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Maximal exercise test is a useful method for physical capacity and oxygen consumption determination in streptozotocin-diabetic rats



The aim of the present study was to investigate the relationship between speed during maximum exercise test (ET) and oxygen consumption (VO2) in control and STZ-diabetic rats, in order to provide a useful method to determine exercise capacity and prescription in researches involving STZ-diabetic rats.


Male Wistar rats were divided into two groups: control (CG, n = 10) and diabetic (DG, n = 8). The animals were submitted to ET on treadmill with simultaneous gas analysis through open respirometry system. ET and VO2 were assessed 60 days after diabetes induction (STZ, 50 mg/Kg).


VO2 maximum was reduced in STZ-diabetic rats (72.5 ± 1 mL/Kg/min-1) compared to CG rats (81.1 ± 1 mL/Kg/min-1). There were positive correlations between ET speed and VO2 (r = 0.87 for CG and r = 0.8 for DG), as well as between ET speed and VO2 reserve (r = 0.77 for CG and r = 0.7 for DG). Positive correlations were also obtained between measured VO2 and VO2 predicted values (r = 0.81 for CG and r = 0.75 for DG) by linear regression equations to CG (VO2 = 1.54 * ET speed + 52.34) and DG (VO2 = 1.16 * ET speed + 51.99). Moreover, we observed that 60% of ET speed corresponded to 72 and 75% of VO2 reserve for CG and DG, respectively. The maximum ET speed was also correlated with VO2 maximum for both groups (CG: r = 0.7 and DG: r = 0.7).


These results suggest that: a) VO2 and VO2 reserve can be estimated using linear regression equations obtained from correlations with ET speed for each studied group; b) exercise training can be prescribed based on ET in control and diabetic-STZ rats; c) physical capacity can be determined by ET. Therefore, ET, which involves a relatively simple methodology and low cost, can be used as an indicator of cardio-respiratory capacity in future studies that investigate the physiological effect of acute or chronic exercise in control and STZ-diabetic male rats.


Diabetes is a great public health problem associated with high morbidity and mortality. Frequently, this condition is accompanied by other disorders, such as coronary heart disease, hypertension, dyslipidemia and obesity [1]. One consequence of this metabolic condition is the reduced exercise capacity that has been commonly observed in diabetic patients. This reduction is probably dependent on various physiological factors, such as neuromuscular activity, hemodynamics, and respiratory mechanics and oxygen consumption [2].

Maximum oxygen consumption (VO2 max) test is highly reproducible, and it is considered a "gold standard" for functional capacity assessment in athletes and sick individuals. This parameter expresses the functional health of the cardiovascular, pulmonary, and skeletal muscle systems [3]. In addition, it provides important prognostic information that is useful for identifying potential candidates for cardiac transplantation [3, 4]. VO2 max test also provides objective data, which is helpful in formulating appropriate exercise prescription [5, 6]. However, sometimes VO2 max measurements have limited use in animal experimentation because of the high cost of the gas analyzer equipment [7] and its time-consuming characteristic.

Maximum and submaximum exercise tests (ET) have been considered safe and well tolerated. This method implies simple measures of functional capacity, and it has been used in clinics, physical qualification programs, and cardiac rehabilitation programs [8, 9]. The assessment of cardio-respiratory responses to acute and chronic exercise, using different methods (as used in humans), has been a common practice in the investigation of animal models.

In experimental practice, VO2 max measurement is a noninvasive tool that has great value in the study of functional capacity of animals. Therefore, maximum ET, in which animal runs to exhaustion on a graded load treadmill, has been used by our group as an alternative method of evaluation of physical capacity, and it is also used for physical training prescription in health and pathological conditions [6, 1016].

Streptozotocin (STZ)-induced diabetes has been largely used in the study of the role of exercise training in diabetic-induced cardiovascular and autonomic dysfunction [6, 14, 16]. However, the relationship between the speed of ET and VO2, as well as the accuracy of ET in estimating cardio-respiratory capacity remains unclear in STZ-diabetic rats. Therefore, the purpose of the present investigation was to evaluate the relationship between the speeds of ET and both VO2 and VO2 reserve (VO2 res) and to validate the equations to predict the VO2 and VO2 res based on speeds of ET in control and STZ-diabetic rats.


Experiments were performed on 18 untrained adult male Wistar rats (200–300 g) from the Animal House of the University of Sao Paulo, Sao Paulo, Brazil. Animals received standard laboratory chow and water ad libitum, were housed in collective polycarbonate cages (n = 2/group), and kept in a temperature-controlled room (22°C) with a 12-h dark-light cycle (light 07:00–19:00 h). The Medical School of the University of Sao Paulo Institutional Animal Care and Use Committee approved the experimental protocol, and this study was conducted in accordance with the National Institutes of Health (NIH) Guide for the Care and Use of Laboratory Animals. Rats were randomly assigned to 2 experimental groups: control (CG, n = 10) and diabetic (DG, n = 8).

Experimental diabetes model

Experimental diabetes was induced by intravenous injection of 50 mg/kg of STZ (Sigma Chemical Co., St. Louis, MO) dissolved in citrate buffer (pH 4.2). Food was withheld from the rats for 6 hours before STZ injection. Control rats received a placebo (10 mM citrate buffer, pH: 4,5) after a similar fasting period. 48 hours after STZ injection, blood glucose levels above 200 mg/dL confirmed the diabetic state.

Measurement of Oxygen Consumption and Maximal Exercise Test

Sixty days after STZ-induction of diabetes, the animals were placed on a treadmill and enclosed in an airtight metabolic chamber. This chamber was adapted for the determination of O2 uptake (VO2) by using an open-circuit method. After 30 minutes of rest on the treadmill, VO2 basal was collected. VO2 was measured by means of expired gas analysis during a ramp protocol of a progressive exercise test, which consists on a treadmill exercise with 3 m/min increments every 3 minutes, and finishes when VO2 max is reached. VO2 max was defined as the VO2 after which an increase in work rate was not associated with a further increase (± 5%) in continuously measured O2 uptake. The metabolic chamber-enclosed treadmill was airtight, except for the front inflow and rear outflow port. Appropriate inspired PO2 was delivered from gas thanks with known concentrations. Inflow was maintained constant at ~6 l/min. Inflowing and outflowing O2 concentrations were measured continuously through an oxygen analyzer (S-3A/I, Ametek, Pittsburgh, PA, USA).

VO2 was calculated using the measured flow through the metabolic chamber (PF), the expired fraction of effluent oxygen (FEO2), the fraction of oxygen in room air (FIO2), and animals body weight (BW), by the formula previously described by Rolim et al [17]:

The VO2 reserve was calculated by the formula:

Statistical analysis

The data are reported as mean ± SEM. A Pearson's product-moment correlation coefficient and univariate was used to evaluate the relationship between: (a) ET and VO2; (b) ET and VO2 res; (c) VO2 measured and VO2 predicted by equation, and (d) VO2 res measured and VO2 res predicted by equation. ANOVA one way, followed by the Student-Newman-Keuls post-hoc test was used to compare groups. Statistical significance was established at p < 0.05. Data are reported as means ± SEM.


Animal characteristics

The body weight was lower in DG (235 ± 13 g) than in CG (445 ± 16 g) (p < 0.05). The diabetic animals developed severe hyperglycemia (DG: 397 ± 9 mg/dL) compared with control animals (CG: 88 ± 4 mg/dL) (p < 0.05).

Exercise capacity

Diabetic group presented reduced values of maximum running speed in ET compared with that observed in CG (19 ± 1 vs. 24 ± 1 m/min, p < 0.01). VO2 max (72.5 ± 1 vs. 81.1 ± 1 mL/Kg/min-1 in CG, p < 0.01), and VO2 res max (34 ± 2 vs. 51 ± 1 mL/Kg/min-1in CG, p < 0.01) were also reduced in DG compared with that in CG.

Relationship between ET speed and VO2 or VO2 reserve

VO2 of both studied groups presented a linear increase during incremental speed protocols. In fact, we observed positive correlations between ET speed and VO2 in CG (r = 0.87; p < 0.05) (Figure 1A) and DG (r = 0.81; p < 0.05) (Figure 1C). Moreover, additional positive correlations were observed between ET speed and VO2 reserve in both CG (r = 0.77; p < 0.05) (Figure 1B) and DG (0.70; p < 0.05) (Figure 1D). Linear regression analysis were used to obtain the equations for correlations between ET speed and VO2: CG (VO2 = 1.54 * ET speed + 52.34) and DG (VO2 = 1.16 * ET speed + 51.99), and ET speed and VO2 reserve: CG (VO2 res = 1.91* ET speed + 18.10) and DG (VO2 res = 1.17* ET speed + 14.82).

Figure 1
figure 1

Relationships between VO2 and VO2 reserve (VO2 res) and exercise test speed (ET speed) in control (CG) and diabetic (DG) groups.

We also observed a positive correlation between maximum speed of ET and VO2 max for both studied groups: CG (r = 0.7; p < 0.05) and DG (r = 0.7; p < 0.05). Thus, this data suggests that higher maximal speeds achieved on ET are associated with higher VO2 max values.

Relationship between VO2 and VO2 reserve measured versus predicted

We tested the correlations between measured VO2 and VO2 predicted by linear regression equation to validate previously proposed predictive equations, and the same was done for VO2 reserve. There were positive correlations between VO2 measured and VO2 predicted (r = 0.81, p < 0.01 for CG; and r = 0.75, p < 0.05 for DG), and also between VO2 res measured and VO2 res predicted (r = 0.83, p < 0.01 for CG; and r = 0.75, p < 0.03 for DG) (Table 1).

Table 1 Relationships between measured VO2 and VO2 reserve with predicted VO2 and VO2 reserve.

Relationship between percentiles of ET and percentiles of VO2 and VO2 reserve

Exercise prescriptions are commonly based on velocities corresponding to 40, 60, and 85% of maximum speed of ET. Therefore, we calculated the speed values corresponding to these percentages, considering 24 ± 1 and 19 ± 1 m/min as 100% of ET for CG and DG, respectively.

The speed (m/min) corresponded to each percentile value of ET was applied in the linear regression equations that correlate ET speed and VO2, absolute or reserve, to obtain the estimated VO2, as seen in Table 2. Finally, the percentiles were calculated for each value of VO2 and VO2 reserve obtained from 40, 60, and 85% of the maximum speed of ET. Corresponding percentiles of VO2 predicted and VO2 reserve predicted based on 40, 60 and 85% of ET are shown in Figure 2.

Table 2 Relationship between percentiles of exercise test and percentiles of VO2 and VO2 reserve.
Figure 2
figure 2

Corresponding percentiles of VO2 predicted and VO2 reserve predicted (VO2 res. predicted) based on 40, 60 and 85% of exercise test (%ET) in control (CG) and diabetic (DG) groups.


The worldwide epidemic of diabetes that have emerged with the dawning of the 21st century has shown to be a major public heath problem, having struck developed countries as well as those still developing [1]. The diabetes induced by streptozotocin has been a largely used in animal models to study diabetic-induced cardiovascular and autonomic dysfunction [5, 1820].

It is well known that laboratory animals are constantly used in exercise physiology and cardiovascular rehabilitation research. However, the measurement of oxygen consumption in small animals is, many times, a limitation factor for research in this area, not only because of the high costs of gas analyses systems [7, 21], but also because of two other important factors. First, the VO2 measurement must be carried out in a separate place from the rest of the laboratory to prevent alterations in the concentration of gases around the environment during data acquisition, and second, it is time-consuming because VO2 stabilization can take some time in rats. Moreover, the closed environment of the respiratory chamber may provoke one more stress situation for the experimental animal.

Although various instruments for human VO2 and VO2 reserve acquisition exist, to our knowledge, the respiratory chamber is the only one permitting continuous direct monitoring of VO2 in laboratory animals [17].

Studies of our laboratory have been conducted to investigate the benefits of exercise training in STZ-diabetic rats [6, 14, 16] and others pathological conditions [10, 13, 15], using the exercise training prescription based on maximal exercise test. In the present study, we have demonstrated that STZ-diabetes reduces VO2 max, VO2 res max and maximum running speed on ET. Furthermore, we also obtained significant correlations between VO2 and ET speed, VO2 reserve and ET speed and VO2 max and maximum ET speed in control and STZ-diabetic rats.

Accurate monitoring of VO2 consumption healthy or sick subjects is of great interest to medical research [22, 23]. Researches have been wide for indirect forms of estimating VO2 max [7, 24, 25]. In 1954, Astrand & Ryhming [24] published a nomogram to predict VO2 max from submaximal pulse rates (120 to 170 bpm). Some years later, this nomogram was modified, and it is still being used today [26]. Balke & Ware [27], in 1959, developed a new protocol, and established a formula to calculate VO2 based on the speed and on treadmill slope [28]. In addition, recently, Maldonado-Martin et al. [29] demonstrated a good correlation between VO2 peak and the 6-minute walking test (6-MWT) in heart failure patients. However, these authors also concluded that when VO2 (peak) is predicted from equations using 6-MWT, the result is a substantial variability. Consequently, it should not be used in older HF patients, in which an accurate determination of functional capacity is essential. Currently, VO2 max, for both health men and women, can be estimated according to the formulas adopted by the American College of Sports Medicine [30].

The maximum VO2 values obtained in the present work are in accordance with previous findings for normal adult rats [31]. Likewise, the maximum speed values obtained in the exercise test are considered adequate values for rats and mice [7, 13, 15, 26]. The reduction in VO2 max observed in diabetic rats can be due to many factors, such as cardiac output limitations [5, 6], reduced peripheral blood flow [32] and problems in skeletal muscle metabolism [33].

The results of the present study provide values of VO2 for adult Wistar male rats at different treadmill speeds. In the range of treadmill speeds, 3 to 24 m/min for CG and 3 to 19 m/min for DG, VO2 increased progressively as a function of running speed, and it could be expressed by simple linear equations obtained by linear regression (VO2 = 1.54 * ET speed + 52.34, for CG; and VO2 = 1.16 * ET speed + 51.99, for DG). This equation allows VO2 estimation for one definitive workload, and it also gives the VO2 max from the maximum ET speed.

The increment in VO2 as a function of speed (Figure 1) was described in previous studies [34, 35], and other predicted forms were proposed for Wistar-Kyoto and Spontaneously Hypertensive Rats [36]. However, our study has shown that STZ-diabetic rats present different slopes of VO2 in response to speed increment when compared to control rats. In fact, available data suggests that each experimental rat model needs a specific equation to predict the VO2 and VO2 reserve.

In this study, we tested the approximation between measured VO2 and VO2 reserve with VO2 and VO2 reserve predicted by linear regression equations in study groups. Significant correlations were observed between measured VO2 and VO2 reserve with predicted VO2 and VO2 reserve variables for CG (r = 0.81 and r = 0.83; p < 0.003) and DG (r = 0.75 and r = 0.75; p < 0.005), respectively. Thus, our study has showed that these equations, which are used to predict VO2 and VO2 reserve from ET, are valid for control and STZ-diabetic rats.

In exercise physiology, it is common and appropriate to characterize work intensity as percentage of VO2 max. In this study, it was observed that 60% of the maximum ET speed (CG: 14 m/min and DG: 12 m/min) corresponded to 83% of VO2 max and 72% of VO2 reserve in CG and 88% of VO2 max and 75% of VO2 reserve in DG. In animal models, a correlation between ET speed and VO2 was also established for adult and old C57BL/6J mice. In this study, the authors found that the speed of 12 m/min (~50% of the maximum ET speed) produced a VO2 equivalent to 76% and 89% of the VO2 max in adult and old mice, respectively [7]. Furthermore, Wisloff et al. [31] have demonstrated a linear relationship between VO2 and HR in sedentary and trained rats according to the increment of ET speed. Nevertheless, these authors emphasized that the maximum HR is not reached along with VO2 max. Instead, it is reached in intensities above VO2 max. Moreover, this study indicates that values of 90% of the maximum HR correspond to ~80% of the VO2 max.

It is important to highlight the positive correlations observed in the present study between maximum ET speed and VO2 max in CG (r = 0.7, p < 0.05) and DG (r = 0.7, p < 0.05). These correlations demonstrate that rats with higher ET performance presented higher VO2 max. As a result, this finding suggests that a simple ET is capable of detecting differences in the cardio-respiratory capacity of control and diabetic-STZ rats, and it also suggests that the improvement in cardio-respiratory performance (VO2max) after a period of physical training could be detected by maximum ET. In this aspect, it is important to emphasize that Noakes et al. [37] previously demonstrated that the highest speed reached in maximum ET is a better predictor of performance in laboratory tests when compared to %VO2 max, VO2max or racing speed at an extreme lactate threshold among marathon athletes. In our group, we have used ET as an indicator of improvement of exercise capacity after exercise training in diabetic, hypertensive ovariectomized rats and in normal mice [1216].


The results of the present study demonstrated that VO2 can be estimated from the results of ET in control and STZ-diabetic rats. This estimate can be assessed by obtaining equation by linear regression between VO2 and ET. The correlation between ET speed and VO2 showed that physical training prescription based on ET is adequate for control and diabetic animals. Furthermore, our data indicates that ET can detect differences in aerobic performance, as the maximum speed achieved in the ET was correlated with the maximum VO2 in these evaluated experimental models.

Therefore, we concluded that maximal exercise test can be used as an indicator of cardio-respiratory capacity, and it can be useful in further studies that investigate physiological effect of acute or chronic exercise on control and STZ-diabetic male rats.



oxygen consumption

VO2 max:

maximum oxygen consumption

VO2 res:

oxygen consumption of reserve


exercise test




control group


diabetic group


  1. Wang J, Armour T, Geiss LS, Engelgau MM: Obesity and diabetes: dual epidemics on the rise. Curr Opin Endocrinol Diabetes. 2005, 12: 174-180. 10.1097/

    Article  Google Scholar 

  2. Komatsu WR, Gabbay MA, Castro ML, Saraiva GL, Chacra AR, de Barros Neto TL, Dib AS: Aerobic exercise capacity in normal adolescents and those with type 1 diabetes mellitus. Pediatr Diabetes. 2005, 3: 145-149. 10.1111/j.1399-543X.2005.00120.x.

    Article  Google Scholar 

  3. Myers J, Gullestad L, Vagelos R, Do D, Bellin D, Ross H, Fowler MB: Clinical hemodynamic and cardiopulmonary exercise test determinants of survival in patients referred for evaluation of heart failure. Ann Intern Med. 1998, 129: 286-293.

    Article  CAS  PubMed  Google Scholar 

  4. Armstrong LE, Brubaker PH, Otto RM: ACSM's Guidelines for Exercise Testing and Prescription. In American College of Sports Medicine. 2005, Baltimore: Lippincott Williams & Wilkins, 66-99. 7

    Google Scholar 

  5. Wichi R, Malfitano C, Rosa K, De Souza SB, Salemi V, Mostarda C, De Angelis K, Irigoyen MC: Noninvasive and invasive evaluation of cardiac dysfunction in experimental diabetes in rodents. Cardiovasc Diabetol. 2007, 26: 6-14.

    Google Scholar 

  6. De Angelis KL, Oliveira AR, Dall'Ago P, Peixoto LR, Gadonski G, Lacchini S, Fernandes TG, Irigoyen MC: Effects of exercise training on autonomic and myocardial dysfunction in streptozotocin-diabetic rats. Braz J Med Biol Res. 2000, 6: 635-641.

    Google Scholar 

  7. Schefer V, Talan MI: Oxygen consumption in adult and aged C57BL/6J mice during acute treadmill exercise of different intensity. Exp Gerontol. 1996, 3: 387-392. 10.1016/0531-5565(95)02032-2.

    Article  Google Scholar 

  8. Bittner V, Weiner DH, Yusuf S, Rogers WJ, McIntyre KM, Bangdiwala SI, Kronenberg MW, Kostis JB, Kohn RM, Guillotte M, Greemberg B, Woods PA, Bourassa MG: Prediction of mortality and morbidity with a 6-minute walk test in patients with left ventricular dysfunction. SOLVD investigators. JAMA. 1993, 270: 1702-1707. 10.1001/jama.270.14.1702.

    Article  CAS  PubMed  Google Scholar 

  9. Cahalin LP, Mathier MA, Semigran MJ, William G, Disalvo TG: The six-minute walk test predictors peak oxygen uptake and survival in patients with advanced heart failure. Chest. 1996, 110: 325-332.

    Article  CAS  PubMed  Google Scholar 

  10. Bertagnolli M, Campo C, Schenkel PC, de Oliveira VL, De Angelis K, Bello-Klein A, Rigatto K, Irigoyen MC: Baroreflex sensitivity improvement is associated with decreased oxidative stress in trained spontaneously hypertensive rat. Hypertension. 2006, 12: 2437-43.

    Article  Google Scholar 

  11. De Angelis KL, Oliveira AR, Werner A, Bock P, Belló-Klein A, Fernandes TG, Belló AA, Irigoyen MC: Exercise training in aging: hemodynamic, metabolic, and oxidative stress evaluations. Hypertension. 1997, 30 (3 Pt 2): 767-71.

    Article  CAS  PubMed  Google Scholar 

  12. De Angelis Lobo d'Avila K, Gadonski G, Fang J, Dall'Ago P, Albuquerque VL, Peixoto LR, Fernandes TG, Irigoyen MC: Exercise reverses peripheral insulin resistance in trained L-NAME hypertensive rats. Hypertension. 1999, 34 (2): 768-772.

    Article  PubMed  Google Scholar 

  13. De Angelis K, Wichi RB, Jesus WR, Moreira ED, Morris M, Krieger EM, Irigoyen MC: Exercise training changes autonomic cardiovascular balance in mice. J Appl Physiol. 2004, 96 (6): 2174-78. 10.1152/japplphysiol.00870.2003.

    Article  CAS  PubMed  Google Scholar 

  14. Harthmann AD, De Angelis K, Costa LP, Senador D, Schaan BD, Krieger EM, Irigoyen MC: Exercise training improves arterial baro- and chemoreflex in control and diabetic rats. Auton Neurosci. 2007, 133 (2): 115-20. 10.1016/j.autneu.2006.10.004.

    Article  PubMed  Google Scholar 

  15. Irigoyen MC, Paulini J, Flores LJ, Flues K, Bertagnolli M, Moreira ED, Consolim-Colombo F, Bello-Klein A, De Angelis K: Exercise training improves baroreflex sensitivity associated with oxidative stress reduction in ovariectomized rats. Hypertension. 2005, 46 (2): 1-6.

    Google Scholar 

  16. Souza SB, Flues K, Paulini J, Mostarda C, Rodrigues B, Souza LE, Irigoyen MC, De Angelis K: Role of Exercise Training in Cardiovascular Autonomic Dysfunction and Mortality in Diabetic Ovariectomized Rats. Hypertension. 786-791. 2007 Jul 30

  17. Rolim NP, Mattos KC, Brum PC, Baldo MV, Middlekauff HR, Negrao CE: The decreased oxygen uptake during progressive exercise inischemia-induced heart failure is due to reduced cardiac output rate. Braz J Med Biol Res. 2006, 39 (2): 297-304. 10.1590/S0100-879X2006000200018.

    Article  CAS  PubMed  Google Scholar 

  18. De Angelis K, Schann BD, Dall'Ago P, Maeda CY, Wichi R, Irigoyen MC: Cardiovascular control in experimental diabetes. Braz J Med Biol Res. 2002, 35 (9): 1091-1100. 10.1590/S0100-879X2002000900010.

    Article  CAS  PubMed  Google Scholar 

  19. Schaan BD, Dall'Ago P, Maeda CY, Ferlin E, Fernandes TG, Schmid H, Irigoyen MC: Relationship between cardiovascular dysfunction and hyperglycemia in streptozotocin-induced diabetes in rats. Braz J Med Biol Res. 2004, 37: 1895-1902. 10.1590/S0100-879X2004001200016.

    Article  CAS  PubMed  Google Scholar 

  20. Monckton G, Pehowich E: Autonomic neuropathy in the streptozotocin diabetic rat. Can J Neurol Sci. 1980, 7: 135-142.

    CAS  PubMed  Google Scholar 

  21. Rostagno C, Olivo G, Comeglio M, Boddi V, Banchelli M, Galanti G, Gensini GF: Prognostic value of 6-minute walk corridor test in patients with mild to moderate heart failure: comparison with other methods of functional evaluation. Eur J Heart Fail. 2003, 5: 247-252. 10.1016/S1388-9842(02)00244-1.

    Article  PubMed  Google Scholar 

  22. Arena R, Myers J, Aslam SS, Varughese EB, Peberdy MA: Influence of subject effort on the prognostic value of peak VO2 and the VE/VCO2 slope in patients with heart failure. J Cardiopulm Rehabil. 2004, 24 (5): 317-20. 10.1097/00008483-200409000-00006.

    Article  PubMed  Google Scholar 

  23. Anker SD, Coats AJ: Peak VO2 for prognosis in heart failure?. J Am Coll Cardiol. 1999, 33 (2): 591-2.

    Article  CAS  PubMed  Google Scholar 

  24. Astrand PO, Ryhming A: Nomogram for calculation of aerobic capacity (physical fitness) from pulse rate during submaximal work. J Appl Physiol. 1954, 7: 218.

    CAS  PubMed  Google Scholar 

  25. Rerup CC: Drugs producing diabetes through damage of the insulin secreting cells. Pharmacol Ver. 1970, 22 (4): 485-518.

    CAS  Google Scholar 

  26. Astrand I: Aerobic work capacity in men and women with special reference to age. Acta Physiol Scand Suppl. 1960, 49 (169): 1-92.

    CAS  PubMed  Google Scholar 

  27. Balke B, Ware RW: An experimental study of physical fitness of Air Force personnel. U S Armed Forces Med J. 1959, 10 (6): 875-88.

    Google Scholar 

  28. Vivacqua R, Hespanha R: Introduction, History, Perspectives. Ergometry Rehabilitation in Cardiology. 1992, Rio de Janeiro: Med, 2: 1-6.

    Google Scholar 

  29. Maldonado-Martin S, Brubaker PH, Kamisky LA, Moore JB, Stewart KP, Kitzman DW: The relationship of a 6-min walk to VO2 (peak) and VT in older heart failure patients. Med Sci Sports Exerc. 2006, 38 (6): 1047-53. 10.1249/01.mss.0000222830.41735.14.

    Article  PubMed  Google Scholar 

  30. Armstrong LE, Brubaker PH, Otto RM: ACSM's Guidelines for Exercise Testing and Prescription. In American College ofSports Medicine. 1999, Baltimore:LippincottWilliams & Wilkins, 237-50. 2

    Google Scholar 

  31. Wisløff U, Helgerud J, Johan Kemi O, Ellingsen O: Intensity-controlled treadmill running in rats: VO2 max andcardiac hypertrophy. Am J Physiol (Heart Circ Physiol). 2001, 280: 1301-1310.

    Google Scholar 

  32. Kindig CA, Sexton WL, Fedde MR, Poole DC: Skeletal muscle microcirculatory structure and hemodynamics in diabetes. Respir Physiol. 1998, 111 (2): 163-75. 10.1016/S0034-5687(97)00122-9.

    Article  CAS  PubMed  Google Scholar 

  33. De Angelis KL, Cestari IA, Barp J, Dall'Ago P, Fernandes TG, de Bittencourt PI, Bello-Klein A, Bello AA, Llesuy S, Irigoyen MC: Oxidative stress in the latissimus dorsi muscle of diabetic rats. Braz J Med Biol Res. 2000, 33 (11): 1363-8. 10.1590/S0100-879X2000001100016.

    Article  CAS  PubMed  Google Scholar 

  34. Gleeson TT, Baldwin KM: Cardiovascular Response to Treadmill Exercise in Untrained Rats. J Appl Physiol Respirat Environ Exercise Physiol. 1981, 50 (6): 1206-1211.

    CAS  Google Scholar 

  35. Musch TI, Bruno A, Bradford GE, Vayonis A, Moore RL: Measurements of metabolic rate in rats: a comparison of techniques. J Appl Physiol. 1988, 65 (2): 964-70.

    CAS  PubMed  Google Scholar 

  36. Bedford TG, Tipton CM, Wilson NC, Oppliger RA, Gisolfi CV: Maximum oxygen consumption of rats and its changes with various experimental procedures. J Appl Physiol. 1979, 47 (6): 1278-83.

    CAS  PubMed  Google Scholar 

  37. Noakes TD, Myburgh KH, Schall R: Peak treadmill running velocity during theVO2 max test predicts running performance. J Sports Sci. 1990, 8 (1): 35-45.

    Article  CAS  PubMed  Google Scholar 

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This study was supported by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Fundação de Amparo a Pesquisa do Estado de São Paulo (FAPESP 05/60829-2, 06/53739-0), Conselho Nacional de Pesquisa (CNPq 477226/2004-3) and the Zerbini Foundation. We thank Cláudia Borim and Natale Rolim for their helpful input in data acquisition, statistical analysis and discussion of results.

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Authors' contributions

The authors BR, DMF, CTM and MVH carried out the exercise test, maximal oxygen consumption data acquisition, performed the statistical analyses and discussion of results. BR, MCI and KDA participated in the study design and alignment, discussion of results, statistical analyses, and drafted the manuscript. MCI and KDA conceived the study, and participated in its design and coordination. All authors read and approved the final manuscript.

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Rodrigues, B., Figueroa, D.M., Mostarda, C.T. et al. Maximal exercise test is a useful method for physical capacity and oxygen consumption determination in streptozotocin-diabetic rats. Cardiovasc Diabetol 6, 38 (2007).

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