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Santanasto AJ, Acharya S, Wojczynski MK, Cvejkus RK, Lin S, Brent MR, Anema JA, Wang L, Thyagarajan B, Christensen K, Daw EW, Zmuda JM. Whole Genome Linkage and Association Analyses Identify DLG Associated Protein-1 as a Novel Positional and Biological Candidate Gene for Muscle Strength: The Long Life Family Study. J Gerontol A Biol Sci Med Sci 2024; 79:glae144. [PMID: 38808484 DOI: 10.1093/gerona/glae144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Indexed: 05/30/2024] Open
Abstract
BACKGROUND Grip strength is a robust indicator of overall health, is moderately heritable, and predicts longevity in older adults. METHODS Using genome-wide linkage analysis, we identified a novel locus on chromosome 18p (mega-basepair region: 3.4-4.0) linked to grip strength in 3 755 individuals from 582 families aged 64 ± 12 years (range 30-110 years; 55% women). There were 26 families that contributed to the linkage peak (cumulative logarithm of the odds [LOD] score = 10.94), with 6 families (119 individuals) accounting for most of the linkage signal (LOD = 6.4). In these 6 families, using whole genome sequencing data, we performed association analyses between the 7 312 single nucleotide (SNVs) and insertion deletion (INDELs) variants in the linkage region and grip strength. Models were adjusted for age, age2, sex, height, field center, and population substructure. RESULTS We found significant associations between genetic variants (8 SNVs and 4 INDELs, p < 5 × 10-5) in the Disks Large-associated Protein 1 (DLGAP1) gene and grip strength. Haplotypes constructed using these variants explained up to 98.1% of the LOD score. Finally, RNAseq data showed that these variants were significantly associated with the expression of nearby Myosin Light Chain 12A (MYL12A), Structural Maintenance of Chromosomes Flexible Hinge Domain Containing 1 (SMCHD1), Erythrocyte Membrane Protein Band 4.1 Like 3 (EPB41L3) genes (p < .0004). CONCLUSIONS The DLGAP1 gene plays an important role in the postsynaptic density of neurons; thus, it is both a novel positional and biological candidate gene for follow-up studies aimed at uncovering genetic determinants of muscle strength.
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Affiliation(s)
- Adam J Santanasto
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Sandeep Acharya
- Division of Computational and Data Sciences, Center for Genome Sciences and Systems Biology, Washington University in St. Louis, St. Louis, Missouri, USA
- Department of Computer Science, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Mary K Wojczynski
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | - Ryan K Cvejkus
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Shiow Lin
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | - Michael R Brent
- Division of Computational and Data Sciences, Center for Genome Sciences and Systems Biology, Washington University in St. Louis, St. Louis, Missouri, USA
- Department of Computer Science, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Jason A Anema
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | - Lihua Wang
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | - Bharat Thyagarajan
- Department of Laboratory Medicine and Pathology, School of Medicine, University of Minnesota, Minneapolis, Minnesota, USA
| | - Kaare Christensen
- Epidemiology Unit, Institute of Public Health, The Danish Aging Research Center, University of Southern Denmark, Odense, Denmark
| | - E Warwick Daw
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | - Joseph M Zmuda
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
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Fonseca ID, Fabbri LE, Moraes L, Coelho DB, Dos Santos FC, Rosse I. Pleiotropic effects on Sarcopenia subphenotypes point to potential molecular markers for the disease. Arch Gerontol Geriatr 2024; 127:105553. [PMID: 38970884 DOI: 10.1016/j.archger.2024.105553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Revised: 03/10/2024] [Accepted: 06/25/2024] [Indexed: 07/08/2024]
Abstract
Sarcopenia is a progressive age-related muscle disease characterized by low muscle strength, quantity and quality, and low physical performance. The clinical overlap between these subphenotypes (reduction in muscle strength, quantity and quality, and physical performance) was evidenced, but the genetic overlap is still poorly investigated. Herein, we investigated whether there is a genetic overlap amongst sarcopenia subphenotypes in the search for more effective molecular markers for this disease. For that, a Bioinformatics approach was used to identify and characterize pleiotropic effects at the genome, loci and gene levels using Genome-wide association study results. As a result, a high genetic correlation was identified between gait speed and muscle strength (rG=0.5358, p=3.39 × 10-8). Using a Pleiotropy-informed conditional and conjunctional false discovery rate method we identified two pleiotropic loci for muscle strength and gait speed, one of them was nearby the gene PHACTR1. Moreover, 11 pleiotropic loci and 25 genes were identified for muscle mass and muscle strength. Lastly, using a gene-based GWAS approach three candidate genes were identified in the overlap of the three Sarcopenia subphenotypes: FTO, RPS10 and CALCR. The current study provides evidence of genetic overlap and pleiotropy among sarcopenia subphenotypes and highlights novel candidate genes and molecular markers associated with the risk of sarcopenia.
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Affiliation(s)
- Isabela D Fonseca
- Programa de Pós-Graduação em Biotecnologia, Núcleo de Pesquisas em Ciências Biológicas, Universidade Federal de Ouro Preto, Ouro Preto, MG Brazil; Laboratório de Biologia Celular e Molecular, Núcleo de Pesquisas em Ciências Biológicas, Escola de Farmácia, Universidade Federal de Ouro Preto, Campus Morro do Cruzeiro Ouro Preto, MG Brazil
| | - Luiz Eduardo Fabbri
- Faculdade de Ciências Farmacêuticas, Universidade Estadual de Campinas, Campinas, SP Brazil
| | - Lauro Moraes
- Laboratório Multiusuário de Bioinformática, Pós-Graduação em Biotecnologia, Núcleo de Pesquisas em Ciências Biológicas, Universidade Federal de Ouro Preto, Ouro Preto, MG Brazil
| | - Daniel B Coelho
- Laboratório de Fisiologia do Exercício da Escola de Educação Física, Universidade Federal de Ouro Preto, Ouro Preto, MG Brazil
| | - Fernanda C Dos Santos
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health Toronto, ON Canada
| | - Izinara Rosse
- Programa de Pós-Graduação em Biotecnologia, Núcleo de Pesquisas em Ciências Biológicas, Universidade Federal de Ouro Preto, Ouro Preto, MG Brazil; Laboratório Multiusuário de Bioinformática, Pós-Graduação em Biotecnologia, Núcleo de Pesquisas em Ciências Biológicas, Universidade Federal de Ouro Preto, Ouro Preto, MG Brazil; Laboratório de Biologia Celular e Molecular, Núcleo de Pesquisas em Ciências Biológicas, Escola de Farmácia, Universidade Federal de Ouro Preto, Campus Morro do Cruzeiro Ouro Preto, MG Brazil.
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Ito S, Takuwa H, Kakehi S, Someya Y, Kaga H, Kumahashi N, Kuwata S, Wakatsuki T, Kadowaki M, Yamamoto S, Abe T, Takeda M, Ishikawa Y, Liu X, Otomo N, Suetsugu H, Koike Y, Hikino K, Tomizuka K, Momozawa Y, Ozaki K, Isomura M, Nabika T, Kaneko H, Ishijima M, Kawamori R, Watada H, Tamura Y, Uchio Y, Ikegawa S, Terao C. A genome-wide association study identifies a locus associated with knee extension strength in older Japanese individuals. Commun Biol 2024; 7:513. [PMID: 38769351 PMCID: PMC11106293 DOI: 10.1038/s42003-024-06108-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 03/26/2024] [Indexed: 05/22/2024] Open
Abstract
Sarcopenia is a common skeletal muscle disease in older people. Lower limb muscle strength is a good predictive value for sarcopenia; however, little is known about its genetic components. Here, we conducted a genome-wide association study (GWAS) for knee extension strength in a total of 3452 Japanese aged 60 years or older from two independent cohorts. We identified a significant locus, rs10749438 which is an intronic variant in TACC2 (transforming acidic coiled-coil-containing 2) (P = 4.2 × 10-8). TACC2, encoding a cytoskeleton-related protein, is highly expressed in skeletal muscle, and is reported as a target of myotonic dystrophy 1-associated splicing alterations. These suggest that changes in TACC2 expression are associated with variations in muscle strength in older people. The association was consistently observed in young and middle-aged subjects. Our findings would shed light on genetic components of lower limb muscle strength and indicate TACC2 as a potential therapeutic target for sarcopenia.
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Affiliation(s)
- Shuji Ito
- Laboratory for Bone and Joint Diseases, RIKEN Center for Integrative Medical Sciences, Tokyo, 108-8639, Japan
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, 230-0045, Japan
- Department of Orthopedic Surgery, Shimane University Faculty of Medicine, Izumo, 693-8501, Japan
| | - Hiroshi Takuwa
- Laboratory for Bone and Joint Diseases, RIKEN Center for Integrative Medical Sciences, Tokyo, 108-8639, Japan
- Department of Orthopedic Surgery, Shimane University Faculty of Medicine, Izumo, 693-8501, Japan
| | - Saori Kakehi
- Department of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, 113-8421, Japan
- Sportology Center, Juntendo University Graduate School of Medicine, Tokyo, 113-8421, Japan
| | - Yuki Someya
- Sportology Center, Juntendo University Graduate School of Medicine, Tokyo, 113-8421, Japan
- Graduate School of Health and Sports Science, Juntendo University, Inzai, 270-1695, Japan
| | - Hideyoshi Kaga
- Department of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, 113-8421, Japan
| | - Nobuyuki Kumahashi
- Department of Orthopedic Surgery, Matsue Red Cross Hospital, Matsue, 690-8506, Japan
| | - Suguru Kuwata
- Department of Orthopedic Surgery, Shimane University Faculty of Medicine, Izumo, 693-8501, Japan
| | - Takuya Wakatsuki
- Department of Orthopedic Surgery, Shimane University Faculty of Medicine, Izumo, 693-8501, Japan
| | - Masaru Kadowaki
- Department of Orthopedic Surgery, Shimane University Faculty of Medicine, Izumo, 693-8501, Japan
| | - Soichiro Yamamoto
- Department of Orthopedic Surgery, Shimane University Faculty of Medicine, Izumo, 693-8501, Japan
| | - Takafumi Abe
- The Center for Community-based Healthcare Research and Education (CoHRE), Shimane University, Izumo, 693-8501, Japan
| | - Miwako Takeda
- The Center for Community-based Healthcare Research and Education (CoHRE), Shimane University, Izumo, 693-8501, Japan
| | - Yuki Ishikawa
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, 230-0045, Japan
| | - Xiaoxi Liu
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, 230-0045, Japan
| | - Nao Otomo
- Laboratory for Bone and Joint Diseases, RIKEN Center for Integrative Medical Sciences, Tokyo, 108-8639, Japan
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, 230-0045, Japan
- Department of Orthopaedic Surgery, School of Medicine, Keio University, Tokyo, 160-8582, Japan
| | - Hiroyuki Suetsugu
- Laboratory for Bone and Joint Diseases, RIKEN Center for Integrative Medical Sciences, Tokyo, 108-8639, Japan
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, 230-0045, Japan
- Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, 812-8582, Japan
| | - Yoshinao Koike
- Laboratory for Bone and Joint Diseases, RIKEN Center for Integrative Medical Sciences, Tokyo, 108-8639, Japan
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, 230-0045, Japan
- Department of Orthopedic Surgery, Hokkaido University Graduate School of Medicine, Sapporo, 060-8638, Japan
| | - Keiko Hikino
- Laboratory for Pharmacogenomics, RIKEN Center for Integrative Medical Sciences, Yokohama, 230-0045, Japan
| | - Kohei Tomizuka
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, 230-0045, Japan
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, 230-0045, Japan
| | - Kouichi Ozaki
- Medical Genome Center, Research Institute, National Center for Geriatrics and Gerontology, Obu, 474-8511, Japan
| | - Minoru Isomura
- The Center for Community-based Healthcare Research and Education (CoHRE), Shimane University, Izumo, 693-8501, Japan
- Faculty of Human Sciences, Shimane University, Matsue, 690-8504, Japan
| | - Toru Nabika
- The Center for Community-based Healthcare Research and Education (CoHRE), Shimane University, Izumo, 693-8501, Japan
- Department of Functional Pathology, Shimane University School of Medicine, Izumo, 693-8501, Japan
| | - Haruka Kaneko
- Department of Medicine for Orthopaedics and Motor Organ, Juntendo University Graduate School of Medicine, Tokyo, 113-8421, Japan
| | - Muneaki Ishijima
- Sportology Center, Juntendo University Graduate School of Medicine, Tokyo, 113-8421, Japan
- Department of Medicine for Orthopaedics and Motor Organ, Juntendo University Graduate School of Medicine, Tokyo, 113-8421, Japan
| | - Ryuzo Kawamori
- Department of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, 113-8421, Japan
- Sportology Center, Juntendo University Graduate School of Medicine, Tokyo, 113-8421, Japan
| | - Hirotaka Watada
- Department of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, 113-8421, Japan
- Sportology Center, Juntendo University Graduate School of Medicine, Tokyo, 113-8421, Japan
| | - Yoshifumi Tamura
- Department of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, 113-8421, Japan
- Sportology Center, Juntendo University Graduate School of Medicine, Tokyo, 113-8421, Japan
| | - Yuji Uchio
- Department of Orthopedic Surgery, Shimane University Faculty of Medicine, Izumo, 693-8501, Japan
| | - Shiro Ikegawa
- Laboratory for Bone and Joint Diseases, RIKEN Center for Integrative Medical Sciences, Tokyo, 108-8639, Japan
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, 230-0045, Japan
| | - Chikashi Terao
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, 230-0045, Japan.
- Clinical Research Center, Shizuoka General Hospital, Shizuoka, 420-8527, Japan.
- The Department of Applied Genetics, The School of Pharmaceutical Sciences, University of Shizuoka, Shizuoka, 422-8526, Japan.
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Xiao X, Wu Q. Enhanced fracture risk prediction: a novel multi-trait genetic approach integrating polygenic scores of fracture-related traits. Osteoporos Int 2024:10.1007/s00198-024-07105-5. [PMID: 38713246 DOI: 10.1007/s00198-024-07105-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 04/25/2024] [Indexed: 05/08/2024]
Abstract
The novel metaPGS, integrating multiple fracture-related genetic traits, surpasses traditional polygenic scores in predicting fracture risk. Demonstrating a robust association with incident fractures, this metaPGS offers significant potential for enhancing clinical fracture risk assessment and tailoring prevention strategies. INTRODUCTION Current polygenic scores (PGS) have limited predictive power for fracture risk. To improve genetic prediction, we developed and evaluated a novel metaPGS combining genetic information from multiple fracture-related traits. METHODS We derived individual PGS from genome-wide association studies of 16 fracture-related traits and employed an elastic-net logistic regression model to examine the association between the 16 PGSs and fractures. An optimal metaPGS was constructed by combining 11 significant individual PGSs selected by the elastic regularized regression model. We evaluated the predictive power of the metaPGS alone and in combination with clinical risk factors recommended by guidelines. The discrimination ability of metaPGS was assessed using the concordance index. Reclassification was assessed using net reclassification improvement (NRI) and integrated discrimination improvement (IDI). RESULTS The metaPGS had a significant association with incident fractures (HR 1.21, 95% CI 1.18-1.25 per standard deviation of metaPGS), which was stronger than previously developed bone mineral density (BMD)-related individual PGSs. Models with PGS_FNBMD, PGS_TBBMD, and metaPGS had slightly higher but statistically non-significant c-index than the base model (0.640, 0.644, 0.644 vs. 0.638). However, the reclassification analysis showed that compared to the base model, the model with metaPGS improves the reclassification of fracture. CONCLUSIONS The metaPGS is a promising approach for stratifying fracture risk in the European population, improving fracture risk prediction by combining genetic information from multiple fracture-related traits.
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Affiliation(s)
- Xiangxue Xiao
- Nevada Institute of Personalized Medicine, College of Science, University of Nevada, Las Vegas, NV, USA
- Department of Epidemiology and Biostatistics, School of Public Health, University of Nevada Las Vegas, Las Vegas, NV, USA
| | - Qing Wu
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, 250 Lincoln Tower, 1800 Cannon Dr, Columbus, OH, 43210, USA.
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Luo J, Wang W, Li J, Duan H, Xu C, Tian X, Zhang D. Epigenome-wide association study identifies DNA methylation loci associated with handgrip strength in Chinese monozygotic twins. Front Cell Dev Biol 2024; 12:1378680. [PMID: 38633108 PMCID: PMC11021642 DOI: 10.3389/fcell.2024.1378680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 03/22/2024] [Indexed: 04/19/2024] Open
Abstract
Background: The decline in muscle strength and function with aging is well recognized, but remains poorly characterized at the molecular level. Here, we report the epigenetic relationship between genome-wide DNA methylation and handgrip strength (HGS) among Chinese monozygotic (MZ) twins. Methods: DNA methylation (DNAm) profiling was conducted in whole blood samples through Reduced Representation Bisulfite Sequencing method. Generalized estimating equation was applied to regress the DNAm of each CpG with HGS. The Genomic Regions Enrichment of Annotations Tool was used to perform enrichment analysis. Differentially methylated regions (DMRs) were detected using comb-p. Causal inference was performed using Inference about Causation through Examination of Familial Confounding method. Finally, we validated candidate CpGs in community residents. Results: We identified 25 CpGs reaching genome-wide significance level. These CpGs located in 9 genes, especially FBLN1, RXRA, and ABHD14B. Many enriched terms highlighted calcium channels, neuromuscular junctions, and skeletal muscle organ development. We identified 21 DMRs of HGS, with several DMRs within FBLN1, SLC30A8, CST3, and SOCS3. Causal inference indicated that the DNAm of 16 top CpGs within FBLN1, RXRA, ABHD14B, MFSD6, and TYW1B might influence HGS, while HGS influenced DNAm at two CpGs within FBLN1 and RXRA. In validation analysis, methylation levels of six CpGs mapped to FLBN1 and one CpG mapped to ABHD14B were negatively associated with HGS weakness in community population. Conclusion: Our study identified multiple DNAm variants potentially related to HGS, especially CpGs within FBLN1 and ABHD14B. These findings provide new clues to the epigenetic modification underlying muscle strength decline.
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Affiliation(s)
- Jia Luo
- Department of Epidemiology and Health Statistics, School of Public Health, Qingdao University, Qingdao, Shandong, China
| | - Weijing Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Qingdao University, Qingdao, Shandong, China
| | - Jingxian Li
- Department of Epidemiology and Health Statistics, School of Public Health, Qingdao University, Qingdao, Shandong, China
| | - Haiping Duan
- Qingdao Municipal Centre for Disease Control and Prevention, Qingdao, Shandong, China
- Qingdao Institute of Preventive Medicine, Qingdao, Shandong, China
| | - Chunsheng Xu
- Qingdao Municipal Centre for Disease Control and Prevention, Qingdao, Shandong, China
- Qingdao Institute of Preventive Medicine, Qingdao, Shandong, China
| | - Xiaocao Tian
- Qingdao Municipal Centre for Disease Control and Prevention, Qingdao, Shandong, China
- Qingdao Institute of Preventive Medicine, Qingdao, Shandong, China
| | - Dongfeng Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Qingdao University, Qingdao, Shandong, China
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Ahmetov II, John G, Semenova EA, Hall ECR. Genomic predictors of physical activity and athletic performance. ADVANCES IN GENETICS 2024; 111:311-408. [PMID: 38908902 DOI: 10.1016/bs.adgen.2024.01.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/24/2024]
Abstract
Physical activity and athletic performance are complex phenotypes influenced by environmental and genetic factors. Recent advances in lifestyle and behavioral genomics led to the discovery of dozens of DNA polymorphisms (variants) associated with physical activity and allowed to use them as genetic instruments in Mendelian randomization studies for identifying the causal links between physical activity and health outcomes. On the other hand, exercise and sports genomics studies are focused on the search for genetic variants associated with athlete status, sports injuries and individual responses to training and supplement use. In this review, the findings of studies investigating genetic markers and their associations with physical activity and athlete status are reported. As of the end of September 2023, a total of 149 variants have been associated with various physical activity traits (of which 42 variants are genome-wide significant) and 253 variants have been linked to athlete status (115 endurance-related, 96 power-related, and 42 strength-related).
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Affiliation(s)
- Ildus I Ahmetov
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, United Kingdom; Sports Genetics Laboratory, St Petersburg Research Institute of Physical Culture, St. Petersburg, Russia; Laboratory of Genetics of Aging and Longevity, Kazan State Medical University, Kazan, Russia; Department of Physical Education, Plekhanov Russian University of Economics, Moscow, Russia.
| | - George John
- Transform Specialist Medical Centre, Dubai, United Arab Emirates
| | - Ekaterina A Semenova
- Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia; Research Institute of Physical Culture and Sport, Volga Region State University of Physical Culture, Sport and Tourism, Kazan, Russia
| | - Elliott C R Hall
- Faculty of Health Sciences and Sport, University of Stirling, Stirling, United Kingdom
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Mendo CW, Gaudreau P, Lefebvre G, Marrie RA, Potter BJ, Wister A, Wolfson C, Keezer MR, Sylvestre MP. The association between grip strength and carotid intima media thickness: A Mendelian randomization analysis of the Canadian Longitudinal Study on Aging. Ann Epidemiol 2024; 89:15-20. [PMID: 38061557 DOI: 10.1016/j.annepidem.2023.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 11/10/2023] [Accepted: 12/04/2023] [Indexed: 12/27/2023]
Abstract
BACKGROUND Several two-sample Mendelian randomization studies have reported discordant results concerning the association between grip strength and cardiovascular disease, possibly due to the number of instrumental variables used, pleiotropic bias, and/ or effect modification by age and sex. METHODS We conducted a sex- and age-stratified one-sample Mendelian randomization study in the Canadian Longitudinal Study on Aging. We investigated whether grip strength is associated with carotid intima media thickness (cIMT), a marker of vascular atherosclerosis event risk, using eighteen single nucleotide polymorphisms (SNP) identified as specifically associated with grip strength. RESULTS A total of 20,258 participants of self-reported European ancestry were included in the analytic sample. Our Mendelian randomization findings suggest a statistically significant association between grip strength and cIMT (MR coefficient of 0.02 (95% CI: 0.01, 0.04)). We found no statistically significant differences between sexes (p-value = 0.201), or age groups [(≤ 60 years old versus >60 years old); p-value = 0.421]. CONCLUSION This study provides evidence that grip strength is inversely associated with cIMT. Our one-sample MR study design allowed us to demonstrate that there is no evidence of heterogeneity of effects according to age group or biological sex.
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Affiliation(s)
- Christian W Mendo
- Centre de Recherche du Centre hospitalier de l'Université de Montréal, Canada; École de Santé Publique de l'Université de Montréal, Canada
| | - Pierrette Gaudreau
- Centre de Recherche du Centre hospitalier de l'Université de Montréal, Canada; Département de Médecine de l'Université de Montréal, Canada
| | | | - Ruth A Marrie
- Max Rady College of Medicine, University of Manitoba, Canada
| | - Brian J Potter
- Centre de Recherche du Centre hospitalier de l'Université de Montréal, Canada; Département de Médecine de l'Université de Montréal, Canada; Centre Cardiovasculaire du Centre hospitalier de l'Université de Montréal, Canada
| | - Andrew Wister
- Centre Cardiovasculaire du Centre hospitalier de l'Université de Montréal, Canada; Gerontology Research Centre, Simon Fraser University, Canada
| | - Christina Wolfson
- Departement of Gerontology, Simon Fraser University, Canada; Department of Medicine, McGill University, Canada; Research Institute of the McGill University Health Centre, Canada
| | - Mark R Keezer
- Centre de Recherche du Centre hospitalier de l'Université de Montréal, Canada; École de Santé Publique de l'Université de Montréal, Canada; Department of Neurosciences, Université de Montréal, Canada
| | - Marie-Pierre Sylvestre
- Centre de Recherche du Centre hospitalier de l'Université de Montréal, Canada; École de Santé Publique de l'Université de Montréal, Canada.
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Ahn SH, Park EB, Seo S, Cho Y, Seo DH, Kim SH, Suh YJ, Hong S. Familial Correlation and Heritability of Hand Grip Strength in Korean Adults (Korea National Health and Nutrition Examination Survey 2014 to 2019). Endocrinol Metab (Seoul) 2023; 38:709-719. [PMID: 37933110 PMCID: PMC10765004 DOI: 10.3803/enm.2023.1740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 09/08/2023] [Accepted: 09/13/2023] [Indexed: 11/08/2023] Open
Abstract
BACKGRUOUND The onset and progression of sarcopenia are highly variable among individuals owing to genetic and environmental factors. However, there are a limited number of studies measuring the heritability of muscle strength in large numbers of parent-adult offspring pairs. We aimed to investigate the familial correlation and heritability of hand grip strength (HGS) among Korean adults. METHODS This family-based cohort study on data from the Korea National Health and Nutrition Examination Survey (2014 to 2019) included 5,004 Koreans aged ≥19 years from 1,527 families. HGS was measured using a digital grip strength dynamometer. Familial correlations of HGS were calculated in different pairs of relatives. Variance component methods were used to estimate heritability. RESULTS The heritability estimate of HGS among Korean adults was 0.154 (standard error, 0.066). Correlation coefficient estimates for HGS between parent-offspring, sibling, and spouse pairs were significant at 0.07, 0.10, and 0.23 (P<0.001, P=0.041, and P<0.001, respectively). The total variance in the HGS phenotype was explained by additive genetic (15.4%), shared environmental (11.0%), and unique environmental (73.6%) influences. The odds of weak HGS significantly increased in the offspring of parents with weak HGS (odds ratio [OR], 1.69-3.10; P=0.027-0.038), especially in daughters (OR, 2.04-4.64; P=0.029-0.034). CONCLUSION HGS exhibits a familial correlation and significant heritable tendency in Korean adults. Therefore, Asian adults, especially women, who have parents with weak HGS, need to pay special attention to their muscle health with the help of healthy environmental stimuli.
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Affiliation(s)
- Seong Hee Ahn
- Department of Endocrinology and Metabolism, Inha University Hospital, Inha University College of Medicine, Incheon, Korea
| | - Eun Byeol Park
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea
| | - Seongha Seo
- Department of Endocrinology and Metabolism, Inha University Hospital, Inha University College of Medicine, Incheon, Korea
| | - Yongin Cho
- Department of Endocrinology and Metabolism, Inha University Hospital, Inha University College of Medicine, Incheon, Korea
| | - Da Hea Seo
- Department of Endocrinology and Metabolism, Inha University Hospital, Inha University College of Medicine, Incheon, Korea
| | - So Hun Kim
- Department of Endocrinology and Metabolism, Inha University Hospital, Inha University College of Medicine, Incheon, Korea
| | - Young Ju Suh
- Department of Biomedical Sciences, Inha University College of Medicine, Incheon, Korea
| | - Seongbin Hong
- Department of Endocrinology and Metabolism, Inha University Hospital, Inha University College of Medicine, Incheon, Korea
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9
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Zhao X, Xu W, Gu Y, Li Z, Sun G. Causal associations between hand grip strength and pulmonary function: a two-sample Mendelian randomization study. BMC Pulm Med 2023; 23:459. [PMID: 37990169 PMCID: PMC10664596 DOI: 10.1186/s12890-023-02720-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 10/19/2023] [Indexed: 11/23/2023] Open
Abstract
BACKGROUND Several observational studies have reported an association between hand grip strength (HGS) and pulmonary function (PF). However, causality is unclear. To investigate whether HGS and PF are causally associated, we performed Mendelian randomization (MR) analyses. METHODS We identified 110 independent single nucleotide polymorphisms (SNPs) for right-hand grip strength (RHGS) and 103 independent SNPs for left-hand grip strength (LHGS) at the genome-wide significant threshold (P < 5 × 10-8) from MRC-IEU Consortium and evaluated these related to PF. MR estimates were calculated using the inverse-variance weighted (IVW) method and multiple sensitivity analyses were further performed. RESULTS Genetical liability to HGS was positively causally associated with forced vital capacity (FVC) and forced expiratory volume in one second (FEV1), but not with FEV1/FVC. In addition, there was positive causal association between RHGS and FVC (OR=1.519; 95% CI, 1.418-1.627; P=8.96E-33), and FEV1 (OR=1.486; 95% CI, 1.390-1.589; P=3.19E-31); and positive causal association between LHGS and FVC (OR=1.464; 95% CI, 1.385-1.548; P=2.83E-41) and FEV1 (OR=1.419; 95% CI, 1.340-1.502; P=3.19E-33). Nevertheless, no associations were observed between RHGS and FEV1/FVC (OR=0.998; 95% CI, 0.902-1.103; P=9.62E-01) and between LHGS and FEV1/FVC (OR=0.966; 95% CI, 0.861-1.083; P=5.52E-01). Similar results were shown in several sensitivity analyses. CONCLUSION Our study provides support at the genetic level that HGS is positively causally associated with FVC and FEV1, but not with FEV1/FVC. Interventions for HGS in PF impairment deserve further exploration as potential indicators of PF assessment.
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Affiliation(s)
- Xianghu Zhao
- College of Sports Medicine, Wuhan Sports University, Wuhan, 430079, Hubei Province, China
- Department of Rehabilitation, Zhongda Hospital, Southeast University, Nanjing, 210009, Jiangsu Province, China
| | - Wenyuan Xu
- Graduate School, Anhui University of Chinese Medicine, Hefei, 230012, Anhui Province, China
| | - Yanchao Gu
- College of Sports Medicine, Wuhan Sports University, Wuhan, 430079, Hubei Province, China
| | - Zhanghua Li
- Department of Orthopedics, Wuhan Third Hospital, Tongren Hospital of Wuhan University, Wuhan, 430074, Hubei Province, China.
| | - Guiju Sun
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, 210009, Jiangsu Province, China.
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10
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Newman AB, Visser M, Kritchevsky SB, Simonsick E, Cawthon PM, Harris TB. The Health, Aging, and Body Composition (Health ABC) Study-Ground-Breaking Science for 25 Years and Counting. J Gerontol A Biol Sci Med Sci 2023; 78:2024-2034. [PMID: 37431156 PMCID: PMC10613019 DOI: 10.1093/gerona/glad167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Indexed: 07/12/2023] Open
Abstract
BACKGROUND The Health, Aging, and Body Composition Study is a longitudinal cohort study that started just over 25 years ago. This ground-breaking study tested specific hypotheses about the importance of weight, body composition, and weight-related health conditions for incident functional limitation in older adults. METHODS Narrative review with analysis of ancillary studies, career awards, publications, and citations. RESULTS Key findings of the study demonstrated the importance of body composition as a whole, both fat and lean mass, in the disablement pathway. The quality of the muscle in terms of its strength and its composition was found to be a critical feature in defining sarcopenia. Dietary patterns and especially protein intake, social factors, and cognition were found to be critical elements for functional limitation and disability. The study is highly cited and its assessments have been widely adopted in both observational studies and clinical trials. Its impact continues as a platform for collaboration and career development. CONCLUSIONS The Health ABC provides a knowledge base for the prevention of disability and promotion of mobility in older adults.
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Affiliation(s)
- Anne B Newman
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Marjolein Visser
- Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Stephen B Kritchevsky
- Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Eleanor Simonsick
- National Institute on Aging, Translational Gerontology Branch Biomedical Research Center, Baltimore, Maryland, USA
| | - Peggy M Cawthon
- Research Institute, California Pacific Medical Center, University of California, San Francisco, California, USA
| | - Tamara B Harris
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program NIA, NIH, Bethesda, Maryland, USA
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11
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Stringa N, van Schoor NM, Hoogendijk EO, Milaneschi Y, Huisman M. The phenotypic and genotypic association of grip strength with frailty, physical performance and functional limitations over time in older adults. Age Ageing 2023; 52:afad189. [PMID: 37847794 PMCID: PMC10581539 DOI: 10.1093/ageing/afad189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Indexed: 10/19/2023] Open
Abstract
OBJECTIVES To replicate the phenotypic associations of grip strength with frailty, physical performance and functional limitations in older adults for longer follow-up periods and to examine whether these associations are due to shared genetic factors. METHODS In total 2,262 participants 55 years and older with follow-up data up to 23 years (Nobservations = 8,262) from the Longitudinal Aging Study Amsterdam were included. Weighted polygenic risk scores for grip strength (PRS-GS) were built using the genome-wide meta-analysis results from UK Biobank as reference. Grip strength was measured two times on each hand using a dynamometer. Frailty index (FI) and frailty phenotype were operationalised following standard procedures. Performance tests included a timed walk test, a repeated chair stands test and put on-take off cardigan test. Functional limitations were assessed using a questionnaire with six items. RESULTS Higher grip strength was phenotypically associated with lower FI (b = -0.013, 95% CI (-0.016, -0.009)), better physical performance (b = 0.040, 95% CI (0.026, 0.054)) and less functional limitations (OR = 0.965, 95% CI (0.954, 0.977)) over time for follow-up periods up to 23 years. However, PRS-GS was not associated with any of the traits. CONCLUSION The phenotypic associations between grip strength, frailty, physical performance and functional limitations were replicated for follow-up periods up to 23 years. However, the associations between the traits could not be explained by shared genetics potentially indicating a more relevant involvement of non-genetic factors.
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Affiliation(s)
- Najada Stringa
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC—Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Natasja M van Schoor
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC—Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Emiel O Hoogendijk
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC—Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam Public Health Research Institute, Amsterdam UMC—Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- GGZ inGeest, Amsterdam, the Netherlands
| | - Martijn Huisman
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC—Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Department of Sociology, Vrije Universiteit, Amsterdam, the Netherlands
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12
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Semenova EA, Hall ECR, Ahmetov II. Genes and Athletic Performance: The 2023 Update. Genes (Basel) 2023; 14:1235. [PMID: 37372415 DOI: 10.3390/genes14061235] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 06/05/2023] [Accepted: 06/07/2023] [Indexed: 06/29/2023] Open
Abstract
Phenotypes of athletic performance and exercise capacity are complex traits influenced by both genetic and environmental factors. This update on the panel of genetic markers (DNA polymorphisms) associated with athlete status summarises recent advances in sports genomics research, including findings from candidate gene and genome-wide association (GWAS) studies, meta-analyses, and findings involving larger-scale initiatives such as the UK Biobank. As of the end of May 2023, a total of 251 DNA polymorphisms have been associated with athlete status, of which 128 genetic markers were positively associated with athlete status in at least two studies (41 endurance-related, 45 power-related, and 42 strength-related). The most promising genetic markers include the AMPD1 rs17602729 C, CDKN1A rs236448 A, HFE rs1799945 G, MYBPC3 rs1052373 G, NFIA-AS2 rs1572312 C, PPARA rs4253778 G, and PPARGC1A rs8192678 G alleles for endurance; ACTN3 rs1815739 C, AMPD1 rs17602729 C, CDKN1A rs236448 C, CPNE5 rs3213537 G, GALNTL6 rs558129 T, IGF2 rs680 G, IGSF3 rs699785 A, NOS3 rs2070744 T, and TRHR rs7832552 T alleles for power; and ACTN3 rs1815739 C, AR ≥21 CAG repeats, LRPPRC rs10186876 A, MMS22L rs9320823 T, PHACTR1 rs6905419 C, and PPARG rs1801282 G alleles for strength. It should be appreciated, however, that elite performance still cannot be predicted well using only genetic testing.
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Affiliation(s)
- Ekaterina A Semenova
- Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, 119435 Moscow, Russia
- Research Institute of Physical Culture and Sport, Volga Region State University of Physical Culture, Sport and Tourism, 420138 Kazan, Russia
| | - Elliott C R Hall
- Faculty of Health Sciences and Sport, University of Stirling, Stirling FK9 4UA, UK
| | - Ildus I Ahmetov
- Laboratory of Genetics of Aging and Longevity, Kazan State Medical University, 420012 Kazan, Russia
- Sports Genetics Laboratory, St Petersburg Research Institute of Physical Culture, 191040 St. Petersburg, Russia
- Department of Physical Education, Plekhanov Russian University of Economics, 115093 Moscow, Russia
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool L3 5AF, UK
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13
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la Torre A, Lo Vecchio F, Greco A. Epigenetic Mechanisms of Aging and Aging-Associated Diseases. Cells 2023; 12:cells12081163. [PMID: 37190071 DOI: 10.3390/cells12081163] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Revised: 04/04/2023] [Accepted: 04/07/2023] [Indexed: 05/17/2023] Open
Abstract
Aging is an inevitable outcome of life, characterized by a progressive decline in tissue and organ function. At a molecular level, it is marked by the gradual alterations of biomolecules. Indeed, important changes are observed on the DNA, as well as at a protein level, that are influenced by both genetic and environmental parameters. These molecular changes directly contribute to the development or progression of several human pathologies, including cancer, diabetes, osteoporosis, neurodegenerative disorders and others aging-related diseases. Additionally, they increase the risk of mortality. Therefore, deciphering the hallmarks of aging represents a possibility for identifying potential druggable targets to attenuate the aging process, and then the age-related comorbidities. Given the link between aging, genetic, and epigenetic alterations, and given the reversible nature of epigenetic mechanisms, the precisely understanding of these factors may provide a potential therapeutic approach for age-related decline and disease. In this review, we center on epigenetic regulatory mechanisms and their aging-associated changes, highlighting their inferences in age-associated diseases.
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Affiliation(s)
- Annamaria la Torre
- Laboratory of Gerontology and Geriatrics, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, 71013 Foggia, Italy
| | - Filomena Lo Vecchio
- Laboratory of Gerontology and Geriatrics, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, 71013 Foggia, Italy
| | - Antonio Greco
- Complex Unit of Geriatrics, Department of Medical Sciences, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, 71013 Foggia, Italy
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14
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Tassinari V, La Rosa P, Guida E, Colopi A, Caratelli S, De Paolis F, Gallo A, Cenciarelli C, Sconocchia G, Dolci S, Cesarini V. Contribution of A-to-I RNA editing, M6A RNA Methylation, and Alternative Splicing to physiological brain aging and neurodegenerative diseases. Mech Ageing Dev 2023; 212:111807. [PMID: 37023929 DOI: 10.1016/j.mad.2023.111807] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 03/31/2023] [Accepted: 04/03/2023] [Indexed: 04/08/2023]
Abstract
Aging is a physiological and progressive phenomenon in all organisms' life cycle, characterized by the accumulation of degenerative processes triggered by several alterations within molecular pathways. These changes compromise cell fate, resulting in the loss of functions in tissues throughout the body, including the brain. Physiological brain aging has been linked to structural and functional alterations, as well as to an increased risk of neurodegenerative diseases. Post-transcriptional RNA modifications modulate mRNA coding properties, stability, translatability, expanding the coding capacity of the genome, and are involved in all cellular processes. Among mRNA post-transcriptional modifications, the A-to-I RNA editing, m6A RNA Methylation and Alternative Splicing play a critical role in all the phases of a neuronal cell life cycle and alterations in their mechanisms of action significantly contribute to aging and neurodegeneration. Here we review our current understanding of the contribution of A-to-I RNA editing, m6A RNA Methylation, and Alternative Splicing to physiological brain aging process and neurodegenerative diseases.
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Affiliation(s)
- Valentina Tassinari
- Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy; Department of Experimental Medicine, University of Rome Tor Vergata, Rome, Italy.
| | - Piergiorgio La Rosa
- Division of Neuroscience, Department of Psychology, Sapienza University of Rome, Rome, Italy; European Center for Brain Research, IRCCS Fondazione Santa Lucia, Rome, Italy
| | - Eugenia Guida
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy
| | - Ambra Colopi
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy
| | - Sara Caratelli
- Department of Biomedicine, Institute of Translational Pharmacology (IFT), National Research Council (CNR), Rome, Italy
| | - Francesca De Paolis
- Department of Biomedicine, Institute of Translational Pharmacology (IFT), National Research Council (CNR), Rome, Italy
| | - Angela Gallo
- RNA Editing Lab., Oncohaematology Department, Cellular and Gene Therapy Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Carlo Cenciarelli
- Department of Biomedicine, Institute of Translational Pharmacology (IFT), National Research Council (CNR), Rome, Italy
| | - Giuseppe Sconocchia
- Department of Biomedicine, Institute of Translational Pharmacology (IFT), National Research Council (CNR), Rome, Italy
| | - Susanna Dolci
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy
| | - Valeriana Cesarini
- Department of Biomedicine, Institute of Translational Pharmacology (IFT), National Research Council (CNR), Rome, Italy.
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15
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Luo J, Zhang T, Wang W, Zhang D. Genome-wide association study of handgrip strength in the Northern Chinese adult twins. Connect Tissue Res 2023; 64:117-125. [PMID: 35876483 DOI: 10.1080/03008207.2022.2104160] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
PURPOSE Currently, new loci related to handgrip strength have been identified in genome-wide association studies. However, this topic is an understudied area in the Chinese population. MATERIALS AND METHODS A total of 135 dizygotic twin pairs recruited from the Qingdao Twin Registry system were included in the present study. Using GEMMA, VEAGSE2, and PASCAL software for SNP-based analysis, gene-based analysis, and pathway-based analysis, respectively. The resulting SNPs were subjected to eQTL analysis. RESULTS Although none of the loci reach the statistically significant level (p < 5 × 10-8), we found 19 SNPs exceeding the suggestive significant level (p < 1 × 10-5). After imputation, 162 SNPs reached suggestive evidence level for handgrip strength. A total of 1,118 genes reached the nominal significance level (p < 0.05) in gene-based analysis. A total of 626 potential biological pathways were associated with handgrip strength (p < 0.05). The results of eQTL analysis were mainly enriched in tissues such as the muscle-skeletal, brain, visceral fat, and brain-cortical. CONCLUSIONS Genetic variants may involve in regulatory domains, functional genes, and biological pathways that mediate handgrip strength.
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Affiliation(s)
- Jia Luo
- Department of Epidemiology and Health Statistics, Public Health College, Qingdao University, Qingdao, Shandong Province, China
| | - Tianhao Zhang
- Department of Epidemiology and Health Statistics, Public Health College, Qingdao University, Qingdao, Shandong Province, China
| | - Weijing Wang
- Department of Epidemiology and Health Statistics, Public Health College, Qingdao University, Qingdao, Shandong Province, China
| | - Dongfeng Zhang
- Department of Epidemiology and Health Statistics, Public Health College, Qingdao University, Qingdao, Shandong Province, China
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16
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Peterson MD, Collins S, Meier HC, Brahmsteadt A, Faul JD. Grip strength is inversely associated with DNA methylation age acceleration. J Cachexia Sarcopenia Muscle 2023; 14:108-115. [PMID: 36353822 PMCID: PMC9891916 DOI: 10.1002/jcsm.13110] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 09/06/2022] [Accepted: 09/26/2022] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND There is a large body of evidence linking muscular weakness, as determined by low grip strength, to a host of negative ageing-related health outcomes. Given these links, grip strength has been labelled a 'biomarker of aging'; and yet, the pathways connecting grip strength to negative health consequences are unclear. The objective of this study was to determine whether grip strength was associated with measures of DNA methylation (DNAm) age acceleration. METHODS Middle age and older adults from the 2006 to 2008 waves of the Health and Retirement Study with 8-10 years of follow-up were included. Cross-sectional and longitudinal regression modelling was performed to examine the association between normalized grip strength (NGS) and three measures of DNAm age acceleration, adjusting for cell composition, sociodemographic variables and smoking. Longitudinal modelling was also completed to examine the association between change in absolute grip strength and DNAm age acceleration. The three DNAm clocks used for estimating age acceleration include the established DunedinPoAm, PhenoAge and GrimAge clocks. RESULTS There was a robust and independent cross-sectional association between NGS and DNAm age acceleration for men using the DunedinPoAm (β: -0.36; P < 0.001), PhenoAge (β: -8.27; P = 0.01) and GrimAge (β: -4.56; P = 0.01) clocks and for women using the DunedinPoAm (β: -0.36; P < 0.001) and GrimAge (β: -4.46; P = 0.01) clocks. There was also an independent longitudinal association between baseline NGS and DNAm age acceleration for men (β: -0.26; P < 0.001) and women (β: -0.36; P < 0.001) using the DunedinPoAm clock and for women only using the PhenoAge (β: -8.20; P < 0.001) and GrimAge (β: -5.91; P < 0.001) clocks. Longitudinal modelling revealed a robust association between change in grip strength from wave 1 to wave 3 was independently associated with PhenoAgeAA (β: -0.13; 95% CI: -0.23, -0.03) and GrimAgeAA (β: -0.07; 95% CI: -0.14, -0.01) in men only (both P < 0.05). CONCLUSIONS Our findings provide some initial evidence of age acceleration among men and women with lower NGS and loss of strength over time. Future research is needed to understand the extent to which DNAm age mediates the association between grip strength and chronic disease, disability and mortality.
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Affiliation(s)
- Mark D. Peterson
- Department of Physical Medicine and RehabilitationUniversity of MichiganAnn ArborMIUSA
- Michigan Institute for Health Policy and Innovation (IHPI)Ann ArborMIUSA
- Michigan Center on the Demography of Aging (MiCDA)Ann ArborMIUSA
| | - Stacey Collins
- Survey Research Center, Institute for Social ResearchUniversity of MichiganAnn ArborMIUSA
| | - Helen C.S. Meier
- Michigan Center on the Demography of Aging (MiCDA)Ann ArborMIUSA
- Survey Research Center, Institute for Social ResearchUniversity of MichiganAnn ArborMIUSA
| | - Alexander Brahmsteadt
- Department of Physical Medicine and RehabilitationUniversity of MichiganAnn ArborMIUSA
| | - Jessica D. Faul
- Michigan Center on the Demography of Aging (MiCDA)Ann ArborMIUSA
- Survey Research Center, Institute for Social ResearchUniversity of MichiganAnn ArborMIUSA
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17
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Herranen P, Palviainen T, Rantanen T, Tiainen K, Viljanen A, Kaprio J, Sillanpää E. A Polygenic Risk Score for Hand Grip Strength Predicts Muscle Strength and Proximal and Distal Functional Outcomes among Older Women. Med Sci Sports Exerc 2022; 54:1889-1896. [PMID: 35776845 DOI: 10.1249/mss.0000000000002981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
PURPOSE Hand grip strength (HGS) is a widely used indicator of overall muscle strength and general health. We computed a polygenic risk score (PRS) for HGS and examined whether it predicted muscle strength, functional capacity, and disability outcomes. METHODS Genomewide association study summary statistics for HGS from the Pan-UK Biobank was used. PRS were calculated in the Finnish Twin Study on Aging ( N = 429 women, 63-76 yr). Strength tests included HGS, isometric knee extension, and ankle plantarflexion strength. Functional capacity was examined with the Timed Up and Go, 6-min and 10-m walk tests, and dual-task tests. Disabilities in the basic activities of daily living (ADL) and instrumental ADL (IADL) were investigated with questionnaires. The proportion of variation in outcomes accounted for by PRS HGS was examined using linear mixed models and extended logistic regression. RESULTS The measured HGS increased linearly over increasing PRS ( β = 4.8, SE = 0.93, P < 0.001). PRS HGS independently accounted for 6.1% of the variation in the measured HGS ( β = 14.2, SE = 3.1, P < 0.001), 5.4% of the variation in knee extension strength ( β = 19.6, SE = 4.7, P < 0.001), 1.2% of the variation in ankle plantarflexion strength ( β = 9.4, SE = 4.2, P = 0.027), and 0.1%-1.5% of the variation in functional capacity tests ( P = 0.016-0.133). Further, participants with higher PRS HGS were less likely to have ADL/IADL disabilities (odds ratio = 0.74-0.76). CONCLUSIONS Older women with genetic risk for low muscle strength were significantly weaker than those with genetic susceptibility for high muscle strength. PRS HGS was also systematically associated with overall muscle strength and proximal and distal functional outcomes that require muscle strength.
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Affiliation(s)
- Päivi Herranen
- Gerontology Research Center, Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, FINLAND
| | | | - Taina Rantanen
- Gerontology Research Center, Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, FINLAND
| | - Kristina Tiainen
- Gerontology Research Center, Faculty of Social Sciences, Health Sciences, Tampere University, Tampere, FINLAND
| | - Anne Viljanen
- Gerontology Research Center, Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, FINLAND
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland, Helsinki, FINLAND
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18
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Mazidi M, Davies IG, Penson P, Rikkonen T, Isanejad M. Lifetime serum concentration of 25-hydroxyvitamin D 25(OH) is associated with hand grip strengths: insight from a Mendelian randomisation. Age Ageing 2022; 51:6565794. [PMID: 35397158 PMCID: PMC9122526 DOI: 10.1093/ageing/afac079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Indexed: 11/26/2022] Open
Abstract
Clinical trials have suggested that increased 25-hydroxyvitamin D (25(OH)D) has positive effect on hand grip strength. This Mendelian randomisation (MR) was implemented using summary-level data from the largest genome-wide association studies on vitamin D (n = 73,699) and hand grip strength. Inverse variance weighted method (IVW) was used to estimate the causal estimates. Weighted median (WM)-based method, MR-Egger and leave-one-out were applied as sensitivity analysis. Results showed that genetically higher-serum 25(OH)D levels had a positive effect on both right hand grip (IVW = Beta: 0.038, P = 0.030) and left hand grip (IVW = Beta: 0.034, P = 0.036). There was a low likelihood (statistically insignificant) of heterogeneity and pleiotropy, and the observed associations were not driven by single single-nucleotide polymorphisms. Furthermore, MR pleiotropy residual sum and outlier did not highlight any outliers. In conclusion, our results highlighted the causal and beneficial effect of serum 25(OH) D on right- and left-hand grip strengths.
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Affiliation(s)
- Mohsen Mazidi
- King’s College London, Department of Twin Research & Genetic Epidemiology, South Wing St Thomas', London, UK
| | - Ian G Davies
- School of Sports and Exercise Sciences, Faculty of Science, Liverpool John Moores University, Liverpool L3 3AF, UK
| | - Peter Penson
- School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Liverpool L3 3AF, UK
| | - Toni Rikkonen
- Institute of Life Course and Medical Sciences, Department of Musculoskeletal and Ageing Sciences, University of Liverpool, Liverpool L7 8TX, UK
| | - Masoud Isanejad
- Institute of Life Course and Medical Sciences, Department of Musculoskeletal and Ageing Sciences, University of Liverpool, Liverpool L7 8TX, UK
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Abstract
Sports genomics is the scientific discipline that focuses on the organization and function of the genome in elite athletes, and aims to develop molecular methods for talent identification, personalized exercise training, nutritional need and prevention of exercise-related diseases. It postulates that both genetic and environmental factors play a key role in athletic performance and related phenotypes. This update on the panel of genetic markers (DNA polymorphisms) associated with athlete status and soft-tissue injuries covers advances in research reported in recent years, including one whole genome sequencing (WGS) and four genome-wide association (GWAS) studies, as well as findings from collaborative projects and meta-analyses. At end of 2020, the total number of DNA polymorphisms associated with athlete status was 220, of which 97 markers have been found significant in at least two studies (35 endurance-related, 24 power-related, and 38 strength-related). Furthermore, 29 genetic markers have been linked to soft-tissue injuries in at least two studies. The most promising genetic markers include HFE rs1799945, MYBPC3 rs1052373, NFIA-AS2 rs1572312, PPARA rs4253778, and PPARGC1A rs8192678 for endurance; ACTN3 rs1815739, AMPD1 rs17602729, CPNE5 rs3213537, CKM rs8111989, and NOS3 rs2070744 for power; LRPPRC rs10186876, MMS22L rs9320823, PHACTR1 rs6905419, and PPARG rs1801282 for strength; and COL1A1 rs1800012, COL5A1 rs12722, COL12A1 rs970547, MMP1 rs1799750, MMP3 rs679620, and TIMP2 rs4789932 for soft-tissue injuries. It should be appreciated, however, that hundreds and even thousands of DNA polymorphisms are needed for the prediction of athletic performance and injury risk.
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20
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Antoun E, Garratt ES, Taddei A, Burton MA, Barton SJ, Titcombe P, Westbury LD, Baczynska A, Migliavacca E, Feige JN, Sydall HE, Dennison E, Dodds R, Roberts HC, Richardson P, Sayer AA, Shaw S, Cooper C, Holbrook JD, Patel HP, Godfrey KM, Lillycrop KA. Epigenome-wide association study of sarcopenia: findings from the Hertfordshire Sarcopenia Study (HSS). J Cachexia Sarcopenia Muscle 2022; 13:240-253. [PMID: 34862756 PMCID: PMC8818655 DOI: 10.1002/jcsm.12876] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 09/15/2021] [Accepted: 10/29/2021] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Sarcopenia is the age-related loss of muscle mass, strength, and function. Epigenetic processes such as DNA methylation, which integrate both genetic and environmental exposures, have been suggested to contribute to the development of sarcopenia. This study aimed to determine whether differences in the muscle methylome are associated with sarcopenia and its component measures: grip strength, appendicular lean mass index (ALMi), and gait speed. METHODS Using the Infinium Human MethylationEPIC BeadChip, we measured DNA methylation in vastus lateralis muscle biopsies of 83 male participants (12 with sarcopenia) with a mean (standard deviation) age of 75.7 (3.6) years from the Hertfordshire Sarcopenia Study (HSS) and Hertfordshire Sarcopenia Study extension (HSSe) and examined associations with sarcopenia and its components. Pathway, histone mark, and transcription factor enrichment of the differentially methylated CpGs (dmCpGs) were determined, and sodium bisulfite pyrosequencing was used to validate the sarcopenia-associated dmCpGs. Human primary myoblasts (n = 6) isolated from vastus lateralis muscle biopsies from male individuals from HSSe were treated with the EZH2 inhibitor GSK343 to assess how perturbations in epigenetic processes may impact myoblast differentiation and fusion, measured by PAX7 and MYHC immunocytochemistry, and mitochondrial bioenergetics determined using the Seahorse XF96. RESULTS Sarcopenia was associated with differential methylation at 176 dmCpGs (false discovery rate ≤ 0.05) and 141 differentially methylated regions (Stouffer ≤ 0.05). The sarcopenia-associated dmCpGs were enriched in genes associated with myotube fusion (P = 1.40E-03), oxidative phosphorylation (P = 2.78E-02), and voltage-gated calcium channels (P = 1.59E-04). ALMi was associated with 71 dmCpGs, grip strength with 49 dmCpGs, and gait speed with 23 dmCpGs (false discovery rate ≤ 0.05). There was significant overlap between the dmCpGs associated with sarcopenia and ALMi (P = 3.4E-35), sarcopenia and gait speed (P = 4.78E-03), and sarcopenia and grip strength (P = 7.55E-06). There was also an over-representation of the sarcopenia, ALMi, grip strength, and gait speed-associated dmCpGs with sites of H3K27 trimethylation (all P ≤ 0.05) and amongst EZH2 target genes (all P ≤ 0.05). Furthermore, treatment of human primary myoblasts with the EZH2 inhibitor GSK343 inhibitor led to an increase in PAX7 expression (P ≤ 0.05), decreased myotube fusion (P = 0.043), and an increase in ATP production (P = 0.008), with alterations in the DNA methylation of genes involved in oxidative phosphorylation and myogenesis. CONCLUSIONS These findings show that differences in the muscle methylome are associated with sarcopenia and individual measures of muscle mass, strength, and function in older individuals. This suggests that changes in the epigenetic regulation of genes may contribute to impaired muscle function in later life.
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Affiliation(s)
- Elie Antoun
- Human Development and Health Academic Unit, Faculty of MedicineUniversity of SouthamptonSouthamptonUK
- Biological SciencesUniversity of SouthamptonSouthamptonUK
| | - Emma S. Garratt
- Human Development and Health Academic Unit, Faculty of MedicineUniversity of SouthamptonSouthamptonUK
- NIHR Southampton Biomedical Research CentreUniversity of Southampton & University Hospital Southampton NHS Foundation TrustSouthamptonUK
| | | | - Mark A. Burton
- Human Development and Health Academic Unit, Faculty of MedicineUniversity of SouthamptonSouthamptonUK
| | - Sheila J. Barton
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
| | - Phil Titcombe
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
| | - Leo D. Westbury
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
| | - Alicia Baczynska
- Academic Geriatric Medicine, Faculty of MedicineUniversity of SouthamptonSouthamptonUK
| | | | | | - Holly E. Sydall
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
| | - Elaine Dennison
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
| | - Richard Dodds
- AGE Research Group, Translational and Clinical Research Institute, Faculty of Medical SciencesNewcastle UniversityNewcastle upon TyneUK
- NIHR Newcastle Biomedical Research CentreNewcastle University and Newcastle upon Tyne Hospitals NHS Foundation TrustNewcastle upon TyneUK
| | - Helen C. Roberts
- NIHR Southampton Biomedical Research CentreUniversity of Southampton & University Hospital Southampton NHS Foundation TrustSouthamptonUK
- Academic Geriatric Medicine, Faculty of MedicineUniversity of SouthamptonSouthamptonUK
| | | | - Avan A. Sayer
- AGE Research Group, Translational and Clinical Research Institute, Faculty of Medical SciencesNewcastle UniversityNewcastle upon TyneUK
- NIHR Newcastle Biomedical Research CentreNewcastle University and Newcastle upon Tyne Hospitals NHS Foundation TrustNewcastle upon TyneUK
| | - Sarah Shaw
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
| | - Cyrus Cooper
- NIHR Southampton Biomedical Research CentreUniversity of Southampton & University Hospital Southampton NHS Foundation TrustSouthamptonUK
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
| | | | - Harnish P. Patel
- NIHR Southampton Biomedical Research CentreUniversity of Southampton & University Hospital Southampton NHS Foundation TrustSouthamptonUK
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
- Academic Geriatric Medicine, Faculty of MedicineUniversity of SouthamptonSouthamptonUK
| | - Keith M. Godfrey
- Human Development and Health Academic Unit, Faculty of MedicineUniversity of SouthamptonSouthamptonUK
- NIHR Southampton Biomedical Research CentreUniversity of Southampton & University Hospital Southampton NHS Foundation TrustSouthamptonUK
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
| | - Karen A. Lillycrop
- Human Development and Health Academic Unit, Faculty of MedicineUniversity of SouthamptonSouthamptonUK
- Biological SciencesUniversity of SouthamptonSouthamptonUK
- NIHR Southampton Biomedical Research CentreUniversity of Southampton & University Hospital Southampton NHS Foundation TrustSouthamptonUK
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Kikuchi N, Moreland E, Homma H, Semenova EA, Saito M, Larin AK, Kobatake N, Yusupov RA, Okamoto T, Nakazato K, Williams AG, Generozov EV, Ahmetov II. Genes and Weightlifting Performance. Genes (Basel) 2021; 13:25. [PMID: 35052366 PMCID: PMC8775245 DOI: 10.3390/genes13010025] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Revised: 12/16/2021] [Accepted: 12/22/2021] [Indexed: 11/17/2022] Open
Abstract
A recent case-control study identified 28 DNA polymorphisms associated with strength athlete status. However, studies of genotype-phenotype design are required to support those findings. The aim of the present study was to investigate both individually and in combination the association of 28 genetic markers with weightlifting performance in Russian athletes and to replicate the most significant findings in an independent cohort of Japanese athletes. Genomic DNA was collected from 53 elite Russian (31 men and 22 women, 23.3 ± 4.1 years) and 100 sub-elite Japanese (53 men and 47 women, 21.4 ± 4.2 years) weightlifters, and then genotyped using PCR or micro-array analysis. Out of 28 DNA polymorphisms, LRPPRC rs10186876 A, MMS22L rs9320823 T, MTHFR rs1801131 C, and PHACTR1 rs6905419 C alleles positively correlated (p < 0.05) with weightlifting performance (i.e., total lifts in snatch and clean and jerk in official competitions adjusted for sex and body mass) in Russian athletes. Next, using a polygenic approach, we found that carriers of a high (6-8) number of strength-related alleles had better competition results than carriers of a low (0-5) number of strength-related alleles (264.2 (14.7) vs. 239.1 (21.9) points; p = 0.009). These findings were replicated in the study of Japanese athletes. More specifically, Japanese carriers of a high number of strength-related alleles were stronger than carriers of a low number of strength-related alleles (212.9 (22.6) vs. 199.1 (17.2) points; p = 0.0016). In conclusion, we identified four common gene polymorphisms individually or in combination associated with weightlifting performance in athletes from East European and East Asian geographic ancestries.
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Affiliation(s)
- Naoki Kikuchi
- Graduate School of Health and Sport Science, Nippon Sport Science University, Tokyo 158-8508, Japan; (N.K.); (H.H.); (M.S.); (T.O.); (K.N.)
- Faculty of Sport Science, Nippon Sport Science University, Tokyo 158-8508, Japan;
| | - Ethan Moreland
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool L3 5AF, UK;
| | - Hiroki Homma
- Graduate School of Health and Sport Science, Nippon Sport Science University, Tokyo 158-8508, Japan; (N.K.); (H.H.); (M.S.); (T.O.); (K.N.)
| | - Ekaterina A. Semenova
- Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, 119435 Moscow, Russia; (E.A.S.); (A.K.L.); (E.V.G.)
- Research Institute of Physical Culture and Sport, Volga Region State University of Physical Culture, Sport and Tourism, 420010 Kazan, Russia
| | - Mika Saito
- Graduate School of Health and Sport Science, Nippon Sport Science University, Tokyo 158-8508, Japan; (N.K.); (H.H.); (M.S.); (T.O.); (K.N.)
| | - Andrey K. Larin
- Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, 119435 Moscow, Russia; (E.A.S.); (A.K.L.); (E.V.G.)
| | - Naoyuki Kobatake
- Faculty of Sport Science, Nippon Sport Science University, Tokyo 158-8508, Japan;
| | - Rinat A. Yusupov
- Department of Physical Culture and Sport, Kazan National Research Technical University Named after A.N. Tupolev-KAI, 420111 Kazan, Russia;
| | - Takanobu Okamoto
- Graduate School of Health and Sport Science, Nippon Sport Science University, Tokyo 158-8508, Japan; (N.K.); (H.H.); (M.S.); (T.O.); (K.N.)
- Faculty of Sport Science, Nippon Sport Science University, Tokyo 158-8508, Japan;
| | - Koichi Nakazato
- Graduate School of Health and Sport Science, Nippon Sport Science University, Tokyo 158-8508, Japan; (N.K.); (H.H.); (M.S.); (T.O.); (K.N.)
- Faculty of Medical Science, Nippon Sport Science University, Tokyo 158-8508, Japan
| | - Alun G. Williams
- Sports Genomics Laboratory, Department of Sport and Exercise Sciences, Manchester Metropolitan University, Manchester M15 6BH, UK;
- Institute of Sport, Exercise and Health, University College London, London W1T 7HA, UK
| | - Edward V. Generozov
- Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, 119435 Moscow, Russia; (E.A.S.); (A.K.L.); (E.V.G.)
| | - Ildus I. Ahmetov
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool L3 5AF, UK;
- Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, 119435 Moscow, Russia; (E.A.S.); (A.K.L.); (E.V.G.)
- Department of Physical Education, Plekhanov Russian University of Economics, 115093 Moscow, Russia
- Laboratory of Molecular Genetics, Kazan State Medical University, 420012 Kazan, Russia
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22
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Abstract
Human physiology is likely to have been selected for endurance physical activity. However, modern humans have become largely sedentary, with physical activity becoming a leisure-time pursuit for most. Whereas inactivity is a strong risk factor for disease, regular physical activity reduces the risk of chronic disease and mortality. Although substantial epidemiological evidence supports the beneficial effects of exercise, comparatively little is known about the molecular mechanisms through which these effects operate. Genetic and genomic analyses have identified genetic variation associated with human performance and, together with recent proteomic, metabolomic and multi-omic analyses, are beginning to elucidate the molecular genetic mechanisms underlying the beneficial effects of physical activity on human health.
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Affiliation(s)
- Daniel Seung Kim
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Matthew T Wheeler
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.,Stanford Cardiovascular Institute, Stanford University, Stanford, CA, USA
| | - Euan A Ashley
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA. .,Stanford Cardiovascular Institute, Stanford University, Stanford, CA, USA. .,Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA. .,Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA.
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23
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Santanasto AJ, Wojczynski MK, Cvejkus RK, Lin S, Wang L, Thyagarajan B, Christensen K, Schupf N, Feitosa MF, An P, Zmuda JM. Identification of a Novel Locus for Gait Speed Decline With Aging: The Long Life Family Study. J Gerontol A Biol Sci Med Sci 2021; 76:e307-e313. [PMID: 34156441 PMCID: PMC8436996 DOI: 10.1093/gerona/glab177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Gait speed is a powerful indicator of health with aging. Potential genetic contributions to gait speed and its decline with aging are not well defined. We determined the heritability of and potential genetic regions underlying change in gait speed using longitudinal data from 2379 individuals belonging to 509 families in the Long Life Family Study (mean age 64 ± 12, range 30-110 years; 45% men). METHODS Gait speed was measured over 4 m at baseline and follow-up (7 ± 1 years). Quantitative trait linkage analyses were completed using pedigree-based maximum likelihood methods with logarithm of the odds (LOD) scores greater than 3.0, indicating genome-wide significance. We also performed linkage analysis in the top 10% of families contributing to LOD scores to allow for heterogeneity among families (HLOD). Data were adjusted for age, sex, height, and field center. RESULTS At baseline, 26.9% of individuals had "slow" gait speed less than 1.0 m/s (mean: 1.1 ± 0.2 m/s) and gait speed declined at a rate of -0.02 ± 0.03 m/s per year (p < .0001). Baseline and change in gait speed were significantly heritable (h2 = 0.24-0.32, p < .05). We did not find significant evidence for linkage for baseline gait speed; however, we identified a significant locus for change in gait speed on chromosome 16p (LOD = 4.2). A subset of 21 families contributed to this linkage peak (HLOD = 6.83). Association analyses on chromosome 16 showed that the strongest variant resides within the ADCY9 gene. CONCLUSION Further analysis of the chromosome 16 region, and ADCY9 gene, may yield new insight on the biology of mobility decline with aging.
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Affiliation(s)
- Adam J Santanasto
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pennsylvania, USA
| | - Mary K Wojczynski
- Department of Genetics, Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Ryan K Cvejkus
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pennsylvania, USA
| | - Shiow Lin
- Department of Genetics, Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Lihua Wang
- Department of Genetics, Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Bharat Thyagarajan
- Department of Laboratory Medicine and Pathology, School of Medicine, University of Minnesota, Minneapolis, USA
| | - Kaare Christensen
- The Danish Aging Research Center, Epidemiology Unit, Institute of Public Health, University of Southern Denmark, Odense, Denmark
| | - Nicole Schupf
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, USA
| | - Mary F Feitosa
- Department of Genetics, Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Ping An
- Department of Genetics, Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Joseph M Zmuda
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pennsylvania, USA
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24
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Azam S, Haque ME, Balakrishnan R, Kim IS, Choi DK. The Ageing Brain: Molecular and Cellular Basis of Neurodegeneration. Front Cell Dev Biol 2021; 9:683459. [PMID: 34485280 PMCID: PMC8414981 DOI: 10.3389/fcell.2021.683459] [Citation(s) in RCA: 81] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Accepted: 07/14/2021] [Indexed: 12/12/2022] Open
Abstract
Ageing is an inevitable event in the lifecycle of all organisms, characterized by progressive physiological deterioration and increased vulnerability to death. Ageing has also been described as the primary risk factor of most neurodegenerative diseases, including Alzheimer's disease (AD), Parkinson's disease (PD), Huntington's disease (HD), and frontotemporal lobar dementia (FTD). These neurodegenerative diseases occur more prevalently in the aged populations. Few effective treatments have been identified to treat these epidemic neurological crises. Neurodegenerative diseases are associated with enormous socioeconomic and personal costs. Here, the pathogenesis of AD, PD, and other neurodegenerative diseases has been presented, including a summary of their known associations with the biological hallmarks of ageing: genomic instability, telomere attrition, epigenetic alterations, loss of proteostasis, mitochondrial dysfunction, cellular senescence, deregulated nutrient sensing, stem cell exhaustion, and altered intercellular communications. Understanding the central biological mechanisms that underlie ageing is important for identifying novel therapeutic targets for neurodegenerative diseases. Potential therapeutic strategies, including the use of NAD+ precursors, mitophagy inducers, and inhibitors of cellular senescence, has also been discussed.
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Affiliation(s)
- Shofiul Azam
- Department of Applied Life Sciences, Graduate School, BK21 Program, Konkuk University, Chungju-si, South Korea
| | - Md. Ezazul Haque
- Department of Applied Life Sciences, Graduate School, BK21 Program, Konkuk University, Chungju-si, South Korea
| | - Rengasamy Balakrishnan
- Department of Applied Life Sciences, Graduate School, BK21 Program, Konkuk University, Chungju-si, South Korea
| | - In-Su Kim
- Department of Biotechnology, College of Biomedical and Health Science, Research Institute of Inflammatory Disease (RID), Konkuk University, Chungju-si, South Korea
| | - Dong-Kug Choi
- Department of Applied Life Sciences, Graduate School, BK21 Program, Konkuk University, Chungju-si, South Korea
- Department of Biotechnology, College of Biomedical and Health Science, Research Institute of Inflammatory Disease (RID), Konkuk University, Chungju-si, South Korea
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25
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Sarnowski C, Chen H, Biggs ML, Wassertheil-Smoller S, Bressler J, Irvin MR, Ryan KA, Karasik D, Arnett DK, Cupples LA, Fardo DW, Gogarten SM, Heavner BD, Jain D, Kang HM, Kooperberg C, Mainous AG, Mitchell BD, Morrison AC, O’Connell JR, Psaty BM, Rice K, Smith AV, Vasan RS, Windham BG, Kiel DP, Murabito JM, Lunetta KL. Identification of novel and rare variants associated with handgrip strength using whole genome sequence data from the NHLBI Trans-Omics in Precision Medicine (TOPMed) Program. PLoS One 2021; 16:e0253611. [PMID: 34214102 PMCID: PMC8253404 DOI: 10.1371/journal.pone.0253611] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Accepted: 06/08/2021] [Indexed: 12/15/2022] Open
Abstract
Handgrip strength is a widely used measure of muscle strength and a predictor of a range of morbidities including cardiovascular diseases and all-cause mortality. Previous genome-wide association studies of handgrip strength have focused on common variants primarily in persons of European descent. We aimed to identify rare and ancestry-specific genetic variants associated with handgrip strength by conducting whole-genome sequence association analyses using 13,552 participants from six studies representing diverse population groups from the Trans-Omics in Precision Medicine (TOPMed) Program. By leveraging multiple handgrip strength measures performed in study participants over time, we increased our effective sample size by 7-12%. Single-variant analyses identified ten handgrip strength loci among African-Americans: four rare variants, five low-frequency variants, and one common variant. One significant and four suggestive genes were identified associated with handgrip strength when aggregating rare and functional variants; all associations were ancestry-specific. We additionally leveraged the different ancestries available in the UK Biobank to further explore the ancestry-specific association signals from the single-variant association analyses. In conclusion, our study identified 11 new loci associated with handgrip strength with rare and/or ancestry-specific genetic variations, highlighting the added value of whole-genome sequencing in diverse samples. Several of the associations identified using single-variant or aggregate analyses lie in genes with a function relevant to the brain or muscle or were reported to be associated with muscle or age-related traits. Further studies in samples with sequence data and diverse ancestries are needed to confirm these findings.
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Affiliation(s)
- Chloé Sarnowski
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States of America
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, United States of America
| | - Han Chen
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, United States of America
- Center for Precision Health, School of Public Health and School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States of America
| | - Mary L. Biggs
- Cardiovascular Health Unit, Department of Medicine, University of Washington, Seattle, WA, United States of America
- Department of Biostatistics, University of Washington, Seattle, WA, United States of America
| | - Sylvia Wassertheil-Smoller
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States of America
| | - Jan Bressler
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, United States of America
| | - Marguerite R. Irvin
- Department of Epidemiology, University of Alabama at Birmingham School of Public Health, Birmingham, AL, United States of America
| | - Kathleen A. Ryan
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, United States of America
| | - David Karasik
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, United States of America
- Azrieli Faculty of Medicine, Bar Ilan University, Safed, Israel
| | - Donna K. Arnett
- University of Kentucky, College of Public Health, Lexington, KY, United States of America
| | - L. Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States of America
- National Heart Lung and Blood Institute and Boston University’s Framingham Heart Study, Framingham, MA, United States of America
| | - David W. Fardo
- Department of Biostatistics and Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, United States of America
| | - Stephanie M. Gogarten
- Department of Biostatistics, University of Washington, Seattle, WA, United States of America
| | - Benjamin D. Heavner
- Department of Biostatistics, University of Washington, Seattle, WA, United States of America
| | - Deepti Jain
- Department of Biostatistics, University of Washington, Seattle, WA, United States of America
| | - Hyun Min Kang
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, United States of America
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
| | - Arch G. Mainous
- Department of Health Services Research, Management and Policy, University of Florida, Gainesville, FL, United States of America
| | - Braxton D. Mitchell
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, United States of America
- Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, MD, United States of America
| | - Alanna C. Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, United States of America
| | - Jeffrey R. O’Connell
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, United States of America
| | - Bruce M. Psaty
- Cardiovascular Health Unit, Department of Medicine, University of Washington, Seattle, WA, United States of America
- Departments of Epidemiology and Health Services, University of Washington, Seattle, WA, United States of America
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, United States of America
| | - Kenneth Rice
- Department of Biostatistics, University of Washington, Seattle, WA, United States of America
| | - Albert V. Smith
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, United States of America
| | - Ramachandran S. Vasan
- National Heart Lung and Blood Institute and Boston University’s Framingham Heart Study, Framingham, MA, United States of America
- Section of Preventive Medicine and Epidemiology, Evans Department of Medicine, Boston University School of Medicine, Boston, MA, United States of America
- Whitaker Cardiovascular Institute and Cardiology Section, Evans Department of Medicine, Boston University School of Medicine, Boston, MA, United States of America
| | - B. Gwen Windham
- The MIND Center, University of Mississippi Medical Center, Jackson, MS, United States of America
| | - Douglas P. Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, United States of America
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States of America
- Broad Institute of Harvard & MIT, Cambridge, MA, United States of America
| | - Joanne M. Murabito
- National Heart Lung and Blood Institute and Boston University’s Framingham Heart Study, Framingham, MA, United States of America
- Section of General Internal Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, United States of America
| | - Kathryn L. Lunetta
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States of America
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Jones G, Trajanoska K, Santanasto AJ, Stringa N, Kuo CL, Atkins JL, Lewis JR, Duong T, Hong S, Biggs ML, Luan J, Sarnowski C, Lunetta KL, Tanaka T, Wojczynski MK, Cvejkus R, Nethander M, Ghasemi S, Yang J, Zillikens MC, Walter S, Sicinski K, Kague E, Ackert-Bicknell CL, Arking DE, Windham BG, Boerwinkle E, Grove ML, Graff M, Spira D, Demuth I, van der Velde N, de Groot LCPGM, Psaty BM, Odden MC, Fohner AE, Langenberg C, Wareham NJ, Bandinelli S, van Schoor NM, Huisman M, Tan Q, Zmuda J, Mellström D, Karlsson M, Bennett DA, Buchman AS, De Jager PL, Uitterlinden AG, Völker U, Kocher T, Teumer A, Rodriguéz-Mañas L, García FJ, Carnicero JA, Herd P, Bertram L, Ohlsson C, Murabito JM, Melzer D, Kuchel GA, Ferrucci L, Karasik D, Rivadeneira F, Kiel DP, Pilling LC. Genome-wide meta-analysis of muscle weakness identifies 15 susceptibility loci in older men and women. Nat Commun 2021; 12:654. [PMID: 33510174 PMCID: PMC7844411 DOI: 10.1038/s41467-021-20918-w] [Citation(s) in RCA: 77] [Impact Index Per Article: 25.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 12/22/2020] [Indexed: 02/07/2023] Open
Abstract
Low muscle strength is an important heritable indicator of poor health linked to morbidity and mortality in older people. In a genome-wide association study meta-analysis of 256,523 Europeans aged 60 years and over from 22 cohorts we identify 15 loci associated with muscle weakness (European Working Group on Sarcopenia in Older People definition: n = 48,596 cases, 18.9% of total), including 12 loci not implicated in previous analyses of continuous measures of grip strength. Loci include genes reportedly involved in autoimmune disease (HLA-DQA1 p = 4 × 10-17), arthritis (GDF5 p = 4 × 10-13), cell cycle control and cancer protection, regulation of transcription, and others involved in the development and maintenance of the musculoskeletal system. Using Mendelian randomization we report possible overlapping causal pathways, including diabetes susceptibility, haematological parameters, and the immune system. We conclude that muscle weakness in older adults has distinct mechanisms from continuous strength, including several pathways considered to be hallmarks of ageing.
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Affiliation(s)
- Garan Jones
- Epidemiology and Public Health Group, Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Katerina Trajanoska
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Adam J Santanasto
- University of Pittsburgh, Department of Epidemiology, Pittsburgh, PA, USA
| | - Najada Stringa
- Department of Epidemiology and Biostatistics, Amsterdam UMC- Vrije Universiteit, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Chia-Ling Kuo
- Biostatistics Center, Connecticut Convergence Institute for Translation in Regenerative Engineering, UConn Health, Farmington, CT, USA
| | - Janice L Atkins
- Epidemiology and Public Health Group, Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Joshua R Lewis
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- School fo Public Health University of Sydney, Sydney, NSW, Australia
- Medical School, University of Western Australia, Crawley, WA, Australia
| | - ThuyVy Duong
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Shengjun Hong
- Lübeck Interdisciplinary Plattform for Genome Analytics, Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Lübeck, Germany
| | - Mary L Biggs
- Cardiovascular Health Research Unit, Department of Medicine, and Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Jian'an Luan
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0QQ, UK
| | - Chloe Sarnowski
- Biostatistics Department, Boston University School of Public Health, Boston, MA, USA
| | - Kathryn L Lunetta
- Biostatistics Department, Boston University School of Public Health, Boston, MA, USA
| | - Toshiko Tanaka
- Longitudinal Study Section, Translational Gerontology branch, National Institute on Aging, Baltimore, MD, USA
| | - Mary K Wojczynski
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Ryan Cvejkus
- University of Pittsburgh, Department of Epidemiology, Pittsburgh, PA, USA
| | - Maria Nethander
- Centre for Bone and Arthritis Research, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Bioinformatics Core Facility, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Sahar Ghasemi
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Jingyun Yang
- Rush Alzheimer's Disease Center & Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - M Carola Zillikens
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Stefan Walter
- Department of Medicine and Public Health, Rey Juan Carlos University, Madrid, Spain
- CIBER of Frailty and Healthy Aging (CIBERFES), Madrid, Spain
| | - Kamil Sicinski
- Center for Demography of Health and Aging, University of Wisconsin-Madison, Madison, WI, USA
| | - Erika Kague
- School of Physiology, Pharmacology and Neuroscience, University of Bristol, Bristol, UK
| | | | - Dan E Arking
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - B Gwen Windham
- Department of Medicine/Geriatrics, University of Mississippi School of Medicine, Jackson, MS, USA
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Megan L Grove
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Misa Graff
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, 27516, USA
| | - Dominik Spira
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Berlin Institute of Health, Department of Endocrinology and Metabolism, Berlin, Germany
| | - Ilja Demuth
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Berlin Institute of Health, Department of Endocrinology and Metabolism, Berlin, Germany
- Charité - Universitätsmedizin Berlin, BCRT - Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany
| | - Nathalie van der Velde
- Department of Internal Medicine, Section of Geriatric Medicine, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Lisette C P G M de Groot
- Wageningen University, Division of Human Nutrition, PO-box 17, 6700 AA, Wageningen, The Netherlands
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health services, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Michelle C Odden
- Department of Epidemiology and Population Health, Stanford University, Stanford, CA, USA
| | - Alison E Fohner
- Department of Epidemiology and Institute of Public Genetics, University of Washington, Seattle, WA, USA
| | - Claudia Langenberg
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0QQ, UK
| | - Nicholas J Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0QQ, UK
| | | | - Natasja M van Schoor
- Department of Epidemiology and Biostatistics, Amsterdam UMC- Vrije Universiteit, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Martijn Huisman
- Department of Epidemiology and Biostatistics, Amsterdam UMC- Vrije Universiteit, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Qihua Tan
- Epidemiology and Biostatistics, Department of Public Health, Faculty of Health Science, University of Southern Denmark, Odense, Denmark
| | - Joseph Zmuda
- University of Pittsburgh, Department of Epidemiology, Pittsburgh, PA, USA
| | - Dan Mellström
- Centre for Bone and Arthritis Research, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Geriatric Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Magnus Karlsson
- Clinical and Molecular Osteoporosis Research Unit, Department of Orthopedics and Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | - David A Bennett
- Rush Alzheimer's Disease Center & Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Aron S Buchman
- Rush Alzheimer's Disease Center & Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Philip L De Jager
- Center for Translational and Systems Neuroimmunology, Department of Neurology, Columbia University Medical Center, New York, NY, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Andre G Uitterlinden
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Uwe Völker
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Thomas Kocher
- Department of Restorative Dentistry, Periodontology, Endodontology, and Preventive and Pediatric Dentistry, University Medicine Greifswald, Greifswald, Germany
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Leocadio Rodriguéz-Mañas
- CIBER of Frailty and Healthy Aging (CIBERFES), Madrid, Spain
- Department of Geriatrics, Getafe University Hospital, Getafe, Spain
| | - Francisco J García
- CIBER of Frailty and Healthy Aging (CIBERFES), Madrid, Spain
- Department of Geriatrics, Hospital Virgen del Valle, Complejo Hospitalario de Toledo, Toledo, Spain
| | | | - Pamela Herd
- Professor of Public Policy, Georgetown University, Washington, DC, USA
| | - Lars Bertram
- Lübeck Interdisciplinary Plattform for Genome Analytics, Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Lübeck, Germany
| | - Claes Ohlsson
- Centre for Bone and Arthritis Research, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Sahlgrenska University Hospital, Department of Drug Treatment, Gothenburg, Sweden
| | - Joanne M Murabito
- Section of General Internal Medicine, Boston University School of Medicine, Boston, MA, USA
| | - David Melzer
- Epidemiology and Public Health Group, Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - George A Kuchel
- Center on Aging, University of Connecticut Health, 263 Farmington Avenue, Farmington, CT, 06030, USA
| | | | - David Karasik
- Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA
- Azrieli Faculty of Medicine, Bar Ilan University, Safed, Israel
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Douglas P Kiel
- Marcus Institute for Aging Research, Hebrew SeniorLife and Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Broad Institute of MIT & Harvard, Boston, MA, USA
| | - Luke C Pilling
- Epidemiology and Public Health Group, Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK.
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Ganmore I, Elkayam I, Ravona-Springer R, Lin HM, Liu X, Plotnik M, Buchman AS, Berman Y, Schwartz J, Sano M, Heymann A, Beeri MS. Deterioration in Motor Function Over Time in Older Adults With Type 2 Diabetes is Associated with Accelerated Cognitive Decline. Endocr Pract 2021; 26:1143-1152. [PMID: 33471716 DOI: 10.4158/ep-2020-0289] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 06/07/2020] [Indexed: 02/06/2023]
Abstract
OBJECTIVE Type 2 diabetes (T2D) is associated with motor impairments and a higher dementia risk. The relationships of motor decline with cognitive decline in T2D older adults has rarely been studied. Using data from the Israel Diabetes and Cognitive Decline study (N = 892), we examined associations of decline in motor function with cognitive decline over a 54-month period. METHODS Motor function measures were strength (handgrip) and gait speed (time to walk 3 m). Participants completed a neuropsychologic battery of 13 tests transformed into z-scores, summarized into 4 cognitive domains: episodic memory, attention/working memory, executive functions, and language/semantic categorization. The average of the 4 domains' z-scores defined global cognition. Motor and cognitive functions were assessed in 18-months intervals. A random coefficients model delineated longitudinal relationships of cognitive decline with baseline and change from baseline in motor function, adjusting for sociodemographic, cardiovascular, and T2D-related covariates. RESULTS Slower baseline gait speed levels were significantly associated with more rapid decline in global cognition (P = .004), language/semantic categorization (P = .006) and episodic memory (P = .029). Greater decline over time in gait speed was associated with an accelerated rate of decline in global cognition (P = .050), attention/working memory (P = .047) and language/semantic categorization (P<.001). Baseline strength levels were not associated with cognitive decline but the rate of declining strength was associated with an accelerated decline in executive functions (P = .025) and language/semantic categorization (P = .006). CONCLUSION In T2D older adults, the rate of decline in motor function, beyond baseline levels, was associated with accelerated cognitive decline, suggesting that cognitive and motor decline share common neuropathologic mechanisms in T2D.
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Affiliation(s)
- Ithamar Ganmore
- From the Joseph Sagol Neuroscience Center, Sheba Medical Center, Israel
| | - Isak Elkayam
- the Sackler Faculty of Medicine, Tel Aviv University, Israel
| | - Ramit Ravona-Springer
- From the Joseph Sagol Neuroscience Center, Sheba Medical Center, Israel; the Sackler Faculty of Medicine, Tel Aviv University, Israel
| | - Hung-Mo Lin
- the Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York
| | - Xiaoyu Liu
- the Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York
| | - Meir Plotnik
- the Center for Advanced Technologies in Rehabilitation, Sheba Medical Center, Israel
| | - Aron S Buchman
- the Rush Alzheimer's Disease Center, Rush University, Illinois
| | - Yuval Berman
- From the Joseph Sagol Neuroscience Center, Sheba Medical Center, Israel
| | - Jonathan Schwartz
- From the Joseph Sagol Neuroscience Center, Sheba Medical Center, Israel
| | - Mary Sano
- the Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York
| | - Anthony Heymann
- the Sackler Faculty of Medicine, Tel Aviv University, Israel; the Maccabi Health Services, Israel
| | - Michal Schnaider Beeri
- From the Joseph Sagol Neuroscience Center, Sheba Medical Center, Israel; the Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York.
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28
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Moreland E, Borisov OV, Semenova EA, Larin AK, Andryushchenko ON, Andryushchenko LB, Generozov EV, Williams AG, Ahmetov II. Polygenic Profile of Elite Strength Athletes. J Strength Cond Res 2020; 36:2509-2514. [DOI: 10.1519/jsc.0000000000003901] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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29
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Kiel DP, Kemp JP, Rivadeneira F, Westendorf JJ, Karasik D, Duncan EL, Imai Y, Müller R, Flannick J, Bonewald L, Burtt N. The Musculoskeletal Knowledge Portal: Making Omics Data Useful to the Broader Scientific Community. J Bone Miner Res 2020; 35:1626-1633. [PMID: 32777102 PMCID: PMC8114232 DOI: 10.1002/jbmr.4147] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Revised: 07/30/2020] [Accepted: 07/30/2020] [Indexed: 12/15/2022]
Abstract
The development of high-throughput genotyping technologies and large biobank collections, complemented with rapid methodological advances in statistical genetics, has enabled hypothesis-free genome-wide association studies (GWAS), which have identified hundreds of genetic variants across many loci associated with musculoskeletal conditions. Similarly, basic scientists have valuable molecular cellular and animal data based on musculoskeletal disease that would be enhanced by being able to determine the human translation of their findings. By integrating these large-scale human genomic musculoskeletal datasets with complementary evidence from model organisms, new and existing genetic loci can be statistically fine-mapped to plausibly causal variants, candidate genes, and biological pathways. Genes and pathways identified using this approach can be further prioritized as drug targets, including side-effect profiling and the potential for new indications. To bring together these big data, and to realize the vision of creating a knowledge portal, the International Federation of Musculoskeletal Research Societies (IFMRS) established a working group to collaborate with scientists from the Broad Institute to create the Musculoskeletal Knowledge Portal (MSK-KP)(http://mskkp.org/). The MSK consolidates omics datasets from humans, cellular experiments, and model organisms into a central repository that can be accessed by researchers. The vision of the MSK-KP is to enable better understanding of the biological mechanisms underlying musculoskeletal disease and apply this knowledge to identify and develop new disease interventions. © 2020 American Society for Bone and Mineral Research (ASBMR).
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Affiliation(s)
- Douglas P Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife Boston, MA, USA.,Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA.,Broad Institute of MIT & Harvard, Boston and Cambridge, MA, USA
| | - John P Kemp
- The University of Queensland Diamantina Institute, University of Queensland, Woolloongabba, QLD 4102, Australia.,Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | | | - David Karasik
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife Boston, MA, USA.,Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel
| | - Emma L Duncan
- Department of Twin Research & Genetic Epidemiology, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College, London, UK
| | - Yuuki Imai
- Division of Integrated Pathophysiology, Proteo-Science Center, Department of Pathophysiology, Graduate School of Medicine, and Division of Laboratory Animal Research, Advanced Research Support Center, Ehime University, Toon, Ehime, Japan
| | - Ralph Müller
- Institute for Biomechanics, ETH Zurich, Zurich, Switzerland
| | - Jason Flannick
- Harvard Medical School, Boston, MA, USA.,Division of Genetics and Genomics at Boston Children's Hospital, Boston, MA, USA
| | - Lynda Bonewald
- Indiana Center for Musculoskeletal Health, Indiana University, Indianapolis, IN, USA
| | - Noël Burtt
- Broad Institute of MIT & Harvard, Boston and Cambridge, MA, USA
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30
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Crossland H, Piasecki J, McCormick D, Phillips BE, Wilkinson DJ, Smith K, McPhee JS, Piasecki M, Atherton PJ. Targeted genotype analyses of GWAS-derived lean body mass and handgrip strength-associated single-nucleotide polymorphisms in elite master athletes. Am J Physiol Regul Integr Comp Physiol 2020; 319:R184-R194. [PMID: 32579386 PMCID: PMC7473897 DOI: 10.1152/ajpregu.00110.2020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 06/18/2020] [Accepted: 06/18/2020] [Indexed: 01/24/2023]
Abstract
Recent large genome-wide association studies (GWAS) have independently identified a set of genetic loci associated with lean body mass (LBM) and handgrip strength (HGS). Evaluation of these candidate single-nucleotide polymorphisms (SNPs) may be useful to investigate genetic traits of populations at higher or lower risk of muscle dysfunction. As such, we investigated associations between six SNPs linked to LBM or HGS in a population of elite master athletes (MA) and age-matched controls as a representative population of older individuals with variable maintenance of muscle mass and function. Genomic DNA was isolated from buffy coat samples of 96 individuals [consisting of 48 MA (71 ± 6 yr, age-graded performance 83 ± 9%) and 48 older controls (75 ± 6 yr)]. SNP validation and sample genotyping were conducted using the tetra-primer amplification refractory mutation system (ARMS). For the three SNPs analyzed that were previously associated with LBM (FTO, IRS1, and ADAMTSL3), multinomial logistic regression revealed a significant association of the ADAMTSL3 genotype with %LBM (P < 0.01). For the three HGS-linked SNPs, neither GBF1 nor GLIS1 showed any association with HGS, but for TGFA, multinomial logistic regression revealed a significant association of genotype with HGS (P < 0.05). For ADAMTSL3, there was an enrichment of the effect allele in the MA (P < 0.05, Fisher's exact test). Collectively, of the six SNPs analyzed, ADAMTSL3 and TGFA showed significant associations with LBM and HGS, respectively. The functional relevance of the ADAMTSL3 SNP in body composition and of TGFA in strength may highlight a genetic component of the elite MA phenotype.
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Affiliation(s)
- Hannah Crossland
- Medical Research Council Versus Arthritis Centre for Musculoskeletal Ageing Research and National Institute of Health Research Nottingham Biomedical Research Centre, University of Nottingham, Royal Derby Hospital Centre, Nottingham, United Kingdom
| | - Jessica Piasecki
- Musculoskeletal Physiology Research Group, Sport, Health and Performance Enhancement Research Centre, School of Science and Technology, Nottingham Trent University, Nottingham, United Kingdom
| | - Daniel McCormick
- Medical Research Council Versus Arthritis Centre for Musculoskeletal Ageing Research and National Institute of Health Research Nottingham Biomedical Research Centre, University of Nottingham, Royal Derby Hospital Centre, Nottingham, United Kingdom
| | - Bethan E Phillips
- Medical Research Council Versus Arthritis Centre for Musculoskeletal Ageing Research and National Institute of Health Research Nottingham Biomedical Research Centre, University of Nottingham, Royal Derby Hospital Centre, Nottingham, United Kingdom
| | - Daniel J Wilkinson
- Medical Research Council Versus Arthritis Centre for Musculoskeletal Ageing Research and National Institute of Health Research Nottingham Biomedical Research Centre, University of Nottingham, Royal Derby Hospital Centre, Nottingham, United Kingdom
| | - Kenneth Smith
- Medical Research Council Versus Arthritis Centre for Musculoskeletal Ageing Research and National Institute of Health Research Nottingham Biomedical Research Centre, University of Nottingham, Royal Derby Hospital Centre, Nottingham, United Kingdom
| | - Jamie S McPhee
- Department of Sport and Exercise Sciences, Faculty of Science and Engineering, Manchester Metropolitan University, Manchester, United Kingdom
| | - Mathew Piasecki
- Medical Research Council Versus Arthritis Centre for Musculoskeletal Ageing Research and National Institute of Health Research Nottingham Biomedical Research Centre, University of Nottingham, Royal Derby Hospital Centre, Nottingham, United Kingdom
| | - Philip J Atherton
- Medical Research Council Versus Arthritis Centre for Musculoskeletal Ageing Research and National Institute of Health Research Nottingham Biomedical Research Centre, University of Nottingham, Royal Derby Hospital Centre, Nottingham, United Kingdom
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31
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Abstract
Sarcopenia – the accelerated age-related loss of muscle mass and function – is an under-diagnosed condition, and is central to deteriorating mobility, disability and frailty in older age. There is a lack of treatment options for older adults at risk of sarcopenia. Although sarcopenia's pathogenesis is multifactorial, its major phenotypes – muscle mass and muscle strength – are highly heritable. Several genome-wide association studies of muscle-related traits were published recently, providing dozens of candidate genes, many with unknown function. Therefore, animal models are required not only to identify causal mechanisms, but also to clarify the underlying biology and translate this knowledge into new interventions. Over the past several decades, small teleost fishes had emerged as powerful systems for modeling the genetics of human diseases. Owing to their amenability to rapid genetic intervention and the large number of conserved genetic and physiological features, small teleosts – such as zebrafish, medaka and killifish – have become indispensable for skeletal muscle genomic studies. The goal of this Review is to summarize evidence supporting the utility of small fish models for accelerating our understanding of human skeletal muscle in health and disease. We do this by providing a basic foundation of the (zebra)fish skeletal muscle morphology and physiology, and evidence of muscle-related gene homology. We also outline challenges in interpreting zebrafish mutant phenotypes and in translating them to human disease. Finally, we conclude with recommendations on future directions to leverage the large body of tools developed in small fish for the needs of genomic exploration in sarcopenia. Summary: Zebrafish and other small fish have become powerful disease models. Here, we summarize the evidence for the utility of small teleost models for genetic research in sarcopenia – the age-related loss of muscle mass and function.
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Affiliation(s)
- Alon Daya
- The Faculty of Marine Sciences, Ruppin Academic Center, Michmoret 40297, Israel
| | - Rajashekar Donaka
- The Musculoskeletal Genetics Laboratory, The Azrieli Faculty of Medicine, Bar-Ilan University, Safed 130010, Israel
| | - David Karasik
- The Musculoskeletal Genetics Laboratory, The Azrieli Faculty of Medicine, Bar-Ilan University, Safed 130010, Israel .,Hebrew SeniorLife, Hinda and Arthur Marcus Institute for Aging Research, Boston, MA 02131, USA
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32
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Abstract
The past two centuries have witnessed an unprecedented rise in human life expectancy. Sustaining longer lives with reduced periods of disability will require an understanding of the underlying mechanisms of ageing, and genetics is a powerful tool for identifying these mechanisms. Large-scale genome-wide association studies have recently identified many loci that influence key human ageing traits, including lifespan. Multi-trait loci have been linked with several age-related diseases, suggesting shared ageing influences. Mutations that drive accelerated ageing in prototypical progeria syndromes in humans point to an important role for genome maintenance and stability. Together, these different strands of genetic research are highlighting pathways for the discovery of anti-ageing interventions that may be applicable in humans.
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33
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Migliavacca E, Tay SKH, Patel HP, Sonntag T, Civiletto G, McFarlane C, Forrester T, Barton SJ, Leow MK, Antoun E, Charpagne A, Seng Chong Y, Descombes P, Feng L, Francis-Emmanuel P, Garratt ES, Giner MP, Green CO, Karaz S, Kothandaraman N, Marquis J, Metairon S, Moco S, Nelson G, Ngo S, Pleasants T, Raymond F, Sayer AA, Ming Sim C, Slater-Jefferies J, Syddall HE, Fang Tan P, Titcombe P, Vaz C, Westbury LD, Wong G, Yonghui W, Cooper C, Sheppard A, Godfrey KM, Lillycrop KA, Karnani N, Feige JN. Mitochondrial oxidative capacity and NAD + biosynthesis are reduced in human sarcopenia across ethnicities. Nat Commun 2019; 10:5808. [PMID: 31862890 PMCID: PMC6925228 DOI: 10.1038/s41467-019-13694-1] [Citation(s) in RCA: 136] [Impact Index Per Article: 27.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Accepted: 11/15/2019] [Indexed: 01/03/2023] Open
Abstract
The causes of impaired skeletal muscle mass and strength during aging are well-studied in healthy populations. Less is known on pathological age-related muscle wasting and weakness termed sarcopenia, which directly impacts physical autonomy and survival. Here, we compare genome-wide transcriptional changes of sarcopenia versus age-matched controls in muscle biopsies from 119 older men from Singapore, Hertfordshire UK and Jamaica. Individuals with sarcopenia reproducibly demonstrate a prominent transcriptional signature of mitochondrial bioenergetic dysfunction in skeletal muscle, with low PGC-1α/ERRα signalling, and downregulation of oxidative phosphorylation and mitochondrial proteostasis genes. These changes translate functionally into fewer mitochondria, reduced mitochondrial respiratory complex expression and activity, and low NAD+ levels through perturbed NAD+ biosynthesis and salvage in sarcopenic muscle. We provide an integrated molecular profile of human sarcopenia across ethnicities, demonstrating a fundamental role of altered mitochondrial metabolism in the pathological loss of skeletal muscle mass and function in older people.
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Affiliation(s)
| | - Stacey K H Tay
- KTP-National University Children's Medical Institute, National University Hospital, Singapore, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Harnish P Patel
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- Academic Geriatric Medicine, , University of Southampton, Southampton, UK
| | - Tanja Sonntag
- Nestle Research, EPFL Innovation Park, Lausanne, Switzerland
- EPFL school of Life Sciences, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland
| | | | - Craig McFarlane
- Department of Molecular & Cell Biology, College of Public Health, Medical & Veterinary Sciences, James Cook University, Townsville, Queensland, Australia
| | - Terence Forrester
- UWI Solutions for Developing Countries, UWI SODECO, University of West Indies, Kingston, Jamaica
| | - Sheila J Barton
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Melvin K Leow
- Singapore Institute for Clinical Sciences (A*STAR), Singapore, Singapore
- Department of Endocrinology, Tan Tock Seng Hospital, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Elie Antoun
- Institute of Developmental Sciences, University of Southampton, Southampton, UK
- Centre for Biological Sciences, University of Southampton, Southampton, UK
| | - Aline Charpagne
- Nestle Research, EPFL Innovation Park, Lausanne, Switzerland
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences (A*STAR), Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | | | - Lei Feng
- Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Patrice Francis-Emmanuel
- UWI Solutions for Developing Countries, UWI SODECO, University of West Indies, Kingston, Jamaica
| | - Emma S Garratt
- National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- Institute of Developmental Sciences, University of Southampton, Southampton, UK
| | | | - Curtis O Green
- UWI Solutions for Developing Countries, UWI SODECO, University of West Indies, Kingston, Jamaica
| | - Sonia Karaz
- Nestle Research, EPFL Innovation Park, Lausanne, Switzerland
| | | | - Julien Marquis
- Nestle Research, EPFL Innovation Park, Lausanne, Switzerland
| | | | - Sofia Moco
- Nestle Research, EPFL Innovation Park, Lausanne, Switzerland
| | - Gail Nelson
- UWI Solutions for Developing Countries, UWI SODECO, University of West Indies, Kingston, Jamaica
| | - Sherry Ngo
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Tony Pleasants
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | | | - Avan A Sayer
- Academic Geriatric Medicine, , University of Southampton, Southampton, UK
- AGE Research Group, Institute of Neuroscience, Faculty of Medical Sciences, Newcastle University, Newcastle, UK
- NIHR Newcastle Biomedical Research Centre, Newcastle upon-Tyne NHS Foundation Trust and Newcastle University, Newcastle, UK
| | - Chu Ming Sim
- Singapore Institute for Clinical Sciences (A*STAR), Singapore, Singapore
| | - Jo Slater-Jefferies
- Institute of Developmental Sciences, University of Southampton, Southampton, UK
| | - Holly E Syddall
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Pei Fang Tan
- Singapore Institute for Clinical Sciences (A*STAR), Singapore, Singapore
| | - Philip Titcombe
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Candida Vaz
- Singapore Institute for Clinical Sciences (A*STAR), Singapore, Singapore
| | - Leo D Westbury
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Gerard Wong
- Singapore Institute for Clinical Sciences (A*STAR), Singapore, Singapore
| | - Wu Yonghui
- Singapore Institute for Clinical Sciences (A*STAR), Singapore, Singapore
| | - Cyrus Cooper
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- National Institute for Health Research Musculoskeletal Biomedical Research Unit, University of Oxford, Oxford, UK
| | - Allan Sheppard
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Keith M Godfrey
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.
- National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK.
- Institute of Developmental Sciences, University of Southampton, Southampton, UK.
| | - Karen A Lillycrop
- National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK.
- Institute of Developmental Sciences, University of Southampton, Southampton, UK.
- Centre for Biological Sciences, University of Southampton, Southampton, UK.
| | - Neerja Karnani
- Singapore Institute for Clinical Sciences (A*STAR), Singapore, Singapore.
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
| | - Jerome N Feige
- Nestle Research, EPFL Innovation Park, Lausanne, Switzerland.
- EPFL school of Life Sciences, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland.
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Lima TRL, Almeida VP, Ferreira AS, Guimarães FS, Lopes AJ. Handgrip Strength and Pulmonary Disease in the Elderly: What is the Link? Aging Dis 2019; 10:1109-1129. [PMID: 31595206 PMCID: PMC6764733 DOI: 10.14336/ad.2018.1226] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Accepted: 12/26/2018] [Indexed: 12/15/2022] Open
Abstract
Societies in developed countries are aging at an unprecedented rate. Considering that aging is the most significant risk factor for many chronic lung diseases (CLDs), understanding this process may facilitate the development of new interventionist approaches. Skeletal muscle dysfunction is a serious problem in older adults with CLDs, reducing their quality of life and survival. In this study, we reviewed the possible links between handgrip strength (HGS)—a simple, noninvasive, low-cost measure of muscle function—and CLDs in the elderly. Different mechanisms appear to be involved in this association, including systemic inflammation, chronic hypoxemia, physical inactivity, malnutrition, and corticosteroid use. Respiratory and peripheral myopathy, associated with muscle atrophy and a shift in muscle fiber type, also seem to be major etiological contributors to CLDs. Moreover, sarcopenic obesity, which occurs in older adults with CLDs, impairs common inflammatory pathways that can potentiate each other and further accelerate the functional decline of HGS. Our findings support the concept that the systemic effects of CLDs may be determined by HGS, and HGS is a relevant measurement that should be considered in the clinical assessment of the elderly with CLDs. These reasons make HGS a useful practical tool for indirectly evaluating functional status in the elderly. At present, early muscle reconditioning and optimal nutrition appear to be the most effective approaches to reduce the impact of CLDs and low muscle strength on the quality of life of these individuals. Nonetheless, larger in-depth studies are needed to evaluate the link between HGS and CLDs.
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Affiliation(s)
- Tatiana Rafaela Lemos Lima
- 1Rehabilitation Sciences Post-Graduate Program, Augusto Motta University Center (UNISUAM), Bonsucesso, 21041-010, Rio de Janeiro, Brazil
| | - Vívian Pinto Almeida
- 1Rehabilitation Sciences Post-Graduate Program, Augusto Motta University Center (UNISUAM), Bonsucesso, 21041-010, Rio de Janeiro, Brazil
| | - Arthur Sá Ferreira
- 1Rehabilitation Sciences Post-Graduate Program, Augusto Motta University Center (UNISUAM), Bonsucesso, 21041-010, Rio de Janeiro, Brazil
| | - Fernando Silva Guimarães
- 1Rehabilitation Sciences Post-Graduate Program, Augusto Motta University Center (UNISUAM), Bonsucesso, 21041-010, Rio de Janeiro, Brazil
| | - Agnaldo José Lopes
- 1Rehabilitation Sciences Post-Graduate Program, Augusto Motta University Center (UNISUAM), Bonsucesso, 21041-010, Rio de Janeiro, Brazil.,2Post-graduate Program in Medical Sciences, School of Medical Sciences, State University of Rio de Janeiro (UERJ), Vila Isabel, 20550-170, Rio de Janeiro, Brazil
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35
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Shuler K, Sucic JF, Talley SA, Goldberg A. Angiotensin-Converting Enzyme Insertion/Deletion Polymorphism, Lower Extremity Strength, and Physical Performance in Older Adults. Phys Ther 2019; 99:998-1009. [PMID: 31087072 DOI: 10.1093/ptj/pzz073] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2018] [Revised: 10/24/2018] [Accepted: 02/03/2019] [Indexed: 12/25/2022]
Abstract
BACKGROUND Evidence for associations between the insertion/deletion (I/D) polymorphism of the angiotensin-converting enzyme (ACE) gene and physical performance is conflicting. Furthermore, investigations of relationships between lower extremity strength and physical performance have usually not considered the role of the ACE genotype, and it is unclear whether there are variations in relationships between lower extremity strength and physical performance among ACE genotypes in older adults. OBJECTIVE The objectives of this study were to investigate associations between the ACE I/D polymorphism and physical performance and to determine whether relationships between lower extremity strength and physical performance vary among ACE genotypes in older adults. DESIGN This was a cross-sectional observational study. METHODS Community-dwelling adults (N = 88) who were at least 60 years old completed physical performance and lower extremity strength tests. After DNA was extracted from saliva, ACE I/D polymorphism genotyping was done. The Spearman rank order correlation coefficient was used to examine associations between lower extremity strength and physical performance within ACE genotype subgroups. Analysis of covariance and linear regression were used to examine ACE genotype and ACE genotype × lower extremity strength interaction effects in relation to physical performance. RESULTS Genotype-specific correlation coefficients exhibited substantial variation among ACE genotype subgroups; however, differences did not attain statistical significance. Statistically significant genotype × lower extremity strength interaction effects in relation to physical performance were detected. LIMITATIONS The cross-sectional design precludes inferring causal relationships between strength and performance. The small sample size contributed to limited power to detect additional interaction effects and to detect statistically significant differences between correlation coefficients among ACE genotype subgroups. CONCLUSIONS The ACE I/D polymorphism is, interactively with lower extremity strength, associated with physical performance. Genotype-specific correlation coefficients and ACE genotype × lower extremity strength interaction effects on physical performance are consistent with variations in relationships between lower extremity strength and performance among ACE genotype subgroups.
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Affiliation(s)
- Kurt Shuler
- Department of Biology, College of Arts and Sciences, University of Michigan-Flint, Flint, Michigan
| | - Joseph F Sucic
- Department of Biology, College of Arts and Sciences, University of Michigan-Flint
| | - Susan Ann Talley
- Physical Therapy Department, College of Health Sciences, University of Michigan-Flint
| | - Allon Goldberg
- Physical Therapy Department, College of Health Sciences, University of Michigan-Flint, 303 East Kearsley Rd, Flint, MI 48502 (USA)
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36
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Grishina EE, Zmijewski P, Semenova EA, Cięszczyk P, Humińska-Lisowska K, Michałowska-Sawczyn M, Maculewicz E, Crewther B, Orysiak J, Kostryukova ES, Kulemin NA, Borisov OV, Khabibova SA, Larin AK, Pavlenko AV, Lyubaeva EV, Popov DV, Lysenko EA, Vepkhvadze TF, Lednev EM, Bondareva EA, Erskine RM, Generozov EV, Ahmetov II. Three DNA Polymorphisms Previously Identified as Markers for Handgrip Strength Are Associated With Strength in Weightlifters and Muscle Fiber Hypertrophy. J Strength Cond Res 2019; 33:2602-2607. [PMID: 31361736 DOI: 10.1519/jsc.0000000000003304] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Grishina, EE, Zmijewski, P, Semenova, EA, Cięszczyk, P, Humińska-Lisowska, K, Michałowska-Sawczyn, M, Maculewicz, E, Crewther, B, Orysiak, J, Kostryukova, ES, Kulemin, NA, Borisov, OV, Khabibova, SA, Larin, AK, Pavlenko, AV, Lyubaeva, EV, Popov, DV, Lysenko, EA, Vepkhvadze, TF, Lednev, EM, Bondareva, EA, Erskine, RM, Generozov, EV, and Ahmetov, II. Three DNA polymorphisms previously identified as markers for handgrip strength are associated with strength in weightlifters and muscle fiber hypertrophy. J Strength Cond Res 33(10): 2602-2607, 2019-Muscle strength is a highly heritable trait. So far, 196 single nucleotide polymorphisms (SNPs) associated with handgrip strength have been identified in 3 genome-wide association studies. The aim of our study was to validate the association of 35 SNPs with strength of elite Russian weightlifters and replicate the study in Polish weightlifters. Genotyping was performed using micro-array analysis or real-time polymerase chain reaction. We found that the rs12055409 G-allele near the MLN gene (p = 0.004), the rs4626333 G-allele near the ZNF608 gene (p = 0.0338), and the rs2273555 A-allele in the GBF1 gene (p = 0.0099) were associated with greater competition results (total lifts in snatch and clean and jerk adjusted for sex and weight) in 53 elite Russian weightlifters. In the replication study of 76 sub-elite Polish weightlifters, rs4626333 GG homozygotes demonstrated greater competition results (p = 0.0155) and relative muscle mass (p = 0.046), adjusted for sex, weight, and age, compared with carriers of the A-allele. In the following studies, we tested the hypotheses that these SNPs would be associated with skeletal muscle hypertrophy and handgrip strength. We found that the number of strength-associated alleles was positively associated with fast-twitch muscle fiber cross-sectional area in the independent cohort of 20 male power athletes (p = 0.021) and with handgrip strength in 87 physically active individuals (p = 0.015). In conclusion, by replicating previous findings in 4 independent studies, we demonstrate that the rs12055409 G-, rs4626333 G-, and rs2273555 A-alleles are associated with higher levels of strength, muscle mass, and muscle fiber size.
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Affiliation(s)
- Elina E Grishina
- Laboratory of Molecular Genetics, Kazan State Medical University, Kazan, Russia
| | - Piotr Zmijewski
- Faculty of Medicine, University of Information Technology and Management in Rzeszow, Poland.,Research and Development Center Legia Lab, Legia Warszawa, Poland
| | - Ekaterina A Semenova
- Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia.,Department of Biochemistry, Kazan Federal University, Kazan, Russia
| | - Paweł Cięszczyk
- Department of Theory and Practice of Sport, Academy of Physical Education in Katowice, Katowice, Poland
| | - Kinga Humińska-Lisowska
- Faculty of Physical Education, Gdansk University of Physical Education and Sport, Gdansk, Poland
| | | | - Ewelina Maculewicz
- Independent Laboratory of Genetics and Molecular Biology, Kaczkowski Military Institute of Hygiene Epidemiology, Warsaw, Poland
| | - Blair Crewther
- Institute of Sport-National Research Institute, Warsaw, Poland
| | - Joanna Orysiak
- Institute of Sport-National Research Institute, Warsaw, Poland
| | - Elena S Kostryukova
- Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
| | - Nickolay A Kulemin
- Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
| | - Oleg V Borisov
- Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia.,Institute for Genomic Statistics and Bioinformatics, University Hospital Bonn, Bonn, Germany
| | - Sofya A Khabibova
- Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
| | - Andrey K Larin
- Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
| | - Alexander V Pavlenko
- Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
| | - Ekaterina V Lyubaeva
- Laboratory of Exercise Physiology, Institute of Biomedical Problems of the Russian Academy of Sciences, Moscow, Russia
| | - Daniil V Popov
- Laboratory of Exercise Physiology, Institute of Biomedical Problems of the Russian Academy of Sciences, Moscow, Russia
| | - Evgeny A Lysenko
- Laboratory of Exercise Physiology, Institute of Biomedical Problems of the Russian Academy of Sciences, Moscow, Russia
| | - Tatiana F Vepkhvadze
- Laboratory of Exercise Physiology, Institute of Biomedical Problems of the Russian Academy of Sciences, Moscow, Russia
| | - Egor M Lednev
- Laboratory of Exercise Physiology, Institute of Biomedical Problems of the Russian Academy of Sciences, Moscow, Russia
| | - Elvira A Bondareva
- Research Institute and Museum of Anthropology, Lomonosov Moscow State University, Moscow, Russia
| | - Robert M Erskine
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, United Kingdom.,Institute of Sport, Exercise and Health, University College London, London, United Kingdom
| | - Edward V Generozov
- Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
| | - Ildus I Ahmetov
- Laboratory of Molecular Genetics, Kazan State Medical University, Kazan, Russia.,Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia.,Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, United Kingdom.,Sports Genetics Laboratory, St. Petersburg Research Institute of Physical Culture, St. Petersburg, Russia
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37
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Soerensen M, Li W, Debrabant B, Nygaard M, Mengel-From J, Frost M, Christensen K, Christiansen L, Tan Q. Epigenome-wide exploratory study of monozygotic twins suggests differentially methylated regions to associate with hand grip strength. Biogerontology 2019; 20:627-647. [PMID: 31254144 PMCID: PMC6733812 DOI: 10.1007/s10522-019-09818-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Accepted: 06/24/2019] [Indexed: 01/02/2023]
Abstract
Hand grip strength is a measure of muscular strength and is used to study age-related loss of physical capacity. In order to explore the biological mechanisms that influence hand grip strength variation, an epigenome-wide association study (EWAS) of hand grip strength in 672 middle-aged and elderly monozygotic twins (age 55–90 years) was performed, using both individual and twin pair level analyses, the latter controlling the influence of genetic variation. Moreover, as measurements of hand grip strength performed over 8 years were available in the elderly twins (age 73–90 at intake), a longitudinal EWAS was conducted for this subsample. No genome-wide significant CpG sites or pathways were found, however two of the suggestive top CpG sites were mapped to the COL6A1 and CACNA1B genes, known to be related to muscular dysfunction. By investigating genomic regions using the comb-p algorithm, several differentially methylated regions in regulatory domains were identified as significantly associated to hand grip strength, and pathway analyses of these regions revealed significant pathways related to the immune system, autoimmune disorders, including diabetes type 1 and viral myocarditis, as well as negative regulation of cell differentiation. The genes contributing to the immunological pathways were HLA-B, HLA-C, HLA-DMA, HLA-DPB1, MYH10, ERAP1 and IRF8, while the genes implicated in the negative regulation of cell differentiation were IRF8, CEBPD, ID2 and BRCA1. In conclusion, this exploratory study suggests hand grip strength to associate with differentially methylated regions enriched in immunological and cell differentiation pathways, and hence merits further investigations.
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Affiliation(s)
- Mette Soerensen
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 9B, 5000, Odense C, Denmark. .,Department of Clinical Biochemistry and Pharmacology, Center for Individualized Medicine in Arterial Diseases, Odense University Hospital, J.B. Winsløws Vej 4, 5000, Odense C, Denmark. .,Department of Clinical Genetics, Odense University Hospital, J.B. Winsløws Vej 4, 5000, Odense C, Denmark.
| | - Weilong Li
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 9B, 5000, Odense C, Denmark
| | - Birgit Debrabant
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 9B, 5000, Odense C, Denmark
| | - Marianne Nygaard
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 9B, 5000, Odense C, Denmark.,Department of Clinical Genetics, Odense University Hospital, J.B. Winsløws Vej 4, 5000, Odense C, Denmark
| | - Jonas Mengel-From
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 9B, 5000, Odense C, Denmark.,Department of Clinical Genetics, Odense University Hospital, J.B. Winsløws Vej 4, 5000, Odense C, Denmark
| | - Morten Frost
- Endocrine Research Unit, KMEB, University of Southern Denmark, J.B. Winsløws Vej 4, 5000, Odense C, Denmark
| | - Kaare Christensen
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 9B, 5000, Odense C, Denmark.,Department of Clinical Genetics, Odense University Hospital, J.B. Winsløws Vej 4, 5000, Odense C, Denmark
| | - Lene Christiansen
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 9B, 5000, Odense C, Denmark.,Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen Ø, Denmark
| | - Qihua Tan
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 9B, 5000, Odense C, Denmark.,Department of Clinical Genetics, Odense University Hospital, J.B. Winsløws Vej 4, 5000, Odense C, Denmark
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38
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Karasik D, Zillikens MC, Hsu YH, Aghdassi A, Akesson K, Amin N, Barroso I, Bennett DA, Bertram L, Bochud M, Borecki IB, Broer L, Buchman AS, Byberg L, Campbell H, Campos-Obando N, Cauley JA, Cawthon PM, Chambers JC, Chen Z, Cho NH, Choi HJ, Chou WC, Cummings SR, de Groot LCPGM, De Jager PL, Demuth I, Diatchenko L, Econs MJ, Eiriksdottir G, Enneman AW, Eriksson J, Eriksson JG, Estrada K, Evans DS, Feitosa MF, Fu M, Gieger C, Grallert H, Gudnason V, Lenore LJ, Hayward C, Hofman A, Homuth G, Huffman KM, Husted LB, Illig T, Ingelsson E, Ittermann T, Jansson JO, Johnson T, Biffar R, Jordan JM, Jula A, Karlsson M, Khaw KT, Kilpeläinen TO, Klopp N, Kloth JSL, Koller DL, Kooner JS, Kraus WE, Kritchevsky S, Kutalik Z, Kuulasmaa T, Kuusisto J, Laakso M, Lahti J, Lang T, Langdahl BL, Lerch MM, Lewis JR, Lill C, Lind L, Lindgren C, Liu Y, Livshits G, Ljunggren Ö, Loos RJF, Lorentzon M, Luan J, Luben RN, Malkin I, McGuigan FE, Medina-Gomez C, Meitinger T, Melhus H, Mellström D, Michaëlsson K, Mitchell BD, Morris AP, Mosekilde L, Nethander M, Newman AB, O'Connell JR, Oostra BA, Orwoll ES, Palotie A, Peacock M, Perola M, Peters A, Prince RL, Psaty BM, Räikkönen K, Ralston SH, Ripatti S, Rivadeneira F, Robbins JA, Rotter JI, Rudan I, Salomaa V, Satterfield S, Schipf S, Shin CS, Smith AV, Smith SB, Soranzo N, Spector TD, Stančáková A, Stefansson K, Steinhagen-Thiessen E, Stolk L, Streeten EA, Styrkarsdottir U, Swart KMA, Thompson P, Thomson CA, Thorleifsson G, Thorsteinsdottir U, Tikkanen E, Tranah GJ, Uitterlinden AG, van Duijn CM, van Schoor NM, Vandenput L, Vollenweider P, Völzke H, Wactawski-Wende J, Walker M, J Wareham N, Waterworth D, Weedon MN, Wichmann HE, Widen E, Williams FMK, Wilson JF, Wright NC, Yerges-Armstrong LM, Yu L, Zhang W, Zhao JH, Zhou Y, Nielson CM, Harris TB, Demissie S, Kiel DP, Ohlsson C. Disentangling the genetics of lean mass. Am J Clin Nutr 2019; 109:276-287. [PMID: 30721968 PMCID: PMC6500901 DOI: 10.1093/ajcn/nqy272] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2018] [Accepted: 09/11/2018] [Indexed: 12/17/2022] Open
Abstract
Background Lean body mass (LM) plays an important role in mobility and metabolic function. We previously identified five loci associated with LM adjusted for fat mass in kilograms. Such an adjustment may reduce the power to identify genetic signals having an association with both lean mass and fat mass. Objectives To determine the impact of different fat mass adjustments on genetic architecture of LM and identify additional LM loci. Methods We performed genome-wide association analyses for whole-body LM (20 cohorts of European ancestry with n = 38,292) measured using dual-energy X-ray absorptiometry) or bioelectrical impedance analysis, adjusted for sex, age, age2, and height with or without fat mass adjustments (Model 1 no fat adjustment; Model 2 adjustment for fat mass as a percentage of body mass; Model 3 adjustment for fat mass in kilograms). Results Seven single-nucleotide polymorphisms (SNPs) in separate loci, including one novel LM locus (TNRC6B), were successfully replicated in an additional 47,227 individuals from 29 cohorts. Based on the strengths of the associations in Model 1 vs Model 3, we divided the LM loci into those with an effect on both lean mass and fat mass in the same direction and refer to those as "sumo wrestler" loci (FTO and MC4R). In contrast, loci with an impact specifically on LM were termed "body builder" loci (VCAN and ADAMTSL3). Using existing available genome-wide association study databases, LM increasing alleles of SNPs in sumo wrestler loci were associated with an adverse metabolic profile, whereas LM increasing alleles of SNPs in "body builder" loci were associated with metabolic protection. Conclusions In conclusion, we identified one novel LM locus (TNRC6B). Our results suggest that a genetically determined increase in lean mass might exert either harmful or protective effects on metabolic traits, depending on its relation to fat mass.
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Affiliation(s)
- David Karasik
- Hebrew SeniorLife Institute for Aging Research and Harvard Medical School, Boston, MA
- Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel
| | - M Carola Zillikens
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
- Netherlands Genomics Initiative-Sponsored Netherlands Consortium for Healthy Aging, Leiden, The Netherlands
| | - Yi-Hsiang Hsu
- Hebrew SeniorLife Institute for Aging Research and Harvard Medical School, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
- Molecular and Integrative Physiological Sciences Program, Harvard School of Public Health, Boston, MA
| | - Ali Aghdassi
- Department of Medicine A, University of Greifswald, Greifswald, Germany
| | - Kristina Akesson
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
- Department of Orthopedics, Skåne University Hospital, Malmö, Sweden
| | - Najaf Amin
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Inês Barroso
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, United Kingdom
- NIHR Cambridge Biomedical Research Centre
- University of Cambridge Metabolic Research Laboratories, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, United Kingdom
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL
| | - Lars Bertram
- Lübeck Interdisciplinary Platform for Genome Analytics, University of Lübeck, Lübeck, Germany
| | - Murielle Bochud
- University Institute for Social and Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Ingrid B Borecki
- Division of Statistical Genomics, Department of Genetics
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO
| | - Linda Broer
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Aron S Buchman
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL
| | - Liisa Byberg
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Harry Campbell
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh, United Kingdom
| | | | - Jane A Cauley
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - Peggy M Cawthon
- California Pacific Medical Center Research Institute, San Francisco, CA
| | - John C Chambers
- Cardiology, Ealing Hospital NHS Trust, London, United Kingdom
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- Imperial College Healthcare NHS Trust, London, United Kingdom
- NIHR Cardiovascular Biomedical Research Unit, Royal Brompton and Harefield NHS Foundation Trust and Imperial College London, London, United Kingdom
| | - Zhao Chen
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ
| | - Nam H Cho
- Department of Preventive Medicine, Ajou University School of Medicine, Youngtong-Gu, Suwon, Korea
| | - Hyung Jin Choi
- Department of Internal Medicine
- Department of Anatomy and Cell Biology, Neuroscience Research Institute, Seoul National University College of Medicine, Seoul, Korea
- Wide River Institute of Immunology, Seoul National University, Hongcheon, Korea
| | - Wen-Chi Chou
- Hebrew SeniorLife Institute for Aging Research and Harvard Medical School, Boston, MA
- Broad Institute, Cambridge, MA
| | - Steven R Cummings
- California Pacific Medical Center Research Institute, San Francisco, CA
| | | | - Phillip L De Jager
- Center for Translational and Computational Neuroimmunology, Neurology, Columbia University Medical Center, New York, NY
- Cell Circuits Program, Broad Institute, Cambridge, MA
| | - Ilja Demuth
- Charité—Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Berlin Institute of Health, Berlin, Germany
| | - Luda Diatchenko
- Regional Center for Neurosensory Disorders, School of Dentistry, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Alan Edwards Centre for Research on Pain, McGill University, Montreal, Canada
| | - Michael J Econs
- Department of Medicine and Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | | | - Anke W Enneman
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Joel Eriksson
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Johan G Eriksson
- National Institute for Health and Welfare, Helsinki, Finland
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
- Helsinki University Central Hospital, Unit of General Practice, Helsinki, Finland
- Folkhalsan Research Centre, Helsinki, Finland
| | - Karol Estrada
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Translational Biology, Biogen, Cambridge, MA
| | - Daniel S Evans
- California Pacific Medical Center Research Institute, San Francisco, CA
| | - Mary F Feitosa
- Division of Statistical Genomics, Department of Genetics
| | - Mao Fu
- Program in Personalized and Genomic Medicine, and Department of Medicine, Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD
| | - Christian Gieger
- Research Unit of Molecular Epidemiology
- Institute of Epidemiology II
- Institute of Genetic Epidemiology, Helmholtz Zentrum München—German Research Center for Environmental Health, Neuherberg, Germany
| | - Harald Grallert
- Research Unit of Molecular Epidemiology
- Institute of Epidemiology II
- CCG Type 2 Diabetes, Helmholtz Zentrum München, Neuherberg, Germany
- German Center for Diabetes Research, Neuherberg, Germany
- CCG Nutrigenomics and Type 2 Diabetes, Helmholtz Zentrum München, Neuherberg, Germany
| | - Vilmundur Gudnason
- Icelandic Heart Association Holtasmari, Kopavogur, Iceland
- University of Iceland, Faculty of Medicine, Reykjavik, Iceland
| | - Launer J Lenore
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, NIA, Bethesda, MD
| | - Caroline Hayward
- MRC Human Genetics Unit, IGMM, University of Edinburgh, Edinburgh, United Kingdom
| | - Albert Hofman
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
- Netherlands Genomics Initiative-Sponsored Netherlands Consortium for Healthy Aging, Leiden, The Netherlands
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, University of Greifswald, Greifswald, Germany
| | - Kim M Huffman
- Duke Molecular Physiology Institute and Division of Rheumatology, Department of Medicine, Duke University School of Medicine, Durham, NC
| | - Lise B Husted
- Aarhus University Hospital, Endocrinology and Internal Medicine, Aarhus, Denmark
| | - Thomas Illig
- Research Unit of Molecular Epidemiology
- Department of Human Genetics, Hannover Medical School, Hanover, Germany
| | - Erik Ingelsson
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA
| | - Till Ittermann
- Institute for Community Medicine, University of Greifswald, Greifswald, Germany
| | - John-Olov Jansson
- Department of Physiology, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Toby Johnson
- University Institute for Social and Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland
- Department of Medical Genetics, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Reiner Biffar
- Centre of Oral Health, Department of Prosthetic Dentistry, Gerodontology and Biomaterials, University of Greifswald, Greifswald, Germany
| | - Joanne M Jordan
- Thurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Antti Jula
- National Institute for Health and Welfare, Helsinki, Finland
| | - Magnus Karlsson
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
- Department of Orthopedics, Skåne University Hospital, Malmö, Sweden
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Tuomas O Kilpeläinen
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, United Kingdom
- 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 Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Norman Klopp
- Research Unit of Molecular Epidemiology
- Hannover Unified Biobank, Hannover Medical School, Hannover, Germany
| | | | - Daniel L Koller
- Department of Medicine and Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Jaspal S Kooner
- Cardiology, Ealing Hospital NHS Trust, London, United Kingdom
- Imperial College Healthcare NHS Trust, London, United Kingdom
- Faculty of Medicine, National Heart & Lung Institute, Cardiovascular Science, Hammersmith Campus, Hammersmith Hospital, Imperial College London, United Kingdom
| | - William E Kraus
- Duke Molecular Physiology Institute and Division of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, NC
| | - Stephen Kritchevsky
- Sticht Center for Healthy Aging and Alzheimer's Prevention, Wake Forest School of Medicine, Winston-Salem, NC
| | - Zoltán Kutalik
- University Institute for Social and Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Teemu Kuulasmaa
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Johanna Kuusisto
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Markku Laakso
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Jari Lahti
- Helsinki Collegium Advanced Studies, University of Helsinki, Helsinki, Finland
| | - Thomas Lang
- Department of Radiology and Biomedical Imaging, and School of Dentistry, UC San Francisco, San Francisco, CA
| | - Bente L Langdahl
- Aarhus University Hospital, Endocrinology and Internal Medicine, Aarhus, Denmark
| | - Markus M Lerch
- Department of Medicine A, University of Greifswald, Greifswald, Germany
| | - Joshua R Lewis
- School of Medicine and Pharmacology, University of Western Australia, Perth, Australia
- Centre for Kidney Research, Children's Hospital at Westmead, School of Public Health, Sydney Medical School, The University of Sydney, Sydney, Australia
| | - Christina Lill
- Institute of Neurogenetics, University of Luebeck, Luebeck, Germany
| | - Lars Lind
- Department. of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Cecilia Lindgren
- Wellcome Trust Centre for Human Genetics, Oxford University, Oxford, United Kingdom
| | - Yongmei Liu
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC
| | - Gregory Livshits
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Department of Twin Research and Genetic Epidemiology, King's College London, St Thomas' Campus, London, United Kingdom
| | - Östen Ljunggren
- Department. of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Ruth J F Loos
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY
- The Charles Bronfman Institute of Personalized Medicine
- Institute of Child Health and Development
- The Genetics of Obesity and Related Traits Program, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Mattias Lorentzon
- Department of Internal Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Jian'an Luan
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Robert N Luben
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ida Malkin
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Fiona E McGuigan
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Carolina Medina-Gomez
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Thomas Meitinger
- Institute of Human Genetics, MRI, Technische Universität München, Munich, Germany
- Institute of Human Genetics, Helmholtz Zentrum München—German Research Center for Environmental Health, Neuherberg, Germany
| | - Håkan Melhus
- Department. of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Dan Mellström
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Karl Michaëlsson
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Braxton D Mitchell
- Program in Personalized and Genomic Medicine, and Department of Medicine, Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD
- Geriatric Research and Education Clinical Center—Veterans Administration Medical Center, Baltimore, MD
| | - Andrew P Morris
- Wellcome Trust Centre for Human Genetics, Oxford University, Oxford, United Kingdom
- Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom
| | - Leif Mosekilde
- Aarhus University Hospital, Endocrinology and Internal Medicine, Aarhus, Denmark
| | - Maria Nethander
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Anne B Newman
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - Jeffery R O'Connell
- Program in Personalized and Genomic Medicine, and Department of Medicine, Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD
| | - Ben A Oostra
- Department of Clinical Genetics, Erasmus MC, Rotterdam, The Netherlands
- Centre for Medical Systems Biology & Netherlands Consortium on Healthy Aging, Leiden, The Netherlands
| | | | - Aarno Palotie
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
- Department of Medical Genetics, University of Helsinki and University Central Hospital, Helsinki, Finland
| | - Munro Peacock
- Department of Medicine and Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Markus Perola
- National Institute for Health and Welfare, Helsinki, Finland
- University of Helsinki, Institute for Molecular Medicine, Finland and Diabetes and Obesity Research Program, Helsinki, Finland
- University of Tartu, Estonian Genome Center, Tartu, Estonia
| | - Annette Peters
- Research Unit of Molecular Epidemiology
- Institute of Epidemiology II
| | - Richard L Prince
- School of Medicine and Pharmacology, University of Western Australia, Perth, Australia
- Department of Endocrinology and Diabetes, Sir Charles Gardiner Hospital, Perth, Australia
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, WA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA
| | - Katri Räikkönen
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Stuart H Ralston
- Molecular Medicine Centre, MRC Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, United Kingdom
| | - Samuli Ripatti
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, United Kingdom
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
- Hjelt Institute, University of Helsinki, Helsinki, Finland
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
- Netherlands Genomics Initiative-Sponsored Netherlands Consortium for Healthy Aging, Leiden, The Netherlands
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - John A Robbins
- Department of Medicine, University California at Davis, Sacramento, CA
| | - Jerome I Rotter
- Institute for Translational Genomic and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics, Harbor UCLA Medical Center, Torrance, CA
| | - Igor Rudan
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - Veikko Salomaa
- National Institute for Health and Welfare, Helsinki, Finland
| | - Suzanne Satterfield
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN
| | - Sabine Schipf
- Institute for Community Medicine, University of Greifswald, Greifswald, Germany
| | | | - Albert V Smith
- Icelandic Heart Association Holtasmari, Kopavogur, Iceland
- University of Iceland, Faculty of Medicine, Reykjavik, Iceland
| | - Shad B Smith
- Center for Translational Pain Medicine, Department of Anesthesiology, Duke University, Durham, NC
| | - Nicole Soranzo
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, United Kingdom
| | - Timothy D Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, St Thomas' Campus, London, United Kingdom
| | - Alena Stančáková
- Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Kari Stefansson
- University of Iceland, Faculty of Medicine, Reykjavik, Iceland
- deCODE Genetics, Reykjavik, Iceland
| | | | - Lisette Stolk
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
- Netherlands Genomics Initiative-Sponsored Netherlands Consortium for Healthy Aging, Leiden, The Netherlands
| | - Elizabeth A Streeten
- Program in Personalized and Genomic Medicine, and Department of Medicine, Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD
- Geriatric Research and Education Clinical Center—Veterans Administration Medical Center, Baltimore, MD
| | | | - Karin M A Swart
- Department of Epidemiology and Biostatistics, and the EMGO+ Institute; VU University Medical Center, Amsterdam, The Netherlands
| | | | - Cynthia A Thomson
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ
| | | | - Unnur Thorsteinsdottir
- University of Iceland, Faculty of Medicine, Reykjavik, Iceland
- deCODE Genetics, Reykjavik, Iceland
| | - Emmi Tikkanen
- National Institute for Health and Welfare, Helsinki, Finland
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Gregory J Tranah
- California Pacific Medical Center Research Institute, San Francisco, CA
| | - André G Uitterlinden
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
- Netherlands Genomics Initiative-Sponsored Netherlands Consortium for Healthy Aging, Leiden, The Netherlands
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Centre for Medical Systems Biology & Netherlands Consortium on Healthy Aging, Leiden, The Netherlands
| | - Natasja M van Schoor
- Department of Epidemiology and Biostatistics, and the EMGO+ Institute; VU University Medical Center, Amsterdam, The Netherlands
| | - Liesbeth Vandenput
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Peter Vollenweider
- Department of Medicine, Internal Medicine, Lausanne University Hospital and Faculty of Biology and Medicine, Lausanne, Switzerland
| | - Henry Völzke
- Institute for Community Medicine, University of Greifswald, Greifswald, Germany
| | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, University at Buffalo, SUNY, Buffalo, NY
| | - Mark Walker
- Institute of Cellular Medicine (Diabetes), The Medical School, Newcastle University, Framlington Place, Newcastle upon Tyne, United Kingdom
| | - Nicholas J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | | | - Michael N Weedon
- Genetics of Complex Traits, Royal Devon & Exeter Hospital, University of Exeter Medical School, Exeter, United Kingdom
| | - H-Erich Wichmann
- Institute of Epidemiology II
- Institute of Medical Informatics, Biometry and Epidemiology, Ludwig-Maximilians-Universität, Neuherberg/Munich, Germany
- Institute of Medical Statistics and Epidemiology, Technical University, Munich, Germany
| | - Elisabeth Widen
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Frances M K Williams
- Department of Twin Research and Genetic Epidemiology, King's College London, St Thomas' Campus, London, United Kingdom
| | - James F Wilson
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh, United Kingdom
| | - Nicole C Wright
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL
| | - Laura M Yerges-Armstrong
- Program in Personalized and Genomic Medicine, and Department of Medicine, Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD
- Genetics, GlaxoSmithKline, King of Prussia, PA
| | - Lei Yu
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL
| | - Weihua Zhang
- Cardiology, Ealing Hospital NHS Trust, London, United Kingdom
- Imperial College Healthcare NHS Trust, London, United Kingdom
| | - Jing Hua Zhao
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Yanhua Zhou
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | | | - Tamara B Harris
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, NIA, Bethesda, MD
| | - Serkalem Demissie
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Douglas P Kiel
- Hebrew SeniorLife Institute for Aging Research and Harvard Medical School, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Claes Ohlsson
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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De Jager PL, Ma Y, McCabe C, Xu J, Vardarajan BN, Felsky D, Klein HU, White CC, Peters MA, Lodgson B, Nejad P, Tang A, Mangravite LM, Yu L, Gaiteri C, Mostafavi S, Schneider JA, Bennett DA. A multi-omic atlas of the human frontal cortex for aging and Alzheimer's disease research. Sci Data 2018; 5:180142. [PMID: 30084846 PMCID: PMC6080491 DOI: 10.1038/sdata.2018.142] [Citation(s) in RCA: 280] [Impact Index Per Article: 46.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2018] [Accepted: 04/26/2018] [Indexed: 12/14/2022] Open
Abstract
We initiated the systematic profiling of the dorsolateral prefrontal cortex obtained from a subset of autopsied individuals enrolled in the Religious Orders Study (ROS) or the Rush Memory and Aging Project (MAP), which are jointly designed prospective studies of aging and dementia with detailed, longitudinal cognitive phenotyping during life and a quantitative, structured neuropathologic examination after death. They include over 3,322 subjects. Here, we outline the first generation of data including genome-wide genotypes (n=2,090), whole genome sequencing (n=1,179), DNA methylation (n=740), chromatin immunoprecipitation with sequencing using an anti-Histone 3 Lysine 9 acetylation (H3K9Ac) antibody (n=712), RNA sequencing (n=638), and miRNA profile (n=702). Generation of other omic data including ATACseq, proteomic and metabolomics profiles is ongoing. Thanks to its prospective design and recruitment of older, non-demented individuals, these data can be repurposed to investigate a large number of syndromic and quantitative neuroscience phenotypes. The many subjects that are cognitively non-impaired at death also offer insights into the biology of the human brain in older non-impaired individuals.
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Affiliation(s)
- Philip L. De Jager
- Center for Translational & Computational Neuroimmunology, Department of Neurology, Columbia University Medical Center, 630 West 168 street, New York, NY 10032, USA
- Cell Circuits Program, Broad Institute, 415 Main street, Cambridge MA 02142, USA
| | - Yiyi Ma
- Center for Translational & Computational Neuroimmunology, Department of Neurology, Columbia University Medical Center, 630 West 168 street, New York, NY 10032, USA
| | - Cristin McCabe
- Cell Circuits Program, Broad Institute, 415 Main street, Cambridge MA 02142, USA
| | - Jishu Xu
- Cell Circuits Program, Broad Institute, 415 Main street, Cambridge MA 02142, USA
| | - Badri N. Vardarajan
- Center for Translational & Computational Neuroimmunology, Department of Neurology, Columbia University Medical Center, 630 West 168 street, New York, NY 10032, USA
| | - Daniel Felsky
- Center for Translational & Computational Neuroimmunology, Department of Neurology, Columbia University Medical Center, 630 West 168 street, New York, NY 10032, USA
- Cell Circuits Program, Broad Institute, 415 Main street, Cambridge MA 02142, USA
| | - Hans-Ulrich Klein
- Center for Translational & Computational Neuroimmunology, Department of Neurology, Columbia University Medical Center, 630 West 168 street, New York, NY 10032, USA
- Cell Circuits Program, Broad Institute, 415 Main street, Cambridge MA 02142, USA
| | - Charles C. White
- Cell Circuits Program, Broad Institute, 415 Main street, Cambridge MA 02142, USA
| | - Mette A. Peters
- Sage Bionetworks, 1100 Fairview Avenue N. Seattle WA 98109, USA
| | - Ben Lodgson
- Sage Bionetworks, 1100 Fairview Avenue N. Seattle WA 98109, USA
| | - Parham Nejad
- Cell Circuits Program, Broad Institute, 415 Main street, Cambridge MA 02142, USA
| | - Anna Tang
- Cell Circuits Program, Broad Institute, 415 Main street, Cambridge MA 02142, USA
| | | | - Lei Yu
- Rush Alzehimer Disease Center, RUSH University, 600 South Paulina Street, Chicago IL 60612, USA
| | - Chris Gaiteri
- Rush Alzehimer Disease Center, RUSH University, 600 South Paulina Street, Chicago IL 60612, USA
| | - Sara Mostafavi
- Departments of Statistics and Medical Genetics and Centre for Molecular Medicine and Therapeutics, University of British Columbia, 950 West 28 Avenue, Vancouver, British Columbia BC V5Z 4H4, Canada
| | - Julie A. Schneider
- Rush Alzehimer Disease Center, RUSH University, 600 South Paulina Street, Chicago IL 60612, USA
| | - David A. Bennett
- Rush Alzehimer Disease Center, RUSH University, 600 South Paulina Street, Chicago IL 60612, USA
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40
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Tikkanen E, Gustafsson S, Amar D, Shcherbina A, Waggott D, Ashley EA, Ingelsson E. Biological Insights Into Muscular Strength: Genetic Findings in the UK Biobank. Sci Rep 2018; 8:6451. [PMID: 29691431 PMCID: PMC5915424 DOI: 10.1038/s41598-018-24735-y] [Citation(s) in RCA: 59] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2017] [Accepted: 04/10/2018] [Indexed: 11/11/2022] Open
Abstract
We performed a large genome-wide association study to discover genetic variation associated with muscular strength, and to evaluate shared genetic aetiology with and causal effects of muscular strength on several health indicators. In our discovery analysis of 223,315 individuals, we identified 101 loci associated with grip strength (P <5 × 10-8). Of these, 64 were associated (P < 0.01 and consistent direction) also in the replication dataset (N = 111,610). eQTL analyses highlighted several genes known to play a role in neuro-developmental disorders or brain function, and the results from meta-analysis showed a significant enrichment of gene expression of brain-related transcripts. Further, we observed inverse genetic correlations of grip strength with cardiometabolic traits, and positive correlation with parents' age of death and education. We also showed that grip strength had shared biological pathways with indicators of frailty, including cognitive performance scores. By use of Mendelian randomization, we provide evidence that higher grip strength is protective of both coronary heart disease (OR = 0.69, 95% CI 0.60-0.79, P < 0.0001) and atrial fibrillation (OR = 0.75, 95% CI 0.62-0.90, P = 0.003). In conclusion, our results show shared genetic aetiology between grip strength, and cardiometabolic and cognitive health; and suggest that maintaining muscular strength could prevent future cardiovascular events.
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Affiliation(s)
- Emmi Tikkanen
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Stefan Gustafsson
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - David Amar
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Anna Shcherbina
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Daryl Waggott
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Euan A Ashley
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Erik Ingelsson
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
- Stanford Cardiovascular Institute, Stanford University, Stanford, CA, 94305, USA.
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41
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Harris SE, Riggio V, Evenden L, Gilchrist T, McCafferty S, Murphy L, Wrobel N, Taylor AM, Corley J, Pattie A, Cox SR, Martin-Ruiz C, Prendergast J, Starr JM, Marioni RE, Deary IJ. Age-related gene expression changes, and transcriptome wide association study of physical and cognitive aging traits, in the Lothian Birth Cohort 1936. Aging (Albany NY) 2017; 9:2489-2503. [PMID: 29207374 PMCID: PMC5764388 DOI: 10.18632/aging.101333] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2017] [Accepted: 11/26/2017] [Indexed: 12/11/2022]
Abstract
Gene expression is influenced by both genetic variants and the environment. As individuals age, changes in gene expression may be associated with decline in physical and cognitive abilities. We measured transcriptome-wide expression levels in lymphoblastoid cell lines derived from members of the Lothian Birth Cohort 1936 at mean ages 70 and 76 years. Changes in gene expression levels were identified for 1,741 transcripts in 434 individuals. Gene Ontology enrichment analysis indicated an enrichment of biological processes involved in the immune system. Transcriptome-wide association analysis was performed for eleven cognitive, fitness, and biomedical aging-related traits at age 70 years (N=665 to 781) and with mortality. Transcripts for genes (F2RL3, EMILIN1 and CDC42BPA) previously identified as being differentially methylated or expressed in smoking or smoking-related cancers were overexpressed in smokers compared to non-smokers and the expression of transcripts for genes (HERPUD1, GAB2, FAM167A and GLS) previously associated with stress response, autoimmune disease and cancer were associated with telomere length. No associations between expression levels and other traits, or mortality were identified.
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Affiliation(s)
- Sarah E. Harris
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK
- Medical Genetics Section, University of Edinburgh Centre for Genomic and Experimental Medicine and MRC Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh EH4 2XU, UK
| | - Valentina Riggio
- The Roslin Institute and R(D)SVS, University of Edinburgh, Easter Bush Campus, Midlothian EH25 9RG, UK
| | - Louise Evenden
- Edinburgh Clinical Research Facility, University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - Tamara Gilchrist
- Edinburgh Clinical Research Facility, University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - Sarah McCafferty
- Edinburgh Clinical Research Facility, University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - Lee Murphy
- Edinburgh Clinical Research Facility, University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - Nicola Wrobel
- Edinburgh Clinical Research Facility, University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - Adele M. Taylor
- Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Janie Corley
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK
- Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Alison Pattie
- Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Simon R. Cox
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK
- Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Carmen Martin-Ruiz
- Institute for Ageing, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne NE4 5PL, UK
| | - James Prendergast
- The Roslin Institute and R(D)SVS, University of Edinburgh, Easter Bush Campus, Midlothian EH25 9RG, UK
| | - John M. Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK
- Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Riccardo E. Marioni
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK
- Medical Genetics Section, University of Edinburgh Centre for Genomic and Experimental Medicine and MRC Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh EH4 2XU, UK
- Queensland Brain Institute, The University of Queensland, Brisbane 4072, QLD, Australia
| | - Ian J. Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK
- Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
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42
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Booth FW, Roberts CK, Thyfault JP, Ruegsegger GN, Toedebusch RG. Role of Inactivity in Chronic Diseases: Evolutionary Insight and Pathophysiological Mechanisms. Physiol Rev 2017; 97:1351-1402. [PMID: 28814614 PMCID: PMC6347102 DOI: 10.1152/physrev.00019.2016] [Citation(s) in RCA: 329] [Impact Index Per Article: 47.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2016] [Revised: 03/06/2017] [Accepted: 03/09/2017] [Indexed: 12/13/2022] Open
Abstract
This review proposes that physical inactivity could be considered a behavior selected by evolution for resting, and also selected to be reinforcing in life-threatening situations in which exercise would be dangerous. Underlying the notion are human twin studies and animal selective breeding studies, both of which provide indirect evidence for the existence of genes for physical inactivity. Approximately 86% of the 325 million in the United States (U.S.) population achieve less than the U.S. Government and World Health Organization guidelines for daily physical activity for health. Although underappreciated, physical inactivity is an actual contributing cause to at least 35 unhealthy conditions, including the majority of the 10 leading causes of death in the U.S. First, we introduce nine physical inactivity-related themes. Next, characteristics and models of physical inactivity are presented. Following next are individual examples of phenotypes, organ systems, and diseases that are impacted by physical inactivity, including behavior, central nervous system, cardiorespiratory fitness, metabolism, adipose tissue, skeletal muscle, bone, immunity, digestion, and cancer. Importantly, physical inactivity, itself, often plays an independent role as a direct cause of speeding the losses of cardiovascular and strength fitness, shortening of healthspan, and lowering of the age for the onset of the first chronic disease, which in turn decreases quality of life, increases health care costs, and accelerates mortality risk.
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Affiliation(s)
- Frank W Booth
- Department of Biomedical Sciences, University of Missouri, Columbia, Missouri; Department of Medical Pharmacology and Physiology, University of Missouri, Columbia, Missouri; Department of Nutrition and Exercise Physiology, University of Missouri, Columbia, Missouri; Dalton Cardiovascular Research Center, University of Missouri, Columbia, Missouri; Geriatrics, Research, Education and Clinical Center (GRECC), VA Greater Los Angeles Healthcare System, Los Angeles, California; Department of Molecular and Integrative Physiology, University of Kansas Medical Center, Kansas City, Kansas; and Cardiovascular Division, Department of Medicine, University of Missouri, Columbia, Missouri
| | - Christian K Roberts
- Department of Biomedical Sciences, University of Missouri, Columbia, Missouri; Department of Medical Pharmacology and Physiology, University of Missouri, Columbia, Missouri; Department of Nutrition and Exercise Physiology, University of Missouri, Columbia, Missouri; Dalton Cardiovascular Research Center, University of Missouri, Columbia, Missouri; Geriatrics, Research, Education and Clinical Center (GRECC), VA Greater Los Angeles Healthcare System, Los Angeles, California; Department of Molecular and Integrative Physiology, University of Kansas Medical Center, Kansas City, Kansas; and Cardiovascular Division, Department of Medicine, University of Missouri, Columbia, Missouri
| | - John P Thyfault
- Department of Biomedical Sciences, University of Missouri, Columbia, Missouri; Department of Medical Pharmacology and Physiology, University of Missouri, Columbia, Missouri; Department of Nutrition and Exercise Physiology, University of Missouri, Columbia, Missouri; Dalton Cardiovascular Research Center, University of Missouri, Columbia, Missouri; Geriatrics, Research, Education and Clinical Center (GRECC), VA Greater Los Angeles Healthcare System, Los Angeles, California; Department of Molecular and Integrative Physiology, University of Kansas Medical Center, Kansas City, Kansas; and Cardiovascular Division, Department of Medicine, University of Missouri, Columbia, Missouri
| | - Gregory N Ruegsegger
- Department of Biomedical Sciences, University of Missouri, Columbia, Missouri; Department of Medical Pharmacology and Physiology, University of Missouri, Columbia, Missouri; Department of Nutrition and Exercise Physiology, University of Missouri, Columbia, Missouri; Dalton Cardiovascular Research Center, University of Missouri, Columbia, Missouri; Geriatrics, Research, Education and Clinical Center (GRECC), VA Greater Los Angeles Healthcare System, Los Angeles, California; Department of Molecular and Integrative Physiology, University of Kansas Medical Center, Kansas City, Kansas; and Cardiovascular Division, Department of Medicine, University of Missouri, Columbia, Missouri
| | - Ryan G Toedebusch
- Department of Biomedical Sciences, University of Missouri, Columbia, Missouri; Department of Medical Pharmacology and Physiology, University of Missouri, Columbia, Missouri; Department of Nutrition and Exercise Physiology, University of Missouri, Columbia, Missouri; Dalton Cardiovascular Research Center, University of Missouri, Columbia, Missouri; Geriatrics, Research, Education and Clinical Center (GRECC), VA Greater Los Angeles Healthcare System, Los Angeles, California; Department of Molecular and Integrative Physiology, University of Kansas Medical Center, Kansas City, Kansas; and Cardiovascular Division, Department of Medicine, University of Missouri, Columbia, Missouri
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Murabito JM, Rong J, Lunetta KL, Huan T, Lin H, Zhao Q, Freedman JE, Tanriverdi K, Levy D, Larson MG. Cross-sectional relations of whole-blood miRNA expression levels and hand grip strength in a community sample. Aging Cell 2017; 16:888-894. [PMID: 28597569 PMCID: PMC5506437 DOI: 10.1111/acel.12622] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/27/2017] [Indexed: 12/12/2022] Open
Abstract
MicroRNAs (miRNAs) regulate gene expression with emerging data suggesting miRNAs play a role in skeletal muscle biology. We sought to examine the association of miRNAs with grip strength in a community-based sample. Framingham Heart Study Offspring and Generation 3 participants (n = 5668 54% women, mean age 55 years, range 24, 90 years) underwent grip strength measurement and miRNA profiling using whole blood from fasting morning samples. Linear mixed-effects regression modeling of grip strength (kg) versus continuous miRNA 'Cq' values and versus binary miRNA expression was performed. We conducted an integrative miRNA-mRNA coexpression analysis and examined the enrichment of biologic pathways for the top miRNAs associated with grip strength. Grip strength was lower in women than in men and declined with age with a mean 44.7 (10.0) kg in men and 26.5 (6.3) kg in women. Among 299 miRNAs interrogated for association with grip strength, 93 (31%) had FDR q value < 0.05, 54 (18%) had an FDR q value < 0.01, and 15 (5%) had FDR q value < 0.001. For almost all miRNA-grip strength associations, increasing miRNA concentration is associated with increasing grip strength. miR-20a-5p (FDR q 1.8 × 10-6 ) had the most significant association and several among the top 15 miRNAs had links to skeletal muscle including miR-126-3p, miR-30a-5p, and miR-30d-5p. The top associated biologic pathways included metabolism, chemokine signaling, and ubiquitin-mediated proteolysis. Our comprehensive assessment in a community-based sample of miRNAs in blood associated with grip strength provides a framework to further our understanding of the biology of muscle strength.
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Affiliation(s)
- Joanne M. Murabito
- The Framingham Heart StudyFraminghamMAUSA
- Department of Medicine, Section of General Internal MedicineBoston University School of MedicineBostonMAUSA
| | - Jian Rong
- Department of BiostatisticsBoston University School of Public HealthBostonMAUSA
| | - Kathryn L. Lunetta
- Department of BiostatisticsBoston University School of Public HealthBostonMAUSA
| | - Tianxiao Huan
- The Framingham Heart StudyFraminghamMAUSA
- The Population Sciences BranchDivision of Intramural Research, National Heart, Lung, and Blood InstituteNational Institutes of HealthBethesdaMDUSA
| | - Honghuang Lin
- Section of Computational BiomedicineDepartment of MedicineBoston University School of MedicineBostonMAUSA
| | - Qiang Zhao
- Department of BiostatisticsBoston University School of Public HealthBostonMAUSA
| | - Jane E. Freedman
- Cardiology DivisionDepartment of MedicineUniversity of Massachusetts Medical SchoolWorcesterMAUSA
| | - Kahraman Tanriverdi
- Cardiology DivisionDepartment of MedicineUniversity of Massachusetts Medical SchoolWorcesterMAUSA
| | - Daniel Levy
- The Framingham Heart StudyFraminghamMAUSA
- The Population Sciences BranchDivision of Intramural Research, National Heart, Lung, and Blood InstituteNational Institutes of HealthBethesdaMDUSA
| | - Martin G. Larson
- The Framingham Heart StudyFraminghamMAUSA
- Department of BiostatisticsBoston University School of Public HealthBostonMAUSA
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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: 109] [Impact Index Per Article: 15.6] [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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Balasubramanian P, Howell PR, Anderson RM. Aging and Caloric Restriction Research: A Biological Perspective With Translational Potential. EBioMedicine 2017; 21:37-44. [PMID: 28648985 PMCID: PMC5514430 DOI: 10.1016/j.ebiom.2017.06.015] [Citation(s) in RCA: 93] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2017] [Revised: 06/14/2017] [Accepted: 06/16/2017] [Indexed: 12/14/2022] Open
Abstract
Aging as a research pursuit is fairly new compared with traditional lines of medical research. A growing field of investigators is focused on understanding how changes in tissue biology, physiology, and systemic homeostasis, conspire to create increased vulnerability to disease as a function of age. Aging research as a discipline is necessarily broad; in part because aging itself is multi-faceted and in part because different model systems are employed to define the underlying biology. In this review we outline aspects of aging research that are likely to uncover the pivotal events leading to age-related disease vulnerability. We focus on studies of human aging and discuss the value of research on caloric restriction, an intervention with proven efficacy in delaying aging. We propose that studies such as these will deliver target factors and processes that create vulnerability in human aging, an advance that would potentially be transformative in clinical care.
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Affiliation(s)
- Priya Balasubramanian
- Department of Medicine, Division of Geriatrics and Gerontology, School of Medicine and Public Health, University of Wisconsin Madison, WI 53792, United States
| | - Porsha R Howell
- Department of Medicine, Division of Geriatrics and Gerontology, School of Medicine and Public Health, University of Wisconsin Madison, WI 53792, United States
| | - Rozalyn M Anderson
- Department of Medicine, Division of Geriatrics and Gerontology, School of Medicine and Public Health, University of Wisconsin Madison, WI 53792, United States; Geriatric Research, Education, and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, WI 53705, United States.
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46
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Effect of handgrip on coronary artery disease and myocardial infarction: a Mendelian randomization study. Sci Rep 2017; 7:954. [PMID: 28424468 PMCID: PMC5430422 DOI: 10.1038/s41598-017-01073-z] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2016] [Accepted: 03/27/2017] [Indexed: 11/26/2022] Open
Abstract
Observational studies have reported an association of handgrip strength with risk of cardiovascular disease. However, residual confounding and reverse causation may have influenced these findings. A Mendelian randomization (MR) study was conducted to examine whether handgrip is causally associated with cardiovascular disease. Two single nucleotide polymorphisms (SNPs), rs3121278 and rs752045, were used as the genetic instruments for handgrip. The effect of each SNP on coronary artery disease/myocardial infarction (CAD/MI) was weighted by its effect on handgrip strength, and estimates were pooled to provide a summary measure for the effect of increased handgrip on risk of CAD/MI. MR analysis showed that higher grip strength reduces risk for CAD/MI, with 1-kilogram increase in genetically determined handgrip reduced odds of CAD by 6% (odds ratio (OR) = 0.94, 95% confidence interval (CI) 0.91–0.99, P = 0.01), and reduced odds of MI by 7% (OR = 0.93, 95% CI 0.89–0.98, P = 0.003). No association of grip strength with type 2 diabetes, body mass index, LDL- and HDL-cholesterol, triglycerides and fasting glucose was found. The inverse causal relationship between handgrip and the risk of CAD or MI suggests that promoting physical activity and resistance training to improve muscle strength may be important for cardiovascular health.
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47
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Wyss-Coray T. Ageing, neurodegeneration and brain rejuvenation. Nature 2016; 539:180-186. [PMID: 27830812 PMCID: PMC5172605 DOI: 10.1038/nature20411] [Citation(s) in RCA: 653] [Impact Index Per Article: 81.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2016] [Accepted: 09/02/2016] [Indexed: 02/08/2023]
Abstract
Although systemic diseases take the biggest toll on human health and well-being, increasingly, a failing brain is the arbiter of a death preceded by a gradual loss of the essence of being. Ageing, which is fundamental to neurodegeneration and dementia, affects every organ in the body and seems to be encoded partly in a blood-based signature. Indeed, factors in the circulation have been shown to modulate ageing and to rejuvenate numerous organs, including the brain. The discovery of such factors, the identification of their origins and a deeper understanding of their functions is ushering in a new era in ageing and dementia research.
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Affiliation(s)
- Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Palo Alto, California 94304, USA
- Center for Tissue Regeneration, Repair and Restoration, VA Palo Alto Health Care System, Palo Alto, California 94304, USA
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