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International Journal of Experimental Pathology logoLink to International Journal of Experimental Pathology
. 2000 Oct;81(5):283–287. doi: 10.1111/j.1365-2613.2000.00167.x

Gene–environment interactions and the response to exercise

Hugh Montgomery 1, David Brull 1
PMCID: PMC2517737  PMID: 11168675

Abstract

Many of the symptoms of heart failure (breathlessness and fatigue) are not primarily due to reduced cardiac output, but relate to an impairment of peripheral muscle performance and metabolic efficiency. With regular training it is possible to increase skeletal muscle performance through improvements in muscle efficiency. Recent data suggest that such improvements may be modulated by local tissue renin-angiotensin systems and, in particular, by the local activity of angiotensin-converting enzyme (ACE). These findings might explain the remarkable benefits of ACE inhibition in the treatment of heart failure.

Skeletal muscle function and heart failure

The mechanisms that lead to exercise-limiting fatigue and breathlessness in chronic heart failure (CHF) remain obscure. Symptoms persist in the absence of pulmonary congestion (Coats 1996) and correlate poorly with measures of left ventricular dysfunction (Sullivan & Hawthorne 1995). Patients suffer restriction in their exercise capacity long before they have reached the limits of their cardiopulmonary reserve (Jondeau et al. 1992). Factors other than central haemodynamic performance thus predominantly limit physical performance in heart failure (Katsuki et al. 1995; McKelvie et al. 1995; Coats 1996a, b). Recent data suggest that abnormalities in skeletal muscle function are responsible for much of the symptomatic limitation attributed to CHF (Minotti et al. 1991; Harridge et al. 1996), and that the functional capacity of patients with CHF is restricted to a large degree by peripheral (skeletal muscle) metabolic effects rather than through central (cardio-respiratory) effects (Jondeau et al. 1997). Muscles become less resistant to fatigue (Harridge et al. 1996), and this impaired endurance performance (reduced by up to 30%) (Minotti et al. 1991; Magnusson et al. 1996), correlates closely with both functional capacity (Minotti et al. 1991) and with maximal oxygen uptake (VO2max) (Magnusson et al. 1996).

It is not widely appreciated that the metabolic efficiency of skeletal muscle can be modulated in health and disease. It can be increased in response to physiological situations in which achieving ‘more external work for less energy utilization’ might be advantageous, such as lactation (Spurr et al. 1998), dietary energy deficiency (Kulkarni & Shetty 1992) and exercise training (Gissane et al. 1991). In contrast, decreased metabolic efficiency may be a crucial contributor to the abnormal skeletal muscle function of CHF (Massie et al. 1988; Kemp et al. 1996). Several findings support this contention, including some limited data from animal experimentation. Firstly, oxidative capacity is reduced in patients with CHF by 30%, but ‘effective muscle mass’ by up to 65% (Kemp et al. 1996). Secondly, resting lower-limb oxygen consumption is higher than that seen in controls (Opasich et al. 1997). Thirdly, data derived from work on a rat model has shown that prolonged submaximal exercise in the rat is associated with greater glycogen utilization in the oxidative muscles of CHF animals than of controls, suggesting increased use of local energy stores to achieve the same external work (Musch et al. 1990). In contrast, energy consumption per unit of external contractile work is increased in the diaphragmatic muscle of rats with CHF when compared to controls (Lecarpentier et al. 1998). Such metabolic inefficiency may be even greater with exercise than at rest, and such defects in metabolic efficiency may be sufficient to limit exercise capacity (Opasich et al. 1997).

Interventions that benefit function or survival in CHF may do so through impact on metabolic efficiency. Regular moderate exercise training leads to improved exercise tolerance and symptoms in CHF patients (Afzal et al. 1998; Group EHFT 1998; Tyni-Lenne et al. 1998). Such improvement is related not to changes in limb blood flow (Belardinelli et al. 1995; Hambrecht et al. 1997; Maillefert et al. 1998), but to improvements in muscle metabolism (Stratton et al. 1994; Brunotte et al. 1995) and, more specifically, metabolic efficiency (Kemp et al. 1996; Hare et al. 1999). Meanwhile, the administration of a class of drugs known as angiotensin-converting enzyme (ACE) inhibitors has remarkable beneficial effects on the functional capacity, morbidity and mortality of patients with chronic heart failure (CHF) (AIRE Study Investigators 1993). ACE inhibitors have been the sole agents found to substantially modify disease progression and outcome, and prevent the development of heart failure in asymptomatic patients. These effects have yet to be adequately explained (Coats 1996), and certainly cannot be attributed to the simple natriuresis and vasodilatation expected from a reduction in angiotensin II synthesis (Cohn et al. 1991). It seems that the limiting role of peripheral (muscle) factors to exercise in CHF is reduced by treatment with ACE inhibitors (Jondeau et al. 1997). Given that the functional limitations in CHF seem to relate to impaired skeletal muscle metabolic efficiency, the benefits of exercise training in heart failure may be partly due to some measure of rectification of this deficit. It is possible that the benefits of ACE inhibitors might similarly be mediated through an enhancement of skeletal muscle metabolic efficiency.

Tissue renin-angiotensin systems (RAS) and skeletal muscle function

Tissue RAS

The circulating human renin-angiotensin system (RAS) has long been recognized to play an important role in circulatory homeostasis. Angiotensinogen produced by the liver is acted upon by renin (produced by the kidney) to produce angiotensin I (Ang I). This is cleaved by circulating (and membrane-bound) ACE, to generate the potent vasoconstrictor angiotensin II (Ang II). Ang II also stimulates adrenal aldosterone release (leading to salt and water retention), and degrades vasodilator kinins. In this way, increasing RAS activity raises blood pressure. However, it has become increasingly clear that evolutionarily ancient local renin-angiotensin systems exist in diverse tissues including human myocardium (Dzau 1988), adipose tissue (Jonsson et al. 1994), and skeletal muscle (Dragovic et al. 1996), for which a metabolic role has been suggested.

Modification of skeletal muscle metabolic efficiency might provide one explanation for the remarkable beneficial effects of ACE-inhibitor treatment in those with CHF. We have investigated such a peripheral metabolic role for tissue RAS, through the utilization of a common genetic variant in the human ACE gene. In the human ACE gene, the absence (Deletion, D allele) rather than the presence (Insertion, I allele) of a 287 base pair fragment at intron 16 is associated with higher tissue ACE activity (Danser et al. 1995). The I and D alleles are equally common, meaning that we can divide the British population into 25% who are ‘II’ (with low tissue ACE activity), 50% who are ‘ID’ (with intermediate tissue ACE activity), and 25% who are DD (and have the higher tissue ACE activity). We have examined the responses of humans to various physiological stimuli according to their ACE genotype. These studies strongly support a metabolic role for tissue RAS and demonstrate a remarkable, and previously unreported, role in the regulation of human skeletal muscle performance and metabolism. These data may account for many of the beneficial effects of ACE inhibition in the treatment of cardiac failure, and pave the way for the development of more specific drug classes with even greater efficacy.

ACE genotype and exercise-induced left ventricular growth

Initial studies were performed in young male army recruits before and after a 10-week physical training programme (Montgomery et al. 1997). Left ventricular (LV) mass measured by echocardiography, altered by + 2.0 g, + 38.5 g and + 42.3 g for II, ID and DD genotypes, respectively (P < 0.0001). The prevalence of electrocardiographically defined LVH rose from 6/24 before training to 11/24 afterwards in those of DD genotype (P < 0.01), but from 8/30 to only 9/30 in those of II genotype. Clearly, one might explain these data in one of two ways: either that the DD genotype is associated with an excessive growth response to any given burden, or that the burden on the heart (in terms of cardiac work performed per unit of external skeletal muscular work) is greater. Early data suggested that, in fact, the D allele was associated with increased cardiac work in order to achieve similar external skeletal muscle mechanical work. Certainly, there is evidence to suggest an effect of local RAS activity on cardiac growth responses. Consistent with this suggestion, analysis of data for 460 consecutive recruits at the end of 10 weeks training revealed a trend towards poorer performance in a 1.5 mile run being associated with the D allele (mean ± SD time in minutes 9.76 ± 0.63 vs. 9.83 ± 0.62 vs. 9.90 ± 0.69 min for II, ID and DD, respectively) (unpublished data).

Physical performance and ACE genotype

The results from our work with military recruits (Montgomery et al. 1997) would suggest that, for any given external work load, those of II genotype (a marker of lower ACE activity) might have to perform less cardiac work. In other words, at any given level of cardiac work, external work (or performance) might be lower. We examined this hypothesis. Seventy-eight recruits (mean ± SEM, age 19.0 ± 0.2 years: ACE genotype 20 [25.6%] II, 46 [62.8%] ID, 12 [15.4%] DD) completed an identical 10-week general physical training programme. The maximum duration (in seconds) for which they could perform repetitive elbow flexion whilst holding a 15-kg barbell was assessed. Exercise duration, independent of genotype at baseline, improved in a genotype-dependent fashion after 10-weeks of training (79.4 ± 25.2 vs. 24.7 ± 8.8 vs. 7.1 ± 14.9 s for II vs. ID vs. DD, respectively) Improvement was thus 11-fold greater (p 0.001) for those of II than DD genotype (Montgomery et al. 1998).

Such effects on upper limb flexor performance seem to extend to global physical performance. Amongst British Olympic-standard runners, there is a linear trend of increasing I allele frequency with distance run, with the proportion of I alleles increasing from 0.35 to 0.53 and 0.62 amongst those running ≤ 200 m (n = 20: predominantly anaerobic), 400–3000 m (n = 37: mixed aerobic and anaerobic) and ≥ 5000 m (n = 34: predominantly aerobic), respectively (P = 0.009 for linear trend)(Myerson et al. 1999). High altitude mountaineers (who perform extreme hypoxic endurance exercise) also exhibit an excess of the I allele when compared to controls − but to a much more marked degree. Twenty-five elite unrelated male British mountaineers with a history of ascents beyond 7000 m without the use of supplemental inspired oxygen were studied. Genotype distribution was compared to that of 1906 healthy British males. Mean (SD) age was 40.6 (6.5) years in the 25 subjects, and 55.6 (3.2) years amongst the 1906 controls. Both genotype distribution and allele frequency differed significantly between climbers and controls (p 0.02 and 0.003, respectively), with a relative excess of II genotype and deficiency of DD genotype. Amongst the 15 climbers who had ascended beyond 8000 m without oxygen, none was of DD genotype (6 (40%) II and 9 (60%) ID: I allele frequency 0.65). Ranked by number of ascents without oxygen, the top performer climbing over 8000 m was of II genotype (5 ascents, compared to a mean of 2.4 ± 0.3 ascents for the > 8000 m group), as were the top two in this group for number of additional 7000 m ascents (> 100 and 18, compared to a mean of 10.3 ± 6.5 ascents)(Montgomery et al. 1998).

The I allele thus seems to be associated with enhanced endurance potential in skeletal muscle. We have recently shown that the I allele is associated with greater improvements in metabolic efficiency of skeletal muscle with training. Fifty-eight Caucasian male army recruits (35 II and 23 DD) were studied before and after an 11-week programme of (primarily aerobic) physical training. ‘Delta efficiency’ (the ratio of the change in muscle work performed/min to the change in energy expended/min: the most valid measure of the efficiency of muscular contraction) (Gaesser & Brooks 1975) was calculated. Prior to training, delta efficiency was independent of genotype (24.5% and 24.9%, respectively, P = 0.59). However, the response to training was strongly genotype-dependent, with delta efficiency rising significantly only amongst those of II genotype (absolute change of − 0.26% for those of DD genotype (P > 0.05) and 1.87% for those of II genotype (P < 0.01): P < 0.025 for II vs. DD)(Williams et al. 2000).

The administration of Ang II to rodent models is associated with a pressor-independent reduction in metabolic efficiency, and a consequent skeletal muscle cachectic response consistent with an effect of tissue RAS on skeletal muscle metabolic efficiency (Brink et al. 1996). Conversely, a reduction in ACE activity through pharmacological means seems to beneficially alter skeletal muscle metabolism, and the benefits of ACE inhibition in patients with CHF thus seem mediated though peripheral (skeletal muscle) metabolic effects rather than through central (cardio-respiratory) effects (Jondeau et al. 1997). Forearm oxygen consumption during maximal exercise is lower in patients with severe CHF, and is increased by the administration of the ACE-inhibitor captopril (Imaizumi et al. 1990). In rats with CHF, muscle ATP and creatine phosphate levels decline more quickly with exercise than in control, and lactate levels rise faster. Six weeks of treatment with the ACE inhibitor trandolapril reverses these effects, suggesting that ACE inhibition may restore skeletal muscle metabolic efficiency (Yamaguchi et al. 1999).

Mechanism of the beneficial effect of low ACE activity

Improvements in skeletal muscle metabolic function related to low ACE activity may in part relate to changes in muscle composition. Type I (slow twitch) fibres have a maximum velocity of shortening (Vmax) which is < 5-fold lower than that in type II fibres. Muscular efficiency is maximal at speeds of contraction of approximately 1/3 Vmax and thus, at slower velocities of contraction, type I fibres are more efficient than type II fibres (Coyle et al. 1992). Secondly, alterations in mitochondrial uncoupling protein (UCP) expression may play a critical role. UCP2 and UCP3 are expressed in human skeletal muscle, and uncouple mitochondrial respiration from ATP synthesis (Boss et al. 1998). The expression of uncoupling proteins may be modified in order to adjust metabolic efficiency in times of metabolic stress or surplus. Endurance exercise training in rats is associated with a 54% and 76% reduction in skeletal muscle UCP2 and UCP3 expression, respectively, thus allowing for a potentially higher level of metabolic efficiency. Cardiac muscle UCP2 levels also fell by 41%, suggesting that the effects on metabolic efficiency might extend to both cardiac and skeletal muscle (Boss et al. 1998).

Conclusions

An intrinsic deficiency in the fatigue resistance and endurance performance of skeletal muscle is responsible for much of the symptomatic limitation attributed to chronic heart failure. This impaired performance also relates in part to defects in muscle metabolic efficiency (Musch et al. 1990; Kemp et al. 1996; Opasich et al. 1996; Opasich et al. 1997). Regular moderate exercise training directly improves skeletal muscle performance in heart failure patients through improvements in skeletal muscle metabolic efficiency. There may be a crucial role for renin-angiotensin systems in these findings: Angiotensin II infusion is associated with increased metabolic inefficiency, whilst low ACE activity (as marked by the I allele of the ACE gene) is associated with substantially greater improvements in skeletal muscle metabolic efficiency seen with training. It is thus possible that the substantial advantages of ACE inhibition in heart failure treatment relate to improvements in metabolic performance of skeletal and possibly cardiac muscle.

References

  1. Afzal A, Brawner CA, Keteyian SJ. Exercise training in heart failure. Prog Cardiovasc Dis. 1998;41(3):175–190. doi: 10.1016/s0033-0620(98)80054-6. [DOI] [PubMed] [Google Scholar]
  2. AIRE Study Investigators. Effect of ramipril on mortality and morbidity of survivors of acute myocardial infarction with clinical evidence of heart failure. Lancet. 1993;342(8875):821–828. [PubMed] [Google Scholar]
  3. Belardinelli R, Georgiou D, Scocco V, Barstow TJ, Purcaro A. Low intensity exercise training in patients with chronic heart failure. J Am Coll Cardiol. 1995;26(4):975–982. doi: 10.1016/0735-1097(95)00267-1. 10.1016/0735-1097(95)00267-1. [DOI] [PubMed] [Google Scholar]
  4. Boss O, Samec S, Desplanches D, et al. Effect of endurance training on mRNA expression of uncoupling proteins 1, 2, and 3 in the rat. FASEB J. 1998;12:335–339. doi: 10.1096/fasebj.12.3.335. [DOI] [PubMed] [Google Scholar]
  5. Brink M, Wellen J, Delafontaine P. Angiotensin II causes weight loss and decreases circulating insulin-like growth factor I in rats through a pressor-independent mechanism. J Clin Invest. 1996;97(11):2509–2516. doi: 10.1172/JCI118698. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Brunotte F, Thompson CH, Adamopoulos S, et al. Rat skeletal muscle metabolism in experimental heart failure: effects of physical training. Acta Physiol Scand. 1995;154(4):439–447. doi: 10.1111/j.1748-1716.1995.tb09929.x. [DOI] [PubMed] [Google Scholar]
  7. Coats A. Interruption of the progression of heart failure: are ACE inhibitors the solution? Cardiology. 1996a;87(Suppl 1):11–15. doi: 10.1159/000177162. [DOI] [PubMed] [Google Scholar]
  8. Coats AJ. The ‘muscle hypothesis’ of chronic heart failure. J Mol Cell Cardiol. 1996b;28(11):2255–2262. doi: 10.1006/jmcc.1996.0218. 10.1006/jmcc.1996.0218. [DOI] [PubMed] [Google Scholar]
  9. Cohn JN, Johnson G, Ziesche S, et al. A comparison of enalapril with hydralazine-isosorbide dinitrate in the treatment of chronic congestive heart failure. N Engl J Med. 1991;325(5):303–310. doi: 10.1056/NEJM199108013250502. [DOI] [PubMed] [Google Scholar]
  10. Coyle EF, Sidossis LS, Horowitz JF, Beltz JD. Cycling efficiency is related to the percentage of Type I muscle fibers. Med Sci Sports Exerc. 1992;24(7):782–788. [PubMed] [Google Scholar]
  11. Danser AH, Schalekamp MA, Bax WA, et al. Angiotensin converting enzyme in the human heart. Effect of the deletion/insertion polymorphism. Circulation. 1995;92(6):1387–1388. doi: 10.1161/01.cir.92.6.1387. [DOI] [PubMed] [Google Scholar]
  12. Dragovic T, Minshall R, Jackman HL, Wang L-X, Erdos EG. Kininase II-type enzymes. Their putative role in muscle energy metabolism. Diabetes. 1996;45(Suppl 1):S34–S37. doi: 10.2337/diab.45.1.s34. [DOI] [PubMed] [Google Scholar]
  13. Dzau VJ. Circulating vs local renin-angiotensin system in cardiovascular homeostasis. Circulation. 1988;77(Suppl 1):I4–I13. [PubMed] [Google Scholar]
  14. Gaesser GA, Brooks GA. Muscular efficiency during steady-state exercise: effects of speed and work rate. J Appl Physiol. 1975;38:1132–1139. doi: 10.1152/jappl.1975.38.6.1132. [DOI] [PubMed] [Google Scholar]
  15. Gissane C, Corrigan DL, White JA. Gross efficiency responses to exercise conditioning in adult males of various ages. J Sports Sci. 1991;9(4):383–391. doi: 10.1080/02640419108729898. [DOI] [PubMed] [Google Scholar]
  16. Group EHFT. Experience from controlled trials of physical training in chronic heart failure. Protocol and patient factors in effectiveness in the improvement in exercise tolerance. Eur Heart J. 1998;19(3):466–475. doi: 10.1053/euhj.1997.0736. 10.1053/euhj.1997.0736. [DOI] [PubMed] [Google Scholar]
  17. Hambrecht R, Fiehn E, Yu J, et al. Effects of endurance training on mitochondrial ultrastructure and fiber type distribution in skeletal muscle of patients with stable chronic heart failure. J Am Coll Cardiol. 1997;29(5):1067–1073. doi: 10.1016/s0735-1097(97)00015-6. 10.1016/s0735-1097(97)00015-6. [DOI] [PubMed] [Google Scholar]
  18. Hare DL, Ryan TM, Selig SE, Pellizzer AM, Wrigley TV, Krum H. Resistance exercise training increases muscle strength, endurance, and blood flow in patients with chronic heart failure. Am J Cardiol. 1999;83(12):1674–1677. doi: 10.1016/s0002-9149(99)00179-4. 10.1016/s0002-9149(99)00179-4. [DOI] [PubMed] [Google Scholar]
  19. Harridge SD, Magnusson G, Gordon A. Skeletal muscle contractile characteristics and fatigue resistance in patients with chronic heart failure. Eur Heart J. 1996;17(6):896–901. doi: 10.1093/oxfordjournals.eurheartj.a014971. [DOI] [PubMed] [Google Scholar]
  20. Imaizumi T, Takeshita A, Nakamura N, et al. Effects of captopril on forearm oxygen consumption during dynamic handgrip exercise in patients with congestive heart failure. Jpn Heart. 1990;31(6):817–828. doi: 10.1536/ihj.31.817. [DOI] [PubMed] [Google Scholar]
  21. Jondeau GCDJ, Dubourg O, Bourdarias JP. Relation of functional improvement in congestive heart failure after quinapril therapy to peripheral limitation. Am J Cardiol. 1997;79(5):635–638. doi: 10.1016/s0002-9149(96)00830-2. 10.1016/s0002-9149(96)00830-2. [DOI] [PubMed] [Google Scholar]
  22. Jondeau G, Katz SD, Zohman L, et al. Active skeletal muscle mass and cardiopulmonary reserve. Failure to attain peak aerobic capacity during maximal bicycle exercise in patients with severe congestive heart failure. Circulation. 1992;86(5):1351–1356. doi: 10.1161/01.cir.86.5.1351. [DOI] [PubMed] [Google Scholar]
  23. Jonsson JR, Game PA, Head RJ, Frewin DB. The expression and localisation of the angiotensin-converting enzyme mRNA in human adipose tissue. Blood Pressure. 1994;3:72–75. doi: 10.3109/08037059409101524. [DOI] [PubMed] [Google Scholar]
  24. Katsuki T, Yasu T, Ohmura N, Nakada I, Fujii M, Saito M. Role of skeletal muscle metabolism in exercise capacity of patients with myocardial infarction studied by phosphorus-31 nuclear magnetic resonance. Jpn Circ J. 1995;59(6):315–322. doi: 10.1253/jcj.59.315. [DOI] [PubMed] [Google Scholar]
  25. Kemp GJ, Thompson CH, Stratton JR, et al. Abnormalities in exercising skeletal muscle in congestive heart failure can be explained in terms of decreased mitochondrial ATP synthesis, reduced metabolic efficiency, and increased glycogenolysis. Heart. 1996;76:35–41. doi: 10.1136/hrt.76.1.35. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Kulkarni RN, Shetty PS. Net mechanical efficiency during stepping in chronically energy-deficient subjects. Ann Hum Biol. 1992;19:421–425. doi: 10.1080/03014469200002272. [DOI] [PubMed] [Google Scholar]
  27. Lecarpentier Y, Chemla D, Blanc FX, et al. Mechanics, energetics, and crossbridge kinetics of rabbit diaphragm during congestive heart failure. FASEB J. 1998;12(11):981–989. doi: 10.1096/fasebj.12.11.981. [DOI] [PubMed] [Google Scholar]
  28. Magnusson G, Kaijser L, Rong H, Isberg B, Sylven C, Saltin B. Exercise capacity in heart failure patients: relative importance of heart and skeletal muscle. Clin Physiol. 1996;15(2):183–195. doi: 10.1111/j.1475-097x.1996.tb00567.x. [DOI] [PubMed] [Google Scholar]
  29. Maillefert J, Eicher JC, Walker P, et al. Effects of low-frequency electrical stimulation of quadriceps and calf muscles in patients with chronic heart failure. J Cardiopulm Rehabil. 1998;18(4):277–282. doi: 10.1097/00008483-199807000-00004. [DOI] [PubMed] [Google Scholar]
  30. Massie BM, Conway M, Rajagopalan B, et al. Skeletal muscle metabolism during exercise under ischemic conditions in congestive heart failure. Evidence for abnormalities unrelated to blood flow. Circulation. 1988;78(2):320–326. doi: 10.1161/01.cir.78.2.320. [DOI] [PubMed] [Google Scholar]
  31. McKelvie RS, Teo KK, McCartney N, Humen D, Montague T, Yusuf S. Effects of exercise training in patients with congestive heart failure: a critical review. J Am Coll Cardiol. 1995;25(3):789–796. doi: 10.1016/0735-1097(94)00428-S. 10.1016/0735-1097(94)00428-s. [DOI] [PubMed] [Google Scholar]
  32. Minotti JR, Christoph I, Oka R, Weiner MW, Wells L, Massie BM. Impaired skeletal muscle function in patients with congestive heart failure. Relationship to systemic exercise performance. J Clin Invest. 1991;88(6):2077–2082. doi: 10.1172/JCI115537. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Montgomery HE, Clarkson P, Dollery CM, et al. Association of angiotensin-converting enzyme gene I/D polymorphism with change in left ventricular mass in response to physical training. Circulation. 1997;96:741–747. doi: 10.1161/01.cir.96.3.741. [DOI] [PubMed] [Google Scholar]
  34. Montgomery HE, Marshall RM, Hemingway H, et al. Human gene for physical performance. Nature. 1998;393(6682):221–222. doi: 10.1038/30374. 10.1038/30374. [DOI] [PubMed] [Google Scholar]
  35. Musch TI, Ghaul MR, Tranchitella V, Zelis R. Skeletal muscle glycogen depletion during submaximal exercise in rats with chronic heart failure. Basic Res Cardiol. 1990;85(6):606–618. doi: 10.1007/BF01907895. [DOI] [PubMed] [Google Scholar]
  36. Myerson S, Hemingway H, Budget R, Martin J, Humphries S, Montgomery H. Human angiotensin I-converting enzyme gene and endurance performance. J Appl Physiol. 1999;87(4):1313–1316. doi: 10.1152/jappl.1999.87.4.1313. [DOI] [PubMed] [Google Scholar]
  37. Opasich C, Aquilani R, Dossena M, et al. Biochemical analysis of muscle biopsy in overnight fasting patients with severe chronic heart failure. Eur Heart J. 1996;17(11):1686–1693. doi: 10.1093/oxfordjournals.eurheartj.a014752. [DOI] [PubMed] [Google Scholar]
  38. Opasich C, Pasini E, Aquilani R, et al. Skeletal muscle function at low work level as a model for daily activities in patients with chronic heart failure. Eur Heart J. 1997;18(10):1626–1631. doi: 10.1093/oxfordjournals.eurheartj.a015143. [DOI] [PubMed] [Google Scholar]
  39. Spurr GB, Dufour DL, Reina JC. Increased muscular efficiency during lactation in Columbian women. Eur J Clin Nutrit. 1998;52:17–21. doi: 10.1038/sj.ejcn.1600504. [DOI] [PubMed] [Google Scholar]
  40. Stratton JR, Levy WC, Cerqueira MD, Schwartz RS, Abrass IB. Cardiovascular responses to exercise: effect of ageing and exercise training in healthy men. Circulation. 1994;89:1648–1655. doi: 10.1161/01.cir.89.4.1648. [DOI] [PubMed] [Google Scholar]
  41. Sullivan MJ, Hawthorne MH. Exercise intolerance in patients with chronic heart failure. Prog Cardiovasc Dis. 1995;38(1):1–22. doi: 10.1016/s0033-0620(05)80011-8. [DOI] [PubMed] [Google Scholar]
  42. Tyni-Lenne R, Gordon A, Europe E, Jansson E, Sylven C. Exercise-based rehabilitation improves skeletal muscle capacity, exercise tolerance, and quality of life in both women and men with chronic heart failure. J Card Fail. 1998;4(1):9–17. doi: 10.1016/s1071-9164(98)90503-6. [DOI] [PubMed] [Google Scholar]
  43. Williams AG, Rayson MP, Jubb M, et al. The ACE gene and muscle performance. Nature. 2000;403:614. doi: 10.1038/35001141. [DOI] [PubMed] [Google Scholar]
  44. Yamaguchi F, Kawana K, Tanonaka K, et al. Improvement of exercise capacity of rats with chronic heart failure by long-term treatment with trandolapril. Br J Pharmacol. 1999;126(7):1585–1592. doi: 10.1038/sj.bjp.0702471. [DOI] [PMC free article] [PubMed] [Google Scholar]

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