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Rozing MP, Veerhuis R, Westendorp RGJ, Eikelenboom P, Stek M, Marijnissen RM, Oude Voshaar RC, Comijs HC, van Exel E. Inflammation in older subjects with early- and late-onset depression in the NESDO study: a cross-sectional and longitudinal case-only design. Psychoneuroendocrinology 2019; 99:20-27. [PMID: 30172071 DOI: 10.1016/j.psyneuen.2018.08.029] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2018] [Revised: 08/18/2018] [Accepted: 08/22/2018] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Different biological mechanisms may underlie depression beginning in early life (early-onset) and depression beginning later in life (late-onset). Although the relation between inflammation and depression has been studied extensively, the distinct role of inflammation in early and late-onset depression in older patients has not been addressed before. In the cross-sectional part of this study, we explored differences in levels of circulating inflammatory markers and cytokine levels in lipopolysaccharide (LPS) stimulated whole blood between older subjects with a late-life onset depression (≥60 years) and older subjects with an early-onset depression (<60 years). Secondly, in a 2-year follow-up study, we examined if circulating and stimulated inflammatory markers influenced the change in Inventory of Depressive Symptomatology (IDS) scores, and if this relation was different for early- and late-onset depression. METHODS The study was part of the Netherlands Study of Depression in Older Persons (NESDO). We included 350 patients, all aged 60 and older, with a depressive episode in the previous 6 months: 119 with a late-onset depression and 231 with an early-onset depression. Blood samples were collected and CRP, IL-6, NGAL, GDF15, and, LPS plasma levels were determined and whole blood was LPS stimulated and cytokine levels IL-1β, IL-6, TNFα, IFNγ, IL-10, and IL-1 receptor antagonist (IL-1ra) were determined. RESULTS After adjustment for demographics, health indicators, and medication use, increased plasma CRP levels were more strongly associated with late-onset depression than early-onset depression (OR [95% CI]: 1.43 [1.05-1.94]). In the longitudinal analyses, higher circulating IL-6 levels were associated with a significantly slower decline in IDS scores in the crude and the adjusted models (p ≤ 0.027). This relation was not different between late- and early-onset depression. Other circulating and stimulated inflammatory markers were not associated with late- and/or early-onset depression. CONCLUSIONS This study provides preliminary evidence that low-grade inflammation is more strongly associated with late-onset than early-onset depression in older adults, suggesting a distinct inflammatory etiology for late-onset depression. Cytokine production capacity did not distinguish between early- and late-onset depression.
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Affiliation(s)
- M P Rozing
- Department of Public Health, section Epidemiology, University of Copenhagen, Copenhagen, Denmark; Center for Healthy Aging, University of Copenhagen, Copenhagen, Denmark; The Research Unit for General Practice and Section of General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
| | - R Veerhuis
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam, The Netherlands; Amsterdam UMC, Vrije Universiteit Amsterdam, GGZ inGeest / Department of Psychiatry and Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - R G J Westendorp
- Department of Public Health, section Epidemiology, University of Copenhagen, Copenhagen, Denmark; Center for Healthy Aging, University of Copenhagen, Copenhagen, Denmark
| | - P Eikelenboom
- Amsterdam UMC, Vrije Universiteit Amsterdam, GGZ inGeest / Department of Psychiatry and Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - M Stek
- Amsterdam UMC, Vrije Universiteit Amsterdam, GGZ inGeest / Department of Psychiatry and Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - R M Marijnissen
- University Center of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Department of Old Age Psychiatry, ProPersona, Arnhem/Wolfheze, The Netherlands
| | - R C Oude Voshaar
- University Center of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - H C Comijs
- Amsterdam UMC, Vrije Universiteit Amsterdam, GGZ inGeest / Department of Psychiatry and Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - E van Exel
- Amsterdam UMC, Vrije Universiteit Amsterdam, GGZ inGeest / Department of Psychiatry and Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
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2
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Du Puy RS, Postmus I, Stott DJ, Blum MR, Poortvliet RKE, Den Elzen WPJ, Peeters RP, van Munster BC, Wolffenbuttel BHR, Westendorp RGJ, Kearney PM, Ford I, Kean S, Messow CM, Watt T, Jukema JW, Dekkers OM, Smit JWA, Rodondi N, Gussekloo J, Mooijaart SP. Study protocol: a randomised controlled trial on the clinical effects of levothyroxine treatment for subclinical hypothyroidism in people aged 80 years and over. BMC Endocr Disord 2018; 18:67. [PMID: 30231866 PMCID: PMC6146605 DOI: 10.1186/s12902-018-0285-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2018] [Accepted: 08/03/2018] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Subclinical hypothyroidism is common in older people and its contribution to health and disease needs to be elucidated further. Observational and clinical trial data on the clinical effects of subclinical hypothyroidism in persons aged 80 years and over is inconclusive, with some studies suggesting harm and some suggesting benefits, translating into equipoise whether levothyroxine therapy provides clinical benefits. This manuscript describes the study protocol for the Institute for Evidence-Based Medicine in Old Age (IEMO) 80-plus thyroid trial to generate the necessary evidence base. METHODS The IEMO 80-plus thyroid trial was explicitly designed as an ancillary experiment to the Thyroid hormone Replacement for Untreated older adults with Subclinical hypothyroidism randomised placebo controlled Trial (TRUST) with a near identical protocol and shared research infrastructure. Outcomes will be presented separately for the IEMO and TRUST 80-plus groups, as well as a pre-planned combined analysis of the 145 participants included in the IEMO trial and the 146 participants from the TRUST thyroid trial aged 80 years and over. The IEMO 80-plus thyroid trial is a multi-centre randomised double-blind placebo-controlled parallel group trial of levothyroxine treatment in community-dwelling participants aged 80 years and over with persistent subclinical hypothyroidism (TSH ≥4.6 and ≤ 19.9 mU/L and fT4 within laboratory reference ranges). Participants are randomised to levothyroxine 25 or 50 micrograms daily or matching placebo with dose titrations according to TSH levels, for a minimum follow-up of one and a maximum of three years. Primary study endpoints: hypothyroid physical symptoms and tiredness on the thyroid-related quality of life patient-reported outcome (ThyPRO) at one year. Secondary endpoints: generic quality of life, executive cognitive function, handgrip strength, functional ability, blood pressure, weight, body mass index, and mortality. Adverse events will be recorded with specific interest on cardiovascular endpoints such as atrial fibrillation and heart failure. DISCUSSION The combined analysis of participants in the IEMO 80-plus thyroid trial with the participants aged over 80 in the TRUST trial will provide the largest experimental evidence base on multimodal effects of levothyroxine treatment in 80-plus persons to date. TRIAL REGISTRATION Nederlands (Dutch) Trial Register: NTR3851 (12-02-2013), EudraCT: 2012-004160-22 (17-02-2013), ABR-41259.058.13 (12-02-2013).
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Affiliation(s)
- R. S. Du Puy
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands
| | - I. Postmus
- Department of Gerontology and Geriatrics (C7-Q), Leiden University Medical Center, PO Box 9600, 2300 RC Leiden, The Netherlands
- Institute for Evidence-based Medicine in Old age, Leiden, the Netherlands
| | - D. J. Stott
- Geriatric Medicine, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - M. R. Blum
- Department of General Internal Medicine, Bern University Hospital, University of Bern, Bern, Switzerland
| | - R. K. E. Poortvliet
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands
| | - W. P. J. Den Elzen
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Leiden, the Netherlands
| | - R. P. Peeters
- Department of Internal Medicine, Erasmus University Medical Centre, Rotterdam, the Netherlands
| | - B. C. van Munster
- Department of Internal Medicine, Academic Medical Center, Amsterdam, the Netherlands
| | - B. H. R. Wolffenbuttel
- Department of Endocrinology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - R. G. J. Westendorp
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
- Center for Healthy Aging, University of Copenhagen, Copenhagen, Denmark
| | - P. M. Kearney
- Department of Epidemiology and Public Health, University College Cork, Cork, Ireland
| | - I. Ford
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - S. Kean
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - C. M. Messow
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - T. Watt
- Department of Internal Medicine, Copenhagen University Hospital Herlev, Gentofte, Denmark
| | - J. W. Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands
| | - O. M. Dekkers
- Department of Endocrinology and metabolic disorders, Leiden University Medical Center, Leiden, the Netherlands
| | - J. W. A. Smit
- Radboud University Medical Center, Nijmegen, the Netherlands
| | - N. Rodondi
- Department of General Internal Medicine, Bern University Hospital, University of Bern, Bern, Switzerland
- Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
| | - J. Gussekloo
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands
- Department of Gerontology and Geriatrics (C7-Q), Leiden University Medical Center, PO Box 9600, 2300 RC Leiden, The Netherlands
| | - S. P. Mooijaart
- Department of Gerontology and Geriatrics (C7-Q), Leiden University Medical Center, PO Box 9600, 2300 RC Leiden, The Netherlands
- Institute for Evidence-based Medicine in Old age, Leiden, the Netherlands
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Abstract
SummaryTo assess the contribution of inherited antithrombin deficiency to mortality, we investigated the causes of death in 14 families with inherited antithrombin deficiency. Between 1830 and 1994, 86 of 266 family members who had a probability of 0.5 or more for heterozygosity died. The causes of death were obtained for 58 of 66 deaths occurring between 1940 and 1994. Standardized mortality ratios (SMR) were calculated using mortality rates from the general population adjusted for age, sex and calendar period.The overall SMR was 0.90 from 1830 to 1994 (95% C.1.0.72-1.11). From 1940 until 1994 44 men and 22 women died (SMR = 1.09, 95% C.I. 0.84-1.39; SMR men = 1.20, 95% C.I. 0.87-1.61; SMR women = 0.92,95% C.I. 0.58-1.39). No excess mortality compared to the general population was found for cancer (14 deaths) or circulatory diseases (28 deaths). A slightly increased mortality caused by respiratory diseases (7 deaths, SMR = 1.68,95% C.I. 0.68-3.47) seemed due to pneumonia (4 deaths, SMR = 2.86, 95% C.I. 0.78-7.32). Venous thromboembolic complications were listed once in association with a risk situation, and one other death could be attributed to fatal pulmonary embolism. Cerebral hemorrhages were listed three times. It could not be verified whether these hemorrhages were related to anticoagulant therapy; the frequency was slightly higher than the expected population figure (SMR = 1.49,95% C.I. 0.31-4.36). The mean age of death for all causes was 64 years; the two fatal thromboembolic episodes occurred at age 20 and 30 years.The data show that antithrombin deficiency is associated with a normal survival and a low risk of fatal thromboembolic events. The use of long-term anticoagulant treatment in asymptomatic individuals should be considered carefully in view of the greater risk of fatal bleeding associated with long-term anticoagulant prophylaxis.
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Affiliation(s)
- H H van Boven
- The Department of Clinical Epidemiology, University Hospital Leiden
| | | | - R G J Westendorp
- The Department of Clinical Epidemiology, University Hospital Leiden
| | - F R Rosendaal
- The Department of Clinical Epidemiology, University Hospital Leiden
- The Department of Hemostasis and Thrombosis Research Center, University Hospital Leiden, The Netherlands
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4
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Justice AE, Winkler TW, Feitosa MF, Graff M, Fisher VA, Young K, Barata L, Deng X, Czajkowski J, Hadley D, Ngwa JS, Ahluwalia TS, Chu AY, Heard-Costa NL, Lim E, Perez J, Eicher JD, Kutalik Z, Xue L, Mahajan A, Renström F, Wu J, Qi Q, Ahmad S, Alfred T, Amin N, Bielak LF, Bonnefond A, Bragg J, Cadby G, Chittani M, Coggeshall S, Corre T, Direk N, Eriksson J, Fischer K, Gorski M, Neergaard Harder M, Horikoshi M, Huang T, Huffman JE, Jackson AU, Justesen JM, Kanoni S, Kinnunen L, Kleber ME, Komulainen P, Kumari M, Lim U, Luan J, Lyytikäinen LP, Mangino M, Manichaikul A, Marten J, Middelberg RPS, Müller-Nurasyid M, Navarro P, Pérusse L, Pervjakova N, Sarti C, Smith AV, Smith JA, Stančáková A, Strawbridge RJ, Stringham HM, Sung YJ, Tanaka T, Teumer A, Trompet S, van der Laan SW, van der Most PJ, Van Vliet-Ostaptchouk JV, Vedantam SL, Verweij N, Vink JM, Vitart V, Wu Y, Yengo L, Zhang W, Hua Zhao J, Zimmermann ME, Zubair N, Abecasis GR, Adair LS, Afaq S, Afzal U, Bakker SJL, Bartz TM, Beilby J, Bergman RN, Bergmann S, Biffar R, Blangero J, Boerwinkle E, Bonnycastle LL, Bottinger E, Braga D, Buckley BM, Buyske S, Campbell H, Chambers JC, Collins FS, Curran JE, de Borst GJ, de Craen AJM, de Geus EJC, Dedoussis G, Delgado GE, den Ruijter HM, Eiriksdottir G, Eriksson AL, Esko T, Faul JD, Ford I, Forrester T, Gertow K, Gigante B, Glorioso N, Gong J, Grallert H, Grammer TB, Grarup N, Haitjema S, Hallmans G, Hamsten A, Hansen T, Harris TB, Hartman CA, Hassinen M, Hastie ND, Heath AC, Hernandez D, Hindorff L, Hocking LJ, Hollensted M, Holmen OL, Homuth G, Jan Hottenga J, Huang J, Hung J, Hutri-Kähönen N, Ingelsson E, James AL, Jansson JO, Jarvelin MR, Jhun MA, Jørgensen ME, Juonala M, Kähönen M, Karlsson M, Koistinen HA, Kolcic I, Kolovou G, Kooperberg C, Krämer BK, Kuusisto J, Kvaløy K, Lakka TA, Langenberg C, Launer LJ, Leander K, Lee NR, Lind L, Lindgren CM, Linneberg A, Lobbens S, Loh M, Lorentzon M, Luben R, Lubke G, Ludolph-Donislawski A, Lupoli S, Madden PAF, Männikkö R, Marques-Vidal P, Martin NG, McKenzie CA, McKnight B, Mellström D, Menni C, Montgomery GW, Musk AW(B, Narisu N, Nauck M, Nolte IM, Oldehinkel AJ, Olden M, Ong KK, Padmanabhan S, Peyser PA, Pisinger C, Porteous DJ, Raitakari OT, Rankinen T, Rao DC, Rasmussen-Torvik LJ, Rawal R, Rice T, Ridker PM, Rose LM, Bien SA, Rudan I, Sanna S, Sarzynski MA, Sattar N, Savonen K, Schlessinger D, Scholtens S, Schurmann C, Scott RA, Sennblad B, Siemelink MA, Silbernagel G, Slagboom PE, Snieder H, Staessen JA, Stott DJ, Swertz MA, Swift AJ, Taylor KD, Tayo BO, Thorand B, Thuillier D, Tuomilehto J, Uitterlinden AG, Vandenput L, Vohl MC, Völzke H, Vonk JM, Waeber G, Waldenberger M, Westendorp RGJ, Wild S, Willemsen G, Wolffenbuttel BHR, Wong A, Wright AF, Zhao W, Zillikens MC, Baldassarre D, Balkau B, Bandinelli S, Böger CA, Boomsma DI, Bouchard C, Bruinenberg M, Chasman DI, Chen YD, Chines PS, Cooper RS, Cucca F, Cusi D, Faire UD, Ferrucci L, Franks PW, Froguel P, Gordon-Larsen P, Grabe HJ, Gudnason V, Haiman CA, Hayward C, Hveem K, Johnson AD, Wouter Jukema J, Kardia SLR, Kivimaki M, Kooner JS, Kuh D, Laakso M, Lehtimäki T, Marchand LL, März W, McCarthy MI, Metspalu A, Morris AP, Ohlsson C, Palmer LJ, Pasterkamp G, Pedersen O, Peters A, Peters U, Polasek O, Psaty BM, Qi L, Rauramaa R, Smith BH, Sørensen TIA, Strauch K, Tiemeier H, Tremoli E, van der Harst P, Vestergaard H, Vollenweider P, Wareham NJ, Weir DR, Whitfield JB, Wilson JF, Tyrrell J, Frayling TM, Barroso I, Boehnke M, Deloukas P, Fox CS, Hirschhorn JN, Hunter DJ, Spector TD, Strachan DP, van Duijn CM, Heid IM, Mohlke KL, Marchini J, Loos RJF, Kilpeläinen TO, Liu CT, Borecki IB, North KE, Cupples LA. Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits. Nat Commun 2017; 8:14977. [PMID: 28443625 PMCID: PMC5414044 DOI: 10.1038/ncomms14977] [Citation(s) in RCA: 130] [Impact Index Per Article: 18.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2016] [Accepted: 02/15/2017] [Indexed: 02/07/2023] Open
Abstract
Few genome-wide association studies (GWAS) account for environmental exposures, like smoking, potentially impacting the overall trait variance when investigating the genetic contribution to obesity-related traits. Here, we use GWAS data from 51,080 current smokers and 190,178 nonsmokers (87% European descent) to identify loci influencing BMI and central adiposity, measured as waist circumference and waist-to-hip ratio both adjusted for BMI. We identify 23 novel genetic loci, and 9 loci with convincing evidence of gene-smoking interaction (GxSMK) on obesity-related traits. We show consistent direction of effect for all identified loci and significance for 18 novel and for 5 interaction loci in an independent study sample. These loci highlight novel biological functions, including response to oxidative stress, addictive behaviour, and regulatory functions emphasizing the importance of accounting for environment in genetic analyses. Our results suggest that tobacco smoking may alter the genetic susceptibility to overall adiposity and body fat distribution.
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Affiliation(s)
- Anne E. Justice
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina 27599, USA
| | - Thomas W. Winkler
- Department of Genetic Epidemiology, Institute of Epidemiology and Preventive Medicine, University of Regensburg, D-93053 Regensburg, Germany
| | - Mary F. Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine; St. Louis, Missouri, 63108 USA
| | - Misa Graff
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina 27599, USA
| | - Virginia A. Fisher
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA
| | - Kristin Young
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina 27599, USA
| | - Llilda Barata
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine; St. Louis, Missouri, 63108 USA
| | - Xuan Deng
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA
| | - Jacek Czajkowski
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine; St. Louis, Missouri, 63108 USA
| | - David Hadley
- Population Health Research Institute, St. George's, University of London, London, SW17 0RE, UK
- TransMed Systems, Inc., Cupertino, California 95014, USA
| | - Julius S. Ngwa
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore Maryland, USA
| | - Tarunveer S. Ahluwalia
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Steno Diabetes Center, Gentofte, Denmark
| | - Audrey Y. Chu
- NHLBI Framingham Heart Study, Framingham, Massachusetts, 01702 USA
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts USA
| | - Nancy L. Heard-Costa
- NHLBI Framingham Heart Study, Framingham, Massachusetts, 01702 USA
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts 02118, USA
| | - Elise Lim
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA
| | - Jeremiah Perez
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA
| | - John D. Eicher
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, The Framingham Heart Study, Framingham, Massachusetts, USA
| | - Zoltán Kutalik
- Institute of Social and Preventive Medicine (IUMSP), Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Swiss instititute of Bioinformatics
| | - Luting Xue
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA
| | - Anubha Mahajan
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Frida Renström
- Department of Biobank Research, Umeå University, Umeå, Sweden
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, SE-205 02 Malmö, Sweden
| | - Joseph Wu
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA
| | - Qibin Qi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Shafqat Ahmad
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts USA
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, SE-205 02 Malmö, Sweden
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02115, USA
| | - Tamuno Alfred
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, USA
- The Genetics of Obesity and Related Metabolic Traits Program, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Najaf Amin
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3015GE, The Netherlands
| | - Lawrence F. Bielak
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Amelie Bonnefond
- University of Lille, CNRS, Institut Pasteur of Lille, UMR 8199 - EGID, Lille, France
| | - Jennifer Bragg
- Internal Medicine - Nephrology, University of Michigan, Ann Arbor, Michigan, USA
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Gemma Cadby
- Centre for Genetic Origins of Health and Disease, University of Western Australia, Crawley, Australia
| | - Martina Chittani
- Department of Health Sciences, University of Milan,Via A. Di Rudiní, 8 20142, Milano, Italy
| | - Scott Coggeshall
- Department of Biostatistics, University of Washington, Seattle, Washington 98195, USA
| | - Tanguy Corre
- Institute of Social and Preventive Medicine (IUMSP), Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Swiss instititute of Bioinformatics
| | - Nese Direk
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Psychiatry, Dokuz Eylul University, Izmir, Turkey
| | - Joel Eriksson
- Centre for Bone and Arthritis Research, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Krista Fischer
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
| | - Mathias Gorski
- Department of Genetic Epidemiology, Institute of Epidemiology and Preventive Medicine, University of Regensburg, D-93053 Regensburg, Germany
- Department of Nephrology, University Hospital Regensburg, Regensburg, Germany
| | - Marie Neergaard Harder
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Momoko Horikoshi
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford OX3 7LJ, UK
| | - Tao Huang
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02115, USA
- Epidemiology Domain, Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117549, Singapore
| | - Jennifer E. Huffman
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, The Framingham Heart Study, Framingham, Massachusetts, USA
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland
| | - Anne U. Jackson
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Johanne Marie Justesen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Stavroula Kanoni
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Leena Kinnunen
- Department of Health, National Institute for Health and Welfare, Helsinki, FI-00271 Finland
| | - Marcus E. Kleber
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | | | - Meena Kumari
- ISER, University of Essex, Colchester CO43SQ, UK
- Department of Epidemiology and Public Health, UCL, London, WC1E 6BT, UK
| | - Unhee Lim
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii 96813, USA
| | - Jian'an Luan
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge CB2 0QQ, UK
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere 33520, Finland
- Department of Clinical Chemistry, Faculty of Medicine and Life Sciences, University of Tampere, Tampere 33014, Finland
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
- NIHR Biomedical Research Centre at Guy's and St. Thomas' Foundation Trust, London, UK
| | - Ani Manichaikul
- Center for Public Health Genomics and Biostatistics Section, Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia 22903, USA
| | - Jonathan Marten
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland
| | - Rita P. S. Middelberg
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Martina Müller-Nurasyid
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, D-85764 Neuherberg, Germany
- Department of Medicine I, University Hospital Grosshadern, Ludwig-Maximilians-Universität, D-81377 Munich, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Pau Navarro
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland
| | - Louis Pérusse
- Department of Kinesiology, Faculty of Medicine, Université Laval, Québec, Canada
- Institute of Nutrition and Functional Foods, Université Laval, Québec, Canada
| | - Natalia Pervjakova
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
- Department of Biotechnology, Institute of Molecular and Cell Biology, University of Tartu, Tartu 51010, Estonia
| | - Cinzia Sarti
- Department of Social and Health Care, City of Helsinki, Helsinki, Finland
| | - Albert Vernon Smith
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Jennifer A. Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Alena Stančáková
- Department of Medicine, Institute of Clinical Medicine, University of Eastern Finland, 70210 Kuopio, Finland
| | - Rona J. Strawbridge
- Cardiovascular Medicine Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Center for Molecular Medicine, Karolinska University Hospital Solna, Stockholm, Sweden
| | - Heather M. Stringham
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Yun Ju Sung
- Division of Biostatistics, Washington University School of Medicine, St Louis, Missouri, USA
| | - Toshiko Tanaka
- Translational Gerontology Branch, National Institute on Aging, Baltimore Maryland, USA
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Germany
| | - Stella Trompet
- Department of Cardiology, Leiden University Medical Center, The Netherlands
- Department of Gerontology and Geriatrics, Leiden University Medical Center, The Netherlands
| | - Sander W. van der Laan
- Laboratory of Experimental Cardiology, Department of Cardiology, Division Heart & Lungs, UMC Utrecht, The Netherlands
| | - Peter J. van der Most
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, The Netherlands
| | | | - Sailaja L. Vedantam
- Divisions of Endocrinology and Genetics and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston Massachusetts 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
| | - Niek Verweij
- Department of Cardiology, University Medical Center Groningen, University of Groningen, The Netherlands
| | - Jacqueline M. Vink
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
- Behavioural Science Institute, Radboud University, Nijmegen, The Netherlands
| | - Veronique Vitart
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland
| | - Ying Wu
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599, USA
| | - Loic Yengo
- University of Lille, CNRS, Institut Pasteur of Lille, UMR 8199 - EGID, Lille, France
| | - Weihua Zhang
- Dept Epidemiology and Biostatistics, School of Public Health, Imperical College London, UK
- Cardiology, Ealing Hospital NHS Trust, Middlesex, UK
| | - Jing Hua Zhao
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge CB2 0QQ, UK
| | - Martina E. Zimmermann
- Department of Genetic Epidemiology, Institute of Epidemiology and Preventive Medicine, University of Regensburg, D-93053 Regensburg, Germany
| | - Niha Zubair
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle Washington USA
| | - Gonçalo R. Abecasis
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Linda S. Adair
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA
| | - Saima Afaq
- Dept Epidemiology and Biostatistics, School of Public Health, Imperical College London, UK
- Cardiology, Ealing Hospital NHS Trust, Middlesex, UK
| | - Uzma Afzal
- Dept Epidemiology and Biostatistics, School of Public Health, Imperical College London, UK
- Cardiology, Ealing Hospital NHS Trust, Middlesex, UK
| | - Stephan J. L. Bakker
- Department of Medicine, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Traci M. Bartz
- Department of Biostatistics, University of Washington, Seattle, Washington 98195, USA
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington 98101, USA
| | - John Beilby
- Busselton Population Medical Research Institute, Nedlands, Western Australia 6009, Australia
- PathWest Laboratory Medicine of WA, Sir Charles Gairdner Hospital, Nedlands, Western Australia 6009, Australia
- School of Pathology and Laboraty Medicine, The University of Western Australia, 35 Stirling Hwy, Crawley, Western Australia 6009, Australia
| | - Richard N. Bergman
- Diabetes and Obesity Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Sven Bergmann
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Swiss instititute of Bioinformatics
| | - Reiner Biffar
- Clinic for Prosthetic Dentistry, Gerostomatology and Material Science, University Medicine Greifswald, Germany
| | - John Blangero
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville, Texas, USA
| | - Eric Boerwinkle
- Human Genetics Center, The University of Texas Health Science Center, PO Box 20186, Houston, Texas 77225, USA
| | - Lori L. Bonnycastle
- Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, NIH, Bethesda, Maryland 20892, USA
| | - Erwin Bottinger
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, USA
- Department of Pharmacology and Systems Therapeutics, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Daniele Braga
- Department of Health Sciences, University of Milan,Via A. Di Rudiní, 8 20142, Milano, Italy
| | - Brendan M. Buckley
- Department of Pharmacology and Therapeutics, University College Cork, Ireland
| | - Steve Buyske
- Department of Genetics, Rutgers University, Piscataway, New Jersey 08854, USA
- Department of Statistics and Biostatistics, Rutgers University, Piscataway, New Jersey 08854, USA
| | - Harry Campbell
- Usher Institute for Population Health Sciences and Informatics, The University of Edinburgh, Scotland, UK
| | - John C. Chambers
- Dept Epidemiology and Biostatistics, School of Public Health, Imperical College London, UK
- Cardiology, Ealing Hospital NHS Trust, Middlesex, UK
- Imperial College Healthcare NHS Trust, London, UK
| | - Francis S. Collins
- Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, NIH, Bethesda, Maryland 20892, USA
| | - Joanne E. Curran
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville, Texas, USA
| | - Gert J. de Borst
- Department of Vascular Surgery, Division of Surgical Specialties, UMC Utrecht, The Netherlands
| | - Anton J. M. de Craen
- Department of Gerontology and Geriatrics, Leiden University Medical Center, The Netherlands
| | - Eco J. C. de Geus
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
- EMGO+ Institute Vrije Universiteit & Vrije Universiteit Medical Center
| | - George Dedoussis
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens, Greece
| | - Graciela E. Delgado
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Hester M. den Ruijter
- Laboratory of Experimental Cardiology, Department of Cardiology, Division Heart & Lungs, UMC Utrecht, The Netherlands
| | | | - Anna L. Eriksson
- Centre for Bone and Arthritis Research, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Tõnu Esko
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
- Divisions of Endocrinology and Genetics and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston Massachusetts 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
| | - Jessica D. Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan, USA
| | - Ian Ford
- Robertson Centre for Biostatistics, University of Glasgow, UK
| | - Terrence Forrester
- Tropical Metabolism Research Unit, Tropical Medicine Research Institute, University of the West Indies, Mona, JMAAW15 Jamaica
| | - Karl Gertow
- Cardiovascular Medicine Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Center for Molecular Medicine, Karolinska University Hospital Solna, Stockholm, Sweden
| | - Bruna Gigante
- Unit of Cardiovascular Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Nicola Glorioso
- Hypertension and Related Disease Centre, AOU-University of Sassari
| | - Jian Gong
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle Washington USA
| | - Harald Grallert
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764 Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München - German Research Center for Environmental Health, D-85764 Neuherberg, Germany
- German Center for Diabetes Research, D-85764 Neuherberg, Germany
| | - Tanja B. Grammer
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Niels Grarup
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Saskia Haitjema
- Laboratory of Experimental Cardiology, Department of Cardiology, Division Heart & Lungs, UMC Utrecht, The Netherlands
| | - Göran Hallmans
- Department of Public Health and Clinical Medicine, Section for Nutritional Research, Umeå University, Umeå, Sweden
| | - Anders Hamsten
- Cardiovascular Medicine Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Center for Molecular Medicine, Karolinska University Hospital Solna, Stockholm, Sweden
| | - Torben Hansen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Tamara B. Harris
- Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
| | - Catharina A. Hartman
- Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
| | - Maija Hassinen
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Nicholas D. Hastie
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland
| | - Andrew C. Heath
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Dena Hernandez
- Laboratory of Neurogenetics, National Institute on Aging, Bethesda, Maryland, USA
| | - Lucia Hindorff
- Division of Genomic Medicine, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Lynne J. Hocking
- Institute of Medical Sciences, University of Aberdeen, Foresterhill, Aberdeen AB25 2ZD, UK
- Generation Scotland, Centre for Genomic and Experimental Medicine, University of Edinburgh, Edinburgh, Scotland
| | - Mette Hollensted
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Germany
| | - Jouke Jan Hottenga
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
| | - Jie Huang
- Department of Human Genetics, Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK
| | - Joseph Hung
- School of Medicine and Pharmacology, The University of Western Australia, 25 Stirling Hwy, Crawley, Western Australia 6009, Australia
- Department of Cardiovascular Medicine, Sir Charles Gairdner Hospital, Nedlands, Western Australia 6009, Australia
| | - Nina Hutri-Kähönen
- Department of Pediatrics, Tampere University Hospital, Tampere 33521, Finland
- Department of Pediatrics, Faculty of Medicine and Life Sciences, University of Tampere, Tampere 33014, Finland
| | - Erik Ingelsson
- Department of Medical Sciences, Molecular Epidemiology, Uppsala University, Uppsala, 751 85, Sweden
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California 94305, USA
- Science for Life Laboratory, Uppsala University, Uppsala, 750 85, Sweden
| | - Alan L. James
- Busselton Population Medical Research Institute, Nedlands, Western Australia 6009, Australia
- School of Medicine and Pharmacology, The University of Western Australia, 25 Stirling Hwy, Crawley, Western Australia 6009, Australia
- Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Nedlands, Western Australia 6009, Australia
| | - John-Olov Jansson
- Department of Physiology, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Marjo-Riitta Jarvelin
- Department of Epidemiology and Biostatistics, MRC–PHE Centre for Environment & Health, School of Public Health, Imperial College London, UK
- Center for Life Course Epidemiology, Faculty of Medicine, University of OuluP.O.Box 5000, FI-90014, Finland
- Biocenter Oulu, University of Oulu, Finland
- Unit of Primary Care, Oulu University Hospital, Kajaanintie 50, P.O.Box 20, FI-90220, 90029 Oulu, Finland
| | - Min A. Jhun
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | | | - Markus Juonala
- Department of Medicine, University of Turku, Turku 20520 Finland
- Division of Medicine, Turku University Hospital, Turku 20521, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, Tampere 33521, Finland
- Department of Clinical Physiology, Faculty of Medicine and Life Sciences, University of Tampere, Tampere 33014, Finland
| | - Magnus Karlsson
- Clinical and Molecular Osteoporosis Research Unit, Department of Orthopedics and Clinical Sciences, Skåne University Hospital, Lund University, Malmö, Sweden
| | - Heikki A. Koistinen
- Department of Health, National Institute for Health and Welfare, Helsinki, FI-00271 Finland
- Department of Medicine and Abdominal Center: Endocrinology, University of Helsinki and Helsinki University Central Hospital, Helsinki, FI-00029 Finland
- Minerva Foundation Institute for Medical Research, Biomedicum 2U, Helsinki, FI-00290 Finland
| | - Ivana Kolcic
- Department of Public Health, Faculty of Medicine, University of Split, Croatia
| | - Genovefa Kolovou
- Department of Cardiology, Onassis Cardiac Surgery Center, Athens, Greece
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle Washington USA
| | - Bernhard K. Krämer
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Johanna Kuusisto
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, 70210 Kuopio, Finland
| | - Kirsti Kvaløy
- HUNT Research Centre, Department of Public Health and Nursing, Norwegian University of Science and Technology, 7600 Levanger, Norway
| | - Timo A. Lakka
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
- Institute of Biomedicine/Physiology, University of Eastern Finland, Kuopio Campus, Finland
| | - Claudia Langenberg
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge CB2 0QQ, UK
| | - Lenore J. Launer
- Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
| | - Karin Leander
- Unit of Cardiovascular Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Nanette R. Lee
- USC-Office of Population Studies Foundation, Inc., University of San Carlos, Cebu City 6000, Philippines
- Department of Anthropology, Sociology and History, University of San Carlos, Cebu City 6000, Philippines
| | - Lars Lind
- Department of Medical Sciences, Cardiovascular Epidemiology, Uppsala University, Uppsala 751 85, Sweden
| | - Cecilia M. Lindgren
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
- Li Ka Shing Centre for Health Information and Discovery, The Big Data Institute, University of Oxford, Oxford OX3 7BN, UK
| | - Allan Linneberg
- Research Centre for Prevention and Health, the Capital Region of Denmark, Copenhagen, Denmark
- Department of Clinical Experimental Research, Rigshospitalet, Glostrup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Stephane Lobbens
- University of Lille, CNRS, Institut Pasteur of Lille, UMR 8199 - EGID, Lille, France
| | - Marie Loh
- Dept Epidemiology and Biostatistics, School of Public Health, Imperical College London, UK
- Translational Laboratory in Genetic Medicine (TLGM), Agency for Science, Technology and Research (A*STAR), 8A Biomedical Grove, Immunos, Level 5, Singapore 138648, Singapore
| | - Mattias Lorentzon
- Centre for Bone and Arthritis Research, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Robert Luben
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Gitta Lubke
- Department of Psychology, University of Notre Dame, Notre Dame, USA
| | - Anja Ludolph-Donislawski
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, D-85764 Neuherberg, Germany
- Institute of Medical Informatics, Biometry and Epidemiology, Chair of Genetic Epidemiology, Ludwig-Maximilians-Universität, D-81377 Munich, Germany
| | - Sara Lupoli
- Department of Health Sciences, University of Milan,Via A. Di Rudiní, 8 20142, Milano, Italy
| | - Pamela A. F. Madden
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Reija Männikkö
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne university hospital (CHUV), Lausanne, Switzerland
| | - Nicholas G. Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Colin A. McKenzie
- Tropical Metabolism Research Unit, Tropical Medicine Research Institute, University of the West Indies, Mona, JMAAW15 Jamaica
| | - Barbara McKnight
- Department of Biostatistics, University of Washington, Seattle, Washington 98195, USA
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington 98101, USA
- Program in Biostatistics and Biomathematics, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - Dan Mellström
- Centre for Bone and Arthritis Research, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Cristina Menni
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Grant W. Montgomery
- Molecular Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - AW (Bill) Musk
- Busselton Population Medical Research Institute, Nedlands, Western Australia 6009, Australia
- School of Population Health, The University of Western Australia, 35 Stirling Hwy, Crawley, Western Australia 6009, Australia
- Department of Respiratory Medicine, Sir Charles Gairdner Hospital, Nedlands, Western Australia 6009, Australia
| | - Narisu Narisu
- Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, NIH, Bethesda, Maryland 20892, USA
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Germany
| | - Ilja M. Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, The Netherlands
| | - Albertine J. Oldehinkel
- Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
| | - Matthias Olden
- Department of Genetic Epidemiology, Institute of Epidemiology and Preventive Medicine, University of Regensburg, D-93053 Regensburg, Germany
| | - Ken K. Ong
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge CB2 0QQ, UK
| | - Sandosh Padmanabhan
- Generation Scotland, Centre for Genomic and Experimental Medicine, University of Edinburgh, Edinburgh, Scotland
- Institute of Cardiovascular and Medical Sciences, BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Scotland
| | - Patricia A. Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Charlotta Pisinger
- Research Center for Prevention and Health, Glostrup Hospital, Glostrup Denmark
- Department of Public Health, Faculty of Health Sciences, University of Copenhagen, Denmark
| | - David J. Porteous
- Generation Scotland, Centre for Genomic and Experimental Medicine, University of Edinburgh, Edinburgh, Scotland
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh
| | - Olli T. Raitakari
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku 20521, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku 20520, Finland
| | - Tuomo Rankinen
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - D. C. Rao
- Division of Biostatistics, Washington University School of Medicine, St Louis, Missouri, USA
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA
- Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Laura J. Rasmussen-Torvik
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Rajesh Rawal
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764 Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München - German Research Center for Environmental Health, D-85764 Neuherberg, Germany
| | - Treva Rice
- Division of Biostatistics, Washington University School of Medicine, St Louis, Missouri, USA
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Paul M. Ridker
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts USA
- Division of Cardiology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Lynda M. Rose
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts USA
| | - Stephanie A. Bien
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle Washington USA
| | - Igor Rudan
- Usher Institute for Population Health Sciences and Informatics, The University of Edinburgh, Scotland, UK
| | - Serena Sanna
- Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale Delle Ricerche (CNR), Cittadella Universitaria di Monserrato, 09042, Monserrato, Italy
| | - Mark A. Sarzynski
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Naveed Sattar
- BHF Glasgow Cardiovascular Research Centre, Faculty of Medicine, Glasgow, UK
| | - Kai Savonen
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - David Schlessinger
- Laboratory of Genetics, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA
| | - Salome Scholtens
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, The Netherlands
| | - Claudia Schurmann
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, USA
- The Genetics of Obesity and Related Metabolic Traits Program, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Robert A. Scott
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge CB2 0QQ, UK
| | - Bengt Sennblad
- Cardiovascular Medicine Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Center for Molecular Medicine, Karolinska University Hospital Solna, Stockholm, Sweden
- Science for Life Laboratory, Karolinska Institutet, Stockholm, Sweden
| | - Marten A. Siemelink
- Laboratory of Experimental Cardiology, Department of Cardiology, Division Heart & Lungs, UMC Utrecht, The Netherlands
| | - Günther Silbernagel
- Division of Angiology, Department of Internal Medicine, Medical University of Graz, Austria
| | - P Eline Slagboom
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, The Netherlands
| | - Jan A. Staessen
- Research Unit Hypertension and Cardiovascular Epidemiology, Department of Cardiovascular Science , University of Leuven, Campus Sint Rafael, Kapucijnenvoer 35, Leuven; Belgium
- R&D VitaK Group, Maastricht University, Brains Unlimited Building, Oxfordlaan 55, Maastricht, The Netherlands
| | - David J. Stott
- Institute of Cardiovascular and Medical Sciences, Faculty of Medicine, University of Glasgow, UK
| | - Morris A. Swertz
- Department of Genetics, University of Groningen, University Medical Center Groningen, The Netherlands
| | - Amy J. Swift
- Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, NIH, Bethesda, Maryland 20892, USA
| | - Kent D. Taylor
- Center for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor/UCLA Medical Center, Torrance, California, USA
- Department of Pediatrics, University of California Los Angeles, Los Angeles, California, USA
| | - Bamidele O. Tayo
- Department of Public Health Sciences, Stritch School of Medicine, Loyola University of Chicago, Maywood, Illinois 61053, USA
| | - Barbara Thorand
- Institute of Epidemiology II, Helmholtz Zentrum München - German Research Center for Environmental Health, D-85764 Neuherberg, Germany
- German Center for Diabetes Research, D-85764 Neuherberg, Germany
| | - Dorothee Thuillier
- University of Lille, CNRS, Institut Pasteur of Lille, UMR 8199 - EGID, Lille, France
| | - Jaakko Tuomilehto
- Research Division, Dasman Diabetes Institute, Dasman, Kuwait
- Department of Neurosciences and Preventive Medicine, Danube-University Krems, 3500 Krems, Austria
- Saudi Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Andre G. Uitterlinden
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Liesbeth Vandenput
- Centre for Bone and Arthritis Research, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Marie-Claude Vohl
- Institute of Nutrition and Functional Foods, Université Laval, Québec, Canada
- School of Nutrition, Université Laval, Québec, Canada
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Germany
| | - Judith M. Vonk
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, The Netherlands
| | - Gérard Waeber
- Department of Medicine, Internal Medicine, Lausanne university hospital (CHUV), Lausanne, Switzerland
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764 Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München - German Research Center for Environmental Health, D-85764 Neuherberg, Germany
| | - R. G. J. Westendorp
- Department of Public Health, and Center for Healthy Ageing, University of Copenhagen, Denmark
| | - Sarah Wild
- Usher Institute for Population Health Sciences and Informatics, The University of Edinburgh, Scotland, UK
| | - Gonneke Willemsen
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
| | - Bruce H. R. Wolffenbuttel
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, The Netherlands
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCL, 33 Bedford Place, London, WC1B 5JU, UK
| | - Alan F. Wright
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - M Carola Zillikens
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Damiano Baldassarre
- Dipartimento di Scienze Farmacologiche e Biomolecolari, Università di Milano, Milan, Italy
- Centro Cardiologico Monzino, IRCCS, Milan, Italy
| | | | | | - Carsten A. Böger
- Department of Nephrology, University Hospital Regensburg, Regensburg, Germany
| | - Dorret I. Boomsma
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
| | - Claude Bouchard
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Marcel Bruinenberg
- Lifelines Cohort Study, PO Box 30001, 9700 RB Groningen, The Netherlands
| | - Daniel I. Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts USA
- Division of Genetics, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Yii-DerIda Chen
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute and Department of Pediatrics, Harbor-UCLA, Torrance, California 90502, USA
| | - Peter S. Chines
- Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, NIH, Bethesda, Maryland 20892, USA
| | - Richard S. Cooper
- Department of Public Health Sciences, Stritch School of Medicine, Loyola University of Chicago, Maywood, Illinois 61053, USA
| | - Francesco Cucca
- Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale Delle Ricerche (CNR), Cittadella Universitaria di Monserrato, 09042, Monserrato, Italy
- Dipartimento di Scienze Biomediche, Universita' degli Studi di Sassari, Sassari, Italy
| | - Daniele Cusi
- Sanipedia srl, Bresso (Milano), Italy and Institute of Biomedical Technologies National Centre of Research Segrate, Milano, Italy
| | - Ulf de Faire
- Unit of Cardiovascular Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Luigi Ferrucci
- Translational Gerontology Branch, National Institute on Aging, Baltimore Maryland, USA
| | - Paul W. Franks
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, SE-205 02 Malmö, Sweden
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02115, USA
- Department of Public Health & Clinical Medicine, Umeå University, Umeå, Sweden
| | - Philippe Froguel
- University of Lille, CNRS, Institut Pasteur of Lille, UMR 8199 - EGID, Lille, France
- Department of Genomics of Common Disease, Imperial College London, London, UK
| | - Penny Gordon-Larsen
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill North Carolina, 27516, USA
| | - Hans- Jörgen Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Germany
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Germany
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Christopher A. Haiman
- Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California, 90089, USA
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland
- Generation Scotland, Centre for Genomic and Experimental Medicine, University of Edinburgh, Edinburgh, Scotland
| | - Kristian Hveem
- HUNT Research Centre, Department of Public Health and Nursing, Norwegian University of Science and Technology, 7600 Levanger, Norway
| | - Andrew D. Johnson
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, The Framingham Heart Study, Framingham, Massachusetts, USA
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, The Netherlands
- Durrer Center for Cardiogenetic Research, Amsterdam, The Netherlands
- Interuniversity Cardiology Institute of the Netherlands, Utrecht, The Netherlands
| | - Sharon L. R. Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Mika Kivimaki
- Department of Epidemiology and Public Health, UCL, London, WC1E 6BT, UK
| | - Jaspal S. Kooner
- Cardiology, Ealing Hospital NHS Trust, Middlesex, UK
- Imperial College Healthcare NHS Trust, London, UK
- Faculty of Med, National Heart & Lung Institute, Cardiovascular Science, Hammersmith Campus, Hammersmith Hospital, Hammersmith Campus, Imperial College London, UK
| | - Diana Kuh
- MRC Unit for Lifelong Health and Ageing at UCL, 33 Bedford Place, London, WC1B 5JU, UK
| | - Markku Laakso
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, 70210 Kuopio, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere 33520, Finland
- Department of Clinical Chemistry, Faculty of Medicine and Life Sciences, University of Tampere, Tampere 33014, Finland
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii 96813, USA
| | - Winfried März
- Synlab Academy, Synlab Services GmbH, Mannheim, Germany
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria
| | - Mark I. McCarthy
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford OX3 7LJ, UK
- Oxford National Institute for Health Research (NIHR) Biomedical Research Centre, Churchill Hospital, Oxford, UK
| | - Andres Metspalu
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
| | - Andrew P. Morris
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
- Department of Biostatistics, University of Liverpool, Liverpool L69 3GL, UK
| | - Claes Ohlsson
- Centre for Bone and Arthritis Research, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Lyle J. Palmer
- School of Public Health, University of Adelaide, Adelaide, South Australia, Australia
| | - Gerard Pasterkamp
- Laboratory of Experimental Cardiology, Department of Cardiology, Division Heart & Lungs, UMC Utrecht, The Netherlands
- Laboratory of Clinical Chemistry and Hematology, Division Laboratories & Pharmacy, UMC Utrecht, The Netherlands
| | - Oluf Pedersen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Annette Peters
- Institute of Epidemiology II, Helmholtz Zentrum München - German Research Center for Environmental Health, D-85764 Neuherberg, Germany
- German Center for Diabetes Research, D-85764 Neuherberg, Germany
| | - Ulrike Peters
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle Washington USA
| | - Ozren Polasek
- Usher Institute for Population Health Sciences and Informatics, The University of Edinburgh, Scotland, UK
- Department of Public Health, Faculty of Medicine, University of Split, Croatia
| | - Bruce M. Psaty
- Department of Medicine, University of Washington, Seattle, Washington 98195, USA
- Department of Epidemiology, University of Washington, Seattle, Washington 98101, USA
- Group Health Research Institute, Group Health Cooperative, Seattle, Washington 98101, USA
| | - Lu Qi
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02115, USA
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana, USA
| | - Rainer Rauramaa
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland
| | - Blair H. Smith
- Generation Scotland, Centre for Genomic and Experimental Medicine, University of Edinburgh, Edinburgh, Scotland
- Division of Population Health Sciences, Ninewells Hospital and Medical School, University of Dundee, Dundee, DD2 4RB, Scotland
| | - Thorkild I. A. Sørensen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Epidemiology (formerly Institute of Preventive Medicine), Bispebjerg and Frederiksberg Hospital (2000 Frederiksberg), The Capital Region, Copenhagen, Denmark
- MRC Integrative Epidemiology Unit, Bristol University, Bristol, UK
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, D-85764 Neuherberg, Germany
- Institute of Medical Informatics, Biometry and Epidemiology, Chair of Genetic Epidemiology, Ludwig-Maximilians-Universität, D-81377 Munich, Germany
| | - Henning Tiemeier
- Department of Psychiatry Erasmus Medical Center, Rotterdam, The Netherlands
| | - Elena Tremoli
- Dipartimento di Scienze Farmacologiche e Biomolecolari, Università di Milano, Milan, Italy
- Centro Cardiologico Monzino, IRCCS, Milan, Italy
| | - Pim van der Harst
- Department of Cardiology, University Medical Center Groningen, University of Groningen, The Netherlands
- Department of Genetics, University of Groningen, University Medical Center Groningen, The Netherlands
- Durrer Center for Cardiogenetic Research, ICIN-Netherlands Heart Institute, Utrecht, The Netherlands
| | - Henrik Vestergaard
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Steno Diabetes Center, Gentofte, Denmark
| | - Peter Vollenweider
- Department of Medicine, Internal Medicine, Lausanne university hospital (CHUV), Lausanne, Switzerland
| | - Nicholas J. Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge CB2 0QQ, UK
| | - David R. Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan, USA
| | - John B. Whitfield
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - James F. Wilson
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland
- Usher Institute for Population Health Sciences and Informatics, The University of Edinburgh, Scotland, UK
| | - Jessica Tyrrell
- Genetics of Complex Traits, University of Exeter Medical School, RILD Building University of Exeter, Exeter, EX2 5DW, UK
- European Centre for Environment and Human Health, University of Exeter Medical School, The Knowledge Spa, Truro TR1 3HD, UK
| | - Timothy M. Frayling
- Genetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter EX1 2LU, UK
| | - Inês Barroso
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK
- NIHR Cambridge Biomedical Research Centre, Level 4, Institute of Metabolic Science Box 289 Addenbrooke's Hospital Cambridge CB2 OQQ, UK
- University of Cambridge Metabolic Research Laboratories, Level 4, Institute of Metabolic Science Box 289 Addenbrooke's Hospital Cambridge CB2 OQQ, UK
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Panagiotis Deloukas
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK
- Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah, Saudi Arabia
| | - Caroline S. Fox
- NHLBI Framingham Heart Study, Framingham, Massachusetts, 01702 USA
| | - Joel N. Hirschhorn
- Divisions of Endocrinology and Genetics and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston Massachusetts 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
- Department of Genetics, Harvard Medical School, Boston Massachusetts 02115, USA
| | - David J. Hunter
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02115, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02115, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Tim D. Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - David P. Strachan
- Population Health Research Institute, St. George's, University of London, London, SW17 0RE, UK
- Division of Population Health Sciences and Education, St George's, University of London, London SW17 0RE, UK
| | - Cornelia M. van Duijn
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3015GE, The Netherlands
- Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA). Leiden, The Netherlands
- Center for Medical Systems Biology, Leiden, The Netherlands
| | - Iris M. Heid
- Department of Genetic Epidemiology, Institute of Epidemiology and Preventive Medicine, University of Regensburg, D-93053 Regensburg, Germany
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg 85764, Germany
| | - Karen L. Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599, USA
| | | | - Ruth J. F. Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, USA
- The Genetics of Obesity and Related Metabolic Traits Program, Icahn School of Medicine at Mount Sinai, New York, USA
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge CB2 0QQ, UK
- Mount Sinai School of Medicine, New York 10029, USA
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Tuomas O. Kilpeläinen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge CB2 0QQ, UK
- Department of Preventive Medicine, The Icahn School of Medicine at Mount Sinai, New York, 10029, USA
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA
| | - Ingrid B. Borecki
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine; St. Louis, Missouri, 63108 USA
| | - Kari E. North
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina 27599, USA
| | - L Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA
- NHLBI Framingham Heart Study, Framingham, Massachusetts, 01702 USA
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5
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Trompet S, Postmus I, Slagboom PE, Heijmans BT, Smit RAJ, Maier AB, Buckley BM, Sattar N, Stott DJ, Ford I, Westendorp RGJ, de Craen AJM, Jukema JW. Non-response to (statin) therapy: the importance of distinguishing non-responders from non-adherers in pharmacogenetic studies. Eur J Clin Pharmacol 2016; 72:431-7. [PMID: 26686871 PMCID: PMC4792342 DOI: 10.1007/s00228-015-1994-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2015] [Accepted: 12/01/2015] [Indexed: 11/16/2022]
Abstract
PURPOSE In pharmacogenetic research, genetic variation in non-responders and high responders is compared with the aim to identify the genetic loci responsible for this variation in response. However, an important question is whether the non-responders are truly biologically non-responsive or actually non-adherent? Therefore, the aim of this study was to describe, within the PROspective Study of Pravastatin in the Elderly at Risk (PROSPER), characteristics of both non-responders and high responders of statin treatment in order to possibly discriminate non-responders from non-adherers. METHODS Baseline characteristics of non-responders to statin therapy (≤10 % LDL-C reduction) were compared with those of high responders (>40 % LDL-C reduction) through a linear regression analysis. In addition, pharmacogenetic candidate gene analysis was performed to show the effect of excluding non-responders from the analysis. RESULTS Non-responders to statin therapy were younger (p = 0.001), more often smoked (p < 0.001), had a higher alcohol consumption (p < 0.001), had lower LDL cholesterol levels (p < 0.001), had a lower prevalence of hypertension (p < 0.001), and had lower cognitive function (p = 0.035) compared to subjects who highly responded to pravastatin treatment. Moreover, excluding non-responders from pharmacogenetic studies yielded more robust results, as standard errors decreased. CONCLUSION Our results suggest that non-responders to statin therapy are more likely to actually be non-adherers, since they have more characteristics that are viewed as indicators of high self-perceived health and low disease awareness, possibly making the subjects less adherent to study medication. We suggest that in pharmacogenetic research, extreme non-responders should be excluded to overcome the problem that non-adherence is investigated instead of non-responsiveness.
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Affiliation(s)
- S Trompet
- Department of Cardiology, C5-R, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands.
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands.
| | - I Postmus
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - P E Slagboom
- Section of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - B T Heijmans
- Section of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - R A J Smit
- Department of Cardiology, C5-R, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - A B Maier
- Section Gerontology and Geriatrics, Department of Internal Medicine, VU Medical Center, Amsterdam, The Netherlands
| | - B M Buckley
- Department of Pharmacology and Therapeutics, University College Cork, Cork, Ireland
| | - N Sattar
- BHF Glasgow Cardiovascular Research Centre, Faculty of Medicine, Glasgow, UK
| | - D J Stott
- Institute of Cardiovascular and Medical Sciences, Faculty of Medicine, University of Glasgow, Glasgow, UK
| | - I Ford
- Robertson Center for Biostatistics, University of Glasgow, Glasgow, UK
| | - R G J Westendorp
- Faculty of Health and Medical Sciences, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - A J M de Craen
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - J W Jukema
- Department of Cardiology, C5-R, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands
- Durrer Center for Cardiogenetic Research, Amsterdam, The Netherlands
- Interuniversity Cardiology Institute of the Netherlands, Utrecht, the Netherlands
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6
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Ibrahim-Verbaas CA, Bressler J, Debette S, Schuur M, Smith AV, Bis JC, Davies G, Trompet S, Smith JA, Wolf C, Chibnik LB, Liu Y, Vitart V, Kirin M, Petrovic K, Polasek O, Zgaga L, Fawns-Ritchie C, Hoffmann P, Karjalainen J, Lahti J, Llewellyn DJ, Schmidt CO, Mather KA, Chouraki V, Sun Q, Resnick SM, Rose LM, Oldmeadow C, Stewart M, Smith BH, Gudnason V, Yang Q, Mirza SS, Jukema JW, deJager PL, Harris TB, Liewald DC, Amin N, Coker LH, Stegle O, Lopez OL, Schmidt R, Teumer A, Ford I, Karbalai N, Becker JT, Jonsdottir MK, Au R, Fehrmann RSN, Herms S, Nalls M, Zhao W, Turner ST, Yaffe K, Lohman K, van Swieten JC, Kardia SLR, Knopman DS, Meeks WM, Heiss G, Holliday EG, Schofield PW, Tanaka T, Stott DJ, Wang J, Ridker P, Gow AJ, Pattie A, Starr JM, Hocking LJ, Armstrong NJ, McLachlan S, Shulman JM, Pilling LC, Eiriksdottir G, Scott RJ, Kochan NA, Palotie A, Hsieh YC, Eriksson JG, Penman A, Gottesman RF, Oostra BA, Yu L, DeStefano AL, Beiser A, Garcia M, Rotter JI, Nöthen MM, Hofman A, Slagboom PE, Westendorp RGJ, Buckley BM, Wolf PA, Uitterlinden AG, Psaty BM, Grabe HJ, Bandinelli S, Chasman DI, Grodstein F, Räikkönen K, Lambert JC, Porteous DJ, Price JF, Sachdev PS, Ferrucci L, Attia JR, Rudan I, Hayward C, Wright AF, Wilson JF, Cichon S, Franke L, Schmidt H, Ding J, de Craen AJM, Fornage M, Bennett DA, Deary IJ, Ikram MA, Launer LJ, Fitzpatrick AL, Seshadri S, van Duijn CM, Mosley TH. GWAS for executive function and processing speed suggests involvement of the CADM2 gene. Mol Psychiatry 2016; 21:189-197. [PMID: 25869804 PMCID: PMC4722802 DOI: 10.1038/mp.2015.37] [Citation(s) in RCA: 103] [Impact Index Per Article: 12.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2013] [Revised: 01/21/2015] [Accepted: 02/11/2015] [Indexed: 01/20/2023]
Abstract
To identify common variants contributing to normal variation in two specific domains of cognitive functioning, we conducted a genome-wide association study (GWAS) of executive functioning and information processing speed in non-demented older adults from the CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) consortium. Neuropsychological testing was available for 5429-32,070 subjects of European ancestry aged 45 years or older, free of dementia and clinical stroke at the time of cognitive testing from 20 cohorts in the discovery phase. We analyzed performance on the Trail Making Test parts A and B, the Letter Digit Substitution Test (LDST), the Digit Symbol Substitution Task (DSST), semantic and phonemic fluency tests, and the Stroop Color and Word Test. Replication was sought in 1311-21860 subjects from 20 independent cohorts. A significant association was observed in the discovery cohorts for the single-nucleotide polymorphism (SNP) rs17518584 (discovery P-value=3.12 × 10(-8)) and in the joint discovery and replication meta-analysis (P-value=3.28 × 10(-9) after adjustment for age, gender and education) in an intron of the gene cell adhesion molecule 2 (CADM2) for performance on the LDST/DSST. Rs17518584 is located about 170 kb upstream of the transcription start site of the major transcript for the CADM2 gene, but is within an intron of a variant transcript that includes an alternative first exon. The variant is associated with expression of CADM2 in the cingulate cortex (P-value=4 × 10(-4)). The protein encoded by CADM2 is involved in glutamate signaling (P-value=7.22 × 10(-15)), gamma-aminobutyric acid (GABA) transport (P-value=1.36 × 10(-11)) and neuron cell-cell adhesion (P-value=1.48 × 10(-13)). Our findings suggest that genetic variation in the CADM2 gene is associated with individual differences in information processing speed.
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Affiliation(s)
- CA Ibrahim-Verbaas
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus
University Medical Center, Rotterdam, The Netherlands,Department of Neurology, Erasmus University Medical Center,
Rotterdam, The Netherlands,Geriatric Unit, Azienda Sanitaria Firenze (ASF), Florence,
Italy
| | - J Bressler
- Human Genetics Center, School of Public Health, University of
Texas Health Science Center at Houston, Houston, TX, USA,Geriatric Unit, Azienda Sanitaria Firenze (ASF), Florence,
Italy
| | - S Debette
- Department of Neurology, Boston University School of Medicine,
Boston, MA, USA,Institut National de la Santé et de la Recherche
Médicale (INSERM), U897, Epidemiology and Biostatistics, University of Bordeaux,
Bordeaux, France,Department of Neurology, Bordeaux University Hospital, Bordeaux,
France,Geriatric Unit, Azienda Sanitaria Firenze (ASF), Florence,
Italy
| | - M Schuur
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus
University Medical Center, Rotterdam, The Netherlands,Department of Neurology, Erasmus University Medical Center,
Rotterdam, The Netherlands,Geriatric Unit, Azienda Sanitaria Firenze (ASF), Florence,
Italy
| | - AV Smith
- Icelandic Heart Association, Kopavogur, Iceland,Faculty of Medicine, University of Iceland, Reykjavik,
Iceland,Geriatric Unit, Azienda Sanitaria Firenze (ASF), Florence,
Italy
| | - JC Bis
- Cardiovascular Health Research Unit, Department of Medicine,
University of Washington, Seattle, WA, USA,Geriatric Unit, Azienda Sanitaria Firenze (ASF), Florence,
Italy
| | - G Davies
- Centre for Cognitive Ageing and Cognitive Epidemiology, The
University of Edinburgh, Edinburgh, UK,Geriatric Unit, Azienda Sanitaria Firenze (ASF), Florence,
Italy
| | - S Trompet
- Department of Cardiology, Leiden University Medical Center,
Leiden, The Netherlands,Department of Gerontology and Geriatrics, Leiden University
Medical Center, Leiden, The Netherlands
| | - JA Smith
- Department of Epidemiology, University of Michigan, Ann Arbor,
MI, USA
| | - C Wolf
- RG Statistical Genetics, Max Planck Institute of Psychiatry,
Munich, Germany
| | - LB Chibnik
- Program in Translational Neuropsychiatric Genomics, Department
of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - Y Liu
- Department of Epidemiology, Wake Forest School of Medicine,
Winston-Salem, NC, USA
| | - V Vitart
- MRC Human Genetics Unit, Institute of Genetics and Molecular
Medicine, University of Edinburgh, Edinburgh, UK
| | - M Kirin
- Centre for Population Health Sciences, University of Edinburgh,
Edinburgh, UK
| | - K Petrovic
- Department of Neurology, Medical University and General
Hospital of Graz, Graz, Austria
| | - O Polasek
- Department of Public Health, University of Split, Split,
Croatia
| | - L Zgaga
- Department of Public Health and Primary Care, Trinity College
Dublin, Dublin, Ireland
| | - C Fawns-Ritchie
- Centre for Cognitive Ageing and Cognitive Epidemiology, The
University of Edinburgh, Edinburgh, UK
| | - P Hoffmann
- Institute of Neuroscience and Medicine (INM -1), Research
Center Juelich, Juelich, Germany,Division of Medical Genetics, Department of Biomedicine,
University of Basel, Basel, Switzerland,Department of Genomics, Life and Brain Research Center,
Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - J Karjalainen
- Department of Genetics, University Medical Centre Groningen,
University of Groningen, Groningen, The Netherlands
| | - J Lahti
- Institute of Behavioural Sciences, University of Helsinki,
Helsinki, Finland,Folkhälsan Research Centre, Helsinki, Finland
| | - DJ Llewellyn
- Institute of Biomedical and Clinical Sciences, University of
Exeter Medical School, Exeter, UK
| | - CO Schmidt
- Institute for Community Medicine, University Medicine
Greifswald, Greifswald, Germany
| | - KA Mather
- Centre for Healthy Brain Ageing, School of Psychiatry, UNSW
Medicine, University of New South Wales, Sydney, Australia
| | - V Chouraki
- Inserm, U1167, Institut Pasteur de Lille, Université
Lille-Nord de France, Lille, France
| | - Q Sun
- Channing Division of Network Medicine, Department of Medicine,
Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - SM Resnick
- Laboratory of Behavioral Neuroscience, National Institute on
Aging, NIH, Baltimore, MD, USA
| | - LM Rose
- Division of Preventive Medicine, Brigham and Women's Hospital,
Boston, MA, USA
| | - C Oldmeadow
- Hunter Medical Research Institute and Faculty of Health,
University of Newcastle, Newcastle, NSW, Australia
| | - M Stewart
- Centre for Population Health Sciences, University of Edinburgh,
Edinburgh, UK
| | - BH Smith
- Medical Research Institute, University of Dundee, Dundee,
UK
| | - V Gudnason
- Icelandic Heart Association, Kopavogur, Iceland,Faculty of Medicine, University of Iceland, Reykjavik,
Iceland
| | - Q Yang
- The National Heart Lung and Blood Institute's Framingham Heart
Study, Framingham, MA, USA,Department of Biostatistics, Boston University School of Public
Health, Boston, MA, USA
| | - SS Mirza
- Department of Epidemiology, Erasmus University Medical Center,
Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The
Netherlands
| | - JW Jukema
- Department of Cardiology, Leiden University Medical Center,
Leiden, The Netherlands
| | - PL deJager
- Program in Translational Neuropsychiatric Genomics, Department
of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - TB Harris
- Laboratory of Epidemiology and Population Sciences, National
Institute on Aging, Bethesda, MD, USA
| | - DC Liewald
- Centre for Cognitive Ageing and Cognitive Epidemiology, The
University of Edinburgh, Edinburgh, UK,Department of Psychology, University of Edinburgh, Edinburgh,
UK
| | - N Amin
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus
University Medical Center, Rotterdam, The Netherlands
| | - LH Coker
- Division of Public Health Sciences and Neurology, Wake Forest
School of Medicine, Winston-Salem, NC, USA
| | - O Stegle
- Max Planck Institute for Developmental Biology, Max Planck
Institute for Intelligent Systems, Tübingen, Germany
| | - OL Lopez
- Department of Neurology, University of Pittsburgh, Pittsburgh,
PA, USA
| | - R Schmidt
- Department of Neurology, Medical University and General
Hospital of Graz, Graz, Austria
| | - A Teumer
- Interfaculty Institute for Genetics and Functional Genomics,
University Medicine Greifswald, Greifswald, Germany
| | - I Ford
- Robertson Center for biostatistics, University of Glasgow,
Glasgow, UK
| | - N Karbalai
- RG Statistical Genetics, Max Planck Institute of Psychiatry,
Munich, Germany
| | - JT Becker
- Department of Neurology, University of Pittsburgh, Pittsburgh,
PA, USA,Department of Psychiatry, University of Pittsburgh, Pittsburgh,
PA, USA,Department of Psychology, University of Pittsburgh, Pittsburgh,
PA, USA
| | | | - R Au
- Department of Neurology, Boston University School of Medicine,
Boston, MA, USA,The National Heart Lung and Blood Institute's Framingham Heart
Study, Framingham, MA, USA
| | - RSN Fehrmann
- Department of Genetics, University Medical Centre Groningen,
University of Groningen, Groningen, The Netherlands
| | - S Herms
- Division of Medical Genetics, Department of Biomedicine,
University of Basel, Basel, Switzerland,Department of Genomics, Life and Brain Research Center,
Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - M Nalls
- Laboratory of Neurogenetics, National Institute on Aging,
Bethesda, MD, USA
| | - W Zhao
- Department of Epidemiology, University of Michigan, Ann Arbor,
MI, USA
| | - ST Turner
- Division of Nephrology and Hypertension, Department of Internal
Medicine, Mayo Clinic, Rochester, MN, USA
| | - K Yaffe
- Departments of Psychiatry, Neurology and Epidemiology,
University of California, San Francisco and San Francisco VA Medical Center, San Francisco,
CA, USA
| | - K Lohman
- Department of Epidemiology, Wake Forest School of Medicine,
Winston-Salem, NC, USA
| | - JC van Swieten
- Department of Neurology, Erasmus University Medical Center,
Rotterdam, The Netherlands
| | - SLR Kardia
- Department of Epidemiology, University of Michigan, Ann Arbor,
MI, USA
| | - DS Knopman
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - WM Meeks
- Department of Medicine, Division of Geriatrics, University of
Mississippi Medical Center, Jackson, MS, USA
| | - G Heiss
- Department of Epidemiology, Gillings School of Global Public
Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - EG Holliday
- Hunter Medical Research Institute and Faculty of Health,
University of Newcastle, Newcastle, NSW, Australia
| | - PW Schofield
- School of Medicine and Public Health, Faculty of Health,
University of Newcastle, Newcastle, SW, Australia
| | - T Tanaka
- Translational Gerontology Branch, National Institute on Aging,
Baltimore, MD, USA
| | - DJ Stott
- Department of Cardiovascular and Medical Sciences, University
of Glasgow, Glasgow, UK
| | - J Wang
- Department of Biostatistics, Boston University School of Public
Health, Boston, MA, USA
| | - P Ridker
- Division of Preventive Medicine, Brigham and Women's Hospital,
Boston, MA, USA
| | - AJ Gow
- Centre for Cognitive Ageing and Cognitive Epidemiology, The
University of Edinburgh, Edinburgh, UK,Department of Psychology, University of Edinburgh, Edinburgh,
UK
| | - A Pattie
- Centre for Cognitive Ageing and Cognitive Epidemiology, The
University of Edinburgh, Edinburgh, UK
| | - JM Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, The
University of Edinburgh, Edinburgh, UK,Alzheimer Scotland Research Centre, Edinburgh, UK
| | - LJ Hocking
- Division of Applied Medicine, University of Aberdeen, Aberdeen,
UK
| | - NJ Armstrong
- Centre for Healthy Brain Ageing, School of Psychiatry, UNSW
Medicine, University of New South Wales, Sydney, Australia,Cancer Research Program, Garvan Institute of Medical Research,
Sydney, NSW, Australia,School of Mathematics & Statistics and Prince of Wales
Clinical School, University of New South Wales, Sydney, NSW, Australia
| | - S McLachlan
- Centre for Population Health Sciences, University of Edinburgh,
Edinburgh, UK
| | - JM Shulman
- Department of Neurology, Baylor College of Medicine, Houston,
TX, USA,Department of Molecular and Human Genetics, The Jan and Dan
Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
| | - LC Pilling
- Epidemiology and Public Health Group, University of Exeter
Medical School, Exeter, UK
| | | | - RJ Scott
- Hunter Medical Research Institute and Faculty of Health,
University of Newcastle, Newcastle, NSW, Australia
| | - NA Kochan
- Centre for Healthy Brain Ageing, School of Psychiatry, UNSW
Medicine, University of New South Wales, Sydney, Australia,Neuropsychiatric Institute, The Prince of Wales Hospital,
Sydney, NSW, Australia
| | - A Palotie
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus,
Cambridge, UK,Institute for Molecular Medicine Finland (FIMM), University of
Helsinki, Helsinki, Finland,Department of Medical Genetics, University of Helsinki and
University Central Hospital, Helsinki, Finland
| | - Y-C Hsieh
- School of Public Health, Taipei Medical University, Taipei,
Taiwan
| | - JG Eriksson
- Folkhälsan Research Centre, Helsinki, Finland,Department of General Practice and Primary Health Care,
University of Helsinki, Helsinki, Finland,National Institute for Health and Welfare, Helsinki,
Finland,Helsinki University Central Hospital, Unit of General Practice,
Helsinki, Finland,Vasa Central Hospital, Vasa, Finland
| | - A Penman
- Center of Biostatistics and Bioinformatics, University of
Mississippi Medical Center, Jackson, MS, USA
| | - RF Gottesman
- Department of Neurology, Johns Hopkins University School of
Medicine, Baltimore, MD, USA
| | - BA Oostra
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus
University Medical Center, Rotterdam, The Netherlands
| | - L Yu
- Rush Alzheimer's Disease Center, Rush University Medical
Center, Chicago, IL, USA
| | - AL DeStefano
- Department of Neurology, Boston University School of Medicine,
Boston, MA, USA,The National Heart Lung and Blood Institute's Framingham Heart
Study, Framingham, MA, USA,Department of Biostatistics, Boston University School of Public
Health, Boston, MA, USA
| | - A Beiser
- Department of Neurology, Boston University School of Medicine,
Boston, MA, USA,The National Heart Lung and Blood Institute's Framingham Heart
Study, Framingham, MA, USA,Department of Biostatistics, Boston University School of Public
Health, Boston, MA, USA
| | - M Garcia
- Laboratory of Epidemiology and Population Sciences, National
Institute on Aging, Bethesda, MD, USA
| | - JI Rotter
- Medical Genetics Institute, Cedars-Sinai Medical Center, Los
Angeles, CA, USA,Institute for Translational Genomics and Population Sciences,
Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA,
USA,Division of Genetic Outcomes, Department of Pediatrics,
Harbor-UCLA Medical Center, Torrance, CA, USA
| | - MM Nöthen
- Department of Genomics, Life and Brain Research Center,
Institute of Human Genetics, University of Bonn, Bonn, Germany,German Center for Neurodegenerative Diseases (DZNE), Bonn,
Germany
| | - A Hofman
- Department of Epidemiology, Erasmus University Medical Center,
Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The
Netherlands
| | - PE Slagboom
- Department of Molecular Epidemiology, Leiden University Medical
Center, Leiden, The Netherlands
| | - RGJ Westendorp
- Leiden Academy of Vitality and Ageing, Leiden, The
Netherlands
| | - BM Buckley
- Department of Pharmacology and Therapeutics, University College
Cork, Cork, Ireland
| | - PA Wolf
- Department of Neurology, Boston University School of Medicine,
Boston, MA, USA,The National Heart Lung and Blood Institute's Framingham Heart
Study, Framingham, MA, USA
| | - AG Uitterlinden
- Department of Epidemiology, Erasmus University Medical Center,
Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The
Netherlands,Department of Internal Medicine, Erasmus University Medical
Center, Rotterdam, The Netherlands
| | - BM Psaty
- Cardiovascular Health Research Unit, Department of Medicine,
University of Washington, Seattle, WA, USA,Department of Epidemiology, University of Washington, Seattle,
WA, USA,Department of Health Services, University of Washington,
Seattle, WA, USA,Group Health Research Institute, Group Health, Seattle, WA,
USA
| | - HJ Grabe
- Department of Psychiatry and Psychotherapy, University Medicine
Greifswald, HELIOS-Hospital Stralsund, Stralsund, Germany
| | - S Bandinelli
- Geriatric Unit, Azienda Sanitaria Firenze (ASF), Florence,
Italy
| | - DI Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital,
Boston, MA, USA
| | - F Grodstein
- Channing Division of Network Medicine, Department of Medicine,
Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - K Räikkönen
- Institute of Behavioural Sciences, University of Helsinki,
Helsinki, Finland
| | - J-C Lambert
- Inserm, U1167, Institut Pasteur de Lille, Université
Lille-Nord de France, Lille, France
| | - DJ Porteous
- Centre for Genomic and Experimental Medicine, Institute of
Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | | | - JF Price
- Centre for Population Health Sciences, University of Edinburgh,
Edinburgh, UK
| | - PS Sachdev
- Centre for Healthy Brain Ageing, School of Psychiatry, UNSW
Medicine, University of New South Wales, Sydney, Australia,Neuropsychiatric Institute, The Prince of Wales Hospital,
Sydney, NSW, Australia
| | - L Ferrucci
- Translational Gerontology Branch, National Institute on Aging,
Baltimore, MD, USA
| | - JR Attia
- Hunter Medical Research Institute and Faculty of Health,
University of Newcastle, Newcastle, NSW, Australia
| | - I Rudan
- Centre for Population Health Sciences, University of Edinburgh,
Edinburgh, UK
| | - C Hayward
- MRC Human Genetics Unit, Institute of Genetics and Molecular
Medicine, University of Edinburgh, Edinburgh, UK
| | - AF Wright
- MRC Human Genetics Unit, Institute of Genetics and Molecular
Medicine, University of Edinburgh, Edinburgh, UK
| | - JF Wilson
- Centre for Population Health Sciences, University of Edinburgh,
Edinburgh, UK
| | - S Cichon
- Division of Medical Genetics, Department of Biomedicine,
University of Basel, Basel, Switzerland,Department of Genomics, Life and Brain Research Center,
Institute of Human Genetics, University of Bonn, Bonn, Germany,Institute of Neuroscience and Medicine (INM-1), Research Center
Juelich, Juelich, Germany
| | - L Franke
- Department of Genetics, University Medical Centre Groningen,
University of Groningen, Groningen, The Netherlands
| | - H Schmidt
- Department of Neurology, Medical University and General
Hospital of Graz, Graz, Austria
| | - J Ding
- Department of Internal Medicine, Wake Forest University School
of Medicine, Winston-Salem, NC, USA
| | - AJM de Craen
- Department of Gerontology and Geriatrics, Leiden University
Medical Center, Leiden, The Netherlands
| | - M Fornage
- Institute for Molecular Medicine and Human Genetics Center,
University of Texas Health Science Center at Houston, Houston, TX, USA
| | - DA Bennett
- Rush Alzheimer's Disease Center, Rush University Medical
Center, Chicago, IL, USA
| | - IJ Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, The
University of Edinburgh, Edinburgh, UK,Department of Psychology, University of Edinburgh, Edinburgh,
UK
| | - MA Ikram
- Department of Neurology, Erasmus University Medical Center,
Rotterdam, The Netherlands,Department of Epidemiology, Erasmus University Medical Center,
Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The
Netherlands,Department of Radiology, Erasmus University Medical Center,
Rotterdam, The Netherlands
| | - LJ Launer
- Laboratory of Epidemiology and Population Sciences, National
Institute on Aging, Bethesda, MD, USA
| | - AL Fitzpatrick
- Department of Epidemiology, University of Washington, Seattle,
WA, USA
| | - S Seshadri
- Department of Neurology, Boston University School of Medicine,
Boston, MA, USA,The National Heart Lung and Blood Institute's Framingham Heart
Study, Framingham, MA, USA
| | - CM van Duijn
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus
University Medical Center, Rotterdam, The Netherlands,Netherlands Consortium for Healthy Ageing, Leiden, The
Netherlands
| | - TH Mosley
- Department of Medicine and Neurology, University of Mississippi
Medical Center, Jackson, MS, USA
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7
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Jansen SW, Akintola AA, Roelfsema F, van der Spoel E, Cobbaert CM, Ballieux BE, Egri P, Kvarta-Papp Z, Gereben B, Fekete C, Slagboom PE, van der Grond J, Demeneix BA, Pijl H, Westendorp RGJ, van Heemst D. Human longevity is characterised by high thyroid stimulating hormone secretion without altered energy metabolism. Sci Rep 2015; 5:11525. [PMID: 26089239 PMCID: PMC4473605 DOI: 10.1038/srep11525] [Citation(s) in RCA: 58] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2014] [Accepted: 05/28/2015] [Indexed: 12/25/2022] Open
Abstract
Few studies have included subjects with the propensity to reach old age in good health, with the aim to disentangle mechanisms contributing to staying healthier for longer. The hypothalamic-pituitary-thyroid (HPT) axis maintains circulating levels of thyroid stimulating hormone (TSH) and thyroid hormone (TH) in an inverse relationship. Greater longevity has been associated with higher TSH and lower TH levels, but mechanisms underlying TSH/TH differences and longevity remain unknown. The HPT axis plays a pivotal role in growth, development and energy metabolism. We report that offspring of nonagenarians with at least one nonagenarian sibling have increased TSH secretion but similar bioactivity of TSH and similar TH levels compared to controls. Healthy offspring and spousal controls had similar resting metabolic rate and core body temperature. We propose that pleiotropic effects of the HPT axis may favour longevity without altering energy metabolism.
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Affiliation(s)
- S W Jansen
- Department of Gerontology and Geriatrics, Leiden University Medical Centre, Leiden, The Netherlands
| | - A A Akintola
- Department of Gerontology and Geriatrics, Leiden University Medical Centre, Leiden, The Netherlands
| | - F Roelfsema
- Department of Medicine, Section Endocrinology, Leiden University Medical Centre, Leiden, The Netherlands
| | - E van der Spoel
- Department of Gerontology and Geriatrics, Leiden University Medical Centre, Leiden, The Netherlands
| | - C M Cobbaert
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Centre, Leiden, The Netherlands
| | - B E Ballieux
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Centre, Leiden, The Netherlands
| | - P Egri
- 1] Department of Endocrine Neurobiology, Institute of Experimental Medicine, Hungarian Academy of Sciences, Budapest, Hungary [2] Semmelweis University, János Szentágothai PhD School of Neurosciences, Budapest, H-1085 Hungary
| | - Z Kvarta-Papp
- Department of Endocrine Neurobiology, Institute of Experimental Medicine, Hungarian Academy of Sciences, Budapest, Hungary
| | - B Gereben
- Department of Endocrine Neurobiology, Institute of Experimental Medicine, Hungarian Academy of Sciences, Budapest, Hungary
| | - C Fekete
- 1] Department of Endocrine Neurobiology, Institute of Experimental Medicine, Hungarian Academy of Sciences, Budapest, Hungary [2] Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Tupper Research Institute, Tufts Medical Centre, Boston, MA, USA
| | - P E Slagboom
- Section of Molecular Epidemiology, Department of Medical Statistics, Leiden University Medical Centre, Leiden, The Netherlands
| | - J van der Grond
- Department of Radiology, Leiden University Medical Centre, Leiden, The Netherlands
| | - B A Demeneix
- UMR 7221 CNRS / MNHN Evolution des Régulations Endocriniennes, Département Régulations, Développement et Diversité Moléculaire, Muséum National d'Histoire Naturelle, Paris, France
| | - H Pijl
- Department of Medicine, Section Endocrinology, Leiden University Medical Centre, Leiden, The Netherlands
| | - R G J Westendorp
- 1] Department of Gerontology and Geriatrics, Leiden University Medical Centre, Leiden, The Netherlands [2] Department of Public Health, University of Copenhagen, Denmark
| | - D van Heemst
- Department of Gerontology and Geriatrics, Leiden University Medical Centre, Leiden, The Netherlands
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8
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Abstract
In this article, we explore views on an age-friendly space in the Netherlands by analysing the responses of older individuals (N = 54) in focus groups and by examining the perspectives around an age-friendly zone in the Netherlands, Parkstad Limburg. We found that a central issue in the wishes for living at a later age are adjustments to envisioned physical limitations that come with the ageing process; this includes adjustments to ensure safety, accessibility and mobility, in order to facilitate older individuals' efforts to stay engaged with the world around them. In their wishes, the older participants constructed ideal dwelling places that closely resembled a senior home, but at the same time they rejected wishing to live in a place that was identified as a senior home. We explain this paradox by the representation of such a space as being for old people, i.e. needy older individuals, which was not how the older participants wished to be identified. We conclude that the conception of age-friendly environments will have to face the difficult challenge of overcoming the association with old age, while simultaneously taking into account adjustments that signify and relate to the ageing process and that seem inescapably tied to oldness.
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9
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van Vliet P, Sabayan B, Wijsman LW, Poortvliet RKE, Mooijaart SP, de Ruijter W, Gussekloo J, de Craen AJM, Westendorp RGJ. NT-proBNP, blood pressure, and cognitive decline in the oldest old: The Leiden 85-plus Study. Neurology 2014; 83:1192-9. [PMID: 25142900 DOI: 10.1212/wnl.0000000000000820] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To study the relation between N-terminal pro-brain natriuretic peptide (NT-proBNP) levels, used as a marker of heart failure in clinical practice, blood pressure (BP), and cognitive decline in the oldest old. METHODS In 560 participants of the Leiden 85-plus Study, we measured NT-proBNP levels and BP at age 85 years, at baseline, and global cognitive function (Mini-Mental State Examination [MMSE]) annually during the follow-up of 5 years. RESULTS Subjects in the highest tertile of NT-proBNP levels scored 1.7 points lower on the MMSE at age 85 years than subjects in the lowest tertile (p = 0.004), and had a 0.24-point-steeper decline in MMSE score per year (p = 0.021). The longitudinal association disappeared after full adjustment for possible confounders (0.14-point-steeper decline, p = 0.187). Subjects in the category "highest tertile of NT-proBNP and the lowest tertile of systolic BP" had a 3.7-point-lower MMSE score at baseline (p < 0.001) and a 0.49-point-steeper decline in MMSE score per year (p < 0.001) compared with subjects in the other categories. CONCLUSIONS In the oldest old, high NT-proBNP levels are associated with lower MMSE scores. The combination of high NT-proBNP levels and low systolic BP is associated with worst global cognitive function and the steepest cognitive decline. Possibly, a failing pump function of the heart results in lower BP and lower brain perfusion with resultant brain dysfunction.
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Affiliation(s)
- Peter van Vliet
- From the Departments of Gerontology and Geriatrics (P.v.V., B.S., L.W.W., S.P.M., A.J.M.d.C., R.G.J.W.), Neurology (P.v.V.), Radiology (B.S.), and Public Health and Primary Care (R.K.E.P., W.d.R., J.G.), Leiden University Medical Center; and Netherlands Consortium of Healthy Ageing (L.W.W., A.J.M.d.C., R.G.J.W.), Leiden, the Netherlands.
| | - Behnam Sabayan
- From the Departments of Gerontology and Geriatrics (P.v.V., B.S., L.W.W., S.P.M., A.J.M.d.C., R.G.J.W.), Neurology (P.v.V.), Radiology (B.S.), and Public Health and Primary Care (R.K.E.P., W.d.R., J.G.), Leiden University Medical Center; and Netherlands Consortium of Healthy Ageing (L.W.W., A.J.M.d.C., R.G.J.W.), Leiden, the Netherlands
| | - Liselotte W Wijsman
- From the Departments of Gerontology and Geriatrics (P.v.V., B.S., L.W.W., S.P.M., A.J.M.d.C., R.G.J.W.), Neurology (P.v.V.), Radiology (B.S.), and Public Health and Primary Care (R.K.E.P., W.d.R., J.G.), Leiden University Medical Center; and Netherlands Consortium of Healthy Ageing (L.W.W., A.J.M.d.C., R.G.J.W.), Leiden, the Netherlands
| | - Rosalinde K E Poortvliet
- From the Departments of Gerontology and Geriatrics (P.v.V., B.S., L.W.W., S.P.M., A.J.M.d.C., R.G.J.W.), Neurology (P.v.V.), Radiology (B.S.), and Public Health and Primary Care (R.K.E.P., W.d.R., J.G.), Leiden University Medical Center; and Netherlands Consortium of Healthy Ageing (L.W.W., A.J.M.d.C., R.G.J.W.), Leiden, the Netherlands
| | - Simon P Mooijaart
- From the Departments of Gerontology and Geriatrics (P.v.V., B.S., L.W.W., S.P.M., A.J.M.d.C., R.G.J.W.), Neurology (P.v.V.), Radiology (B.S.), and Public Health and Primary Care (R.K.E.P., W.d.R., J.G.), Leiden University Medical Center; and Netherlands Consortium of Healthy Ageing (L.W.W., A.J.M.d.C., R.G.J.W.), Leiden, the Netherlands
| | - Wouter de Ruijter
- From the Departments of Gerontology and Geriatrics (P.v.V., B.S., L.W.W., S.P.M., A.J.M.d.C., R.G.J.W.), Neurology (P.v.V.), Radiology (B.S.), and Public Health and Primary Care (R.K.E.P., W.d.R., J.G.), Leiden University Medical Center; and Netherlands Consortium of Healthy Ageing (L.W.W., A.J.M.d.C., R.G.J.W.), Leiden, the Netherlands
| | - Jacobijn Gussekloo
- From the Departments of Gerontology and Geriatrics (P.v.V., B.S., L.W.W., S.P.M., A.J.M.d.C., R.G.J.W.), Neurology (P.v.V.), Radiology (B.S.), and Public Health and Primary Care (R.K.E.P., W.d.R., J.G.), Leiden University Medical Center; and Netherlands Consortium of Healthy Ageing (L.W.W., A.J.M.d.C., R.G.J.W.), Leiden, the Netherlands
| | - Anton J M de Craen
- From the Departments of Gerontology and Geriatrics (P.v.V., B.S., L.W.W., S.P.M., A.J.M.d.C., R.G.J.W.), Neurology (P.v.V.), Radiology (B.S.), and Public Health and Primary Care (R.K.E.P., W.d.R., J.G.), Leiden University Medical Center; and Netherlands Consortium of Healthy Ageing (L.W.W., A.J.M.d.C., R.G.J.W.), Leiden, the Netherlands
| | - R G J Westendorp
- From the Departments of Gerontology and Geriatrics (P.v.V., B.S., L.W.W., S.P.M., A.J.M.d.C., R.G.J.W.), Neurology (P.v.V.), Radiology (B.S.), and Public Health and Primary Care (R.K.E.P., W.d.R., J.G.), Leiden University Medical Center; and Netherlands Consortium of Healthy Ageing (L.W.W., A.J.M.d.C., R.G.J.W.), Leiden, the Netherlands
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10
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Avery CL, Sitlani CM, Arking DE, Arnett DK, Bis JC, Boerwinkle E, Buckley BM, Ida Chen YD, de Craen AJM, Eijgelsheim M, Enquobahrie D, Evans DS, Ford I, Garcia ME, Gudnason V, Harris TB, Heckbert SR, Hochner H, Hofman A, Hsueh WC, Isaacs A, Jukema JW, Knekt P, Kors JA, Krijthe BP, Kristiansson K, Laaksonen M, Liu Y, Li X, Macfarlane PW, Newton-Cheh C, Nieminen MS, Oostra BA, Peloso GM, Porthan K, Rice K, Rivadeneira FF, Rotter JI, Salomaa V, Sattar N, Siscovick DS, Slagboom PE, Smith AV, Sotoodehnia N, Stott DJ, Stricker BH, Stürmer T, Trompet S, Uitterlinden AG, van Duijn C, Westendorp RGJ, Witteman JC, Whitsel EA, Psaty BM. Drug-gene interactions and the search for missing heritability: a cross-sectional pharmacogenomics study of the QT interval. Pharmacogenomics J 2014; 14:6-13. [PMID: 23459443 PMCID: PMC3766418 DOI: 10.1038/tpj.2013.4] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/03/2012] [Revised: 12/07/2012] [Accepted: 01/03/2013] [Indexed: 01/18/2023]
Abstract
Variability in response to drug use is common and heritable, suggesting that genome-wide pharmacogenomics studies may help explain the 'missing heritability' of complex traits. Here, we describe four independent analyses in 33 781 participants of European ancestry from 10 cohorts that were designed to identify genetic variants modifying the effects of drugs on QT interval duration (QT). Each analysis cross-sectionally examined four therapeutic classes: thiazide diuretics (prevalence of use=13.0%), tri/tetracyclic antidepressants (2.6%), sulfonylurea hypoglycemic agents (2.9%) and QT-prolonging drugs as classified by the University of Arizona Center for Education and Research on Therapeutics (4.4%). Drug-gene interactions were estimated using covariable-adjusted linear regression and results were combined with fixed-effects meta-analysis. Although drug-single-nucleotide polymorphism (SNP) interactions were biologically plausible and variables were well-measured, findings from the four cross-sectional meta-analyses were null (Pinteraction>5.0 × 10(-8)). Simulations suggested that additional efforts, including longitudinal modeling to increase statistical power, are likely needed to identify potentially important pharmacogenomic effects.
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Affiliation(s)
- C L Avery
- Department of Epidemiology, Bank of America Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - C M Sitlani
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA
| | - D E Arking
- McKusick-Nathans Institute of Genetic Medicine and Department of Medicine, Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - D K Arnett
- Department of Epidemiology, The University of Alabama at Birmingham, Birmingham, AL, USA
| | - J C Bis
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA
| | - E Boerwinkle
- Division of Epidemiology and Center for Human Genetics, The University of Texas Health Science Center, Houston, TX, USA
| | - B M Buckley
- Department of Pharmacology and Therapeutics, University College Cork, Cork, UK
| | - Y-D Ida Chen
- Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - A J M de Craen
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - M Eijgelsheim
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - D Enquobahrie
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA
| | - D S Evans
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - I Ford
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - M E Garcia
- Laboratory of Epidemiology, Demography, and Biometry, Intramural Research Program, National Institute on Aging, Bethesda, MD, USA
| | - V Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
| | - T B Harris
- Laboratory of Epidemiology, Demography, and Biometry, Intramural Research Program, National Institute on Aging, Bethesda, MD, USA
| | - S R Heckbert
- 1] Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA [2] Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - H Hochner
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA
| | - A Hofman
- 1] Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands [2] Netherlands Consortium for Healthy Aging (NCHA), Leiden, The Netherlands
| | - W-C Hsueh
- Department of Medicine, University of California, San Francisco, CA, USA
| | - A Isaacs
- 1] Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands [2] Centre for Medical Systems Biology, Leiden, The Netherlands
| | - J W Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - P Knekt
- THL-National Institute for Health and Welfare, Helsinki, Finland
| | - J A Kors
- 1] Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands [2] Department of Medical Informatics, Erasmus Medical Center, Rotterdam, The Netherlands
| | - B P Krijthe
- 1] Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands [2] Netherlands Consortium for Healthy Aging (NCHA), Leiden, The Netherlands
| | - K Kristiansson
- THL-National Institute for Health and Welfare, Helsinki, Finland
| | - M Laaksonen
- THL-National Institute for Health and Welfare, Helsinki, Finland
| | - Y Liu
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University, Winston-Salem, NC, USA
| | - X Li
- Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - P W Macfarlane
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - C Newton-Cheh
- 1] Program in Medical and Population Genetics, Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA, USA [2] Center for Human Genetic Research, Cardiovascular Research Center, Harvard Medical School, Boston, MA, USA [3] Massachusetts General Hospital, Boston, MA, USA
| | - M S Nieminen
- Division of Cardiology, Department of Medicine, Helsinki University Central Hospital, Helsinki, Finland
| | - B A Oostra
- 1] Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands [2] Centre for Medical Systems Biology, Leiden, The Netherlands
| | - G M Peloso
- 1] National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA, USA [2] Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA
| | - K Porthan
- Division of Cardiology, Department of Medicine, Helsinki University Central Hospital, Helsinki, Finland
| | - K Rice
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - F F Rivadeneira
- 1] Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands [2] Netherlands Consortium for Healthy Aging (NCHA), Leiden, The Netherlands [3] Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - J I Rotter
- Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - V Salomaa
- THL-National Institute for Health and Welfare, Helsinki, Finland
| | - N Sattar
- BHF Glasgow Cardiovascular Research Centre, Faculty of Medicine, Glasgow, UK
| | - D S Siscovick
- 1] Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA [2] Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - P E Slagboom
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - A V Smith
- Icelandic Heart Association, Kopavogur, Iceland
| | - N Sotoodehnia
- Division of Cardiology, University of Washington, Seattle, WA, USA
| | - D J Stott
- Academic Section of Geriatric Medicine, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - B H Stricker
- 1] Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands [2] Netherlands Consortium for Healthy Aging (NCHA), Leiden, The Netherlands [3] Department of Medical Informatics, Erasmus Medical Center, Rotterdam, The Netherlands [4] Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - T Stürmer
- Department of Epidemiology, Bank of America Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - S Trompet
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - A G Uitterlinden
- 1] Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands [2] Netherlands Consortium for Healthy Aging (NCHA), Leiden, The Netherlands [3] Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - C van Duijn
- 1] Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands [2] Centre for Medical Systems Biology, Leiden, The Netherlands
| | - R G J Westendorp
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - J C Witteman
- 1] Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands [2] Netherlands Consortium for Healthy Aging (NCHA), Leiden, The Netherlands
| | - E A Whitsel
- 1] Department of Epidemiology, Bank of America Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA [2] Departments of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - B M Psaty
- 1] Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA [2] Department of Epidemiology, University of Washington, Seattle, WA, USA [3] Departments of Medicine, University of Washington, Seattle, WA, USA [4] Department of Health Services, University of Washington, Seattle, WA, USA [5] Group Health Research Institute, Group Health Cooperative, Seattle, WA, USA
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Bijlsma AY, Meskers CGM, van Heemst D, Westendorp RGJ, de Craen AJM, Maier AB. Diagnostic criteria for sarcopenia relate differently to insulin resistance. Age (Dordr) 2013; 35:2367-2375. [PMID: 23407994 PMCID: PMC3824998 DOI: 10.1007/s11357-013-9516-0] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2012] [Accepted: 01/29/2013] [Indexed: 05/31/2023]
Abstract
Skeletal muscle is important in insulin-stimulated glucose uptake. Sarcopenia is, therefore, a possible risk factor for insulin resistance. Currently, different diagnostic criteria for sarcopenia include low muscle mass, muscle strength, and walking speed. We assessed these muscle characteristics in relation to insulin resistance in nondiabetics. This cross-sectional study included 301 nondiabetics, mean age 65.9 years. Area under curve (AUC) calculations of insulin and glucose from a 2-h oral glucose tolerance test (OGTT) and homeostasis model assessment of insulin resistance (HOMA-IR) were used as measures of insulin resistance. Muscle characteristics were relative muscle mass (total or appendicular lean mass (ALM) as percentage of body mass), absolute muscle mass (ALM/height(2) and total lean mass), handgrip strength, and walking speed. All muscle characteristics were standardized and analyzed in linear regression models, stratified by gender. For both males and females, relative muscle mass was inversely associated with AUC insulin, AUC glucose, and HOMA-IR (ALM percentage all p ≤ 0.004). Absolute muscle mass was positively associated with AUC insulin and HOMA-IR (ALM/height(2) all p < 0.001) but not with AUC glucose. Adjustments for fat mass attenuated aforementioned associations. There were no associations between handgrip strength and insulin resistance. Walking speed was inversely associated with AUC insulin in males (p = 0.032). The association between muscle characteristics and insulin resistance was strongest for relative muscle mass. Diagnostic criteria for sarcopenia relate differently to insulin resistance. The role of muscle tissue as an internal glucose-regulating organ is better reflected by relative muscle mass than by absolute muscle mass, muscle strength, or walking speed.
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Affiliation(s)
- A. Y. Bijlsma
- />Department of Internal Medicine, Section of Gerontology and Geriatrics, VU University Medical Center, Amsterdam, The Netherlands
- />Department of Gerontology and Geriatrics, Leiden University Medical Centre, Leiden, The Netherlands
| | - C. G. M. Meskers
- />Department of Rehabilitation Medicine, Leiden University Medical Centre, Leiden, The Netherlands
| | - D. van Heemst
- />Department of Gerontology and Geriatrics, Leiden University Medical Centre, Leiden, The Netherlands
| | - R. G. J. Westendorp
- />Department of Gerontology and Geriatrics, Leiden University Medical Centre, Leiden, The Netherlands
- />Netherlands Consortium for Healthy Aging, Leiden University Medical Centre, Leiden, The Netherlands
| | - A. J. M. de Craen
- />Department of Gerontology and Geriatrics, Leiden University Medical Centre, Leiden, The Netherlands
- />Netherlands Consortium for Healthy Aging, Leiden University Medical Centre, Leiden, The Netherlands
| | - A. B. Maier
- />Department of Internal Medicine, Section of Gerontology and Geriatrics, VU University Medical Center, Amsterdam, The Netherlands
- />Netherlands Consortium for Healthy Aging, Leiden University Medical Centre, Leiden, The Netherlands
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12
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Bijlsma AY, Meskers MCG, Molendijk M, Westendorp RGJ, Sipilä S, Stenroth L, Sillanpää E, McPhee JS, Jones DA, Narici M, Gapeyeva H, Pääsuke M, Seppet E, Voit T, Barnouin Y, Hogrel JY, Butler-Browne G, Maier AB. Diagnostic measures for sarcopenia and bone mineral density. Osteoporos Int 2013; 24:2681-91. [PMID: 23649802 DOI: 10.1007/s00198-013-2376-8] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2012] [Accepted: 04/19/2013] [Indexed: 12/17/2022]
Abstract
SUMMARY Currently used diagnostic measures for sarcopenia utilize different measures of muscle mass, muscle strength, and physical performance. These diagnostic measures associate differently to bone mineral density (BMD), as an example of muscle-related clinical outcome. These differences should be taken into account when studying sarcopenia. INTRODUCTION Diagnostic measures for sarcopenia utilize different measures of muscle mass, muscle strength, and physical performance. To understand differences between these measures, we determined the association with respect to whole body BMD, as an example of muscle-related clinical outcome. METHODS In the European cross-sectional study MYOAGE, 178 young (18-30 years) and 274 healthy old participants (69-81 years) were recruited. Body composition and BMD were evaluated using dual-energy X-ray densitometry. Diagnostic measures for sarcopenia were composed of lean mass as percentage of body mass, appendicular lean mass (ALM) as percentage of body mass, ALM divided by height squared (ALM/height(2)), knee extension torque, grip strength, walking speed, and Timed Up and Go test (TUG). Linear regression models were stratified for sex and age and adjusted for age and country, and body composition in separate models. RESULTS Lean mass and ALM/height(2) were positively associated with BMD (P < 0.001). Significance remained in all sex and age subgroups after further adjustment for fat mass, except in old women. Lean mass percentage and ALM percentage were inversely associated with BMD in old women (P < 0.001). These inverse associations disappeared after adjustment for body mass. Knee extension torque and handgrip strength were positively associated with BMD in all subgroups (P < 0.01), except in old women. Walking speed and TUG were not related to BMD. CONCLUSIONS The associations between diagnostic measures of sarcopenia and BMD as an example of muscle-related outcome vary widely. Differences between diagnostic measures should be taken into account when studying sarcopenia.
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Affiliation(s)
- A Y Bijlsma
- Department of Internal Medicine, Section of Gerontology and Geriatrics, VU University Medical Center, Postbus 7057, 1007, Amsterdam, The Netherlands
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13
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Akao H, Polisecki E, Kajinami K, Trompet S, Ford I, Jukema JW, De Craen AJM, Westendorp RGJ, Packard C, Schaefer EJ. The ABCA1 gene variant and heart disease risk reduction in the elderly during pravastatin treatment. Eur Heart J 2013. [DOI: 10.1093/eurheartj/eht307.143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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14
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Bowers J, Terrien J, Clerget-Froidevaux MS, Gothié JD, Rozing MP, Westendorp RGJ, van Heemst D, Demeneix BA. Thyroid hormone signaling and homeostasis during aging. Endocr Rev 2013; 34:556-89. [PMID: 23696256 DOI: 10.1210/er.2012-1056] [Citation(s) in RCA: 70] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Studies in humans and in animal models show negative correlations between thyroid hormone (TH) levels and longevity. TH signaling is implicated in maintaining and integrating metabolic homeostasis at multiple levels, notably centrally in the hypothalamus but also in peripheral tissues. The question is thus raised of how TH signaling is modulated during aging in different tissues. Classically, TH actions on mitochondria and heat production are obvious candidates to link negative effects of TH to aging. Mitochondrial effects of excess TH include reactive oxygen species and DNA damage, 2 factors often considered as aging accelerators. Inversely, caloric restriction, which can retard aging from nematodes to primates, causes a rapid reduction of circulating TH, reducing metabolism in birds and mammals. However, many other factors could link TH to aging, and it is these potentially subtler and less explored areas that are highlighted here. For example, effects of TH on membrane composition, inflammatory responses, stem cell renewal and synchronization of physiological responses to light could each contribute to TH regulation of maintenance of homeostasis during aging. We propose the hypothesis that constraints on TH signaling at certain life stages, notably during maturity, are advantageous for optimal aging.
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Affiliation(s)
- J Bowers
- Muséum national d'Histoire Naturelle, Laboratoire de Physiologie Générale et Comparée, Unité Mixte de Recherche, Centre National de la Recherche Scientifique 7221, 75231 Paris cedex 5, France
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15
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Mooijaart SP, Sattar N, Trompet S, Lucke J, Stott DJ, Ford I, Jukema JW, Westendorp RGJ, de Craen AJM. Circulating interleukin-6 concentration and cognitive decline in old age: the PROSPER study. J Intern Med 2013; 274:77-85. [PMID: 23414490 DOI: 10.1111/joim.12052] [Citation(s) in RCA: 81] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
BACKGROUND Inflammation is involved in the pathogenesis of cardiovascular disease and cognitive decline. Interleukin-6 (IL-6) has a role in cardiovascular disease, but the association of IL-6 concentration and the functional IL-6 -174 polymorphism with cognitive decline has not been demonstrated unequivocally. The objective of this study was to investigate the associations between both high concentration of IL-6 and the -174 promoter polymorphism, and increased cognitive decline in old age. METHODS Over 5000 participants of the Prospective Study of Pravastatin in the Elderly at Risk (PROSPER) with a mean age of 75 years and a history of cardiovascular disease or its risk factors were included in this study. We determined baseline concentrations of IL-6 and genotype of the IL-6 -174 polymorphism, of which the C allele was previously shown to be associated with higher circulating concentrations of IL-6. A cognitive test battery was administered at baseline and repeatedly during follow-up (mean 39 months). RESULTS In the cross-sectional analysis of 5653 participants, higher IL-6 concentration was associated with worse executive cognitive function (P < 0.001), independent of cardiovascular disease status and risk factors. No association was found between IL-6 concentration and memory function (P > 0.14). In the prospective analysis, higher IL-6 concentration was associated with an increased rate of cognitive decline in both executive function (P = 0.002) and memory function (P = 0.002), again independent of cardiovascular disease status and risk factors. Although not associated with IL-6 concentrations, the IL-6 -174 CC genotype was associated with worse performance on the Stroop test (P = 0.045). CONCLUSIONS Higher circulating levels of IL-6 were associated with worse cognitive function and steeper cognitive decline and provide preliminary genetic evidence for a potential causal association. The findings support the importance of the need for further investigation of the IL-6 pathway in cognitive decline.
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Affiliation(s)
- S P Mooijaart
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands.
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16
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Bijlsma AY, Meskers CGM, Ling CHY, Narici M, Kurrle SE, Cameron ID, Westendorp RGJ, Maier AB. Defining sarcopenia: the impact of different diagnostic criteria on the prevalence of sarcopenia in a large middle aged cohort. Age (Dordr) 2013; 35:871-81. [PMID: 22314402 PMCID: PMC3636407 DOI: 10.1007/s11357-012-9384-z] [Citation(s) in RCA: 170] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2011] [Accepted: 01/19/2012] [Indexed: 05/04/2023]
Abstract
Sarcopenia, low muscle mass, is an increasing problem in our ageing society. The prevalence of sarcopenia varies extremely between elderly cohorts ranging from 7% to over 50%. Without consensus on the definition of sarcopenia, a variety of diagnostic criteria are being used. We assessed the degree of agreement between seven different diagnostic criteria for sarcopenia based on muscle mass and handgrip strength, described in literature. In this cross-sectional study, we included men (n=0325) and women (n=0329) with complete measurements of handgrip strength and body composition values as measured by bioimpedance analysis within the Leiden Longevity Study. Prevalence of sarcopenia was stratified by gender and age. In men (mean age 64.5 years), the prevalence of sarcopenia with the different diagnostic criteria ranged from 0% to 20.8% in the lowest age category (below 60 years), from 0%to 31.2% in the middle (60 to 69 years) and from 0% to 45.2% in the highest age category (above 70 years). In women (mean age 61.8 years), the prevalence of sarcopenia ranged from 0% to 15.6%, 0% to 21.8% and 0% to 25.8% in the lowest, middle and highest age category, respectively. Only one participant (0.2%) was identified having sarcopenia according to all diagnostic criteria that marked prevalence above 0%. We conclude that the prevalence of sarcopenia is highly dependent on the applied diagnostic criteria. It is necessary to reach a consensus on the definition of sarcopenia in order to make studies comparable and for implementation in clinical care.
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Affiliation(s)
- A. Y. Bijlsma
- Department of Gerontology and Geriatrics, C2-R-133, Leiden University Medical Centre, P.O. Box 9600, 2300 RC Leiden, The Netherlands
| | - C. G. M. Meskers
- Department of Rehabilitation Medicine, Leiden University Medical Centre, Leiden, The Netherlands
| | - C. H. Y. Ling
- Department of Gerontology and Geriatrics, C2-R-133, Leiden University Medical Centre, P.O. Box 9600, 2300 RC Leiden, The Netherlands
- Geriatric Department, Prince Charles Hospital, Brisbane, Australia
| | - M. Narici
- Institute for Biomedical Research into Human Movement and Health, Manchester Metropolitan University, Manchester, UK
| | - S. E. Kurrle
- Northern Clinical School, Faculty of Medicine, University of Sydney, Sydney, Australia
| | - I. D. Cameron
- Rehabilitation Studies Unit, Faculty of Medicine, University of Sydney, Sydney, Australia
| | - R. G. J. Westendorp
- Department of Gerontology and Geriatrics, C2-R-133, Leiden University Medical Centre, P.O. Box 9600, 2300 RC Leiden, The Netherlands
- Netherlands Consortium for Healthy Aging, Leiden University Medical Centre, Leiden, The Netherlands
| | - A. B. Maier
- Department of Gerontology and Geriatrics, C2-R-133, Leiden University Medical Centre, P.O. Box 9600, 2300 RC Leiden, The Netherlands
- Netherlands Consortium for Healthy Aging, Leiden University Medical Centre, Leiden, The Netherlands
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17
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Noordam R, Gunn DA, Tomlin CC, Maier AB, Griffiths T, Catt SD, Ogden S, Slagboom PE, Westendorp RGJ, Griffiths CEM, van Heemst D, de Craen AJM. Serum insulin-like growth factor 1 and facial ageing: high levels associate with reduced skin wrinkling in a cross-sectional study. Br J Dermatol 2013; 168:533-8. [PMID: 23363376 DOI: 10.1111/bjd.12131] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
BACKGROUND Insulin-like growth factor (IGF)-1 is a growth factor that can influence fibroblast functioning, with effects including the inhibition of collagenases and the induction of collagen expression. OBJECTIVES To assess whether serum IGF-1, IGF-binding protein (IGFBP)3 and the ratio between IGF-1 and IGFBP3, as a measure of IGF-1 bioavailability, are associated with facial ageing and skin wrinkling. METHODS From a random sample comprising 617 subjects from the Leiden Longevity Study, perceived age and skin wrinkling were assessed from facial photographs, and IGF-1 and IGFBP3 were measured in serum. The associations were assessed using linear regression models, adjusted for chronological age, sex, body mass index, smoking and sun exposure. RESULTS Across tertiles of the ratio of IGF-1 to IGFBP3, and after adjusting for all potential confounding factors, the mean perceived age decreased from 60·6 years in the lowest tertile to 59·5 years in the highest (P = 0·045). Similarly, the mean skin wrinkling grade decreased from 4·8 in the lowest tertile to 4·5 in the highest (P = 0·011). Adding skin wrinkling as a covariate in the analysis between IGF-1 and perceived age diminished this association. CONCLUSIONS This study demonstrates that a higher ratio of IGF-1 to IGFBP3 associates with a lower perceived age, via its association with reduced skin wrinkling. Whether high IGF-1 levels actually delay the accumulation of skin wrinkling now needs investigating.
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Affiliation(s)
- R Noordam
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands Unilever Discover, Colworth, Sharnbrook, Bedfordshire, UK
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18
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Zwiers R, Zantvoord FWA, Engelaer FM, van Bodegom D, van der Ouderaa FJG, Westendorp RGJ. Mortality in former Olympic athletes: retrospective cohort analysis. BMJ 2012; 345:e7456. [PMID: 23241269 PMCID: PMC3521875 DOI: 10.1136/bmj.e7456] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/14/2012] [Indexed: 11/04/2022]
Abstract
OBJECTIVE To assess the mortality risk in subsequent years (adjusted for year of birth, nationality, and sex) of former Olympic athletes from disciplines with different levels of exercise intensity. DESIGN Retrospective cohort study. SETTING Former Olympic athletes. PARTICIPANTS 9889 athletes (with a known age at death) who participated in the Olympic Games between 1896 and 1936, representing 43 types of disciplines with different levels of cardiovascular, static, and dynamic intensity exercise; high or low risk of bodily collision; and different levels of physical contact. MAIN OUTCOME MEASURE All cause mortality. RESULTS Hazard ratios for mortality among athletes from disciplines with moderate cardiovascular intensity (1.01, 95% confidence interval 0.96 to 1.07) or high cardiovascular intensity (0.98, 0.92 to 1.04) were similar to those in athletes from disciplines with low cardiovascular intensity. The underlying static and dynamic components in exercise intensity showed similar non-significant results. Increased mortality was seen among athletes from disciplines with a high risk of bodily collision (hazard ratio 1.11, 1.06 to 1.15) and with high levels of physical contact (1.16, 1.11 to 1.22). In a multivariate analysis, the effect of high cardiovascular intensity remained similar (hazard ratio 1.05, 0.89 to 1.25); the increased mortality associated with high physical contact persisted (hazard ratio 1.13, 1.06 to 1.21), but that for bodily collision became non-significant (1.03, 0.98 to 1.09) as a consequence of its close relation with physical contact. CONCLUSIONS Among former Olympic athletes, engagement in disciplines with high intensity exercise did not bring a survival benefit compared with disciplines with low intensity exercise. Those who engaged in disciplines with high levels of physical contact had higher mortality than other Olympians later in life.
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Affiliation(s)
- R Zwiers
- Leyden Academy on Vitality and Ageing, Rijnsburgerweg 10, 2333 AA Leiden, Netherlands
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19
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20
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van de Water W, Bastiaannet E, Dekkers OM, de Craen AJM, Westendorp RGJ, Voogd AC, van de Velde CJH, Liefers GJ. Adherence to treatment guidelines and survival in patients with early-stage breast cancer by age at diagnosis. Br J Surg 2012; 99:813-20. [PMID: 22492310 DOI: 10.1002/bjs.8743] [Citation(s) in RCA: 66] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/22/2012] [Indexed: 11/11/2022]
Abstract
Abstract
Background
Elderly patients with breast cancer are under-represented in clinical studies. It is not known whether treatment guidelines, based on clinical trials, can be extrapolated to this population. The aim of this study was to assess adherence to treatment guidelines by age at diagnosis, and to examine age-specific survival in relation to adherence to guidelines.
Methods
Patients with early-stage breast cancer aged either less than 65 years, or 75 years or more, diagnosed between 2005 and 2008, were identified from the Netherlands Cancer Registry. Adherence to treatment guidelines for breast and axillary surgery, radiotherapy, chemotherapy and endocrine therapy was determined. Non-adherence to the guidelines was defined as overtreatment or undertreatment. The primary endpoint was overall survival, assessed by means of an instrumental variable, the comprehensive cancer centre region.
Results
Some 24 959 patients younger than 65 years and 6561 patients aged 75 years or more were included in the analysis. Median follow-up was 2·8 years. Compared with patients younger than 65 years, those aged at least 75 years were less frequently treated in concordance with guidelines: 62·0 per cent (15 487 patients) versus 55·6 per cent (3647 patients) (P < 0·001). In both age groups, most patients received at least three of five treatment modalities in concordance with guidelines: 98·8 per cent (24 652 patients) and 93·8 per cent (6152 patients) respectively. Analysis of survival using the instrumental variable showed that adherence to guidelines was not associated with overall survival in patients younger than 65 years (P = 0·601) or those aged at least 75 years (P = 0·190).
Conclusion
Adherence to treatment guidelines was affected by age at diagnosis. However, adherence to the guidelines was not associated with overall survival in either age group.
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Affiliation(s)
- W van de Water
- Department of Surgical Oncology, Leiden University Medical Centre, Leiden, The Netherlands
- Department of Gerontology and Geriatrics, Leiden University Medical Centre, Leiden, The Netherlands
| | - E Bastiaannet
- Department of Surgical Oncology, Leiden University Medical Centre, Leiden, The Netherlands
- Department of Gerontology and Geriatrics, Leiden University Medical Centre, Leiden, The Netherlands
| | - O M Dekkers
- Department of Epidemiology, Leiden University Medical Centre, Leiden, The Netherlands
| | - A J M de Craen
- Department of Gerontology and Geriatrics, Leiden University Medical Centre, Leiden, The Netherlands
| | - R G J Westendorp
- Department of Gerontology and Geriatrics, Leiden University Medical Centre, Leiden, The Netherlands
| | - A C Voogd
- Department of Research, Eindhoven Cancer Registry, Eindhoven, The Netherlands
| | - C J H van de Velde
- Department of Surgical Oncology, Leiden University Medical Centre, Leiden, The Netherlands
| | - G J Liefers
- Department of Surgical Oncology, Leiden University Medical Centre, Leiden, The Netherlands
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21
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Wijsman CA, van Opstal AM, Kan HE, Maier AB, Westendorp RGJ, Slagboom PE, Webb AG, Mooijaart SP, van Heemst D. Proton magnetic resonance spectroscopy shows lower intramyocellular lipid accumulation in middle-aged subjects predisposed to familial longevity. Am J Physiol Endocrinol Metab 2012; 302:E344-8. [PMID: 22094471 DOI: 10.1152/ajpendo.00455.2011] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Families predisposed to longevity show enhanced glucose tolerance and skeletal muscle insulin sensitivity compared with controls, independent of body composition and physical activity. Intramyocellular lipid (IMCL) accumulation in skeletal muscle has been associated with insulin resistance. Here, we assessed whether subjects enriched for familial longevity have lower IMCL levels. We determined IMCL levels in 48 subjects from the Leiden Longevity Study, comprising 24 offspring of nonagenarian siblings and 24 partners thereof as control subjects. IMCL levels were assessed noninvasively using short echo time proton magnetic resonance spectroscopy ((1)H-MRS) of the tibialis anterior muscle with a 7 Tesla human MR scanner. IMCL levels were calculated relative to the total creatine (tCr) CH3 signal. Physical activity was assessed using the International Physical Activity Questionnaire (IPAQ). After correction for age, sex, BMI, and physical activity, offspring of long-lived nonagenarian siblings tended to show lower IMCL levels compared with controls (IMCL/tCr: 3.1 ± 0.5 vs. 4.5 ± 0.5, respectively, P = 0.051). In a pairwise comparison, this difference reached statistical significance (P = 0.038). We conclude that offspring of nonagenarian siblings predisposed to longevity show lower IMCL levels compared with environmentally matched control subjects. Future research should focus on assessing what mechanisms may explain the lower IMCL levels in familial longevity.
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Affiliation(s)
- C A Wijsman
- Department of Gerontology and Geriatrics, Leiden University Medical Center, The Netherlands
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Talens RP, Jukema JW, Trompet S, Kremer D, Westendorp RGJ, Lumey LH, Sattar N, Putter H, Slagboom PE, Heijmans BT. Hypermethylation at loci sensitive to the prenatal environment is associated with increased incidence of myocardial infarction. Int J Epidemiol 2011; 41:106-15. [PMID: 22101166 DOI: 10.1093/ije/dyr153] [Citation(s) in RCA: 55] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Human epidemiological studies suggest that small size at birth and food deprivation during gestation confer an excess risk of coronary heart diseases (CHD) in adulthood, frequently in a sex-specific manner. Prior epigenetic studies indicate that such prenatal conditions are marked by persistent and sometimes sex-specific changes in DNA methylation. Here, we have investigated the association between DNA methylation and myocardial infarction (MI) at six loci sensitive to prenatal nutrition, anticipating potential sex-specificity. Method Within the placebo group of the PROSPER trial on pravastatin and the risk of CHD, we compared all individuals who were event free at baseline and developed MI during 3 years' follow-up (n = 122) with a similar-sized control group. Methylation at IL10, LEP, ABCA1, IGF2, INS and GNASAS was measured in DNA extracted from leucocytes using mass spectrometry. RESULTS DNA methylation at GNASAS was modestly higher in MI cases compared with controls (P = 0.030). A significant sex interaction was observed for INS (P = 0.014) and GNASAS (P = 0.031). Higher DNA methylation at these loci was associated with MI among women (INS: +2.5%, P = 0.002; GNASAS: +4.2%, P = 0.001). Hypermethylation at one locus and at both loci was associated with odds ratios (ORs) of 2.8 and 8.6, respectively (P(trend) = 3.0 × 10(-4)). No association was observed among men. CONCLUSIONS The risk of MI in women is associated with DNA methylation marks at specific loci previously shown to be sensitive to prenatal conditions. This observation may reflect a developmental component of MI.
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Affiliation(s)
- Rudolf P Talens
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
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van Es ACGM, van der Grond J, de Craen AJM, Westendorp RGJ, Bollen ELEM, Blauw GJ, Greenberg SM, van Buchem MA. Cerebral microbleeds and cognitive functioning in the PROSPER study. Neurology 2011; 77:1446-52. [PMID: 21956727 DOI: 10.1212/wnl.0b013e318232ab1d] [Citation(s) in RCA: 50] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVES Cerebral microbleeds (MBs) are an important indicator of cerebral small-vessel disease, and their prevalence increases with increasing age. Little is known about the functional consequences of MBs in the aging population. In this study we investigated whether the presence and location of MBs are associated with cognition in the PROSPER study. METHODS For 439 subjects the number and location (cortico-subcortical, deep white matter, basal ganglia, and infratentorial) of the MBs was recorded. Difference in cognitive performance between subjects with and without MBs was calculated by entering the variables sex, age, white matter hyperintensity volume, infarction, and MBs in a linear mixed model. Differences in cognition between subjects with and without one or more MBs at different anatomic locations were assessed using the same model. RESULTS We found that after correction for sex, age, white matter hyperintensity volume, and infarction, subjects with infratentorial MBs had a significantly lower score on the Immediate Picture-Word Learning test, Delayed Picture-Word Learning, and Instrumental Activities of Daily Living. CONCLUSIONS Our data demonstrate that in elderly individuals at increased vascular risk, infratentorial MBs are associated with loss in cognitive functioning.
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Affiliation(s)
- A C G M van Es
- Department of Radiology, Section of Gerontology and Geriatrics, Leiden University Medical Centre, Leiden, the Netherlands.
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Martella F, Vermunt JK, Beekman M, Westendorp RGJ, Slagboom PE, Houwing-Duistermaat JJ. A mixture model with random-effects components for classifying sibling pairs. Stat Med 2011; 30:3252-64. [PMID: 21905068 DOI: 10.1002/sim.4365] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2010] [Accepted: 07/21/2011] [Indexed: 11/09/2022]
Abstract
In healthy aging research, typically multiple health outcomes are measured, representing health status. The aim of this paper was to develop a model-based clustering approach to identify homogeneous sibling pairs according to their health status. Model-based clustering approaches will be considered on the basis of linear mixed effect model for the mixture components. Class memberships of siblings within pairs are allowed to be correlated, and within a class the correlation between siblings is modeled using random sibling pair effects. We propose an expectation-maximization algorithm for maximum likelihood estimation. Model performance is evaluated via simulations in terms of estimating the correct parameters, degree of agreement, and the ability to detect the correct number of clusters. The performance of our model is compared with the performance of standard model-based clustering approaches. The methods are used to classify sibling pairs from the Leiden Longevity Study according to their health status. Our results suggest that homogeneous healthy sibling pairs are associated with a longer life span. Software is available for fitting the new models.
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Affiliation(s)
- F Martella
- Dipartimento di Scienze Statistiche, Facoltá di Ingegneria dell'Informazione, Informatica e Statistica, Sapienza Universitá di Roma, Rome, Italy.
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Koopman JJE, Rozing MP, Kramer A, de Jager DJ, Ansell D, De Meester JMJ, Prütz KG, Finne P, Heaf JG, Palsson R, Kramar R, Jager KJ, Dekker FW, Westendorp RGJ. Senescence rates in patients with end-stage renal disease: a critical appraisal of the Gompertz model. Aging Cell 2011; 10:233-8. [PMID: 21108732 DOI: 10.1111/j.1474-9726.2010.00659.x] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
The most frequently used model to describe the exponential increase in mortality rate over age is the Gompertz equation. Logarithmically transformed, the equation conforms to a straight line, of which the slope has been interpreted as the rate of senescence. Earlier, we proposed the derivative function of the Gompertz equation as a superior descriptor of senescence rate. Here, we tested both measures of the rate of senescence in a population of patients with end-stage renal disease. It is clinical dogma that patients on dialysis experience accelerated senescence, whereas those with a functional kidney transplant have mortality rates comparable to the general population. Therefore, we calculated the age-specific mortality rates for European patients on dialysis (n=274 221; follow-up=594 767 person-years), for European patients with a functioning kidney transplant (n=61 286; follow-up=345 024 person-years), and for the general European population. We found higher mortality rates, but a smaller slope of logarithmic mortality curve for patients on dialysis compared with both patients with a functioning kidney transplant and the general population (P<0.001). A classical interpretation of the Gompertz model would imply that the rate of senescence in patients on dialysis is lower than in patients with a functioning transplant and lower than in the general population. In contrast, the derivative function of the Gompertz equation yielded the highest senescence rates for patients on dialysis, whereas the rate was similar in patients with a functioning transplant and the general population. We conclude that the rate of senescence is better described by the derivative function of the Gompertz equation.
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Affiliation(s)
- J J E Koopman
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
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Slagboom PE, Beekman M, Passtoors WM, Deelen J, Vaarhorst AAM, Boer JM, van den Akker EB, van Heemst D, de Craen AJM, Maier AB, Rozing M, Mooijaart SP, Heijmans BT, Westendorp RGJ. Genomics of human longevity. Philos Trans R Soc Lond B Biol Sci 2011; 366:35-42. [PMID: 21115528 PMCID: PMC3001312 DOI: 10.1098/rstb.2010.0284] [Citation(s) in RCA: 60] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
In animal models, single-gene mutations in genes involved in insulin/IGF and target of rapamycin signalling pathways extend lifespan to a considerable extent. The genetic, genomic and epigenetic influences on human longevity are expected to be much more complex. Strikingly however, beneficial metabolic and cellular features of long-lived families resemble those in animals for whom the lifespan is extended by applying genetic manipulation and, especially, dietary restriction. Candidate gene studies in humans support the notion that human orthologues from longevity genes identified in lower species do contribute to longevity but that the influence of the genetic variants involved is small. Here we discuss how an integration of novel study designs, labour-intensive biobanking, deep phenotyping and genomic research may provide insights into the mechanisms that drive human longevity and healthy ageing, beyond the associations usually provided by molecular and genetic epidemiology. Although prospective studies of humans from the cradle to the grave have never been performed, it is feasible to extract life histories from different cohorts jointly covering the molecular changes that occur with age from early development all the way up to the age at death. By the integration of research in different study cohorts, and with research in animal models, biological research into human longevity is thus making considerable progress.
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Affiliation(s)
- P E Slagboom
- Section of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
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van Exel E, Eikelenboom P, Comijs HC, Kurniawan C, Frölich M, Smit JH, Stek ML, Scheltens P, Eefsting JE, Westendorp RGJ. [The immune system and Alzheimer's disease]. Tijdschr Psychiatr 2011; 53:637-643. [PMID: 21898320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
BACKGROUND It has still not been established unequivocally whether vascular risk factors and inflammatory reactions, determined by heredity, are a cause or a result of Alzheimer's disease AIM If the offspring of parents with AD have more risk factors and more frequent and severe inflammatory reactions than the offspring of parents without AD , this argues strongly in favor of a causal relationship between vascular risk factors, a pro-inflammatory cytokine response and AD. AIM To determine whether the offspring of parents with ad have more risk factors and more frequent and severe inflammatory reactions than the offspring of parents without ad. method Vascular risk-factors, pro-inflammatory cytokines and the apoe genotype were determined in 206 offspring of parents with ad and in 200 offspring of parents without AD. RESULTS Offspring of parents with ad carried more apoe epsilon4 than offspring of parents without ad (47% vs 21%). Middle-aged offspring of parents with a history of ad also had higher blood pressure and a greater atherosclerotic burden than the offspring of parents without AD. Also their response to the pro-inflammatory cytokine was significantly higher. CONCLUSION Hypertension and an inherited pro-inflammatory cytokine profile in middle age are early risk factors that contribute to the development of ad in old age. Offspring with a parental history of AD should therefore be offered screening and treatment for hypertension and have their blood pressure checked so that the development of AD in old age can be prevented.
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Taekema DG, Maier AB, Westendorp RGJ, Craen AJMD. Higher blood pressure is associated with higher handgrip strength in the oldest old. Am J Hypertens 2011; 24:83-9. [PMID: 20814409 DOI: 10.1038/ajh.2010.185] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Aging is associated with progressive loss of muscle strength. Muscle tissue is vascularized by an elaborate vascular network. There is evidence that blood pressure (BP) is associated with muscle function in middle age. It is unknown how BP associates with muscle function in oldest old people. We studied the association between BP and handgrip strength in middle and old age. METHOD BP was measured automatically in middle-aged subjects and with a mercury sphygmomanometer in the oldest old. Handgrip strength was measured with a handgrip strength dynamometer. Cross-sectional measurements of handgrip strength and BP were available for 670 middle-aged subjects (mean 63.2 ± 6.6 years) and 550 oldest old subjects (all 85 years). Prospective data were available for oldest old subjects only with a 4-year follow-up at 89 years. The association between BP and handgrip strength was analyzed by linear regression analysis. RESULTS In middle-aged subjects, BP and handgrip strength were not statistically significantly associated. In oldest old subjects, higher systolic BP (SBP), mean arterial pressure (MAP), and pulse pressure (PP) were associated with higher handgrip strength after adjusting for comorbidity and medication use (all P < 0.02). Furthermore, in oldest old subjects, changes in SBP, MAP, and PP after 4 years was associated with declining handgrip strength (all, P < 0.05). CONCLUSION In oldest old, higher BP is associated with better muscle strength. Further study is necessary to investigate whether BP is a potential modifiable risk factor for prevention of age-associated decline in muscle strength.
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Wijsman CA, Maier AB, de Craen AJM, van den Biggelaar AHJ, Westendorp RGJ. An Unopposed Proinflammatory Response Is Beneficial for Survival in the Oldest Old. Results of the Leiden 85-Plus Study. J Gerontol A Biol Sci Med Sci 2010; 66:393-9. [DOI: 10.1093/gerona/glq212] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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Bastiaannet E, de Craen AJM, Kuppen PJK, Aarts MJ, van der Geest LGM, van de Velde CJH, Westendorp RGJ, Liefers GJ. Socioeconomic differences in survival among breast cancer patients in the Netherlands not explained by tumor size. Breast Cancer Res Treat 2010; 127:721-7. [PMID: 21076863 DOI: 10.1007/s10549-010-1250-z] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2010] [Accepted: 10/27/2010] [Indexed: 11/24/2022]
Abstract
There seem to be socioeconomically differences in survival for females with breast cancer, usually associated with a higher stage of disease. However, differences within tumor size have not been studied. Aim of this study is to assess differences in survival according to socioeconomic status (SES), stratified for tumor size and stage at diagnosis, for females with breast cancer in the Netherlands. All females diagnosed with breast cancer (1995-2005) were selected from the Netherlands Cancer Registry. Patients were linked to a SES database according to postal code. A multivariable logistic regression was used to assess factors associated with SES. Overall survival (OS) and relative survival (RS) were calculated. Overall, 127,599 patients were included. Higher SES was associated with lower T-stage (P < 0.0001). A decreased survival (OS and RS) was found for patients with a lower SES. Also within different size groups, RS was different. Overall, 10-year OS for the high SES group was 65 and 58% for the low SES group (hazard ratio 1.1, P < 0.001) and RS was 79 versus 74% (relative excess risk, RER 1.2; P < 0.001). The socioeconomic differences remained statistically significant (P < 0.001) after adjustment for age, year of diagnosis, grade, TNM stage, and treatment. For the lowest SES group 777 deaths could be avoided. Socioeconomic differences in survival of breast cancer patients were observed in the Netherlands. Higher stage at diagnosis of patients with a lower SES only partly explains the decreased survival. Policies aimed at the reduction of socioeconomic health inequalities might be important to improve survival of breast cancer.
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Affiliation(s)
- E Bastiaannet
- Department of Surgery, Leiden University Medical Centre, PO Box 9600, 2300 RC Leiden, The Netherlands.
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Pons D, Trompet S, de Craen AJM, Thijssen PE, Quax PHA, de Vries MR, Wierda RJ, van den Elsen PJ, Monraats PS, Ewing MM, Heijmans BT, Slagboom PE, Zwinderman AH, Doevendans PAFM, Tio RA, de Winter RJ, de Maat MPM, Iakoubova OA, Sattar N, Shepherd J, Westendorp RGJ, Jukema JW. Genetic variation in PCAF, a key mediator in epigenetics, is associated with reduced vascular morbidity and mortality: evidence for a new concept from three independent prospective studies. Heart 2010; 97:143-50. [DOI: 10.1136/hrt.2010.199927] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
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Rozing MP, Houwing-Duistermaat JJ, Slagboom PE, Beekman M, Frölich M, de Craen AJM, Westendorp RGJ, van Heemst D. Familial longevity is associated with decreased thyroid function. J Clin Endocrinol Metab 2010; 95:4979-84. [PMID: 20739380 DOI: 10.1210/jc.2010-0875] [Citation(s) in RCA: 93] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
CONTEXT A relation between low thyroid activity and prolonged life span in humans has been observed. Several studies have demonstrated hereditary and genetic influences on thyroid function. OBJECTIVE The objective of the study was to test whether low thyroid activity associated with extreme longevity constitutes a heritable phenotype, which could contribute to the familial longevity observed in the Leiden Longevity Study. DESIGN This was a cross-sectional study. SETTING The study was conducted at a university hospital in the city of Leiden, The Netherlands. PARTICIPANTS Eight hundred fifty-nine nonagenarian siblings (median age 92.9 yr) from 421 long-lived families participated in the study. Families were recruited from the entire Dutch population if at least two long-lived siblings were alive and fulfilled the age criterion of age of 89 yr or older for males and 91 yr or older for females. There were no selection criteria on health or demographic characteristics. INTERVENTION Blood samples were taken for determination of serum parameters of thyroid function. MAIN OUTCOME MEASURE We calculated the family mortality history score of the parents of the nonagenarian siblings and related this to thyroid function parameters in the nonagenarian siblings. RESULTS We found that a lower family mortality history score (less mortality) of the parents of nonagenarian siblings was associated with higher serum TSH levels (P = 0.005) and lower free T(4) levels (P = 0.002) as well as lower free T(3) levels (P = 0.034) in the nonagenarian siblings. CONCLUSIONS Our findings support the previous observation that low thyroid activity in humans constitutes a heritable phenotype that contributes to exceptional familial longevity observed in the Leiden Longevity Study.
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Affiliation(s)
- M P Rozing
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
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den Elzen WPJ, Willems JM, Westendorp RGJ, de Craen AJM, Blauw GJ, Ferrucci L, Assendelft WJJ, Gussekloo J. Effect of erythropoietin levels on mortality in old age: the Leiden 85-plus Study. CMAJ 2010. [DOI: 10.1503/cmaj.100347] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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van Elderen SGC, de Roos A, de Craen AJM, Westendorp RGJ, Blauw GJ, Jukema JW, Bollen ELEM, Middelkoop HAM, van Buchem MA, van der Grond J. Progression of brain atrophy and cognitive decline in diabetes mellitus: a 3-year follow-up. Neurology 2010; 75:997-1002. [PMID: 20837967 DOI: 10.1212/wnl.0b013e3181f25f06] [Citation(s) in RCA: 141] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
OBJECTIVE To investigate progression of MRI-assessed manifestations of cerebral degeneration related to cognitive changes in a population of elderly patients with diabetes mellitus (DM) compared to age-matched control subjects. METHODS From a randomized controlled trial (PROSPER study), a study sample of 89 patients with DM and 438 control subjects without DM aged 70-82 years were included for brain MRI scanning and cognitive function testing at baseline and reexamination after 3 years. Changes in brain atrophy, white matter hyperintensities (WMHs), number of infarctions, and cognitive function test results were determined in patients with DM and subjects without DM. Linear regression analysis was performed with correction for age, gender, hypertension, pravastatin treatment, educational level, and baseline test results. In patients with DM, baseline MRI parameters were correlated with change in cognitive function test result using linear regression analysis with covariates age and gender. RESULTS Patients with DM showed increased progression of brain atrophy (p < 0.01) after follow-up compared to control subjects. No difference in progression of WMH volume or infarctions was found. Patients with DM showed increased decline in cognitive performance on Stroop Test (p = 0.04) and Picture Learning Test (p = 0.03). Furthermore, in patients with DM, change in Picture Learning Test was associated with baseline brain atrophy (p < 0.02). CONCLUSION Our data show that elderly patients with DM without dementia have accelerated progression of brain atrophy with significant consequences in cognition compared to subjects without DM. Our findings add further evidence to the hypothesis that diabetes exerts deleterious effects on neuronal integrity.
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Affiliation(s)
- S G C van Elderen
- Department of Radiology, Leiden University Medical Center, RC, Leiden, The Netherlands
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35
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Goekoop RJ, Kloppenburg M, Kroon HM, Dirkse LEV, Huizinga TWJ, Westendorp RGJ, Gussekloo J. Determinants of absence of osteoarthritis in old age. Scand J Rheumatol 2010; 40:68-73. [DOI: 10.3109/03009742.2010.500618] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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Goekoop RJ, Kloppenburg M, Kroon HM, Frölich M, Huizinga TWJ, Westendorp RGJ, Gussekloo J. Low innate production of interleukin-1beta and interleukin-6 is associated with the absence of osteoarthritis in old age. Osteoarthritis Cartilage 2010; 18:942-7. [PMID: 20417290 DOI: 10.1016/j.joca.2010.03.016] [Citation(s) in RCA: 49] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2009] [Revised: 02/28/2010] [Accepted: 03/19/2010] [Indexed: 02/02/2023]
Abstract
OBJECTIVE We investigated whether innate differences in cytokine response were associated with the absence of osteoarthritis (OA) in old age. DESIGN In 82 participants from a cross-sectional birth cohort, radiographs of hands, hips and knees were taken at the age of 90 years. OA was defined as a Kellgren-Lawrence score of at least two. "Free from OA" was defined at patient level as absence of hip and knee OA, and presence of OA in maximally two hand joints. The innate cytokine response was determined in whole-blood samples upon stimulation with lipopolysaccharide. Logistic regression analyses were used to investigate associations between absence of OA in relation to tertiles of interleukin (IL)-1beta, IL-6, tumor necrosis factor (TNF)-alpha, IL-1 receptor antagonist (RA) and IL-10. Adjustments were made for gender and body mass index. RESULTS Sixteen percent of the participants were "free from OA". Subjects in the lowest tertile of Il-1beta production had a 11-fold increased chance to be free of OA [odds ratio (OR) 11.3, confidence intervals (CI) 95% 1.1-115.9], subjects in the lowest tertile of IL-6 production had an almost 7-fold increased chance to be free of OA (OR 6.7, 95% CI 1.1-41.2). Absence of hand OA was associated with low innate production of IL-6 and IL-1RA, absence of hip OA was associated with low innate IL-1beta production. No associations were found for TNF-alpha and IL-10. CONCLUSIONS Low innate capacity to produce the pro-inflammatory cytokines IL-1beta and IL-6 is associated with the absence of OA in old age.
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Affiliation(s)
- R J Goekoop
- Department of Rheumatology, Leiden University Medical Center, Leiden, The Netherlands.
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Bastiaannet E, Liefers GJ, de Craen AJM, Kuppen PJK, van de Water W, Portielje JEA, van der Geest LGM, Janssen-Heijnen MLG, Dekkers OM, van de Velde CJH, Westendorp RGJ. Breast cancer in elderly compared to younger patients in the Netherlands: stage at diagnosis, treatment and survival in 127,805 unselected patients. Breast Cancer Res Treat 2010; 124:801-7. [PMID: 20428937 DOI: 10.1007/s10549-010-0898-8] [Citation(s) in RCA: 122] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2010] [Accepted: 04/12/2010] [Indexed: 10/19/2022]
Abstract
Breast cancer is the most common type of cancer in several parts of the world and the number of elderly patients is increasing. The aim of this study was to describe stage at diagnosis, treatment, and relative survival of elderly patients compared to younger patients in the Netherlands. Adult female patients with their first primary breast cancer diagnosed between 1995 and 2005 were selected. Stage, treatment, and relative survival were described for young and elderly (≥ 65 years) patients and within the cohort of elderly patients according to 5-year age groups. Overall, 127,805 patients were included. Elderly breast cancer patients were diagnosed with a higher stage of disease. Moreover, within the elderly differences in stage were observed. Elderly underwent less surgery (99.2-41.2%); elderly received hormonal treatment as monotherapy more frequently (0.8-47.3%); and less adjuvant systemic treatment (79-53%). Elderly breast cancer patients with breast cancer had a decreased relative survival. Although relative survival was lower in the elderly, the percentage of patients who die of their breast cancer less than 50% above age 75. In conclusion, the relative survival for the elderly is lower as compared to their younger counterparts while the percentage of deaths due to other causes increases with age. This could indicate that the patient selection is poor and fit patients could suffer from "under treatment". In the future, specific geriatric screening tools are necessary to identify fit elderly patients who could receive more "aggressive" treatment while best supportive care should be given to frail elderly patients.
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Affiliation(s)
- E Bastiaannet
- Department of Surgery, Leiden University Medical Centre, Leiden, RC, The Netherlands.
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van Es ACGM, van der Flier WM, Box FMA, Middelkoop HAM, Westendorp RGJ, van Buchem MA, van der Grond J. Carotid and basilar artery wall shear stress in Alzheimer's disease and mild cognitive impairment. Dement Geriatr Cogn Disord 2010; 28:220-4. [PMID: 19776573 DOI: 10.1159/000237740] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/16/2009] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND/AIMS Vascular pathology is increasingly seen as a factor contributing to the development of Alzheimer's disease (AD). With this in mind we hypothesized that this vascular pathology could be directly detected in the arteries contributing to the cerebral circulation of mild cognitive impairment (MCI) and AD patients by means of wall shear stress (WSS) measurements. METHODS In this study we investigated the mean wall shear stress (MWSS), diastolic wall shear stress (DWSS) and systolic wall shear stress (SWSS) in the carotid and basilar arteries of control subjects (mean age: 72; SD: 8.8), patients suffering from MCI (mean age: 76; SD: 6.7), and patients suffering from AD (mean age: 72; SD: 8.2) that were consecutively referred to our outpatient memory clinic using in-house developed software on gradient echo phase-contrast MRI sequences. RESULTS We found that all these parameters were significantly lower in the carotid arteries of patients suffering from AD or MCI when compared to control subjects. In the basilar artery only DWSS was lower in MCI or AD patients compared to control subjects. In none of the arteries a difference was found for any WSS parameter between MCI and AD patients. WSS parameters were significantly associated (corrected for age and sex) with the degree of cognitive impairment. CONCLUSION Increased vascular pathology, as expressed by lower WSS measures, was found in patients suffering from MCI and AD compared to normal controls. This might point to the involvement of vascular pathology in the development of AD.
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Affiliation(s)
- A C G M van Es
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
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de Craen AJM, Oleksik AM, Maier AB, Westendorp RGJ. [Causes of health and disease in old age: new insights from the Leiden Research Program on Ageing]. Tijdschr Gerontol Geriatr 2009; 40:237-243. [PMID: 20073272 DOI: 10.1007/bf03088517] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
The clinical research of the Department of Gerontology and Geriatrics of the Leiden University Medical Center focuses on the causes of health and disease in old age. We examine, amongst others, the genetic mechanisms of longevity by comparing children of long-living parents with their partners. At a mean age of 60 years, the children of the long-living parents have a lower prevalence of several cardiometabolic diseases, among which are myocardial infarction, diabetes, and hypertension. The children of the long-living parents also have a more favourable cardiometabolic risk profile, with lower values of glucose, insulin, triglycerides, and thyroid hormone, and a better insulin sensitivity. Moreover, over the past years we have shown that traditional cardiovascular risk factors, such as an increased cholesterol and hypertension, do not automatically apply to the very old. For the very old it must be taken into account that risk profiles for various diseases differ from those of younger populations. The choice of treatment must therefore be based on the 'best available evidence'. In absence of randomized clinical trials this is currently the knowledge on the pathofysiology of health and disease in old age.
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Affiliation(s)
- A J M de Craen
- Afdeling Ouderengeneeskunde, Leids Universitair Medisch Centrum, Leiden
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40
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van Vliet P, Westendorp RGJ, Eikelenboom P, Comijs HC, Frölich M, Bakker E, van der Flier W, van Exel E. Parental history of Alzheimer disease associated with lower plasma apolipoprotein E levels. Neurology 2009; 73:681-7. [PMID: 19720974 DOI: 10.1212/wnl.0b013e3181b59c2e] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND Variation in APOE genotype is a determinant of Alzheimer disease (AD), but the risk associated with variation in plasma apoE levels has yet to be determined. Here, we studied offspring with and without a parental history of AD to identify the effect of plasma apoE levels at middle age on the risk of late-onset AD. METHODS Some 203 offspring from 92 families with a parental history of AD were compared with 197 offspring from 97 families without a parental history of AD. APOE genotypes and plasma apoE levels were assessed in all offspring. Difference in plasma apoE level between subjects with and without a parental history of AD was calculated using robust linear regression, both stratified and adjusted for APOE genotype. RESULTS Offspring with a parental history of AD were more likely to be an APOE epsilon4 allele carrier (46% vs 21%, p < 0.001) than offspring without such a parental history. Mean plasma apoE levels strongly decreased from epsilon2 to epsilon3epsilon3 to epsilon4 carriers (p < 0.001). Offspring with a parental history of AD had lower plasma apoE levels than subjects without such a history, both in analyses adjusted for APOE genotype (difference: -0.21 mg/dL, p = 0.02) and when using standardized Z scores, when stratified for APOE genotype (difference: -0.22, p = 0.009). CONCLUSIONS Our findings suggest that lower plasma apoE levels in middle age could be a risk factor for Alzheimer disease in old age, independent of APOE genotype.
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Affiliation(s)
- P van Vliet
- Leiden University Medical Center, Department of Gerontology and Geriatrics (C2-R), PO Box 9600, 2300 RC, Leiden, The Netherlands.
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Brugts JJ, Yetgin T, Hoeks SE, Gotto AM, Shepherd J, Westendorp RGJ, de Craen AJM, Knopp RH, Nakamura H, Ridker P, van Domburg R, Deckers JW. The benefits of statins in people without established cardiovascular disease but with cardiovascular risk factors: meta-analysis of randomised controlled trials. BMJ 2009; 338:b2376. [PMID: 19567909 PMCID: PMC2714690 DOI: 10.1136/bmj.b2376] [Citation(s) in RCA: 572] [Impact Index Per Article: 38.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
OBJECTIVES To investigate whether statins reduce all cause mortality and major coronary and cerebrovascular events in people without established cardiovascular disease but with cardiovascular risk factors, and whether these effects are similar in men and women, in young and older (>65 years) people, and in people with diabetes mellitus. DESIGN Meta-analysis of randomised trials. DATA SOURCES Cochrane controlled trials register, Embase, and Medline. Data abstraction Two independent investigators identified studies on the clinical effects of statins compared with a placebo or control group and with follow-up of at least one year, at least 80% or more participants without established cardiovascular disease, and outcome data on mortality and major cardiovascular disease events. Heterogeneity was assessed using the Q and I(2) statistics. Publication bias was assessed by visual examination of funnel plots and the Egger regression test. RESULTS 10 trials enrolled a total of 70 388 people, of whom 23 681 (34%) were women and 16 078 (23%) had diabetes mellitus. Mean follow-up was 4.1 years. Treatment with statins significantly reduced the risk of all cause mortality (odds ratio 0.88, 95% confidence interval 0.81 to 0.96), major coronary events (0.70, 0.61 to 0.81), and major cerebrovascular events (0.81, 0.71 to 0.93). No evidence of an increased risk of cancer was observed. There was no significant heterogeneity of the treatment effect in clinical subgroups. CONCLUSION In patients without established cardiovascular disease but with cardiovascular risk factors, statin use was associated with significantly improved survival and large reductions in the risk of major cardiovascular events.
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Affiliation(s)
- J J Brugts
- Department of Cardiology, Erasmus MC Thoraxcenter, 3015 GD, Rotterdam, Netherlands.
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Meij JJ, van Bodegom D, Ziem JB, Amankwa J, Polderman AM, Kirkwood TBL, de Craen AJM, Zwaan BJ, Westendorp RGJ. Quality-quantity trade-off of human offspring under adverse environmental conditions. J Evol Biol 2009; 22:1014-23. [PMID: 19298492 DOI: 10.1111/j.1420-9101.2009.01713.x] [Citation(s) in RCA: 49] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
A central paradigm in life-history theory is the trade-off between offspring number and quality. Several studies have investigated this trade-off in humans, but data are inconclusive, perhaps because prosperous socio-cultural factors mask the trade-off. Therefore, we studied 2461 offspring groups in an area under adverse conditions in northern Ghana with high fertility and mortality rates. In a linear mixed model controlling for differences in age and tribe of the mother and socioeconomic status, each additional child in the offspring group resulted in a 2.3% (95% CI 1.9-2.6%, P < 0.001) lower proportional survival of the offspring. Furthermore, we made use of the polygamous population structure and compared offspring of co-wives in 388 households, thus controlling for variation in resources between compounds. Here, offspring survival decreased 2.8% (95% CI 2.3-4.0%, P < 0.001) for each increase in offspring number. We interpret these data as an apparent quality-quantity trade-off in human offspring.
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Affiliation(s)
- J J Meij
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
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Sattar N, Murray HM, Welsh P, Blauw GJ, Buckley BM, de Craen AJ, Ford I, Forouhi NG, Freeman DJ, Jukema JW, Macfarlane PW, Murphy MB, Packard CJ, Stott DJ, Westendorp RGJ, Shepherd J. Are elevated circulating intercellular adhesion molecule 1 levels more strongly predictive of diabetes than vascular risk? Outcome of a prospective study in the elderly. Diabetologia 2009; 52:235-9. [PMID: 19030842 DOI: 10.1007/s00125-008-1217-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2008] [Accepted: 10/28/2008] [Indexed: 11/29/2022]
Abstract
AIMS/HYPOTHESIS The aim of this prospective study was to determine whether circulating intercellular adhesion molecule (ICAM) 1, as a potential surrogate of 'endothelial activation', is more strongly associated with risk of vascular events than with incident diabetes. METHODS We related baseline ICAM-1 levels to vascular events (866 CHD and stroke events in 5,685 participants) and incident diabetes (292 in 4,945 without baseline diabetes) in the elderly over 3.2 years of follow-up. RESULTS ICAM-1 levels correlated positively with triacylglycerol but negatively with LDL- and HDL-cholesterol. ICAM-1 levels were higher in those who developed diabetes (388.6 +/- 1.42 vs 369.4 +/- 1.39 ng/ml [mean+/-SD], p = 0.011) and remained independently associated with new-onset diabetes (HR 1.84, 95% CI 1.26-2.69, p = 0.0015 per unit increase in log[ICAM-1] after adjusting for classical risk factors and C-reactive protein). By contrast, ICAM-1 levels were not significantly (p = 0.40) elevated in those who had an incident vascular event compared with those who remained event-free, and corresponding adjusted risk associations were null (HR 0.98, 95% CI 0.80-1.22, p = 0.89) in analyses adjusted for other risk factors. CONCLUSIONS/INTERPRETATION We show that elevated ICAM-1 levels are associated with risk of incident diabetes in the elderly at risk, despite no association with incident cardiovascular disease risk. We suggest that perturbations in circulating ICAM-1 levels are aligned more towards diabetes risk.
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Affiliation(s)
- N Sattar
- Faculty of Medicine, BHF Glasgow Cardiovascular Research Centre, University of Glasgow, University Place, Glasgow G12 8TA, UK.
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de Jong LW, van der Hiele K, Veer IM, Houwing JJ, Westendorp RGJ, Bollen ELEM, de Bruin PW, Middelkoop HAM, van Buchem MA, van der Grond J. Strongly reduced volumes of putamen and thalamus in Alzheimer's disease: an MRI study. Brain 2008; 131:3277-85. [PMID: 19022861 PMCID: PMC2639208 DOI: 10.1093/brain/awn278] [Citation(s) in RCA: 346] [Impact Index Per Article: 21.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
Atrophy is regarded a sensitive marker of neurodegenerative pathology. In addition to confirming the well-known presence of decreased global grey matter and hippocampal volumes in Alzheimer's disease, this study investigated whether deep grey matter structure also suffer degeneration in Alzheimer's disease, and whether such degeneration is associated with cognitive deterioration. In this cross-sectional correlation study, two groups were compared on volumes of seven subcortical regions: 70 memory complainers (MCs) and 69 subjects diagnosed with probable Alzheimer's disease. Using 3T 3D T1 MR images, volumes of nucleus accumbens, amygdala, caudate nucleus, hippocampus, pallidum, putamen and thalamus were automatically calculated by the FMRIB's Integrated Registration and Segmentation Tool (FIRST)--algorithm FMRIB's Software Library (FSL). Subsequently, the volumes of the different regions were correlated with cognitive test results. In addition to finding the expected association between hippocampal atrophy and cognitive decline in Alzheimer's disease, volumes of putamen and thalamus were significantly reduced in patients diagnosed with probable Alzheimer's disease. We also found that the decrease in volume correlated linearly with impaired global cognitive performance. These findings strongly suggest that, beside neo-cortical atrophy, deep grey matter structures in Alzheimer's disease suffer atrophy as well and that degenerative processes in the putamen and thalamus, like the hippocampus, may contribute to cognitive decline in Alzheimer's disease.
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Affiliation(s)
- L W de Jong
- Department of Radiology, University Medical Center, Leiden, The Netherlands.
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Euser SM, van Heemst D, van Vliet P, Breteler MMB, Westendorp RGJ. Insulin/Insulin-Like Growth Factor-1 Signaling and Cognitive Function in Humans. J Gerontol A Biol Sci Med Sci 2008; 63:907-10. [DOI: 10.1093/gerona/63.9.907] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Sliedrecht A, den Elzen WPJ, Verheij TJM, Westendorp RGJ, Gussekloo J. Incidence and predictive factors of lower respiratory tract infections among the very elderly in the general population. The Leiden 85-plus Study. Thorax 2008; 63:817-22. [DOI: 10.1136/thx.2007.093013] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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van Bemmel T, Holman ER, Gussekloo J, Blauw GJ, Bax JJ, Westendorp RGJ. Low blood pressure in the very old, a consequence of imminent heart failure: the Leiden 85-plus Study. J Hum Hypertens 2008; 23:27-32. [DOI: 10.1038/jhh.2008.79] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Maas DW, Westendorp RGJ, van der Mast RC. [Immune activation and depression in the elderly]. Ned Tijdschr Geneeskd 2008; 152:1413-1417. [PMID: 18624003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Abstract
Besides the monoamine hypothesis, the stress hypothesis and the vascular hypothesis, the inflammatory hypothesis might be an etiological explanation for late-life depression. There is a growing amount of evidence to support this hypothesis. In animal studies, injection with cytokines was shown to cause behavioural changes ('sickness behaviour') similar to depressive symptoms in humans. Cytokine treatment of certain tumours and chronic hepatitis can also cause depressive symptoms. The prevalence of depression in patients with autoimmune diseases is higher than in the general population. Etanercept had a favourable effect on the depressive symptoms in patients with psoriasis, independent of improvement of physical symptoms. Cytokines affect the hypothalamus-pituitary-adrenal axis and cerebral neurotransmitter systems, both of which are thought to be involved in depression. Immune activation has been associated with depression, and several anti-depressive treatments affect immune parameters, although inconsistently. Since the aging process is associated with a dysregulation of the immune system, the inflammation hypothesis might be particularly true in late-life depression.
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Affiliation(s)
- D W Maas
- Leids Universitair Medisch Centrum, afd. Psychiatrie, B1-P, Postbus 9600, 2300 RC Leiden.
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Trompet S, de Craen AJM, Slagboom P, Shepherd J, Blauw GJ, Murphy MB, Bollen ELEM, Buckley BM, Ford I, Gaw A, Macfarlane PW, Packard CJ, Stott DJ, Westendorp RGJ, Jukema JW. Lymphotoxin-alpha C804A polymorphism is a risk factor for stroke. The PROSPER study. Exp Gerontol 2008; 43:801-5. [PMID: 18504081 DOI: 10.1016/j.exger.2008.04.006] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2008] [Revised: 04/08/2008] [Accepted: 04/15/2008] [Indexed: 11/30/2022]
Abstract
Inflammation plays a prominent role in the development of atherosclerosis, which is the most important risk factor for vascular events. Lymphotoxin-alpha (LTA) is a pro-inflammatory cytokine and is found to be expressed in atherosclerotic lesions. We investigated the association between the C804A polymorphism within the LTA gene and coronary and cerebrovascular events in 5804 participants of the PROspective Study of Pravastatin in the Elderly at Risk (PROSPER). The primary endpoint was the combined endpoint of death from coronary heart disease, non-fatal myocardial infarction, and clinical stroke. Secondary endpoints were the coronary and cerebrovascular components separately. All associations were assessed with a Cox-proportional hazards model adjusted for sex, age, pravastatin use, and country. Our overall analysis showed a significant association between the C804A polymorphism and the primary endpoint (p = 0.03). After stratification for gender, this association was found only in males. Furthermore, we found that the association between the C804A polymorphism and the primary endpoint was mainly attributable to clinical strokes (p = 0.02). The C804A polymorphism in the LTA gene associates with clinical stroke, especially in men. But further research is warranted to confirm our results.
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Affiliation(s)
- S Trompet
- Department of Cardiology, Leiden University Medical Centre, Leiden, The Netherlands.
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van der Mast RC, Vinkers DJ, Stek ML, Bek MC, Westendorp RGJ, Gussekloo J, de Craen AJM. Vascular disease and apathy in old age. The Leiden 85-Plus Study. Int J Geriatr Psychiatry 2008; 23:266-71. [PMID: 17621380 DOI: 10.1002/gps.1872] [Citation(s) in RCA: 74] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Apathy is defined as an important loss of motivation in all domains of daily functioning. Especially in old age, apathy might be a specific neuropsychiatric syndrome separate from depression. There are indications that apathy in elderly subjects is related to vascular disease. OBJECTIVE To assess the relation between vascular disease and apathy in subjects aged 85 years and older. METHODS The Leiden 85-plus Study is a prospective, population-based study of 500 elderly subjects. Vascular disease including myocardial infarction, angina pectoris or myocardial ischemia, claudicatio intermittens, and arterial surgery was determined at baseline. Symptoms of apathy were assessed annually from age 85 through 90 years using the apathy questions of the 15-item Geriatric Depression Rating Scale (GDS). Diagnostic accuracy of the apathy questions was validated using the Apathy Scale at age 90 years. The association between vascular disease and apathy was estimated both at baseline and longitudinally. RESULTS The apathy items of the GDS showed a sensitivity of 69% and a specificity of 85%. At baseline, 69 subjects with apathy but free of depression had significantly more cardiovascular pathologies compared to 287 subjects without apathy. In the 287 subjects who were free of apathy and depression, increase of apathy but not depression during follow-up was significantly higher for each additional cardiovascular pathology at baseline. CONCLUSION In community dwelling elderly, those with vascular disease were at higher risk of developing apathy but not depression. This suggests that apathy and depression in old age have different etiologies.
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Affiliation(s)
- R C van der Mast
- Department of Psychiatry, Leiden University Medical Centre, Leiden, The Netherlands.
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