Abstract
Dairy cows are often fed a high-concentrate (HC) diet to meet lactation demands; however, long-term concentrate feeding is unhealthy and decreases milk fat. Therefore, we investigated the effects of liver lipid metabolism on milk fat synthesis. Ten lactating Holstein cows were assigned randomly into HC and LC (low-concentrate) diet groups. After 20 weeks of feeding, milk fat declined, and lipopolysaccharide levels in the jugular, portal, and hepatic veins increased in the HC group. Liver consumption and release of nonesterified fatty acid (NEFA) into the bloodstream also decreased. AMP-activated protein kinase alpha (AMPKα) was up-regulated significantly in the livers of the HC-fed cows. The HC diet also up-regulated the expression of the transcription factor peroxisome proliferator-activated receptor α (PPARα) and its downstream targets involved in fatty acid oxidation, including carnitine palmitoyltransferase-1,2 (CPT-1, CPT-2), liver-fatty acid-binding protein (L-FABP), and acyl-CoA oxidase (ACO). The HC diet increased blood glucagon (GC) levels, and liver glucagon receptor (GCGR) expression was elevated. Cumulatively, a long-term HC diet decreased plasma concentrations of NEFA via the GC/GCGR-AMPK-PPARα signalling pathway and reduced their synthesis in the liver. The decreased NEFA concentration in the blood during HC feeding may explain the decline in the milk fat of lactating cows.
In the dairy industry, it is currently common practice to feed a high-concentrate (HC) diet to lactating cows to meet their energy requirements and support high milk production. However, long-term HC feeding is harmful to the health of ruminants and leads to a decrease in milk quality1. It has been reported that the feeding of HC diets to lactating cows results in the release of lipopolysaccharide (LPS) from the rumen or hindgut2,3. Previous studies have shown that free LPS can translocate into the bloodstream from the digestive tract under conditions of high permeability and after injury to the liver tissue4. In addition, LPS challenge can induce hepatic oxidative injury by changing the glutathione (GSH) and superoxide dismutase (SOD) enzyme activities5,6.
Milk fat is an important nutritional ingredient of milk that is beneficial to human health. However, long-term feeding with an HC diet induces a reduction in milk fat7. Triglycerides (TG) are the main component of milk fat and are synthesized using fatty acids and α-glycerophosphate in mammary epithelial cells8. The uptake of nonesterified fatty acid (NEFA) components by mammary glands is affected by their concentrations in the blood. Previous studies have shown that with an increasing NEFA content in the blood, the absorbed quantity applied to milk fat synthesis was also elevated in mammary cells9. Therefore, the substrate precursor of NEFA plays a crucial physiological role in milk fat synthesis. Nutrients required for milk synthesis must be transported from the rumen and gut to the liver to undergo metabolic conversion. In ruminants, the liver is the major site of gluconeogenesis and lipid metabolism, which provides the substrate precursors to the mammary gland for milk production. Liver lipid synthesis and lipidolysis rely on the absorption and utilization of NEFA in the blood10,11. NEFA are transported through the hepatic portal vein into the liver, where they are metabolized. Then, they exit the liver through the hepatic vein, where they are taken up into the blood.
Several studies have noted that an HC diet leads to a decrease in milk fat. In addition, our previous study showed that the expression profiles of genes involved in the inflammatory response and lipid metabolism in the liver were altered significantly in ruminants after feeding with an HC diet12. However, the mechanism of the relationship between liver lipid metabolism and milk fat depression is largely unknown in ruminants fed HC diets for long periods of time. Therefore, the objective of this study was to investigate the potential mechanisms in the liver that contribute to the input of substrate precursors to the mammary gland after feeding an HC diet to lactating cows.
Results
There were no differences in the plasma biochemical parameters of the two groups of cows before the experiment
To confirm whether the two groups of cows had the same genetic background, we quantified the plasma biochemical parameters of the dairy cows before the experiment. The concentrations of total protein, albumin, globulin, glutamic-oxaloacetic transaminase (GOT), glutamic-pyruvic transaminase (GPT), alkaline phosphatase (ALP), lactic dehydrogenase (LDH), glucose, total cholesterol, high-density lipoprotein (HDL), low-density lipoprotein (LDL), and TG in the plasma samples from the two groups of cows were not different (Table 1).
Table 1. Plasma biochemical parameters of the two groups of cows before the experiment.
Item | Treatment | p-value | |
---|---|---|---|
Control | High concentrate | ||
Total protein (g/L) | 90.9 ± 5.0 | 88.7 ± 4.7 | 0.27 |
Albumin (g/L) | 25.0 ± 1.10 | 26.0 ± 1.3 | 0.31 |
Globulin (g/L) | 66.0 ± 4.6 | 63.0 ± 3.8 | 0.20 |
GOT (U/L) | 64.0 ± 7.82 | 65.0 ± 6.65 | 0.12 |
GPT (U/L) | 23.0 ± 3.61 | 24.0 ± 2.03 | 0.24 |
ALP (U/L) | 43.04 ± 4.80 | 39.6 ± 4.70 | 0.09 |
LDH (U/L) | 923.3 ± 49 | 901.0 ± 33.5 | 0.22 |
Glucose (mmol/L) | 3.08 ± 0.17 | 3.13 ± 0.26 | 0.11 |
Total cholesterol (mmol/L) | 1.98 ± 0.56 | 1.83 ± 0.59 | 0.14 |
HDL (mmol/L) | 1.57 ± 0.41 | 1.43 ± 0.42 | 0.21 |
LDL (mmol/L) | 0.13 ± 0.04 | 0.11 ± 0.01 | 0.12 |
Triglyceride (mmol/L) | 0.10 ± 0.01 | 0.11 ± 0.05 | 0.11 |
Data are presented as the means ± SEM (n = 5/group).
The milk yield and milk composition in the lactating cows fed the low-concentrate (LC) and HC diets
Different diets had no influence on the dry matter intake (DMI) of cows. However, the milk protein and fat content in the HC cows were significantly lower than those of the LC cows (p < 0.05). In addition, within 20 weeks of treatment, the milk yield and lactose were higher in the HC cows than that in the LC cows (Table 2).
Table 2. Dry matter intake (DMI), milk yield, and milk composition in dairy cows fed low- and high-concentrate diets.
Item | Treatment | p-value | |
---|---|---|---|
Control | High concentrate | ||
DMI, kg/d | 16.00 ± 0.28 | 15.70 ± 1.33 | 0.82 |
Milk | |||
Yield, kg/d | 10.93 ± 1.08 | 14.29 ± 0.41 | 0.10 |
Fat content, % | 3.94 ± 0.08 | 3.24 ± 0.12 | 0.03* |
Fat yield, g/d | 429.00 ± 32.82 | 462.50 ± 29.50 | 0.54 |
Protein, % | 3.40 ± 0.01 | 3.02 ± 0.05 | 0.05* |
Protein, g/d | 372.00 ± 36.76 | 431.00 ± 19.00 | 0.32 |
Lactose,% | 4.55 ± 0.19 | 4.62 ± 0.18 | 0.81 |
Data are presented as the means ± SEM (n = 5/group). *p < 0.05 indicates statistically significant differences when compared with the control group.
HC diet increased the concentrations of LPS in the jugular, hepatic and portal vein plasma
The LPS concentrations in the portal and hepatic veins were significantly increased in the HC cows compared with those in the LC group (p < 0.05). Additionally, we also investigated the LPS concentration in the jugular vein and found that it was significantly higher in the HC cows compared with the levels in the LC cows (p < 0.05, Table 3).
Table 3. Lipopolysaccharide (LPS) concentrations in the jugular, portal, and hepatic veins of lactating cows from treatment and control groups.
LPS (EU/mL) | Control | High concentrate | p-value |
---|---|---|---|
Jugular | 0.24 ± 0.04 | 0.62 ± 0.03 | 0.061* |
Hepatic vein | 0.21 ± 0.05 | 0.60 ± 0.03 | 0.025* |
Portal vein | 0.30 ± 0.02 | 0.95 ± 0.05 | 0.034* |
Data are presented as the means ± SEM (n = 5/group). *p < 0.05 indicates statistically significant differences when compared with the control group.
An HC diet increased the consumption of TG and NEFA in the liver
We next examined nutrition substances in the plasma obtained from the hepatic and portal veins of both treatment groups. We calculated the ratio of portal vein levels:hepatic vein levels (H-P). If H-P > 0, it indicated that more nutrition substances were produced in the liver than entered the blood. Conversely, if H-P < 0, it indicated that nutrition substances were consumed in the liver. Our measurements showed that TG (p < 0.01) and NEFA (p < 0.05) were significantly lower in HC cows when compared with LC cows. The total cholesterol was consumed in the livers of both HC and LC cows. These findings suggested that more milk fat precursors were consumed in the livers of HC cows (Table 4). In addition, we observed that the liver TG content was significantly lower in the HC cows (p < 0.05). This measurement indicates that the TG content was decreased in the liver (Fig. 1).
Table 4. Effect of an HC diet on plasma indicators in lactating cows.
Treatment | p-value | ||
---|---|---|---|
Control | High concentrate | ||
Hepatic vein (H) | |||
Triglyceride (mmol/L) | 0.11 ± 0.02 | 0.14 ± 0.03 | 0.423 |
Nonesterified fatty acid (mmol/L) | 0.81 ± 0.21 | 0.33 ± 0.02 | 0.082 |
Total cholesterol (mmol/L) | 1.86 ± 0.40 | 2.28 ± 0.18 | 0.401 |
Portal vein (P) | |||
Triglyceride (mmol/L) | 0.11 ± 0.01 | 0.22 ± 0.03 | 0.02* |
Nonesterified fatty acid (mmol/L) | 0.76 ± 0.20 | 0.57 ± 0.02 | 0.38 |
Total cholesterol (mmol/L) | 2.20 ± 0.43 | 2.62 ± 0.33 | 0.47 |
(H-P) | |||
Triglyceride (mmol/L) | 0.00 ± 0.02 | −0.08 ± 0.00 | 0.006** |
Nonesterified fatty acid (mmol/L) | 0.04 ± 0.051 | −0.24 ± 0.042 | 0.013* |
Total cholesterol (mmol/L) | −0.01 ± 0.03 | −0.47 ± 0.13 | 0.072 |
1H-P > 0 represents a lower nutritional substance concentration in the portal vein blood but a higher nutritional substance concentration in the hepatic vein blood, which indicates that the nutritional substances were produced in the liver.
2H-P < 0 represents a higher nutritional substance concentration in the portal vein blood but a lower nutritional substance concentration in the hepatic vein blood, which indicates that the nutritional substances were consumed by the liver. Data are presented as the means ± SEM (n = 5/group), *p < 0.05 indicates statistically significant differences when compared with the control group. **p < 0.01 indicates highly statistically significant differences when compared with the control group.
HC diet treatment regulated key enzymes required for lipid metabolism in the livers of dairy cows
Sterol regulatory element-binding protein-1c (SREBP-1c) is a key regulator of intracellular lipid metabolism, including uptake and synthesis in the liver. Therefore, we examined the expression of SREBP-1c mRNA and some of its known downstream targets in HC and LC cows (Fig. 2A–D). We found that SREBP-1c expression in the HC cows was significantly lower than in the LC cows (p < 0.05, Fig. 2A). The expression levels of downstream targets of SREBP-1c, such as stearoyl-CoA desaturase 1 (SCD-1), acetyl-CoA carboxylase 1 (ACC1) and fatty acid synthetase (FAS), were also decreased in the HC cows (Fig. 2B–D). In particular, FAS and ACC1 expression levels in the HC cows were significantly lower than in the LC cows (p < 0.05). Peroxisome proliferator-activated receptor α (PPARα) is a key transcription factor that controls intracellular lipid oxidation, likely by regulating carnitine palmitoyltransferase-1 (CPT-1), carnitine palmitoyltransferase-2 (CPT-2), liver-fatty acid binding protein (L-FABP), and acyl-CoA oxidase (ACO), enzymes required for NEFA oxidation in the liver. We found that the mRNA expression levels of PPARα, CPT-1, L-FABP and ACO were significantly increased in the HC cows compared with the LC cows (p < 0.05). However, CPT-2 expression in the HC cows was not significantly different from that in the LC controls (Fig. 2E–I).
HC diet treatment modulated the AMPK-PPARα signalling pathway
During the course of our earlier experiments, we observed that glucagon (GC) levels in the plasma were significantly higher in HC cows (p < 0.05, Fig. 3A). However, we also found that plasma insulin (INS) was significantly lower in HC cows compared with LC cows (p < 0.05, Fig. 3A). To further explore a potential mechanism for how the HC diet regulates the expression of key liver enzymes, we examined the activity of the AMPK signalling pathway. The mRNA expression level of the glucagon receptor (GCGR) was significantly higher in the HC cows compared with the levels in the LC cows (p < 0.05, Fig. 3B). Western blotting also revealed that the levels of liver P-AMPKα protein in the HC cows were significantly higher than those in the LC cows (p < 0.05, Fig. 4A). These findings suggested that the AMPK signalling pathway was activated following treatment with HC diets. We investigated the level of liver P-ACC protein by Western blotting and found that it was significantly lower in the HC cows compared with the levels in the LC cows (p < 0.05, Fig. 4B). These findings are consistent with our previous observation that ACC1 mRNA expression was increased in the HC cows.
An HC diet increased the expression levels of enzymes involved in lipid metabolism and total antioxidant capacity (TAOC) in the liver
To investigate the changes in protein expression in the liver tissues of the HC and LC cows, soluble proteins were analysed using the 2-dimensional electrophoresis (2-DE) technique, followed by matrix-assisted laser desorption/ionization–time-of-flight tandem mass spectrometry (MALDI-TOF/TOF) proteomics analysis. Fifty-six differentially expressed proteins were successfully analysed and identified (Fig. 5, Table 5). Three of these proteins, including enoyl-CoA hydratase precursor (ECHS1, spot 41), enoyl-CoA hydratase short chain 1 (spot 42) and 3-ketoacyl-CoA thiolase (ACAA2, spot 45), were up-regulated in the livers of HC cows compared with LC cows. In addition, 3 proteins, including catalase (CAT, spot 1), glutathione s-transferase subunit isoform I (GSTA3, spot 3) and superoxide dismutase [Cu-Zn] (SOD1, spot 7), were also up-regulated in the livers of HC cows compared with LC cows. Taken together, these results suggested that treatment with the HC diet promoted the catabolism of NEFA and TAOC in the livers of HC cows.
Table 5. Identification of differentially expressed liver proteins.
1Spot no. | Protein name | Accession no. | Experimental MW (kDa)/pI | Score | 2Fold change |
---|---|---|---|---|---|
1 | Catalase | gi|78369302 | 60.4/7.06 | 116 | >2.7 |
2 | Endoplasmin precursor | gi|27807263 | 91.7/4.65 | 532 | >2.3 |
3 | Glutathione S-transferase subunit isoform I | gi|1215748 | 22.4/8.55 | 61 | >4.0 |
4 | Protein ABHD14B | gi|157428006 | 23.3/7.0 | 144 | >3.2 |
5 | AKR7A2 protein | gi|151554310 | 46.6/6.25 | 123 | >2.3 |
6 | Chain A, Structural And Kinetic Analysis Of The Beef Liver Catalase Complexed With Nitric Oxide | gi|332639901 | 88.6/5.95 | 529 | <0.6 |
7 | Superoxide dismutase [Cu-Zn] | gi|27807109 | 16.4/7.2 | 60 | >2.1 |
8 | S-formylglutathione hydrolase | gi|115497074 | 41.3/5.83 | 102 | <0.7 |
9 | Serotransferrin precursor | gi|114326282 | 74.4/6.6 | 209 | <0.4 |
10 | Reticulocalbin-1 | gi|350580184 | 48.1/7.1 | 104 | >2.1 |
11 | Vimentin | gi|110347570 | 69.2/5.76 | 425 | >2.0 |
12 | Annexin A4 | gi|48374083 | 39.6/7.3 | 299 | >3.1 |
13 | Nicotinamide N-methyltransferase-like | gi|76635237 | 32.0/6.42 | 185 | <0.4 |
14 | Nicotinamide N-methyltransferase-like | gi|76635237 | 36.6/6.24 | 176 | >3.2 |
15 | Thiosulfate sulfurtransferase | gi|29135275 | 41.9/6.8 | 530 | <0.3 |
16 | Flavin reductase (NADPH) | gi|27806297 | 28.2/5.8 | 93 | <0.2 |
17 | 10-formyltetrahydrofolate Dehydrogenase | gi|296474619 | 91.7/6.18 | 812 | >2.9 |
18 | Aflatoxin B1 aldehyde reductase member 4 | gi|297465355 | 43.4/7.4 | 156 | <0.2 |
19 | Dihydrodiol dehydrogenase 3 | gi|30794344 | 42.6/7.7 | 87 | <0.6 |
20 | Gastrin Binding Protein-like | gi|3021301 | 91.6/8.98 | 179 | <0.3 |
21 | 3-oxo-5-beta-steroid 4-dehydrogenase | gi|300797655 | 42.4/6.27 | 282 | <0.4 |
22 | 2,4-dienoyl-CoA reductase | gi|115495485 | 38.0/9.3 | 94 | >2.3 |
23 | Aldehyde dehydrogenase, mitochondrial precursor | gi|115496214 | 58.8/7.2 | 187 | >2.2 |
24 | dihydrolipoyllysine-residue Succinyltransferase component of 2-oxoglutarate dehydrogenase complex, mitochondrial | gi|115497112 | 48.1/6.4 | 103 | >2.8 |
25 | Alpha-enolase | gi|87196501 | 50.2/6.91 | 107 | >2.5 |
26 | Pyruvate carboxylase | gi|28200301 | 89.7/6.21 | 623 | >2.3 |
27 | Fructose-bisphosphate aldolase B | gi|77735921 | 45.9/8.45 | 397 | <0.1 |
28 | similar to Succinyl-CoA ligase [GDP-forming] beta-chain, mitochondrial precursor (Succinyl-CoA synthetase, betaG chain) (SCS-betaG) (GTP-specific succinyl-CoA synthetase beta subunit) | gi|146231894 | 55.0/8.0 | 170 | <0.3 |
29 | Glycerol-3-phosphate dehydrogenase [NAD+], cytoplasmic | gi|78365297 | 32.6/5.7 | 66 | <0.5 |
30 | S-adenosylmethionine synthase | gi|114052194 | 59.2/6.15 | 230 | >3.1 |
31 | Glutamate dehydrogenase 1 | gi|23306688 | 60.1/7.5 | 391 | <0.4 |
32 | Glycine amidinotransferase, Mitochondrial precursor | gi|114052741 | 62.5/7.1 | 141 | >3.4 |
33 | Dimethylglycine dehydrogenase, mitochondrial | gi|329663159 | 96.8/7.7 | 117 | <0.6 |
34 | Serine hydroxymethyltransferase, Cytosolic | gi|62752042 | 66.4/9.2 | 485 | <0.4 |
35 | Betaine-homocysteine methyltransferase | gi|86438026 | 53.6/7.06 | 591 | >2.2 |
36 | Carbamoyl-phosphate synthase [ammonia], mitochondrial | gi|300795597 | 93.4/6.53 | 171 | >3.1 |
37 | GLUD1 protein | gi|74354891 | 60.2/7.6 | 387 | >2.6 |
38 | Adenosylhomocysteinase 1-like isoform X1 | gi|556763621 | 44.1/6.19 | 81 | <0.3 |
39 | 4-hydroxyphenylpyruvate dioxygenase | gi|62751490 | 41.5/6.19 | 192 | <0.4 |
40 | Ester hydrolase | gi|114052601 | 42.9/6.38 | 69 | <0.2 |
41 | Enoyl-CoA hydratase precursor | gi|15982640 | 20.5/8.7 | 299 | >4.0 |
42 | Enoyl coenzyme A hydratase short chain 1 | gi|157057859 | 15.8/6.68 | 81 | >2.1 |
43 | Mitochondrial enoyl coenzyme A hydratase short chain 1 | gi|67944513 | 24.9/9.4 | 187 | >2.5 |
44 | Delta-1-pyrroline-5-carboxylate dehydrogenase, mitochondrial precursor, Bos taurus | gi|157785571 | 67.3/8.7 | 214 | <0.6 |
45 | 3-ketoacyl-CoA thiolase, mitochondrial | gi|78369436 | 54.7/9.3 | 434 | >0.4 |
46 | 3-hydroxyisobutyrate dehydrogenase, mitochondrial precursor | gi|114052937 | 34.1/8.1 | 65 | <0.5 |
47 | Eukaryotic translation elongation factor 1 alpha 1 isoform 1 | gi|119938328 | 31.5/8.5 | 62 | <0.3 |
48 | T-complex protein 1 subunit epsilon | gi|274325364 | 69.3/5.3 | 129 | >2.1 |
49 | 60 kDa heat shock protein, mitochondrial | gi|262205483 | 59.4/6.16 | 334 | >2.1 |
50 | Heat shock protein beta-1 | gi|71037405 | 21.1/6.13 | 239 | <0.4 |
51 | Heat shock cognate 71 kDa protein | gi|76253709 | 72.2/5.81 | 216 | >2.3 |
52 | protein NipSnap homologue 1 | gi|115496626 | 23.2/9.4 | 82 | >2.2 |
53 | Tubulin beta-2B chain | gi|51491829 | 42.2/8.37 | 189 | >4.0 |
54 | Tubulin alpha-1D chain | gi|114051854 | 42.9/8.4 | 307 | >4.0 |
55 | Trifunctional enzyme subunit beta, mitochondrial precursor | gi|27885005 | 52.7/9.02 | 185 | >2.8 |
56 | Unnamed protein product | gi|428 | 85.8/5.6 | 216 | >2.2 |
1Numbering corresponds to the 2-DE gel shown in Fig. 1.
2Increased (>) or decreased (<) compared with the control group, ≥2.0-fold change in intensity with a P -value < 0.05.
Discussion
In the dairy industry, the practice of feeding HC diets to lactating cows has been applied extensively to increase milk yields, thereby improving cost-efficiency. Although this feeding practice can enhance economic efficiency in the short-term, long-term feeding of HC diets leads to the translocation of LPS from the digestive system into the circulating blood, especially the peripheral circulation system, where it induces a systemic inflammatory response13. Previous studies also showed that feeding a diet containing 60% concentrate to lactating goats or cattle elevated blood LPS concentrations and led to LPS translocation and systemic inflammation13,14,15.
As an important defence organ, the liver must process a variety of hazards derived from the portal vein system. The liver is continually exposed to small amounts of LPS translocated from the digestive tract through the mesentery vein directly into the liver via the portal vein16. It has been reported that hepatocytes are critical for clearing circulating LPS in the liver17,18. Therefore, impaired hepatocytes caused by HC diet feeding could contribute to the decreased percentage of LPS clearance in the liver. In the present study, we quantified the plasma biochemical parameters of the dairy cows before the experiment. The biochemical parameters in the plasma samples of the two groups of cows were not different, suggesting that all dairy cows studied had the same genetic background. After 20 weeks of feeding, the concentrations of LPS in the jugular, hepatic and portal vein plasma were markedly increased, indicating that the HC diet induced LPS translocation from the digestive tract into the bloodstream and that the amount of LPS delivered directly into the liver via the portal vein was higher in cows fed an HC diet compared with cows fed an LC diet.
Previous studies have shown that feeding an HC diet to lactating cows can cause an inflammatory response in their livers19. In this study, the differentially expressed proteins in the HC- and LC-fed cows were primarily involved in regulating oxidative stress and lipid metabolism. The generation of reactive oxygen species (ROS) is frequently the first detectable response to abiotic or biotic stress in the body. Previous studies have identified various antioxidant enzymes that are involved in ROS metabolism, some of which were differentially expressed in our samples. These enzymes included SOD, GST, and CAT. Cu/Zn-SOD, a product of the SOD1 gene, suppresses metal-catalysed hydroxyl radical production20. GST plays an important role in protecting cells from cytotoxic oxidation21. In this study, CAT, SOD, and GST were all up-regulated in the HC diet group. Taken together, these results suggested that during feeding with the HC diet, the up-regulated expression of oxidative stress related genes may be triggered by increased LPS translocation into the liver.
Moreover, previous studies have reported that feeding an HC diet could cause a depression of milk fat22. In our experiment, decreases in milk fat and milk protein were observed in the HC cows. Therefore, our results were consistent with other studies. However, the mechanism of milk fat depression still requires further study.
NEFA are important precursors in milk fat. Previous studies have reported that feeding an HC diet could cause a depression of milk fat, which was associated with a decline in NEFA in the blood. Increasing the NEFA content in the blood also elevates the absorbed quantity used to synthesise milk fat in mammary cells23. Furthermore, we quantified the precursors in milk fat synthesis. The levels of NEFA in the plasma of the HC cows were significantly lower than those in the LC cows. Thus, our results are consistent with other studies. In ruminants, the liver is the major site for gluconeogenesis and lipogenesis, which provides the substrate precursors to the mammary gland for milk production. Therefore, to further study the changes observed in milk fat precursors, we examined the dynamics of NEFA and TG production in the liver by assaying plasma obtained from the hepatic and portal veins. The results suggested that more NEFA and TG were consumed from the livers of HC diet cows compared with cows fed a LC diet. In addition, we found that the liver tissue TG content was significantly decreased in the HC cows, indicating that lipid accumulation in the liver was decreased. However, the relationship between reduced plasma NEFA and the liver warrants further investigation.
SREBPs are transcription factors that activate genes involved in lipogenesis and fatty acid synthesis24. SREBP-1c is one member of this family that may regulate many genes involved in lipid synthesis and deposition25, such as ACC1, SCD-1, and FAS, which are required for fatty acid synthesis in white adipose tissue, the liver, skeletal muscle, and other tissues26. The incidence of fatty liver increased when the expression levels of SREBP-1c and its target genes, FAS and ACC1, were enhanced significantly in bovine hepatocytes27. PPARs are involved in the transport of TG in the blood, cellular fatty acid uptake, and mitochondrial beta oxidation28. PPARs have three subtypes: PPARα, PPARβ, and PPARγ. PPARα has an important role in the regulation of mitochondrial and peroxisomal fatty acid oxidation in ruminants, including modulation of downstream targets, such as L-FABP, CPT-1, CPT-2 and ACO29. In this study, we demonstrated that SREBP-1c expression was significantly decreased in the HC group. Interestingly, the expression profiles of the downstream genes, FAS, SCD, and ACC1, were consistent with the change in SREBP-1c expression. In contrast, the mRNA levels of PPARα and its downstream protein targets, L-FABP, CPT-1, CPT-2 and ACO, were elevated. Moreover, these findings were consistent with ACAA2, ECHS1 and enoyl-CoA hydratase short chain 1 protein up-regulation identified by 2-DE and MALDI-TOF/TOF analysis and the increase in fatty acid oxidation gene mRNA expression in the livers of HC cows. Taken together, these results suggest that the HC diet promotes NEFA catabolism and inhibits NEFA uptake and synthesis by regulating the expression of key liver enzymes in lactating cows. These findings may be useful to explain why milk fat precursor synthesis is decreased when cows are fed a HC diet.
In this study, qRT-PCR was applied to determine the expression of selected liver lipid metabolism genes. Although not used here, the RNA sequencing (RNA-seq) method deserves to be mentioned. This next-generation sequencing-based, high-throughput technique provides gene expression information at the transcriptome levels30, compared to qRT-PCR, which analyzes only selected candidate genes. However, in our study, we focused on only a group of genes involved in NEFA metabolism. As shown in Fig. 2, qRT-PCR was sufficient to determine the key enzymes of liver involved in NEFA metabolism. In the following studies, RNA-seq may be applied to identify novel genes and pathways regulated by HC diet in lactating cows.
GC is important for regulating lipid metabolism, in part through its inhibition of fatty acid synthesis in the liver31. Previous studies in vivo showed that hepatic GC action caused a hepatic energy-depleted state characterized by an increased AMP-to-ATP ratio that was sufficient to activate AMPK32. Recent work also extends GC’s novel actions to include AMPK activation of PPARα. This finding is important because PPARα is a transcription factor that is essential for hepatic lipid metabolism33,34. Previous studies have also shown that the AMPKα signalling pathway could regulate lipid oxidation and synthesis in bovine hepatocytes35,36. Therefore, the AMPK signalling pathway plays a central role in hepatic lipid metabolism. In the present study, the HC diet increased AMPK protein expression in the liver; the plasma GC levels in the HC cows were also higher. Therefore, we verified that this pathway is activated in the livers of cows that received the HC diet. Furthermore, the AMPK signalling pathway mediates the observed effects on NEFA metabolism by enhancing fatty acid β-oxidation and inhibiting synthesis in the livers of lactating cows.
Conclusion
In summary, long-term feeding of an HC diet leads to antioxidant improvement and lipid decreases in the liver. We investigated the effects of the HC diet on NEFA metabolism in the livers of lactating cows and found that NEFA precursors were consumed in the liver and declined in plasma. Furthermore, the plasma GC levels were increased in the HC cows: elevated GC increases AMPKα phosphorylation and activity. Activated AMPKα promotes PPARα expression and transcriptional activity, thereby increasing the expression levels of lipolytic genes. Activated AMPKα inhibits the expression and transcriptional activity of SREBP-1c, thereby down-regulating the expression of the lipogenic genes and reducing lipid synthesis (Fig. 6). Thus, long-term HC diet feeding may lead to the up-regulated expression of lipid oxidation genes and a decrease in the NEFA content in the blood via the GC-activated AMPK/PPARα signalling pathway. However, the decreased NEFA concentration in the blood of cows fed a HC diet may explain the reduction in milk fat in these lactating cows.
Materials and Methods
Ethics statement
This animal experiment was reviewed and approved by the Institutional Animal Care and Use Committee of Nanjing Agricultural University. The experiment was performed in accordance with the “Guidelines for Experimental Animals” of the Ministry of Science and Technology (Beijing, China).
Animals, experimental design and treatment
A total of ten half-sibling, multiparous, mid-lactation Holstein dairy cows (body weight, 489 ± 18 kg, milk yield, 12.24 ± 0.33 kg/d, means ± SEM, 1 to 2 parity) were used in this experiment. All cows were randomly assigned to two groups: one group received an HC diet (Forage: Concentrate = 4:6, HC, n = 5), and the other group received an LC diet (Forage: Concentrate = 6:4, LC, n = 5) as a control for the 20-week experimental period. The ingredients and nutritional compositions of the diets are presented in Table 6. All experimental cows came from the Centre of Experimental Animals at Nanjing Agricultural University and were housed in individual tie-stalls at the Nanjing Agricultural University Experimental Dairy Farm (Nanjing, China). Animals were fed and milked three times daily at 04:00 am, 12:30 am and 19:00 pm and were allowed free access to fresh water. The DMI was measured at each time point. In the first week of the adaptation period, the cows had indwelling hepatic and portal vein catheters placed. After surgery, the cows were observed for 1 week during recovery from the surgery. The animals were looked after for 4 weeks after surgery. Sterilized heparin saline (500 IU/mL) was used to prevent catheter blockage daily at 8-hour intervals until the end of the experiment.
Table 6. Ingredients and nutritional compositions of the diets.
Ingredient | Percentage (%) of ingredients (dry matter) | |
---|---|---|
Control (LC diet) | High-concentrate (HC diet) | |
Corn silage | 30 | 20 |
Alfalfa | 30 | 20 |
Corn | 24.3 | 32 |
Wheat bran | NA1 | 12.4 |
Soybean meal | 13.5 | 13 |
CaHPO4 | 0.85 | 0.45 |
Limestone | 0 | 0.8 |
Salt | 0.35 | 0.35 |
Premix2 | 1 | 1 |
Nutrient levels | ||
Net energy, MJ/kg | 6.36 | 6.71 |
Crude protein, % | 16.99 | 16.92 |
Ether extract, % | 3.93 | 4.07 |
Neutral detergent fibre, % | 36.54 | 31.45 |
Acid detergent fibre, % | 22.51 | 17.56 |
Non-fibre carbohydrate, % | 33.76 | 39.32 |
Calcium, % | 0.88 | 0.89 |
Phosphorus, % | 0.33 | 0.46 |
1NA: No action.
2Provided per kg of premix: Vitamin A, 6,000 U; Vitamin D, 2,500 U; Vitamin E, 80 mg; Cu, 6.25 mg; Fe, 62.5 mg; Zn, 62.5 mg; Mn, 50 mg; I, 0.125 mg; Co, 0.125 mg; Mo, 0.125 mg.
Milk composition analysis
We collected 200-mL samples of fresh milk into vials with 10 mL of potassium dichromate every week, and the milk fat, protein and lactose concentrations in the samples were analysed using an Integrated Milk-Testing™ Milkoscan 4000 (Foss Electric, Hillerod, Denmark) at the Animal Experiments of Nanjing Weigang Dairy Industry Company.
Measurement of plasma biochemical parameters
At the beginning of the experiment, plasma was sampled thirty minutes prior to feed delivery using EDTA-containing vacuum tubes from the jugular vein. Blood was centrifuged at 2500 × g for 10 min to separate the plasma. The plasma biochemical parameters were measured using a Beckman Kurt AU5800 series automatic biochemical analyser (Beckman Kurt, USA) at the Nanjing Military Region General Hospital (Zhongshan Road, Nanjing, China).
At the end of the experiment, plasma was sampled thirty minutes prior to feed delivery using EDTA-containing vacuum tubes from the jugular, hepatic and portal veins. Blood was centrifuged at 2500 × g for 10 min to separate the plasma. The concentrations of TG, NEFA and total cholesterol from portal and hepatic vein plasma were measured using a Beckman Kurt AU5800 series automatic biochemical analyser (Beckman Kurt, USA) at Nanjing Military Region General Hospital (Zhongshan Road, Nanjing, China). The concentrations of INS and GC in the plasma were determined using ELISA kits (Shanghai Enzyme-linked Biotechnology Co. Ltd, Shanghai, China). The detected ranges of the ELISA kits for INS and GC were 0.1–40 mIU/L and 5–1000 pg/mL, respectively. The procedures were performed according to the manufacturer’s instructions.
Hepatic TG extraction and measurement
After 20 weeks of feeding, liver tissues were obtained by punch biopsy under local anaesthesia. A 100-mg liver sample from each animal was homogenized in 0.5 mL of 1 M NaCl and then extracted with 3 mL of chloroform/methanol (2:1) plus 0.5 mL of 1 M NaCl. The lower phase was collected, dried and resuspended in 1 mL of Triton X-100/methanol (2:1). The TG levels were determined using a Beckman Kurt AU5800 series automatic biochemical analyser (Beckman Kurt, USA) at the Nanjing Military Region General Hospital (Zhongshan Road, Nanjing, China).
LPS measurements
The LPS concentrations in the jugular, hepatic and portal vein plasma samples were determined using a chromogenic endpoint assay (CE64406, Chinese Horseshoe Crab Reagent Manufactory Co., Ltd., Xiamen, China) with a minimum detection limit of 0.05 EU/mL. The procedures were performed according to the manufacturer’s instructions.
RNA extraction, cDNA synthesis and quantitative real-time PCR (qRT-PCR)
Total RNA was extracted from liver samples using TRIzol reagent (15596026, Invitrogen, Shanghai, China) according to the manufacturer’s protocol and converted to cDNA using commercial kits (Vazyme, Nanjing, China). All PCR primers were synthesized by Generay Company (Shanghai, China); the primer sequences are listed in Table 7. RT-PCR was performed using the AceQ qPCR SYBR Green Master Mix Kit (Vazyme, Nanjing, China) and the MyiQ2 Real-time PCR System (Bio-Rad, USA) with the following conditions: 95 °C for 2 min, 40 cycles of 95 °C for 15 sec, and 58–60 °C for 30 sec. Glyeraldehyde 3-phosphate dehydrogenase (GAPDH) served as a reference for normalization. The 2−ΔΔCt method was used to analyse the real-time PCR results, and each mRNA level is expressed as the fold change relative to the mean value of the control group.
Table 7. Primer sequences used for qRT-PCR analysis of target genes in lactating cows.
Gene | Forward primer (5′-3′); Reverse primer (5′-3′) | Product size (bp) |
---|---|---|
GAPDH | GGGTCATCATCTCTGCACCT | 177 |
GGTCATAAGTCCCTCCACGA | ||
ACC | ACGCAGGCATCAGAAGATTA | 179 |
GAGGGTTCAGTTCCAGAAAGTA | ||
FAS | GCACTACCACAACCCAAACCC | 161 |
CGTTGGAGCCACCGAAGC | ||
SCD-1 | CCGCCCTGAAATGAGAGATG | 154 |
AGGGCTCCCAAGTGTAACAGAC | ||
SREBP-1c | CGACTACATCCGCTTCCTTCA | 259 |
ACTTCCACCGCTGCTACTG | ||
PPARα | GGAGGTCCGCATCTTCCACT | 352 |
GCAGCAAATGATAGCAGCCACA | ||
CPT-1 | CCCATGTCCTTGTAATGAGCCAG | 254 |
AGACTTCGCTGAGCAGTGCCA | ||
CPT-2 | ACGCCGTGAAGTATAACCCT | 119 |
CCAAAAATCGCTTGTCCCTT | ||
L-FABP | AAGTACCAAGTCCAGACCCAG | 111 |
CACGATTTCCGACACCC | ||
ACO | TAAGCCTTTGCCAGGTATT | 189 |
ATGGTCCCGTAGGTCAG | ||
GCGR | TTTCCAGGTGATGTACACGG | 141 |
TTGAGCATGAAGGACACGAA |
Western blotting
Total proteins were extracted from liver samples, and the concentration was determined using a bicinchoninic acid (BCA) assay kit (Beyotime, Shanghai, China). We isolated 30 μg of total protein from each sample, which was subjected to 8–10% SDS-PAGE. The separated proteins were transferred onto polyvinylidene difluoride membranes (Millipore, USA). The blots were incubated with the following Cell Signaling Technology primary antibodies overnight at 4 °C at dilutions of 1:1000 in block: rb-anti-AMP-Activated Protein Kinase alpha (rb-anti-AMPKα, D5A2), rb-anti-Phosphorylated AMP-Activated Protein Kinase alpha (rb-anti-P-AMPKα, T172), rb-anti-acetyl-CoA carboxylase (rb-anti-ACC, #3662S), and rb-anti-Phosphorylated acetyl-CoA carboxylase (rb-anti-P-ACC, #3661S). An rb-anti-GAPDH primary antibody (a531, Bioworld, China, 1:10,000) was also incubated with the blots to provide a reference for normalization. After washing the membranes, an incubation with horseradish peroxidase-conjugated secondary antibody was performed for 2 h at room temperature. The blots were washed, and the signal was detected by enhanced chemiluminescence (ECL) using LumiGlo substrate (Super Signal West Pico Trial Kit, Pierce, USA). The ECL signal was recorded with Substrate (Bio-Rad) using an imaging system (Tanon, Shanghai) and analysed with Quantity One software (Bio-Rad, USA).
Two-dimensional gel electrophoresis (2-DE)
Protein sample preparation
Liver samples were homogenized in an ice-cold buffer (7 M urea, 2 M thiourea, 2% CHAPS, 50 mM DTT, 0.8% CA, 1 mM phenylmethylsulfonyl fluoride (PMSF), Bio-Rad, USA). The homogenates were centrifuged at 15,000 × g for 30 min at 4 °C. Total liver protein concentration was determined using an RC-DCTM kit (Bio-Rad, USA).
Electrophoresis
2-DE was performed using a 17-cm (nonlinear, pH 3.0–10.0) IPG gel strip (Bio-Rad, USA). Eight hundred fifty micrograms of total liver protein sample was loaded onto the IPG strips (Bio-Rad, USA) using passive rehydration (13 h with 50 V). Isoelectric focusing was performed with a voltage gradient of 250 V for 1 h, 500 V for 1 h, 2000 V for 1 h, and 8000 V for 3 h, followed by holding at 8000 V until 60,000 V-h was reached. Before the second dimension, the IPG strips were first equilibrated for 15 min in 3 mLof equilibration buffer (6 mol/L urea, 50 mmol/LM Tris-HCl pH 8.8, 2% SDS, 30% glycerin, 1% DTT, Bio-Rad, USA) and then underwent a second equilibration for 15 min in the same equilibration buffer except that DTT was replaced by 1% iodoacetamide. Electrophoresis was run initially at 5 W/gel for 30 min followed 15 W/gel via 12.5% SDS-PAGE until the bromophenol blue dye reached the bottom edge of the gel.
Statistical analysis
All data are presented as the means ± SEM. Data were tested for normal distribution, and statistical significance was assessed via the independent sample t-test using SPSS version 17.0 for Windows (SPSS Inc., Chicago, IL, USA). Data were considered statistically significant if p < 0.05. The numbers of replicates used for statistics are noted in the Tables and Figures.
Additional Information
How to cite this article: Li, L. et al. A High-Concentrate Diet Induced Milk Fat Decline via Glucagon-Mediated Activation of AMP-Activated Protein Kinase in Dairy Cows. Sci. Rep. 7, 44217; doi: 10.1038/srep44217 (2017).
Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Acknowledgments
This work was supported by the National “973” Project on Milk Composition Precursors Redistribution Mechanism and Epigenetic Mechanism in Liver (grant number 2011CB100802), the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD).
Footnotes
The authors declare no competing financial interests.
Author Contributions L.L. performed the experiment and drafted the manuscript. Y.C. performed the experiment and analysed the data. Z.L.X. contributed to experimental design and manuscript revision. Y.S.Z. conceived the idea, designed the experiment and finalized the manuscript. All authors read and approved the final manuscript.
References
- Xu T. L. et al. Lipopolysaccharide derived from the rumen down-regulates stearoyl-CoA desaturase 1 expression and alters fatty acid composition in the liver of dairy cows fed a high-concentrate diet. BMC Vet Res. 11, 1 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Khafipour E., Krause D. O. & Plaizier J. C. A grain-based subacute ruminal acidosis challenge causes translocation of lipopolysaccharide and triggers inflammation. J Dairy Sci. 92, 1060–1070 (2009). [DOI] [PubMed] [Google Scholar]
- Zebeli Q. & Ametaj B. N. Relationships between rumen lipopolysaccharide and mediators of inflammatory response with milk fat production and efficiency in dairy cows. J Dairy Sci. 92, 3800–3809 (2009). [DOI] [PubMed] [Google Scholar]
- Duanmu Y. Q. et al. Comparative proteomic analysis of the effects of high-concentrate diet on the hepatic metabolism and inflammatory response in lactating dairy goats. J Anim Sci Biotechnol. 7, 11 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Abdel-Salam O. M. E., Salem N. A. & Hussein J. S. Effect of aspartame on oxidative stress and monoamine neurotransmitter levels in lipopolysaccharide-treated mice. Neurotox Res. 21, 245–55 (2012). [DOI] [PubMed] [Google Scholar]
- Ben-Shaul V. et al. Lipopolysaccharide-induced oxidative stress in the liver: Comparison between rat and rabbit. Shock. 12, 288–93 (1999). [DOI] [PubMed] [Google Scholar]
- Zebeli Q. et al. Modeling the adequacy of dietary fiber in dairy cows based on the responses of ruminal pH and milk fat production to composition of the diet. J Dairy Sci. 91, 2046–2066 (1999). [DOI] [PubMed] [Google Scholar]
- Pennington R. J. The metabolism of short-chain FA in the sheep. 1. Fatty acid utilization and ketone body production by rumen epithelium and other tissues. Biochem J. 51, 251 (1952). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bauman D. E., Harvatine K. J. & Lock A. L. Nutrigenomics, rumen-derived bioactive fatty acids, and the regulation of milk fat synthesis. Annu Rev Nutr. 31, 299–319 (2011). [DOI] [PubMed] [Google Scholar]
- Bell A. W. Lipid metabolism in liver and selected tissues and in the whole body of ruminant animals. Prog Lipid Res. 18, 117–164 (1979). [DOI] [PubMed] [Google Scholar]
- Kristensen N. B. Splanchnic metabolism of volatile fatty acids in the dairy cow. Anim Sci. 80, 3–10 (2005). [Google Scholar]
- Dong H. et al. Long-term effects of subacute ruminal acidosis (SARA) on milk quality and hepatic gene expression in lactating goats fed a high-concentrate diet. PLoS One. 8, e82850 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dong G. et al. Diet-induced bacterial immunogens in the gastrointestinal tract of dairy cows: impacts on immunity and metabolism. Acta Vet Scand. 53, 1 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Andersen P. H., Hesselholt M. & Jarløv N. Endotoxin and arachidonic acid metabolites in portal, hepatic and arterial blood of cattle with acute ruminal acidosis. Acta Vet Scand. 35, 223–34 (1994). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chang G. J. et al. Feeding a high-grain diet reduces the percentage of LPS clearance and enhances immune gene expression in goat liver. BMC Vet Res. 11, 1 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mimura Y. et al. Role of hepatocytes in direct clearance of lipopolysaccharide in rats. Gastroenterol. 109, 1969–1976 (1995). [DOI] [PubMed] [Google Scholar]
- Scott M. J. & Billiar T. R. β2-integrin-induced p38 MAPK activation is a key mediator in the CD14/TLR4/MD2-dependent uptake of lipopolysaccharide by hepatocytes. J Biol Chem. 283, 29433–29446 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Scott M. J. et al. Endotoxin uptake in mouse liver is blocked by endotoxin pretreatment through a suppressor of cytokine signaling-1-dependent mechanism. Hepatology. 49, 1695–1708 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Plaizier J. C. et al. Subacute ruminal acidosis in dairy cows: The physiological causes, incidence and consequences. Vet J. 176, 21–31 (2008). [DOI] [PubMed] [Google Scholar]
- Endo T. et al. A pivotal role of Znbinding residues in the function of the copper chaperone for SOD1. Biochem Biophys Res Commun. 276, 999–1004 (2000). [DOI] [PubMed] [Google Scholar]
- J. X. Y. et al. Comparative proteomic and bioinformatic analysis of the effects of a high-grain diet on the hepatic metabolism in lactating dairy goats. PLoS One. 8, e80698 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tao H. et al. Feeding a High Concentrate Diet Down-Regulates Expression of ACACA, LPL and SCD and Modifies Milk Composition in Lactating Goats. PLoS One. 10, e0130525 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kadegowda A. K. G. et al. Abomasal infusion of butterfat increases milk fat in lactating dairy cows. J Dairy Sci. 91, 2370–2379 (2008). [DOI] [PubMed] [Google Scholar]
- Shimano H. Sterol regulatory element-binding protein family as global regulators of lipid synthetic genes in energy metabolism. Vitam Horm. 65, 167–194 (2002). [DOI] [PubMed] [Google Scholar]
- Horton J. D. et al. Combined analysis of oligonucleotide microarray data from transgenic and knockout mice identifies direct SREBP target genes. Proc Natl Acad Sci. 100, 12027–12032 (2003). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lecomte V. et al. A new role for sterol regulatory element binding protein 1 transcription factors in the regulation of muscle mass and muscle cell differentiation. Mol Cell Biol. 30, 1182–1198 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Li X. W. et al. SREBP-1c overexpression induces triglycerides accumulation through increasing lipid synthesis and decreasing lipid oxidation and VLDL assembly in bovine hepatocytes. J Steroid Biochem Mol Biol. 143, 174–182 (2014). [DOI] [PubMed] [Google Scholar]
- Pettinelli P., Obregón A. M. & Videla L. A. Molecular mechanisms of steatosis in nonalcoholic fatty liver disease. Nutr Hosp. 26, 441–50 (2011). [DOI] [PubMed] [Google Scholar]
- Deng Q. H. et al. BHBA influences bovine hepatic lipid metabolism via AMPK signaling pathway. J Cell Biochem. 116, 1070–1079 (2015). [DOI] [PubMed] [Google Scholar]
- Nagalakshmi U. et al. The transcriptional landscape of the yeast genome defined by RNA sequencing. Science. 320, 1344–1349 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Unger R. H. & Orci L. Physiology and pathophysiology of glucagon. Physiol Rev. 56, 778–826 (1976). [DOI] [PubMed] [Google Scholar]
- Berglund E. D. et al. Hepatic energy state is regulated by glucagon receptor signaling in mice. J Clin Invest. 119, 2412–2422 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Badman M. K. et al. Hepatic fibroblast growth factor 21 is regulated by PPARalpha and is a key mediator of hepatic lipid metabolism in ketotic states. Cell Metab. 5, 426–437 (2007). [DOI] [PubMed] [Google Scholar]
- van R. et al. Peroxisome proliferator-activated receptor (PPAR)-alpha: a pharmacological target with a promising future. Pharm Res. 21, 1531–1538 (2004). [DOI] [PubMed] [Google Scholar]
- Li X. W. et al. Acetic acid activates the AMP-activated protein kinase signaling pathway to regulate lipid metabolism in bovine hepatocytes. PLoS One. 8, e67880 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Li X. W. et al. Non-esterified fatty acids activate the AMP-activated protein kinase signaling pathway to regulate lipid metabolism in bovine hepatocytes. Cell Biochem Biophys. 67, 1157–1169 (2013). [DOI] [PubMed] [Google Scholar]