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Cantu CA, Myhand M, Hazime AA, Yedulla NR, Day CS. Patient-Reported Outcomes Can Serve as a Functional Substitute for Grip Strength. J Wrist Surg 2024; 13:427-431. [PMID: 39296649 PMCID: PMC11407837 DOI: 10.1055/s-0043-1772254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Accepted: 07/18/2023] [Indexed: 09/21/2024]
Abstract
Background Grip strength has traditionally been seen as an objective measurement of hand function, while the Patient-Reported Outcomes Measurement Information System Upper Extremity (PROMIS UE) has emerged recently as a common patient-reported outcome metric for similar purposes. The primary objective of this study was to determine if a correlation exists between grip strength, PROMIS UE, and Quick Disabilities of the Arm, Shoulder, and Hand (QuickDASH) scores in hand and upper extremity clinic patients. Methods PROMIS UE, Pain Interference (PI), and Depression (D), as well as QuickDASH were prospectively administered to patients from July 16 to September 3, 2020. A grip strength ratio (GSR), calculated by dividing the grip strength of the injured hand by that of the noninjured hand, was recorded for each individual to control for personal differences in grip strength. Data were analyzed using Spearman's correlation coefficients with the significance level at p < 0.05. Results Fifty patients participated in this study. The median GSR was 0.55. QuickDASH demonstrated strong correlations with both PROMIS UE and PI ( r (48) = -0.81, p < 0.05; r (48) = 0.86, p < 0.05). GSR correlated moderately with PROMIS UE ( r (48) = 0.63, p < 0.05). Finally, GSR and QuickDASH also exhibited moderate correlation with each other ( r (48) = -0.62, p < 0.05). Conclusion PROMIS UE and QuickDASH are shown to correlate moderately with GSR. This suggests the PROMIS UE forms as an effective measure of hand/wrist function in hand clinic patients and may be substituted for grip strength measurements.
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Affiliation(s)
- Cade A Cantu
- Central Michigan University College of Medicine, Mount Pleasant, Michigan
| | - Matthew Myhand
- Wayne State University School of Medicine, Detroit, Michigan
| | - Alaa A Hazime
- Department of Orthopedic Surgery, Henry Ford Health System, Detroit, Michigan
| | - Nikhil R Yedulla
- Department of Orthopedic Surgery, Henry Ford Health System, Detroit, Michigan
| | - Charles S Day
- Department of Orthopedic Surgery, Henry Ford Health System, Detroit, Michigan
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2
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Della-Morte D, Pacifici F, Simonetto M, Dong C, Dueker N, Blanton SH, Wang L, Rundek T. The role of sirtuins and uncoupling proteins on vascular aging: The Northern Manhattan Study experience. Free Radic Biol Med 2024; 220:262-270. [PMID: 38729451 DOI: 10.1016/j.freeradbiomed.2024.05.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2024] [Revised: 05/04/2024] [Accepted: 05/07/2024] [Indexed: 05/12/2024]
Abstract
Aging affects all organs. Arteries, in particular, are among the most affected. Vascular aging (VA) is defined as age-associated changes in function and structure of vessels. Classical VA phenotypes are carotid intima-media thickness (IMT), carotid plaque (CP), and arterial stiffness (STIFF). Individuals have different predisposition to these VA phenotypes and their associated risk of cardiovascular events. Some develop an early vascular aging (EVA), and others are protected and identified as having supernormal vascular aging (SUPERNOVA). The mechanisms leading to these phenotypes are not well understood. In the Northern Manhattan Study (NOMAS), we found genetic variants in the 7 Sirtuins (SIRT) and 5 Uncoupling Proteins (UCP) to be differently associated with risk to developing VA phenotypes. In this article, we review the results of genetic-epidemiology studies to better understand which of the single nucleotide polymorphisms (SNPs) in SIRT and UCP are responsible for both EVA and SUPERNOVA.
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Affiliation(s)
- David Della-Morte
- Department of Systems Medicine, School of Medicine, University of Rome Tor Vergata, 00133, Rome, Italy; Department of Neurology, The Evelyn McKnight Brain Institute, Miller School of Medicine, University of Miami, Miami, FL, 33136, USA; Department of Human Sciences and Quality of Life Promotion, San Raffaele Roma Open University, 00166, Rome, Italy.
| | - Francesca Pacifici
- Department of Systems Medicine, School of Medicine, University of Rome Tor Vergata, 00133, Rome, Italy; Department of Human Sciences and Quality of Life Promotion, San Raffaele Roma Open University, 00166, Rome, Italy
| | - Marialaura Simonetto
- Department of Neurology, Weill Cornell Medical College, New York Presbyterian Hospital, New York, NY, 10021, USA
| | - Chuanhui Dong
- Department of Neurology, The Evelyn McKnight Brain Institute, Miller School of Medicine, University of Miami, Miami, FL, 33136, USA
| | - Nicole Dueker
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA; Dr. John T. Macdonald, Department of Human Genetics, University of Miami, Miami, FL, 33136, USA
| | - Susan H Blanton
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA; Dr. John T. Macdonald, Department of Human Genetics, University of Miami, Miami, FL, 33136, USA
| | - Liyong Wang
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA; Dr. John T. Macdonald, Department of Human Genetics, University of Miami, Miami, FL, 33136, USA
| | - Tatjana Rundek
- Department of Neurology, The Evelyn McKnight Brain Institute, Miller School of Medicine, University of Miami, Miami, FL, 33136, USA
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Toda-Oti KS, Stefano JT, Cavaleiro AM, Carrilho FJ, Correa-Gianella ML, Oliveira CPMDSD. Association of UCP3 Polymorphisms with Nonalcoholic Steatohepatitis and Metabolic Syndrome in Nonalcoholic Fatty Liver Disease Brazilian Patients. Metab Syndr Relat Disord 2022; 20:114-123. [PMID: 35020496 DOI: 10.1089/met.2020.0104] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Background: We investigated the possible association of uncoupling protein 3 gene (UCP3) single nucleotide polymorphisms (SNPs) with nonalcoholic steatohepatitis (NASH) and metabolic syndrome (MetS) in nonalcoholic fatty liver disease (NAFLD) Brazilian patients. Methods: UCP3 SNPs rs1726745, rs3781907, and rs11235972 were genotyped in 158 biopsy-proven NAFLD Brazilian patients. Statistics was performed with JMP, R, and SHEsis softwares. Results: The TT genotype of rs1726745 was associated with less occurrence of MetS (P = 0.006) and with lower body mass index (BMI) in the entire NAFLD sample (P = 0.01) and in the NASH group (P = 0.02). The rs1726745-T was associated with lower values of AST (P = 0.001), ALT (P = 0.0002), triglycerides (P = 0.01), and total cholesterol (P = 0.02) in the entire NAFLD sample. Between groups, there were lower values of aminotransferases strictly in individuals with NASH (AST, P = 0.002; ALT, P = 0.0007) and with MetS (AST, P = 0.002; ALT, P = 0.001). The rs3781907-G was associated with lower GGT elevation values in the entire NAFLD sample (P = 0.002), in the NASH group (P = 0.004), and with MetS group (P = 0.003) and with protection for advanced fibrosis (P = 0.01). The rs11235972-A was associated with lower GGT values in the entire NAFLD sample (P = 0.006) and in the NASH group (P = 0.01) and with MetS group (P = 0.005), with fibrosis absence (P = 0.01) and protection for advanced fibrosis (P = 0.01). The TAA haplotype was protective for NASH (P = 0.002), and TGG haplotype was protective for MetS (P = 0.01). Conclusion: UCP3 gene variants were associated with protection against NASH and MetS, in addition to lower values of liver enzymes, lipid profile, BMI and, lesser fibrosis severity in the studied population.
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Affiliation(s)
- Karla Sawada Toda-Oti
- Departamento de Gastroenterologia, Faculdade de Medicina da, Universidade de São Paulo, São Paulo, Brazil
| | - José Tadeu Stefano
- Laboratório de Gastroenterologia Clínica e Experimental (LIM-07), Departamento de Gastroenterologia e Hepatologia, Faculdade de Medicina, Hospital das Clínicas HC-FMUSP, Universidade de São Paulo, São Paulo, Brazil
| | - Ana Mercedes Cavaleiro
- Laboratório de Carboidratos e Radioimunensaio (LIM-18), Hospital das Clínicas HC-FMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Flair José Carrilho
- Departamento de Gastroenterologia, Faculdade de Medicina da, Universidade de São Paulo, São Paulo, Brazil.,Laboratório de Gastroenterologia Clínica e Experimental (LIM-07), Departamento de Gastroenterologia e Hepatologia, Faculdade de Medicina, Hospital das Clínicas HC-FMUSP, Universidade de São Paulo, São Paulo, Brazil
| | - Maria Lúcia Correa-Gianella
- Laboratório de Carboidratos e Radioimunensaio (LIM-18), Hospital das Clínicas HC-FMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.,Programa de Pós-graduação em Medicina, Universidade Nove de Julho (UNINOVE), São Paulo, Brazil
| | - Cláudia Pinto Marques de Souza de Oliveira
- Departamento de Gastroenterologia, Faculdade de Medicina da, Universidade de São Paulo, São Paulo, Brazil.,Laboratório de Gastroenterologia Clínica e Experimental (LIM-07), Departamento de Gastroenterologia e Hepatologia, Faculdade de Medicina, Hospital das Clínicas HC-FMUSP, Universidade de São Paulo, São Paulo, Brazil
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Altered miRNA and mRNA Expression in Sika Deer Skeletal Muscle with Age. Genes (Basel) 2020; 11:genes11020172. [PMID: 32041309 PMCID: PMC7073773 DOI: 10.3390/genes11020172] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Revised: 02/03/2020] [Accepted: 02/04/2020] [Indexed: 12/18/2022] Open
Abstract
Studies of the gene and miRNA expression profiles associated with the postnatal late growth, development, and aging of skeletal muscle are lacking in sika deer. To understand the molecular mechanisms of the growth and development of sika deer skeletal muscle, we used de novo RNA sequencing (RNA-seq) and microRNA sequencing (miRNA-seq) analyses to determine the differentially expressed (DE) unigenes and miRNAs from skeletal muscle tissues at 1, 3, 5, and 10 years in sika deer. A total of 51,716 unigenes, 171 known miRNAs, and 60 novel miRNAs were identified based on four mRNA and small RNA libraries. A total of 2,044 unigenes and 11 miRNAs were differentially expressed between adolescence and juvenile sika deer, 1,946 unigenes and 4 miRNAs were differentially expressed between adult and adolescent sika deer, and 2,209 unigenes and 1 miRNAs were differentially expressed between aged and adult sika deer. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses showed that DE unigenes and miRNA were mainly related to energy and substance metabolism, processes that are closely associate with the growth, development, and aging of skeletal muscle. We also constructed mRNA–mRNA and miRNA–mRNA interaction networks related to the growth, development, and aging of skeletal muscle. The results show that mRNA (Myh1, Myh2, Myh7, ACTN3, etc.) and miRNAs (miR-133a, miR-133c, miR-192, miR-151-3p, etc.) may play important roles in muscle growth and development, and mRNA (WWP1, DEK, UCP3, FUS, etc.) and miRNAs (miR-17-5p, miR-378b, miR-199a-5p, miR-7, etc.) may have key roles in muscle aging. In this study, we determined the dynamic miRNA and unigenes transcriptome in muscle tissue for the first time in sika deer. The age-dependent miRNAs and unigenes identified will offer insights into the molecular mechanism underlying muscle development, growth, and maintenance and will also provide valuable information for sika deer genetic breeding.
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Halaweh H. Correlation between Health-Related Quality of Life and Hand Grip Strength among Older Adults. Exp Aging Res 2020; 46:178-191. [PMID: 31928183 DOI: 10.1080/0361073x.2020.1716157] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Background: With advanced age, the progressive loss of muscle strength estimated by the handgrip strength (HGS) may result in a poorer health-related quality of life (HRQoL). Studying this association becomes a vital area of research for promoting aging-well. The aim of this study was to examine the correlation between HRQoL and HGS among community-dwelling older adults above 60 years old.Methods: Participants comprised of 176 older adults (mean age: 68.15 ± 6.74). The HGS was tested with Jamar® Dynamometer, and the EuroQuol-5 Dimensions 5Levels (EQ-5D-5L) questionnaire was used to assess HRQoL.Results: Both HGS and HRQoL were negatively correlated with age (p < .001). Lower values of HGS and HRQoL were recorded among older adults who had diagnosed with one or more chronic diseases (p < .001). Significant correlations were recorded between HGS and functioning, and subjective well-being domains of EQ-5D-5L. A relatively higher association was recorded between the functioning variables of EQ-5D-5L and HGS compared to subjective well- being variables.Conclusion: Handgrip strength is a simple and practical measure in identifying older adults at risk of physical decline. Maintaining handgrip strength may contribute to improving HRQoL, and can add an imperative dimension to promote aging-well in older adults ≥60 years old.
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Affiliation(s)
- Hadeel Halaweh
- Department of Physiotherapy & Rehabilitation, Faculty of Health Professions, Al-Quds University, East Jerusalem, State of Palestine.,Department of Health and Rehabilitation, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
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Pratt J, Boreham C, Ennis S, Ryan AW, De Vito G. Genetic Associations with Aging Muscle: A Systematic Review. Cells 2019; 9:E12. [PMID: 31861518 PMCID: PMC7016601 DOI: 10.3390/cells9010012] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Revised: 12/17/2019] [Accepted: 12/18/2019] [Indexed: 12/24/2022] Open
Abstract
The age-related decline in skeletal muscle mass, strength and function known as 'sarcopenia' is associated with multiple adverse health outcomes, including cardiovascular disease, stroke, functional disability and mortality. While skeletal muscle properties are known to be highly heritable, evidence regarding the specific genes underpinning this heritability is currently inconclusive. This review aimed to identify genetic variants known to be associated with muscle phenotypes relevant to sarcopenia. PubMed, Embase and Web of Science were systematically searched (from January 2004 to March 2019) using pre-defined search terms such as "aging", "sarcopenia", "skeletal muscle", "muscle strength" and "genetic association". Candidate gene association studies and genome wide association studies that examined the genetic association with muscle phenotypes in non-institutionalised adults aged ≥50 years were included. Fifty-four studies were included in the final analysis. Twenty-six genes and 88 DNA polymorphisms were analysed across the 54 studies. The ACTN3, ACE and VDR genes were the most frequently studied, although the IGF1/IGFBP3, TNFα, APOE, CNTF/R and UCP2/3 genes were also shown to be significantly associated with muscle phenotypes in two or more studies. Ten DNA polymorphisms (rs154410, rs2228570, rs1800169, rs3093059, rs1800629, rs1815739, rs1799752, rs7412, rs429358 and 192 bp allele) were significantly associated with muscle phenotypes in two or more studies. Through the identification of key gene variants, this review furthers the elucidation of genetic associations with muscle phenotypes associated with sarcopenia.
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Affiliation(s)
- Jedd Pratt
- Institute for Sport and Health, University College Dublin, Dublin, Ireland; (C.B.); (G.D.V.)
- Genomics Medicine Ireland, Dublin, Ireland; (S.E.); (A.W.R.)
| | - Colin Boreham
- Institute for Sport and Health, University College Dublin, Dublin, Ireland; (C.B.); (G.D.V.)
| | - Sean Ennis
- Genomics Medicine Ireland, Dublin, Ireland; (S.E.); (A.W.R.)
- UCD ACoRD, Academic Centre on Rare Diseases, University College Dublin, Dublin, Ireland
| | - Anthony W. Ryan
- Genomics Medicine Ireland, Dublin, Ireland; (S.E.); (A.W.R.)
| | - Giuseppe De Vito
- Institute for Sport and Health, University College Dublin, Dublin, Ireland; (C.B.); (G.D.V.)
- Department of Biomedical Sciences, University of Padova, Via F. Marzolo 3, 35131 Padova, Italy
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7
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Musalek C, Kirchengast S. Grip Strength as an Indicator of Health-Related Quality of Life in Old Age-A Pilot Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2017; 14:ijerph14121447. [PMID: 29186762 PMCID: PMC5750866 DOI: 10.3390/ijerph14121447] [Citation(s) in RCA: 68] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/11/2017] [Revised: 11/21/2017] [Accepted: 11/22/2017] [Indexed: 01/08/2023]
Abstract
Over the last century life expectancy has increased dramatically nearly all over the world. This dramatic absolute and relative increase of the old aged people component of the population has influenced not only population structure but also has dramatic implications for the individuals and public health services. The aim of the present pilot study was to examine the impact of physical well-being assessed by hand grip strength and social factors estimated by social contact frequency on health-related quality of life among 22 men and 41 women ranging in age between 60 and 94 years. Physical well-being was estimated by hand grip strength, data concerning subjective wellbeing and health related quality of life were collected by personal interviews based on the WHOQOL-BREF questionnaires. Number of offspring and intergenerational contacts were not related significantly to health-related quality of life, while social contacts with non-relatives and hand grip strength in contrast had a significant positive impact on health related quality of life among old aged men and women. Physical well-being and in particular muscle strength—estimated by grip strength—may increase health-related quality of life and is therefore an important source for well-being during old age. Grip strength may be used as an indicator of health-related quality of life.
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8
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Willems SM, Wright DJ, Day FR, Trajanoska K, Joshi PK, Morris JA, Matteini AM, Garton FC, Grarup N, Oskolkov N, Thalamuthu A, Mangino M, Liu J, Demirkan A, Lek M, Xu L, Wang G, Oldmeadow C, Gaulton KJ, Lotta LA, Miyamoto-Mikami E, Rivas MA, White T, Loh PR, Aadahl M, Amin N, Attia JR, Austin K, Benyamin B, Brage S, Cheng YC, Cięszczyk P, Derave W, Eriksson KF, Eynon N, Linneberg A, Lucia A, Massidda M, Mitchell BD, Miyachi M, Murakami H, Padmanabhan S, Pandey A, Papadimitriou I, Rajpal DK, Sale C, Schnurr TM, Sessa F, Shrine N, Tobin MD, Varley I, Wain LV, Wray NR, Lindgren CM, MacArthur DG, Waterworth DM, McCarthy MI, Pedersen O, Khaw KT, Kiel DP, Pitsiladis Y, Fuku N, Franks PW, North KN, van Duijn CM, Mather KA, Hansen T, Hansson O, Spector T, Murabito JM, Richards JB, Rivadeneira F, Langenberg C, Perry JRB, Wareham NJ, Scott RA. Large-scale GWAS identifies multiple loci for hand grip strength providing biological insights into muscular fitness. Nat Commun 2017; 8:16015. [PMID: 29313844 PMCID: PMC5510175 DOI: 10.1038/ncomms16015] [Citation(s) in RCA: 122] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2017] [Accepted: 05/22/2017] [Indexed: 02/02/2023] Open
Abstract
Hand grip strength is a widely used proxy of muscular fitness, a marker of frailty, and predictor of a range of morbidities and all-cause mortality. To investigate the genetic determinants of variation in grip strength, we perform a large-scale genetic discovery analysis in a combined sample of 195,180 individuals and identify 16 loci associated with grip strength (P<5 × 10-8) in combined analyses. A number of these loci contain genes implicated in structure and function of skeletal muscle fibres (ACTG1), neuronal maintenance and signal transduction (PEX14, TGFA, SYT1), or monogenic syndromes with involvement of psychomotor impairment (PEX14, LRPPRC and KANSL1). Mendelian randomization analyses are consistent with a causal effect of higher genetically predicted grip strength on lower fracture risk. In conclusion, our findings provide new biological insight into the mechanistic underpinnings of grip strength and the causal role of muscular strength in age-related morbidities and mortality.
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Affiliation(s)
- Sara M. Willems
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, UK
| | - Daniel J. Wright
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, UK
| | - Felix R. Day
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, UK
| | - Katerina Trajanoska
- Department of Internal Medicine, Erasmus Medical Center, 3015 CE Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, 3015 CE Rotterdam, The Netherlands
| | - Peter K. Joshi
- Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh EH8 9AB, UK
| | - John A. Morris
- Centre for Clinical Epidemiology, Lady Davis Institute for Medical Research, Jewish General Hospital, McGill University, Montreal, Quebec, Canada QC H3T 1E2
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada H3G 0B1
| | - Amy M. Matteini
- Division of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA
| | - Fleur C. Garton
- Queensland Brain Institute, University of Queensland, St Lucia, Queensland 4072, Australia
| | - Niels Grarup
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Nikolay Oskolkov
- Lund University Diabetes Center, Department of Clinical Sciences, Diabetes and Endocrinology, Skånes University Hospital, 222 41 Lund, Sweden
| | - Anbupalam Thalamuthu
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, New South Wales 2031, Australia
| | - Massimo Mangino
- Department of Twin Research & Genetic Epidemiology, Kings College London, London SE1 7EH, UK
- NIHR Biomedical Research Centre at Guy’s and St. Thomas’ NHS Foundation Trust, London SE1 9RT, UK
| | - Jun Liu
- Department of Epidemiology, Erasmus Medical Center, 3015 CE Rotterdam, The Netherlands
| | - Ayse Demirkan
- Department of Epidemiology, Erasmus Medical Center, 3015 CE Rotterdam, The Netherlands
- Department of Human Genetics, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - Monkol Lek
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Maryland 02114, USA
- Harvard Medical School, Boston, Maryland 02115, USA
| | - Liwen Xu
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Maryland 02114, USA
- Harvard Medical School, Boston, Maryland 02115, USA
| | - Guan Wang
- Centre for Sport and Exercise Science and Medicine (SESAME), University of Brighton, Eastbourne BN20 7SN, UK
| | | | - Kyle J. Gaulton
- Department of Pediatrics, University of California San Diego, La Jolla, California 92093, USA
| | - Luca A. Lotta
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, UK
| | - Eri Miyamoto-Mikami
- Japan Society for the Promotion of Science, Tokyo 102-0083, Japan
- Department of Sports and Life Science, National Institute of Fitness and Sports, Kanoya, Kagoshima 891-2393, Japan
| | - Manuel A. Rivas
- Department of Biomedical Data Sciences, Stanford University, Stanford, California 94305, USA
- BROAD Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts 02142, USA
| | - Tom White
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, UK
| | - Po-Ru Loh
- BROAD Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts 02142, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02115, USA
| | - Mette Aadahl
- Research Centre for Prevention and Health, Capital Region of Denmark, Glostrup University Hospital, DK-2600 Glostrup, Denmark
| | - Najaf Amin
- Department of Epidemiology, Erasmus Medical Center, 3015 CE Rotterdam, The Netherlands
| | - John R. Attia
- Hunter Medical Research Institute, Newcastle, New South Wales 2305, Australia
- Faculty of Health and Medicine, University of Newcastle, Newcastle, New South Wales 2308, Australia
- John Hunter Hospital, New Lambton, New South Wales 2305, Australia
| | - Krista Austin
- Centre for Sport and Exercise Science and Medicine (SESAME), University of Brighton, Eastbourne BN20 7SN, UK
| | - Beben Benyamin
- Queensland Brain Institute, University of Queensland, St Lucia, Queensland 4072, Australia
- Institute for Molecular Bioscience, University of Queensland, St Lucia, Queensland 4072, Australia
| | - Søren Brage
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, UK
| | - Yu-Ching Cheng
- Division of Endocrinology Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA
| | - Paweł Cięszczyk
- Faculty of Physical Education, Gdańsk University of Physical Education and Sport, 80-336 Gdańsk, Poland
| | - Wim Derave
- Department of Movement and Sports Sciences, Ghent University, 9000 Ghent, Belgium
| | - Karl-Fredrik Eriksson
- Lund University Diabetes Center, Department of Clinical Sciences, Diabetes and Endocrinology, Skånes University Hospital, 222 41 Lund, Sweden
| | - Nir Eynon
- Institute of Sport, Exercise & Active Living (ISEAL), Victoria University, Melbourne, Victoria 8001, Australia
- Murdoch Children’s Research Institute, Royal Children’s Hospital, Melbourne, Victoria 3052, Australia
| | - Allan Linneberg
- Research Centre for Prevention and Health, Capital Region of Denmark, Glostrup University Hospital, DK-2600 Glostrup, Denmark
- Department of Clinical Experimental Research, Rigshospitalet, 2600 Glostrup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, DK-2200 Copenhagen, Denmark
| | - Alejandro Lucia
- Universidad Europea de Madrid, 28670 Villaviciosa de Odón, Madrid, Spain
- Research Institute ‘i+12’, Hospital Universitario 12 de Octubre, 28041 Madrid, Spain
| | - Myosotis Massidda
- Department of Life and Environmental Sciences, University of Cagliari, 09124 Cagliari, Italy
| | - Braxton D. Mitchell
- Division of Endocrinology Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA
- Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, Maryland 21201, USA
| | - Motohiko Miyachi
- National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo 162-8636, Japan
| | - Haruka Murakami
- National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo 162-8636, Japan
| | - Sandosh Padmanabhan
- British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, UK
| | - Ashutosh Pandey
- Target Sciences, GlaxoSmithKline, King of Prussia, Pennsylvania 19406, USA
| | - Ioannis Papadimitriou
- Institute of Sport, Exercise & Active Living (ISEAL), Victoria University, Melbourne, Victoria 8001, Australia
| | - Deepak K. Rajpal
- Target Sciences, GlaxoSmithKline, King of Prussia, Pennsylvania 19406, USA
| | - Craig Sale
- Musculoskeletal Physiology Research Group, Sport, Health and Performance Enhancement (SHAPE) Research Centre, Nottingham Trent University, Nottingham NG1 4FQ, UK
| | - Theresia M. Schnurr
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Francesco Sessa
- Department of Clinical and Experimental Medicine, Medical Genetics, University of Foggia, 71122 Foggia FG, Italy
| | - Nick Shrine
- Department of Health Sciences, University of Leicester, Leicester LE1 7RH, UK
- National Institute for Health Research, Leicester Respiratory Biomedical Research Unit, Glenfield Hospital, Leicester LE3 9QP, UK
| | - Martin D. Tobin
- Department of Health Sciences, University of Leicester, Leicester LE1 7RH, UK
- National Institute for Health Research, Leicester Respiratory Biomedical Research Unit, Glenfield Hospital, Leicester LE3 9QP, UK
| | - Ian Varley
- Musculoskeletal Physiology Research Group, Sport, Health and Performance Enhancement (SHAPE) Research Centre, Nottingham Trent University, Nottingham NG1 4FQ, UK
| | - Louise V. Wain
- Department of Health Sciences, University of Leicester, Leicester LE1 7RH, UK
- National Institute for Health Research, Leicester Respiratory Biomedical Research Unit, Glenfield Hospital, Leicester LE3 9QP, UK
| | - Naomi R. Wray
- Queensland Brain Institute, University of Queensland, St Lucia, Queensland 4072, Australia
- Institute for Molecular Bioscience, University of Queensland, St Lucia, Queensland 4072, Australia
| | - Cecilia M. Lindgren
- BROAD Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts 02142, USA
- The Big Data Institute, University of Oxford, Oxford OX3 7BN, UK
- Wellcome Trust Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7BN, UK
| | - Daniel G. MacArthur
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Maryland 02114, USA
- BROAD Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts 02142, USA
| | - Dawn M. Waterworth
- Target Sciences, GlaxoSmithKline, King of Prussia, Pennsylvania 19406, USA
| | - Mark I. McCarthy
- Wellcome Trust Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7BN, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford OX3 7LE, UK
- NIHR Oxford Biomedical Research Centre, Oxford OX3 7LE, UK
| | - Oluf Pedersen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, University of Cambridge, Cambridge CB2 0SR, UK
| | - Douglas P. Kiel
- Harvard Medical School, Boston, Maryland 02115, USA
- Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts 02131, USA
- Department of Medicine, Beth Israel Deaconess Medical Centre, Boston, Massachusetts 02215, USA
| | - Yannis Pitsiladis
- Centre for Sport and Exercise Science and Medicine (SESAME), University of Brighton, Eastbourne BN20 7SN, UK
| | - Noriyuki Fuku
- Graduate School of Health and Sports Science, Juntendo University, Chiba 270-1695, Japan
| | - Paul W. Franks
- Genetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Skånes University Hospital, 222 41 Lund, Sweden
- Public Health and Clinical Medicine, Section for Medicine, Umeå University, 901 87 Umeå, Sweden
- Biobank Research, Umeå University, 901 87 Umeå, Sweden
| | - Kathryn N. North
- Murdoch Children’s Research Institute, Royal Children’s Hospital, Melbourne, Victoria 3052, Australia
| | - Cornelia M. van Duijn
- Department of Epidemiology, Erasmus Medical Center, 3015 CE Rotterdam, The Netherlands
| | - Karen A. Mather
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, New South Wales 2031, Australia
| | - Torben Hansen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
- Faculty of Health Sciences, University of Southern Denmark, 5230 Odense M, Denmark
| | - Ola Hansson
- Lund University Diabetes Center, Department of Clinical Sciences, Diabetes and Endocrinology, Skånes University Hospital, 222 41 Lund, Sweden
| | - Tim Spector
- Department of Twin Research & Genetic Epidemiology, Kings College London, London SE1 7EH, UK
| | - Joanne M. Murabito
- Boston University School of Medicine, Department of Medicine, Section of General Internal Medicine, Boston, Massachusetts 02118, USA
- National Heart Lung and Blood Institute’s and Boston University’s Framingham Heart Study, Framingham, Massachusetts 01702, USA
| | - J. Brent Richards
- Centre for Clinical Epidemiology, Lady Davis Institute for Medical Research, Jewish General Hospital, McGill University, Montreal, Quebec, Canada QC H3T 1E2
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada H3G 0B1
- Department of Twin Research & Genetic Epidemiology, Kings College London, London SE1 7EH, UK
- Department of Medicine, McGill University, Montreal, Quebec, Canada H3G 1A4
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus Medical Center, 3015 CE Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, 3015 CE Rotterdam, The Netherlands
| | - Claudia Langenberg
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, UK
| | - John R. B. Perry
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, UK
| | - Nick J. Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, UK
| | - Robert A. Scott
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, UK
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9
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Mitochondria and mitochondria-induced signalling molecules as longevity determinants. Mech Ageing Dev 2017; 165:115-128. [DOI: 10.1016/j.mad.2016.12.002] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2016] [Revised: 11/28/2016] [Accepted: 12/07/2016] [Indexed: 12/21/2022]
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10
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Dato S, De Rango F, Crocco P, Passarino G, Rose G. Pleiotropic effects of UCP2–UCP3 variability on leucocyte telomere length and glucose homeostasis. Biogerontology 2017; 18:347-355. [DOI: 10.1007/s10522-017-9690-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2016] [Accepted: 03/06/2017] [Indexed: 01/06/2023]
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11
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Bozsodi A, Boja S, Szilagyi A, Somhegyi A, Varga PP, Lazary A. Muscle strength is associated with vitamin D receptor gene variants. J Orthop Res 2016; 34:2031-2037. [PMID: 26932507 DOI: 10.1002/jor.23220] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2015] [Accepted: 02/24/2016] [Indexed: 02/04/2023]
Abstract
Vitamin D receptor (VDR) is an important candidate gene in muscle function. Scientific reports on the effect of its genetic variants on muscle strength are contradictory likely due to the inconsistent study designs. Hand grip strength (HGS) is a highly heritable phenotype of muscle strength but only limited studies are available on its genetic background. Association between VDR polymorphisms and HGS has been poorly investigated and previous reports are conflicting. We studied the effect of VDR gene variants on HGS in a sample of 706 schoolchildren. Genomic DNA was extracted from saliva samples and six candidate single nucleotide polymorphisms (SNPs) across the VDR gene were genotyped with Sequenom MassARRAY technique. HGS was measured with a digital dynamometer in both hands. Single marker and haplotype associations were adjusted for demographic parameters. Three SNPs, rs4516035 (A1012G; p = 0.009), rs1544410 (BsmI; p = 0.010), and rs731236 (TaqI; p = 0.038) and a 3' UTR haploblock constructed by three SNPs (Bsml-Taq1-rs10783215; p < 0.005) showed significantly associations with HGS of the dominant hand. In the non-dominant hand, the effects of the A1012G (p = 0.034) and the 3' UTR haploblock (p < 0.01) on HGS were also significant. Since the promoter SNP (A10112G) and the 3' UTR haplotype were proved to be associated with the expression and the stability of the VDR mRNA in earlier studies, VDR variants can be supposed to have a direct effect on muscle strength. The individual genetic patterns can also explain the inconsistency of the previously published clinical results on the association between vitamin D and muscle function. © 2016 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 34:2031-2037, 2016.
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Affiliation(s)
- Arpad Bozsodi
- National Center for Spinal Disorders, Buda Health Center, Budapest, Hungary.,School of Ph.D Studies, Semmelweis University, Budapest, Hungary
| | - Sara Boja
- National Center for Spinal Disorders, Buda Health Center, Budapest, Hungary
| | - Agnes Szilagyi
- National Center for Spinal Disorders, Buda Health Center, Budapest, Hungary
| | - Annamaria Somhegyi
- National Center for Spinal Disorders, Buda Health Center, Budapest, Hungary
| | - Peter Pal Varga
- National Center for Spinal Disorders, Buda Health Center, Budapest, Hungary
| | - Aron Lazary
- National Center for Spinal Disorders, Buda Health Center, Budapest, Hungary
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12
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Matteini AM, Tanaka T, Karasik D, Atzmon G, Chou W, Eicher JD, Johnson AD, Arnold AM, Callisaya ML, Davies G, Evans DS, Holtfreter B, Lohman K, Lunetta KL, Mangino M, Smith AV, Smith JA, Teumer A, Yu L, Arking DE, Buchman AS, Chibinik LB, De Jager PL, Evans DA, Faul JD, Garcia ME, Gillham‐Nasenya I, Gudnason V, Hofman A, Hsu Y, Ittermann T, Lahousse L, Liewald DC, Liu Y, Lopez L, Rivadeneira F, Rotter JI, Siggeirsdottir K, Starr JM, Thomson R, Tranah GJ, Uitterlinden AG, Völker U, Völzke H, Weir DR, Yaffe K, Zhao W, Zhuang WV, Zmuda JM, Bennett DA, Cummings SR, Deary IJ, Ferrucci L, Harris TB, Kardia SLR, Kocher T, Kritchevsky SB, Psaty BM, Seshadri S, Spector TD, Srikanth VK, Windham BG, Zillikens MC, Newman AB, Walston JD, Kiel DP, Murabito JM. GWAS analysis of handgrip and lower body strength in older adults in the CHARGE consortium. Aging Cell 2016; 15:792-800. [PMID: 27325353 PMCID: PMC5013019 DOI: 10.1111/acel.12468] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/22/2016] [Indexed: 12/12/2022] Open
Abstract
Decline in muscle strength with aging is an important predictor of health trajectory in the elderly. Several factors, including genetics, are proposed contributors to variability in muscle strength. To identify genetic contributors to muscle strength, a meta-analysis of genomewide association studies of handgrip was conducted. Grip strength was measured using a handheld dynamometer in 27 581 individuals of European descent over 65 years of age from 14 cohort studies. Genomewide association analysis was conducted on ~2.7 million imputed and genotyped variants (SNPs). Replication of the most significant findings was conducted using data from 6393 individuals from three cohorts. GWAS of lower body strength was also characterized in a subset of cohorts. Two genomewide significant (P-value< 5 × 10(-8) ) and 39 suggestive (P-value< 5 × 10(-5) ) associations were observed from meta-analysis of the discovery cohorts. After meta-analysis with replication cohorts, genomewide significant association was observed for rs752045 on chromosome 8 (β = 0.47, SE = 0.08, P-value = 5.20 × 10(-10) ). This SNP is mapped to an intergenic region and is located within an accessible chromatin region (DNase hypersensitivity site) in skeletal muscle myotubes differentiated from the human skeletal muscle myoblasts cell line. This locus alters a binding motif of the CCAAT/enhancer-binding protein-β (CEBPB) that is implicated in muscle repair mechanisms. GWAS of lower body strength did not yield significant results. A common genetic variant in a chromosomal region that regulates myotube differentiation and muscle repair may contribute to variability in grip strength in the elderly. Further studies are needed to uncover the mechanisms that link this genetic variant with muscle strength.
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Affiliation(s)
- Amy M. Matteini
- Division of Geriatric Medicine and GerontologyJohns Hopkins University School of MedicineBaltimoreMDUSA
| | - Toshiko Tanaka
- Longitudinal Studies SectionTranslational Gerontology BranchGerontology Research CenterNational Institute on AgingBaltimoreMDUSA
| | - David Karasik
- Institute for Aging ResearchHebrew SeniorLifeDepartment of MedicineBeth Israel Deaconess Medical Center and Harvard Medical SchoolBostonMAUSA,Faculty of Medicine in the GalileeBar‐Ilan UniversitySafed13010Israel
| | - Gil Atzmon
- Institute for Aging Research Departments of Medicine and GeneticsAlbert Einstein College of Medicine1300 Morris Park AvenueBronxNYUSA,Department of Human BiologyUniversity of HaifaHaifaIsrael
| | - Wen‐Chi Chou
- Institute for Aging ResearchHebrew SeniorLifeDepartment of MedicineBeth Israel Deaconess Medical Center and Harvard Medical SchoolBostonMAUSA
| | - John D. Eicher
- National Heart, Lung and Blood InstitutePopulation Sciences BranchBethesdaMDUSA,National Heart, Lung and Blood Institute's The Framingham Heart StudyFraminghamMAUSA
| | - Andrew D. Johnson
- National Heart, Lung and Blood InstitutePopulation Sciences BranchBethesdaMDUSA,National Heart, Lung and Blood Institute's The Framingham Heart StudyFraminghamMAUSA
| | - Alice M. Arnold
- Department of BiostatisticsUniversity of WashingtonSeattleWAUSA
| | - Michele L. Callisaya
- Stroke and Ageing Research GroupDepartment of MedicineSchool of Clinical SciencesMonash UniversityClaytonVic.Australia,Menzies Institute for Medical ResearchUniversity of TasmaniaHobartTas.Australia
| | - Gail Davies
- Centre for Cognitive Ageing and Cognitive EpidemiologyUniversity of EdinburghEdinburghUK,Department of PsychologyUniversity of EdinburghEdinburghUK
| | - Daniel S. Evans
- California Pacific Medical Center Research InstituteSan FranciscoCAUSA
| | - Birte Holtfreter
- Unit of PeriodontologyDepartment of Restorative Dentistry, Periodontology and EndodontologyCentre of Oral HealthUniversity Medicine GreifswaldGreifswaldGermany
| | - Kurt Lohman
- Center for Human GeneticsDivision of Public Health SciencesWake Forest School of MedicineWinston‐SalemNCUSA
| | - Kathryn L. Lunetta
- National Heart, Lung and Blood Institute's The Framingham Heart StudyFraminghamMAUSA,Department of BiostatisticsBoston University School of Public HealthBostonMAUSA
| | - Massimo Mangino
- Department of Twin Research and Genetic EpidemiologyKing's College LondonLondonUK,NIHR Biomedical Research Centre at Guy's and St. Thomas’ Foundation TrustLondonUK
| | | | | | - Alexander Teumer
- Institute for Community MedicineUniversity Medicine GreifswaldGreifswaldGermany
| | - Lei Yu
- Rush Alzheimer's Disease CenterRush University Medical CenterChicagoILUSA
| | - Dan E. Arking
- McKusick‐Nathans Institute of Genetic MedicineJohns Hopkins University School of MedicineBaltimoreMDUSA
| | - Aron S. Buchman
- Rush Alzheimer's Disease CenterRush University Medical CenterChicagoILUSA,Department of Neurological SciencesRush University Medical CenterChicagoILUSA
| | - Lori B. Chibinik
- Program in Translational NeuroPsychiatric GenomicsDepartment of NeurologyBrigham and Women's HospitalBostonMAUSA,Program in Medical and Population GeneticsBroad InstituteCambridgeMAUSA
| | - Philip L. De Jager
- Program in Translational NeuroPsychiatric GenomicsDepartment of NeurologyBrigham and Women's HospitalBostonMAUSA,Program in Medical and Population GeneticsBroad InstituteCambridgeMAUSA
| | - Denis A. Evans
- Institute of Healthy Aging and Department of Internal MedicineRush University Medical CenterChicagoILUSA
| | - Jessica D. Faul
- Survey Research CenterInstitute for Social ResearchUniversity of MichiganAnn ArborMIUSA
| | - Melissa E. Garcia
- Laboratory of Epidemiology and Population ScienceNational Institute on AgingBethesdaMDUSA
| | | | - Vilmundur Gudnason
- Icelandic Heart AssociationKopavogurIceland,University of IcelandReykjavikIceland
| | - Albert Hofman
- Department of EpidemiologyErasmus Medical CenterRotterdamthe Netherlands
| | - Yi‐Hsiang Hsu
- Institute for Aging ResearchHebrew SeniorLifeDepartment of MedicineBeth Israel Deaconess Medical Center and Harvard Medical SchoolBostonMAUSA,Department of Medicine, Molecular and Integrative Physiological SciencesHarvard School of Public HealthBostonMAUSA
| | - Till Ittermann
- Institute for Community MedicineUniversity Medicine GreifswaldGreifswaldGermany
| | - Lies Lahousse
- Department of EpidemiologyErasmus Medical CenterRotterdamthe Netherlands,Department of Respiratory MedicineGhent University and Ghent University HospitalGhentBelgium
| | - David C. Liewald
- Centre for Cognitive Ageing and Cognitive EpidemiologyUniversity of EdinburghEdinburghUK
| | - Yongmei Liu
- Center for Human GeneticsDivision of Public Health SciencesWake Forest School of MedicineWinston‐SalemNCUSA
| | - Lorna Lopez
- Department of PsychologyUniversity of EdinburghEdinburghUK
| | - Fernando Rivadeneira
- Department of EpidemiologyErasmus Medical CenterRotterdamthe Netherlands,Department of Internal MedicineErasmus Medical CenterRotterdamthe Netherlands,Netherlands Genomics Initiative (NGI)‐sponsored Netherlands Consortium for Healthy Aging (NCHA)Rotterdamthe Netherlands
| | - Jerome I. Rotter
- Division of Genomic Outcome, Departments of Pediatrics and MedicineInstitute for Translational Genomics and Population SciencesLos Angeles Biomedical Research Institute at Harbor‐UCLA Medical CenterUniversity of California Los AngelesLos AngelesCAUSA
| | | | - John M. Starr
- Centre for Cognitive Ageing and Cognitive EpidemiologyUniversity of EdinburghEdinburghUK,Alzheimer Scotland Dementia Research CentreUniversity of EdinburghEdinburghUK
| | - Russell Thomson
- Menzies Institute for Medical ResearchUniversity of TasmaniaHobartTas.Australia
| | - Gregory J. Tranah
- California Pacific Medical Center Research InstituteSan FranciscoCAUSA
| | - André G. Uitterlinden
- Department of EpidemiologyErasmus Medical CenterRotterdamthe Netherlands,Department of Internal MedicineErasmus Medical CenterRotterdamthe Netherlands,Netherlands Genomics Initiative (NGI)‐sponsored Netherlands Consortium for Healthy Aging (NCHA)Rotterdamthe Netherlands
| | - Uwe Völker
- Interfaculty Institute for Genetics and Functional GenomicsUniversity Medicine GreifswaldGreifswaldGermany
| | - Henry Völzke
- Institute for Community MedicineUniversity Medicine GreifswaldGreifswaldGermany,German Center for Cardiovascular Research (DZHK)GreifswaldGermany,German Center for Diabetes Research (DZD)GreifswaldGermany
| | - David R. Weir
- Survey Research CenterInstitute for Social ResearchUniversity of MichiganAnn ArborMIUSA
| | - Kristine Yaffe
- Departments of Neurology, Psychiatry and Epidemiology & BiostatisticsUniversity of California, San Francisco and the San Francisco Veterans Affairs Medical CenterSan FranciscoCAUSA
| | - Wei Zhao
- Department of EpidemiologyUniversity of MichiganAnn ArborMIUSA
| | - Wei Vivian Zhuang
- Public Health ProgramCenter for Health Policy and EthicsCreighton University School of MedicineOmahaNEUSA
| | - Joseph M. Zmuda
- Department of EpidemiologyUniversity of PittsburghPittsburghPAUSA
| | - David A. Bennett
- Rush Alzheimer's Disease CenterRush University Medical CenterChicagoILUSA
| | | | - Ian J. Deary
- Centre for Cognitive Ageing and Cognitive EpidemiologyUniversity of EdinburghEdinburghUK,Department of PsychologyUniversity of EdinburghEdinburghUK
| | - Luigi Ferrucci
- Longitudinal Studies SectionTranslational Gerontology BranchGerontology Research CenterNational Institute on AgingBaltimoreMDUSA
| | - Tamara B. Harris
- Laboratory of Epidemiology and Population ScienceNIABethesdaMDUSA
| | | | - Thomas Kocher
- Unit of PeriodontologyDepartment of Restorative Dentistry, Periodontology and EndodontologyCentre of Oral HealthUniversity Medicine GreifswaldGreifswaldGermany
| | | | - Bruce M. Psaty
- Cardiovascular Health Research Unit and Department of MedicineUniversity of Washington and Group Health Research InstituteGroup Health CooperativeSeattleWAUSA
| | - Sudha Seshadri
- National Heart, Lung and Blood Institute's The Framingham Heart StudyFraminghamMAUSA,Department of NeurologyBoston University School of MedicineBostonMAUSA
| | - Timothy D. Spector
- Department of Twin Research and Genetic EpidemiologyKing's College LondonLondonUK
| | - Velandai K. Srikanth
- Stroke and Ageing Research GroupDepartment of MedicineSchool of Clinical SciencesMonash UniversityClaytonVic.Australia,Menzies Institute for Medical ResearchUniversity of TasmaniaHobartTas.Australia
| | - B. Gwen Windham
- Department of Medicine/Division of GeriatricsUniversity of Mississippi Medical CenterJacksonMSUSA
| | - M. Carola Zillikens
- Department of Internal MedicineErasmus Medical CenterRotterdamthe Netherlands
| | - Anne B. Newman
- Department of EpidemiologyUniversity of PittsburghPittsburghPAUSA
| | - Jeremy D. Walston
- Division of Geriatric Medicine and GerontologyJohns Hopkins University School of MedicineBaltimoreMDUSA
| | - Douglas P. Kiel
- Institute for Aging ResearchHebrew SeniorLifeDepartment of MedicineBeth Israel Deaconess Medical Center and Harvard Medical SchoolBostonMAUSA
| | - Joanne M. Murabito
- National Heart, Lung and Blood Institute's The Framingham Heart StudyFraminghamMAUSA,Department of MedicineBoston University School of MedicineBostonMAUSA
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13
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Kim S, Myers L, Ravussin E, Cherry KE, Jazwinski SM. Single nucleotide polymorphisms linked to mitochondrial uncoupling protein genes UCP2 and UCP3 affect mitochondrial metabolism and healthy aging in female nonagenarians. Biogerontology 2016; 17:725-36. [PMID: 26965008 DOI: 10.1007/s10522-016-9643-y] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2016] [Accepted: 03/03/2016] [Indexed: 12/22/2022]
Abstract
Energy expenditure decreases with age, but in the oldest-old, energy demand for maintenance of body functions increases with declining health. Uncoupling proteins have profound impact on mitochondrial metabolic processes; therefore, we focused attention on mitochondrial uncoupling protein genes. Alongside resting metabolic rate (RMR), two SNPs in the promoter region of UCP2 were associated with healthy aging. These SNPs mark potential binding sites for several transcription factors; thus, they may affect expression of the gene. A third SNP in the 3'-UTR of UCP3 interacted with RMR. This UCP3 SNP is known to impact UCP3 expression in tissue culture cells, and it has been associated with body weight and mitochondrial energy metabolism. The significant main effects of the UCP2 SNPs and the interaction effect of the UCP3 SNP were also observed after controlling for fat-free mass (FFM) and physical-activity related energy consumption. The association of UCP2/3 with healthy aging was not found in males. Thus, our study provides evidence that the genetic risk factors for healthy aging differ in males and females, as expected from the differences in the phenotypes associated with healthy aging between the two sexes. It also has implications for how mitochondrial function changes during aging.
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Affiliation(s)
- Sangkyu Kim
- Tulane Center for Aging and Department of Medicine, Tulane University Health Sciences Center, 1430 Tulane Ave, SL-12, New Orleans, LA, 70112, USA.
| | - Leann Myers
- Department of Biostatistics and Bioinformatics, School of Public Health and Tropical Medicine, Tulane University Health Sciences Center, New Orleans, LA, USA
| | - Eric Ravussin
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Katie E Cherry
- Department of Psychology, Louisiana State University, Baton Rouge, LA, USA
| | - S Michal Jazwinski
- Tulane Center for Aging and Department of Medicine, Tulane University Health Sciences Center, 1430 Tulane Ave, SL-12, New Orleans, LA, 70112, USA
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14
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Chan JPL, Thalamuthu A, Oldmeadow C, Armstrong NJ, Holliday EG, McEvoy M, Kwok JB, Assareh AA, Peel R, Hancock SJ, Reppermund S, Menant J, Trollor JN, Brodaty H, Schofield PR, Attia JR, Sachdev PS, Scott RJ, Mather KA. Genetics of hand grip strength in mid to late life. AGE (DORDRECHT, NETHERLANDS) 2015; 37:9745. [PMID: 25637336 PMCID: PMC4312310 DOI: 10.1007/s11357-015-9745-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2014] [Accepted: 01/12/2015] [Indexed: 06/04/2023]
Abstract
Hand grip strength (GS) is a predictor of mortality in older adults and is moderately to highly heritable, but no genetic variants have been consistently identified. We aimed to identify single nucleotide polymorphisms (SNPs) associated with GS in middle-aged to older adults using a genome-wide association study (GWAS). GS was measured using handheld dynamometry in community-dwelling men and women aged 55-85 from the Hunter Community Study (HCS, N = 2088) and the Sydney Memory and Ageing Study (Sydney MAS, N = 541). Genotyping was undertaken using Affymetrix microarrays with imputation to HapMap2. Analyses were performed using linear regression. No genome-wide significant results were observed in HCS nor were any of the top signals replicated in Sydney MAS. Gene-based analyses in HCS identified two significant genes (ZNF295, C2CD2), but these results were not replicated in Sydney MAS. One out of eight SNPs previously associated with GS, rs550942, located near the CNTF gene, was significantly associated with GS (p = 0.005) in the HCS cohort only. Study differences may explain the lack of consistent results between the studies, including the smaller sample size of the Sydney MAS cohort. Our modest sample size also had limited power to identify variants of small effect. Our results suggest that similar to various other complex traits, many genetic variants of small effect size may influence GS. Future GWAS using larger samples and consistent measures may prove more fruitful at identifying genetic contributors for GS in middle-aged to older adults.
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Affiliation(s)
- Jessica P. L. Chan
- />Centre for Healthy Brain Ageing, Psychiatry, University of New South Wales (UNSW), NPI, Euroa Centre, Barker St, Randwick, Sydney, NSW 2031 Australia
| | - Anbupalam Thalamuthu
- />Centre for Healthy Brain Ageing, Psychiatry, University of New South Wales (UNSW), NPI, Euroa Centre, Barker St, Randwick, Sydney, NSW 2031 Australia
| | | | - Nicola J. Armstrong
- />Centre for Healthy Brain Ageing, Psychiatry, University of New South Wales (UNSW), NPI, Euroa Centre, Barker St, Randwick, Sydney, NSW 2031 Australia
- />School of Mathematics and Statistics, University of Sydney, Sydney, Australia
| | - Elizabeth G. Holliday
- />Public Health Program, Hunter Medical Research Institute, Newcastle, Australia
- />Centre for Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales Australia
| | - Mark McEvoy
- />Public Health Program, Hunter Medical Research Institute, Newcastle, Australia
- />Centre for Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales Australia
| | - John B. Kwok
- />Neuroscience Research Australia, Sydney, Australia
- />School of Medical Sciences, UNSW, Sydney, Australia
| | - Amelia A. Assareh
- />Centre for Healthy Brain Ageing, Psychiatry, University of New South Wales (UNSW), NPI, Euroa Centre, Barker St, Randwick, Sydney, NSW 2031 Australia
| | - Rosanne Peel
- />Centre for Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales Australia
| | - Stephen J. Hancock
- />Centre for Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales Australia
| | - Simone Reppermund
- />Centre for Healthy Brain Ageing, Psychiatry, University of New South Wales (UNSW), NPI, Euroa Centre, Barker St, Randwick, Sydney, NSW 2031 Australia
| | | | - Julian N. Trollor
- />Department of Developmental Disability Neuropsychiatry, UNSW, Sydney, Australia
| | - Henry Brodaty
- />Centre for Healthy Brain Ageing, Psychiatry, University of New South Wales (UNSW), NPI, Euroa Centre, Barker St, Randwick, Sydney, NSW 2031 Australia
- />Primary Dementia Collaborative Research Centre, UNSW, Sydney, Australia
| | - Peter R. Schofield
- />Neuroscience Research Australia, Sydney, Australia
- />School of Medical Sciences, UNSW, Sydney, Australia
| | - John R. Attia
- />Public Health Program, Hunter Medical Research Institute, Newcastle, Australia
- />Centre for Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales Australia
| | - Perminder S. Sachdev
- />Centre for Healthy Brain Ageing, Psychiatry, University of New South Wales (UNSW), NPI, Euroa Centre, Barker St, Randwick, Sydney, NSW 2031 Australia
- />Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, Australia
| | - Rodney J. Scott
- />School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, New South Wales Australia
- />Division of Molecular Medicine, Pathology North, Newcastle, Australia
- />Information Based Medicine, Hunter Medical Research Institute, Newcastle, Australia
| | - Karen A. Mather
- />Centre for Healthy Brain Ageing, Psychiatry, University of New South Wales (UNSW), NPI, Euroa Centre, Barker St, Randwick, Sydney, NSW 2031 Australia
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15
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Dato S, Soerensen M, Lagani V, Montesanto A, Passarino G, Christensen K, Tan Q, Christiansen L. Contribution of genetic polymorphisms on functional status at very old age: a gene-based analysis of 38 genes (311 SNPs) in the oxidative stress pathway. Exp Gerontol 2014; 52:23-9. [PMID: 24462499 DOI: 10.1016/j.exger.2014.01.014] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2013] [Revised: 01/03/2014] [Accepted: 01/11/2014] [Indexed: 01/08/2023]
Abstract
Preservation of functional ability is a well-recognized marker of longevity. At a molecular level, a major determinant of the physiological decline occurring with aging is the imbalance between production and accumulation of oxidative damage to macromolecules, together with a decreased efficiency of stress response to avoid or repair such damage. In this paper we investigated the association of 38 genes (311 SNPs) belonging to the pro-antioxidant pathways with physical and cognitive performances, by analyzing single SNP and gene-based associations with Hand Grip strength (HG), Activities of Daily Living (ADL), Walking Speed (WS), Mini Mental State Examination (MMSE) and Composite Cognitive Score (CCS) in a Cohort of 1089 Danish nonagenarians. Moreover, for each gene analyzed in the pro-antioxidant pathway, we tested the influence on longitudinal survival. In the whole sample, nominal associations were found for TXNRD1 variability with ADL and WS, NDUFS1 and UCP3 with HG and WS, GCLC and UCP2 with WS (p<0.05). Stronger associations although not holding the multiple comparison correction, were observed between MMSE and NDUFV1, MT1A and GSTP1 variability (p<0.009). Moreover, we found that association between genetic variability in the pro-antioxidant pathway and functional status at old age is influenced by sex. In particular, most significant associations were observed in nonagenarian females, between HG scores and GLRX and UCP3 variability, between ADL levels and TXNRD1, MMSE and MT1A genetic variability. In males, a borderline statistically significant association with ADL level was found for UQCRFS1 gene. Nominally significant associations in relation to survival were found in the female sample only with SOD2, NDUFS1, UCP3 and TXNRD1 variability, the latter two confirming previous observations reported in the same cohort. Overall, our work supports the evidence that genes belonging to the pro-anti-oxidant pathway are able to modulate physical and cognitive performance after the ninth decade of life, finally influencing extreme survival.
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Affiliation(s)
- S Dato
- Department of Biology, Ecology and Heart Sciences, University of Calabria, Ponte Pietro Bucci cubo 4C, 87036 Rende, CS, Italy; The Danish Aging Research Center, Epidemiology, Institute of Public Health, University of Southern Denmark, J.B. Winslows Vej 9B, 5000 Odense C, Denmark.
| | - M Soerensen
- The Danish Aging Research Center, Epidemiology, Institute of Public Health, University of Southern Denmark, J.B. Winslows Vej 9B, 5000 Odense C, Denmark; Department of Clinical Genetics, Odense University Hospital, Sdr. Boulevard 29, 5000 Odense C, Denmark.
| | - V Lagani
- Bio Informatics Laboratory, Institute of Computer Science, Foundation for Research and Technology (Hellas), Heraklion, Greece.
| | - A Montesanto
- Department of Biology, Ecology and Heart Sciences, University of Calabria, Ponte Pietro Bucci cubo 4C, 87036 Rende, CS, Italy.
| | - G Passarino
- Department of Biology, Ecology and Heart Sciences, University of Calabria, Ponte Pietro Bucci cubo 4C, 87036 Rende, CS, Italy.
| | - K Christensen
- The Danish Aging Research Center, Epidemiology, Institute of Public Health, University of Southern Denmark, J.B. Winslows Vej 9B, 5000 Odense C, Denmark; Department of Clinical Genetics, Odense University Hospital, Sdr. Boulevard 29, 5000 Odense C, Denmark; Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Sdr. Boulevard 29, 5000 Odense C, Denmark.
| | - Q Tan
- The Danish Aging Research Center, Epidemiology, Institute of Public Health, University of Southern Denmark, J.B. Winslows Vej 9B, 5000 Odense C, Denmark; Department of Clinical Genetics, Odense University Hospital, Sdr. Boulevard 29, 5000 Odense C, Denmark.
| | - L Christiansen
- The Danish Aging Research Center, Epidemiology, Institute of Public Health, University of Southern Denmark, J.B. Winslows Vej 9B, 5000 Odense C, Denmark; Department of Clinical Genetics, Odense University Hospital, Sdr. Boulevard 29, 5000 Odense C, Denmark.
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Dato S, Crocco P, D'Aquila P, de Rango F, Bellizzi D, Rose G, Passarino G. Exploring the role of genetic variability and lifestyle in oxidative stress response for healthy aging and longevity. Int J Mol Sci 2013; 14:16443-72. [PMID: 23965963 PMCID: PMC3759920 DOI: 10.3390/ijms140816443] [Citation(s) in RCA: 63] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2013] [Revised: 07/30/2013] [Accepted: 07/31/2013] [Indexed: 01/04/2023] Open
Abstract
Oxidative stress is both the cause and consequence of impaired functional homeostasis characterizing human aging. The worsening efficiency of stress response with age represents a health risk and leads to the onset and accrual of major age-related diseases. In contrast, centenarians seem to have evolved conservative stress response mechanisms, probably derived from a combination of a diet rich in natural antioxidants, an active lifestyle and a favorable genetic background, particularly rich in genetic variants able to counteract the stress overload at the level of both nuclear and mitochondrial DNA. The integration of these factors could allow centenarians to maintain moderate levels of free radicals that exert beneficial signaling and modulator effects on cellular metabolism. Considering the hot debate on the efficacy of antioxidant supplementation in promoting healthy aging, in this review we gathered the existing information regarding genetic variability and lifestyle factors which potentially modulate the stress response at old age. Evidence reported here suggests that the integration of lifestyle factors (moderate physical activity and healthy nutrition) and genetic background could shift the balance in favor of the antioxidant cellular machinery by activating appropriate defense mechanisms in response to exceeding external and internal stress levels, and thus possibly achieving the prospect of living a longer life.
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Affiliation(s)
- Serena Dato
- Department of Biology, Ecology and Heart Science, University of Calabria, Ponte Pietro Bucci cubo 4c, Rende 87036, CS, Italy.
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