in the prognosis of people living with HIV (PLWH). PLWH underwent from suffering severe disease and often fatal complications at young ages to having a chronic condition and a life expectancy close to the general population. Nevertheless, chronic age-related diseases increase as PLWH age. The harmful effect of HIV infection on the individual's immune system adds to its deterioration during ageing, exacerbating comorbidities. In addition, PLWH are more exposed to risk factors affecting ageing, such as coinfections or harmful lifestyles. The ART initiation reverses the biological ageing process but only partially, and additionally can have some toxicities that influence ageing. Observational studies suggest premature ageing in PLWH. Therefore, there is considerable interest in the early prediction of unhealthy ageing through validated biomarkers, easy to implement in HIV-clinical settings. The most promising biomarkers are second-generation epigenetic clocks and integrative algorithms.
Collapse
Affiliation(s)
- Berta Rodés
- HIV/AIDS and Infectious Diseases Research Group, Hospital Universitario La Paz Institute for Health Research-IdiPAZ, Paseo de la Castellana 261, Madrid 28046, Spain; CIBER of Infectious Diseases (CIBER-INFECT), 28029 Madrid, Spain.
| | - Julen Cadiñanos
- HIV/AIDS and Infectious Diseases Research Group, Hospital Universitario La Paz Institute for Health Research-IdiPAZ, Paseo de la Castellana 261, Madrid 28046, Spain; Infectious Diseases Unit, Department of Internal Medicine, Hospital Universitario La Paz, Paseo de la Castellana 261, Madrid 28046, Spain; CIBER of Infectious Diseases (CIBER-INFECT), 28029 Madrid, Spain
| | - Andrés Esteban-Cantos
- HIV/AIDS and Infectious Diseases Research Group, Hospital Universitario La Paz Institute for Health Research-IdiPAZ, Paseo de la Castellana 261, Madrid 28046, Spain; CIBER of Infectious Diseases (CIBER-INFECT), 28029 Madrid, Spain
| | - Javier Rodríguez-Centeno
- HIV/AIDS and Infectious Diseases Research Group, Hospital Universitario La Paz Institute for Health Research-IdiPAZ, Paseo de la Castellana 261, Madrid 28046, Spain; CIBER of Infectious Diseases (CIBER-INFECT), 28029 Madrid, Spain
| | - José Ramón Arribas
- HIV/AIDS and Infectious Diseases Research Group, Hospital Universitario La Paz Institute for Health Research-IdiPAZ, Paseo de la Castellana 261, Madrid 28046, Spain; Infectious Diseases Unit, Department of Internal Medicine, Hospital Universitario La Paz, Paseo de la Castellana 261, Madrid 28046, Spain; CIBER of Infectious Diseases (CIBER-INFECT), 28029 Madrid, Spain.
| |
Collapse
|
30
|
Pan Y, Li Y, Liu P, Zhang Y, Li B, Liu Z, Shui G, Ma L. Metabolomics-Based Frailty Biomarkers in Older Chinese Adults. Front Med (Lausanne) 2022; 8:830723. [PMID: 35155487 PMCID: PMC8825494 DOI: 10.3389/fmed.2021.830723] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 12/20/2021] [Indexed: 11/14/2022] Open
Abstract
Background/Objectives Owing to accelerated population aging, health in older adults is becoming increasingly important. Frailty can reflect the health status and disease risks of older adults; however, appropriate biomarkers for early screening of frailty have not been identified. Here, we applied metabolomics to identify frailty biomarkers and potential pathogenic mechanisms of frailty. Methods Serum metabolic profiles from 25 frail and 49 non-frail (control) older adults were systematically investigated by liquid chromatography-mass spectrometry-based metabolomics. Results We identified 349 metabolites of 46 classes, with four increased and seven decreased metabolites in frail older adults. Pearson correlation analysis identified 11 and 21 metabolites that were positively and negatively correlated with grip strength, and 7 and 76 metabolites that were positively and negatively correlated with gait speed, respectively. Pathway analysis identified 10 metabolite sets and 13 pathways significantly associated with one or more frailty phenotype criteria. Conclusion These results revealed the metabolite characteristics of serum in frail older adults. Intermediates of carbohydrate metabolism (e.g., isocitrate, malate, fumarate, cis-aconitate, glucuronate, and pyruvate), saturated fatty acids (e.g., palmitic acid), unsaturated fatty acids (e.g., arachidonate and linoleic acid), and certain essential amino acids (e.g., tryptophan) may be candidate biomarkers for the early diagnosis of frailty. Mitochondrial function disorders, saturated fatty acid-mediated lipotoxicity, aberrant unsaturated fatty acid metabolism, and increased tryptophan degradation could be potential mechanisms of frailty.
Collapse
Affiliation(s)
- Yiming Pan
- Department of Geriatrics, National Research Center for Geriatric Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yun Li
- Department of Geriatrics, National Research Center for Geriatric Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Pan Liu
- Department of Geriatrics, National Research Center for Geriatric Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yaxin Zhang
- Department of Geriatrics, National Research Center for Geriatric Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Bowen Li
- LipidALL Technologies Company Limited, Changzhou, China
| | - Zuyun Liu
- Center for Clinical Big Data and Analytics, School of Public Health, Second Affiliated Hospital and Department of Big Data in Health Science, Zhejiang University School of Medicine, Hangzhou, China
| | - Guanghou Shui
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Lina Ma
- Department of Geriatrics, National Research Center for Geriatric Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
| |
Collapse
|
31
|
Muzyka M, Tagliafico L, Serafini G, Baiardini I, Braido F, Nencioni A, Monacelli F. Neuropsychiatric Disorders and Frailty in Older Adults over the Spectrum of Cancer: A Narrative Review. Cancers (Basel) 2022; 14:258. [PMID: 35008421 PMCID: PMC8796027 DOI: 10.3390/cancers14010258] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 11/26/2021] [Accepted: 12/02/2021] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND The interplay between different neuropsychiatric conditions, beyond dementia, in the presence of a diagnosis of cancer in older adults may mediate patients' fitness and cancer-related outcomes. Here, we aimed to investigate the presence of depression, sleep disturbances, anxiety, attitude, motivation, and support in older adults receiving a diagnosis of cancer and the dimension of frailty in order to understand the magnitude of the problem. METHODS This review provides an update of the state of the art based on references from searches of PubMed between 2000 and June 2021. RESULTS The evidence obtained underscored the tight association between frailty and unfavorable clinical outcomes in older adults with cancer. Given the intrinsic correlation of neuropsychiatric disorders with frailty in the realm of cancer survivorship, the evidence showed they might have a correlation with unfavorable clinical outcomes, late-life geriatric syndromes and higher degree of frailty. CONCLUSIONS The identification of common vulnerabilities among neuropsychiatric disorders, frailty, and cancer may hold promise to unmask similar shared pathways, potentially intercepting targeted new interventions over the spectrum of cancer with the delivery of better pathways of care for older adults with cancer.
Collapse
Affiliation(s)
- Mariya Muzyka
- IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy; (M.M.); (L.T.); (G.S.); (I.B.); (F.B.); (A.N.)
- Department of Internal Medicine and Medical Specialties (DIMI), Section of Geriatrics, 16132 Genoa, Italy
| | - Luca Tagliafico
- IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy; (M.M.); (L.T.); (G.S.); (I.B.); (F.B.); (A.N.)
- Department of Internal Medicine and Medical Specialties (DIMI), Section of Geriatrics, 16132 Genoa, Italy
| | - Gianluca Serafini
- IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy; (M.M.); (L.T.); (G.S.); (I.B.); (F.B.); (A.N.)
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, 16132 Genoa, Italy
| | - Ilaria Baiardini
- IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy; (M.M.); (L.T.); (G.S.); (I.B.); (F.B.); (A.N.)
| | - Fulvio Braido
- IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy; (M.M.); (L.T.); (G.S.); (I.B.); (F.B.); (A.N.)
- Department of Internal Medicine and Medical Specialties (DIMI), Section of Geriatrics, 16132 Genoa, Italy
| | - Alessio Nencioni
- IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy; (M.M.); (L.T.); (G.S.); (I.B.); (F.B.); (A.N.)
- Department of Internal Medicine and Medical Specialties (DIMI), Section of Geriatrics, 16132 Genoa, Italy
| | - Fiammetta Monacelli
- IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy; (M.M.); (L.T.); (G.S.); (I.B.); (F.B.); (A.N.)
- Department of Internal Medicine and Medical Specialties (DIMI), Section of Geriatrics, 16132 Genoa, Italy
| |
Collapse
|
32
|
Wright MC, Bunning T, Eleswarpu SS, Heflin MT, McDonald S, Lagoo-Deenadalayan S, Whitson H, Martinez-Camblor P, Deiner SG, Berger M. A Processed Electroencephalogram-Based Brain Anesthetic Resistance Index Is Associated With Postoperative Delirium in Older Adults: A Dual Center Study. Anesth Analg 2022; 134:149-158. [PMID: 34252066 PMCID: PMC8678136 DOI: 10.1213/ane.0000000000005660] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
BACKGROUND Some older adults show exaggerated responses to drugs that act on the brain. The brain's response to anesthetic drugs is often measured clinically by processed electroencephalogram (EEG) indices. Thus, we developed a processed EEG-based measure of the brain's resistance to volatile anesthetics and hypothesized that low scores on it would be associated with postoperative delirium risk. METHODS We defined the Duke Anesthesia Resistance Scale (DARS) as the average bispectral index (BIS) divided by the quantity (2.5 minus the average age-adjusted end-tidal minimum alveolar concentration [aaMAC] inhaled anesthetic fraction). The relationship between DARS and postoperative delirium was analyzed in 139 older surgical patients (age ≥65) from Duke University Medical Center (n = 69) and Mt Sinai Medical Center (n = 70). Delirium was assessed by geriatrician interview at Duke, and by research staff utilizing the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) instrument at Mt Sinai. We examined the relationship between DARS and delirium and used the Youden index to identify an optimal low DARS threshold (for delirium risk), and its associated 95% bootstrap confidence bounds. We used multivariable logistic regression to examine the relationship between low DARS and delirium risk. RESULTS The relationship between DARS and delirium risk was nonlinear, with higher delirium risk at low DARS scores. A DARS threshold of 28.755 maximized the Youden index for the association between low DARS and delirium, with bootstrap 95% confidence bounds of 26.18 and 29.80. A low DARS (<28.755) was associated with increased delirium risk in multivariable models adjusting for site (odds ratio [OR] [95% confidence interval {CI}] = 4.30 [1.89-10.01]; P = .001), or site-plus-patient risk factors (OR [95% CI] = 3.79 [1.63-9.10]; P = .003). These associations with postoperative delirium risk remained significant when using the 95% bootstrap confidence bounds for the low DARS threshold (P < .05 for all). Further, a low DARS (<28.755) was associated with delirium risk after accounting for opioid, midazolam, propofol, phenylephrine, and ketamine dosage as well as site (OR [95% CI] = 4.21 [1.80-10.16]; P = .002). This association between low DARS and postoperative delirium risk after controlling for these other medications remained significant (P < .05) when using either the lower or the upper 95% bootstrap confidence bounds for the low DARS threshold. CONCLUSIONS These results demonstrate that an intraoperative processed EEG-based measure of lower brain anesthetic resistance (ie, low DARS) is independently associated with increased postoperative delirium risk in older surgical patients.
Collapse
Affiliation(s)
| | - Thomas Bunning
- Anesthesiology Department, Duke University Medical Center, Durham NC
| | | | - Mitchell T. Heflin
- Geriatrics Division, Department of Medicine, Duke University Medical Center, Durham NC
| | - Shelley McDonald
- Geriatrics Division, Department of Medicine, Duke University Medical Center, Durham NC
| | | | - Heather Whitson
- Geriatrics Division, Department of Medicine, Duke University Medical Center, Durham NC,Center for the Study of Aging and Human Development, Duke University Medical Center, Durham NC
| | | | - Stacie G Deiner
- Geriatrics and Palliative Care Medicine, Department of Medicine, Mount Sinai Medical Center, New York, NY,Anesthesiology Department, Mount Sinai Medical Center, New York, NY,Neurosurgery Department, Mount Sinai Medical Center, New York, NY,Geisel School of Medicine, Dartmouth College, New Hanover, New Hampshire
| | - Miles Berger
- Anesthesiology Department, Duke University Medical Center, Durham NC,Center for the Study of Aging and Human Development, Duke University Medical Center, Durham NC,Center for Cognitive Neuroscience, Duke University, Durham NC
| |
Collapse
|
33
|
Wu L, Xie X, Liang T, Ma J, Yang L, Yang J, Li L, Xi Y, Li H, Zhang J, Chen X, Ding Y, Wu Q. Integrated Multi-Omics for Novel Aging Biomarkers and Antiaging Targets. Biomolecules 2021; 12:39. [PMID: 35053186 PMCID: PMC8773837 DOI: 10.3390/biom12010039] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 12/17/2021] [Accepted: 12/19/2021] [Indexed: 12/12/2022] Open
Abstract
Aging is closely related to the occurrence of human diseases; however, its exact biological mechanism is unclear. Advancements in high-throughput technology provide new opportunities for omics research to understand the pathological process of various complex human diseases. However, single-omics technologies only provide limited insights into the biological mechanisms of diseases. DNA, RNA, protein, metabolites, and microorganisms usually play complementary roles and perform certain biological functions together. In this review, we summarize multi-omics methods based on the most relevant biomarkers in single-omics to better understand molecular functions and disease causes. The integration of multi-omics technologies can systematically reveal the interactions among aging molecules from a multidimensional perspective. Our review provides new insights regarding the discovery of aging biomarkers, mechanism of aging, and identification of novel antiaging targets. Overall, data from genomics, transcriptomics, proteomics, metabolomics, integromics, microbiomics, and systems biology contribute to the identification of new candidate biomarkers for aging and novel targets for antiaging interventions.
Collapse
Affiliation(s)
- Lei Wu
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China; (J.M.); (X.C.)
| | - Xinqiang Xie
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
| | - Tingting Liang
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China; (J.M.); (X.C.)
| | - Jun Ma
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China; (J.M.); (X.C.)
| | - Lingshuang Yang
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
| | - Juan Yang
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China; (J.M.); (X.C.)
| | - Longyan Li
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
| | - Yu Xi
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
| | - Haixin Li
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
| | - Jumei Zhang
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
| | - Xuefeng Chen
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi’an 710021, China; (J.M.); (X.C.)
| | - Yu Ding
- Department of Food Science and Technology, Institute of Food Safety and Nutrition, Jinan University, Guangzhou 510632, China
| | - Qingping Wu
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China; (L.W.); (X.X.); (T.L.); (L.Y.); (J.Y.); (L.L.); (Y.X.); (H.L.); (J.Z.)
| |
Collapse
|
34
|
Do low molecular weight antioxidants contribute to the Protection against oxidative damage? The interrelation between oxidative stress and low molecular weight antioxidants based on data from the MARK-AGE study. Arch Biochem Biophys 2021; 713:109061. [PMID: 34662556 DOI: 10.1016/j.abb.2021.109061] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 10/12/2021] [Accepted: 10/13/2021] [Indexed: 12/31/2022]
Abstract
A redox steady state is important in maintaining vital cellular functions and is therefore homeostatically controlled by a number of antioxidative agents, the most important of which are enzymes. Oxidative Stress (OS) is associated with (or/and caused by) excessive production of damaging reactive oxygen and/or nitrogen species (ROS, RNS), which play a role in many pathologies. Because OS is a risk factor for many diseases, much effort (and money) is devoted to early diagnosis and treatment of OS. The desired benefit of the "identify (OS) and treat (by low molecular weight antioxidants, LMWA)" approach is to enable selective treatment of patients under OS. The present work aims at gaining understanding of the benefit of the antioxidants based on interrelationship between the concentration of different OS biomarkers and LMWA. Both the concentrations of a variety of biomarkers and of LMWA were previously determined and some analyses have been published by the MARK-AGE team. For the sake of simplicity, we assume that the concentration of an OS biomarker is a linear function of the concentration of a LMWA (if the association is due to causal relationship). A negative slope of this dependence (and sign of the correlation coefficient) can be intuitively expected for an antioxidant, a positive slope indicates that the LMWA is pro-oxidative, whereas extrapolation of the OS biomarker to [LMWA] = 0 is an approximation of the concentration of the OS biomarker in the absence of the LMWA. Using this strategy, we studied the effects of 12 LMWA (including tocopherols, carotenoids and ascorbic acid) on the OS status, as observed with 8 biomarkers of oxidative damage (including malondialdehyde, protein carbonyls, 3-nitrotyrosine). The results of this communication show that in a cross-sectional study the LMWA contribute little to the redox state and that different "antioxidants" are very different, so that single LMWA treatment of OS is not scientifically justified assuming our simple model. In view of the difficulty of quantitating the OS and the very different effects of various LMWA, the use of the "identify and treat" approach is questionable.
Collapse
|
35
|
Monti P, Solazzo G, Ferrari L, Bollati V. Extracellular Vesicles: Footprints of environmental exposures in the aging process? Curr Environ Health Rep 2021; 8:309-322. [PMID: 34743313 DOI: 10.1007/s40572-021-00327-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/20/2021] [Indexed: 12/17/2022]
Abstract
PURPOSE OF THE REVIEW Extracellular vesicles (EVs) are nano-sized lipid particles that participate in intercellular signaling through the trafficking of bioactive molecules from parental cells to recipient ones. This well-orchestrated communication system is crucial for the organism to respond to external cues in a coordinated manner; indeed, environmental and lifestyle exposures can modify both EV number and content, with consequences on cellular metabolism and homeostasis. In particular, a growing body of evidence suggests that exposome-induced changes in EV profile could regulate the aging process, both at the cellular and organismal levels. Here, we provide an overview of the role played by ambient-induced EVs on aging and age-related diseases. Among the several environmental factors that can affect the communication network operated by EVs, we focused on air pollution, ultraviolet light, diet, and physical exercise. Moreover, we performed a miRNA target analysis, to support the role of EV-miRNA emerging from the literature in the context of aging. RECENT FINDINGS The overall emerging picture strongly supports a key regulatory role for EVs at the interface between external stimuli and cellular/organismal aging, thus providing novel insights into the molecular mechanisms linking a "healthy exposome" to well-being in old age. In addition, this knowledge will pave the way for research aimed at developing innovative antiaging strategies based on EVs.
Collapse
Affiliation(s)
- Paola Monti
- EPIGET Lab, Department of Clinical Sciences and Community Health, Università Degli Studi Di Milano, Milan, Italy
| | - Giulia Solazzo
- EPIGET Lab, Department of Clinical Sciences and Community Health, Università Degli Studi Di Milano, Milan, Italy
| | - Luca Ferrari
- EPIGET Lab, Department of Clinical Sciences and Community Health, Università Degli Studi Di Milano, Milan, Italy
| | - Valentina Bollati
- EPIGET Lab, Department of Clinical Sciences and Community Health, Università Degli Studi Di Milano, Milan, Italy. .,Occupational Health Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
| |
Collapse
|
36
|
Stojnić B, Serrano A, Sušak L, Palou A, Bonet ML, Ribot J. Protective Effects of Individual and Combined Low Dose Beta-Carotene and Metformin Treatments against High-Fat Diet-Induced Responses in Mice. Nutrients 2021; 13:3607. [PMID: 34684608 PMCID: PMC8538788 DOI: 10.3390/nu13103607] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 09/24/2021] [Accepted: 10/13/2021] [Indexed: 12/17/2022] Open
Abstract
Anti-obesity activity has been reported for beta-carotene (BC) supplementation at high doses and metformin (MET). We studied whether BC treatment at a closer to dietary dose and MET treatment at a lower than therapeutic dose are effective in ameliorating unwanted effects of an obesogenic diet and whether their combination is advantageous. Obesity-prone mice were challenged with a high-fat diet (HFD, 45% energy as fat) for 4 weeks while receiving a placebo or being treated orally with BC (3 mg/kg/day), MET (100 mg/kg/day), or their combination (BC+MET); a fifth group received a placebo and was kept on a normal-fat diet (10% energy as fat). HFD-induced increases in body weight gain and inguinal white adipose tissue (WAT) adipocyte size were attenuated maximally or selectively in the BC+MET group, in which a redistribution towards smaller adipocytes was noted. Cumulative energy intake was unaffected, yet results suggested increased systemic energy expenditure and brown adipose tissue activation in the treated groups. Unwanted effects of HFD on glucose control and insulin sensitivity were attenuated in the treated groups, especially BC and BC+MET, in which hepatic lipid content was also decreased. Transcriptional analyses suggested effects on skeletal muscle and WAT metabolism could contribute to better responses to the HFD, especially in the MET and BC+MET groups. The results support the benefits of the BC+MET cotreatment.
Collapse
Affiliation(s)
- Bojan Stojnić
- Grupo de Nutrigenómica, Biomarcadores y Evaluación de Riesgos, Laboratory of Molecular Biology, Nutrition and Biotechnology (LBNB), Universitat de les Illes Balears, 07122 Palma, Spain; (B.S.); (A.S.); (L.S.); (A.P.); (J.R.)
| | - Alba Serrano
- Grupo de Nutrigenómica, Biomarcadores y Evaluación de Riesgos, Laboratory of Molecular Biology, Nutrition and Biotechnology (LBNB), Universitat de les Illes Balears, 07122 Palma, Spain; (B.S.); (A.S.); (L.S.); (A.P.); (J.R.)
| | - Lana Sušak
- Grupo de Nutrigenómica, Biomarcadores y Evaluación de Riesgos, Laboratory of Molecular Biology, Nutrition and Biotechnology (LBNB), Universitat de les Illes Balears, 07122 Palma, Spain; (B.S.); (A.S.); (L.S.); (A.P.); (J.R.)
| | - Andreu Palou
- Grupo de Nutrigenómica, Biomarcadores y Evaluación de Riesgos, Laboratory of Molecular Biology, Nutrition and Biotechnology (LBNB), Universitat de les Illes Balears, 07122 Palma, Spain; (B.S.); (A.S.); (L.S.); (A.P.); (J.R.)
- Institut d’Investigació Sanitària Illes Balears (IdISBa), 07120 Palma, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición (CIBERobn), 07122 Palma, Spain
| | - M. Luisa Bonet
- Grupo de Nutrigenómica, Biomarcadores y Evaluación de Riesgos, Laboratory of Molecular Biology, Nutrition and Biotechnology (LBNB), Universitat de les Illes Balears, 07122 Palma, Spain; (B.S.); (A.S.); (L.S.); (A.P.); (J.R.)
- Institut d’Investigació Sanitària Illes Balears (IdISBa), 07120 Palma, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición (CIBERobn), 07122 Palma, Spain
| | - Joan Ribot
- Grupo de Nutrigenómica, Biomarcadores y Evaluación de Riesgos, Laboratory of Molecular Biology, Nutrition and Biotechnology (LBNB), Universitat de les Illes Balears, 07122 Palma, Spain; (B.S.); (A.S.); (L.S.); (A.P.); (J.R.)
- Institut d’Investigació Sanitària Illes Balears (IdISBa), 07120 Palma, Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición (CIBERobn), 07122 Palma, Spain
| |
Collapse
|
37
|
Pisaruk AV, Koshel NM, Mehova LV, Pisaruk LV, Vaiserman AM. Questionnaire-Based Express Diagnostics of the Human Aging Rate. ADVANCES IN GERONTOLOGY 2021. [DOI: 10.1134/s2079057021030097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
|
38
|
Guesneau C, Boureau AS, Bourigault C, Berrut G, Lepelletier D, de Decker L, Chapelet G. Risk Factors Associated with 30-Day Mortality in Older Patients with Influenza. J Clin Med 2021; 10:jcm10163521. [PMID: 34441817 PMCID: PMC8396973 DOI: 10.3390/jcm10163521] [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: 07/12/2021] [Revised: 07/27/2021] [Accepted: 08/02/2021] [Indexed: 12/01/2022] Open
Abstract
Background: Influenza is a common viral condition, but factors related to short-term mortality have not been fully studied in older adults. Our objective was to determine whether there is an association between geriatric factors and 30-day mortality. Methods: This was a retrospective cohort design. All patients aged 75 years and over, with a diagnosis of influenza confirmed by a positive RT-PCR, were included. The primary endpoint was death within the 30 days after diagnosis. Results: 114 patients were included; 14 (12.3%) patients died within 30 days. In multivariate analysis these patients were older (OR: 1.37 95% CI (1.05, 1.79), p = 0.021), and had a lower ADL score (OR: 0.36 95% CI (0, 17; 0.75), p = 0.006), and a higher SOFA score (OR: 2.30 95% CI (1.07, 4.94), p = 0.03). Oseltamivir treatment, initiated within the first 48 h, was independently associated with survival (OR: 0.04 95% CI (0.002, 0.78), p = 0.034). Conclusions: Identification of mortality risk factors makes it possible to consider specific secondary prevention measures such as the rapid introduction of antiviral treatment. Combined with primary prevention, these measures could help to limit the mortality associated with influenza in older patients.
Collapse
Affiliation(s)
- Charles Guesneau
- Clinical Gerontology Department, Nantes University Hospital, 1 Place Alexis-Ricordeau, F-44000 Nantes, France
| | - Anne Sophie Boureau
- Clinical Gerontology Department, Nantes University Hospital, 1 Place Alexis-Ricordeau, F-44000 Nantes, France
| | - Céline Bourigault
- Université de Nantes, EE MiHAR (Microbiotes, Hôtes, Antibiotiques et Résistance Bacterienne), Institut de Recherche en Santé (IRS2), 22 Boulevard Bénoni-Goullin, F-44200 Nantes, France
- Bacteriology and Infection Control Department, Nantes University Hospital, 1 Place Alexis-Ricordeau, F-44000 Nantes, France
| | - Gilles Berrut
- Clinical Gerontology Department, Nantes University Hospital, 1 Place Alexis-Ricordeau, F-44000 Nantes, France
| | - Didier Lepelletier
- Université de Nantes, EE MiHAR (Microbiotes, Hôtes, Antibiotiques et Résistance Bacterienne), Institut de Recherche en Santé (IRS2), 22 Boulevard Bénoni-Goullin, F-44200 Nantes, France
- Bacteriology and Infection Control Department, Nantes University Hospital, 1 Place Alexis-Ricordeau, F-44000 Nantes, France
| | - Laure de Decker
- Clinical Gerontology Department, Nantes University Hospital, 1 Place Alexis-Ricordeau, F-44000 Nantes, France
- Université de Nantes, EE MiHAR (Microbiotes, Hôtes, Antibiotiques et Résistance Bacterienne), Institut de Recherche en Santé (IRS2), 22 Boulevard Bénoni-Goullin, F-44200 Nantes, France
| | - Guillaume Chapelet
- Clinical Gerontology Department, Nantes University Hospital, 1 Place Alexis-Ricordeau, F-44000 Nantes, France
- Université de Nantes, EE MiHAR (Microbiotes, Hôtes, Antibiotiques et Résistance Bacterienne), Institut de Recherche en Santé (IRS2), 22 Boulevard Bénoni-Goullin, F-44200 Nantes, France
| |
Collapse
|
39
|
Gradinaru D, Ungurianu A, Margina D, Moreno-Villanueva M, Bürkle A. Procaine-The Controversial Geroprotector Candidate: New Insights Regarding Its Molecular and Cellular Effects. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2021; 2021:3617042. [PMID: 34373764 PMCID: PMC8349289 DOI: 10.1155/2021/3617042] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 06/26/2021] [Accepted: 07/12/2021] [Indexed: 11/17/2022]
Abstract
Since its discovery in 1905 and its employment in everyday medical practice as a local anesthetic, to its highly controversial endorsement as an "anti-aging" molecule in the sixties and seventies, procaine is part of the history of medicine and gerontoprophylaxis. Procaine can be considered a "veteran" drug due to its long-time use in clinical practice, but is also a molecule which continues to incite interest, revealing new biological and pharmacological effects within novel experimental approaches. Therefore, this review is aimed at exploring and systematizing recent data on the biochemical, cellular, and molecular mechanisms involved in the antioxidant and potential geroprotective effects of procaine, focusing on the following aspects: (1) the research state-of-the-art, through an objective examination of scientific literature within the last 30 years, describing the positive, as well as the negative reports; (2) the experimental data supporting the beneficial effects of procaine in preventing or alleviating age-related pathology; and (3) the multifactorial pathways procaine impacts oxidative stress, inflammation, atherogenesis, cerebral age-related pathology, DNA damage, and methylation. According to reviewed data, procaine displayed antioxidant and cytoprotective actions in experimental models of myocardial ischemia/reperfusion injury, lipoprotein oxidation, endothelial-dependent vasorelaxation, inflammation, sepsis, intoxication, ionizing irradiation, cancer, and neurodegeneration. This analysis painted a complex pharmacological profile of procaine: a molecule that has not yet fully expressed its therapeutic potential in the treatment and prevention of aging-associated diseases. The numerous recent reports found demonstrate the rising interest in researching the multiple actions of procaine regulating key processes involved in cellular senescence. Its beneficial effects on cell/tissue functions and metabolism could designate procaine as a valuable candidate for the well-established Geroprotectors database.
Collapse
Affiliation(s)
- Daniela Gradinaru
- Department of Biochemistry, Faculty of Pharmacy, Carol Davila University of Medicine and Pharmacy, RO-020956 Bucharest, Romania
| | - Anca Ungurianu
- Department of Biochemistry, Faculty of Pharmacy, Carol Davila University of Medicine and Pharmacy, RO-020956 Bucharest, Romania
| | - Denisa Margina
- Department of Biochemistry, Faculty of Pharmacy, Carol Davila University of Medicine and Pharmacy, RO-020956 Bucharest, Romania
| | - Maria Moreno-Villanueva
- Department of Sport Science, Human Performance Research Centre, University of Konstanz, D-78457 Konstanz, Germany
- Department of Biology, Molecular Toxicology Group, University of Konstanz, D-78457 Konstanz, Germany
| | - Alexander Bürkle
- Department of Biology, Molecular Toxicology Group, University of Konstanz, D-78457 Konstanz, Germany
| |
Collapse
|
40
|
D'Aquila P, Giacconi R, Malavolta M, Piacenza F, Bürkle A, Villanueva MM, Dollé MET, Jansen E, Grune T, Gonos ES, Franceschi C, Capri M, Grubeck-Loebenstein B, Sikora E, Toussaint O, Debacq-Chainiaux F, Hervonen A, Hurme M, Slagboom PE, Schön C, Bernhardt J, Breusing N, Passarino G, Provinciali M, Bellizzi D. Microbiome in Blood Samples From the General Population Recruited in the MARK-AGE Project: A Pilot Study. Front Microbiol 2021; 12:707515. [PMID: 34381434 PMCID: PMC8350766 DOI: 10.3389/fmicb.2021.707515] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 06/29/2021] [Indexed: 01/12/2023] Open
Abstract
The presence of circulating microbiome in blood has been reported in both physiological and pathological conditions, although its origins, identities and function remain to be elucidated. This study aimed to investigate the presence of blood microbiome by quantitative real-time PCRs targeting the 16S rRNA gene. To our knowledge, this is the first study in which the circulating microbiome has been analyzed in such a large sample of individuals since the study was carried out on 1285 Randomly recruited Age-Stratified Individuals from the General population (RASIG). The samples came from several different European countries recruited within the EU Project MARK-AGE in which a series of clinical biochemical parameters were determined. The results obtained reveal an association between microbial DNA copy number and geographic origin. By contrast, no gender and age-related difference emerged, thus demonstrating the role of the environment in influencing the above levels independent of age and gender at least until the age of 75. In addition, a significant positive association was found with Free Fatty Acids (FFA) levels, leukocyte count, insulin, and glucose levels. Since these factors play an essential role in both health and disease conditions, their association with the extent of the blood microbiome leads us to consider the blood microbiome as a potential biomarker of human health.
Collapse
Affiliation(s)
- Patrizia D'Aquila
- Department of Biology, Ecology and Earth Sciences (DIBEST), University of Calabria, Rende, Italy
| | - Robertina Giacconi
- Advanced Technology Center for Aging Research, IRCCS (Scientific Institute for Research, Hospitalization and Healthcare) INRCA National Institute on Health and Science on Ageing, Ancona, Italy
| | - Marco Malavolta
- Advanced Technology Center for Aging Research, IRCCS (Scientific Institute for Research, Hospitalization and Healthcare) INRCA National Institute on Health and Science on Ageing, Ancona, Italy
| | - Francesco Piacenza
- Advanced Technology Center for Aging Research, IRCCS (Scientific Institute for Research, Hospitalization and Healthcare) INRCA National Institute on Health and Science on Ageing, Ancona, Italy
| | - Alexander Bürkle
- Molecular Toxicology Group, Department of Biology, University of Konstanz, Konstanz, Germany
| | - María Moreno Villanueva
- Molecular Toxicology Group, Department of Biology, University of Konstanz, Konstanz, Germany.,Department of Sport Science, Human Performance Research Centre, University of Konstanz, Konstanz, Germany
| | - Martijn E T Dollé
- Centre for Health Protection, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Eugène Jansen
- Centre for Health Protection, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Tilman Grune
- Department of Molecular Toxicology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany.,NutriAct-Competence Cluster Nutrition Research Berlin-Potsdam, Nuthetal, Germany
| | - Efstathios S Gonos
- National Hellenic Research Foundation, Institute of Biology, Medicinal Chemistry and Biotechnology, Athens, Greece
| | - Claudio Franceschi
- Department of Experimental, Diagnostic and Specialty Medicine, Alma Mater Studiorum, University of Bologna, Bologna, Italy.,Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky University, Nizhny Novgorod, Russia
| | - Miriam Capri
- Department of Experimental, Diagnostic and Specialty Medicine, Alma Mater Studiorum, University of Bologna, Bologna, Italy.,Interdepartmental Center, Alma Mater Research Institute on Global Challenges and Climate Change, University of Bologna, Bologna, Italy
| | | | - Ewa Sikora
- Laboratory of the Molecular Bases of Ageing, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland
| | - Olivier Toussaint
- Research Unit of Cellular Biology (URBC) Namur Research Institute for Life Sciences (Narilis), University of Namur, Namur, Belgium
| | - Florence Debacq-Chainiaux
- Research Unit of Cellular Biology (URBC) Namur Research Institute for Life Sciences (Narilis), University of Namur, Namur, Belgium
| | | | - Mikko Hurme
- Medical School, University of Tampere, Tampere, Finland
| | - P Eline Slagboom
- Department of Molecular Epidemiology, Leiden University Medical Centre, Leiden, Netherlands
| | | | | | - Nicolle Breusing
- Department of Applied Nutritional Science/Dietetics, Institute of Nutritional Medicine, University of Hohenheim, Stuttgart, Germany
| | - Giuseppe Passarino
- Department of Biology, Ecology and Earth Sciences (DIBEST), University of Calabria, Rende, Italy
| | - Mauro Provinciali
- Advanced Technology Center for Aging Research, IRCCS (Scientific Institute for Research, Hospitalization and Healthcare) INRCA National Institute on Health and Science on Ageing, Ancona, Italy
| | - Dina Bellizzi
- Department of Biology, Ecology and Earth Sciences (DIBEST), University of Calabria, Rende, Italy
| |
Collapse
|
41
|
Diebel LWM, Rockwood K. Determination of Biological Age: Geriatric Assessment vs Biological Biomarkers. Curr Oncol Rep 2021; 23:104. [PMID: 34269912 PMCID: PMC8284182 DOI: 10.1007/s11912-021-01097-9] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/20/2021] [Indexed: 12/19/2022]
Abstract
Purpose of Review Biological age is the concept of using biophysiological measures to more accurately determine an individual’s age-related risk of adverse outcomes. Grading of the degree of frailty and measuring biomarkers are distinct methods of measuring biological age. This review compares these strategies for estimating biological age for clinical purposes. Recent Findings The degree of frailty predicts susceptibility to adverse outcomes independently of chronological age. The utility of this approach has been demonstrated across a range of clinical contexts. Biomarkers from various levels of the biological aging process are improving in accuracy, with the potential to identify aberrant aging trajectories before the onset of clinically manifest frailty. Summary Grading of frailty is a demonstrably, clinically, and research-relevant proxy estimate of biological age. Emerging biomarkers can supplement this approach by identifying accelerated aging before it is clinically apparent. Some biomarkers may even offer a means by which interventions to reduce the rate of aging can be developed.
Collapse
Affiliation(s)
- Lucas W M Diebel
- Division of Geriatric Medicine, Department of Medicine, Dalhousie University, Nova Scotia Health Authority, Halifax, Canada.,Centre for Health Care of the Elderly, Veterans' Memorial Building, 4121-5955 Veterans' Memorial Lane, Halifax, Nova Scotia, B3H 2E9, Canada
| | - Kenneth Rockwood
- Division of Geriatric Medicine, Department of Medicine, Dalhousie University, Nova Scotia Health Authority, Halifax, Canada. .,Centre for Health Care of the Elderly, Veterans' Memorial Building, 4121-5955 Veterans' Memorial Lane, Halifax, Nova Scotia, B3H 2E9, Canada. .,Department of Medicine, Divisions of Geriatric Medicine & Neurology, Dalhousie University, Nova Scotia Health Authority, Halifax, Canada.
| |
Collapse
|
42
|
Gasmi A, Chirumbolo S, Peana M, Mujawdiya PK, Dadar M, Menzel A, Bjørklund G. Biomarkers of Senescence during Aging as Possible Warnings to Use Preventive Measures. Curr Med Chem 2021; 28:1471-1488. [PMID: 32942969 DOI: 10.2174/0929867327999200917150652] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2019] [Revised: 08/09/2020] [Accepted: 08/18/2020] [Indexed: 11/22/2022]
Abstract
Human life expectancy is increasing significantly over time thanks to the improved possibility for people to take care of themselves and the higher availability of food, drugs, hygiene, services, and assistance. The increase in the average age of the population worldwide is, however, becoming a real concern, since aging is associated with the rapid increase in chronic inflammatory pathologies and degenerative diseases, very frequently dependent on senescent phenomena that occur alongside with senescence. Therefore, the search for reliable biomarkers that can diagnose the possible onset or predict the risk of developing a disease associated with aging is a crucial target of current medicine. In this review, we construct a synopsis of the main addressable biomarkers to study the development of aging and the associated ailments.
Collapse
Affiliation(s)
- Amin Gasmi
- Société Francophone de Nutrithérapie et de Nutrigénétique Appliquée, Villeurbanne, France
| | - Salvatore Chirumbolo
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Massimiliano Peana
- Department of Chemistry and Pharmacy, University of Sassari, Sassari, Italy
| | | | - Maryam Dadar
- Razi Vaccine and Serum Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran
| | - Alain Menzel
- Laboratoires Réunis, Junglinster, Luxembourg, Norway
| | - Geir Bjørklund
- Council for Nutritional and Environmental Medicine (CONEM), Mo i Rana, Norway
| |
Collapse
|
43
|
Mandarano M, Orecchini E, Bellezza G, Vannucci J, Ludovini V, Baglivo S, Tofanetti FR, Chiari R, Loreti E, Puma F, Sidoni A, Belladonna ML. Kynurenine/Tryptophan Ratio as a Potential Blood-Based Biomarker in Non-Small Cell Lung Cancer. Int J Mol Sci 2021; 22:ijms22094403. [PMID: 33922388 PMCID: PMC8122814 DOI: 10.3390/ijms22094403] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 04/14/2021] [Accepted: 04/20/2021] [Indexed: 12/11/2022] Open
Abstract
The enzyme indoleamine 2,3-dioxygenase 1 (IDO1) degrade tryptophan (Trp) into kynurenine (Kyn) at the initial step of an enzymatic pathway affecting T cell proliferation. IDO1 is highly expressed in various cancer types and associated with poor prognosis. Nevertheless, the serum Kyn/Trp concentration ratio has been suggested as a marker of cancer-associated immune suppression. We measured Kyn and Trp in blood samples of a wide cohort of non-small-cell lung cancer (NSCLC) patients, before they underwent surgery, and analyzed possible correlations of the Kyn/Trp ratio with either IDO1 expression or clinical–pathological parameters. Low Kyn/Trp significantly correlated with low IDO1 expression and never-smoker patients; while high Kyn/Trp was significantly associated with older (≥68 years) patients, advanced tumor stage, and squamous cell carcinoma (Sqcc), rather than the adenocarcinoma (Adc) histotype. Moreover, high Kyn/Trp was associated, among the Adc group, with higher tumor stages (II and III), and, among the Sqcc group, with a high density of tumor-infiltrating lymphocytes. A trend correlating the high Kyn/Trp ratio with the probability of recurrences from NSCLC was also found. In conclusion, high serum Kyn/Trp ratio, associated with clinical and histopathological parameters, may serve as a serum biomarker to optimize risk stratification and therapy of NSCLC patients.
Collapse
MESH Headings
- Adenocarcinoma of Lung/blood
- Adenocarcinoma of Lung/pathology
- Adenocarcinoma of Lung/surgery
- Adult
- Aged
- Aged, 80 and over
- B7-H1 Antigen/metabolism
- Biomarkers, Tumor/blood
- Carcinoma, Non-Small-Cell Lung/blood
- Carcinoma, Non-Small-Cell Lung/pathology
- Carcinoma, Non-Small-Cell Lung/surgery
- Carcinoma, Squamous Cell/blood
- Carcinoma, Squamous Cell/pathology
- Carcinoma, Squamous Cell/surgery
- Female
- Follow-Up Studies
- Humans
- Indoleamine-Pyrrole 2,3,-Dioxygenase/metabolism
- Kynurenine/blood
- Lung Neoplasms/blood
- Lung Neoplasms/pathology
- Lung Neoplasms/surgery
- Lymphocytes, Tumor-Infiltrating/immunology
- Male
- Middle Aged
- Neoplasm Recurrence, Local/blood
- Neoplasm Recurrence, Local/pathology
- Neoplasm Recurrence, Local/surgery
- Prognosis
- Survival Rate
- Tryptophan/blood
Collapse
Affiliation(s)
- Martina Mandarano
- Section of Anatomic Pathology and Histology, Department of Medicine and Surgery, University of Perugia, 06129 Perugia, Italy; (M.M.); (G.B.); (E.L.); (A.S.)
| | - Elena Orecchini
- Section of Pharmacology, Department of Medicine and Surgery, University of Perugia, 06129 Perugia, Italy;
| | - Guido Bellezza
- Section of Anatomic Pathology and Histology, Department of Medicine and Surgery, University of Perugia, 06129 Perugia, Italy; (M.M.); (G.B.); (E.L.); (A.S.)
| | - Jacopo Vannucci
- Section of Thoracic Surgery, Department of Medicine and Surgery, University of Perugia, 06129 Perugia, Italy; (J.V.); (F.P.)
| | - Vienna Ludovini
- Medical Oncology Division, Santa Maria della Misericordia Hospital, 06132 Perugia, Italy; (V.L.); (S.B.); (F.R.T.)
| | - Sara Baglivo
- Medical Oncology Division, Santa Maria della Misericordia Hospital, 06132 Perugia, Italy; (V.L.); (S.B.); (F.R.T.)
| | - Francesca Romana Tofanetti
- Medical Oncology Division, Santa Maria della Misericordia Hospital, 06132 Perugia, Italy; (V.L.); (S.B.); (F.R.T.)
| | - Rita Chiari
- Division of Medical Oncology, Ospedali Riuniti Padova Sud, 35043 Monselice, Italy;
| | - Elisabetta Loreti
- Section of Anatomic Pathology and Histology, Department of Medicine and Surgery, University of Perugia, 06129 Perugia, Italy; (M.M.); (G.B.); (E.L.); (A.S.)
| | - Francesco Puma
- Section of Thoracic Surgery, Department of Medicine and Surgery, University of Perugia, 06129 Perugia, Italy; (J.V.); (F.P.)
| | - Angelo Sidoni
- Section of Anatomic Pathology and Histology, Department of Medicine and Surgery, University of Perugia, 06129 Perugia, Italy; (M.M.); (G.B.); (E.L.); (A.S.)
| | - Maria Laura Belladonna
- Section of Pharmacology, Department of Medicine and Surgery, University of Perugia, 06129 Perugia, Italy;
- Correspondence:
| |
Collapse
|
44
|
Ageing affects subtelomeric DNA methylation in blood cells from a large European population enrolled in the MARK-AGE study. GeroScience 2021; 43:1283-1302. [PMID: 33870444 PMCID: PMC8190237 DOI: 10.1007/s11357-021-00347-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Accepted: 02/23/2021] [Indexed: 11/23/2022] Open
Abstract
Ageing leaves characteristic traces in the DNA methylation make-up of the genome. However, the importance of DNA methylation in ageing remains unclear. The study of subtelomeric regions could give promising insights into this issue. Previously reported associations between susceptibility to age-related diseases and epigenetic instability at subtelomeres suggest that the DNA methylation profile of subtelomeres undergoes remodelling during ageing. In the present work, this hypothesis has been tested in the context of the European large-scale project MARK-AGE. In this cross-sectional study, we profiled the DNA methylation of chromosomes 5 and 21 subtelomeres, in more than 2000 age-stratified women and men recruited in eight European countries. The study included individuals from the general population as well as the offspring of nonagenarians and Down syndrome subjects, who served as putative models of delayed and accelerated ageing, respectively. Significant linear changes of subtelomeric DNA methylation with increasing age were detected in the general population, indicating that subtelomeric DNA methylation changes are typical signs of ageing. Data also show that, compared to the general population, the dynamics of age-related DNA methylation changes are attenuated in the offspring of centenarian, while they accelerate in Down syndrome individuals. This result suggests that subtelomeric DNA methylation changes reflect the rate of ageing progression. We next attempted to trace the age-related changes of subtelomeric methylation back to the influence of diverse variables associated with methylation variations in the population, including demographics, dietary/health habits and clinical parameters. Results indicate that the effects of age on subtelomeric DNA methylation are mostly independent of all other variables evaluated.
Collapse
|
45
|
Self-rated health in individuals with and without disease is associated with multiple biomarkers representing multiple biological domains. Sci Rep 2021; 11:6139. [PMID: 33731775 PMCID: PMC7969614 DOI: 10.1038/s41598-021-85668-7] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2020] [Accepted: 03/01/2021] [Indexed: 12/18/2022] Open
Abstract
Self-rated health (SRH) is one of the most frequently used indicators in health and social research. Its robust association with mortality in very different populations implies that it is a comprehensive measure of health status and may even reflect the condition of the human organism beyond clinical diagnoses. Yet the biological basis of SRH is poorly understood. We used data from three independent European population samples (N approx. 15,000) to investigate the associations of SRH with 150 biomolecules in blood or urine (biomarkers). Altogether 57 biomarkers representing different organ systems were associated with SRH. In almost half of the cases the association was independent of disease and physical functioning. Biomarkers weakened but did not remove the association between SRH and mortality. We propose three potential pathways through which biomarkers may be incorporated into an individual’s subjective health assessment, including (1) their role in clinical diseases; (2) their association with health-related lifestyles; and (3) their potential to stimulate physical sensations through interoceptive mechanisms. Our findings indicate that SRH has a solid biological basis and it is a valid but non-specific indicator of the biological condition of the human organism.
Collapse
|
46
|
Giacconi R, Maggi F, Macera L, Spezia PG, Pistello M, Provinciali M, Piacenza F, Basso A, Bürkle A, Moreno-Villanueva M, Dollé MET, Jansen E, Grune T, Stuetz W, Gonos ES, Schön C, Bernhardt J, Grubeck-Loebenstein B, Sikora E, Dudkowska M, Janiszewska D, Toussaint O, Debacq-Chainiaux F, Franceschi C, Capri M, Hervonen A, Hurme M, Slagboom E, Breusing N, Mocchegiani E, Malavolta M. Prevalence and Loads of Torquetenovirus in the European MARK-AGE Study Population. J Gerontol A Biol Sci Med Sci 2021; 75:1838-1845. [PMID: 31838498 DOI: 10.1093/gerona/glz293] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2019] [Indexed: 12/12/2022] Open
Abstract
Torquetenovirus (TTV) viremia has been associated with increased mortality risk in the elderly population. This work aims to investigate TTV viremia as a potential biomarker of immunosenescence. We compared levels of circulating TTV in 1813 participants of the MARK-AGE project, including human models of delayed (offspring of centenarians [GO]) and premature (Down syndrome [DS]) immunosenescence. The TTV load was positively associated with age, cytomegalovirus (CMV) antibody levels, and the Cu/Zn ratio and negatively associated with platelets, total cholesterol, and total IgM. TTV viremia was highest in DS and lowest in GO, with intermediate levels in the SGO (spouses of GO) and RASIG (Randomly Recruited Age-Stratified Individuals From The General Population) populations. In the RASIG population, TTV DNA loads showed a slight negative association with CD3+T-cells and CD4+T-cells. Finally, males with ≥4log TTV copies/mL had a higher risk of having a CD4/CD8 ratio<1 than those with lower viremia (odds ratio [OR] = 2.85, 95% confidence interval [CI]: 1.06-7.62), as well as reduced CD3+ and CD4+T-cells compared to males with lower replication rates (<4log), even after adjusting for CMV infection. In summary, differences in immune system preservation are reflected in the models of delayed and premature immunosenescence, displaying the best and worst control over TTV replication, respectively. In the general population, TTV loads were negatively associated with CD4+ cell counts, with an increased predisposition for an inverted CD4/CD8 ratio for individuals with TTV loads ≥4log copies/mL, thus promoting an immune risk phenotype.
Collapse
Affiliation(s)
- Robertina Giacconi
- Advanced Technology Center for Aging Research, IRCCS INRCA, Ancona, Italy
| | - Fabrizio Maggi
- Department of Translational Research, University of Pisa, Italy
| | - Lisa Macera
- Department of Translational Research, University of Pisa, Italy
| | | | - Mauro Pistello
- Department of Translational Research, University of Pisa, Italy
| | - Mauro Provinciali
- Advanced Technology Center for Aging Research, IRCCS INRCA, Ancona, Italy
| | - Francesco Piacenza
- Advanced Technology Center for Aging Research, IRCCS INRCA, Ancona, Italy
| | - Andrea Basso
- Advanced Technology Center for Aging Research, IRCCS INRCA, Ancona, Italy
| | - Alexander Bürkle
- Molecular Toxicology Group, Department of Biology, Box 628, University of Konstanz, Germany
| | - María Moreno-Villanueva
- Molecular Toxicology Group, Department of Biology, Box 628, University of Konstanz, Germany.,Human Performance Research Centre, Department of Sport Science, Box 30, University of Konstanz, Germany
| | - Martijn E T Dollé
- Centre for Health Protection, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Eugène Jansen
- Centre for Health Protection, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Tilman Grune
- Department of Molecular Toxicology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany.,NutriAct-Competence Cluster Nutrition Research Berlin-Potsdam, Nuthetal, Germany
| | - Wolfgang Stuetz
- Institute of Biological Chemistry and Nutrition, University of Hohenheim, Stuttgart, Germany
| | - Efstathios S Gonos
- National Hellenic Research Foundation, Institute of Biology, Medicinal Chemistry and Biotechnology, Athens, Greece
| | | | | | | | - Ewa Sikora
- Laboratory of the Molecular Bases of Ageing, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland
| | - Magdalena Dudkowska
- Laboratory of the Molecular Bases of Ageing, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland
| | - Dorota Janiszewska
- Laboratory of the Molecular Bases of Ageing, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland
| | | | | | - Claudio Franceschi
- CIG-Interdepartmental Center "L. Galvani," Alma Mater Studiorum, University of Bologna, Italy
| | - Miriam Capri
- CIG-Interdepartmental Center "L. Galvani," Alma Mater Studiorum, University of Bologna, Italy
| | | | - Mikko Hurme
- Faculty of Medicine and Biosciences, University of Tampere, Finland
| | - Eline Slagboom
- Department of Molecular Epidemiology, Leiden University Medical Centre, The Netherlands
| | - Nicolle Breusing
- Department of Applied Nutritional Science/Dietetics, Institute of Nutritional Medicine, University of Hohenheim, Stuttgart, Germany
| | | | - Marco Malavolta
- Advanced Technology Center for Aging Research, IRCCS INRCA, Ancona, Italy
| |
Collapse
|
47
|
Martínez de Toda I, Vida C, Garrido A, De la Fuente M. Redox Parameters as Markers of the Rate of Aging and Predictors of Life Span. J Gerontol A Biol Sci Med Sci 2021; 75:613-620. [PMID: 30753310 DOI: 10.1093/gerona/glz033] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2018] [Indexed: 02/06/2023] Open
Abstract
Oxidative stress has been reported to increase with aging, and although several age-related changes in redox parameters have been described, none of them have been verified as markers of the rate of aging and life span. Therefore, antioxidant (catalase, glutathione peroxidase, reductase activities, and reduced glutathione) and oxidant (oxidized glutathione, basal superoxide anion, and malondialdehyde concentrations) parameters were studied in whole blood cells from humans divided into different age groups (adult, mature, older adult, nonagenarian, and centenarian) in a cross-sectional study. Moreover, the same parameters were investigated in peritoneal leukocytes of mice at the analogous human ages (adult, mature, old, very old, and long-lived) in a longitudinal study as well as in adult prematurely aging mice. The results reveal that the age-related alterations of these markers are similar in humans and mice, with decreased antioxidants and increased oxidants in old participants, whereas long-lived individuals show similar values to those in adults. In addition, adult prematurely aging mice showed similar values to those in chronologically old mice and had a shorter life span than nonprematurely aging mice. Thus, these parameters could be proposed as markers of the rate of aging and used to ascertain biological age in humans.
Collapse
Affiliation(s)
- Irene Martínez de Toda
- Department of Genetics, Physiology and Microbiology (Unit of Animal Physiology), Faculty of Biology, Complutense University, Madrid, Spain.,Institute of Investigation Hospital 12 Octubre, Madrid, Spain
| | - Carmen Vida
- Department of Genetics, Physiology and Microbiology (Unit of Animal Physiology), Faculty of Biology, Complutense University, Madrid, Spain.,Institute of Investigation Hospital 12 Octubre, Madrid, Spain
| | - Antonio Garrido
- Department of Genetics, Physiology and Microbiology (Unit of Animal Physiology), Faculty of Biology, Complutense University, Madrid, Spain.,Institute of Investigation Hospital 12 Octubre, Madrid, Spain
| | - Mónica De la Fuente
- Department of Genetics, Physiology and Microbiology (Unit of Animal Physiology), Faculty of Biology, Complutense University, Madrid, Spain.,Institute of Investigation Hospital 12 Octubre, Madrid, Spain
| |
Collapse
|
48
|
De Francesco D, Sabin CA, Reiss P, Kootstra NA. Monocyte and T Cell Immune Phenotypic Profiles Associated With Age Advancement Differ Between People With HIV, Lifestyle-Comparable Controls and Blood Donors. Front Immunol 2020; 11:581616. [PMID: 33123168 PMCID: PMC7573236 DOI: 10.3389/fimmu.2020.581616] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Accepted: 09/21/2020] [Indexed: 12/11/2022] Open
Abstract
Motivation People with HIV on successful antiretroviral therapy show signs of premature aging and are reported to have higher rates of age-associated comorbidities. HIV-associated immune dysfunction and inflammation have been suggested to contribute to this age advancement and increased risk of comorbidities. Method Partial least squares regression (PLSR) was used to explore associations between biological age advancement and immunological changes in the T cell and monocyte compartment in people with HIV (n=40), comparable HIV-negative individuals (n=40) participating in the Comorbidity in Relation to AIDS (COBRA) cohort, and blood donors (n=35). Results We observed that age advancement in all three groups combined was associated with a monocyte immune phenotypic profile related to inflammation and a T cell immune phenotypic associated with immune senescence and chronic antigen exposure. Interestingly, a unique monocyte and T cell immune phenotypic profile predictive for age advancement was found within each group. An inflammatory monocyte immune phenotypic profile associated with age advancement in HIV-negative individuals, while the monocyte profile in blood donors and people with HIV was more reflective of loss of function. The T cell immune phenotypic profile in blood donors was related to loss of T cell function, whereas the same set of markers were related to chronic antigen stimulation and immune senescence in HIV-negative individuals. In people with HIV, age advancement was related to changes in the CD4+ T cell compartment and more reflective of immune recovery after cART treatment. Impact The identified monocyte and T cell immune phenotypic profiles that were associated with age advancement, were strongly related to inflammation, chronic antigen exposure and immune senescence. While the monocyte and T cell immune phenotypic profile within the HIV-negative individuals reflected those observed in the combined three groups, a distinct profile related to immune dysfunction, was observed within blood donors and people with HIV. These data suggest that varying exposures to lifestyle and infection-related factors may be associated with specific changes in the innate and adaptive immune system, that all contribute to age advancement.
Collapse
Affiliation(s)
- Davide De Francesco
- Institute for Global Health, University College London, London, United Kingdom
| | - Caroline A Sabin
- Institute for Global Health, University College London, London, United Kingdom
| | - Peter Reiss
- Amsterdam institute for Global Health and Development, Amsterdam, Netherlands.,Department of Global Health & Division of Infectious Disease, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands.,HIV Monitoring Foundation, Amsterdam, Netherlands
| | - Neeltje A Kootstra
- Department of Experimental Immunology, Amsterdam Infection and Immunity Institute, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands
| |
Collapse
|
49
|
Hofmann B, Simm A. Definiert das Alter den geriatrischen Patienten? AKTUELLE KARDIOLOGIE 2020. [DOI: 10.1055/a-1236-7228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
ZusammenfassungÄltere Menschen stellen einen wachsenden Anteil unserer täglich medizinisch und chirurgisch zu versorgenden Patienten dar. Allerdings definiert das kalendarische Alter alleine den älteren Patienten nur unzureichend. Vielmehr scheint das biologische Alter oder das Maß an Gebrechlichkeit entscheidend für die Charakterisierung zu sein. Auch der Prozentsatz der Menschen, die gebrechlich sind, ist in den letzten Jahrzehnten stetig gestiegen. Gebrechlichkeit oder Frailty ist ein geriatrisches Syndrom, welches durch verringerte physische und psychische Reserven zur Kompensation gekennzeichnet ist. Die beiden am häufigsten genutzten Ansätze zur Definition von Gebrechlichkeit sind der phänotypische Ansatz und der Ansatz der Defizitakkumulation. Für ältere Patienten haben sich in diesem Zusammenhang 2 Interventionspunkte in der klinischen Praxis herauskristallisiert: 1. die präinterventionelle/operative Identifizierung von Hochrisikopatienten, um sowohl die Patientenerwartungen
als auch die chirurgische Entscheidungsfindung zu steuern, und 2. periinterventionelle/operative Optimierungsstrategien für gebrechliche Patienten. Noch fehlt ein mit vertretbarem Zeitaufwand in der klinischen Praxis umsetzbarer, objektiver Goldstandard zur Analyse der Frailty.
Collapse
Affiliation(s)
- Britt Hofmann
- Mitteldeutsches Herzzentrum, Universitätsklinik und Poliklinik für Herzchirurgie, Martin-Luther-Universität Halle-Wittenberg, Halle (Saale), Deutschland
| | - Andreas Simm
- Mitteldeutsches Herzzentrum, Universitätsklinik und Poliklinik für Herzchirurgie, Martin-Luther-Universität Halle-Wittenberg, Halle (Saale), Deutschland
| |
Collapse
|
50
|
Flanagan E, Lamport D, Brennan L, Burnet P, Calabrese V, Cunnane SC, de Wilde MC, Dye L, Farrimond JA, Emerson Lombardo N, Hartmann T, Hartung T, Kalliomäki M, Kuhnle GG, La Fata G, Sala-Vila A, Samieri C, Smith AD, Spencer JP, Thuret S, Tuohy K, Turroni S, Vanden Berghe W, Verkuijl M, Verzijden K, Yannakoulia M, Geurts L, Vauzour D. Nutrition and the ageing brain: Moving towards clinical applications. Ageing Res Rev 2020; 62:101079. [PMID: 32461136 DOI: 10.1016/j.arr.2020.101079] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Revised: 04/28/2020] [Accepted: 05/04/2020] [Indexed: 12/11/2022]
Abstract
The global increases in life expectancy and population have resulted in a growing ageing population and with it a growing number of people living with age-related neurodegenerative conditions and dementia, shifting focus towards methods of prevention, with lifestyle approaches such as nutrition representing a promising avenue for further development. This overview summarises the main themes discussed during the 3rd Symposium on "Nutrition for the Ageing Brain: Moving Towards Clinical Applications" held in Madrid in August 2018, enlarged with the current state of knowledge on how nutrition influences healthy ageing and gives recommendations regarding how the critical field of nutrition and neurodegeneration research should move forward into the future. Specific nutrients are discussed as well as the impact of multi-nutrient and whole diet approaches, showing particular promise to combatting the growing burden of age-related cognitive decline. The emergence of new avenues for exploring the role of diet in healthy ageing, such as the impact of the gut microbiome and development of new techniques (imaging measures of brain metabolism, metabolomics, biomarkers) are enabling researchers to approach finding answers to these questions. But the translation of these findings into clinical and public health contexts remains an obstacle due to significant shortcomings in nutrition research or pressure on the scientific community to communicate recommendations to the general public in a convincing and accessible way. Some promising programs exist but further investigation to improve our understanding of the mechanisms by which nutrition can improve brain health across the human lifespan is still required.
Collapse
|