The effect of aerobic exercise on intraocular pressure.

The present study was planned to investigate the effect of the intensity of exercise on intraocular pressure (IOP), systolic and diastolic blood pressure, glycaemia and blood lactate concentration in regularly trained Italian saddle jumper horses. On the first day five female horses performed 1 h of walking on an electronically controlled horse-walker at 100 m/min; on the second day 1 h session consisted of 5 min of walk, 30 min of trot, 20 min of gallop and one exercise of a 300 m long trail with eight jumps 90 cm high to be run in 1 min. The studied indicators were collected at rest, immediately after the exercise and 30 min after the exercise. Analysis of variance (ANOVA) showed a significant effect of different workloads on blood lactate concentration, systolic and diastolic blood pressure. No significant difference was found in IOP reduction when comparing aerobic and moderate anaerobic exercise. Our results confirm that the lack of a significant change in IOP in the athletic horse after mild exercise is in accordance with the human athlete. The cardiovascular and haematological changes induced by aerobic and moderate anaerobic exercise had no significant effect on IOP, either. Different workloads, blood pressure, glycaemia, lactate In recent years, it has been noted that intraocular pressure (IOP) is a dynamic value and is influenced by many factors affecting both acutely and in the long term (Qureshi et al. 1996a). Several studies have shown that IOP varies with age, sex, diurnality and season (Martin 1992; Wilensky et al. 1993; Qureshi et al. 1996b). The effects of physical exercise on IOP have received some attention in humans since the beginning of the 20th century but definite conclusions concerning IOP changes due to exercise are not known (Moura et al. 2002). In fact, the existing literature is controversial regarding the relationship between physical fitness and IOP (Dane et al. 2006). Several studies have shown that IOP decreases in response to exercise (Kielar et al. 1975; Marcus et al. 1970a; Stewart et al. 1970; Shapiro et al. 1978). Some of them (Lempter et al. 1967; Kielar et al. 1975) have reported that this effect is inversely proportional to the work load, while others (Leighton and Phi l ips 1970) have reported that the IOP reduction is directly related to the exercise load, even though the exercise intensities have not been standardized to the individuals. In fact, in humans the IOP decreases after a light fitness exercise and increases during a maximum effort (Avunduk et al. 1999; Qureshi et al. 1997; Dickerman et al. 1999; 2000). Other studies have shown that IOP in acute, dynamic exercise is in proportion to the relative intensity but not to the duration of the exercise (Kiuchi et al. 1994; Harr is et al. 1994); yet others found either no effect on IOP or variable results (Era et al. 1993). The degree of ocular hypotensive response may vary from study to study as a result of different experimental methods, pre-study physical condition, baseline IOP, timing of pressure measurement, and diurnal variation. Numerous systemic physiological changes that occur during exercise were proposed ACTA VET. BRNO 2010, 79: 409-413; doi:10.2754/avb201079030409 Address for correspondence: Prof. Giuseppe Piccione Dipartimento di Scienze Sperimentali e Biotecnologie Applicate Laboratorio di Cronofisiologia Veterinaria, Facoltà di Medicina Veterinaria Università di Messina, Polo Universitario dell’Annunziata, 98168 Messina, Italy Phone: +390903503584 Fax: +390903503975 E-mail: [email protected] http://www.vfu.cz/acta-vet/actavet.htm as possible mechanisms for the ocular hypotensive response to exercise, although it is tempting to associate decreased IOP with intraand post-exercise systemic haemodynamic factors, such as heart rate or elevated diastolic or systolic blood pressure (Ashkenazi et al. 1992). Some studies attempted to associate the ocular hypotensive response to exercise with increased plasma osmolarity, increased blood lactate level, and decreased pH level, although no significant difference was found between the IOP after aerobic exercise compared to anaerobic exercise (Kei lar et al. 1975; Marcus et al. 1970a,b). We conducted a prospective study to evaluate IOP response to two different workloads. An attempt was made to correlate determinants of aerobic exercise, such as glycaemia and blood lactate concentration with changes in IOP. Materials and Methods Five Italian saddle jumper horses from the same Horse Training Centre were used (Table 1). Before the start of the study, all horses underwent a heart exam, respiratory auscultation and routine haematology and plasma biochemistry at rest. Only clinically healthy animals were used. Horses were traditionally fed three times a day (08:00, 12:00 and 20:00 h) with hay and a mix of cereals (oats and barley, 50% each, about 3.5 kg/horse/day), and water ad libitum. All horses were trained appropriately from 15:00 to 16:00 h for six days a week. The training program consisted of 1 h of walking in a horse-walker (Tecno exerciser, Pessa Studio, Italy) at 100 m/min, electronically controlled in the morning of the first day; and of 1 h session of 5 min of walk, 30 min of trot, 20 min of gallop; 1 exercise consisted of a 300 m long trail with eight jumps 90 cm high (4 vertical jumps, 3 long jumps, and one double vertical and long jump), to be run in 1 min and few minutes of walk on a sand track in the morning of the second day. Samples were collected at rest, immediately after the exercise and 30 min after the exercise in both the experimental conditions. Blood samples were collected by means of jugular puncture with a heparinized vacutainer (Terumo Corporation, Japan) for determination of glycaemia and lactate concentration by commercially available meters (Glucotrend 2®, Roche Diagnostics, Basel, Switzerland and Accusport®, Boehringer, Mannheim, Germany, respectively). Diastolic and systolic blood pressure were determined with an oscillometric apparatus (Argus TM-7, Schiller, Baar, Switzerland), using a cuff positioned at the base of the tail, previously shaved; its accuracy was within 1 mm Hg. IOP values were recorded for both eyes of each animal. The first eye to be tested was randomly chosen and recorded. Oxibuprocaine chlorohydrate (Novesina 0.4%, Novartis) was instilled into the eye a few seconds before being tested, and IOP was measured using a Tono-Pen Applanation Tonometer (Tono-Pen XL, Mentor Ophthalmic, USA) by the same person. The Tono-Pen tonometer had been recently calibrated by its manufacturer and was used and maintained in accordance with manufacturer ́s recommendations. It was gently placed on the cornea, and a Sanitized Ocu-Film tip cover was used to minimize the risk of cross contamination. Three measurements were obtained at each pressure, and mean values were calculated. Measurements were repeated until the instrument percentage error was < 5%. Since the intragroup variance was not significant, the statistical analysis of data was carried out on mean values of the studied indicators. The data were analyzed using the software STATISTICA 7 (StatSoft Inc.). Two-way repeated measurement of ANOVA (analysis of variance) was used to determine the influence of the experimental condition and different workloads on the indicators studied. Where ANOVA showed an acceptable level of significance (P < 0.05), Bonferroni’s test was applied for post hoc comparison. Student’s t-test was applied to evaluate significant differences between the two eyes. All results were expressed as means ± standard deviation (SD). All work presented here complies with current regulations covering animal experimentation in Italy. 410 Table 1. Saddle jumper horse characteristics, IOP (intraocular pressure mean values between left and right eye), HR (heart rate) and BL (blood lactate) at rest, before the start of the study Horse Breed Age (years) Sex Weight (kg) IOP (mmHg) HR (bpin) BL (mmol/l) 01 Italian saddle 9 Female 480 19.96 44 1.34 02 Italian saddle 10 Female 450 18.22 30 1.20 03 Italian saddle 8 Female 500 19.40 35 1.35 04 Italian saddle 11 Female 530 18.36 27 1.50 05 Italian saddle 10 Female 450 19.46 40 1.35 Mean ± SD 9.6 ± 1.1 482 ± 34.20 19.08 ± 0.75 35.20 ± 6.97 1.35 ± 0.10