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Kleineidam L, Wagner M, Guski J, Wolfsgruber S, Miebach L, Bickel H, König HH, Weyerer S, Lühmann D, Kaduszkiewicz H, Luppa M, Röhr S, Pentzek M, Wiese B, Maier W, Scherer M, Kornhuber J, Peters O, Frölich L, Wiltfang J, Lewczuk P, Hüll M, Ramirez A, Jessen F, Riedel-Heller SG, Heser K. Disentangling the relationship of subjective cognitive decline and depressive symptoms in the development of cognitive decline and dementia. Alzheimers Dement 2022; 19:2056-2068. [PMID: 36218120 DOI: 10.1002/alz.12785] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 07/05/2022] [Accepted: 07/22/2022] [Indexed: 11/10/2022]
Abstract
INTRODUCTION Subjective cognitive decline (SCD) and depressive symptoms (DS) frequently co-occur prior to dementia. However, the temporal sequence of their emergence and their combined prognostic value for cognitive decline and dementia is unclear. METHODS Temporal relationships of SCD, DS and memory decline were examined by latent difference score modeling in a high-aged, population-based cohort (N = 3217) and validated using Cox-regression of dementia-conversion. In 334 cognitively unimpaired SCD-patients from memory-clinics, we examined the association of DS with cognitive decline and with cerebrospinal fluid (CSF) Alzheimer's disease (AD) biomarkers. RESULTS In the population-based cohort, SCD preceded DS. High DS were associated with increased risk of dementia conversion in individuals with SCD. In SCD-patients from memory-clinics, high DS were associated with greater cognitive decline. CSF Aß42 predicted increasing DS. DISCUSSION SCD typically precedes DS in the evolution to dementia. SCD-patients from memory-clinics with DS may constitute a high-risk group for cognitive decline. HIGHLIGHTS Subjective cognitive decline (SCD) precedes depressive symptoms (DS) as memory declines. Emerging or persistent DS after SCD reports predict dementia. In SCD patients, more amyloid pathology relates to increasing DS. SCD patients with DS are at high risk for symptomatic progression.
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Affiliation(s)
- Luca Kleineidam
- Department, of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany.,German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Michael Wagner
- Department, of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany.,German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Jannis Guski
- Department, of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
| | | | - Lisa Miebach
- Department, of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany.,German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Horst Bickel
- Department of Psychiatry, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Hans-Helmut König
- Department of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Siegfried Weyerer
- Central Institute of Mental Health, Medical Faculty, Mannheim/Heidelberg University, Heidelberg, Germany
| | - Dagmar Lühmann
- Department of Primary Medical Care, Center for Psychosocial Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Hanna Kaduszkiewicz
- Department of Primary Medical Care, Center for Psychosocial Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Institute of General Practice, Medical Faculty, University of Kiel, Kiel, Germany
| | - Melanie Luppa
- Institute of Social Medicine, Occupational Health and Public Health (ISAP), University of Leipzig, Leipzig, Germany
| | - Susanne Röhr
- Institute of Social Medicine, Occupational Health and Public Health (ISAP), University of Leipzig, Leipzig, Germany
| | - Michael Pentzek
- Institute of General Practice (ifam), Centre for Health and Society (chs), Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
| | - Birgitt Wiese
- Center for Information Management, Hannover Medical School, Hannover, Germany
| | - Wolfgang Maier
- Department, of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
| | - Martin Scherer
- Department of Primary Medical Care, Center for Psychosocial Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Johannes Kornhuber
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Erlangen, and Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Oliver Peters
- Department of Psychiatry, Charité - Universitätsmedizin Berlin, Berlin, Germany.,DZNE, German Center for Neurodegenerative Diseases, Berlin, Germany
| | - Lutz Frölich
- Department of Geriatric Psychiatry, Medical Faculty Mannheim, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany.,German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany.,Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
| | - Piotr Lewczuk
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Erlangen, and Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.,Department of Neurodegeneration Diagnostics, Medical University of Białystok, Białystok, Poland.,Department of Biochemical Diagnostics, University Hospital of Białystok, Białystok, Poland
| | - Michael Hüll
- Department of Psychiatry and Psychotherapy, University of Freiburg, and Clinic for Geriatric Psychiatry and Psychotherapy, Emmendingen, Germany
| | - Alfredo Ramirez
- Department, of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany.,German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Medical Faculty, University of Cologne, Cologne, Germany.,Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Germany.,Department of Psychiatry and Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, San Antonio, Texas, USA
| | - Frank Jessen
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Germany.,Department of Psychiatry and Psychotherapy, University of Cologne, Medical Faculty, Cologne, Germany
| | - Steffi G Riedel-Heller
- Institute of Social Medicine, Occupational Health and Public Health (ISAP), University of Leipzig, Leipzig, Germany
| | - Kathrin Heser
- Department, of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
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The Cannabis-Induced Epigenetic Regulation of Genes Associated with Major Depressive Disorder. Genes (Basel) 2022; 13:genes13081435. [PMID: 36011346 PMCID: PMC9407536 DOI: 10.3390/genes13081435] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 07/28/2022] [Accepted: 07/29/2022] [Indexed: 11/17/2022] Open
Abstract
The prevalence of depression is increasing worldwide, as is the number of people suffering from treatment-resistant depression; these patients constitute 30% of those treated. Unfortunately, there have not been significant advances in the treatment of this disorder in the past few decades. Exposure to cannabis and cannabis-derived compounds impacts depression symptomatology in different ways, with evidence indicating that cannabidiol has antidepressant effects; there have been mixed results with medical cannabis. Even though the exact molecular mechanisms of the action underlying changes in depression symptomatology upon exposure to cannabis and cannabis-derived compounds are still unknown, there is strong evidence that these agents have a widespread impact on epigenetic regulation. We hypothesized that exposure to cannabis or cannabis-derived compounds changes the DNA methylation levels of genes associated with depression. To test this hypothesis, we first performed a literature search to identify genes that are differentially methylated upon exposure to cannabis and cannabis-derived compounds, as reported in methylome-wide association studies. We next checked whether genes residing in loci associated with depression, as identified in the largest currently available genome-wide association study of depression, were reported to be epigenetically regulated by cannabis or cannabis-related compounds. Multiple genes residing in loci associated with depression were found to be epigenetically regulated by exposure to cannabis or cannabis-derived compounds. This epigenomic regulation of depression-associated genes by cannabis or cannabis-derived compounds was reported across diverse organisms, tissues, and developmental stages and occurred in genes crucial for neuronal development, functioning, survival, and synapse functioning, as well as in genes previously implicated in other mental disorders.
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DNA methylation of the KLK8 gene in depression symptomatology. Clin Epigenetics 2021; 13:200. [PMID: 34715912 PMCID: PMC8556955 DOI: 10.1186/s13148-021-01184-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 10/12/2021] [Indexed: 12/02/2022] Open
Abstract
Background Depression is a common, complex, and debilitating mental disorder estimated to be under-diagnosed and insufficiently treated in society. Liability to depression is influenced by both genetic and environmental risk factors, which are both capable of impacting DNA methylation (DNAm). Accordingly, numerous studies have researched for DNAm signatures of this disorder. Recently, an epigenome-wide association study of monozygotic twins identified an association between DNAm status in the KLK8 (neuropsin) promoter region and severity of depression symptomatology. Methods In this study, we aimed to investigate: (i) if blood DNAm levels, quantified by pyrosequencing, at two CpG sites in the KLK8 promoter are associated with depression symptomatology and depression diagnosis in an independent clinical cohort and (ii) if KLK8 DNAm levels are associated with depression, postpartum depression, and depression symptomatology in four independent methylomic cohorts, with blood and brain DNAm quantified by either MBD-seq or 450 k methylation array. Results DNAm levels in KLK8 were not significantly different between depression cases and controls, and were not significantly associated with any of the depression symptomatology scores after correction for multiple testing (minimum p value for KLK8 CpG1 = 0.12 for ‘Depressed mood,’ and for CpG2 = 0.03 for ‘Loss of self-confidence with other people’). However, investigation of the link between KLK8 promoter DNAm levels and depression-related phenotypes collected from four methylomic cohorts identified significant association (p value < 0.05) between severity of depression symptomatology and blood DNAm levels at seven CpG sites. Conclusions Our findings suggest that variance in blood DNAm levels in KLK8 promoter region is associated with severity of depression symptoms, but not depression diagnosis. Supplementary Information The online version contains supplementary material available at 10.1186/s13148-021-01184-5.
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Mohammadnejad A, Baumbach J, Li W, Lund J, Larsen MJ, Li S, Mengel-From J, Michel TM, Christiansen L, Christensen K, Hjelmborg J, Tan Q. Differential lncRNA expression profiling of cognitive function in middle and old aged monozygotic twins using generalized association analysis. J Psychiatr Res 2021; 140:197-204. [PMID: 34118637 DOI: 10.1016/j.jpsychires.2021.05.074] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 05/18/2021] [Accepted: 05/29/2021] [Indexed: 12/14/2022]
Abstract
Cognitive impairment is the most prominent symptom in neurodegenerative disorders affecting quality of life and mortality. However, despite years of research, the molecular mechanism underlying the regulation of cognitive function and its impairment is poorly understood. This study aims to elucidate the role of long non-coding RNAs (lncRNAs) expression and lncRNA-mRNA interaction networks, by analyzing lncRNA expression in whole blood samples of 400 middle and old aged monozygotic twins in association with cognitive function using both linear models and a generalized correlation coefficient (GCC) to capture the diverse patterns of correlation. We detected 13 probes (p < 1e-03) displaying nonlinear and 7 probes (p < 1e-03) showing linear correlations. After combining the results, we identified 20 lncRNA probes with p < 1e-03. The top lncRNA probes were annotated to genes, along with the non-coding MALAT1, that play roles in neurodegenerative diseases. The top lncRNAs were linked to functional clusters including peptidyl-glycine modification, vascular smooth muscle cells, mitotic spindle organization and protein tyrosine phosphatase. In addition, mapping of the top significant lncRNAs to the lncRNA-mRNA interaction network detected significantly enriched biological pathways involving neuroactive ligand-receptor interaction, proteasome and chemokines. We show that GCC served as a complementary approach in detecting lncRNAs missed by the conventional linear models. A combination of GCC and linear models identified lncRNAs of diverse patterns of association enriched for GO biological and molecular functions meaningful in cognitive performance and cognitive decline. The novel lncRNA regulatory network further contributed to detect significant pathways implicated in cognition.
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Affiliation(s)
- Afsaneh Mohammadnejad
- Unit of Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Denmark.
| | - Jan Baumbach
- Computational Biomedicine, Department of Mathematics and Computer Science, University of Southern Denmark, Denmark; Chair of Computational Systems Biology, University of Hamburg, Hamburg, Germany.
| | - Weilong Li
- Unit of Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Denmark.
| | - Jesper Lund
- Unit of Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Denmark.
| | - Martin J Larsen
- Unit of Human Genetics, Department of Clinical Research, University of Southern Denmark, Denmark; Department of Clinical Genetics, Odense University Hospital, Odense C, Denmark.
| | - Shuxia Li
- Unit of Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Denmark.
| | - Jonas Mengel-From
- Unit of Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Denmark; Unit of Human Genetics, Department of Clinical Research, University of Southern Denmark, Denmark.
| | - Tanja Maria Michel
- Department of Psychiatry, Department of Clinical Research, University of Southern Denmark, Odense, Denmark; Psychiatry in the Region of Southern Denmark, Odense University Hospital, Odense, Denmark; Brain Research - Inter-Disciplinary Guided Excellence, Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
| | - Lene Christiansen
- Unit of Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Denmark; Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
| | - Kaare Christensen
- Unit of Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Denmark; Unit of Human Genetics, Department of Clinical Research, University of Southern Denmark, Denmark.
| | - Jacob Hjelmborg
- Unit of Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Denmark.
| | - Qihua Tan
- Unit of Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Denmark; Unit of Human Genetics, Department of Clinical Research, University of Southern Denmark, Denmark.
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Mohammadnejad A, Li W, Lund JB, Li S, Larsen MJ, Mengel-From J, Michel TM, Christiansen L, Christensen K, Hjelmborg J, Baumbach J, Tan Q. Global Gene Expression Profiling and Transcription Factor Network Analysis of Cognitive Aging in Monozygotic Twins. Front Genet 2021; 12:675587. [PMID: 34194475 PMCID: PMC8236849 DOI: 10.3389/fgene.2021.675587] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 04/26/2021] [Indexed: 12/15/2022] Open
Abstract
Cognitive aging is one of the major problems worldwide, especially as people get older. This study aimed to perform global gene expression profiling of cognitive function to identify associated genes and pathways and a novel transcriptional regulatory network analysis to identify important regulons. We performed single transcript analysis on 400 monozygotic twins using an assumption-free generalized correlation coefficient (GCC), linear mixed-effect model (LME) and kinship model and identified six probes (one significant at the standard FDR < 0.05 while the other results were suggestive with 0.18 ≤ FDR ≤ 0.28). We combined the GCC and linear model results to cover diverse patterns of relationships, and meaningful and novel genes like APOBEC3G, H6PD, SLC45A1, GRIN3B, and PDE4D were detected. Our exploratory study showed the downregulation of all these genes with increasing cognitive function or vice versa except the SLC45A1 gene, which was upregulated with increasing cognitive function. Linear models found only H6PD and SLC45A1, the other genes were captured by GCC. Significant functional pathways (FDR < 3.95e-10) such as focal adhesion, ribosome, cysteine and methionine metabolism, Huntington's disease, eukaryotic translation elongation, nervous system development, influenza infection, metabolism of RNA, and cell cycle were identified. A total of five regulons (FDR< 1.3e-4) were enriched in a transcriptional regulatory analysis in which CTCF and REST were activated and SP3, SRF, and XBP1 were repressed regulons. The genome-wide transcription analysis using both assumption-free GCC and linear models identified important genes and biological pathways implicated in cognitive performance, cognitive aging, and neurological diseases. Also, the regulatory network analysis revealed significant activated and repressed regulons on cognitive function.
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Affiliation(s)
- Afsaneh Mohammadnejad
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Weilong Li
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark.,Population Research Unit, Faculty of Social Sciences, University of Helsinki, Helsinki, Finland
| | - Jesper Beltoft Lund
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark.,Digital Health & Machine Learning Research Group, Hasso Plattner Institute for Digital Engineering, Potsdam, Germany
| | - Shuxia Li
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Martin J Larsen
- Unit of Human Genetics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark.,Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
| | - Jonas Mengel-From
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark.,Unit of Human Genetics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Tanja Maria Michel
- Department of Psychiatry, Department of Clinical Research, University of Southern Denmark, Odense, Denmark.,Psychiatry in the Region of Southern Denmark, Odense University Hospital, Odense, Denmark.,Brain Research-Inter-Disciplinary Guided Excellence, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Lene Christiansen
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark.,Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Kaare Christensen
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark.,Unit of Human Genetics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Jacob Hjelmborg
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Jan Baumbach
- Computational Biomedicine, Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark.,Chair of Computational Systems Biology, University of Hamburg, Hamburg, Germany
| | - Qihua Tan
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark.,Unit of Human Genetics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
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Mohammadnejad A, Nygaard M, Li S, Zhang D, Xu C, Li W, Lund J, Christiansen L, Baumbach J, Christensen K, Hjelmborg JVB, Tan Q. Generalized correlation coefficient for genome-wide association analysis of cognitive ability in twins. Aging (Albany NY) 2020; 12:22457-22494. [PMID: 33232274 PMCID: PMC7746382 DOI: 10.18632/aging.104198] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Accepted: 09/29/2020] [Indexed: 12/19/2022]
Abstract
Despite a strong genetic background in cognitive function only a limited number of single nucleotide polymorphisms (SNPs) have been found in genome-wide association studies (GWASs). We hypothesize that this is partially due to mis-specified modeling concerning phenotype distribution as well as the relationship between SNP dosage and the level of the phenotype. To overcome these issues, we introduced an assumption-free method based on generalized correlation coefficient (GCC) in a GWAS of cognitive function in Danish and Chinese twins to compare its performance with traditional linear models. The GCC-based GWAS identified two significant SNPs in Danish samples (rs71419535, p = 1.47e-08; rs905838, p = 1.69e-08) and two significant SNPs in Chinese samples (rs2292999, p = 9.27e-10; rs17019635, p = 2.50e-09). In contrast, linear models failed to detect any genome-wide significant SNPs. The number of top significant genes overlapping between the two samples in the GCC-based GWAS was higher than when applying linear models. The GCC model identified significant genetic variants missed by conventional linear models, with more replicated genes and biological pathways related to cognitive function. Moreover, the GCC-based GWAS was robust in handling correlated samples like twin pairs. GCC is a useful statistical method for GWAS that complements traditional linear models for capturing genetic effects beyond the additive assumption.
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Affiliation(s)
- Afsaneh Mohammadnejad
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Marianne Nygaard
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Shuxia Li
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Dongfeng Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Qingdao University, Qingdao, China
| | - Chunsheng Xu
- Qingdao Center for Disease Control and Prevention, Qingdao, China
| | - Weilong Li
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Jesper Lund
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Lene Christiansen
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark.,Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Copenhagen Ø, Denmark
| | - Jan Baumbach
- Computational Biomedicine, Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark.,Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Munich, Germany
| | - Kaare Christensen
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark.,Unit of Human Genetics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Jacob V B Hjelmborg
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Qihua Tan
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark.,Unit of Human Genetics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
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Aichele S, Ghisletta P. Memory Deficits Precede Increases in Depressive Symptoms in Later Adulthood. J Gerontol B Psychol Sci Soc Sci 2020; 74:943-953. [PMID: 29385518 DOI: 10.1093/geronb/gbx183] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2017] [Accepted: 12/29/2017] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVES We examined bidirectional, time-ordered associations between age-related changes in depressive symptoms and memory. METHOD Data came from 107,599 community-dwelling adults, aged 49-90 years, who participated in the Survey of Health, Ageing, and Retirement in Europe (SHARE). Depressive symptoms were measured with the EURO-D inventory, and memory was evaluated as delayed recall of a 10-word list. Participants were assessed up to five times at 2-year intervals. Dynamic structural equation models were used to estimate longitudinal and time-ordered (lead-lag) relations between depressive symptoms and memory performance. RESULTS Depressive symptoms increased and memory scores decreased across the observed age range, with worsening mostly evident after age 62 years. These long-term changes were moderately negatively correlated (r = -.53, p < .001). A time-ordered effect emerged such that age-specific memory deficits preceded shorter-term increases in depression symptoms. This effect can be translated such that each 1-point decrement on a 10-point memory scale at a given age predicted a 14.5% increased risk for depression two years later. Statistical adjustment for covariates (sex, education, re-test, smoking, and body mass index) had little influence on these associations. CONCLUSION In later adulthood, lower memory performance at a given age predicts subsequent 2-year increases in depressive symptoms.
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Affiliation(s)
- Stephen Aichele
- Swiss National Center of Competence in Research LIVES-Overcoming vulnerability: Life course perspectives, Universities of Lausanne and of Geneva, Switzerland
| | - Paolo Ghisletta
- Swiss National Center of Competence in Research LIVES-Overcoming vulnerability: Life course perspectives, Universities of Lausanne and of Geneva, Switzerland.,Faculty of Psychology and Educational Sciences, University of Geneva, Switzerland.,Swiss Distance Learning University, Switzerland
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8
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Epigenome-wide association study of depression symptomatology in elderly monozygotic twins. Transl Psychiatry 2019; 9:214. [PMID: 31477683 PMCID: PMC6718679 DOI: 10.1038/s41398-019-0548-9] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Revised: 02/15/2019] [Accepted: 06/20/2019] [Indexed: 12/11/2022] Open
Abstract
Depression is a severe and debilitating mental disorder diagnosed by evaluation of affective, cognitive and physical depression symptoms. Severity of these symptoms strongly impacts individual's quality of life and is influenced by a combination of genetic and environmental factors. One of the molecular mechanisms allowing for an interplay between these factors is DNA methylation, an epigenetic modification playing a pivotal role in regulation of brain functioning across lifespan. The aim of this study was to investigate if there are DNA methylation signatures associated with depression symptomatology in order to identify molecular mechanisms contributing to pathophysiology of depression. We performed an epigenome-wide association study (EWAS) of continuous depression symptomatology score measured in a cohort of 724 monozygotic Danish twins (346 males, 378 females). Through EWAS analyses adjusted for sex, age, flow-cytometry based blood cell composition, and twin relatedness structure in the data we identified depression symptomatology score to be associated with blood DNA methylation levels in promoter regions of neuropsin (KLK8, p-value = 4.7 × 10-7) and DAZ associated protein 2 (DAZAP2, p-value = 3.13 × 10-8) genes. Other top associated probes were located in gene bodies of MAD1L1 (p-value = 5.16 × 10-6), SLC29A2 (p-value = 6.15 × 10-6) and AKT1 (p-value = 4.47 × 10-6), all genes associated before with development of depression. Additionally, the following three measures (a) DNAmAge (calculated with Horvath and Hannum epigenetic clock estimators) adjusted for chronological age, (b) difference between DNAmAge and chronological age, and (c) DNAmAge acceleration were not associated with depression symptomatology score in our cohort. In conclusion, our data suggests that depression symptomatology score is associated with DNA methylation levels of genes implicated in response to stress, depressive-like behaviors, and recurrent depression in patients, but not with global DNA methylation changes across the genome.
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Starnawska A, Tan Q, McGue M, Mors O, Børglum AD, Christensen K, Nyegaard M, Christiansen L. Epigenome-Wide Association Study of Cognitive Functioning in Middle-Aged Monozygotic Twins. Front Aging Neurosci 2017; 9:413. [PMID: 29311901 PMCID: PMC5733014 DOI: 10.3389/fnagi.2017.00413] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2017] [Accepted: 11/28/2017] [Indexed: 12/22/2022] Open
Abstract
As the world's population ages, the age-related cognitive decline presents a great challenge to world's healthcare systems. One of the molecular mechanisms implicated in cognitive ageing is DNA methylation, an epigenetic modification known to be a key player in memory formation, maintenance, and synaptic plasticity. Using the twin design we performed an epigenome-wide association study (EWAS) in a population of 486 middle-aged monozygotic twins (mean age at follow-up 65.9, SD = 6.1) and correlated their blood DNA methylation to their level (cross-sectional analysis) and change in cognitive abilities over 10 years (longitudinal analysis). We identified several CpG sites where cross-sectional cognitive functioning was associated with DNA methylation levels. The top identified loci were located in ZBTB46 (p = 5.84 × 10-7), and TAF12 (p = 4.91 × 10-7). KEGG's enrichment analyses of the most associated findings identified "Neuroactive ligand-receptor interaction" as the most enriched pathway (p = 0.0098). Change in cognitive functioning over 10 years was associated with DNA methylation levels in AGBL4 (p = 9.01 × 10-7) and SORBS1 (p = 5.28 × 10-6), with the first gene playing an important role in neuronal survival and the latter gene implicated before in Alzheimer's disease and ischemic stroke. Our findings point to an association between changes in DNA methylation of genes related to neuronal survival and change of cognitive functioning in aging individuals.
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Affiliation(s)
- Anna Starnawska
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- Center for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
| | - Qihua Tan
- The Danish Twin Registry, Institute of Public Health, University of Southern Denmark, Odense, Denmark
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
| | - Matt McGue
- The Danish Twin Registry, Institute of Public Health, University of Southern Denmark, Odense, Denmark
- Department of Psychology, University of Minnesota, Minneapolis, MN, United States
| | - Ole Mors
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Center for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
- Psychosis Research Unit, Aarhus University Hospital, Risskov, Denmark
| | - Anders D. Børglum
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- Center for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
| | - Kaare Christensen
- The Danish Twin Registry, Institute of Public Health, University of Southern Denmark, Odense, Denmark
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
- The Danish Aging Research Center, Institute of Public Health, University of Southern Denmark, Odense, Denmark
- Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark
| | - Mette Nyegaard
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- Center for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark
| | - Lene Christiansen
- The Danish Twin Registry, Institute of Public Health, University of Southern Denmark, Odense, Denmark
- The Danish Aging Research Center, Institute of Public Health, University of Southern Denmark, Odense, Denmark
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Hernandez R, Cheung E, Liao M, Boughton SW, Tito LG, Sarkisian C. The Association Between Depressive Symptoms and Cognitive Functioning in Older Hispanic/Latino Adults Enrolled in an Exercise Intervention: Results From the "¡Caminemos!" Study. J Aging Health 2017; 30:843-862. [PMID: 28553810 DOI: 10.1177/0898264317696776] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
OBJECTIVE We examined the association between depressive symptoms and cognitive functioning in older Hispanics/Latinos enrolled in an exercise intervention. METHOD We analyzed baseline, 1-year, and 2-year in-person interview data collected from Hispanics/Latinos aged ≥60 years participating in an exercise intervention across 27 senior centers ( N = 572). RESULTS Mean age was 73.13 years; 77% female. At baseline, older adults screening positive for depression were 1.58 times more likely to experience cognitive impairment ( p = .04); controlling for demographics and comorbid chronic conditions. Compared to peers with little to no depressive symptoms, lower cognitive functioning scores were evident at each follow-up assessment point where elevated depressive symptoms were present, but baseline depression was not associated with cognitive function in longitudinal analyses. DISCUSSION In older Hispanics/Latinos enrolled in an exercise intervention, though baseline depression did not predict cognitive function over time, elevated symptoms of depression were associated with greater cognitive impairment at every point in this study.
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Affiliation(s)
| | - Elaine Cheung
- 2 Northwestern University Weinberg College of Arts and Sciences, Chicago, IL, USA
| | - Minli Liao
- 3 Morgan State University, Baltimore, MD, USA
| | | | - Lisett G Tito
- 1 University of Illinois at Urbana-Champaign, IL, USA
| | - Catherine Sarkisian
- 4 David Geffen School of Medicine at UCLA, CA, USA.,5 VA Greater Los Angeles Healthcare System, CA, USA
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