Familial factors could contribute to the variability in human skeletal muscle phenotypes. Based on reports before 1983, interindividual variation in fiber type proportions appeared to be strongly genetically determined (1,20). This view was supported by the findings of a twin study (16). However, high estimates of genetic heritability for fiber type distribution seemed to be inconsistent with the technical and sampling variance associated with the biopsy procedure (25). In addition, physical activity level, age, and gender contribute to the variation in the percentage of Type I fibers (3,8,23,26). Subsequently, it was shown that the genetic effect on muscle fiber type distribution was much lower (3) and the heritability of the proportion of Type I fibers was estimated to be about 50% (21).
Genetic and shared familial environmental factors can also influence the activity of muscle enzymes of different metabolic pathways. In earlier studies, Howald (12) showed less variation in MZ twins compared with DZ twins in glyceraldehyde-3P-dehydrogenase (GAPDH) and 3-hydroxyacyl-CoA-dehydrogenase (HADH), whereas Komi et al. (16) found no significant genetic effect for the activities of creatine kinase (CK), ATPase, myokinase, phosphorylase (PHOS), hexokinase (HK), and lactate dehydrogenase enzymes. On the other hand, 25–50% of the variance in phosphofructokinase (PFK; glycolysis) and oxaloglutarate dehydrogenase (OGDH; citric acid cycle) levels were explained by genetic factors in another study (3).
Few studies to date have evaluated the familial aggregation of muscle phenotype responses to exercise training. No significant genotype-training interaction effect was found for fiber type distribution at any time during two 15-wk endurance-training programs in pairs of MZ twins (11,24). On the other hand, in one of the studies, PFK, malate dehydrogenase (MDH), HADH, and OGDH showed a genotype-training interaction effect during the last 8 wk of training, whereas only PFK showed this effect during the first 7 wk (11). In the other study, using a high-intensity intermittent training program lasting 15 wk, Simoneau et al. (24) found significant genotype-training interaction effects for CK, hexokinase (HK), lactate dehydrogenase (LDH), MDH, and OGDH in 14 pairs of MZ twins.
Although it appears that some level of familial inheritance affects the variation of muscle phenotypes, no examination of familial resemblance in skeletal muscle phenotypes has been performed in the sedentary state and in response to an endurance-training program in nuclear families. The purpose of the present study was to examine the hypothesis that proportions and areas of the different muscle fiber types, muscle capillary supply, and enzyme activities of several metabolic pathways aggregate within families in the sedentary state and in response to exercise-training.
Seventy-eight subjects from 19 nuclear families of the HERITAGE Family Study participated in the study. All the families were investigated in the Quebec Clinical Center at Laval University. Subjects gave written consent to participate in the study and were advised of the risks and discomfort associated with the muscle biopsy. The study design, sample population, and protocol of the HERITAGE Family Study have been described earlier (2). The subjects were required to be between the ages of 17 and 40 yr for offspring, and less than 65 yr for parents. They were required to have been sedentary for at least 6 months. The study protocol was approved by each of the institutional review boards of the HERITAGE Family Study research consortium. Written informed consent was obtained from each participant.
The training was conducted on cycle ergometers (Universal Aerobicycle, Cedar Rapids, IA). Subjects were endurance trained, three times a week, for 20 wk. The intensity of the exercise on cycle ergometers progressively increased from a heart rate corresponding to 55% of maximal oxygen uptake during the first 4 wk to 75% during the last 8 wk. The duration was also progressively increased from 30 min·d−1 during the first two weeks to 50 min·d−1, which was maintained from week 14 to the end of the program. A more detailed description of the training program can be found elsewhere (28). To maintain constant training heart rates, the ergometers were interfaced with a Mednet computer system (Universal Gym Mednet, Cedar Rapids, IA) to adjust automatically the power output to the individuals’ heart rates. All training sessions were supervised on site.
Muscle biopsies were taken from the middle of the vastus lateralis, 12–16 cm above the patella and approximately 2 cm away from the epimysium by the percutaneous needle biopsy technique, applying suction as modified by Evans et al. (5). Each biopsy was partitioned into two pieces; one was frozen in isopentane cooled by liquid nitrogen and used for histochemistry, the other was employed for the determination of muscle enzyme activities and was flash frozen in liquid nitrogen.
Based on the staining properties for myofibrillar adenosine triphosphatase, fibers were designated as Type I, Type IIA, and Type IIX according to the technique described by Mabuchi and Sréter (17). The mean muscle fiber area was determined by averaging the cross-sectional areas of 20 randomly selected fibers of each type. The number of capillaries around each of these fibers was counted to determine the capillary density and the area per capillary ratio in each fiber type.
For the measurement of enzyme activities, tissue was homogenized in a glass-glass Duall homogenizer with 39 vol of ice-cold extracting medium (0.1 M Na-K-phosphate, 2 mM EDTA, pH = 7.2). Homogenate was transferred into 1.5-mL polypropylene tubes. This suspension was magnetically stirred on ice for 15 min and sonicated six times for 5 s at 20 W, on ice, with pauses of 85 s between pulses. The resulting homogenate was used for determination of maximal activity (Vmax) of creatine kinase (CK; EC 188.8.131.52), phosphorylase (PHOS; EC), hexokinase (HK; EC 184.108.40.206), phosphofructokinase (PFK; EC 220.127.116.11), glyceraldehyde phosphate dehydrogenase (GAPDH; EC 18.104.22.168), 3-beta-hydroxyacyl CoA dehydrogenase (HADH; EC 22.214.171.124), carnitine palmitoyl transferase (CPT; EC 126.96.36.199), citrate synthase (CS; EC 188.8.131.52), and cytochrome c oxidase (COX; EC 184.108.40.206). Spectrophotometric techniques were conducted at 30°C, according to methods previously used (3,7). The Vmax of enzymes were expressed in units (μmol of substrate per minute) per gram of wet weight tissue (U·g−1). In addition, lipoprotein lipase activity (LPL; EC 220.127.116.11) and the heparin releasable fraction of LPL were assayed as described by Taskinen et al. (30) and Simoneau et al. (27). LPL activity was expressed as nanomoles of FFA transformed/min·g−1 of wet weight muscle.
The effects of training in the entire cohort were determined by a paired t-test. A one-way ANCOVA was performed to test the hypothesis of familial aggregation. The F-ratio that compares the between-family with the within-family variances was used as an indicator of the familial resemblance. Because skeletal muscle phenotypes are influenced by age, sex, and BMI (14,19,26), these covariates were included in the ANCOVA model. The training responses were also adjusted for the baseline value of the phenotypes.
Table 1 shows the descriptive statistics for the subject population. Table 2 summarizes the results for maximal activities of the enzymes. Significant increases in maximal enzyme activities were observed for CK (P = 0.033), PHOS (P = 0.042), HK (P = 0.002), and CPT, HADH, CS, and COX (all P < 0.0001). Tables 3 and 4 show the proportions of fiber types and capillary density of the vastus lateralis muscle in the sedentary state and their training responses. The percentage of Type I fibers increased and the proportion of Type IIX fibers decreased significantly after the endurance-training program. Statistically significant increases were observed after the training program in the capillary density of all fiber types, ranging from 0.55 ± 0.68 capillaries per fiber for Type IIX to 0.76 ± 0.72 capillaries per fiber for Type I (all P < 0.0001). Despite nonsignificant increases in the cross-sectional area of the muscle in all fiber types, the cross-sectional area of the fibers per capillary decreased in all fiber types by 125, 132, and 157 μm2 per capillary in Type IIX, IIA, and I fibers (all P < 0.001), respectively.
Strong evidence for familial aggregation (P < 0.05 to P < 0.0001) was observed for maximal activities of key regulatory enzymes of the phosphagen (F = 6.5), glycolytic (F = 2.6–6.8), and oxidative (F = 2.0–7.0) pathways in the sedentary state (Table 5). The response to training for the enzymes of the phosphagen (F = 4.1), glycolytic (F = 2.3–7.9), and oxidative (F = 2.4–7.0) pathways also showed very significant familial aggregation (P < 0.01 to P < 0.0001) (Table 5). Figures 1a and 1b illustrate the heterogeneity within and between families for selected maximal enzyme activities of the phosphagen, glycolytic, and oxidative pathways in the sedentary state and for the training-induced responses, respectively.
Tables 6 and 7 describe the familial aggregation for fiber types and capillary density phenotypes. There was evidence of a moderate familial aggregation for Type I fiber areas in the sedentary state (F = 2.4, P = 0.007) and Type IIX fiber areas in response to training (F = 2.1, P = 0.03). There was some evidence for familial resemblance in the number of capillaries around Type I (F = 1.9, P = 0.039) and Type IIA fibers (F =1.9, P = 0.044), and in the fiber area per capillary in Type I (P = 0.011) and Type IIA fibers (P = 0.042) in the sedentary state. The number of capillaries per fiber and fiber areas per capillary (I and IIa) were not correlated in the present sample. No significant familial aggregation was found in the responsiveness to training for any of these phenotypes.
The present study examined the hypothesis that skeletal muscle phenotypes aggregate within families in the sedentary state as well as in the response to regular exercise. The results showed weak familial resemblance for fiber types, fiber areas, and capillary supply in the sedentary state, and in their responses to training. However, maximal enzyme activities of the phosphagen, glycolytic, and oxidative pathways appear to be influenced to a great extent by familial factors both in the sedentary state and for the changes induced by training.
Maximal Enzyme Activity
A very significant familial aggregation was found for maximal activities of selected enzymes of the phosphagen, glycolytic, and oxidative pathways. The greater resemblance also observed in MZ twins compared with DZ twins for PFK, OGDH (3), GAPDH, and HADH activities suggests that the genotype plays a significant role in the activities of the enzymes of energy metabolism pathways. Moreover, all fractions of muscle LPL, which hydrolyzes chylomicron and VLDL triglycerides liberating fatty acids for uptake into muscle (9), were characterized by lower variation within families compared with between families. Thus, enzymes of high-energy phosphate, carbohydrate, and lipid metabolism appear to meaningfully aggregate within families in the sedentary state.
Response to training.
Significant changes were observed in the maximal activities of CK, PHOSP, HK, CPT, HADH, CS, and COX after the HERITAGE training program. Although a 23-wk program produced a significant increase in the activities of HADH and malate dehydrogenase, 15-wk training programs increased CK, HK, PFK and LDH (24), and HK, PFK, LDH, MDH, HADH activities (11,22). The present findings indicate that the 20-wk training program was of sufficient duration and intensity to affect the phosphagen, glycolytic, and oxidative pathways.
There was significant familial aggregation for the training response of the enzymes of the energy metabolic pathways. Only the training response of the maximal activities of total and subfractions of LPL did not show familial resemblance. In one twin study, there were no significant differences in the intra-pair variance between MZ and DZ twins for the response to training of HK, GADPH, HADH, MDH, and SDH activities (12). However, training-induced changes in CK, HK, LDH, MDH, and OGDH activities and in the PFK/OGDH ratio were more similar within than between the pairs of MZ twins (24). A significant genotype-training interaction has also been observed for PFK during the first 7 wk of a training program in MZ twins, and for PFK, MDH, and HADH during the last 8 wk of training, whereas HADH showed a significant F-ratio of 5.4 for the genotype training interaction over the entire 15-wk program (11).
The results of the present study showed that familial factors do not exert a major influence on fiber type proportions in the sedentary state. The various types of fibers in human skeletal muscle are visible before 20 wk of gestation (4,6), with a progressive appearance of Type I fibers around 18–19 wk and Type IIA and IIX fibers during the last 3 months of pregnancy (6). At birth, 15–20% of the fibers appear to be undifferentiated (4). There are changes in the fiber type distribution and cross-sectional area up to 17 yr of age (29). During adolescence, the upper leg muscles increase the proportion of Type II, whereas the lower leg muscles increase the proportion of Type I fibers (29). The first results from MZ and DZ twin studies appeared to strengthen the hypothesis that the genotype determines fiber type proportions (16). However, the relatively high technical variance of the biopsy technique (25), in addition to the findings suggesting a contribution from the physical activity level (23), provoked a reexamination of this hypothesis. It has been subsequently proposed that the genetic component for Type I fibers is around 45% (21). These observations are compatible with the results of the present study, which indicate that familial factors do not contribute strongly to fiber type proportion in humans.
The cross-sectional area of muscle fibers could also be potentially determined by familial factors. The activity level has been found to add to the variation of the cross-sectional areas of the fibers (10). In the present study, the variance between families compared with within families was significant only with respect to the area of Type I fibers, and there was no significant familial resemblance for the percentage of the area occupied by the different fibers in the sedentary state.
Response to training.
The exercise training program of the present study provoked a significant increase of 3.5% units in Type I fibers, whereas the Type IIX fibers decreased by 5.4% units. Several training studies before the early 1980s showed that regular exercise did not induce changes in percent Type I fibers (20). However, several studies have since found changes in fiber type proportions after training or detraining suggesting that muscle fiber type proportions can adapt to the environmental stress of regular exercise (23). In the present study, the response of these muscle phenotypes to 20 wk of endurance training did not seem to aggregate significantly within families, indicating that environmental factors play an important role in the plasticity of skeletal muscle fiber type distribution and area.
Oxidative and glycolytic skeletal muscle fibers differ in capillary density (13). In agreement with these observations, the more glycolytic Type IIX fibers had about 25% less capillaries compared with the oxidative fibers in the present study. To our knowledge, no other study has evaluated the familial aggregation of the skeletal muscle capillary density. Our results showed significant familial resemblance for the capillary density only in Type I and IIA fibers in the sedentary state. The ratio of the area of these fibers per capillary also showed significant familial aggregation in the sedentary state. Our results therefore suggest that the genotype and/or familial environment remain important factors in the development of capillary supply to the oxidative skeletal muscle fibers during adulthood.
Response to training.
Capillaries proliferated significantly in all fiber types after training. Our results are in agreement with those of others who showed that training provokes higher capillary density in human muscle (15). As the capillary density appears to be regulated as a function of the oxygen demand irrespective of the fiber types (18), the present findings indicate that all fiber types were metabolically stressed during training. Increased capillarization and decreased ratio of the cross-sectional area of the fibers per capillary increases oxygen extraction, oxygen conductance, blood flow, and maximal oxygen uptake rate of the exercising muscle (18). One could hypothesize that changes in capillary density in skeletal muscle provoked by exercise training are influenced by familial factors. However, in the present study, no indication for familial aggregation was found for the capillary density response to training. Exposure to high metabolic demands could play a more significant role than familial factors per se in the microcirculation adaptation to training.
In conclusion, the present family study showed very significant familial aggregation for maximal enzyme activities of the main energy metabolism pathways in the sedentary state and in the responsiveness to regular exercise. However, no compelling evidence for familial resemblance for fiber types and capillary supply, and their adaptation to a moderate-intensity exercise-training program was observed. Clearly, this is one of the largest studies of its kind, and yet the sample size (19 families) was too small to detect anything but large familial effects. Therefore, it is unclear at this time whether the lack of significance for some phenotypes is due to the small sample size, a small size effect, or is truly the case. Moreover, the data do not allow to test for sex-specific effects due to the sample size limitation. Whether the familial aggregation observed in the present set of families of white ancestry would apply to other ethnic groups cannot be addressed with the data of this HERITAGE Family Study supplementary project.
This paper is dedicated to the memory of the late Jean-Aimé Simoneau, Ph.D., who coordinated this ancillary project of the HERITAGE Family Study.
The HERITAGE Family Study is supported by the NHLBI through Grants HL45670 (to C.B.), HL47323 (to A.S.L), HL47317 (to D.C.R), HL47327 (to J.S.S.), and HL47321 (to J.H.W.). Arthur S. Leon is partially supported by the Henry L. Taylor endowed Professorship in Exercise Science and Health Enhancement. Claude Bouchard is partially supported by the George A. Bray Chair in Nutrition.
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Keywords:©2003The American College of Sports Medicine
ENZYME; CAPILLARY; MUSCLE FIBER; SEDENTARY; TRAINING