Literature DB >> 32745616

Team sport, power, and combat athletes are at high genetic risk for coronavirus disease-2019 severity.

Ildus I Ahmetov1, Oleg V Borisov2, Ekaterina A Semenova3, Oleg N Andryushchenko4, Liliya B Andryushchenko5, Edward V Generozov3, Craig Pickering6.   

Abstract

Entities:  

Mesh:

Year:  2020        PMID: 32745616      PMCID: PMC7498656          DOI: 10.1016/j.jshs.2020.07.010

Source DB:  PubMed          Journal:  J Sport Health Sci        ISSN: 2213-2961            Impact factor:   7.179


× No keyword cloud information.
Dear editor, As government restrictions put in place to slow the acceleration of the coronavirus disease-2019 (COVID-19) pandemic start to ease, many people, including elite athletes, will begin to return back to their normal daily activities. Although the majority of risk factors for severe COVID-19hypertension, respiratory system disease, obesity, older age, and cardiovascular disease—are exceptionally rare in elite athletes, when athletes train in groups or common training areas, they are not immune from contracting the illness; and, although the subsequent risk of death is low, it is not zero. It has been estimated that 22% of the global population are at increased risk of severe COVID-19 if infected. Precisely because elite athletes are generally young, fit, and healthy, the identification of high-risk individuals within this cohort is likely to be difficult, requiring a multidisciplinary approach. One area with potential early promise is that of genetic testing, with a number of genetic variants tentatively associated with an increased susceptibility to, and an increased chance of complications from, contracting COVID-19., So far, 4 studies4, 5, 6, 7 have shown that at least 6 DNA polymorphisms might be implicated in COVID-19 severity, with the ABO blood group (ABO) rs657152 A, angiotensin I converting enzyme (ACE) D, apolipoprotein E (APOE) rs429358 C, leucine zipper transcription factor like 1 (LZTFL1) rs11385942 GA, transmembrane protein 189-ubiquitin-conjugating enzyme E2 variant 1 (TMEM189-UBE2V1) rs6020298 A, and transmembrane serine protease 2 (TMPRSS2) rs12329760 C alleles being considered as risk factors (Supplementary Table 1). According to the UK Biobank cohort, these risk alleles are also associated with immune system disorders (ABO, LZTFL1, TMEM189-UBE2V1), thrombosis (ABO), hypertension (ACE, TMPRSS2), dementia (APOE), obesity (ACE, APOE), respiratory disorders (ABO, TMPRSS2), and dyslipidemia (APOE) (Supplementary Table 1). Interestingly, these risk alleles are also associated with performance-related traits (Supplementary Table 2), with 4 risk alleles showing favorable effects on endurance and/or power. It is well-established that genetic and phenotypic variations may have pleiotropic effects. For example, a high percentage of type II muscle fibers is positively correlated with power performance, but is considered as a risk factor for the development of obesity, diabetes, and hypertension, which explains why former endurance athletes have lower rates of coronary heart disease and obesity compared with power athletes. This can be considered a result of natural selection due to the pleiotropic effect of genes, rather than a negative effect of power performance on the health of athletes. We thus hypothesized that polygenic risk scores for COVID-19 severity based on 6 DNA polymorphisms may vary across different sporting groups (endurance and power oriented). Using the 1000 Genomes database and our own data of 802 Russian elite athletes and 224 controls (Supplementary Table 3 and Supplementary Methods), we first identified the proportion of subjects with increased risk in each population. For this, we classified all subjects according to the number of risk alleles they possessed (e.g., carriers of ABO CC, ACE II, APOE TT, LZTFL1 GG, TMEM189-UBE2V1 GG, and TMPRSS2 TT genotypes had zero risk alleles, and subjects with ABO AA, ACE DD, APOE CC, LZTFL1 GA/GA, TMEM189-UBE2V1 AA, and TMPRSS2 CC genotypes had 12 risk alleles). About one-half of Russian controls (47.3%) were carriers of 5 or more risk alleles. This value therefore was considered as a threshold for further analysis. Long-distance athletes had the lowest proportion of subjects with genotype scores (i.e., ≥5 alleles) indicative of increased risk (odd ratio (OR) = 1.07, p = 0.802 compared to controls). In comparison, other athletes had a greater proportion of individuals with high risk genotype scores. Specifically, middle-distance (OR = 1.58, p = 0.04), combat (OR = 1.63, p = 0.048), and power (OR = 1.74, p = 0.0036) athletes, as well as team sport players (OR = 1.89, p = 0.0005) had a significantly higher proportion of subjects with increased genetic risk compared to controls (Table 1). Interestingly, the polygenic risk scores show a significant geographical variation, putting some countries at greater risk than others (Table 1).
Table 1

Proportion of subjects with increased risk for COVID-19 severity.

GroupnProportion of subjects with high number of risk alleles (%)
Russian cohorts
 Russian long-distance athletes9048.9
 Russian middle-distance athletes12658.7*
 Russian combat athletes9659.4*
 Russian power athletes22861.0*
 Russian team sport players26263.0*
 Russian controls22447.3
Other populations
 Americans (African ancestry)6168.9
 Americans (European ancestry)9959.6
 Bangladesh8659.3
 Barbados9682.3
 British9153.8
 Chinese30128.6
 Colombian9454.3
 Finnish9960.6
 Gambian11380.5
 Indian20556.6
 Italian10771.0
 Japanese10441.3
 Kenyan9981.8
 Mexican6445.3
 Nigerian20782.1
 Pakistani9656.3
 Peruvian8552.9
 Puerto Rican10453.8
 Sierra Leone8589.4
 Spanish10759.8
 Sri Lankan10251.0
 Vietnamese9938.4

p <0.05, statistically significant differences between Russian athletes and controls.

Abbreviation: COVID-19 = coronavirus disease-2019.

Proportion of subjects with increased risk for COVID-19 severity. p <0.05, statistically significant differences between Russian athletes and controls. Abbreviation: COVID-19 = coronavirus disease-2019. In conclusion, we identified that team sport, power, and combat athletes possess a higher genetic risk for COVID-19 severity than untrained subjects or endurance athletes. We suggest that genetic testing, alongside more well-established health-related information like vitamin D status, might be useful to determine the individual risk profiles of each athlete.

Authors’ contributions

IIA conceived and designed the study, performed analysis, and drafted the manuscript; OVB and EVG carried out data collection, interpreted data, and critically revised the manuscript; EAS, ONA, and LBA performed analysis and critically revised the manuscript; CP performed analysis and drafted the manuscript. All authors have read and approved the final version of the manuscript, and agree with the order of presentation of the authors.

Competing interests

The authors declare that they have no competing interests.
  8 in total

1.  Natural selection to sports, later physical activity habits, and coronary heart disease.

Authors:  U M Kujala; S Sarna; J Kaprio; H O Tikkanen; M Koskenvuo
Journal:  Br J Sports Med       Date:  2000-12       Impact factor: 13.800

Review 2.  Gene polymorphisms and fiber-type composition of human skeletal muscle.

Authors:  Ildus I Ahmetov; Olga L Vinogradova; Alun G Williams
Journal:  Int J Sport Nutr Exerc Metab       Date:  2012-05-10       Impact factor: 4.599

3.  Presenting Characteristics, Comorbidities, and Outcomes Among 5700 Patients Hospitalized With COVID-19 in the New York City Area.

Authors:  Safiya Richardson; Jamie S Hirsch; Mangala Narasimhan; James M Crawford; Thomas McGinn; Karina W Davidson; Douglas P Barnaby; Lance B Becker; John D Chelico; Stuart L Cohen; Jennifer Cookingham; Kevin Coppa; Michael A Diefenbach; Andrew J Dominello; Joan Duer-Hefele; Louise Falzon; Jordan Gitlin; Negin Hajizadeh; Tiffany G Harvin; David A Hirschwerk; Eun Ji Kim; Zachary M Kozel; Lyndonna M Marrast; Jazmin N Mogavero; Gabrielle A Osorio; Michael Qiu; Theodoros P Zanos
Journal:  JAMA       Date:  2020-05-26       Impact factor: 56.272

4.  Genomewide Association Study of Severe Covid-19 with Respiratory Failure.

Authors:  David Ellinghaus; Frauke Degenhardt; Luis Bujanda; Maria Buti; Agustín Albillos; Pietro Invernizzi; Javier Fernández; Daniele Prati; Guido Baselli; Rosanna Asselta; Marit M Grimsrud; Chiara Milani; Fátima Aziz; Jan Kässens; Sandra May; Mareike Wendorff; Lars Wienbrandt; Florian Uellendahl-Werth; Tenghao Zheng; Xiaoli Yi; Raúl de Pablo; Adolfo G Chercoles; Adriana Palom; Alba-Estela Garcia-Fernandez; Francisco Rodriguez-Frias; Alberto Zanella; Alessandra Bandera; Alessandro Protti; Alessio Aghemo; Ana Lleo; Andrea Biondi; Andrea Caballero-Garralda; Andrea Gori; Anja Tanck; Anna Carreras Nolla; Anna Latiano; Anna Ludovica Fracanzani; Anna Peschuck; Antonio Julià; Antonio Pesenti; Antonio Voza; David Jiménez; Beatriz Mateos; Beatriz Nafria Jimenez; Carmen Quereda; Cinzia Paccapelo; Christoph Gassner; Claudio Angelini; Cristina Cea; Aurora Solier; David Pestaña; Eduardo Muñiz-Diaz; Elena Sandoval; Elvezia M Paraboschi; Enrique Navas; Félix García Sánchez; Ferruccio Ceriotti; Filippo Martinelli-Boneschi; Flora Peyvandi; Francesco Blasi; Luis Téllez; Albert Blanco-Grau; Georg Hemmrich-Stanisak; Giacomo Grasselli; Giorgio Costantino; Giulia Cardamone; Giuseppe Foti; Serena Aneli; Hayato Kurihara; Hesham ElAbd; Ilaria My; Iván Galván-Femenia; Javier Martín; Jeanette Erdmann; Jose Ferrusquía-Acosta; Koldo Garcia-Etxebarria; Laura Izquierdo-Sanchez; Laura R Bettini; Lauro Sumoy; Leonardo Terranova; Leticia Moreira; Luigi Santoro; Luigia Scudeller; Francisco Mesonero; Luisa Roade; Malte C Rühlemann; Marco Schaefer; Maria Carrabba; Mar Riveiro-Barciela; Maria E Figuera Basso; Maria G Valsecchi; María Hernandez-Tejero; Marialbert Acosta-Herrera; Mariella D'Angiò; Marina Baldini; Marina Cazzaniga; Martin Schulzky; Maurizio Cecconi; Michael Wittig; Michele Ciccarelli; Miguel Rodríguez-Gandía; Monica Bocciolone; Monica Miozzo; Nicola Montano; Nicole Braun; Nicoletta Sacchi; Nilda Martínez; Onur Özer; Orazio Palmieri; Paola Faverio; Paoletta Preatoni; Paolo Bonfanti; Paolo Omodei; Paolo Tentorio; Pedro Castro; Pedro M Rodrigues; Aaron Blandino Ortiz; Rafael de Cid; Ricard Ferrer; Roberta Gualtierotti; Rosa Nieto; Siegfried Goerg; Salvatore Badalamenti; Sara Marsal; Giuseppe Matullo; Serena Pelusi; Simonas Juzenas; Stefano Aliberti; Valter Monzani; Victor Moreno; Tanja Wesse; Tobias L Lenz; Tomas Pumarola; Valeria Rimoldi; Silvano Bosari; Wolfgang Albrecht; Wolfgang Peter; Manuel Romero-Gómez; Mauro D'Amato; Stefano Duga; Jesus M Banales; Johannes R Hov; Trine Folseraas; Luca Valenti; Andre Franke; Tom H Karlsen
Journal:  N Engl J Med       Date:  2020-06-17       Impact factor: 91.245

5.  APOE e4 Genotype Predicts Severe COVID-19 in the UK Biobank Community Cohort.

Authors:  Chia-Ling Kuo; Luke C Pilling; Janice L Atkins; Jane A H Masoli; João Delgado; George A Kuchel; David Melzer
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2020-10-15       Impact factor: 6.053

6.  Global, regional, and national estimates of the population at increased risk of severe COVID-19 due to underlying health conditions in 2020: a modelling study.

Authors:  Andrew Clark; Mark Jit; Charlotte Warren-Gash; Bruce Guthrie; Harry H X Wang; Stewart W Mercer; Colin Sanderson; Martin McKee; Christopher Troeger; Kanyin L Ong; Francesco Checchi; Pablo Perel; Sarah Joseph; Hamish P Gibbs; Amitava Banerjee; Rosalind M Eggo
Journal:  Lancet Glob Health       Date:  2020-06-15       Impact factor: 26.763

7.  Low serum 25-hydroxyvitamin D (25[OH]D) levels in patients hospitalized with COVID-19 are associated with greater disease severity.

Authors:  Grigorios Panagiotou; Su Ann Tee; Yasir Ihsan; Waseem Athar; Gabriella Marchitelli; Donna Kelly; Christopher S Boot; Nadia Stock; James Macfarlane; Adrian R Martineau; Graham Burns; Richard Quinton
Journal:  Clin Endocrinol (Oxf)       Date:  2020-08-06       Impact factor: 3.523

  8 in total
  4 in total

1.  Risk Factors for Contracting COVID-19 and Changes in Menstrual and Sleep Cycles in Japanese Female Athletes during the COVID-19 Pandemic.

Authors:  Yuka Tsukahara; Yuka Hieda; Satomi Takayanagi; Aleksandra Macznik
Journal:  Sports (Basel)       Date:  2022-07-28

2.  Gene Polymorphism and Total Genetic Score in Martial Arts Athletes with Different Athletic Qualifications.

Authors:  Anna Vostrikova; Victoria Pechenkina; Maria Danilova; Svetlana Boronnikova; Ruslan Kalendar
Journal:  Genes (Basel)       Date:  2022-09-19       Impact factor: 4.141

3.  Different Effects of the COVID-19 Pandemic on Exercise Indexes and Mood States Based on Sport Types, Exercise Dependency and Individual Characteristics.

Authors:  Alireza Aghababa; Georgian Badicu; Zahra Fathirezaie; Hadi Rohani; Maghsoud Nabilpour; Seyed Hojjat Zamani Sani; Elham Khodadadeh
Journal:  Children (Basel)       Date:  2021-05-24

4.  Genetic Risk and Chronic Obstructive Pulmonary Disease Independently Predict the Risk of Incident Severe COVID-19.

Authors:  Qing-Mei Huang; Pei-Dong Zhang; Zhi-Hao Li; Jian-Meng Zhou; Dan Liu; Xi-Ru Zhang; Wen-Fang Zhong; Yu-Jie Zhang; Dong Shen; Fen Liang; Wei-Qi Song; Shi-Gui Yang; Wei-Jie Guan; Chen Mao
Journal:  Ann Am Thorac Soc       Date:  2022-01
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.