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,2
* Australian Institute of Tropical Veterinary and Animal Science and
and
Department of Physiology and Pharmacology, School of Biomedical Sciences, James Cook University, Townsville 4811, Australia
2 Correspondence:
E-mail:
lee.fitzpatrick{at}jcu.edu.au.
| Abstract |
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Key Words: Acid Base Equilibrium Bos indicus Cattle Electrolytes Transport
| Introduction |
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The use of electrolyte solutions for minimizing the effects of stressors on animals in the marketing process has been advocated in the sheep and beef industries without a full understanding of the effects of transport stress on the acid-base physiology of ruminants (Schaefer, 1997). Studies have shown transportation stress to have no effect on the pH of the bovine animals blood (Schaefer et al., 1988; 1992); however, there have been small but significant changes in some electrolytes that make up the strong ion group. Since the strong ion group plays an important role in regulating plasma pH, the changes seen in the plasma electrolyte status of transported animals must be minimal or are compensated by another system to maintain pH within normal values. This study was undertaken to assess the compensatory mechanisms involved in the maintenance of acid-base balance inBos indicus steers subjected to transportation of long duration.
| Materials and Methods |
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The mean daily temperature-humidity indices during the experimental period for d 0, 1, and 2 were 74, 74, and 73, respectively. The control and water- and feed-deprived groups were housed in outdoor pens with minimal shade.
All experimental procedures were reviewed and approved by the animal ethics committee at James Cook University (approval No. A730-02).
Sample Collection
After 48 h of transportation, 22.5 mL of blood was manually collected by jugular venipuncture from all groups; 20 mL was collected into 2 x 10-mL tubes containing lithium heparin (Disposable Products Pty Ltd., Adelaide, SA, Australia) and a 1 x 2.5-mL tube containing fluoride oxalate (Sarstedt Australia, Technology Park, SA, Australia). The samples containing fluoride oxalate were used for the analysis of plasma lactate, and the tubes containing lithium heparin were used for all other analyses. Blood samples were immediately placed into an ice water slurry, centrifuged at 200 x g for 15 min, and plasma was poured off within 2 h and frozen (-20°C) for analysis at a later date.
A 22-gauge (0.9 x 25 mm) intraarterial catheter (Optiva, Johnson & Johnson Int., Belgium) was used with a 2-mL blood gas syringe containing lithium heparin (Sarstedt Australia, Technology Park, SA, Australia) to sample arterial blood gases. Arterial blood samples for blood gas analysis were obtained from the caudal auricular artery (Riley and Thompson, 1978). Blood gas syringes were capped and placed into an ice-water slurry for immediate analysis of blood gases. All blood gas assays were performed within 0.5 h of collection.
Measurement
Arterial blood pH, partial pressure of carbon dioxide (pCO2) and bicarbonate (HCO3-) were measured using a blood gas analyzer (Ciba Corning model 278, Bayer Diagnostics, Bisbane, Australia). Plasma concentrations of Na and K were measured using ion-selective electrodes (Lablyte System 830, Beckman Instruments Inc, Brea, CA). Sodium and K samples were completed on singular samples and quality control samples (Liquichek controls; 16171 and 16172, Bio-Rad Laboratories, Regents Park, NSW, Australia) were performed every 10 samples. Lactate, P, albumin, total protein, Ca, and Cl concentrations in plasma were measured using a Mira Autoanalyzer (Roche Diagnostics, Brisbane, Australia) with standard enzymatic and spectrophotometric kits (lactate, Roche Diagnostics, Australia; P, TR30025; albumin, TR36025; total protein, TR34025; Ca, TR29248; and Cl, TR38025, Trace Scientific Ltd., Noble Park, Australia).
Anion gap (AG) (Polancic, 2000) was obtained from the equation:
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whereas strong ion difference (SID) (Stewart, 1983) was obtained from the following equation:
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Total weak acids (Atotal) were calculated from the equation by Figge et al., (1992):
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Statistical Analysis
Least squares means and standard errors are presented. Data were analyzed by one-way ANOVA with treatment as the sole source of variation in the model. The ANOVA was conducted with SPSS 10 software package (SPSS, Chicago, IL). Multiple comparison tests were undertaken using Tukeys honestly significant difference test, where the level of significance was set at P < 0.05.
| Results and Discussion |
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This approach to acid-base analysis has offered an excellent qualitative framework for clinical interpretation of acid-base disorders in a number of species (Weinstein et al., 1991; Pieschl et al., 1992; Frischmeyer and Moon, 1994). It offers researchers and clinicians the ability to identify the mechanisms involved in changing acid-base status, thereby focusing an appropriate treatment on the inciting cause (Constable, 2002).
Blood gases, plasma electrolytes, and metabolites are presented in Table 1
. There was no difference in the pH of arterial blood in the treatment groups, confirming other data (albeit on venous blood) that transportation stress causes no difference in the acid-base status of transported vs. nontransported ruminants (Schaefer et al., 1988; 1992). Arterial pH values recorded in all treatment groups in the present study were similar to those reported by Mirakhur et al. (1985) in normal Bos indicus cattle (7.47 ± 0.04) and also by Fisher et al. (1980) for Bos taurus cattle (7.43 ± 0.03).
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There were no differences in HCO3- concentrations in the treatment groups, and all groups remained within normal limits for cattle (20 to 30mmol/L) (Blood and Radostits, 1989). Schaefer et al. (1988; 1990) demonstrated a decrease in pCO2, and subsequently in HCO3- concentrations in the venous blood of cattle exposed to the marketing process and feed and water deprivation, respectively. Total protein or albumin concentrations were not reported in these studies; however, animals were withheld from water and feed for up to 72 h, and Schaefer et al. (1990) recorded increases in hematocrit, hemoglobin, and red blood cells, indicating a state of dehydration. Thus, the changes seen post-treatment by Schaefer et al. (1988; 1990) are more likely the result of a respiratory and/or metabolic compensation for a mild metabolic acidosis secondary to water loss.
As a consequence of dehydration, the biosynthesis of the L-isomer of lactic acid from anerobic glycolytic metabolism by skeletal muscle may be increased (Nappert and Johnson, 2001). There was no difference between treatment groups for plasma lactate concentrations. Transportation or water and feed deprivation in the present study failed to elevate lactate concentrations to those demonstrated by Mitchell et al. (1988) or Schaefer et al. (1988). Mitchell et al. (1988), working with Bos indicus x Bos taurus steers and heifers, demonstrated a difference for lactate values between handling (3.1 ± 1.8 mmol/L), transport for 2 h (4.0 ± 2.2 mmol/L), and animals that had not been handled or transported (0.3 ± 0.2 mmol/L). Schaefer et al. (1988), who transported Bos taurus steers and heifers for 6 h, obtained plasma lactate levels of 5.53 mmol/L prior to the stress of transportation, and 6.50 mmol/L at slaughter.
The collection of blood for lactate analysis, during the studies of Schaefer et al. (1988) was not recorded as using an antiglycolytic agent in the collection tubes. As such, the lactate data reported by Schaefer et al. (1988), especially the pretransport values, may be artefactually elevated due to this preanalytical error. Anaerobic glycolysis may have occurred within blood samples if tubes containing Li heparin were used by Schaefer et al. (1988) (Polancic, 2000).
The difference seen between studies for lactate concentrations may be due to time in transit. Tarrant (1990) indicated that 24 h of transportation fatigued steers enough to induce resting behaviors in transit. Although we cannot confirm that all transported animals rested in transit in our study, resting may have been sufficient to decrease lactate concentration in the transported steers compared with that expressed in the other groups housed in pens. Tarrant (1990) further stated that during short transit times, cattle tend not to lie down in trucks while they are moving. The constant standing and bracing during short haul transit may elevate lactate concentrations in cattle during these journeys. This is consistent with other reports that indicate that the major effects of transport stress take place during the early portions of transport (Cole et al., 1988).
Mitchell et al. (1988) noted that the animals used in their study were unaccustomed to being handled. By contrast, the animals used in the present study had been extensively handled by experienced stockmen. The lactate concentrations reported here may also reflect the beneficial effects of a sound management program in minimizing lactate accumulation in cattle subjected to transportation of long duration.
In agreement with the work of Galyean et al. (1981), plasma Na was not influenced by treatment and remained within normal values for cattle (Blood and Radostits, 1989). Transported animals had lower concentrations of plasma K compared with the control animals (P = 0.026). It is well recognized that stressor-induced activation of the hypothalamo-pituitary-adrenal axis stimulates the secretion of cortisol, resulting in the excretion of K (Parker et al., 2003). The hypokalemia associated with the transported group may also be the result of a lack of feed intake; however, this was not replicated by the water- and feed-deprived group.
Plasma concentrations of Ca, Cl, and P did not differ between groups. However, there was a trend (P = 0.07) for plasma concentrations of P to be higher in the water- and feed-deprived group than in the control group. Galyean et al. (1981) reported plasma P concentrations to be higher in fasted vs. transported animals at 32 h; however, the changes, as in the present study, were small and within physiological limits.
The AG is a diagnostic concept that demonstrates the difference between unmeasured anions and unmeasured cations (Guyton and Hall, 2001). Usually, the unmeasured anions exceed the unmeasured cations, with the AG for cattle ranging between 14 to 26 mEq/L (Blood and Radostits, 1989). Strong ions move between body fluids through membranes, and the resulting changes in SID values provide the major mechanism for acid-base interactions between fluids (Stewart, 1983). Despite the small but significant changes in the K concentration of plasma in the transported animals, there were no differences between groups for the AG or SID calculations. This would suggest that electrolyte solutions fed to these steers post-transport would provide little benefit in correcting their acid-base balance compared to water alone. In support of this suggestion, AG did not differ significantly between low- and moderate-stress groups of cattle offered water when compared with moderately stressed cattle offered only an electrolyte solution (Schaefer et al., 1994).
The application of electrolyte solutions to minimize transport stress in cattle has been extensively investigated (Schaefer et al., 1988; Gortel et al., 1992; Phillips, 1997). There is a trend in the literature for increases in the extracellular fluid, carcass weight, and body weight of cattle when electrolyte solutions are fed vs. when no fluids offered post-transport. The effects of the electrolyte solutions fed in these studies were to replenish lost total body water in the animals involved (Schaefer et al., 1992; 1997; Gortel et al., 1992). Similarly, the same effects can be seen when cattle are offered water post-transport (Wythes et al., 1980; 1983). A comparative study by Gortel et al. (1992) using an electrolyte solution and water as treatments, demonstrated no difference (P < 0.05) in carcass yield as a proportion of farm weight, rumen weights, extracellular fluid volume, plasma volume, hematocrit, serum Na, K, glucose or ß-hydroxybutyric acid between the water- and electrolyte-fed groups. Lower values for plasma osmolality, serum Cl, and serum lactate were found between the water and electrolyte groups, respectively. This was a reflection of the amount of fluid consumed post-transport between the treatments. There was a difference recorded for hot carcass weight as a proportion of the preslaughter weight between the electrolyte- and water-treated groups; however, this difference could be attributed to the higher intake of fluid by the water group, causing the animals to be heavier at slaughter than the electrolyte group. Subsequently, the carcass yield as a proportion of the preslaughter weight would be lower for the group offered water if carcass weights were similar. Unfortunately, carcass weights were not reported in that study.
Plasma total protein, albumin, and Atotal concentrations were higher for the transported (P = 0.001, P = 0.03, P = 0.01) and water- and feed-deprived (P = 0.001, P = 0.003, P = 0.001) groups, respectively, than for the control group. Transport stress has been observed to cause dehydration and may manifest itself as a hyperproteinemia (Atkinson, 1992; Schaefer et al., 1997). Serum proteins, especially albumin, act as weak acids in plasma. The role of proteins in acid-base balance has practical importance: hypoproteinemia and hyperproteinemia by themselves cause metabolic alkalosis and acidosis, respectively (Figge et al., 1991; 1992). Hemoconcentration secondary to dehydration elevates total protein and is a contributing factor toward metabolic acidosis (Walmsley et al., 1988; Figge et al., 1991; 1992; Nappert and Johnson, 2001).
Transportation and water and feed deprivation resulted in an increase in Atotal compared with control animals due to an elevation in albumin concentration. The changes seen in plasma albumin, and hence total protein concentrations, in the water- and feed-deprived and transported groups are likely to be due to hemoconcentration secondary to water loss. The increase in albumin, and hence total protein and Atotal, would contribute to a mild metabolic acidosis. The resulting hypovolemia and low tissue perfusion may also cause a limited supply of oxygen to tissues and a decrease in H excretion by the kidneys (Nappert and Johnson, 2001).
It would appear in the present study that the water- and feed-deprived group incurred a greater deviation from the control group in some of the parameters measured compared with the transported group, in spite of the winter temperature-humidity index for the region being mild for tropically adapted cattle. This may imply that the tractable genotype used in this study found feed and water deprivation to be a greater challenge to acid-base homeostasis than transportation itself. Further to this, the increased airflow created by transportation may have had a cooling effect on the animals, thereby decreasing the amount of water loss and, in turn, the degree to which the animals compensatory acid-base mechanisms were employed.
| Implications |
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| Footnotes |
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Received for publication November 2, 2002. Accepted for publication February 18, 2003.
| Literature Cited |
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