- Open Access
Daytime food restriction alters liver glycogen, triacylglycerols, and cell size. A histochemical, morphometric, and ultrastructural study
© Díaz-Muñoz et al; licensee BioMed Central Ltd. 2010
- Received: 4 May 2009
- Accepted: 23 February 2010
- Published: 23 February 2010
Temporal restriction of food availability entrains circadian behavioral and physiological rhythms in mammals by resetting peripheral oscillators. This entrainment underlies the activity of a timing system, different from the suprachiasmatic nuclei (SCN), known as the food entrainable oscillator (FEO). So far, the precise anatomical location of the FEO is unknown. The expression of this oscillator is associated with an enhanced arousal prior to the food presentation that is called food anticipatory activity (FAA). We have focused on the study of the role played by the liver as a probable component of the FEO. The aim of this work was to identify metabolic and structural adaptations in the liver during the expression of the FEO, as revealed by histochemical assessment of hepatic glycogen and triacylglycerol contents, morphometry, and ultrastructure in rats under restricted feeding schedules (RFS).
RFS promoted a decrease in the liver/body weight ratio prior to food access, a reduction of hepatic water content, an increase in cross-sectional area of the hepatocytes, a moderate reduction in glycogen content, and a striking decrease in triacylglyceride levels. Although these adaptation effects were also observed when the animal displayed FAA, they were reversed upon feeding. Mitochondria observed by electron microscopy showed a notorious opacity in the hepatocytes from rats during FAA (11:00 h). Twenty four hour fasting rats did not show any of the modifications observed in the animals expressing the FEO.
Our results demonstrate that FEO expression is associated with modified liver handling of glycogen and triacylglycerides accompanied by morphometric and ultrastructural adaptations in the hepatocytes. Because the cellular changes detected in the liver cannot be attributed to a simple alternation between feeding and fasting conditions, they also strengthen the notion that RFS promotes a rheostatic adjustment in liver physiology during FEO expression.
- Liver Weight
- Food Access
- Circadian System
- Hepatic Glycogen
- Liver Fragment
From an evolutionary perspective, circadian systems have conferred a survival advantage by optimizing behavioral and physiological adaptations to periodic events that occur approximately each 24 h. An ultimate goal of this adaptation is to enhance the reproductive success and life span by allowing more effective access to nutritional resources [1, 2]. The vertebrate circadian system results from the coordinated action of a light-entrained master pacemaker located in the suprachiasmatic nucleus (SCN) of the hypothalamus, and a set of subordinated clocks in peripheral organs . The 24-h programs of the central and peripheral oscillators are based on similar, but not identical, molecular transcription-translation feedback loops . The normal timing between the principal and the peripheral clocks can be disrupted when activity, sleep, or feeding patterns are altered . An example of this situation happens when feeding is restricted to short periods of time, particularly in experimental protocols in which food is offered during the daytime to nocturnal rodents. In this condition, the peripheral clocks become independent of SCN rhythmicity, and the circadian system is no longer entrained by light but primarily by the effects of the scheduling of meal-feeding [6, 7]. Central to this adaptation is the expression of a food-entrainable oscillator (FEO) that controls, next to the SCN, the 24-h rhythms of behavioral, physiological, and metabolic activities .
The FEO is expressed when animals have access to food on restricted schedules (2 to 4 h of mealtime per day over a period of 2 or 3 weeks). The restricted feeding schedule (RFS) increases locomotive activity and arousal during the hours immediately before food access, generating a condition known as food anticipatory activity (FAA) . FAA is characterized by a variety of physiological and behavioral changes in the organism such as: increases in wheel running activity, water consumption, and body temperature, as well as a peak of serum corticosterone [9–11]. So far, the anatomical location of the FEO is unknown, but the physiology of this oscillator is thought to involve the bidirectional communication between specific, energy-sensitive brain areas and nutrient-handling, peripheral organs, especially the liver [8, 9, 11].
The liver is primarily composed of parenchymal cells or hepatocytes (80% by volume) and four types of non-parenchymal cells: endothelial, Kupffer, Ito, and pit cells. Hepatic tissue is highly specialized and functions as a major effector organ, acting as: 1) principal center of nutrient metabolism, 2) major component of the organism defensive response, 3) control station of the endocrine system, and 4) blood reservoir . The hepatic gland performs a strategic role in the digestive process by receiving the nutrients from the diet and orchestrating their transformation into useful biomolecules to be delivered to other organs and tissues. Hence, the liver is fundamental in the metabolism of carbohydrates, lipids, and all other biomolecules. Hypothalamic and midbrain nuclei are connected via vagal and splanchnic nerves to the liver, allowing the hepatic organ to participate in the control of food intake by sensing and regulating the energy status of the body .
FEO expression promotes dramatic changes in the physiology and metabolic performance of the liver [11, 14, 15]: During the FAA (before food access), there is a prevalence of oxidized cytoplasmic and mitochondrial redox states, an increase in adenine nucleotides levels, an enhanced mitochondrial capacity to generate ATP, and a hypothyroidal-like condition that is not systemic but exclusively hepatic. In contrast, after feeding the hepatic redox state becomes reduced in both cytoplasmic and mitochondrial compartments, the levels of ATP decline, and the level of T3 within the liver increases. However, not all the adaptations in the liver during RFS occur before and after food intake. A constant reduction in pro-oxidant reactions (conjugated dienes and lipid peroxides) in most hepatocyte subcellular fractions and a persistent increase in the mitochondrial membrane potential (ΔΨ) are observed along FEO expression [14, 16]. In addition, the liver is the organ that displays the fastest shift in the phase of clock-control genes and molecular outputs in response to food access being restricted to daytime in nocturnal rodents .
The aim of the present report was to gain further understanding on the structural and histochemical adaptations underlying glycogen and triacylglycerols metabolism in the liver during the FEO expression. Hence, we evaluated these parameters in rats under RFS at three time points and under two feeding conditions: 1) before, 2) during, and 3) after the FAA. Experimental results were also compared with a control group subjected to a simple 24-h period of fasting. We found that during the FAA: 1) A partial reduction of hepatic glycogen and almost a complete disappearance of triacylglycerols in comparison to the 24-h fasted rats; 2) The water content was decreased, but at the same time the cross-sectional area of the hepatocytes augmented; 3) The hepatocyte cytoplasm displayed rounded mitochondria bearing very electron-dense matrices and a hypertrophy of the smooth endoplasmic reticulum.
Change of body weight (BW) of rats after 3 weeks under restricted feeding schedules.
Initial BW (g)
Final BW (g)
Δ BW (%)
Food ad libitum
151 ± 3
320 ± 21
150 ± 2
329 ± 26
153 ± 2
337 ± 31
Food restricted schedule
150 ± 2
182 ± 17*
151 ± 3
192 ± 20*
149 ± 1
246 ± 23* +
97 (65%)* +
24 h Fasting
321 ± 4
298 ± 3
Liver weigth (LW) and ratio LW/body weight of rats under food restricted schedules.
LW/BW × 100
Food ad libitum
13.5 ± 0.8
4.2 ± 0.2
13.8 ± 0.6×
4.1 ± 0.3×
14.7 ± 0.9
4.3 ± 0.1
Food restricted schedule
6.5 ± 0.2*
3.6 ± 0.3*
6.1 ± 0.3*
3.2 ± 0.2*
8.2 ± 0.4*
3.3 ± 0.2*
24 h Fasting
9.7 ± 0.3
3.2 ± 0.3
Liver water content (LWC)
The liver is the principal organ that processes nutrients and delivers metabolites to peripheral tissues and organs; hence, it plays a key role in regulating the energy balance of vertebrates and thereby is fundamental in the physiological control of the hunger-satiety cycle . Because feeding determines the individual viability, the timing of the underlying internal metabolic and cellular mechanisms to find and ingest food is properly regulated by circadian systems . In consequence, a variety of liver functions related to the handling of nutrients are targets of circadian control . For these reasons, the hepatic involvement has been considered as an important constituent of the FEO [8, 11, 17]. Indeed, the FEO expression also depends on the nutritional properties and the caloric content of the meal offered during the RFS .
Many of the adaptations in the biochemical responses of the liver before and after feeding during the FEO expression are unique, and do not correspond to the characteristics shown in either control group: fed ad libitum or 24-h fasting [10, 11, 14–16]. Taken together, the data strongly suggest that FEO physiology is associated with a new rheostatic equilibrium in the functional and structural properties of the liver that adapt to optimizing the handling of nutrients under the RSF status [11, 15, 27].
The liver exhibits daily fluctuations in structural and metabolic features, usually associated with the intake and processing of nutrients from the diet. This oscillatory pattern involves daily adjustments in the hepatocyte function to achieve a suitable assimilation of food, and then a correct processing of nutrients . RFS leads to a striking hyperphagia that result in the ingestion of ≈ 30 g of food during the mealtime. By the time the stomach is almost empty, the FAA begins . It has been reported that, following the rhythm of gastric emptying, the weight of the liver shows a clear circadian rhythm with a peak at 08:00 h [20, 30]. Although our results did not show differences in the liver weight in the control groups fed ad libitum (Table 1), the hepatocytes cross-sectional area was notably bigger at 08:00 h (Figure 2 and Figure 3), suggesting an increase in cell size. Interestingly, the ratio liver weight/body weight was lower at all three times tested in the rats expressing the FEO and similar to the value for the rats fasted 24 h (Table 2), indicating that under RFS, the changes in corporal and liver weights are proportional, before and after feeding. In contrast, in the 24-h fasted group there was a more pronounce reduction in the liver weight, confirming data previously reported .
Tongiani et al., have reported a circadian rhythm for the water content in rat hepatocytes with a peak during the night, being the rhythm mainly regulated by the light-dark regimen and not by the time of food access . In our RFS protocol, the only significant variation detected was lower water content during the FAA (at 11:00 h) (Figure 1). At this time, there is intense metabolic activity in the liver characterized by increased mitochondrial respiration, an enhanced ATP synthesis, and a switch from a carbohydrate- to a lipid-based metabolism [10, 11, 14, 31]. We do not know the cellular constituent responsible for the increase in the hepatic dry mass during FAA, but we can rule out glycogen, triacylglycerols and protein content since the first two were present at lower levels during the FAA (Figures 5 and 7), and the letter did not show significant changes . It is noteworthy that at this time (11:00 h), the hepatocyte cross-sectional area was larger in the RFS group (Figure 2 and Figure 3). Hence, during the FAA, and in preparation for receiving and processing the nutrients from the 2-h food consumption, the liver hepatocytes become most likely larger and contain less water.
No circadian rhythmicity has been detected for the hepatic content of glycogen and triacylglycerols, since these two parameters respond exclusively to food intake and the elapsed time in fasting [10, 30, 31]. RFS groups before food access (08:00 and 11:00 h) showed just a moderate diminution in hepatic glycogen, but a severe reduction in the content of triacylglycerols (Figures 4 and 5). A possible explanation for the smaller decrease in glycogen is the long time required for the stomach to empty (≈ 20-21 h) in this group. As to the lower level of triacylglycerols, experimental evidence shows that in the time preceding food access (11:00 h), the liver is actively metabolizing lipids, as supported by the high level of circulating free fatty acids and ketone bodies, as well as by the expression of lipid-oxidizing peroxysomal and mitochondrial enzymes detected by microarray assays [10, 32]. One possibility is that the energy needed for the liver metabolic activity before food access is obtained by consuming the mobilized lipids from the adipose tissue. (In support of this possibility, unpublished results from our laboratory suggest that lipid-mobilizing factors such as PPARα and γ are increased in the liver during the FAA.)
Uhal and Roehrig reported that the dietary state influences the hepatocyte size and volume: 48 h of fasting resulted in a two-fold reduction in hepatocyte size and its protein content, whereas refeeding promoted a 70-80% . Our results reproduced the difference in cross-sectional area between the hepatocytes from ad-libitum fed and 24-h fasting rats (Figure 2), but no difference in protein content was detected , perhaps because our protocol involved only 24 of fasting. It is noteworthy that the liver cells increased the cross-sectional area during the FAA (11:00 h). This larger size is not linked to a net hepatic biosynthetic activation in the rats displaying FAA, since there is a concurrent drop in the water content of the liver (Figure 1) without changes in protein content .
Finally, our electron microscopic observations support and expand the early notion that the hepatocyte structure also fluctuates in circadian and daily rhythms .
We conclude that uncoupling the rat liver circadian activity from the SCN rhythmicity by imposing a feeding time restricted to daylight induces adaptations in the size, ultrastructure, as well as glycogen and triacylglycerols content in hepatocytes. Moreover, the main adaptations caused by the RFS occurred during the FAA, and could be accounted for as a "cellular and metabolic anticipation" by the liver in preparation for processing more efficiently the ingested nutrients. Finally, the unique characteristics of the hepatic response during RFS, which was different from the responses of the ad-libitum fed and 24-h control groups, support the notion of a new rheostatic state in the liver during FEO expression.
Animals and housing
Adult male Wistar rats weighing ≈ 150 g at the beginning of the experiment were maintained on a 12:12 h light-dark cycle (lights on at 08:00 h) at constant temperature (22 ± 1°C). The light intensity at the surface of the cages averaged 350 lux. Animals were kept in groups of five in transparent acrylic cages (40 × 50 × 20 cm) with free access to water and food unless stated otherwise. All experimental procedures were approved and conducted according to the institutional guide for care and use of animals under biomedical experimentation (Universidad Nacional Autónoma de México).
Each animal was deeply anesthetized with Anestesal® (sodium pentobarbital) at a dose of 1 ml per 2.5 kg of body weight. In one set of experiments the rats were killed by decapitation, and their livers removed and weighed. A fragment (0.3 - 0.5 g) was weighed, then kept at ≈ 65°C for one week and weighed again; the initial water content was calculated as the difference between the initial and final weights. In a different set of experiments, small sections of each liver were rapidly removed and cut into pieces of about 1 mm3 with sharp razors to be fixed for morphometric measurements and histochemical techniques or processed for electron microscopy.
Small tissues blocks (≈ 1 mm3) for each rat, 6 per group, were immediately fixed in a cold solution of 2.5% glutaraldehyde diluted in 0.15 M cacodylate buffer, pH 7.3. After 60 min, tissues were postfixed for 1 h in 1% osmium tretroxide dissolved in the same buffer. Then, liver fragments were dehydrated in graded acetone dissolved in deionized water and embedded in epoxy resin. One-micron thick semi-thin sections were obtained by a Leica ultramicrotome equipped with glass knives and stained with toluidine blue. Observations were done in a Nikon Eclipse E600 microscope, and images were obtained with a digital camara Photometrics Cool SNAP. Hepatocytes with a single, clear nucleus were selected, and their surfaces were measured with the program IPLab V 3.6 for cross-sectional area determination.
For glycogen staining, liver fragments (6 rats for each experimental group) were immediately placed and kept 48 h in a fixative (freshly prepared 10% w/v formaldehyde in 0.1 M phosphate buffer, pH 7.2), embedded in paraffin, sectioned at 5-μm thickness, and assessed to detect the content of glycogen within the hepatocytes by the periodic acid-Schiff reaction, with diastase addition for non-specific staining (PAS/D). In this method periodate oxidizes the hydroxyl moieties of glucose residues to aldehydes, which in turn react with the Schiff reagent generating a purple-magenta color. Ten representative fields from at least 4 different liver fragments per rat were analyzed by light microscopy (Olympus BX51; Olympus American, Melville, NY) and captured with a digital video camera (Cool Snap Pro, Media Cybernetics, Silver Spring, MD). Each digital image was photographed with the ×10 objective and formatted at fixed pixel density (8 × 10 inches at 150 dpi) using Adobe Photoshop software (v. 5.5). Each digital image was then analyzed using the MetaMorph Imaging Processing and Analysis software (v. 4.6) for histomorphometric analysis. Glycogen signal was expressed as a percentage of total tissue area. The area of total tissue and the area positively stained for glycogen were calculated in terms of pixels by a co-localization function of the MetaMorph program. Background staining was calculated from slices treated with diastase.
To stain lipids within the hepatocytes, the liver fragments (6 rats for each experimental group) were immediately frozen in solid CO2, and the tissue was processed according to the oil red O (ORO) technique. This dye acts not by dissolution but by an adsorption process that gives an intense red stain with fatty acids, cholesterol, triacylglycerols, and unsaturated fats. The quantification of the signal was similar to the one reported in the previous paragraph for glycogen, with the exception that the images were photographed with the ×40 objective.
Liver tissue samples for each rat, 6 per group, were obtained during the laparatomy and cut into about one-millimeter thick blocks, immersed in Karnovsky's fixative (4% paraformaldehyde-2.5% glutaraldehyde in 0.15 M phosphate buffer, pH 7.3) for one hour, washed in the same buffer and stored overnight at 4°C. The next day tissues was postfixed for 1 h in 1% osmium tetraoxide dissolved in the phosphate buffer (vide supra), dehydrated in graded ethyl-alcohols, and embedded in epoxy resin. One-micrometer-thick sections were obtained from the tissue blocks in a Leica ultramicrotome equipped with glass knives. The sections were stained with toluidine blue and coverslipped. From the surface of these trimmed blocks, ultrathin sections ranging from 80 to 90 nm were obtained with a diamond knife and mounted in single-slot grids that had previously been covered with formvar film. The sections were double stained with aqueous solutions of uranium acetate and lead citrate and observed in a JEOL 1010 electron microscope.
Data were classified by group and time and reported as mean ± SEM. Data from ad-libitum and food-restricted groups were compared with a two-way ANOVA for independent measures with a factor for group (2 levels) and a factor for time (6 levels). One-way ANOVA was used to determine significant oscillations in the temporal pattern (6 levels) in each group. All ANOVAs were followed by a Tukey post hoc test with the threshold for significant values set at p < 0.05. Values from the fasted rats were compared with those from the group of rats fed ad libitum and the rats with restricted feeding sacrificed at 11:00 h, using a one-way ANOVA for independent measures. Statistical analysis was performed with Statisca version 4.5 (StatSoft, 1993).
We thank MVZ José Martín García Servín, Ing. Leopoldo González Santos, Lic. Leonor Casanova, and Omar González for their technical assistance. The English version of this text was kindly reviewed by Dr. Dorothy Pless. Research supported by DGAPA IN201807 and CONACYT U49047 to MD-M.
- Nelson W, Halberg F: Meal-timing, circadian rhythms and life span of mice. J Nutr. 1986, 116: 2244-2253.PubMedGoogle Scholar
- Foster RG, Wulff K: The rhythm of rest and excess. Nat Rev Neurosci. 2005, 6: 407-414. 10.1038/nrn1670.View ArticlePubMedGoogle Scholar
- Reppert SM, Weaver DR: Coordination of circadian timing in mammals. Nature. 2002, 418: 935-941. 10.1038/nature00965.View ArticlePubMedGoogle Scholar
- Yamazaki S, Numano R, Abe M, Hida A, Takahashi R, Ueda M, Block G, Sakaki Y, Menaker M, Tei H: Resseting central and peripheral circadian oscillators in transgenic rats. Science. 2000, 288: 682-685. 10.1126/science.288.5466.682.View ArticlePubMedGoogle Scholar
- Hastings MH, Reddy AB, Maywood ES: A clockwork web: circadian timing in brain and periphery, in health and disease. Nat Rev Neurosci. 2003, 4: 649-661. 10.1038/nrn1177.View ArticlePubMedGoogle Scholar
- Philippens KM, Von Mayersbach H, Scheving LE: Effects of the scheduling of meal-feeding at different phases of the circadian system in rats. J Nutr. 1977, 107: 176-193.PubMedGoogle Scholar
- Damiola F, Le Minh N, Preitner N, Kornmann B, Fleury-Olela F, Schibler U: Restricted feeding uncouples circadian oscillators in peripheral tissue from the central pacemaker in the suprachiasmatic nucleus. Genes Dev. 2000, 14: 2950-2961. 10.1101/gad.183500.PubMed CentralView ArticlePubMedGoogle Scholar
- Stephan FK: The "other" circadian system: food as a zeitgeber. J Biol Rhythms. 2002, 17: 284-292.View ArticlePubMedGoogle Scholar
- Mistlberger RE: Circadian food anticipatory activity: formal models and physiological mechanisms. Neurosci Biobehav Rev. 1994, 18: 171-195. 10.1016/0149-7634(94)90023-X.View ArticlePubMedGoogle Scholar
- Escobar C, Díaz-Muñoz M, Encinas F, Aguilar-Roblero R: Persistence of metabolic rhythmicity during fasting and its entrainment by restricted feeding schedules in rats. Am J Physiol Regulatory Integrative Comp Physiol. 1998, 43: R1309-R1316.Google Scholar
- Díaz-Muñoz M, Vázquez-Martínez O, Aguilar-Roblero R, Escobar C: Anticipatory changes in liver metabolism and entrainment of insulin, glucagon, and corticosterone in food-restricted rats. Am J Physiol Regulatory Integrative Comp Physiol. 2000, 279: R2048-R2056.Google Scholar
- Kietzmann T, Jungermann K: Metabolic zonation of liver parenchyma and its short-term and long-term regulation. Functional Heterogeneity of Liver Tissue. Edited by: Vidal-Vanaclocha F. 1997, Landes Company, 1-42.Google Scholar
- Pocai A, Obici S, Schwartz GJ, Rosseti L: A brain-liver circuit regulates glucose homeostasis. Cell Metab. 2005, 1: 53-61. 10.1016/j.cmet.2004.11.001.View ArticlePubMedGoogle Scholar
- Báez-Ruiz A, Escobar C, Aguilar-Roblero R, Vázquez-Martínez O, Díaz-Muñoz M: Metabolic adaptation of liver mitochondria during restricted feeding schedules. Am J Physiol Gastrointest Liver Physiol. 2006, 289: G1015-G1023. 10.1152/ajpgi.00488.2004.View ArticleGoogle Scholar
- Aceves C, Escobar C, Rojas-Huidobro R, Vázquez-Martínez O, Martínez-Merlos T, Aguilar-Roblero R, Díaz-Muñoz M: Liver 5'-deiodinase activity is modified in rats under restricted feeding schedules: evidence for post-translational regulation. J Endocrinol. 2003, 179: 91-96. 10.1677/joe.0.1790091.View ArticlePubMedGoogle Scholar
- Luna-Moreno D, Vázquez-Martínez O, Báez-Ruiz A, Ramírez J, Díaz-Muñoz M: Food restricted schedules promote differential lipoperoxidative activity in rat hepatic subcellular fractions. Comp Biochem Physiol A Mol Integr Physiol. 2007, 146: 632-643. 10.1016/j.cbpa.2006.02.039.View ArticlePubMedGoogle Scholar
- Stokkan KA, Yamazaki S, Tei H, Sakaki Y, Menaker M: Entrainment of the circadian clock in the liver by feeding. Science. 2001, 291: 490-493. 10.1126/science.291.5503.490.View ArticlePubMedGoogle Scholar
- Gutiérrez-Salinas J, Miranda-Garduño L, Trejo-Izquierdo E, Díaz-Muñoz M, Vidrio S, Morales-González JA, Hernández-Muñoz R: Redox state and energy metabolism during liver regeneration. Alterations produced by acute etanol administration. Biochem Pharmacol. 1999, 58: 1831-1839. 10.1016/S0006-2952(99)00261-0.View ArticlePubMedGoogle Scholar
- Hernández-Muñoz R, Díaz-Muñoz M, Chagoya de Sánchez V: Effects of adenosine administration on the function and membrane composition of liver mitochondria in carbon tetrachloride-induced cirrhosis. Arch Biochem Biophys. 1992, 294: 160-167. 10.1016/0003-9861(92)90151-L.View ArticlePubMedGoogle Scholar
- Ostrowski S, Mesochina P, Williams JB: Physiological adjustments of sand gazelles (Gazella subgutturosa) to a boom-or-bust economy: standard fasting metabolic rate, total evaporative water loss, and changes in the sizes of organs during food and water restriction. Physiol Biochem Zool. 2006, 79: 810-819. 10.1086/504614.View ArticlePubMedGoogle Scholar
- Tongiani R, Chieli E, Malvaldi G: Circadian rhythm of dry mass and weight-class-pattern of the rat hepatocytes. Effects of light-dark and feeding regimens. Acta Histochem. 1982, 70: 78-88.View ArticlePubMedGoogle Scholar
- Uhal BD, Roehrig KL: Effect of dietary state on hepatocyte size. Biosci Rep. 1982, 2: 1003-1007. 10.1007/BF01122168.View ArticlePubMedGoogle Scholar
- Russek M: Participation of hepatic glucoreceptors in the control of intake of food. Nature. 1963, 197: 79-80. 10.1038/197079b0.View ArticlePubMedGoogle Scholar
- Langmesser S, Albretch U: Life time -Circadian clocks, mitochondria and metabolism. Chronobiol Int. 2006, 23: 151-157. 10.1080/07420520500464437.View ArticlePubMedGoogle Scholar
- Hogenesch JB, Panda S, Kay S, Takahashi JS: Circadian transcriptional output in the SCN and liver of the mouse. Novartis Found Symp. 2003, 253: 171-180. full_text.View ArticlePubMedGoogle Scholar
- Stephan FK, Davidson AJ: Glucose, but not fat, phase shifts the feeding-entrained circadian clock. Physiol Behav. 1998, 65: 277-288. 10.1016/S0031-9384(98)00166-8.View ArticlePubMedGoogle Scholar
- Buiatti M, Buiatti M: The living state of matter. Riv Biol. 2001, 94: 59-82.PubMedGoogle Scholar
- Davidson AJ, Castañon-Cervantes O, Stephan KF: Daily oscillations in liver function: diurnal vs circadian rhythmicity. Liver Int. 2004, 24: 179-186. 10.1111/j.1478-3231.2004.00917.x.View ArticlePubMedGoogle Scholar
- Martínez-Merlos T, Ángeles-Castellanos M, Díaz-Muñoz M, Aguilar-Roblero R, Escobar C: Dissociation between adipose tissue signals, behavior and the food entrained oscillator. J Endocrinol. 2004, 181: 53-63. 10.1677/joe.0.1810053.View ArticlePubMedGoogle Scholar
- Kast A, Nishikawa J, Yabe T, Nanri H, Albert H: Circadian rhythm of liver parameters (cellular structures, mitotic activity, glycogen and lipids in liver and serum) during three consecutive cycles in phenobarbital-treated rats. Chronobiol Int. 1988, 5: 363-385. 10.3109/07420528809067782.View ArticlePubMedGoogle Scholar
- Robins SJ, Fasulo JM, Pritzker CR, Ordovas JM, Patton GM: Diurnal changes and adaptation by the liver of hamsters to an atherogenic diet. Am J Physiol. 1995, 269: 1327-1332.Google Scholar
- Báez-Ruiz A, Luna-Moreno D, Vázquez-Martínez O, Ramírez-Salcedo J, Díaz-Muñoz M: The food entrainable oscillator studied by DNA microarrays: What is the liver doing during food anticipatory activity?. Biol Rhythm Res. 2005, 36: 83-97. 10.1080/09291010400028674.View ArticleGoogle Scholar
- Uchiyama Y, Asari A: A morphometric study of the variations in subcellular structures of rat hepatocytes during 24 hours. Cell Tissue Res. 1984, 236: 305-315. 10.1007/BF00214231.View ArticlePubMedGoogle Scholar
- Davidson AJ, Stephan FK: Plasma glucagon, glucose, insulin and motilin in rats anticipating daily meals. Physiol Behav. 1999, 66: 309-215. 10.1016/S0031-9384(98)00308-4.View ArticlePubMedGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.