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Brunt VE, Ikoba AP, Ziemba BP, Ballak DB, Hoischen A, Dinarello CA, Ehringer MA, Seals DR. Circulating interleukin-37 declines with aging in healthy humans: relations to healthspan indicators and IL37 gene SNPs. GeroScience 2023; 45:65-84. [PMID: 35622271 PMCID: PMC9137444 DOI: 10.1007/s11357-022-00587-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 05/06/2022] [Indexed: 02/03/2023] Open
Abstract
Aging is characterized by declines in physiological function that increase risk of age-associated diseases and limit healthspan, mediated in part by chronic low-grade inflammation. Interleukin (IL)-37 suppresses inflammation in pathophysiological states but has not been studied in the context of aging in otherwise healthy humans. Thus, we investigated associations between IL-37 and markers of healthspan in 271 young (18-39 years; n = 41), middle-aged (40-64 years; n = 162), and older (65 + years; n = 68) adults free of overt clinical disease. After conducting a thorough validation of AdipoGen's IL-37 ELISA, we found that plasma IL-37 is lower in older adults (young: 339 ± 240, middle-aged: 345 ± 234; older: 258 ± 175 pg/mL; P = 0.048), despite elevations in pro-inflammatory markers. As such, the ratios of circulating IL-37 to pro-inflammatory markers were considerably lower in older adults (e.g., IL-37 to C-reactive protein: young, 888 ± 918 vs. older, 337 ± 293; P = 0.02), indicating impaired IL-37 responsiveness to a pro-inflammatory state with aging and consistent with the notion of immunosenescence. These ratios were related to multiple indicators of healthspan, including positively to cardiorespiratory fitness (P < 0.01) and negatively to markers of adiposity, blood pressure, and blood glucose (all P < 0.05). Lastly, we correlated single-nucleotide polymorphisms (SNPs) in the IL37 and ILR8 (the co-receptor for IL-37) genes and found that variants in IL37 SNPs tended to be associated with blood pressure and adiposity (P = 0.08-0.09) but did not explain inter-individual variability in circulating IL-37 concentrations across age (P ≥ 0.23). Overall, our findings provide novel insights into a possible role of IL-37 in biological aging in humans.
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Affiliation(s)
- Vienna E Brunt
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA.
- Department of Medicine, University of Colorado Denver Anschutz Medical Campus, CO, 80045, Aurora, USA.
| | - Akpevweoghene P Ikoba
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Brian P Ziemba
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Dov B Ballak
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
- Department of Medicine, University of Colorado Denver Anschutz Medical Campus, CO, 80045, Aurora, USA
| | - Alexander Hoischen
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Human Genetics & Radboud Institute of Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Charles A Dinarello
- Department of Medicine, University of Colorado Denver Anschutz Medical Campus, CO, 80045, Aurora, USA
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Marissa A Ehringer
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - Douglas R Seals
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
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Seale K, Horvath S, Teschendorff A, Eynon N, Voisin S. Making sense of the ageing methylome. Nat Rev Genet 2022; 23:585-605. [PMID: 35501397 DOI: 10.1038/s41576-022-00477-6] [Citation(s) in RCA: 66] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/18/2022] [Indexed: 12/22/2022]
Abstract
Over time, the human DNA methylation landscape accrues substantial damage, which has been associated with a broad range of age-related diseases, including cardiovascular disease and cancer. Various age-related DNA methylation changes have been described, including at the level of individual CpGs, such as differential and variable methylation, and at the level of the whole methylome, including entropy and correlation networks. Here, we review these changes in the ageing methylome as well as the statistical tools that can be used to quantify them. We detail the evidence linking DNA methylation to ageing phenotypes and the longevity strategies aimed at altering both DNA methylation patterns and machinery to extend healthspan and lifespan. Lastly, we discuss theories on the mechanistic causes of epigenetic ageing.
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Affiliation(s)
- Kirsten Seale
- Institute for Health and Sport (iHeS), Victoria University, Footscray, Melbourne, Victoria, Australia
| | - Steve Horvath
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.,Altos Labs, San Diego, CA, USA
| | - Andrew Teschendorff
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, China.,UCL Cancer Institute, University College London, London, UK
| | - Nir Eynon
- Institute for Health and Sport (iHeS), Victoria University, Footscray, Melbourne, Victoria, Australia.
| | - Sarah Voisin
- Institute for Health and Sport (iHeS), Victoria University, Footscray, Melbourne, Victoria, Australia.
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3
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Dato S, Crocco P, Rambaldi Migliore N, Lescai F. Omics in a Digital World: The Role of Bioinformatics in Providing New Insights Into Human Aging. Front Genet 2021; 12:689824. [PMID: 34178042 PMCID: PMC8225294 DOI: 10.3389/fgene.2021.689824] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 05/17/2021] [Indexed: 12/13/2022] Open
Abstract
Background Aging is a complex phenotype influenced by a combination of genetic and environmental factors. Although many studies addressed its cellular and physiological age-related changes, the molecular causes of aging remain undetermined. Considering the biological complexity and heterogeneity of the aging process, it is now clear that full understanding of mechanisms underlying aging can only be achieved through the integration of different data types and sources, and with new computational methods capable to achieve such integration. Recent Advances In this review, we show that an omics vision of the age-dependent changes occurring as the individual ages can provide researchers with new opportunities to understand the mechanisms of aging. Combining results from single-cell analysis with systems biology tools would allow building interaction networks and investigate how these networks are perturbed during aging and disease. The development of high-throughput technologies such as next-generation sequencing, proteomics, metabolomics, able to investigate different biological markers and to monitor them simultaneously during the aging process with high accuracy and specificity, represents a unique opportunity offered to biogerontologists today. Critical Issues Although the capacity to produce big data drastically increased over the years, integration, interpretation and sharing of high-throughput data remain major challenges. In this paper we present a survey of the emerging omics approaches in aging research and provide a large collection of datasets and databases as a useful resource for the scientific community to identify causes of aging. We discuss their peculiarities, emphasizing the need for the development of methods focused on the integration of different data types. Future Directions We critically review the contribution of bioinformatics into the omics of aging research, and we propose a few recommendations to boost collaborations and produce new insights. We believe that significant advancements can be achieved by following major developments in bioinformatics, investing in diversity, data sharing and community-driven portable bioinformatics methods. We also argue in favor of more engagement and participation, and we highlight the benefits of new collaborations along these lines. This review aims at being a useful resource for many researchers in the field, and a call for new partnerships in aging research.
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Affiliation(s)
- Serena Dato
- Department of Biology, Ecology and Earth Sciences, University of Calabria, Rende, Italy
| | - Paolina Crocco
- Department of Biology, Ecology and Earth Sciences, University of Calabria, Rende, Italy
| | | | - Francesco Lescai
- Department of Biology and Biotechnology "L. Spallanzani", University of Pavia, Pavia, Italy
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An Aging-Related Single-Nucleotide Polymorphism is Associated With Altered Clinical Outcomes and Distinct Inflammatory Profiles in Aged Blunt Trauma Patients. Shock 2021; 53:146-155. [PMID: 31318836 DOI: 10.1097/shk.0000000000001411] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
The contribution of individual genetic determinants of aging to the adverse clinical outcomes and altered inflammation mediator networks characteristic of aged trauma patients is unknown. The AA genotype of the aging-related single-nucleotide polymorphism (SNP) rs2075650 in TOMM40 has been associated with longevity, while the AG and GG genotypes are associated with an increased risk of Alzheimer disease. Here, we studied the effect of rs2075650 on clinical outcomes and dynamic biomarker patterns after traumatic injury. Genomic DNA was obtained from blunt trauma patients admitted to the ICU and examined for 551,839 SNPs using an Illumina microarray kit. Plasma was sampled from each patient three times within the first 24 h and daily from day 1 to 7 then assayed for 31 biomarkers using Luminex. Aged patients (65-90 years) were segregated into AA (n = 77) and AG/GG (n = 17) genotypes. Additional comparisons were made with matched groups of young patients (18-30 years), controlling for injury severity score (ISS) and sex ratio, and also segregated into AA (n = 56) and AG/GG (n = 19) genotypes. Aged patients with the AA genotype had a significantly lower requirement for ventilation and fewer days on mechanical ventilation, as well as significantly higher levels of one mediator and lower levels of two mediators. Dynamic Bayesian Network inference revealed IL-23 as a central node in each network regardless of age or genotype, with MIG and IP-10 also as key mediators in the networks of the aged patients. These findings suggest that an aging-related SNP, rs2075650, may influence clinical outcomes and inflammation networks in aged patients following blunt trauma, and thus may serve as a predictive outcome biomarker in the setting of polytrauma.
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Curry-Hyde A, Ueberham U, Chen BJ, Zipfel I, Mills JD, Bochmann J, Jendrek R, Takenaka K, Kirazov L, Kirazov E, Jünger J, Brückner MK, Arendt T, Janitz M. Analysis of the Circular Transcriptome in the Synaptosomes of Aged Mice. Neuroscience 2020; 449:202-213. [PMID: 32926955 DOI: 10.1016/j.neuroscience.2020.09.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Revised: 08/28/2020] [Accepted: 09/02/2020] [Indexed: 12/21/2022]
Abstract
Recently, circular RNAs (circRNAs) have been revealed to be an important non-coding element of the transcriptome. The brain contains the most abundant and widespread expression of circRNA. There are also indications that the circular transcriptome undergoes dynamic changes as a result of brain ageing. Diminished cognitive function with increased age reflects the dysregulation of synaptic function and ineffective neurotransmission through alterations of the synaptic proteome. Here, we present changes in the circular transcriptome in ageing synapses using a mouse model. Specifically, we observed an accumulation of uniquely expressed circular transcripts in the synaptosomes of aged mice compared to young mice. Individual circRNA expression patterns were characterized by an increased abundance in the synaptosomes of young or aged mice, whereas the opposite expression was observed for the parental gene linear transcripts. These changes in expression were validated by RT-qPCR. We provide the first comprehensive survey of the circular transcriptome in mammalian synapses, thereby paving the way for future studies. Additionally, we present 16 genes that express solely circRNAs, without linear RNAs co-expression, exclusively in young and aged synaptosomes, suggesting a synaptic gene network that functions along canonical splicing activity.
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Affiliation(s)
- Ashton Curry-Hyde
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - Uwe Ueberham
- Paul Flechsig Institute for Brain Research, University of Leipzig, Leipzig, Germany
| | - Bei Jun Chen
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - Ivonne Zipfel
- Institute of Clinical Immunology, University of Leipzig, Leipzig, Germany
| | - James D Mills
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - Jana Bochmann
- Paul Flechsig Institute for Brain Research, University of Leipzig, Leipzig, Germany
| | - Renate Jendrek
- Paul Flechsig Institute for Brain Research, University of Leipzig, Leipzig, Germany
| | - Konii Takenaka
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - Ludmil Kirazov
- Institute of Experimental Morphology, Pathology and Anthropology with Museum, Bulgarian Academy of Sciences, Sofia, Bulgaria
| | - Evgeni Kirazov
- Institute of Experimental Morphology, Pathology and Anthropology with Museum, Bulgarian Academy of Sciences, Sofia, Bulgaria
| | - Jennifer Jünger
- Paul Flechsig Institute for Brain Research, University of Leipzig, Leipzig, Germany
| | - Martina K Brückner
- Paul Flechsig Institute for Brain Research, University of Leipzig, Leipzig, Germany
| | - Thomas Arendt
- Paul Flechsig Institute for Brain Research, University of Leipzig, Leipzig, Germany
| | - Michael Janitz
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia; Paul Flechsig Institute for Brain Research, University of Leipzig, Leipzig, Germany.
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Razavian T, Shakib ME, Gharagozli K, Maghsoudi H, Bidoki SK, Sadeghi S, Houshmand M. Association of rs12487066, rs12044852, rs10735781, rs3135388, rs6897932, rs1321172, rs10492972, and rs9657904 Polymorphisms with Multiple Sclerosis in Iranian Population. Oman Med J 2020; 35:e150. [PMID: 32760600 PMCID: PMC7374718 DOI: 10.5001/omj.2020.69] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2019] [Accepted: 03/05/2020] [Indexed: 11/03/2022] Open
Abstract
Objectives Multiple sclerosis (MS) is a chronic disease of the central nervous system. The pathogenesis of MS is best described by a multifactorial model incorporating interactions between genetic and environmental factors with the role of genetic factors increasingly taken into account. The main goal of this study was to investigate the associations of rs12487066, rs12044852, rs10735781, rs3135388, rs6897932, rs1321172, rs10492972, and rs9657904 polymorphisms with MS in the Iranian population. Methods A total of 83 patients with MS (82.0% female and 18.0% male; mean age = 35.2±8.6 years) and 100 physically and mentally healthy subjects (81.0% female and 19.0% male; mean age = 40.4±6.4 years) were selected using convenient sampling. A 5 mL blood sample was taken from each case and control patient. We used the tetra-primer ARMS-PCR method to genotype the desired polymorphisms. The associations between polymorphisms and the disease were studied based on codominant, dominant, recessive, and overdominant models. Results The rs10735781 polymorphism was codominantly (p = 0.029), overdominantly (p = 0.008), and dominantly (p = 0.009) associated with the disease. The rs6897932 was also found to be codominantly (p = 0.012), dominantly (p = 0.019), and recessively (p = 0.011) associated with the disease. Conclusions We found an association between the rs10735781 and rs6897932 polymorphisms on the EVI5 and IL7RA genes, respectively, with increased MS in the Iranian population. Therefore, single nucleotide polymorphisms in the EVI5 and IL7RA genes can be considered a prognostic marker of MS.
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Affiliation(s)
- Takavar Razavian
- Department of Biology, Shahr Rey Branch, Payame Noor University, Tehran, Iran
| | - Mahdieh Ebrahimi Shakib
- Department of Cellular and Molecular Biology, Pharmaceutical Sciences Branch, Islamic Azad University, Tehran, Iran
| | - Kurosh Gharagozli
- Department of Neurological Diseases, Shahid Beheshti University of Medical Sciences Branch, Tehran, Iran
| | - Hossein Maghsoudi
- Department of Biotechnology, Shahr Rey Branch, Payame Noor University, Tehran, Iran
| | - Seyed Kazem Bidoki
- Department of Biochemistry and Biotechnology, East Tehran Centre, Payame Noor University, Tehran, Iran
| | - Soha Sadeghi
- Department of Human Biology and Medical Genetics, Sapienza University, Rome, Italy
| | - Massoud Houshmand
- Department of Medical Genetics, National Institute of Genetic Engineering and Biotechnology, Tehran, Iran.,Research Center, Knowledge University, Erbil, Kurdistan Region, Iraq
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7
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Tan Q, Jacobsen R, Nygaard M, Soerensen M, Mengel-From J, Christiansen L, Christensen K. Cohort Differences in the Associations of Selected Candidate Genes With Risk of All-Cause Mortality at Advanced Ages. Am J Epidemiol 2020; 189:708-716. [PMID: 31971580 DOI: 10.1093/aje/kwaa007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Revised: 01/09/2020] [Accepted: 01/09/2020] [Indexed: 11/13/2022] Open
Abstract
Considerable efforts have been made to identify the genetic basis of human longevity, with only limited progress. One important drawback of current genetic studies is the limited knowledge of gene-environment interaction. Using 2 cohorts of long-lived individuals born in 1905 and 1915 in Denmark, we performed survival analysis to estimate risk of mortality for major candidate genes of aging and longevity and their cohort effects. Through statistical modeling that combines individual genetic and survival information with cohort-specific survival data, we estimated the relative risks of mortality from ages 95 to 103 years associated with genetic variants in apolipoprotein E (APOE), forkhead box class O3a, clusterin, and phosphatidylinositol binding clathrin assembly protein. Our analysis estimated a decreased risk of carrying the APOE$\varepsilon $4 allele (change in risk = -0.403, 95% confidence interval (CI): -0.831, 0.021; P = 0.040) in men of the later cohort, although the allele itself was harmful to survival across sexes (relative risk = 1.161, 95% CI: 1.027, 1.345; P = 0.026). We also estimated a cohort effect of increased risk for the minor allele of rs3851179 in phosphatidylinositol binding clathrin assembly protein with borderline significance (change in risk = 0.165, 95% CI: -0.010, 0.331; P = 0.052) in women. Our estimated significant cohort effect on APOE$\varepsilon $4 is indicative of the interplay between the gene and the changing environment that modulates survival at extreme ages.
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8
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Genetic Basis of Increased Lifespan and Postponed Senescence in Drosophila melanogaster. G3-GENES GENOMES GENETICS 2020; 10:1087-1098. [PMID: 31969430 PMCID: PMC7056975 DOI: 10.1534/g3.120.401041] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
Limited lifespan and senescence are near-universal phenomena. These quantitative traits exhibit variation in natural populations due to the segregation of many interacting loci and from environmental effects. Due to the complexity of the genetic control of lifespan and senescence, our understanding of the genetic basis of variation in these traits is incomplete. Here, we analyzed the pattern of genetic divergence between long-lived (O) Drosophila melanogaster lines selected for postponed reproductive senescence and unselected control (B) lines. We quantified the productivity of the O and B lines and found that reproductive senescence is maternally controlled. We therefore chose 57 candidate genes that are expressed in ovaries, 49 of which have human orthologs, and assessed the effects of RNA interference in ovaries and accessary glands on lifespan and reproduction. All but one candidate gene affected at least one life history trait in one sex or productivity week. In addition, 23 genes had antagonistic pleiotropic effects on lifespan and productivity. Identifying evolutionarily conserved genes affecting increased lifespan and delayed reproductive senescence is the first step toward understanding the evolutionary forces that maintain segregating variation at these loci in nature and may provide potential targets for therapeutic intervention to delay senescence while increasing lifespan.
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9
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Santovito A, Galli G, Ruberto S. Evaluation of the possible association of body mass index and four metabolic gene polymorphisms with longevity in an Italian cohort: a role forAPOE,eNOSandFTOgene polymorphisms. Ann Hum Biol 2019; 46:425-429. [DOI: 10.1080/03014460.2019.1659413] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Alfredo Santovito
- Department of Life Sciences and Systems Biology, University of Turin, Torino, Italy
| | - Gabriella Galli
- Department of Life Sciences and Systems Biology, University of Turin, Torino, Italy
| | - Stefano Ruberto
- Department of Life Sciences and Systems Biology, University of Turin, Torino, Italy
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10
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Cayuela H, Olgun K, Angelini C, Üzüm N, Peyronel O, Miaud C, Avcı A, Lemaitre JF, Schmidt BR. Slow life-history strategies are associated with negligible actuarial senescence in western Palaearctic salamanders. Proc Biol Sci 2019; 286:20191498. [PMID: 31455192 DOI: 10.1098/rspb.2019.1498] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
Actuarial senescence has been viewed for a long time as an inevitable and uniform process. However, the work on senescence has mainly focused on endotherms with deterministic growth and low regeneration capacity during the adult stage, leading to a strong taxonomic bias in the study of ageing. Recent studies have highlighted that senescence could indeed display highly variable trajectories that correlate with species life-history traits. Slow life histories and indeterminate growth seem to be associated with weak and late senescence. Furthermore, high regenerative abilities could lead to negligible senescence in ectotherms. However, demographic data for species that would allow testing of these hypotheses are scarce. Here, we investigated senescence patterns in 'true salamanders' from the western Palaearctic. Our results showed that salamanders have slow life histories and that they experience negligible senescence. This pattern was consistent at both intra- and interspecific levels, suggesting that the absence of senescence may be a phylogenetically conserved trait. The regenerative capacities of salamanders, in combination with other physiological and developmental features such as an indeterminate growth and a low metabolic rate, probably explain why these small ectotherms have lifespans similar to that of large endotherms and, in contrast with most amniotes, undergo negligible senescence. Our study seriously challenges the idea that senescence is a ubiquitous phenomenon in the tree of life.
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Affiliation(s)
- Hugo Cayuela
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, Quebec, Canada G1V 0A6
| | - Kurtuluş Olgun
- Department of Biology, Faculty of Arts and Sciences, Adnan Menderes University, Aydin, Turkey
| | - Claudio Angelini
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, Quebec, Canada G1V 0A6
| | - Nazan Üzüm
- Department of Biology, Faculty of Arts and Sciences, Adnan Menderes University, Aydin, Turkey
| | - Olivier Peyronel
- Syndicat de gestion des gorges de l'Ardèche, 07700 Saint-Remèze, France
| | - Claude Miaud
- PSL Research University, CEFE UMR 5175, CNRS, Université de Montpellier, Université Paul-Valéry Montpellier, EPHE, Biogéographie et Ecologie des vertébrés, Montpellier, France
| | - Aziz Avcı
- Department of Biology, Faculty of Arts and Sciences, Adnan Menderes University, Aydin, Turkey
| | - Jean-François Lemaitre
- CNRS, Laboratoire de Biométrie et Biologie Évolutive UMR 5558, Université Lyon 1, 69622 Villeurbanne, France
| | - Benedikt R Schmidt
- Institut für Evolutionsbiologie und Umweltwissenschaften, Universität Zürich, Winterthurerstrasse 190, 8057 Zürich, Switzerland.,Info fauna karch, UniMail, Bâtiment G, Bellevaux 51, 2000 Neuchâtel, Switzerland
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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.
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Ciabattini A, Nardini C, Santoro F, Garagnani P, Franceschi C, Medaglini D. Vaccination in the elderly: The challenge of immune changes with aging. Semin Immunol 2019; 40:83-94. [PMID: 30501873 DOI: 10.1016/j.smim.2018.10.010] [Citation(s) in RCA: 243] [Impact Index Per Article: 48.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2018] [Revised: 10/16/2018] [Accepted: 10/17/2018] [Indexed: 12/13/2022]
Abstract
The unprecedented increase of life expectancy challenges society to protect the elderly from morbidity and mortality making vaccination a crucial mean to safeguard this population. Indeed, infectious diseases, such as influenza and pneumonia, are among the top killers of elderly people in the world. Elderly individuals are more prone to severe infections and less responsive to vaccination prevention, due to immunosenescence combined with the progressive increase of a proinflammatory status characteristic of the aging process (inflammaging). These factors are responsible for most age-related diseases and correlate with poor response to vaccination. Therefore, it is of utmost interest to deepen the knowledge regarding the role of inflammaging in vaccination responsiveness to support the development of effective vaccination strategies designed for elderly. In this review we analyse the impact of age-associated factors such as inflammaging, immunosenescence and immunobiography on immune response to vaccination in the elderly, and we consider systems biology approaches as a mean for integrating a multitude of data in order to rationally design vaccination approaches specifically tailored for the elderly.
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Affiliation(s)
- Annalisa Ciabattini
- Laboratory of Molecular Microbiology and Biotechnology, Department of Medical Biotechnologies, University of Siena, Viale Bracci 16, 53100, Siena, Italy
| | - Christine Nardini
- Clinical Chemistry, Department of Laboratory Medicine, Karolinska Institutet at Huddinge University Hospital, SE-171 77, Stockholm, Sweden; Personal Genomics S.r.l., Via Roveggia, 43B, 37134, Verona, Italy; CNR IAC "Mauro Picone", Via dei Taurini, 19, 00185, Roma, Italy
| | - Francesco Santoro
- Laboratory of Molecular Microbiology and Biotechnology, Department of Medical Biotechnologies, University of Siena, Viale Bracci 16, 53100, Siena, Italy
| | - Paolo Garagnani
- Clinical Chemistry, Department of Laboratory Medicine, Karolinska Institutet at Huddinge University Hospital, SE-171 77, Stockholm, Sweden; Interdepartmental Centre 'L. Galvani' (CIG), University of Bologna, Via G. Petroni 26, 40139, Bologna, Italy; Department of Experimental, Diagnostic and Specialty Medicine (DIMES) - University of Bologna,40139, Bologna, Italy
| | - Claudio Franceschi
- IRCCS, Institute of Neurological Sciences of Bologna, Via Altura 3, 40139, Bologna, Italy.
| | - Donata Medaglini
- Laboratory of Molecular Microbiology and Biotechnology, Department of Medical Biotechnologies, University of Siena, Viale Bracci 16, 53100, Siena, Italy.
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13
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Ageing Investigation Using Two-Time-Point Metabolomics Data from KORA and CARLA Studies. Metabolites 2019; 9:metabo9030044. [PMID: 30841604 PMCID: PMC6468431 DOI: 10.3390/metabo9030044] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Revised: 02/26/2019] [Accepted: 02/28/2019] [Indexed: 01/06/2023] Open
Abstract
Ageing, one of the largest risk factors for many complex diseases, is highly interconnected to metabolic processes. Investigating the changes in metabolite concentration during ageing among healthy individuals offers us unique insights to healthy ageing. We aim to identify ageing-associated metabolites that are independent from chronological age to deepen our understanding of the long-term changes in metabolites upon ageing. Sex-stratified longitudinal analyses were performed using fasting serum samples of 590 healthy KORA individuals (317 women and 273 men) who participated in both baseline (KORA S4) and seven-year follow-up (KORA F4) studies. Replication was conducted using serum samples of 386 healthy CARLA participants (195 women and 191 men) in both baseline (CARLA-0) and four-year follow-up (CARLA-1) studies. Generalized estimation equation models were performed on each metabolite to identify ageing-associated metabolites after adjusting for baseline chronological age, body mass index, physical activity, smoking status, alcohol intake and systolic blood pressure. Literature researches were conducted to understand their biochemical relevance. Out of 122 metabolites analysed, we identified and replicated five (C18, arginine, ornithine, serine and tyrosine) and four (arginine, ornithine, PC aa C36:3 and PC ae C40:5) significant metabolites in women and men respectively. Arginine decreased, while ornithine increased in both sexes. These metabolites are involved in several ageing processes: apoptosis, mitochondrial dysfunction, inflammation, lipid metabolism, autophagy and oxidative stress resistance. The study reveals several significant ageing-associated metabolite changes with two-time-point measurements on healthy individuals. Larger studies are required to confirm our findings.
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14
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De Francesco D, Wit FW, Bürkle A, Oehlke S, Kootstra NA, Winston A, Franceschi C, Garagnani P, Pirazzini C, Libert C, Grune T, Weber D, Jansen EH, Sabin CA, Reiss P. Do people living with HIV experience greater age advancement than their HIV-negative counterparts? AIDS 2019; 33:259-268. [PMID: 30325781 PMCID: PMC6319574 DOI: 10.1097/qad.0000000000002063] [Citation(s) in RCA: 93] [Impact Index Per Article: 18.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2018] [Accepted: 06/28/2018] [Indexed: 12/21/2022]
Abstract
OBJECTIVES Despite successful antiretroviral therapy, people living with HIV (PLWH) may show signs of premature/accentuated aging. We compared established biomarkers of aging in PLWH, appropriately chosen HIV-negative individuals, and blood donors, and explored factors associated with biological age advancement. DESIGN Cross-sectional analysis of 134 PLWH on suppressive antiretroviral therapy, 79 lifestyle-comparable HIV-negative controls aged 45 years or older from the Co-morBidity in Relation to AIDS (COBRA) cohort, and 35 age-matched blood donors. METHODS Biological age was estimated using a validated algorithm based on 10 biomarkers. Associations between 'age advancement' (biological minus chronological age) and HIV status/parameters, lifestyle, cytomegalovirus (CMV), hepatitis B (HBV) and hepatitis C virus (HCV) infections were investigated using linear regression. RESULTS The average (95% CI) age advancement was greater in both HIV-positive [13.2 (11.6-14.9) years] and HIV-negative [5.5 (3.8-7.2) years] COBRA participants compared with blood donors [-7.0 (-4.1 to -9.9) years, both P's < 0.001)], but also in HIV-positive compared with HIV-negative participants (P < 0.001). Chronic HBV, higher anti-CMV IgG titer and CD8 T-cell count were each associated with increased age advancement, independently of HIV-status/group. Among HIV-positive participants, age advancement was increased by 3.5 (0.1-6.8) years among those with nadir CD4+ T-cell count less than 200 cells/μl and by 0.1 (0.06-0.2) years for each additional month of exposure to saquinavir. CONCLUSION Both treated PLWH and lifestyle-comparable HIV-negative individuals show signs of age advancement compared with blood donors, to which persistent CMV, HBV co-infection and CD8+ T-cell activation may have contributed. Age advancement remained greatest in PLWH and was related to prior immunodeficiency and cumulative saquinavir exposure.
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Affiliation(s)
| | - Ferdinand W. Wit
- Department of Global Health, Academic Medical Center and Amsterdam Institute for Global Health and Development
- Stichting HIV Monitoring, Amsterdam, The Netherlands
| | - Alexander Bürkle
- Molecular Toxicology Group, University of Konstanz, Konstanz, Germany
| | - Sebastian Oehlke
- Molecular Toxicology Group, University of Konstanz, Konstanz, Germany
| | - Neeltje A. Kootstra
- Department of Experimental Immunology, Academic Medical Center, Amsterdam, The Netherlands
| | - Alan Winston
- Division of Infectious Diseases, Imperial College London, London, UK
| | - Claudio Franceschi
- Department of Experimental, Diagnostic and Specialty Medicine, Alma Mater Studiorum Universitá di Bologna, Bologna, Italy
| | - Paolo Garagnani
- Department of Experimental, Diagnostic and Specialty Medicine, Alma Mater Studiorum Universitá di Bologna, Bologna, Italy
| | - Chiara Pirazzini
- Department of Experimental, Diagnostic and Specialty Medicine, Alma Mater Studiorum Universitá di Bologna, Bologna, Italy
| | - Claude Libert
- Department of Biomedical Molecular Biology, Ghent University
- Center for Inflammation Research, Flanders Institute for Biotechnology, Ghent, Belgium
| | - Tilman Grune
- Department of Molecular Toxicology, German Institute of Human Nutrition, Nuthetal, Germany
| | - Daniela Weber
- Department of Molecular Toxicology, German Institute of Human Nutrition, Nuthetal, Germany
| | - Eugène H.J.M. Jansen
- National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | | | - Peter Reiss
- Department of Global Health, Academic Medical Center and Amsterdam Institute for Global Health and Development
- Stichting HIV Monitoring, Amsterdam, The Netherlands
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15
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Timmers PR, Mounier N, Lall K, Fischer K, Ning Z, Feng X, Bretherick AD, Clark DW, Shen X, Esko T, Kutalik Z, Wilson JF, Joshi PK. Genomics of 1 million parent lifespans implicates novel pathways and common diseases and distinguishes survival chances. eLife 2019; 8:39856. [PMID: 30642433 PMCID: PMC6333444 DOI: 10.7554/elife.39856] [Citation(s) in RCA: 126] [Impact Index Per Article: 25.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Accepted: 11/20/2018] [Indexed: 12/31/2022] Open
Abstract
We use a genome-wide association of 1 million parental lifespans of genotyped subjects and data on mortality risk factors to validate previously unreplicated findings near CDKN2B-AS1, ATXN2/BRAP, FURIN/FES, ZW10, PSORS1C3, and 13q21.31, and identify and replicate novel findings near ABO, ZC3HC1, and IGF2R. We also validate previous findings near 5q33.3/EBF1 and FOXO3, whilst finding contradictory evidence at other loci. Gene set and cell-specific analyses show that expression in foetal brain cells and adult dorsolateral prefrontal cortex is enriched for lifespan variation, as are gene pathways involving lipid proteins and homeostasis, vesicle-mediated transport, and synaptic function. Individual genetic variants that increase dementia, cardiovascular disease, and lung cancer - but not other cancers - explain the most variance. Resulting polygenic scores show a mean lifespan difference of around five years of life across the deciles. Editorial note This article has been through an editorial process in which the authors decide how to respond to the issues raised during peer review. The Reviewing Editor's assessment is that all the issues have been addressed (see decision letter).
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Affiliation(s)
- Paul Rhj Timmers
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom
| | - Ninon Mounier
- Institute of Social and Preventive Medicine, University Hospital of Lausanne, Lausanne, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Kristi Lall
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia.,Institute of Mathematics and Statistics, University of Tartu, Tartu, Estonia
| | - Krista Fischer
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia.,Institute of Mathematics and Statistics, University of Tartu, Tartu, Estonia
| | - Zheng Ning
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Xiao Feng
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Andrew D Bretherick
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - David W Clark
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom
| | | | - Xia Shen
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Tõnu Esko
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia.,Broad Institute of Harvard and MIT, Cambridge, United States
| | - Zoltán Kutalik
- Institute of Social and Preventive Medicine, University Hospital of Lausanne, Lausanne, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - James F Wilson
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom.,MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Peter K Joshi
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom.,Institute of Social and Preventive Medicine, University Hospital of Lausanne, Lausanne, Switzerland
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16
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Pawlik-Pachucka E, Budzinska M, Wicik Z, Domaszewska-Szostek A, Owczarz M, Roszkowska-Gancarz M, Gewartowska M, Puzianowska-Kuznicka M. Age-associated increase of thyroid hormone receptor β gene promoter methylation coexists with decreased gene expression. Endocr Res 2018; 43:246-257. [PMID: 29733698 DOI: 10.1080/07435800.2018.1469648] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
PURPOSE It is not established if healthy aging of the thyroid axis is associated with alterations other than changes in hormone secretion. METHODS The expression of thyroid hormone receptor β gene (THRB) was analyzed in peripheral blood mononuclear cells (PBMC) obtained from young, elderly, and long-lived individuals. The interaction between the 3'UTR of TRβ1 mRNA and selected miRNAs was measured using pmirGLO reporter vector. Methylation of the THRB CpG island was analyzed using methylation-sensitive restriction/RT-PCR and bisulfite sequencing methods. RESULTS Old age was associated with a significantly lower amount of total TRβ mRNA (p = 0.033) and of TRβ1 mRNA (p = 0.02). Older age was also associated with significantly higher methylation of the THRB promoter (restriction/RT-PCR: p = 0.0023, bisulfite sequencing: p = 0.0004). Higher methylation corresponded to a lower expression of the THRB mRNA, but this correlation did not reach the level of significance. miR-26a interacted with two sites in the 3'UTR of the TRβ1 mRNA leading to the decrease of the reporter protein activity (p < 0.0001 and p = 0.0005), and miR-496 interacted with one of the two putative binding sites which also decreased the reporter protein activity (p < 0.0001). Analysis of the expression of miR-21, miR-26a, miR-146a, miR-181a, miR-221, and miR-496 showed that the expression of miR-26a was significantly decreased in old subjects (p = 0.017), while the levels of other miRNAs were unaffected. CONCLUSIONS Age-related decrease of THRB expression in PBMC of elderly and long-lived humans might be, in part, a result of the increased methylation of its promoter, but is unrelated to the activity of the miRNAs analyzed here.
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Affiliation(s)
- Eliza Pawlik-Pachucka
- a Department of Human Epigenetics , Mossakowski Medical Research Centre, PAS , Warsaw , Poland
- b Department of Geriatrics and Gerontology , Centre of Postgraduate Medical Education , Warsaw , Poland
| | - Monika Budzinska
- b Department of Geriatrics and Gerontology , Centre of Postgraduate Medical Education , Warsaw , Poland
| | - Zofia Wicik
- a Department of Human Epigenetics , Mossakowski Medical Research Centre, PAS , Warsaw , Poland
| | | | - Magdalena Owczarz
- b Department of Geriatrics and Gerontology , Centre of Postgraduate Medical Education , Warsaw , Poland
| | | | - Magdalena Gewartowska
- a Department of Human Epigenetics , Mossakowski Medical Research Centre, PAS , Warsaw , Poland
| | - Monika Puzianowska-Kuznicka
- a Department of Human Epigenetics , Mossakowski Medical Research Centre, PAS , Warsaw , Poland
- b Department of Geriatrics and Gerontology , Centre of Postgraduate Medical Education , Warsaw , Poland
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17
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Hook M, Roy S, Williams EG, Bou Sleiman M, Mozhui K, Nelson JF, Lu L, Auwerx J, Williams RW. Genetic cartography of longevity in humans and mice: Current landscape and horizons. Biochim Biophys Acta Mol Basis Dis 2018; 1864:2718-2732. [PMID: 29410319 PMCID: PMC6066442 DOI: 10.1016/j.bbadis.2018.01.026] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2017] [Revised: 01/24/2018] [Accepted: 01/28/2018] [Indexed: 12/14/2022]
Abstract
Aging is a complex and highly variable process. Heritability of longevity among humans and other species is low, and this finding has given rise to the idea that it may be futile to search for DNA variants that modulate aging. We argue that the problem in mapping longevity genes is mainly one of low power and the genetic and environmental complexity of aging. In this review we highlight progress made in mapping genes and molecular networks associated with longevity, paying special attention to work in mice and humans. We summarize 40 years of linkage studies using murine cohorts and 15 years of studies in human populations that have exploited candidate gene and genome-wide association methods. A small but growing number of gene variants contribute to known longevity mechanisms, but a much larger set have unknown functions. We outline these and other challenges and suggest some possible solutions, including more intense collaboration between research communities that use model organisms and human cohorts. Once hundreds of gene variants have been linked to differences in longevity in mammals, it will become feasible to systematically explore gene-by-environmental interactions, dissect mechanisms with more assurance, and evaluate the roles of epistasis and epigenetics in aging. A deeper understanding of complex networks-genetic, cellular, physiological, and social-should position us well to improve healthspan.
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Affiliation(s)
- Michael Hook
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Suheeta Roy
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Evan G Williams
- Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich CH-8093, Switzerland
| | - Maroun Bou Sleiman
- Interfaculty Institute of Bioengineering, Laboratory of Integrative and Systems Physiology, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne CH-1015, Switzerland
| | - Khyobeni Mozhui
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - James F Nelson
- Department of Cellular and Integrative Physiology and Barshop Institute for Longevity and Aging Studies, The University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA
| | - Lu Lu
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Johan Auwerx
- Interfaculty Institute of Bioengineering, Laboratory of Integrative and Systems Physiology, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne CH-1015, Switzerland
| | - Robert W Williams
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN 38163, USA.
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18
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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.
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19
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Davy PMC, Allsopp RC, Donlon TA, Morris BJ, Willcox DC, Willcox BJ. FOXO3 and Exceptional Longevity: Insights From Hydra to Humans. Curr Top Dev Biol 2018; 127:193-212. [PMID: 29433738 DOI: 10.1016/bs.ctdb.2017.10.001] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Aging is a complex, multifactorial process with significant plasticity. While several biological pathways appear to influence aging, few genes have been identified that are both evolutionarily conserved and have a strong impact on aging and age-related phenotypes. The FoxO3 gene (FOXO3), and its homologs in model organisms, appears especially important, forming a key gene in the insulin/insulin-like growth factor-signaling pathway, and influencing life span across diverse species. We highlight some of the key findings that are associated with FoxO3 protein, its gene and homologs in relation to lifespan in different species, and the insights these findings might provide about the molecular, cellular, and physiological processes that modulate aging and longevity in humans.
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Affiliation(s)
- Philip M C Davy
- Institute for Biogenesis Research, University of Hawaii, Honolulu, HI, United States
| | - Richard C Allsopp
- Institute for Biogenesis Research, University of Hawaii, Honolulu, HI, United States
| | - Timothy A Donlon
- Honolulu Heart Program/Honolulu-Asia Aging Study, Kuakini Medical Center, Honolulu, HI, United States; Ohana Genetics, Honolulu, HI, United States
| | - Brian J Morris
- Honolulu Heart Program/Honolulu-Asia Aging Study, Kuakini Medical Center, Honolulu, HI, United States; John A. Burns School of Medicine, University of Hawaii, Honolulu, HI, United States; School of Medical Sciences and Bosch Institute, University of Sydney, Sydney, NSW, Australia
| | - Donald Craig Willcox
- Honolulu Heart Program/Honolulu-Asia Aging Study, Kuakini Medical Center, Honolulu, HI, United States; John A. Burns School of Medicine, University of Hawaii, Honolulu, HI, United States; Okinawa International University, Ginowan, Okinawa, Japan
| | - Bradley J Willcox
- Honolulu Heart Program/Honolulu-Asia Aging Study, Kuakini Medical Center, Honolulu, HI, United States; John A. Burns School of Medicine, University of Hawaii, Honolulu, HI, United States.
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20
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Koopman JJE, Pijpe J, Böhringer S, van Bodegom D, Eriksson UK, Sanchez-Faddeev H, Ziem JB, Zwaan B, Slagboom PE, de Knijff P, Westendorp RGJ. Genetic variants determining survival and fertility in an adverse African environment: a population-based large-scale candidate gene association study. Aging (Albany NY) 2017; 8:1364-83. [PMID: 27356285 PMCID: PMC4993336 DOI: 10.18632/aging.100986] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2016] [Accepted: 06/10/2016] [Indexed: 12/15/2022]
Abstract
Human survival probability and fertility decline strongly with age. These life history traits have been shaped by evolution. However, research has failed to uncover a consistent genetic determination of variation in survival and fertility. As an explanation, such genetic determinants have been selected in adverse environments, in which humans have lived during most of their history, but are almost exclusively studied in populations in modern affluent environments. Here, we present a large-scale candidate gene association study in a rural African population living in an adverse environment. In 4387 individuals, we studied 4052 SNPs in 148 genes that have previously been identified as possible determinants of survival or fertility in animals or humans. We studied their associations with survival comparing newborns, middle-age adults, and old individuals. In women, we assessed their associations with reported and observed numbers of children. We found no statistically significant associations of these SNPs with survival between the three age groups nor with women's reported and observed fertility. Population stratification was unlikely to explain these results. Apart from a lack of power, we hypothesise that genetic heterogeneity of complex phenotypes and gene-environment interactions prevent the identification of genetic variants explaining variation in survival and fertility in humans.
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Affiliation(s)
- Jacob J E Koopman
- Section of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, Leiden, the Netherlands
| | - Jeroen Pijpe
- Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands.,University of Applied Sciences Leiden, Leiden, the Netherlands
| | - Stefan Böhringer
- Section of Medical Statistics, Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden, the Netherlands
| | - David van Bodegom
- Section of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, Leiden, the Netherlands.,Leyden Academy on Vitality and Ageing, Leiden, the Netherlands
| | - Ulrika K Eriksson
- Section of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, Leiden, the Netherlands
| | | | - Juventus B Ziem
- Department of Clinical Laboratory Sciences, School of Medicine and Health Sciences, University for Development Studies, Tamale, Ghana
| | - Bas Zwaan
- Laboratory of Genetics, Wageningen University, Wageningen, the Netherlands
| | - P Eline Slagboom
- Section of Molecular Epidemiology, Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden, the Netherlands
| | - Peter de Knijff
- Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | - Rudi G J Westendorp
- Section of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, Leiden, the Netherlands.,Department of Public Health and Center of Healthy Aging, University of Copenhagen, Copenhagen, Denmark
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21
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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".
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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.
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22
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Mozhui K, Snively BM, Rapp SR, Wallace RB, Williams RW, Johnson KC. Genetic Analysis of Mitochondrial Ribosomal Proteins and Cognitive Aging in Postmenopausal Women. Front Genet 2017; 8:127. [PMID: 28983317 PMCID: PMC5613226 DOI: 10.3389/fgene.2017.00127] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2017] [Accepted: 09/04/2017] [Indexed: 11/24/2022] Open
Abstract
Genes encoding mitochondrial ribosomal proteins (MRPs) have been linked to aging and longevity in model organisms (i.e., mice, Caenorhabditis elegans). Here we evaluated if the MRPs have conserved effects on aging traits in humans. We utilized data from 4,504 participants of the Women's Health Initiative Memory Study (WHIMS) who had both longitudinal cognitive data and genetic data. Two aging phenotypes were considered: (1) gross lifespan (time to all-cause mortality), and (2) cognitive aging (longitudinal rate of change in modified mini-mental state scores). We tested genetic association with variants in 78 members of the MRP gene family. Genetic association tests were done at the single nucleotide polymorphism (SNP) level, and at gene-set level using two distinct procedures (GATES and MAGMA). We included SNPs in APOE and adjusted the tests for the APOE-ε4 allele, a known risk factor for dementia. The strongest association signal is for the known cognitive aging SNP, rs429358, in APOE (p-value = 5 × 10-28 for cognitive aging; p-value = 0.03 for survival). We found no significant association between the MRPs and survival time. For cognitive aging, we detected SNP level association for rs189661478 in MRPL23 (p-value < 9 × 10-6). Furthermore, the gene-set analysis showed modest but significant association between the MRP family and cognitive aging. In conclusion, our results indicate a potential pathway-level association between the MRPs and cognitive aging that is independent of the APOE locus. We however did not detect association between the MRPs and lifespan.
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Affiliation(s)
- Khyobeni Mozhui
- Department of Preventive Medicine, University of Tennessee Health Science CenterMemphis, TN, United States
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science CenterMemphis, TN, United States
| | - Beverly M. Snively
- Department of Biostatistical Sciences, Wake Forest University School of MedicineWinston-Salem, NC, United States
| | - Stephen R. Rapp
- Department of Psychiatry and Behavioral Medicine, Wake Forest University School of MedicineWinston-Salem, NC, United States
| | - Robert B. Wallace
- Department of Epidemiology, University of Iowa College of Public HealthIowa City, IA, United States
| | - Robert W. Williams
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science CenterMemphis, TN, United States
| | - Karen C. Johnson
- Department of Preventive Medicine, University of Tennessee Health Science CenterMemphis, TN, United States
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23
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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.
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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
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24
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van den Berg N, Beekman M, Smith KR, Janssens A, Slagboom PE. Historical demography and longevity genetics: Back to the future. Ageing Res Rev 2017; 38:28-39. [PMID: 28689042 DOI: 10.1016/j.arr.2017.06.005] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2017] [Revised: 06/30/2017] [Accepted: 06/30/2017] [Indexed: 11/30/2022]
Abstract
Research into the genetic component of human longevity can provide important insights in mechanisms that may protect against age-related diseases and multi-morbidity. Thus far only a limited number of robust longevity loci have been detected in either candidate or genome wide association studies. One of the issues in these genetic studies is the definition of the trait being either lifespan, including any age at death or longevity, i.e. survival above a diverse series of thresholds. Likewise heritability and segregation research have conflated lifespan with longevity. The heritability of lifespan estimated across most studies has been rather low. Environmental factors have not been sufficiently investigated and the total amount of genetic variance contributing to longevity has not been estimated in sufficiently well-defined and powered studies. Up to now, genetic longevity studies lack the required insights into the nature and size of the genetic component and the optimal strategies for meta-analysis and subject selection for Next Generation Sequencing efforts. Historical demographic data containing deep genealogical information may help in estimating the best definition and heritability for longevity, its transmission patterns in multi-generational datasets and may allow relevant additive and modifying environmental factors such as socio-economic status, geographical background, exposure to environmental effects, birth order, and number of children to be included. In this light historical demographic data may be very useful for identifying lineages in human populations that are worth investigating further by geneticists.
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Affiliation(s)
- Niels van den Berg
- Department of Molecular Epidemiology, Leiden University, Albinusdreef 2, 2333 ZA Leiden, The Netherlands.
| | - Marian Beekman
- Department of Molecular Epidemiology, Leiden University, Albinusdreef 2, 2333 ZA Leiden, The Netherlands.
| | - Ken Robert Smith
- Department of Family and Consumer Studies, Population Sciences, Huntsman Cancer Institute, University of Utah, 225 S. 1400 E. Rm 228, Salt Lake City, United States.
| | - Angelique Janssens
- Department of Economic, Social, and Demographic History, Radboud University, Erasmusplein 1, 6525 HT Nijmegen, The Netherlands.
| | - Pieternella Eline Slagboom
- Department of Molecular Epidemiology, Leiden University, Albinusdreef 2, 2333 ZA Leiden, The Netherlands.
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25
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Owczarz M, Budzinska M, Domaszewska-Szostek A, Borkowska J, Polosak J, Gewartowska M, Slusarczyk P, Puzianowska-Kuznicka M. miR-34a and miR-9 are overexpressed and SIRT genes are downregulated in peripheral blood mononuclear cells of aging humans. Exp Biol Med (Maywood) 2017; 242:1453-1461. [PMID: 28699360 PMCID: PMC5544174 DOI: 10.1177/1535370217720884] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2017] [Accepted: 06/17/2017] [Indexed: 12/23/2022] Open
Abstract
Increased expression of sirtuins lowers the risk of age-related diseases, while their role in the regulation of longevity is not firmly established. Since aging is associated with immunosenescence, we tested whether sirtuin expression was modified in peripheral blood mononuclear cells (PBMC) in an age-related manner and whether this might result from altered expression of the selected miRNAs. The expression of seven SIRT genes and of SIRT1 mRNA-interacting miR-9, miR-34a, miR-132, and miR-199a-5p was evaluated by real-time PCR in PBMC originating from young (Y, n = 57, mean age 27 ± 4.3 years), elderly (E, n = 52, 65 ± 3.4 years), and long-lived (L, n = 56, 94 ± 3.5 years) individuals. Older age was associated with a decreased expression of the majority of the SIRT genes. Most severely affected were median expressions of SIRT1 ( P = 0.000001 for the whole studied group, Y vs. E: P < 0.000001, Y vs. L: P < 0.000001), and of SIRT3 ( P = 0.000001, Y vs. E: P = 0.000004, Y vs. L: P = 0.000028). Older age was also associated with the increased median expression of miR-34a ( P = 0.000001, Y vs. E: P = 0.001, Y vs. L: P = 0.000004) and of miR-9 ( P = 0.05, Y vs. L: P = 0.054). In functional studies, miR-9 interacted with the 3'UTR of SIRT1 mRNA. The SIRT1 mRNA level negatively correlated with the expression of miR-34a ( r = -0.234, P = 0.003). In conclusion, age-related decrease of SIRT1 expression in PBMC might in part result from overexpression of miR-34a and miR-9. In addition, the sustained expression of the SIRT genes in PBMC is not a prerequisite to longevity in humans but might be one of the reasons for the immune system dysfunction in the elderly. Impact statement High expression of sirtuins, particularly SIRT1, lowers the risk of age-related diseases and probably slows down the rate of aging; therefore, their sustained expression should be one of the features of longevity. However, in this work we show that in peripheral blood mononuclear cells (PBMC) of long-lived individuals, expression of majority of the SIRT genes is significantly lower than in cells of young study subjects. In long-lived individuals, downregulation of SIRT1 coexists with upregulation of SIRT1 mRNA-interacting miR-34a and miR-9, indicating the role of epigenetic drift in age-dependent deregulation of SIRT1 expression. Such constellation of SIRT1, miR-34a, and miR-9 expression in PBMC of successfully aging long-lived individuals indicates that, at least in these individuals, it is not a risk factor for morbidity and mortality. It might however affect the function of the immune system and, therefore, aging individuals can profit from interventions increasing the level of SIRT1.
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Affiliation(s)
- Magdalena Owczarz
- Department of Geriatrics and Gerontology, Medical Centre of Postgraduate Education, 01-813 Warsaw, Poland
| | - Monika Budzinska
- Department of Geriatrics and Gerontology, Medical Centre of Postgraduate Education, 01-813 Warsaw, Poland
| | | | - Joanna Borkowska
- Department of Human Epigenetics, Mossakowski Medical Research Centre PAS, 02-106 Warsaw, Poland
| | - Jacek Polosak
- Department of Human Epigenetics, Mossakowski Medical Research Centre PAS, 02-106 Warsaw, Poland
| | - Magdalena Gewartowska
- Department of Human Epigenetics, Mossakowski Medical Research Centre PAS, 02-106 Warsaw, Poland
| | - Przemyslaw Slusarczyk
- PolSenior Project, International Institute of Molecular and Cell Biology, 02-109 Warsaw, Poland
| | - Monika Puzianowska-Kuznicka
- Department of Geriatrics and Gerontology, Medical Centre of Postgraduate Education, 01-813 Warsaw, Poland
- Department of Human Epigenetics, Mossakowski Medical Research Centre PAS, 02-106 Warsaw, Poland
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26
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Häsler R, Venkatesh G, Tan Q, Flachsbart F, Sinha A, Rosenstiel P, Lieb W, Schreiber S, Christensen K, Christiansen L, Nebel A. Genetic interplay between human longevity and metabolic pathways - a large-scale eQTL study. Aging Cell 2017; 16:716-725. [PMID: 28421666 PMCID: PMC5506416 DOI: 10.1111/acel.12598] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/14/2017] [Indexed: 11/30/2022] Open
Abstract
Human longevity is a complex phenotype influenced by genetic and environmental components. Unraveling the contribution of genetic vs. nongenetic factors to longevity is a challenging task. Here, we conducted a large‐scale RNA‐sequencing‐based expression quantitative trait loci study (eQTL) with subsequent heritability analysis. The investigation was performed on blood samples from 244 individuals from Germany and Denmark, representing various age groups including long‐lived subjects up to the age of 104 years. Our eQTL‐based approach revealed for the first time that human longevity is associated with a depletion of metabolic pathways in a genotype‐dependent and independent manner. Further analyses indicated that 20% of the differentially expressed genes are influenced by genetic variants in cis. The subsequent study of twins showed that the transcriptional activity of a third of the differentially regulated genes is heritable. These findings suggest that longevity‐associated biological processes such as altered metabolism are, to a certain extent, also the driving force of longevity rather than just a consequence of old age.
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Affiliation(s)
- Robert Häsler
- Institute of Clinical Molecular Biology; Kiel University; 24105 Kiel Germany
| | - Geetha Venkatesh
- Institute of Clinical Molecular Biology; Kiel University; 24105 Kiel Germany
| | - Qihua Tan
- The Danish Twin Registry; Unit of Epidemiology, Biostatistics and Biodemography; University of Southern Denmark; 5000 Odense Denmark
- Department of Clinical Genetics; Odense University Hospital; 5000 Odense Denmark
| | | | - Anupam Sinha
- Institute of Clinical Molecular Biology; Kiel University; 24105 Kiel Germany
| | - Philip Rosenstiel
- Institute of Clinical Molecular Biology; Kiel University; 24105 Kiel Germany
| | - Wolfgang Lieb
- Institute of Epidemiology; Kiel University; 24105 Kiel Germany
| | - Stefan Schreiber
- Institute of Clinical Molecular Biology; Kiel University; 24105 Kiel Germany
| | - Kaare Christensen
- The Danish Twin Registry; Unit of Epidemiology, Biostatistics and Biodemography; University of Southern Denmark; 5000 Odense Denmark
- Department of Clinical Genetics; Odense University Hospital; 5000 Odense Denmark
- Department of Clinical Biochemistry and Pharmacology; Odense University Hospital; 5000 Odense Denmark
| | - Lene Christiansen
- The Danish Twin Registry; Unit of Epidemiology, Biostatistics and Biodemography; University of Southern Denmark; 5000 Odense Denmark
| | - Almut Nebel
- Institute of Clinical Molecular Biology; Kiel University; 24105 Kiel Germany
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27
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Demographic, genetic and phenotypic characteristics of centenarians in Italy: Focus on gender differences. Mech Ageing Dev 2017; 165:68-74. [DOI: 10.1016/j.mad.2017.04.008] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2016] [Revised: 03/22/2017] [Accepted: 04/28/2017] [Indexed: 11/22/2022]
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28
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Tai A, Kamei Y, Mukai Y. The forkhead-like transcription factor (Fhl1p) maintains yeast replicative lifespan by regulating ribonucleotide reductase 1 (RNR1) gene transcription. Biochem Biophys Res Commun 2017; 488:218-223. [PMID: 28495531 DOI: 10.1016/j.bbrc.2017.05.038] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2017] [Accepted: 05/06/2017] [Indexed: 11/18/2022]
Abstract
In eukaryotes, numerous genetic factors contribute to the lifespan including metabolic enzymes, signal transducers, and transcription factors. As previously reported, the forkhead-like transcription factor (FHL1) gene was required for yeast replicative lifespan and cell proliferation. To determine how Fhl1p regulates the lifespan, we performed a DNA microarray analysis of a heterozygous diploid strain deleted for FHL1. We discovered numerous Fhl1p-target genes, which were then screened for lifespan-regulating activity. We identified the ribonucleotide reductase (RNR) 1 gene (RNR1) as a regulator of replicative lifespan. RNR1 encodes a large subunit of the RNR complex, which consists of two large (Rnr1p/Rnr3p) and two small (Rnr2p/Rnr4p) subunits. Heterozygous deletion of FHL1 reduced transcription of RNR1 and RNR3, but not RNR2 and RNR4. Chromatin immunoprecipitation showed that Fhl1p binds to the promoter regions of RNR1 and RNR3. Cells harboring an RNR1 deletion or an rnr1-C428A mutation, which abolishes RNR catalytic activity, exhibited a short lifespan. In contrast, cells with a deletion of the other RNR genes had a normal lifespan. Overexpression of RNR1, but not RNR3, restored the lifespan of the heterozygous FHL1 mutant to the wild-type (WT) level. The Δfhl1/FHL1 mutant conferred a decrease in dNTP levels and an increase in hydroxyurea (HU) sensitivity. These findings reveal that Fhl1p regulates RNR1 gene transcription to maintain dNTP levels, thus modulating longevity by protection against replication stress.
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Affiliation(s)
- Akiko Tai
- Department of Bioscience, Faculty of Bioscience, Nagahama Institute of Bio-Science and Technology, Nagahama, Shiga, Japan
| | - Yuka Kamei
- Department of Bioscience, Faculty of Bioscience, Nagahama Institute of Bio-Science and Technology, Nagahama, Shiga, Japan
| | - Yukio Mukai
- Department of Bioscience, Faculty of Bioscience, Nagahama Institute of Bio-Science and Technology, Nagahama, Shiga, Japan.
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29
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Liu G, Liu X, Yu P, Wang Q, Wang H, Li C, Ye G, Wu X, Tan C. APOE gene polymorphism in long-lived individuals from a central China population. Sci Rep 2017; 7:3292. [PMID: 28607446 PMCID: PMC5468225 DOI: 10.1038/s41598-017-03227-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2016] [Accepted: 04/24/2017] [Indexed: 11/30/2022] Open
Abstract
Previous studies from European and East Asian cohorts reported conflicting results over whether and how the frequencies of the three common alleles, ε2, ε3 and ε4, of the apolioprotein E gene (APOE), in long-lived individuals differ from those in younger age groups. This study was the first to analyse these frequencies of long-lived individuals from central China. Genotyping of APOE alleles and genotypes was carried out in 70 long-lived individuals and 204 younger controls. No difference in the frequency of any APOE allele or genotype was found between the long-lived participants and their younger controls, but the long-lived group seemed to have a higher ε4 frequency (15.71%) than the 24–50 and 51–75 age groups (10.2% and 11.32%, P > 0.05). Notably, when compared with two other Chinese studies, the central China long-lived group had a higher ε4 frequency than its southern and eastern China counterparts (15.71% vs. 2.82% and 2.54%, P < 0.05). It is not clear to what extent population substructure or lifestyles contributed to these divergent findings. A clear understanding of the contribution of APOE polymorphisms to longevity in the Han Chinese population may be achieved only through large scale studies with participants from well-defined regional clusters.
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Affiliation(s)
- Guodong Liu
- Department of Geriatrics, Zhongnan Hospital, Wuhan University, Wuhan, China
| | - Xiang Liu
- Department of Stomatology, the First Affiliated Hospital, Hainan Medical University, Haikou, China
| | - Pulin Yu
- National Institute of Geriatric Medicine, Beijing Hospital, Beijing, China
| | - Qi Wang
- Department of Geriatrics, Zhongnan Hospital, Wuhan University, Wuhan, China
| | - Hua Wang
- Department of Geriatrics, Zhongnan Hospital, Wuhan University, Wuhan, China.
| | - Chenfang Li
- Department of Geriatrics, Zhongnan Hospital, Wuhan University, Wuhan, China
| | - Guangming Ye
- Department of Geriatrics, Zhongnan Hospital, Wuhan University, Wuhan, China
| | - Xiaoling Wu
- Department of Geriatrics, Zhongnan Hospital, Wuhan University, Wuhan, China
| | - Chunling Tan
- Department of Geriatrics, Zhongnan Hospital, Wuhan University, Wuhan, China
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30
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Kaisers W, Boukamp P, Stark HJ, Schwender H, Tigges J, Krutmann J, Schaal H. Age, gender and UV-exposition related effects on gene expression in in vivo aged short term cultivated human dermal fibroblasts. PLoS One 2017; 12:e0175657. [PMID: 28475575 PMCID: PMC5419556 DOI: 10.1371/journal.pone.0175657] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2016] [Accepted: 03/29/2017] [Indexed: 12/15/2022] Open
Abstract
Ageing, the progressive functional decline of virtually all tissues, affects numerous living organisms. Main phenotypic alterations of human skin during the ageing process include reduced skin thickness and elasticity which are related to extracellular matrix proteins. Dermal fibroblasts, the main source of extracellular fibrillar proteins, exhibit complex alterations during in vivo ageing and any of these are likely to be accompanied or caused by changes in gene expression. We investigated gene expression of short term cultivated in vivo aged human dermal fibroblasts using RNA-seq. Therefore, fibroblast samples derived from unaffected skin were obtained from 30 human donors. The donors were grouped by gender and age (Young: 19 to 25 years, Middle: 36 to 45 years, Old: 60 to 66 years). Two samples were taken from each donor, one from a sun-exposed and one from a sun-unexposed site. In our data, no consistently changed gene expression associated with donor age can be asserted. Instead, highly correlated expression of a small number of genes associated with transforming growth factor beta signalling was observed. Also, known gene expression alterations of in vivo aged dermal fibroblasts seem to be non-detectable in cultured fibroblasts.
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Affiliation(s)
- Wolfgang Kaisers
- Center for Bioinformatics and Biostatistics, BMFZ, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany
| | - Petra Boukamp
- IUF - Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Holger Schwender
- Center for Bioinformatics and Biostatistics, BMFZ, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany
- Mathematical Institute, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany
| | - Julia Tigges
- IUF - Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany
| | - Jean Krutmann
- IUF - Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany
- Medical Faculty, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany
| | - Heiner Schaal
- Institut für Virologie, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany
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31
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Couoh LR. Differences between biological and chronological age-at-death in human skeletal remains: A change of perspective. AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY 2017; 163:671-695. [DOI: 10.1002/ajpa.23236] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2016] [Revised: 04/05/2017] [Accepted: 04/10/2017] [Indexed: 12/13/2022]
Affiliation(s)
- Lourdes R. Couoh
- Postgraduate Division, Faculty of Philosophy and Literature, Institute of Anthropological Research; The National Autonomous University of Mexico [UNAM]; Coyoacán, Mexico city 04510 Mexico
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32
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Dudkowska M, Janiszewska D, Karpa A, Broczek K, Dabrowski M, Sikora E. The role of gender and labour status in immunosenescence of 65+ Polish population. Biogerontology 2017; 18:581-590. [PMID: 28444479 PMCID: PMC5514219 DOI: 10.1007/s10522-017-9702-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Accepted: 04/07/2017] [Indexed: 01/24/2023]
Abstract
Women are living longer than men and it seems that one of the reasons could be better immune system of females. In Poland, contrary to many European countries, women retire earlier than men, namely at 60 and 65, respectively. We asked the question how the gender and labour status were interconnected with some immunological parameters included in the so called immune risk profile (IRP), such as CD4+/CD8+ ratio, percentage of CD8+CD28−, and NK, and the level of circulating cytokines. A total of 92 men and 100 women past the retirement age, namely 65–74 years old, still working or not, were examined. We have found statistically significant lower percentage of CD8+CD28− cells and non-statistically significant higher CD4+/CD8+ ratio in women, whereas the percentage of NK was higher in men. Moreover, the percentage of CD8+CD28− cells was negatively correlated with the CD4+/CD8+ ratio and the concentration of IL8 was positively correlated with the concentration of IL10 both in men and women. In men, the level of IL10 was higher than in women. Altogether, we found that gender, but not labour status, influences immunosenescence of the examined population of 65–74 years old Polish people.
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Affiliation(s)
- Magdalena Dudkowska
- Laboratory of Molecular Bases of Aging, Department of Biochemistry, Nencki Institute of Experimental Biology of Polish Academy of Sciences, Pasteur Str. 3, 02-093, Warsaw, Poland.
| | - Dorota Janiszewska
- Laboratory of Molecular Bases of Aging, Department of Biochemistry, Nencki Institute of Experimental Biology of Polish Academy of Sciences, Pasteur Str. 3, 02-093, Warsaw, Poland
| | - Anna Karpa
- Laboratory of Molecular Bases of Aging, Department of Biochemistry, Nencki Institute of Experimental Biology of Polish Academy of Sciences, Pasteur Str. 3, 02-093, Warsaw, Poland
| | - Katarzyna Broczek
- Laboratory of Bioinformatics, Nencki Institute of Experimental Biology of Polish Academy of Sciences, Pasteur Str. 3, 02-093, Warsaw, Poland
| | - Michal Dabrowski
- Department of Geriatrics, Medical University of Warsaw, Oczki Str. 4, 02-007, Warsaw, Poland
| | - Ewa Sikora
- Laboratory of Molecular Bases of Aging, Department of Biochemistry, Nencki Institute of Experimental Biology of Polish Academy of Sciences, Pasteur Str. 3, 02-093, Warsaw, Poland
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33
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Ambatipudi S, Horvath S, Perrier F, Cuenin C, Hernandez-Vargas H, Le Calvez-Kelm F, Durand G, Byrnes G, Ferrari P, Bouaoun L, Sklias A, Chajes V, Overvad K, Severi G, Baglietto L, Clavel-Chapelon F, Kaaks R, Barrdahl M, Boeing H, Trichopoulou A, Lagiou P, Naska A, Masala G, Agnoli C, Polidoro S, Tumino R, Panico S, Dollé M, Peeters PHM, Onland-Moret NC, Sandanger TM, Nøst TH, Weiderpass E, Quirós JR, Agudo A, Rodriguez-Barranco M, Huerta Castaño JM, Barricarte A, Fernández AM, Travis RC, Vineis P, Muller DC, Riboli E, Gunter M, Romieu I, Herceg Z. DNA methylome analysis identifies accelerated epigenetic ageing associated with postmenopausal breast cancer susceptibility. Eur J Cancer 2017; 75:299-307. [PMID: 28259012 PMCID: PMC5512160 DOI: 10.1016/j.ejca.2017.01.014] [Citation(s) in RCA: 127] [Impact Index Per Article: 18.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2016] [Revised: 12/16/2016] [Accepted: 01/20/2017] [Indexed: 01/12/2023]
Abstract
AIM OF THE STUDY A vast majority of human malignancies are associated with ageing, and age is a strong predictor of cancer risk. Recently, DNA methylation-based marker of ageing, known as 'epigenetic clock', has been linked with cancer risk factors. This study aimed to evaluate whether the epigenetic clock is associated with breast cancer risk susceptibility and to identify potential epigenetics-based biomarkers for risk stratification. METHODS Here, we profiled DNA methylation changes in a nested case-control study embedded in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort (n = 960) using the Illumina HumanMethylation 450K BeadChip arrays and used the Horvath age estimation method to calculate epigenetic age for these samples. Intrinsic epigenetic age acceleration (IEAA) was estimated as the residuals by regressing epigenetic age on chronological age. RESULTS We observed an association between IEAA and breast cancer risk (OR, 1.04; 95% CI, 1.007-1.076, P = 0.016). One unit increase in IEAA was associated with a 4% increased odds of developing breast cancer (OR, 1.04; 95% CI, 1.007-1.076). Stratified analysis based on menopausal status revealed that IEAA was associated with development of postmenopausal breast cancers (OR, 1.07; 95% CI, 1.020-1.11, P = 0.003). In addition, methylome-wide analyses revealed that a higher mean DNA methylation at cytosine-phosphate-guanine (CpG) islands was associated with increased risk of breast cancer development (OR per 1 SD = 1.20; 95 %CI: 1.03-1.40, P = 0.02) whereas mean methylation levels at non-island CpGs were indistinguishable between cancer cases and controls. CONCLUSION Epigenetic age acceleration and CpG island methylation have a weak, but statistically significant, association with breast cancer susceptibility.
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Affiliation(s)
| | - Steve Horvath
- Human Genetics and Biostatistics, University of California Los Angeles, Los Angeles, CA 90095-7088, USA
| | - Flavie Perrier
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Cyrille Cuenin
- International Agency for Research on Cancer (IARC), Lyon, France
| | | | | | - Geoffroy Durand
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Graham Byrnes
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Pietro Ferrari
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Liacine Bouaoun
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Athena Sklias
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Véronique Chajes
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Kim Overvad
- Section for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Gianluca Severi
- Inserm, Centre de Recherche en Epidémiologie et Santé des Populations (CESP, U1018), Université Paris-Saclay, Université Paris-Sud, UVSQ, Institut Gustave Roussy, Villejuif, France; Human Genetics Foundation (HuGeF), Torino, Italy; Cancer Epidemiology Centre, Cancer Council Victoria and Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourn, Australia
| | - Laura Baglietto
- Inserm, Centre de Recherche en Epidémiologie et Santé des Populations (CESP, U1018), Université Paris-Saclay, Université Paris-Sud, UVSQ, Institut Gustave Roussy, Villejuif, France; Cancer Epidemiology Centre, Cancer Council Victoria and Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourn, Australia
| | - Françoise Clavel-Chapelon
- Inserm, Centre de Recherche en Epidémiologie et Santé des Populations (CESP, U1018), Université Paris-Saclay, Université Paris-Sud, UVSQ, Institut Gustave Roussy, Villejuif, France
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Myrto Barrdahl
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
| | - Antonia Trichopoulou
- Hellenic Health Foundation, Athens, Greece; WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece
| | - Pagona Lagiou
- Hellenic Health Foundation, Athens, Greece; WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece; Department of Epidemiology, Harvard School of Public Health, Boston, USA
| | - Androniki Naska
- Hellenic Health Foundation, Athens, Greece; WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece
| | - Giovanna Masala
- Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute - ISPO, Florence, Italy
| | - Claudia Agnoli
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale Tumori, Milano, Italy
| | | | - Rosario Tumino
- Cancer Registry and Histopathology Unit, "Civic M.P. Arezzo" Hospital, ASP Ragusa, Italy
| | - Salvatore Panico
- Dipartimento di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy
| | - Martijn Dollé
- Centre for Health Protection, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Petra H M Peeters
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands; MRC-PHE Centre for Environment and Health, Dept of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK
| | - N Charlotte Onland-Moret
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Torkjel M Sandanger
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | - Therese H Nøst
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | - Elisabete Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway; Department of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Genetic Epidemiology Group, Folkhälsan Research Center, Helsinki, Finland
| | | | - Antonio Agudo
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Miguel Rodriguez-Barranco
- Escuela Andaluza de Salud Pública, Instituto de Investigación Biosanitaria ibsn Granada, Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Spain
| | - José María Huerta Castaño
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Spain
| | - Aurelio Barricarte
- Navarra Public Health Institute, Pamplona, Spain; Navarra Institute for Health Research (IdiSNA) Pamplona, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Spain
| | - Ander Matheu Fernández
- Cellular Oncology Group, Biodonostia Health Research Institute, Paseo Dr. Beguiristain s/n, San Sebastian, Spain; IKERBASQUE, Basque Foundation, Spain
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health University of Oxford, Oxford UK
| | - Paolo Vineis
- School of Public Health, Imperial College London, London, UK
| | - David C Muller
- School of Public Health, Imperial College London, London, UK
| | - Elio Riboli
- School of Public Health, Imperial College London, London, UK
| | - Marc Gunter
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Isabelle Romieu
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Zdenko Herceg
- International Agency for Research on Cancer (IARC), Lyon, France.
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Associations of triglyceride levels with longevity and frailty: A Mendelian randomization analysis. Sci Rep 2017; 7:41579. [PMID: 28134330 PMCID: PMC5278549 DOI: 10.1038/srep41579] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2016] [Accepted: 12/23/2016] [Indexed: 11/29/2022] Open
Abstract
Observational studies suggest associations of triglyceride levels with longevity and frailty. This study aimed to test whether the associations are causal. We used data from the Rugao Longevity and Ageing Study, a population-based cohort study performed in Rugao, China. A variant in the APOA5 gene region (rs662799) was used as the genetic instrument. Mendelian randomization (MR) analyses were performed to examine the associations of genetically predicted triglycerides with two ageing phenotypes – longevity ( ≥95 years) and frailty (modified Fried frailty phenotype and Rockwood frailty index). C allele of rs662799 was robustly associated with higher triglyceride levels in the comparison group (β = 0.301 mmol/L per allele, p < 0.001), with an F statistic of 95.3 and R2 = 0.040. However MR analysis did not provide strong evidence for an association between genetically predicted triglyceride levels and probability of longevity (OR: 0.61; 95% CI: 0.35, 1.07 per 1 mmol/L increase in triglycerides). In the ageing arm (70–84 years), genetically predicted triglyceride levels were not associated with the frailty index (β = 0.008; 95% CI: −0.013, 0.029) or the frailty phenotype (OR: 1.91; 95% CI: 0.84, 4.37). In conclusion, there is currently a lack of sufficient evidence to support causal associations of triglyceride levels with longevity and frailty in elderly populations.
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Slieker RC, van Iterson M, Luijk R, Beekman M, Zhernakova DV, Moed MH, Mei H, van Galen M, Deelen P, Bonder MJ, Zhernakova A, Uitterlinden AG, Tigchelaar EF, Stehouwer CDA, Schalkwijk CG, van der Kallen CJH, Hofman A, van Heemst D, de Geus EJ, van Dongen J, Deelen J, van den Berg LH, van Meurs J, Jansen R, 't Hoen PAC, Franke L, Wijmenga C, Veldink JH, Swertz MA, van Greevenbroek MMJ, van Duijn CM, Boomsma DI, Slagboom PE, Heijmans BT. Age-related accrual of methylomic variability is linked to fundamental ageing mechanisms. Genome Biol 2016; 17:191. [PMID: 27654999 PMCID: PMC5032245 DOI: 10.1186/s13059-016-1053-6] [Citation(s) in RCA: 91] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2016] [Accepted: 09/01/2016] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Epigenetic change is a hallmark of ageing but its link to ageing mechanisms in humans remains poorly understood. While DNA methylation at many CpG sites closely tracks chronological age, DNA methylation changes relevant to biological age are expected to gradually dissociate from chronological age, mirroring the increased heterogeneity in health status at older ages. RESULTS Here, we report on the large-scale identification of 6366 age-related variably methylated positions (aVMPs) identified in 3295 whole blood DNA methylation profiles, 2044 of which have a matching RNA-seq gene expression profile. aVMPs are enriched at polycomb repressed regions and, accordingly, methylation at those positions is associated with the expression of genes encoding components of polycomb repressive complex 2 (PRC2) in trans. Further analysis revealed trans-associations for 1816 aVMPs with an additional 854 genes. These trans-associated aVMPs are characterized by either an age-related gain of methylation at CpG islands marked by PRC2 or a loss of methylation at enhancers. This distinct pattern extends to other tissues and multiple cancer types. Finally, genes associated with aVMPs in trans whose expression is variably upregulated with age (733 genes) play a key role in DNA repair and apoptosis, whereas downregulated aVMP-associated genes (121 genes) are mapped to defined pathways in cellular metabolism. CONCLUSIONS Our results link age-related changes in DNA methylation to fundamental mechanisms that are thought to drive human ageing.
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Affiliation(s)
- Roderick C Slieker
- Molecular Epidemiology section, Leiden University Medical Center, Einthovenweg 20, 2333 ZC, Leiden, The Netherlands
| | - Maarten van Iterson
- Molecular Epidemiology section, Leiden University Medical Center, Einthovenweg 20, 2333 ZC, Leiden, The Netherlands
| | - René Luijk
- Molecular Epidemiology section, Leiden University Medical Center, Einthovenweg 20, 2333 ZC, Leiden, The Netherlands
| | - Marian Beekman
- Molecular Epidemiology section, Leiden University Medical Center, Einthovenweg 20, 2333 ZC, Leiden, The Netherlands
| | - Daria V Zhernakova
- Department of Genetics, University Medical Centre Groningen, Antonius Deusinglaan 1, 9713 AV, Groningen, The Netherlands
| | - Matthijs H Moed
- Molecular Epidemiology section, Leiden University Medical Center, Einthovenweg 20, 2333 ZC, Leiden, The Netherlands
| | - Hailiang Mei
- Sequence Analysis Support Core, Leiden University Medical Center, Einthovenweg 20, 2333 ZC, Leiden, The Netherlands
| | - Michiel van Galen
- Department of Human Genetics, Leiden University Medical Center, Einthovenweg 20, 2333 ZC, Leiden, The Netherlands
| | - Patrick Deelen
- Department of Genetics, University Medical Centre Groningen, Antonius Deusinglaan 1, 9713 AV, Groningen, The Netherlands
| | - Marc Jan Bonder
- Department of Genetics, University Medical Centre Groningen, Antonius Deusinglaan 1, 9713 AV, Groningen, The Netherlands
| | - Alexandra Zhernakova
- Department of Genetics, University Medical Centre Groningen, Antonius Deusinglaan 1, 9713 AV, Groningen, The Netherlands
| | - André G Uitterlinden
- Department of Internal Medicine, Erasmus University Medical Center, Wytemaweg 80, 3015 CN, Rotterdam, The Netherlands
| | - Ettje F Tigchelaar
- Department of Genetics, University Medical Centre Groningen, Antonius Deusinglaan 1, 9713 AV, Groningen, The Netherlands
| | - Coen D A Stehouwer
- Department of Internal Medicine and School for Cardiovascular Diseases (CARIM), Maastricht University Medical Center, Universiteitssingel 50, 6229 ER, Maastricht, The Netherlands
| | - Casper G Schalkwijk
- Department of Internal Medicine and School for Cardiovascular Diseases (CARIM), Maastricht University Medical Center, Universiteitssingel 50, 6229 ER, Maastricht, The Netherlands
| | - Carla J H van der Kallen
- Department of Internal Medicine and School for Cardiovascular Diseases (CARIM), Maastricht University Medical Center, Universiteitssingel 50, 6229 ER, Maastricht, The Netherlands
| | - Albert Hofman
- Department of Epidemiology, Erasmus University Medical Center, Dr. Molewaterplein 50, 3015 GE, Rotterdam, The Netherlands
| | - Diana van Heemst
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Eco J de Geus
- Department of Biological Psychology, VU University Amsterdam, Neuroscience Campus Amsterdam, Van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
| | - Jenny van Dongen
- Department of Biological Psychology, VU University Amsterdam, Neuroscience Campus Amsterdam, Van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
| | - Joris Deelen
- Molecular Epidemiology section, Leiden University Medical Center, Einthovenweg 20, 2333 ZC, Leiden, The Netherlands
| | - Leonard H van den Berg
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Joyce van Meurs
- Department of Internal Medicine, Erasmus University Medical Center, Wytemaweg 80, 3015 CN, Rotterdam, The Netherlands
| | - Rick Jansen
- Department of Psychiatry, VU University Medical Center, Neuroscience Campus Amsterdam, A.J. Ernststraat 1187, 1081 HL, Amsterdam, The Netherlands
| | - Peter A C 't Hoen
- Department of Human Genetics, Leiden University Medical Center, Einthovenweg 20, 2333 ZC, Leiden, The Netherlands
| | - Lude Franke
- Department of Genetics, University Medical Centre Groningen, Antonius Deusinglaan 1, 9713 AV, Groningen, The Netherlands
| | - Cisca Wijmenga
- Department of Genetics, University Medical Centre Groningen, Antonius Deusinglaan 1, 9713 AV, Groningen, The Netherlands
| | - Jan H Veldink
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Morris A Swertz
- Genomics Coordination Center, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
| | - Marleen M J van Greevenbroek
- Department of Internal Medicine and School for Cardiovascular Diseases (CARIM), Maastricht University Medical Center, Universiteitssingel 50, 6229 ER, Maastricht, The Netherlands
| | - Cornelia M van Duijn
- Department of Genetic Epidemiology, Erasmus University Medical Center, Dr. Molewaterplein 50, 3015 GE, Rotterdam, The Netherlands
| | - Dorret I Boomsma
- Department of Biological Psychology, VU University Amsterdam, Neuroscience Campus Amsterdam, Van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
| | | | - P Eline Slagboom
- Molecular Epidemiology section, Leiden University Medical Center, Einthovenweg 20, 2333 ZC, Leiden, The Netherlands
| | - Bastiaan T Heijmans
- Molecular Epidemiology section, Leiden University Medical Center, Einthovenweg 20, 2333 ZC, Leiden, The Netherlands.
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Deelen J, van den Akker EB, Trompet S, van Heemst D, Mooijaart SP, Slagboom PE, Beekman M. Employing biomarkers of healthy ageing for leveraging genetic studies into human longevity. Exp Gerontol 2016; 82:166-74. [PMID: 27374409 DOI: 10.1016/j.exger.2016.06.013] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2016] [Revised: 05/27/2016] [Accepted: 06/27/2016] [Indexed: 01/03/2023]
Abstract
Genetic studies have thus far identified a limited number of loci associated with human longevity by applying age at death or survival up to advanced ages as phenotype. As an alternative approach, one could first try to identify biomarkers of healthy ageing and the genetic variants associated with these traits and subsequently determine the association of these variants with human longevity. In the present study, we used this approach by testing whether the 35 baseline serum parameters measured in the Leiden Longevity Study (LLS) meet the proposed criteria for a biomarker of healthy ageing. The LLS consists of 421 families with long-lived siblings of European descent, who were recruited together with their offspring and the spouses of the offspring (controls). To test the four criteria for a biomarker of healthy ageing in the LLS, we determined the association of the serum parameters with chronological age, familial longevity, general practitioner-reported general health, and mortality. Out of the 35 serum parameters, we identified glucose, insulin, and triglycerides as biomarkers of healthy ageing, meeting all four criteria in the LLS. We subsequently showed that the genetic variants previously associated with these parameters are significantly enriched in the largest genome-wide association study for human longevity. In conclusion, we showed that biomarkers of healthy ageing can be used to leverage genetic studies into human longevity. We identified several genetic variants influencing the variation in glucose, insulin and triglycerides that contribute to human longevity.
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Affiliation(s)
- Joris Deelen
- Department of Molecular Epidemiology, Leiden University Medical Center, P.O. Box 9600, 2300 RC Leiden, The Netherlands; Max Planck Institute for Biology of Ageing, P.O. Box 41 06 23, 50866 Cologne, Germany.
| | - Erik B van den Akker
- Department of Molecular Epidemiology, Leiden University Medical Center, P.O. Box 9600, 2300 RC Leiden, The Netherlands; Delft Bioinformatics Lab, Delft University of Technology, P.O. Box 5031, 2600 GA Delft, The Netherlands.
| | - Stella Trompet
- Department of Gerontology and Geriatrics, Leiden University Medical Center, P.O. Box 9600, 2300 RC Leiden, The Netherlands; Department of Cardiology, 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.
| | - Simon P Mooijaart
- Department of Gerontology and Geriatrics, Leiden University Medical Center, P.O. Box 9600, 2300 RC Leiden, The Netherlands.
| | - P Eline Slagboom
- Department of Molecular Epidemiology, Leiden University Medical Center, P.O. Box 9600, 2300 RC Leiden, The Netherlands.
| | - Marian Beekman
- Department of Molecular Epidemiology, Leiden University Medical Center, P.O. Box 9600, 2300 RC Leiden, The Netherlands.
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Puzianowska-Kuźnicka M, Owczarz M, Wieczorowska-Tobis K, Nadrowski P, Chudek J, Slusarczyk P, Skalska A, Jonas M, Franek E, Mossakowska M. Interleukin-6 and C-reactive protein, successful aging, and mortality: the PolSenior study. IMMUNITY & AGEING 2016; 13:21. [PMID: 27274758 PMCID: PMC4891873 DOI: 10.1186/s12979-016-0076-x] [Citation(s) in RCA: 255] [Impact Index Per Article: 31.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/12/2016] [Accepted: 05/25/2016] [Indexed: 12/14/2022]
Abstract
BACKGROUND In the elderly, chronic low-grade inflammation (inflammaging) is a risk factor for the development of aging-related diseases and frailty. Using data from several thousand Eastern Europeans aged 65 years and older, we investigated whether the serum levels of two proinflammatory factors, interleukin-6 (IL-6) and C-reactive protein (CRP), were associated with physical and cognitive performance, and could predict mortality in successfully aging elderly. RESULTS IL-6 and CRP levels systematically increased in an age-dependent manner in the entire study group (IL-6: n = 3496 individuals, p < 0.001 and CRP: n = 3632, p = 0.003), and in the subgroup of successfully aging individuals who had never been diagnosed with cardiovascular disease, myocardial infarction, stroke, type 2 diabetes, or cancer, and had a Mini Mental State Examination (MMSE) score ≥24 and a Katz Activities of Daily Living (ADL) score ≥5 (IL-6: n = 1258, p < 0.001 and CRP: n = 1312, p < 0.001). In the subgroup of individuals suffering from aging-related diseases/disability, only IL-6 increased with age (IL-6: n = 2238, p < 0.001 and CRP: n = 2320, p = 0.249). IL-6 and CRP levels were lower in successfully aging individuals than in the remaining study participants (both p < 0.001). Higher IL-6 and CRP levels were associated with poorer physical performance (lower ADL score) and poorer cognitive performance (lower MMSE score) (both p < 0.001). This association remained significant after adjusting for age, gender, BMI, lipids, estimated glomerular filtration rate, and smoking status. Longer survival was associated with lower concentrations of IL-6 and CRP not only in individuals with aging-related diseases/disability (HR = 1.063 per each pg/mL, 95 % CI: 1.052-1.074, p < 0.001 and HR = 1.020 per each mg/L, 95 % CI: 1.015-1.025, p < 0.001, respectively) but also in the successfully aging subgroup (HR = 1.163 per each pg/mL, 95 % CI: 1.128-1.199, p < 0.001 and HR = 1.074 per each mg/L, 95 % CI: 1.047-1.100, p < 0.001, respectively). These associations remained significant after adjusting for age, gender, BMI, lipids and smoking status. The Kaplan-Meier survival curves showed similar results (all p < 0.001). CONCLUSIONS Both IL-6 and CRP levels were good predictors of physical and cognitive performance and the risk of mortality in both the entire elderly population and in successfully aging individuals.
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Affiliation(s)
- Monika Puzianowska-Kuźnicka
- Department of Human Epigenetics, Mossakowski Medical Research Centre PAS, 5 Pawinskiego Street, 02-106 Warsaw, Poland ; Department of Geriatrics and Gerontology, Medical Centre of Postgraduate Education, 01-826 Warsaw, Poland
| | - Magdalena Owczarz
- Department of Human Epigenetics, Mossakowski Medical Research Centre PAS, 5 Pawinskiego Street, 02-106 Warsaw, Poland ; PolSenior Project, International Institute of Molecular and Cell Biology, 02-109 Warsaw, Poland
| | | | - Pawel Nadrowski
- Third Department of Cardiology, Medical University of Silesia in Katowice, 40-635 Katowice, Poland
| | - Jerzy Chudek
- Department of Pathophysiology, Faculty of Medicine, Medical University of Silesia in Katowice, 40-752 Katowice, Poland ; Deparment of Internal Medicine and Oncological Chemotherapy, Faculty of Medicine, Medical University of Silesia in Katowice, 40-027 Katowice, Poland
| | - Przemyslaw Slusarczyk
- PolSenior Project, International Institute of Molecular and Cell Biology, 02-109 Warsaw, Poland
| | - Anna Skalska
- Department of Internal Medicine and Geriatrics, Jagiellonian University Medical College, 31-351 Cracow, Poland
| | - Marta Jonas
- Department of Human Epigenetics, Mossakowski Medical Research Centre PAS, 5 Pawinskiego Street, 02-106 Warsaw, Poland
| | - Edward Franek
- Department of Human Epigenetics, Mossakowski Medical Research Centre PAS, 5 Pawinskiego Street, 02-106 Warsaw, Poland
| | - Malgorzata Mossakowska
- PolSenior Project, International Institute of Molecular and Cell Biology, 02-109 Warsaw, Poland
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Flachsbart F, Ellinghaus D, Gentschew L, Heinsen F, Caliebe A, Christiansen L, Nygaard M, Christensen K, Blanché H, Deleuze J, Derbois C, Galan P, Büning C, Brand S, Peters A, Strauch K, Müller‐Nurasyid M, Hoffmann P, Nöthen MM, Lieb W, Franke A, Schreiber S, Nebel A. Immunochip analysis identifies association of the RAD50/IL13 region with human longevity. Aging Cell 2016; 15:585-8. [PMID: 27004735 PMCID: PMC4854908 DOI: 10.1111/acel.12471] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/22/2016] [Indexed: 01/10/2023] Open
Abstract
Human longevity is characterized by a remarkable lack of confirmed genetic associations. Here, we report on the identification of a novel locus for longevity in the RAD50/IL13 region on chromosome 5q31.1 using a combined European sample of 3208 long-lived individuals (LLI) and 8919 younger controls. First, we performed a large-scale association study on 1458 German LLI (mean age 99.0 years) and 6368 controls (mean age 57.2 years) by targeting known immune-associated loci covered by the Immunochip. The analysis of 142 136 autosomal single nucleotide polymorphisms (SNPs) revealed an Immunochip-wide significant signal (PI mmunochip = 7.01 × 10(-9) ) for the SNP rs2075650 in the TOMM40/APOE region, which has been previously described in the context of human longevity. To identify novel susceptibility loci, we selected 15 markers with PI mmunochip < 5 × 10(-4) for replication in two samples from France (1257 LLI, mean age 102.4 years; 1811 controls, mean age 49.1 years) and Denmark (493 LLI, mean age 96.2 years; 740 controls, mean age 63.1 years). The association at SNP rs2706372 replicated in the French study collection and showed a similar trend in the Danish participants and was also significant in a meta-analysis of the combined French and Danish data after adjusting for multiple testing. In a meta-analysis of all three samples, rs2706372 reached a P-value of PI mmunochip+Repl = 5.42 × 10(-7) (OR = 1.20; 95% CI = 1.12-1.28). SNP rs2706372 is located in the extended RAD50/IL13 region. RAD50 seems a plausible longevity candidate due to its involvement in DNA repair and inflammation. Further studies are needed to identify the functional variant(s) that predispose(s) to a long and healthy life.
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Affiliation(s)
| | - David Ellinghaus
- Institute of Clinical Molecular BiologyKiel UniversityKielGermany
| | | | | | - Amke Caliebe
- Institute of Medical Informatics and StatisticsKiel UniversityKielGermany
| | - Lene Christiansen
- Epidemiology, Biostatistics and BiodemographyDepartment of Public HealthUniversity of SouthernDenmarkOdenseDenmark
| | - Marianne Nygaard
- Epidemiology, Biostatistics and BiodemographyDepartment of Public HealthUniversity of SouthernDenmarkOdenseDenmark
- Department of Clinical GeneticsOdense University HospitalOdenseDenmark
| | - Kaare Christensen
- Epidemiology, Biostatistics and BiodemographyDepartment of Public HealthUniversity of SouthernDenmarkOdenseDenmark
- Department of Clinical GeneticsOdense University HospitalOdenseDenmark
- Department of Clinical Biochemistry and PharmacologyOdense University HospitalOdenseDenmark
| | - Hélène Blanché
- Fondation Jean Dausset‐Centre du Polymorphisme Humain (CEPH)ParisFrance
| | - Jean‐François Deleuze
- Fondation Jean Dausset‐Centre du Polymorphisme Humain (CEPH)ParisFrance
- Centre National de Génotypage CNG‐IG‐CEAEvryFrance
| | | | - Pilar Galan
- Université Sorbonne Paris Cité‐URENUnité de Recherche en Epidémiologie Nutritionnelle; U557 Inserm; U1125 Inra; Cnam; Université Paris 13CRNH IdFBobignyFrance
| | - Carsten Büning
- Department of Gastroenterology, Hepatology and EndocrinologyCharitéCampus MitteBerlinGermany
| | - Stephan Brand
- Department of Medicine II – GrosshadernLudwig‐Maximilians‐University MunichMunichGermany
| | - Anette Peters
- Institute of Epidemiology IIHelmholtz Zentrum München – German Research Center for Environmental HealthNeuherbergGermany
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart AllianceMunichGermany
- German Center for Diabetes ResearchNeuherbergGermany
| | - Konstantin Strauch
- Institute of Genetic EpidemiologyHelmholtz Zentrum München – German Research Center for Environmental HealthNeuherbergGermany
- Institute of Medical Informatics, Biometry and EpidemiologyChair of Genetic EpidemiologyLudwig‐Maximilians‐University MunichMunichGermany
| | - Martina Müller‐Nurasyid
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart AllianceMunichGermany
- Institute of Genetic EpidemiologyHelmholtz Zentrum München – German Research Center for Environmental HealthNeuherbergGermany
- Department of Medicine ILudwig‐Maximilians‐University MunichMunichGermany
| | - Per Hoffmann
- Institute of Human GeneticsUniversity of BonnBonnGermany
- Department of Genomics, Life and Brain CenterUniversity of BonnBonnGermany
- Division of Medical GeneticsUniversity Hospital Basel and Department of BiomedicineUniversity of BaselBaselSwitzerland
| | - Markus M. Nöthen
- Institute of Human GeneticsUniversity of BonnBonnGermany
- Department of Genomics, Life and Brain CenterUniversity of BonnBonnGermany
| | - Wolfgang Lieb
- Institute of Epidemiology and Popgen BiobankKiel UniversityKielGermany
| | - Andre Franke
- Institute of Clinical Molecular BiologyKiel UniversityKielGermany
| | - Stefan Schreiber
- Institute of Clinical Molecular BiologyKiel UniversityKielGermany
- Clinic for Internal Medicine IUniversity Hospital of Schleswig‐HolsteinKielGermany
| | - Almut Nebel
- Institute of Clinical Molecular BiologyKiel UniversityKielGermany
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40
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Zhu Z, Lu Q, Zeng F, Wang J, Huang S. Compatibility between mitochondrial and nuclear genomes correlates with the quantitative trait of lifespan in Caenorhabditis elegans. Sci Rep 2015; 5:17303. [PMID: 26601686 PMCID: PMC4658563 DOI: 10.1038/srep17303] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2015] [Accepted: 10/28/2015] [Indexed: 12/12/2022] Open
Abstract
Mutations in mitochondrial genome have epistatic effects on organisms depending on
the nuclear background, but a role for the compatibility of mitochondrial-nuclear
genomes (mit-n) in the quantitative nature of a complex trait remains unexplored. We
studied a panel of recombinant inbred advanced intercrossed lines (RIAILs) of C.
elegans that were established from a cross between the N2 and HW strains. We
determined the HW nuclear genome content and the mitochondrial type (HW or N2) of
each RIAIL strain. We found that the degree of mit-n compatibility was correlated
with the lifespans but not the foraging behaviors of RIAILs. Several known
aging-associated QTLs individually showed no relationship with mitotypes but
collectively a weak trend consistent with a role in mit-n compatibility. By
association mapping, we identified 293 SNPs that showed linkage with lifespan and a
relationship with mitotypes consistent with a role in mit-n compatibility. We
further found an association between mit-n compatibility and several functional
characteristics of mitochondria as well as the expressions of genes involved in the
respiratory oxidation pathway. The results provide the first evidence implicating
mit-n compatibility in the quantitative nature of a complex trait, and may be
informative to certain evolutionary puzzles on hybrids.
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Affiliation(s)
- Zuobin Zhu
- State Key Laboratory of Medical Genetics, School of Life Sciences, Xiangya Medical School, Central South University, 110 Xiangya Road, Changsha, Hunan, 410078, China
| | - Qing Lu
- State Key Laboratory of Medical Genetics, School of Life Sciences, Xiangya Medical School, Central South University, 110 Xiangya Road, Changsha, Hunan, 410078, China
| | - Fangfang Zeng
- State Key Laboratory of Medical Genetics, School of Life Sciences, Xiangya Medical School, Central South University, 110 Xiangya Road, Changsha, Hunan, 410078, China
| | - Junjing Wang
- State Key Laboratory of Medical Genetics, School of Life Sciences, Xiangya Medical School, Central South University, 110 Xiangya Road, Changsha, Hunan, 410078, China
| | - Shi Huang
- State Key Laboratory of Medical Genetics, School of Life Sciences, Xiangya Medical School, Central South University, 110 Xiangya Road, Changsha, Hunan, 410078, China
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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.
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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
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Carnes MU, Campbell T, Huang W, Butler DG, Carbone MA, Duncan LH, Harbajan SV, King EM, Peterson KR, Weitzel A, Zhou S, Mackay TFC. The Genomic Basis of Postponed Senescence in Drosophila melanogaster. PLoS One 2015; 10:e0138569. [PMID: 26378456 PMCID: PMC4574564 DOI: 10.1371/journal.pone.0138569] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2015] [Accepted: 09/01/2015] [Indexed: 12/30/2022] Open
Abstract
Natural populations harbor considerable genetic variation for lifespan. While evolutionary theory provides general explanations for the existence of this variation, our knowledge of the genes harboring naturally occurring polymorphisms affecting lifespan is limited. Here, we assessed the genetic divergence between five Drosophila melanogaster lines selected for postponed senescence for over 170 generations (O lines) and five lines from the same base population maintained at a two week generation interval for over 850 generations (B lines). On average, O lines live 70% longer than B lines, are more productive at all ages, and have delayed senescence for other traits than reproduction. We performed population sequencing of pools of individuals from all B and O lines and identified 6,394 genetically divergent variants in or near 1,928 genes at a false discovery rate of 0.068. A 2.6 Mb region at the tip of the X chromosome contained many variants fixed for alternative alleles in the two populations, suggestive of a hard selective sweep. We also assessed genome wide gene expression of O and B lines at one and five weeks of age using RNA sequencing and identified genes with significant (false discovery rate < 0.05) effects on gene expression with age, population and the age by population interaction, separately for each sex. We identified transcripts that exhibited the transcriptional signature of postponed senescence and integrated the gene expression and genetic divergence data to identify 98 (175) top candidate genes in females (males) affecting postponed senescence and increased lifespan. While several of these genes have been previously associated with Drosophila lifespan, most are novel and constitute a rich resource for future functional validation.
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Affiliation(s)
- Megan Ulmer Carnes
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, 27695, United States of America
| | - Terry Campbell
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, 27695, United States of America
| | - Wen Huang
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, 27695, United States of America; Program in Genetics, North Carolina State University, Raleigh, North Carolina, 27695, United States of America
| | - Daniel G Butler
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, 27695, United States of America
| | - Mary Anna Carbone
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, 27695, United States of America; Program in Genetics, North Carolina State University, Raleigh, North Carolina, 27695, United States of America; W. M. Keck Center for Behavioral Biology, North Carolina State University, Raleigh, North Carolina, 27695, United States of America
| | - Laura H Duncan
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, 27695, United States of America
| | - Sasha V Harbajan
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, 27695, United States of America
| | - Edward M King
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, 27695, United States of America
| | - Kara R Peterson
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, 27695, United States of America
| | - Alexander Weitzel
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, 27695, United States of America
| | - Shanshan Zhou
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, 27695, United States of America; Program in Genetics, North Carolina State University, Raleigh, North Carolina, 27695, United States of America; W. M. Keck Center for Behavioral Biology, North Carolina State University, Raleigh, North Carolina, 27695, United States of America
| | - Trudy F C Mackay
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, 27695, United States of America; Program in Genetics, North Carolina State University, Raleigh, North Carolina, 27695, United States of America; W. M. Keck Center for Behavioral Biology, North Carolina State University, Raleigh, North Carolina, 27695, United States of America
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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.
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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
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Giampieri E, Remondini D, Bacalini MG, Garagnani P, Pirazzini C, Yani SL, Giuliani C, Menichetti G, Zironi I, Sala C, Capri M, Franceschi C, Bürkle A, Castellani G. Statistical strategies and stochastic predictive models for the MARK-AGE data. Mech Ageing Dev 2015. [PMID: 26209580 DOI: 10.1016/j.mad.2015.07.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
MARK-AGE aims at the identification of biomarkers of human aging capable of discriminating between the chronological age and the effective functional status of the organism. To achieve this, given the structure of the collected data, a proper statistical analysis has to be performed, as the structure of the data are non trivial and the number of features under study is near to the number of subjects used, requiring special care to avoid overfitting. Here we described some of the possible strategies suitable for this analysis. We also include a description of the main techniques used, to explain and justify the selected strategies. Among other possibilities, we suggest to model and analyze the data with a three step strategy.
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Affiliation(s)
- Enrico Giampieri
- Interdepartmental Center Galvani "CIG", Via Selmi, 3 University of Bologna, Bologna, Italy; Physics and Astronomy Department, Viale Berti Pichat 6/2, University of Bologna, Bologna, Italy.
| | - Daniel Remondini
- Interdepartmental Center Galvani "CIG", Via Selmi, 3 University of Bologna, Bologna, Italy; Physics and Astronomy Department, Viale Berti Pichat 6/2, University of Bologna, Bologna, Italy
| | - Maria Giulia Bacalini
- Department of Experimental, Diagnostic and Specialty Medicine, Via S. Giacomo, 12 University of Bologna, Bologna, Italy; Interdepartmental Center Galvani "CIG", Via Selmi, 3 University of Bologna, Bologna, Italy
| | - Paolo Garagnani
- Department of Experimental, Diagnostic and Specialty Medicine, Via S. Giacomo, 12 University of Bologna, Bologna, Italy; Interdepartmental Center Galvani "CIG", Via Selmi, 3 University of Bologna, Bologna, Italy
| | - Chiara Pirazzini
- Department of Experimental, Diagnostic and Specialty Medicine, Via S. Giacomo, 12 University of Bologna, Bologna, Italy; Interdepartmental Center Galvani "CIG", Via Selmi, 3 University of Bologna, Bologna, Italy
| | - Stella Lukas Yani
- Department of Experimental, Diagnostic and Specialty Medicine, Via S. Giacomo, 12 University of Bologna, Bologna, Italy; Interdepartmental Center Galvani "CIG", Via Selmi, 3 University of Bologna, Bologna, Italy; Institute for Biomedical Aging Research, University of Innsbruck, Austria
| | - Cristina Giuliani
- Department of Experimental, Diagnostic and Specialty Medicine, Via S. Giacomo, 12 University of Bologna, Bologna, Italy; Interdepartmental Center Galvani "CIG", Via Selmi, 3 University of Bologna, Bologna, Italy
| | - Giulia Menichetti
- Interdepartmental Center Galvani "CIG", Via Selmi, 3 University of Bologna, Bologna, Italy; Physics and Astronomy Department, Viale Berti Pichat 6/2, University of Bologna, Bologna, Italy
| | - Isabella Zironi
- Interdepartmental Center Galvani "CIG", Via Selmi, 3 University of Bologna, Bologna, Italy; Physics and Astronomy Department, Viale Berti Pichat 6/2, University of Bologna, Bologna, Italy
| | - Claudia Sala
- Interdepartmental Center Galvani "CIG", Via Selmi, 3 University of Bologna, Bologna, Italy; Physics and Astronomy Department, Viale Berti Pichat 6/2, University of Bologna, Bologna, Italy
| | - Miriam Capri
- Department of Experimental, Diagnostic and Specialty Medicine, Via S. Giacomo, 12 University of Bologna, Bologna, Italy; Interdepartmental Center Galvani "CIG", Via Selmi, 3 University of Bologna, Bologna, Italy
| | - Claudio Franceschi
- Department of Experimental, Diagnostic and Specialty Medicine, Via S. Giacomo, 12 University of Bologna, Bologna, Italy; Interdepartmental Center Galvani "CIG", Via Selmi, 3 University of Bologna, Bologna, Italy
| | - Alexander Bürkle
- Molecular Toxicology Group, Department of Biology, University of Konstanz, 78457 Konstanz, Germany
| | - Gastone Castellani
- Interdepartmental Center Galvani "CIG", Via Selmi, 3 University of Bologna, Bologna, Italy; Physics and Astronomy Department, Viale Berti Pichat 6/2, University of Bologna, Bologna, Italy
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Kamei Y, Tai A, Dakeyama S, Yamamoto K, Inoue Y, Kishimoto Y, Ohara H, Mukai Y. Transcription factor genes essential for cell proliferation and replicative lifespan in budding yeast. Biochem Biophys Res Commun 2015; 463:351-6. [PMID: 26022127 DOI: 10.1016/j.bbrc.2015.05.067] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2015] [Accepted: 05/17/2015] [Indexed: 11/18/2022]
Abstract
Many of the lifespan-related genes have been identified in eukaryotes ranging from the yeast to human. However, there is limited information available on the longevity genes that are essential for cell proliferation. Here, we investigated whether the essential genes encoding DNA-binding transcription factors modulated the replicative lifespan of Saccharomyces cerevisiae. Heterozygous diploid knockout strains for FHL1, RAP1, REB1, and MCM1 genes showed significantly short lifespan. (1)H-nuclear magnetic resonance analysis indicated a characteristic metabolic profile in the Δfhl1/FHL1 mutant. These results strongly suggest that FHL1 regulates the transcription of lifespan related metabolic genes. Thus, heterozygous knockout strains could be the potential materials for discovering further novel lifespan genes.
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Affiliation(s)
- Yuka Kamei
- Department of Bioscience, Faculty of Bioscience, Nagahama Institute of Bio-Science and Technology, 1266 Tamura-cho, Nagahama, Shiga 526-0829, Japan
| | - Akiko Tai
- Department of Bioscience, Faculty of Bioscience, Nagahama Institute of Bio-Science and Technology, 1266 Tamura-cho, Nagahama, Shiga 526-0829, Japan
| | - Shota Dakeyama
- Department of Bioscience, Faculty of Bioscience, Nagahama Institute of Bio-Science and Technology, 1266 Tamura-cho, Nagahama, Shiga 526-0829, Japan
| | - Kaori Yamamoto
- Department of Bioscience, Faculty of Bioscience, Nagahama Institute of Bio-Science and Technology, 1266 Tamura-cho, Nagahama, Shiga 526-0829, Japan
| | - Yamato Inoue
- Department of Bioscience, Faculty of Bioscience, Nagahama Institute of Bio-Science and Technology, 1266 Tamura-cho, Nagahama, Shiga 526-0829, Japan
| | - Yoshifumi Kishimoto
- Department of Bioscience, Faculty of Bioscience, Nagahama Institute of Bio-Science and Technology, 1266 Tamura-cho, Nagahama, Shiga 526-0829, Japan
| | - Hiroya Ohara
- Department of Bioscience, Faculty of Bioscience, Nagahama Institute of Bio-Science and Technology, 1266 Tamura-cho, Nagahama, Shiga 526-0829, Japan
| | - Yukio Mukai
- Department of Bioscience, Faculty of Bioscience, Nagahama Institute of Bio-Science and Technology, 1266 Tamura-cho, Nagahama, Shiga 526-0829, Japan.
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Yashin AI, Wu D, Arbeeva LS, Arbeev KG, Kulminski AM, Akushevich I, Kovtun M, Culminskaya I, Stallard E, Li M, Ukraintseva SV. Genetics of aging, health, and survival: dynamic regulation of human longevity related traits. Front Genet 2015; 6:122. [PMID: 25918517 PMCID: PMC4394697 DOI: 10.3389/fgene.2015.00122] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2014] [Accepted: 03/16/2015] [Indexed: 11/13/2022] Open
Abstract
Background: The roles of genetic factors in human longevity would be better understood if one can use more efficient methods in genetic analyses and investigate pleiotropic effects of genetic variants on aging and health related traits. Data and methods: We used EMMAX software with modified correction for population stratification to perform genome wide association studies (GWAS) of female lifespan from the original FHS cohort. The male data from the original FHS cohort and male and female data combined from the offspring FHS cohort were used to confirm findings. We evaluated pleiotropic effects of selected genetic variants as well as gene-smoking interactions on health and aging related traits. Then we reviewed current knowledge on functional properties of genes related to detected variants. Results: The eight SNPs with genome-wide significant variants were negatively associated with lifespan in both males and females. After additional QC, two of these variants were selected for further analyses of their associations with major diseases (cancer and CHD) and physiological aging changes. Gene-smoking interactions contributed to these effects. Genes closest to detected variants appear to be involved in similar biological processes and health disorders, as those found in other studies of aging and longevity e.g., in cancer and neurodegeneration. Conclusions: The impact of genes on longevity may involve trade-off-like effects on different health traits. Genes that influence lifespan represent various molecular functions but may be involved in similar biological processes and health disorders, which could contribute to genetic heterogeneity of longevity and the lack of replication in genetic association studies.
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Affiliation(s)
- Anatoliy I Yashin
- Biodemography of Aging Research Unit, Center for Population Health and Aging, Social Science Research Institute, Duke University Durham, NC, USA
| | - Deqing Wu
- Biodemography of Aging Research Unit, Center for Population Health and Aging, Social Science Research Institute, Duke University Durham, NC, USA
| | - Liubov S Arbeeva
- Biodemography of Aging Research Unit, Center for Population Health and Aging, Social Science Research Institute, Duke University Durham, NC, USA
| | - Konstantin G Arbeev
- Biodemography of Aging Research Unit, Center for Population Health and Aging, Social Science Research Institute, Duke University Durham, NC, USA
| | - Alexander M Kulminski
- Biodemography of Aging Research Unit, Center for Population Health and Aging, Social Science Research Institute, Duke University Durham, NC, USA
| | - Igor Akushevich
- Biodemography of Aging Research Unit, Center for Population Health and Aging, Social Science Research Institute, Duke University Durham, NC, USA
| | - Mikhail Kovtun
- Biodemography of Aging Research Unit, Center for Population Health and Aging, Social Science Research Institute, Duke University Durham, NC, USA ; Integrative Genomic Analysis Shared Resource, Duke Center for Genomic and Computational Biology, Duke University Durham, NC, USA
| | - Irina Culminskaya
- Biodemography of Aging Research Unit, Center for Population Health and Aging, Social Science Research Institute, Duke University Durham, NC, USA
| | - Eric Stallard
- Biodemography of Aging Research Unit, Center for Population Health and Aging, Social Science Research Institute, Duke University Durham, NC, USA
| | - Miaozhu Li
- Biodemography of Aging Research Unit, Center for Population Health and Aging, Social Science Research Institute, Duke University Durham, NC, USA
| | - Svetlana V Ukraintseva
- Biodemography of Aging Research Unit, Center for Population Health and Aging, Social Science Research Institute, Duke University Durham, NC, USA
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MARK-AGE population: From the human model to new insights. Mech Ageing Dev 2015; 151:13-7. [PMID: 25843237 DOI: 10.1016/j.mad.2015.03.010] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2014] [Revised: 03/16/2015] [Accepted: 03/27/2015] [Indexed: 12/29/2022]
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Abstract
Mammalian aging can be delayed with genetic, dietary, and pharmacologic approaches. Given that the elderly population is dramatically increasing and that aging is the greatest risk factor for a majority of chronic diseases driving both morbidity and mortality, it is critical to expand geroscience research directed at extending human healthspan.
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Chan JPL, Thalamuthu A, Oldmeadow C, Armstrong NJ, Holliday EG, McEvoy M, Kwok JB, Assareh AA, Peel R, Hancock SJ, Reppermund S, Menant J, Trollor JN, Brodaty H, Schofield PR, Attia JR, Sachdev PS, Scott RJ, Mather KA. Genetics of hand grip strength in mid to late life. AGE (DORDRECHT, NETHERLANDS) 2015; 37:9745. [PMID: 25637336 PMCID: PMC4312310 DOI: 10.1007/s11357-015-9745-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2014] [Accepted: 01/12/2015] [Indexed: 06/04/2023]
Abstract
Hand grip strength (GS) is a predictor of mortality in older adults and is moderately to highly heritable, but no genetic variants have been consistently identified. We aimed to identify single nucleotide polymorphisms (SNPs) associated with GS in middle-aged to older adults using a genome-wide association study (GWAS). GS was measured using handheld dynamometry in community-dwelling men and women aged 55-85 from the Hunter Community Study (HCS, N = 2088) and the Sydney Memory and Ageing Study (Sydney MAS, N = 541). Genotyping was undertaken using Affymetrix microarrays with imputation to HapMap2. Analyses were performed using linear regression. No genome-wide significant results were observed in HCS nor were any of the top signals replicated in Sydney MAS. Gene-based analyses in HCS identified two significant genes (ZNF295, C2CD2), but these results were not replicated in Sydney MAS. One out of eight SNPs previously associated with GS, rs550942, located near the CNTF gene, was significantly associated with GS (p = 0.005) in the HCS cohort only. Study differences may explain the lack of consistent results between the studies, including the smaller sample size of the Sydney MAS cohort. Our modest sample size also had limited power to identify variants of small effect. Our results suggest that similar to various other complex traits, many genetic variants of small effect size may influence GS. Future GWAS using larger samples and consistent measures may prove more fruitful at identifying genetic contributors for GS in middle-aged to older adults.
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Affiliation(s)
- Jessica P. L. Chan
- />Centre for Healthy Brain Ageing, Psychiatry, University of New South Wales (UNSW), NPI, Euroa Centre, Barker St, Randwick, Sydney, NSW 2031 Australia
| | - Anbupalam Thalamuthu
- />Centre for Healthy Brain Ageing, Psychiatry, University of New South Wales (UNSW), NPI, Euroa Centre, Barker St, Randwick, Sydney, NSW 2031 Australia
| | | | - Nicola J. Armstrong
- />Centre for Healthy Brain Ageing, Psychiatry, University of New South Wales (UNSW), NPI, Euroa Centre, Barker St, Randwick, Sydney, NSW 2031 Australia
- />School of Mathematics and Statistics, University of Sydney, Sydney, Australia
| | - Elizabeth G. Holliday
- />Public Health Program, Hunter Medical Research Institute, Newcastle, Australia
- />Centre for Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales Australia
| | - Mark McEvoy
- />Public Health Program, Hunter Medical Research Institute, Newcastle, Australia
- />Centre for Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales Australia
| | - John B. Kwok
- />Neuroscience Research Australia, Sydney, Australia
- />School of Medical Sciences, UNSW, Sydney, Australia
| | - Amelia A. Assareh
- />Centre for Healthy Brain Ageing, Psychiatry, University of New South Wales (UNSW), NPI, Euroa Centre, Barker St, Randwick, Sydney, NSW 2031 Australia
| | - Rosanne Peel
- />Centre for Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales Australia
| | - Stephen J. Hancock
- />Centre for Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales Australia
| | - Simone Reppermund
- />Centre for Healthy Brain Ageing, Psychiatry, University of New South Wales (UNSW), NPI, Euroa Centre, Barker St, Randwick, Sydney, NSW 2031 Australia
| | | | - Julian N. Trollor
- />Department of Developmental Disability Neuropsychiatry, UNSW, Sydney, Australia
| | - Henry Brodaty
- />Centre for Healthy Brain Ageing, Psychiatry, University of New South Wales (UNSW), NPI, Euroa Centre, Barker St, Randwick, Sydney, NSW 2031 Australia
- />Primary Dementia Collaborative Research Centre, UNSW, Sydney, Australia
| | - Peter R. Schofield
- />Neuroscience Research Australia, Sydney, Australia
- />School of Medical Sciences, UNSW, Sydney, Australia
| | - John R. Attia
- />Public Health Program, Hunter Medical Research Institute, Newcastle, Australia
- />Centre for Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales Australia
| | - Perminder S. Sachdev
- />Centre for Healthy Brain Ageing, Psychiatry, University of New South Wales (UNSW), NPI, Euroa Centre, Barker St, Randwick, Sydney, NSW 2031 Australia
- />Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, Australia
| | - Rodney J. Scott
- />School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, New South Wales Australia
- />Division of Molecular Medicine, Pathology North, Newcastle, Australia
- />Information Based Medicine, Hunter Medical Research Institute, Newcastle, Australia
| | - Karen A. Mather
- />Centre for Healthy Brain Ageing, Psychiatry, University of New South Wales (UNSW), NPI, Euroa Centre, Barker St, Randwick, Sydney, NSW 2031 Australia
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50
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Nickles D, Madireddy L, Patel N, Isobe N, Miller BL, Baranzini SE, Kramer JH, Oksenberg JR. Whole genome sequences of 2 octogenarians with sustained cognitive abilities. Neurobiol Aging 2014; 36:1435-8. [PMID: 25618617 DOI: 10.1016/j.neurobiolaging.2014.11.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2014] [Revised: 11/05/2014] [Accepted: 11/05/2014] [Indexed: 12/01/2022]
Abstract
Although numerous genetic variants affecting aging and mortality have been identified, for example, apolipoprotein E ε4, the genetic component influencing cognitive aging has not been fully defined yet. A better knowledge of the genetics of aging will prove helpful in understanding the underlying biological processes. Here, we describe the whole genome sequences of 2 female octogenarians. We provide the repertoire of genomic variants that the 2 octogenarians have in common. We also describe the overlap with the previously reported genomes of 2 supercentenarians—individuals aged ≥110 years. We assessed the genetic disease propensities of the octogenarians and non-aged control genomes and could not find support for the hypothesis that long-lived healthy individuals might exhibit greater genetic fitness than the general population. Furthermore, there is no evidence for an accumulation of previously described variants promoting longevity in the 2 octogenarians. These findings suggest that genetic fitness, as currently defined, is not the sole factor enabling an increased life span. We identified a number of healthy-cognitive-aging candidate genetic loci awaiting confirmation in larger studies.
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Affiliation(s)
- Dorothee Nickles
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Lohith Madireddy
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Nihar Patel
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Noriko Isobe
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Bruce L Miller
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Sergio E Baranzini
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Joel H Kramer
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA, USA.
| | - Jorge R Oksenberg
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA.
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