301
|
Castorina A, Szychlinska MA, Marzagalli R, Musumeci G. Mesenchymal stem cells-based therapy as a potential treatment in neurodegenerative disorders: is the escape from senescence an answer? Neural Regen Res 2015; 10:850-8. [PMID: 26199588 PMCID: PMC4498333 DOI: 10.4103/1673-5374.158352] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/10/2015] [Indexed: 01/09/2023] Open
Abstract
Aging is the most prominent risk factor contributing to the development of neurodegenerative disorders. In the United States, over 35 million of elderly people suffer from age-related diseases. Aging impairs the self-repair ability of neuronal cells, which undergo progressive deterioration. Once initiated, this process hampers the already limited regenerative power of the central nervous system, making the search for new therapeutic strategies particularly difficult in elderly affected patients. So far, mesenchymal stem cells have proven to be a viable option to ameliorate certain aspects of neurodegeneration, as they possess high proliferative rate and differentiate in vitro into multiple lineages. However, accumulating data have demonstrated that during long-term culture, mesenchymal stem cells undergo spontaneous transformation. Transformed mesenchymal stem cells show typical features of senescence, including the progressive shortening of telomers, which results in cell loss and, as a consequence, hampered regenerative potential. These evidences, in line with those observed in mesenchymal stem cells isolated from old donors, suggest that senescence may represent a limit to mesenchymal stem cells exploitation in therapy, prompting scholars to either find alternative sources of pluripotent cells or to arrest the age-related transformation. In the present review, we summarize findings from recent literature, and critically discuss some of the major hurdles encountered in the search of appropriate sources of mesenchymal stem cells, as well as benefits arising from their use in neurodegenerative diseases. Finally, we provide some insights that may aid in the development of strategies to arrest or, at least, delay the aging of mesenchymal stem cells to improve their therapeutic potential.
Collapse
Affiliation(s)
- Alessandro Castorina
- Department of Biomedical and Biotechnological Science, Section of Human Anatomy and Histology, School of Medicine, University of Catania, Via S. Sofia 87, Catania, Italy
| | - Marta Anna Szychlinska
- Department of Biomedical and Biotechnological Science, Section of Human Anatomy and Histology, School of Medicine, University of Catania, Via S. Sofia 87, Catania, Italy
| | - Rubina Marzagalli
- Department of Biomedical and Biotechnological Science, Section of Human Anatomy and Histology, School of Medicine, University of Catania, Via S. Sofia 87, Catania, Italy
| | - Giuseppe Musumeci
- Department of Biomedical and Biotechnological Science, Section of Human Anatomy and Histology, School of Medicine, University of Catania, Via S. Sofia 87, Catania, Italy
| |
Collapse
|
302
|
Bijnens E, Zeegers MP, Gielen M, Kicinski M, Hageman GJ, Pachen D, Derom C, Vlietinck R, Nawrot TS. Lower placental telomere length may be attributed to maternal residential traffic exposure; a twin study. ENVIRONMENT INTERNATIONAL 2015; 79:1-7. [PMID: 25756235 DOI: 10.1016/j.envint.2015.02.008] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2014] [Revised: 01/09/2015] [Accepted: 02/13/2015] [Indexed: 05/03/2023]
Abstract
BACKGROUND High variation in telomere length between individuals is already present before birth and is as wide among newborns as in adults. Environmental exposures likely have an impact on this observation, but remain largely unidentified. We hypothesize that placental telomere length in twins is associated with residential traffic exposure, an important environmental source of free radicals that might accelerate aging. Next, we intend to unravel the nature-nurture contribution to placental telomere length by estimating the heritability of placental telomere length. METHODS We measured the telomere length in placental tissues of 211 twins in the East Flanders Prospective Twin Survey. Maternal traffic exposure was determined using a geographic information system. Additionally, we estimated the relative importance of genetic and environmental sources of variance. RESULTS In this twin study, a variation in telomere length in the placental tissue was mainly determined by the common environment. Maternal residential proximity to a major road was associated with placental telomere length: a doubling in the distance to the nearest major road was associated with a 5.32% (95% CI: 1.90 to 8.86%; p=0.003) longer placental telomere length at birth. In addition, an interquartile increase (22%) in maternal residential surrounding greenness (5 km buffer) was associated with an increase of 3.62% (95% CI: 0.20 to 7.15%; p=0.04) in placental telomere length. CONCLUSIONS In conclusion, we showed that maternal residential proximity to traffic and lower residential surrounding greenness is associated with shorter placental telomere length at birth. This may explain a significant proportion of air pollution-related adverse health outcomes starting from early life, since shortened telomeres accelerate the progression of many diseases.
Collapse
Affiliation(s)
- Esmée Bijnens
- Centre for Environmental Sciences, Hasselt University, Agoralaan Building D, 3590 Diepenbeek, Belgium; Department of Complex Genetics, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands
| | - Maurice P Zeegers
- Department of Complex Genetics, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands
| | - Marij Gielen
- Department of Complex Genetics, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands
| | - Michal Kicinski
- Centre for Environmental Sciences, Hasselt University, Agoralaan Building D, 3590 Diepenbeek, Belgium
| | - Geja J Hageman
- Department of Toxicology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands
| | - Daniëlle Pachen
- Department of Toxicology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands
| | - Catherine Derom
- Centre of Human Genetics, University Hospitals Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - Robert Vlietinck
- Centre of Human Genetics, University Hospitals Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - Tim S Nawrot
- Centre for Environmental Sciences, Hasselt University, Agoralaan Building D, 3590 Diepenbeek, Belgium; Department of Public Health, Leuven University (KU Leuven), Kapucijnenvoer 35, 3000 Leuven, Belgium.
| |
Collapse
|
303
|
Telomere length and cortisol reactivity in children of depressed mothers. Mol Psychiatry 2015; 20:615-20. [PMID: 25266121 PMCID: PMC4419149 DOI: 10.1038/mp.2014.119] [Citation(s) in RCA: 137] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2014] [Revised: 08/05/2014] [Accepted: 08/21/2014] [Indexed: 01/24/2023]
Abstract
A growing body of research demonstrates that individuals diagnosed with major depressive disorder (MDD) are characterized by shortened telomere length, which has been posited to underlie the association between depression and increased instances of medical illness. The temporal nature of the relation between MDD and shortened telomere length, however, is not clear. Importantly, both MDD and telomere length have been associated independently with high levels of stress, implicating dysregulation of the hypothalamic-pituitary-adrenal (HPA) axis and anomalous levels of cortisol secretion in this relation. Despite these associations, no study has assessed telomere length or its relation with HPA-axis activity in individuals at risk for depression, before the onset of disorder. In the present study, we assessed cortisol levels in response to a laboratory stressor and telomere length in 97 healthy young daughters of mothers either with recurrent episodes of depression (i.e., daughters at familial risk for depression) or with no history of psychopathology. We found that daughters of depressed mothers had shorter telomeres than did daughters of never-depressed mothers and, further, that shorter telomeres were associated with greater cortisol reactivity to stress. This study is the first to demonstrate that children at familial risk of developing MDD are characterized by accelerated biological aging, operationalized as shortened telomere length, before they had experienced an onset of depression; this may predispose them to develop not only MDD but also other age-related medical illnesses. It is critical, therefore, that we attempt to identify and distinguish genetic and environmental mechanisms that contribute to telomere shortening.
Collapse
|
304
|
Sharma R, Agarwal A, Rohra VK, Assidi M, Abu-Elmagd M, Turki RF. Effects of increased paternal age on sperm quality, reproductive outcome and associated epigenetic risks to offspring. Reprod Biol Endocrinol 2015; 13:35. [PMID: 25928123 PMCID: PMC4455614 DOI: 10.1186/s12958-015-0028-x] [Citation(s) in RCA: 232] [Impact Index Per Article: 25.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2014] [Accepted: 04/09/2015] [Indexed: 12/14/2022] Open
Abstract
Over the last decade, there has been a significant increase in average paternal age when the first child is conceived, either due to increased life expectancy, widespread use of contraception, late marriages and other factors. While the effect of maternal ageing on fertilization and reproduction is well known and several studies have shown that women over 35 years have a higher risk of infertility, pregnancy complications, spontaneous abortion, congenital anomalies, and perinatal complications. The effect of paternal age on semen quality and reproductive function is controversial for several reasons. First, there is no universal definition for advanced paternal ageing. Secondly, the literature is full of studies with conflicting results, especially for the most common parameters tested. Advancing paternal age also has been associated with increased risk of genetic disease. Our exhaustive literature review has demonstrated negative effects on sperm quality and testicular functions with increasing paternal age. Epigenetics changes, DNA mutations along with chromosomal aneuploidies have been associated with increasing paternal age. In addition to increased risk of male infertility, paternal age has also been demonstrated to impact reproductive and fertility outcomes including a decrease in IVF/ICSI success rate and increasing rate of preterm birth. Increasing paternal age has shown to increase the incidence of different types of disorders like autism, schizophrenia, bipolar disorders, and childhood leukemia in the progeny. It is thereby essential to educate the infertile couples on the disturbing links between increased paternal age and rising disorders in their offspring, to better counsel them during their reproductive years.
Collapse
Affiliation(s)
- Rakesh Sharma
- Center for Reproductive Medicine, Cleveland Clinic, Cleveland, OH, USA.
| | - Ashok Agarwal
- Center for Reproductive Medicine, Cleveland Clinic, Cleveland, OH, USA.
| | - Vikram K Rohra
- Center for Reproductive Medicine, Cleveland Clinic, Cleveland, OH, USA.
| | - Mourad Assidi
- Center of Excellence in Genomic Medicine Research, King AbdulAziz University, Jeddah, Saudi Arabia.
- KACST Technology Innovation Center in Personalized Medicine at King AbdulAziz University, Jeddah, Saudi Arabia.
| | - Muhammad Abu-Elmagd
- Center of Excellence in Genomic Medicine Research, King AbdulAziz University, Jeddah, Saudi Arabia.
- KACST Technology Innovation Center in Personalized Medicine at King AbdulAziz University, Jeddah, Saudi Arabia.
| | - Rola F Turki
- KACST Technology Innovation Center in Personalized Medicine at King AbdulAziz University, Jeddah, Saudi Arabia.
- Obstetrics and Gynecology Department, King Abdulaziz University Hospital, Jeddah, Saudi Arabia.
| |
Collapse
|
305
|
Sirota M, Willemsen G, Sundar P, Pitts SJ, Potluri S, Prifti E, Kennedy S, Ehrlich SD, Neuteboom J, Kluft C, Malone KE, Cox DR, de Geus EJC, Boomsma DI. Effect of genome and environment on metabolic and inflammatory profiles. PLoS One 2015; 10:e0120898. [PMID: 25853885 PMCID: PMC4390246 DOI: 10.1371/journal.pone.0120898] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2014] [Accepted: 01/27/2015] [Indexed: 11/18/2022] Open
Abstract
Twin and family studies have established the contribution of genetic factors to variation in metabolic, hematologic and immunological parameters. The majority of these studies analyzed single or combined traits into pre-defined syndromes. In the present study, we explore an alternative multivariate approach in which a broad range of metabolic, hematologic, and immunological traits are analyzed simultaneously to determine the resemblance of monozygotic (MZ) twin pairs, twin-spouse pairs and unrelated, non-cohabiting individuals. A total of 517 participants from the Netherlands Twin Register, including 210 MZ twin pairs and 64 twin-spouse pairs, took part in the study. Data were collected on body composition, blood pressure, heart rate, and multiple biomarkers assessed in fasting blood samples, including lipid levels, glucose, insulin, liver enzymes, hematological measurements and cytokine levels. For all 51 measured traits, pair-wise Pearson correlations, correcting for family relatedness, were calculated across all the individuals in the cohort. Hierarchical clustering techniques were applied to group the measured traits into sub-clusters based on similarity. Sub-clusters were observed among metabolic traits and among inflammatory markers. We defined a phenotypic profile as the collection of all the traits measured for a given individual. Average within-pair similarity of phenotypic profiles was determined for the groups of MZ twin pairs, spouse pairs and pairs of unrelated individuals. The average similarity across the full phenotypic profile was higher for MZ twin pairs than for spouse pairs, and lowest for pairs of unrelated individuals. Cohabiting MZ twins were more similar in their phenotypic profile compared to MZ twins who no longer lived together. The correspondence in the phenotypic profile is therefore determined to a large degree by familial, mostly genetic, factors, while household factors contribute to a lesser degree to profile similarity.
Collapse
Affiliation(s)
- Marina Sirota
- Rinat-Pfizer, South San Francisco, California, United States of America
| | - Gonneke Willemsen
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, Netherlands
| | - Purnima Sundar
- Rinat-Pfizer, South San Francisco, California, United States of America
| | - Steven J. Pitts
- Rinat-Pfizer, South San Francisco, California, United States of America
| | - Shobha Potluri
- Rinat-Pfizer, South San Francisco, California, United States of America
| | - Edi Prifti
- INRA, Institut National de la Recherche Agronomique, Metagenopolis, Jouy-en-Josas, France
| | - Sean Kennedy
- INRA, Institut National de la Recherche Agronomique, Metagenopolis, Jouy-en-Josas, France
| | - S. Dusko Ehrlich
- INRA, Institut National de la Recherche Agronomique, Metagenopolis, Jouy-en-Josas, France
| | | | | | | | - David R. Cox
- Rinat-Pfizer, South San Francisco, California, United States of America
| | - Eco J. C. de Geus
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, Netherlands
| | - Dorret I. Boomsma
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, Netherlands
| |
Collapse
|
306
|
Schutte NS, Malouff JM. The association between depression and leukocyte telomere length: a meta-analysis. Depress Anxiety 2015; 32:229-38. [PMID: 25709105 DOI: 10.1002/da.22351] [Citation(s) in RCA: 99] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2014] [Revised: 12/03/2014] [Accepted: 12/12/2014] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND Telomeres protect the ends of chromosomes, and shorter leukocyte telomeres are associated with poor health. Depression may be associated with the shortening of leukocyte telomeres. The present study set out to consolidate the varying effect sizes found so far in studies of depression and telomere length and to identify moderators of the relationship between depression and telomere length. METHODS A meta-analytic investigation of the relationship between depression and leukocyte telomere length used information from 21,040 participants. RESULTS A significant effect size, r = -.12, P < .001, indicated that depression was associated with shorter telomere length. Several variables significantly moderated effect size. Concurrent associations (k = 25) between depression and telomere length were significantly stronger than longitudinal associations (k = 5). Studies that used the Southern blot (k = 3) and fluorescent in situ hybridization (FISH; k = 2) assays to measure telomere length showed larger effect sizes than studies that used quantitative polymerase chain reaction (qPCR; k = 25). Finally, study reports that indicated that the telomere assays were conducted blind to depression level of participants (k = 11) had significantly lower effect sizes than those of other studies (k = 19). CONCLUSIONS The significant relationship between depression and shorter telomere length is consistent with a theoretical model positing that distress, such as experienced in depression, results in physiological changes leading to shortened telomeres.
Collapse
|
307
|
Hjelmborg JB, Dalgård C, Möller S, Steenstrup T, Kimura M, Christensen K, Kyvik KO, Aviv A. The heritability of leucocyte telomere length dynamics. J Med Genet 2015; 52:297-302. [PMID: 25770094 PMCID: PMC4413805 DOI: 10.1136/jmedgenet-2014-102736] [Citation(s) in RCA: 148] [Impact Index Per Article: 16.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2014] [Accepted: 10/14/2014] [Indexed: 01/17/2023]
Abstract
Background Leucocyte telomere length (LTL) is a complex trait associated with ageing and longevity. LTL dynamics are defined by LTL and its age-dependent attrition. Strong, but indirect evidence suggests that LTL at birth and its attrition during childhood largely explains interindividual LTL variation among adults. A number of studies have estimated the heritability of LTL, but none has assessed the heritability of age-dependent LTL attrition. Methods We examined the heritability of LTL dynamics based on a longitudinal evaluation (an average follow-up of 12 years) in 355 monozygotic and 297 dizygotic same-sex twins (aged 19–64 years at baseline). Results Heritability of LTL at baseline was estimated at 64% (95% CI 39% to 83%) with 22% (95% CI 6% to 49%) of shared environmental effects. Heritability of age-dependent LTL attrition rate was estimated at 28% (95% CI 16% to 44%). Individually unique environmental factors, estimated at 72% (95% CI 56% to 84%) affected LTL attrition rate with no indication of shared environmental effects. Conclusions This is the first study that estimated heritability of LTL and also its age-dependent attrition. As LTL attrition is much slower in adults than in children and given that having a long or a short LTL is largely determined before adulthood, our findings suggest that heritability and early life environment are the main determinants of LTL throughout the human life course. Thus, insights into factors that influence LTL at birth and its dynamics during childhood are crucial for understanding the role of telomere genetics in human ageing and longevity.
Collapse
Affiliation(s)
- Jacob B Hjelmborg
- Department of Epidemiology, Biostatistics and Biodemography, Institute of Public Health, University of Southern Denmark, Odense, Denmark The Danish Twin Registry, University of Southern Denmark, Odense, Denmark
| | - Christine Dalgård
- Department of Environmental Medicine, Institute of Public Health, University of Southern Denmark, Odense, Denmark
| | - Soren Möller
- Department of Epidemiology, Biostatistics and Biodemography, Institute of Public Health, University of Southern Denmark, Odense, Denmark The Danish Twin Registry, University of Southern Denmark, Odense, Denmark
| | - Troels Steenstrup
- Department of Epidemiology, Biostatistics and Biodemography, Institute of Public Health, University of Southern Denmark, Odense, Denmark The Danish Twin Registry, University of Southern Denmark, Odense, Denmark
| | - Masayuki Kimura
- Center of Human Development and Aging, Rutgers, The State University of New Jersey, New Jersey Medical School, Newark, New Jersey, USA
| | - Kaare Christensen
- Department of Epidemiology, Biostatistics and Biodemography, Institute of Public Health, University of Southern Denmark, Odense, Denmark The Danish Twin Registry, University of Southern Denmark, Odense, Denmark Department of Clinical Genetics, Odense University Hospital, Odense, Denmark Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark
| | - Kirsten O Kyvik
- Institute of Regional Health Services Research, University of Southern Denmark and Odense Patient data Explorative Network (OPEN), Odense University Hospital, Odense, Denmark
| | - Abraham Aviv
- Center of Human Development and Aging, Rutgers, The State University of New Jersey, New Jersey Medical School, Newark, New Jersey, USA
| |
Collapse
|
308
|
Abstract
A nongenetic, transgenerational effect of parental age on offspring fitness has been described in many taxa in the laboratory. Such a transgenerational fitness effect will have important influences on population dynamics, population age structure, and the evolution of aging and lifespan. However, effects of parental age on offspring lifetime fitness have never been demonstrated in a natural population. We show that parental age has sex-specific negative effects on lifetime fitness, using data from a pedigreed insular population of wild house sparrows. Birds whose parents were older produced fewer recruits annually than birds with younger parents, and the reduced number of recruits translated into a lifetime fitness difference. Using a long-term cross-fostering experiment, we demonstrate that this parental age effect is unlikely to be the result of changes in the environment but that it potentially is epigenetically inherited. Our study reveals the hidden consequences of late-life reproduction that persist into the next generation.
Collapse
|
309
|
Low Birth Weight in MZ Twins Discordant for Birth Weight is Associated with Shorter Telomere Length and lower IQ, but not Anxiety/Depression in Later Life. Twin Res Hum Genet 2015; 18:198-209. [PMID: 25744032 DOI: 10.1017/thg.2015.3] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Shorter telomere length (TL) has found to be associated with lower birth weight and with lower cognitive ability and psychiatric disorders. However, the direction of causation of these associations and the extent to which they are genetically or environmentally mediated are unclear. Within-pair comparisons of monozygotic (MZ) and dizygotic (DZ) twins can throw light on these questions. We investigated correlations of within pair differences in telomere length, IQ, and anxiety/depression in an initial sample from Brisbane (242 MZ pairs, 245 DZ same sex (DZSS) pairs) and in replication samples from Amsterdam (514 MZ pairs, 233 DZSS pairs) and Melbourne (19 pairs selected for extreme high or low birth weight difference). Intra-pair differences of birth weight and telomere length were significantly correlated in MZ twins, but not in DZSS twins. Greater intra-pair differences of telomere length were observed in the 10% of MZ twins with the greatest difference in birth weight compared to the bottom 90% in both samples and also in the Melbourne sample. Intra-pair differences of telomere length and IQ, but not of TL and anxiety/depression, were correlated in MZ twins, and to a smaller extent in DZSS twins. Our findings suggest that the same prenatal effects that reduce birth weight also influence telomere length in MZ twins. The association between telomere length and IQ is partly driven by the same prenatal effects that decrease birth weight.
Collapse
|
310
|
Stathopoulou MG, Petrelis AM, Buxton JL, Froguel P, Blakemore AIF, Visvikis-Siest S. Genetic determinants of leucocyte telomere length in children: a neglected and challenging field. Paediatr Perinat Epidemiol 2015; 29:146-50. [PMID: 25641522 DOI: 10.1111/ppe.12173] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
BACKGROUND Telomere length is associated with a large range of human diseases. Genome-wide association studies (GWAS) have identified genetic variants that are associated with leucocyte telomere length (LTL). However, these studies are limited to adult populations. Nevertheless, childhood is a crucial period for the determination of LTL, and the assessment of age-specific genetic determinants, although neglected, could be of great importance. Our aim was to provide insights and preliminary results on genetic determinants of LTL in children. METHODS Healthy children (n = 322, age range = 6.75-17 years) with available GWAS data (Illumina Human CNV370-Duo array) were included. The LTL was measured using multiplex quantitative real-time polymerase chain reaction. Linear regression models adjusted for age, gender, parental age at child's birth, and body mass index were used to test the associations of LTL with polymorphisms identified in adult GWAS and to perform a discovery-only GWAS. RESULTS The previously GWAS-identified variants in adults were not associated with LTL in our paediatric sample. This lack of association was not due to possible interactions with age or gene × gene interactions. Furthermore, a discovery-only GWAS approach demonstrated six novel variants that reached the level of suggestive association (P ≤ 5 × 10(-5)) and explain a high percentage of children's LTL. CONCLUSIONS The study of genetic determinants of LTL in children may identify novel variants not previously identified in adults. Studies in large-scale children populations are needed for the confirmation of these results, possibly through a childhood consortium that could better handle the methodological challenges of LTL genetic epidemiology field.
Collapse
Affiliation(s)
- Maria G Stathopoulou
- UMR INSERM U1122, Interactions Gène-Environnement en Physiopathologie Cardio-Vasculaire (IGE-PCV), Université de Lorraine, Nancy, France
| | | | | | | | | | | |
Collapse
|
311
|
Population-specific association of genes for telomere-associated proteins with longevity in an Italian population. Biogerontology 2015; 16:353-64. [DOI: 10.1007/s10522-015-9551-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2014] [Accepted: 01/13/2015] [Indexed: 10/24/2022]
|
312
|
Mangino M, Christiansen L, Stone R, Hunt SC, Horvath K, Eisenberg DTA, Kimura M, Petersen I, Kark JD, Herbig U, Reiner AP, Benetos A, Codd V, Nyholt DR, Sinnreich R, Christensen K, Nassar H, Hwang SJ, Levy D, Bataille V, Fitzpatrick AL, Chen W, Berenson GS, Samani NJ, Martin NG, Tishkoff S, Schork NJ, Kyvik KO, Dalgård C, Spector TD, Aviv A. DCAF4, a novel gene associated with leucocyte telomere length. J Med Genet 2015; 52:157-62. [PMID: 25624462 PMCID: PMC4345921 DOI: 10.1136/jmedgenet-2014-102681] [Citation(s) in RCA: 57] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
BACKGROUND Leucocyte telomere length (LTL), which is fashioned by multiple genes, has been linked to a host of human diseases, including sporadic melanoma. A number of genes associated with LTL have already been identified through genome-wide association studies. The main aim of this study was to establish whether DCAF4 (DDB1 and CUL4-associated factor 4) is associated with LTL. In addition, using ingenuity pathway analysis (IPA), we examined whether LTL-associated genes in the general population might partially explain the inherently longer LTL in patients with sporadic melanoma, the risk for which is increased with ultraviolet radiation (UVR). RESULTS Genome-wide association (GWA) meta-analysis and de novo genotyping of 20 022 individuals revealed a novel association (p=6.4×10(-10)) between LTL and rs2535913, which lies within DCAF4. Notably, eQTL analysis showed that rs2535913 is associated with decline in DCAF4 expressions in both lymphoblastoid cells and sun-exposed skin (p=4.1×10(-3) and 2×10(-3), respectively). Moreover, IPA revealed that LTL-associated genes, derived from GWA meta-analysis (N=9190), are over-represented among genes engaged in melanoma pathways. Meeting increasingly stringent p value thresholds (p<0.05, <0.01, <0.005, <0.001) in the LTL-GWA meta-analysis, these genes were jointly over-represented for melanoma at p values ranging from 1.97×10(-169) to 3.42×10(-24). CONCLUSIONS We uncovered a new locus associated with LTL in the general population. We also provided preliminary findings that suggest a link of LTL through genetic mechanisms with UVR and melanoma in the general population.
Collapse
Affiliation(s)
- Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK National Institute for Health Research (NIHR) Biomedical Research Centre at Guy's and St. Thomas' Foundation Trust, London, UK
| | - Lene Christiansen
- Epidemiology Unit, The Danish Aging Research Center and The Danish Twin Registry, Institute of Public Health, University of Southern Denmark, Odense, Denmark Department of Clinical Genetics, and Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark
| | - Rivka Stone
- Center of Human Development and Aging, Rutgers, The State University of New Jersey, New Jersey Medical School, Newark, New Jersey, USA
| | - Steven C Hunt
- Cardiovascular Genetics Division, Department of Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Kent Horvath
- Center of Human Development and Aging, Rutgers, The State University of New Jersey, New Jersey Medical School, Newark, New Jersey, USA
| | - Dan T A Eisenberg
- Department of Anthropology, University of Washington, Seattle, Washington, USA Center for Studies in Demography and Ecology, University of Washington, Seattle, Washington, USA
| | - Masayuki Kimura
- Center of Human Development and Aging, Rutgers, The State University of New Jersey, New Jersey Medical School, Newark, New Jersey, USA
| | - Inge Petersen
- Epidemiology Unit, The Danish Aging Research Center and The Danish Twin Registry, Institute of Public Health, University of Southern Denmark, Odense, Denmark
| | - Jeremy D Kark
- Epidemiology Unit, Hebrew University-Hadassah School of Public Health and Community Medicine, Jerusalem, Israel
| | - Utz Herbig
- Center of Human Development and Aging, Rutgers, The State University of New Jersey, New Jersey Medical School, Newark, New Jersey, USA
| | - Alex P Reiner
- Department of Epidemiology, University of Washington, Seattle, Washington, USA Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Athanase Benetos
- Department of Geriatrics, Universite de Lorraine INSERM U961, Nancy, France
| | - Veryan Codd
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK National Institute for Health Research (NIHR) Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester, UK
| | - Dale R Nyholt
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Ronit Sinnreich
- Epidemiology Unit, Hebrew University-Hadassah School of Public Health and Community Medicine, Jerusalem, Israel
| | - Kaare Christensen
- Epidemiology Unit, The Danish Aging Research Center and The Danish Twin Registry, Institute of Public Health, University of Southern Denmark, Odense, Denmark Department of Clinical Genetics, and Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark
| | - Hisham Nassar
- Department of Cardiology, Hadassah University Medical Center, Jerusalem, Israel
| | - Shih-Jen Hwang
- Population Sciences Branch of the National Heart, Lung and Blood Institute, Bethesda, Maryland, USA The Framingham Heart Study, Framingham, Massachusetts, USA
| | - Daniel Levy
- Population Sciences Branch of the National Heart, Lung and Blood Institute, Bethesda, Maryland, USA The Framingham Heart Study, Framingham, Massachusetts, USA
| | - Veronique Bataille
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK Department of Dermatology, West Herts NHS Trust, Herts, UK
| | | | - Wei Chen
- Center for Cardiovascular Health, Tulane University, New Orleans, Louisiana, USA
| | - Gerald S Berenson
- Center for Cardiovascular Health, Tulane University, New Orleans, Louisiana, USA
| | - Nilesh J Samani
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK National Institute for Health Research (NIHR) Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester, UK
| | | | - Sarah Tishkoff
- Department of Genetics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Nicholas J Schork
- Department of Molecular and Experimental Medicine, The Scripps Research Institute, San Diego, California, USA
| | - Kirsten Ohm Kyvik
- Epidemiology Unit, The Danish Aging Research Center and The Danish Twin Registry, Institute of Public Health, University of Southern Denmark, Odense, Denmark Institute of Regional Health Services Research, University of Southern Denmark, Odense, Denmark Odense Patient data Explorative Network (OPEN), Odense University Hospital, Odense, Denmark
| | - Christine Dalgård
- Institute of Public Health, Environmental Medicine, University of Southern Denmark, Odense, Denmark
| | - Timothy D Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Abraham Aviv
- Center of Human Development and Aging, Rutgers, The State University of New Jersey, New Jersey Medical School, Newark, New Jersey, USA
| |
Collapse
|
313
|
Chen S, Yeh F, Lin J, Matsuguchi T, Blackburn E, Lee ET, Howard BV, Zhao J. Short leukocyte telomere length is associated with obesity in American Indians: the Strong Heart Family study. Aging (Albany NY) 2015; 6:380-9. [PMID: 24861044 PMCID: PMC4069265 DOI: 10.18632/aging.100664] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Shorter leukocyte telomere length (LTL) has been associated with a wide range of age-related disorders including cardiovascular disease (CVD) and diabetes. Obesity is an important risk factor for CVD and diabetes. The association of LTL with obesity is not well understood. This study for the first time examines the association of LTL with obesity indices including body mass index, waist circumference, percent body fat, waist-to-hip ratio, and waist-to-height ratio in 3,256 American Indians (14-93 years old, 60% women) participating in the Strong Heart Family Study. Association of LTL with each adiposity index was examined using multivariate generalized linear mixed model, adjusting for chronological age, sex, study center, education, lifestyle (smoking, alcohol consumption, and total energy intake), high-sensitivity C-reactive protein, hypertension and diabetes. Results show that obese participants had significantly shorter LTL than non-obese individuals (age-adjusted P=0.0002). Multivariate analyses demonstrate that LTL was significantly and inversely associated with all of the studied obesity parameters. Our results may shed light on the potential role of biological aging in pathogenesis of obesity and its comorbidities.
Collapse
Affiliation(s)
- Shufeng Chen
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112, USA
| | | | | | | | | | | | | | | |
Collapse
|
314
|
Comparison of telomere length in black and white teachers from South Africa: the sympathetic activity and ambulatory blood pressure in Africans study. Psychosom Med 2015; 77:26-32. [PMID: 25469684 DOI: 10.1097/psy.0000000000000123] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
OBJECTIVE Telomere length is a marker of biological aging that has been linked to cardiovascular disease risk. The black South African population is witnessing a tremendous increase in the prevalence of cardiovascular disease, part of which might be explained through urbanization. We compared telomere length between black South Africans and white South Africans and examined which biological and psychosocial variables played a role in ethnic difference in telomere length. METHODS We measured leukocyte telomere length in 161 black South African teachers and 180 white South African teachers aged 23 to 66 years without a history of atherothrombotic vascular disease. Age, sex, years having lived in the area, human immunodeficiency virus (HIV) infection, hypertension, body mass index, dyslipidemia, hemoglobin A1c, C-reactive protein, smoking, physical activity, alcohol abuse, depressive symptoms, psychological distress, and work stress were considered as covariates. RESULTS Black participants had shorter (median, interquartile range) relative telomere length (0.79, 0.70-0.95) than did white participants (1.06, 0.87-1.21; p < .001), and this difference changed very little after adjusting for covariates. In fully adjusted models, age (p < .001), male sex (p = .011), and HIV positive status (p = .023) were associated with shorter telomere length. Ethnicity did not significantly interact with any covariates in determining telomere length, including psychosocial characteristics. CONCLUSIONS Black South Africans showed markedly shorter telomeres than did white South African counterparts. Age, male sex, and HIV status were associated with shorter telomere length. No interactions between ethnicity and biomedical or psychosocial factors were found. Ethnic difference in telomere length might primarily be explained by genetic factors.
Collapse
|
315
|
Kocak H, Ballew BJ, Bisht K, Eggebeen R, Hicks BD, Suman S, O'Neil A, Giri N, Maillard I, Alter BP, Keegan CE, Nandakumar J, Savage SA. Hoyeraal-Hreidarsson syndrome caused by a germline mutation in the TEL patch of the telomere protein TPP1. Genes Dev 2014; 28:2090-102. [PMID: 25233904 PMCID: PMC4180972 DOI: 10.1101/gad.248567.114] [Citation(s) in RCA: 84] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Germline mutations in telomere biology genes cause dyskeratosis congenita (DC), an inherited bone marrow failure and cancer predisposition syndrome. Hoyeraal-Hreidarsson syndrome (HH) is a clinically severe variant of DC. Using exome sequencing, Kocak et al. identified mutations in ACD (encoding TPP1), a component of the telomeric shelterin complex, in one family affected by HH. Characterization of the mutations revealed that the single-amino-acid deletion affecting the TEL patch surface of the TPP1 protein significantly compromises both telomerase recruitment and processivity. Germline mutations in telomere biology genes cause dyskeratosis congenita (DC), an inherited bone marrow failure and cancer predisposition syndrome. DC is a clinically heterogeneous disorder diagnosed by the triad of dysplastic nails, abnormal skin pigmentation, and oral leukoplakia; Hoyeraal-Hreidarsson syndrome (HH), a clinically severe variant of DC, also includes cerebellar hypoplasia, immunodeficiency, and intrauterine growth retardation. Approximately 70% of DC cases are associated with a germline mutation in one of nine genes, the products of which are all involved in telomere biology. Using exome sequencing, we identified mutations in Adrenocortical Dysplasia Homolog (ACD) (encoding TPP1), a component of the telomeric shelterin complex, in one family affected by HH. The proband inherited a deletion from his father and a missense mutation from his mother, resulting in extremely short telomeres and a severe clinical phenotype. Characterization of the mutations revealed that the single-amino-acid deletion affecting the TEL patch surface of the TPP1 protein significantly compromises both telomerase recruitment and processivity, while the missense mutation in the TIN2-binding region of TPP1 is not as clearly deleterious to TPP1 function. Our results emphasize the critical roles of the TEL patch in proper stem cell function and demonstrate that TPP1 is the second shelterin component (in addition to TIN2) to be implicated in DC.
Collapse
Affiliation(s)
- Hande Kocak
- Department of Human Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Bari J Ballew
- Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), Rockville, Maryland 20850, USA
| | - Kamlesh Bisht
- Department of Molecular, Cellular, and Developmental Biology, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Rebecca Eggebeen
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, NCI-Frederick, Rockville, Maryland 20850, USA
| | - Belynda D Hicks
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, NCI-Frederick, Rockville, Maryland 20850, USA
| | - Shalabh Suman
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, NCI-Frederick, Rockville, Maryland 20850, USA
| | - Adri O'Neil
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, NCI-Frederick, Rockville, Maryland 20850, USA
| | - Neelam Giri
- Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), Rockville, Maryland 20850, USA
| | | | | | - Ivan Maillard
- Life Sciences Institute, University of Michigan, Ann Arbor, Michigan 48109, USA; Division of Hematology-Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan 48109, USA; Department of Cell and Developmental Biology, Ann Arbor, Michigan 48109, USA
| | - Blanche P Alter
- Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), Rockville, Maryland 20850, USA
| | - Catherine E Keegan
- Department of Human Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA; Department of Pediatrics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Jayakrishnan Nandakumar
- Department of Molecular, Cellular, and Developmental Biology, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Sharon A Savage
- Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), Rockville, Maryland 20850, USA;
| |
Collapse
|
316
|
DeFilippis RA, Fordyce C, Patten K, Chang H, Zhao J, Fontenay GV, Kerlikowske K, Parvin B, Tlsty TD. Stress signaling from human mammary epithelial cells contributes to phenotypes of mammographic density. Cancer Res 2014; 74:5032-5044. [PMID: 25172842 DOI: 10.1158/0008-5472.can-13-3390] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Telomere malfunction and other types of DNA damage induce an activin A-dependent stress response in mortal nontumorigenic human mammary epithelial cells that subsequently induces desmoplastic-like phenotypes in neighboring fibroblasts. Some characteristics of this fibroblast/stromal response, such as reduced adipocytes and increased extracellular matrix content, are observed not only in tumor tissues but also in disease-free breast tissues at high risk for developing cancer, especially high mammographic density tissues. We found that these phenotypes are induced by repression of the fatty acid translocase CD36, which is seen in desmoplastic and disease-free high mammographic density tissues. In this study, we show that epithelial cells from high mammographic density tissues have more DNA damage signaling, shorter telomeres, increased activin A secretion and an altered DNA damage response compared with epithelial cells from low mammographic density tissues. Strikingly, both telomere malfunction and activin A expression in epithelial cells can repress CD36 expression in adjacent fibroblasts. These results provide new insights into how high mammographic density arises and why it is associated with breast cancer risk, with implications for the definition of novel invention targets (e.g., activin A and CD36) to prevent breast cancer.
Collapse
Affiliation(s)
- Rosa Anna DeFilippis
- Department of Pathology, University of California San Francisco, San Francisco, CA, 94143, USA.,Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Colleen Fordyce
- Department of Pathology, University of California San Francisco, San Francisco, CA, 94143, USA.,Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Kelley Patten
- Department of Pathology, University of California San Francisco, San Francisco, CA, 94143, USA.,Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Hang Chang
- Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Jianxin Zhao
- Department of Pathology, University of California San Francisco, San Francisco, CA, 94143, USA.,Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, 94143, USA
| | | | - Karla Kerlikowske
- Department of Medicine, University of California San Francisco, San Francisco, CA, 94143, USA.,Departments of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Bahram Parvin
- Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Thea D Tlsty
- Department of Pathology, University of California San Francisco, San Francisco, CA, 94143, USA.,Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, 94143, USA
| |
Collapse
|
317
|
Verhoeven JE, Révész D, Wolkowitz OM, Penninx BWJH. Cellular aging in depression: Permanent imprint or reversible process?: An overview of the current evidence, mechanistic pathways, and targets for interventions. Bioessays 2014; 36:968-78. [PMID: 25143317 DOI: 10.1002/bies.201400068] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Depression might be associated with accelerated cellular aging. However, does this result in an irreversible state or is the body able to slow down or recover from such a process? Telomeres are DNA-protein complexes that protect the ends of chromosomes and generally shorten with age; and therefore index cellular aging. The majority of studies indicate that persons with depression have shorter leukocyte telomeres than similarly aged non-depressed persons, which may contribute to the observed unfavorable somatic health outcomes in the depressed population. Some small-scale preliminary studies raise the possibility that behavioral or pharmacological interventions may either slow down or else reverse this accelerated telomere shortening, possibly through increasing the activity of the telomere-lengthening enzyme telomerase. This paper covers the current state of evidence in the relationship between depression and the telomere-telomerase system and debates whether depression-related cellular aging should be considered a reversible process or permanent damage.
Collapse
Affiliation(s)
- Josine E Verhoeven
- Department of Psychiatry and EMGO Institute for Health and Care Research, VU University Medical Centre, Amsterdam, The Netherlands
| | | | | | | |
Collapse
|
318
|
Reichert S, Rojas ER, Zahn S, Robin JP, Criscuolo F, Massemin S. Maternal telomere length inheritance in the king penguin. Heredity (Edinb) 2014; 114:10-6. [PMID: 25052413 DOI: 10.1038/hdy.2014.60] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2014] [Revised: 04/24/2014] [Accepted: 05/07/2014] [Indexed: 01/07/2023] Open
Abstract
Telomeres are emerging as a biomarker for ageing and survival, and are likely important in shaping life-history trade-offs. In particular, telomere length with which one starts in life has been linked to lifelong survival, suggesting that early telomere dynamics are somehow related to life-history trajectories. This result highlights the importance of determining the extent to which telomere length is inherited, as a crucial factor determining early life telomere length. Given the scarcity of species for which telomere length inheritance has been studied, it is pressing to assess the generality of telomere length inheritance patterns. Further, information on how this pattern changes over the course of growth in individuals living under natural conditions should provide some insight on the extent to which environmental constraints also shape telomere dynamics. To fill this gap partly, we followed telomere inheritance in a population of king penguins (Aptenodytes patagonicus). We tested for paternal and maternal influence on chick initial telomere length (10 days old after hatching), and how these relationships changed with chick age (at 70, 200 and 300 days old). Based on a correlative approach, offspring telomere length was positively associated with maternal telomere length early in life (at 10 days old). However, this relationship was not significant at older ages. These data suggest that telomere length in birds is maternally inherited. Nonetheless, the influence of environmental conditions during growth remained an important factor shaping telomere length, as the maternal link disappeared with chicks' age.
Collapse
Affiliation(s)
- S Reichert
- 1] Département Ecologie, Physiologie et Ethologie, Institut Pluridisciplinaire Hubert Curien, Université de Strasbourg, Strasbourg, France [2] CNRS, UMR 7178, Strasbourg, France
| | - E R Rojas
- 1] Département Ecologie, Physiologie et Ethologie, Institut Pluridisciplinaire Hubert Curien, Université de Strasbourg, Strasbourg, France [2] CNRS, UMR 7178, Strasbourg, France
| | - S Zahn
- 1] Département Ecologie, Physiologie et Ethologie, Institut Pluridisciplinaire Hubert Curien, Université de Strasbourg, Strasbourg, France [2] CNRS, UMR 7178, Strasbourg, France
| | - J-P Robin
- 1] Département Ecologie, Physiologie et Ethologie, Institut Pluridisciplinaire Hubert Curien, Université de Strasbourg, Strasbourg, France [2] CNRS, UMR 7178, Strasbourg, France
| | - F Criscuolo
- 1] Département Ecologie, Physiologie et Ethologie, Institut Pluridisciplinaire Hubert Curien, Université de Strasbourg, Strasbourg, France [2] CNRS, UMR 7178, Strasbourg, France
| | - S Massemin
- 1] Département Ecologie, Physiologie et Ethologie, Institut Pluridisciplinaire Hubert Curien, Université de Strasbourg, Strasbourg, France [2] CNRS, UMR 7178, Strasbourg, France
| |
Collapse
|
319
|
Benetos A, Dalgård C, Labat C, Kark JD, Verhulst S, Christensen K, Kimura M, Horvath K, Kyvik KO, Aviv A. Sex difference in leukocyte telomere length is ablated in opposite-sex co-twins. Int J Epidemiol 2014; 43:1799-805. [PMID: 25056338 PMCID: PMC4276058 DOI: 10.1093/ije/dyu146] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Background: In eutherian mammals and in humans, the female fetus may be masculinized while sharing the intra-uterine environment with a male fetus. Telomere length (TL), as expressed in leukocytes, is heritable and is longer in women than in men. The main determinant of leukocyte TL (LTL) is LTL at birth. However, LTL is modified by age-dependent attrition. Methods: We studied LTL dynamics (LTL and its attrition) in adult same-sex (monozygotic, n = 268; dizygotic, n = 308) twins and opposite-sex (n = 144) twins. LTL was measured by Southern blots of the terminal restriction fragments. Results: We observed that in same-sex (both monozygotic and dizygotic) twins, as reported in singletons, LTL was longer in females than in males [estimate ± standard error (SE):163 ± 63 bp, P < 0.01]. However, in opposite-sex twins, female LTL was indistinguishable from that of males (−31 ± 52 bp, P = 0.6), whereas male LTL was not affected. Findings were similar when the comparison was restricted to opposite-sex and same-sex dizygotic twins (females relative to males: same-sex: 188 ± 90 bp, P < 0.05; other-sex: −32 ± 64 bp, P = 0.6). Conclusions: These findings are compatible with masculinization of the female fetus in opposite-sex twins. They suggest that the sex difference in LTL, seen in the general population, is largely determined in utero, perhaps by the intrauterine hormonal environment. Further studies in newborn twins are warranted to test this thesis.
Collapse
Affiliation(s)
- Athanase Benetos
- Département de Médecine Gériatrique, CHU de Nancy, Nancy, France, INSERM, U1116, Vandoeuvre-les-Nancy, France, Université de Lorraine, Nancy, France, Department of Environmental Medicine, University of Southern Denmark, Odense, Denmark, Hebrew University-Hadassah School of Public Health and Community Medicine, Jerusalem, Israel, Centre for Behaviour and Neurosciences, University of Groningen, Groningen, The Netherlands, Danish Twin Registry, University of Southern Denmark, Odense, Denmark, Department of Clinical Genetics and Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark, Center of Human Development and Aging, State University of New Jersey, Newark, NJ, USA and Institute of Regional Health Services Research, University of Southern Denmark and Odense Patient Data Explorative Network (OPEN), Odense University Hospital, Odense, Denmark Département de Médecine Gériatrique, CHU de Nancy, Nancy, France, INSERM, U1116, Vandoeuvre-les-Nancy, France, Université de Lorraine, Nancy, France, Department of Environmental Medicine, University of Southern Denmark, Odense, Denmark, Hebrew University-Hadassah School of Public Health and Community Medicine, Jerusalem, Israel, Centre for Behaviour and Neurosciences, University of Groningen, Groningen, The Netherlands, Danish Twin Registry, University of Southern Denmark, Odense, Denmark, Department of Clinical Genetics and Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark, Center of Human Development and Aging, State University of New Jersey, Newark, NJ, USA and Institute of Regional Health Services Research, University of Southern Denmark and Odense Patient Data Explorative Network (OPEN), Odense University Hospital, Odense, Denmark Département de Médecine Gériatrique, CHU de Nancy, Nancy, France, INSERM, U1116, Vandoeuvre-les-Nancy, France, Université de Lorraine, Nancy, France, Department of Environmental Medicine, Universi
| | - Christine Dalgård
- Département de Médecine Gériatrique, CHU de Nancy, Nancy, France, INSERM, U1116, Vandoeuvre-les-Nancy, France, Université de Lorraine, Nancy, France, Department of Environmental Medicine, University of Southern Denmark, Odense, Denmark, Hebrew University-Hadassah School of Public Health and Community Medicine, Jerusalem, Israel, Centre for Behaviour and Neurosciences, University of Groningen, Groningen, The Netherlands, Danish Twin Registry, University of Southern Denmark, Odense, Denmark, Department of Clinical Genetics and Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark, Center of Human Development and Aging, State University of New Jersey, Newark, NJ, USA and Institute of Regional Health Services Research, University of Southern Denmark and Odense Patient Data Explorative Network (OPEN), Odense University Hospital, Odense, Denmark
| | - Carlos Labat
- Département de Médecine Gériatrique, CHU de Nancy, Nancy, France, INSERM, U1116, Vandoeuvre-les-Nancy, France, Université de Lorraine, Nancy, France, Department of Environmental Medicine, University of Southern Denmark, Odense, Denmark, Hebrew University-Hadassah School of Public Health and Community Medicine, Jerusalem, Israel, Centre for Behaviour and Neurosciences, University of Groningen, Groningen, The Netherlands, Danish Twin Registry, University of Southern Denmark, Odense, Denmark, Department of Clinical Genetics and Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark, Center of Human Development and Aging, State University of New Jersey, Newark, NJ, USA and Institute of Regional Health Services Research, University of Southern Denmark and Odense Patient Data Explorative Network (OPEN), Odense University Hospital, Odense, Denmark Département de Médecine Gériatrique, CHU de Nancy, Nancy, France, INSERM, U1116, Vandoeuvre-les-Nancy, France, Université de Lorraine, Nancy, France, Department of Environmental Medicine, University of Southern Denmark, Odense, Denmark, Hebrew University-Hadassah School of Public Health and Community Medicine, Jerusalem, Israel, Centre for Behaviour and Neurosciences, University of Groningen, Groningen, The Netherlands, Danish Twin Registry, University of Southern Denmark, Odense, Denmark, Department of Clinical Genetics and Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark, Center of Human Development and Aging, State University of New Jersey, Newark, NJ, USA and Institute of Regional Health Services Research, University of Southern Denmark and Odense Patient Data Explorative Network (OPEN), Odense University Hospital, Odense, Denmark
| | - Jeremy D Kark
- Département de Médecine Gériatrique, CHU de Nancy, Nancy, France, INSERM, U1116, Vandoeuvre-les-Nancy, France, Université de Lorraine, Nancy, France, Department of Environmental Medicine, University of Southern Denmark, Odense, Denmark, Hebrew University-Hadassah School of Public Health and Community Medicine, Jerusalem, Israel, Centre for Behaviour and Neurosciences, University of Groningen, Groningen, The Netherlands, Danish Twin Registry, University of Southern Denmark, Odense, Denmark, Department of Clinical Genetics and Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark, Center of Human Development and Aging, State University of New Jersey, Newark, NJ, USA and Institute of Regional Health Services Research, University of Southern Denmark and Odense Patient Data Explorative Network (OPEN), Odense University Hospital, Odense, Denmark
| | - Simon Verhulst
- Département de Médecine Gériatrique, CHU de Nancy, Nancy, France, INSERM, U1116, Vandoeuvre-les-Nancy, France, Université de Lorraine, Nancy, France, Department of Environmental Medicine, University of Southern Denmark, Odense, Denmark, Hebrew University-Hadassah School of Public Health and Community Medicine, Jerusalem, Israel, Centre for Behaviour and Neurosciences, University of Groningen, Groningen, The Netherlands, Danish Twin Registry, University of Southern Denmark, Odense, Denmark, Department of Clinical Genetics and Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark, Center of Human Development and Aging, State University of New Jersey, Newark, NJ, USA and Institute of Regional Health Services Research, University of Southern Denmark and Odense Patient Data Explorative Network (OPEN), Odense University Hospital, Odense, Denmark
| | - Kaare Christensen
- Département de Médecine Gériatrique, CHU de Nancy, Nancy, France, INSERM, U1116, Vandoeuvre-les-Nancy, France, Université de Lorraine, Nancy, France, Department of Environmental Medicine, University of Southern Denmark, Odense, Denmark, Hebrew University-Hadassah School of Public Health and Community Medicine, Jerusalem, Israel, Centre for Behaviour and Neurosciences, University of Groningen, Groningen, The Netherlands, Danish Twin Registry, University of Southern Denmark, Odense, Denmark, Department of Clinical Genetics and Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark, Center of Human Development and Aging, State University of New Jersey, Newark, NJ, USA and Institute of Regional Health Services Research, University of Southern Denmark and Odense Patient Data Explorative Network (OPEN), Odense University Hospital, Odense, Denmark Département de Médecine Gériatrique, CHU de Nancy, Nancy, France, INSERM, U1116, Vandoeuvre-les-Nancy, France, Université de Lorraine, Nancy, France, Department of Environmental Medicine, University of Southern Denmark, Odense, Denmark, Hebrew University-Hadassah School of Public Health and Community Medicine, Jerusalem, Israel, Centre for Behaviour and Neurosciences, University of Groningen, Groningen, The Netherlands, Danish Twin Registry, University of Southern Denmark, Odense, Denmark, Department of Clinical Genetics and Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark, Center of Human Development and Aging, State University of New Jersey, Newark, NJ, USA and Institute of Regional Health Services Research, University of Southern Denmark and Odense Patient Data Explorative Network (OPEN), Odense University Hospital, Odense, Denmark Département de Médecine Gériatrique, CHU de Nancy, Nancy, France, INSERM, U1116, Vandoeuvre-les-Nancy, France, Université de Lorraine, Nancy, France, Department of Environmental Medicine, Universi
| | - Masayuki Kimura
- Département de Médecine Gériatrique, CHU de Nancy, Nancy, France, INSERM, U1116, Vandoeuvre-les-Nancy, France, Université de Lorraine, Nancy, France, Department of Environmental Medicine, University of Southern Denmark, Odense, Denmark, Hebrew University-Hadassah School of Public Health and Community Medicine, Jerusalem, Israel, Centre for Behaviour and Neurosciences, University of Groningen, Groningen, The Netherlands, Danish Twin Registry, University of Southern Denmark, Odense, Denmark, Department of Clinical Genetics and Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark, Center of Human Development and Aging, State University of New Jersey, Newark, NJ, USA and Institute of Regional Health Services Research, University of Southern Denmark and Odense Patient Data Explorative Network (OPEN), Odense University Hospital, Odense, Denmark
| | - Kent Horvath
- Département de Médecine Gériatrique, CHU de Nancy, Nancy, France, INSERM, U1116, Vandoeuvre-les-Nancy, France, Université de Lorraine, Nancy, France, Department of Environmental Medicine, University of Southern Denmark, Odense, Denmark, Hebrew University-Hadassah School of Public Health and Community Medicine, Jerusalem, Israel, Centre for Behaviour and Neurosciences, University of Groningen, Groningen, The Netherlands, Danish Twin Registry, University of Southern Denmark, Odense, Denmark, Department of Clinical Genetics and Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark, Center of Human Development and Aging, State University of New Jersey, Newark, NJ, USA and Institute of Regional Health Services Research, University of Southern Denmark and Odense Patient Data Explorative Network (OPEN), Odense University Hospital, Odense, Denmark
| | - Kirsten Ohm Kyvik
- Département de Médecine Gériatrique, CHU de Nancy, Nancy, France, INSERM, U1116, Vandoeuvre-les-Nancy, France, Université de Lorraine, Nancy, France, Department of Environmental Medicine, University of Southern Denmark, Odense, Denmark, Hebrew University-Hadassah School of Public Health and Community Medicine, Jerusalem, Israel, Centre for Behaviour and Neurosciences, University of Groningen, Groningen, The Netherlands, Danish Twin Registry, University of Southern Denmark, Odense, Denmark, Department of Clinical Genetics and Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark, Center of Human Development and Aging, State University of New Jersey, Newark, NJ, USA and Institute of Regional Health Services Research, University of Southern Denmark and Odense Patient Data Explorative Network (OPEN), Odense University Hospital, Odense, Denmark
| | - Abraham Aviv
- Département de Médecine Gériatrique, CHU de Nancy, Nancy, France, INSERM, U1116, Vandoeuvre-les-Nancy, France, Université de Lorraine, Nancy, France, Department of Environmental Medicine, University of Southern Denmark, Odense, Denmark, Hebrew University-Hadassah School of Public Health and Community Medicine, Jerusalem, Israel, Centre for Behaviour and Neurosciences, University of Groningen, Groningen, The Netherlands, Danish Twin Registry, University of Southern Denmark, Odense, Denmark, Department of Clinical Genetics and Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark, Center of Human Development and Aging, State University of New Jersey, Newark, NJ, USA and Institute of Regional Health Services Research, University of Southern Denmark and Odense Patient Data Explorative Network (OPEN), Odense University Hospital, Odense, Denmark
| |
Collapse
|
320
|
Abstract
Studies on the determinants of physical activity have traditionally focused on social factors and environmental barriers, but recent research has shown the additional importance of biological factors, including genetic variation. Here we review the major tenets of this research to arrive at three major conclusions: First, individual differences in physical activity traits are significantly influenced by genetic factors, but genetic contribution varies strongly over age, with heritability of leisure time exercise behavior ranging from 27% to 84% and heritability of sedentary behaviors ranging from 9% to 48%. Second, candidate gene approaches based on animal or human QTLs or on biological relevance (e.g., dopaminergic or cannabinoid activity in the brain, or exercise performance influencing muscle physiology) have not yet yielded the necessary evidence to specify the genetic mechanisms underlying the heritability of physical activity traits. Third, there is significant genetic modulation of the beneficial effects of daily physical activity patterns on strength and endurance improvements and on health-related parameters like body mass index. Further increases in our understanding of the genetic determinants of sedentary and exercise behaviors as well as the genetic modulation of their effects on fitness and health will be key to meaningful future intervention on these behaviors.
Collapse
|
321
|
Sun Y, Gu J, Ajani JA, Chang DW, Wu X, Stroehlein JR. Genetic and intermediate phenotypic susceptibility markers of gastric cancer in Hispanic Americans: a case-control study. Cancer 2014; 120:3040-8. [PMID: 24962126 DOI: 10.1002/cncr.28792] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2014] [Revised: 03/27/2014] [Accepted: 04/01/2014] [Indexed: 12/12/2022]
Abstract
BACKGROUND Hispanics are the largest nonwhite ethnic group in the US population, and they have higher incidence and mortality rates for gastric cancer (GC) than whites and Asians. Studies have identified several genetic susceptibility loci and intermediate phenotypic biomarkers for GC in whites and Asians. No studies have evaluated genetic susceptibility and intermediate phenotypic biomarkers in Hispanics. METHODS In a case-control study of 132 Hispanic patients with GC (cases) and a control group of 125 Hispanics (controls), the authors evaluated the association of 5 single nucleotide polymorphisms (SNPs) that predispose whites and/or Asians to GC and of 2 intermediate phenotypic markers in peripheral blood leukocytes, ie, telomere length and mitochondrial DNA (mtDNA) copy number, with the GC risk. RESULTS The variant C allele of the reference SNP rs2294008 in the PSCA gene was associated with a significantly reduced risk of GC (per allele-adjusted odds ratio [aOR], 0.51; 95% confidence interval [CI], 0.33-0.77; P = .002). Leukocyte mtDNA copy numbers were significantly lower in GC cases (mean ± standard deviation, 0.91 ± 0.28) than in controls (1.29 ± 0.42; P < .001). When individuals were dichotomized into high and low mtDNA copy number groups based on the median mtDNA copy number value in the controls, those who had a low mtDNA copy number had a significantly increased risk of GC (aOR, 11.00; 95% CI, 4.79-25.23; P < .001) compared with those who had a high mtDNA copy number. Telomere length was not associated significantly with the risk of GC (aOR, 1.21; 95% CI, 0.65-2.27; P = .551). CONCLUSIONS Hispanics share certain genetic susceptibility loci and intermediate phenotypic GC biomarkers with whites and Asians and may also have distinct genetic susceptibility factors.
Collapse
Affiliation(s)
- Yuhui Sun
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas; Department of Obstetrics and Gynecology, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | | | | | | | | | | |
Collapse
|
322
|
Eitan E, Hutchison ER, Mattson MP. Telomere shortening in neurological disorders: an abundance of unanswered questions. Trends Neurosci 2014; 37:256-63. [PMID: 24698125 PMCID: PMC4008659 DOI: 10.1016/j.tins.2014.02.010] [Citation(s) in RCA: 108] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2014] [Revised: 02/24/2014] [Accepted: 02/25/2014] [Indexed: 11/24/2022]
Abstract
Telomeres, ribonucleoprotein complexes that cap eukaryotic chromosomes, typically shorten in leukocytes with aging. Aging is a primary risk factor for neurodegenerative disease (ND), and a common assumption has arisen that leukocyte telomere length (LTL) can serve as a predictor of neurological disease. However, the evidence for shorter LTL in Alzheimer's and Parkinson's patients is inconsistent. The diverse causes of telomere shortening may explain variability in LTL between studies and individuals. Additional research is needed to determine whether neuronal and glial telomeres shorten during aging and in neurodegenerative disorders, if and how LTL is related to brain cell telomere shortening, and whether telomere shortening plays a causal role in or exacerbates neurological disorders.
Collapse
Affiliation(s)
- Erez Eitan
- Laboratory of Neurosciences, National Institute on Aging Intramural Research Program, Baltimore, MD 21224, USA
| | - Emmette R Hutchison
- Laboratory of Neurosciences, National Institute on Aging Intramural Research Program, Baltimore, MD 21224, USA
| | - Mark P Mattson
- Laboratory of Neurosciences, National Institute on Aging Intramural Research Program, Baltimore, MD 21224, USA; Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
| |
Collapse
|
323
|
Boonekamp JJ, Mulder GA, Salomons HM, Dijkstra C, Verhulst S. Nestling telomere shortening, but not telomere length, reflects developmental stress and predicts survival in wild birds. Proc Biol Sci 2014; 281:20133287. [PMID: 24789893 DOI: 10.1098/rspb.2013.3287] [Citation(s) in RCA: 189] [Impact Index Per Article: 18.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Developmental stressors often have long-term fitness consequences, but linking offspring traits to fitness prospects has remained a challenge. Telomere length predicts mortality in adult birds, and may provide a link between developmental conditions and fitness prospects. Here, we examine the effects of manipulated brood size on growth, telomere dynamics and post-fledging survival in free-living jackdaws. Nestlings in enlarged broods achieved lower mass and lost 21% more telomere repeats relative to nestlings in reduced broods, showing that developmental stress accelerates telomere shortening. Adult telomere length was positively correlated with their telomere length as nestling (r = 0.83). Thus, an advantage of long telomeres in nestlings is carried through to adulthood. Nestling telomere shortening predicted post-fledging survival and recruitment independent of manipulation and fledgling mass. This effect was strong, with a threefold difference in recruitment probability over the telomere shortening range. By contrast, absolute telomere length was neither affected by brood size manipulation nor related to survival. We conclude that telomere loss, but not absolute telomere length, links developmental conditions to subsequent survival and suggest that telomere shortening may provide a key to unravelling the physiological causes of developmental effects on fitness.
Collapse
Affiliation(s)
- Jelle J Boonekamp
- Department of Behavioural Biology, University of Groningen, , PO Box 11103, Groningen 9700CC, The Netherlands
| | | | | | | | | |
Collapse
|
324
|
Possible technical and biological explanations for the 'parental telomere length inheritance discrepancy' enigma. Eur J Hum Genet 2014; 23:3-4. [PMID: 24755952 DOI: 10.1038/ejhg.2014.65] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
|
325
|
Ding Z, Mangino M, Aviv A, Spector T, Durbin R. Estimating telomere length from whole genome sequence data. Nucleic Acids Res 2014; 42:e75. [PMID: 24609383 PMCID: PMC4027178 DOI: 10.1093/nar/gku181] [Citation(s) in RCA: 109] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Telomeres play a key role in replicative ageing and undergo age-dependent attrition in vivo. Here, we report a novel method, TelSeq, to measure average telomere length from whole genome or exome shotgun sequence data. In 260 leukocyte samples, we show that TelSeq results correlate with Southern blot measurements of the mean length of terminal restriction fragments (mTRFs) and display age-dependent attrition comparably well as mTRFs.
Collapse
Affiliation(s)
- Zhihao Ding
- Genome Informatics, Wellcome Trust Sanger Institute, Hinxton, CB10 1SA, UK
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King's College London, London, WC2R 2LS, UK
| | - Abraham Aviv
- The Center for Human Development and Aging, New Jersey Medical School, Rutgers University, Newark, NJ 07103, USA
| | - Tim Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, WC2R 2LS, UK
| | - Richard Durbin
- Genome Informatics, Wellcome Trust Sanger Institute, Hinxton, CB10 1SA, UK
| | | |
Collapse
|
326
|
An integrative review of factors associated with telomere length and implications for biobehavioral research. Nurs Res 2014; 63:36-50. [PMID: 24335912 DOI: 10.1097/nnr.0000000000000009] [Citation(s) in RCA: 151] [Impact Index Per Article: 15.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Although telomere shortening occurs as a natural part of aging, there is now a robust body of research that suggests that there is a relationship between psychosocial, environmental, and behavioral factors and changes in telomere length. These factors need to be considered when integrating telomere measurement in biobehavioral research studies. OBJECTIVES This article provides a brief summary of the known facts about telomere biology and an integrative review of current human research studies that assessed relationships between psychosocial, environmental, or behavioral factors and telomere length. METHODS An integrative review was conducted to examine human research studies that focused on psychosocial, environmental, and behavioral factors affecting telomere length and telomerase activity using the electronic databases PubMed/Medline and CINAHL from 2003 to the present. In addition to the known individual factors that are associated with telomere length, the results of the integrative review suggest that perceived stress, childhood adversities, major depressive disorder, educational attainment, physical activity, and sleep duration should also be measured. DISCUSSION Multiple factors have been shown to affect telomere length. To advance understanding of the role of telomere length in health and disease risk, it will be important to further elucidate the mechanisms that contribute to telomere shortening.
Collapse
|
327
|
Lee JH, Cheng R, Honig LS, Feitosa M, Kammerer CM, Kang MS, Schupf N, Lin SJ, Sanders JL, Bae H, Druley T, Perls T, Christensen K, Province M, Mayeux R. Genome wide association and linkage analyses identified three loci-4q25, 17q23.2, and 10q11.21-associated with variation in leukocyte telomere length: the Long Life Family Study. Front Genet 2014; 4:310. [PMID: 24478790 PMCID: PMC3894567 DOI: 10.3389/fgene.2013.00310] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2013] [Accepted: 12/20/2013] [Indexed: 11/13/2022] Open
Abstract
Leukocyte telomere length is believed to measure cellular aging in humans, and short leukocyte telomere length is associated with increased risks of late onset diseases, including cardiovascular disease, dementia, etc. Many studies have shown that leukocyte telomere length is a heritable trait, and several candidate genes have been identified, including TERT, TERC, OBFC1, and CTC1. Unlike most studies that have focused on genetic causes of chronic diseases such as heart disease and diabetes in relation to leukocyte telomere length, the present study examined the genome to identify variants that may contribute to variation in leukocyte telomere length among families with exceptional longevity. From the genome wide association analysis in 4,289 LLFS participants, we identified a novel intergenic SNP rs7680468 located near PAPSS1 and DKK2 on 4q25 (p = 4.7E-8). From our linkage analysis, we identified two additional novel loci with HLOD scores exceeding three, including 4.77 for 17q23.2, and 4.36 for 10q11.21. These two loci harbor a number of novel candidate genes with SNPs, and our gene-wise association analysis identified multiple genes, including DCAF7, POLG2, CEP95, and SMURF2 at 17q23.2; and RASGEF1A, HNRNPF, ANF487, CSTF2T, and PRKG1 at 10q11.21. Among these genes, multiple SNPs were associated with leukocyte telomere length, but the strongest association was observed with one contiguous haplotype in CEP95 and SMURF2. We also show that three previously reported genes-TERC, MYNN, and OBFC1-were significantly associated with leukocyte telomere length at p empirical < 0.05.
Collapse
Affiliation(s)
- Joseph H Lee
- Sergievsky Center, College of Physicians and Surgeons, Columbia University New York, NY, USA ; Taub Institute, College of Physicians and Surgeons, Columbia University New York, NY, USA ; Department of Epidemiology, School of Public Health, Columbia University New York, NY, USA
| | - Rong Cheng
- Sergievsky Center, College of Physicians and Surgeons, Columbia University New York, NY, USA ; Taub Institute, College of Physicians and Surgeons, Columbia University New York, NY, USA
| | - Lawrence S Honig
- Sergievsky Center, College of Physicians and Surgeons, Columbia University New York, NY, USA ; Taub Institute, College of Physicians and Surgeons, Columbia University New York, NY, USA ; Department of Neurology, College of Physicians and Surgeons, Columbia University New York, NY, USA
| | - Mary Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine St. Louis, MO, USA
| | - Candace M Kammerer
- Department of Epidemiology, University of Pittsburgh Pittsburgh, PA, USA ; Department of Human Genetics, University of Pittsburgh Pittsburgh, PA, USA ; Center for Aging and Population Health, University of Pittsburgh Pittsburgh, PA, USA
| | - Min S Kang
- Taub Institute, College of Physicians and Surgeons, Columbia University New York, NY, USA
| | - Nicole Schupf
- Sergievsky Center, College of Physicians and Surgeons, Columbia University New York, NY, USA ; Taub Institute, College of Physicians and Surgeons, Columbia University New York, NY, USA ; Department of Epidemiology, School of Public Health, Columbia University New York, NY, USA ; Department of Psychiatry, College of Physicians and Surgeons, Columbia University New York, NY, USA
| | - Shiow J Lin
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine St. Louis, MO, USA
| | - Jason L Sanders
- Department of Epidemiology, University of Pittsburgh Pittsburgh, PA, USA ; Center for Aging and Population Health, University of Pittsburgh Pittsburgh, PA, USA
| | - Harold Bae
- Department of Biostatistics, Boston University Medical Center Boston, MA, USA
| | - Todd Druley
- Department of Pediatrics and Genetics, Washington University School of Medicine St. Louis, MO, USA
| | - Thomas Perls
- Department of Medicine, Boston University Medical Center Boston, MA, USA
| | - Kaare Christensen
- The Danish Aging Research Center, Epidemiology, University of Southern Denmark Odense, Denmark
| | - Michael Province
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine St. Louis, MO, USA
| | - Richard Mayeux
- Sergievsky Center, College of Physicians and Surgeons, Columbia University New York, NY, USA ; Taub Institute, College of Physicians and Surgeons, Columbia University New York, NY, USA ; Department of Epidemiology, School of Public Health, Columbia University New York, NY, USA ; Department of Neurology, College of Physicians and Surgeons, Columbia University New York, NY, USA ; Department of Psychiatry, College of Physicians and Surgeons, Columbia University New York, NY, USA
| |
Collapse
|
328
|
Deelen J, Beekman M, Codd V, Trompet S, Broer L, Hägg S, Fischer K, Thijssen PE, Suchiman HED, Postmus I, Uitterlinden AG, Hofman A, de Craen AJM, Metspalu A, Pedersen NL, van Duijn CM, Jukema JW, Houwing-Duistermaat JJ, Samani NJ, Slagboom PE. Leukocyte telomere length associates with prospective mortality independent of immune-related parameters and known genetic markers. Int J Epidemiol 2014; 43:878-86. [PMID: 24425829 PMCID: PMC4052133 DOI: 10.1093/ije/dyt267] [Citation(s) in RCA: 87] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Background: Human leukocyte telomere length (LTL) decreases with age and shorter LTL has previously been associated with increased prospective mortality. However, it is not clear whether LTL merely marks the health status of an individual by its association with parameters of immune function, for example, or whether telomere shortening also contributes causally to lifespan variation in humans. Methods: We measured LTL in 870 nonagenarian siblings (mean age 93 years), 1580 of their offspring and 725 spouses thereof (mean age 59 years) from the Leiden Longevity Study (LLS). Results: We found that shorter LTL is associated with increased prospective mortality in middle (30–80 years; hazard ratio (HR) = 0.75, P = 0.001) and highly advanced age (≥90 years; HR = 0.92, P = 0.028), and show that this association cannot be explained by the association of LTL with the immune-related markers insulin-like growth factor 1 to insulin-like growth factor binding protein 3 molar ratio, C-reactive protein, interleukin 6, cytomegalovirus serostatus or white blood cell counts. We found no difference in LTL between the middle-aged LLS offspring and their spouses (β = 0.006, P = 0.932). Neither did we observe an association of LTL-associated genetic variants with mortality in a prospective meta-analysis of multiple cohorts (n = 8165). Conclusions: We confirm LTL to be a marker of prospective mortality in middle and highly advanced age and additionally show that this association could not be explained by the association of LTL with various immune-related markers. Furthermore, the approaches performed here do not further support the hypothesis that LTL variation contributes to the genetic propensity for longevity.
Collapse
Affiliation(s)
- Joris Deelen
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The NetherlandsDepartment of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | - Marian Beekman
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The NetherlandsDepartment of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | - Veryan Codd
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | - Stella Trompet
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The NetherlandsDepartment of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The NetherlandsDepartment of Molecular Epidemiology, Leiden University Medica
| | - Linda Broer
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The NetherlandsDepartment of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | - Sara Hägg
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | - Krista Fischer
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | - Peter E Thijssen
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The NetherlandsDepartment of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | - H Eka D Suchiman
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | - Iris Postmus
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The NetherlandsDepartment of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | - André G Uitterlinden
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The NetherlandsDepartment of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The NetherlandsDepartment of Molecular Epidemiology, Leiden University Medica
| | - Albert Hofman
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | - Anton J M de Craen
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | - Andres Metspalu
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | - Nancy L Pedersen
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | - Cornelia M van Duijn
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The NetherlandsDepartment of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | - J Wouter Jukema
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The NetherlandsDepartment of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | - Jeanine J Houwing-Duistermaat
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | - Nilesh J Samani
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | - P Eline Slagboom
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The NetherlandsDepartment of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands, Netherlands Consortium for Healthy Ageing, Leiden University Medical Center, Leiden, The Netherlands, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK, Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands, Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, Estonian Genome Center, University of Tartu, Tartu, Estonia, Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands and Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| |
Collapse
|
329
|
Telomeres in molecular epidemiology studies. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2014; 125:113-31. [PMID: 24993700 DOI: 10.1016/b978-0-12-397898-1.00005-0] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Telomeres are long nucleotide repeats and protein complexes at the ends of chromosomes that are essential for maintaining chromosomal stability. They shorten with each cell division, and therefore, telomere length is a marker for cellular aging and senescence. Epidemiological research of telomeres investigates the role that these genetic structures have in disease risk and mortality in human populations. This chapter provides an overview of the current telomere epidemiology research and discusses approaches taken in these investigations. We also highlight important methodological considerations that may affect data interpretation.
Collapse
|
330
|
Bauch C, Becker PH, Verhulst S. Within the genome, long telomeres are more informative than short telomeres with respect to fitness components in a long-lived seabird. Mol Ecol 2013; 23:300-10. [DOI: 10.1111/mec.12602] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2013] [Revised: 10/22/2013] [Accepted: 10/30/2013] [Indexed: 01/09/2023]
Affiliation(s)
- Christina Bauch
- Institute of Avian Research “Vogelwarte Helgoland”; An der Vogelwarte 21 26386 Wilhelmshaven Germany
| | - Peter H. Becker
- Institute of Avian Research “Vogelwarte Helgoland”; An der Vogelwarte 21 26386 Wilhelmshaven Germany
| | - Simon Verhulst
- Behavioural Biology; Centre for Life Sciences; University of Groningen; PO Box 11103 9700 CC Groningen The Netherlands
| |
Collapse
|
331
|
Révész D, Verhoeven JE, Milaneschi Y, de Geus EJCN, Wolkowitz OM, Penninx BWJH. Dysregulated physiological stress systems and accelerated cellular aging. Neurobiol Aging 2013; 35:1422-30. [PMID: 24439483 DOI: 10.1016/j.neurobiolaging.2013.12.027] [Citation(s) in RCA: 70] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2013] [Revised: 12/20/2013] [Accepted: 12/23/2013] [Indexed: 12/13/2022]
Abstract
Exposure to chronic stressors is associated with accelerated biological aging as indicated by reduced leukocyte telomere length (LTL). This impact could be because of chronic overactivation of the body's physiological stress systems. This study examined the associations between LTL and the immune system, hypothalamic-pituitary-adrenal axis and autonomic nervous system. LTL was assessed in 2936 adults from the Netherlands Study of Depression and Anxiety. Inflammation markers (interleukin-6, c-reactive protein, tumor necrosis factor-alpha), hypothalamic-pituitary-adrenal-axis indicators (salivary cortisol awakening curve [area under the curve indicators, with respect to the ground and increase], evening levels, 0.5 mg dexamethasone cortisol suppression ratio), and autonomic nervous system measures (heart rate, respiratory sinus arrhythmia, pre-ejection period) were determined. Linear regression analyses were performed and adjusted for sociodemographic, lifestyle and clinical factors. Shorter LTL was significantly associated with higher c-reactive protein, interleukin-6, area under the curve with respect to increase, and heart rate. A cumulative index score was calculated based on the number of highest tertiles of these 4 stress markers. LTL demonstrated a significant gradient within subjects ranging from having zero (5528 base pairs) to having 4 elevated stress markers (5371 base pairs, p for trend = 0.002), corresponding to a difference of 10 years of accelerated biological aging. Contrary to the expectations, shorter LTL was also associated with longer pre-ejection period, indicating lower sympathetic tone. This large-scale study showed that inflammation, high awakening cortisol response, and increased heart rate are associated with shorter LTL, especially when they are dysregulated cumulatively.
Collapse
Affiliation(s)
- Dóra Révész
- Department of Psychiatry, EMGO Institute for Health and Care Institute, VU University Medical Center, Amsterdam, the Netherlands.
| | - Josine E Verhoeven
- Department of Psychiatry, EMGO Institute for Health and Care Institute, VU University Medical Center, Amsterdam, the Netherlands
| | - Yuri Milaneschi
- Department of Psychiatry, EMGO Institute for Health and Care Institute, VU University Medical Center, Amsterdam, the Netherlands
| | - Eco J C N de Geus
- Department of Biological Psychology, EMGO Institute for Health and Care Institute, VU University Medical Center, Amsterdam, the Netherlands
| | - Owen M Wolkowitz
- Department of Psychiatry, University of California San Francisco School of Medicine, San Francisco, CA, USA
| | - Brenda W J H Penninx
- Department of Psychiatry, EMGO Institute for Health and Care Institute, VU University Medical Center, Amsterdam, the Netherlands
| |
Collapse
|
332
|
|
333
|
Eisenberg DTA. Inconsistent inheritance of telomere length (TL): is offspring TL more strongly correlated with maternal or paternal TL? Eur J Hum Genet 2013; 22:8-9. [PMID: 24022299 DOI: 10.1038/ejhg.2013.202] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023] Open
Affiliation(s)
- Dan T A Eisenberg
- 1] Department of Anthropology, University of Washington, Seattle, WA, USA [2] Center for Studies in Demography and Ecology, University of Washington, Seattle, WA, USA
| |
Collapse
|
334
|
Nieratschker V, Lahtinen J, Meier S, Strohmaier J, Frank J, Heinrich A, Breuer R, Witt SH, Nöthen MM, Rietschel M, Hovatta I. Longer telomere length in patients with schizophrenia. Schizophr Res 2013; 149:116-20. [PMID: 23870621 DOI: 10.1016/j.schres.2013.06.043] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2013] [Revised: 06/02/2013] [Accepted: 06/29/2013] [Indexed: 10/26/2022]
Abstract
Previous studies have reported an association between shorter leukocyte telomere length and schizophrenia (SCZ). The aim of the present study was to replicate this finding in a large sample of SCZ patients (n=539) and population-based controls (n=519). In addition, the possible influence of SCZ severity on telomere length - as measured by age of onset, mode of onset, and course of the disorder - was investigated. Telomere length was negatively associated with age in both patients and controls. This is a consistently reported phenomenon, related to the problem of DNA end-replication. However, in contrast to previous findings, SCZ patients displayed longer telomeres compared to controls (p=0.015). No association was found with any SCZ-severity subphenotype. Interestingly, recent studies have reported associations between longer leukocyte telomere length and both smaller hippocampal volume, and poorer episodic memory performance. Both phenotypes are common in patients with SCZ. Further studies are warranted to investigate whether the present association between SCZ and increased telomere length was driven by such associations, or rather by association with the clinical disease per se or other associated phenotypes, endophenotypes or lifestyle factors.
Collapse
Affiliation(s)
- Vanessa Nieratschker
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, J 5, 68159 Mannheim, Germany.
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|
335
|
Teschendorff AE, West J, Beck S. Age-associated epigenetic drift: implications, and a case of epigenetic thrift? Hum Mol Genet 2013; 22:R7-R15. [PMID: 23918660 PMCID: PMC3782071 DOI: 10.1093/hmg/ddt375] [Citation(s) in RCA: 211] [Impact Index Per Article: 19.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
It is now well established that the genomic landscape of DNA methylation (DNAm) gets altered as a function of age, a process we here call ‘epigenetic drift’. The biological, functional, clinical and evolutionary significance of this epigenetic drift, however, remains unclear. We here provide a brief review of epigenetic drift, focusing on the potential implications for ageing, stem cell biology and disease risk prediction. It has been demonstrated that epigenetic drift affects most of the genome, suggesting a global deregulation of DNAm patterns with age. A component of this drift is tissue-specific, allowing remarkably accurate age-predictive models to be constructed. Another component is tissue-independent, targeting stem cell differentiation pathways and affecting stem cells, which may explain the observed decline of stem cell function with age. Age-associated increases in DNAm target developmental genes, overlapping those associated with environmental disease risk factors and with disease itself, notably cancer. In particular, cancers and precursor cancer lesions exhibit aggravated age DNAm signatures. Epigenetic drift is also influenced by genetic factors. Thus, drift emerges as a promising biomarker for premature or biological ageing, and could potentially be used in geriatrics for disease risk prediction. Finally, we propose, in the context of human evolution, that epigenetic drift may represent a case of epigenetic thrift, or bet-hedging. In summary, this review demonstrates the growing importance of the ‘ageing epigenome’, with potentially far-reaching implications for understanding the effect of age on stem cell function and differentiation, as well as for disease prevention.
Collapse
Affiliation(s)
- Andrew E. Teschendorff
- Statistical Cancer Genomics and
- Centre for Mathematics and Physics in the Life Sciences and Experimental Biology, University College London, London WC1E 6BT, UK
- To whom correspondence should be addressed.
| | - James West
- Statistical Cancer Genomics and
- Centre for Mathematics and Physics in the Life Sciences and Experimental Biology, University College London, London WC1E 6BT, UK
| | - Stephan Beck
- Medical Genomics, UCL Cancer Institute, University College London, Paul O'Gorman Building, 72 Huntley Street, London WC1E 6BT, UK and
| |
Collapse
|