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Department of Animal Science, Michigan State University, East Lansing 48824-1225
Corresponding author: M. S. Allen; e-mail: allenm{at}pilot.msu.edu.
| ABSTRACT |
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Key Words: propionate infusion feeding behavior stage of lactation glucose demand
Abbreviation key: EL = cows in early lactation, ML = cows in midlactation
| INTRODUCTION |
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Propionate and NEFA are the primary metabolic fuels extensively utilized by the ruminant liver (Demigne et al., 1986; Emery et al., 1992). Glucose, acetate, and butyrate are the other major metabolic fuels for ruminants but have no, or inconsistent hypophagic effects (Allen, 2000), and they are not extensively utilized in the liver (Ballard, 1965; Ricks and Cook, 1981; Demigne et al., 1986). Allen (2000) proposed that hypophagic effects of propionate are from its oxidation in the liver. Although hypophagic effects of propionate are well documented, effects of propionate infusion on feed intake of ruminants have been inconsistent (Allen, 2000). Inconsistent hypophagic effects of propionate infusion might be because of unidentified differences in animal characteristics. Cows differing in physiological state might respond differently to intraruminal infusion of propionate. If propionate and NEFA decrease feed intake by stimulating oxidative metabolism in the liver, an interaction between hypophagic effects of propionate and mobilized NEFA is of interest to elucidate regulation mechanisms for feed intake in EL.
The objective of this experiment was to determine whether dose-response effects of intraruminal infusion of propionate on feeding behavior differ by stage of lactation.
| MATERIALS AND METHODS |
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Data and Sample Collection
The amount of feed offered and orts were weighed for each cow daily. Samples of all dietary ingredients (0.5 kg) were collected daily during the 3-d collection period and on the feeding behavior monitoring days during the infusion period (d 18, 20, 22, 24, 26, and 28) and composited to one sample. Samples of orts (12.5%) were collected daily during the 3-d collection period (d 15 to 17) and composited into one sample per cow. Body weight and BCS [(Wildman, 1982); five-point scale where 1 = thin to 5 = fat] were measured on d 17 of each period. Cows were milked twice daily in the milking parlor except for the evening milking on feeding behavior monitoring days (d 18, 20, 22, 24, 26, and 28) when cows were milked in their stalls. Milk yield was measured daily during the 3 d collection period and averaged to characterize cows in each stage of lactation. Milk was sampled at every milking during the 3-d collection period and analyzed for fat, true protein, lactose, SNF with midinfrared spectroscopy by Michigan DHIA (AOAC, 1997).
Samples of feces, ruminal fluid, and blood were collected every 9 h on d 15 to 17. Ruminal fluid samples were collected from five different sites in the rumen, squeezed through a nylon screen, and pH was determined immediately after collection. Samples were frozen at -20°C until further analysis. Blood samples were collected from coccygeal vessels into two Vacutainer tubes (Becton Dickinson, Franklin Lakes, NJ): one with sodium heparin and the other with potassium oxalate and sodium fluoride as a glycolytic inhibitor. Both were centrifuged at 2000 x g for 15 min immediately after sample collection, and plasma was harvested and frozen at -20°C until analysis.
On feeding behavior monitoring days (d 18, 20, 22, 24, 26, and 28), infusion started at 0800 h, 6 h prior to feeding, and continued for 18 h. Cows were not allowed access to feed between 1000 to 1400 h to minimize confounding effects of ruminal fermentation from the previous feeding. This was consistent throughout the experiment for adaptation of feeding behavior. Feeding behavior was monitored for 12 h (1400 to 0200 h) by a computerized data acquisition system (Dado and Allen, 1993). Data of chewing activities, feed disappearance, and voluntary water consumption were recorded for each cow every 5 s, and meal bouts, interval between meals, meal size, eating time, ruminating time, and total chewing time were calculated. At the end of feeding behavior monitoring period (0200 h), ruminal fluid and blood were sampled and processed as described previously. Additionally, blood samples mixed with sodium heparin were analyzed for pH and concentrations of ionized Ca, Na, K, and Cl using a blood gas analyzer (Stat Profile 4, Nova Biomedical, Waltham, MA) according to manufacturers recommendation.
Sample and Statistical Analysis
Diet ingredients, orts, and fecal samples were dried in a 55°C forced-air oven for 72 h and analyzed for DM concentration. All samples were ground with a Wiley mill (1 mm screen; Authur H. Thomas, Philadelphia, PA). Samples were analyzed for ash, NDF, indigestible NDF, ADF, CP, and starch according to the methods described previously (Oba and Allen, 2003a). Concentrations of all nutrients except for DM were expressed as percentages of DM determined from drying at 105°C in a forced-air oven. Indigestible NDF was used as an internal marker to calculate apparent total tract digestibility (Cochran et al., 1986). Metabolizable energy intake from diet was calculated according to National Research Council (2001) based on actual digestibility of diets.
Ruminal fluid samples were analyzed for VFA concentrations according to the method described previously (Oba and Allen, 2003a). Plasma samples were processed to determine concentrations of acetate and propionate in a similar manner as described for ruminal fluid (Oba and Allen, 2003a). Commercial kits were used to determine plasma concentration of glucose (Glucose kit #510; Sigma Chemical Co., St. Louis, MO), insulin (Coat-A-Count, Diagnostic Products Corporation, Los Angeles, CA), NEFA (NEFA C-kit; Wako Chemicals USA, Richmond, VA), and ß-hydroxy butyrate (BHBA; kit #310-A; Sigma Chemical Co.).
All data from the 3-d collection period (n = 10) were analyzed to characterize cows at each stage of lactation using the ANOVA procedure of JMP (version 4.0, SAS Inc., Cary, NC) according to the following model:
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where
| µ | = | overall mean,
| Si | = | fixed effect of lactation stage (i = 1 to 2), and
| eij | = | residual, assumed to be normally distributed.
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All data for infusion effects from 11 d of infusion period (n = 60) were analyzed using the fit model procedure of JMP (version 4.0, SAS Inc.) according to the following model:
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where
| µ | = | overall mean,
| Si | = | fixed effect of lactation stage (i = 1 to 2),
| C(S)j(i) | = | random effect of cow nested in a lactation stage (j = 1 to 5),
| Pk | = | fixed effect of period (k = 1 to 6),
| Ll | = | linear effect of infusion,
| Ql | = | quadratic effect of infusion,
| SLil | = | interaction between lactation stage and linear effect of infusion,
| SQil | = | interaction between lactation stage and quadratic effect of infusion, and
| eijklm | = | residual, assumed to be normally distributed.
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Treatment effects were declared significant at P < 0.05, and tendency for treatment effects was declared at P < 0.10. Treatment effects were analyzed for each stage of lactation separately if P-value for interaction was less than 0.10.
| RESULTS |
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| DISCUSSION |
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The different response in intermeal interval to propionate infusion might be related to the kinetics of propionate metabolism in the liver. Postmeal propionate flux to the liver is expected to be similar for EL and ML at respective infusion treatments because the same diet was fed to both groups of cows, and meal size was similar between groups. In addition, ruminal propionate concentration and apparent total tract OM digestibility were not affected by stage of lactation during the 3-d collection period before infusion. We speculate that glucose demand of the body affects propionate metabolism in the liver; infused propionate is used for gluconeogenesis to a greater extent and less propionate is oxidized in the liver as glucose demand of the body increases. Milk yield observed in this experiment is equivalent to 3.0 vs. 2.2 kg/d of estimated glucose demand by the mammary gland for EL and ML, respectively (Amaral-Phillips et al., 1993). Propionate infusion did not affect intermeal interval for EL possibly because greater glucose demand from greater milk yield stimulated gluconeogenesis and decreased the relative proportion of infused propionate used for oxidative metabolism in the liver. However, infused propionate might be oxidized in the liver if glucose demand of the body is relatively low, reducing hunger. Intermeal interval increased linearly by propionate infusion for ML possibly because of lower glucose demand related to lower milk yield compared to EL.
The idea that glucose demand of the body affects extent of hypophagia caused by propionate does not explain the linear reduction in DMI observed for EL at lower rates of propionate infusion. Plasma glucose concentration was greatly increased from 51.9 mg/dl with infusion of 0% propionate solution to 60.2 mg/dl with infusion of 40% propionate solution for EL. In another experiment using cows in midlactation, propionate did not cause hypophagia when plasma glucose concentration was greatly increased by infusion (Oba and Allen, 2003b). Therefore, the linear reduction in DMI for EL was not expected, especially at lower rates of propionate infusion, and an alternative or additional explanation is needed for DMI response in EL. We speculate that propionate at lower rates of infusion stimulated oxidative metabolism in the liver for EL by increasing concentrations of tricarboxylic acid cycle intermediates and oxidation of acetyl CoA, whereas infused propionate was utilized for gluconeogenesis.
In support of our speculation, a sharp reduction in plasma BHBA concentration was observed for EL at lower rates of propionate infusion. One possible interpretation of this reduction in plasma BHBA is that the pool of acetyl CoA in the liver from oxidation of NEFA was decreased by oxidation in the tricarboxylic acid cycle as the proportion of propionate in infusates increased to 40%. Although gluconeogenesis is the major metabolic pathway for propionate in the liver, increased concentration of tricarboxylic acid intermediates from greater propionate flux to the liver can result in increased oxidation of acetyl CoA. Greater propionate flux to the liver might have stimulated hepatic oxidative metabolism without oxidation of propionate. Net oxidation of propionate requires metabolism to pyruvate and reentry into the tricarboxylic acid cycle as acetyl CoA. However, net oxidation of propionate in the liver would be inhibited with excess acetyl CoA because acetyl CoA stimulates pyruvate carboxylase and increases oxaloacetate formation from pyruvate (Ballard et al., 1969). Therefore, infused propionate might stimulate gluconeogenesis and oxidative metabolism in the liver simultaneously for EL, increasing plasma glucose concentration and decreasing DMI linearly.
Propionate can also decrease ketogenesis by increasing insulin secretion and decreasing lipolysis in adipose tissue. In this experiment, propionate infusion linearly decreased plasma NEFA concentration for EL. Therefore, reduction in BHBA at lower rates of propionate infusion does not exclusively indicate enhanced oxidative metabolism in the liver. However, the extent of reduction in plasma concentration of BHBA at 20% propionate treatment compared to 0% propionate treatment was not supported by similar changes in plasma NEFA concentration, indicating that reduction in lipolysis does not solely account for the sharp reduction in plasma BHBA concentration.
Data obtained from this experiment need to be interpreted with caution because propionate was infused for a relatively short period (18 h), and propionate infusion for a longer period may give different results. In this experiment, the infusion period needed to be short enough to conduct the experiment while the cows were in a specific stage of lactation, especially for EL. Although plasma NEFA concentration decreased linearly as propionate infusion increased, plasma NEFA concentration for 100% propionate treatment in EL was still much greater than that for 0% propionate treatment in ML. Propionate infusion over a longer period might have decreased NEFA concentration to a greater extent. In addition, propionate can inhibit ß-oxidation of NEFA by decreasing activity of fatty acyl-CoA dehydrogenase (Shaw and Engel, 1985; Emery et al., 1992) or by decreasing fatty acid transport to mitochondria (Jesse et al., 1986). If animals were given sufficient time to adapt enzyme activity over a longer infusion period, propionate might decrease oxidative metabolism of mobilized NEFA, causing less hypophagia for EL compared to ML.
Acetate Utilization
Plasma glucose concentration for ML was increased by infusion of 100% sodium acetate solution (0% propionate treatment) compared with that of the 3-d collection period before infusions (61.2 vs. 59.0 mg/dL) in spite of a 15% decrease in energy intake. This was similar to observations for cows in midlactation in other experiments using a similar infusion protocol (Oba and Allen, 2002b); sodium acetate infusion increased plasma glucose concentration by 8%. These observations suggest that acetate spared glucose utilization in some tissues for ML, decreasing rate of glucose clearance from the blood because acetate is not a precursor for gluconeogenesis. However, plasma glucose concentration was not increased by infusion of the 100% acetate solution for EL, and plasma acetate concentration increased from 1.3 mM for the 3 d collection period before infusion to 6.3 mM with infusion of the 100% acetate solution. The different response to acetate infusion for EL and ML suggests that acetate spares glucose utilization to a lesser extent for EL compared to ML. Although the mechanism for lower utilization of acetate in EL is not known, activity of enzymes needed to utilize acetate as a metabolic fuel or for fatty acid synthesis might be lower in EL. Activity of acetyl CoA carboxlylase that catalyzes the limiting step for de novo fatty acid synthesis might not be sufficient due to low concentration of plasma insulin in EL (Vernon et al., 1991). In addition, Guesnet et al. (1991) reported that insulin stimulated incorporation of acetate into fatty acids to a lesser extent for ewes in early lactation compared to nonlactating ewes in midstage of pregnancy.
| CONCLUSION |
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| ACKNOWLEDGEMENTS |
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| FOOTNOTES |
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Received for publication September 6, 2002. Accepted for publication April 23, 2003.
| REFERENCES |
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