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Pupillo F, Düzel S, Kühn S, Lindenberger U, Shing YL. Deficits in memory metacognitive efficiency in late adulthood are related to distinct brain profile. Memory 2024; 32:1286-1302. [PMID: 38635864 PMCID: PMC11552703 DOI: 10.1080/09658211.2024.2341711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 04/03/2024] [Indexed: 04/20/2024]
Abstract
The tendency of falsely remembering events that did not happen in the past increases with age. This is particularly evident in cases in which features presented at study are re-presented at test in a recombined constellation (termed rearranged pairs). Interestingly, older adults also express high confidence in such false memories, a tendency that may indicate reduced metacognitive efficiency. Within an existing cohort study, we aimed at investigating age-related differences in memory metacognitive efficiency (as measured by meta d' ratio) in a sample of 1522 older adults and 397 young adults. The analysis showed an age-related deficit in metacognition which was more pronounced for rearranged pairs than for new pairs. We then explored associations between cortical thickness and memory metacognitive efficiency for rearranged pairs in a subsample of 231 older adults. By using partial least square analysis, we found that a multivariate profile composed by ventromedial prefrontal cortex, insula, and parahippocampal cortex was uniquely associated with between-person differences in memory metacognitive efficiency. These results suggest that the impairment in memory metacognitive efficiency for false alarms is a distinct age-related deficit, above and beyond a general age-related decline in memory discrimination, and that it is associated with brain regions involved in metacognitive processes.
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Affiliation(s)
- Francesco Pupillo
- Department of Psychology, Goethe University Frankfurt, Frankfurt am Main, Germany
- TS Social and Behavioural Sciences, Tilburg University, Tilburg, Netherlands
| | - Sandra Düzel
- Friede Springer Cardiovascular Prevention Center @Charité, Berlin, Germany
| | - Simone Kühn
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, German
- Lise-Meitner Group for Environmental Neuroscience, Max Planck Institute for Human Development, Berlin, Germany
| | - Ulman Lindenberger
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, German
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Yee Lee Shing
- Department of Psychology, Goethe University Frankfurt, Frankfurt am Main, Germany
- IDeA Center for Individual Development and Adaptive Education, Frankfurt am Main, Germany
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2
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Ettienne EB, Grant-Kels JM, Striano P, Russo E, Neubauer D, Rose K. Pharmacogenomics and pediatric drug development: science and political power. A narrative review. Expert Opin Pharmacother 2024:1-7. [PMID: 39268964 DOI: 10.1080/14656566.2024.2401429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2024] [Accepted: 09/03/2024] [Indexed: 09/15/2024]
Abstract
INTRODUCTION Pharmacogenomics (PGx) investigates how genomes control enzyme expression. Developmental pharmacology (DP) describes the temporal sequence of enzymes impacting absorption, distribution, metabolism, and excretion (ADME) of food and drugs. AREAS COVERED US and European Union (EU) legislation facilitate and/or enforce pediatric studies for all new drugs, called overall 'pediatric drug development' (PDD). DP and PDD look at patients' chronological age, but oscillate between legal and physiological meanings of the term 'child.' Children's bodies become mature with puberty. EXPERT OPINION Decades after first DP observations in babies, PGx offers a better understanding of the variability of safety and efficacy of drugs, of the process of aging, and of shifting enzyme patterns across aging. We should rethink and revise outdated interpretations of ADME changes in minors. The Declaration of Helsinki forbids pointless studies that some pediatric researchers and regulatory agencies, more so the EMA than the FDA, demand pointless pediatric studies is regrettable. Medicine needs to differentiate between legal and physiological meanings of the term 'child' and should use objective measures of maturity.
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Affiliation(s)
| | - Jane M Grant-Kels
- Dermatology, Pathology, and Pediatric Dermatology, University of Connecticut Health Center, Farmington, USA
| | | | - Emilio Russo
- Pharmacology, University of Magna Graecia, Catanzaro, Italy
| | - David Neubauer
- Department of Child, Adolescent & Developmental Neurology, University Childrens' Hospital, Ljubljana, Slovenia
| | - Klaus Rose
- klausrose Consulting, Riehen, Switzerland
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3
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Ittermann T, von Rheinbaben S, Markus MRP, Dörr M, Steveling A, Nauck M, Teumer A, Gollasch M, Spira D, König M, Demuth I, Steinhagen-Thiessen E, Völzke H, Stracke S. High Thyroid-Stimulating Hormone and Low Free Triiodothyronine Levels Are Associated with Chronic Kidney Disease in Three Population-Based Studies from Germany. J Clin Med 2023; 12:5763. [PMID: 37685830 PMCID: PMC10489120 DOI: 10.3390/jcm12175763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 08/28/2023] [Accepted: 09/01/2023] [Indexed: 09/10/2023] Open
Abstract
High serum thyroid-stimulating hormone (TSH) levels have previously been associated with a low estimated glomerular filtration rate (eGFR), but studies associating thyroid hormone levels with albuminuria revealed inconsistent results. We used cross-sectional data from 7933 individuals aged 20 to 93 years of the Berlin Aging Study II and the Study of Health in Pomerania to associate serum TSH, fT3, and fT4 levels with eGFR and albuminuria. In multivariable analyses adjusted for confounding, we found inverse non-linear associations of serum TSH levels with eGFR, while serum fT3 levels showed a positive association with eGFR. High as well as low serum fT4 levels were associated with a lower eGFR. Age but not sex modified the association between thyroid hormone levels and eGFR. The inverse associations between serum TSH levels and eGFR were strongest in the youngest age groups, while the positive associations between serum fT3 levels and eGFR were strongest in older individuals. No significant associations between thyroid hormone levels and albuminuria were found. Our results indicate that hypothyroidism might be associated with a reduced kidney function. Thyroid function might be more tightly related to the eGFR than to albuminuria in the general population.
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Affiliation(s)
- Till Ittermann
- Institute for Community Medicine—SHIP Clinical-Epidemiological Research, University Medicine Greifswald, 17475 Greifswald, Germany;
| | - Sabrina von Rheinbaben
- Department of Medicine A—Gastroenterology, Nephrology, Endocrinology and Rheumatology, University Medicine Greifswald, 17475 Greifswald, Germany; (S.v.R.); (A.S.); (S.S.)
| | - Marcello R. P. Markus
- Department of Internal Medicine B—Cardiology, Intensive Care, Pulmonary Medicine and Infectious Diseases, University Medicine Greifswald, 17475 Greifswald, Germany; (M.R.P.M.); (M.D.)
| | - Marcus Dörr
- Department of Internal Medicine B—Cardiology, Intensive Care, Pulmonary Medicine and Infectious Diseases, University Medicine Greifswald, 17475 Greifswald, Germany; (M.R.P.M.); (M.D.)
- DZHK (German Center for Cardiovascular Research), Partner Site Greifswald, 17475 Greifswald, Germany; (M.N.); (A.T.)
| | - Antje Steveling
- Department of Medicine A—Gastroenterology, Nephrology, Endocrinology and Rheumatology, University Medicine Greifswald, 17475 Greifswald, Germany; (S.v.R.); (A.S.); (S.S.)
| | - Matthias Nauck
- DZHK (German Center for Cardiovascular Research), Partner Site Greifswald, 17475 Greifswald, Germany; (M.N.); (A.T.)
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, 17475 Greifswald, Germany
| | - Alexander Teumer
- DZHK (German Center for Cardiovascular Research), Partner Site Greifswald, 17475 Greifswald, Germany; (M.N.); (A.T.)
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, 17475 Greifswald, Germany
| | - Maik Gollasch
- Department of Internal Medicine and Geriatrics, University Medicine Greifswald, 17475 Greifswald, Germany; (M.G.); (M.K.)
| | - Dominik Spira
- Department of Endocrinology and Metabolism, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 13353 Berlin, Germany; (D.S.); (I.D.); (E.S.-T.)
| | - Maximilian König
- Department of Internal Medicine and Geriatrics, University Medicine Greifswald, 17475 Greifswald, Germany; (M.G.); (M.K.)
| | - Ilja Demuth
- Department of Endocrinology and Metabolism, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 13353 Berlin, Germany; (D.S.); (I.D.); (E.S.-T.)
- BCRT—Berlin Institute of Health Center for Regenerative Therapies, Charité—Universitätsmedizin Berlin, 13353 Berlin, Germany
| | - Elisabeth Steinhagen-Thiessen
- Department of Endocrinology and Metabolism, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 13353 Berlin, Germany; (D.S.); (I.D.); (E.S.-T.)
| | - Henry Völzke
- Institute for Community Medicine—SHIP Clinical-Epidemiological Research, University Medicine Greifswald, 17475 Greifswald, Germany;
| | - Sylvia Stracke
- Department of Medicine A—Gastroenterology, Nephrology, Endocrinology and Rheumatology, University Medicine Greifswald, 17475 Greifswald, Germany; (S.v.R.); (A.S.); (S.S.)
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Dahl MJ, Bachman SL, Dutt S, Düzel S, Bodammer NC, Lindenberger U, Kühn S, Werkle-Bergner M, Mather M. The integrity of dopaminergic and noradrenergic brain regions is associated with different aspects of late-life memory performance. NATURE AGING 2023; 3:1128-1143. [PMID: 37653256 PMCID: PMC10501910 DOI: 10.1038/s43587-023-00469-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 07/14/2023] [Indexed: 09/02/2023]
Abstract
Changes in dopaminergic neuromodulation play a key role in adult memory decline. Recent research has also implicated noradrenaline in shaping late-life memory. However, it is unclear whether these two neuromodulators have distinct roles in age-related cognitive changes. Here, combining longitudinal MRI of the dopaminergic substantia nigra-ventral tegmental area (SN-VTA) and noradrenergic locus coeruleus (LC) in younger (n = 69) and older (n = 251) adults, we found that dopaminergic and noradrenergic integrity are differentially associated with memory performance. While LC integrity was related to better episodic memory across several tasks, SN-VTA integrity was linked to working memory. Longitudinally, we found that older age was associated with more negative change in SN-VTA and LC integrity. Notably, changes in LC integrity reliably predicted future episodic memory. These differential associations of dopaminergic and noradrenergic nuclei with late-life cognitive decline have potential clinical utility, given their degeneration in several age-associated diseases.
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Affiliation(s)
- Martin J Dahl
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA.
| | - Shelby L Bachman
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Shubir Dutt
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - Sandra Düzel
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Nils C Bodammer
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, London, UK
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany
| | - Simone Kühn
- Lise Meitner Group for Environmental Neuroscience, Max Planck Institute for Human Development, Berlin, Germany
- Department of Psychiatry and Psychotherapy, University Clinic Hamburg-Eppendorf, Hamburg, Germany
| | - Markus Werkle-Bergner
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Mara Mather
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
- Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA
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5
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Demircan K, Hybsier S, Chillon TS, Vetter VM, Rijntjes E, Demuth I, Schomburg L. Sex-specific associations of serum selenium and selenoprotein P with type 2 diabetes mellitus and hypertension in the Berlin Aging Study II. Redox Biol 2023; 65:102823. [PMID: 37516012 PMCID: PMC10405093 DOI: 10.1016/j.redox.2023.102823] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 07/20/2023] [Accepted: 07/20/2023] [Indexed: 07/31/2023] Open
Abstract
BACKGROUND Selenium is essential for expression and proper function of a set of redox active selenoproteins implicated in aging-relevant diseases, e.g. type 2 diabetes mellitus (T2D) and hypertension. However, data in cohorts of older adults, particularly with respect to different Se biomarkers and sex-specific analyses are sparse. OBJECTIVE To assess associations of serum Se and selenoprotein P (SELENOP) concentrations with T2D and hypertension in a cohort of older females and males. METHODS This study included 1500 participants from the Berlin Aging Study II. Diagnosis of T2D was made in case of antidiabetic medication, self-reported T2D, or laboratory parameters. Diagnosis of hypertension was based on self-report, blood pressure measurement, or anti-hypertensive medication. Se was measured by spectroscopy, and SELENOP by ELISA. Multiple adjusted regression models quantified dose-dependent associations. RESULTS Participants had a median(IQR) age of 68 (65,71) years, and 767 (51%) were women. 191 (13%) participants had T2D and 1126 (75%) had hypertension. Se and SELENOP correlated significantly (r = 0.59, p < 0.001), and were elevated in those with self-reported Se supplementation. Serum Se and SELENOP were not associated with T2D in the whole cohort. In men, SELENOP was positively associated with T2D, OR (95%CI) for one mg/L increase in SELENOP was 1.22 (1.00,1.48). Se was non-linearly associated with hypertension, comparing to the lowest quartile (Q1), and participants with higher Se levels (Q3) had a lower OR (95%CI) of 0.66 (0.45,0.96), which was specific for men. SELENOP positively associated with hypertension, and OR (95%CI) per one mg/L increase was 1.15 (1.01,1.32). CONCLUSIONS The data suggest a sex-specific interrelationship of Se status with T2D and hypertension, with apparent biomarker-specific associations.
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Affiliation(s)
- Kamil Demircan
- Institute for Experimental Endocrinology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Max Rubner Center (MRC) for Cardiovascular Metabolic Renal Research, D-10115, Berlin, Germany
| | - Sandra Hybsier
- Institute for Experimental Endocrinology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Max Rubner Center (MRC) for Cardiovascular Metabolic Renal Research, D-10115, Berlin, Germany
| | - Thilo Samson Chillon
- Institute for Experimental Endocrinology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Max Rubner Center (MRC) for Cardiovascular Metabolic Renal Research, D-10115, Berlin, Germany
| | - Valentin Max Vetter
- Department of Endocrinology and Metabolic Diseases (including Division of Lipid Metabolism), Biology of Aging Working Group, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, And Berlin Institute of Health (BIH), Berlin, Germany
| | - Eddy Rijntjes
- Institute for Experimental Endocrinology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Max Rubner Center (MRC) for Cardiovascular Metabolic Renal Research, D-10115, Berlin, Germany
| | - Ilja Demuth
- Department of Endocrinology and Metabolic Diseases (including Division of Lipid Metabolism), Biology of Aging Working Group, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, And Berlin Institute of Health (BIH), Berlin, Germany.
| | - Lutz Schomburg
- Institute for Experimental Endocrinology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Max Rubner Center (MRC) for Cardiovascular Metabolic Renal Research, D-10115, Berlin, Germany.
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Fjell AM, Sørensen Ø, Wang Y, Amlien IK, Baaré WFC, Bartrés-Faz D, Boraxbekk CJ, Brandmaier AM, Demuth I, Drevon CA, Ebmeier KP, Ghisletta P, Kievit R, Kühn S, Madsen KS, Nyberg L, Solé-Padullés C, Vidal-Piñeiro D, Wagner G, Watne LO, Walhovd KB. Is Short Sleep Bad for the Brain? Brain Structure and Cognitive Function in Short Sleepers. J Neurosci 2023; 43:5241-5250. [PMID: 37365003 PMCID: PMC10342221 DOI: 10.1523/jneurosci.2330-22.2023] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 05/01/2023] [Accepted: 05/08/2023] [Indexed: 06/28/2023] Open
Abstract
Many sleep less than recommended without experiencing daytime sleepiness. According to prevailing views, short sleep increases risk of lower brain health and cognitive function. Chronic mild sleep deprivation could cause undetected sleep debt, negatively affecting cognitive function and brain health. However, it is possible that some have less sleep need and are more resistant to negative effects of sleep loss. We investigated this using a cross-sectional and longitudinal sample of 47,029 participants of both sexes (20-89 years) from the Lifebrain consortium, Human Connectome project (HCP) and UK Biobank (UKB), with measures of self-reported sleep, including 51,295 MRIs of the brain and cognitive tests. A total of 740 participants who reported to sleep <6 h did not experience daytime sleepiness or sleep problems/disturbances interfering with falling or staying asleep. These short sleepers showed significantly larger regional brain volumes than both short sleepers with daytime sleepiness and sleep problems (n = 1742) and participants sleeping the recommended 7-8 h (n = 3886). However, both groups of short sleepers showed slightly lower general cognitive function (GCA), 0.16 and 0.19 SDs, respectively. Analyses using accelerometer-estimated sleep duration confirmed the findings, and the associations remained after controlling for body mass index, depression symptoms, income, and education. The results suggest that some people can cope with less sleep without obvious negative associations with brain morphometry and that sleepiness and sleep problems may be more related to brain structural differences than duration. However, the slightly lower performance on tests of general cognitive abilities warrants closer examination in natural settings.SIGNIFICANCE STATEMENT Short habitual sleep is prevalent, with unknown consequences for brain health and cognitive performance. Here, we show that daytime sleepiness and sleep problems are more strongly related to regional brain volumes than sleep duration. However, participants sleeping ≤6 h had slightly lower scores on tests of general cognitive function (GCA). This indicates that sleep need is individual and that sleep duration per se is very weakly if at all related brain health, while daytime sleepiness and sleep problems may show somewhat stronger associations. The association between habitual short sleep and lower scores on tests of general cognitive abilities must be further scrutinized in natural settings.
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Affiliation(s)
- Anders M Fjell
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0373 Oslo, Norway
- Computational Radiology and Artificial Intelligence, Department of Radiology and Nuclear Medicine, Oslo University Hospital, 0424 Oslo, Norway
| | - Øystein Sørensen
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0373 Oslo, Norway
| | - Yunpeng Wang
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0373 Oslo, Norway
| | - Inge K Amlien
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0373 Oslo, Norway
| | - William F C Baaré
- Danish Research Centre for Magnetic Resonance (DRCMR), Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital-Amager and Hvidovre, 2650 Hvidovre, Copenhagen, Denmark
| | - David Bartrés-Faz
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, and Institut de Neurociències, Universitat de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain
| | - Carl-Johan Boraxbekk
- Danish Research Centre for Magnetic Resonance (DRCMR), Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital-Amager and Hvidovre, 2650 Hvidovre, Copenhagen, Denmark
- Umeå Center for Functional Brain Imaging, Umeå University, 907 36 Umeå, Sweden
- Department of Radiation Sciences, Diagnostic Radiology, Umeå University, 907 36 Umeå, Sweden
- Institute of Sports Medicine Copenhagen (ISMC), Copenhagen University Hospital Bispebjerg, 2400 Copenhagen, Denmark
- Institute for Clinical Medicine, Faculty of Medical and Health Sciences, University of Copenhagen, 2020 Copenhagen, Denmark
| | - Andreas M Brandmaier
- Center for Lifespan Psychology, Max Planck Institute for Human Development, 14195 Berlin, Germany
- Department of Psychology, MSB Medical School Berlin, Berlin, Germany
| | - Ilja Demuth
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Endocrinology and Metabolic Diseases (including Division of Lipid Metabolism), Biology of Aging working group, Augustenburger Platz 1, 13353 Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, 10178 Berlin, Germany
- BCRT - Berlin Institute of Health Center for Regenerative Therapies, 13353 Berlin, Germany
| | - Christian A Drevon
- Vitas AS, The Science Park, 0349 Oslo, Norway
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of 0372 Oslo, Norway
| | - Klaus P Ebmeier
- Department of Psychiatry, University of Oxford, Oxford OX3 7JX, United Kingdom
| | - Paolo Ghisletta
- Faculty of Psychology and Educational Sciences, University of Geneva, 1205 Geneva, Switzerland
- UniDistance Suisse, 3900 Brig, Switzerland
- Swiss National Centre of Competence in Research LIVES, University of Geneva, 1205 Geneva, Switzerland
| | - Rogier Kievit
- Cognitive Neuroscience Department, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Simone Kühn
- Center for Lifespan Psychology, Max Planck Institute for Human Development, 14195 Berlin, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany
| | - Kathrine Skak Madsen
- Danish Research Centre for Magnetic Resonance (DRCMR), Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital-Amager and Hvidovre, 2650 Hvidovre, Copenhagen, Denmark
- Radiography, Department of Technology, University College Copenhagen, 1799 Copenhagen, Denmark
| | - Lars Nyberg
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0373 Oslo, Norway
- Umeå Center for Functional Brain Imaging, Umeå University, 907 36 Umeå, Sweden
| | - Cristina Solé-Padullés
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, and Institut de Neurociències, Universitat de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain
| | - Didac Vidal-Piñeiro
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0373 Oslo, Norway
| | - Gerd Wagner
- Department of Psychiatry and Psychotherapy, Jena University Hospital, 07743 Jena, Germany
| | - Leiv Otto Watne
- Oslo Delirium Research Group, Oslo University Hospital, 0424 Oslo, Norway
- Department of Geriatric Medicine, Akershus University Hospital, 1478 Lørenskog, Norway
- Institute of Clinical Medicine, Campus Ahus, University of Oslo, 1478, Lørenskog, Norway
| | - Kristine B Walhovd
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0373 Oslo, Norway
- Computational Radiology and Artificial Intelligence, Department of Radiology and Nuclear Medicine, Oslo University Hospital, 0424 Oslo, Norway
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7
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Sommerer Y, Dobricic V, Schilling M, Ohlei O, Bartrés-Faz D, Cattaneo G, Demuth I, Düzel S, Franzenburg S, Fuß J, Lindenberger U, Pascual-Leone Á, Sabet SS, Solé-Padullés C, Tormos JM, Vetter VM, Wesse T, Franke A, Lill CM, Bertram L. Epigenome-Wide Association Study in Peripheral Tissues Highlights DNA Methylation Profiles Associated with Episodic Memory Performance in Humans. Biomedicines 2022; 10:2798. [PMID: 36359320 PMCID: PMC9687249 DOI: 10.3390/biomedicines10112798] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 10/24/2022] [Accepted: 10/26/2022] [Indexed: 11/06/2022] Open
Abstract
The decline in episodic memory (EM) performance is a hallmark of cognitive aging and an early clinical sign in Alzheimer’s disease (AD). In this study, we conducted an epigenome-wide association study (EWAS) using DNA methylation (DNAm) profiles from buccal and blood samples for cross-sectional (n = 1019) and longitudinal changes in EM performance (n = 626; average follow-up time 5.4 years) collected under the auspices of the Lifebrain consortium project. The mean age of participants with cross-sectional data was 69 ± 11 years (30−90 years), with 50% being females. We identified 21 loci showing suggestive evidence of association (p < 1 × 10−5) with either or both EM phenotypes. Among these were SNCA, SEPW1 (both cross-sectional EM), ITPK1 (longitudinal EM), and APBA2 (both EM traits), which have been linked to AD or Parkinson’s disease (PD) in previous work. While the EM phenotypes were nominally significantly (p < 0.05) associated with poly-epigenetic scores (PESs) using EWASs on general cognitive function, none remained significant after correction for multiple testing. Likewise, estimating the degree of “epigenetic age acceleration” did not reveal significant associations with either of the two tested EM phenotypes. In summary, our study highlights several interesting candidate loci in which differential DNAm patterns in peripheral tissue are associated with EM performance in humans.
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Affiliation(s)
- Yasmine Sommerer
- Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), University of Lübeck, Ratzeburger Allee 160, 23562 Lübeck, Germany
| | - Valerija Dobricic
- Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), University of Lübeck, Ratzeburger Allee 160, 23562 Lübeck, Germany
| | - Marcel Schilling
- Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), University of Lübeck, Ratzeburger Allee 160, 23562 Lübeck, Germany
| | - Olena Ohlei
- Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), University of Lübeck, Ratzeburger Allee 160, 23562 Lübeck, Germany
| | - David Bartrés-Faz
- Department of Medicine, Faculty of Medicine and Health Sciences, Institute of Neurosciences, University of Barcelona, Campus Clínic August Pi i Sunyer, Casanova, 143, 08036 Barcelona, Spain
| | - Gabriele Cattaneo
- Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Garcilaso, 57, 08027 Barcelona, Spain
- Departament de Medicina, Universitat Autònoma de Barcelona, Plaça Cívica, Bellaterra, 08193 Barcelona, Spain
- Fundació Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol, Camí de les Escoles, Badalona, 08916 Barcelona, Spain
| | - Ilja Demuth
- Biology of Aging Working Group, Department of Endocrinology and Metabolic Diseases, Division of Lipid Metabolism, Charité—Universitätsmedizin Berlin (corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin), Augustenburger Platz 1, 13353 Berlin, Germany
- Berlin Institute of Health Center for Regenerative Therapies, Charité—Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Sandra Düzel
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Lentzeallee 94, 14195 Berlin, Germany
| | - Sören Franzenburg
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Christian-Albrechts-Platz 4, 24118 Kiel, Germany
| | - Janina Fuß
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Christian-Albrechts-Platz 4, 24118 Kiel, Germany
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Lentzeallee 94, 14195 Berlin, Germany
| | - Álvaro Pascual-Leone
- Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Garcilaso, 57, 08027 Barcelona, Spain
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Harvard Medical School, 1200 Centre St., Boston, MA 02131, USA
- Berenson-Allen Center for Noninvasive Brain Stimulation, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Ave, Boston, MA 02215, USA
| | - Sanaz Sedghpour Sabet
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Christian-Albrechts-Platz 4, 24118 Kiel, Germany
| | - Cristina Solé-Padullés
- Department of Medicine, Faculty of Medicine and Health Sciences, Institute of Neurosciences, University of Barcelona, Campus Clínic August Pi i Sunyer, Casanova, 143, 08036 Barcelona, Spain
| | - Josep M. Tormos
- Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Garcilaso, 57, 08027 Barcelona, Spain
- Departament de Medicina, Universitat Autònoma de Barcelona, Plaça Cívica, Bellaterra, 08193 Barcelona, Spain
- Fundació Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol, Camí de les Escoles, Badalona, 08916 Barcelona, Spain
| | - Valentin Max Vetter
- Biology of Aging Working Group, Department of Endocrinology and Metabolic Diseases, Division of Lipid Metabolism, Charité—Universitätsmedizin Berlin (corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin), Augustenburger Platz 1, 13353 Berlin, Germany
| | - Tanja Wesse
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Christian-Albrechts-Platz 4, 24118 Kiel, Germany
| | - Andre Franke
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Christian-Albrechts-Platz 4, 24118 Kiel, Germany
| | - Christina M. Lill
- Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), University of Lübeck, Ratzeburger Allee 160, 23562 Lübeck, Germany
- Institute of Epidemiology and Social Medicine, University of Münster, Domagkstr. 3, 48149 Münster, Germany
- Ageing Epidemiology Research Unit (AGE), School of Public Health, Imperial College London, Charing Cross Hospital, St Dunstan's Road, London W68RP, UK
| | - Lars Bertram
- Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), University of Lübeck, Ratzeburger Allee 160, 23562 Lübeck, Germany
- Center for Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Forskningsveien 3A, 0373 Oslo, Norway
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8
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Epigenetic aging and perceived psychological stress in old age. Transl Psychiatry 2022; 12:410. [PMID: 36163242 PMCID: PMC9513097 DOI: 10.1038/s41398-022-02181-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 09/07/2022] [Accepted: 09/13/2022] [Indexed: 12/20/2022] Open
Abstract
Adverse effects of psychological stress on physical and mental health, especially in older age, are well documented. How perceived stress relates to the epigenetic clock measure, DNA methylation age acceleration (DNAmAA), is less well understood and existing studies reported inconsistent results. DNAmAA was estimated from five epigenetic clocks (7-CpG, Horvath's, Hannum's, PhenoAge and GrimAge DNAmAA). Cohen's Perceived Stress Scale (PSS) was used as marker of psychological stress. We analyzed data from 1,100 Berlin Aging Study II (BASE-II) participants assessed as part of the GendAge study (mean age = 75.6 years, SD = 3.8 years, 52.1% women). In a first step, we replicated well-established associations of perceived stress with morbidity, frailty, and symptoms of depression in the BASE-II cohort studied here. In a second step, we did not find any statistically significant association of perceived stress with any of the five epigenetic clocks in multiple linear regression analyses that adjusted for covariates. Although the body of literature suggests an association between higher DNAmAA and stress or trauma during early childhood, the current study found no evidence for an association of perception of stress with DNAmAA in older people. We discuss possible reasons for the lack of associations and highlight directions for future research.
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9
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Jäger K, Mensch J, Grimmig ME, Neuner B, Gorzelniak K, Türkmen S, Demuth I, Hartmann A, Hartmann C, Wittig F, Sporbert A, Hermann A, Fuellen G, Möller S, Walter M. A conserved long-distance telomeric silencing mechanism suppresses mTOR signaling in aging human fibroblasts. SCIENCE ADVANCES 2022; 8:eabk2814. [PMID: 35977016 PMCID: PMC9385144 DOI: 10.1126/sciadv.abk2814] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
Telomeres are repetitive nucleotide sequences at the ends of each chromosome. It has been hypothesized that telomere attrition evolved as a tumor suppressor mechanism in large long-lived species. Long telomeres can silence genes millions of bases away through a looping mechanism called telomere position effect over long distances (TPE-OLD). The function of this silencing mechanism is unknown. We determined a set of 2322 genes with high positional conservation across replicatively aging species that includes known and candidate TPE-OLD genes that may mitigate potentially harmful effects of replicative aging. Notably, we identified PPP2R2C as a tumor suppressor gene, whose up-regulation by TPE-OLD in aged human fibroblasts leads to dephosphorylation of p70S6 kinase and mammalian target of rapamycin suppression. A mechanistic link between telomeres and a tumor suppressor mechanism supports the hypothesis that replicative aging fulfills a tumor suppressor function and motivates previously unknown antitumor and antiaging strategies.
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Affiliation(s)
- Kathrin Jäger
- Institute of Clinical Chemistry and Laboratory Medicine, Rostock University Medical Center, University of Rostock, Rostock, Germany
- Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Laboratory Medicine, Clinical Chemistry and Pathobiochemistry, Berlin, Germany
| | - Juliane Mensch
- Institute of Clinical Chemistry and Laboratory Medicine, Rostock University Medical Center, University of Rostock, Rostock, Germany
- Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Laboratory Medicine, Clinical Chemistry and Pathobiochemistry, Berlin, Germany
| | - Maria Elisabeth Grimmig
- Institute of Clinical Chemistry and Laboratory Medicine, Rostock University Medical Center, University of Rostock, Rostock, Germany
| | - Bruno Neuner
- Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Anesthesiology and Intensive Care Medicine, Berlin, Germany
| | - Kerstin Gorzelniak
- Unfallkrankenhaus Berlin, Institute of Laboratory Medicine, Berlin, Germany
| | - Seval Türkmen
- LNS Hematooncogenetics, National Center of Genetics Luxembourg, Dudelange, Luxemburg
- Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Medical Genetics and Human Genetics, Berlin, Germany
| | - Ilja Demuth
- Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Endocrinology and Metabolism, Berlin, Germany
- Berlin Institute of Health at Charité–Universitätsmedizin Berlin, BCRT - Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany
| | - Alexander Hartmann
- Institute of Clinical Chemistry and Laboratory Medicine, Rostock University Medical Center, University of Rostock, Rostock, Germany
| | - Christiane Hartmann
- Translational Neurodegeneration Section “Albrecht-Kossel”, Department of Neurology, Rostock University Medical Center, University of Rostock, 18147 Rostock, Germany
| | - Felix Wittig
- Institute of Pharmacology and Toxicology, Rostock University Medical Center, University of Rostock, Rostock, Germany
| | - Anje Sporbert
- Advanced Light Microscopy, Max Delbrück Center for Molecular Medicine, Berlin, Germany
| | - Andreas Hermann
- Translational Neurodegeneration Section “Albrecht-Kossel”, Department of Neurology, Rostock University Medical Center, University of Rostock, 18147 Rostock, Germany
- Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE) Rostock/Greifswald, Rostock, Germany
- Center for Transdisciplinary Neurosciences Rostock (CTNR), University Medical Center Rostock, Rostock, Germany
| | - Georg Fuellen
- Institute for Biostatistics and Informatics in Medicine and Ageing Research, Rostock University Medical Center, Rostock, Germany
| | - Steffen Möller
- Institute for Biostatistics and Informatics in Medicine and Ageing Research, Rostock University Medical Center, Rostock, Germany
| | - Michael Walter
- Institute of Clinical Chemistry and Laboratory Medicine, Rostock University Medical Center, University of Rostock, Rostock, Germany
- Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Laboratory Medicine, Clinical Chemistry and Pathobiochemistry, Berlin, Germany
- Corresponding author.
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10
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Vetter VM, Sommerer Y, Kalies CH, Spira D, Bertram L, Demuth I. Vitamin D supplementation is associated with slower epigenetic aging. GeroScience 2022; 44:1847-1859. [PMID: 35562603 PMCID: PMC9213628 DOI: 10.1007/s11357-022-00581-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 04/26/2022] [Indexed: 11/21/2022] Open
Abstract
Adverse effects of low vitamin D level on mortality and morbidity are controversially discussed. Especially older people are at risk for vitamin D deficiency and therefore exposed to its potentially harmful consequences. A way of measuring differences in the biological age is through DNA methylation age (DNAm age) and its deviation from chronological age, DNAm age acceleration (DNAmAA). We previously reported on an association between vitamin D deficiency and higher 7-CpG DNAmAA in participants of the Berlin Aging Study II (BASE-II). In this study, we employ a quasi-interventional study design to assess the relationship between DNAmAA of five epigenetic clocks and vitamin D supplementation. Longitudinal data were available for 1,036 participants of BASE-II that were reexamined on average 7.4 years later in the GendAge study (mean age at follow-up: 75.6 years, SD = 3.8 years, age range: 64.9-94.1 years, 51.9% female). DNAmAA was estimated with the 7-CpG clock, Horvath's clock, Hannum's clock, PhenoAge, and GrimAge. Methylation data were obtained through methylation-sensitive single nucleotide primer extension (MS-SNuPE) or Illumina's Infinium "MethylationEPIC" array. Vitamin D-deficient participants who chose to start vitamin D supplementation after baseline examination showed a 2.6-year lower 7-CpG DNAmAA (p = 0.011) and 1.3-year lower Horvath DNAmAA (p = 0.042) compared to untreated and vitamin D-deficient participants. DNAmAA did not statistically differ between participants with successfully treated vitamin D deficiency and healthy controls (p > 0.16). Therefore, we conclude that intake of vitamin D supplement is associated with lower DNAmAA in participants with vitamin D deficiency.
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Affiliation(s)
- Valentin Max Vetter
- Biology of Aging Working Group, Department of Endocrinology and Metabolic Diseases (Including Division of Lipid Metabolism), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
- Department of Psychology, Humboldt University Berlin, Berlin, Germany
| | - Yasmine Sommerer
- Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), University of Lübeck, Lübeck, Germany
| | - Christian Humberto Kalies
- Biology of Aging Working Group, Department of Endocrinology and Metabolic Diseases (Including Division of Lipid Metabolism), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Dominik Spira
- Biology of Aging Working Group, Department of Endocrinology and Metabolic Diseases (Including Division of Lipid Metabolism), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Lars Bertram
- Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), University of Lübeck, Lübeck, Germany
- Center for Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Oslo, Norway
| | - Ilja Demuth
- Biology of Aging Working Group, Department of Endocrinology and Metabolic Diseases (Including Division of Lipid Metabolism), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.
- BCRT - Berlin Institute of Health Center for Regenerative Therapies, Charité - Universitätsmedizin Berlin, Berlin, Germany.
- Biology of Aging Group, Lipid Clinic at the Interdisciplinary Metabolism Center, Charité - Universitätsmedizin Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.
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11
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Buchmann N, Ittermann T, Demuth I, Markus MRP, Völzke H, Dörr M, Friedrich N, Lerch MM, Santos RD, Schipf S, Steinhagen-Thiessen E. Lipoprotein(a) and Metabolic Syndrome. DEUTSCHES ARZTEBLATT INTERNATIONAL 2022; 119:270-276. [PMID: 35331368 PMCID: PMC9400195 DOI: 10.3238/arztebl.m2022.0153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 08/25/2021] [Accepted: 02/17/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND An inverse association between lipoprotein(a) (Lp[a]) and type 2 diabetes mellitus is well documented. However, data on the association of the metabolic syndrome (MetS) with Lp(a) are sparse. METHODS Cross-sectional data for MetS and Lp(a) were available for 5743 BASE-II and SHIP-0 participants (48.7% men; age 58 [20-85] years) (BASE, Berlin Aging Study; SHIP, Study of Health in Pomerania). The association of MetS and its components with Lp(a) was analyzed by means of median regression adjusted for age, sex, and study. Associations were evaluated for the total population as well as stratified by sex and menopausal status. RESULTS Overall, 27.6% (n = 1573) of the participants in the two studies had MetS and 22.5% (n = 1291) were premenopausal women. There was an inverse association between MetS and Lp(a) in the whole study sample (β = -11.9, 95% confidence interval [-21.3; -2.6]) as well as in men (β = -16.5 [-28.6; -4.3]). Participants with MetS (whole study sample) had 11.9 mmol/L lower Lp(a). Analogous results were found in postmenopausal women (β = -25.4 [-46.0; -4.8]). In premenopausal women with MetS, Lp(a) levels were higher by 39.1 mg/L on average [12.3; 65.9]) than in premenopausal women without MetS. CONCLUSION Hormonal aspects and menopausal alterations seem to affect the association between MetS and Lp(a), as the expected inverse association was not present in premenopausal women.
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Affiliation(s)
- Nikolaus Buchmann
- Department of Cardiology, Benjamin Franklin Campus, Charité – University Medical Center Berlin: Dr. med. Nikolaus Buchmann
| | - Till Ittermann
- Institute for Community Medicine, University Medical Center Greifswald: Dr. rer. med. Till Ittermann, Prof. Dr. med. Henry Völzke, Dr. rer. med. Sabine Schipf
| | - Ilja Demuth
- Biology of Aging Group, Department of Endocrinology and Metabolic Medicine (including Lipid Metabolism), Charité – University Medical Center Berlin, corporate member of Free University Berlin and Humboldt University of Berlin: Prof. Dr. rer. nat. Ilja Demuth, Prof. Dr. med. Elisabeth Steinhagen-Thiessen
- Berlin Institute for Health Research at Charité – University Medical Center Berlin, BCRT – Berlin Center for Regenerative Therapy: Prof. Dr. rer. nat. Ilja Demuth
| | - Marcello R. P. Markus
- Department of Internal Medicine B, University Medical Center Greifswald: Dr. med. Marcello R. P. Markus, Prof. Dr. med. Marcus Dörr
- German Center for Diabetes Research (DZD), Greifswald Site, Greifswald: Dr. med. Marcello R. P. Markus, Prof. Dr. med. Henry Völzke, Prof. Dr. med. Marcus Dörr, Dr. rer. med. Sabine Schipf
- German Center for Cardiovascular Research (DZHK), Greifswald Site, Greifswald: Dr. med. Marcello R. P. Markus, Prof. Dr. med. Henry Völzke, Prof. Dr. med. Marcus Dörr
| | - Henry Völzke
- Institute for Community Medicine, University Medical Center Greifswald: Dr. rer. med. Till Ittermann, Prof. Dr. med. Henry Völzke, Dr. rer. med. Sabine Schipf
- German Center for Diabetes Research (DZD), Greifswald Site, Greifswald: Dr. med. Marcello R. P. Markus, Prof. Dr. med. Henry Völzke, Prof. Dr. med. Marcus Dörr, Dr. rer. med. Sabine Schipf
- German Center for Cardiovascular Research (DZHK), Greifswald Site, Greifswald: Dr. med. Marcello R. P. Markus, Prof. Dr. med. Henry Völzke, Prof. Dr. med. Marcus Dörr
| | - Marcus Dörr
- Department of Internal Medicine B, University Medical Center Greifswald: Dr. med. Marcello R. P. Markus, Prof. Dr. med. Marcus Dörr
- German Center for Diabetes Research (DZD), Greifswald Site, Greifswald: Dr. med. Marcello R. P. Markus, Prof. Dr. med. Henry Völzke, Prof. Dr. med. Marcus Dörr, Dr. rer. med. Sabine Schipf
- German Center for Cardiovascular Research (DZHK), Greifswald Site, Greifswald: Dr. med. Marcello R. P. Markus, Prof. Dr. med. Henry Völzke, Prof. Dr. med. Marcus Dörr
| | - Nele Friedrich
- Institute for Clinical Chemistry and Laboratory Medicine, University Medical Center Greifswald: Dr. rer. med. Nele Friedrich
| | - Markus M. Lerch
- Department of Internal Medicine A, University Medical Center Greifswald: Prof. Dr. med. Markus M. Lerch
| | - Raul D. Santos
- Lipid Clinic, Heart Institute (InCor), Medical Teaching Hospital, University of São Paulo, Brazil: Prof. Raul D. Santos, MD, PhD
| | - Sabine Schipf
- Institute for Community Medicine, University Medical Center Greifswald: Dr. rer. med. Till Ittermann, Prof. Dr. med. Henry Völzke, Dr. rer. med. Sabine Schipf
- German Center for Diabetes Research (DZD), Greifswald Site, Greifswald: Dr. med. Marcello R. P. Markus, Prof. Dr. med. Henry Völzke, Prof. Dr. med. Marcus Dörr, Dr. rer. med. Sabine Schipf
| | - Elisabeth Steinhagen-Thiessen
- Biology of Aging Group, Department of Endocrinology and Metabolic Medicine (including Lipid Metabolism), Charité – University Medical Center Berlin, corporate member of Free University Berlin and Humboldt University of Berlin: Prof. Dr. rer. nat. Ilja Demuth, Prof. Dr. med. Elisabeth Steinhagen-Thiessen
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12
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Pohrt A, Kendel F, Demuth I, Drewelies J, Nauman T, Behlouli H, Stadler G, Pilote L, Regitz-Zagrosek V, Gerstorf D. Differentiating Sex and Gender Among Older Men and Women. Psychosom Med 2022; 84:339-346. [PMID: 35149636 DOI: 10.1097/psy.0000000000001056] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE This study aimed to paradigmatically show the development of a gender score that can be used as either an adjustment or a matching variable to separate the effects of gender versus biological sex in a sample of older adults. METHODS Our sample comprised 1100 participants from the Berlin Aging Study II (52% women, mean [standard deviation] age = 75.6 [3.8] years). The gender score included a multitude of gender-related variables and was constructed via logistic regression. In models of health outcomes, it was used as an adjustment variable in regression analyses as well as a matching variable to match older men and women according to their gender. RESULTS Matching by gender substantially reduced sample size to n = 340. Analyses (either adjusting for gender or matching men and women according to gender) revealed that female sex was independently associated with lower grip strength (B = -14.47, 95% confidence interval [CI] = -15.51 to -13.44), better cognitive performance (B = 3.47, 95% CI = 1.94 to 5.0), higher pulse wave velocity (B = 0.19, 95% CI = 0.06 to 0.31), lower body mass index (B = -0.97, 95% CI = -1.74 to -0.21), and lower rates of metabolic syndrome (odds ratio = 0.53, 95% CI = 0.37 to 0.77). In addition, both sex and gender were independently associated with cognitive performance and depression. CONCLUSIONS Calculating a gender score allows for the inclusion of a large number of variables, creating parsimonious models that are adaptable to different data sets and alternative gender definitions. Depending on the research question and the sample properties, the gender score can be used as either an adjustment or a matching variable.Trial Registration: DRKS-Deutsches Register Klinischer Studien (Study ID: DRKS00016157).
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Affiliation(s)
- Anne Pohrt
- From the Gender in Medicine (Pohrt, Kendel, Nauman, Stadler, Regitz-Zagrosek), Institute of Biometry and Clinical Epidemiology (Pohrt), and Department of Endocrinology and Metabolic Diseases (including Division of Lipid Metabolism) (Demuth), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin; Berlin Institute of Health at Charité-Universitätsmedizin Berlin, BCRT-Berlin Institute of Health Center for Regenerative Therapies (Demuth); Department of Psychology (Drewelies, Gerstorf), Humboldt University Berlin, Berlin, Germany; Department of Medicine (Behlouli, Pilote), Centre for Outcomes Research & Evaluation, Research Institute of the McGill University Health Centre, McGill University, Montreal, Canada; Universität Zürich, Department of Cardiology (Regitz-Zagrosek), University Hospital Zürich, University of Zürich, Zürich, Switzerland; and Applied Health Sciences (Stadler), University of Aberdeen, Aberdeen, Scotland, United Kingdom
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13
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Spira D, Buchmann N, Dörr M, Markus MRP, Nauck M, Schipf S, Spranger J, Demuth I, Steinhagen-Thiessen E, Völzke H, Ittermann T. Association of thyroid function with insulin resistance: data from two population-based studies. Eur Thyroid J 2022; 11:e210063. [PMID: 35085102 PMCID: PMC8963174 DOI: 10.1530/etj-21-0063] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Accepted: 01/27/2022] [Indexed: 11/08/2022] Open
Abstract
OBJECTIVE Thyroid dysfunction is associated with relevant disturbances in glucose metabolism. Moreover, thyroid function undergoes important changes with ageing. The objective of this study was to investigate the association of thyroid function with insulin resistance with particular consideration of possible age-related effect modifications. DESIGN A sample of 4193 participants from two independent epidemiological studies, the Study of Health in Pomerania-TREND-0 and the Berlin Aging Study II, was included in this cross-sectional analysis. METHODS Insulin resistance was estimated by homeostasis model of insulin resistance (HOMA-IR) and the insulin sensitivity index (ISI). Associations of thyroid biomarkers (thyroid-stimulating hormone, free thyroxine, and free triiodothyronine (fT3)) with parameters of glucose metabolism were analysed by regression models adjusted for age, sex, smoking status, and study site. RESULTS A higher fT3 was significantly associated with higher fasting glucose and higher fasting and 2-h postload insulin levels, a higher HOMA-IR, and lower ISI. A higher fT3 was also associated with a higher risk for impaired fasting glucose (RR 1.09, 95 CI 1.02; 1.18; P = 0.017). Many of these associations between thyroid markers and parameters of glucose metabolism were significant in young and middle-aged participants but not in older individuals. CONCLUSIONS The main finding of this study was a consistent association of fT3 with almost all markers of insulin resistance. However, this effect seems to be wearing off in higher age highlighting a potential age-related modification of the interaction between thyroid function and glucose metabolism. Further studies are needed to clarify causal relationships.
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Affiliation(s)
- Dominik Spira
- Department of Endocrinology and Metabolism, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Correspondence should be addressed to D Spira:
| | - Nikolaus Buchmann
- Department of Cardiology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Marcus Dörr
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
- German Centre for Cardiovascular Research (DZHK), partner site Greifswald, Greifswald, Germany
| | - Marcello R P Markus
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
- German Centre for Cardiovascular Research (DZHK), partner site Greifswald, Greifswald, Germany
| | - Matthias Nauck
- German Centre for Cardiovascular Research (DZHK), partner site Greifswald, Greifswald, Germany
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Sabine Schipf
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Joachim Spranger
- Department of Endocrinology and Metabolism, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Ilja Demuth
- Department of Endocrinology and Metabolism, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Charité – Universitätsmedizin Berlin, BCRT – Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany
| | - Elisabeth Steinhagen-Thiessen
- Department of Endocrinology and Metabolism, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Henry Völzke
- German Centre for Cardiovascular Research (DZHK), partner site Greifswald, Greifswald, Germany
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Till Ittermann
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
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14
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Solé-Padullés C, Macià D, Andersson M, Stiernstedt M, Pudas S, Düzel S, Zsoldos E, Ebmeier KP, Binnewies J, Drevon CA, Brandmaier AM, Mowinckel AM, Fjell AM, Madsen KS, Baaré WFC, Lindenberger U, Nyberg L, Walhovd KB, Bartrés-Faz D. No Association Between Loneliness, Episodic Memory and Hippocampal Volume Change in Young and Healthy Older Adults: A Longitudinal European Multicenter Study. Front Aging Neurosci 2022; 14:795764. [PMID: 35283753 PMCID: PMC8905540 DOI: 10.3389/fnagi.2022.795764] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 01/17/2022] [Indexed: 11/30/2022] Open
Abstract
Background Loneliness is most prevalent during adolescence and late life and has been associated with mental health disorders as well as with cognitive decline during aging. Associations between longitudinal measures of loneliness and verbal episodic memory and brain structure should thus be investigated. Methods We sought to determine associations between loneliness and verbal episodic memory as well as loneliness and hippocampal volume trajectories across three longitudinal cohorts within the Lifebrain Consortium, including children, adolescents (N = 69, age range 10-15 at baseline examination) and older adults (N = 1468 over 60). We also explored putative loneliness correlates of cortical thinning across the entire cortical mantle. Results Loneliness was associated with worsening of verbal episodic memory in one cohort of older adults. Specifically, reporting medium to high levels of loneliness over time was related to significantly increased memory loss at follow-up examinations. The significance of the loneliness-memory change association was lost when eight participants were excluded after having developed dementia in any of the subsequent follow-up assessments. No significant structural brain correlates of loneliness were found, neither hippocampal volume change nor cortical thinning. Conclusion In the present longitudinal European multicenter study, the association between loneliness and episodic memory was mainly driven by individuals exhibiting progressive cognitive decline, which reinforces previous findings associating loneliness with cognitive impairment and dementia.
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Affiliation(s)
- Cristina Solé-Padullés
- Department of Medicine, Faculty of Medicine and Health Sciences, Institute of Neurosciences, University of Barcelona, Barcelona, Spain,*Correspondence: Cristina Solé-Padullés,
| | - Dídac Macià
- Department of Medicine, Faculty of Medicine and Health Sciences, Institute of Neurosciences, University of Barcelona, Barcelona, Spain,ISGlobal, Hospital Clínic – University of Barcelona, Barcelona, Spain
| | - Micael Andersson
- Department of Integrative Medical Biology, Umeå University, Umeå, Sweden,Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
| | - Mikael Stiernstedt
- Department of Integrative Medical Biology, Umeå University, Umeå, Sweden,Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
| | - Sara Pudas
- Department of Integrative Medical Biology, Umeå University, Umeå, Sweden,Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
| | - Sandra Düzel
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany,Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany
| | - Enikő Zsoldos
- Department of Psychiatry, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom
| | - Klaus P. Ebmeier
- Department of Psychiatry, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom
| | - Julia Binnewies
- Department of Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Christian A. Drevon
- Vitas Ltd., Oslo, Norway,Department of Nutrition, Institute of Basic Medical Sciences, Faculty Medicine, University of Oslo, Oslo, Norway
| | - Andreas M. Brandmaier
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany,Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany
| | - Athanasia M. Mowinckel
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway,Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Anders M. Fjell
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway,Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Kathrine Skak Madsen
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Amager and Hvidovre, Copenhagen, Denmark,Radiography, Department of Technology, University College Copenhagen, Copenhagen, Denmark
| | - William F. C. Baaré
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Amager and Hvidovre, Copenhagen, Denmark
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany,Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany
| | - Lars Nyberg
- Department of Integrative Medical Biology, Umeå University, Umeå, Sweden,Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden,Department of Radiation Sciences, Umeå University, Umeå, Sweden
| | - Kristine B. Walhovd
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway,Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - David Bartrés-Faz
- Department of Medicine, Faculty of Medicine and Health Sciences, Institute of Neurosciences, University of Barcelona, Barcelona, Spain,August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
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15
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Walhovd KB, Fjell AM, Wang Y, Amlien IK, Mowinckel AM, Lindenberger U, Düzel S, Bartrés-Faz D, Ebmeier KP, Drevon CA, Baaré WFC, Ghisletta P, Johansen LB, Kievit RA, Henson RN, Madsen KS, Nyberg L, R Harris J, Solé-Padullés C, Pudas S, Sørensen Ø, Westerhausen R, Zsoldos E, Nawijn L, Lyngstad TH, Suri S, Penninx B, Rogeberg OJ, Brandmaier AM. Education and Income Show Heterogeneous Relationships to Lifespan Brain and Cognitive Differences Across European and US Cohorts. Cereb Cortex 2022; 32:839-854. [PMID: 34467389 PMCID: PMC8841563 DOI: 10.1093/cercor/bhab248] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Revised: 06/25/2021] [Accepted: 06/28/2021] [Indexed: 12/19/2022] Open
Abstract
Higher socio-economic status (SES) has been proposed to have facilitating and protective effects on brain and cognition. We ask whether relationships between SES, brain volumes and cognitive ability differ across cohorts, by age and national origin. European and US cohorts covering the lifespan were studied (4-97 years, N = 500 000; 54 000 w/brain imaging). There was substantial heterogeneity across cohorts for all associations. Education was positively related to intracranial (ICV) and total gray matter (GM) volume. Income was related to ICV, but not GM. We did not observe reliable differences in associations as a function of age. SES was more strongly related to brain and cognition in US than European cohorts. Sample representativity varies, and this study cannot identify mechanisms underlying differences in associations across cohorts. Differences in neuroanatomical volumes partially explained SES-cognition relationships. SES was more strongly related to ICV than to GM, implying that SES-cognition relations in adulthood are less likely grounded in neuroprotective effects on GM volume in aging. The relatively stronger SES-ICV associations rather are compatible with SES-brain volume relationships being established early in life, as ICV stabilizes in childhood. The findings underscore that SES has no uniform association with, or impact on, brain and cognition.
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Affiliation(s)
- Kristine B Walhovd
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo 0317, Norway
- Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo 0424, Norway
| | - Anders M Fjell
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo 0317, Norway
- Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo 0424, Norway
| | - Yunpeng Wang
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo 0317, Norway
| | - Inge K Amlien
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo 0317, Norway
| | - Athanasia M Mowinckel
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo 0317, Norway
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin 14195, Germany
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin D-14195, Germany
| | - Sandra Düzel
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin 14195, Germany
| | - David Bartrés-Faz
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, and Institut de Neurociències, Universitat de Barcelona, Barcelona 08036, Spain
| | - Klaus P Ebmeier
- Department of Psychiatry, University of Oxford, Oxford OX3 7JX, UK
| | - Christian A Drevon
- Vitas AS, Oslo 0349, Norway
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo 0317, Norway
| | - William F C Baaré
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark
| | - Paolo Ghisletta
- Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland
- UniDistance Suisse, Brig, Brig 3900, Switzerland
- Swiss National Centre of Competence in Research LIVES, University of Geneva, Geneva 1212, Switzerland
| | - Louise Baruël Johansen
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark
- Center for Neuropsychiatric Schizophrenia Research and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, Glostrup 2600, Denmark
| | - Rogier A Kievit
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge CB2 7EF, UK
- Cognitive Neuroscience Department, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen 6500 GL, The Netherlands
| | - Richard N Henson
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge CB2 7EF, UK
| | - Kathrine Skak Madsen
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark
- Radiography, Department of Technology, University College Copenhagen, Copenhagen 1799, Denmark
| | - Lars Nyberg
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo 0317, Norway
- Umeå Center for Functional Brain Imaging, Umeå University, Umeå 901 87, Sweden
- Department of Integrative Medical Biology, Umeå University, Umeå 901 87, Sweden
- Department of Radiation Sciences, Radiology, Umeå University, 901 87 Umeå, Sweden
| | - Jennifer R Harris
- Division for Health Data and Digitalisation, The Norwegian Institute of Public Health, Oslo 0213, Norway
| | - Cristina Solé-Padullés
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, and Institut de Neurociències, Universitat de Barcelona, Barcelona 08036, Spain
| | - Sara Pudas
- Umeå Center for Functional Brain Imaging, Umeå University, Umeå 901 87, Sweden
- Department of Radiation Sciences, Radiology, Umeå University, 901 87 Umeå, Sweden
| | - Øystein Sørensen
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo 0317, Norway
| | - René Westerhausen
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo 0317, Norway
| | - Enikő Zsoldos
- Department of Psychiatry, University of Oxford, Oxford OX3 7JX, UK
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford OX3 7JX, UK
| | - Laura Nawijn
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit, Amsterdam 1081 HJ, The Netherlands
| | - Torkild Hovde Lyngstad
- Department of Sociology and Human Geography, Faculty of Social Sciences, University of Oslo, Oslo 0317, Norway
| | - Sana Suri
- Department of Psychiatry, University of Oxford, Oxford OX3 7JX, UK
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford OX3 7JX, UK
| | - Brenda Penninx
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit, Amsterdam 1081 HJ, The Netherlands
| | | | - Andreas M Brandmaier
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin 14195, Germany
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin D-14195, Germany
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16
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Buchmann N, Fielitz J, Spira D, König M, Norman K, Pawelec G, Goldeck D, Demuth I, Steinhagen-Thiessen E. Muscle Mass and Inflammation in Older Adults: Impact of the Metabolic Syndrome. Gerontology 2022; 68:989-998. [PMID: 35100595 PMCID: PMC9501741 DOI: 10.1159/000520096] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Accepted: 09/07/2021] [Indexed: 11/19/2022] Open
Abstract
Background Inflammatory processes are a cause of accelerated loss of muscle mass. Metabolic syndrome (MetS) is a highly prevalent age-related condition, which may promote and be promoted by inflammation. However, whether inflammation in MetS (metaflammation) is associated with lower muscle mass is still unclear. Methods Complete cross-sectional data on body composition, MetS, and the inflammatory markers interleukin (IL)-1β, IL-6, IL-10, tumor necrosis factor (TNF), and C-reactive protein (CRP) were available for 1,377 BASE-II participants (51.1% women; 68 ± 4 years old). Appendicular lean mass (ALM) was assessed by dual-energy X-ray absorptiometry. Low muscle mass (low ALM-to-BMI ratio [ALMBMI]) was defined according to the Foundation for the National Institutes of Health (FNIH) Sarcopenia Project. Regression models, adjusted for an increasing number of confounders (sex, age, physical activity, morbidities, diabetes mellitus type II, TSH, albumin, HbA1c, smoking habits, alcohol intake, education, and energy intake/day), were used to calculate the association between low ALMBMI and high inflammation (tertile 3) according to MetS. Results MetS was present in 36.2% of the study population, and 9% had low ALMBMI. In the whole study population, high CRP (odds ratio [OR]: 2.7 [95% CI: 1.6–4.7; p = 0.001]) and high IL-6 (OR: 2.1 [95% CI: 1.2–1.9; p = 0.005]) were associated with low ALMBMI. In contrast, no significant association was found between TNF, IL-10, or IL-1β with low ALMBMI. When participants were stratified by MetS, results for IL-6 remained significant only in participants with MetS. Conclusions Among BASE-II participants, low ALMBMI was associated with inflammation. Low-grade inflammation triggered by disease state, especially in the context of MetS, might favor loss of muscle mass, so a better control of MetS might help to prevent sarcopenia. Intervention studies to test whether strategies to prevent MetS might also prevent loss of muscle mass seem to be promising.
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Affiliation(s)
- Nikolaus Buchmann
- Department of Endocrinology and Metabolic Diseases (including Division of Lipid Metabolism), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.,Department of Internal Medicine B, Cardiology, University Medicine Greifswald, Greifswald, Germany.,Department of Cardiology, Charité - University Medicine Berlin (Campus Benjamin Franklin), Berlin, Germany
| | - Jens Fielitz
- Department of Internal Medicine B, Cardiology, University Medicine Greifswald, Greifswald, Germany.,DZHK (German Centre for Cardiovascular Research), Partner site Greifswald, Greifswald, Germany
| | - Dominik Spira
- Department of Endocrinology and Metabolic Diseases (including Division of Lipid Metabolism), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.,Department of Endocrinology and Metabolism, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Maximilian König
- Division of Nephrology and Internal Intensive Care, Department of Internal Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Kristina Norman
- Department of Endocrinology and Metabolism, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.,German Institute of Human Nutrition Potsdam Rehbrücke, Department of Nutrition and Gerontology, Nuthetal, Germany.,Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Graham Pawelec
- Department of Immunology, University of Tübingen, Tübingen, Germany.,Health Sciences North Research Institute, Sudbury, Ontario, Canada
| | | | - Ilja Demuth
- Department of Endocrinology and Metabolic Diseases (including Division of Lipid Metabolism), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.,Berlin Institute of Health Center for Regenerative Therapies, BCRT, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Elisabeth Steinhagen-Thiessen
- Department of Endocrinology and Metabolic Diseases (including Division of Lipid Metabolism), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
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17
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Vetter VM, Kalies CH, Sommerer Y, Bertram L, Demuth I. Seven-CpG DNA Methylation Age Determined by Single Nucleotide Primer Extension and Illumina's Infinium MethylationEPIC Array Provide Highly Comparable Results. Front Genet 2022; 12:759357. [PMID: 35111197 PMCID: PMC8802213 DOI: 10.3389/fgene.2021.759357] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Accepted: 12/14/2021] [Indexed: 11/24/2022] Open
Abstract
DNA methylation age (DNAm age, epigenetic clock) is a novel and promising biomarker of aging. It is calculated from the methylation fraction of specific cytosine phosphate guanine sites (CpG sites) of genomic DNA. Several groups have proposed epigenetic clock algorithms and these differ mostly regarding the number and location of the CpG sites considered and the method used to assess the methylation status. Most epigenetic clocks are based on a large number of CpGs, e.g. as measured by DNAm microarrays. We have recently evaluated an epigenetic clock based on the methylation fraction of seven CpGs that were determined by methylation-sensitive single nucleotide primer extension (MS-SNuPE). This method is more cost-effective when compared to array-based technologies as only a few CpGs need to be examined. However, there is only little data on the correspondence in epigenetic age estimation using the 7-CpG clock and other algorithms. To bridge this gap, in this study we measured the 7-CpG DNAm age using two methods, via MS-SNuPE and via the MethylationEPIC array, in a sample of 1,058 participants of the Berlin Aging Study II (BASE-II), assessed as part of the GendAge study. On average, participants were 75.6 years old (SD: 3.7, age range: 64.9-90.0, 52.6% female). Agreement between methods was assessed by Bland-Altman plots. DNAm age was highly correlated between methods (Pearson's r = 0.9) and Bland-Altman plots showed a difference of 3.1 years. DNAm age by the 7-CpG formula was 71.2 years (SD: 6.9 years, SNuPE) and 68.1 years (SD: 6.4 years, EPIC array). The mean of difference in methylation fraction between methods for the seven individual CpG sites was between 0.7 and 13 percent. To allow direct conversion of DNAm age obtained from both methods we developed an adjustment formula with a randomly selected training set of 529 participants using linear regression. After conversion of the Illumina data in a second and independent validation set, the adjusted DNAm age was 71.44 years (SD: 6.1 years, n = 529). In summary, we found the results of DNAm clocks to be highly comparable. Furthermore, we developed an adjustment formula that allows for direct conversion of DNAm age estimates between methods and enables one singular clock to be used in studies that employ either the Illumina or the SNuPE method.
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Affiliation(s)
- Valentin Max Vetter
- Department of Endocrinology and Metabolic Diseases (Including Division of Lipid Metabolism), Biology of Aging Working Group, Charité–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Psychology, Humboldt University Berlin, Berlin, Germany
| | - Christian Humberto Kalies
- Department of Endocrinology and Metabolic Diseases (Including Division of Lipid Metabolism), Biology of Aging Working Group, Charité–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Yasmine Sommerer
- Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), University of Lübeck, Lübeck, Germany
| | - Lars Bertram
- Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), University of Lübeck, Lübeck, Germany
- Center for Lifespan Changes in Brain and Cognition (LCBC), Dept of Psychology, University of Oslo, Oslo, Norway
| | - Ilja Demuth
- Department of Endocrinology and Metabolic Diseases (Including Division of Lipid Metabolism), Biology of Aging Working Group, Charité–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Charité - Universitätsmedizin Berlin, BCRT - Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany
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18
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Vetter VM, Kalies CH, Sommerer Y, Spira D, Drewelies J, Regitz-Zagrosek V, Bertram L, Gerstorf D, Demuth I. Relationship between five Epigenetic Clocks, Telomere Length and Functional Capacity assessed in Older Adults: Cross-sectional and Longitudinal Analyses. J Gerontol A Biol Sci Med Sci 2022; 77:1724-1733. [PMID: 35032170 DOI: 10.1093/gerona/glab381] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Indexed: 11/14/2022] Open
Abstract
DNA methylation age acceleration (DNAmAA, derived from an epigenetic clock) and relative leukocyte telomere length (rLTL) are widely accepted biomarkers of aging. Nevertheless, it is still unclear which aspects of aging they represent best. Here we evaluated longitudinal associations between baseline rLTL and DNAmAA (estimated with 7-CpG clock) and functional assessments covering different domains of aging. Additionally, we made use of cross-sectional data on these assessments and examined their association with DNAmAA estimated by five different DNAm age measures. Two-wave longitudinal data was available for 1,083 participants of the Berlin Aging Study II (BASE-II) who were re-examined on average 7.4 years after baseline as part of the GendAge study. Functional outcomes were assessed with Fried's frailty score, Tinetti mobility test, falls in the past 12 months (yes/no), Finger-floor distance, Mini Mental State Examination (MMSE), Center for Epidemiologic Studies Depression Scale (CES-D), Activities of Daily Living (ADL), Instrumented ADL (IADL) and Mini Nutritional Assessment (MNA). Overall, we found no evidence for an association between the molecular biomarkers measured at baseline, rLTL and DNAmAA (7-CpG clock), and functional assessments assessed at follow-up. Similarly, a cross-sectional analyses of follow-up data did also not show evidence for associations of the various DNAmAA measures (7-CpG clock, Horvath's clock, Hannum's clock PhenoAge, and GrimAge) with functional assessments. In conclusion, neither rLTL nor 7-CpG DNAmAA were able to predict impairment in the analyzed assessments over a ~7-year time-course. Similarly, DNAmAA estimated from five epigenetic clocks was not a good cross-sectional marker of health deterioration either.
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Affiliation(s)
- Valentin Max Vetter
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Lipid Clinic at the Interdisciplinary Metabolism Center, Germany.,Department of Psychology, Humboldt University Berlin, Berlin, Germany
| | - Christian Humberto Kalies
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Lipid Clinic at the Interdisciplinary Metabolism Center, Germany
| | - Yasmine Sommerer
- Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), University of Lübeck, Lübeck, Germany
| | - Dominik Spira
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Lipid Clinic at the Interdisciplinary Metabolism Center, Germany
| | - Johanna Drewelies
- Department of Psychology, Humboldt University Berlin, Berlin, Germany
| | - Vera Regitz-Zagrosek
- Institute for Gender in Medicine, Center for Cardiovascular Research, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt - Universität zu Berlin and Berlin Institute of Health, Berlin, Germany.,Department of Cardiology, University Hospital Zürich, University of Zürich, Zürich, Switzerland
| | - Lars Bertram
- Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), University of Lübeck, Lübeck, Germany.,Center for Lifespan Changes in Brain and Cognition (LCBC), Dept of Psychology, University of Oslo, Oslo, Norway
| | - Denis Gerstorf
- Department of Psychology, Humboldt University Berlin, Berlin, Germany
| | - Ilja Demuth
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Lipid Clinic at the Interdisciplinary Metabolism Center, Germany.,Charité - Universitätsmedizin Berlin, BCRT - Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany
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19
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Jawinski P, Markett S, Drewelies J, Düzel S, Demuth I, Steinhagen-Thiessen E, Wagner GG, Gerstorf D, Lindenberger U, Gaser C, Kühn S. Linking Brain Age Gap to Mental and Physical Health in the Berlin Aging Study II. Front Aging Neurosci 2022; 14:791222. [PMID: 35936763 PMCID: PMC9355695 DOI: 10.3389/fnagi.2022.791222] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 06/17/2022] [Indexed: 11/13/2022] Open
Abstract
From a biological perspective, humans differ in the speed they age, and this may manifest in both mental and physical health disparities. The discrepancy between an individual's biological and chronological age of the brain ("brain age gap") can be assessed by applying machine learning techniques to Magnetic Resonance Imaging (MRI) data. Here, we examined the links between brain age gap and a broad range of cognitive, affective, socioeconomic, lifestyle, and physical health variables in up to 335 adults of the Berlin Aging Study II. Brain age gap was assessed using a validated prediction model that we previously trained on MRI scans of 32,634 UK Biobank individuals. Our statistical analyses revealed overall stronger evidence for a link between higher brain age gap and less favorable health characteristics than expected under the null hypothesis of no effect, with 80% of the tested associations showing hypothesis-consistent effect directions and 23% reaching nominal significance. The most compelling support was observed for a cluster covering both cognitive performance variables (episodic memory, working memory, fluid intelligence, digit symbol substitution test) and socioeconomic variables (years of education and household income). Furthermore, we observed higher brain age gap to be associated with heavy episodic drinking, higher blood pressure, and higher blood glucose. In sum, our results point toward multifaceted links between brain age gap and human health. Understanding differences in biological brain aging may therefore have broad implications for future informed interventions to preserve mental and physical health in old age.
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Affiliation(s)
- Philippe Jawinski
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Sebastian Markett
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Johanna Drewelies
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany.,Lise Meitner Group for Environmental Neuroscience, Max Planck Institute for Human Development, Berlin, Germany
| | - Sandra Düzel
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Ilja Demuth
- Division of Lipid Metabolism, Department of Endocrinology and Metabolic Diseases, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany.,Berlin Institute of Health at Charité - Universitätsmedizin Berlin, BCRT-Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany
| | - Elisabeth Steinhagen-Thiessen
- Division of Lipid Metabolism, Department of Endocrinology and Metabolic Diseases, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Gert G Wagner
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.,German Socio-Economic Panel Study (SOEP), Berlin, Germany.,Federal Institute for Population Research (BiB), Berlin, Germany
| | - Denis Gerstorf
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.,German Socio-Economic Panel Study (SOEP), Berlin, Germany
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Christian Gaser
- Structural Brain Mapping Group, Department of Psychiatry and Neurology, Jena University Hospital, Jena, Germany
| | - Simone Kühn
- Lise Meitner Group for Environmental Neuroscience, Max Planck Institute for Human Development, Berlin, Germany.,Department of Psychiatry and Psychotherapy, University Clinic Hamburg Eppendorf, Hamburg, Germany
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20
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Cardiovascular health is associated with the epigenetic clock in the Berlin Aging Study II (BASE-II). Mech Ageing Dev 2021; 201:111616. [PMID: 34879249 DOI: 10.1016/j.mad.2021.111616] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 11/11/2021] [Accepted: 12/02/2021] [Indexed: 02/08/2023]
Abstract
The epigenetic clock parameter DNAm age acceleration is a promising biomarker of aging. We have recently described an epigenetic clock based on only seven cytosine-phosphate-guanine sites, which is highly associated with chronological age. The aim of this study was to examine this epigenetic clock with respect to its relationship with cardiovascular health (CVH) in older adults. We used data from the Berlin Aging Study II (BASE-II; 1,671 participants; 68.8 ± 3.7 years old). CVH was operationalized using two different CVH scores, the Framingham Risk Score (FRS), and the Life's simple 7 (LS7). To adjust for potential confounding, e.g. by sex, we performed regression analyses. The LS7 score was higher, i.e. more favorable, in woman than in men (8.8 ± 2 vs. 8.2 ± 2, p < 0.001). DNAm age acceleration was associated with the FRS (β = 0.122, p = 0.028) and with the LS7 (β = -0.804, p = 0.032). In more detail, physical activity (β = -0.461, p = 0.05), HDL-cholesterol (β = 0.343, p = 0.03) and total cholesterol (β = -0.364, p = 0.002) were associated with epigenetic age acceleration. We present evidence suggesting that better CVH is associated with decelerated biological aging measured by the epigenetic clock.
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21
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Grydeland H, Sederevičius D, Wang Y, Bartrés-Faz D, Bertram L, Dobricic V, Düzel S, Ebmeier KP, Lindenberger U, Nyberg L, Pudas S, Sexton CE, Solé-Padullés C, Sørensen Ø, Walhovd KB, Fjell AM. Self-reported sleep relates to microstructural hippocampal decline in ß-amyloid positive Adults beyond genetic risk. Sleep 2021; 44:zsab110. [PMID: 33912975 PMCID: PMC8598196 DOI: 10.1093/sleep/zsab110] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 04/16/2021] [Indexed: 12/01/2022] Open
Abstract
STUDY OBJECTIVES A critical role linking sleep with memory decay and β-amyloid (Aβ) accumulation, two markers of Alzheimer's disease (AD) pathology, may be played by hippocampal integrity. We tested the hypotheses that worse self-reported sleep relates to decline in memory and intra-hippocampal microstructure, including in the presence of Aβ. METHODS Two-hundred and forty-three cognitively healthy participants, aged 19-81 years, completed the Pittsburgh Sleep Quality Index once, and two diffusion tensor imaging sessions, on average 3 years apart, allowing measures of decline in intra-hippocampal microstructure as indexed by increased mean diffusivity. We measured memory decay at each imaging session using verbal delayed recall. One session of positron emission tomography, in 108 participants above 44 years of age, yielded 23 Aβ positive. Genotyping enabled control for APOE ε4 status, and polygenic scores for sleep and AD, respectively. RESULTS Worse global sleep quality and sleep efficiency related to more rapid reduction of hippocampal microstructure over time. Focusing on efficiency (the percentage of time in bed at night spent asleep), the relation was stronger in presence of Aβ accumulation, and hippocampal integrity decline mediated the relation with memory decay. The results were not explained by genetic risk for sleep efficiency or AD. CONCLUSIONS Worse sleep efficiency related to decline in hippocampal microstructure, especially in the presence of Aβ accumulation, and Aβ might link poor sleep and memory decay. As genetic risk did not account for the associations, poor sleep efficiency might constitute a risk marker for AD, although the driving causal mechanisms remain unknown.
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Affiliation(s)
- Håkon Grydeland
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
| | - Donatas Sederevičius
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
| | - Yunpeng Wang
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
| | - David Bartrés-Faz
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, Barcelona, Spain
| | - Lars Bertram
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
- Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Lübeck, Germany
| | - Valerija Dobricic
- Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Lübeck, Germany
| | - Sandra Düzel
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | | | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany, and London, UK
| | - Lars Nyberg
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
- Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
| | - Sara Pudas
- Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
| | | | - Cristina Solé-Padullés
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, Barcelona, Spain
| | - Øystein Sørensen
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
| | - Kristine B Walhovd
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
- Department of Radiology and Nuclear Medicine, University of Oslo, Oslo, Norway
| | - Anders M Fjell
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
- Department of Radiology and Nuclear Medicine, University of Oslo, Oslo, Norway
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22
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Karalija N, Köhncke Y, Düzel S, Bertram L, Papenberg G, Demuth I, Lill CM, Johansson J, Riklund K, Lövdén M, Bäckman L, Nyberg L, Lindenberger U, Brandmaier AM. A common polymorphism in the dopamine transporter gene predicts working memory performance and in vivo dopamine integrity in aging. Neuroimage 2021; 245:118707. [PMID: 34742942 DOI: 10.1016/j.neuroimage.2021.118707] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 10/04/2021] [Accepted: 11/01/2021] [Indexed: 11/17/2022] Open
Abstract
Dopamine (DA) integrity is suggested as a potential cause of individual differences in working memory (WM) performance among older adults. Still, the principal dopaminergic mechanisms giving rise to WM differences remain unspecified. Here, 61 single-nucleotide polymorphisms, located in or adjacent to various dopamine-related genes, were assessed for their links to WM performance in a sample of 1313 adults aged 61-80 years from the Berlin Aging Study II. Least Absolute Shrinkage and Selection Operator (LASSO) regression was conducted to estimate associations between polymorphisms and WM. Rs40184 in the DA transporter gene, SLC6A3, showed allelic group differences in WM, with T-carriers performing better than C homozygotes (p<0.01). This finding was replicated in an independent sample from the Cognition, Brain, and Aging study (COBRA; baseline: n = 181, ages: 64-68 years; 5-year follow up: n = 129). In COBRA, in vivo DA integrity was measured with 11C-raclopride and positron emission tomography. Notably, WM as well as in vivo DA integrity was higher for rs40184 T-carriers at baseline (p<0.05 for WM and caudate and hippocampal D2-receptor availability) and at the 5-year follow-up (p<0.05 for WM and hippocampal D2 availability). Our findings indicate that individual differences in DA transporter function contribute to differences in WM performance in old age, presumably by regulating DA availability.
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Affiliation(s)
- Nina Karalija
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany; Umeå center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden; Department of Radiation Sciences, Diagnostic Radiology, Umeå University, Umeå, Sweden.
| | - Ylva Köhncke
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Sandra Düzel
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Lars Bertram
- Lübeck Interdisciplinary Platform for Genome Analytics, University of Lübeck, Lübeck, Germany; Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
| | - Goran Papenberg
- Aging Research Center, Karolinska Institutet & Stockholm University, Solna, Sweden
| | - Ilja Demuth
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Endocrinology and Metabolism, Berlin, Germany; Charité - Universitätsmedizin Berlin, BCRT - Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany
| | - Christina M Lill
- Lübeck Interdisciplinary Platform for Genome Analytics, University of Lübeck, Lübeck, Germany; Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, UK
| | - Jarkko Johansson
- Umeå center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden; Department of Radiation Sciences, Diagnostic Radiology, Umeå University, Umeå, Sweden
| | - Katrine Riklund
- Umeå center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden; Department of Radiation Sciences, Diagnostic Radiology, Umeå University, Umeå, Sweden
| | - Martin Lövdén
- Department of psychology, University of Gothenburg, Gothenburg, Sweden
| | - Lars Bäckman
- Aging Research Center, Karolinska Institutet & Stockholm University, Solna, Sweden
| | - Lars Nyberg
- Umeå center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden; Department of Radiation Sciences, Diagnostic Radiology, Umeå University, Umeå, Sweden; Department of Integrative Medical Biology, Umeå University, Umeå, Sweden
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany; Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany, and London, UK
| | - Andreas M Brandmaier
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany; Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany, and London, UK
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23
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Buchmann N, Eckstein N, Spira D, Demuth I, Steinhagen-Thiessen E, Norman K. Vitamin D insufficiency is associated with metabolic syndrome independent of insulin resistance and obesity in young adults - The Berlin Aging Study II. Diabetes Metab Res Rev 2021; 37:e3457. [PMID: 33886146 DOI: 10.1002/dmrr.3457] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 02/15/2021] [Accepted: 02/18/2021] [Indexed: 12/29/2022]
Abstract
PURPOSE Age-related changes affect vitamin D absorption and metabolism. Low 25-hydroxyvitamin D concentrations have been reported as risk factor for the development of metabolic syndrome (MetS). However, recent evaluations suggest this association might be explained by obesity or insulin resistance (IR) in subjects with MetS. Our aim was to analyze associations between vitamin D insufficiency and MetS in a young cohort without diabetes and two senior cohorts with and without diabetes. METHODS Four hundred sixteen young and 1357 older BASE-II participants were analyzed. Type 2 diabetes (T2D) was defined according to European Society of Cardiology (ESC) guidelines, MetS as suggested by International Diabetes Federation/American Heart Association/National Heart, Lung and Blood Institute (IDF/AHA/NHLBI 2009). Vitamin D insufficiency was defined as 25-hydroxyvitamin D concentrations <50 nmol/L. Among other confounders, BMI and IR were taken into account. RESULTS MetS was prevalent in 7.7% of the young and in 35.6% of the older BASE-II participants and T2D occurred in 12.7% of the older participants. In young subjects without diabetes, vitamin D insufficiency was associated with an independent 3.2-fold increased odds of having MetS (OR: 3.2 CI: 1.0-8.7; p = 0.042). However, in the older participants, this association was lost once BMI was taken into account among those with diabetes, and once IR was taken into account among those without diabetes. CONCLUSION Independent associations between vitamin D insufficiency and MetS were only found among young subjects without diabetes. In the older adults, BMI annihilated these associations among subjects without diabetes as did HOMA-IR among subjects with diabetes.
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Affiliation(s)
- Nikolaus Buchmann
- Department of Cardiology, Charité - University Medicine Berlin (Campus Benjamin Franklin), Berlin, Germany
| | - Nils Eckstein
- Department of Endocrinology and Metabolic Diseases (Including Division of Lipid Metabolism), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Dominik Spira
- Department of Endocrinology and Metabolic Diseases (Including Division of Lipid Metabolism), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Ilja Demuth
- Department of Endocrinology and Metabolic Diseases (Including Division of Lipid Metabolism), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, BCRT - Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany
| | - Elisabeth Steinhagen-Thiessen
- Department of Endocrinology and Metabolic Diseases (Including Division of Lipid Metabolism), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Kristina Norman
- Department of Nutrition and Gerontology, German Institute for Human Nutrition Potsdam Rehbrücke, Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
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24
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Toepfer S, König M, Spira D, Drewelies J, Kreutz R, Bolbrinker J, Demuth I. Sex Differences in Characteristics Associated with Potentially Inappropriate Medication Use and Associations with Functional Capacity in Older Participants of the Berlin Aging Study II. Gerontology 2021; 68:664-672. [PMID: 34569530 DOI: 10.1159/000518411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Accepted: 07/04/2021] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Medication safety is a vital aim in older adults' pharmacotherapy. Increased morbidity and vulnerability require particularly careful prescribing. Beneath avoiding unnecessary polypharmacy and prescribing omissions, physicians have to be aware of potentially inappropriate medications (PIMs) and related outcomes to optimize older adults' drug therapy, and to reduce adverse drug events. OBJECTIVE The aim of this study was to identify participants characteristics associated with PIM use and associations of PIM use with functional capacity with a focus on sex differences. METHODS Multivariable logistic regression analyses of cross-sectional Berlin Aging Study II (BASE-II) data (N = 1,382, median age 69 years, interquartile range 67-71, 51.3% women) were performed with PIM classification according to the EU(7)-PIM list. RESULTS In the overall study population, higher education was associated with lower odds of PIM use (odds ratio [OR] 0.93, confidence interval [CI] 95% 0.87-0.99, p = 0.017). Falls (OR 1.53, CI 95% 1.08-2.17, p = 0.016), frailty/prefrailty (OR 1.68, 1.17-2.41, p = 0.005), and depression (OR 2.12, CI 95% 1.32-3.41, p = 0.002) were associated with increased odds of PIM use. A better nutritional status was associated with lower odds of PIM use (OR 0.88, CI 95% 0.81-0.97, p = 0.008). In the sex-stratified analysis, higher education was associated with lower odds of PIM use in men (OR 0.90, CI 95% 0.82-0.99, p = 0.032). Frailty/prefrailty was associated with increased odds of PIM use in men (OR 2.04, CI 95% 1.18-3.54, p = 0.011) and a better nutritional status was associated with lower odds of PIM use in men (OR 0.83, CI 95% 0.72-0.96, p = 0.011). Falls in the past 12 months were related to an increased prevalence of PIM use in women (OR 1.74, CI 95% 1.10-2.75, p = 0.019). Depression was associated with a higher prevalence of PIM use in both men (OR 2.74, CI 95% 1.20-6.24, p = 0.016) and women (OR 2.06, CI 95% 1.14-3.71, p = 0.017). We did not detect sex differences regarding the overall use of drugs with anticholinergic effects, but more men than women used PIMs referring to the cardiovascular system (p = 0.036), while more women than men used PIMs referring to the genitourinary system and sex hormones (p < 0.001). CONCLUSION We found similarities, but also differences between men and women as to the associations between PIM use and participants' characteristics and functional capacity assessments. The association of lower education with PIM use may suggest that physicians' prescribing behavior is modified by patient education, a relationship that could evolve from more critical attitudes of educated patients towards medication use. We conclude that sex differences in associations of PIM use with functional capacities might be partly attributable to sex differences in drug classes used, but not with regard to anticholinergics, as these are used to a similar extent in men and women in the cohort studied here.
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Affiliation(s)
- Sarah Toepfer
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Lipid Clinic at the Interdisciplinary Metabolism Center, Berlin, Germany,
| | - Maximilian König
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Lipid Clinic at the Interdisciplinary Metabolism Center, Berlin, Germany
| | - Dominik Spira
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Lipid Clinic at the Interdisciplinary Metabolism Center, Berlin, Germany
| | - Johanna Drewelies
- Humboldt-Universität zu Berlin, Department of Psychology, Berlin, Germany
| | - Reinhold Kreutz
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Clinical Pharmacology and Toxicology, Berlin, Germany
| | - Juliane Bolbrinker
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Clinical Pharmacology and Toxicology, Berlin, Germany
| | - Ilja Demuth
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Lipid Clinic at the Interdisciplinary Metabolism Center, Berlin, Germany.,Berlin Institute of Health at Charité - Universitätsmedizin Berlin, BCRT - Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany
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25
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Nikolov J, Norman K, Buchmann N, Spranger J, Demuth I, Steinhagen-Thiessen E, Spira D, Mai K. Association between meal-specific daily protein intake and lean mass in older adults: results of the cross-sectional BASE-II study. Am J Clin Nutr 2021; 114:1141-1147. [PMID: 33963728 DOI: 10.1093/ajcn/nqab144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2020] [Accepted: 04/06/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Adequate total and meal-specific protein intake is considered an important prerequisite to preserve appendicular lean mass (ALM) in older adults and to prevent sarcopenia. OBJECTIVES We analyzed the meal-specific protein intake across the main meals between participants with normal vs. low ALM to BMI ratio (ALMBMI). METHODS 782 participants [59.6% men; median 69 (IQR: 65, 71) y] of the Berlin Aging Study II have been included in this analysis. ALM was assessed by dual X-ray absorptiometry. Low lean mass was defined as ALMBMI using recommended sex-specific cut-offs. A 5-day nutritional protocol was used to assess total and meal-specific protein intake. RESULTS Median total protein intake was 0.89 (IQR: 0.74, 1.05) g/kg/d body weight (BW) in participants with low ALMBMI and 1.02 (IQR: 0.86, 1.21) g/kg BW in participants with normal ALMBMI (P < 0.001). Daily protein intake at breakfast was similar in both groups [0.23 (95% CI: 0.20, 0.26) vs. 0.24 (95% CI: 0.23, 0.26) g/kg BW; P = 0.245]. Subjects with low ALMBMI reported a lower protein intake at lunch and dinner compared with those with normal ALMBMI [0.29 (95% CI: 0.27, 0.32) vs. 0.35 (95% CI: 0.34, 0.36) g/kg BW; P = 0.001 and 0.32 (95% CI: 0.30, 0.35) vs. 0.36 (95% CI: 0.35, 0.37) g/kg BW; P = 0.027, respectively]. In a stepwise regression model, a higher total protein intake was positively associated with ALMBMI [ß = 0.10 (95% CI: 0.07, 0.13) P < 0.001]. The protein intake at dinner was positively associated with ALMBMI [ß = 0.14 (95% CI: 0.08, 0.19) P < 0.001] irrespective of protein intake at breakfast and lunch. This association disappeared after additional adjustment for total protein intake. CONCLUSION Our data highlight an association of total protein intake and ALMBMI in older adults. Although current data support an association of high ALMBMI with protein intake at dinner in particular, this was not independent from total protein intake and the findings do not allow a conclusion on causality.
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Affiliation(s)
- Jivko Nikolov
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Department of Endocrinology, Diabetes and Metabolism, Berlin Institute of Health, Berlin, Germany.,Department of Geriatrics, Intensive Care Unit, St. Joseph Hospital Berlin Tempelhof, Berlin, Germany
| | - Kristina Norman
- Research Group on Geriatrics, Charité - Universitätsmedizin Berlin, Berlin, Germany.,Department of Nutrition and Gerontology, German Institute of Human Nutrition Potsdam Rehbrücke, Nuthetal, Germany.,University of Potsdam, Institute of Nutritional Science, Nuthetal, Germany
| | - Nikolaus Buchmann
- Department of Cardiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Joachim Spranger
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Department of Endocrinology, Diabetes and Metabolism, Berlin Institute of Health, Berlin, Germany
| | - Ilja Demuth
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Department of Endocrinology, Diabetes and Metabolism, Berlin Institute of Health, Berlin, Germany.,Charité - Universitätsmedizin Berlin, BCRT - Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany
| | - Elisabeth Steinhagen-Thiessen
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Department of Endocrinology, Diabetes and Metabolism, Berlin Institute of Health, Berlin, Germany
| | - Dominik Spira
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Department of Endocrinology, Diabetes and Metabolism, Berlin Institute of Health, Berlin, Germany
| | - Knut Mai
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Department of Endocrinology, Diabetes and Metabolism, Berlin Institute of Health, Berlin, Germany.,DZHK (German Centre for Cardiovascular Research), partner site Berlin, Germany
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26
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Bender AR, Brandmaier AM, Düzel S, Keresztes A, Pasternak O, Lindenberger U, Kühn S. Hippocampal Subfields and Limbic White Matter Jointly Predict Learning Rate in Older Adults. Cereb Cortex 2021; 30:2465-2477. [PMID: 31800016 DOI: 10.1093/cercor/bhz252] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2019] [Revised: 08/20/2019] [Accepted: 10/01/2019] [Indexed: 12/21/2022] Open
Abstract
Age-related memory impairments have been linked to differences in structural brain parameters, including cerebral white matter (WM) microstructure and hippocampal (HC) volume, but their combined influences are rarely investigated. In a population-based sample of 337 older participants aged 61-82 years (Mage = 69.66, SDage = 3.92 years), we modeled the independent and joint effects of limbic WM microstructure and HC subfield volumes on verbal learning. Participants completed a verbal learning task of recall over five repeated trials and underwent magnetic resonance imaging (MRI), including structural and diffusion scans. We segmented three HC subregions on high-resolution MRI data and sampled mean fractional anisotropy (FA) from bilateral limbic WM tracts identified via deterministic fiber tractography. Using structural equation modeling, we evaluated the associations between learning rate and latent factors representing FA sampled from limbic WM tracts, and HC subfield volumes, and their latent interaction. Results showed limbic WM and the interaction of HC and WM-but not HC volume alone-predicted verbal learning rates. Model decomposition revealed HC volume is only positively associated with learning rate in individuals with higher WM anisotropy. We conclude that the structural characteristics of limbic WM regions and HC volume jointly contribute to verbal learning in older adults.
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Affiliation(s)
- Andrew R Bender
- Departments of Epidemiology and Biostatistics, Neurology and Ophthalmology, College of Human Medicine, Michigan State University, East Lansing, MI 48824, USA.,Center for Lifespan Psychology, Max Planck Institute for Human Development, D-14195 Berlin, Germany
| | - Andreas M Brandmaier
- Center for Lifespan Psychology, Max Planck Institute for Human Development, D-14195 Berlin, Germany.,Max Planck UCL Centre for Computational Psychiatry and Ageing Research, D-14195 Berlin, Germany and London, UK WC1B 5EH
| | - Sandra Düzel
- Center for Lifespan Psychology, Max Planck Institute for Human Development, D-14195 Berlin, Germany
| | - Attila Keresztes
- Center for Lifespan Psychology, Max Planck Institute for Human Development, D-14195 Berlin, Germany.,Research Centre for Natural Sciences, Hungarian Academy of Sciences, H-1117 Budapest, Hungary.,Faculty of Education and Psychology, Eötvös Loránd University, H-1053 Budapest, Hungary
| | - Ofer Pasternak
- Departments of Psychiatry and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, D-14195 Berlin, Germany.,Max Planck UCL Centre for Computational Psychiatry and Ageing Research, D-14195 Berlin, Germany and London, UK WC1B 5EH.,European University Institute, I-50014. San Domenico di Fiesole, Italy
| | - Simone Kühn
- Center for Lifespan Psychology, Max Planck Institute for Human Development, D-14195 Berlin, Germany.,Department of Psychiatry and Psychotherapy, University Clinic Hamburg-Eppendorf, 20246 Hamburg, Germany
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27
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Fjell AM, Grydeland H, Wang Y, Amlien IK, Bartres-Faz D, Brandmaier AM, Düzel S, Elman J, Franz CE, Håberg AK, Kietzmann TC, Kievit RA, Kremen WS, Krogsrud SK, Kühn S, Lindenberger U, Macía D, Mowinckel AM, Nyberg L, Panizzon MS, Solé-Padullés C, Sørensen Ø, Westerhausen R, Walhovd KB. The genetic organization of longitudinal subcortical volumetric change is stable throughout the lifespan. eLife 2021; 10:66466. [PMID: 34180395 PMCID: PMC8260220 DOI: 10.7554/elife.66466] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 06/26/2021] [Indexed: 11/13/2022] Open
Abstract
Development and aging of the cerebral cortex show similar topographic organization and are governed by the same genes. It is unclear whether the same is true for subcortical regions, which follow fundamentally different ontogenetic and phylogenetic principles. We tested the hypothesis that genetically governed neurodevelopmental processes can be traced throughout life by assessing to which degree brain regions that develop together continue to change together through life. Analyzing over 6000 longitudinal MRIs of the brain, we used graph theory to identify five clusters of coordinated development, indexed as patterns of correlated volumetric change in brain structures. The clusters tended to follow placement along the cranial axis in embryonic brain development, suggesting continuity from prenatal stages, and correlated with cognition. Across independent longitudinal datasets, we demonstrated that developmental clusters were conserved through life. Twin-based genetic correlations revealed distinct sets of genes governing change in each cluster. Single-nucleotide polymorphisms-based analyses of 38,127 cross-sectional MRIs showed a similar pattern of genetic volume–volume correlations. In conclusion, coordination of subcortical change adheres to fundamental principles of lifespan continuity and genetic organization.
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Affiliation(s)
- Anders Martin Fjell
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway.,Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Hakon Grydeland
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
| | - Yunpeng Wang
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
| | - Inge K Amlien
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
| | - David Bartres-Faz
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, and Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain
| | - Andreas M Brandmaier
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.,Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany
| | - Sandra Düzel
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Jeremy Elman
- Center for Behavioral Genomics Twin Research Laboratory, University of California, San Diego, La Jolla, United States
| | - Carol E Franz
- Center for Behavioral Genomics Twin Research Laboratory, University of California, San Diego, La Jolla, United States
| | - Asta K Håberg
- Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway.,Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Tim C Kietzmann
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom.,Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
| | - Rogier Andrew Kievit
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom
| | - William S Kremen
- Center for Behavioral Genomics Twin Research Laboratory, University of California, San Diego, La Jolla, United States.,Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, La Jolla, United States
| | - Stine K Krogsrud
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
| | - Simone Kühn
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.,Lise Meitner Group for Environmental Neuroscience, Max Planck Institute for Human Development, Berlin, Germany
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.,Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany
| | - Didac Macía
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, and Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain
| | - Athanasia Monika Mowinckel
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
| | - Lars Nyberg
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway.,Department of Radiation Sciences, Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
| | - Matthew S Panizzon
- Center for Behavioral Genomics Twin Research Laboratory, University of California, San Diego, La Jolla, United States.,Department of Psychiatry, University of California, San Diego, La Jolla, United States
| | - Cristina Solé-Padullés
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, and Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain
| | - Øystein Sørensen
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
| | - Rene Westerhausen
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
| | - Kristine Beate Walhovd
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway.,Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
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Löckenhoff CE, Drewelies J, Duezel S, Steinhagen-Thiessen E, Demuth I, Freund AM, Staudinger UM, Lindenberger U, Wagner GG, Ram N, Gerstorf D. Sociohistorical Change in Urban Older Adults' Perceived Speed of Time and Time Pressure. J Gerontol B Psychol Sci Soc Sci 2021; 77:457-466. [PMID: 34180501 DOI: 10.1093/geronb/gbab094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVES Perceptions of time are shaped by sociohistorical factors. Specifically, economic growth and modernization often engender a sense of acceleration. Research has primarily focused on one time perception dimension (perceived time pressure) in one subpopulation (working-age adults), but it is not clear whether historical changes extend to other dimensions (e.g., perceived speed of time) and other subpopulations, such as older adults who are no longer in the workforce and experience age-related shifts in time perception. We therefore examined sociohistorical and age-related trends in two dimensions of time perception in two cohorts of urban older adults. METHOD Using propensity score matching for age and education, samples were drawn from the Berlin Aging Study (1990-1993, n = 256, Mage = 77.49) and the Berlin Aging Study-II (2009-2014, n = 248, Mage = 77.49). Cohort differences in means, variances, covariance, and correlates of perceived speed of time and time pressure were examined using multigroup SEM. RESULTS There were no cohort differences in the perceived speed of time, but later-born cohorts reported more time pressure than earlier-born cohorts. There were no significant age differences, but perceptions of speed of time were more heterogeneous in the 1990s than in the 2010s. Cohorts did not differ in how time perceptions were associated with sociodemographic, health, cognitive, and psychosocial correlates. DISCUSSION These findings document sociohistorical trends toward greater perceived time pressure and reduced heterogeneity in perceived speed of time among later-born urban adults. Conceptualizations of social acceleration should thus consider the whole adult life span.
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Affiliation(s)
| | | | - Sandra Duezel
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | | | - Ilja Demuth
- Department of Endocrinology and Metabolic Medicine, Charite-Universitätsmedizin Berlin, Germany
| | - Alexandra M Freund
- Department of Psychology and University Research Priority Program "Dynamics of Healthy Aging," University of Zurich, Switzerland
| | | | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Gert G Wagner
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.,German Socio-Economic Panel Study (SOEP) at the German Institute for Economic Research (DIW) Berlin, Germany
| | - Nilam Ram
- Departments of Psychology and Communication, Stanford University, Palo Alto, California, USA
| | - Denis Gerstorf
- Department of Psychology, Humboldt University Berlin, Germany.,German Socio-Economic Panel Study (SOEP) at the German Institute for Economic Research (DIW) Berlin, Germany
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29
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Demuth I, Banszerus V, Drewelies J, Düzel S, Seeland U, Spira D, Tse E, Braun J, Steinhagen-Thiessen E, Bertram L, Thiel A, Lindenberger U, Regitz-Zagrosek V, Gerstorf D. Cohort profile: follow-up of a Berlin Aging Study II (BASE-II) subsample as part of the GendAge study. BMJ Open 2021; 11:e045576. [PMID: 34162642 PMCID: PMC8230995 DOI: 10.1136/bmjopen-2020-045576] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
PURPOSE The study 'Sex- and gender-sensitive prevention of cardiovascular and metabolic disease in older adults in Germany', the GendAge study, focuses on major risk factors for cardiovascular and metabolic diseases and on the development of major outcomes from intermediate phenotypes in the context of sex and gender differences. It is based on a follow-up examination of a subsample (older group) of the Berlin Aging Study II (BASE-II). PARTICIPANTS The GendAge study assessments took place between 22 June 2018 and 10 March 2020. A total of 1100 participants (older BASE-II subsample, aged ≥65 years) with baseline data assessed at least by one of the BASE-II partner sites were investigated in the follow-up. These participants had a mean age of 75.6 years (SD ±3.8), with a mean follow-up at 7.4 years (SD ±1.5). FINDINGS TO DATE Data from different domains such as internal medicine, geriatrics, immunology and psychology were collected, with a focus on cardiometabolic diseases and in the context of sex and gender differences. Diabetes mellitus type 2 was reported by 15.6% and 8.6% of men and women, respectively. In contrast, this disease was diagnosed in 20.7% of men and 13.3% of women, indicating that a substantial proportion of almost 30% was unaware of the disease. Echocardiography revealed that left ventricular ejection fraction was higher in women than in men, in agreement with previous reports. FUTURE PLANS A gender questionnaire assessing sociocultural aspects implemented as part of the follow-up described here will allow to calculate a gender score and its evaluation based on the newly collected data. At the same time, the other BASE-II research foci established over the past 10 years will be continued and strengthened by the BASE-II transition into a longitudinal study with follow-up data on the older subsample. TRIAL REGISTRATION NUMBER DRKS00016157.
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Affiliation(s)
- Ilja Demuth
- Department of Endocrinology and Metabolic Diseases (including Division of Lipid Metabolism), Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, and Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
- BCRT - Berlin Institute of Health Center for Regenerative Therapies, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Verena Banszerus
- Department of Endocrinology and Metabolic Diseases (including Division of Lipid Metabolism), Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, and Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Johanna Drewelies
- Department of Psychology, Humboldt University of Berlin, Berlin, Berlin, Germany
| | - Sandra Düzel
- Center for Lifespan Psychology, Max-Planck-Institute for Human Development, Berlin, Germany
| | - Ute Seeland
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Institute of Social Medicine, Epidemiology and Health Economics, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner site Berlin, Berlin, Germany
| | - Dominik Spira
- Department of Endocrinology and Metabolic Diseases (including Division of Lipid Metabolism), Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, and Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Esther Tse
- Berlin Institute for Gender in Medicine, Charite Universitatsmedizin Berlin, Berlin, Germany
| | - Julian Braun
- Si-M / "Der Simulierte Mensch" a science framework of Technische, Universitat Berlin andCharité - Universitatsmedizin Berlin, Berlin, Germany
- Regenerative Immunology and Aging, BIH Center for Regenerative Therapies, Charité Universitatsmedizin Berlin, Berlin, Germany
| | - Elisabeth Steinhagen-Thiessen
- Department of Endocrinology and Metabolic Diseases (including Division of Lipid Metabolism), Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, and Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Lars Bertram
- Lübeck Interdisciplinary Platform for Genome Analytics, University of Lübeck, Lübeck, Germany
- Center for Lifespan Changes in Brain and Cognition (LCBC), Dept of Psychology, University of Oslo, Oslo, Norway
| | - Andreas Thiel
- Si-M / "Der Simulierte Mensch" a science framework of Technische, Universitat Berlin andCharité - Universitatsmedizin Berlin, Berlin, Germany
- Regenerative Immunology and Aging, BIH Center for Regenerative Therapies, Charité Universitatsmedizin Berlin, Berlin, Germany
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max-Planck-Institute for Human Development, Berlin, Germany
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany
| | - Vera Regitz-Zagrosek
- DZHK (German Centre for Cardiovascular Research), Partner site Berlin, Berlin, Germany
- Berlin Institute for Gender in Medicine, Charite Universitatsmedizin Berlin, Berlin, Germany
- Department of Cardiology, University Hospital Zürich, University of Zürich, Zürich, Switzerland
| | - Denis Gerstorf
- Department of Psychology, Humboldt University of Berlin, Berlin, Berlin, Germany
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30
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Drewelies J, Eibich P, Düzel S, Kühn S, Krekel C, Goebel J, Kolbe J, Demuth I, Lindenberger U, Wagner GG, Gerstorf D. Location, Location, Location: The Role of Objective Neighborhood Characteristics for Perceptions of Control. Gerontology 2021; 68:214-223. [PMID: 34000719 DOI: 10.1159/000515634] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Accepted: 03/04/2021] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Control beliefs can protect against age-related declines in functioning. It is unclear whether neighborhood characteristics shape how much control people perceive over their life. This article studies associations of neighborhood characteristics with control beliefs of residents of a diverse metropolitan area (Berlin, Germany). METHODS We combine self-report data about perceptions of control obtained from participants in the Berlin Aging Study II (N = 507, 60-87 years, 51% women) with multisource geo-referenced indicators of neighborhood characteristics using linear regression models. RESULTS Findings indicate that objective neighborhood characteristics (i.e., unemployment rate) are indeed tied to perceptions of control, in particular, how much control participants feel others have over their lives. Including neighborhood characteristics in part doubled the amount of explained variance compared with a reference model covarying for demographic characteristics only (from R2 = 0.017 to R2 = 0.030 for internal control beliefs; R2 = 0.056 to R2 = 0.102 for external control beliefs in chance; R2 = 0.006 to R2 = 0.030 for external control beliefs in powerful others). DISCUSSION/CONCLUSION Findings highlight the importance of access to neighborhood resources for control beliefs across old age and can inform interventions to build up neighborhood characteristics which might be especially helpful in residential areas with high unemployment.
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Affiliation(s)
- Johanna Drewelies
- Department for Psychology, Humboldt University Berlin, Berlin, Germany
| | - Peter Eibich
- Max Planck Institute for Demographic Research, Rostock, Germany
| | - Sandra Düzel
- Max Planck Institute for Human Development, Berlin, Germany
| | - Simone Kühn
- Max Planck Institute for Human Development, Berlin, Germany
| | - Christian Krekel
- Department of Psychological and Behavioural Science, London School of Economics, London, UK
| | - Jan Goebel
- German Institute for Economic Research, Berlin, Germany
| | - Jens Kolbe
- Institute of Economics and Law, Technical University, Berlin, Germany
| | - Ilja Demuth
- Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Ulman Lindenberger
- Max Planck Institute for Human Development, Berlin, Germany
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany, and, London, UK
| | - Gert G Wagner
- Max Planck Institute for Human Development, Berlin, Germany
- German Institute for Economic Research, Berlin, Germany
| | - Denis Gerstorf
- Department for Psychology, Humboldt University Berlin, Berlin, Germany
- German Institute for Economic Research, Berlin, Germany
- Department of Human Development and Family Studies, Pennsylvania State University, University Park, University Park, Pennsylvania, USA
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31
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Sex differences in arterial wave reflection and the role of exogenous and endogenous sex hormones: results of the Berlin Aging Study II. J Hypertens 2021; 38:1040-1046. [PMID: 32371793 DOI: 10.1097/hjh.0000000000002386] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND Arterial stiffness is tightly linked to hypertension. Sex differences in hypertension and arterial stiffness have already been established, yet the role of sex hormones is not precisely defined. This study examined age and sex differences of arterial wave reflection and associations with endogenous and exogenous sex hormones in women. METHODS Pulse wave analysis was performed with an oscillometric device in 590 male and 400 female participants of the Berlin Aging Study II. Participants have been recruited from two age-strata, 22-35 years and 60-82 years. Data on exposures and potential confounders, including medication, have been collected at baseline visit. RESULTS Aumentation index (AIx) and pulse wave velocity increased with age. Mean AIx was higher in women than in men. Multivariable regression analysis showed a positive association between use of oral contraceptive pills (OCPs) and AIx controlling for confounders (age, BMI, current smoking, central blood pressure), with a significantly higher mean AIx in OCP-users compared with nonusers (mean group difference: 4.41; 95% confidence interval 1.61-7.22). Per quartile decrease in estradiol level AIx increased by 1.72 (95% confidence interval 0.43-3.00). In OCP users endogenous estradiol was largely suppressed. CONCLUSION The findings suggest important sex differences in measures of arterial wave reflection, with a higher mean AIx observed in women compared with men. OCPs may promote the development of hypertension by increasing AIx. Suppressed endogenous estradiol levels may be responsible for this increased wave reflection due to increased vasotonus of the small and medium arteries.
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32
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Fjell AM, Sørensen Ø, Amlien IK, Bartrés-Faz D, Bros DM, Buchmann N, Demuth I, Drevon CA, Düzel S, Ebmeier KP, Idland AV, Kietzmann TC, Kievit R, Kühn S, Lindenberger U, Mowinckel AM, Nyberg L, Price D, Sexton CE, Solé-Padullés C, Pudas S, Sederevicius D, Suri S, Wagner G, Watne LO, Westerhausen R, Zsoldos E, Walhovd KB. Self-reported sleep relates to hippocampal atrophy across the adult lifespan: results from the Lifebrain consortium. Sleep 2021; 43:5628807. [PMID: 31738420 PMCID: PMC7215271 DOI: 10.1093/sleep/zsz280] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Revised: 10/25/2019] [Indexed: 12/17/2022] Open
Abstract
Objectives Poor sleep is associated with multiple age-related neurodegenerative and neuropsychiatric conditions. The hippocampus plays a special role in sleep and sleep-dependent cognition, and accelerated hippocampal atrophy is typically seen with higher age. Hence, it is critical to establish how the relationship between sleep and hippocampal volume loss unfolds across the adult lifespan. Methods Self-reported sleep measures and MRI-derived hippocampal volumes were obtained from 3105 cognitively normal participants (18–90 years) from major European brain studies in the Lifebrain consortium. Hippocampal volume change was estimated from 5116 MRIs from 1299 participants for whom longitudinal MRIs were available, followed up to 11 years with a mean interval of 3.3 years. Cross-sectional analyses were repeated in a sample of 21,390 participants from the UK Biobank. Results No cross-sectional sleep—hippocampal volume relationships were found. However, worse sleep quality, efficiency, problems, and daytime tiredness were related to greater hippocampal volume loss over time, with high scorers showing 0.22% greater annual loss than low scorers. The relationship between sleep and hippocampal atrophy did not vary across age. Simulations showed that the observed longitudinal effects were too small to be detected as age-interactions in the cross-sectional analyses. Conclusions Worse self-reported sleep is associated with higher rates of hippocampal volume decline across the adult lifespan. This suggests that sleep is relevant to understand individual differences in hippocampal atrophy, but limited effect sizes call for cautious interpretation.
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Affiliation(s)
- Anders M Fjell
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Norway.,Department of Radiology and Nuclear Medicine, Oslo University Hospital, Norway
| | - Øystein Sørensen
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Norway
| | - Inge K Amlien
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Norway
| | - David Bartrés-Faz
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, and Institut de Neurociències, Universitat de Barcelona, Spain
| | - Didac Maciá Bros
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, and Institut de Neurociències, Universitat de Barcelona, Spain
| | - Nikolaus Buchmann
- Department of Cardiology, Charité - University Medicine Berlin Campus Benjamin Franklin, Berlin, Germany
| | - Ilja Demuth
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Lipid Clinic at the Interdisciplinary Metabolism Center, Germany
| | - Christian A Drevon
- Vitas AS, Research Park, Gaustadalleen 21, 0349, Oslo and 6 University of Oslo, Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, Medicine/University of Oslo, Norway
| | - Sandra Düzel
- Max Planck Institute for Human Development, Germany
| | | | - Ane-Victoria Idland
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Norway.,Oslo Delirium Research Group, Department of Geriatric Medicine, University of Oslo, Norway.,Institute of Basic Medical Sciences, University of Oslo, Norway
| | - Tim C Kietzmann
- MRC Cognition and Brain Sciences Unit, University of Cambridge, UK
| | - Rogier Kievit
- MRC Cognition and Brain Sciences Unit, University of Cambridge, UK
| | - Simone Kühn
- Max Planck Institute for Human Development, Germany.,Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Germany
| | | | | | - Lars Nyberg
- Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
| | - Darren Price
- MRC Cognition and Brain Sciences Unit, University of Cambridge, UK
| | - Claire E Sexton
- Department of Psychiatry, University of Oxford, UK.,Global Brain Health Institute, Department of Neurology, University of California San Francisco, CA.,Wellcome Centre for Integrative Neuroimaging, University of Oxford, UK
| | - Cristina Solé-Padullés
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, and Institut de Neurociències, Universitat de Barcelona, Spain
| | - Sara Pudas
- Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
| | | | - Sana Suri
- Department of Psychiatry, University of Oxford, UK.,Wellcome Centre for Integrative Neuroimaging, University of Oxford, UK
| | - Gerd Wagner
- Psychiatric Brain and Body Research Group, Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Leiv Otto Watne
- Oslo Delirium Research Group, Department of Geriatric Medicine, University of Oslo, Norway
| | - René Westerhausen
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Norway
| | - Enikő Zsoldos
- Department of Psychiatry, University of Oxford, UK.,Wellcome Centre for Integrative Neuroimaging, University of Oxford, UK
| | - Kristine B Walhovd
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Norway.,Department of Radiology and Nuclear Medicine, Oslo University Hospital, Norway
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König M, Buchmann N, Seeland U, Spira D, Steinhagen-Thiessen E, Demuth I. Low muscle strength and increased arterial stiffness go hand in hand. Sci Rep 2021; 11:2906. [PMID: 33536474 PMCID: PMC7859241 DOI: 10.1038/s41598-021-81084-z] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Accepted: 12/29/2020] [Indexed: 12/18/2022] Open
Abstract
Low handgrip strength and increased arterial stiffness are both associated with poor health outcomes, but evidence on the relationship between handgrip strength and arterial stiffness is limited. In this cross-sectional analysis of combined baseline datasets from the LipidCardio and Berlin Aging Study II cohorts we aimed to examine whether handgrip strength (HGS) is associated with arterial stiffness. 1511 participants with a median age of 68.56 (IQR 63.13–73.08) years were included. Arterial stiffness was assessed by aortal pulse wave velocity (PWV) with the Mobil-O-Graph device. Handgrip strength was assessed with a handheld dynamometer. The mean HGS was 39.05 ± 9.07 kg in men and 26.20 ± 7.47 kg in women. According to multivariable linear regression analysis per 5 kg decrease in handgrip strength there was a mean increase in PWV of 0.08 m/s after adjustment for the confounders age, sex, coronary artery disease, systolic blood pressure, body mass index, cohort, and smoking. Thus, there was evidence that low handgrip strength and increased arterial stiffness go hand in hand. Arterial stiffness can possibly create the missing link between low handgrip strength and increased cardiovascular morbidity and mortality. Causality and direction of causality remain to be determined.
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Affiliation(s)
- Maximilian König
- Department of Endocrinology and Metabolism, Charité-Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.
| | - Nikolaus Buchmann
- Department of Cardiology (Campus Benjamin Franklin), Charité-Universitätsmedizin Berlin, Hindenburgdamm 30, 12203, Berlin, Germany
| | - Ute Seeland
- Institute of Gender in Medicine (GiM), Center for Cardiovascular Research (CCR), Charité-Universitätsmedizin Berlin, Berlin, Germany.,DZHK (German Centre for Cardiovascular Research), Berlin, Germany
| | - Dominik Spira
- Department of Endocrinology and Metabolism, Charité-Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Elisabeth Steinhagen-Thiessen
- Department of Endocrinology and Metabolism, Charité-Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Ilja Demuth
- Department of Endocrinology and Metabolism, Charité-Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.,BCRT - Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany
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34
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Kronenberg G, Gertz K, Schöner J, Bertram L, Liman T, Steinhagen-Thiessen E, Demuth I, Endres M, Hellweg R. BDNF serum concentrations in 2053 participants of the Berlin Aging Study II. Neurobiol Aging 2021; 101:221-223. [PMID: 33636574 DOI: 10.1016/j.neurobiolaging.2021.01.020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Revised: 08/30/2020] [Accepted: 01/25/2021] [Indexed: 12/27/2022]
Abstract
Serum BDNF concentrations in 2053 participants of the Berlin Aging Study II (BASE-II; 1572 individuals from the older age group [60-85 years], 481 individuals from the younger-age reference group [22-37 years]) were studied. There was no effect of age, sex, body mass index, self-reported depression, or BDNF Val66Met variant on serum BDNF concentrations. Multiple linear regression analysis failed to detect significant relationships of Digit Symbol Substitution Test score and Consortium to Establish a Registry for Alzheimer's Disease memory score to BDNF levels. However, we detected a positive correlation between platelet counts and BDNF levels (r = 0.303, p < 0.001). Our findings do not support an effect of aging, self-reported depression, or the Val66Met variant on serum BDNF concentrations. The role of thrombocytes in the biology of serum BDNF merits further study.
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Affiliation(s)
- Golo Kronenberg
- College of Life Sciences, University of Leicester, Leicester, UK; Leicestershire Partnership National Health Service Trust, Leicester, UK.
| | - Karen Gertz
- Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Klinik und Hochschulambulanz für Neurologie und Centrum für Schlaganfallforschung Berlin (CSB), Berlin, Germany
| | - Johanna Schöner
- Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Klinik und Hochschulambulanz für Neurologie und Centrum für Schlaganfallforschung Berlin (CSB), Berlin, Germany; Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Klinik und Poliklinik für Psychiatrie und Psychotherapie, Berlin, Germany
| | - Lars Bertram
- Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Lübeck, Germany; Department of Psychology, University of Oslo, Oslo, Norway
| | - Thomas Liman
- Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Klinik und Hochschulambulanz für Neurologie und Centrum für Schlaganfallforschung Berlin (CSB), Berlin, Germany
| | - Elisabeth Steinhagen-Thiessen
- Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Lipid Clinic at the Interdisciplinary Metabolism Center, Germany
| | - Ilja Demuth
- Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Lipid Clinic at the Interdisciplinary Metabolism Center, Germany; Charité - Universitätsmedizin Berlin, BCRT - Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany
| | - Matthias Endres
- Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Klinik und Hochschulambulanz für Neurologie und Centrum für Schlaganfallforschung Berlin (CSB), Berlin, Germany; DZHK (German Centre for Cardiovascular Research), Berlin, Germany; Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Berlin, Germany
| | - Rainer Hellweg
- Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Klinik und Poliklinik für Psychiatrie und Psychotherapie, Berlin, Germany
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Nauman AT, Behlouli H, Alexander N, Kendel F, Drewelies J, Mantantzis K, Berger N, Wagner GG, Gerstorf D, Demuth I, Pilote L, Regitz-Zagrosek V. Gender score development in the Berlin Aging Study II: a retrospective approach. Biol Sex Differ 2021; 12:15. [PMID: 33461607 PMCID: PMC7814714 DOI: 10.1186/s13293-020-00351-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 12/21/2020] [Indexed: 01/18/2023] Open
Abstract
In addition to biological sex, gender, defined as the sociocultural dimension of being a woman or a man, plays a central role in health. However, there are so far few approaches to quantify gender in a retrospective manner in existing study datasets. We therefore aimed to develop a methodology that can be retrospectively applied to assess gender in existing cohorts. We used baseline data from the Berlin Aging Study II (BASE-II), obtained in 2009-2014 from 1869 participants aged 60 years and older. We identified 13 gender-related variables and used them to construct a gender score by using primary component and logistic regression analyses. Of these, nine variables contributed to a gender score: chronic stress, marital status, risk-taking behaviour, personality attributes: agreeableness, neuroticism, extraversion, loneliness, conscientiousness, and level of education. Females and males differed significantly in the distribution of the gender score, but a significant overlap was also found. Thus, we were able to develop a gender score in a retrospective manner from already collected data that characterized participants in addition to biological sex. This approach will allow researchers to introduce the notion of gender retrospectively into a large number of studies.
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Affiliation(s)
- Ahmad Tauseef Nauman
- Berlin Institute for Gender in Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany.
- CCR (Centre for Cardiovascular Research) Berlin, Berlin, Germany.
- DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany.
| | - Hassan Behlouli
- Centre for Outcomes Research & Evaluation, Research Institute of the McGill University Health Centre, Department of Medicine, McGill University, Montreal, Canada
| | - Nicholas Alexander
- Berlin Institute for Gender in Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany
- CCR (Centre for Cardiovascular Research) Berlin, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany
| | - Friederike Kendel
- Gender in Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Johanna Drewelies
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | | | - Nora Berger
- Medical Clinic for Endocrinology, Biology of Aging group, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Gert G Wagner
- SocioEconomic Panel at the German Institute for Economic Research (DIW), Berlin, Germany
| | - Denis Gerstorf
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Ilja Demuth
- Medical Clinic for Endocrinology, Biology of Aging group, Charité - Universitätsmedizin Berlin, Berlin, Germany
- Charité - Universitätsmedizin Berlin, BCRT - Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany
| | - Louise Pilote
- DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany
- Department of Medicine, McGill University, Montreal, Canada
| | - Vera Regitz-Zagrosek
- Berlin Institute for Gender in Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany.
- CCR (Centre for Cardiovascular Research) Berlin, Berlin, Germany.
- DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany.
- Department of Cardiology, University Hospital Zurich, Zurich, Switzerland.
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Sbierski-Kind J, Goldeck D, Buchmann N, Spranger J, Volk HD, Steinhagen-Thiessen E, Pawelec G, Demuth I, Spira D. T cell phenotypes associated with insulin resistance: results from the Berlin Aging Study II. IMMUNITY & AGEING 2020; 17:40. [PMID: 33349270 PMCID: PMC7751110 DOI: 10.1186/s12979-020-00211-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/26/2020] [Accepted: 11/30/2020] [Indexed: 12/14/2022]
Abstract
Background Obesity is associated with chronic low-grade inflammation leading to metabolic and cardiovascular diseases, but a subset of obese individuals is considered insulin sensitive (IS). The underlying pathophysiologic mechanisms remain elusive and clinical studies on the relationship between inflammatory markers and metabolically healthy obesity (MHO) are scarce. Methods In this cross-sectional analysis, we included a sample of 437 older participants (60–84 years) from the Berlin Aging Study II (BASE-II). Peripheral blood mononuclear cells were isolated, immune cell subsets were analyzed with multiparameter flow cytometry and systemic cytokine levels were measured. Immune cell parameters were correlated with metabolic measures and multiple linear regression analysis was conducted and adjusted for various demographic and clinical factors. Results We found that frequencies of naïve and memory CD4+ and CD8+ T cells inversely correlated with measures for insulin sensitivity in the older population. Moreover, the percentages of naïve CD4+ and CD8+ T cells were significantly higher, whereas activated T cells and IL-6 levels were lower in IS compared to insulin resistant (IR) obese individuals. The percentages of naïve CD4+ and CD8+ T cells were predictive for impaired insulin sensitivity (ß = 0.16, p = 0.01 and ß = 0.11, p = 0.04), and the association of naïve CD4+ T cells with insulin sensitivity persisted after multivariate adjustment (ß = 0.14, p = 0.02). Conclusions These findings support the hypothesis that parameters of systemic inflammation can differentiate IS from IR obese individuals that are at higher risk for cardiometabolic diseases and may have clinical implications with regard to obesity treatment stratification. Trial registration DRKS00009277. Registered 31 August 2015 - Retrospectively registered. Supplementary Information The online version contains supplementary material available at 10.1186/s12979-020-00211-y.
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Affiliation(s)
- Julia Sbierski-Kind
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Department of Endocrinology and Metabolism, Berlin Institute of Health, Chariteplatz 1, 10117, Berlin, Germany. .,Present Address: Dept. of Laboratory Medicine, University of California, San Francisco, HSW1201U, Box 0451, 513 Parnassus Ave, San Francisco, CA, 94143-0451, USA.
| | | | - Nikolaus Buchmann
- Clinic for Cardiology, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Joachim Spranger
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Department of Endocrinology and Metabolism, Berlin Institute of Health, Chariteplatz 1, 10117, Berlin, Germany.,Center for Cardiovascular Research (CCR), Department of Endocrinology and Metabolism, Charité-Universitätsmedizin Berlin, Berlin, Germany.,German Center for Cardiovascular Research (DZHK), partner site Berlin, Berlin, Germany
| | - Hans-Dieter Volk
- Berlin Institute of Health (BIH) Center for Regenerative Therapies (BCRT), Charité - Universitätsmedizin Berlin, Berlin, Germany.,Berlin Center for Advanced Therapies (BeCAT), Charité - Universitätsmedizin Berlin, Berlin, Germany.,Institute of Medical Immunology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Elisabeth Steinhagen-Thiessen
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Department of Endocrinology and Metabolism, Berlin Institute of Health, Chariteplatz 1, 10117, Berlin, Germany
| | - Graham Pawelec
- Department of Immunology, University of Tübingen, Tübingen, Germany.,Health Sciences North Research Institute, Sudbury, ON, Canada
| | - Ilja Demuth
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Department of Endocrinology and Metabolism, Berlin Institute of Health, Chariteplatz 1, 10117, Berlin, Germany.,Berlin Institute of Health (BIH) Center for Regenerative Therapies (BCRT), Charité - Universitätsmedizin Berlin, Berlin, Germany.,Berlin Center for Advanced Therapies (BeCAT), Charité - Universitätsmedizin Berlin, Berlin, Germany.,Institute of Medical Immunology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Dominik Spira
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Department of Endocrinology and Metabolism, Berlin Institute of Health, Chariteplatz 1, 10117, Berlin, Germany
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Fjell AM, Sørensen Ø, Amlien IK, Bartrés-Faz D, Brandmaier AM, Buchmann N, Demuth I, Drevon CA, Düzel S, Ebmeier KP, Ghisletta P, Idland AV, Kietzmann TC, Kievit RA, Kühn S, Lindenberger U, Magnussen F, Macià D, Mowinckel AM, Nyberg L, Sexton CE, Solé-Padullés C, Pudas S, Roe JM, Sederevicius D, Suri S, Vidal-Piñeiro D, Wagner G, Watne LO, Westerhausen R, Zsoldos E, Walhovd KB. Poor Self-Reported Sleep is Related to Regional Cortical Thinning in Aging but not Memory Decline-Results From the Lifebrain Consortium. Cereb Cortex 2020; 31:1953-1969. [PMID: 33236064 PMCID: PMC7945023 DOI: 10.1093/cercor/bhaa332] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 09/17/2020] [Accepted: 10/12/2020] [Indexed: 12/16/2022] Open
Abstract
We examined whether sleep quality and quantity are associated with cortical and memory changes in cognitively healthy participants across the adult lifespan. Associations between self-reported sleep parameters (Pittsburgh Sleep Quality Index, PSQI) and longitudinal cortical change were tested using five samples from the Lifebrain consortium (n = 2205, 4363 MRIs, 18–92 years). In additional analyses, we tested coherence with cell-specific gene expression maps from the Allen Human Brain Atlas, and relations to changes in memory performance. “PSQI # 1 Subjective sleep quality” and “PSQI #5 Sleep disturbances” were related to thinning of the right lateral temporal cortex, with lower quality and more disturbances being associated with faster thinning. The association with “PSQI #5 Sleep disturbances” emerged after 60 years, especially in regions with high expression of genes related to oligodendrocytes and S1 pyramidal neurons. None of the sleep scales were related to a longitudinal change in episodic memory function, suggesting that sleep-related cortical changes were independent of cognitive decline. The relationship to cortical brain change suggests that self-reported sleep parameters are relevant in lifespan studies, but small effect sizes indicate that self-reported sleep is not a good biomarker of general cortical degeneration in healthy older adults.
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Affiliation(s)
- Anders M Fjell
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0315 Oslo, Norway.,Department of Radiology and Nuclear Medicine, Oslo University Hospital, 0188 Oslo, Norway
| | - Øystein Sørensen
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0315 Oslo, Norway
| | - Inge K Amlien
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0315 Oslo, Norway
| | - David Bartrés-Faz
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Institut de Neurociències, Universitat de Barcelona, 08007 Barcelona, Spain
| | - Andreas M Brandmaier
- Center for Lifespan Psychology, Max Planck Institute for Human Development, 14195 Berlin, Germany.,Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany, and London, UK
| | - Nikolaus Buchmann
- Department of Cardiology, Charité - University Medicine Berlin Campus Benjamin Franklin, 12203 Berlin, Germany
| | - Ilja Demuth
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Lipid Clinic at the Interdisciplinary Metabolism Center, Charité - Universitätsmedizin Berlin, BCRT - Berlin Institute of Health Center for Regenerative Therapies, 10117 Berlin, Germany
| | - Christian A Drevon
- Vitas AS, Research Park, Gaustadalleen 21, 0349 Oslo, Norway.,Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, 0315 Oslo, Norway
| | - Sandra Düzel
- Center for Lifespan Psychology, Max Planck Institute for Human Development, 14195 Berlin, Germany
| | - Klaus P Ebmeier
- Department of Psychiatry, University of Oxford, Oxford OX1 2JD UK
| | - Paolo Ghisletta
- Faculty of Psychology and Educational Sciences, Swiss Distance University Institute, Swiss National Centre of Competence in Research LIVES, University of Geneva, 1205 Geneva, Switzerland
| | - Ane-Victoria Idland
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0315 Oslo, Norway.,Oslo Delirium Research Group, Department of Geriatric Medicine, University of Oslo, 0315 Oslo, Norway.,Institute of Basic Medical Sciences, University of Oslo, 0315 Oslo, Norway
| | - Tim C Kietzmann
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge CB2 1TN, UK.,Donders Institute for Brain, Cognition and Behaviour, Radboud University, 6525 XZ Nijmegen, The Netherlands
| | - Rogier A Kievit
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge CB2 1TN, UK
| | - Simone Kühn
- Center for Lifespan Psychology, Max Planck Institute for Human Development, 14195 Berlin, Germany.,Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, 14195 Berlin, Germany.,Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany, and London, UK
| | - Fredrik Magnussen
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0315 Oslo, Norway
| | - Didac Macià
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Institut de Neurociències, Universitat de Barcelona, 08007 Barcelona, Spain
| | - Athanasia M Mowinckel
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0315 Oslo, Norway
| | - Lars Nyberg
- Umeå Center for Functional Brain Imaging, Umeå University, 901 87 Umeå, Sweden
| | - Claire E Sexton
- Department of Psychiatry, University of Oxford, Oxford OX1 2JD UK.,Global Brain Health Institute, Department of Neurology, University of California, San Francisco, San Francisco, CA 94143, USA.,Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford OX1 2JD, UK
| | - Cristina Solé-Padullés
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Institut de Neurociències, Universitat de Barcelona, 08007 Barcelona, Spain
| | - Sara Pudas
- Umeå Center for Functional Brain Imaging, Umeå University, 901 87 Umeå, Sweden
| | - James M Roe
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0315 Oslo, Norway
| | - Donatas Sederevicius
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0315 Oslo, Norway
| | - Sana Suri
- Department of Psychiatry, University of Oxford, Oxford OX1 2JD UK.,Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford OX1 2JD, UK
| | - Didac Vidal-Piñeiro
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0315 Oslo, Norway
| | - Gerd Wagner
- Psychiatric Brain and Body Research Group, Department of Psychiatry and Psychotherapy, Jena University Hospital, 07743 Jena, Germany
| | - Leiv Otto Watne
- Oslo Delirium Research Group, Department of Geriatric Medicine, University of Oslo, 0315 Oslo, Norway
| | - René Westerhausen
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0315 Oslo, Norway
| | - Enikő Zsoldos
- Department of Psychiatry, University of Oxford, Oxford OX1 2JD UK.,Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford OX1 2JD, UK
| | - Kristine B Walhovd
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, 0315 Oslo, Norway.,Department of Radiology and Nuclear Medicine, Oslo University Hospital, 0188 Oslo, Norway
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Sørensen Ø, Brandmaier AM, Macià D, Ebmeier K, Ghisletta P, Kievit RA, Mowinckel AM, Walhovd KB, Westerhausen R, Fjell A. Meta-analysis of generalized additive models in neuroimaging studies. Neuroimage 2020; 224:117416. [PMID: 33017652 DOI: 10.1016/j.neuroimage.2020.117416] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Revised: 09/23/2020] [Accepted: 09/25/2020] [Indexed: 12/15/2022] Open
Abstract
Analyzing data from multiple neuroimaging studies has great potential in terms of increasing statistical power, enabling detection of effects of smaller magnitude than would be possible when analyzing each study separately and also allowing to systematically investigate between-study differences. Restrictions due to privacy or proprietary data as well as more practical concerns can make it hard to share neuroimaging datasets, such that analyzing all data in a common location might be impractical or impossible. Meta-analytic methods provide a way to overcome this issue, by combining aggregated quantities like model parameters or risk ratios. Most meta-analytic tools focus on parametric statistical models, and methods for meta-analyzing semi-parametric models like generalized additive models have not been well developed. Parametric models are often not appropriate in neuroimaging, where for instance age-brain relationships may take forms that are difficult to accurately describe using such models. In this paper we introduce meta-GAM, a method for meta-analysis of generalized additive models which does not require individual participant data, and hence is suitable for increasing statistical power while upholding privacy and other regulatory concerns. We extend previous works by enabling the analysis of multiple model terms as well as multivariate smooth functions. In addition, we show how meta-analytic p-values can be computed for smooth terms. The proposed methods are shown to perform well in simulation experiments, and are demonstrated in a real data analysis on hippocampal volume and self-reported sleep quality data from the Lifebrain consortium. We argue that application of meta-GAM is especially beneficial in lifespan neuroscience and imaging genetics. The methods are implemented in an accompanying R package metagam, which is also demonstrated.
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Affiliation(s)
- Øystein Sørensen
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Pb. 1094 Blindern, Oslo 0317, Norway.
| | - Andreas M Brandmaier
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany; Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany
| | - Dídac Macià
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, and Institut de Neurociències, Universitat de Barcelona, Spain
| | | | - Paolo Ghisletta
- Faculty of Psychology and Educational Sciences, University of Geneva, Switzerland; Swiss Distance University Institute, Switzerland; Swiss National Centre of Competence in Research LIVES, University of Geneva, Switzerland
| | - Rogier A Kievit
- MRC Cognition and Brain Sciences Unit, University of Cambridge, UK
| | - Athanasia M Mowinckel
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Pb. 1094 Blindern, Oslo 0317, Norway
| | - Kristine B Walhovd
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Pb. 1094 Blindern, Oslo 0317, Norway; Department of Radiology and Nuclear Medicine, Oslo University Hospital, Norway
| | - Rene Westerhausen
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Pb. 1094 Blindern, Oslo 0317, Norway
| | - Anders Fjell
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Pb. 1094 Blindern, Oslo 0317, Norway; Department of Radiology and Nuclear Medicine, Oslo University Hospital, Norway
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Spira D, Buchmann N, Mai K, Bobbert T, Spranger J, Demuth I, Steinhagen-Thiessen E. Sarkopenie im Kontext von Insulinresistenz und Diabetes mellitus im Alter – Daten aus der Berliner Altersstudie II. DIABETOL STOFFWECHS 2020. [DOI: 10.1055/a-1223-1888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Zusammenfassung
Hintergrund Diabetes mellitus Typ 2 (T2DM) und Sarkopenie nehmen mit steigendem Alter in ihrer Prävalenz zu und können langfristig betrachtet jeweils zu erheblichen gesundheitlichen und funktionellen Einschränkungen führen. Während eine zunehmende Insulinresistenz bei abnehmender Muskelmasse plausibel erscheint, sind umgekehrt auch glukotoxische negative Effekte auf die Skelettmuskulatur im Sinne einer sekundären Sarkopenie denkbar. Ziel dieser Arbeit war es, den Zusammenhang zwischen Sarkopenie, Insulinresistenz und T2DM bei älteren Menschen zu untersuchen.
Methoden Untersucht wurden 1555 Probanden der Berliner Altersstudie II (BASE-II) mit einem durchschnittlichen Alter von 68 ± 4 Jahren. Die Diagnose T2DM wurde basierend auf der Anamnese sowie oralem Glukosetoleranztest und HbA1c-Wert nach ADA-Kriterien gestellt und die Insulinresistenz wurde via Homeostatic Model Assessment for Insulin resistance (HOMA-IR) und Insulinsensitivitätsindex nach Matsuda (ISI) eingeschätzt. Die appendikuläre Skelettmuskelmasse (ALM) wurde mittels Dual-Röntgen-Absorptiometrie (DXA) und eine Sarkopenie mithilfe der anhand des Body-Mass-Index (BMI) korrigierten Muskelmasse (ALM/BMI) nach den Cut-off-Werten des FNIH Sarcopenia Project bestimmt. Gruppenvergleiche wurden mittels Kruskal-Wallis-Test berechnet, und der Zusammenhang zwischen Diabetes mellitus und Sarkopenie bzw. ALM und Insulinresistenz wurde mittels geeigneter Regressionsmodelle überprüft.
Ergebnisse 25,2 % der insgesamt 160 Probanden mit T2DM hatten bereits eine Sarkopenie. Sarkopenisch-adipöse Probanden wiesen im Vergleich zu nur adipösen, nur sarkopenen oder weder adipösen noch sarkopenen Probanden im Median einen niedrigeren ISI und einen höheren HOMA-IR auf (jeweils p < 0,001). T2DM zeigte sich unabhängig assoziiert mit Sarkopenie (OR 3,293, 95 %-KI 1,984–5,466, p < 0,001), während nach Ausschluss bekannter Diabetiker eine höhere ALM mit einem höheren ISI (B 0,229, 95 %-KI 0,119–0,338; p < 0,001), nicht jedoch niedrigerem HOMA-IR (B –0,017, 95 %-KI –0,089–0,055; p = 0,640) einherging.
Diskussion Sarkopenie ist sowohl mit Insulinresistenz als auch T2DM assoziiert. Die Frage bzgl. der Kausalität ist aufgrund des querschnittlichen Designs der Studie nicht zu beantworten, jedoch sollte eine mögliche Rolle des T2DM als sekundäre Sarkopenieursache berücksichtigt und weiter untersucht werden. Im Hinblick auf mögliche Folgen erscheinen die Identifizierung von Risikopatienten mit kombiniertem Auftreten von Sarkopenie und Insulinresistenz und die Evaluation basaler präventiver Maßnahmen wie gezieltes körperliches Training und angepasste Ernährung ein weiterführendes sinnvolles Ziel.
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Affiliation(s)
- Dominik Spira
- Klinik für Endokrinologie und Stoffwechselmedizin, Charité Universitätsmedizin Berlin, Germany
| | - Nikolaus Buchmann
- Medizinische Klinik für Kardiologie, Charité Universitätsmedizin Berlin, Germany
| | - Knut Mai
- Klinik für Endokrinologie und Stoffwechselmedizin, Charité Universitätsmedizin Berlin, Germany
| | - Thomas Bobbert
- Klinik für Endokrinologie und Stoffwechselmedizin, Charité Universitätsmedizin Berlin, Germany
| | - Joachim Spranger
- Klinik für Endokrinologie und Stoffwechselmedizin, Charité Universitätsmedizin Berlin, Germany
| | - Ilja Demuth
- Berlin Institute of Health Center for Regenerative Therapies, Charité Universitätsmedizin Berlin, Germany
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Gorbach T, Pudas S, Bartrés-Faz D, Brandmaier AM, Düzel S, Henson RN, Idland AV, Lindenberger U, Macià Bros D, Mowinckel AM, Solé-Padullés C, Sørensen Ø, Walhovd KB, Watne LO, Westerhausen R, Fjell AM, Nyberg L. Longitudinal association between hippocampus atrophy and episodic-memory decline in non-demented APOE ε4 carriers. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2020; 12:e12110. [PMID: 33015312 PMCID: PMC7521596 DOI: 10.1002/dad2.12110] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Accepted: 08/26/2020] [Indexed: 11/15/2022]
Abstract
INTRODUCTION The apolipoprotein E (APOE) ε4 allele is the main genetic risk factor for Alzheimer's disease (AD), accelerated cognitive aging, and hippocampal atrophy, but its influence on the association between hippocampus atrophy and episodic-memory decline in non-demented individuals remains unclear. METHODS We analyzed longitudinal (two to six observations) magnetic resonance imaging (MRI)-derived hippocampal volumes and episodic memory from 748 individuals (55 to 90 years at baseline, 50% female) from the European Lifebrain consortium. RESULTS The change-change association for hippocampal volume and memory was significant only in ε4 carriers (N = 173, r = 0.21, P = .007; non-carriers: N = 467, r = 0.073, P = .117). The linear relationship was significantly steeper for the carriers [t(629) = 2.4, P = .013]. A similar trend toward a stronger change-change relation for carriers was seen in a subsample with more than two assessments. DISCUSSION These findings provide evidence for a difference in hippocampus-memory association between ε4 carriers and non-carriers, thus highlighting how genetic factors modulate the translation of the AD-related pathophysiological cascade into cognitive deficits.
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Affiliation(s)
- Tetiana Gorbach
- Department of Integrative Medical Biology Umeå University Umeå Sweden
- Umeå Center for Functional Brain Imaging Umeå University Umeå Sweden
| | - Sara Pudas
- Department of Integrative Medical Biology Umeå University Umeå Sweden
- Umeå Center for Functional Brain Imaging Umeå University Umeå Sweden
| | - David Bartrés-Faz
- Department of Medicine, Faculty of Medicine and Health Sciences University of Barcelona Barcelona Spain
| | - Andreas M Brandmaier
- Center for Lifespan Psychology Max Planck Institute for Human Development Berlin Germany
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research Berlin Germany
| | - Sandra Düzel
- Center for Lifespan Psychology Max Planck Institute for Human Development Berlin Germany
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research Berlin Germany
| | - Richard N Henson
- MRC Cognition and Brain Sciences Unit University of Cambridge, Cambridge UK
| | - Ane-Victoria Idland
- Oslo Delirium Research Group, Department of Geriatric Medicine University of Oslo, Oslo Norway
| | - Ulman Lindenberger
- Center for Lifespan Psychology Max Planck Institute for Human Development Berlin Germany
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research Berlin Germany
| | - Didac Macià Bros
- Department of Medicine, Faculty of Medicine and Health Sciences University of Barcelona Barcelona Spain
| | | | - Cristina Solé-Padullés
- Department of Medicine, Faculty of Medicine and Health Sciences University of Barcelona Barcelona Spain
| | - Øystein Sørensen
- Center for Lifespan Changes in Brain and Cognition University of Oslo, Oslo Norway
| | - Kristine B Walhovd
- Center for Lifespan Changes in Brain and Cognition University of Oslo, Oslo Norway
- Department of Radiology and Nuclear Medicine Oslo University Hospital, Oslo Norway
| | - Leiv Otto Watne
- MRC Cognition and Brain Sciences Unit University of Cambridge, Cambridge UK
| | - René Westerhausen
- Center for Lifespan Changes in Brain and Cognition University of Oslo, Oslo Norway
| | - Anders M Fjell
- Center for Lifespan Changes in Brain and Cognition University of Oslo, Oslo Norway
- Department of Radiology and Nuclear Medicine Oslo University Hospital, Oslo Norway
| | - Lars Nyberg
- Department of Integrative Medical Biology Umeå University Umeå Sweden
- Umeå Center for Functional Brain Imaging Umeå University Umeå Sweden
- Department of Radiation Sciences Umeå University Umeå Sweden
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41
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Kozik P, Drewelies J, Düzel S, Demuth I, Steinhagen-Thiessen E, Gerstorf D, Hoppmann CA. Future time perspective: Dimensions of opportunities, life, and time are differentially associated with physical health, cognitive functioning, and well-being in old age. Aging Ment Health 2020; 24:1487-1495. [PMID: 30966784 DOI: 10.1080/13607863.2019.1594159] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Objective: The present study investigated the multidimensional nature of the future time perspective scale and dimension-specific associations with measures of physical health, cognitive functioning, and well-being.Method: Using data from the Berlin Aging Study II (N = 1,038, M age = 71 years, range = 61-88 years, 52% women), different models of future time perspective were compared using confirmatory factor analyses, and the best-fitting model was then used to explore dimension-specific associations with physical health, cognitive functioning, and well-being measures.Results: A model of future time perspective composed of a focus on opportunities, a focus on life, and a focus on time was found to have the best fit. An extended focus on opportunities was associated with stronger grip strength, more accurate memory, as well as higher life satisfaction and positive affect. An extended focus on time was associated with less accurate memory, lower negative affect, and greater life satisfaction. A focus on life was unrelated to study measures.Discussion: Findings suggest that future time perspective is multidimensional and that these dimensions are differentially associated with physical health, cognitive functioning, and well-being in old age.
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Affiliation(s)
- Pavel Kozik
- Department of Psychology, University of British Columbia, Vancouver, British Columbia, Canada
| | | | - Sandra Düzel
- Max Planck Institute for Human Development, Berlin, Germany
| | - Ilja Demuth
- Charite - Universitätsmedizin Berlin, Berlin, Germany
| | | | - Denis Gerstorf
- Department of Psychology, Humboldt University, Berlin, Germany
| | - Christiane A Hoppmann
- Department of Psychology, University of British Columbia, Vancouver, British Columbia, Canada
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42
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Weston SJ, Graham EK, Turiano NA, Aschwanden D, Booth T, Harrison F, James BD, Lewis NA, Makkar SR, Mueller S, Wisniewski KM, Yoneda T, Zhaoyang R, Spiro A, Drewelies J, Wagner GG, Steinhagen-Thiessen E, Demuth I, Willis S, Schaie KW, Sliwinski M, Lipton RA, Katz M, Deary IJ, Zelinski EM, Bennett DA, Sachdev PS, Brodaty H, Trollor JN, Ames D, Wright MJ, Gerstorf D, Allemand M, Muniz-Terrera G, Piccinin AM, Hofer SM, Mroczek DK. Is Healthy Neuroticism Associated with Chronic Conditions? A Coordinated Integrative Data Analysis. COLLABRA. PSYCHOLOGY 2020; 6:42. [PMID: 33073161 PMCID: PMC7566654 DOI: 10.1525/collabra.267] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Early investigations of the neuroticism by conscientiousness interaction with regards to health have been promising, but to date, there have been no systematic investigations of this interaction that account for the various personality measurement instruments, varying populations, or aspects of health. The current study - the second of three - uses a coordinated analysis approach to test the impact of the neuroticism by conscientiousness interaction on the prevalence and incidence of chronic conditions. Using 15 pre-existing longitudinal studies (N > 49,375), we found that conscientiousness did not moderate the relationship between neuroticism and having hypertension (OR = 1.00,95%CI[0.98,1.02]), diabetes (OR = 1.02[0.99,1.04]), or heart disease (OR = 0.99[0.97,1.01]). Similarly, we found that conscientiousness did not moderate the prospective relationship between neuroticism and onset of hypertension (OR = 0.98,[0.95,1.01]), diabetes (OR = 0.99[0.94,1.05]), or heart disease (OR = 0.98[0.94,1.03]). Heterogeneity of effect sizes was largely nonsignificant, with one exception, indicating that the effects are consistent between datasets. Overall, we conclude that there is no evidence that healthy neuroticism, operationalized as the conscientiousness by neuroticism interaction, buffers against chronic conditions.
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Affiliation(s)
- Sara J. Weston
- University of Oregon, Department of Psychology, Eugene, OR, USA
| | - Eileen K. Graham
- Northwestern University, Department of Medical Social Sciences, Chicago, IL, USA
| | - Nicholas A. Turiano
- West Virginia University, Department of Psychology and the West Virginia Prevention Research Center, Morgantown, WV, USA
| | - Damaris Aschwanden
- Florida State University, Department of Geriatrics, Tallahassee, FL, USA
| | - Tom Booth
- University of Edinburgh, Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, Edinburgh, Scotland
| | - Fleur Harrison
- University of New South Wales, Centre for Healthy Brain Aging, Sydney NSW, Australia
| | - Bryan D. James
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Nathan A. Lewis
- University of Victoria, Department of Psychology, Victoria, BC, Canada
| | - Steven R. Makkar
- University of New South Wales, Centre for Healthy Brain Aging, Sydney NSW, Australia
| | - Swantje Mueller
- University of Hamburg, Berlin, Germany, Department of Psychology
- Humboldt University, Berlin, Germany, Department of Psychology
| | - Kristi M. Wisniewski
- University of Southern California, Leonard Davis School of Gerontology, Los Angeles, CA, USA
| | - Tomiko Yoneda
- University of Victoria, Department of Psychology, Victoria, BC, Canada
| | - Ruixue Zhaoyang
- Center for Healthy Aging, The Pennsylvania State University, State College, PA, USA
| | - Avron Spiro
- VA Boston Healthcare System, Boston, MA, USA
- Boston University, Boston, MA, USA
| | | | - Gert G. Wagner
- Humboldt University, Berlin, Germany, Department of Psychology
| | | | - Ilja Demuth
- Charite – Universitätsmedizin Berlin, Germany
| | - Sherry Willis
- University of Washington, Department of Psychiatry and Behavioral Sciences, Seattle, WA, USA
| | - K. Warner Schaie
- Pennsylvania State University, Department of Human Development and Psychology, State College, PA, USA
| | - Martin Sliwinski
- Center for Healthy Aging, The Pennsylvania State University, State College, PA, USA
| | | | - Mindy Katz
- Albert Einstein College of Medicine, Bronx, NY, USA
| | - Ian J. Deary
- University of Edinburgh, Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, Edinburgh, Scotland
| | - Elizabeth M. Zelinski
- University of Southern California, Leonard Davis School of Gerontology, Los Angeles, CA, USA
| | - David A. Bennett
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Perminder S. Sachdev
- University of New South Wales, Centre for Healthy Brain Aging, Sydney NSW, Australia
| | - Henry Brodaty
- University of New South Wales, Centre for Healthy Brain Aging, Sydney NSW, Australia
| | - Julian N. Trollor
- University of New South Wales, Centre for Healthy Brain Aging, Sydney NSW, Australia
- University of New South Wales, Department of Developmental Disability Neuropsychiatry, Sydney NSW, Australia
| | - David Ames
- University of Melbourne Academic Unit for Psychiatry of Old Age and National Ageing Research Institute, Kew & Parkville, Australia
| | | | - Denis Gerstorf
- Humboldt University, Berlin, Germany, Department of Psychology
| | - Mathias Allemand
- University of Zurich, Department of Psychology, Zurich, Switzerland
| | | | | | - Scott M. Hofer
- University of Victoria, Department of Psychology, Victoria, BC, Canada
| | - Daniel K. Mroczek
- Northwestern University, Department of Medical Social Sciences, Chicago, IL, USA
- Northwestern University, Department of Psychology, Evanston, IL, USA
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43
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Röhr F, Bucholtz N, Toepfer S, Norman K, Spira D, Steinhagen-Thiessen E, Lill CM, Bertram L, Demuth I, Buchmann N, Düzel S. Relationship between Lipoprotein (a) and cognitive function - Results from the Berlin Aging Study II. Sci Rep 2020; 10:10636. [PMID: 32606300 PMCID: PMC7326928 DOI: 10.1038/s41598-020-66783-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Accepted: 05/26/2020] [Indexed: 12/24/2022] Open
Abstract
It has been suggested that an age-related loss of cognitive function might be driven by atherosclerotic effects associated with altered lipid patterns. However, the relationship between Lipoprotein (a) [Lp(a)] and healthy cognitive aging has not yet been sufficiently investigated. For the current analysis we used the cross-sectional data of 1,380 Berlin Aging Study II (BASE-II) participants aged 60 years and older (52.2% women, mean age 68 ± 4 years). We employed the Consortium to Establish a Registry for Alzheimer's Disease (CERAD)-Plus test battery to establish latent factors representing continuous measures of domain specific cognitive functions. Regression models adjusted for APOE genotypes, lipid parameters and other risk factors for cognitive impairment were applied to assess the association between Lp(a) and performance in specific cognitive domains. Men within the lowest Lp(a)-quintile showed better cognitive performance in the cognitive domain executive functions and processing speed (p = 0.027). No significant results were observed in women. The results of the current analysis of predominantly healthy BASE-II participants point towards an association between low Lp(a) concentrations and better cognitive performance. However, evidence for this relationship resulting from the current analysis and the employment of a differentiated cognitive assessment is rather weak.
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Affiliation(s)
- Franziska Röhr
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Endocrinology and Metabolism, 10117, Berlin, Germany
| | - Nina Bucholtz
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Endocrinology and Metabolism, 10117, Berlin, Germany
| | - Sarah Toepfer
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Endocrinology and Metabolism, 10117, Berlin, Germany
| | - Kristina Norman
- German Institute of Human Nutrition, Department of Nutrition and Gerontology, Potsdam-Rehbruecke (DIfE), Nuthetal, Germany
- Charite - Universitätsmedizin Berlin, Forschungsgruppe Geriatrie am EGZB, Berlin, Berlin, Germany
| | - Dominik Spira
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Endocrinology and Metabolism, 10117, Berlin, Germany
| | - Elisabeth Steinhagen-Thiessen
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Endocrinology and Metabolism, 10117, Berlin, Germany
| | - Christina M Lill
- Section for Translational Surgical Oncology and Biobanking, Department of Surgery, University of Lübeck and University Medical Center Schleswig-Holstein, Campus Lübeck, 23552, Lübeck, Germany
- Ageing Epidemiology Research Unit, School of Public Health, Imperial College, London, SW71, UK
| | - Lars Bertram
- Lübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Lübeck, Germany
- Center for Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Oslo, Norway
| | - Ilja Demuth
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Endocrinology and Metabolism, 10117, Berlin, Germany.
- Charité - Universitätsmedizin Berlin, BCRT - Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany.
| | - Nikolaus Buchmann
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Endocrinology and Metabolism, 10117, Berlin, Germany
- Department of Cardiology, Charité - University Medicine Berlin (Campus Benjamin Franklin), Berlin, Germany
| | - Sandra Düzel
- Max Planck Institute for Human Development, Berlin, Germany
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44
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Graham EK, Weston SJ, Gerstorf D, Yoneda TB, Booth T, Beam CR, Petkus AJ, Drewelies J, Hall AN, Bastarache ED, Estabrook R, Katz MJ, Turiano NA, Lindenberger U, Smith J, Wagner GG, Pedersen NL, Allemand M, Spiro A, Deeg DJH, Johansson B, Piccinin AM, Lipton RB, Schaie KW, Willis S, Reynolds CA, Deary IJ, Hofer SM, Mroczek DK. Trajectories of Big Five Personality Traits: A Coordinated Analysis of 16 Longitudinal Samples. EUROPEAN JOURNAL OF PERSONALITY 2020; 34:301-321. [PMID: 33564207 DOI: 10.1002/per.2259] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
This study assessed change in self-reported Big Five personality traits. We conducted a coordinated integrative data analysis using data from 16 longitudinal samples, comprising a total sample of over 60 000 participants. We coordinated models across multiple datasets and fit identical multi-level growth models to assess and compare the extent of trait change over time. Quadratic change was assessed in a subset of samples with four or more measurement occasions. Across studies, the linear trajectory models revealed declines in conscientiousness, extraversion, and openness. Non-linear models suggested late-life increases in neuroticism. Meta-analytic summaries indicated that the fixed effects of personality change are somewhat heterogeneous and that the variability in trait change is partially explained by sample age, country of origin, and personality measurement method. We also found mixed evidence for predictors of change, specifically for sex and baseline age. This study demonstrates the importance of coordinated conceptual replications for accelerating the accumulation of robust and reliable findings in the lifespan developmental psychological sciences.
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Affiliation(s)
| | | | - Denis Gerstorf
- Humboldt University, Berlin, Germany.,German Institute for Economic Research, Berlin, Germany
| | | | - Tom Booth
- University of Edinburgh, Edinburgh, UK
| | | | | | | | | | | | | | - Mindy J Katz
- Albert Einstein College of Medicine, New York, NY USA
| | | | | | | | - Gert G Wagner
- German Institute for Economic Research, Berlin, Germany.,Max Planck Institute for Human Development, Berlin, Germany.,Berlin University of Technology, Berlin, Germany
| | | | | | - Avron Spiro
- VA Boston Healthcare System, Boston, MA USA.,Boston University School of Public Health, Boston, MA USA.,Boston University School of Medicine, Boston, MA USA
| | - Dorly J H Deeg
- VU University Medical Center, Amsterdam, The Netherlands
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45
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The gap between desires and reality in sexuality of males and females aged 60 and over: Results from the Berlin aging study II (BASE-II). SEXOLOGIES 2020. [DOI: 10.1016/j.sexol.2019.08.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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46
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Mantantzis K, Drewelies J, Duezel S, Buchmann N, Steinhagen-Thiessen E, Wagner GG, Raz N, Lindenberger U, Demuth I, Gerstorf D. Poor glucose regulation is associated with declines in well-being among older men, but not women. Psychol Aging 2020; 35:204-211. [PMID: 31724413 PMCID: PMC7042050 DOI: 10.1037/pag0000404] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Glucose regulation is a key aspect of healthy aging and has been linked to brain functioning and cognition. Here we examined the role of glucose regulation for within-person longitudinal trajectories of well-being. We applied growth models to data from the Berlin Aging Study II (N = 955), using insulin resistance as an index of glucoregulatory capacity. We found that poor glucose regulation (higher insulin resistance) was consistently associated with lower levels of well-being among older men but not women. Our study provides novel evidence for the relevance of glucose regulation for well-being among older men. (PsycINFO Database Record (c) 2020 APA, all rights reserved).
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Affiliation(s)
| | | | | | | | | | - Gert G. Wagner
- Max Planck Institute for Human Development
- German Institute for Economic Research (DIW) Berlin
| | - Naftali Raz
- Max Planck Institute for Human Development
- Wayne State University, USA
| | - Ulman Lindenberger
- Max Planck Institute for Human Development
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin
| | | | - Denis Gerstorf
- Humboldt University Berlin
- German Institute for Economic Research (DIW) Berlin
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47
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Weber D, Kochlik B, Demuth I, Steinhagen-Thiessen E, Grune T, Norman K. Plasma carotenoids, tocopherols and retinol - Association with age in the Berlin Aging Study II. Redox Biol 2020; 32:101461. [PMID: 32086165 PMCID: PMC7030983 DOI: 10.1016/j.redox.2020.101461] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Accepted: 02/09/2020] [Indexed: 11/26/2022] Open
Abstract
Regular consumption of fruits and vegetables, which is related to high plasma levels of lipid-soluble micronutrients such as carotenoids and tocopherols, is linked to lower incidences of various age-related diseases. Differences in lipid-soluble micronutrient blood concentrations seem to be associated with age. Our retrospective analysis included men and women aged 22-37 and 60-85 years from the Berlin Aging Study II. Participants with simultaneously available plasma samples and dietary data were included (n = 1973). Differences between young and old groups were found for plasma lycopene, α-carotene, α-tocopherol, β-cryptoxanthin (only in women), and γ-tocopherol (only in men). β-Carotene, retinol and lutein/zeaxanthin did not differ between young and old participants regardless of the sex. We found significant associations for lycopene, α-carotene (both inverse), α-tocopherol, γ-tocopherol, and β-carotene (all positive) with age. Adjusting for BMI, smoking status, season, cholesterol and dietary intake confirmed these associations, except for β-carotene. These micronutrients are important antioxidants and associated with lower incidence of age-related diseases, therefore it is important to understand the underlying mechanisms in order to implement dietary strategies for the prevention of age-related diseases. To explain the lower lycopene and α-carotene concentration in older subjects, bioavailability studies in older participants are necessary.
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Affiliation(s)
- Daniela Weber
- Department of Molecular Toxicology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), 14558 Nuthetal, Germany; NutriAct-Competence Cluster Nutrition Research Berlin-Potsdam, 14558 Nuthetal, Germany.
| | - Bastian Kochlik
- Department of Molecular Toxicology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), 14558 Nuthetal, Germany; NutriAct-Competence Cluster Nutrition Research Berlin-Potsdam, 14558 Nuthetal, Germany.
| | - Ilja Demuth
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Lipid Clinic at the Interdisciplinary Metabolism Center, Germany; Charité - Universitätsmedizin Berlin, BCRT - Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany.
| | - Elisabeth Steinhagen-Thiessen
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Lipid Clinic at the Interdisciplinary Metabolism Center, Germany; University Medicine Greifswald and Kreiskrankenhaus Wolgast, Altersmedizinisches Zentrum, 17438 Greifswald, Germany.
| | - Tilman Grune
- Department of Molecular Toxicology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), 14558 Nuthetal, Germany; NutriAct-Competence Cluster Nutrition Research Berlin-Potsdam, 14558 Nuthetal, Germany; Institute of Nutritional Science, University of Potsdam, 14558 Nuthetal, Germany; German Center for Diabetes Research (DZD), 85764 Munich-Neuherberg, Germany; German Center for Cardiovascular Research (DZHK), 13347 Berlin, Germany.
| | - Kristina Norman
- Institute of Nutritional Science, University of Potsdam, 14558 Nuthetal, Germany; Geriatrics Research Group, Charité - Universitätsmedizin Berlin, 13347 Berlin, Germany; Department of Nutrition and Gerontology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), 14558 Nuthetal, Germany.
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48
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Graham EK, Weston SJ, Turiano NA, Aschwanden D, Booth T, Harrison F, James BD, Lewis NA, Makkar SR, Mueller S, Wisniewski KM, Yoneda T, Zhaoyang R, Spiro A, Willis S, Schaie KW, Sliwinski M, Lipton RA, Katz MJ, Deary IJ, Zelinski EM, Bennett DA, Sachdev PS, Brodaty H, Trollor JN, Ames D, Wright MJ, Gerstorf D, Allemand M, Drewelies J, Wagner GG, Muniz-Terrera G, Piccinin AM, Hofer SM, Mroczek DK. Is Healthy Neuroticism Associated with Health Behaviors? A Coordinated Integrative Data Analysis. COLLABRA. PSYCHOLOGY 2020; 6:32. [PMID: 33354649 PMCID: PMC7751766 DOI: 10.1525/collabra.266] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Current literature suggests that neuroticism is positively associated with maladaptive life choices, likelihood of disease, and mortality. However, recent research has identified circumstances under which neuroticism is associated with positive outcomes. The current project examined whether "healthy neuroticism", defined as the interaction of neuroticism and conscientiousness, was associated with the following health behaviors: smoking, alcohol consumption, and physical activity. Using a pre-registered multi-study coordinated integrative data analysis (IDA) approach, we investigated whether "healthy neuroticism" predicted the odds of engaging in each of the aforementioned activities. Each study estimated identical models, using the same covariates and data transformations, enabling optimal comparability of results. These results were then meta-analyzed in order to estimate an average (N-weighted) effect and to ascertain the extent of heterogeneity in the effects. Overall, these results suggest that neuroticism alone was not related to health behaviors, while individuals higher in conscientiousness were less likely to be smokers or drinkers, and more likely to engage in physical activity. In terms of the healthy neuroticism interaction of neuroticism and conscientiousness, significant interactions for smoking and physical activity suggest that the association between neuroticism and health behaviors was smaller among those high in conscientiousness. These findings lend credence to the idea that healthy neuroticism may be linked to certain health behaviors and that these effects are generalizable across several heterogeneous samples.
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Affiliation(s)
- Eileen K. Graham
- Northwestern University, Department of Medical Social Sciences, Chicago, IL, USA
| | - Sara J. Weston
- University of Oregon, Department of Psychology, Eugene, OR, USA
| | - Nicholas A. Turiano
- West Virginia University, Department of Psychology and the West Virginia Prevention Research Center, Morgantown, WV, USA
| | - Damaris Aschwanden
- Florida State University, Department of Geriatrics, Tallahassee, FL, USA
| | - Tom Booth
- University of Edinburgh, Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, Edinburgh, Scotland
| | - Fleur Harrison
- University of New South Wales, Centre for Healthy Brain Aging, Sydney NSW, Australia
| | - Bryan D. James
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Nathan A. Lewis
- University of Victoria, Department of Psychology, Victoria, BC, Canada
| | - Steven R. Makkar
- University of New South Wales, Centre for Healthy Brain Aging, Sydney NSW, Australia
| | - Swantje Mueller
- University of Hamburg, Berlin Germany, Department of Psychology,Humboldt University, Berlin Germany, Department of Psychology
| | - Kristi M. Wisniewski
- University of Southern California, Leonard Davis School of Gerontology, Los Angeles, CA
| | - Tomiko Yoneda
- University of Victoria, Department of Psychology, Victoria, BC, Canada
| | - Ruixue Zhaoyang
- Pennsylvania State University, Center for Healthy Aging, State College, PA, USA
| | - Avron Spiro
- VA Boston Healthcare System, Boston, MA, USA,Boston University, Boston, MA, USA
| | - Sherry Willis
- University of Washington, Department of Psychiatry and Behavioral Sciences, Seattle, WA, USA
| | - K. Warner Schaie
- Pennsylvania State University, Department of Human Development and Psychology, State College, PA, USA
| | - Martin Sliwinski
- Pennsylvania State University, Center for Healthy Aging, State College, PA, USA
| | | | | | - Ian J. Deary
- University of Edinburgh, Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, Edinburgh, Scotland
| | - Elizabeth M. Zelinski
- University of Southern California, Leonard Davis School of Gerontology, Los Angeles, CA
| | - David A. Bennett
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Perminder S. Sachdev
- University of New South Wales, Centre for Healthy Brain Aging, Sydney NSW, Australia
| | - Henry Brodaty
- University of New South Wales, Centre for Healthy Brain Aging, Sydney NSW, Australia
| | - Julian N. Trollor
- University of New South Wales, Centre for Healthy Brain Aging, Sydney NSW, Australia,University of New South Wales, Department of Developmental Disability Neuropsychiatry, Sydney NSW, Australia
| | - David Ames
- University of Melbourne Academic Unit for Psychiatry of Old Age and National Ageing Research Institute, Kew & Parkville, Australia
| | | | - Denis Gerstorf
- Humboldt University, Berlin Germany, Department of Psychology
| | - Mathias Allemand
- University of Zurich, Department of Psychology, Zurich, Switzerland
| | | | | | | | | | - Scott M. Hofer
- University of Victoria, Department of Psychology, Victoria, BC, Canada
| | - Daniel K. Mroczek
- Northwestern University, Department of Medical Social Sciences, Chicago, IL, USA,Northwestern University, Department of Psychology, Evanston, IL, USA
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Toepfer S, Bolbrinker J, König M, Steinhagen-Thiessen E, Kreutz R, Demuth I. Potentially inappropriate medication in older participants of the Berlin Aging Study II (BASE-II) - Sex differences and associations with morbidity and medication use. PLoS One 2019; 14:e0226511. [PMID: 31887163 PMCID: PMC6936809 DOI: 10.1371/journal.pone.0226511] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Accepted: 11/27/2019] [Indexed: 12/18/2022] Open
Abstract
Introduction Multimorbidity in advanced age and the need for drug treatment may lead to polypharmacy, while pharmacokinetic and pharmacodynamic changes may increase the risk of adverse drug events (ADEs). Objective The aim of this study was to determine the proportion of subjects using potentially inappropriate medication (PIM) in a cohort of older and predominantly healthy adults in relation to polypharmacy and morbidity. Methods Cross-sectional data were available from 1,382 study participants (median age 69 years, IQR 67–71, 51.3% females) of the Berlin Aging Study II (BASE-II). PIM was classified according to the EU(7)-PIM and German PRISCUS (representing a subset of the former) list. Polypharmacy was defined as the concomitant use of at least five drugs. A morbidity index (MI) largely based on the Charlson Index was applied to evaluate the morbidity burden. Results Overall, 24.1% of the participants were affected by polypharmacy. On average, men used 2 (IQR 1–4) and women 3 drugs (IQR 1–5). According to PRISCUS and EU(7)-PIM, 5.9% and 22.6% of participants received at least one PIM, while use was significantly more prevalent in females (25.5%) compared to males (19.6%) considering EU(7)-PIM (p = 0.01). In addition, morbidity in males receiving PIM according to EU(7)-PIM was higher (median MI 1, IQR 1–3) compared to males without PIM use (median MI 1, IQR 0–2, p<0.001). Conclusion PIM use occurred more frequently in women than in men, while it was associated with higher morbidity in males. As expected, EU(7)-PIM identifies more subjects as PIM users than the PRISCUS list but further studies are needed to investigate the differential impact of both lists on ADEs and outcome. Key points We found PIM use to be associated with a higher number of regular medications and with increased morbidity. Additionally, we detected a higher prevalence of PIM use in females compared to males, suggesting that women and people needing intensive drug treatment are patient groups, who are particularly affected by PIM use.
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Affiliation(s)
- Sarah Toepfer
- Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Lipid Clinic at the Interdisciplinary Metabolism Center, Berlin, Germany
| | - Juliane Bolbrinker
- Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institut für Klinische Pharmakologie und Toxikologie, Berlin, Germany
| | - Maximilian König
- Medizinische Klinik mit Schwerpunkt Nephrologie und Internistische Intensivmedizin, Charité-Universitätsmedizin, Berlin, Germany
| | - Elisabeth Steinhagen-Thiessen
- Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Lipid Clinic at the Interdisciplinary Metabolism Center, Berlin, Germany
| | - Reinhold Kreutz
- Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institut für Klinische Pharmakologie und Toxikologie, Berlin, Germany
| | - Ilja Demuth
- Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Lipid Clinic at the Interdisciplinary Metabolism Center, Berlin, Germany
- Berlin Insitute of Health Center for Regenerative Therapies”oder ausführlicher „Charité—Universitätsmedizin Berlin, BCRT—Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany
- * E-mail:
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50
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Kiselev J, Nuritdinow T, Spira D, Buchmann N, Steinhagen-Thiessen E, Lederer C, Daumer M, Demuth I. Long-term gait measurements in daily life: Results from the Berlin Aging Study II (BASE-II). PLoS One 2019; 14:e0225026. [PMID: 31825966 PMCID: PMC6905575 DOI: 10.1371/journal.pone.0225026] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Accepted: 10/28/2019] [Indexed: 11/18/2022] Open
Abstract
Background Walking ability is an important prerequisite for activity, social participation and independent living. While in most healthy adults, this ability can be assumed as given, limitations in walking ability occur with increasing age. Furthermore, slow walking speed is linked to several chronic conditions and overall morbidity. Measurements of gait parameters can be used as a proxy to detect functional decline and onset of chronic conditions. Up to now, gait characteristics used for this purpose are measured in standardized laboratory settings. There is some evidence, however, that long-term measurements of gait parameters in the living environment have some advantages over short-term laboratory measurements. Methods We evaluated cross-sectional data from an accelerometric sensor worn in a subgroup of 554 participants of the Berlin Aging Study II (BASE-II). Data from the two BASE-II age groups (age between 22–36 years and 60–79 years) were used for the current analysis of accelerometric data for a minimum of two days and a maximum of ten days were available. Real world walking speed, number of steps, maximum coherent distance and total distance were derived as average data per day. Linear regression analyses were performed on the different gait parameters in order to identify significant determinants. Additionally, Mann-Whitney-U-tests were performed to detect sex-specific differences. Results Age showed to be significantly associated with real world walking speed and with the total distance covered per day, while BMI contributed negatively to the number of walking steps, maximum coherent distance and total distance walked. Additionally, sex was associated with walking steps. However, R2-values for all models were low. Overall, women had significantly more walking steps and a larger coherent distance per day when compared to men. When separated by age group, this difference was significant only in the older participants. Additionally, walking speed was significantly higher in women compared to men in the subgroup of older people. Conclusions Age- and sex-specific differences have to be considered when objective gait parameters are measured, e.g. in the context of clinical risk assessment. For this purpose normative data, differentiating for age and sex would have to be established to allow reliable classification of long-term measurements of gait.
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Affiliation(s)
- Jörn Kiselev
- Geriatrics Research Group, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Department of Anesthesiology and Intensive Care Medicine, Campus Charité Mitte, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- * E-mail: (ID); (JK)
| | - Timur Nuritdinow
- Sylvia Lawry Centre for Multiple Sclerosis Research e.V., The Human Motion Institute, Munich, Germany
| | - Dominik Spira
- Lipid Clinic at the Interdisciplinary Metabolism Center, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Nikolaus Buchmann
- Lipid Clinic at the Interdisciplinary Metabolism Center, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Department of Cardiology, Campus Benjamin Franklin, Charité—University Medicine Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Elisabeth Steinhagen-Thiessen
- Lipid Clinic at the Interdisciplinary Metabolism Center, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Christian Lederer
- Sylvia Lawry Centre for Multiple Sclerosis Research e.V., The Human Motion Institute, Munich, Germany
| | - Martin Daumer
- Sylvia Lawry Centre for Multiple Sclerosis Research e.V., The Human Motion Institute, Munich, Germany
- Trium Analysis Online GmbH, Munich, Germany
| | - Ilja Demuth
- Lipid Clinic at the Interdisciplinary Metabolism Center, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Charité—Universitätsmedizin Berlin, BCRT—Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany
- * E-mail: (ID); (JK)
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