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Article

The Association between the ALDH2 rs671 Polymorphism and Athletic Performance in Japanese Power and Strength Athletes

1
Graduate School of Health and Sport Science, Nippon Sport Science University, Tokyo 158-8508, Japan
2
Faculty of Sport Science, Nippon Sport Science University, Tokyo 158-8508, Japan
3
Faculty of Medical Science, Nippon Sport Science University, Tokyo 158-8508, Japan
*
Author to whom correspondence should be addressed.
Genes 2022, 13(10), 1735; https://doi.org/10.3390/genes13101735
Submission received: 31 August 2022 / Revised: 22 September 2022 / Accepted: 23 September 2022 / Published: 27 September 2022
(This article belongs to the Section Molecular Genetics and Genomics)

Abstract

:
The rs671 polymorphism is associated with the enzymatic activity of aldehyde dehydrogenase 2 (ALDH2), which is weakened by the A allele in East Asians. We recently reported the association of this polymorphism with the athletic status in athletic cohorts and the muscle strength of non-athletic cohorts. Therefore, we hypothesized the association of ALDH2 rs671 polymorphism with the performance in power/strength athletes. We aimed to clarify the relationship between the ALDH2 rs671 polymorphism and performance in power/strength athletes. Participants comprising 253 power/strength athletes (167 men and 86 women) and 721 healthy controls (303 men and 418 women) were investigated. The power/strength athletes were divided into classic powerlifting (n = 84) and weightlifting (n = 169). No differences in the genotypes and allele frequencies of the ALDH2 rs671 polymorphism and an association between performance and the ALDH2 rs671 genotype were observed in weightlifters. However, the relative values per body weight of the total record were lower in powerlifters with the GA + AA genotype than those with the GG genotype (7.1 ± 1.2 vs. 7.8 ± 1.0; p = 0.010, partial η2 = 0.08). Our results collectively indicate a role of the ALDH2 rs671 polymorphism in strength performance in powerlifters.

1. Introduction

Various studies have reported that skeletal muscle hypertrophy, hyperplasia, the predominance of fast-twitch muscle fibers, improved neurological adaptation, and high glycolytic capacity are the main factors affecting the performance of power/strength athletes [1,2,3]. Moreover, power/strength athletes represent entirely different transcriptomic, biochemical, anthropometric, physiological, biomechanical, and other characteristics as compared with endurance athletes and non-athletic groups [4,5,6,7]. These differences are attributed to environmental (e.g., training and nutrition) and genetic factors. Some studies have demonstrated a strong heritability of power and strength-related characteristics, with genetic factors accounting for 30–85% of the variation in isometric, isotonic, isokinetic strength, jumping ability, and other muscle strength phenotypes [8,9]. Furthermore, a previous study has indicated that at least 69 genetic markers, such as single nucleotide polymorphisms, are associated with power athlete status [10]. Moreover, the genetic characteristics related to power/strength athlete status differ according to ethnicity [11].
The ALDH2 rs671 polymorphism, a characteristic of East Asians, is associated with the weakened enzymatic activity of aldehyde dehydrogenase 2 (ALDH2). Approximately 30–50% of East Asians carry the ALDH2 single nucleotide polymorphism, where heterozygosity (GA genotype) and homozygosity (AA genotype) lead to loss of function and adversely affect acetaldehyde metabolism, causing the alcohol flush reaction [12], which is the result of an accumulation of acetaldehyde and is caused by an aldehyde dehydrogenase 2 deficiency. Previous studies have confirmed that ALDH2 rs671 polymorphism is associated with body mass index (BMI) [13], hypertension [14], and cancer [15], presumably due to the reduced capacity of inactivated ALDH2 to attenuate oxidative stress.
Recently, Wakabayashi et al. [16] reported that ALDH2 is expressed in skeletal muscle mitochondria and that ALDH2-deficient mice exhibit increased mitochondrial reactive oxidative stress (ROS) emission. Therefore, we hypothesized that the ALDH2 rs671 polymorphism might have deleterious effects on human skeletal muscles.
Furthermore, we recently reported that the AA genotype and A allele frequency were lower in athletes, especially mixed athletes (e.g., American football, baseball, basketball, volleyball, handball, rugby, soccer, and others). In addition, comparing the muscle strength of those with the ALDH2 rs671 polymorphism in non-athletic cohorts revealed that the AA genotype-harboring individuals have a lower grip strength than the G allele-harboring ones [17]. Therefore, we suggested that the AA genotype and A allele of the ALDH2 rs671 polymorphism are associated with a reduced athletic capacity and poorer muscle phenotype.
It has been reported that high-intensity anaerobic exercise induces increased oxidative stress [18]. Moreover, studies have reported increased oxidative stress in power/strength athletes after a strength-training period, suggesting that high-intensity strength training may adversely affect their strength performance due to exercise-induced high oxidative stress [19,20]. In addition, Ahmetov et al. [21] reported that antioxidant-related genetic markers are associated with power/strength athletes. Therefore, we hypothesized that the ALDH2 rs671 polymorphism may affect the phenotype of competitive performance in power/strength athletes. Thus, we aimed to clarify the relationship between the ALDH2 rs671 polymorphism and the performance of power/strength athletes.

2. Materials and Methods

2.1. Participants

This study enrolled 974 Japanese individuals, comprising 253 power/strength athletes (167 men and 86 women) and 721 healthy controls (303 men and 418 women). The power/strength athletes were divided into two groups: classic powerlifting (n = 84) and weightlifting (n = 169). Additionally, powerlifters and weightlifters were divided into the following categories: international, national, and regional, based on competition results. Power/strength athletes were included in this study if they had participated in official competitions (classic powerlifting or weightlifting), with their official records in these competitions verified in the questionnaire. Furthermore, we included a non-athletic cohort from Tokyo and surrounding areas as controls. All participants provided written informed consent for their participation in the study, and the protocol was approved by the Nippon Sport Science University ethics committee (020-G03) and conducted by strictly following the tenets of the Declaration of Helsinki.

2.2. Athletic Performance

In powerlifting, the total lifting weight of squats, bench presses, and deadlifts is considered in each weight class. In weightlifting, the total lifting weight of snatch and clean and jerk are considered in each weight class. Thus, according to the questionnaire, powerlifting, and weightlifting performances were decided by considering answers with the best total record and its breakdown in each subject in the official powerlifting or weightlifting competition. Moreover, relative values per body weight of the record (squats, bench presses, deadlifts, and total record) in powerlifters and the relative values per body weight of the record (snatch, clean and jerk, and total record) in weightlifters were calculated by dividing each record by the body weight at the time when the best total records were achieved.

2.3. Genotyping

Total DNA was extracted from saliva samples using an Oragene-DNA Kit (DNA Genotek, Ontario, Canada). Saliva from the participants was collected in the laboratory using a kit. Alternatively, the kit was mailed to the participant’s home, and the saliva samples were collected and returned to the laboratory. The ALDH2 rs671 polymorphism was identified using the TaqMan SNP Genotyping Assay (C__590093_1_), which was conducted using the TaqMan Real-Time PCR System (Applied Biosystems, Foster City, CA, USA).

2.4. Statistical Analyses

All statistical analyses were performed using the SPSS Statistics software version 27 (IBM Japan, Tokyo, Japan). The Pearson’s chi-square test was used to confirm the Hardy–Weinberg equilibrium in the observed genotype frequencies and to compare the ALDH2 rs671 alleles and genotype frequencies between power/strength athletes and controls. Furthermore, the Pearson’s chi-square test was used to compare the sex and athletic status among each genotype.
The characteristics and performance of the powerlifters (age, height, body mass, powerlifting experience, squat, bench press, deadlift, and total record) and the weightlifters (age, height, body mass, weightlifting experience, snatch, clean and jerk, and total record) among each genotype were analyzed using a one-way analysis of variance and an analysis of covariance adjusted by sex (because of the significant difference in absolute and relative performance between men and women). The magnitude of the effect size was also measured and was reported using partial eta squared (partial η2). p values < 0.05 were considered statistically significant.

3. Results

The ALDH2 rs671 genotype frequencies were in a Hardy–Weinberg equilibrium among power/strength athletes and controls. The genotype frequencies are shown in Table 1. We observed no differences in genotype frequencies between power/strength athletes, powerlifters, weightlifters, and controls. These results were similar to those reported for other Japanese populations [17].
The powerlifter characteristics (sex, athletic status, age, height, body mass and powerlifting experience) and performance (squat, bench press, deadlift, and total record) of the ALDH2 rs671 genotype are shown in Table 2. None of the participant characteristics (sex, athletic status, age, height, body mass, and powerlifting experience) differed among the ALDH2 rs671 genotypes in the powerlifters. A difference in the performance of relative values per body weight of the total record in powerlifters was observed between the three ALDH2 genotypes (p = 0.031) (Bold in Table.2).
Moreover, the relative values per body weight of the total record were lower in powerlifters with the GA + AA genotype than those with the GG genotype (relative values per body weight of the total record: 7.1 ± 1.2 vs. 7.8 ± 1.0; p = 0.010, partial η2 = 0.08, total record: 555.3 ± 138.5 vs. 592.7 ± 121.7; p = 0.455, partial η2 = 0.02, Figure 1).
The weightlifter characteristics (sex, athletic status, age, height, body mass, and weightlifting experience) and performance (snatch, clean and jerk, and total record) related to the ALDH2 rs671 genotype are shown in Table 3. None of the participant characteristics (sex, athletic status, age, height, body mass, and weightlifting experience) differed among the ALDH2 rs671 genotypes in the weightlifters.
No difference in performance was observed between the weightlifters harboring the three ALDH2 genotypes, as seen in Table 3. Moreover, no significant difference was observed between weightlifters with the GA + AA genotype and GG genotype (relative values per bo dyweight of the total record: 3.2 ± 0.6 vs. 3.2 ± 0.6; p = 0.932, partial η2 = 0.001, total record: 222.6 ± 57.0 vs. 232.1 ± 63.2; p = 0.371, partial η2 = 0.006, Figure 2).

4. Discussion

This is the first study to investigate the association between the ALDH2 rs671 polymorphism and athletic performance in power/strength athletes. In our recent study, we investigated the relationship between the ALDH2 rs671 polymorphism and athletic status in a Japanese athletic cohort, including sprint/power (n = 822), mixed (n = 701), and endurance athletes (n = 191). The AA genotype and A allele frequencies of the ALDH2 rs671 polymorphism were lower in all athletes (n = 1714) than controls, especially in mixed athletes. However, no difference in genotype frequencies between sprint/power athletes and controls was observed [17]. Furthermore, this study failed to confirm a relationship between the ALDH2 rs671 polymorphism and athletic status in power/strength athletes.
We assessed the relationship between the ALDH2 rs671 polymorphism and powerlifting performance (squat, bench press, deadlift, and total record) and weightlifting performance (snatch, clean and jerk, and total record). We observed that powerlifters with the GG genotype, who were previously reported to have athlete-related variants [17], have higher performance than powerlifters with the GA and AA genotypes (relative values per bodyweight of the total record: p = 0.010, partial η2 = 0.08). However, no association between the genotype and performance was observed in weightlifters.
Our previous study reported that the AA genotype had a lower maximal voluntary contraction (MVC) compared to those with the G allele in non-athletic cohorts [17]. Therefore, the ALDH2 rs671 polymorphism may affect muscle functions such as MVC. In the present study, our results indicated a relationship between the ALDH2 rs671 polymorphism and powerlifting performance; those with the A allele had a lower performance than those with the GG genotype. Powerlifting consists of squats, bench presses, and deadlifts, requiring extreme muscle strength with simple movements analogous to MVC. In contrast, weightlifting performance (snatch and clean and jerk) needs muscle strength, power, and specific techniques. Therefore, we could replicate the association between muscle function (powerlifting performance) and the ALDH2 rs671 polymorphism in athletes.
ALDH2 is expressed in skeletal muscle mitochondria, and ALDH2-deficient mice have high skeletal muscle mitochondrial ROS generation [16], suggesting that ALDH2 inactivation impairs mitochondrial function and skeletal muscle. This observation is attributed to the fact that mitochondrial functions are strongly associated with skeletal muscle health [22]. Consistent with these findings, Kobayashi et al. [23] showed a smaller muscle fiber diameter in transgenic mice overexpressing ALDH2*2 encoded by the ALDH2 A allele compared to the wild-type mice. In addition, a recent study by Kasai and collaborators [24] showed that aged mice with an ALDH2 deficiency showed a reduced cross-sectional area of skeletal muscle fibers of the soleus. These studies indicated that ALDH2 deficiency is a consequence of muscle atrophy. There are grounds to believe that a similar situation might also arise in humans. Our recent study compared the MVC of subjects with the ALDH2 rs671 polymorphism in the non-athletic cohorts, which revealed that the AA genotype-harboring individuals had a lower MVC than the G allele-harboring ones [17]. Therefore, we suggest that the A allele of the ALDH2 rs671 polymorphism adversely affects the muscle strength phenotype by impairing muscle configuration and function in competitive human athletes, based on observations in mice and those made in this study.
We attributed the different performance results of powerlifters and weightlifters to their different muscle strength requirements. As previously mentioned, powerlifting involves the use of extreme muscle strength with simple movements analogous to MVC, while weightlifting requires fast and complex movements. A recent study reported that powerlifters and weightlifters possessed a few different DNA polymorphisms associated with power and strength status, respectively [25], suggesting that powerlifters and weightlifters have different genetic traits associated with each performance. Moreover, in a recent meta-analysis, Chung et al. [26] have shown that strength and power phenotypes respond differently and play different roles according to genetic variability. Therefore, the results of this study indicate the importance of examining the association between phenotypes and polymorphisms by differentiating between power-oriented (e.g., weightlifters) and strength-oriented (e.g., powerlifters) athletes. In addition, all powerlifters and weightlifters who participated in this study could not achieve their best performance (e.g., due to different athletic experiences). Moreover, regarding age, weightlifters tended to be younger than powerlifters (mean age of weightlifters was 20.9 ± 3.7, while that of powerlifters was 29.2 ± 9.2). It has been shown that aging is related to increased oxidative stress levels [27]. However, the powerlifter group included younger individuals; therefore, this effect might not significantly affect the association between their athletic performance and ALDH2 rs671 polymorphism. Moreover, there was also a difference between powerlifters and weightlifters regarding the ratio of men to women (weightlifters, men: 96 (57%): women: 73 (43%), while powerlifters: 71 (85%): women: 13 (15%). Although we have considered sex as a variable in their performance, differences in testosterone levels strongly affected by sex are also important in power/strength athletes [28]. As a result, those characteristics may have affected the association between performance and the ALDH2 rs671 polymorphism in powerlifters and weightlifters. However, how ALDH2 rs671 polymorphisms influence the differences in competitive performance in powerlifters and weightlifters is unknown and requires further study.
ALDH2 detoxifies the acetaldehyde produced from ethanol, suggesting a strong association of ALDH2 rs671 polymorphisms with alcohol consumption [29]. Alcohol consumption could lead to mitochondrial dysfunction and increased oxidative stress [30], suggesting that it could potentially affect muscle functions [31]. Therefore, alcohol consumption levels may affect the relationship between ALDH2 rs671 polymorphisms and muscle functions. Further research is necessary to reveal the effect of alcohol consumption and ALDH2 rs671 polymorphisms on muscle functions in athletes.
This study has some limitations. We failed to consider factors, such as alcohol consumption habits and the daily training status of each athlete, which probably influence athletic conditions and performance. Therefore, longitudinal studies are necessary to explain the effect of the ALDH2 rs671 polymorphism in response to aging, physical training, and alcohol consumption levels. In addition to the effects of this polymorphism, other genetic polymorphisms, such as SOD2 rs4880, as well as environmental factors can probably interact and influence muscular functions. The application of high-throughput technologies in genome-wide association studies, such as next-generation whole genome and/or exome sequencing, is warranted to help uncover these multiple genetic effects.

5. Conclusions

In conclusion, our results indicate that the ALDH2 rs671 polymorphism is associated with strength performance in powerlifters. However, we were not able to observe the same association in weightlifters. Therefore, further research must aim to clarify the association between athletic performance and the ALDH2 rs671 polymorphism in power/strength athletes. Furthermore, The ALDH2 rs671 genotype might provide useful information (e.g., anti-oxidative supplement and genotype-based customization for conditioning) for athletes, especially in strength related athletes and their strength and conditioning coaches and sports coaches.

Author Contributions

Conceptualization, A.S. and N.K. (Naoki Kikuchi); data collection and analysis, A.S., M.S., K.Y.d.A., H.H., M.D., A.K., N.K. (Naoyuki Kobatake), T.O., K.N. and N.K. (Naoki Kikuchi); writing, A.S. and N.K. (Naoki Kikuchi). All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported in part by grants-in-aid that were provided by the Japan Society for the Promotion of Science (19K11531 to N.K.).

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Ethics Committee of the Federal Research and Clinical Center of Physical-Chemical Medicine and by the ethics committees of the Nippon Sport Science University.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Folland, P.J.; Williams, A.G. The Adaptations to Strength Training: Morphological and Neurological Contributions to Increased Strength. Sports Med. 2007, 37, 145–168. [Google Scholar] [CrossRef] [PubMed]
  2. Fry, A.C.; Webber, J.M.; Weiss, L.W.; Harber, M.P.; Vaczi, M.; Pattison, N.A. Muscle Fiber Characteristics of Competitive Power Lifters. J. Strength Cond. Res. 2003, 17, 402–410. [Google Scholar] [PubMed]
  3. Fry, A.C.; Schilling, B.K.; Staron, R.S.; Hagerman, F.C.; Hikida, R.S.; Thrush, J.T. Muscle Fiber Characteristics and Performance Correlates of Male Olympic-Style Weightlifters. J. Strength Cond. Res. 2003, 17, 746–754. [Google Scholar] [PubMed]
  4. Noriyuki, F.; Kumagai, H.; Ahmetov, I.I. Chapter Fourteen—Genetics of Muscle Fiber Composition. In Sports, Exercise, and Nutritional Genomics; Debmalya, B., Ahmetov, I.I., Eds.; Academic Press: Cambridge, MA, USA, 2019; pp. 295–314. [Google Scholar]
  5. Storey, A.; Smith, H.K. Unique Aspects of Competitive Weightlifting: Performance, Training and Physiology. Sports Med. 2012, 42, 769–790. [Google Scholar] [CrossRef] [PubMed]
  6. Ahmetov, O.L.; Vinogradova, I.I.; Williams, A.G. Gene Polymorphisms and Fiber-Type Composition of Human Skeletal Muscle. Int. J. Sport Nutr. Exerc. Metab. 2012, 22, 292–303. [Google Scholar] [CrossRef]
  7. Stepto, N.K.; Coffey, V.G.; Carey, A.L.; Ponnampalam, A.P.; Canny, B.J.; Powell, D.; Hawley, J.A. Global Gene Expression in Skeletal Muscle from Well-Trained Strength and Endurance Athletes. Med. Sci. Sports Exerc. 2009, 41, 546–565. [Google Scholar] [CrossRef]
  8. Zempo, H.; Miyamoto-Mikami, E.; Kikuchi, N.; Fuku, N.; Miyachi, M.; Murakami, H. Heritability Estimates of Muscle Strength-Related Phenotypes: A Systematic Review and Meta-Analysis. Scand. J. Med. Sci. Sports 2017, 27, 1537–1546. [Google Scholar] [CrossRef]
  9. Roth, S.M. Genetic Aspects of Skeletal Muscle Strength and Mass with Relevance to Sarcopenia. Bonekey Rep. 2012, 1, 58. [Google Scholar] [CrossRef]
  10. Maciejewska-Skrendo, A.; Cieszczyk, P.; Chycki, J.; Sawczuk, M.; Smolka, W. Genetic Markers Associated with Power Athlete Status. J. Hum. Kinet. 2019, 68, 17–36. [Google Scholar] [CrossRef]
  11. Weyerstraß, J.; Stewart, K.; Wesselius, A.; Zeegers, M. Nine Genetic Polymorphisms Associated with Power Athlete Status—A Meta-Analysis. J. Sci. Med. Sport 2018, 21, 213–220. [Google Scholar] [CrossRef]
  12. Xiao, Q.; Weiner, H.; Crabb, D.W. The Mutation in the Mitochondrial Aldehyde Dehydrogenase (Aldh2) Gene Responsible for Alcohol-Induced Flushing Increases Turnover of the Enzyme Tetramers in a Dominant Fashion. J. Clin. Investig. 1996, 98, 2027–2032. [Google Scholar] [CrossRef] [PubMed]
  13. Wen, W.; Zheng, W.; Okada, Y.; Takeuchi, F.; Tabara, Y.; Hwang, J.Y.; Dorajoo, R.; Li, H.; Tsai, F.J.; Yang, X.; et al. Meta-Analysis of Genome-Wide Association Studies in East Asian-Ancestry Populations Identifies Four New Loci for Body Mass Index. Hum. Mol. Genet. 2014, 23, 5492–5504. [Google Scholar] [CrossRef] [PubMed]
  14. Wu, Y.; Ni, J.; Cai, X.; Lian, F.; Ma, H.; Xu, L.; Yang, L. Positive Association between Aldh2 Rs671 Polymorphism and Essential Hypertension: A Case-Control Study and Meta-Analysis. PLoS ONE 2017, 12, e0177023. [Google Scholar] [CrossRef] [PubMed]
  15. Zuo, W.; Zhan, Z.; Ma, L.; Bai, W.; Zeng, S. Effect of Aldh2 Polymorphism on Cancer Risk in Asians: A Meta-Analysis. Medicine 2019, 98, e14855. [Google Scholar] [CrossRef]
  16. Wakabayashi, Y.; Tamura, Y.; Kouzaki, K.; Kikuchi, N.; Hiranuma, K.; Menuki, K.; Tajima, T.; Yamanaka, Y.; Sakai, A.; Nakayama, K.I.; et al. Acetaldehyde Dehydrogenase 2 Deficiency Increases Mitochondrial Reactive Oxygen Species Emission and Induces Mitochondrial Protease Omi/Htra2 in Skeletal Muscle. Am. J. Physiol. Regul. Integr. Comp. Physiol. 2020, 318, R677–R690. [Google Scholar] [CrossRef]
  17. Kikuchi, N.; Tajima, T.; Tamura, Y.; Yamanaka, Y.; Menuki, K.; Okamoto, T.; Sakamaki-Sunaga, M.; Sakai, A.; Hiranuma, K.; Nakazato, K. The Aldh2 Rs671 Polymorphism Is Associated with Athletic Status and Muscle Strength in a Japanese Population. Biol. Sport 2022, 39, 429–434. [Google Scholar] [CrossRef]
  18. Bloomer, R.J.; Goldfarb, A.H. Anaerobic Exercise and Oxidative Stress: A Review. Can. J. Appl. Physiol. 2004, 29, 245–263. [Google Scholar] [CrossRef]
  19. Jurgenson, J.; Serg, M.; Kampus, P.; Kals, J.; Zagura, M.; Viru, M.; Zilmer, K.; Zilmer, M.; Eha, J.; Unt, E. Oxidative Stress Parameters and Its Associations with Arterial Stiffness in Competitive Powerlifting Athletes after 12-Week Supervised Strength Training. J. Strength Cond. Res. 2019, 33, 1816–1822. [Google Scholar] [CrossRef]
  20. Liu, J.F.; Chang, W.Y.; Chan, K.H.; Tsai, W.Y.; Lin, C.L.; Hsu, M.C. Blood Lipid Peroxides and Muscle Damage Increased Following Intensive Resistance Training of Female Weightlifters. Ann. N. Y. Acad. Sci. 2005, 1042, 255–261. [Google Scholar] [CrossRef]
  21. Ahmetov, I.I.; Naumov, V.A.; Donnikov, A.E.; Maciejewska-Karlowska, A.; Kostryukova, E.S.; Larin, A.K.; Maykova, E.V.; Alexeev, D.G.; Fedotovskaya, O.N.; Generozov, E.V.; et al. Sod2 Gene Polymorphism and Muscle Damage Markers in Elite Athletes. Free Radic. Res. 2014, 48, 948–955. [Google Scholar] [CrossRef]
  22. Romanello, V.; Sandri, M. Mitochondrial Quality Control and Muscle Mass Maintenance. Front. Physiol. 2015, 6, 422. [Google Scholar] [CrossRef] [PubMed]
  23. Kobayashi, H.; Nakamura, S.; Sato, Y.; Kobayashi, T.; Miyamoto, K.; Oya, A.; Matsumoto, M.; Nakamura, M.; Kanaji, A.; Miyamoto, T. Aldh2 Mutation Promotes Skeletal Muscle Atrophy in Mice Via Accumulation of Oxidative Stress. Bone 2021, 142, 115739. [Google Scholar] [CrossRef] [PubMed]
  24. Kasai, A.; Jee, E.; Tamura, Y.; Kouzaki, K.; Kotani, T.; Nakazato, K. Aldehyde Dehydrogenase 2 Deficiency Promotes Skeletal Muscle Atrophy in Aged Mice. Am. J. Physiol. Regul. Integr. Comp. Physiol. 2022, 322, R511–R525. [Google Scholar] [CrossRef]
  25. Moreland, E.; Borisov, O.V.; Semenova, E.A.; Larin, A.K.; Andryushchenko, O.N.; Andryushchenko, L.B.; Generozov, E.V.; Williams, A.G.; Ahmetov, I.I. Polygenic Profile of Elite Strength Athletes. J. Strength Cond. Res. 2020, 36, 2509–2514. [Google Scholar] [CrossRef] [PubMed]
  26. Chung, H.C.; Keiller, D.R.; Roberts, J.D.; Gordon, D.A. Do Exercise-Associated Genes Explain Phenotypic Variance in the Three Components of Fitness? A Systematic Review & Meta-Analysis. PLoS ONE 2021, 16, e0249501. [Google Scholar]
  27. Kregel, K.C.; Zhang, H.J. An Integrated View of Oxidative Stress in Aging: Basic Mechanisms, Functional Effects, and Pathological Considerations. Am. J. Physiol.-Regul. Integr. Comp. Physiol. 2007, 292, R18–R36. [Google Scholar] [CrossRef]
  28. Guilherme, J.P.L.F.; Semenova, E.A.; Borisov, O.V.; Larin, A.K.; Moreland, E.; Generozov, E.V.; Ahmetov, I.I. Genomic Predictors of Testosterone Levels Are Associated with Muscle Fiber Size and Strength. Eur. J. Appl. Physiol. 2022, 122, 415–423. [Google Scholar] [CrossRef]
  29. Lin, C.L.; Chien, R.N.; Chen, L.W.; Huang, T.S.; Shyu, Y.C.; Yeh, C.T.; Liang, K.H. The Aldehyde Dehydrogenase Aldh2*2 Allele, Associated with Alcohol Drinking Behavior, Dates Back to Prehistoric Times. Biomolecules 2021, 11, 1376. [Google Scholar] [CrossRef]
  30. Otis, J.S.; Brown, L.A.; Guidot, D.M. Oxidant-Induced Atrogin-1 and Transforming Growth Factor-Beta1 Precede Alcohol-Related Myopathy in Rats. Muscle Nerve 2007, 36, 842–848. [Google Scholar] [CrossRef]
  31. Caceres-Ayala, C.; Pautassi, R.M.; Acuña, M.J.; Cerpa, W.; Rebolledo, D.L. The Functional and Molecular Effects of Problematic Alcohol Consumption on Skeletal Muscle: A Focus on Athletic Performance. Am. J. Drug Alcohol Abuse 2022, 48, 133–147. [Google Scholar] [CrossRef]
Figure 1. Associations between the ALDH2 rs671 genotype and relative values of the total record per body weight (A) and the total record (B) in powerlifters. Data are shown as the means ± SD. The data were assessed by analysis of covariance with adjustments for sex as covariates.
Figure 1. Associations between the ALDH2 rs671 genotype and relative values of the total record per body weight (A) and the total record (B) in powerlifters. Data are shown as the means ± SD. The data were assessed by analysis of covariance with adjustments for sex as covariates.
Genes 13 01735 g001
Figure 2. Associations between the ALDH2 rs671 genotype and relative values of the total record per body weight (A) and the total record (B) in weightlifters. Data are shown as the means ± SD. The data were assessed by analysis of covariance with adjustments for sex as covariates.
Figure 2. Associations between the ALDH2 rs671 genotype and relative values of the total record per body weight (A) and the total record (B) in weightlifters. Data are shown as the means ± SD. The data were assessed by analysis of covariance with adjustments for sex as covariates.
Genes 13 01735 g002
Table 1. The genotypes and allele frequencies of ALDH2 rs671 polymorphism.in power/strength athletes and controls.
Table 1. The genotypes and allele frequencies of ALDH2 rs671 polymorphism.in power/strength athletes and controls.
GenotypeAllelep Value
NGGGAAAGAGenotypeDominantRecessiveAllele
n (%)n (%)n (%)n (%)n (%)
All power/strength
athletes
253140 (56)93 (38)20 (6)532 (75)182 (25)0.6880.5020.4650.384
Powerlifters8450 (60)28 (33)6 (7)128 (76)40 (24)0.9290.8660.7850.879
Weightlifters16990 (53)65 (39)14 (8)245 (73)93 (27)0.4910.4540.2640.224
controls721418 (58)255 (35)48 (7)1091 (76)351 (24)
Table 2. Characteristics and performance of powerlifters with an ALDH2 genotype.
Table 2. Characteristics and performance of powerlifters with an ALDH2 genotype.
GG
(n = 50)
GA
(n = 28)
AA
(n = 6)
GA + AA
(n = 34)
p Value
(Genotype)
ES
(Genotype)
p Value
(Recessive)
ES
(Recessive)
Sex
  Menn = 44 (88%)n = 22 (79%)n = 5 (83%)n = 27 (79%)0.541 * 0.285 *
  Womenn = 6 (12%)n = 6 (21%)n = 1 (17%)n = 7 (21%)
Athletic status
  International n = 16 (32%)n = 12 (43%)n = 1 (17%)n = 13 (38%)0.158 * 0.112 *
  National n = 25 (50%)n = 16 (57%)n = 4 (66%)n = 20 (59%)
  Regional n = 9 (18%)n = 0 (0%)n = 1 (17%)n = 1 (3%)
Age, yr28.8 ± 7.729.9 ± 12.130.1 ± 5.330.0 ± 11.20.8410.0040.5560.004
Height, cm167.2 ± 7.1166.6 ± 8.1168.3 ± 10.2166.9 ± 8.40.8710.0030.8730.0003
Body mass, kg 76.2 ± 17.378.2 ± 21.182.9 ± 26.079.1 ± 21.70.6910.0090.5030.005
Powerlifting
experience, yr
4.9 ± 5.04.5 ± 5.25.7 ± 6.44.8 ± 5.40.8620.0040.8900.0002
Squat, kg 211.9 ± 47.6196.1 ± 54.1216.2 ± 59.2199.7 ± 54.70.553 0.020.665 0.01
Bench press, kg145.1 ± 35.6129.6 ± 38.1159.5 ± 51.4134.9 ± 41.60.0490.050.554 0.01
Deadlift, kg236.4 ± 43.1220.4 ± 50.6225.8 ± 50.3221.4 ± 49.90.620 0.020.313 0.02
Squat, kg/BW2.7 ± 0.32.5 ± 0.42.6 ± 0.52.5 ± 0.40.0320.090.0110.08
Bench press,
kg/BW
1.9 ± 0.31.6 ± 0.31.9 ± 0.51.7 ± 0.40.0250.090.0470.06
Deadlift, kg/BW3.1 ± 0.42.8 ± 0.52.8 ± 0.52.8 ± 0.50.0710.070.0230.07
Total, kg 592.7 ± 121.7545.6 ± 137.6600.8 ± 146.2555.3 ± 138.50.3630.030.4550.02
Total, kg/BW7.8 ± 1.07.0 ± 1.27.4 ± 1.37.1 ± 1.20.0310.090.0110.08
Data are shown as the means ± SD. * Pearson’s chi-square test. ANCOVA adjusted by sex. ES: effect size.
Table 3. Characteristics and performance of weightlifters with an ALDH2 genotype.
Table 3. Characteristics and performance of weightlifters with an ALDH2 genotype.
GG
(n = 90)
GA
(n = 65)
AA
(n = 14)
GA + AA
(n = 79)
p Value
(Genotype)
ES
(Genotype)
p Value
(Recessive)
ES
(Recessive)
Sex
  Men n = 53 (59%)n = 37 (57%)n = 6 (43%)n = 43 (54%)0.530 * 0.559 *
  Women n = 37 (41%)n = 28 (43%)n = 8 (57%)n = 36 (46%)
Athletic status
  International n = 34 (38%)n = 24 (37%)n = 5 (36%)n = 29 (37%)0.999 * 0.973 *
  National n = 39 (43%)n = 28 (43%)n = 6 (43%)n = 34 (43%)
  Regional n = 17 (19%)n = 13 (20%)n = 3 (21%)n = 16 (20%)
Age, yr20.8 ± 3.121.0 ± 4.520.9 ± 4.021.0 ± 4.40.9020.0010.6660.001
Height, cm163.4 ± 8.5161.5 ± 8.7162.6 ± 9.2161.7 ± 8.70.4060.010.2010.01
Body mass, kg 72.7 ± 20.071.4 ± 19.267.9 ± 14.470.8 ± 18.40.6730.0050.5200.002
weightlifting experience, yr5.7 ± 2.66.1 ± 3.75.9 ± 3.86.1 ± 3.60.6950.0040.4110.004
Snatch, kg103.6 ± 29.199.7 ± 27.094.6 ± 21.498.8 ± 26.00.570 0.010.294 0.008
Clean and Jerk, kg128.4 ± 34.3125.3 ± 32.4116.2 ± 25.0123.7 ± 31.30.726 0.010.458 0.005
Snatch, kg/BW1.4 ± 0.21.4 ± 0.31.4 ± 0.21.4 ± 0.20.873 0.0020.753 0.002
Clean and Jerk, kg/BW1.7 ± 0.31.7 ± 0.31.7 ± 0.31.7 ± 0.30.995 0.0010.922 0.0001
Total, kg 232.1 ± 63.2225.1 ± 59.1210.2 ± 25.0222.6 ± 57.00.669 0.010.371 0.006
Total, kg/BW3.2 ± 0.63.2 ± 0.63.1 ± 0.63.2 ± 0.60.928 0.0010.932 0.001
Data are shown as the means ± SD. * Pearson’s chi-square test. † ANCOVA adjusted by sex. ES: effect size.
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Saito, A.; Saito, M.; Almeida, K.Y.d.; Homma, H.; Deguchi, M.; Kozuma, A.; Kobatake, N.; Okamoto, T.; Nakazato, K.; Kikuchi, N. The Association between the ALDH2 rs671 Polymorphism and Athletic Performance in Japanese Power and Strength Athletes. Genes 2022, 13, 1735. https://doi.org/10.3390/genes13101735

AMA Style

Saito A, Saito M, Almeida KYd, Homma H, Deguchi M, Kozuma A, Kobatake N, Okamoto T, Nakazato K, Kikuchi N. The Association between the ALDH2 rs671 Polymorphism and Athletic Performance in Japanese Power and Strength Athletes. Genes. 2022; 13(10):1735. https://doi.org/10.3390/genes13101735

Chicago/Turabian Style

Saito, Aoto, Mika Saito, Kathleen Y. de Almeida, Hiroki Homma, Minoru Deguchi, Ayumu Kozuma, Naoyuki Kobatake, Takanobu Okamoto, Koichi Nakazato, and Naoki Kikuchi. 2022. "The Association between the ALDH2 rs671 Polymorphism and Athletic Performance in Japanese Power and Strength Athletes" Genes 13, no. 10: 1735. https://doi.org/10.3390/genes13101735

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