Available online at www.sciencedirect.com Domestic Animal Endocrinology 38 (2010) 86–94 Metabolic adaptations to heat stress in growing cattle M.D. O’Brien, R.P. Rhoads, S.R. Sanders, G.C. Duff, L.H. Baumgard ∗,1 Department of Animal Sciences, The University of Arizona, Tucson 85721 Received 1 June 2009; received in revised form 4 August 2009; accepted 14 August 2009 Abstract To differentiate between the effects of heat stress (HS) and decreased dry matter intake (DMI) on physiological and metabolic variables in growing beef cattle, we conducted an experiment in which a thermoneutral (TN) control group (n = 6) was pair fed (PF) to match nutrient intake with heat-stressed Holstein bull calves (n = 6). Bulls (4 to 5 mo old, 135 kg body weight [BW]) housed in climate-controlled chambers were subjected to 2 experimental periods (P): (1) TN (18 ◦ C to 20 ◦ C) and ad libitum intake for 9 d, and (2) HS (cyclical daily temperatures ranging from 29.4 ◦ C to 40.0 ◦ C) and ad libitum intake or PF (in TN conditions) for 9 d. During each period, blood was collected daily and all calves were subjected to an intravenous insulin tolerance test (ITT) on day 7 and a glucose tolerance test (GTT) on day 8. Heat stress reduced (12%) DMI and by design, PF calves had similar nutrient intake reductions. During P1, BW gain was similar between environments and averaged 1.25 kg/d, and both HS and PF reduced (P < 0.01) average daily gain (-0.09 kg/d) during P2. Compared to PF, HS decreased (P < 0.05) basal circulating glucose concentrations (7%) and tended (P < 0.07) to increase (30%) plasma insulin concentrations, but neither HS nor PF altered plasma nonesterified fatty acid concentrations. Although there were no treatment differences in P2, both HS and PF increased (P < 0.05) plasma urea nitrogen concentrations (75%) compared with P1. In contrast to P1, both HS and PF had increased (16%) glucose disposal, but compared with PF, HS calves had a greater (67%; P < 0.05) insulin response to the GTT. Neither period nor environment acutely affected insulin action, but during P2, calves in both environments tended (P = 0.11) to have a blunted overall glucose response to the ITT. Independent of reduced nutrient intake, HS alters post-absorptive carbohydrate (basal and stimulated) metabolism, characterized primarily by increased basal insulin concentrations and insulin response to a GTT. However, HS-induced reduction in feed intake appears to fully explain decreased average daily gain in Holstein bull calves. Published by Elsevier Inc. Keywords: Heat stress; Metabolism; Insulin; Glucose 1. Introduction Environmentally induced hyperthermia decreases efficiency and production, detrimentally affects reproduction, and can compromise end-product quality in agriculturally important animals. One of the first noticeable production signs of heat stress (HS) is reduced ∗ Corresponding author. Iowa State University, Department of Animal Science, Ames, IA 50011. Tel.: +1 515 294 3615. E-mail address: [email protected] (L.H. Baumgard). 1 L.H. Baumgard is now affiliated with the Department of Animal Science, Iowa State University, Ames, IA. 0739-7240/$ – see front matter. Published by Elsevier Inc. doi:10.1016/j.domaniend.2009.08.005 nutrient intake, which is presumably an evolutionary strategy to reduce the “heat increment” of feeding. The dystrophia is thought to be responsible for reduced production in growing cattle [1] and lactating cows [2]. However, most traditional thermal stress experiments have not controlled for reduced intake, which makes it difficult to distinguish between the direct and indirect (ie, mediated by reduced feed intake) effects of environmentally induced hyperthermia. Recently, using a pair-feeding thermoneutral (TN) model, we have demonstrated that reduced nutrient intake accounts for about 35% to 50% of the decrease in milk synthesis from heatstressed cows, and the remaining portion is a direct result M.D. O’Brien et al. / Domestic Animal Endocrinology 38 (2010) 86–94 of heat [3,4], but the mechanism(s) by which a thermal load Zreduces body weight gain in growing ruminants have not been established. In lactating ruminants, HS induces a variety of postabsorptive metabolic adaptations that would not be predicted based on their reduced nutrient intake and calculated energy balance. For example, despite reduced feed intake and body weight loss, heat-stressed cows have increased basal and stimulated insulin concentrations and increased glucose clearance in response to a glucose tolerance test (GTT) [4]. Furthermore, heat-stressed cows do not mobilize adipose tissue, even though they are in a negative energetic state and markedly losing body weight [3,5], likely the outcome of insulin’s potent antilipolytic action. Consequently, the lactating heat-stressed cow fails to enlist glucosesparing mechanisms in the face of reduced feed intake, and therefore production decreases substantially more than would be expected from the inadequate nutrient status [3,4]. It is currently unknown how much (or if) reduced feed intake explains decreased body weight gain in thermally stressed growing cattle. In addition, the effects of HS (without the confounding effects of dissimilar feed intake) on post-absorptive metabolism and nutrient partitioning in a ruminant growth model have not been thoroughly evaluated. Study objectives were to evaluate the effects of thermal stress on production variables and post-absorptive energetics in growing Holstein calves. 2. Materials and methods 2.1. Animals and research design Study protocol and procedures involving animals were approved and conducted in accordance with the University of Arizona Institutional Animal Care and Use Committee. Growing male beef cattle (4-5 mo old, n = 12) were assigned to individual tie stalls based on body weight (BW) (135 ± 13 kg [BW]) in one of 2 environmental chambers in the University of Arizona’s William J. Parker Agriculture Research Complex. Throughout the experiment, calves were fed an 86% concentrate diet composed primarily of steam-flaked corn and alfalfa hay (Table 1), formulated to meet or exceed National Research Council recommendations [6], at 6:00 AM and 5:00 PM daily, and orts were recorded daily prior to the morning feeding. After adjusting to the environmental chambers (9 d), calves in both treatment groups were exposed to constant TN conditions (20 ◦ C, 20% humidity, with a 13 h/11 h 87 Table 1 Ingredients (DM basis) and chemical composition of diets fed to growing Holstein beef bulls. Ingredient (% of DMI) Steam-flaked corn Alfalfa Soybean meal Molasses Mineral premixa 61.6 28.3 1.9 6.3 1.9 Chemical analysis Diet DM % CP, % DM ADF, % DM NDF, % DM Crude fat, % DM TDN, % DM 88.8 11.2 13.5 20.1 4.8 74.8 Abbreviations: ADF, acid detergent fiber; CP, crude protein; DM, dry matter; NDF, neutral detergent fiber; TDN, total digestible nutrients. a Mineral pre-mix composition: limestone, 46.03%; dicalcium phosphate, 1.05%; potassium chloride, 7.81%; magnesium oxide, 3.44%; ammonium sulfate, 6.52%; salt, 11.75%; cobalt carbonate, 0.0017%; copper sulfate, 0.1534%; iron sulfate, 0.1328%; calcium iodate, 0.0031%; manganese sulfate, 0.4881%; selenium premix, 0.1220%; zinc sulfate, 0.8334%; vitamin A (30,000 IU/g), 0.2739%; vitamin E (500 IU/g), 0.5435%; Rumensin-80, 0.7063%; ground corn, 20.15%. light/dark cycle) and fed ad libitum for 9 d (experimental period [P] 1). During P2, the heat-stressed (HS; group 2) calves were exposed to a cyclic HS environment (29.4 ◦ C to 40.0 ◦ C, 20% humidity) for 9 d, and group 1 calves remained in TN conditions, but they were pair fed (PF) so that nutrient intake mirrored that of HS cattle. During P2, each HS calf’s reduced feed intake was calculated daily on the percentage decrease from the average dry matter intake (DMI) during P1, and the amount offered to the PF TN calves was reduced by that amount. This experimental approach was adapted to eliminate confounding effects of dissimilar planes of nutrition. During each period, daily heat parameters were obtained from all animals at 7:00 AM, 12:00 PM, 4:00 PM, and 6:00 PM. Heat parameters included rectal temperature (RT; GLA M700 Digital Thermometer, San Luis Obispo, CA), respiration rate (RR), heart rate (HR), and sweating rate (SR; VapoMeter, Delfin Technologies Ltd., Kuopio, Finland), as previously described [5]. Body weights were recorded daily prior to the AM feeding. Feed intake and water intake were recorded daily, and jugular catheters were inserted into all animals 1 d prior to P1 and maintained for the duration of the trial. 2.2. Metabolic tests Insulin tolerance tests (ITT; 3.0 g/kg BW) were conducted on day 7 of each period at 1:00 PM, as previ- 88 M.D. O’Brien et al. / Domestic Animal Endocrinology 38 (2010) 86–94 ously described [7]. Bovine insulin (Sigma Chemical, St. Louis, MO) was initially dissolved to 1 mg/mL in 0.1 M HCl, then diluted in sterile saline and kept at -80 ◦ C until the challenges. The insulin solution was administered via a jugular catheter and immediately flushed with 10 mL of sterile saline (0.15 M NaCl). Blood sampling occurred at -30, -20, -10, 0, 2.5, 5, 7.5, 10, 15, 20, 30, 45, 60, 90, and 120 min relative to insulin administration. A glucose tolerance test (GTT; 0.3 g/kg BW) was conducted on day 8 of each period at 1:00 PM, as previously described [4]. Glucose (50% dextrose; AgriLabs, St. Joseph, MO) was infused as a 50% solution in sterile saline and flushed with 10 mL of pure sterile saline. Blood samples were collected at -30,-20, -10, 0, 5, 7.5, 10, 15, 20, 30, 45, 60, and 90 min relative to glucose infusion. 2.3. Plasma assays Plasma glucose, insulin, plasma urea nitrogen (PUN), and nonesterified fatty acid (NEFA) concentrations were determined enzymatically using commercially available kits validated for use in our laboratory (Autokit Glucose C2, Wako Chemicals USA, Richmond, VA; bovine insulin EIA, Alpco Diagnostics, Salem, NH; PUN assay kit, Advanced Bio-screen, Fullerton, CA; NEFA-HR(2) assay kit, Wako Chemicals USA, Richmond, VA). These procedures were conducted in 96-well microplates (Rainin Instrument, LLC; Oakland, CA) and read using a microplate photometer (Multiskan Ascent; Thermo Electron Corporation, Vantaa, Finland). The inter- and intra-assay coefficients for plasma glucose, insulin, PUN, and NEFA assays were 3.1%, 4.4%; 4.7%, 5.3%; 5.0%, 6.2%; and 5.5%, 5.9%, respectively. 2.4. Calculations and statistical analysis Blood metabolite responses to the ITT and GTT were calculated as area under the curve (AUC). The ITT AUC was calculated as a linear trapezoidal summation between successive pairs of glucose concentrations and time coordinates after correcting for the mean baseline concentrations, as previously described [7]. Baseline glucose concentrations were defined as a mean of the 3 samples prior to insulin administration. Plasma glucose concentrations reached nadir 30 to 50 min after insulin injection. To minimize the contribution of clearance and counter-regulatory effects, the response area of plasma glucose to insulin administration was calculated over 5 to 120 min of the insulin challenge. The rate of glucose clearance in response to insulin was determined using glucose concentrations over the initial declining phase of the response (2.5 to 30 min post-challenge). This result was expressed as the fractional rate of clearance (FROC) and was determined from the slope of the natural logarithm of glucose concentration plotted vs time [7]. As a result of the GTT, plasma glucose concentrations increased in a similar temporal pattern and peaked at 5 min post-glucose infusion. Again, to minimize the contribution of clearance and counter-regulatory effects, the glucose AUC was calculated for the entire challenge (0 to 90 min). Furthermore, the slope of glucose disposal (SOGD) was calculated from 5 to 60 min post-glucose infusion. All data were statistically analyzed using the PROC MIXED procedure of SAS, version 9.1 (SAS Institute, Inc., Cary, NC; 2005). Analysis was conducted to test differences between environments and periods, and the model included group, period, and group × period interaction. Period 2 data were also tested against each other (HS [group 2] vs PF [group 1]) using the P1 value as a covariate. For daily measurements (DMI, average daily gain [ADG], metabolites, rectal temperature, etc.), each animal’s respective parameter was analyzed using repeated measures with an autoregressive covariance structure and day (1 to 9) as the repeated effect. The model contained covariate, environment, time (day, if a repeated measure), and an environment × time interaction (if a repeated measure). Data are reported as least square means and were considered significant if P < 0.05 and interpreted as a trend if P < 0.10. 3. Results Compared to the PF calves (group 1) in TN conditions, animals in the cyclical HS climate (group 2) had marked (P < 0.01) increases in body temperature variables at 7:00 AM, 12:00 PM, 4:00 PM, and 6:00 PM (Table 2). At 4:00 PM, HS calves had a 1.15 ◦ C increase in RT, and >2.5-fold increase in RR. Climatic conditions had no effect on heart rate at any time point (Table 2). Heat stress reduced (P < 0.01) DMI by approximately 12%, and by design, PF calves in TN conditions had a similar decrease in nutrient intake (Table 3). Although not different from each other, both HS and PF calves had reduced (P < 0.01) ADG compared to that of P1 (1.24 vs -0.09 kg/d; Table 3). Gain-to-feed ratio (G:F) was similar between groups, but it was reduced (P < 0.01) in P2 compared to P1 (0.30 vs -0.03). During P2, HS calves had increased (P < 0.05) water intake (5.56 vs 2.71 L/d) compared to PF controls. Calves in the HS climate had reduced (7%; P < 0.04; Table 4) circulating glucose concentrations compared to M.D. O’Brien et al. / Domestic Animal Endocrinology 38 (2010) 86–94 89 Table 2 Effects of heat stress and pair feeding on heat stress variables in growing Holstein bull calves. Period 2† Period 1* Parameter Group 1 (TN) Group 2 (TN) Group 1 (PF) Rectal temperature (◦ C) 7:00 AM 38.81a 12:00 PM 38.88a 4:00 PM 38.95a 6:00 PM 38.96a 38.70a 38.84a 39.03a 38.98a 38.84a 39.01a 39.39b 39.32b Respiration rate (breaths/min) 7:00 AM 39a 12:00 PM 38a 4:00 PM 44a 6:00 PM 45a 39a 40ab 44a 43a 43a 45b 49a 47a Heart rate (beats/min) 7:00 AM 108 12:00 PM 101 4:00 PM 120 6:00 PM 118 108 105 109 111 99 105 119 113 P SEM Group PER Group × PER 0.05 0.04 0.06 0.07 0.01 <0.01 <0.01 <0.01 <0.01 <0.01 <0.01 <0.01 <0.01 <0.01 <0.01 <0.01 80b 108c 126b 117b 2 2 2 2 <0.01 <0.01 <0.01 <0.01 <0.01 <0.01 <0.01 <0.01 <0.01 <0.01 <0.01 <0.01 102 103 111 107 2 3 3 3 0.40 0.61 <0.01 0.02 <0.01 0.75 0.98 0.07 0.61 0.23 0.50 0.90 Group 2 (HS) 39.23b 39.60b 40.57c 40.10c Abbreviations: HS, heat stress; PER, period; PF, pair feeding; SEM, standard error of the mean; TN, thermoneutral. Note: a,b,c Values within row of each variable with differing superscripts indicate statistical difference. * During period 1, calves in both groups were treated identically (housed under TN conditions and allowed to eat ad libitum). † During period 2, calves were either heat stressed and allowed to eat ad libitum or pair-fed and kept under TN conditions. PF controls, and this difference was most pronounced (14%) during the middle of P2 (temporal pattern not shown). Basal NEFA concentrations were unaffected by environment and period (Table 4). Daily insulin concentrations tended (P < 0.06) to increase (33%) during HS compared to PF controls (Table 4; Fig. 1). Although similar to each other during P2 (Table 4), both HS and PF had increased (P < 0.01; 77%) circulating PUN concentrations compared to P1 (Fig. 2). Neither environment nor period affected the glucose response (AUC or SOGD) to the GTT (Table 4). However, there was a tendency (P < 0.07) for HS calves to have a greater (59%) insulin response to the GTT during P2 (Table 4). Both HS and PF tended (P < 0.10) to ameliorate the overall glucose response (AUC) to the ITT, but there were no differences between environments in the AUC or the FROC (Table 4). 4. Discussion Animal productivity is maximized in a narrow thermal range as energy, and nutrients are diverted away from growth/milk/reproduction toward maintaining euthermia when environmental conditions are not ideal. This change in nutrient partitioning priority decreases animal performance and is therefore a sig- Table 3 Effects of pair feeding and heat stress on production variables in growing Holstein bull calves. Period 2† Period 1* P Parameter Group 1 (TN) Group 2 (TN) Group 1 (PF) Group 2 (HS) SEM Group PER Group × PER DMI (kg/d) DMI (%BW) ADG (kg/d) G:F Water intake (L/d) 4.1 2.69 1.1 0.28 10.0a 4.2 2.80 1.3 0.34 10.5a 3.6 2.30 −0.3 −0.09 9.7a 3.8 2.38 0.1 0.02 21.0b 0.1 0.05 0.2 0.06 0.9 0.07 0.08 0.21 0.26 <0.01 <0.01 <0.01 <0.01 <0.01 <0.01 0.80 0.81 0.64 0.63 <0.01 Abbreviations: ADG, average daily gain; BW, body weight; DMI, dry matter intake; G:F, gain-to-feed ratio; HS, heat stress; PER, period; PF, pair feeding; SEM, standard error of the mean; TN, thermoneutral. Note: a,b,c Values within row of each variable with differing superscripts indicate statistical difference. * During period 1, calves in both PF and HS were treated identically (housed under TN conditions and allowed to eat ad libitum). † During period 2, calves were either heat-stressed and allowed to eat ad libitum or pair-fed and kept under TN conditions. 90 M.D. O’Brien et al. / Domestic Animal Endocrinology 38 (2010) 86–94 Table 4 Effects of heat stress (HS) and pair feeding (PF) on basal energetic variables and stimulated whole body responses to metabolic challenges in growing Holstein bull calves. Period 1a Parameter Basal Insulin (ng/mL) Glucose (mg/dL) NEFA (Eq/L) PUN (mg/dL) Period 2b P Group 1 (TN) Group 2 (TN) Group 1 (PF) Group 2 (HS) 0.35 97.8 82.2 1.71 0.41 93.6 86.8 1.48 0.47 100.7 101.4 2.80 0.59 93.4 88.7 2.84 3227 −0.13 111 3071 −0.13 87 2987 −0.14 137 581 0.01 20 −0.11 −3854 −0.11 −2984 −0.10 −2908 0.02 380 Stimulated GTT AUC (mg/dL*min) 3924 SOGD (mg/dL*min) −0.11 Insulin responsec (mg/dL*min) 122 ITT FROC −0.09 Glucose responsed (mg/dL*min) −3280 SEM Group 0.05 0.07 1.4 <0.01 6.4 0.53 0.18 0.59 PER Group × PER <0.01 0.36 0.10 <0.01 0.49 0.27 0.18 0.46 0.36 0.18 0.35 0.51 0.18 0.83 0.60 0.94 0.14 0.54 0.48 0.96 0.11 0.30 0.44 Abbreviations: AUC, area under the glucose response curve; FROC, fractional rate of glucose clearance; GTT, glucose tolerance test; HS, heat stress; ITT, insulin tolerance test; NEFA, nonesterified fatty acids; PER, period; PF, pair feeding; PUN, Plasma urea nitrogen; SEM, standard error of the mean; SOGD, slope of glucose disappearance; TN, thermoneutral. a During period 1, calves in both PF and HS were treated identically (housed under TN conditions and allowed to eat ad libitum). b During period 2, calves were either heat-stressed and allowed to eat ad libitum or pair-fed and kept in TN conditions. c Insulin response to the GTT. d Area under the insulin-induced glucose response curve. nificant financial burden in most countries and may be the largest global contributor to reduced animal agriculture income. The negative effects of HS will become even more apparent in the future if climate change continues, as some predict, and as the world’s population and thus food supply continues to increase in and migrate toward, respectively, the tropical and subtropical regions. In addition, genetic improvement programs that enhance production traits increase animals’ susceptibility to environmental HS because of the positive relationship between metabolic heat gen- eration and production level. Therefore, identifying the mechanisms by which a heat load negatively influences growing cattle may ultimately provide clues to the development of nutritional and pharmaceutical strategies to ameliorate the negative effects of high ambient temperatures. Unfortunately, many of the negative effects of HS on production and biology are shared with a lower plane of nutrition. To differentiate between the direct effects of environment-induced hyperthermia versus the indirect effects of heat-induced decreased nutrient intake, we used a pair-feeding TN model to Fig. 1. Effects of heat stress and pair feeding on basal insulin concentrations in growing Holstein bull calves. The vertical line separates period 1 (thermoneutral conditions and ad libitum feed intake) from period 2 (either heat stress conditions and ad libitum feed intake or thermoneutral conditions and pair-fed). M.D. O’Brien et al. / Domestic Animal Endocrinology 38 (2010) 86–94 91 Fig. 2. Effects of heat stress and pair feeding on basal plasma urea nitrogen concentrations in growing Holstein bull calves. The vertical line separates period 1 (thermoneutral conditions and ad libitum feed intake) from period 2 (either heat stress conditions and ad libitum feed intake or thermoneutral conditions and pair-fed). eliminate the confounding effects of dissimilar nutrient intake. To mimic a natural circadian pattern, we used an HS protocol with temperatures slowly increasing from 29.4 ◦ C at 6:00 AM to a maximum of 40.0 ◦ C at 4:00 PM before slowly returning to 29.4 ◦ C at 11:00 PM (20% humidity). Calves in the HS climate had increased body temperature variables at every measured time point, with the maximum RR and RT indicating severe heat stress. The marked hyperthermia and distinct body temperature differences between the 2 environments created an ideal model to study HS in growing ruminants. The HS environment caused an immediate (by day 2) decrease (approximately 12%) in nutrient intake, and feed intake remained stable thereafter (temporal pattern not shown). By design, the PF calves had a similar pattern of reduced feed intake. The environmental protocol actually provided a slightly higher heat load than our previous lactation trials [3,5], but the reduced feed intake was much less than in lactating dairy cows (12% vs 40%). Reasons for the discrepancy are not clear, but it may be explained in large part by the amount of time animals experienced extensive hyperthermia. In our previous lactation trials, cows remained warmer throughout the cooler night and were warmer (>1.0 ◦ C) than PF controls at 6:00 AM. Calves in the current study were only 0.39 ◦ C warmer than their PF controls at 7:00 AM. Other contributing differences between studies include (1) diet (concentrate vs forage); (2) surface-to-mass ratio (heat dissipation is proportional to body surface area); (3) physiological state; (4) the extent to which a growing animal and lactating animal consume nutrients above their maintenance requirements; and (5) sex. Breed genetics can probably be ruled out, as Holsteins were used in both the lactation trial and the current trial. Both HS and PF climates eliminated body weight gain (Table 3), which indicates heat-induced DMI reduction essentially explains all of the reduced weight gain; this finding agrees with HS pig data [8]. However, this result is in stark contrast to poultry data that indicated that reduced DMI accounts for only about 50% of HSinduced decreased growth [9]. In addition, heat-induced reductions in nutrient intake account for only 35%-50% of the decreased milk yield in lactating cows [3,4]. Reasons for the differences between models and species are not clear, but they nonetheless illustrate the importance of strategies that maximize feed intake in heat-stressed growing cattle. Compared to PF controls, heat-stressed calves had reduced circulating plasma glucose concentrations. The reduction in glucose concentrations resulting from HS agrees with studies using heat-stressed rats [10], chickens [11], sheep [12], and heifers and cows [6,13–15]. However, other studies indicate a heat-load–induced increase in blood glucose in chickens [16], rabbits [17], sows [18], and exercising men [19]. In addition, in our previous lactation trials, both heat-stressed and PF cows had reduced basal blood glucose concentrations [3,4]. Reasons for the discrepancies are not clear, but species differences, altered physiological states (lactation vs growth), magnitude and duration of hyperthermia, and diet composition may all contribute to the variation observed in circulating glucose concentrations. Nonetheless, the decreased glucose in the present study is probably a result of the heat-induced increase in circulating basal insulin concentrations (Fig. 1), which are consistent with findings in our previous lactation trial [4]. The increased basal insulin concentration in response to heat is consistent with findings in rodents [20], a malignant hyperthermic porcine model [21], and lactating cows [4,14]. The elevated basal insulin concentration 92 M.D. O’Brien et al. / Domestic Animal Endocrinology 38 (2010) 86–94 is surprising, as animals on a lower plane of nutrition typically have decreased circulating insulin. The increased insulin may be an essential part of the adaptation mechanism. For example, human diabetics are more susceptible to heat [22]. In addition, diabetic rats have an increased mortality rate when exposed to heat, and exogenous insulin increases their survival time [23]. Consequently, it appears insulin and maintenance of insulin action play a critical role in the ability of an animal to respond and ultimately survive a heat load. Plasma NEFA concentrations were unaffected by either HS or PF, which illustrates that feed restriction in the PF group was not severe enough to cause adipose mobilization. In our lactation trials [3,4], PF cows exhibited the expected increase in plasma NEFA concentrations, but HS cows did not, despite both groups being in a reduced energetic state and losing body weight. However, the lack of NEFA response in the HS calves agrees with the results of studies demonstrating reduced NEFA concentrations in heat-stressed pigs [21], sheep [24], heifers [15], and lactating cows [25]. The lack of change or decrease in NEFA concentrations is consistent with increased basal insulin concentrations, as insulin is a potent antilipolytic signal [26]. This finding is especially impressive, as HS (especially acute HS) causes the release of catecholamines and glucocorticoids [2], hormones that typically promote adipocyte lipolysis and NEFA mobilization. Presumably the prevention of adipose lipid mobilization and subsequent substrate competition maximize glucose utilization in skeletal muscle, as elevated NEFA concentrations contribute to insulin resistance and reduced glucose oxidation [27]. Both HS and PF calves had overall increased PUN concentrations compared to P1, but there were no differences between climatic conditions. This finding is primarily a result of the rapid rise within the first 2-3 d, but then PUN concentrations gradually decreased and reached basal concentrations by 5-6 d (Fig. 2). This finding differs from results of our lactation trial [4], which indicated higher PUN concentrations in HS compared to PF controls. The heat-induced increase in PUN (which agrees with other HS ruminant trials [15,28]) may result from inefficient rumen microbial nitrogen incorporation, as heat stress is thought to alter rumen fermentation patterns [29]. In addition, elevated PUN could be a downstream by-product of skeletal muscle proteolysis. A more appropriate plasma indicator of muscle break down is 3methylhistidine or creatine, both of which increase in heat-stressed rabbits [17], lactating cows [28,29], and humans [19]. Additional evidence demonstrates that HS decreases milk ␣ and  casein concentrations [30] and Fig. 3. Effects of heat stress (ad libitum feed intake) and pair feeding (thermoneutral conditions) on the insulin response to a glucose tolerance test (GTT) in growing Holstein bull calves during period 2. HS cows consistently have lower milk protein content compared to PF controls [3,4], suggesting hyperthermia has direct effects on protein synthesizing machinery. The effects of HS on muscle and mammary protein metabolism is perplexing, as insulin stimulates protein synthesis in both tissues [31,32]. Thus, there appear to be differences between muscle and adipose tissue responsiveness (resistant and sensitive, respectively) to HS-induced increased basal insulin concentrations. To gain a better appreciation for the changes in postabsorptive carbohydrate metabolism, we performed a GTT and an ITT and observed that plasma glucose clearance in response to the GTT did not differ between HS and PF calves. This finding contradicts those of our lactation trial [4] and a diabetic rodent study [33], in which a more rapid glucose clearance during HS was observed. Despite a lack of difference in plasma glucose clearance to the GTT in the current study, HS calves displayed a greater insulin response to the GTT (Fig. 3) consistent with data from our lactation trial [4] and data from heat-stressed sheep [12]. Moreover, both HS and PF calves responded similarly with a blunted (compared to P1) overall glucose response to the ITT. The total AUC response to the ITT can be difficult to interpret because of counter-regulatory systems that are initiated (ie, glucagon and epinephrine) in response to the insulin-induced hypoglycemia. The rate of glucose disappearance immediately following insulin administration is a more sensitive measure of acute insulin action, and neither period nor environment influenced this parameter. Therefore, the HS-induced decreased basal glucose in the current study and increased glucose disposal in our previous trial [4] may result from increased blood insulin concentrations and/or enhanced non-insulin–mediated glucose transport, rather than an increase in insulin sensitivity. Estimating energy balance (EBAL) during heat stress (for both lactating and growing animals) introduces M.D. O’Brien et al. / Domestic Animal Endocrinology 38 (2010) 86–94 problems independent of those that are inherent to normal EBAL estimations. Considerable evidence suggests that a heat load increases maintenance costs in rodents [34], poultry [35], sheep [36], and cattle (≥ 25%; [1,37,38], however, because of complexities involved in predicting upper critical temperatures, no universal equation is available to adjust for this increase in maintenance [38]. Maintenance requirements are thought to increase, as there is presumably a large energetic cost of dissipating stored heat, and the Q10 effect (Van’t Hoff’s Law) predicts the increase in maintenance costs [39]. Not incorporating an HS correction factor results in overestimating EBAL and thus inaccurately predicting energy status. In the current study, the PF TN controls did not gain or lose body weight, suggesting nutrient and energy intake satisfied maintenance requirements. The HS calves consumed similar quantities of the same diet and also had static body weight. This latter observation may indicate, at least during growth, that HS does not increase overall maintenance requirements. If HS were to increase maintenance costs as is frequently reported, then the energy requirements of the HS calves should have exceeded those of their PF TN counterparts. Consequently, the HS calves would have been consuming inadequate energy/nutrients and should have (by definition) lost body weight. However, this was not the case, as HS calves did not lose body mass, suggesting that maintenance costs may not have increased. Further research is necessary to evaluate the effects of heat on maintenance requirements and to determine if physiological state (growth vs lactation) influences energy partitioning during thermal challenges. Reasons for the changes in HS-induced postabsorptive metabolism are not clear. Presumably they are adaptive mechanisms employed in an attempt to maintain a safe body temperature. The increased basal and stimulated insulin response likely prevents fatty acid mobilization while simultaneously ensuring glucose uptake, and we hypothesize this is one strategy to minimize metabolic heat production. Glucose oxidation appears most efficient [40], as in vivo glucose oxidation yields 38 ATP or 472.3 kcal of energy (assuming -12.3 kcal/mole as the G for ATP hydrolysis under cellular conditions [41]) compared to the 637.1 kcal of energy released from glucose oxidation in vitro (74.1% efficiency). In contrast, in vivo fatty acid (ie, stearic acid) oxidation yields 146 ATP or 1,814 kcal of energy compared to 2,697 kcal from complete oxidation in vitro (67.3% efficiency). This 10% improvement in capturing energy may be the reason heat-stressed animals initiate the aforementioned metabolic adaptations. 93 5. Conclusion Environmental conditions that prevent adequate heat dissipation increase body temperature, and this hyperthermia reduces production (growth, milk yield, reproduction, etc.) in agriculturally important animals. In fact, HS-associated decrease in productivity may be the most economically detrimental factor facing global animal agriculture. Herein we demonstrate that reduced feed intake appears to fully explain why HS stunts growth in Holstein calves. However, the mechanism(s) by which inadequate nutrient intake and environmentally induced hyperthermia reduce body weight gain may differ. Independent of reduced feed intake, heat-stressed calves have altered post-absorptive carbohydrate metabolism that would not have been predicted based on their energetic state. This altered metabolism is characterized primarily by an increase in basal and glucose-stimulated insulin concentrations. It will be of interest to evaluate how changes in the insulin/glucose axis acutely and chronically affect the immune system. Why (and how) environmentally induced hyperthermia alters post-absorptive metabolism is ill-defined, but identifying these mechanisms may lead to preventative strategies (nutritional, pharmaceutical, etc.) to maximize human food production during the warm summer months. Acknowledgments This work was partially funded by The University of Arizona Experiment Station, #ARZT-136339-H-24130, and the National Research Initiative Competitive Grant no. 2008-35206-18817 from the USDA Cooperative State Research, Education, and Extension Service. The authors express their appreciation to J. Wheelock, R. Burgos-Zimbleman, S. Pearce, J. English, and K. Cannon for assistance at the Agriculture Research Complex. References [1] Morrison SR. Ruminant heat stress: effect on production and means of alleviation. J Anim Sci 1983;57:1594–9. [2] Beede DK, Collier RJ. Potential nutritional strategies for intensively managed cattle during thermal stress. J Anim Sci 1986;62:543–54. [3] Rhoads ML, Rhoads RP, VanBaale MJ, Collier RJ, Sanders SR, Weber WJ, Crooker BA, Baumgard LH. Effects of heat stress and plane of nutrition on lactating Holstein cows: I. production, metabolism and aspects of circulating somatotropin. J Dairy Sci 2009;92:1986–97. [4] Wheelock JB, Rhoads RP, VanBaale MJ, Sanders SR, Baumgard LH. Effects of heat stress on energetic metabolism in lactating Holstein cows. J Dairy Sci 2010; in press. 94 M.D. O’Brien et al. / Domestic Animal Endocrinology 38 (2010) 86–94 [5] Shwartz G, Rhoads ML, VanBaale MJ, Rhoads RP, Baumgard LH. Effects of a supplemental yeast culture on heat-stressed lactating Holstein cows. J Dairy Sci 2009;92:935–42. [6] National Research Council. Nutrient requirements of beef cattle. 7th revised ed. Washington, DC: National Academy Press; 1996. [7] Baumgard LH, Corl BA, Dwyer DA, Bauman DE. Effects of conjugated linoleic acids (CLA) on tissue response to homeostatic signals and plasma variables associated with lipid metabolism in lactating dairy cows. J Anim Sci 2002;80:1285–93. [8] Collin A, Van Milgan J, Dubois S, Noblet J. Effect of high temperature and feeding level on energy utilization in piglets. J Anim Sci 2001;79:1849–57. [9] Geraert PA, Padilha JC, Guillaumin S. Metabolic and endocrine changes induced by chronic heat exposure in broiler chickens: growth performance, body composition and energy retention. Br J Nutr 1996;75:195–204. [10] Mitev S, Dinevska-Kovkarovska S, Miova B. Effect of the acclimation to high environmental temperature on the activity of hepatic glycogen phosphorylase (a + b and a), liver glycogen content and blood glucose level in rat. J Therm Biol 2005;30: 563–8. [11] Rahimi G. Effect of heat shock at early growth phase on glucose and calcium regulating axis in broiler chickens. Int J Poult Sci 2005;4:790–4. [12] Achmadi J, Yanagisawa T, Sano H, Terashima Y. Pancreatic insulin secretory response and insulin action in heat-exposed sheep given a concentrate or roughage diet. Domest Anim Endocrinol 1993;10:279–87. [13] Nardone A, Lacetera N, Bernabucci U, Ronchi B. Composition of colostrums from dairy heifers exposed to high air temperatures during late pregnancy and the early postpartum period. J Dairy Sci 1997;80:838–44. [14] Ithoh F, Obara Y, Rose MT, Fuse H, Hashimoto H. Insulin and glucagons secretion in lactating cows during heat exposure. J Anim Sci 1998;76:2182–9. [15] Ronchi B, Bernabucci U, Lacetera N, Supplizi AV, Nardone A. Distinct and common effects of heat stress and restricted feeding on metabolic status of Holstein heifers. Zoot Nutr Anim 1999;25:11–20. [16] Garriga C, Hunter RR, Amat C, Planas JM, Mitchell MA, Moreto M. Heat stress increases apical glucose transport in the chicken jejunum. Am J Regul Integr Comp Physiol 2006;290:R195– 201. [17] Marder J, Eylath U, Moskovitz E, Sharir R. The effect of heat exposure on blood chemistry of the hyperthermic rabbit. Comp Biochem Physiol 1990;97:245–7. [18] Prunier A, Messias de Braganca M, Dividich JL. Influence of high ambient temperature on performance of reproductive sows. Liv Prod Sci 1997;52:123–33. [19] Febbraio MA. Alterations in energy metabolism during exercise and heat stress. Sports Med 2001;31:47–59. [20] Torlinska T, Banach R, Paluszak J, Gryczka-Dziadecka A. Hyperthermia effect on lipolytic processes in rat blood and adipose tissue. Acta Physiol Pol 1987;38:361–6. [21] Hall GM, Lucke JN, Lovell R, Lister D. Porcine malignant hyperthermia. VII: Hepatic metabolism. Br J Anaesth 1980;52: 11–7. [22] Shuman SH. Pattern of urban heat-wave deaths and implications for prevention: data from New York and St. Louis during July, 1966. Env Res 1972;5:59–75. [23] Niu CS, Lin MT, Liu IM, Cheng JT. Role of striatal glutamate in heatstroke-induced damage in streptozotocin-induced diabetic rats. Neurosci Lett 2003;348:77–80. [24] Sano H, Takahashi K, Ambo K, Tsuda T. Turnover and oxidation rates of blood glucose and heat production in sheep exposed to heat. J Dairy Sci 1983;66:856–61. [25] Ithoh F, Obara Y, Fuse H, Rose MT, Osaka I, Takahashi H. Effects of heat exposure on plasma insulin, glucagon and metabolites in response to nutrient injection in heifers. Comp Biochem Physiol 1998;119:157–64. [26] Vernon RG. Effects of diet on lipolysis and its regulation. Proc Nutr Soc 1992;51:397–408. [27] Randle PJ. Regulatory interactions between lipids and carbohydrates: the glucose fatty acid cycle after 35 years. Diabetes Metab Rev 1998;14:263–83. [28] Kamiya M, Kamiya Y, Tanaka M, Oki T, Nishiba Y, Shioya S. Effects of high ambient temperature and restricted feed intake on urinary and plasma 3-methylhistidine in lactating Holstein cows. Anim Sci J 2006;77:201–7. [29] Schneider PL, Beede DJ, Wilcox CJ. Nycterohemeral patterns of acid-base status, mineral concentrations and digestive function of lactating cows in natural or chamber heat stress environments. J Anim Sci 1988;66:112–25. [30] Bernabucci U, Lacetera N, Ronchi B, Nardone A. Effects of the hot season on milk protein fractions in Holstein cows. Anim Res 2002;51:25–33. [31] Allen RE. Muscle growth and development. In: Designing Foods. Animal Product Options in the Marketplace. Washington, DC: National Academy Press; 1988:142–162. [32] Mackle TR, Dwyer DA, Ingvartsen KL, Chouinard PY, Ross DA, Bauman DE. Effects of insulin and postruminal supply of protein on use of amino acids by the mammary gland for milk protein synthesis. J Dairy Sci 2000;83:93–105. [33] Kokura S, Adachi S, Manabe E, Mizushima K, Hattori T, Okuda T, Nakabe N, Handa O, Takagi T, Naito Y, Yoshida N, Yoshikawa T. Whole body hyperthermia improves obesity-induced insulin resistance in diabetic mice. Int J Hyperthermia 2007;23: 259–65. [34] Collins FG, Mitros FA, Skibba JL. Effect of palmitate on hepatic biosynthetic functions at hyperthermic temperatures. Metabolism 1980;29:524–31. [35] Yunianto VD, Hayashi K, Kaneda S, Ohtsuka A, Tomita Y. Effect of environmental temperature on muscle protein turnover and heat production in tube-fed broiler chickens. Br J Nutr 1997;77:897–909. [36] Ames DR, Nellor JE, Adams T. Energy balance during heat stress in sheep. J Anim Sci 1971;32:784–8. [37] National Research Council. Nutrient requirements of dairy cattle. 6th revised ed. Washington, DC: National Academy Press; 1989. [38] Fox DG, Tylutki TP. Accounting for the effects of environment on the nutrient requirements of dairy cattle. J Dairy Sci 1998;81:3085–9. [39] Brody S. Bioenergetics and growth: with special reference to the efficiency complex in domestic animals. New York, NY: Hafner Press; 1945. [40] Baldwin RL, Smith NE, Taylor J, Sharp M. Manipulating metabolic parameters to improve growth rate and milk secretion. J Anim Sci 1980;51:1416–28. [41] Berg JM, Tymoczko JL, Stryer L. Biochemistry. 6th Edition New York, NY: W.H. Freeman and Company; 2007. p. 459.
© Copyright 2026 Paperzz