1
|
Romero-Herrera I, Nogales F, Gallego-López MDC, Díaz-Castro J, Carreras O, Ojeda ML. Selenium supplementation via modulation of selenoproteins ameliorates binge drinking-induced oxidative, energetic, metabolic, and endocrine imbalance in adolescent rats' skeletal muscle. Food Funct 2024; 15:7988-8007. [PMID: 38984595 DOI: 10.1039/d4fo01354a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/11/2024]
Abstract
Adolescence is characterized by increased vulnerability to addiction and ethanol (EtOH) toxicity, particularly through binge drinking (BD), a favored acute EtOH-ingestion pattern among teenagers. BD, highly pro-oxidant, induces oxidative stress (OS), affecting skeletal muscle (SKM), where selenium (Se), an antioxidant element and catalytic center of selenoproteins, is stored, among other tissues. Investigating the effects of Se supplementation on SKM after BD exposure holds therapeutic promise. For this, we randomised 32 adolescent Wistar rats into 4 groups, exposed or not to intermittent i.p. BD [BD and control (C)] (3 g EtOH per kg per day), and supplemented with selenite [BDSe and CSe] (0.4 ppm). In SKM, we examined the oxidative balance, energy status (AMPK, SIRT-1), protein turnover (IRS-1, Akt1, mTOR, IGF-1, NF-κB p65, MAFbx, ULK1, pelF2α), serum myokines (myostatin, IL-6, FGF21, irisin, BDNF, IL-15, fractalkine, FSTL-1, FABP-3), and selenoproteins (GPx1, GPx4, SelM, SelP). In the pancreas, we studied the oxidative balance and SIRT-1 expression. Selenite supplementation mitigated BD-induced OS by enhancing the expression of selenoproteins, which restored oxidative balance, notably stimulating protein synthesis and normalizing the myokine profile, leading to improved SKM mass growth and metabolism, and reduced inflammation and apoptosis (caspase-3). Selenite restoration of SelP's receptor LRP1 expression, reduced by BD, outlines the crucial role of SKM in the SelP cycle, linking Se levels to SKM development. Furthermore, Se attenuated pancreatic OS, preserving insulin secretion. Se supplementation shows potential for alleviating SKM damage from BD, with additional beneficial endocrine effects on the pancreas, adipose tissue, liver, heart and brain that position it as a broad-spectrum treatment for adolescent alcohol consumption, preventing metabolic diseases in adulthood.
Collapse
Affiliation(s)
- Inés Romero-Herrera
- Department of Physiology, Faculty of Pharmacy, University of Seville, C/Professor García González 2, 41012-Seville, Spain.
| | - Fátima Nogales
- Department of Physiology, Faculty of Pharmacy, University of Seville, C/Professor García González 2, 41012-Seville, Spain.
| | - María Del Carmen Gallego-López
- Department of Physiology, Faculty of Pharmacy, University of Seville, C/Professor García González 2, 41012-Seville, Spain.
| | - Javier Díaz-Castro
- Institute of Nutrition and Food Technology "José Mataix Verdú", University of Granada, Avenida del Conocimiento s/n, 18071-Armilla, Granada, Spain.
- Department of Physiology, University of Granada, Granada, Spain
| | - Olimpia Carreras
- Department of Physiology, Faculty of Pharmacy, University of Seville, C/Professor García González 2, 41012-Seville, Spain.
| | - María Luisa Ojeda
- Department of Physiology, Faculty of Pharmacy, University of Seville, C/Professor García González 2, 41012-Seville, Spain.
| |
Collapse
|
2
|
Stöger R, Choi M, Begum K, Leeman G, Emes RD, Melamed P, Bentley GR. Childhood environment influences epigenetic age and methylation concordance of a CpG clock locus in British-Bangladeshi migrants. Epigenetics 2023; 18:2153511. [PMID: 36495138 PMCID: PMC9980690 DOI: 10.1080/15592294.2022.2153511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Migration from one location to another often comes with a change in environmental conditions. Here, we analysed features of DNA methylation in young, adult British-Bangladeshi women who experienced different environments during their childhoods: a) migrants, who grew up in Bangladesh with exposure to comparatively higher pathogen loads and poorer health care, and b) second-generation British-Bangladeshis, born to Bangladeshi parents, who grew up in the UK. We used buccal DNA to estimate DNA methylation-based age (DNAm age) from 14 migrants and 11 second-generation migrants, aged 18-35 years. 'AgeAccel,' a measure of DNAm age, independent of chronological age, showed that the group of women who spent their childhood in Bangladesh had higher AgeAccel (P = 0.028), compared to their UK peers. Since epigenetic clocks have been proposed to be associated with maintenance processes of epigenetic systems, we evaluated the preference for concordant DNA methylation at the luteinizing hormone/choriogonadotropin receptor (LHCGR/LHR) locus, which harbours one of the CpGs contributing to Horvath's epigenetic clock. Measurements on both strands of individual, double-stranded DNA molecules indicate higher stability of DNA methylation states at this LHCGR/LHR locus in samples of women who grew up in Bangladesh. Together, our two independent analytical approaches imply that childhood environments may induce subtle changes that are detectable long after exposure occurred, which might reflect altered activity of the epigenetic maintenance system or a difference in the proportion of cell types in buccal tissue. This exploratory work supports our earlier findings that adverse childhood environments lead to phenotypic life history trade-offs.
Collapse
Affiliation(s)
- Reinhard Stöger
- School of Biosciences, University of Nottingham, Nottingham, UK
| | - Minseung Choi
- School of Medicine, Stanford University, Stanford, CA, USA
| | | | - Gregory Leeman
- School of Biosciences, University of Nottingham, Nottingham, UK
| | - Richard D Emes
- School of Veterinary Medicine and Science, University of Nottingham, Nottingham, UK.,Advanced Data Analysis Centre, University of Nottingham, Nottingham, UK
| | - Philippa Melamed
- Faculty of Biology, Technion-Israel Institute of Technology, Haifa, Israel
| | - Gillian R Bentley
- Department of Anthropology, Durham University, Durham, UK.,Wolfson Research Institute for Health and Wellbeing, Durham University, Durham, UK
| |
Collapse
|
3
|
Johansson B, Thorvaldsson V. What Matters and What Matters Most for Survival After age 80? A Multidisciplinary Exploration Based on Twin Data. Front Psychol 2021; 12:723027. [PMID: 34630233 PMCID: PMC8492959 DOI: 10.3389/fpsyg.2021.723027] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 09/03/2021] [Indexed: 11/25/2022] Open
Abstract
Given research and public interest for conditions related to an extended lifespan, we addressed the questions of what matters and what matters most for subsequent survival past age 80. The data was drawn from the population-based and multidisciplinary Swedish OCTO Twin Study, in which a sample (N = 699) consisting of identical and same-sex fraternal twin pairs, followed from age 80 until death, provided detailed data on health, physical functioning, life style, personality, and sociodemographic conditions. Information concerning date of birth and death were obtained from population census register. We estimated heritability using an ACE model and evaluated the role of multiple predictors for the mortality-related hazard rate using Cox regression. Our findings confirmed a low heritability of 12%. As expected, longer survival was associated with being a female, an apolipoprotein E (APOE) e4 allele non-carrier, and a non-smoker. Several diseases were found to be associated with shorter survival (cerebrovascular, dementia, Parkinson's, and diabetes) as well as certain health conditions (high diastolic blood pressure, low body mass index, and hip fracture). Stronger grip and better lung function, as well as better vision (but not hearing), and better cognitive function (self-evaluated and measured) was related to longer survival. Social embeddedness, better self-evaluated health, and life-satisfaction were also significantly associated with longer survival. After controlling for the impact of comorbidity, functional markers, and personality-related predictors, we found that sex, cerebrovascular diseases, compromised cognitive functioning, self-related health, and life-satisfaction remained as strong predictors. Cancer was only associated with the mortality hazard when accounting for other co-morbidities. The survival estimates were mostly in anticipated directions and contained effect sizes within the expected range. Noteworthy, we found that some of the so-called "soft-markers" remained strong predictors, despite a control for other factors. For example, self-evaluation of health and ratings of life-satisfaction provide additional and valuable information.
Collapse
Affiliation(s)
- Boo Johansson
- Department of Psychology and Centre for Ageing and Health (AgeCap), University of Gothenburg, Gothenburg, Sweden
| | | |
Collapse
|
4
|
Blasimme A. The plasticity of ageing and the rediscovery of ground-state prevention. HISTORY AND PHILOSOPHY OF THE LIFE SCIENCES 2021; 43:67. [PMID: 33948779 PMCID: PMC8096726 DOI: 10.1007/s40656-021-00414-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Accepted: 04/07/2021] [Indexed: 05/05/2023]
Abstract
In this paper, I present an emerging explanatory framework about ageing and care. In particular, I focus on how, in contrast to most classical accounts of ageing, biomedicine today construes the ageing process as a modifiable trajectory. This framing turns ageing from a stage of inexorable decline into the focus of preventive strategies, harnessing the functional plasticity of the ageing organism. I illustrate this shift by focusing on studies of the demographic dynamics in human population, observations of ageing as an intraspecifically heterogenous phenotype, and the experimental manipulation of longevity, in both model organisms and humans. I suggest that such an explanatory framework about ageing creates the epistemological conditions for the rise of a peculiar form of prevention that does not aim to address a specific condition. Rather it seeks to stall the age-related accumulation of molecular damage and functional deficits, boosting individual resilience against age-related decline. I call this preventive paradigm "ground-state prevention." While new, ground-state prevention bears conceptual resemblance to forms of medical wisdom prominent in classic Galenic medicine, as well as in the Renaissance period.
Collapse
Affiliation(s)
- Alessandro Blasimme
- Department of Health Sciences and Technology, Swiss Federal Institute of Technology (ETH Zurich), Zurich, Switzerland.
| |
Collapse
|
5
|
Schick T, Lorés-Motta L, Altay L, Fritsche LG, den Hollander AI, Fauser S. The Effect of Genetic Variants Associated With Age-Related Macular Degeneration Varies With Age. Invest Ophthalmol Vis Sci 2020; 61:17. [PMID: 33320170 PMCID: PMC7745630 DOI: 10.1167/iovs.61.14.17] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Purpose The prevalence of age-related macular degeneration (AMD) increases dramatically with age. This large collaborative study investigates the effects of 51 late-AMD-associated genetic variants in different ages, focusing on individuals above the age of 90 years. Methods The study included 27,996 individuals of the International AMD Genomics Consortium; 14,539 showed late AMD (51.9%) and 13,457 were controls (48.1%). Four age groups were compiled: 60 to 69 years, n = 6514, AMD = 2210 (33.9%); 70 to 79 years, n = 12228, AMD = 6217 (51.7%); 80 to 89 years, n = 8285, AMD = 5326 (64.3%); and ≥90 years, n = 969, AMD = 686 (70.8%). The effect sizes of 51 AMD-associated genetic variants were calculated for all age groups and were compared among the age groups. Results Six variants were associated with late AMD in individuals ≥ 90 years of age (P ≤ 0.0006). For rs10922109 and rs570618 (both in CFH), the minor allele (MA) was protective, and minor allele frequency (MAF) increased with age in cases and controls. For rs116503776 in C2/CFB/SKIV2L, the MA was protective, and MAF increased in cases. For rs3750846 in ARMS2/HTRA1, the MA increased risk, and MAF was lower in cases with increasing age. For rs6565597 in NPLOC4/TSPAN10, the MA increased risk. For rs5754227 in SYN3/TIMP3, the MA was protective, and there was no consistent variation in MAF with age. Variants in CFH and ARMS2 showed lower effect sizes at greater age. Interaction analysis showed strong age-related effects for rs570618 (P = 2.24 × 10-7) and rs3750846 (P = 0.001). Total genetic risk was lower in individuals ≥ 90 years old (area under the curve [AUC], 0.795) than in those 70 to 79 years old (AUC, 0.831; P = 0.03). Conclusions Effect sizes and MAF of genetic risk factors for late AMD differed among the age groups. These results could guide future work on AMD risk assessment in older individuals.
Collapse
Affiliation(s)
- Tina Schick
- AugenZentrum Siegburg, MVZ ADTC Siegburg GmbH, Siegburg, Germany.,Department of Ophthalmology, University Hospital of Cologne, Cologne, Germany
| | - Laura Lorés-Motta
- Department of Ophthalmology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, the Netherlands
| | - Lebriz Altay
- Department of Ophthalmology, University Hospital of Cologne, Cologne, Germany
| | - Lars G Fritsche
- Center for Statistical Genetics, Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States
| | - Anneke I den Hollander
- Department of Ophthalmology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, the Netherlands.,Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, the Netherlands
| | - Sascha Fauser
- Department of Ophthalmology, University Hospital of Cologne, Cologne, Germany.,F. Hoffmann-La Roche, Basel, Switzerland
| |
Collapse
|
6
|
Xiong LG, Pan LY, Gong YS, Huang JA, Liu ZH. Fuzhuan Tea protects Caenorhabditis elegans from glucose and advanced glycation end products via distinct pathways. J Funct Foods 2019. [DOI: 10.1016/j.jff.2019.05.040] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
|
7
|
Abstract
Telomeres are specialised structures at the end of linear chromosomes. They consist of tandem repeats of the hexanucleotide sequence TTAGGG, as well as a protein complex called shelterin. Together, they form a protective loop structure against chromosome fusion and degradation. Shortening or damage to telomeres and opening of the loop induce an uncapped state that triggers a DNA damage response resulting in senescence or apoptosis.Average telomere length, usually measured in human blood lymphocytes, was thought to be a biomarker for ageing, survival and mortality. However, it becomes obvious that regulation of telomere length is very complex and involves multiple processes. For example, the "end replication problem" during DNA replication as well as oxidative stress are responsible for the shortening of telomeres. In contrast, telomerase activity can potentially counteract telomere shortening when it is able to access and interact with telomeres. However, while highly active during development and in cancer cells, the enzyme is down-regulated in most human somatic cells with a few exceptions such as human lymphocytes. In addition, telomeres can be transcribed, and the transcription products called TERRA are involved in telomere length regulation.Thus, telomere length and their integrity are regulated at many different levels, and we only start to understand this process under conditions of increased oxidative stress, inflammation and during diseases as well as the ageing process.This chapter aims to describe our current state of knowledge on telomeres and telomerase and their regulation in order to better understand their role for the ageing process.
Collapse
|
8
|
Kumar Y. Understanding the Frontiers of Human Longevity in India: Imperative and Palliative Care. Indian J Palliat Care 2019; 25:455-461. [PMID: 31413464 PMCID: PMC6659526 DOI: 10.4103/ijpc.ijpc_20_19] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
This article provides a theoretical and empirical insight on the study of population aging in India, with the special reference to the causes that have made it extremely significant. It evidently looks into the factors that are extensively associated with the process of population aging and have contributed to the Indian society. Demographically speaking, in the Indian context, the process of demographic transition has resulted from a falling birth rate, a slowing death rate, and spike in life expectancy. In the context of developing countries, the concept of population aging has been brought from developed countries. Initially, the outcomes of demographic transition had been experienced by developed regions followed by the rest of the world. Finally, it examines the consequences of complications that arise due to growth in life expectancy at birth, and further suggests the probable remedies to both strategy developers and policy-makers.
Collapse
Affiliation(s)
- Yatish Kumar
- Department of School and Non-Formal Education, Unit on School Standard and Evaluation, National Institute of Educational Planning and Administration, New Delhi, India
| |
Collapse
|
9
|
Genomic Approach to Understand the Association of DNA Repair with Longevity and Healthy Aging Using Genomic Databases of Oldest-Old Population. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2018; 2018:2984730. [PMID: 29854078 PMCID: PMC5960555 DOI: 10.1155/2018/2984730] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/27/2018] [Accepted: 04/03/2018] [Indexed: 12/16/2022]
Abstract
Aged population is increasing worldwide due to the aging process that is inevitable. Accordingly, longevity and healthy aging have been spotlighted to promote social contribution of aged population. Many studies in the past few decades have reported the process of aging and longevity, emphasizing the importance of maintaining genomic stability in exceptionally long-lived population. Underlying reason of longevity remains unclear due to its complexity involving multiple factors. With advances in sequencing technology and human genome-associated approaches, studies based on population-based genomic studies are increasing. In this review, we summarize recent longevity and healthy aging studies of human population focusing on DNA repair as a major factor in maintaining genome integrity. To keep pace with recent growth in genomic research, aging- and longevity-associated genomic databases are also briefly introduced. To suggest novel approaches to investigate longevity-associated genetic variants related to DNA repair using genomic databases, gene set analysis was conducted, focusing on DNA repair- and longevity-associated genes. Their biological networks were additionally analyzed to grasp major factors containing genetic variants of human longevity and healthy aging in DNA repair mechanisms. In summary, this review emphasizes DNA repair activity in human longevity and suggests approach to conduct DNA repair-associated genomic study on human healthy aging.
Collapse
|
10
|
Nutritional Programming of Lifespan by FOXO Inhibition on Sugar-Rich Diets. Cell Rep 2017; 18:299-306. [PMID: 28076775 PMCID: PMC5263231 DOI: 10.1016/j.celrep.2016.12.029] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2016] [Revised: 10/21/2016] [Accepted: 12/08/2016] [Indexed: 11/20/2022] Open
Abstract
Consumption of unhealthy diets is exacerbating the burden of age-related ill health in aging populations. Such diets can program mammalian physiology to cause long-term, detrimental effects. Here, we show that, in Drosophila melanogaster, an unhealthy, high-sugar diet in early adulthood programs lifespan to curtail later-life survival despite subsequent dietary improvement. Excess dietary sugar promotes insulin-like signaling, inhibits dFOXO-the Drosophila homolog of forkhead box O (FOXO) transcription factors-and represses expression of dFOXO target genes encoding epigenetic regulators. Crucially, dfoxo is required both for transcriptional changes that mark the fly's dietary history and for nutritional programming of lifespan by excess dietary sugar, and this mechanism is conserved in Caenorhabditis elegans. Our study implicates FOXO factors, the evolutionarily conserved determinants of animal longevity, in the mechanisms of nutritional programming of animal lifespan.
Collapse
|
11
|
Eline Slagboom P, van den Berg N, Deelen J. Phenome and genome based studies into human ageing and longevity: An overview. Biochim Biophys Acta Mol Basis Dis 2017; 1864:2742-2751. [PMID: 28951210 DOI: 10.1016/j.bbadis.2017.09.017] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2017] [Revised: 09/11/2017] [Accepted: 09/15/2017] [Indexed: 12/13/2022]
Abstract
Human ageing is an extremely personal process leading across the life course of individuals to large population heterogeneity in the decline of functional capacity, health and lifespan. The extremes of this process are witnessed by the healthy vital 100-year-olds on one end and the 60-year-olds suffering from multiple morbid conditions on the other end of the spectrum. Molecular studies into the basis of this heterogeneity have focused on a range of endpoints and methodological approaches. The phenotype definitions most prominently investigated in these studies are either lifespan-related or biomarker based indices of the biological ageing rate of individuals and their tissues. Unlike for many complex, age-related diseases, consensus on the ultimate set of multi-biomarker ageing or lifespan-related phenotypes for genetic and genomic studies has not been reached yet. Comparable to animal models, hallmarks of age-related disease risk, healthy ageing and longevity include immune and metabolic pathways. Potentially novel genomic regions and pathways have been identified among many (epi)genomic studies into chronological age and studies into human lifespan regulation, with APOE and FOXO3A representing yet the most robust loci. Functional analysis of a handful of genes in cell-based and animal models is ongoing. The way forward in human ageing and longevity studies seems through improvements in the interpretation of the biology of the genome, in application of computational and systems biology, integration with animal models and by harmonization of repeated phenotypic and omics measures in longitudinal and intervention studies. This article is part of a Special Issue entitled: Model Systems of Aging - edited by "Houtkooper Riekelt".
Collapse
Affiliation(s)
- P Eline Slagboom
- Department of Molecular Epidemiology, Leiden University Medical Center, Albinusdreef 2, 2333, ZA, Leiden, The Netherlands.
| | - Niels van den Berg
- Department of Molecular Epidemiology, Leiden University Medical Center, Albinusdreef 2, 2333, ZA, Leiden, The Netherlands.
| | - Joris Deelen
- Department of Molecular Epidemiology, Leiden University Medical Center, Albinusdreef 2, 2333, ZA, Leiden, The Netherlands; Max Planck Institute for Biology of Ageing; Joseph-Stelzmann-Str. 9b, D-50931 Köln (Cologne), Germany.
| |
Collapse
|
12
|
Bacalini MG, Deelen J, Pirazzini C, De Cecco M, Giuliani C, Lanzarini C, Ravaioli F, Marasco E, van Heemst D, Suchiman HED, Slieker R, Giampieri E, Recchioni R, Marcheselli F, Salvioli S, Vitale G, Olivieri F, Spijkerman AMW, Dollé MET, Sedivy JM, Castellani G, Franceschi C, Slagboom PE, Garagnani P. Systemic Age-Associated DNA Hypermethylation of ELOVL2 Gene: In Vivo and In Vitro Evidences of a Cell Replication Process. J Gerontol A Biol Sci Med Sci 2017; 72:1015-1023. [PMID: 27672102 DOI: 10.1093/gerona/glw185] [Citation(s) in RCA: 56] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2015] [Accepted: 08/26/2016] [Indexed: 12/17/2022] Open
Abstract
Epigenetic remodeling is one of the major features of the aging process. We recently demonstrated that DNA methylation of ELOVL2 and FHL2 CpG islands is highly correlated with age in whole blood. Here we investigated several aspects of age-associated hypermethylation of ELOVL2 and FHL2. We showed that ELOVL2 methylation is significantly different in primary dermal fibroblast cultures from donors of different ages. Using epigenomic data from public resources, we demonstrated that most of the tissues show ELOVL2 and FHL2 hypermethylation with age. Interestingly, ELOVL2 hypermethylation was not found in tissues with very low replication rate. We demonstrated that ELOVL2 hypermethylation is associated with in vitro cell replication rather than with senescence. We confirmed intra-individual hypermethylation of ELOVL2 and FHL2 in longitudinally assessed participants from the Doetinchem Cohort Study. Finally we showed that, although the methylation of the two loci is not associated with longevity/mortality in the Leiden Longevity Study, ELOVL2 methylation is associated with cytomegalovirus status in nonagenarians, which could be informative of a higher number of replication events in a fraction of whole-blood cells. Collectively, these results indicate that ELOVL2 methylation is a marker of cell divisions occurring during human aging.
Collapse
Affiliation(s)
- Maria Giulia Bacalini
- Department of Experimental, Diagnostic and Specialty Medicine.,Interdepartmental Center "L. Galvani," University of Bologna, Bologna, Italy.,Personal Genomics S.r.l., Verona, Italy
| | - Joris Deelen
- Department of Molecular Epidemiology, Leiden University Medical Center, The Netherlands.,Max Planck Institute for Biology of Ageing, Köln, Germany
| | - Chiara Pirazzini
- Department of Experimental, Diagnostic and Specialty Medicine.,Interdepartmental Center "L. Galvani," University of Bologna, Bologna, Italy
| | - Marco De Cecco
- Department of Molecular Biology, Cell Biology and Biochemistry, Center for Genomics and Proteomics, Brown University, Providence, Rhode Island
| | | | - Catia Lanzarini
- Department of Experimental, Diagnostic and Specialty Medicine.,Interdepartmental Center "L. Galvani," University of Bologna, Bologna, Italy
| | | | - Elena Marasco
- Department of Experimental, Diagnostic and Specialty Medicine
| | - Diana van Heemst
- Department of Molecular Epidemiology, Leiden University Medical Center, The Netherlands
| | - H Eka D Suchiman
- Department of Molecular Epidemiology, Leiden University Medical Center, The Netherlands
| | - Roderick Slieker
- Department of Molecular Epidemiology, Leiden University Medical Center, The Netherlands
| | - Enrico Giampieri
- Department of Physics and Astronomy, University of Bologna, Italy
| | - Rina Recchioni
- Center of Clinical Pathology and Innovative Therapy, INRCA-IRCCS National Institute, Ancona, Italy
| | - Fiorella Marcheselli
- Center of Clinical Pathology and Innovative Therapy, INRCA-IRCCS National Institute, Ancona, Italy
| | - Stefano Salvioli
- Department of Experimental, Diagnostic and Specialty Medicine.,Interdepartmental Center "L. Galvani," University of Bologna, Bologna, Italy
| | - Giovanni Vitale
- Centro di Ricerche e Tecnologie Biomediche, Istituto Auxologico Italiano IRCCS, Cusano Milanino, Italy.,Department of Clinical Sciences and Community Health, University of Milan, Italy
| | - Fabiola Olivieri
- Center of Clinical Pathology and Innovative Therapy, INRCA-IRCCS National Institute, Ancona, Italy.,Department of Clinical and Molecular Sciences, Università Politecnica delle Marche, Ancona, Italy
| | | | - Martijn E T Dollé
- Centre for Health Protection, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - John M Sedivy
- Department of Molecular Biology, Cell Biology and Biochemistry, Center for Genomics and Proteomics, Brown University, Providence, Rhode Island
| | | | - Claudio Franceschi
- Department of Experimental, Diagnostic and Specialty Medicine.,Department of Clinical and Molecular Sciences, Università Politecnica delle Marche, Ancona, Italy.,IRCCS Institute of Neurological Sciences, Bologna, Italy
| | | | - Paolo Garagnani
- Department of Experimental, Diagnostic and Specialty Medicine.,Interdepartmental Center "L. Galvani," University of Bologna, Bologna, Italy
| |
Collapse
|
13
|
Noordam R, Gunn DA, van Drielen K, Westgate G, Slagboom PE, de Craen AJM, van Heemst D. Both low circulating insulin-like growth factor-1 and high-density lipoprotein cholesterol are associated with hair loss in middle-aged women. Br J Dermatol 2016; 175:728-34. [PMID: 26959288 DOI: 10.1111/bjd.14529] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/02/2016] [Indexed: 11/28/2022]
Abstract
BACKGROUND Multiple biomarkers have been associated with hair loss in women, but studies have shown inconsistent results. OBJECTIVES We investigated the associations between markers of cardiovascular disease risk (e.g. serum lipid levels and hypertension) and ageing [e.g. 25-hydroxyvitamin D and insulin-like growth factor (IGF)] with hair loss in a population of middle-aged women. METHODS In a random subgroup of 323 middle-aged women (mean age 61·5 years) from the Leiden Longevity Study, hair loss was graded by three assessors using the Sinclair scale; women with a mean score > 1·5 were classified as cases with hair loss. RESULTS Every 1 SD increase in high-density lipoprotein (HDL) cholesterol was associated with a 0·65-times lower risk [95% confidence interval (CI) 0·46-0·91] of hair loss. For IGF-1 the risk was 0·68 times lower (95% CI 0·48-0·97) per 1 SD increase, independently of the other studied variables. Women with both IGF-1 and HDL cholesterol levels below the medians of the study population had a 3·47-times higher risk (95% CI 1·30-9·25) of having hair loss. CONCLUSIONS Low HDL cholesterol and IGF-1 were associated with a higher risk of hair loss in women. However, further studies are required to infer causal relationships.
Collapse
Affiliation(s)
- R Noordam
- Department of Gerontology and Geriatrics, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands
| | - D A Gunn
- Unilever Discover, Sharnbrook, Bedfordshire, U.K
| | - K van Drielen
- Department of Gerontology and Geriatrics, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands
| | - G Westgate
- Westgate Consultancy Ltd, Stevington, Bedfordshire, U.K
| | - P E Slagboom
- Section of Molecular Epidemiology, Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands
| | - A J M de Craen
- Department of Gerontology and Geriatrics, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands
| | - D van Heemst
- Department of Gerontology and Geriatrics, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands.
| |
Collapse
|
14
|
Zhang Q, Nogales-Cadenas R, Lin JR, Zhang W, Cai Y, Vijg J, Zhang ZD. Systems-level analysis of human aging genes shed new light on mechanisms of aging. Hum Mol Genet 2016; 25:2934-2947. [PMID: 27179790 DOI: 10.1093/hmg/ddw145] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2016] [Revised: 04/07/2016] [Accepted: 05/09/2016] [Indexed: 11/13/2022] Open
Abstract
Although studies over the last decades have firmly connected a number of genes and molecular pathways to aging, the aging process as a whole still remains poorly understood. To gain novel insights into the mechanisms underlying aging, instead of considering aging genes individually, we studied their characteristics at the systems level in the context of biological networks. We calculated a comprehensive set of network characteristics for human aging-related genes from the GenAge database. By comparing them with other functional groups of genes, we identified a robust group of aging-specific network characteristics. To find the structural basis and the molecular mechanisms underlying this aging-related network specificity, we also analyzed protein domain interactions and gene expression patterns across different tissues. Our study revealed that aging genes not only tend to be network hubs, playing important roles in communication among different functional modules or pathways, but also are more likely to physically interact and be co-expressed with essential genes. The high expression of aging genes across a large number of tissue types also points to a high level of connectivity among aging genes. Unexpectedly, contrary to the depletion of interactions among hub genes in biological networks, we observed close interactions among aging hubs, which renders the aging subnetworks vulnerable to random attacks and thus may contribute to the aging process. Comparison across species reveals the evolution process of the aging subnetwork. As the organisms become more complex, the complexity of its aging mechanisms increases and their aging hub genes are more functionally connected.
Collapse
Affiliation(s)
| | | | | | | | | | - Jan Vijg
- Department of Genetics.,Department of Ophthalmology and Visual Sciences, Albert Einstein College of Medicine, Bronx, NY, USA
| | | |
Collapse
|
15
|
Sierra F. The Emergence of Geroscience as an Interdisciplinary Approach to the Enhancement of Health Span and Life Span. Cold Spring Harb Perspect Med 2016; 6:a025163. [PMID: 26931460 PMCID: PMC4817738 DOI: 10.1101/cshperspect.a025163] [Citation(s) in RCA: 105] [Impact Index Per Article: 13.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Research on the biology of aging has accelerated rapidly in the last two decades. It is now at the point where translation of the findings into useful approaches to improve the health of the elderly population seems possible. In trying to fill that gap, a new field termed geroscience will be articulated here that attempts to identify the biological underpinnings for the age-dependency of most chronic diseases. Herein, I will review the major conceptual issues leading to the formulation of geroscience as a field, as well as give examples of current areas of inquiry in which basic aging biology research could lead to therapeutic approaches to address age-related chronic diseases, not one at a time, but most of them in unison.
Collapse
Affiliation(s)
- Felipe Sierra
- Division of Aging Biology, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, 20892
| |
Collapse
|
16
|
Passtoors WM, van den Akker EB, Deelen J, Maier AB, van der Breggen R, Jansen R, Trompet S, van Heemst D, Derhovanessian E, Pawelec G, van Ommen GJB, Slagboom PE, Beekman M. IL7R gene expression network associates with human healthy ageing. IMMUNITY & AGEING 2015; 12:21. [PMID: 26566388 PMCID: PMC4642670 DOI: 10.1186/s12979-015-0048-6] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/07/2015] [Accepted: 10/29/2015] [Indexed: 01/29/2023]
Abstract
Background The level of expression of the interleukin 7 receptor (IL7R) gene in blood has recently been found to be associated with familial longevity and healthy ageing. IL7R is crucial for T cell development and important for immune competence. To further investigate the IL7R pathway in ageing, we identified the closest interacting genes to construct an IL7R gene network that consisted of IL7R and six interacting genes: IL2RG, IL7, TSLP, CRLF2, JAK1 and JAK3. This network was explored for association with chronological age, familial longevity and immune-related diseases (type 2 diabetes, chronic obstructive pulmonary disease and rheumatoid arthritis) in 87 nonagenarians, 337 of their middle-aged offspring and 321 middle-aged controls from the Leiden Longevity Study (LLS). Results We observed that expression levels within the IL7R gene network were significantly different between the nonagenarians and middle-aged controls (P = 4.6 × 10−4), being driven by significantly lower levels of expression in the elderly of IL7, IL2RG and IL7R. After adjustment for multiple testing and white blood cell composition and in comparison with similarly aged controls, middle-aged offspring of nonagenarian siblings exhibit a lower expression level of IL7R only (P = 0.006). Higher IL7R gene expression in the combined group of middle-aged offspring and controls is associated with a higher prevalence of immune-related disease (P = 0.001). On the one hand, our results indicate that lower IL7R expression levels, as exhibited by the members of long-lived families that can be considered as ‘healthy agers’, are beneficial in middle age. This is augmented by the observation that higher IL7R gene expression associates with immune-related disease. On the other hand, IL7R gene expression in blood is lower in older individuals, indicating that low IL7R gene expression might associate with reduced health. Interestingly, this contradictory result is supported by the observation that a higher IL7R gene expression level is associated with better prospective survival, both in the nonagenarians (Hazard ratio (HR) = 0.63, P = 0.037) and the middle-aged individuals (HR = 0.33, P = 1.9 × 10–4). Conclusions Overall, we conclude that the IL7R network reflected by gene expression levels in blood may be involved in the rate of ageing and health status of elderly individuals. Electronic supplementary material The online version of this article (doi:10.1186/s12979-015-0048-6) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Willemijn M Passtoors
- Section of Molecular Epidemiology, Leiden University Medical Center, Zone S5-P, P.O. Box 9600, 2300 RC Leiden, The Netherlands
| | - Erik B van den Akker
- Section of Molecular Epidemiology, Leiden University Medical Center, Zone S5-P, P.O. Box 9600, 2300 RC Leiden, The Netherlands ; The Delft Bioinformatics Lab, Delft University of Technology, 2600 GA Delft, The Netherlands
| | - Joris Deelen
- Section of Molecular Epidemiology, Leiden University Medical Center, Zone S5-P, P.O. Box 9600, 2300 RC Leiden, The Netherlands ; Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, P.O. Box 9600, 2300 RC Leiden, The Netherlands
| | - Andrea B Maier
- Section of Gerontology and Geriatrics, Department of Internal Medicine, VU University Medical Center, Amsterdam, Netherlands
| | - Ruud van der Breggen
- Section of Molecular Epidemiology, Leiden University Medical Center, Zone S5-P, P.O. Box 9600, 2300 RC Leiden, The Netherlands
| | - Rick Jansen
- Department of Psychiatry, VU University Medical Center, Neuroscience Campus Amsterdam, 1081 BT Amsterdam, The Netherlands
| | - Stella Trompet
- Department of Cardiology, Leiden University Medical Center, P.O. Box 9600, 2300 RC Leiden, The Netherlands ; Department of Gerontology and Geriatrics, Leiden University Medical Center, P.O. Box 9600, 2300 RC Leiden, The Netherlands
| | - Diana van Heemst
- Department of Gerontology and Geriatrics, Leiden University Medical Center, P.O. Box 9600, 2300 RC Leiden, The Netherlands
| | | | - Graham Pawelec
- Center for Medical Research, University of Tübingen, 72072 Tübingen, Germany
| | - Gert-Jan B van Ommen
- Center for Human and Clinical Genetics, Leiden University Medical Center, P.O. Box 9600, 2300 RC Leiden, The Netherlands ; The Netherlands Center for Medical Systems Biology, Leiden, The Netherlands
| | - P Eline Slagboom
- Section of Molecular Epidemiology, Leiden University Medical Center, Zone S5-P, P.O. Box 9600, 2300 RC Leiden, The Netherlands ; Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, P.O. Box 9600, 2300 RC Leiden, The Netherlands
| | - Marian Beekman
- Section of Molecular Epidemiology, Leiden University Medical Center, Zone S5-P, P.O. Box 9600, 2300 RC Leiden, The Netherlands ; Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, P.O. Box 9600, 2300 RC Leiden, The Netherlands
| |
Collapse
|
17
|
Bediaga NG, Aznar JM, Elcoroaristizabal X, Albóniga O, Gómez-Busto F, Artaza Artabe I, Rocandio A, de Pancorbo MM. Associations between STR autosomal markers and longevity. AGE (DORDRECHT, NETHERLANDS) 2015; 37:95. [PMID: 26335621 PMCID: PMC5005826 DOI: 10.1007/s11357-015-9818-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2015] [Accepted: 07/16/2015] [Indexed: 06/05/2023]
Abstract
Life span is a complex and multifactorial trait, which is shaped by genetic, epigenetic, environmental, and stochastic factors. The possibility that highly hypervariable short tandem repeats (STRs) associated with longevity has been largely explored by comparing the genotypic pools of long lived and younger individuals, but results so far have been contradictory. In view of these contradictory findings, the present study aims to investigate whether HUMTHO1 and HUMCSF1PO STRs, previously associated with longevity, exert a role as a modulator of life expectancy, as well as to assess the extent to which other autosomal STR markers are associated with human longevity in population from northern Spain. To that end, 21 autosomal microsatellite markers have been studied in 304 nonagenarian individuals (more than 90 years old) and 516 younger controls of European descent. Our results do not confirm the association found in previous studies between longevity and THO1 and CSF1PO loci. However, significant association between longevity and autosomal STR markers D12S391, D22S1045, and DS441 was observed. Even more, when we compared allelic frequency distribution of the 21 STR markers between cases and controls, we found that 6 out of the 21 STRs studied showed different allelic frequencies, thus suggesting that the genomic portrait of the human longevity is far complex and probably shaped by a high number of genomic loci.
Collapse
Affiliation(s)
- N. G. Bediaga
- BIOMICs Research Group, Lascaray Research Center, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - J. M. Aznar
- BIOMICs Research Group, Lascaray Research Center, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - X. Elcoroaristizabal
- BIOMICs Research Group, Lascaray Research Center, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - O. Albóniga
- BIOMICs Research Group, Lascaray Research Center, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - F. Gómez-Busto
- Integral de Atención a Mayores (C.I.A.M.) “San Prudencio”, Center (CIAM) “San Prudencio”, Vitoria-Gasteiz, Spain
| | - I. Artaza Artabe
- Residencia y Unidad Sociosanitaria Orue, Amorebieta, Vizcaya Spain
| | - Ana Rocandio
- BIOMICs Research Group, Lascaray Research Center, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - M. M. de Pancorbo
- BIOMICs Research Group, Lascaray Research Center, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| |
Collapse
|
18
|
Sharples AP, Hughes DC, Deane CS, Saini A, Selman C, Stewart CE. Longevity and skeletal muscle mass: the role of IGF signalling, the sirtuins, dietary restriction and protein intake. Aging Cell 2015; 14:511-23. [PMID: 25866088 PMCID: PMC4531066 DOI: 10.1111/acel.12342] [Citation(s) in RCA: 145] [Impact Index Per Article: 16.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/03/2015] [Indexed: 12/11/2022] Open
Abstract
Advancing age is associated with a progressive loss of skeletal muscle (SkM) mass and function. Given the worldwide aging demographics, this is a major contributor to morbidity, escalating socio-economic costs and ultimately mortality. Previously, it has been established that a decrease in regenerative capacity in addition to SkM loss with age coincides with suppression of insulin/insulin-like growth factor signalling pathways. However, genetic or pharmacological modulations of these highly conserved pathways have been observed to significantly enhance life and healthspan in various species, including mammals. This therefore provides a controversial paradigm in which reduced regenerative capacity of skeletal muscle tissue with age potentially promotes longevity of the organism. This paradox will be assessed and considered in the light of the following: (i) the genetic knockout, overexpression and pharmacological models that induce lifespan extension (e.g. IRS-1/s6K KO, mTOR inhibition) versus the important role of these signalling pathways in SkM growth and adaptation; (ii) the role of the sirtuins (SIRTs) in longevity versus their emerging role in SkM regeneration and survival under catabolic stress; (iii) the role of dietary restriction and its impact on longevity versus skeletal muscle mass regulation; (iv) the crosstalk between cellular energy metabolism (AMPK/TSC2/SIRT1) and survival (FOXO) versus growth and repair of SkM (e.g. AMPK vs. mTOR); and (v) the impact of protein feeding in combination with dietary restriction will be discussed as a potential intervention to maintain SkM mass while increasing longevity and enabling healthy aging.
Collapse
Affiliation(s)
- Adam P. Sharples
- Stem Cells, Ageing & Molecular Physiology Unit; Research Institute for Sport and Exercise Sciences (RISES); Exercise Metabolism and Adaptation Research Group (EMARG); Liverpool John Moores University; Tom Reilly Building Liverpool L3 3AF UK
| | - David C. Hughes
- Stem Cells, Ageing & Molecular Physiology Unit; Research Institute for Sport and Exercise Sciences (RISES); Exercise Metabolism and Adaptation Research Group (EMARG); Liverpool John Moores University; Tom Reilly Building Liverpool L3 3AF UK
- Department of Neurobiology, Physiology and Behavior; University of California; Davis California CA 95616 USA
| | - Colleen S. Deane
- MRC/ARUK Centre of Excellence for Musculoskeletal Ageing Research; School of Medicine; University of Nottingham; Royal Derby Hospital; Derby DE22 3DT UK
- School of Health and Social Care; Bournemouth University; Bournemouth BH12 5BB UK
| | - Amarjit Saini
- Department of Physiology and Pharmacology; Karolinska Institutet; Stockholm 171 77 Sweden
| | - Colin Selman
- Glasgow Ageing Research Network (GARNER); Institute of Biodiversity, Animal Health and Comparative Medicine; College of Medicine, Veterinary and Life Sciences; University of Glasgow; Glasgow G12 8QQ UK
| | - Claire E. Stewart
- Stem Cells, Ageing & Molecular Physiology Unit; Research Institute for Sport and Exercise Sciences (RISES); Exercise Metabolism and Adaptation Research Group (EMARG); Liverpool John Moores University; Tom Reilly Building Liverpool L3 3AF UK
| |
Collapse
|
19
|
Castillo-Quan JI, Kinghorn KJ, Bjedov I. Genetics and pharmacology of longevity: the road to therapeutics for healthy aging. ADVANCES IN GENETICS 2015; 90:1-101. [PMID: 26296933 DOI: 10.1016/bs.adgen.2015.06.002] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Aging can be defined as the progressive decline in tissue and organismal function and the ability to respond to stress that occurs in association with homeostatic failure and the accumulation of molecular damage. Aging is the biggest risk factor for human disease and results in a wide range of aging pathologies. Although we do not completely understand the underlying molecular basis that drives the aging process, we have gained exceptional insights into the plasticity of life span and healthspan from the use of model organisms such as the worm Caenorhabditis elegans and the fruit fly Drosophila melanogaster. Single-gene mutations in key cellular pathways that regulate environmental sensing, and the response to stress, have been identified that prolong life span across evolution from yeast to mammals. These genetic manipulations also correlate with a delay in the onset of tissue and organismal dysfunction. While the molecular genetics of aging will remain a prosperous and attractive area of research in biogerontology, we are moving towards an era defined by the search for therapeutic drugs that promote healthy aging. Translational biogerontology will require incorporation of both therapeutic and pharmacological concepts. The use of model organisms will remain central to the quest for drug discovery, but as we uncover molecular processes regulated by repurposed drugs and polypharmacy, studies of pharmacodynamics and pharmacokinetics, drug-drug interactions, drug toxicity, and therapeutic index will slowly become more prevalent in aging research. As we move from genetics to pharmacology and therapeutics, studies will not only require demonstration of life span extension and an underlying molecular mechanism, but also the translational relevance for human health and disease prevention.
Collapse
Affiliation(s)
- Jorge Iván Castillo-Quan
- Department of Molecular Neuroscience, Institute of Neurology, University College London, London, UK; Institute of Healthy Ageing, Department of Genetics, Evolution and Environment, University College London, London, UK
| | - Kerri J Kinghorn
- Department of Molecular Neuroscience, Institute of Neurology, University College London, London, UK; Institute of Healthy Ageing, Department of Genetics, Evolution and Environment, University College London, London, UK
| | - Ivana Bjedov
- Cancer Institute, University College London, London, UK
| |
Collapse
|
20
|
Dong Y, Li ZD, Fang XY, Shi XF, Chen S, Tang X. Association between SERPING1 rs2511989 polymorphism and age-related macular degeneration: Meta-analysis. Int J Ophthalmol 2015; 8:385-94. [PMID: 25938061 DOI: 10.3980/j.issn.2222-3959.2015.02.31] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2014] [Accepted: 11/19/2014] [Indexed: 11/02/2022] Open
Abstract
AIM To investigate the association between SERPING1 rs2511989 (G>A) polymorphism and age-related macular degeneration (AMD). METHODS A number of electronic databases (up to July 15, 2014) were searched independently by two investigators. A Meta-analysis was performed on the association between SERPING1 rs2511989 polymorphism and AMD. Pooled odds ratios (ORs) with 95% confidence intervals (CIs) were estimated. RESULTS Eight studies with 16 cohorts consisting of 9163 cases and 6813 controls were included in this Meta-analysis. There was no significant association between rs2511989 polymorphism and AMD under all genetic models in overall estimates (A vs G: OR= 0.938, 95%CI =0.858-1.025; AA vs GG:OR =0.871, 95%CI =0.719-1.056; AG vs GG: OR =0.944, 95%CI =0.845-1.054; AA+AG vs GG: OR =0.927, 95% CI =0.823-1.044; AA vs AG+GG: OR =0.890, 95%CI =0.780-1.034). Cumulative Meta-analyses also showed a trend of no association between rs2511989 polymorphism and AMD as information accumulated by year. Subgroup analysis and Meta-regression analysis indicated that age-matching status was the main source of heterogeneity. Sensitivity analysis found the results in overall comparisons and subgroup comparisons of white subjects under the allele model were found to have significantly statistical differences after studies deviating from Hardy-Weinberg equilibrium (HWE) were excluded (overall: OR=0.918, 95%CI = 0.844-0.999, P =0.049; whites: OR =0.901, 95%CI = 0.817-0.994, P =0.038). However, the results were not sufficiently robust for further sensitivity analysis and statistical differences disappeared on applying Bonferroni correction (with a significance level set at 0.05/25). CONCLUSION This Meta-analysis indicates that SERPING1 rs2511989 polymorphism and AMD tend to have no association with each other. Age matching status is a big confounding factor, and more studies with subtle designs are warranted in future.
Collapse
Affiliation(s)
- Yi Dong
- Tianjin Medical University, Tianjin 300070, China ; Clinical College of Ophthalmology, Tianjin Medical University, Tianjin Eye Hospital, Tianjin 300020, China
| | - Ze-Dong Li
- Tianjin Medical University, Tianjin 300070, China ; Clinical College of Ophthalmology, Tianjin Medical University, Tianjin Eye Hospital, Tianjin 300020, China
| | - Xin-Yu Fang
- Department of Epidemiology and Statistics, School of Public Health, Anhui Medical University, Hefei 230032, Anhui Province, China
| | - Xue-Feng Shi
- Clinical College of Ophthalmology, Tianjin Medical University, Tianjin Eye Hospital, Tianjin 300020, China
| | - Song Chen
- Clinical College of Ophthalmology, Tianjin Medical University, Tianjin Eye Hospital, Tianjin 300020, China
| | - Xin Tang
- Clinical College of Ophthalmology, Tianjin Medical University, Tianjin Eye Hospital, Tianjin 300020, China
| |
Collapse
|
21
|
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).
Collapse
|
22
|
Deelen J, Beekman M, Uh HW, Broer L, Ayers KL, Tan Q, Kamatani Y, Bennet AM, Tamm R, Trompet S, Guðbjartsson DF, Flachsbart F, Rose G, Viktorin A, Fischer K, Nygaard M, Cordell HJ, Crocco P, van den Akker EB, Böhringer S, Helmer Q, Nelson CP, Saunders GI, Alver M, Andersen-Ranberg K, Breen ME, van der Breggen R, Caliebe A, Capri M, Cevenini E, Collerton JC, Dato S, Davies K, Ford I, Gampe J, Garagnani P, de Geus EJC, Harrow J, van Heemst D, Heijmans BT, Heinsen FA, Hottenga JJ, Hofman A, Jeune B, Jonsson PV, Lathrop M, Lechner D, Martin-Ruiz C, Mcnerlan SE, Mihailov E, Montesanto A, Mooijaart SP, Murphy A, Nohr EA, Paternoster L, Postmus I, Rivadeneira F, Ross OA, Salvioli S, Sattar N, Schreiber S, Stefánsson H, Stott DJ, Tiemeier H, Uitterlinden AG, Westendorp RGJ, Willemsen G, Samani NJ, Galan P, Sørensen TIA, Boomsma DI, Jukema JW, Rea IM, Passarino G, de Craen AJM, Christensen K, Nebel A, Stefánsson K, Metspalu A, Magnusson P, Blanché H, Christiansen L, Kirkwood TBL, van Duijn CM, Franceschi C, Houwing-Duistermaat JJ, Slagboom PE. Genome-wide association meta-analysis of human longevity identifies a novel locus conferring survival beyond 90 years of age. Hum Mol Genet 2014; 23:4420-32. [PMID: 24688116 PMCID: PMC4103672 DOI: 10.1093/hmg/ddu139] [Citation(s) in RCA: 173] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
The genetic contribution to the variation in human lifespan is ∼25%. Despite the large number of identified disease-susceptibility loci, it is not known which loci influence population mortality. We performed a genome-wide association meta-analysis of 7729 long-lived individuals of European descent (≥85 years) and 16 121 younger controls (<65 years) followed by replication in an additional set of 13 060 long-lived individuals and 61 156 controls. In addition, we performed a subset analysis in cases aged ≥90 years. We observed genome-wide significant association with longevity, as reflected by survival to ages beyond 90 years, at a novel locus, rs2149954, on chromosome 5q33.3 (OR = 1.10, P = 1.74 × 10−8). We also confirmed association of rs4420638 on chromosome 19q13.32 (OR = 0.72, P = 3.40 × 10−36), representing the TOMM40/APOE/APOC1 locus. In a prospective meta-analysis (n = 34 103), the minor allele of rs2149954 (T) on chromosome 5q33.3 associates with increased survival (HR = 0.95, P = 0.003). This allele has previously been reported to associate with low blood pressure in middle age. Interestingly, the minor allele (T) associates with decreased cardiovascular mortality risk, independent of blood pressure. We report on the first GWAS-identified longevity locus on chromosome 5q33.3 influencing survival in the general European population. The minor allele of this locus associates with low blood pressure in middle age, although the contribution of this allele to survival may be less dependent on blood pressure. Hence, the pleiotropic mechanisms by which this intragenic variation contributes to lifespan regulation have to be elucidated.
Collapse
Affiliation(s)
- Joris Deelen
- Department of Molecular Epidemiology, Netherlands Consortium for Healthy Ageing
| | - Marian Beekman
- Department of Molecular Epidemiology, Netherlands Consortium for Healthy Ageing
| | - Hae-Won Uh
- Department of Medical Statistics and Bioinformatics
| | - Linda Broer
- Netherlands Consortium for Healthy Ageing, Department of Epidemiology and
| | - Kristin L Ayers
- Institute of Genetic Medicine, International Centre for Life, Newcastle University, Newcastle upon Tyne NE1 3BZ, UK
| | - Qihua Tan
- Epidemiology, Institute of Public Health and Department of Clinical Genetics and
| | | | - Anna M Bennet
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm SE-171 77, Sweden
| | - Riin Tamm
- Estonian Genome Center and Institute of Molecular and Cell Biology, University of Tartu, Tartu 51010, Estonia
| | - Stella Trompet
- Department of Cardiology and Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden 2300 RC, The Netherlands
| | | | | | - Giuseppina Rose
- Department of Biology, Ecology and Earth Science, University of Calabria, Rende 87036, Italy
| | - Alexander Viktorin
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm SE-171 77, Sweden
| | | | - Marianne Nygaard
- Epidemiology, Institute of Public Health and Department of Clinical Genetics and
| | - Heather J Cordell
- Institute of Genetic Medicine, International Centre for Life, Newcastle University, Newcastle upon Tyne NE1 3BZ, UK
| | - Paolina Crocco
- Department of Biology, Ecology and Earth Science, University of Calabria, Rende 87036, Italy
| | - Erik B van den Akker
- Department of Molecular Epidemiology, Delft Bioinformatics Lab, Delft University of Technology, Delft 2600 GA, The Netherlands
| | | | | | - Christopher P Nelson
- Department of Cardiovascular Sciences, University of Leicester, Leicester LE3 9QP, UK National Institute for Health Research Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester LE3 9QP, UK
| | - Gary I Saunders
- Human and Vertebrate Analysis and Annotation, The Wellcome Trust Sanger Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Maris Alver
- Estonian Genome Center and Institute of Molecular and Cell Biology, University of Tartu, Tartu 51010, Estonia
| | | | - Marie E Breen
- School of Medicine, Dentistry and Biomedical Science, Queens University Belfast, Belfast BT9 7BL, UK Department of Psychiatry, University of Iowa, Iowa City, IA 52242, USA
| | | | - Amke Caliebe
- Institute of Medical Informatics and Statistics, Christian-Albrechts-University, Kiel 24105, Germany
| | - Miriam Capri
- Department of Experimental, Diagnostic and Specialty Medicine and
| | - Elisa Cevenini
- Department of Experimental, Diagnostic and Specialty Medicine and
| | - Joanna C Collerton
- Institute for Ageing and Health, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne NE4 5PL, UK
| | - Serena Dato
- Department of Biology, Ecology and Earth Science, University of Calabria, Rende 87036, Italy
| | - Karen Davies
- Institute for Ageing and Health, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne NE4 5PL, UK
| | - Ian Ford
- Robertson Center for Biostatistics and
| | - Jutta Gampe
- Laboratory of Statistical Demography, Max Planck Institute for Demographic Research, Rostock 18057, Germany
| | - Paolo Garagnani
- Department of Experimental, Diagnostic and Specialty Medicine and
| | - Eco J C de Geus
- Department of Biological Psychology, VU University Amsterdam, Amsterdam 1081 BT, The Netherlands EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam 1081 BT, The Netherlands
| | - Jennifer Harrow
- Human and Vertebrate Analysis and Annotation, The Wellcome Trust Sanger Institute, The Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Diana van Heemst
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden 2300 RC, The Netherlands
| | - Bastiaan T Heijmans
- Department of Molecular Epidemiology, Netherlands Consortium for Healthy Ageing
| | | | - Jouke-Jan Hottenga
- Department of Biological Psychology, VU University Amsterdam, Amsterdam 1081 BT, The Netherlands
| | - Albert Hofman
- Netherlands Consortium for Healthy Ageing, Department of Epidemiology and
| | | | - Palmi V Jonsson
- Geriatrics, Landspitali University Hospital, Reykjavik 101, Iceland Faculty of Medicine, University of Iceland, Reykjavik 101, Iceland
| | - Mark Lathrop
- Fondation Jean Dausset-CEPH, Paris 75010, France EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam 1081 BT, The Netherlands McGill University and Génome Québec Innovation Centre, Montréal, Québec, Canada H3A 1A4
| | | | - Carmen Martin-Ruiz
- Institute for Ageing and Health, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne NE4 5PL, UK
| | - Susan E Mcnerlan
- School of Medicine, Dentistry and Biomedical Science, Queens University Belfast, Belfast BT9 7BL, UK Cytogenetics Laboratory, Belfast Health and Social Care Trust, Belfast BT8 8BH, UK
| | - Evelin Mihailov
- Estonian Genome Center and Estonian Biocentre, Tartu 51010, Estonia
| | - Alberto Montesanto
- Department of Biology, Ecology and Earth Science, University of Calabria, Rende 87036, Italy
| | - Simon P Mooijaart
- Netherlands Consortium for Healthy Ageing, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden 2300 RC, The Netherlands
| | - Anne Murphy
- School of Medicine, Dentistry and Biomedical Science, Queens University Belfast, Belfast BT9 7BL, UK
| | - Ellen A Nohr
- Section for Epidemiology, Department of Public Health, Aarhus University, Aarhus C DK-8000, Denmark Department of Gynecology and Obstetrics, Institute of Clinical Research, University of Southern Denmark, Odense C DK-5000, Denmark
| | - Lavinia Paternoster
- MRC Centre for Causal Analyses in Translational Epidemiology, School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | - Iris Postmus
- Netherlands Consortium for Healthy Ageing, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden 2300 RC, The Netherlands
| | - Fernando Rivadeneira
- Netherlands Consortium for Healthy Ageing, Department of Epidemiology and Department of Internal Medicine, Erasmus Medical Center, Rotterdam 3000 CA, The Netherlands
| | - Owen A Ross
- School of Medicine, Dentistry and Biomedical Science, Queens University Belfast, Belfast BT9 7BL, UK Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA
| | - Stefano Salvioli
- Department of Experimental, Diagnostic and Specialty Medicine and
| | - Naveed Sattar
- BHF Glasgow Cardiovascular Research Centre, Faculty of Medicine, University of Glasgow, Glasgow G12 8TA, UK
| | - Stefan Schreiber
- Institute of Clinical Molecular Biology and PopGen Biobank, Christian-Albrechts-University and University Hospital Schleswig-Holstein, Kiel 24105, Germany
| | | | - David J Stott
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow G12 8QQ, UK
| | - Henning Tiemeier
- Netherlands Consortium for Healthy Ageing, Department of Epidemiology and Department of Child and Adolescent Psychiatry, Erasmus Medical Center-Sophia Children's Hospital, Rotterdam 3000 CA, The Netherlands
| | - André G Uitterlinden
- Netherlands Consortium for Healthy Ageing, Department of Epidemiology and Department of Internal Medicine, Erasmus Medical Center, Rotterdam 3000 CA, The Netherlands
| | - Rudi G J Westendorp
- Netherlands Consortium for Healthy Ageing, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden 2300 RC, The Netherlands
| | - Gonneke Willemsen
- Department of Biological Psychology, VU University Amsterdam, Amsterdam 1081 BT, The Netherlands
| | - Nilesh J Samani
- Department of Cardiovascular Sciences, University of Leicester, Leicester LE3 9QP, UK National Institute for Health Research Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester LE3 9QP, UK
| | - Pilar Galan
- Université Sorbonne Paris Cité-UREN (Unité de Recherche en Epidémiologie Nutritionnelle), U557 Inserm; U1125 Inra; Cnam; Université Paris 13, CRNH IdF, Bobigny 93017, France
| | - Thorkild I A Sørensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section on Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen N DK-2200, Denmark Institute of Preventive Medicine, Bispebjerg and Frederiksberg University Hospitals, Frederiksberg DK-2000, Denmark
| | - Dorret I Boomsma
- Department of Biological Psychology, VU University Amsterdam, Amsterdam 1081 BT, The Netherlands
| | - J Wouter Jukema
- Department of Cardiology and Interuniversity Cardiology Institute of the Netherlands, Utrecht 3501 DG, The Netherlands
| | - Irene Maeve Rea
- School of Medicine, Dentistry and Biomedical Science, Queens University Belfast, Belfast BT9 7BL, UK
| | - Giuseppe Passarino
- Department of Biology, Ecology and Earth Science, University of Calabria, Rende 87036, Italy
| | - Anton J M de Craen
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden 2300 RC, The Netherlands
| | - Kaare Christensen
- Epidemiology, Institute of Public Health and Department of Clinical Genetics and Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense C DK-5000, Denmark
| | | | - Kári Stefánsson
- Population Genomics, deCODE Genetics, Reykjavík 101, Iceland
| | - Andres Metspalu
- Estonian Genome Center and Institute of Molecular and Cell Biology, University of Tartu, Tartu 51010, Estonia Estonian Biocentre, Tartu 51010, Estonia
| | - Patrik Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm SE-171 77, Sweden
| | | | - Lene Christiansen
- Epidemiology, Institute of Public Health and Department of Clinical Genetics and
| | - Thomas B L Kirkwood
- Institute for Ageing and Health, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne NE4 5PL, UK
| | | | - Claudio Franceschi
- Department of Experimental, Diagnostic and Specialty Medicine and Interdepartmental Centre 'L. Galvani', University of Bologna, Bologna 40126, Italy IRCCS Institute of Neurological Science, Bellaria Hospital, Bologna 40139, Italy CNR-ISOF, Bologna 40129, Italy
| | | | - P Eline Slagboom
- Department of Molecular Epidemiology, Netherlands Consortium for Healthy Ageing,
| |
Collapse
|
23
|
Morris BJ, Donlon TA, He Q, Grove JS, Masaki KH, Elliott A, Willcox DC, Willcox BJ. Association analyses of insulin signaling pathway gene polymorphisms with healthy aging and longevity in Americans of Japanese ancestry. J Gerontol A Biol Sci Med Sci 2014; 69:270-3. [PMID: 23770741 PMCID: PMC3968832 DOI: 10.1093/gerona/glt082] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2013] [Accepted: 05/11/2013] [Indexed: 01/11/2023] Open
Abstract
Evidence from model organisms suggests that the insulin/IGF-1 signaling pathway has an important, evolutionarily conserved influence over rate of aging and thus longevity. In humans, the FOXO3 gene is the only widely replicated insulin/IGF-1 signaling pathway gene associated with longevity across multiple populations. Therefore, we conducted a nested case-control study of other insulin/IGF-1 signaling genes and longevity, utilizing a large, homogeneous, long-lived population of American men of Japanese ancestry, well characterized for aging phenotypes. Genotyping was performed of single nucleotide polymorphisms, tagging most of the genetic variation across several genes in the insulin/IGF-1 signaling pathway or related gene networks that may be influenced by FOXO3, namely, ATF4, CBL, CDKN2, EXO1, and JUN. Two initial, marginal associations with longevity did not remain significant after correction for multiple comparisons, nor were they correlated with aging-related phenotypes.
Collapse
Affiliation(s)
- Brian J Morris
- DSc Honolulu Heart Program (HHP)/Honolulu-Asia Aging Study (HAAS), Kuakini Medical Center, 347 North Kuakini Street, HPM-9, Honolulu, Hawaii 96817.
| | | | | | | | | | | | | | | |
Collapse
|
24
|
Chedraui P, Pérez-López FR. Nutrition and health during mid-life: searching for solutions and meeting challenges for the aging population. Climacteric 2014; 16 Suppl 1:85-95. [PMID: 23651240 DOI: 10.3109/13697137.2013.802884] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Interactions between genetic (genome) and environmental factors (epigenome) operate during a person's entire lifespan. The aging process is associated with several cellular and organic functional alterations that, at the end, cause multi-organic cell failure. Epigenetic mechanisms of aging are modifiable by appropriate preventive actions mediated by sirtuins, caloric input, diet components, adipose tissue-related inflammatory reactions, and physical activity. The Mediterranean lifestyle has been for many millennia a daily habit for people in Western civilizations living around the Mediterranean sea who worked intensively and survived with very few seasonal foods. A high adherence to the traditional Mediterranean diet is associated with low mortality (higher longevity) and reduced risk of developing chronic diseases, including cancer, the metabolic syndrome, depression and cardiovascular and neurodegenerative diseases. Reports indicate that some dietary components, such as olive oil, antioxidants, omega-3 and -6 polyunsaturated acids, polyphenols and flavonoids, mediate beneficial anti-aging effects (anti-chronic diseases and increased longevity). Equally, physical activity displays a positive effect, producing caloric consumption and regulation of adipose and pancreatic function. The predictive strength of some food patterns may be a way of developing recommendations for food and health policies. This paper will discuss several ways of improving health during mid-life, focusing on certain groups of functional foods and healthy habits which may reduce or prevent age-related chronic diseases.
Collapse
Affiliation(s)
- P Chedraui
- Institute of Biomedicine, Research Area for Women's Health, Facultad de Medicina, Universidad Católica de Santiago de Guayaquil, Guayaquil, Ecuador
| | | |
Collapse
|
25
|
Deelen J, Beekman M, Codd V, Trompet S, Broer L, Hägg S, Fischer K, Thijssen PE, Suchiman HED, Postmus I, Uitterlinden AG, Hofman A, de Craen AJM, Metspalu A, Pedersen NL, van Duijn CM, Jukema JW, Houwing-Duistermaat JJ, Samani NJ, Slagboom PE. Leukocyte telomere length associates with prospective mortality independent of immune-related parameters and known genetic markers. Int J Epidemiol 2014; 43:878-86. [PMID: 24425829 PMCID: PMC4052133 DOI: 10.1093/ije/dyt267] [Citation(s) in RCA: 87] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Background: Human leukocyte telomere length (LTL) decreases with age and shorter LTL has previously been associated with increased prospective mortality. However, it is not clear whether LTL merely marks the health status of an individual by its association with parameters of immune function, for example, or whether telomere shortening also contributes causally to lifespan variation in humans. Methods: We measured LTL in 870 nonagenarian siblings (mean age 93 years), 1580 of their offspring and 725 spouses thereof (mean age 59 years) from the Leiden Longevity Study (LLS). Results: We found that shorter LTL is associated with increased prospective mortality in middle (30–80 years; hazard ratio (HR) = 0.75, P = 0.001) and highly advanced age (≥90 years; HR = 0.92, P = 0.028), and show that this association cannot be explained by the association of LTL with the immune-related markers insulin-like growth factor 1 to insulin-like growth factor binding protein 3 molar ratio, C-reactive protein, interleukin 6, cytomegalovirus serostatus or white blood cell counts. We found no difference in LTL between the middle-aged LLS offspring and their spouses (β = 0.006, P = 0.932). Neither did we observe an association of LTL-associated genetic variants with mortality in a prospective meta-analysis of multiple cohorts (n = 8165). Conclusions: We confirm LTL to be a marker of prospective mortality in middle and highly advanced age and additionally show that this association could not be explained by the association of LTL with various immune-related markers. Furthermore, the approaches performed here do not further support the hypothesis that LTL variation contributes to the genetic propensity for longevity.
Collapse
Affiliation(s)
- Joris Deelen
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The NetherlandsDepartment of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | - Marian Beekman
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The NetherlandsDepartment of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | - Veryan Codd
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | - Stella Trompet
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The NetherlandsDepartment of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The NetherlandsDepartment of Molecular Epidemiology, Leiden University Medica
| | - Linda Broer
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The NetherlandsDepartment of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | - Sara Hägg
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | - Krista Fischer
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | - Peter E Thijssen
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The NetherlandsDepartment of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | - H Eka D Suchiman
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | - Iris Postmus
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The NetherlandsDepartment of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | - André G Uitterlinden
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The NetherlandsDepartment of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The NetherlandsDepartment of Molecular Epidemiology, Leiden University Medica
| | - Albert Hofman
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | - Anton J M de Craen
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | - Andres Metspalu
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | - Nancy L Pedersen
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | - Cornelia M van Duijn
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The NetherlandsDepartment of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | - J Wouter Jukema
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The NetherlandsDepartment of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | - Jeanine J Houwing-Duistermaat
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | - Nilesh J Samani
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | - P Eline Slagboom
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The NetherlandsDepartment of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| |
Collapse
|
26
|
Abstract
Type 2 diabetes and obesity are very serious health problems in both developed and developing countries. An increased level of GH is known to promote insulin resistance. Transgenic (Tg) mice over-expressing bovine GH are short-living and characterized, among other traits, by hyperinsulinemia and increased insulin resistance in comparison with normal (N) mice. Pioglitazone (PIO) is a member of the thiazolidinediones - a group of insulin-sensitizing drugs that are selective agonists of peroxisome proliferator-activated receptor gamma (PPARγ). The aim of the study was to analyze the effects of PIO on the insulin-signaling pathway in Tg and N mice. Plasma levels of insulin and glucose as well as hepatic levels of proteins involved in insulin signaling were analyzed by ELISA or western blot methods. Treatment with PIO decreased plasma level of glucose in N mice only. Similarly, PIO increased insulin sensitivity (expressed as the relative insulin sensitivity index; RISI) only in N mice. In the liver, PIO decreased the phosphorylation of insulin receptor substrate-1 (IRS1) at a serine residue (Ser(307)-pS-IRS1), which inhibits insulin action, and had a tendency to increase tyrosine phosphorylation of IRS2 (Tyr-pY-IRS2) only in N mice but did not affect either of these parameters in Tg mice. Levels of total and phosphorylated mammalian target of rapamycin were increased in Tg mice. Moreover, the level of AKT2 was decreased by PIO in N mice only. In conclusion, the lack of improvement of insulin sensitivity in insulin-resistant Tg mice during PIO treatment indicates that chronically elevated GH levels can inhibit the beneficial effects of PIO on insulin signaling.
Collapse
Affiliation(s)
- Adam Gesing
- Department of Internal Medicine, Geriatrics Research, Southern Illinois University School of Medicine, 801 N Rutledge St., Room 4389, 62794-9628, Springfield, IL, USA
- Department of Oncological Endocrinology, Medical University of Lodz, Zeligowski St., No 7/9, 90-752 Lodz, Poland
- CORRESPONDING AUTHOR: Dr. Adam Gesing, M.D., Ph.D., Department of Oncological Endocrinology, Medical University of Lodz, Zeligowski St., No 7/9, 90-752 Lodz, Poland, Phone: + 48 42 6393122, Fax: + 48 42 6393121, ,
| | - Andrzej Bartke
- Department of Internal Medicine, Geriatrics Research, Southern Illinois University School of Medicine, 801 N Rutledge St., Room 4389, 62794-9628, Springfield, IL, USA
| | - Michal M. Masternak
- College of Medicine, Burnett School of Biomedical Sciences, University of Central Florida, 6900 Lake Nona Blvd, Orlando, FL 32827, USA
- Institute of Human Genetics, Polish Academy of Sciences, Strzeszynska St., No 32, 60-479 Poznan, Poland
| |
Collapse
|
27
|
Galat A. Functional diversity and pharmacological profiles of the FKBPs and their complexes with small natural ligands. Cell Mol Life Sci 2013; 70:3243-75. [PMID: 23224428 PMCID: PMC11113493 DOI: 10.1007/s00018-012-1206-z] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2012] [Revised: 10/24/2012] [Accepted: 10/25/2012] [Indexed: 12/25/2022]
Abstract
From 5 to 12 FK506-binding proteins (FKBPs) are encoded in the genomes of disparate marine organisms, which appeared at the dawn of evolutionary events giving rise to primordial multicellular organisms with elaborated internal body plan. Fifteen FKBPs, several FKBP-like proteins and some splicing variants of them are expressed in humans. Human FKBP12 and some of its paralogues bind to different macrocyclic antibiotics such as FK506 or rapamycin and their derivatives. FKBP12/(macrocyclic antibiotic) complexes induce diverse pharmacological activities such as immunosuppression in humans, anticancerous actions and as sustainers of quiescence in certain organisms. Since the FKBPs bind to various assemblies of proteins and other intracellular components, their complexes with the immunosuppressive drugs may differentially perturb miscellaneous cellular functions. Sequence-structure relationships and pharmacological profiles of diverse FKBPs and their involvement in crucial intracellular signalization pathways and modulation of cryptic intercellular communication networks were discussed.
Collapse
Affiliation(s)
- Andrzej Galat
- Commissariat à l'Energie Atomique, Direction des Sciences du Vivant, Institut de Biologie et de Technologies de Saclay, Service d'Ingénierie Moléculaire des Protéines, Bat. 152, 91191, Gif-sur-Yvette Cedex, France.
| |
Collapse
|
28
|
Gonzalez-Covarrubias V. Lipidomics in longevity and healthy aging. Biogerontology 2013; 14:663-72. [PMID: 23948799 DOI: 10.1007/s10522-013-9450-7] [Citation(s) in RCA: 54] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2013] [Accepted: 08/02/2013] [Indexed: 12/18/2022]
Abstract
The role of classical lipids in aging diseases and human longevity has been widely acknowledged. Triglyceride and cholesterol concentrations are clinically assessed to infer the risk of cardiovascular disease while larger lipoprotein particle size and low triglyceride levels have been identified as markers of human longevity. The rise of lipidomics as a branch of metabolomics has provided an additional layer of accuracy to pinpoint specific lipids and its association with aging diseases and longevity. The molecular composition and concentration of lipid species determine their cellular localization, metabolism, and consequently, their impact in disease and health. For example, low density lipoproteins are the main carriers of sphingomyelins and ceramides, while high density lipoproteins are mostly loaded with ether phosphocholines, partly explaining their opposing roles in atherogenesis. Moreover, the identification of specific lipid species in aging diseases and longevity would aid to clarify how these lipids alter health and influence longevity. For instance, ether phosphocholines PC (O-34:1) and PC (O-34:3) have been positively associated with longevity and negatively with diabetes, and hypertension, but other species of phosphocholines show no effect or an opposite association with these traits confirming the relevance of the identification of molecular lipid species to tackle our understanding of healthy aging and disease. Up-to-date, a minor fraction of the human plasma lipidome has been associated to healthy aging and longevity, further research would pinpoint toward specific lipidomic profiles as potential markers of healthy aging and metabolic diseases.
Collapse
|
29
|
Abstract
Extensive transcriptional networks maintain sterol homeostasis across species, underscoring the importance of sterol balance for healthy life. Magner et al. (2013) now show that, in C. elegans, the nuclear receptor NHR-8 is key in regulation of cholesterol balance and production of dafachronic acid, a bile acid-like steroid that controls longevity.
Collapse
Affiliation(s)
- Albert K Groen
- Departments of Pediatrics and Laboratory Medicine, University of Groningen, University Medical Center Groningen, The Netherlands.
| | | |
Collapse
|
30
|
Bowers J, Terrien J, Clerget-Froidevaux MS, Gothié JD, Rozing MP, Westendorp RGJ, van Heemst D, Demeneix BA. Thyroid hormone signaling and homeostasis during aging. Endocr Rev 2013; 34:556-89. [PMID: 23696256 DOI: 10.1210/er.2012-1056] [Citation(s) in RCA: 74] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Studies in humans and in animal models show negative correlations between thyroid hormone (TH) levels and longevity. TH signaling is implicated in maintaining and integrating metabolic homeostasis at multiple levels, notably centrally in the hypothalamus but also in peripheral tissues. The question is thus raised of how TH signaling is modulated during aging in different tissues. Classically, TH actions on mitochondria and heat production are obvious candidates to link negative effects of TH to aging. Mitochondrial effects of excess TH include reactive oxygen species and DNA damage, 2 factors often considered as aging accelerators. Inversely, caloric restriction, which can retard aging from nematodes to primates, causes a rapid reduction of circulating TH, reducing metabolism in birds and mammals. However, many other factors could link TH to aging, and it is these potentially subtler and less explored areas that are highlighted here. For example, effects of TH on membrane composition, inflammatory responses, stem cell renewal and synchronization of physiological responses to light could each contribute to TH regulation of maintenance of homeostasis during aging. We propose the hypothesis that constraints on TH signaling at certain life stages, notably during maturity, are advantageous for optimal aging.
Collapse
Affiliation(s)
- J Bowers
- Muséum national d'Histoire Naturelle, Laboratoire de Physiologie Générale et Comparée, Unité Mixte de Recherche, Centre National de la Recherche Scientifique 7221, 75231 Paris cedex 5, France
| | | | | | | | | | | | | | | |
Collapse
|
31
|
Di Cianni F, Campa D, Tallaro F, Rizzato C, De Rango F, Barale R, Passarino G, Canzian F, Gemignani F, Montesanto A, Landi S, Rose G. MAP3K7 and GSTZ1 are associated with human longevity: a two-stage case-control study using a multilocus genotyping. AGE (DORDRECHT, NETHERLANDS) 2013; 35:1357-1366. [PMID: 22576335 PMCID: PMC3705096 DOI: 10.1007/s11357-012-9416-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2012] [Accepted: 04/17/2012] [Indexed: 05/31/2023]
Abstract
The pathways that regulate energy homeostasis, the mechanisms of damage repair, and the signaling response to internal environmental changes or external signals have been shown to be critical in modulating lifespan of model organisms and humans. In order to investigate whether genetic variation of genes involved in these pathways contribute to longevity, a two-stage case-control study in two independent sets of long-lived individuals from Calabria (Italy) was performed. In stage 1, 317 SNPs in 104 genes were analyzed in 78 cases (median age 98 years) and 71 controls (median age 67 years). In stage 2, 31 candidate SNPs identified in stage 1 (π markers = 0.1) were analyzed in an independent sample composed by 288 cases (median age 92 years) and 554 controls (median age 67 years). Two SNPs, rs282070 located in intron 1 of the MAP3K7 gene, and rs2111699 located in intron 1 of the GSTZ1 gene, were significantly associated (after adjustment for multiple testing) with longevity in stage 2 (p = 1.1 × 10(-3) and p = 1.4 × 10(-3), respectively). Interestingly, both genes are implicated in the cellular response to internal and external environmental changes, playing a crucial role in the inflammation processes that accompany aging. Our data confirm that long-lived subjects are endowed with genetic variants that allow them to optimize these cellular responses and to better deal with environmental and internal stresses.
Collapse
Affiliation(s)
- Fausta Di Cianni
- />Department of Cell Biology, University of Calabria, 87036 Rende, Italy
| | - Daniele Campa
- />Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Federica Tallaro
- />Department of Cell Biology, University of Calabria, 87036 Rende, Italy
| | - Cosmeri Rizzato
- />Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Francesco De Rango
- />Department of Cell Biology, University of Calabria, 87036 Rende, Italy
| | - Roberto Barale
- />Department of Biology, University of Pisa, Pisa, Italy
| | - Giuseppe Passarino
- />Department of Cell Biology, University of Calabria, 87036 Rende, Italy
| | - Federico Canzian
- />Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Alberto Montesanto
- />Department of Cell Biology, University of Calabria, 87036 Rende, Italy
| | - Stefano Landi
- />Department of Biology, University of Pisa, Pisa, Italy
| | - Giuseppina Rose
- />Department of Cell Biology, University of Calabria, 87036 Rende, Italy
| |
Collapse
|
32
|
Beekman M, Blanché H, Perola M, Hervonen A, Bezrukov V, Sikora E, Flachsbart F, Christiansen L, De Craen AJM, Kirkwood TBL, Rea IM, Poulain M, Robine JM, Valensin S, Stazi MA, Passarino G, Deiana L, Gonos ES, Paternoster L, Sørensen TIA, Tan Q, Helmer Q, van den Akker EB, Deelen J, Martella F, Cordell HJ, Ayers KL, Vaupel JW, Törnwall O, Johnson TE, Schreiber S, Lathrop M, Skytthe A, Westendorp RGJ, Christensen K, Gampe J, Nebel A, Houwing-Duistermaat JJ, Slagboom PE, Franceschi C. Genome-wide linkage analysis for human longevity: Genetics of Healthy Aging Study. Aging Cell 2013; 12:184-93. [PMID: 23286790 DOI: 10.1111/acel.12039] [Citation(s) in RCA: 118] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/27/2012] [Indexed: 01/04/2023] Open
Abstract
Clear evidence exists for heritability of human longevity, and much interest is focused on identifying genes associated with longer lives. To identify such longevity alleles, we performed the largest genome-wide linkage scan thus far reported. Linkage analyses included 2118 nonagenarian Caucasian sibling pairs that have been enrolled in 15 study centers of 11 European countries as part of the Genetics of Healthy Aging (GEHA) project. In the joint linkage analyses, we observed four regions that show linkage with longevity; chromosome 14q11.2 (LOD = 3.47), chromosome 17q12-q22 (LOD = 2.95), chromosome 19p13.3-p13.11 (LOD = 3.76), and chromosome 19q13.11-q13.32 (LOD = 3.57). To fine map these regions linked to longevity, we performed association analysis using GWAS data in a subgroup of 1228 unrelated nonagenarian and 1907 geographically matched controls. Using a fixed-effect meta-analysis approach, rs4420638 at the TOMM40/APOE/APOC1 gene locus showed significant association with longevity (P-value = 9.6 × 10(-8) ). By combined modeling of linkage and association, we showed that association of longevity with APOEε4 and APOEε2 alleles explain the linkage at 19q13.11-q13.32 with P-value = 0.02 and P-value = 1.0 × 10(-5) , respectively. In the largest linkage scan thus far performed for human familial longevity, we confirm that the APOE locus is a longevity gene and that additional longevity loci may be identified at 14q11.2, 17q12-q22, and 19p13.3-p13.11. As the latter linkage results are not explained by common variants, we suggest that rare variants play an important role in human familial longevity.
Collapse
Affiliation(s)
| | | | - Markus Perola
- The National Institute for Health and Welfare; THL; Helsinki; FI-00271; Finland
| | - Anti Hervonen
- Tampere School of Public Health; Tampere; FI-33014; Finland
| | | | - Ewa Sikora
- Nencki Istitute for Experimental Biology; NENCKI; Warszawa; 02-093; Poland
| | - Friederike Flachsbart
- Institute of Clinical Molecular Biology; Christian-Albrechts-University Kiel (CAU); Kiel; 24118; Germany
| | - Lene Christiansen
- Danish Aging Research Center; Institute of Public Health; University of Southern Denmark; Odense; DK-5230; Denmark
| | | | - Tom B. L. Kirkwood
- Institute for Ageing and Health; Newcastle University; UNEW; Newcastle; NE1 7RU; UK
| | - Irene Maeve Rea
- Queens University of Belfast; QUB; Belfast; Northern Ireland; BT7 1NN; UK
| | | | | | - Silvana Valensin
- Interdepartmental Centre “Luigi Galvani” CIG; University of Bologna UNIBO; Bologna; 40126; Italy
| | | | | | - Luca Deiana
- UNISS; University of Sassari; 07100; Sassari; Italy
| | | | | | | | | | - Quinta Helmer
- Medical Statistics and Bioinformatics; Leiden University Medical Centre; Leiden; ZC; 2333; The Netherlands
| | | | - Joris Deelen
- Molecular Epidemiology; Leiden University Medical Centre; Leiden; ZC; 2333; The Netherlands
| | | | - Heather J. Cordell
- Institute for Ageing and Health; Newcastle University; UNEW; Newcastle; NE1 7RU; UK
| | - Kristin L. Ayers
- Institute for Ageing and Health; Newcastle University; UNEW; Newcastle; NE1 7RU; UK
| | - James W. Vaupel
- Max Planck Institute for Demographic Research; MPIDR; 18057; Rostock; Germany
| | - Outi Törnwall
- The National Institute for Health and Welfare; THL; Helsinki; FI-00271; Finland
| | - Thomas E. Johnson
- Institute for Behavioral Genetics; University of Colorado at Boulder; Boulder; CO 80309-0447; USA
| | - Stefan Schreiber
- Institute of Clinical Molecular Biology; Christian-Albrechts-University Kiel (CAU); Kiel; 24118; Germany
| | - Mark Lathrop
- Foundation Jean Dausset; CEPH; 75010; Paris; France
| | - Axel Skytthe
- Danish Aging Research Center; Institute of Public Health; University of Southern Denmark; Odense; DK-5230; Denmark
| | - Rudi G. J. Westendorp
- Gerontology and Geriatrics; Leiden University Medical Centre; Leiden; ZA; 2333; The Netherlands
| | | | - Jutta Gampe
- Max Planck Institute for Demographic Research; MPIDR; 18057; Rostock; Germany
| | - Almut Nebel
- Institute of Clinical Molecular Biology; Christian-Albrechts-University Kiel (CAU); Kiel; 24118; Germany
| | | | | | - Claudio Franceschi
- Interdepartmental Centre “Luigi Galvani” CIG; University of Bologna UNIBO; Bologna; 40126; Italy
| | | |
Collapse
|
33
|
Kulminski AM, Culminskaya I. Genomics of human health and aging. AGE (DORDRECHT, NETHERLANDS) 2013; 35:455-69. [PMID: 22174011 PMCID: PMC3592948 DOI: 10.1007/s11357-011-9362-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2011] [Accepted: 12/05/2011] [Indexed: 05/31/2023]
Abstract
Despite notable progress of the candidate-gene and genome-wide association studies (GWAS), understanding the role of genes contributing to human health and lifespan is still very limited. We use the Framingham Heart Study to elucidate if recognizing the role of evolution and systemic processes in an aging organism could advance such studies. We combine throughput methods of GWAS with more detail methods typical for candidate-gene analyses and show that both lifespan and ages at onset of CVD and cancer can be controlled by the same allelic variants. The risk allele carriers are at highly significant risk of premature death (e.g., RR=2.9, p=5.0 × 10(-66)), onset of CVD (e.g., RR=1.6, p=4.6 × 10(-17)), and onset of cancer (e.g., RR=1.6, p=1.5 × 10(-6)). The mechanism mediating the revealed genetic associations is likely associated with biological aging. These aging-related phenotypes are associated with a complex network which includes, in this study, 62 correlated SNPs even so these SNPs can be on non-homologous chromosomes. A striking result is three-fold, highly significant (p=3.6 × 10(-10)) enrichment of non-synonymous SNPs (N=27) in this network compared to the entire qualified set of the studied SNPs. Functional significance of this network is strengthened by involvement of genes for these SNPs in fundamental biological processes related to aging (e.g., response to stimuli, protein degradation, apoptosis) and by connections of these genes with neurological (20 genes) and cardio-vascular (nine genes) processes and tumorigenesis (10 genes). These results document challenging role of gene networks in regulating human health and aging and call for broadening focus on genomics of such phenotypes.
Collapse
Affiliation(s)
- Alexander M Kulminski
- Center for Population Health and Aging, Duke University, Box 90408, Trent Hall, Room 002, Durham, NC 27708, USA.
| | | |
Collapse
|
34
|
Abstract
Age is the main risk factor for the prevalent diseases of developed countries: cancer, cardiovascular disease and neurodegeneration. The ageing process is deleterious for fitness, but can nonetheless evolve as a consequence of the declining force of natural selection at later ages, attributable to extrinsic hazards to survival: ageing can then occur as a side-effect of accumulation of mutations that lower fitness at later ages, or of natural selection in favour of mutations that increase fitness of the young but at the cost of a higher subsequent rate of ageing. Once thought of as an inexorable, complex and lineage-specific process of accumulation of damage, ageing has turned out to be influenced by mechanisms that show strong evolutionary conservation. Lowered activity of the nutrient-sensing insulin/insulin-like growth factor/Target of Rapamycin signalling network can extend healthy lifespan in yeast, multicellular invertebrates, mice and, possibly, humans. Mitochondrial activity can also promote ageing, while genome maintenance and autophagy can protect against it. We discuss the relationship between evolutionarily conserved mechanisms of ageing and disease, and the associated scientific challenges and opportunities.
Collapse
Affiliation(s)
- Teresa Niccoli
- Institute of Healthy Ageing, Department of Genetics, Evolution and Environment, University College London, Darwin Building, Gower St, London WC1E 6BT, UK
| | | |
Collapse
|
35
|
Deelen J, Beekman M, Capri M, Franceschi C, Slagboom PE. Identifying the genomic determinants of aging and longevity in human population studies: progress and challenges. Bioessays 2013; 35:386-96. [PMID: 23423909 PMCID: PMC3633240 DOI: 10.1002/bies.201200148] [Citation(s) in RCA: 75] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Human lifespan variation is mainly determined by environmental factors, whereas the genetic contribution is 25–30% and expected to be polygenic. Two complementary fields go hand in hand in order to unravel the mechanisms of biological aging: genomic and biomarker research. Explorative and candidate gene studies of the human genome by genetic, transcriptomic, and epigenomic approaches have resulted in the identification of a limited number of interesting positive linkage regions, genes, and pathways that contribute to lifespan variation. The possibilities to further exploit these findings are rapidly increasing through the use of novel technologies, such as next-generation sequencing. Genomic research is progressively being integrated with biomarker studies on aging, including the application of (noninvasive) deep phenotyping and omics data – generated using novel technologies – in a wealth of studies in human populations. Hence, these studies may assist in obtaining a more holistic perspective on the role of the genome in aging and lifespan regulation.
Collapse
Affiliation(s)
- Joris Deelen
- Section of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | | | | | | | | |
Collapse
|
36
|
Kolovou G, Kolovou V, Vasiliadis I, Giannakopoulou V, Mihas C, Bilianou H, Kollia A, Papadopoulou E, Marvaki A, Goumas G, Kalogeropoulos P, Limperi S, Katsiki N, Mavrogeni S. The frequency of 4 common gene polymorphisms in nonagenarians, centenarians, and average life span individuals. Angiology 2013; 65:210-5. [PMID: 23389097 DOI: 10.1177/0003319712475075] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Single nucleotide polymorphisms of angiotensin-converting enzyme (ACE) such as rs1799752, nuclear factor kappa B (NFkB) such as rs28362491 and cholesteryl ester transport protein (CETP) such as rs708272 (TaqB1) and rs5882 (I405V) were evaluated in nonagenarians, centenarians, and average life span individuals (controls). The study population (n = 307; 190 nonagenarians, 12 centenarians and 105 middle-aged controls) was genotyped for ACE, NFkB, and CETP genetic variants. The age of nonagenarian and centenarian group ranged between 90 and 111 years; centenarians and controls age ranged from 99 to 111, and from 18 to 80 years, respectively. The I carriers of ACE I/D gene were fewer in nonagenarians compared to centenarians (37.6% vs 62.5%, P = .016). The I carriers of ACE gene were more frequent in centenarians compared to controls (62% vs 41%, P = .045). No differences in frequency of common NFkB and CETP genotypes between patients with exceptional longevity and middle-aged patients were observed.
Collapse
Affiliation(s)
- Genovefa Kolovou
- 1Cardiology Department, Onassis Cardiac Surgery Center Athens, Greece
| | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
37
|
Stenvinkel P, Larsson TE. Chronic kidney disease: a clinical model of premature aging. Am J Kidney Dis 2013; 62:339-51. [PMID: 23357108 DOI: 10.1053/j.ajkd.2012.11.051] [Citation(s) in RCA: 206] [Impact Index Per Article: 18.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2012] [Accepted: 11/19/2012] [Indexed: 12/21/2022]
Abstract
Premature aging is a process associated with a progressive accumulation of deleterious changes over time, an impairment of physiologic functions, and an increase in the risk of disease and death. Regardless of genetic background, aging can be accelerated by the lifestyle choices and environmental conditions to which our genes are exposed. Chronic kidney disease is a common condition that promotes cellular senescence and premature aging through toxic alterations in the internal milieu. This occurs through several mechanisms, including DNA and mitochondria damage, increased reactive oxygen species generation, persistent inflammation, stem cell exhaustion, phosphate toxicity, decreased klotho expression, and telomere attrition. Because recent evidence suggests that both increased local signaling of growth factors (through the nutrient-sensing mammalian target of rapamycin) and decreased klotho expression are important modulators of aging, interventions that target these should be tested in this prematurely aged population.
Collapse
Affiliation(s)
- Peter Stenvinkel
- Division of Renal Medicine, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden.
| | | |
Collapse
|
38
|
Abstract
Over the past two centuries human life expectancy has increased by nearly 50 years. Genetic factors account for about one-third of the variation in life expectancy so that most of the inter-individual variation in lifespan is explained by stochastic and environmental factors, including diet. In some model organisms, dietary (energy) restriction is a potent, and highly reproducible, means of increasing lifespan and of reducing the risk of age-related dysfunction although whether this strategy is effective in human subjects is unknown. This is ample evidence that the ageing process is plastic and research demonstrates that ageing is driven by the accumulation of molecular damage, which causes the changes in cell and tissue function that characterise the ageing phenotype. This cellular, tissue and organ damage results in the development of age-related frailty, disabilities and diseases. There are compelling observational data showing links between eating patterns, e.g. the Mediterranean dietary pattern, and ageing. In contrast, there is little empirical evidence that dietary changes can prolong healthy lifespan and there is even less information about the intervention modalities that can produce such sustainable dietary behaviour changes. In conclusion, current research needs include (1) a better understanding of the causal biological pathways linking diet with the ageing trajectory, (2) the development of lifestyle-based interventions, including dietary changes, which are effective in preventing age-related disease and disability and (3) the development of robust markers of healthy ageing, which can be used as surrogate outcome measures in the development and testing of dietary interventions designed to enhance health and well-being long into old age.
Collapse
|
39
|
Lai WF. Nucleic acid delivery: roles in biogerontological interventions. Ageing Res Rev 2013; 12:310-5. [PMID: 22982112 DOI: 10.1016/j.arr.2012.08.003] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2012] [Revised: 08/29/2012] [Accepted: 08/30/2012] [Indexed: 12/27/2022]
Abstract
Prolongation of longevity is a history-long desire of humans. Driven by the genetic contribution to longevity and the remarkable plasticity of healthy lifespan as demonstrated in animal models, arduous efforts have been directed to aging and longevity research over the years. Today, our understanding of lifespan determination is much greater than it was in the past, but administrable interventions for longevity enhancement are still virtually absent. The aim of this article is to highlight the technical gap between basic biogerontological research and intervention development, and to explore the importance of nucleic acid (NA) delivery technologies in bridging the gap. It is hoped that this article can engender more awareness of the roles of NA delivery technologies in biogerontological interventions, particularly NA therapy.
Collapse
|
40
|
D'Aquila P, Rose G, Bellizzi D, Passarino G. Epigenetics and aging. Maturitas 2012; 74:130-6. [PMID: 23245587 DOI: 10.1016/j.maturitas.2012.11.005] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2012] [Accepted: 11/11/2012] [Indexed: 01/06/2023]
Abstract
Over the past two decades, a growing interest on the research of the biological basis of human longevity has emerged, in order to clarify the intricacy of biological and environmental factors affecting (together with stochastic factors) the quality and the rate of human aging. These researches have outlined a complex scenario in which epigenetic marks, such as DNA methylation and numerous histone modifications, are emerging as important factors of the overall variation in life expectancy. In fact, epigenetic marks, that are responsible of the establishment of specific expression programs and of genome stability, represent a "drawbridge" across genetic, environmental and stochastic factors. In this review we provide an overview on the current knowledge and the general features of the epigenetic modifications characterizing the aging process.
Collapse
Affiliation(s)
- Patrizia D'Aquila
- Department of Cell Biology, University of Calabria, 87036 Rende, Italy
| | | | | | | |
Collapse
|
41
|
Abstract
Discovering the biological basis of aging is one of the greatest remaining challenges for science. Work on the biology of aging has discovered a range of interventions and pathways that control aging rate. A picture is emerging of a signaling network that is sensitive to nutritional status and that controls growth, stress resistance, and aging. This network includes the insulin/IGF-1 and target of rapamycin (TOR) pathways and likely mediates the effects of dietary restriction on aging. Yet the biological processes upon which these pathways act to control life span remain unclear. A long-standing guiding assumption about aging is that it is caused by wear and tear, particularly damage at the molecular level. One view is that reactive oxygen species (ROS), including free radicals, generated as by-products of cellular metabolism, are a major contributor to this damage. Yet many recent tests of the oxidative damage theory have come up negative. Such tests have opened an exciting new phase in biogerontology in which fundamental assumptions about aging are being reexamined and revolutionary concepts are emerging. Among these concepts is the hyperfunction theory, which postulates that processes contributing to growth and reproduction run on in later life, leading to hypertrophic and hyperplastic pathologies. Here we reexamine central concepts about the nature of aging.
Collapse
Affiliation(s)
- David Gems
- Institute of Healthy Ageing and Department of Genetics, Evolution and Environment, University College London, London WC1E 6BT, United Kingdom
| | | |
Collapse
|
42
|
Campa D, De Rango F, Carrai M, Crocco P, Montesanto A, Canzian F, Rose G, Rizzato C, Passarino G, Barale R. Bitter taste receptor polymorphisms and human aging. PLoS One 2012; 7:e45232. [PMID: 23133589 PMCID: PMC3487725 DOI: 10.1371/journal.pone.0045232] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2012] [Accepted: 08/17/2012] [Indexed: 01/10/2023] Open
Abstract
Several studies have shown that genetic factors account for 25% of the variation in human life span. On the basis of published molecular, genetic and epidemiological data, we hypothesized that genetic polymorphisms of taste receptors, which modulate food preferences but are also expressed in a number of organs and regulate food absorption processing and metabolism, could modulate the aging process. Using a tagging approach, we investigated the possible associations between longevity and the common genetic variation at the three bitter taste receptor gene clusters on chromosomes 5, 7 and 12 in a population of 941 individuals ranging in age from 20 to 106 years from the South of Italy. We found that one polymorphism, rs978739, situated 212 bp upstream of the TAS2R16 gene, shows a statistically significant association (p = 0.001) with longevity. In particular, the frequency of A/A homozygotes increases gradually from 35% in subjects aged 20 to 70 up to 55% in centenarians. These data provide suggestive evidence on the possible correlation between human longevity and taste genetics.
Collapse
Affiliation(s)
- Daniele Campa
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany.
| | | | | | | | | | | | | | | | | | | |
Collapse
|
43
|
Adams MK, Simpson JA, Richardson AJ, Guymer RH, Williamson E, Cantsilieris S, English DR, Aung KZ, Makeyeva GA, Giles GG, Hopper J, Robman LD, Baird PN. Can genetic associations change with age? CFH and age-related macular degeneration. Hum Mol Genet 2012; 21:5229-36. [DOI: 10.1093/hmg/dds364] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
|
44
|
Dixon LR, McQuage MR, Lonon EJ, Buehler D, Seck O, Rueppell O. Pleiotropy of segregating genetic variants that affect honey bee worker life expectancy. Exp Gerontol 2012; 47:631-7. [PMID: 22664574 DOI: 10.1016/j.exger.2012.05.017] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2011] [Revised: 05/15/2012] [Accepted: 05/25/2012] [Indexed: 11/28/2022]
Abstract
In contrast to many other complex traits, the natural genetic architecture of life expectancy has not been intensely studied, particularly in non-model organisms, such as the honey bee (Apis mellifera L.). Multiple factors that determine honey bee worker lifespan have been identified and genetic analyses have been performed on some of those traits. Several of the traits are included in a suite of correlated traits that form the pollen hoarding syndrome, which was named after the behavior to store surplus pollen in the nest and is tied to social evolution. Here, seven quantitative trait loci that had previously been identified for their effects on different aspects of the pollen hoarding syndrome were studied for their genetic influence on the survival of adult honey bee workers. To gain a more comprehensive understanding of the genetic architecture of worker longevity, a panel of 280 additional SNP markers distributed across the genome was also tested. Allelic distributions were compared between young and old bees in two backcross populations of the bi-directionally selected high- and low-pollen hoarding strain. Our results suggest a pleiotropic effect of at least one of the behavioral quantitative trait loci on worker longevity and one significant and several other putative genetic effects in other genomic regions. At least one locus showed evidence for strong antagonistic pleiotropy and several others suggested genetic factors that influence pre-emergence survival of worker honey bees. Thus, the predicted association between worker lifespan and the pollen hoarding syndrome was supported at the genetic level and the magnitude of the identified effects also strengthened the view that naturally segregating genetic variation can have major effects on age-specific survival probability in the wild.
Collapse
Affiliation(s)
- Luke R Dixon
- Department of Biology, University of North Carolina, Greensboro, 312 Eberhart Building, Greensboro, NC 27403, USA
| | | | | | | | | | | |
Collapse
|
45
|
Doroszuk A, Jonker MJ, Pul N, Breit TM, Zwaan BJ. Transcriptome analysis of a long-lived natural Drosophila variant: a prominent role of stress- and reproduction-genes in lifespan extension. BMC Genomics 2012; 13:167. [PMID: 22559237 PMCID: PMC3427046 DOI: 10.1186/1471-2164-13-167] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2011] [Accepted: 05/04/2012] [Indexed: 01/15/2023] Open
Abstract
Background While studying long-lived mutants has advanced our understanding of the processes involved in ageing, the mechanisms underlying natural variation in lifespan and ageing rate remain largely unknown. Here, we characterise genome-wide expression patterns of a long-lived, natural variant of Drosophila melanogaster resulting from selection for starvation resistance (SR) and compare it with normal-lived control flies (C). We do this at two time points representing middle age (90% survival) and old age (10% survival) respectively, in three adult diets (malnutrition, optimal food, and overfeeding). Results We found profound differences between Drosophila lines in their age-related expression. Most of the age-associated changes in normal-lived flies were abrogated in long-lived Drosophila. The stress-related genes, including those involved in proteolysis and cytochrome P450, were generally higher expressed in SR flies and showed a smaller increase in expression with age compared to C flies. The genes involved in reproduction showed a lower expression in middle-aged SR than in C flies and, unlike C flies, a lack of their downregulation with age. Further, we found that malnutrition strongly affected age-associated transcript patterns overriding the differences between the lines. However, under less stressful dietary conditions, line and diet affected age-dependent expression similarly. Finally, we present lists of candidate markers of ageing and lifespan extension. Conclusions Our study unveils transcriptional changes associated with lifespan extension in SR Drosophila. The results suggest that natural genetic variation for SR and lifespan can operate through similar transcriptional mechanisms as those of dietary restriction and life-extending mutations.
Collapse
Affiliation(s)
- Agnieszka Doroszuk
- Evolutionary Biology, Institute of Biology, Leiden University, The Netherlands.
| | | | | | | | | |
Collapse
|
46
|
Montesanto A, Dato S, Bellizzi D, Rose G, Passarino G. Epidemiological, genetic and epigenetic aspects of the research on healthy ageing and longevity. IMMUNITY & AGEING 2012; 9:6. [PMID: 22524317 PMCID: PMC3349521 DOI: 10.1186/1742-4933-9-6] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/03/2012] [Accepted: 04/23/2012] [Indexed: 12/23/2022]
Abstract
Healthy ageing and longevity in humans result from a number of factors, including genetic background, favorable environmental and social factors and chance. In this article we aimed to overview the research on the biological basis of human healthy ageing and longevity, discussing the role of epidemiological, genetic and epigenetic factors in the variation of quality of ageing and lifespan, including the most promising candidate genes investigated so far. Moreover, we reported the methodologies applied for their identification, discussing advantages and disadvantages of the different approaches and possible solutions that can be taken to overcome them. Finally, we illustrated the recent approaches to define healthy ageing and underlined the role that the emerging field of epigenetics is gaining in the search for the determinants of healthy ageing and longevity.
Collapse
Affiliation(s)
- Alberto Montesanto
- Department of Cell Biology, University of Calabria, Ponte Pietro Bucci cubo 4 C, 87036 Rende, CS, Italy
| | - Serena Dato
- Department of Cell Biology, University of Calabria, Ponte Pietro Bucci cubo 4 C, 87036 Rende, CS, Italy
| | - Dina Bellizzi
- Department of Cell Biology, University of Calabria, Ponte Pietro Bucci cubo 4 C, 87036 Rende, CS, Italy
| | - Giuseppina Rose
- Department of Cell Biology, University of Calabria, Ponte Pietro Bucci cubo 4 C, 87036 Rende, CS, Italy
| | - Giuseppe Passarino
- Department of Cell Biology, University of Calabria, Ponte Pietro Bucci cubo 4 C, 87036 Rende, CS, Italy
| |
Collapse
|
47
|
Abstract
Aging is a key risk factor in neurodegenerative disease; however, little is known about cellular pathways that mediate age-associated degeneration of the brain. The Bonini lab has identified a conserved microRNA, miR-34, that plays a neuroprotective role in the aging Drosophila brain and suggests that it functions in temporal control of gene expression.
Collapse
|
48
|
Micronutrient (Zn, Cu, Fe)-gene interactions in ageing and inflammatory age-related diseases: implications for treatments. Ageing Res Rev 2012; 11:297-319. [PMID: 22322094 DOI: 10.1016/j.arr.2012.01.004] [Citation(s) in RCA: 59] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2011] [Revised: 01/20/2012] [Accepted: 01/23/2012] [Indexed: 02/07/2023]
Abstract
In ageing, alterations in inflammatory/immune response and antioxidant capacity lead to increased susceptibility to diseases and loss of mobility and agility. Various essential micronutrients in the diet are involved in age-altered biological functions. Micronutrients (zinc, copper, iron) play a pivotal role either in maintaining and reinforcing the immune and antioxidant performances or in affecting the complex network of genes (nutrigenomic approach) involved in encoding proteins for a correct inflammatory/immune response. By the other side, the genetic inter-individual variability may affect the absorption and uptake of the micronutrients (nutrigenetic approach) with subsequent altered effects on inflammatory/immune response and antioxidant activity. Therefore, the individual micronutrient-gene interactions are fundamental to achieve healthy ageing. In this review, we report and discuss the role of micronutrients (Zn, Cu, Fe)-gene interactions in relation to the inflammatory status and the possibility of a supplement in the event of a micronutrient deficiency or chelation in presence of micronutrient overload in relation to specific polymorphisms of inflammatory proteins or proteins related of the delivery of the micronutriemts to various organs and tissues. In this last context, we report the protein-metal speciation analysis in order to have, coupled with micronutrient-gene interactions, a more complete picture of the individual need in micronutrient supplementation or chelation to achieve healthy ageing and longevity.
Collapse
|
49
|
Transcriptional profiling of human familial longevity indicates a role for ASF1A and IL7R. PLoS One 2012; 7:e27759. [PMID: 22247756 PMCID: PMC3256132 DOI: 10.1371/journal.pone.0027759] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2011] [Accepted: 10/24/2011] [Indexed: 12/03/2022] Open
Abstract
The Leiden Longevity Study consists of families that express extended survival across generations, decreased morbidity in middle-age, and beneficial metabolic profiles. To identify which pathways drive this complex phenotype of familial longevity and healthy aging, we performed a genome-wide gene expression study within this cohort to screen for mRNAs whose expression changes with age and associates with longevity. We first compared gene expression profiles from whole blood samples between 50 nonagenarians and 50 middle-aged controls, resulting in identification of 2,953 probes that associated with age. Next, we determined which of these probes associated with longevity by comparing the offspring of the nonagenarians (50 subjects) and the middle-aged controls. The expression of 360 probes was found to change differentially with age in members of the long-lived families. In a RT-qPCR replication experiment utilizing 312 controls, 332 offspring and 79 nonagenarians, we confirmed a nonagenarian specific expression profile for 21 genes out of 25 tested. Since only some of the offspring will have inherited the beneficial longevity profile from their long-lived parents, the contrast between offspring and controls is expected to be weak. Despite this dilution of the longevity effects, reduced expression levels of two genes, ASF1A and IL7R, involved in maintenance of chromatin structure and the immune system, associated with familial longevity already in middle-age. The size of this association increased when controls were compared to a subfraction of the offspring that had the highest probability to age healthily and become long-lived according to beneficial metabolic parameters. In conclusion, an “aging-signature” formed of 21 genes was identified, of which reduced expression of ASF1A and IL7R marked familial longevity already in middle-age. This indicates that expression changes of genes involved in metabolism, epigenetic control and immune function occur as a function of age, and some of these, like ASF1A and IL7R, represent early features of familial longevity and healthy ageing.
Collapse
|
50
|
Tazearslan C, Cho M, Suh Y. Discovery of functional gene variants associated with human longevity: opportunities and challenges. J Gerontol A Biol Sci Med Sci 2011; 67:376-83. [PMID: 22156437 DOI: 10.1093/gerona/glr200] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Age is a major risk factor for many human diseases. Extremely long-lived individuals, such as centenarians, have managed to ward off age-related diseases and serve as human models to search for the genetic factors that influence longevity. The discovery of evolutionarily conserved pathways with major impact on life span in animal models has provided tantalizing opportunities to test the relevance of these pathways for human longevity. Here we specifically focus on the insulin/insulin-like growth factor-1 signaling as a prime candidate pathway. Coupled with the rapid advances in ultra high-throughput sequencing technologies, it is now feasible to comprehensively analyze all possible sequence variants in candidate genes segregating with a longevity phenotype and to investigate the functional consequences of the associated variants. A better understanding of the functional genes that affect healthy longevity in humans may lead to a rational basis for intervention strategies that can delay or prevent age-related diseases.
Collapse
Affiliation(s)
- Cagdas Tazearslan
- Department of Genetics, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | | | | |
Collapse
|