Submissions are open for the upcoming issue.

Molecular Medicine Peer-reviewed scientific journal

Molecular Medicine

ОБЗОР2021, No. 1

MOLECULAR AND GENETIC MARKERS OF SARKOPENIA

Kucher A.N.

Authors and affiliations

A.N. Kucher Research Institute of Medical Genetics, Tomsk National Research Medical Center, Russian Academy of Science, Ushaika Embankment, 10, Tomsk, 634050, Russian Federation Е-mail: aksana.kucher@medgenetics.ru

Published
2021
Section
ОБЗОР
Обложка журнала «Молекулярная медицина», 2021, № 1Issue2021, No. 1Go to the issue →
How to cite

Abstract

Sarcopenia is a progressive and generalized pathology of skeletal muscles of multi-factor nature. The present review focuses on the analysis of molecular genetic markers that may contribute both to sarcopenia risk formation and the variability of diagnostically relevant signs for a given disease. According to GWAS, polymorphic variants of 369 genes are associated with such a diagnostically significant sign for sarcopenia as “muscle mass”. According to information provided in the database «DisGeNet» on sarcopenia-associated genes, and in «Gene Ontology» on genes involved in regulation of muscle atrophy (GO:0014737, GO:0014732, GO:0014736) and muscle regeneration (GO:0014839), 69 genes can be considered as candidate sarcopenia genes. Genes associated with muscle mass and candidate genes for sarcopenia have pleiotropic properties, are involved in the regulation of a wide range of biological processes (including the metabolism of hormones, carbohydrates, lipids, proteins; response to stimuli (sex hormones, nutrients), in the regulation of gene expression , protein/serine kinase activity and MAPK signaling pathway); these genes are associated with multi-factorial diseases that are comorbid with sarcopenia; sensitive or determine the response to drugs, hormones, nutrienes (including creatine, corticosteroids, aldosterone, aldosterone antagonists, metformin, protein. Differences are recorded between healthy individuals and sarcopenia sufferers in the level of DNA methylation and in the level of gene expression (including in muscles), the products of which are involved in metabolic pathways significant for maintaining homeostasis in muscles. The methylation pattern and the level of gene expression is influenced by a wide range of factors, including the age of individuals, their hormonal background, the level of physical activity and the type of physical exercise, the consumption of nutrients. Thus, by now, a wide range of molecular genetic markers have been identified at the genomic, epigenome, and transcriptomic levels, which, along with traditional risk factors (and in interaction with them), can contribute to the risk of developing sarcopenia

Keywords

Authors and affiliations

A.N. Kucher Research Institute of Medical Genetics, Tomsk National Research Medical Center, Russian Academy of Science, Ushaika Embankment, 10, Tomsk, 634050, Russian Federation Е-mail: aksana.kucher@medgenetics.ru

References

Cruz-Jentoft A.J., Bahat G., Bauer J., Boirie Y., Bruyère O., Cederholm T., Cooper C., Landi F., Rolland Y., Sayer A.A., Schneider S.M., Sieber C.C., Topinkova E., Vandewoude M., Visser M., Zamboni M.; Writing Group for the European Working Group on Sarcopenia in Older People 2 (EWGSOP2), and the Extended Group for EWGSOP2. Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing. 2019; 48 (1): 16–31. https://doi.org/10.1093/ageing/afy169

Gomes M.J., Martinez P.F., Pagan L.U., Damatto R.L., Cezar M.D.M., Lima A.R.R., Okoshi K., Okoshi M.P. Skeletal muscle aging: influence of oxidative stress and physical exercise. Oncotarget. 2017; 8 (12): 20428–40. https://doi.org/10.18632/oncotarget.14670

Melouane A., Ghanemi A., Yoshioka M., St-Amand J. Functional genomics applications and therapeutic implications in sarcopenia. Mutat Res. 2019; 781: 175–85. https://doi.org/10.1016/j.mrrev.2019.04.003

Sgrò P., Sansone M., Sansone A., Sabatini S., Borrione P., Romanelli F., Di Luigi L. Physical exercise, nutrition and hormones: three pillars to fight sarcopenia. Aging Male. 2019; 22 (2): 75–88. https://doi.org/10.1080/13685538.2018.1439004

Tan L.J., Liu S.L., Lei S.F., Papasian C.J., Deng H.W. Molecular genetic studies of gene identification for sarcopenia. Hum Genet. 2012; 131 (1): 1–31. https://doi.org/10.1007/s00439-011-1040-7

Korostishevsky M., Steves C.J., Malkin I., Spector T., Williams F.M., Livshits G. Genomics and metabolomics of muscular mass in a community-based sample of UK females Genomics and metabolomics of muscular mass in a community-based sample of UK females. Eur J Hum Genet. 2016; 24 (2): 277–83. https://doi.org/10.1038/ejhg.2015.85

Garatachea N., Lucia A. Genes, physical fitness and ageing. Ageing Res Rev. 2013; 12 (1): 90–102. https://doi.org/10.1016/j.arr.2012.09.003

Zhai G., Ding C., Stankovich J., Cicuttini F., Jones G. The genetic contribution to longitudinal changes in knee structure and muscle strength: a sibpair study. Arthritis Rheum. 2005; 52 (9): 2830–4. https://doi.org/10.1002/art.21267

GWAS Catalog – EMBL-EBI. [Elektronnyj resurs] URL: https://www.ebi.ac.uk/gwas/ (data obraschenija – nojabr' 2019 g.).

He L., Khanal P., Morse C.I., Williams A., Thomis M. Differentially methylated gene patterns between age-matched sarcopenic and non-sarcopenic women. J Cachexia Sarcopenia Muscle. 2019; 10 (6): 1295–306. https://doi.org/10.1002/jcsm.12478

The Gene Ontology (GO) knowledgebase [Elektronnyj resurs] URL: http://geneontology.org/ (data obraschenija – mart 2020 g.).

Protein knowledgebase UniProtKB. [Elektronnyj resurs] URL: https://www.uniprot.org/ (data obraschenija – janvar' 2020 g.).

DisGeNET Database 6.0. [Elektronnyj resurs] URL: https://www.disgenet.org/ (data obraschenija – janvar' 2020 g.).

The PANTHER (Protein ANalysis THrough Evolutionary Relationships) Classification System [Elektronnyj resurs] http://www.pantherdb.org/ (data obraschenija mart 2020 g.)

Wang J., Vasaikar S., Shi Z., Greer M., Zhang B. WebGestalt 2017: a more comprehensive, powerful, flexible and interactive gene set enrichment analysis toolkit. Nucleic Acids Res. 2017; 45 (1): 130–7. https://doi.org/10.1093/nar/gkx356

WEB-based GEne SeT AnaLysis Toolkit (WebGestalt). [Elektronnyj resurs]. Dr. Bing Zhang’s Lab at the Baylor College of Medicine. 2005 [updated 2019] URL: http://www.webgestalt.org/ (data obraschenija dekabr' 2019 g.)

Lu Y., Karagounis L.G., Ng T.P., Carre C., Narang V., Wong G., Tan C.T.Y., Zin Nyunt M.S., Gao Q., Abel B., Poidinger M., Fulop T., Bosco N., Larbi A. Systemic and metabolic signature of sarcopenia in Community-Dwelling Older Adults. J. Gerontol A Biol. Sci Med Sci. 2020; 75 (2): 309–17. https://doi.org/10.1093/gerona/glz001

Lustgarten M.S., Price L.L., Phillips E.M., Kirn D.R., Mills J., Fielding R.A. Serum predictors of percent lean mass in young adults. J Strength Cond Res. 2016; 30 (8): 2194–201. https://doi.org/10.1519/JSC.0b013e31829eef24

Online Mendelian Inheritance in Man [Elektronnyj resurs] URL: https://www.omim.org/ (data obraschenija – aprel' 2020 g.)

Deepa S.S., Van Remmen H., Brooks S.V., Faulkner J.A., Larkin L., McArdle A., Jackson M.J., Vasilaki A., Richardson A. Accelerated sarcopenia in Cu/Zn superoxide dismutase knockout mice. Free Radic Biol. Med. 2019; 132: 19–23. https://doi.org/10.1016/j.freeradbiomed.2018.06.032

Medvedev N.V., Gorshunova N.K. Vozrast-assotsiirovannaja sarkopenija kak faktor riska razvitija miokardial'noj disfunktsii i hronicheskoj serdechnoj nedostatochnosti u bol'nyh pozhilogo vozrasta s arterial'noj gipertenziej. Uspehi gerontologii. 2012; 25 (3): 456–60.

[Medvedev N.V., Gorshunova N.K. Age-related sarcopenia as the risk factor of development myocardial dysfunction and chronic heart failure in elderly patients with arterial hypertension. Advances in Gerontology. Adv Gerontol. 2012; 25 (3): 456–60 (in Russian)]

Tasca G., Lattante S., Marangi G., Conte A., Bernardo D., Bisogni G., Mandich P., Zollino M., Ragozzino E., Udd B., Sabatelli M. SOD1 p.D12Y variant is associated with ALS/distal myopathy spectrum. Eur. J. Neurol. 2020; 10.1111/ene.14246. https://doi.org/10.1111/ene.14246

Ding F., Dokholyan N.V. Dynamical roles of metal ions and the disulfide bond in Cu, Zn superoxide dismutase folding and aggregation. Proc Natl Acad Sci USA. 2008; 105 (50): 19696–701. https://doi.org/10.1073/pnas.0803266105

Skal'nyj A.V., Rudakov I.A. Bioelementy v meditsine. M.: Izdatel'skij dom «ONIKS 21 vek»: Mir, 2004; 272.

Kucher A.N. Gen-sredovye vzaimodejstvija kak osnova formirovanija zdorov'ja. Ekologicheskaja genetika. 2017; 15 (4): 19–32. https://doi.org/ 10.17816/ecogen15419-32

[Kucher A.N. Gene-environment interactions as the basis of health formation. Ekologicheskaya genetika. 2017; 15 (4): 19–32 (in Russian)]

Pacifico J., Geerlings M.A.J., Reijnierse E.M., Phassouliotis C., Lim W.K., Maier A.B. Prevalence of sarcopenia as a comorbid disease: A systematic review and meta-analysis. Exp. Gerontol. 2020; 131: 110801. https://doi.org/10.1016/j.exger.2019.110801

Musumeci G. Sarcopenia and Exercise “The State of the Art”. J. Funct. Morphol. Kinesiol. 2017; 2: 40. https://doi.org/10.3390/jfmk2040040

Cao Y., Zhong M., Zhang Y. Zheng Z., Liu Y., Ni X., Han L., Song M., Zhang W., Wang Z. Presarcopenia is an independent risk factor for carotid atherosclerosis in Chinese population with metabolic syndrome. Diabetes, metabolic syndrome and obesity: targets and therapy. 2020; 13, 81–8. https://doi.org/10.2147/DMSO.S235335

Gur'eva I.V., Onuchina Ju.S., Dymochka M.A., Schelykalina S.P., Begma I.V. Osobennosti sarkopenii i sostava tela na osnovanii bioimpedansometrii u patsientov s saharnym diabetom 2 tipa. Voprosy dietologii. 2017; 7 (3): 11–9. https://doi.org/10.20953/2224-5448-2017-3-11-19.

[Gurieva I.V., Onuchina Y.S., Dymochka M.A., Shchelykalina S.P., Begma I.V. Features of sarcopenia and body composition on the basis of bioimpedance measurements in patients with type 2 diabetes mellitus. Voprosy dietologii. 2017; 7 (3): 11–9 (in Russian)]

Ryan A.J., Ciaraldi T.P., Henry R.R. Myokine Regulation of Insulin Secretion: Impact of Inflammation and Type 2 Diabetes. Front Physiol. 2020; 10: 1608. https://doi.org/10.3389/fphys.2019.01608

Zhu S., Tian Z., Torigoe D., Zhao J., Xie P., Sugizaki T., Sato M., Horiguchi H., Terada K., Kadomatsu T., Miyata K., Oike Y. Aging- and obesity-related peri-muscular adipose tissue accelerates muscle atrophy. PLoS One. 2019; 14 (8): e0221366. https://doi.org/10.1371/journal.pone.0221366

Hansen M. Female hormones: do they influence muscle and tendon protein metabolism? Proc Nutr Soc. 2018; 77 (1): 32–41. https://doi.org/10.1017/S0029665117001951

Collins B.C., Laakkonen E.K., Lowe D.A. Aging of the musculoskeletal system: How the loss of estrogen impacts muscle strength. Bone. 2019; 123: 137–44. https://doi.org/10.1016/j.bone.2019.03.033

Pronsato L., Milanesi L., Vasconsuelo A., La Colla A. Testosterone modulates FoxO3a and p53-related genes to protect C2C12 skeletal muscle cells against apoptosis. Steroids. 2017; 124: 35–45. https://doi.org/10.1016/j.steroids.2017.05.012

Dieli-Conwright C.M., Spektor T.M., Rice J.C., Sattler F.R., Schroeder E.T. Influence of hormone replacement therapy on eccentric exercise induced myogenic gene expression in postmenopausal women. J. Appl Physiol (1985). 2009; 107 (5): 1381–1388. https://doi.org/10.1152/japplphysiol.00590.2009

Montano M., Flanagan J.N., Jiang L., Sebastiani P.., Rarick M., LeBrasseur N.K., Morris C.A., Jasuja R., Bhasin S. Transcriptional profiling of testosterone-regulated genes in the skeletal muscle of human immunodeficiency virus-infected men experiencing weight loss. J Clin Endocrinol Metab. 2007; 92 (7): 2793–802. https://doi.org/10.1210/jc.2006-2722

Pollanen E., Ronkainen P.H., Suominen H., Takala T., Koskinen S., Puolakka J., Sipilä S., Kovanen V. Muscular transcriptome in postmenopausal women with or without hormone replacement. Rejuvenation Res. 2007; 10 (4): 485–500. https://doi.org/10.1089/rej.2007.0536

Sato A.Y., Richardson D., Cregor M., Davis H.M., Au E.D., McAndrews K., Zimmers T.A., Organ J.M., Peacock M., Plotkin L.I., Bellido T. Glucocorticoids induce bone and muscle atrophy by tissue-specific mechanisms upstream of E3 ubiquitin ligases. Endocrinology. 2017; 58 (3): 664–77. https://doi.org/10.1210/en.2016-1779

Walsh S., Ludlow A.T., Metter E.J., Ferrucci L., Roth S.M. Replication study of the vitamin D receptor (VDR) genotype association with skeletal muscle traits and sarcopenia. Aging Clin Exp Res. 2016; 28 (3): 435–42. https://doi.org/10.1007/s40520-015-0447-8

Martin E.M., Fry R.C. Environmental influences on the epigenome: exposure- associated DNA methylation in human populations. Annu Rev Public Health. 2018; 39: 309–33. https://doi.org/10.1146/annurev-publhealth-040617-014629

McKay J.A., Mathers J.C. Diet induced epigenetic changes and their implications for health. Acta Physiol (Oxf). 2011; 202 (2): 103–18. https://doi.org/10.1111/j.1748-1716.2011.02278.x

Gensous N., Bacalini M.G., Franceschi C., Meskers C.G.M., Maier A.B., Garagnan P. Age-related DNA methylation changes: potential impact on skeletal muscle aging in humans. Front Physiol. 2019; 10: 996. https://doi.org/10.3389/fphys.2019.00996

Sailani M.R., Halling J.F., Møller H.D., Lee H., Plomgaard P., Pilegaard H., Snyder M.P., Regenberg B. Lifelong physical activity is associated with promoter hypomethylation of genes involved in metabolism, myogenesis, contractile properties and oxidative stress resistance in aged human skeletal muscle. Sci Rep. 2019; 9 (1): 3272. https://doi.org/10.1038/s41598-018-37895-8

Ter Borg S., de Groot L.C., Mijnarends D.M., de Vries J.H., Verlaan S., Meijboom S., Luiking Y.C., Schols J.M. Differences in nutrient intake and biochemical nutrient status between sarcopenic and nonsarcopenic older adults-results from the Maastricht Sarcopenia Study. J. Am. Med. Dir Assoc. 2016; 17 (5): 393–401. https://doi.org/10.1016/j.jamda.2015.12.015

Majumder A., Behera J., Jeremic N., Tyagi S.C. Hypermethylation: Causes and Consequences in Skeletal Muscle Myopathy. J. Cell Biochem. 2017; 118 (8): 2108–17. https://doi.org/10.1002/jcb.25841

Turner D.C., Seaborne R.A., Sharples A.P. Comparative transcriptome and methylome analysis in human skeletal muscle anabolism, hypertrophy and epigenetic memory. Sci Rep. 2019; 9 (1): 4251. https://doi.org/10.1038/s41598-019-40787-0

Zheng Y., Kong J., Li Q., Wang Y., Li J. Role of miRNAs in skeletal muscle aging. Clin Interv Aging. 2018; 13: 2407–19. https://doi.org/10.2147/CIA.S169202

Rusanova I., Diaz-Casado M.E., Fernández-Ortiz M., Aranda-Martinez P., Guerra-Librero A., Garcia-Garcia F.J., Escames G., Mañas L., Acuña-Castroviejo D. Analysis of Plasma MicroRNAs as Predictors and Biomarkers of Aging and Frailty in Humans. Oxid Med Cell Longev. 2018; 2018: 7671850. https://doi.org/10.1155/2018/7671850

Iannone F., Montesanto A., Cione E., Crocco P., Caroleo M.C., Dato S., Rose G., Passarino G. Expression Patterns of Muscle-Specific miR-133b and miR-206 Correlate with Nutritional Status and Sarcopenia. Nutrients. 2020; 12 (2): pii: E297. https://doi.org/10.3390/nu12020297

He N., Zhang Y.L., Zhang Y., Feng B., Zheng Z., Wang D., Zhang S., Guo Q., Ye H. Circulating MicroRNAs in Plasma Decrease in Response to Sarcopenia in the Elderly. Front Genet. 2020; 11: 167. https://doi.org/10.3389/fgene.2020.00167

Russell A.P. Lamon S., Boon H., Wada S., Güller I., Brown E.L., Chibalin A.V., Zierath J.R., Snow R.J., Stepto N., Wadley G.D., Akimoto T. Regulation of miRNAs in human skeletal muscle following acute endurance exercise and short-term endurance training. J. Physiol. 2013; 591: 4637–53. https://doi.org/10.1113/jphysiol.2013.255695

Margolis L.M., Rivas D.A. Potential role of MicroRNA in the anabolic capacity of skeletal muscle with aging. Exerc Sport Sci Rev. 2018; 46 (2): 86–91. https://doi.org/10.1249/JES.0000000000000147

Camera D.M., Ong J.N., Coffey V.G., Hawley J.A. Selective modulation of microRNA expression with protein ingestion following concurrent resistance and endurance exercise in human skeletal muscle. Front Physiol. 2016; 7: 87. https://doi.org/10.3389/fphys.2016.00087

Margolis L.M., McClung H.L., Murphy N.E., Carrigan C.T., Pasiakos S.M. Skeletal muscle myomiR are differentially expressed by endurance exercise mode and combined essential amino acid and carbohydrate supplementation. Front. Physiol. 2017; 23: 182. https://doi.org/10.3389/fphys.2017.00182

Pattison J.S., Folk L.C., Madsen R.W., Childs T.E., Booth F.W. Transcriptional profiling identifies extensive downregulation of extracellular matrix gene expression in sarcopenic rat soleus muscle. Physiol Genomics. 2003; 15 (1): 34–43. https://doi.org/10.1152/physiolgenomics.00040.2003

Jeong H.O., Park D., Im E., Lee J., Im D.S., Chung H.Y. Determination of the mechanisms that cause sarcopenia through cDNA microarray. J Frailty Aging. 2017; 6 (2): 97–102. https://doi.org/10.14283/jfa.2017.13

Shafiee G., Asgari Y., Soltani A., Larijani B., Heshmat R. Identification of candidate genes and proteins in aging skeletal muscle (sarcopenia) using gene expression and structural analysis. PeerJ. 2018; 6: e5239. https://doi.org/10.7717/peerj.5239

Giresi P.G., Stevenson E.J., Theilhaber J., Koncarevic A., Parkington J., Fielding R.A., Kandarian S.C. Identification of a molecular signature of sarcopenia. Physiol Genomics. 2005; 21 (2): 253–63. https://doi.org/10.1152/physiolgenomics.00249.2004

Byrne C.A., McNeil A.T.., Koh T.J., Brunskill A.F., Fantuzzi G. Expression of genes in the skeletal muscle of individuals with cachexia/sarcopenia: A systematic review. PLoS One. 2019; 14 (9): e0222345. https://doi.org/10.1371/journal.pone.0222345

Shen Y., Zhang R., Xu L., Wan Q., Zhu J., Gu J., Huang Z., Ma W., Shen M., Ding F., Sun H. Microarray analysis of gene expression provides new insights into denervation-induced skeletal muscle atrophy. Front Physiol. 2019; 10: 1298. https://doi.org/10.3389/fphys.2019.01298

Yang A., Lv Q., Chen F., Wang Y., Liu Y., Shi W., Liu Y., Wang D. The effect of vitamin D on sarcopenia depends on the level of physical activity in older adults. J. Cachexia Sarcopenia Muscle. 2020. https://doi.org/10.1002/jcsm.12545

Liao Z.Y., Chen J.L., Xiao M.H., Sun Y., Zhao Y.X., Pu D., Lv A.K., Wang M.L., Zhou J., Zhu S.Y., Zhao K.X., Xiao Q. The effect of exercise, resveratrol or their combination on Sarcopenia in aged rats via regulation of AMPK/Sirt1 pathway. Exp Gerontol. 2017; 98: 177–83. https://doi.org/10.1016/j.exger.2017.08.032

Kapilevich L.V., Zakharova A.N., Kabachkova A.V., Kironenko T.A., Dyakova E.Y., Orlov S.N. Changes in the plasma levels of myokines after different physical exercises in athletes and untrained individuals. Human Physiology. 2017; 43 (3): 312–9. https://doi.org/10.1134/S0362119717030070

How to cite

Kucher A.N. (2021). MOLECULAR AND GENETIC MARKERS OF SARKOPENIA. Molecular Medicine, (1). https://doi.org/10.29296/24999490-2021-01-03

Article search and quick navigation

Navigation