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| The relationships between the percentage of MHC-1 and 3-hydroxyacyl-CoA dehydrogenase activity (HAD, n = 10) (A); citrate synthase activity (CS, n = 9) (B); and relative capacity to oxidize fat (HAD/CS ratio) (C). The open circles depict data for the arms and the leg black squares for the legs. For the arm and leg combined, there was a significant correlation between the MHC-1 content and HAD activity (r 2 = 0.32, P = 0.011), as well as the HAD/CS ratio (r 2 = 0.27, P = 0.021).

| The relationships between the percentage of MHC-1 and 3-hydroxyacyl-CoA dehydrogenase activity (HAD, n = 10) (A); citrate synthase activity (CS, n = 9) (B); and relative capacity to oxidize fat (HAD/CS ratio) (C). The open circles depict data for the arms and the leg black squares for the legs. For the arm and leg combined, there was a significant correlation between the MHC-1 content and HAD activity (r 2 = 0.32, P = 0.011), as well as the HAD/CS ratio (r 2 = 0.27, P = 0.021).

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As one of the most physically demanding sports in the Olympic Games, cross-country skiing poses considerable challenges with respect to both force generation and endurance during the combined upper- and lower-body effort of varying intensity and duration. The isoforms of myosin in skeletal muscle have long been considered not only to define the con...

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Context 1
... maximal CS activity of well-trained arm and leg muscles was the same (Table 2), despite the higher MHC-1 content of the legs, thus demonstrating a non-MHC-dependency in the CS activity. In contrast, the maximal activity of the key enzyme in the ß- oxidation, HAD, was 52% higher (P < 0.05) in the leg compared to arm muscles. Accordingly, the ratio between the HAD and CS activity was 45% higher in leg than arm (1.22 in the leg and 0.86 in arm, P < 0.01), suggesting a relatively higher capacity for lipid oxidation in leg muscle. Further, there was no association between CS activity and MHC distribution (Figure 2A). Thus, CS activity in these highly trained muscles is not associated with the MHC distribution. In contrast, MHC-1 content was a robust predictor of HAD capacity (P = 0.011, r 2 = 0.32, Figure 2B). In line with this, there was also a strong correlation between HAD/CS ratio and the MHC-1 content (P = 0.021, r 2 = 0.27), with no association in trained leg ( Figure 2C). Taken together, in these highly trained skiers, there is a close association between MHC distribution and both absolute (HAD) and relative (HAD/CS) capacity to oxidize fat, with no association between CS capacity and MHC ...
Context 2
... maximal CS activity of well-trained arm and leg muscles was the same (Table 2), despite the higher MHC-1 content of the legs, thus demonstrating a non-MHC-dependency in the CS activity. In contrast, the maximal activity of the key enzyme in the ß- oxidation, HAD, was 52% higher (P < 0.05) in the leg compared to arm muscles. Accordingly, the ratio between the HAD and CS activity was 45% higher in leg than arm (1.22 in the leg and 0.86 in arm, P < 0.01), suggesting a relatively higher capacity for lipid oxidation in leg muscle. Further, there was no association between CS activity and MHC distribution (Figure 2A). Thus, CS activity in these highly trained muscles is not associated with the MHC distribution. In contrast, MHC-1 content was a robust predictor of HAD capacity (P = 0.011, r 2 = 0.32, Figure 2B). In line with this, there was also a strong correlation between HAD/CS ratio and the MHC-1 content (P = 0.021, r 2 = 0.27), with no association in trained leg ( Figure 2C). Taken together, in these highly trained skiers, there is a close association between MHC distribution and both absolute (HAD) and relative (HAD/CS) capacity to oxidize fat, with no association between CS capacity and MHC ...
Context 3
... maximal CS activity of well-trained arm and leg muscles was the same (Table 2), despite the higher MHC-1 content of the legs, thus demonstrating a non-MHC-dependency in the CS activity. In contrast, the maximal activity of the key enzyme in the ß- oxidation, HAD, was 52% higher (P < 0.05) in the leg compared to arm muscles. Accordingly, the ratio between the HAD and CS activity was 45% higher in leg than arm (1.22 in the leg and 0.86 in arm, P < 0.01), suggesting a relatively higher capacity for lipid oxidation in leg muscle. Further, there was no association between CS activity and MHC distribution (Figure 2A). Thus, CS activity in these highly trained muscles is not associated with the MHC distribution. In contrast, MHC-1 content was a robust predictor of HAD capacity (P = 0.011, r 2 = 0.32, Figure 2B). In line with this, there was also a strong correlation between HAD/CS ratio and the MHC-1 content (P = 0.021, r 2 = 0.27), with no association in trained leg ( Figure 2C). Taken together, in these highly trained skiers, there is a close association between MHC distribution and both absolute (HAD) and relative (HAD/CS) capacity to oxidize fat, with no association between CS capacity and MHC ...
Context 4
... maximal CS activity of well-trained arm and leg muscles was the same (Table 2), despite the higher MHC-1 content of the legs, thus demonstrating a non-MHC-dependency in the CS activity. In contrast, the maximal activity of the key enzyme in the ß- oxidation, HAD, was 52% higher (P < 0.05) in the leg compared to arm muscles. Accordingly, the ratio between the HAD and CS activity was 45% higher in leg than arm (1.22 in the leg and 0.86 in arm, P < 0.01), suggesting a relatively higher capacity for lipid oxidation in leg muscle. Further, there was no association between CS activity and MHC distribution (Figure 2A). Thus, CS activity in these highly trained muscles is not associated with the MHC distribution. In contrast, MHC-1 content was a robust predictor of HAD capacity (P = 0.011, r 2 = 0.32, Figure 2B). In line with this, there was also a strong correlation between HAD/CS ratio and the MHC-1 content (P = 0.021, r 2 = 0.27), with no association in trained leg ( Figure 2C). Taken together, in these highly trained skiers, there is a close association between MHC distribution and both absolute (HAD) and relative (HAD/CS) capacity to oxidize fat, with no association between CS capacity and MHC ...
Context 5
... maximal CS activity of well-trained arm and leg muscles was the same (Table 2), despite the higher MHC-1 content of the legs, thus demonstrating a non-MHC-dependency in the CS activity. In contrast, the maximal activity of the key enzyme in the ß- oxidation, HAD, was 52% higher (P < 0.05) in the leg compared to arm muscles. Accordingly, the ratio between the HAD and CS activity was 45% higher in leg than arm (1.22 in the leg and 0.86 in arm, P < 0.01), suggesting a relatively higher capacity for lipid oxidation in leg muscle. Further, there was no association between CS activity and MHC distribution (Figure 2A). Thus, CS activity in these highly trained muscles is not associated with the MHC distribution. In contrast, MHC-1 content was a robust predictor of HAD capacity (P = 0.011, r 2 = 0.32, Figure 2B). In line with this, there was also a strong correlation between HAD/CS ratio and the MHC-1 content (P = 0.021, r 2 = 0.27), with no association in trained leg ( Figure 2C). Taken together, in these highly trained skiers, there is a close association between MHC distribution and both absolute (HAD) and relative (HAD/CS) capacity to oxidize fat, with no association between CS capacity and MHC ...
Context 6
... maximal CS activity of well-trained arm and leg muscles was the same (Table 2), despite the higher MHC-1 content of the legs, thus demonstrating a non-MHC-dependency in the CS activity. In contrast, the maximal activity of the key enzyme in the ß- oxidation, HAD, was 52% higher (P < 0.05) in the leg compared to arm muscles. Accordingly, the ratio between the HAD and CS activity was 45% higher in leg than arm (1.22 in the leg and 0.86 in arm, P < 0.01), suggesting a relatively higher capacity for lipid oxidation in leg muscle. Further, there was no association between CS activity and MHC distribution (Figure 2A). Thus, CS activity in these highly trained muscles is not associated with the MHC distribution. In contrast, MHC-1 content was a robust predictor of HAD capacity (P = 0.011, r 2 = 0.32, Figure 2B). In line with this, there was also a strong correlation between HAD/CS ratio and the MHC-1 content (P = 0.021, r 2 = 0.27), with no association in trained leg ( Figure 2C). Taken together, in these highly trained skiers, there is a close association between MHC distribution and both absolute (HAD) and relative (HAD/CS) capacity to oxidize fat, with no association between CS capacity and MHC ...

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... [10][11][12][13] However, there was restricted data about RTS on neuromuscular performance among athletes after ARinf and most available studies also focus on the lower-body. [14][15][16] Upper-body strength and power were of particular importance to some sports, like kayaking, cross-country skiing, rowing, etc. 17,18 Furthermore, the effects of RTS during the pandemic on maintaining body composition in athletes remain mixed results. [19][20][21] Given above, it is necessary to elucidate the influences of ARinf and RTS in athletes who demand high-level neuromuscular function and optimum body composition, such as kayakers. ...
... 3,20,41 Furthermore, the effects of ARinf on the upper and lower-body neuromuscular function may differ due to the relatively small muscle mass and differences in muscle fiber type, oxygen uptake, glucose and fat oxidation ability compared to the lowerbody. 17,18 Regarding the upper-body function was crucial for many other exercises (e.g., rowing, kayaking, water-polo, cross-country skiing, etc), 18,22 it may be useful in future studies to refine the RTS strategy according to the importance of different body parts of the athletes for performance. ...
... 3,20,41 Furthermore, the effects of ARinf on the upper and lower-body neuromuscular function may differ due to the relatively small muscle mass and differences in muscle fiber type, oxygen uptake, glucose and fat oxidation ability compared to the lowerbody. 17,18 Regarding the upper-body function was crucial for many other exercises (e.g., rowing, kayaking, water-polo, cross-country skiing, etc), 18,22 it may be useful in future studies to refine the RTS strategy according to the importance of different body parts of the athletes for performance. ...
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Purpose This study aimed to examine the short-term effects of SARS-CoV-2 infection and return to sport (RTS) on neuromuscular performance, body composition, and mental health in well-trained young kayakers. Methods 17 vaccinated kayakers (8 male, 9 female) underwent body composition assessment, peak power output bench press (BP), and 40-s maximum repetition BP tests 23.9 ± 1.6 days before and 22.5 ± 1.6 days after a SARS-CoV-2 infection. A linear transducer was used to examine the BP performance. The perception of training load and mental health were quantified with Borg's CR-10 scale and the Hooper questionnaire before and after infection. The difference and relationship of variables were used Wilcoxon test, Student t-test, Pearson's, and Spearman's r correlation coefficients. Results There was a significant increase in body mass, fat-free mass, and skeletal muscle mass, but no significant changes in body fat, fat mass, and all BP performance after infection (p < 0.05). There was a significant reduction in training hours per week, session rating of perceived exertion (sRPE), internal training load (sRPE-TL), fatigue, muscle soreness levels, and Hooper index, but no changes in sleep quality and stress levels after infection (p < 0.05). The training and mental health during the RTS period was significantly correlated (r = −0.85 to 0.70) with physical performance after infection. Conclusion A SARS-CoV-2 infection did not appear to impair the upper-body neuromuscular performance and mental health of vaccinated well-trained young kayakers after a short-term RTS period. These findings can assist coaches, and medical and club staff when guiding RTS strategies after other acute infections or similar restrictions.