1
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Sun L, Li Z, Hu C, Ding J, Zhou Q, Pang G, Wu Z, Yang R, Li S, Li J, Cai J, Sun Y, Li R, Zhen H, Sun S, Zhang J, Fang M, Chen Z, Lv Y, Cao Q, Sun Y, Gong R, Huang Z, Duan Y, Liu H, Dong J, Li J, Ruan J, Lu H, He B, Li N, Li T, Xue W, Li Y, Shen J, Yang F, Zhao C, Liang Q, Zhang M, Chen C, Gong H, Hou Y, Wang J, Zhang Y, Yang H, Zhu S, Xiao L, Jin Z, Guo H, Zhao P, Brix S, Xu X, Jia H, Kristiansen K, Yang Z, Nie C. Age-dependent changes in the gut microbiota and serum metabolome correlate with renal function and human aging. Aging Cell 2023; 22:e14028. [PMID: 38015106 PMCID: PMC10726799 DOI: 10.1111/acel.14028] [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: 03/15/2023] [Revised: 10/16/2023] [Accepted: 10/18/2023] [Indexed: 11/29/2023] Open
Abstract
Human aging is invariably accompanied by a decline in renal function, a process potentially exacerbated by uremic toxins originating from gut microbes. Based on a registered household Chinese Guangxi longevity cohort (n = 151), we conducted comprehensive profiling of the gut microbiota and serum metabolome of individuals from 22 to 111 years of age and validated the findings in two independent East Asian aging cohorts (Japan aging cohort n = 330, Yunnan aging cohort n = 80), identifying unique age-dependent differences in the microbiota and serum metabolome. We discovered that the influence of the gut microbiota on serum metabolites intensifies with advancing age. Furthermore, mediation analyses unveiled putative causal relationships between the gut microbiota (Escherichia coli, Odoribacter splanchnicus, and Desulfovibrio piger) and serum metabolite markers related to impaired renal function (p-cresol, N-phenylacetylglutamine, 2-oxindole, and 4-aminohippuric acid) and aging. The fecal microbiota transplantation experiment demonstrated that the feces of elderly individuals could influence markers related to impaired renal function in the serum. Our findings reveal novel links between age-dependent alterations in the gut microbiota and serum metabolite markers of impaired renal function, providing novel insights into the effects of microbiota-metabolite interplay on renal function and healthy aging.
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Affiliation(s)
- Liang Sun
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Zhiming Li
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Key Laboratory of Neurogenomics, BGI ResearchShenzhenChina
- State Key Laboratory of Genetic EngineeringCollaborative Innovation Center for Genetics and Development, and Human Phenome Institute, Fudan UniversityShanghaiChina
| | | | - Jiahong Ding
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Key Laboratory of Neurogenomics, BGI ResearchShenzhenChina
| | - Qi Zhou
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | | | - Zhu Wu
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Ruiyue Yang
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Shenghui Li
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and HealthChina Agricultural UniversityBeijingChina
| | - Jian Li
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Jianping Cai
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Yuzhe Sun
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Key Laboratory of Neurogenomics, BGI ResearchShenzhenChina
| | - Rui Li
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Hefu Zhen
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Key Laboratory of Neurogenomics, BGI ResearchShenzhenChina
| | - Shuqin Sun
- School of GerontologyBinzhou Medical UniversityYantaiChina
| | - Jianmin Zhang
- School of GerontologyBinzhou Medical UniversityYantaiChina
| | - Mingyan Fang
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Zhihua Chen
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Yuan Lv
- Jiangbin HospitalNanningChina
| | - Qizhi Cao
- School of GerontologyBinzhou Medical UniversityYantaiChina
| | - Yanan Sun
- School of GerontologyBinzhou Medical UniversityYantaiChina
| | - Ranhui Gong
- Office of Longevity Cultural, People's Government of Yongfu CountyGuilinChina
| | - Zezhi Huang
- Office of Longevity Cultural, People's Government of Yongfu CountyGuilinChina
| | - Yong Duan
- Yunnan Key Laboratory of Laboratory MedicineKunmingChina
- Yunnan Institute of Experimental DiagnosisKunmingChina
| | - Hengshuo Liu
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Jun Dong
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Junchun Li
- Office of Longevity Cultural, People's Government of Yongfu CountyGuilinChina
| | - Jie Ruan
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Haorong Lu
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | | | | | - Tao Li
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Wenbin Xue
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Yan Li
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Key Laboratory of Neurogenomics, BGI ResearchShenzhenChina
| | - Juan Shen
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Fan Yang
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Cheng Zhao
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | | | - Mingrong Zhang
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Chen Chen
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Huan Gong
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Yong Hou
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Jian Wang
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Ying Zhang
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Huanming Yang
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Shida Zhu
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Engineering Laboratory for Innovative Molecular Diagnostics, BGI ResearchShenzhenChina
| | - Liang Xiao
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Engineering Laboratory of Detection and Intervention of Human Intestinal Microbiome, BGI ResearchShenzhenChina
| | - Zhen Jin
- Yunnan Key Laboratory of Laboratory MedicineKunmingChina
- Yunnan Institute of Experimental DiagnosisKunmingChina
| | - Haiyun Guo
- Yunnan Key Laboratory of Laboratory MedicineKunmingChina
| | - Peng Zhao
- Yunnan Key Laboratory of Laboratory MedicineKunmingChina
| | - Susanne Brix
- Department of Biotechnology and BiomedicineTechnical University of DenmarkLyngbyDenmark
| | - Xun Xu
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI ResearchShenzhenChina
| | - Huijue Jia
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
| | - Karsten Kristiansen
- BGI ResearchShenzhenChina
- Laboratory of Genomics and Molecular Biomedicine, Department of BiologyUniversity of CopenhagenCopenhagenDenmark
- Qingdao‐Europe Advanced Institute for Life SciencesQingdaoShandongChina
| | - Ze Yang
- The NHC Key Laboratory of GeriatricsInstitute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health CommissionBeijingChina
| | - Chao Nie
- BGI ResearchShenzhenChina
- China National GeneBank, BGI ResearchShenzhenChina
- Shenzhen Key Laboratory of Neurogenomics, BGI ResearchShenzhenChina
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2
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Gavrilova NS, Gavrilov LA. Protective Effects of Familial Longevity Decrease With Age and Become Negligible for Centenarians. J Gerontol A Biol Sci Med Sci 2022; 77:736-743. [PMID: 34929024 PMCID: PMC8974328 DOI: 10.1093/gerona/glab380] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2021] [Indexed: 11/12/2022] Open
Abstract
It is known that biological relatives of long-lived individuals demonstrate lower mortality and longer life span compared to relatives of shorter-lived individuals, and at least part of this advantage is likely to be genetic. Less information, however, is available about effects of familial longevity on age-specific mortality trajectories. We compared mortality patterns after age 50 years for 10 045 siblings of US centenarians and 12 308 siblings of shorter-lived individuals (died at age 65 years). Similar comparisons were made for sons and daughters of longer-lived parents (both parents lived 80 years and more) and shorter-lived parents (both parents lived less than 80 years) within each group of siblings. Although relatives of longer-lived individuals have lower mortality at younger ages compared to relatives of shorter-lived individuals, this mortality advantage practically disappears by age 100 years. To validate this observation further, we analyzed the survival of 3 408 US centenarians born in 1890-1897 with known information on maternal and paternal life span. We found using the Cox proportional hazards model that both maternal and paternal longevity (life span 80+ years) is not significantly associated with survival after age 100 years. The results are compatible with the predictions of reliability theory of aging suggesting higher initial levels of system redundancy (reserves) in individuals with protective familial/genetic background and hence lower initial mortality. Heterogeneity hypothesis is another possible explanation for the observed phenomena.
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Affiliation(s)
- Natalia S Gavrilova
- Academic Research Centers, NORC at the University of Chicago, Chicago, Illinois, USA
- Institute for Demographic Research, Federal Center of Theoretical and Applied Sociology, Russian Academy of Sciences, Moscow, Russia
| | - Leonid A Gavrilov
- Academic Research Centers, NORC at the University of Chicago, Chicago, Illinois, USA
- Institute for Demographic Research, Federal Center of Theoretical and Applied Sociology, Russian Academy of Sciences, Moscow, Russia
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3
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Zago E, Dal Molin A, Dimitri GM, Xumerle L, Pirazzini C, Bacalini MG, Maturo MG, Azevedo T, Spasov S, Gómez-Garre P, Periñán MT, Jesús S, Baldelli L, Sambati L, Calandra-Buonaura G, Garagnani P, Provini F, Cortelli P, Mir P, Trenkwalder C, Mollenhauer B, Franceschi C, Liò P, Nardini C. Early downregulation of hsa-miR-144-3p in serum from drug-naïve Parkinson's disease patients. Sci Rep 2022; 12:1330. [PMID: 35079043 PMCID: PMC8789812 DOI: 10.1038/s41598-022-05227-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 12/28/2021] [Indexed: 12/18/2022] Open
Abstract
Advanced age represents one of the major risk factors for Parkinson's Disease. Recent biomedical studies posit a role for microRNAs, also known to be remodelled during ageing. However, the relationship between microRNA remodelling and ageing in Parkinson's Disease, has not been fully elucidated. Therefore, the aim of the present study is to unravel the relevance of microRNAs as biomarkers of Parkinson's Disease within the ageing framework. We employed Next Generation Sequencing to profile serum microRNAs from samples informative for Parkinson's Disease (recently diagnosed, drug-naïve) and healthy ageing (centenarians) plus healthy controls, age-matched with Parkinson's Disease patients. Potential microRNA candidates markers, emerging from the combination of differential expression and network analyses, were further validated in an independent cohort including both drug-naïve and advanced Parkinson's Disease patients, and healthy siblings of Parkinson's Disease patients at higher genetic risk for developing the disease. While we did not find evidences of microRNAs co-regulated in Parkinson's Disease and ageing, we report that hsa-miR-144-3p is consistently down-regulated in early Parkinson's Disease patients. Moreover, interestingly, functional analysis revealed that hsa-miR-144-3p is involved in the regulation of coagulation, a process known to be altered in Parkinson's Disease. Our results consistently show the down-regulation of hsa-mir144-3p in early Parkinson's Disease, robustly confirmed across a variety of analytical and experimental analyses. These promising results ask for further research to unveil the functional details of the involvement of hsa-mir144-3p in Parkinson's Disease.
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Affiliation(s)
| | | | - Giovanna Maria Dimitri
- Computer Laboratory, Department of Computer Science and Technology, University of Cambridge, Cambridge, UK
| | | | - Chiara Pirazzini
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | | | - Maria Giovanna Maturo
- Personal Genomics S.R.L., Verona, Italy
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Tiago Azevedo
- Computer Laboratory, Department of Computer Science and Technology, University of Cambridge, Cambridge, UK
| | - Simeon Spasov
- Computer Laboratory, Department of Computer Science and Technology, University of Cambridge, Cambridge, UK
| | - Pilar Gómez-Garre
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
- Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - María Teresa Periñán
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
- Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Silvia Jesús
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
- Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Luca Baldelli
- Department of Biomedical and NeuroMotor Sciences (DiBiNeM), University of Bologna, Bologna, Italy
| | - Luisa Sambati
- Department of Biomedical and NeuroMotor Sciences (DiBiNeM), University of Bologna, Bologna, Italy
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Giovanna Calandra-Buonaura
- Department of Biomedical and NeuroMotor Sciences (DiBiNeM), University of Bologna, Bologna, Italy
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Paolo Garagnani
- Department of Experimental, Diagnostic, and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
- Clinical Chemistry, Department of Laboratory Medicine, Karolinska Institutet at Huddinge University Hospital, Stockholm, Sweden
- Alma Mater Research Institute on Global Challenges and Climate Change (Alma Climate), University of Bologna, Bologna, Italy
| | - Federica Provini
- Department of Biomedical and NeuroMotor Sciences (DiBiNeM), University of Bologna, Bologna, Italy
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Pietro Cortelli
- Department of Biomedical and NeuroMotor Sciences (DiBiNeM), University of Bologna, Bologna, Italy
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Pablo Mir
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
- Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
- Departamento de Medicina, Facultad de Medicina, Universidad de Sevilla, Seville, Spain
| | - Claudia Trenkwalder
- Paracelsus-Elena-Klinik, Kliniktstrasse 16, 34128, Kassel, Germany
- Department of Neurosurgery, University Medical Center Göttingen, Göttingen, Germany
| | - Brit Mollenhauer
- Paracelsus-Elena-Klinik, Kliniktstrasse 16, 34128, Kassel, Germany
- Department of Neurology, University Medical Center Göttingen, Göttingen, Germany
| | - Claudio Franceschi
- Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky University, Nizhny Novgorod, Russia.
| | - Pietro Liò
- Computer Laboratory, Department of Computer Science and Technology, University of Cambridge, Cambridge, UK
| | - Christine Nardini
- Personal Genomics S.R.L., Verona, Italy.
- Consiglio Nazionale delle Ricerche, Istituto per le Applicazioni del Calcolo "Mauro Picone", 00185, Rome, Italy.
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4
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Bacalini MG, Palombo F, Garagnani P, Giuliani C, Fiorini C, Caporali L, Stanzani Maserati M, Capellari S, Romagnoli M, De Fanti S, Benussi L, Binetti G, Ghidoni R, Galimberti D, Scarpini E, Arcaro M, Bonanni E, Siciliano G, Maestri M, Guarnieri B, Martucci M, Monti D, Carelli V, Franceschi C, La Morgia C, Santoro A. Association of rs3027178 polymorphism in the circadian clock gene PER1 with susceptibility to Alzheimer's disease and longevity in an Italian population. GeroScience 2021; 44:881-896. [PMID: 34921659 PMCID: PMC9135916 DOI: 10.1007/s11357-021-00477-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 10/15/2021] [Indexed: 12/11/2022] Open
Abstract
Many physiological processes in the human body follow a 24-h circadian rhythm controlled by the circadian clock system. Light, sensed by retina, is the predominant “zeitgeber” able to synchronize the circadian rhythms to the light-dark cycles. Circadian rhythm dysfunction and sleep disorders have been associated with aging and neurodegenerative diseases including mild cognitive impairment (MCI) and Alzheimer’s disease (AD). In the present study, we aimed at investigating the genetic variability of clock genes in AD patients compared to healthy controls from Italy. We also included a group of Italian centenarians, considered as super-controls in association studies given their extreme phenotype of successful aging. We analyzed the exon sequences of eighty-four genes related to circadian rhythms, and the most significant variants identified in this first discovery phase were further assessed in a larger independent cohort of AD patients by matrix assisted laser desorption/ionization-time of flight mass spectrometry. The results identified a significant association between the rs3027178 polymorphism in the PER1 circadian gene with AD, the G allele being protective for AD. Interestingly, rs3027178 showed similar genotypic frequencies among AD patients and centenarians. These results collectively underline the relevance of circadian dysfunction in the predisposition to AD and contribute to the discussion on the role of the relationship between the genetics of age-related diseases and of longevity.
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Affiliation(s)
- Maria Giulia Bacalini
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Laboratorio Brain Aging, Bologna, Italy
| | - Flavia Palombo
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Programma di Neurogenetica, Bologna, Italy
| | - Paolo Garagnani
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.,Applied Biomedical Research Center (CRBA), S. Orsola-Malpighi Polyclinic, Bologna, Italy.,CNR Institute of Molecular Genetics "Luigi Luca Cavalli-Sforza", Unit of Bologna, Bologna, Italy.,Department of Laboratory Medicine, Clinical Chemistry, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.,Alma Mater Research Institute on Global Challenges and Climate Change (Alma Climate), University of Bologna, Bologna, Italy
| | - Cristina Giuliani
- Alma Mater Research Institute on Global Challenges and Climate Change (Alma Climate), University of Bologna, Bologna, Italy.,Laboratory of Molecular Anthropology and Centre for Genome Biology, Department of Biological, Geological and Environmental Sciences, University of Bologna, Bologna, Italy
| | - Claudio Fiorini
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Programma di Neurogenetica, Bologna, Italy
| | - Leonardo Caporali
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Programma di Neurogenetica, Bologna, Italy
| | | | - Sabina Capellari
- IRCCS Istituto delle Scienze Neurologiche di Bologna, UOC Clinica Neurologica, Bologna, Italy.,Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, Bologna, Italy
| | - Martina Romagnoli
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Programma di Neurogenetica, Bologna, Italy
| | - Sara De Fanti
- Alma Mater Research Institute on Global Challenges and Climate Change (Alma Climate), University of Bologna, Bologna, Italy.,Laboratory of Molecular Anthropology and Centre for Genome Biology, Department of Biological, Geological and Environmental Sciences, University of Bologna, Bologna, Italy
| | - Luisa Benussi
- IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Giuliano Binetti
- IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Roberta Ghidoni
- IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Daniela Galimberti
- Fondazione IRCCS Ca' Granda, Ospedale Policlinico, Milan, Italy.,Dino Ferrari Center, University of Milan, Milan, Italy
| | - Elio Scarpini
- Fondazione IRCCS Ca' Granda, Ospedale Policlinico, Milan, Italy.,Dino Ferrari Center, University of Milan, Milan, Italy
| | - Marina Arcaro
- Fondazione IRCCS Ca' Granda, Ospedale Policlinico, Milan, Italy
| | - Enrica Bonanni
- Neurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Gabriele Siciliano
- Neurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Michelangelo Maestri
- Neurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Biancamaria Guarnieri
- Center of Sleep Medicine, Villa Serena Hospital and Villaserena Foundation for the Research, Città S. Angelo, Pescara, Italy
| | | | - Morena Martucci
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy
| | - Daniela Monti
- Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy
| | - Valerio Carelli
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Programma di Neurogenetica, Bologna, Italy.,Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, Bologna, Italy
| | - Claudio Franceschi
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.,Department of Applied Mathematics, Institute of Information Technology, Mathematics and Mechanics (ITMM), Lobachevsky State University of Nizhny Novgorod-National Research University (UNN), Nizhny Novgorod, Russia
| | - Chiara La Morgia
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Programma di Neurogenetica, Bologna, Italy.,IRCCS Istituto delle Scienze Neurologiche di Bologna, UOC Clinica Neurologica, Bologna, Italy
| | - Aurelia Santoro
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy. .,Alma Mater Research Institute on Global Challenges and Climate Change (Alma Climate), University of Bologna, Bologna, Italy.
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5
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Osipowicz M, Wilczynski B, Machnicka MA. Careful feature selection is key in classification of Alzheimer's disease patients based on whole-genome sequencing data. NAR Genom Bioinform 2021; 3:lqab069. [PMID: 34327330 PMCID: PMC8315124 DOI: 10.1093/nargab/lqab069] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 07/06/2021] [Accepted: 07/20/2021] [Indexed: 02/06/2023] Open
Abstract
Despite great increase of the amount of data from genome-wide association studies (GWAS) and whole-genome sequencing (WGS), the genetic background of a partially heritable Alzheimer's disease (AD) is not fully understood yet. Machine learning methods are expected to help researchers in the analysis of the large number of SNPs possibly associated with the disease onset. To date, a number of such approaches were applied to genotype-based classification of AD patients and healthy controls using GWAS data and reported accuracy of 0.65-0.975. However, since the estimated influence of genotype on sporadic AD occurrence is lower than that, these very high classification accuracies may potentially be a result of overfitting. We have explored the possibilities of applying feature selection and classification using random forests to WGS and GWAS data from two datasets. Our results suggest that this approach is prone to overfitting if feature selection is performed before division of data into the training and testing set. Therefore, we recommend avoiding selection of features used to build the model based on data included in the testing set. We suggest that for currently available dataset sizes the expected classifier performance is between 0.55 and 0.7 (AUC) and higher accuracies reported in literature are likely a result of overfitting.
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Affiliation(s)
- Marlena Osipowicz
- Institute of Informatics, Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, Warsaw, 02-097, Poland
| | - Bartek Wilczynski
- Institute of Informatics, Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, Warsaw, 02-097, Poland
| | - Magdalena A Machnicka
- Institute of Informatics, Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, Warsaw, 02-097, Poland
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6
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Tesi N, van der Lee SJ, Hulsman M, Jansen IE, Stringa N, van Schoor NM, Scheltens P, van der Flier WM, Huisman M, Reinders MJT, Holstege H. Polygenic Risk Score of Longevity Predicts Longer Survival Across an Age Continuum. J Gerontol A Biol Sci Med Sci 2021; 76:750-759. [PMID: 33216869 PMCID: PMC8087277 DOI: 10.1093/gerona/glaa289] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Indexed: 12/17/2022] Open
Abstract
Studying the genome of centenarians may give insights into the molecular mechanisms underlying extreme human longevity and the escape of age-related diseases. Here, we set out to construct polygenic risk scores (PRSs) for longevity and to investigate the functions of longevity-associated variants. Using a cohort of centenarians with maintained cognitive health (N = 343), a population-matched cohort of older adults from 5 cohorts (N = 2905), and summary statistics data from genome-wide association studies on parental longevity, we constructed a PRS including 330 variants that significantly discriminated between centenarians and older adults. This PRS was also associated with longer survival in an independent sample of younger individuals (p = .02), leading up to a 4-year difference in survival based on common genetic factors only. We show that this PRS was, in part, able to compensate for the deleterious effect of the APOE-ε4 allele. Using an integrative framework, we annotated the 330 variants included in this PRS by the genes they associate with. We find that they are enriched with genes associated with cellular differentiation, developmental processes, and cellular response to stress. Together, our results indicate that an extended human life span is, in part, the result of a constellation of variants each exerting small advantageous effects on aging-related biological mechanisms that maintain overall health and decrease the risk of age-related diseases.
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Affiliation(s)
- Niccolo' Tesi
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, The Netherlands.,Delft Bioinformatics Lab, Delft University of Technology, The Netherlands
| | - Sven J van der Lee
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, The Netherlands.,Department of Clinical Genetics, Amsterdam UMC, The Netherlands
| | - Marc Hulsman
- Delft Bioinformatics Lab, Delft University of Technology, The Netherlands.,Department of Clinical Genetics, Amsterdam UMC, The Netherlands
| | - Iris E Jansen
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, The Netherlands.,Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam UMC, The Netherlands
| | - Najada Stringa
- Department of Epidemiology and Biostatistics, Amsterdam UMC, The Netherlands.,Amsterdam Public Health Research Institute, The Netherlands
| | - Natasja M van Schoor
- Department of Epidemiology and Biostatistics, Amsterdam UMC, The Netherlands.,Amsterdam Public Health Research Institute, The Netherlands
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, The Netherlands.,Department of Epidemiology and Biostatistics, Amsterdam UMC, The Netherlands
| | - Martijn Huisman
- Department of Epidemiology and Biostatistics, Amsterdam UMC, The Netherlands.,Amsterdam Public Health Research Institute, The Netherlands
| | | | - Henne Holstege
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, The Netherlands.,Department of Clinical Genetics, Amsterdam UMC, The Netherlands
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7
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Lio D, Scola L, Giarratana RM, Candore G, Colonna-Romano G, Caruso C, Balistreri CR. SARS CoV2 infection _The longevity study perspectives. Ageing Res Rev 2021; 67:101299. [PMID: 33607290 PMCID: PMC7885677 DOI: 10.1016/j.arr.2021.101299] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2020] [Revised: 02/11/2021] [Accepted: 02/12/2021] [Indexed: 01/08/2023]
Abstract
Like other infectious diseases, COVID-19 shows a clinical outcome enormously variable, ranging from asymptomatic to lethal. In Italy, like in other countries, old male individuals, with one or more comorbidity, are the most susceptible group, and show, consequently, the highest mortality, and morbidity, including lethal respiratory distress syndrome, as the most common complication. In addition, another extraordinary peculiarity, that is a surprising resistance to COVID-19, characterizes some Italian nonagenarians/centenarians. Despite having the typical COVID-19 signs and/or symptoms, such exceptional individuals show a surprising tendency to recover from illness and complications. On the other hand, long-lived people have an optimal performance of immune system related to an overexpression of anti-inflammatory variants in immune/inflammatory genes, as demonstrated by our and other groups. Consequently, we suggest long-lived people as an optimal model for detecting genetic profiles associated with the susceptibility and/or protection to COVID-19, to utilize as potential pharmacological targets for preventing or reducing viral infection in more vulnerable individuals.
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Affiliation(s)
- Domenico Lio
- Immunosenescence Study Group, Department of Biomedicine, Neuroscience and Advanced, Diagnostics (Bi.N.D.), University of Palermo, Palermo, Italy
| | - Letizia Scola
- Immunosenescence Study Group, Department of Biomedicine, Neuroscience and Advanced, Diagnostics (Bi.N.D.), University of Palermo, Palermo, Italy; Cellular/Molecular Biology and Clinical Pathology Laboratory, Department of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D.), University of Palermo, Palermo, Italy
| | - Rosa Maria Giarratana
- Cellular/Molecular Biology and Clinical Pathology Laboratory, Department of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D.), University of Palermo, Palermo, Italy
| | - Giuseppina Candore
- Immunosenescence Study Group, Department of Biomedicine, Neuroscience and Advanced, Diagnostics (Bi.N.D.), University of Palermo, Palermo, Italy
| | - Giuseppina Colonna-Romano
- Immunosenescence Study Group, Department of Biomedicine, Neuroscience and Advanced, Diagnostics (Bi.N.D.), University of Palermo, Palermo, Italy
| | - Calogero Caruso
- Immunosenescence Study Group, Department of Biomedicine, Neuroscience and Advanced, Diagnostics (Bi.N.D.), University of Palermo, Palermo, Italy
| | - Carmela Rita Balistreri
- Immunosenescence Study Group, Department of Biomedicine, Neuroscience and Advanced, Diagnostics (Bi.N.D.), University of Palermo, Palermo, Italy; Cellular/Molecular Biology and Clinical Pathology Laboratory, Department of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D.), University of Palermo, Palermo, Italy.
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8
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Pirazzini C, Azevedo T, Baldelli L, Bartoletti-Stella A, Calandra-Buonaura G, Dal Molin A, Dimitri GM, Doykov I, Gómez-Garre P, Hägg S, Hällqvist J, Halsband C, Heywood W, Jesús S, Jylhävä J, Kwiatkowska KM, Labrador-Espinosa MA, Licari C, Maturo MG, Mengozzi G, Meoni G, Milazzo M, Periñán-Tocino MT, Ravaioli F, Sala C, Sambati L, Schade S, Schreglmann S, Spasov S, Tenori L, Williams D, Xumerle L, Zago E, Bhatia KP, Capellari S, Cortelli P, Garagnani P, Houlden H, Liò P, Luchinat C, Delledonne M, Mills K, Mir P, Mollenhauer B, Nardini C, Pedersen NL, Provini F, Strom S, Trenkwalder C, Turano P, Bacalini MG, Franceschi C. A geroscience approach for Parkinson's disease: Conceptual framework and design of PROPAG-AGEING project. Mech Ageing Dev 2021; 194:111426. [PMID: 33385396 DOI: 10.1016/j.mad.2020.111426] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 12/07/2020] [Accepted: 12/22/2020] [Indexed: 12/12/2022]
Abstract
Advanced age is the major risk factor for idiopathic Parkinson's disease (PD), but to date the biological relationship between PD and ageing remains elusive. Here we describe the rationale and the design of the H2020 funded project "PROPAG-AGEING", whose aim is to characterize the contribution of the ageing process to PD development. We summarize current evidences that support the existence of a continuum between ageing and PD and justify the use of a Geroscience approach to study PD. We focus in particular on the role of inflammaging, the chronic, low-grade inflammation characteristic of elderly physiology, which can propagate and transmit both locally and systemically. We then describe PROPAG-AGEING design, which is based on the multi-omic characterization of peripheral samples from clinically characterized drug-naïve and advanced PD, PD discordant twins, healthy controls and "super-controls", i.e. centenarians, who never showed clinical signs of motor disability, and their offspring. Omic results are then validated in a large number of samples, including in vitro models of dopaminergic neurons and healthy siblings of PD patients, who are at higher risk of developing PD, with the final aim of identifying the molecular perturbations that can deviate the trajectories of healthy ageing towards PD development.
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Affiliation(s)
- Chiara Pirazzini
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Tiago Azevedo
- Department of Computer Science and Technology, University of Cambridge, Cambridge, United Kingdom
| | - Luca Baldelli
- Department of Biomedical and NeuroMotor Sciences (DiBiNeM), University of Bologna, Italy
| | | | - Giovanna Calandra-Buonaura
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy; Department of Biomedical and NeuroMotor Sciences (DiBiNeM), University of Bologna, Italy
| | | | - Giovanna Maria Dimitri
- Department of Computer Science and Technology, University of Cambridge, Cambridge, United Kingdom
| | - Ivan Doykov
- Centre for Inborn Errors of Metabolism, UCL Institute of Child Health, London, United Kingdom
| | - Pilar Gómez-Garre
- Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Unidad de Trastornos del Movimiento, Servicio de Neurología y NeurofisiologíaClínica, Instituto de Biomedicina de Sevilla, Seville, Spain; Centro de Investigación Biomédicaen Red sobreEnfermedades Neurodegenerativas (CIBERNED), Spain
| | - Sara Hägg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Jenny Hällqvist
- Centre for Inborn Errors of Metabolism, UCL Institute of Child Health, London, United Kingdom
| | - Claire Halsband
- Department of Clinical Neurophysiology, University Medical Center Göttingen, Göttingen, Germany; Department of Gerontopsychiatry, Rhein-Mosel-Fachklinik, Andernach, Germany
| | - Wendy Heywood
- Centre for Inborn Errors of Metabolism, UCL Institute of Child Health, London, United Kingdom; NIHR Great Ormond Street Biomedical Research Centre, Great Ormond Street Hospital and UCL Great Ormond Street Institute of Child Health, London, United Kingdom
| | - Silvia Jesús
- Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Unidad de Trastornos del Movimiento, Servicio de Neurología y NeurofisiologíaClínica, Instituto de Biomedicina de Sevilla, Seville, Spain; Centro de Investigación Biomédicaen Red sobreEnfermedades Neurodegenerativas (CIBERNED), Spain
| | - Juulia Jylhävä
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | | | - Miguel A Labrador-Espinosa
- Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Unidad de Trastornos del Movimiento, Servicio de Neurología y NeurofisiologíaClínica, Instituto de Biomedicina de Sevilla, Seville, Spain; Centro de Investigación Biomédicaen Red sobreEnfermedades Neurodegenerativas (CIBERNED), Spain
| | - Cristina Licari
- CERM, University of Florence, Sesto Fiorentino, Florence, Italy
| | - Maria Giovanna Maturo
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Giacomo Mengozzi
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | | | - Maddalena Milazzo
- Department of Experimental, Diagnostic, and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
| | - Maria Teresa Periñán-Tocino
- Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Unidad de Trastornos del Movimiento, Servicio de Neurología y NeurofisiologíaClínica, Instituto de Biomedicina de Sevilla, Seville, Spain; Centro de Investigación Biomédicaen Red sobreEnfermedades Neurodegenerativas (CIBERNED), Spain
| | - Francesco Ravaioli
- Department of Experimental, Diagnostic, and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
| | - Claudia Sala
- Department of Physics and Astronomy, University of Bologna, Bologna, Italy
| | - Luisa Sambati
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy; Department of Biomedical and NeuroMotor Sciences (DiBiNeM), University of Bologna, Italy
| | - Sebastian Schade
- Department of Clinical Neurophysiology, University Medical Center Göttingen, Göttingen, Germany
| | - Sebastian Schreglmann
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Simeon Spasov
- Department of Computer Science and Technology, University of Cambridge, Cambridge, United Kingdom
| | - Leonardo Tenori
- Consorzio Interuniversitario Risonanze Magnetiche di Metalloproteine (CIRMMP), Florence, Italy
| | - Dylan Williams
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | | | | | - Kailash P Bhatia
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Sabina Capellari
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy; Department of Biomedical and NeuroMotor Sciences (DiBiNeM), University of Bologna, Italy
| | - Pietro Cortelli
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy; Department of Biomedical and NeuroMotor Sciences (DiBiNeM), University of Bologna, Italy
| | - Paolo Garagnani
- Department of Experimental, Diagnostic, and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
| | - Henry Houlden
- Department of Neuromuscular Disorders, UCL Queen Square Institute of Neurology, London, WC1N 3BG, United Kingdom
| | - Pietro Liò
- Department of Computer Science and Technology, University of Cambridge, Cambridge, United Kingdom
| | - Claudio Luchinat
- CERM, University of Florence, Sesto Fiorentino, Florence, Italy; Department of Chemistry "Ugo Schiff", University of Florence, Italy
| | | | - Kevin Mills
- Centre for Inborn Errors of Metabolism, UCL Institute of Child Health, London, United Kingdom; NIHR Great Ormond Street Biomedical Research Centre, Great Ormond Street Hospital and UCL Great Ormond Street Institute of Child Health, London, United Kingdom
| | - Pablo Mir
- Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Unidad de Trastornos del Movimiento, Servicio de Neurología y NeurofisiologíaClínica, Instituto de Biomedicina de Sevilla, Seville, Spain; Centro de Investigación Biomédicaen Red sobreEnfermedades Neurodegenerativas (CIBERNED), Spain
| | - Brit Mollenhauer
- Paracelsus-Elena-Klinik, Kassel, Germany; Department of Neurology, University Medical Centre Goettingen, Goettingen, Germany
| | - Christine Nardini
- Istituto per le Applicazioni del Calcolo Mauro Picone, CNR, Roma, Italy
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Federica Provini
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy; Department of Biomedical and NeuroMotor Sciences (DiBiNeM), University of Bologna, Italy
| | - Stephen Strom
- Department of Laboratory Medicine, Karolinska Institute and Karolinska Universitetssjukhuset, 171 76, Stockholm, Sweden
| | - Claudia Trenkwalder
- Paracelsus-Elena-Klinik, Kassel, Germany; Department of Neurosurgery, University Medical Center Göttingen, Germany
| | - Paola Turano
- CERM, University of Florence, Sesto Fiorentino, Florence, Italy; Department of Chemistry "Ugo Schiff", University of Florence, Italy
| | | | - Claudio Franceschi
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy; Laboratory of Systems Medicine of Healthy Aging and Department of Applied Mathematics, Lobachevsky University, Nizhny Novgorod, Russia
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9
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Dato S, Crocco P, De Rango F, Iannone F, Maletta R, Bruni AC, Saiardi A, Rose G, Passarino G. IP6K3 and IPMK variations in LOAD and longevity: Evidence for a multifaceted signaling network at the crossroad between neurodegeneration and survival. Mech Ageing Dev 2021; 195:111439. [PMID: 33497757 DOI: 10.1016/j.mad.2021.111439] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 12/23/2020] [Accepted: 01/18/2021] [Indexed: 12/18/2022]
Abstract
Several studies reported that genetic variants predisposing to neurodegeneration were at higher frequencies in centenarians than in younger controls, suggesting they might favor also longevity. IP6K3 and IPMK regulate many crucial biological functions by mediating synthesis of inositol poly- and pyrophosphates and by acting non-enzymatically via protein-protein interactions. Our previous studies suggested they affect Late Onset Alzheimer Disease (LOAD) and longevity, respectively. Here, in the same sample groups, we investigated whether variants of IP6K3 also affect longevity, and variants of IPMK also influence LOAD susceptibility. We found that: i) a SNP of IP6K3 previously associated with increased risk of LOAD increased the chance to become long-lived, ii) SNPs of IPMK, previously associated with decreased longevity, were protective factors for LOAD, as previously observed for UCP4. SNP-SNP interaction analysis, including our previous data, highlighted phenotype-specific interactions between sets of alleles. Moreover, linkage disequilibrium and eQTL data associated to analyzed variants suggested mitochondria as crossroad of interconnected pathways crucial for susceptibility to neurodegeneration and/or longevity. Overall, data support the view that in these traits interactions may be more important than single polymorphisms. This phenomenon may contribute to the non-additive heritability of neurodegeneration and longevity and be part of the missing heritability of these traits.
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Affiliation(s)
- Serena Dato
- Department of Biology, Ecology and Earth Sciences, University of Calabria, Rende, Italy.
| | - Paolina Crocco
- Department of Biology, Ecology and Earth Sciences, University of Calabria, Rende, Italy.
| | - Francesco De Rango
- Department of Biology, Ecology and Earth Sciences, University of Calabria, Rende, Italy.
| | - Francesca Iannone
- Department of Biology, Ecology and Earth Sciences, University of Calabria, Rende, Italy.
| | - Raffaele Maletta
- Regional Neurogenetic Centre, ASP Catanzaro, Lamezia Terme, Italy.
| | - Amalia C Bruni
- Regional Neurogenetic Centre, ASP Catanzaro, Lamezia Terme, Italy.
| | - Adolfo Saiardi
- Medical Research Council Laboratory for Molecular Cell Biology, University College London, London, UK.
| | - Giuseppina Rose
- Department of Biology, Ecology and Earth Sciences, University of Calabria, Rende, Italy.
| | - Giuseppe Passarino
- Department of Biology, Ecology and Earth Sciences, University of Calabria, Rende, Italy.
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10
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Abstract
The majority of research to understand the pathogenesis of and contributors to Alzheimer’s disease (AD) pathology, dementia, and disease progression has focused on studying individuals who have the disease or are at increased risk of having the disease. Yet there may be much to learn from individuals who have a paradoxical decreased risk of AD suggesting underlying protective factors. Centenarians demonstrate exceptional longevity that for a subset of the cohort is associated with an increased health span characterized by the delay or escape of age-related diseases including dementia. Here, I give evidence of the association of exceptional longevity with resistance and resilience to AD and describe how cohorts of centenarians and their offspring may serve as models of neuroprotection from AD. Discoveries of novel genetic, environmental, and behavioral factors that are associated with a decreased risk of AD may inform the development of interventions to slow or prevent AD in the general population. Centenarian cohorts may also be instrumental in serving as controls to individuals with AD to identify additional risk factors.
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11
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The Experimental Pathology at Ancona: 50 Years of Exciting and Pioneering Research on Human Pathology. THE FIRST OUTSTANDING 50 YEARS OF “UNIVERSITÀ POLITECNICA DELLE MARCHE” 2020. [PMCID: PMC7120276 DOI: 10.1007/978-3-030-33832-9_4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Half century ago, a few academic pioneers founded the laboratories of experimental and ultrastructural pathology in Ancona. From this origin, a new phase of experimental studies developed aimed at translational and clinical research up to the present, when our group is internationally recognized for its fundamental contributions in gerontological research and molecular diagnostic pathology. Since the desire of immortality and of eternal youth seems to be as old as mankind, in the future we plan to focus our scientific research on Regenerative Medicine and Rejuvenation strategies. This is the most ambitious aim in the framework of the world aging population. We do not know whether we would achieve these results by ourselves. We are confident that, as in the past, new generations of scientist of the school of experimental pathology at Ancona will get the baton by the older one and lead the future with the same enthusiasm, love and commitment.
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12
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Giuliani C, Sazzini M, Pirazzini C, Bacalini MG, Marasco E, Ruscone GAG, Fang F, Sarno S, Gentilini D, Di Blasio AM, Crocco P, Passarino G, Mari D, Monti D, Nacmias B, Sorbi S, Salvarani C, Catanoso M, Pettener D, Luiselli D, Ukraintseva S, Yashin A, Franceschi C, Garagnani P. Impact of demography and population dynamics on the genetic architecture of human longevity. Aging (Albany NY) 2019; 10:1947-1963. [PMID: 30089705 PMCID: PMC6128422 DOI: 10.18632/aging.101515] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Accepted: 07/26/2018] [Indexed: 02/07/2023]
Abstract
The study of the genetics of longevity has been mainly addressed by GWASs that considered subjects from different populations to reach higher statistical power. The "price to pay" is that population-specific evolutionary histories and trade-offs were neglected in the investigation of gene-environment interactions. We propose a new “diachronic” approach that considers processes occurred at both evolutionary and lifespan timescales. We focused on a well-characterized population in terms of evolutionary history (i.e. Italians) and we generated genome-wide data for 333 centenarians from the peninsula and 773 geographically-matched healthy individuals. Obtained results showed that: (i) centenarian genomes are enriched for an ancestral component likely shaped by pre-Neolithic migrations; (ii) centenarians born in Northern Italy unexpectedly clustered with controls from Central/Southern Italy suggesting that Neolithic and Bronze Age gene flow did not favor longevity in this population; (iii) local past adaptive events in response to pathogens and targeting arachidonic acid metabolism became favorable for longevity; (iv) lifelong changes in the frequency of several alleles revealed pleiotropy and trade-off mechanisms crucial for longevity. Therefore, we propose that demographic history and ancient/recent population dynamics need to be properly considered to identify genes involved in longevity, which can differ in different temporal/spatial settings.
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Affiliation(s)
- Cristina Giuliani
- Department of Biological, Geological, and Environmental Sciences (BiGeA), Laboratory of Molecular Anthropology and Centre for Genome Biology, University of Bologna, Bologna, Italy.,School of Anthropology and Museum Ethnography, University of Oxford, Oxford, UK.,Interdepartmental Center "L. Galvani," (CIG), University of Bologna, Bologna, Italy
| | - Marco Sazzini
- Department of Biological, Geological, and Environmental Sciences (BiGeA), Laboratory of Molecular Anthropology and Centre for Genome Biology, University of Bologna, Bologna, Italy
| | - Chiara Pirazzini
- IRCCS, Institute of Neurological Sciences of Bologna, Bologna, Italy
| | | | - Elena Marasco
- Interdepartmental Center "L. Galvani," (CIG), University of Bologna, Bologna, Italy.,Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy.,Applied Biomedical Research Center (CRBA), S. Orsola-Malpighi Polyclinic, Bologna, Italy
| | - Guido Alberto Gnecchi Ruscone
- Department of Biological, Geological, and Environmental Sciences (BiGeA), Laboratory of Molecular Anthropology and Centre for Genome Biology, University of Bologna, Bologna, Italy
| | - Fang Fang
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC 27708, USA
| | - Stefania Sarno
- Department of Biological, Geological, and Environmental Sciences (BiGeA), Laboratory of Molecular Anthropology and Centre for Genome Biology, University of Bologna, Bologna, Italy
| | - Davide Gentilini
- Istituto Auxologico Italiano IRCCS, Cusano Milanino, Milan, Italy
| | | | - Paolina Crocco
- Department of Biology, Ecology and Earth Sciences, University of Calabria, Rende, Italy
| | - Giuseppe Passarino
- Department of Biology, Ecology and Earth Sciences, University of Calabria, Rende, Italy
| | - Daniela Mari
- Geriatric Unit, Department of Medical Sciences and Community Health, Milan, Italy.,Fondazione Ca' Granda, IRCCS Ospedale Maggiore Policlinico, Milan, Italy
| | - Daniela Monti
- Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy
| | - Benedetta Nacmias
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Sandro Sorbi
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy.,IRCCS Don Gnocchi, Florence, Italy
| | - Carlo Salvarani
- Azienda Ospedaliera-IRCCS, Reggio Emilia, Italy.,Department of Surgical, Medical, Dental and Morphological Sciences with Interest Transplant, Oncological and Regenerative Medicine, , Italy
| | | | - Davide Pettener
- Department of Biological, Geological, and Environmental Sciences (BiGeA), Laboratory of Molecular Anthropology and Centre for Genome Biology, University of Bologna, Bologna, Italy
| | - Donata Luiselli
- Department for the Cultural Heritage (DBC), University of Bologna, Ravenna, Italy
| | - Svetlana Ukraintseva
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC 27708, USA
| | - Anatoliy Yashin
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC 27708, USA
| | - Claudio Franceschi
- IRCCS, Institute of Neurological Sciences of Bologna, Bologna, Italy.,Co-senior authors
| | - Paolo Garagnani
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy.,Clinical Chemistry, Department of Laboratory Medicine, Karolinska Institutet at Huddinge University Hospital, S-141 86 Stockholm, Sweden.,CNR Institute of Molecular Genetics, Unit of Bologna, Bologna, Italy.,Rizzoli Orthopaedic Institute, Laboratory of Cell Biology, Bologna, Italy.,Co-senior authors
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13
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Giuliani C, Garagnani P, Franceschi C. Genetics of Human Longevity Within an Eco-Evolutionary Nature-Nurture Framework. Circ Res 2019; 123:745-772. [PMID: 30355083 DOI: 10.1161/circresaha.118.312562] [Citation(s) in RCA: 53] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Human longevity is a complex trait, and to disentangle its basis has a great theoretical and practical consequences for biomedicine. The genetics of human longevity is still poorly understood despite several investigations that used different strategies and protocols. Here, we argue that such rather disappointing harvest is largely because of the extraordinary complexity of the longevity phenotype in humans. The capability to reach the extreme decades of human lifespan seems to be the result of an intriguing mixture of gene-environment interactions. Accordingly, the genetics of human longevity is here described as a highly context-dependent phenomenon, within a new integrated, ecological, and evolutionary perspective, and is presented as a dynamic process, both historically and individually. The available literature has been scrutinized within this perspective, paying particular attention to factors (sex, individual biography, family, population ancestry, social structure, economic status, and education, among others) that have been relatively neglected. The strength and limitations of the most powerful and used tools, such as genome-wide association study and whole-genome sequencing, have been discussed, focusing on prominently emerged genes and regions, such as apolipoprotein E, Forkhead box O3, interleukin 6, insulin-like growth factor-1, chromosome 9p21, 5q33.3, and somatic mutations among others. The major results of this approach suggest that (1) the genetics of longevity is highly population specific; (2) small-effect alleles, pleiotropy, and the complex allele timing likely play a major role; (3) genetic risk factors are age specific and need to be integrated in the light of the geroscience perspective; (4) a close relationship between genetics of longevity and genetics of age-related diseases (especially cardiovascular diseases) do exist. Finally, the urgent need of a global approach to the largely unexplored interactions between the 3 genetics of human body, that is, nuclear, mitochondrial, and microbiomes, is stressed. We surmise that the comprehensive approach here presented will help in increasing the above-mentioned harvest.
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Affiliation(s)
- Cristina Giuliani
- From the Department of Biological, Geological, and Environmental Sciences (BiGeA), Laboratory of Molecular Anthropology and Centre for Genome Biology (C.G.), University of Bologna, Italy.,School of Anthropology and Museum Ethnography, University of Oxford, United Kingdom (C.G.).,Interdepartmental Centre 'L. Galvani' (CIG), University of Bologna, Italy (C.G.)
| | - Paolo Garagnani
- Department of Experimental, Diagnostic, and Specialty Medicine (DIMES) (P.G.), University of Bologna, Italy.,Clinical Chemistry, Department of Laboratory Medicine, Karolinska Institutet at Huddinge University Hospital, Stockholm, Sweden (P.G.)
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Genes associated with Type 2 Diabetes and vascular complications. Aging (Albany NY) 2019; 10:178-196. [PMID: 29410390 PMCID: PMC5842840 DOI: 10.18632/aging.101375] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2017] [Accepted: 01/30/2018] [Indexed: 12/20/2022]
Abstract
Type 2 Diabetes (T2D) is a chronic disease associated with a number of micro- and macrovascular complications that increase the morbidity and mortality of patients. The risk of diabetic complications has a strong genetic component. To this end, we sought to evaluate the association of 40 single nucleotide polymorphisms (SNPs) in 21 candidate genes with T2D and its vascular complications in 503 T2D patients and 580 healthy controls. The genes were chosen because previously reported to be associated with T2D complications and/or with the aging process. We replicated the association of T2D risk with IGF2BP rs4402960 and detected novel associations with TERT rs2735940 and rs2736098. The addition of these SNPs to a model including traditional risk factors slightly improved risk prediction. After stratification of patients according to the presence/absence of vascular complications, we found significant associations of variants in the CAT, FTO, and UCP1 genes with diabetic retinopathy and nephropathy. Additionally, a variant in the ADIPOQ gene was found associated with macrovascular complications. Notably, these genes are involved in some way in mitochondrial biology and reactive oxygen species regulation. Hence, our findings strongly suggest a potential link between mitochondrial oxidative homeostasis and individual predisposition to diabetic vascular complications.
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15
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Valoti E, Alberti M, Iatropoulos P, Piras R, Mele C, Breno M, Cremaschi A, Bresin E, Donadelli R, Alizzi S, Amoroso A, Benigni A, Remuzzi G, Noris M. Rare Functional Variants in Complement Genes and Anti-FH Autoantibodies-Associated aHUS. Front Immunol 2019; 10:853. [PMID: 31118930 PMCID: PMC6504697 DOI: 10.3389/fimmu.2019.00853] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Accepted: 04/02/2019] [Indexed: 01/06/2023] Open
Abstract
Atypical hemolytic uremic syndrome (aHUS) is a rare disease characterized by microangiopathic hemolytic anemia, thrombocytopenia and renal failure. It is caused by genetic or acquired defects of the complement alternative pathway. Factor H autoantibodies (anti-FHs) have been reported in 10% of aHUS patients and are associated with the deficiency of factor H-related 1 (FHR1). However, FHR1 deficiency is not enough to cause aHUS, since it is also present in about 5% of Caucasian healthy subjects. In this study we evaluated the prevalence of genetic variants in CFH, CD46, CFI, CFB, C3, and THBD in aHUS patients with anti-FHs, using healthy subjects with FHR1 deficiency, here defined “supercontrols,” as a reference group. “Supercontrols” are more informative than general population because they share at least one risk factor (FHR1 deficiency) with aHUS patients. We analyzed anti-FHs in 305 patients and 30 were positive. The large majority were children (median age: 7.7 [IQR, 6.6–9.9] years) and 83% lacked FHR1 (n = 25, cases) due to the homozygous CFHR3-CFHR1 deletion (n = 20), or the compound heterozygous CFHR3-CFHR1 and CFHR1-CFHR4 deletions (n = 4), or the heterozygous CFHR3-CFHR1 deletion combined with a frameshift mutation in CFHR1 that generates a premature stop codon (n = 1). Of the 960 healthy adult subjects 48 had the FHR1 deficiency (“supercontrols”). Rare likely pathogenetic variants in CFH, THBD, and C3 were found in 24% of cases (n = 6) compared to 2.1% of the “supercontrols” (P-value = 0.005). We also found that the CFH H3 and the CD46GGAAC haplotypes are not associated with anti-FHs aHUS, whereas these haplotypes are enriched in aHUS patients without anti-FHs, which highlights the differences in the genetic basis of the two forms of the disease. Finally, we confirm that common infections are environmental factors that contribute to the development of anti-FHs aHUS in genetically predisposed individuals, which fits with the sharp peak of incidence during scholar-age. Further studies are needed to fully elucidate the complex genetic and environmental factors underlying anti-FHs aHUS and to establish whether the combination of anti-FHs with likely pathogenetic variants or other risk factors influences disease outcome and response to therapies.
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Affiliation(s)
- Elisabetta Valoti
- Clinical Research Center for Rare Diseases 'Aldo e Cele Daccò', Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy
| | - Marta Alberti
- Clinical Research Center for Rare Diseases 'Aldo e Cele Daccò', Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy
| | - Paraskevas Iatropoulos
- Clinical Research Center for Rare Diseases 'Aldo e Cele Daccò', Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy
| | - Rossella Piras
- Clinical Research Center for Rare Diseases 'Aldo e Cele Daccò', Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy
| | - Caterina Mele
- Clinical Research Center for Rare Diseases 'Aldo e Cele Daccò', Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy
| | - Matteo Breno
- Clinical Research Center for Rare Diseases 'Aldo e Cele Daccò', Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy
| | - Alessandra Cremaschi
- Clinical Research Center for Rare Diseases 'Aldo e Cele Daccò', Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy
| | - Elena Bresin
- Clinical Research Center for Rare Diseases 'Aldo e Cele Daccò', Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy
| | - Roberta Donadelli
- Clinical Research Center for Rare Diseases 'Aldo e Cele Daccò', Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy
| | - Silvia Alizzi
- Azienda Ospedaliera-Universitaria, Città della Salute e della Scienza and Department of Medical Sciences, University of Turin, Turin, Italy
| | - Antonio Amoroso
- Azienda Ospedaliera-Universitaria, Città della Salute e della Scienza and Department of Medical Sciences, University of Turin, Turin, Italy
| | - Ariela Benigni
- Clinical Research Center for Rare Diseases 'Aldo e Cele Daccò', Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy
| | - Giuseppe Remuzzi
- Clinical Research Center for Rare Diseases 'Aldo e Cele Daccò', Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy.,'L. Sacco' Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Marina Noris
- Clinical Research Center for Rare Diseases 'Aldo e Cele Daccò', Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy
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Postolache TT, del Bosque-Plata L, Jabbour S, Vergare M, Wu R, Gragnoli C. Co-shared genetics and possible risk gene pathway partially explain the comorbidity of schizophrenia, major depressive disorder, type 2 diabetes, and metabolic syndrome. Am J Med Genet B Neuropsychiatr Genet 2019; 180:186-203. [PMID: 30729689 PMCID: PMC6492942 DOI: 10.1002/ajmg.b.32712] [Citation(s) in RCA: 60] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2018] [Revised: 11/16/2018] [Accepted: 12/07/2018] [Indexed: 12/20/2022]
Abstract
Schizophrenia (SCZ) and major depressive disorder (MDD) in treatment-naive patients are associated with increased risk for type 2 diabetes (T2D) and metabolic syndrome (MetS). SCZ, MDD, T2D, and MetS are often comorbid and their comorbidity increases cardiovascular risk: Some risk genes are likely co-shared by them. For instance, transcription factor 7-like 2 (TCF7L2) and proteasome 26S subunit, non-ATPase 9 (PSMD9) are two genes independently reported as contributing to T2D and SCZ, and PSMD9 to MDD as well. However, there are scarce data on the shared genetic risk among SCZ, MDD, T2D, and/or MetS. Here, we briefly describe T2D, MetS, SCZ, and MDD and their genetic architecture. Next, we report separately about the comorbidity of SCZ and MDD with T2D and MetS, and their respective genetic overlap. We propose a novel hypothesis that genes of the prolactin (PRL)-pathway may be implicated in the comorbidity of these disorders. The inherited predisposition of patients with SCZ and MDD to psychoneuroendocrine dysfunction may confer increased risk of T2D and MetS. We illustrate a strategy to identify risk variants in each disorder and in their comorbid psychoneuroendocrine and mental-metabolic dysfunctions, advocating for studies of genetically homogeneous and phenotype-rich families. The results will guide future studies of the shared predisposition and molecular genetics of new homogeneous endophenotypes of SCZ, MDD, and metabolic impairment.
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Affiliation(s)
- Teodor T. Postolache
- Department of Psychiatry, Mood and Anxiety Program, University of Maryland School of Medicine, Baltimore, Maryland,Rocky Mountain Mental Illness Research Education and Clinical Center (MIRECC), Veterans Integrated Service Network (VISN) 19, Military and Veteran Microbiome: Consortium for Research and Education (MVM-CoRE), Denver, Colorado,Mental Illness Research Education and Clinical Center (MIRECC), Veterans Integrated Service Network (VISN) 5, VA Capitol Health Care Network, Baltimore, Maryland
| | - Laura del Bosque-Plata
- National Institute of Genomic Medicine, Nutrigenetics and Nutrigenomic Laboratory, Mexico City, Mexico
| | - Serge Jabbour
- Department of Medicine, Division of Endocrinology, Diabetes, and Metabolic Disease, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Michael Vergare
- Department of Psychiatry and Human Behavior, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Rongling Wu
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania,Department of Statistics, Penn State College of Medicine, Hershey, Pennsylvania
| | - Claudia Gragnoli
- Department of Medicine, Division of Endocrinology, Diabetes, and Metabolic Disease, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania,Department of Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania,Molecular Biology Laboratory, Bios Biotech Multi-Diagnostic Health Center, Rome, Italy
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Abstract
All people want to age "successfully," maintaining functional capacity and quality of life as they reach advanced age. Achieving this goal depends on preserving optimal cognitive and brain functioning. Yet, significant individual differences exist in this regard. Some older adults continue to retain most cognitive abilities throughout their lifetime. Others experience declines in cognitive and functional capacity that range from mild decrements in certain cognitive functions over time to severe dementia among those with neurodegenerative diseases. Even among relatively healthy "successful agers," certain cognitive functions are reduced from earlier levels. This is particularly true for cognitive functions that are dependent on cognitive processing speed and efficiency. Working memory and executive and attentional functions tend to be most vulnerable. Learning and memory functions are also usually reduced, although in the absence of neurodegenerative disease learning and retrieval efficiency rather than memory storage are affected. Other functions, such as visual perception, language, semantics, and knowledge, are often well preserved. Structural, functional, and physiologic/metabolic brain changes correspond with age-associated cognitive decline. Physiologic and metabolic mechanisms, such as oxidative stress and neuroinflammation, may contribute to these changes, along with the contribution of comorbidities that secondarily affect the brain of older adults. Cognitive frailty often corresponds with physical frailty, both affected by multiple exogenous and endogenous factors. Neuropsychologic assessment provides a way of measuring the cognitive and functional status of older adults, which is useful for monitoring changes that may be occurring. Neuroimaging is also useful for characterizing age-associated structural, functional, physiologic, and metabolic brain changes, including alterations in cerebral blood flow and metabolite concentrations. Some interventions that may enhance cognitive function, such as cognitive training, neuromodulation, and pharmacologic approaches, exist or are being developed. Yet, preventing, slowing, and reversing the adverse effects of cognitive aging remains a challenge.
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Affiliation(s)
- Ronald A Cohen
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, United States; Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, United States.
| | - Michael M Marsiske
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, United States; Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, United States
| | - Glenn E Smith
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, United States; Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, United States
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Centenarian controls increase variant effect sizes by an average twofold in an extreme case-extreme control analysis of Alzheimer's disease. Eur J Hum Genet 2018; 27:244-253. [PMID: 30258121 PMCID: PMC6336855 DOI: 10.1038/s41431-018-0273-5] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2018] [Revised: 07/13/2018] [Accepted: 08/09/2018] [Indexed: 12/12/2022] Open
Abstract
The detection of genetic loci associated with Alzheimer's disease (AD) requires large numbers of cases and controls because variant effect sizes are mostly small. We hypothesized that variant effect sizes should increase when individuals who represent the extreme ends of a disease spectrum are considered, as their genomes are assumed to be maximally enriched or depleted with disease-associated genetic variants. We used 1,073 extensively phenotyped AD cases with relatively young age at onset as extreme cases (66.3 ± 7.9 years), 1,664 age-matched controls (66.0 ± 6.5 years) and 255 cognitively healthy centenarians as extreme controls (101.4 ± 1.3 years). We estimated the effect size of 29 variants that were previously associated with AD in genome-wide association studies. Comparing extreme AD cases with centenarian controls increased the variant effect size relative to published effect sizes by on average 1.90-fold (SE = 0.29, p = 9.0 × 10-4). The effect size increase was largest for the rare high-impact TREM2 (R74H) variant (6.5-fold), and significant for variants in/near ECHDC3 (4.6-fold), SLC24A4-RIN3 (4.5-fold), NME8 (3.8-fold), PLCG2 (3.3-fold), APOE-ε2 (2.2-fold), and APOE-ε4 (twofold). Comparing extreme phenotypes enabled us to replicate the AD association for 10 variants (p < 0.05) in relatively small samples. The increase in effect sizes depended mainly on using centenarians as extreme controls: the average variant effect size was not increased in a comparison of extreme AD cases and age-matched controls (0.94-fold, p = 6.8 × 10-1), suggesting that on average the tested genetic variants did not explain the extremity of the AD cases. Concluding, using centenarians as extreme controls in AD case-control studies boosts the variant effect size by on average twofold, allowing the replication of disease-association in relatively small samples.
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Franzke B, Schober-Halper B, Hofmann M, Oesen S, Tosevska A, Henriksen T, Poulsen HE, Strasser EM, Wessner B, Wagner KH. Age and the effect of exercise, nutrition and cognitive training on oxidative stress - The Vienna Active Aging Study (VAAS), a randomized controlled trial. Free Radic Biol Med 2018; 121:69-77. [PMID: 29698742 DOI: 10.1016/j.freeradbiomed.2018.04.565] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2017] [Revised: 04/18/2018] [Accepted: 04/21/2018] [Indexed: 12/31/2022]
Abstract
The purpose of this study was to investigated the effect of age - over or under life-expectancy (LE) - on six months resistance training alone or combined with a nutritional supplement, and cognitive training by analyzing markers for oxidative stress and antioxidant defense in institutionalized elderly, living in Vienna. Three groups (n = 117, age = 83.1 ± 6.1 years) - resistance training (RT), RT combined with protein and vitamin supplementation (RTS) or cognitive training (CT) - performed two guided training sessions per week for six months. Oxidative stress, antioxidant defense and DNA strand breaks were analyzed and transformed into an "antioxidant factor" to compare the total effect of the intervention. Physical fitness was assessed by the 6-min-walking, the chair-rise and the handgrip strength tests. We observed significant negative baseline correlations between 8-oxo-7.8-dihydroguanosine and handgrip strength (r = -0.350, p = 0.001), and between high sensitive troponin-T and the 6-min-walking test (r = -0.210, p = 0.035). RT and RTS groups, showed significant improvements in physical performance. Over LE, subjects of the RT group demonstrated a significant greater response in the "antioxidant factor" compared to RTS and CT (RT vs. RTS p = 0.033, RT vs. CT p = 0.028), whereas no difference was observed between the intervention groups under LE. Six months of elastic band resistance training lead to improvements in antioxidant defense, DNA stability and oxidative damage, summarized in the "antioxidant factor", however mainly in subjects over their statistical LE. Consuming a supplement containing antioxidants might inhibit optimal cellular response to exercise. The study was approved by the ethics committee of the City of Vienna (EK-11-151-0811) and registered at ClinicalTrials.gov, NCT01775111.
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Affiliation(s)
- Bernhard Franzke
- University of Vienna, Research Platform Active Ageing, Althanstraße 14, 1090 Vienna, Austria.
| | - Barbara Schober-Halper
- University of Vienna, Research Platform Active Ageing, Althanstraße 14, 1090 Vienna, Austria
| | - Marlene Hofmann
- University of Vienna, Research Platform Active Ageing, Althanstraße 14, 1090 Vienna, Austria
| | - Stefan Oesen
- University of Vienna, Research Platform Active Ageing, Althanstraße 14, 1090 Vienna, Austria
| | - Anela Tosevska
- University of Vienna, Research Platform Active Ageing, Althanstraße 14, 1090 Vienna, Austria
| | - Trine Henriksen
- Laboratory of Clinical Pharmacology Q7642, Rigshospitalet, Blegdamsvej 9, DK-2200 Copenhagen, Denmark
| | - Henrik E Poulsen
- Laboratory of Clinical Pharmacology Q7642, Rigshospitalet, Blegdamsvej 9, DK-2200 Copenhagen, Denmark
| | - Eva-Maria Strasser
- Karl Landsteiner Institute for Remobilization and functional health/ Institute for Physical Medicine and Rehabilitation, Kaiser Franz Joseph Spital, SMZ-Süd, Kundratstraße 3, 1100 Vienna, Austria
| | - Barbara Wessner
- University of Vienna, Research Platform Active Ageing, Althanstraße 14, 1090 Vienna, Austria; University of Vienna, Centre for Sport Science and University Sports, Department of Sport and Exercise Physiology, Auf der Schmelz 6, 1150 Vienna, Austria
| | - Karl-Heinz Wagner
- University of Vienna, Research Platform Active Ageing, Althanstraße 14, 1090 Vienna, Austria; University of Vienna, Faculty of Life Sciences, Department of Nutritional Sciences, Althanstraße 14, 1090 Vienna, Austria
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Rea IM, Gibson DS, McGilligan V, McNerlan SE, Alexander HD, Ross OA. Age and Age-Related Diseases: Role of Inflammation Triggers and Cytokines. Front Immunol 2018; 9:586. [PMID: 29686666 PMCID: PMC5900450 DOI: 10.3389/fimmu.2018.00586] [Citation(s) in RCA: 675] [Impact Index Per Article: 112.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2017] [Accepted: 03/08/2018] [Indexed: 12/11/2022] Open
Abstract
Cytokine dysregulation is believed to play a key role in the remodeling of the immune system at older age, with evidence pointing to an inability to fine-control systemic inflammation, which seems to be a marker of unsuccessful aging. This reshaping of cytokine expression pattern, with a progressive tendency toward a pro-inflammatory phenotype has been called "inflamm-aging." Despite research there is no clear understanding about the causes of "inflamm-aging" that underpin most major age-related diseases, including atherosclerosis, diabetes, Alzheimer's disease, rheumatoid arthritis, cancer, and aging itself. While inflammation is part of the normal repair response for healing, and essential in keeping us safe from bacterial and viral infections and noxious environmental agents, not all inflammation is good. When inflammation becomes prolonged and persists, it can become damaging and destructive. Several common molecular pathways have been identified that are associated with both aging and low-grade inflammation. The age-related change in redox balance, the increase in age-related senescent cells, the senescence-associated secretory phenotype (SASP) and the decline in effective autophagy that can trigger the inflammasome, suggest that it may be possible to delay age-related diseases and aging itself by suppressing pro-inflammatory molecular mechanisms or improving the timely resolution of inflammation. Conversely there may be learning from molecular or genetic pathways from long-lived cohorts who exemplify good quality aging. Here, we will discuss some of the current ideas and highlight molecular pathways that appear to contribute to the immune imbalance and the cytokine dysregulation, which is associated with "inflammageing" or parainflammation. Evidence of these findings will be drawn from research in cardiovascular disease, cancer, neurological inflammation and rheumatoid arthritis.
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Affiliation(s)
- Irene Maeve Rea
- School of Medicine, Dentistry and Biomedical Science, Queens University Belfast, Belfast, United Kingdom
- Northern Ireland Centre for Stratified Medicine, Biomedical Sciences Research Institute, University of Ulster, C-TRIC Building, Altnagelvin Area Hospital, Londonderry, United Kingdom
- Care of Elderly Medicine, Belfast Health and Social Care Trust, Belfast, United Kingdom
| | - David S. Gibson
- Northern Ireland Centre for Stratified Medicine, Biomedical Sciences Research Institute, University of Ulster, C-TRIC Building, Altnagelvin Area Hospital, Londonderry, United Kingdom
| | - Victoria McGilligan
- Northern Ireland Centre for Stratified Medicine, Biomedical Sciences Research Institute, University of Ulster, C-TRIC Building, Altnagelvin Area Hospital, Londonderry, United Kingdom
| | - Susan E. McNerlan
- Regional Genetics Service, Belfast Health and Social Care Trust, Belfast, United Kingdom
| | - H. Denis Alexander
- Northern Ireland Centre for Stratified Medicine, Biomedical Sciences Research Institute, University of Ulster, C-TRIC Building, Altnagelvin Area Hospital, Londonderry, United Kingdom
| | - Owen A. Ross
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, United States
- Department of Clinical Genomics, Mayo Clinic, Jacksonville, FL, United States
- School of Medicine and Medical Science, University College Dublin, Dublin, Ireland
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21
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Santoro A, Ostan R, Candela M, Biagi E, Brigidi P, Capri M, Franceschi C. Gut microbiota changes in the extreme decades of human life: a focus on centenarians. Cell Mol Life Sci 2018; 75:129-148. [PMID: 29032502 PMCID: PMC5752746 DOI: 10.1007/s00018-017-2674-y] [Citation(s) in RCA: 138] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2017] [Accepted: 09/29/2017] [Indexed: 12/20/2022]
Abstract
The gut microbiota (GM) is a complex, evolutionarily molded ecological system, which contributes to a variety of physiological functions. The GM is highly dynamic, being sensitive to environmental stimuli, and its composition changes over the host's entire lifespan. However, the basic question of how much these changes may be ascribed to variables such as population, diet, genetics and gender, and/or to the aging process per se is still largely unanswered. We argue that comparison among studies on centenarians-the best model of healthy aging and longevity-recruited from different geographical areas/populations (different genetics and dietary habits) can help to disentangle the contribution of aging and non-aging-related variables to GM remodeling with age. The current review focuses on the role of population, gender and host genetics as possible drivers of GM modification along the human aging process. The feedback impact of age-associated GM variation on the GM-brain axis and GM metabolomics is also discussed. We likewise address the role of GM in neurodegenerative diseases such as Parkinson's and Alzheimer's, and its possible therapeutic use, taking advantage of the fact that centenarians are characterized by an extreme (healthy) phenotype versus patients suffering from age-related pathologies. Finally, it is argued that longitudinal studies combining metagenomics sequencing and in-depth phylogenetic analysis with a comprehensive phenotypic characterization of centenarians and patients using up-to-date omics (metabolomics, transcriptomics and meta-transcriptomics) are urgently needed.
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Affiliation(s)
- Aurelia Santoro
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES), Alma Mater Studiorum-University of Bologna, Via San Giacomo 12, 40126, Bologna, Italy.
- Interdepartmental Centre "L. Galvani" (CIG) Alma Mater Studiorum-University of Bologna, Via San Giacomo 12, 40126, Bologna, Italy.
| | - Rita Ostan
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES), Alma Mater Studiorum-University of Bologna, Via San Giacomo 12, 40126, Bologna, Italy
- Interdepartmental Centre "L. Galvani" (CIG) Alma Mater Studiorum-University of Bologna, Via San Giacomo 12, 40126, Bologna, Italy
| | - Marco Candela
- Department of Pharmacy and Biotechnology (FABIT), Alma Mater Studiorum-University of Bologna, Via Belmeloro 6, 40126, Bologna, Italy
| | - Elena Biagi
- Department of Pharmacy and Biotechnology (FABIT), Alma Mater Studiorum-University of Bologna, Via Belmeloro 6, 40126, Bologna, Italy
| | - Patrizia Brigidi
- Department of Pharmacy and Biotechnology (FABIT), Alma Mater Studiorum-University of Bologna, Via Belmeloro 6, 40126, Bologna, Italy
| | - Miriam Capri
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES), Alma Mater Studiorum-University of Bologna, Via San Giacomo 12, 40126, Bologna, Italy
- Interdepartmental Centre "L. Galvani" (CIG) Alma Mater Studiorum-University of Bologna, Via San Giacomo 12, 40126, Bologna, Italy
| | - Claudio Franceschi
- Institute of Neurological Sciences (IRCCS), Via Altura 3, 40139, Bologna, Italy
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Nygaard M, Thinggaard M, Christensen K, Christiansen L. Investigation of the 5q33.3 longevity locus and age-related phenotypes. Aging (Albany NY) 2017; 9:247-255. [PMID: 28100865 PMCID: PMC5310666 DOI: 10.18632/aging.101156] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2016] [Accepted: 01/09/2017] [Indexed: 01/12/2023]
Abstract
A large meta-analysis recently found the 5q33.3 locus to be associated with survival to ≥ 90 years and lower all-cause mortality, thus suggesting it as a third human longevity locus alongside APOE and FOXO3A. The 5q33.3 locus has previously been associated with blood pressure regulation and cardiovascular diseases in middle-aged individuals. However, part of the influence on mortality appears to be independent of cardiovascular phenotypes, and the role of the 5q33.3 locus in longevity and survival is therefore still partly unknown. We investigated the association between the longevity-associated variant rs2149954 on chromosome 5q33.3 and age-related phenotypes in two cohorts of 1,588 and 1,271 long-lived individuals (mean ages 93.1 and 95.9 years, respectively) as well as in 700 middle-aged and 677 elderly individuals (mean ages 52.5 and 78.7 years). Altogether, nominally significant associations between the rs2149954 minor allele and a decreased risk of heart attack and heart failure as well as increased physical functioning were found in the long-lived individuals. In the middle-aged and elderly individuals, rs2149954 minor allele carriers had a lower risk of hypertension. Our results thereby confirm a role of the 5q33.3 locus in cardiovascular health and, interestingly, they also suggest a role in physical functioning.
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Affiliation(s)
- Marianne Nygaard
- The Danish Aging Research Center, Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, 5000 Odense C, Denmark.,Department of Clinical Genetics, Odense University Hospital, 5000 Odense C, Denmark
| | - Mikael Thinggaard
- The Danish Aging Research Center, Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, 5000 Odense C, Denmark.,Max Planck Odense Center on the Biodemography on Aging, 5000 Odense C, Denmark
| | - Kaare Christensen
- The Danish Aging Research Center, Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, 5000 Odense C, Denmark.,Department of Clinical Genetics, Odense University Hospital, 5000 Odense C, Denmark.,Max Planck Odense Center on the Biodemography on Aging, 5000 Odense C, Denmark.,Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, 5000 Odense C, Denmark
| | - Lene Christiansen
- The Danish Aging Research Center, Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, 5000 Odense C, Denmark
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Sebastiani P, Gurinovich A, Bae H, Andersen S, Malovini A, Atzmon G, Villa F, Kraja AT, Ben-Avraham D, Barzilai N, Puca A, Perls TT. Four Genome-Wide Association Studies Identify New Extreme Longevity Variants. J Gerontol A Biol Sci Med Sci 2017; 72:1453-1464. [PMID: 28329165 DOI: 10.1093/gerona/glx027] [Citation(s) in RCA: 69] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2016] [Accepted: 02/14/2017] [Indexed: 01/10/2023] Open
Abstract
The search for the genetic determinants of extreme human longevity has been challenged by the phenotype's rarity and its nonspecific definition by investigators. To address these issues, we established a consortium of four studies of extreme longevity that contributed 2,070 individuals who survived to the oldest one percentile of survival for the 1900 U.S. birth year cohort. We conducted various analyses to discover longevity-associated variants (LAV) and characterized those LAVs that differentiate survival to extreme age at death (eSAVs) from those LAVs that become more frequent in centenarians because of mortality selection (eg, survival to younger years). The analyses identified new rare variants in chromosomes 4 and 7 associated with extreme survival and with reduced risk for cardiovascular disease and Alzheimer's disease. The results confirm the importance of studying truly rare survival to discover those combinations of common and rare variants associated with extreme longevity and longer health span.
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Affiliation(s)
- Paola Sebastiani
- Department of Biostatistics, Boston University School of Public Health, Massachusetts
| | | | - Harold Bae
- College of Public Health and Human Sciences, Oregon State University, Corvallis
| | - Stacy Andersen
- Geriatrics Section, Department of Medicine, Boston University School of Medicine & Boston Medical Center, Massachusetts
| | - Alberto Malovini
- Laboratory of Informatics and Systems Engineering for Clinical Research, IRCCS Fondazione Salvatore Maugeri, Pavia, Italy
| | - Gil Atzmon
- Department of Natural Science, University of Haifa, Israel.,Department of Medicine.,Department of Genetics, Albert Einstein College of Medicine, Bronx, New York
| | - Francesco Villa
- IRCCS MultiMedica, Milan, Italy.,Department of Medicine and Surgery, University of Salerno, Baronissi, Italy
| | - Aldi T Kraja
- Division of Statistical Genomics, Washington University School of Medicine, Saint Louis, Missouri
| | - Danny Ben-Avraham
- Department of Medicine.,Department of Genetics, Albert Einstein College of Medicine, Bronx, New York
| | - Nir Barzilai
- Department of Medicine.,Department of Genetics, Albert Einstein College of Medicine, Bronx, New York
| | - Annibale Puca
- IRCCS MultiMedica, Milan, Italy.,Department of Medicine and Surgery, University of Salerno, Baronissi, Italy
| | - Thomas T Perls
- Geriatrics Section, Department of Medicine, Boston University School of Medicine & Boston Medical Center, Massachusetts
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24
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Demographic, genetic and phenotypic characteristics of centenarians in Italy: Focus on gender differences. Mech Ageing Dev 2017; 165:68-74. [DOI: 10.1016/j.mad.2017.04.008] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2016] [Revised: 03/22/2017] [Accepted: 04/28/2017] [Indexed: 11/22/2022]
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25
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Olivieri F, Capri M, Bonafè M, Morsiani C, Jung HJ, Spazzafumo L, Viña J, Suh Y. Circulating miRNAs and miRNA shuttles as biomarkers: Perspective trajectories of healthy and unhealthy aging. Mech Ageing Dev 2017; 165:162-170. [PMID: 27986629 PMCID: PMC5481482 DOI: 10.1016/j.mad.2016.12.004] [Citation(s) in RCA: 78] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2016] [Revised: 12/06/2016] [Accepted: 12/12/2016] [Indexed: 12/22/2022]
Abstract
Human aging is a lifelong process characterized by a continuous trade-off between pro-and anti-inflammatory responses, where the best-adapted and/or remodeled genetic/epigenetic profile may develop a longevity phenotype. Centenarians and their offspring represent such a phenotype and their comparison to patients with age-related diseases (ARDs) is expected to maximize the chance to unravel the genetic makeup that better associates with healthy aging trajectories. Seemingly, such comparison is expected to allow the discovery of new biomarkers of longevity together with risk factor for the most common ARDs. MicroRNAs (miRNAs) and their shuttles (extracellular vesicles in particular) are currently conceived as those endowed with the strongest ability to provide information about the trajectories of healthy and unhealthy aging. We review the available data on miRNAs in aging and underpin the evidence suggesting that circulating miRNAs (and cognate shuttles), especially those involved in the regulation of inflammation (inflamma-miRs) may constitute biomarkers capable of reliably depicting healthy and unhealthy aging trajectories.
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Affiliation(s)
- Fabiola Olivieri
- Department of Clinical and Molecular Sciences, Università Politecnica delle Marche, Via Tronto 10/A, Ancona, Italy; Center of Clinical Pathology and Innovative Therapy, Italian National Research Center on Aging, INRCA-IRCCS, Ancona, Italy
| | - Miriam Capri
- DIMES- Department of Experimental, Diagnostic and Specialty Medicine, Alma Mater Studiorum, Via S. Giacomo, 12, Bologna, Italy; CIG, Interdepartmental Center "L. Galvani", Alma Mater Studiorum, Pzza Porta S. Donato, 1, Bologna, Italy.
| | - Massimiliano Bonafè
- DIMES- Department of Experimental, Diagnostic and Specialty Medicine, Alma Mater Studiorum, Via S. Giacomo, 12, Bologna, Italy
| | - Cristina Morsiani
- DIMES- Department of Experimental, Diagnostic and Specialty Medicine, Alma Mater Studiorum, Via S. Giacomo, 12, Bologna, Italy; CIG, Interdepartmental Center "L. Galvani", Alma Mater Studiorum, Pzza Porta S. Donato, 1, Bologna, Italy
| | - Hwa Jin Jung
- Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Liana Spazzafumo
- Center of Clinical Pathology and Innovative Therapy, Italian National Research Center on Aging, INRCA-IRCCS, Ancona, Italy
| | - Jose Viña
- Department of Physiology, Faculty of Medicine, University of Valencia. INCLIVA Avda, Blasco Ibañez 15, 46010 Valencia, Spain
| | - Yousin Suh
- Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, United States
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Dato S, Rose G, Crocco P, Monti D, Garagnani P, Franceschi C, Passarino G. The genetics of human longevity: an intricacy of genes, environment, culture and microbiome. Mech Ageing Dev 2017; 165:147-155. [DOI: 10.1016/j.mad.2017.03.011] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2016] [Revised: 03/04/2017] [Accepted: 03/30/2017] [Indexed: 12/13/2022]
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27
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Giuliani C, Pirazzini C, Delledonne M, Xumerle L, Descombes P, Marquis J, Mengozzi G, Monti D, Bellizzi D, Passarino G, Luiselli D, Franceschi C, Garagnani P. Centenarians as extreme phenotypes: An ecological perspective to get insight into the relationship between the genetics of longevity and age-associated diseases. Mech Ageing Dev 2017; 165:195-201. [DOI: 10.1016/j.mad.2017.02.007] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2016] [Revised: 02/14/2017] [Accepted: 02/20/2017] [Indexed: 10/20/2022]
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Transcriptome analysis in blood cells from children reveals potential early biomarkers of metabolic alterations. Int J Obes (Lond) 2017; 41:1481-1488. [PMID: 28584296 DOI: 10.1038/ijo.2017.132] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2017] [Revised: 04/06/2017] [Accepted: 05/23/2017] [Indexed: 12/15/2022]
Abstract
OBJECTIVES The development of effective strategies to prevent childhood obesity and its comorbidities requires new, reliable early biomarkers. Here, we aimed to identify in peripheral blood cells potential transcript-based biomarkers of unhealthy metabolic profile associated to overweight/obesity in children. METHODS We performed a whole-genome microarray analysis in blood cells to identify genes differentially expressed between overweight and normal weight children to obtain novel transcript-based biomarkers predictive of metabolic complications. RESULTS The most significant enriched pathway of differentially expressed genes was related to oxidative phosphorylation, for which most of genes were downregulated in overweight versus normal weight children. Other genes were involved in carbohydrate metabolism/glucose homoeostasis or in lipid metabolism (for example, TCF7L2, ADRB3, LIPE, GIPR), revealing plausible mechanisms according to existing biological knowledge. A set of differentially expressed genes was identified to discriminate in overweight children those with high or low triglyceride levels. CONCLUSIONS Functional microarray analysis has revealed a set of potential blood-cell transcript-based biomarkers that may be a useful approach for early identification of children with higher predisposition to obesity-related metabolic alterations.
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Cognitive status in the oldest old and centenarians: a condition crucial for quality of life methodologically difficult to assess. Mech Ageing Dev 2017; 165:185-194. [PMID: 28286214 DOI: 10.1016/j.mad.2017.02.010] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2016] [Revised: 01/26/2017] [Accepted: 02/07/2017] [Indexed: 12/20/2022]
Abstract
Human life expectancy and the number of the oldest old are rapidly increasing worldwide. Advanced age is the main risk factor for dementia, representing one of the major causes of disability/dependency among older people with a strong impact on their families/caregivers. Centenarians have reached the extreme limits of human life escaping or delaying the major age-related diseases. Thus, these extraordinary individuals embody the best model to answer the crucial question if cognitive decline and dementia are progressive and unavoidable occurrences of increasing age. Despite a growing amount of data underlines the importance of cognitive function for quality of life and survival in old age, studies on centenarians have paid more attention to their physical condition rather than the assessment of their actual cognitive abilities. Accordingly, this work aims to summarize available data on the prevalence of dementia in centenarians and to critically address topics which can have a relevant impact on the cognitive assessment/status of the oldest old: (i) lack of standardized tools for cognitive assessment; (ii) criteria and threshold to establish the presence of dementia; (iii) influence of birth cohort and education; (iv) role of depression or positive attitude towards life; (v) gender differences.
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Anthropometrically predicted visceral adipose tissue and blood-based biomarkers: a cross-sectional analysis. Eur J Nutr 2016; 57:191-198. [PMID: 27614626 DOI: 10.1007/s00394-016-1308-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2016] [Accepted: 08/31/2016] [Indexed: 12/25/2022]
Abstract
PURPOSE We hypothesized that anthropometrically predicted visceral adipose tissue (apVAT) accounts for more variance in blood-based biomarkers of glucose homeostasis, inflammation, and lipid metabolism than body mass index (BMI), waist circumference (WC), and the combination of BMI and WC (BMI + WC). METHODS This was a cross-sectional analysis of 10,624 males and females who participated in the Third National Health and Nutrition Examination Survey (NHANES III; 1988-1994). apVAT was predicted from a validated regression equation that included age, height, weight, waist, and thigh circumferences. Bootstrapped linear regression models were used to compare the proportion of variance (R 2) in biomarkers explained by apVAT, BMI, WC, and BMI + WC. RESULTS apVAT accounted for more variance in biomarkers of glucose homeostasis than BMI (∆R 2 = 8.4-11.8 %; P < 0.001), WC (∆R 2 = 5.5-8.4 %; P < 0.001), and BMI + WC (∆R 2 = 5.1-7.7 %; P < 0.001). apVAT accounted for more variance in biomarkers of inflammation than BMI (ΔR 2 = 3.8 %; P < 0.001), WC (ΔR 2 = 3.1 %; P < 0.001), and BMI + WC (ΔR 2 = 2.9 %; P < 0.001). apVAT accounted for more variance in biomarkers of lipid metabolism than BMI (ΔR 2 = 2.9-9.2 %; P < 0.001), WC (ΔR 2 = 2.9-5.2 %; P < 0.001), and BMI + WC (ΔR 2 = 2.4-4.1 %; P ≤ 0.01). CONCLUSIONS apVAT, estimated with simple and widely used anthropometric measures, accounts for more variance in blood-based biomarkers than BMI, WC, and BMI + WC. Clinicians and researchers may consider utilizing apVAT to characterize cardio-metabolic health, particularly in settings with limited availability of imaging and laboratory data.
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32
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Freudenberg-Hua Y, Li W, Abhyankar A, Vacic V, Cortes V, Ben-Avraham D, Koppel J, Greenwald B, Germer S, Darnell RB, Barzilai N, Freudenberg J, Atzmon G, Davies P. Differential burden of rare protein truncating variants in Alzheimer's disease patients compared to centenarians. Hum Mol Genet 2016; 25:3096-3105. [PMID: 27260402 DOI: 10.1093/hmg/ddw150] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2015] [Revised: 05/06/2016] [Accepted: 05/13/2016] [Indexed: 12/31/2022] Open
Abstract
We compared coding region variants of 53 cognitively healthy centenarians and 45 patients with Alzheimer's disease (AD), all of Ashkenazi Jewish (AJ) ancestry. Despite the small sample size, the known AD risk variant APOE4 reached genome-wide significance, indicating the advantage of utilizing 'super-controls'. We restricted our subsequent analysis to rare variants observed at most once in the 1000 Genomes database and having a minor allele frequency below 2% in our AJ sample. We compared the burden of predicted protein altering variants between cases and controls as normalized by the level of rare synonymous variants. We observed an increased burden among AD subjects for predicted loss-of-function (LoFs) variants defined as stop-gain, frame shift, initiation codon (INIT) and splice site mutations (n = 930, OR = 1.3, P = 1.5×E-5). There was no enrichment across all rare protein altering variants defined as missense plus LoFs, in frame indels and stop-loss variants (n = 13 014, OR = 0.97, P = 0.47). Among LoFs, the strongest burden was observed for INIT (OR = 2.16, P = 0.0097) and premature stop variants predicted to cause non-sense-mediated decay in the majority of transcripts (NMD) (OR = 1.98, P = 0.02). Notably, this increased burden of NMD, INIT and splice variants was more pronounced in a set of 1397 innate immune genes (OR = 4.55, P = 0.0043). Further comparison to additional exomes indicates that the difference in LoF burden originated both from the AD and centenarian sample. In summary, we observed an overall increased burden of rare LoFs in AD subjects as compared to centenarians, and this enrichment is more pronounced for innate immune genes.
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Affiliation(s)
- Yun Freudenberg-Hua
- Litwin-Zucker Research Center for the Study of Alzheimer's Disease, The Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY 11030, USA .,Division of Geriatric Psychiatry, Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY 11004, USA
| | - Wentian Li
- Robert S Boas Center for Genomics and Human Genetics, The Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY 11030, USA
| | | | | | - Vanessa Cortes
- Litwin-Zucker Research Center for the Study of Alzheimer's Disease, The Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY 11030, USA
| | - Danny Ben-Avraham
- Institute for Aging Research and the Diabetes Research Center, Department of Medicine and Genetics, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Jeremy Koppel
- Litwin-Zucker Research Center for the Study of Alzheimer's Disease, The Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY 11030, USA
| | - Blaine Greenwald
- Division of Geriatric Psychiatry, Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY 11004, USA
| | | | | | | | - Nir Barzilai
- Institute for Aging Research and the Diabetes Research Center, Department of Medicine and Genetics, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Jan Freudenberg
- Robert S Boas Center for Genomics and Human Genetics, The Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY 11030, USA.,The Regeneron Genetics Center, Tarrytown, NY 10591, USA and
| | - Gil Atzmon
- Institute for Aging Research and the Diabetes Research Center, Department of Medicine and Genetics, Albert Einstein College of Medicine, Bronx, NY 10461, USA.,Faculty of Natural Sciences, University of Haifa, Haifa 31905, Israel
| | - Peter Davies
- Litwin-Zucker Research Center for the Study of Alzheimer's Disease, The Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY 11030, USA
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Biomarkers of Aging: From Function to Molecular Biology. Nutrients 2016; 8:nu8060338. [PMID: 27271660 PMCID: PMC4924179 DOI: 10.3390/nu8060338] [Citation(s) in RCA: 181] [Impact Index Per Article: 22.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2016] [Revised: 05/09/2016] [Accepted: 05/30/2016] [Indexed: 01/01/2023] Open
Abstract
Aging is a major risk factor for most chronic diseases and functional impairments. Within a homogeneous age sample there is a considerable variation in the extent of disease and functional impairment risk, revealing a need for valid biomarkers to aid in characterizing the complex aging processes. The identification of biomarkers is further complicated by the diversity of biological living situations, lifestyle activities and medical treatments. Thus, there has been no identification of a single biomarker or gold standard tool that can monitor successful or healthy aging. Within this short review the current knowledge of putative biomarkers is presented, focusing on their application to the major physiological mechanisms affected by the aging process including physical capability, nutritional status, body composition, endocrine and immune function. This review emphasizes molecular and DNA-based biomarkers, as well as recent advances in other biomarkers such as microRNAs, bilirubin or advanced glycation end products.
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Jain D, Goyal A, Uribe J. Obesity and Cecal Intubation Time. Clin Endosc 2016; 49:187-90. [PMID: 26867549 PMCID: PMC4821524 DOI: 10.5946/ce.2015.079] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2015] [Revised: 09/08/2015] [Accepted: 10/05/2015] [Indexed: 12/14/2022] Open
Abstract
Background/Aims: Obesity is a much-debated factor with conflicting evidence regarding its association with cecum intubation rates during colonoscopy. We aimed to identify the association between cecal intubation (CI) time and obesity by eliminating confounding factors. Methods: A retrospective chart review of subjects undergoing outpatient colonoscopy was conducted. The population was categorized by sex and obesity (body mass index [BMI, kg/m2]: I, <24.9; II, 25 to 29.9; III, ≥30). CI time was used as a marker for a difficult colonoscopy. Mean CI times (MCT) were compared for statistical significance using analysis of variance tests. Results: A total of 926 subjects were included. Overall MCT was 15.7±7.9 minutes, and it was 15.9±7.9 and 15.5±7.9 minutes for men and women, respectively. MCT among women for BMI category I, II, and III was 14.4±6.5, 15.5±8.3, and 16.2±8.1 minutes (p=0.55), whereas for men, it was 16.3±8.9, 15.9±8.0, and 15.6±7.2 minutes (p=0.95), respectively. Conclusions: BMI had a positive association with CI time for women, but had a negative association with CI for men.
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Affiliation(s)
- Deepanshu Jain
- Department of Internal Medicine, Einstein Medical Center, Philadelphia, PA, USA
| | - Abhinav Goyal
- Department of Internal Medicine, Einstein Medical Center, Philadelphia, PA, USA
| | - Jorge Uribe
- Division of Gastroenterology, Department of Internal Medicine, Einstein Medical Center, Philadelphia, PA, USA
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35
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Fortney K, Dobriban E, Garagnani P, Pirazzini C, Monti D, Mari D, Atzmon G, Barzilai N, Franceschi C, Owen AB, Kim SK. Genome-Wide Scan Informed by Age-Related Disease Identifies Loci for Exceptional Human Longevity. PLoS Genet 2015; 11:e1005728. [PMID: 26677855 PMCID: PMC4683064 DOI: 10.1371/journal.pgen.1005728] [Citation(s) in RCA: 96] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2015] [Accepted: 11/16/2015] [Indexed: 11/20/2022] Open
Abstract
We developed a new statistical framework to find genetic variants associated with extreme longevity. The method, informed GWAS (iGWAS), takes advantage of knowledge from large studies of age-related disease in order to narrow the search for SNPs associated with longevity. To gain support for our approach, we first show there is an overlap between loci involved in disease and loci associated with extreme longevity. These results indicate that several disease variants may be depleted in centenarians versus the general population. Next, we used iGWAS to harness information from 14 meta-analyses of disease and trait GWAS to identify longevity loci in two studies of long-lived humans. In a standard GWAS analysis, only one locus in these studies is significant (APOE/TOMM40) when controlling the false discovery rate (FDR) at 10%. With iGWAS, we identify eight genetic loci to associate significantly with exceptional human longevity at FDR < 10%. We followed up the eight lead SNPs in independent cohorts, and found replication evidence of four loci and suggestive evidence for one more with exceptional longevity. The loci that replicated (FDR < 5%) included APOE/TOMM40 (associated with Alzheimer’s disease), CDKN2B/ANRIL (implicated in the regulation of cellular senescence), ABO (tags the O blood group), and SH2B3/ATXN2 (a signaling gene that extends lifespan in Drosophila and a gene involved in neurological disease). Our results implicate new loci in longevity and reveal a genetic overlap between longevity and age-related diseases and traits, including coronary artery disease and Alzheimer’s disease. iGWAS provides a new analytical strategy for uncovering SNPs that influence extreme longevity, and can be applied more broadly to boost power in other studies of complex phenotypes. Longevity is a complex phenotype, and few genetic variants that affect lifespan have been identified. However, aging and disease are closely related, and a great deal is known about the genetic basis of disease risk. Here, we show using genome-wide association studies (GWAS) of longevity and disease that there is an overlap between loci involved in longevity and loci involved in several diseases, such as Alzheimer’s disease and coronary artery disease. We then develop a new statistical framework to find genetic variants associated with extreme longevity. The method, informed GWAS (iGWAS), takes advantage of knowledge from 14 large studies of disease and disease-related traits in order to narrow the search for SNPs associated with longevity. Using iGWAS, we found eight SNPs that are significant in our discovery cohorts, and we were able to validate four of these in replication studies of long-lived subjects. Our results implicate new loci in longevity and reveal a genetic overlap between longevity and age-related diseases and traits. Beyond the study of human longevity, iGWAS can be applied to boost statistical power in any GWAS of a target phenotype by using larger GWAS of genetically-related conditions.
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Affiliation(s)
- Kristen Fortney
- Department of Developmental Biology, Stanford University, Stanford, California, United States of America
- Department of Genetics, Stanford University, Stanford, California, United States of America
| | - Edgar Dobriban
- Department of Statistics, Stanford University, Stanford, California, United States of America
| | - Paolo Garagnani
- Department of Experimental, Diagnostic and Specialty Medicine Experimental Pathology, University of Bologna, Bologna, Italy
- Center for Applied Biomedical Research, St. Orsola-Malpighi University Hospital, Bologna, Italy
| | - Chiara Pirazzini
- Department of Experimental, Diagnostic and Specialty Medicine Experimental Pathology, University of Bologna, Bologna, Italy
- Interdepartmental Centre "L. Galvani" CIG, University of Bologna, Bologna, Italy
| | - Daniela Monti
- Department of Clinical, Experimental and Biomedical Sciences, University of Florence, Florence, Italy
| | - Daniela Mari
- Department of Medical Sciences, University of Milan, Milan, Italy
- Geriatric Unit, IRCCS Ca' Grande Foundation, Maggiore Policlinico Hospital, Milan, Italy
| | - Gil Atzmon
- Department of Genetics, Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Nir Barzilai
- Department of Genetics, Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Claudio Franceschi
- Department of Experimental, Diagnostic and Specialty Medicine Experimental Pathology, University of Bologna, Bologna, Italy
- IRCCS, Institute of Neurological Sciences of Bologna, Bologna, Italy
| | - Art B. Owen
- Department of Statistics, Stanford University, Stanford, California, United States of America
| | - Stuart K. Kim
- Department of Developmental Biology, Stanford University, Stanford, California, United States of America
- Department of Genetics, Stanford University, Stanford, California, United States of America
- * E-mail:
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Chmielewski P, Borysławski K, Chmielowiec K, Chmielowiec J. Longitudinal and cross-sectional changes with age in selected anthropometric and physiological traits in hospitalized adults: an insight from the Polish Longitudinal Study of Aging (PLSA). ANTHROPOLOGICAL REVIEW 2015. [DOI: 10.1515/anre-2015-0025] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Abstract
Longitudinal studies of aging concerning individuals with comparable lifestyle, diet, health profile, socioeconomic status, and income remain extraordinarily rare. The purposes of our ongoing project are as follows: (i) to collect extensive data on biological and medical aspects of aging in the Polish population, (ii) to determine factors affecting the rate and course of aging, (iii) to understand how aging unfolds as a dynamic and malleable process in ontogeny, and (iv) to find novel predictors of longevity. Our investigation followed 142 physically healthy asylum inmates, including 68 males and 74 females, for at least 25 years from the age of 45 years onward. Cross-sectional assessment involved 225 inmates, including 113 males and 112 females. All the patients lived for a very long time under similar and good environmental conditions at the hospital in Cibórz, Lubuskie Province. They maintained virtually the same daily schedule and lifestyle. The rate and direction of changes with age in selected anthropometric and physiological traits were determined using ANOVA, t-test, and regression analysis. There were sex differences in the rate and pattern of age-related changes in certain characteristics such as relative weight, red blood cell count, monocyte count, thymol turbidity value, systolic blood pressure, and body temperature. Body weight, the body mass index (BMI), and total bilirubin level increased with advancing age, while body height decreased with age in both sexes. In conclusion, the aging process was associated with many regressive alterations in biological traits in both sexes but the rate and pattern of these changes depended on biological factors such as age and sex. There were only few characteristics which did not change significantly during the period under study. On the basis of comparison between the pattern of longitudinal changes with aging and the pattern of cross-sectional changes with age in the analyzed traits, we were able to predict which pattern of changes is associated with longer lifespan.
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Affiliation(s)
- Piotr Chmielewski
- Department of Anatomy, Faculty of Medicine, Wrocław Medical University, T. Chałubińskiego 6a, 50-368 Wrocław
| | - Krzysztof Borysławski
- Department of Anthropology, Institute of Biology, Wrocław University of Environmental and Life Sciences
| | - Krzysztof Chmielowiec
- Regional Psychiatric Hospital for People with Mental Disorders, Cibórz, Lubuskie Province, Poland
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Horvath S, Pirazzini C, Bacalini MG, Gentilini D, Di Blasio AM, Delledonne M, Mari D, Arosio B, Monti D, Passarino G, De Rango F, D'Aquila P, Giuliani C, Marasco E, Collino S, Descombes P, Garagnani P, Franceschi C. Decreased epigenetic age of PBMCs from Italian semi-supercentenarians and their offspring. Aging (Albany NY) 2015; 7:1159-70. [PMID: 26678252 PMCID: PMC4712339 DOI: 10.18632/aging.100861] [Citation(s) in RCA: 206] [Impact Index Per Article: 22.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
Given the dramatic increase in ageing populations, it is of great importance to understand the genetic and molecular determinants of healthy ageing and longevity. Semi-supercentenarians (subjects who reached an age of 105-109 years) arguably represent the gold standard of successful human ageing because they managed to avoid or postpone the onset of major age-related diseases. Relatively few studies have looked at epigenetic determinants of extreme longevity in humans. Here we test whether families with extreme longevity are epigenetically distinct from controls according to an epigenetic biomarker of ageing which is known as "epigenetic clock". We analyze the DNA methylation levels of peripheral blood mononuclear cells (PBMCs) from Italian families constituted of 82 semi-supercentenarians (mean age: 105.6 ± 1.6 years), 63 semi-supercentenarians' offspring (mean age: 71.8 ± 7.8 years), and 47 age-matched controls (mean age: 69.8 ± 7.2 years). We demonstrate that the offspring of semi-supercentenarians have a lower epigenetic age than age-matched controls (age difference=5.1 years, p=0.00043) and that centenarians are younger (8.6 years) than expected based on their chronological age. By contrast, no significant difference could be observed for estimated blood cell counts (such as naïve or exhausted cytotoxic T cells or helper T cells). Future studies will be needed to replicate these findings in different populations and to extend them to other tissues. Overall, our results suggest that epigenetic processes might play a role in extreme longevity and healthy human ageing.
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Affiliation(s)
- Steve Horvath
- Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
- Biostatistics, School of Public Health, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Chiara Pirazzini
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, 40126 Bologna, Italy
- Interdepartmental Center "L. Galvani", University of Bologna, 40126 Bologna, Italy
| | - Maria Giulia Bacalini
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, 40126 Bologna, Italy
- Interdepartmental Center "L. Galvani", University of Bologna, 40126 Bologna, Italy
- Personal Genomics S.r.l., 37134 Verona, Italy
| | - Davide Gentilini
- Istituto Auxologico Italiano IRCCS, Cusano Milanino, 20095 Milan, Italy
| | | | - Massimo Delledonne
- Personal Genomics S.r.l., 37134 Verona, Italy
- Functional Genomics Center, Department of Biotechnology, University of Verona, 37134 Verona, Italy
| | - Daniela Mari
- Geriatric Unit, Department of Medical Sciences and Community Health, University of Milan, 20122 Milan, Italy
- Geriatric Unit, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, 20122 Milan, Italy
| | - Beatrice Arosio
- Geriatric Unit, Department of Medical Sciences and Community Health, University of Milan, 20122 Milan, Italy
- Geriatric Unit, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, 20122 Milan, Italy
| | - Daniela Monti
- Department of Experimental and Clinical Biomedical Sciences, University of Florence, 50139 Florence, Italy
| | | | | | - Patrizia D'Aquila
- Department of Cell Biology, University of Calabria, 87036 Rende, Italy
| | - Cristina Giuliani
- Department of Biological, Geological and Environmental Sciences, Laboratory of Molecular Anthropology and Centre for Genome Biology, University of Bologna, 40126 Bologna, Italy
| | - Elena Marasco
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, 40126 Bologna, Italy
- Interdepartmental Center "L. Galvani", University of Bologna, 40126 Bologna, Italy
| | - Sebastiano Collino
- Molecular Biomarkers, Nestlé Institute of Health Sciences SA, 1015 Lausanne, Switzerland
| | - Patrick Descombes
- Functional Genomics, Nestlé Institute of Health Sciences SA, 1015 Lausanne, Switzerland
| | - Paolo Garagnani
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, 40126 Bologna, Italy
- Interdepartmental Center "L. Galvani", University of Bologna, 40126 Bologna, Italy
- CRBA, Center for Applied Biomedical Research, St. Orsola-Malpighi University Hospital, 40138 Bologna, Italy
| | - Claudio Franceschi
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, 40126 Bologna, Italy
- Interdepartmental Center "L. Galvani", University of Bologna, 40126 Bologna, Italy
- CNR, Institute of Organic Synthesis and Photoreactivity (ISOF), 40129 Bologna, Italy
- IRCCS, Institute of Neurological Sciences of Bologna, 40139 Bologna, Italy
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Rea JNM, Carvalho A, McNerlan SE, Alexander HD, Rea IM. Genes and life-style factors in BELFAST nonagenarians: Nature, Nurture and Narrative. Biogerontology 2015; 16:587-97. [PMID: 25773008 PMCID: PMC4552771 DOI: 10.1007/s10522-015-9567-y] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2015] [Accepted: 03/04/2015] [Indexed: 12/01/2022]
Abstract
Understanding how to 'Age Longer and Age Well' is a priority for people personally, for populations globally and for government policy. Nonagenarians are the oldest members of our societies and survivors of their generation. Approximately 10 % of nonagenarians reach 90 years and beyond in good condition and seem to have a combination of both age-span and health-span. But what are the factors which help people reach their ninetieth birthday and beyond in good condition? Are they genetics, as in 'nature', or do they depend on 'nurture' and are related to environment, or are both factors inextricably intertwined within the concept of behavioural genetics? Nonagenarians have rich life experiences that can teach us much about ageing well; they are reservoirs of genetic, life-style and behavioural information which can help dissect out how to live not only longer but better. Personal family history and narrative are powerful tools that help to determine familial traits, beliefs and social behaviours and when used in parallel with new biotechnology methods inform and elaborate causality. Here we present themes and insights from personal narrative enquiry from nonagenarian participants from the Belfast Elderly Longitudinal Free-living Ageing STudy (BELFAST) about factors they consider important for good quality ageing and relate these insights to the emerging genetics and life-style evidence associated with healthy longevity.
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Affiliation(s)
- Jennifer Nicola M. Rea
- Research Department Primary Care and Population Health, University College London, London, UK
| | - Ashley Carvalho
- School of Medicine, Dentistry and Biomedical Science, Queens University Belfast, Belfast, Northern Ireland, UK
| | - Susan E. McNerlan
- Regional Cytogenetics Laboratory, Belfast Health and Social Care Trust, Belfast, Northern Ireland, UK
| | - H. Denis Alexander
- School of Biomedical Science, University of Ulster, Coleraine, Northern Ireland, UK
| | - Irene Maeve Rea
- School of Medicine, Dentistry and Biomedical Science, Queens University Belfast, Belfast, Northern Ireland, UK
- School of Biomedical Science, University of Ulster, Coleraine, Northern Ireland, UK
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Franzke B, Neubauer O, Wagner KH. Super DNAging—New insights into DNA integrity, genome stability and telomeres in the oldest old. MUTATION RESEARCH-REVIEWS IN MUTATION RESEARCH 2015; 766:48-57. [DOI: 10.1016/j.mrrev.2015.08.001] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2015] [Revised: 08/18/2015] [Accepted: 08/19/2015] [Indexed: 01/02/2023]
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Rea IM, Dellet M, Mills KI. Living long and ageing well: is epigenomics the missing link between nature and nurture? Biogerontology 2015; 17:33-54. [PMID: 26133292 DOI: 10.1007/s10522-015-9589-5] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2015] [Accepted: 06/22/2015] [Indexed: 12/12/2022]
Abstract
Human longevity is a complex trait and increasingly we understand that both genes and lifestyle interact in the longevity phenotype. Non-genetic factors, including diet, physical activity, health habits, and psychosocial factors contribute approximately 50% of the variability in human lifespan with another 25% explained by genetic differences. Family clusters of nonagenarian and centenarian siblings, who show both exceptional age-span and health-span, are likely to have inherited facilitatory gene groups, but also have nine decades of life experiences and behaviours which have interacted with their genetic profiles. Identification of their shared genes is just one small step in the link from genes to their physical and psychological profiles. Behavioural genomics is beginning to demonstrate links to biological mechanisms through regulation of gene expression, which directs the proteome and influences the personal phenotype. Epigenetics has been considered the missing link between nature and nurture. Although there is much that remains to be discovered, this article will discuss some of genetic and environmental factors which appear important in good quality longevity and link known epigenetic mechanisms to themes identified by nonagenarians themselves related to their longevity. Here we suggest that exceptional 90-year old siblings have adopted a range of behaviours and life-styles which have contributed to their ageing-well-phenotype and which link with important public health messages.
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Affiliation(s)
- Irene Maeve Rea
- School of Medicine, Dentistry and Biomedical Science, Queens University Belfast, Belfast, Northern Ireland, UK. .,School of Biomedical Sciences, University of Ulster, Coleraine, Northern Ireland, UK.
| | - Margaret Dellet
- School of Medicine, Dentistry and Biomedical Science, Queens University Belfast, Belfast, Northern Ireland, UK.,Centre for Experimental Medicine, School of Medicine, Dentistry and Biomedical Science, Queens University Belfast , Belfast, Northern Ireland, UK
| | - Ken I Mills
- School of Medicine, Dentistry and Biomedical Science, Queens University Belfast, Belfast, Northern Ireland, UK.,Centre for Cancer Research and Cell Biology, School of Medicine, Dentistry and Biomedical Science, Queens University Belfast, Belfast, Northern Ireland, UK
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Corella D, Ordovás JM. Aging and cardiovascular diseases: the role of gene-diet interactions. Ageing Res Rev 2014; 18:53-73. [PMID: 25159268 DOI: 10.1016/j.arr.2014.08.002] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2014] [Revised: 08/15/2014] [Accepted: 08/18/2014] [Indexed: 12/21/2022]
Abstract
In the study of longevity, increasing importance is being placed on the concept of healthy aging rather than considering the total number of years lived. Although the concept of healthy lifespan needs to be defined better, we know that cardiovascular diseases (CVDs) are the main age-related diseases. Thus, controlling risk factors will contribute to reducing their incidence, leading to healthy lifespan. CVDs are complex diseases influenced by numerous genetic and environmental factors. Numerous gene variants that are associated with a greater or lesser risk of the different types of CVD and of intermediate phenotypes (i.e., hypercholesterolemia, hypertension, diabetes) have been successfully identified. However, despite the close link between aging and CVD, studies analyzing the genes related to human longevity have not obtained consistent results and there has been little coincidence in the genes identified in both fields. The APOE gene stands out as an exception, given that it has been identified as being relevant in CVD and longevity. This review analyzes the genomic and epigenomic factors that may contribute to this, ranging from identifying longevity genes in model organisms to the importance of gene-diet interactions (outstanding among which is the case of the TCF7L2 gene).
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Hooper PL, Balogh G, Rivas E, Kavanagh K, Vigh L. The importance of the cellular stress response in the pathogenesis and treatment of type 2 diabetes. Cell Stress Chaperones 2014; 19:447-64. [PMID: 24523032 PMCID: PMC4041942 DOI: 10.1007/s12192-014-0493-8] [Citation(s) in RCA: 79] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2013] [Revised: 12/24/2013] [Accepted: 01/02/2014] [Indexed: 01/06/2023] Open
Abstract
Organisms have evolved to survive rigorous environments and are not prepared to thrive in a world of caloric excess and sedentary behavior. A realization that physical exercise (or lack of it) plays a pivotal role in both the pathogenesis and therapy of type 2 diabetes mellitus (t2DM) has led to the provocative concept of therapeutic exercise mimetics. A decade ago, we attempted to simulate the beneficial effects of exercise by treating t2DM patients with 3 weeks of daily hyperthermia, induced by hot tub immersion. The short-term intervention had remarkable success, with a 1 % drop in HbA1, a trend toward weight loss, and improvement in diabetic neuropathic symptoms. An explanation for the beneficial effects of exercise and hyperthermia centers upon their ability to induce the cellular stress response (the heat shock response) and restore cellular homeostasis. Impaired stress response precedes major metabolic defects associated with t2DM and may be a near seminal event in the pathogenesis of the disease, tipping the balance from health into disease. Heat shock protein inducers share metabolic pathways associated with exercise with activation of AMPK, PGC1-a, and sirtuins. Diabetic therapies that induce the stress response, whether via heat, bioactive compounds, or genetic manipulation, improve or prevent all of the morbidities and comorbidities associated with the disease. The agents reduce insulin resistance, inflammatory cytokines, visceral adiposity, and body weight while increasing mitochondrial activity, normalizing membrane structure and lipid composition, and preserving organ function. Therapies restoring the stress response can re-tip the balance from disease into health and address the multifaceted defects associated with the disease.
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Affiliation(s)
- Philip L. Hooper
- />Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Gabor Balogh
- />Institute of Biochemistry, Biological Research Center, Hungarian Academy of Sciences, Szeged, Hungary
| | - Eric Rivas
- />Institute for Exercise and Environmental Medicine, Texas Health Presbyterian Hospital of Dallas and University of Texas Southwestern Medical Center, Dallas, TX USA
- />Department of Kinesiology, Texas Woman’s University, Denton, TX USA
| | - Kylie Kavanagh
- />Department of Pathology, Wake Forest School of Medicine, Winston–Salem, NC USA
| | - Laszlo Vigh
- />Institute of Biochemistry, Biological Research Center, Hungarian Academy of Sciences, Szeged, Hungary
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The three genetics (nuclear DNA, mitochondrial DNA, and gut microbiome) of longevity in humans considered as metaorganisms. BIOMED RESEARCH INTERNATIONAL 2014; 2014:560340. [PMID: 24868529 PMCID: PMC4017728 DOI: 10.1155/2014/560340] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/03/2014] [Accepted: 03/25/2014] [Indexed: 02/03/2023]
Abstract
Usually the genetics of human longevity is restricted to the nuclear genome (nDNA). However it is well known that the nDNA interacts with a physically and functionally separated genome, the mitochondrial DNA (mtDNA) that, even if limited in length and number of genes encoded, plays a major role in the ageing process. The complex interplay between nDNA/mtDNA and the environment is most likely involved in phenomena such as ageing and longevity. To this scenario we have to add another level of complexity represented by the microbiota, that is, the whole set of bacteria present in the different part of our body with their whole set of genes. In particular, several studies investigated the role of gut microbiota (GM) modifications in ageing and longevity and an age-related GM signature was found. In this view, human being must be considered as “metaorganism” and a more holistic approach is necessary to grasp the complex dynamics of the interaction between the environment and nDNA-mtDNA-GM of the host during ageing. In this review, the relationship between the three genetics and human longevity is addressed to point out that a comprehensive view will allow the researchers to properly address the complex interactions that occur during human lifespan.
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Corella D, Ordovás JM. How does the Mediterranean diet promote cardiovascular health? Current progress toward molecular mechanisms: gene-diet interactions at the genomic, transcriptomic, and epigenomic levels provide novel insights into new mechanisms. Bioessays 2014; 36:526-37. [PMID: 24706458 DOI: 10.1002/bies.201300180] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Epidemiological evidence supports a health-promoting effect of the Mediterranean Diet (MedDiet), especially in the prevention of cardiovascular diseases. These cardiovascular benefits have been attributed to a number of components of the MedDiet such as monounsaturated fatty acids, antioxidant vitamins and phytochemicals. However, the underlying mechanisms remain unknown. Likewise, little is known about the genes that define inter-individual variation in response to the MedDiet, although the TCF7L2 gene is emerging as an illustrative candidate for determining relative risk of cardiovascular events in response to the MedDiet. Moreover, omics technologies are providing evidence supporting potential mechanisms, some of them implicating epigenetics (i.e. microRNAs, methylation), and certain data suggest that some traditional foods could contribute via microRNAs possibly acting as exogenous regulators of gene expression. Future research should aim at increasing and consolidating the nutrigenetic and nutrigenomic knowledge of the MedDiet in order to provide sound, personalized and optimized nutritional recommendations.
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Affiliation(s)
- Dolores Corella
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, Valencia, Spain; CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
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Sevini F, Giuliani C, Vianello D, Giampieri E, Santoro A, Biondi F, Garagnani P, Passarino G, Luiselli D, Capri M, Franceschi C, Salvioli S. mtDNA mutations in human aging and longevity: controversies and new perspectives opened by high-throughput technologies. Exp Gerontol 2014; 56:234-44. [PMID: 24709341 DOI: 10.1016/j.exger.2014.03.022] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2013] [Revised: 03/14/2014] [Accepted: 03/26/2014] [Indexed: 12/21/2022]
Abstract
The last 30 years of research greatly contributed to shed light on the role of mitochondrial DNA (mtDNA) variability in aging, although contrasting results have been reported, mainly due to bias regarding the population size and stratification, and to the use of analysis methods (haplogroup classification) that resulted to be not sufficiently adequate to grasp the complexity of the phenomenon. A 5-years European study (the GEHA EU project) collected and analyzed data on mtDNA variability on an unprecedented number of long-living subjects (enriched for longevity genes) and a comparable number of controls (matched for gender and ethnicity) in Europe. This very large study allowed a reappraisal of the role of both the inherited and the somatic mtDNA variability in aging, as an association with longevity emerged only when mtDNA variants in OXPHOS complexes co-occurred. Moreover, the availability of data from both nuclear and mitochondrial genomes on a large number of subjects paves the way for an evaluation at a very large scale of the epistatic interactions at a higher level of complexity. This scenario is expected to be even more clarified in the next future with the use of next generation sequencing (NGS) techniques, which are becoming applicable to evaluate mtDNA variability and, then, new mathematical/bioinformatic analysis methods are urgently needed. Recent advances of association studies on age-related diseases and mtDNA variability will also be discussed in this review, taking into account the bias hidden by population stratification. Finally, very recent findings in terms of mtDNA heteroplasmy (i.e. the coexistence of wild type and mutated copies of mtDNA) and aging as well as mitochondrial epigenetic mechanisms will also be discussed.
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Affiliation(s)
- Federica Sevini
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, via S. Giacomo 12, 40126 Bologna, Italy; C.I.G. Interdepartmental Centre L. Galvani for Integrated Studies on Bioinformatics, Biophysics and Biocomplexity, University of Bologna, via S. Giacomo 12, 40126, Bologna, Italy.
| | - Cristina Giuliani
- Department of Biological, Geological and Environmental Sciences, Laboratory of Anthropology, University of Bologna, Via Selmi 3, 40126 Bologna, Italy; Department of Biological, Geological and Environmental Sciences, Centre for Genome Biology, University of Bologna, Via Selmi 3, 40126 Bologna, Italy
| | - Dario Vianello
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, via S. Giacomo 12, 40126 Bologna, Italy
| | - Enrico Giampieri
- Department of Physics and Astronomy, Viale Berti Pichat 6/2, 40126 Bologna, Italy
| | - Aurelia Santoro
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, via S. Giacomo 12, 40126 Bologna, Italy
| | - Fiammetta Biondi
- C.I.G. Interdepartmental Centre L. Galvani for Integrated Studies on Bioinformatics, Biophysics and Biocomplexity, University of Bologna, via S. Giacomo 12, 40126, Bologna, Italy
| | - Paolo Garagnani
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, via S. Giacomo 12, 40126 Bologna, Italy; C.I.G. Interdepartmental Centre L. Galvani for Integrated Studies on Bioinformatics, Biophysics and Biocomplexity, University of Bologna, via S. Giacomo 12, 40126, Bologna, Italy
| | - Giuseppe Passarino
- Department of Biology, Ecology and Earth Science, University of Calabria, 87036 Rende, Italy
| | - Donata Luiselli
- Department of Biological, Geological and Environmental Sciences, Laboratory of Anthropology, University of Bologna, Via Selmi 3, 40126 Bologna, Italy; Department of Biological, Geological and Environmental Sciences, Centre for Genome Biology, University of Bologna, Via Selmi 3, 40126 Bologna, Italy
| | - Miriam Capri
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, via S. Giacomo 12, 40126 Bologna, Italy; C.I.G. Interdepartmental Centre L. Galvani for Integrated Studies on Bioinformatics, Biophysics and Biocomplexity, University of Bologna, via S. Giacomo 12, 40126, Bologna, Italy
| | - Claudio Franceschi
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, via S. Giacomo 12, 40126 Bologna, Italy; C.I.G. Interdepartmental Centre L. Galvani for Integrated Studies on Bioinformatics, Biophysics and Biocomplexity, University of Bologna, via S. Giacomo 12, 40126, Bologna, Italy; IRCCS, Institute of Neurological Sciences of Bologna, Ospedale Bellaria, Via Altura 3, 40139 Bologna, Italy; CNR, Institute of Organic Synthesis and Photoreactivity (ISOF), Via P. Gobetti 101, 40129 Bologna, Italy
| | - Stefano Salvioli
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, via S. Giacomo 12, 40126 Bologna, Italy; C.I.G. Interdepartmental Centre L. Galvani for Integrated Studies on Bioinformatics, Biophysics and Biocomplexity, University of Bologna, via S. Giacomo 12, 40126, Bologna, Italy
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An integrative review of factors associated with telomere length and implications for biobehavioral research. Nurs Res 2014; 63:36-50. [PMID: 24335912 DOI: 10.1097/nnr.0000000000000009] [Citation(s) in RCA: 143] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Although telomere shortening occurs as a natural part of aging, there is now a robust body of research that suggests that there is a relationship between psychosocial, environmental, and behavioral factors and changes in telomere length. These factors need to be considered when integrating telomere measurement in biobehavioral research studies. OBJECTIVES This article provides a brief summary of the known facts about telomere biology and an integrative review of current human research studies that assessed relationships between psychosocial, environmental, or behavioral factors and telomere length. METHODS An integrative review was conducted to examine human research studies that focused on psychosocial, environmental, and behavioral factors affecting telomere length and telomerase activity using the electronic databases PubMed/Medline and CINAHL from 2003 to the present. In addition to the known individual factors that are associated with telomere length, the results of the integrative review suggest that perceived stress, childhood adversities, major depressive disorder, educational attainment, physical activity, and sleep duration should also be measured. DISCUSSION Multiple factors have been shown to affect telomere length. To advance understanding of the role of telomere length in health and disease risk, it will be important to further elucidate the mechanisms that contribute to telomere shortening.
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