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Review: Control of feed intake by hepatic oxidation in ruminant animals: integration of homeostasis and homeorhesis

Published online by Cambridge University Press:  06 February 2020

M. S. Allen*
Affiliation:
Department of Animal Science, Michigan State University, 474 S. Shaw Lane, 2265A Anthony Hall, East Lansing, MI 48824-1225, USA
*

Abstract

Feed intake is controlled through a combination of long- and short-term mechanisms. Homeorhetic mechanisms allow adaptation to changes in physiological states in the long term, whereas homeostatic mechanisms are important to maintain physiological equilibrium in the short term. Feed intake is a function of meal size and meal frequency that are controlled by short-term mechanisms over the timeframe of minutes that are modulated by homeorhetic signals to adapt to changes in the physiological state. Control of feed intake by hepatic oxidation likely integrates these mechanisms. Signals from the liver are transmitted to brain feeding centers via vagal afferents and are affected by the hepatic oxidation of fuels. Because fuels oxidized in the liver are derived from both the diet and tissues, the liver is able to integrate long- and short-term controls. Whereas multiple signals are integrated in brain feeding centers to ultimately determine feeding behavior, the liver is likely a primary sensor of energy status.

Type
Review Article
Copyright
© The Animal Consortium 2020

Implications

The uncoupling of energy intake and energy requirements can affect the productive performance of animals. Limitations to feed intake by metabolic mechanisms or by distention of undigested feed residues in the gastrointestinal tract can result in negative energy balance, potentially compromising health, production and reproduction. Excessive energy partitioning to body reserves can result in similar consequences. The disparity between energy intake and requirement is affected by the interaction of diet and physiological state. Understanding the interaction of long- and short-term controls of feed intake will help optimize ration formulation to improve animal health, production and efficiency of nutrient utilization.

Introduction

Mechanisms controlling feed intake must ensure an adequate supply of energy for maintenance, pregnancy, growth and lactation, as well as prevent overconsumption of energy. Homeostatic mechanisms maintain physiological equilibrium, and homeorhetic mechanisms coordinate changes in energy intake necessary to support alterations in the physiological state (Bauman and Currie, Reference Bauman and Currie1980). Because most ruminants consume forage-based diets that are fibrous with relatively low nutrient density, feed intake is often limited by distension from undigested feed residues in the gastrointestinal tract. Conrad et al. (Reference Conrad, Pratt and Hibbs1964) proposed that ruminants eat to meet their energy requirements unless limited by the physical bulk of the diet. However, the idea that animals eat to meet their energy requirements fails to explain the insufficient stimulation of feed intake of ruminants in the postpartum period when feed intake is not limited by distention, but negative energy balance persists (Allen, Reference Allen2014).

Feed is consumed in discrete meals with meal frequency varying from four to five meals per day for grazing cattle (Roche et al., Reference Roche, Blache, Kay, Miller, Sheahan and Miller2008) to 9 to 14 meals per day for lactating cows fed total mixed rations (Grant and Albright, Reference Grant, Albright and D’Mello2000). Meals are initiated when stimulatory (orexigenic) signals intensify and inhibitory (anorexigenic) signals subside, and meals cease when inhibitory signals intensify and stimulatory signals subside. Stimulatory signals include those that are sensory, social, circadian and habitual, as well as a reduction in hepatic energy status, whereas inhibitory signals include distention within the gastrointestinal tract, rumen osmolality, endocrine effects, nutrient sensing by the central nervous system, and elevated hepatic energy status (Allen, Reference Allen2014). Feed intake is a function of meal size and meal frequency, which are controlled by short-term (homeostatic) mechanisms affecting satiety and hunger over a timescale of minutes. Certain elements of the short-term mechanism are likely modulated by homeorhetic signals. Whereas multiple signals are integrated in brain feeding centers to ultimately determine feeding behavior, the liver is likely a key sensor of energy status integrating long- and short-term controls. Research has shown that signals from the liver are transmitted to brain feeding centers via vagal afferents affected by the oxidation of fuels (Langhans et al., Reference Langhans, Egli and Scharrer1985; Friedman, Reference Friedman1998). The liver offers the unique advantage of sensing not just energy availability but energy balance relative to nutrient demands (Allen and Bradford, Reference Allen and Bradford2012).

The objective of this article is to discuss the liver as a sensor of energy status, integrating short- and long-term controls. The following sections provide background regarding the relationship between fuel oxidation and feed intake, control of feed intake by hepatic oxidation, the type and temporal supply of fuels oxidized in the liver of ruminants, and the control of hepatic oxidation and its modulation over the long and short terms. This will be followed by a discussion of the interactions of diet and physiological state on the control of feed intake through the lactation cycle.

Whole-body oxidation of fuels and feeding

The effect of fuel oxidation on food intake in laboratory species has been reviewed in detail previously (Langhans, Reference Langhans1996; Friedman, Reference Friedman1998). Various metabolic inhibitors have been reported to stimulate feeding by inhibiting the oxidation of glucose or fatty acids (FA). Food intake by laboratory species has been stimulated by the inhibition of glycolysis by 2-deoxy-d-glucose (Novin et al., Reference Novin, VanderWeele and Rezek1973), pyruvate transport across the mitochondrial membrane by α-cyano-4-hydroxycinnamic acid (Del Prete et al., Reference Del Prete, Lutz and Scharrer2004), long-chain FA transport across the mitochondrial membrane by methyl palmoxirate (Friedman and Tordoff, Reference Friedman and Tordoff1986) and etomoxir (Horn et al., Reference Horn, Ji and Friedman2004), and β-oxidation by mercaptoacetate (Scharrer and Langhans, Reference Scharrer and Langhans1986). In addition, food intake was decreased by the stimulation of fuel oxidation by PPARγ agonists in rats (Fu et al., Reference Fu, Gaetani, Oveisi, Lo Verme, Serrano, Rodríguez De Fonseca, Rosengarth, Luecke, Di Giacomo, Tarzia and Piomelli2003, Reference Fu, Oveisi, Gaetani, Lin and Piomelli2005) and by knockdown of 11β-hydroxysteroid dehydrogenase type 1 in mice (Li et al., Reference Li, Hernandez-Ono, Crooke, Graham and Ginsberg2011). Synergistic effects of inhibiting glucose and FA oxidation on food intake have been reported; inhibition of glycolysis by 2-deoxyglucose and FA oxidation by methyl palmoxirate synergistically increased feeding in rats (Friedman and Tordoff, Reference Friedman and Tordoff1986), as did inhibition of glycolysis by 2-deoxyglucose and lipolysis by nicotinic acid (Friedman et al., 1986). Furthermore, feeding events were related to periprandial patterns of fat and carbohydrate oxidation measured by respiration calorimetry in lactating cows (Derno et al., Reference Derno, Nurnberg, Schon, Schwarm, Rontgen, Hammon, Metges, Bruckmaier and Kuhla2013).

Control of feed intake by hepatic oxidation

Extensive evidence with laboratory species suggests that the liver provides a common integrated mechanism for the control of feeding behavior by the oxidation of a variety of fuels (Forbes, Reference Forbes1988; Langhans, Reference Langhans1996; Friedman, Reference Friedman1998; Scharrer, Reference Scharrer1999). The hepatic oxidation theory (HOT) of the control of feed intake has been applied to ruminant animals (Allen et al., Reference Allen, Bradford and Oba2009; Allen and Bradford, Reference Allen and Bradford2012; Allen, Reference Allen2014) and will be briefly summarized here. Signals from the liver are transmitted to brain feeding centers via vagal afferents (Anil and Forbes, Reference Anil and Forbes1988). The signal from the liver may be both inhibitory (affecting satiety) and stimulatory (affecting hunger) and is related to hepatic oxidation of fuels (Friedman, Reference Friedman1997). Feeding behavior is affected by the firing rate of the nerve; increased oxidation decreases the firing rate, inhibiting feeding, whereas decreased oxidation increases the firing rate, stimulating feeding (Friedman, Reference Friedman1997). Fuels extracted from the blood by the liver can be converted to acetyl CoA (AcCoA) and oxidized in the tricarboxylic acid (TCA) cycle. Hepatic oxidation varies over minutes affecting feeding behavior and is dependent upon the supply of AcCoA and the capacity of the TCA cycle.

Fuels oxidized by the ruminant liver

Fuel supply to the liver is dependent upon the absorption of fuels derived from the diet as well as those supplied by or extracted from the blood by extrahepatic tissues (Figure 1). Fuels extracted from the blood and oxidized in ruminant liver include non-esterified fatty acids (NEFA), amino acids (AA), lactate, glycerol, short-chain FA (except acetate) and medium-chain FA. Little acetate, if any, is extracted from the blood because of low activity of AcCoA synthetase (Ricks and Cook, Reference Ricks and Cook1981) necessary for its conversion to AcCoA and subsequent metabolism. In addition, little glucose is extracted from the blood of mature ruminants that lack glucokinase (Ballard, Reference Ballard1965), ensuring low hepatic glycolysis (Aschenbach et al., Reference Aschenbach, Kristensen, Donkin, Hammon and Penner2010). All fuels must be converted to AcCoA in the mitochondria for complete oxidation to CO2 in the TCA cycle. Fatty acids are converted to AcCoA by β-oxidation, whereas glucogenic fuels are converted to AcCoA through pyruvate by the pyruvate dehydrogenase complex, and ketogenic AA are converted directly to AcCoA after deamination. Although propionate and other glucose precursors can be converted to pyruvate when their supply exceeds the glucogenic flux, conversion of pyruvate to AcCoA is likely inhibited in the postpartum period. Elevated concentrations of AcCoA activate pyruvate carboxylase if energy charge is high (Petersen et al., Reference Petersen, Cline, Blair and Shulman1994) and inhibits conversion of pyruvate to AcCoA by the pyruvate dehydrogenase complex (Begum et al., Reference Begum, Tepperman and Tepperman1983), providing negative feedback and conserving TCA intermediates.

Figure 1 Flow of potential metabolic fuels in ruminant animals. (1) Short-chain fatty acids (FA) produced by ruminal fermentation (e.g. acetate, propionate, butyrate, etc.) as well as glucose, lactate, amino acids, and medium-chain FA flow to the liver from the portal-drained viscera. The type and temporal absorption of potential fuels is dependent upon diet composition and digestion kinetics affecting the site of digestion. Extraction by the liver varies by fuel and over time depending upon enzyme activities and redox state of the liver. Little glucose and acetate are extracted by ruminant liver, sparing them for use by extrahepatic tissues. Propionate extraction from portal blood is high, but extraction of other fuels is lower and variable. (2) Long-chain FA are absorbed in the lymphatic system. (3) Fuels released from the liver include glucose, β-hydroxybutyrate (BHB), acetate, amino acids (AA) and very-low-density lipoproteins. Fuels extracted by the liver from circulating blood include non-esterified FA (NEFA), glycerol, lactate and AA. When AA are supplied in excess, and when AA profile diverges from optimal, their oxidation and use for anaplerosis increases. Glucose output by the liver into the blood is affected by its demand by tissues and controlled primarily by insulin and glucagon. (4) Milk synthesis by the mammary gland is a sink for potential fuels, including glucose, NEFA, acetate, butyrate and AA. Removal of these fuels from the blood likely promotes intake by reducing their availability for oxidation in the liver. (5) Adipose tissue extracts acetate, glucose and NEFA from the blood during lipogenesis and mobilizes triacylglycerol, increasing the availability of NEFA and glycerol for hepatic oxidation. (6) Muscle tissue utilizes glucose, acetate, glycerol, BHB and NEFA as fuels, and AA for protein synthesis. Amino acids are mobilized during negative energy balance, increasing their availability as fuels following deamination, although anaplerosis of glucogenic AA decreases their oxidation compared with ketogenic AA. Lactate from partial metabolism of glucose by the muscle is available for gluconeogenesis or oxidation in the liver (adapted from Allen, Reference Allen2014 with permission).

Control of hepatic oxidation

Hepatic oxidation of fuels fluctuates with the energy needs of the liver, which varies over weeks and months (e.g. to support growth and lactation; Reynolds et al., Reference Reynolds, Dürst, Lupoli, Humphries and Beever2004). However, the periprandial pattern of fuel oxidation affects hepatic energy status and is involved in the control of feeding behavior (Friedman, Reference Friedman1997). Energy status of the liver is dependent upon the balance between energy-consuming and energy-producing reactions. Acetyl CoA enters the TCA cycle for oxidation but can also be used for anabolic pathways or exported from the liver as ketone bodies or hydrolyzed and released as acetate (Allen et al., Reference Allen, Bradford and Oba2009). The entry of AcCoA into the TCA cycle requires oxaloacetate (OAA) for the citrate synthase reaction. The availability of OAA is dependent upon the concentration of TCA intermediates and the rate of reactions within the TCA cycle (Allen, Reference Allen2014). The concentration of TCA intermediates in the mitochondria of hepatocytes is determined by the balance between anaplerosis (entry into the cycle) and cataplerosis (exit from the cycle). Intermediates exit the TCA cycle as they are used in biosynthetic pathways. Pre-gastric fermentation limits glucose available for absorption, so glucose needs are met by gluconeogenesis, which is the primary factor affecting cataplerosis in ruminants (Aschenbach et al., Reference Aschenbach, Kristensen, Donkin, Hammon and Penner2010). Anaplerotic metabolites include propionate, glucogenic AA, lactate and glycerol (Aschenbach et al., Reference Aschenbach, Kristensen, Donkin, Hammon and Penner2010). Propionate carbon enters the TCA cycle as succinyl CoA, and other metabolites enter the TCA cycle at other sites (i.e. OAA and α-ketoglutarate). The speed at which they are able to stimulate the oxidation of AcCoA is dependent upon the concentrations of enzymes and cofactors, enzyme activity and end-product accumulation of individual reactions (Allen, Reference Allen2014). Elevated [NADH]/[NAD] and [ATP] indicate energy sufficiency, decreasing the rate of certain reactions and the availability of OAA for the citrate synthase reaction (Allen et al., Reference Allen, Bradford and Oba2009).

Modulation of hepatic oxidation

Hormones and cytokines modulate hepatic oxidation over both the long and short terms by affecting the availability of AcCoA for oxidation, as well as anaplerosis and cataplerosis of TCA cycle intermediates. This section reviews the major factors modulating hepatic oxidation, including insulin, glucagon, somatotropin and leptin.

Plasma concentration of insulin varies over the long term with elevated concentrations indicating energy adequacy. Insulin is secreted by the pancreas in response to glucose as well as propionate and butyrate (Manns and Boda, Reference Manns and Boda1967). Other nutrients such as NEFA and certain AA can augment glucose-induced insulin secretion (Fu et al., Reference Fu, Gilbert and Liu2013). In addition, insulin secretion is regulated by various hormones, including melatonin, estrogen, leptin, somatotropin and glucagon like peptide-1 (Fu et al., Reference Fu, Gilbert and Liu2013). Insulin suppresses gluconeogenesis and ketogenesis in the liver (Brockman and Laarveld, Reference Brockman and Laarveld1986), modulating hepatic oxidation by reducing cataplerosis of the TCA cycle and increasing the availability of AcCoA for oxidation by decreasing its export from the liver as ketone bodies. Insulin also stimulates lipogenesis and suppresses lipolysis (Brockman and Laarveld, Reference Brockman and Laarveld1986), reducing the concentration of NEFA in the blood. Non-esterified fatty acids are the primary source of AcCoA and are extracted from the blood in proportion to their concentrations (Bell, Reference Bell1980). Plasma concentrations of insulin and NEFA are inversely related over the long term as well as within the timeframe of meals with pulsatile insulin release in response to absorbed fuels (Allen, Reference Allen2014). Insulin also stimulates the uptake of AA by muscle tissue and inhibits protein degradation (Brockman and Laarveld, Reference Brockman and Laarveld1986; Lobley, Reference Lobley1992). The mobilization of AA from the muscle occurs during negative energy balance when plasma insulin concentration is low (Heitmann and Bergman, Reference Heitmann and Bergman1980). Amino acids can be oxidized in the TCA cycle after conversion to AcCoA, and glucogenic AA are anaplerotic and can stimulate the oxidation of AcCoA.

Glucagon has both direct and indirect effects on plasma NEFA concentrations (Bobe et al., Reference Bobe, Sonon, Ametaj, Young and Beitz2003) by directly increasing lipolysis (Brockman, Reference Brockman1976) but indirectly decreasing lipolysis by increasing the concentrations of glucose and insulin (Brockman, Reference Brockman1978). Therefore, the net effect on lipolysis and NEFA supply to the liver is dependent upon responses of glucose and insulin (Bobe et al., Reference Bobe, Sonon, Ametaj, Young and Beitz2003). Glucagon stimulates gluconeogenesis in bovine hepatocytes in vitro, but the response is counteracted by insulin (Donkin and Armentano, Reference Donkin and Armentano1995). Chronic elevation of plasma insulin concentrations inhibits gluconeogenesis, decreasing cataplerosis of TCA intermediates and likely stimulating hepatic oxidation within meals sooner (Allen, Reference Allen2014).

Somatotropin has a range of biological effects, including stimulation of milk synthesis, increased AA and glucose uptake by the muscle and mammary gland, increased protein synthesis and accretion by skeletal muscle, increased glucose output by the liver and decreased ability of insulin to inhibit gluconeogenesis, increased basal lipolysis during negative energy balance and decreased lipid synthesis during positive energy balance (Etherton and Bauman, Reference Etherton and Bauman1998). Although somatotropin secretion is pulsatile with irregular pulses in cattle (Kayusa, Reference Kayusa2016), its effects on lipolysis are chronic with no acute effects in ruminants (Houseknecht et al., Reference Houseknecht, Bauman, Vernon, Byatt and Collier1996). Somatotropin likely stimulates feed intake by hepatic oxidation by reducing TCA intermediates; cataplerosis is increased by increasing gluconeogenesis, and anaplerosis is decreased by reducing AA supply to the liver.

Leptin has been implicated in the control of feed intake, and plasma leptin concentration is correlated with body fat percent and body condition score in lactating cows (Ehrhardt et al., Reference Ehrhardt, Slepetis, VanAmburgh, Siegal-Willot, Bell and Boisclair2000). Leptin treatment of animals causes a dose-dependent decrease in feed intake, and a loss of body weight and fat depots (Pelleymounter et al., Reference Pelleymounter, Cullen, Baker, Hecht, Winters, Boone and Collins1995). The role of leptin on the regulation of body weight balance is consistent with a fat-related lipostatic signal to the brain, proposed by Kennedy (Reference Kennedy1953). Leptin increases lipolysis and plasma NEFA concentrations by inhibiting insulin release by the pancreas (Emilsson et al., Reference Emilsson, Liu, Cawthorne, Morton and Davenport1997; Kieffer et al., Reference Kieffer, Heller, Leech, Holz and Habener1997) and suppressing lipogenesis and increasing triglyceride hydrolysis (Houseknecht et al., Reference Houseknecht, Baile, Matteri and Spurlock1998; Harris, Reference Harris2014). Whereas leptin’s effects on food intake are thought to be mediated centrally via neurotransmitters (Houseknecht et al., Reference Houseknecht, Baile, Matteri and Spurlock1998), its effects on feed intake might also be from increasing the supply of AcCoA for hepatic oxidation by elevating plasma NEFA concentrations (Allen, Reference Allen2014).

Insulin resistance is attributed to decreased maximal effect of insulin (insulin responsiveness) and decreased insulin sensitivity (the concentration of insulin to elicit a half-maximal response; Kahn, Reference Kahn1978). The effects of insulin on stimulating lipogenesis and inhibiting lipolysis in adipose tissue are affected by various factors (Vernon, Reference Vernon1980). Insulin resistance varies among animals and physiological states, modulating the effects of insulin on plasma NEFA concentrations and its supply to the liver. Hyperinsulinemia can cause insulin resistance by downregulating insulin receptors and desensitizing post-receptor pathways (Kahn and Flier, Reference Kahn and Flier2000). Insulin resistance of adipose tissue has been positively related to somatotropin in dairy cows (Boisclair et al., Reference Boisclair, Bauman, Bell, Dunshea and Harkins1994; Bell and Bauman, Reference Bell and Bauman1997), and a long-term administration of the pro-inflammatory adipokine TNF-α induced insulin resistance in steers (Kushibiki et al., Reference Kushibiki, Hodate, Shingu, Ueda, Mori, Itoh and Yokomizo2001). In contrast, the anti-inflammatory adipokine adiponectin was negatively related to insulin resistance in cows (Giesy et al., Reference Giesy, Yoon, Currie, Kim and Boisclair2012).

Metabolites affect insulin sensitivity directly by modulating the insulin-signaling pathway, and alter the protein function by post-translational modification by metabolites (e.g. acetylation and palmitoylation; Yang et al., Reference Yang, Vijayakumar and Kahn2018). Sustained elevation of plasma NEFA can interfere with insulin signaling, increasing insulin resistance (Le Marchand-Brustel et al., Reference Le Marchand-Brustel, Gual, Grémeaux, Gonzalez, Barrès and Tanti2003). Hyperlipidemia impairs the ability of insulin to suppress gluconeogenesis, stimulates glucose uptake into skeletal muscle and inhibits insulin secretion from the pancreas (Kahn and Flier, Reference Kahn and Flier2000). However, NEFA differ in their effects on insulin sensitivity. Saturated FA impair insulin signaling and decrease insulin sensitivity, whereas some unsaturated FA, including the polyunsaturated eicosapentaenoic and docosahexaenoic acids and monounsaturated oleic and palmitoleic acids, are associated with improved insulin sensitivity (Yang et al., Reference Yang, Vijayakumar and Kahn2018). β-hydroxybutyrate inhibits lipolysis in adipose tissue (Taggart et al., Reference Taggart, Kero, Gan, Cai, Cheng, Ippolito, Ren, Kaplan, Wu, Wu, Jin, Liaw, Chen, Richman, Connolly, Offermanns, Wright and Waters2005), providing negative feedback when AcCoA is in excess.

Interactions of diet and physiological state

The physiological state varies greatly across the lactation cycle, including the prepartum period when preparing for the transition from pregnancy to lactation; the immediate postpartum period characterized by a lipolytic state; peak lactation when cows are in negative energy balance and feed intake is increasingly limited by distention; and mid- to late lactation when milk yield decreases and body energy stores replete (Table 1). The effects of diet composition on feed intake are affected by the physiological state of animals (Allen and Piantoni, Reference Allen and Piantoni2014), and the interactions of diet and physiological state are related to the supply of AcCoA, and the balance between anaplerosis and cataplerosis of the TCA cycle (Figure 2).

Table 1 Relative status of characteristics related to the control of feed intake at different stages of lactation in cattle

L = low level; M = medium level; H = high level.

Figure 2 Effects of diet and physiological state on hepatic concentrations of acetyl CoA (AcCoA) and the tricarboxylic acid (TCA) cycle intermediates in ruminant animals. (1) The primary source of AcCoA is β-oxidation of non-esterified fatty acids (NEFA) extracted from the blood. (2) Other sources of AcCoA include amino acids (AA), lactate, glycerol, butyrate and medium-chain FA. (3) AcCoA enters the TCA cycle for oxidation combining with oxaloacetate (OAA) to form citrate. Acetyl CoA is also (4) used in biosynthetic reactions, (5) exported as ketone bodies and (6) hydrolyzed to acetate and released into the bloodstream. The oxidation of AcCoA in the TCA cycle is dependent upon the supply of OAA produced from TCA intermediates. The concentration of TCA intermediates is determined by the balance between anaplerosis and cataplerosis. (7) Anaplerotic metabolites include those of dietary origin, including propionate, glucogenic AA, lactate and glycerol, as well as endogenous sources including lactate, glucogenic AA and glycerol. The rate of anaplerosis by metabolites of dietary origin is highly variable depending upon the diet and the kinetics of digestion and passage. Propionate entry is pulsatile post-prandially as it can be produced, absorbed and extracted from the blood very quickly within the time-course of meals. Other anaplerotic metabolites derived from the diet (e.g. glucogenic AA, lactate) are absorbed post-ruminally with a greater latency for absorption and likely contribute to anaplerosis between meals. (8) Cataplerosis decreases the concentration of TCA intermediates, which are used for gluconeogenesis and other biosynthetic reactions.

Acetyl CoA availability for the citrate synthase reaction

The peripartum period is characterized by a lipolytic state to help meet the challenges of transitioning from pregnancy to lactation. The increase in plasma NEFA concentration helps to achieve a successful transition by sparing glucose for the gravid uterus prepartum and the lactating mammary gland postpartum, increasing the fat content of colostrum and early milk to improve energy intake by the newborn calf and providing alternative fuels to extrahepatic tissues when lactation is initiated and plasma glucose and insulin concentrations are low. Homeorhetic signals effecting this change include a decline in plasma insulin concentrations beginning several weeks prepartum (Doepel et al., Reference Doepel, Lapierre and Kennelly2002) and an increase in insulin resistance of adipose tissue during the peripartum period (Vernon, Reference Vernon1980).

The depression of feed intake that begins in the days prior to parturition (Ingvartsen and Andersen, Reference Ingvartsen and Andersen2000) is likely from a steady supply of AcCoA for oxidation in the liver during the lipolytic state (Allen et al., Reference Allen, Bradford and Harvatine2005). The plasma concentration of NEFA is determined by the balance between supply and removal; supply is from net lipolysis (the balance between lipolysis and lipogenesis) and absorbed dietary lipids, and removal is by oxidation in the liver, muscle and uterus and export as FA in milk. Endogenous and dietary lipids likely decrease feed intake by hepatic oxidation, signaling the brain depending upon the energy charge of the liver, rather than having direct central nervous system (CNS) effects (Kuhla et al., Reference Kuhla, Metges and Hammond2016). Plasma NEFA concentrations increase beginning 2 to 3 weeks prepartum, coinciding with a decrease in plasma insulin concentration, and peak at parturition when plasma insulin concentration reaches its nadir (Doepel et al., Reference Doepel, Lapierre and Kennelly2002). Over the first several weeks postpartum, NEFA is exported as milk fat, and net lipolysis decreases as plasma insulin concentrations gradually increase (Doepel et al., Reference Doepel, Lapierre and Kennelly2002). Hepatic uptake of NEFA during the postpartum period in excess of FA transport into the mitochondria for β-oxidation results in storage as triglycerides. The production of AcCoA by β-oxidation that exceeds the capacity for oxidation in the TCA cycle and biosynthesis increases export as ketone bodies and hydrolysis and release as acetate. Ketone bodies and acetate are used by extrahepatic tissues to spare glucose, and their export decreases the pool of AcCoA available for hepatic oxidation, helping to alleviate the depression of DMI in the postpartum period.

Dairy cows with higher body condition scores at calving lost more body weight and body condition, over a longer period, than cows with lower condition scores (Garnsworthy and Topps, Reference Garnsworthy and Topps1982). In addition, more extensive mobilization of body fat for over-conditioned cows began before calving and continued during the first weeks of lactation (Kokkonen et al., Reference Kokkonen, Taponen, Anttila, Syrjala-Qvist, Delavaud, Chilliard, Tuori and Tesfa2005). Extensive mobilization of fat by over-conditioned cows during the peripartum period likely increases the supply of AcCoA for oxidation in the liver, suppressing DMI consistent with the HOT.

Insulin resistance of adipose tissue in the peripartum period is related to increased somatotropin and pro-inflammatory cytokines and decreased concentrations of anti-inflammatory cytokines. Plasma concentrations of somatotropin begin to increase several weeks before calving, with peak concentrations reached during the postpartum period (Koprowski and Tucker, Reference Koprowski and Tucker1973), whereas plasma concentrations of IGF-1 have an opposite pattern (Doepel et al., Reference Doepel, Lapierre and Kennelly2002). Leptin decreases with the onset of lactation (Kadokawa et al., Reference Kadokawa, Blache, Yamada and Martin2000). However, constant intravenous infusion of leptin for 96 h did not affect feed intake of cows in the postpartum period (Ehrhardt et al., Reference Ehrhardt, Foskolos, Giesy, Wesolowski, Krumm, Butler, Quirk, Waldron and Boisclair2016). A lack of effect of leptin on feed intake of cows in negative energy balance is consistent with its effects attributable to hepatic oxidation because leptin treatment is unlikely to reduce insulin concentrations, when it is already low, or increase insulin resistance of adipose tissue, when it is already elevated, during this period. The elevation of TNF-α during this period was correlated positively with insulin resistance in cows with fatty liver (Ohtsuka et al., Reference Ohtsuka, Koiwa, Hatsugaya, Kudo, Hoshi, Itoh, Yokota, Okada and Kawamura2001), and decreased adiponectin concentration in the peripartum period in the dairy cow likely contributes to insulin resistance (Giesy et al., Reference Giesy, Yoon, Currie, Kim and Boisclair2012). A retrospective study of cows with high v. low fat concentrations in the liver during the postpartum period reported that cows with higher liver fat concentrations had lower feed intake, higher plasma NEFA concentrations, increased degradation of AA and anaplerotic reactions, increasing TCA cycling, mitochondrial oxidation of AcCoA and oxidative phosphorylation consistent with the HOT (Schäff et al., Reference Schäff, Börner, Hacke, Kautzsch, Albrecht, Hammon, Röntgen and Kuhla2012).

As lactation proceeds, elevated somatotropin continues to direct nutrients to milk production (Etherton and Bauman, Reference Etherton and Bauman1998), and plasma NEFA concentrations decrease as greater quantities of NEFA are exported as milk fat and increasing plasma insulin concentrations decrease net lipolysis. Hepatic AcCoA concentrations decrease as plasma NEFA concentrations decline, decreasing their export as ketone bodies. The signal from hepatic oxidation gradually diminishes as hepatic AcCoA concentrations decrease and feed intake is increasingly limited by distention by undigested feed residues (Allen, Reference Allen2014). Whereas the dominant mechanisms controlling feed intake change with diet and physiological state, different mechanisms likely have additive effects on feed intake both within and across days. Synergistic effects on satiety were demonstrated by the additive effects of intraruminal infusion of short-chain FA on feeding behavior of lactating cows when rumens were distended by balloons (Mbanya et al., Reference Mbanya, Anil and Forbes1993) or forage NDF concentrations of diets (Choi and Allen, Reference Choi and Allen1999).

Priorities in mid- to late lactation include directing nutrients to the fetus and replenishing body reserves. Somatotropin concentrations gradually decline, decreasing milk yield and insulin resistance. Decreased milk production results in elevated plasma glucose and insulin concentrations, increasing the balance between lipogenesis and lipolysis, and decreasing plasma NEFA and hepatic AcCoA concentrations (Piantoni et al., Reference Piantoni, Ylioja and Allen2015). Although NEFA is likely the dominant source of AcCoA for cows in the postpartum period when cows are in a lipolytic state, other fuels likely contribute to a greater extent when cows are in late lactation (Piantoni et al., Reference Piantoni, Ylioja and Allen2015). Plasma leptin concentrations increase with body condition (Bradford et al., Reference Bradford, Oba, Ehrhardt, Boisclair and Allen2006), limiting adiposity by direct effects on the CNS as well as by increasing plasma NEFA concentrations and the supply of AcCoA for hepatic oxidation (Allen, Reference Allen2014). Sensitivity to exogenous leptin varies among animals, and obese animals may have reduced sensitivity to leptin, reducing its hypophagic effect (Myers et al., Reference Myers, Heymsfield, Haft, Kahn, Laughlin, Leibel, Tschöp and Yanovski2012).

Anaplerosis v. cataplerosis: stimulation of acetyl CoA oxidation

Intermediates of the TCA cycle that provide OAA for the citrate synthase reaction and used for gluconeogenesis and other biosynthetic reactions are replenished by anaplerotic metabolites derived from the diet and tissues. Propionate is the primary anaplerotic metabolite stimulating hepatic oxidation within the timeframe of meals (Allen, Reference Allen2000). Propionic acid is produced primarily by the fermentation of starch by rumen microbes and can be produced and absorbed as propionate at very high rates and efficiently extracted by the liver within the timeframe of meals (Allen, Reference Allen2000). Other anaplerotic metabolites derived from the diet (e.g. glucogenic AA, lactate) are absorbed post-ruminally with a greater latency for absorption and likely contribute to hepatic oxidation extending satiety post-prandially (Allen et al., Reference Allen, Bradford and Oba2009). Although glycerol and propionate are both 3-carbon glucose precursors with similar energy concentrations, they have different hypophagic effects because propionate is an obligate anaplerotic metabolite, whereas glycerol can enter the gluconeogenic pathway as glyceraldehyde-3-phosphate in the cytosol without stimulating hepatic oxidation. Consistent with this, propionic acid decreased DMI 17% relative to glycerol by decreasing meal size when isoenergetic solutions were infused abomasally in cows in the postpartum period (Gualdrón-Duarte and Allen, Reference Gualdrón-Duarte and Allen2017).

The production rate of propionic acid by rumen microbes is highly variable depending upon source (Allen, Reference Allen2000). The starch concentration of diets consumed by ruminants is highly variable ranging from <5% for some grazing ruminants to >30% for some lactating dairy cows and fattening steers. Starch degradation by rumen microbes varies from <50% to >90% (Nocek and Tamminga, Reference Nocek and Tamminga1991). Starch that passes from the rumen can be digested to glucose in the intestine, which is absorbed and enters the circulation or is metabolized to lactate by intestinal tissues. Although increasing dietary starch can increase feed intake when cereal grains are substituted for forages by decreasing ruminal distention (Allen, Reference Allen1996), increased ruminal starch fermentability decreased feed intake by up to 3 kg/day in several experiments reported in the literature (Allen, Reference Allen2000). High-moisture corn decreased energy intake of cows in the postpartum period to a greater extent when fed in rations at higher starch concentrations (28% v. 22%) compared with less fermentable dry ground corn (Albornoz and Allen, Reference Albornoz and Allen2018). Hypophagic effects of a more fermentable starch source in lactating cows were from decreased meal size despite a decreased inter-meal interval, so satiety was likely caused by the absorption of propionate within the timeframe of meals (Oba and Allen, Reference Oba and Allen2003b).

Of the fuels available from the fermentation and digestion of starch, propionate is the most hypophagic. Intraruminal infusion of propionate decreased metabolizable energy intake compared with acetate (Oba and Allen, Reference Oba and Allen2003c), and propionic acid decreased metabolizable energy intake compared with isoenergetic infusion of glucose and reduced DMI compared with isoenergetic infusions of lactic acid when infused into the abomasum (Gualdrón-Duarte and Allen, Reference Gualdrón-Duarte and Allen2018). Intraruminal infusion of propionic acid reduced metabolizable energy intake by cows in the postpartum period compared with cows in mid-lactation (Oba and Allen, Reference Oba and Allen2003a). Although gluconeogenesis is upregulated for cows in the postpartum period, they were in a lipolytic state with elevated plasma BHB concentrations, whereas cows in mid-lactation were in positive energy balance with low plasma concentrations of BHB. Differences in plasma BHB concentrations likely reflect differences in the supply of AcCoA for hepatic oxidation, consistent with the greater hypophagic effects of propionic acid for cows in the postpartum period. In addition, the hypophagic effects of intraruminal infusions of propionic acid were related linearly with hepatic AcCoA concentrations for cows in the postpartum period (Stocks and Allen, Reference Stocks and Allen2012), and the effects were not attenuated over a 3-day intraruminal infusion (Stocks and Allen, Reference Stocks and Allen2013). It is noteworthy that propionate interacted with AcCoA in the liver to affect feed intake only during the first 4 h after feeding each day; daily DMI was reduced despite no effect of treatment on feed intake over the remaining 20 h (Stocks and Allen, Reference Stocks and Allen2013). This is likely because plasma NEFA concentrations are greatest prior to feeding and lowest several hours after feeding corresponding to the daily peak in plasma insulin concentrations for cows fed ad libitum once per day in the morning (Allen et al., Reference Allen, Bradford and Harvatine2005).

Chronic elevation of plasma insulin concentrations likely suppresses feed intake by decreasing cataplerosis, but pulsatile insulin secretion in response to feeding likely clears fuels from the blood more quickly, potentially increasing meal size or decreasing the interval between meals (Oba and Allen, Reference Oba and Allen2000). Concentrations of insulin and NEFA in plasma vary within days and are negatively related on a minute timescale (Figure 3). The depression in feed intake of lactating cows to a more fermentable diet was correlated positively to the insulin response to a glucose challenge; cows with a greater insulin response were better able to maintain feed intake on the more fermentable diet (Bradford and Allen, Reference Bradford and Allen2007). Postprandial pulses of insulin interrupt the supply of fuels to the liver by stimulating the uptake of fuels by insulin-sensitive tissues and inhibiting lipolysis in adipose issue. Consistent with this, feed intake over the first 4 h following feeding was highly variable among cows in the immediate postpartum period ranging from 3.7 to 9.6 kg and was positively related to the postprandial reduction of plasma NEFA concentrations which varied from 244 to 1158 µEq/l (Piantoni et al., Reference Piantoni, Ylioja and Allen2015). Because the change in hepatic AcCoA concentrations was positively correlated with the change in plasma NEFA concentrations, the difference in DMI among cows was likely related to differences in the supply of AcCoA derived from β-oxidation of NEFA, consistent with the HOT. Furthermore, because DMI was not related with plasma concentrations of glucose, insulin, NEFA and BHB, or hepatic concentrations of AcCoA before feeding, or to the change in plasma glucose, insulin or BHB over the 4-h period, the variation in DMI was likely because of differences in insulin resistance among cows.

Figure 3 Inverse relationship between plasma insulin (grey line) and non-esterified fatty acid (NEFA; black line) concentrations for an individual cow within a day. Cow was fed ad libitum, once per day with blood samples taken every 20 min for 24 h. Increased insulin during and following meals decreases the supply of NEFA for hepatic oxidation, while decreased insulin gradually increases NEFA supply following meals (Allen, Reference Allen2014 with permission).

The mobilization of tissue AA begins prepartum (Doepel et al., Reference Doepel, Lapierre and Kennelly2002; Kokkonen et al., Reference Kokkonen, Taponen, Anttila, Syrjala-Qvist, Delavaud, Chilliard, Tuori and Tesfa2005), and high-yielding dairy cows might mobilize up to 1 kg of tissue protein per day in the early postpartum period (Bell et al., Reference Bell, Burhans and Overton2000). Although AA are used for milk protein synthesis in the postpartum period (Aschenbach et al., Reference Aschenbach, Kristensen, Donkin, Hammon and Penner2010), excess AA and AA imbalances will result in deamination of AA, increasing anaplerosis and stimulating the oxidation of AcCoA, potentially suppressing feed intake (Allen, Reference Allen2014). A meta-analysis by Martineau et al. (Reference Martineau, Ouellet, Kebreab and Lapierre2016) showed that DMI of cows ranging from early to late lactation was reduced by abomasal infusion of casein when supply of metabolizable protein (MP) was positive but increased DMI of cows when MP balance was negative. When MP supply was positive, excess AA were likely deaminated, increasing anaplerosis and stimulating hepatic oxidation and satiety, whereas increased DMI by casein infusion when MP supply was negative might have been because of increased metabolic pull. Supplementation of rumen-protected methionine has had variable effects on DMI (Patton, Reference Patton2010; Zanton et al., Reference Zanton, Bowman, Vázquez-Añón and Rode2014), and Allen (Reference Allen2014) suggested that supplying limiting AA will likely decrease deamination of other AA and anaplerosis, potentially increasing DMI.

Gluconeogenesis is likely an important determinant of the temporal oxidation of fuels in the liver by increasing cataplerosis of the TCA cycle. The contribution of substrates to gluconeogenesis has been estimated to be propionate (60% to 75%), lactate (16% to 26%), alanine (5%) and other AA (8% to 11%), valerate and isobutyrate (5% to 6%) and glycerol (0.5% to 3%; Aschenbach et al., Reference Aschenbach, Kristensen, Donkin, Hammon and Penner2010). In the immediate postpartum period, the contribution of propionate to gluconeogenesis (∼60%) is less, and mostly endogenous lactate (∼26%) is greater than several weeks later in lactation; together, they account for over 85% of gluconeogenic substrates extracted from the blood by the liver (Aschenbach et al., Reference Aschenbach, Kristensen, Donkin, Hammon and Penner2010). Gluconeogenesis is upregulated in early lactation when plasma insulin concentration is low and gradually downregulated by elevated insulin concentrations (Barthel and Schmoll, Reference Barthel and Schmoll2003) as lactation advances and glucose demand decreases. However, excessive lipolysis in the peripartum period can result in hepatic steatosis, reducing gluconeogenesis (Zhu et al., Reference Zhu, Armentano, Bremmer, Grummer and Bertics2000). The depression of DMI by a diet containing a more rapidly fermentable starch source was correlated positively (r = 0.53, P < 0.01) with plasma insulin concentrations among cows past peak lactation, likely because gluconeogenesis was suppressed by insulin (Bradford and Allen, Reference Bradford and Allen2007). The downregulation of gluconeogenesis decreases cataplerosis, increasing the concentrations of TCA intermediates and TCA cycle capacity for oxidation.

More questions

Questions remain regarding the mechanism(s) by which oxidation of fuels by hepatocytes is conveyed to hepatic vagal afferent nerves as well as how hepatic oxidation can be manipulated to alter (increase or decrease) feed intake. Feeding behavior is controlled on a minute-to-minute basis, but little research has evaluated hepatic metabolism over the timeframe of meals. Comprehensive evaluation of metabolite concentrations and isotopic tracer studies are needed to better understand hepatic metabolism over the short term related to feeding behavior. Genetic differences in feed intake among animals have yet to be investigated for factors related to hepatic oxidation of fuels. Differences in the rate of uptake of NEFA from the blood by the liver, peroxisomal oxidation of FA, transport of FA into the mitochondria, rate of production and export of ketone bodies, and rate of hydrolysis of AcCoA and export of acetate from the liver might affect feed intake by their effects on hepatic oxidation. In addition, differences among animals or physiological states for insulin release or insulin sensitivity of adipose tissue might decrease lipolysis within meals, decreasing the supply of AcCoA for oxidation, increasing meal length and size.

Conclusion

Fuel supply to the liver is dependent upon the absorption of fuels derived from the diet as well as those supplied to or extracted from the blood by extrahepatic tissues. Hepatic oxidation of fuels varies with the needs of the liver over the long term as well as periprandially, affecting feeding behavior. Homeorhetic mechanisms affect the concentrations of insulin, glucagon, somatotropin and leptin, as well as insulin sensitivity of tissues, which interact with diet to affect hepatic oxidation by their effects on the supply of AcCoA, anaplerosis and cataplerosis. Therefore, mechanisms controlling energy intake and partitioning are multiple, entwined and inseparable and are affected by both diet and physiological state. The liver is likely a key sensor of energy status integrating homeostatic and homeorhetic mechanisms, offering the unique advantage of sensing not just energy availability but energy balance relative to nutrient demands.

Acknowledgements

The author gratefully acknowledges support from the Michigan State University AgBio- Research.

M. S. Allen 0000-0002-7289-6382

Declaration of interest

The author has no conflicts of interest.

Ethics statement

Not applicable.

Software and data repository resources

None.

References

Albornoz, RI and Allen, MS 2018. Highly fermentable starch at different diet starch concentrations decreases feed intake and milk yield of cows in the early postpartum period. Journal of Dairy Science 101, 89028915.CrossRefGoogle Scholar
Allen, MS 1996. Physical constraints on voluntary intake of forages by ruminants. Journal of Animal Science 74, 30633075.CrossRefGoogle ScholarPubMed
Allen, MS 2000. Effects of diet on short-term regulation of feed intake by lactating dairy cattle. Journal of Dairy Science 83, 15981624.CrossRefGoogle ScholarPubMed
Allen, MS 2014. Drives and limits to feed intake in ruminants. Animal Production Science 54, 15131524.CrossRefGoogle Scholar
Allen, MS and Bradford, BJ 2012. Control of food intake by metabolism of fuels – a comparison across species. Proceedings of the Nutrition Society 71, 401409.CrossRefGoogle Scholar
Allen, MS, Bradford, BJ and Harvatine, KJ 2005. The cow as a model to study food intake regulation. Annual Review of Nutrition 25, 523547.CrossRefGoogle ScholarPubMed
Allen, MS, Bradford, BJ and Oba, M 2009. Board-Invited Review: The hepatic oxidation theory of the control of feed intake and its application to ruminants. Journal of Animal Science 87, 33173334.CrossRefGoogle ScholarPubMed
Allen, MS and Piantoni, P 2014. Carbohydrate nutrition: managing energy intake and partitioning through lactation. Veterinary Clinics of North America Food Animal Practice 30, 577597.CrossRefGoogle ScholarPubMed
Anil, MH and Forbes, JM 1988. The roles of hepatic nerves in the reduction of food intake as a consequence of intraportal sodium propionate administration in sheep. Quarterly Journal of Experimental Physiology 73, 539546.CrossRefGoogle Scholar
Aschenbach, JR, Kristensen, NB, Donkin, SS, Hammon, HM and Penner, GB 2010. Gluconeogenesis in dairy cows: the secret of making sweet milk from sour dough. IUBMB Life 62, 869877.CrossRefGoogle ScholarPubMed
Ballard, FJ 1965. Glucose utilization in mammalian liver. Comparative Biochemistry and Physiology 14, 437443.CrossRefGoogle ScholarPubMed
Barthel, A and Schmoll, D 2003. Novel concepts in insulin regulation of hepatic gluconeogenesis. American Journal of Physiology – Endocrinology and Metabolism 285, E685692.CrossRefGoogle ScholarPubMed
Bauman, DE and Currie, WB 1980. Partitioning of nutrients during pregnancy and lactation: a review of mechanisms involving homeostasis and homeorhesis. Journal of Dairy Science 63, 15241529.CrossRefGoogle ScholarPubMed
Begum, N, Tepperman, HM and Tepperman, J 1983 Effects of high fat and high carbohydrate diets on liver pyruvate dehydrogenase and its activation by a chemical mediator released from insulin-treated liver particulate fraction: effect of neuraminidase treatment on the chemical mediator activity. Endocrinology 112, 5059.CrossRefGoogle ScholarPubMed
Bell, AW 1980. Lipid metabolism in the liver and selected tissues and in the whole body of ruminant animals. Progress in Lipid Research 18, 117164.CrossRefGoogle Scholar
Bell, AW and Bauman, DE 1997. Adaptations of glucose metabolism during pregnancy and lactation. Journal of Mammary Gland Biology and Neoplasia 2, 265278CrossRefGoogle ScholarPubMed
Bell, AW, Burhans, WS and Overton, WS 2000. Protein nutrition in late pregnancy, maternal protein reserves and lactation performance in dairy cows. Proceedings of the Nutrition Society 59, 119126.CrossRefGoogle ScholarPubMed
Bobe, G, Sonon, RN, Ametaj, BN, Young, JW and Beitz, DC 2003. Metabolic responses of lactating dairy cows to single and multiple subcutaneous injections of glucagon. Journal of Dairy Science 86, 20722081CrossRefGoogle ScholarPubMed
Boisclair, YR, Bauman, DE, Bell, AW, Dunshea, FR and Harkins, M 1994. Nutrient utilization and protein turnover in the hindlimb of cattle treated with bovine somatotropin. The Journal of Nutrition 124, 664673CrossRefGoogle ScholarPubMed
Bradford, BJ and Allen, MS 2007. Depression in feed intake by a highly fermentable diet is related to plasma insulin concentration and insulin response to glucose infusion. Journal of Dairy Science 90, 38383845CrossRefGoogle ScholarPubMed
Bradford, BJ, Oba, M, Ehrhardt, RA, Boisclair, YR and Allen, MS 2006. Propionate is not an important regulator of plasma leptin in dairy cows. Domestic Animal Endocrinology 30, 6575.CrossRefGoogle ScholarPubMed
Brockman, RP 1976. Effects of glucagon and insulin on lipolysis and ketogenesis in sheep. Canadian Journal of Comparative Medicine 40, 166170.Google Scholar
Brockman, RP 1978. Roles of glucagon and insulin in the regulation of metabolism in ruminants. Canadian Veterinary Journal 19, 5562.Google ScholarPubMed
Brockman, RP and Laarveld, B 1986. Hormonal regulation of metabolism in ruminants; a review. Livestock Production Science 14, 313334CrossRefGoogle Scholar
Choi, BR and Allen, MS 1999. Intake regulation by volatile fatty acids and physical fill. South African Journal of Animal Science 29(ISRP), 4041.Google Scholar
Conrad, HR, Pratt, AD and Hibbs, JW 1964. Regulation of feed intake in dairy cows. I. Change in importance of physical and physiological factors with increasing digestibility. Journal of Dairy Science 47, 5462.CrossRefGoogle Scholar
Del Prete, E, Lutz, TA and Scharrer, E 2004. Inhibition of glucose oxidation by alpha-cyano-4-hydroxycinnamic acid stimulates feeding in rats. Physiology and Behavior 80, 489498.CrossRefGoogle ScholarPubMed
Derno, M, Nurnberg, G, Schon, P, Schwarm, A, Rontgen, M, Hammon, HM, Metges, CC, Bruckmaier, RM and Kuhla, B 2013. Short-term feed intake is regulated by macronutrient oxidation in lactating Holstein cows. Journal of Dairy Science 96, 971980.CrossRefGoogle ScholarPubMed
Doepel, L, Lapierre, H and Kennelly, JJ. 2002. Peripartum performance and metabolism of dairy cows in response to prepartum energy and protein intake. Journal of Dairy Science 85, 23152334.CrossRefGoogle ScholarPubMed
Donkin, SS and Armentano, LE 1995. Insulin and glucagon regulation of gluconeogenesis in preruminating and ruminating bovine. Journal of Animal Science 73, 546551.CrossRefGoogle ScholarPubMed
Ehrhardt, RA, Foskolos, A, Giesy, SL, Wesolowski, SR, Krumm, CS, Butler, WR, Quirk, SM, Waldron, MR and Boisclair, YR 2016. Increased plasma leptin attenuates adaptive metabolism in early lactating dairy cows. Endocrinology 229, 146157Google ScholarPubMed
Ehrhardt, RA, Slepetis, RM, VanAmburgh, ME, Siegal-Willot, J, Bell, AW and Boisclair, YR 2000. Development of a specific RIA to measure physiological changes of circulating leptin in cattle and sheep. Journal of Endocrinology 166, 519528.CrossRefGoogle Scholar
Emilsson, V, Liu, Y, Cawthorne, MA, Morton, NM and Davenport, M 1997. Expression of the functional leptin receptor mRNA in pancreatic islets and direct inhibitory action of leptin on insulin secretion. Diabetes 46, 313316.CrossRefGoogle ScholarPubMed
Etherton, TD and Bauman, DE 1998. Biology of somatotropin in growth and lactation of domestic animals. Physiological Reviews 78, 745761.CrossRefGoogle ScholarPubMed
Forbes, JM 1988. Metabolic aspects of the regulation of voluntary food intake and appetite. Nutrition Research Reviews 1, 145168.CrossRefGoogle ScholarPubMed
Friedman, MI 1997. An energy sensor for control of energy intake. Proceedings of the Nutrition Society 56, 4150.CrossRefGoogle ScholarPubMed
Friedman, MI 1998. Fuel partitioning and food intake. American Journal of Clinical Nutrition 67, 513S518S.CrossRefGoogle ScholarPubMed
Friedman, MI and Tordoff, MG 1986. Fatty acid oxidation and glucose utilization interact to control food intake in rats. American Journal of Physiology 51, R840845.Google Scholar
Fu, J, Gaetani, S, Oveisi, F, Lo Verme, J, Serrano, A, Rodríguez De Fonseca, F, Rosengarth, A, Luecke, H, Di Giacomo, B, Tarzia, G and Piomelli, D 2003. Oleylethanolamide regulates feeding and body weight through activation of the nuclear receptor PPAR-alpha. Nature 425, 9093.CrossRefGoogle ScholarPubMed
Fu, J, Oveisi, F, Gaetani, S, Lin, E and Piomelli, D 2005. Oleoylethanolamide, an endogenous PPAR-α agonist, lowers body weight and hyperlipidemia in obese rats. Neuropharmacology 48, 11471153.CrossRefGoogle ScholarPubMed
Fu, Z, Gilbert, ER and Liu, D 2013. Regulation of insulin synthesis and secretion and pancreatic beta-cell dysfunction in diabetes. Current Diabetes Reviews 9, 2553CrossRefGoogle ScholarPubMed
Garnsworthy, PC and Topps, JH 1982. The effect of body condition of dairy cows at calving on their food intake and performance when given complete diets. Animal Production 35, 113119.Google Scholar
Giesy, SL, Yoon, B, Currie, WB, Kim, JW and Boisclair, YR 2012 Adiponectin deficit during the precarious glucose economy of early lactation in dairy cows. Endocrinology 153, 58345844.CrossRefGoogle ScholarPubMed
Grant, RJ and Albright, JL 2000. Feeding behaviour. In Farm Animal Metabolism and Nutrition (ed. D’Mello, JPF 2000. Feeding behaviour. In Farm Animal Metabolism and Nutrition (ed. ), pp. 365382. CABI Publishing, Wallingford, UK.CrossRefGoogle Scholar
Gualdrón-Duarte, LB and Allen, MS 2017. Increased anaplerosis of the tricarboxylic acid cycle decreased meal size and energy intake of cows in the postpartum period. Journal of Dairy Science 100, 44254434.CrossRefGoogle ScholarPubMed
Gualdrón-Duarte, LB and Allen, MS 2018. Fuels derived from starch digestion have different effects on energy intake and metabolic responses of cows in the postpartum period. Journal of Dairy Science 101, 50825091.CrossRefGoogle ScholarPubMed
Harris, RBS 2014. Direct and indirect effects of leptin on adipocyte metabolism 2014. Biochimica Biophysica Acta 1842, 414423.CrossRefGoogle Scholar
Heitmann, RN and Bergman, EN 1980. Integration of amino acid metabolism in sheep: effects of fasting and acidosis. American Journal of Physiology 239, E248E254.Google ScholarPubMed
Horn, C, Ji, H and Friedman, M 2004. Etomoxir, a fatty acid oxidation inhibitor, increases food intake and reduces hepatic energy status in rats. Physiology & Behavior 81, 157162.CrossRefGoogle ScholarPubMed
Houseknecht, KL, Baile, CA, Matteri, RL and Spurlock, ME 1998. The biology of leptin: a review. Journal of Dairy Science 76, 14051420.Google ScholarPubMed
Houseknecht, KL, Bauman, DE, Vernon, RG, Byatt, JC and Collier, RJ 1996. Insulin-like growth factors I and II, somatotropin, prolactin and placental lactogen are not acute effectors of lipolysis in ruminants. Domestic Animal Endocrinology 13, 239249.CrossRefGoogle Scholar
Ingvartsen, KL and Andersen, JB 2000. Integration of metabolism and intake regulation: a review focusing on periparturient animals. Journal of Dairy Science 83, 15731597.CrossRefGoogle ScholarPubMed
Kadokawa, H, Blache, D, Yamada, Y and Martin, GB 2000. Relationships between changes in plasma concentrations of leptin before and after parturition and the timing of first post-partum ovulation in high-producing Holstein dairy cows. Reproduction, Fertility and Development 12, 405411.CrossRefGoogle ScholarPubMed
Kahn, BB and Flier, JS 2000. Obesity and insulin resistance. The Journal of Clinical Investigation 106, 4734812.CrossRefGoogle ScholarPubMed
Kahn, CR 1978. Insulin resistance, insulin insensitivity, and insulin unresponsiveness: a necessary distinction. Metabolism 27(12 suppl. 2), 1893–902.CrossRefGoogle ScholarPubMed
Kayusa, W, 2016. Secretory pattern and regulatory mechanism of growth hormone in cattle. Animal Science Journal 87, 178182CrossRefGoogle Scholar
Kennedy, GC 1953. The role of depot fat in the hypothalamic control of food intake in the rat. Proceedings of the Royal Society of London B: Biological Sciences 140, 578592.Google ScholarPubMed
Kieffer, TJ, Heller, RS, Leech, CA, Holz, GG and Habener, JF 1997. Leptin suppression of insulin secretion by the activation of ATP-sensitive K+ channels in pancreatic beta-cells. Diabetes 46, 10871093.CrossRefGoogle ScholarPubMed
Kokkonen, T, Taponen, J, Anttila, T, Syrjala-Qvist, L, Delavaud, C, Chilliard, Y, Tuori, M and Tesfa, AT 2005. Effect of body fatness and glucogenic supplement on lipid and protein mobilization and plasma leptin in dairy cows Journal of Dairy Science 88, 11271141CrossRefGoogle ScholarPubMed
Koprowski, JA and Tucker, HA 1973. Bovine serum growth hormone, corticoids and insulin during lactation. Endocrinology 93, 645651.CrossRefGoogle ScholarPubMed
Kuhla, B, Metges, CC and Hammond, HM 2016. Endogenous and dietary lipids influencing feed intake and energy metabolism of periparturient dairy cows. Domestic Animal Endocrinology 56, S2S10CrossRefGoogle ScholarPubMed
Kushibiki, S, Hodate, K, Shingu, H, Ueda, Y, Mori, Y, Itoh, T and Yokomizo, Y 2001. Effects of long-term administration of recombinant bovine tumor necrosis factor-alpha on glucose metabolism and growth hormone secretion in steers. American Journal of Veterinary Research 62, 794798.CrossRefGoogle ScholarPubMed
Langhans, W 1996. Role of the liver in the metabolic control of eating: what we know–and what we do not know. Neuroscience and Biobehavioral Reviews 20, 145153.CrossRefGoogle Scholar
Langhans, W, Egli, G and Scharrer, E 1985. Selective hepatic vagotomy eliminates the hypophagic effect of different metabolites. Journal of the Autonomic Nervous System 13, 255262.CrossRefGoogle ScholarPubMed
Le Marchand-Brustel, Y, Gual, P, Grémeaux, T, Gonzalez, T, Barrès, R and Tanti, JF 2003. Fatty acid-induced insulin resistance: role of insulin receptor substrate 1 serine phosphorylation in the retroregulation of insulin signalling. Biochemical Society Transactions 31, 11521156.CrossRefGoogle ScholarPubMed
Li, G, Hernandez-Ono, A, Crooke, RM, Graham, MJ and Ginsberg, HN 2011. Effects of antisense-mediated inhibition of 11β-hydroxysteroid dehydrogenase type 1 on hepatic lipid metabolism. Journal of Lipid Research 52, 971981.CrossRefGoogle ScholarPubMed
Lobley, GE 1992. Control of the metabolic fate of amino acids in ruminants: a review. Journal of Animal Science 70, 32643275.CrossRefGoogle ScholarPubMed
Manns, JG and Boda, JM 1967. Insulin release by acetate, propionate, butyrate, and glucose in lambs and adult sheep. American Journal of Physiology 212, 747755CrossRefGoogle ScholarPubMed
Martineau, R, Ouellet, DR, Kebreab, E. and Lapierre, H.. 2016. Casein infusion rate influences feed intake differently depending on metabolizable protein balance in dairy cows: a multilevel meta-analysis. Journal of Dairy Science 99, 27482761.CrossRefGoogle ScholarPubMed
Mbanya, JN, Anil, MH and Forbes, JM 1993. The voluntary intake of hay and silage by lactating cows in response to ruminal infusion of acetate or propionate, or both, with or without distension of the rumen by a balloon. British Journal of Nutrition 69, 713720.CrossRefGoogle ScholarPubMed
Myers, MG, Heymsfield, SB, Haft, C, Kahn, BB, Laughlin, M, Leibel, RL, Tschöp, MH and Yanovski, JA 2012. Defining clinical leptin resistance – challenges and opportunities of defining clinical leptin resistance. Cell Metabolism 15, 150156CrossRefGoogle ScholarPubMed
Nocek, JE and Tamminga, S 1991. Site of digestion of starch in the gastrointestinal tract of dairy cows and its effect on milk yield and composition. Journal of Dairy Science 74, 35983629.CrossRefGoogle ScholarPubMed
Novin, D, VanderWeele, DA and Rezek, M 1973. Infusion of 2-deoxy-D-glucose into the hepatic-portal system causes eating: evidence for peripheral glucoreceptors. Science 181, 858860.CrossRefGoogle ScholarPubMed
Oba, M and Allen, MS 2000. Effects of brown midrib 3 mutation in corn silage on productivity of dairy cows fed two concentrations of dietary neutral detergent fiber: 1. Feeding behavior and nutrient utilization. Journal of Dairy Science 83, 13331341.CrossRefGoogle ScholarPubMed
Oba, M and Allen, MS 2003a. Dose-response effects of intraruminal infusion of propionate on feeding behavior of lactating cows in early or mid lactation. Journal of Dairy Science 86, 29222931.CrossRefGoogle ScholarPubMed
Oba, M and Allen, MS 2003b. Effects of corn grain conservation method on feeding behavior and productivity of lactating dairy cows at two dietary starch concentrations. Journal of Dairy Science 86, 174183.CrossRefGoogle ScholarPubMed
Oba, M and Allen, MS 2003c. Intra-ruminal infusion of propionate alters feeding behavior and decreases energy intake of lactating dairy cows. Journal of Nutrition 133, 10941099.CrossRefGoogle Scholar
Ohtsuka, H, Koiwa, M, Hatsugaya, A, Kudo, K, Hoshi, F, Itoh, N, Yokota, H, Okada, H and Kawamura, S 2001. Relationship between serum TNF activity and insulin resistance in dairy cows affected with naturally occurring fatty liver. Journal of Veterinary Medical Science 63, 10211025.CrossRefGoogle ScholarPubMed
Patton, RA 2010. Effect of rumen-protected methionine on feed intake, milk production, true milk protein concentration, and true milk protein yield, and the factors that influence these effects: a meta-analysis. Journal of Dairy Science 93, 21052118.CrossRefGoogle ScholarPubMed
Pelleymounter, MA, Cullen, MJ, Baker, MB, Hecht, R, Winters, D, Boone, T and Collins, F 1995. Effects of the obese gene product on body weight regulation in ob/ob mice. Science 269, 540543.CrossRefGoogle ScholarPubMed
Petersen, KF, Cline, GW, Blair, JB and Shulman, GI. 1994. Substrate cycling between pyruvate and oxaloacetate in awake normal and 3,3′-5-triiodo-l-thyronine-treated rats. American Journal of Physiology Endocrinology and Metabolism 267, E273E277.CrossRefGoogle ScholarPubMed
Piantoni, P, Ylioja, CM and Allen, MS 2015. Feed intake is related to changes in plasma non-esterified fatty acid concentration and hepatic acetyl CoA content following feeding in lactating dairy cows. Journal of Dairy Science 98, 68396847.CrossRefGoogle ScholarPubMed
Reynolds, CK, Dürst, B, Lupoli, B, Humphries, DJ, Beever, DJ 2004. Visceral tissue mass and rumen volume in dairy cows during the transition from late gestation to early lactation. Journal of Dairy Science 87, 961971.CrossRefGoogle ScholarPubMed
Ricks, CA and Cook, RM 1981. Regulation of volatile fatty acid uptake by mitochondrial acyl CoA synthetases of bovine liver. Journal of Dairy Science 64, 23242335.CrossRefGoogle ScholarPubMed
Roche, JR, Blache, D, Kay, JK, Miller, DR, Sheahan, AJ and Miller, DW 2008. Neuroendocrine and physiological regulation of intake with particular reference to domesticated ruminant animals. Nutrition Research Reviews 21, 207234.CrossRefGoogle ScholarPubMed
Schäff, C, Börner, S, Hacke, S, Kautzsch, U, Albrecht, D, Hammon, HM, Röntgen, M and Kuhla, B 2012. Increased anaplerosis, TCA cycling, and oxidative phosphorylation in the liver of dairy cows with intensive body fat mobilization during early lactation. Journal of Proteome Research 11, 55035514.CrossRefGoogle ScholarPubMed
Scharrer, E 1999. Control of food intake by fatty acid oxidation and ketogenesis. Nutrition 15, 704714.CrossRefGoogle ScholarPubMed
Scharrer, E and Langhans, W 1986. Control of food intake by fatty acid oxidation. American Journal of Physiology 250, R10031006.Google ScholarPubMed
Stocks, SE and Allen, MS 2012. Hypophagic effects of propionate increase with elevated hepatic acetyl CoA concentration of cows in the early postpartum period. Journal of Dairy Science 95, 32593268.CrossRefGoogle ScholarPubMed
Stocks, SE and Allen, MS 2013. Hypophagic effects of propionic acid are not attenuated during a 3-day infusion in the early postpartum period in Holstein cows. Journal of Dairy Science 96, 46154623.CrossRefGoogle Scholar
Taggart, AK, Kero, J, Gan, X, Cai, TQ, Cheng, K, Ippolito, M, Ren, N, Kaplan, R, Wu, K, Wu, TJ, Jin, L, Liaw, C, Chen, R, Richman, J, Connolly, D, Offermanns, S, Wright, SD and Waters, MG 2005. (D)-beta-Hydroxybutyrate inhibits adipocyte lipolysis via the nicotinic acid receptor PUMA-G. Journal of Biological Chemistry 280, 2664926652.CrossRefGoogle ScholarPubMed
Vernon, RG 1980. Lipid metabolism in the adipose tissue of ruminant animals. Progress in Lipid Research 19, 23106.CrossRefGoogle ScholarPubMed
Yang, Q, Vijayakumar, A, and Kahn, BB. 2018. Metabolites as regulators of insulin sensitivity and metabolism. Nature Reviews Molecular Cell Biology 19, 654672CrossRefGoogle ScholarPubMed
Zanton, GI, Bowman, GR, Vázquez-Añón, M and Rode, LM 2014. Meta-analysis of lactation performance in dairy cows receiving supplemental dietary methionine sources or postruminal infusion of methionine. Journal of Dairy Science 97, 70857101.CrossRefGoogle ScholarPubMed
Zhu, LH, Armentano, LE, Bremmer, DR, Grummer, RR and Bertics, SJ 2000. Plasma concentration of urea, ammonia, glutamine around calving, and the relation of hepatic triglyceride, to plasma ammonia removal and blood acid-base balance. Journal of Dairy Science 83, 734–40.CrossRefGoogle ScholarPubMed
Figure 0

Figure 1 Flow of potential metabolic fuels in ruminant animals. (1) Short-chain fatty acids (FA) produced by ruminal fermentation (e.g. acetate, propionate, butyrate, etc.) as well as glucose, lactate, amino acids, and medium-chain FA flow to the liver from the portal-drained viscera. The type and temporal absorption of potential fuels is dependent upon diet composition and digestion kinetics affecting the site of digestion. Extraction by the liver varies by fuel and over time depending upon enzyme activities and redox state of the liver. Little glucose and acetate are extracted by ruminant liver, sparing them for use by extrahepatic tissues. Propionate extraction from portal blood is high, but extraction of other fuels is lower and variable. (2) Long-chain FA are absorbed in the lymphatic system. (3) Fuels released from the liver include glucose, β-hydroxybutyrate (BHB), acetate, amino acids (AA) and very-low-density lipoproteins. Fuels extracted by the liver from circulating blood include non-esterified FA (NEFA), glycerol, lactate and AA. When AA are supplied in excess, and when AA profile diverges from optimal, their oxidation and use for anaplerosis increases. Glucose output by the liver into the blood is affected by its demand by tissues and controlled primarily by insulin and glucagon. (4) Milk synthesis by the mammary gland is a sink for potential fuels, including glucose, NEFA, acetate, butyrate and AA. Removal of these fuels from the blood likely promotes intake by reducing their availability for oxidation in the liver. (5) Adipose tissue extracts acetate, glucose and NEFA from the blood during lipogenesis and mobilizes triacylglycerol, increasing the availability of NEFA and glycerol for hepatic oxidation. (6) Muscle tissue utilizes glucose, acetate, glycerol, BHB and NEFA as fuels, and AA for protein synthesis. Amino acids are mobilized during negative energy balance, increasing their availability as fuels following deamination, although anaplerosis of glucogenic AA decreases their oxidation compared with ketogenic AA. Lactate from partial metabolism of glucose by the muscle is available for gluconeogenesis or oxidation in the liver (adapted from Allen, 2014 with permission).

Figure 1

Table 1 Relative status of characteristics related to the control of feed intake at different stages of lactation in cattle

Figure 2

Figure 2 Effects of diet and physiological state on hepatic concentrations of acetyl CoA (AcCoA) and the tricarboxylic acid (TCA) cycle intermediates in ruminant animals. (1) The primary source of AcCoA is β-oxidation of non-esterified fatty acids (NEFA) extracted from the blood. (2) Other sources of AcCoA include amino acids (AA), lactate, glycerol, butyrate and medium-chain FA. (3) AcCoA enters the TCA cycle for oxidation combining with oxaloacetate (OAA) to form citrate. Acetyl CoA is also (4) used in biosynthetic reactions, (5) exported as ketone bodies and (6) hydrolyzed to acetate and released into the bloodstream. The oxidation of AcCoA in the TCA cycle is dependent upon the supply of OAA produced from TCA intermediates. The concentration of TCA intermediates is determined by the balance between anaplerosis and cataplerosis. (7) Anaplerotic metabolites include those of dietary origin, including propionate, glucogenic AA, lactate and glycerol, as well as endogenous sources including lactate, glucogenic AA and glycerol. The rate of anaplerosis by metabolites of dietary origin is highly variable depending upon the diet and the kinetics of digestion and passage. Propionate entry is pulsatile post-prandially as it can be produced, absorbed and extracted from the blood very quickly within the time-course of meals. Other anaplerotic metabolites derived from the diet (e.g. glucogenic AA, lactate) are absorbed post-ruminally with a greater latency for absorption and likely contribute to anaplerosis between meals. (8) Cataplerosis decreases the concentration of TCA intermediates, which are used for gluconeogenesis and other biosynthetic reactions.

Figure 3

Figure 3 Inverse relationship between plasma insulin (grey line) and non-esterified fatty acid (NEFA; black line) concentrations for an individual cow within a day. Cow was fed ad libitum, once per day with blood samples taken every 20 min for 24 h. Increased insulin during and following meals decreases the supply of NEFA for hepatic oxidation, while decreased insulin gradually increases NEFA supply following meals (Allen, 2014 with permission).