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Spano L, Etain B, Laplanche JL, Leboyer M, Gard S, Bellivier F, Marie-Claire C. Telomere length and mitochondrial DNA copy number in bipolar disorder: A sibling study. World J Biol Psychiatry 2022; 24:449-456. [PMID: 36193690 DOI: 10.1080/15622975.2022.2131907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
OBJECTIVES An accelerated cellular ageing has been observed in bipolar disorder (BD) using biomarkers such as telomere length (TL) and mitochondrial DNA copy number (mtDNAcn). Several risk factors might drive premature ageing in individuals with BD, including a familial predisposition. This study compared TL and mtDNAcn between individuals with BD and their (un)-affected siblings, and explored factors that may explain proband-sibling differences. METHODS Sixty individuals with BD and seventy-four siblings (34 affected with BD or mood disorders and 40 unaffected) were included. Quantitative polymerase chain reaction (qPCR) was used to measure TL and mtDNAcn from peripheral blood genomic DNA. RESULTS TL and mtDNAcn did not significantly differ between probands and their siblings, whatever these latter were affected or not with mood disorders. However, the correlation plots of TL or mtDNAcn in proband-sibling pairs suggested that some pairs were discordant. The within proband-sibling pairs differences for TL and mtDNAcn were not explained by differences in all tested factors. CONCLUSIONS This study shows that probands with BD and their siblings are concordant for TL and mtDNAcn suggesting that they may share some environmental or genetic determinants of these two biomarkers of cellular ageing.
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Affiliation(s)
- Luana Spano
- Université Paris Cité, Inserm, Optimisation Thérapeutique en Neuropsychopharmacologie, Paris, France
| | - Bruno Etain
- Université Paris Cité, Inserm, Optimisation Thérapeutique en Neuropsychopharmacologie, Paris, France.,Département de Psychiatrie et de Médecine Addictologique, Hôpitaux Lariboisière-Fernand Widal, GHU APHP.Nord - Université de Paris, Paris, France.,Fondation Fondamental, Créteil, France
| | - Jean-Louis Laplanche
- Université Paris Cité, Inserm, Optimisation Thérapeutique en Neuropsychopharmacologie, Paris, France.,Département de Biochimie et Biologie Moléculaire, DMU BioGeM, Hôpitaux Lariboisière-Fernand Widal, GHU APHP.Nord - Université de Paris, Paris, France
| | - Marion Leboyer
- Fondation Fondamental, Créteil, France.,Université Paris Est Créteil, INSERM U955, IMRB, Translational Neuro-Psychiatry, Créteil, France.,AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d'Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), Créteil, France
| | - Sébastien Gard
- Fondation Fondamental, Créteil, France.,Pôle de Psychiatrie Générale et Universitaire, Centre Hospitalier Charles Perrens, Bordeaux, France
| | - Frank Bellivier
- Université Paris Cité, Inserm, Optimisation Thérapeutique en Neuropsychopharmacologie, Paris, France.,Département de Psychiatrie et de Médecine Addictologique, Hôpitaux Lariboisière-Fernand Widal, GHU APHP.Nord - Université de Paris, Paris, France
| | - Cynthia Marie-Claire
- Université Paris Cité, Inserm, Optimisation Thérapeutique en Neuropsychopharmacologie, Paris, France
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Isehunwa OO, Warner ET, Spiegelman D, Zhang Y, Palmer JR, Kanaya AM, Cole SA, Tworoger SS, Shields LO, Gu Y, Kent BV, De Vivo I, Shields AE. Depression, religiosity, and telomere length in the Study on Stress, Spirituality, and Health (SSSH). Int J Ment Health Addict 2022; 20:1465-1484. [PMID: 35747346 PMCID: PMC9211376 DOI: 10.1007/s11469-020-00455-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/22/2022] Open
Abstract
Prospective studies on the association between depression and telomere length have produced mixed results and have been largely limited to European ancestry populations. We examined the associations between depression and telomere length, and the modifying influence of religion and spirituality, in four cohorts, each representing a different race/ethnic population. Relative leukocyte telomere length (RTL) was measured by a quantitative polymerase chain reaction. Our result showed that depression was not associated with RTL (percent difference: 3.0 95% CI: -3.9, 10.5; p = 0.41; p-heterogeneity across studies = 0.67) overall or in cohort-specific analyses. However, in cohort-specific analyses, there was some evidence of effect modification by the extent of religiosity or spirituality, religious congregation membership, and group prayer. Further research is needed to investigate prospective associations between depression and telomere length, and the resources of resilience including dimensions of religion and spirituality that may impact such dynamics in diverse racial/ethnic populations.
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Affiliation(s)
- Oluwaseyi O. Isehunwa
- MGH/Harvard Center on Genomics, Vulnerable Populations, and Health Disparities, Mongan Institute, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA
| | - Erica T. Warner
- MGH/Harvard Center on Genomics, Vulnerable Populations, and Health Disparities, Mongan Institute, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA
- Clinical Translational Epidemiology Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Donna Spiegelman
- Department of Biostatistics and Global Health, Yale School of Public Health, New Haven, CT, USA; Center for Methods on Implementation and Prevention Science, Yale School of Public Health, New Haven, CT, USA; Department of Statistics and Data Science, Yale University, New Haven, CT, USA
| | - Ying Zhang
- MGH/Harvard Center on Genomics, Vulnerable Populations, and Health Disparities, Mongan Institute, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA
| | - Julie R. Palmer
- Slone Epidemiology Center, Boston University, Boston, MA, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Alka M. Kanaya
- Division of General Internal Medicine, University of California, San Francisco (UCSF), San Francisco, CA, USA
| | - Shelley A. Cole
- Population Health Program, Texas Biomedical Research Institute San Antonio, TX, USA
| | - Shelley S. Tworoger
- Department of Cancer Epidemiology, Moffitt Cancer Center and Research Institute, Tampa, FL, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | - Yue Gu
- MGH/Harvard Center on Genomics, Vulnerable Populations, and Health Disparities, Mongan Institute, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA
| | - Blake Victor Kent
- MGH/Harvard Center on Genomics, Vulnerable Populations, and Health Disparities, Mongan Institute, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA
| | - Immaculata De Vivo
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, MA, USA
| | - Alexandra E. Shields
- MGH/Harvard Center on Genomics, Vulnerable Populations, and Health Disparities, Mongan Institute, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA
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3
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Arévalo‐Flechas LC, Flores B“P, Wang H, Liang H, Li Y, Gelfond J, Espinoza S, Lewis SL, Musi N, Yeh C. Stress‐Busting Program for Family Caregivers: Validation of the Spanish version using biomarkers and quality‐of‐life measures. Res Nurs Health 2022; 45:205-217. [DOI: 10.1002/nur.22216] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 12/22/2021] [Accepted: 01/23/2022] [Indexed: 11/06/2022]
Affiliation(s)
- Lyda C. Arévalo‐Flechas
- Geriatric Research, Education & Clinical Center, Audie L. Murphy Division South Texas Veterans Health Care System San Antonio Texas USA
- Division of Geriatrics, Gerontology and Palliative Medicine The University of Texas Health Science Center at San Antonio San Antonio Texas USA
| | - Bertha “Penny” Flores
- Geriatric Research, Education & Clinical Center, Audie L. Murphy Division South Texas Veterans Health Care System San Antonio Texas USA
- School of Nursing The University of Texas Health Science Center at San Antonio San Antonio Texas USA
| | - Hanzhou Wang
- Department of Comprehensive Dentistry The University of Texas Health Science Center at San Antonio San Antonio Texas USA
| | - Hanyu Liang
- Barshop Institute for Longevity and Aging Studies The University of Texas Health Science Center at San Antonio San Antonio Texas USA
| | - Yan Li
- Barshop Institute for Longevity and Aging Studies The University of Texas Health Science Center at San Antonio San Antonio Texas USA
| | - Jonathan Gelfond
- Department of Population Health Sciences, Long School of Medicine The University of Texas Health Science Center at San Antonio San Antonio Texas USA
| | - Sara Espinoza
- Geriatric Research, Education & Clinical Center, Audie L. Murphy Division South Texas Veterans Health Care System San Antonio Texas USA
- Division of Geriatrics, Gerontology and Palliative Medicine The University of Texas Health Science Center at San Antonio San Antonio Texas USA
- Barshop Institute for Longevity and Aging Studies The University of Texas Health Science Center at San Antonio San Antonio Texas USA
| | - Sharon L. Lewis
- Geriatric Research, Education & Clinical Center, Audie L. Murphy Division South Texas Veterans Health Care System San Antonio Texas USA
| | - Nicolas Musi
- Geriatric Research, Education & Clinical Center, Audie L. Murphy Division South Texas Veterans Health Care System San Antonio Texas USA
- Barshop Institute for Longevity and Aging Studies The University of Texas Health Science Center at San Antonio San Antonio Texas USA
| | - Chih‐Ko Yeh
- Geriatric Research, Education & Clinical Center, Audie L. Murphy Division South Texas Veterans Health Care System San Antonio Texas USA
- Department of Comprehensive Dentistry The University of Texas Health Science Center at San Antonio San Antonio Texas USA
- Barshop Institute for Longevity and Aging Studies The University of Texas Health Science Center at San Antonio San Antonio Texas USA
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Brown DW, Lin SH, Loh PR, Chanock SJ, Savage SA, Machiela MJ. Genetically predicted telomere length is associated with clonal somatic copy number alterations in peripheral leukocytes. PLoS Genet 2020; 16:e1009078. [PMID: 33090998 PMCID: PMC7608979 DOI: 10.1371/journal.pgen.1009078] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Revised: 11/03/2020] [Accepted: 08/24/2020] [Indexed: 12/15/2022] Open
Abstract
Telomeres are DNA-protein structures at the ends of chromosomes essential in maintaining chromosomal stability. Observational studies have identified associations between telomeres and elevated cancer risk, including hematologic malignancies; but biologic mechanisms relating telomere length to cancer etiology remain unclear. Our study sought to better understand the relationship between telomere length and cancer risk by evaluating genetically-predicted telomere length (gTL) in relation to the presence of clonal somatic copy number alterations (SCNAs) in peripheral blood leukocytes. Genotyping array data were acquired from 431,507 participants in the UK Biobank and used to detect SCNAs from intensity information and infer telomere length using a polygenic risk score (PRS) of variants previously associated with leukocyte telomere length. In total, 15,236 (3.5%) of individuals had a detectable clonal SCNA on an autosomal chromosome. Overall, higher gTL value was positively associated with the presence of an autosomal SCNA (OR = 1.07, 95% CI = 1.05–1.09, P = 1.61×10−15). There was high consistency in effect estimates across strata of chromosomal event location (e.g., telomeric ends, interstitial or whole chromosome event; Phet = 0.37) and strata of copy number state (e.g., gain, loss, or neutral events; Phet = 0.05). Higher gTL value was associated with a greater cellular fraction of clones carrying autosomal SCNAs (β = 0.004, 95% CI = 0.002–0.007, P = 6.61×10−4). Our population-based examination of gTL and SCNAs suggests inherited components of telomere length do not preferentially impact autosomal SCNA event location or copy number status, but rather likely influence cellular replicative potential. Telomeres lie at the ends of chromosomes and protect from damage and chromosomal fusions. Recent studies have identified relationships between telomere length and cancer risk; however, exactly how telomere length impacts cancer risk is unknown. We investigated potential associations between telomere length and somatic copy number alterations (SCNAs), as SCNAs are associated with cancer risk and may be responsible for some of the observed association between telomere length and cancer. We analyzed blood-derived DNA from over 430,000 participants in a large UK based study and identified an association between elevated telomere length (as inferred from genetic variants) and increased frequency of SCNAs. We did not find any difference in the relationship between telomere length and SCNAs based on specific regions of chromosomes impacted or whether chromosomes were lost or gained. However, we did note that longer predicted telomere length is associated with higher proportions of cells containing a SCNA. Although further studies are needed, our results provide new evidence indicating SCNAs may be a potential mechanism by which telomere length could impact cancer risk.
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Affiliation(s)
- Derek W. Brown
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, United States of America
- Cancer Prevention Fellowship Program, Division of Cancer Prevention, National Cancer Institute, Rockville, MD, United States of America
- * E-mail:
| | - Shu-Hong Lin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, United States of America
| | - Po-Ru Loh
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, United States of America
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, United States of America
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, United States of America
| | - Sharon A. Savage
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, United States of America
| | - Mitchell J. Machiela
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, United States of America
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Abstract
PURPOSE OF REVIEW Clinical, epidemiological, and biological evidence raises the possibility that serious mental disorders (SMDs) are associated with accelerated biological aging. To the extent this is true; SMDs should not simply be considered in terms of mental illness or brain dysfunction, but also as 'whole body' and multisystem illnesses, or else as conditions with significant somatic concomitants. RECENT FINDINGS The concept of accelerated biological aging in SMDs is supported by reports of accelerated changes in certain biomarkers normally associated with the aging process. SUMMARY We define and discuss several proposed biological aging markers that have been examined in SMDs, we review the most recent findings, and we conclude with opinions regarding the merits and meanings of these markers, their usefulness in understanding and treating SMDs, and remaining questions and future directions in this area of research.
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Affiliation(s)
- F. Saverio Bersani
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
- Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco (UCSF) School of Medicine, San Francisco, USA
| | - Synthia H. Mellon
- Department of Obstetrics, Gynecology & Reproductive Sciences, University of California, San Francisco (UCSF) School of Medicine, San Francisco, USA
| | - Victor I. Reus
- Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco (UCSF) School of Medicine, San Francisco, USA
| | - Owen M. Wolkowitz
- Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco (UCSF) School of Medicine, San Francisco, USA
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Besteher B, Gaser C, Nenadić I. Machine-learning based brain age estimation in major depression showing no evidence of accelerated aging. Psychiatry Res Neuroimaging 2019; 290:1-4. [PMID: 31247471 DOI: 10.1016/j.pscychresns.2019.06.001] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Revised: 06/07/2019] [Accepted: 06/11/2019] [Indexed: 11/26/2022]
Abstract
Molecular biological findings indicate that affective disorders are associated with processes akin to accelerated aging of the brain. The use of the BrainAGE (brain age estimation gap) framework allows machine-learning based detection of a gap between age estimated from high-resolution MRI scans an chronological age, and thus an indicator of systems-level accelerated aging. We analysed 3T high-resolution structural MRI scans in 38 major depression patients (without co-morbid axis I or II disorders) and 40 healthy controls using the BrainAGE method to test the hypothesis of accelerated aging in (non-psychotic) major depression. We found no significant difference (or trend) for elevated BrainAGE in this pilot sample. Unlike previous findings in schizophrenia (and partially bipolar disorder), unipolar depression per se does not seem to be associated with accelerated aging patterns across the brain. However, given the limitations of the sample, further study is needed to test for effects in subgroups with comorbidities, as well as longitudinal designs.
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Affiliation(s)
- Bianca Besteher
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Philosophenweg 3, 07743 Jena, Germany.
| | - Christian Gaser
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Philosophenweg 3, 07743 Jena, Germany; Department of Neurology, Jena University Hospital, Jena, Germany
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg / Marburg University Hospital - UKGM, Marburg, Germany.
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Verhoeven JE, Penninx BWJH, Milaneschi Y. Unraveling the association between depression and telomere length using genomics. Psychoneuroendocrinology 2019; 102:121-127. [PMID: 30544003 DOI: 10.1016/j.psyneuen.2018.11.029] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Revised: 11/19/2018] [Accepted: 11/21/2018] [Indexed: 12/22/2022]
Abstract
OBJECTIVE While there is robust evidence for a cross-sectional association between depression and shorter telomere length, suggestive of advanced biological aging, the nature of this association remains unclear. Here, we tested whether both traits share a common genetic liability with novel methods using genomics. METHODS Data were from 2032 participants of the Netherlands Study of Depression and Anxiety (NESDA) with genome-wide genetic information and multiple waves of data on DSM-IV lifetime depression diagnosis, depression severity, neuroticism and telomere length. Polygenic risk scores (PRS) for both traits were built using summary results from the largest genome-wide association studies (GWAS) on depression (59,851 cases and 113,154 controls) and telomere length (37,684 samples). Additionally, a PRS for neuroticism was built (337,000 samples). Genetic overlap between the traits was tested using PRS for same- and cross-trait associations. Furthermore, GWAS summary statistics were used to estimate the genome-wide genetic correlation between traits. RESULTS In NESDA data, the PRS for depression was associated with lifetime depression (odds ratio = 1.36; p = 6.49e-7) and depression severity level (β = 0.13; p = 1.24e-8), but not with telomere length. Similar results were found for the PRS for neuroticism. Conversely, the PRS for telomere length was associated with telomere length (β = 0.07; p = 8.42e-4) and 6-year telomere length attrition rate (β = 0.04; p = 2.15e-2), but not with depression variables. In summary-level analyses, the genetic correlation between the traits was small and not significant (rg=-0.08; p = .300). CONCLUSION The use of genetic methods in this paper indicated that the established phenotypic association between telomere length and depression is unlikely due to shared underlying genetic vulnerability. Our findings suggest that short telomeres in depressed patients may simply represent a generic marker of disease or may originate from non-genetic environmental factors.
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Affiliation(s)
- Josine E Verhoeven
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Public Health Research Insitute, the Netherlands.
| | - Brenda W J H Penninx
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Public Health Research Insitute, the Netherlands
| | - Yuri Milaneschi
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Public Health Research Insitute, the Netherlands
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Squassina A, Pisanu C, Vanni R. Mood Disorders, Accelerated Aging, and Inflammation: Is the Link Hidden in Telomeres? Cells 2019; 8:cells8010052. [PMID: 30650526 PMCID: PMC6356466 DOI: 10.3390/cells8010052] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2018] [Revised: 01/10/2019] [Accepted: 01/12/2019] [Indexed: 12/26/2022] Open
Abstract
Mood disorders are associated with an increased risk of aging-related diseases, which greatly contribute to the excess morbidity and mortality observed in affected individuals. Clinical and molecular findings also suggest that mood disorders might be characterized by a permanent state of low-grade inflammation. At the cellular level, aging translates into telomeres shortening. Intriguingly, inflammation and telomere shortening show a bidirectional association: a pro-inflammatory state seems to contribute to aging and telomere dysfunction, and telomere attrition is able to induce low-grade inflammation. Several independent studies have reported shorter telomere length and increased levels of circulating inflammatory cytokines in mood disorders, suggesting a complex interplay between altered inflammatory–immune responses and telomere dynamics in the etiopathogenesis of these disorders. In this review, we critically discuss studies investigating the role of telomere attrition and inflammation in the pathogenesis and course of mood disorders, and in pharmacological treatments with psychotropic medications.
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Affiliation(s)
- Alessio Squassina
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, 09042 Monserrato Cagliari, Italy.
- Department of Psychiatry, Dalhousie University, Halifax, NS B3H 2E2, Canada.
| | - Claudia Pisanu
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, 09042 Monserrato Cagliari, Italy.
- Department of Neuroscience, Unit of Functional Pharmacology, Uppsala University, 752 39 Uppsala, Sweden.
| | - Roberta Vanni
- Department of Biomedical Sciences, Unit of Biology and Genetics, University of Cagliari, 09042 Monserrato Cagliari, Italy.
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